From 8f87b420b916ac5bde54516fb8e57cf81f4e355f Mon Sep 17 00:00:00 2001
From: Max Halford <maxhalford25@gmail.com>
Date: Wed, 25 Sep 2024 20:17:24 +0200
Subject: [PATCH] Deployed 84a348a with MkDocs version: 1.6.0

---
 404.html                                  |   2 +-
 examples/example.ddb                      | Bin 3158016 -> 4730880 bytes
 examples/fashion-brand-co2e.ipynb         | 230 +++++++--------
 examples/fashion-brand-co2e/index.html    | 194 ++++++------
 examples/ibis.ipynb                       | 225 +++++++-------
 examples/ibis/index.html                  | 159 +++++-----
 examples/iowa-whiskey-sales.ipynb         | 292 +++++++++---------
 examples/iowa-whiskey-sales/index.html    | 256 ++++++++--------
 examples/simple-revenue-funnel.ipynb      | 344 +++++++++++-----------
 examples/simple-revenue-funnel/index.html | 306 +++++++++----------
 index.html                                |   2 +-
 installation/index.html                   |   2 +-
 methods/funnel.ipynb                      |   8 +-
 methods/funnel/index.html                 |   2 +-
 methods/ratio/index.html                  |   2 +-
 methods/total/index.html                  |   2 +-
 search/search_index.json                  |   2 +-
 theme/index.html                          |   2 +-
 18 files changed, 996 insertions(+), 1034 deletions(-)

diff --git a/404.html b/404.html
index dcfbcd2..d9e530a 100644
--- a/404.html
+++ b/404.html
@@ -451,7 +451,7 @@
         
   
   <span class="md-ellipsis">
-    Different backend support with Ibis 🐦
+    Different backend support with Ibis 🪽
   </span>
   
 
diff --git a/examples/example.ddb b/examples/example.ddb
index 2f4aa64d8da704315d855d7ebb598eca7e0e5447..ceeba0dfd31d2319a4bb9f5fea7ecf2640cda7a9 100644
GIT binary patch
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Ee|rGr+yDRo

diff --git a/examples/fashion-brand-co2e.ipynb b/examples/fashion-brand-co2e.ipynb
index 3dfa2cf..355cbd7 100644
--- a/examples/fashion-brand-co2e.ipynb
+++ b/examples/fashion-brand-co2e.ipynb
@@ -21,10 +21,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-25T08:40:15.405313Z",
-     "iopub.status.busy": "2024-09-25T08:40:15.405215Z",
-     "iopub.status.idle": "2024-09-25T08:40:15.649547Z",
-     "shell.execute_reply": "2024-09-25T08:40:15.649239Z"
+     "iopub.execute_input": "2024-09-25T18:17:07.663533Z",
+     "iopub.status.busy": "2024-09-25T18:17:07.662999Z",
+     "iopub.status.idle": "2024-09-25T18:17:07.946187Z",
+     "shell.execute_reply": "2024-09-25T18:17:07.945926Z"
     }
    },
    "outputs": [
@@ -33,63 +33,63 @@
       "text/html": [
        "<style type=\"text/css\">\n",
        "</style>\n",
-       "<table id=\"T_c2425\">\n",
+       "<table id=\"T_84c82\">\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_c2425_level0_col0\" class=\"col_heading level0 col0\" >year</th>\n",
-       "      <th id=\"T_c2425_level0_col1\" class=\"col_heading level0 col1\" >category</th>\n",
-       "      <th id=\"T_c2425_level0_col2\" class=\"col_heading level0 col2\" >product_id</th>\n",
-       "      <th id=\"T_c2425_level0_col3\" class=\"col_heading level0 col3\" >footprint</th>\n",
-       "      <th id=\"T_c2425_level0_col4\" class=\"col_heading level0 col4\" >units</th>\n",
+       "      <th id=\"T_84c82_level0_col0\" class=\"col_heading level0 col0\" >year</th>\n",
+       "      <th id=\"T_84c82_level0_col1\" class=\"col_heading level0 col1\" >category</th>\n",
+       "      <th id=\"T_84c82_level0_col2\" class=\"col_heading level0 col2\" >product_id</th>\n",
+       "      <th id=\"T_84c82_level0_col3\" class=\"col_heading level0 col3\" >footprint</th>\n",
+       "      <th id=\"T_84c82_level0_col4\" class=\"col_heading level0 col4\" >units</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_c2425_level0_row0\" class=\"row_heading level0 row0\" >90512</th>\n",
-       "      <td id=\"T_c2425_row0_col0\" class=\"data row0 col0\" >2022</td>\n",
-       "      <td id=\"T_c2425_row0_col1\" class=\"data row0 col1\" >TSHIRT</td>\n",
-       "      <td id=\"T_c2425_row0_col2\" class=\"data row0 col2\" >cea26442</td>\n",
-       "      <td id=\"T_c2425_row0_col3\" class=\"data row0 col3\" >7.62kgCO2e</td>\n",
-       "      <td id=\"T_c2425_row0_col4\" class=\"data row0 col4\" >1,486</td>\n",
+       "      <th id=\"T_84c82_level0_row0\" class=\"row_heading level0 row0\" >79622</th>\n",
+       "      <td id=\"T_84c82_row0_col0\" class=\"data row0 col0\" >2022</td>\n",
+       "      <td id=\"T_84c82_row0_col1\" class=\"data row0 col1\" >PANTS</td>\n",
+       "      <td id=\"T_84c82_row0_col2\" class=\"data row0 col2\" >0c7938bf</td>\n",
+       "      <td id=\"T_84c82_row0_col3\" class=\"data row0 col3\" >13.38kgCO2e</td>\n",
+       "      <td id=\"T_84c82_row0_col4\" class=\"data row0 col4\" >105</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_c2425_level0_row1\" class=\"row_heading level0 row1\" >46075</th>\n",
-       "      <td id=\"T_c2425_row1_col0\" class=\"data row1 col0\" >2022</td>\n",
-       "      <td id=\"T_c2425_row1_col1\" class=\"data row1 col1\" >JACKET</td>\n",
-       "      <td id=\"T_c2425_row1_col2\" class=\"data row1 col2\" >d17ec415</td>\n",
-       "      <td id=\"T_c2425_row1_col3\" class=\"data row1 col3\" >38.43kgCO2e</td>\n",
-       "      <td id=\"T_c2425_row1_col4\" class=\"data row1 col4\" >2,254</td>\n",
+       "      <th id=\"T_84c82_level0_row1\" class=\"row_heading level0 row1\" >23575</th>\n",
+       "      <td id=\"T_84c82_row1_col0\" class=\"data row1 col0\" >2021</td>\n",
+       "      <td id=\"T_84c82_row1_col1\" class=\"data row1 col1\" >PANTS</td>\n",
+       "      <td id=\"T_84c82_row1_col2\" class=\"data row1 col2\" >7693f75b</td>\n",
+       "      <td id=\"T_84c82_row1_col3\" class=\"data row1 col3\" >36.50kgCO2e</td>\n",
+       "      <td id=\"T_84c82_row1_col4\" class=\"data row1 col4\" >41</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_c2425_level0_row2\" class=\"row_heading level0 row2\" >51849</th>\n",
-       "      <td id=\"T_c2425_row2_col0\" class=\"data row2 col0\" >2022</td>\n",
-       "      <td id=\"T_c2425_row2_col1\" class=\"data row2 col1\" >PANTS</td>\n",
-       "      <td id=\"T_c2425_row2_col2\" class=\"data row2 col2\" >d5531c9b</td>\n",
-       "      <td id=\"T_c2425_row2_col3\" class=\"data row2 col3\" >41.55kgCO2e</td>\n",
-       "      <td id=\"T_c2425_row2_col4\" class=\"data row2 col4\" >8</td>\n",
+       "      <th id=\"T_84c82_level0_row2\" class=\"row_heading level0 row2\" >113417</th>\n",
+       "      <td id=\"T_84c82_row2_col0\" class=\"data row2 col0\" >2023</td>\n",
+       "      <td id=\"T_84c82_row2_col1\" class=\"data row2 col1\" >PANTS</td>\n",
+       "      <td id=\"T_84c82_row2_col2\" class=\"data row2 col2\" >c5c54140</td>\n",
+       "      <td id=\"T_84c82_row2_col3\" class=\"data row2 col3\" >26.89kgCO2e</td>\n",
+       "      <td id=\"T_84c82_row2_col4\" class=\"data row2 col4\" >288</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_c2425_level0_row3\" class=\"row_heading level0 row3\" >12818</th>\n",
-       "      <td id=\"T_c2425_row3_col0\" class=\"data row3 col0\" >2021</td>\n",
-       "      <td id=\"T_c2425_row3_col1\" class=\"data row3 col1\" >PANTS</td>\n",
-       "      <td id=\"T_c2425_row3_col2\" class=\"data row3 col2\" >335f31e3</td>\n",
-       "      <td id=\"T_c2425_row3_col3\" class=\"data row3 col3\" >13.53kgCO2e</td>\n",
-       "      <td id=\"T_c2425_row3_col4\" class=\"data row3 col4\" >4</td>\n",
+       "      <th id=\"T_84c82_level0_row3\" class=\"row_heading level0 row3\" >67791</th>\n",
+       "      <td id=\"T_84c82_row3_col0\" class=\"data row3 col0\" >2022</td>\n",
+       "      <td id=\"T_84c82_row3_col1\" class=\"data row3 col1\" >PANTS</td>\n",
+       "      <td id=\"T_84c82_row3_col2\" class=\"data row3 col2\" >aed08558</td>\n",
+       "      <td id=\"T_84c82_row3_col3\" class=\"data row3 col3\" >106.76kgCO2e</td>\n",
+       "      <td id=\"T_84c82_row3_col4\" class=\"data row3 col4\" >301</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_c2425_level0_row4\" class=\"row_heading level0 row4\" >64870</th>\n",
-       "      <td id=\"T_c2425_row4_col0\" class=\"data row4 col0\" >2022</td>\n",
-       "      <td id=\"T_c2425_row4_col1\" class=\"data row4 col1\" >PANTS</td>\n",
-       "      <td id=\"T_c2425_row4_col2\" class=\"data row4 col2\" >e5562fe8</td>\n",
-       "      <td id=\"T_c2425_row4_col3\" class=\"data row4 col3\" >29.16kgCO2e</td>\n",
-       "      <td id=\"T_c2425_row4_col4\" class=\"data row4 col4\" >576</td>\n",
+       "      <th id=\"T_84c82_level0_row4\" class=\"row_heading level0 row4\" >49045</th>\n",
+       "      <td id=\"T_84c82_row4_col0\" class=\"data row4 col0\" >2022</td>\n",
+       "      <td id=\"T_84c82_row4_col1\" class=\"data row4 col1\" >PANTS</td>\n",
+       "      <td id=\"T_84c82_row4_col2\" class=\"data row4 col2\" >a1cf7d5c</td>\n",
+       "      <td id=\"T_84c82_row4_col3\" class=\"data row4 col3\" >35.67kgCO2e</td>\n",
+       "      <td id=\"T_84c82_row4_col4\" class=\"data row4 col4\" >925</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x11a8f7390>"
+       "<pandas.io.formats.style.Styler at 0x11659a9d0>"
       ]
      },
      "execution_count": 1,
@@ -123,10 +123,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-25T08:40:15.666848Z",
-     "iopub.status.busy": "2024-09-25T08:40:15.666609Z",
-     "iopub.status.idle": "2024-09-25T08:40:15.688363Z",
-     "shell.execute_reply": "2024-09-25T08:40:15.688091Z"
+     "iopub.execute_input": "2024-09-25T18:17:07.963649Z",
+     "iopub.status.busy": "2024-09-25T18:17:07.963431Z",
+     "iopub.status.idle": "2024-09-25T18:17:07.983272Z",
+     "shell.execute_reply": "2024-09-25T18:17:07.983004Z"
     }
    },
    "outputs": [
@@ -135,12 +135,12 @@
       "text/html": [
        "<style type=\"text/css\">\n",
        "</style>\n",
-       "<table id=\"T_03f18\">\n",
+       "<table id=\"T_b088c\">\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_03f18_level0_col0\" class=\"col_heading level0 col0\" >average</th>\n",
-       "      <th id=\"T_03f18_level0_col1\" class=\"col_heading level0 col1\" >diff</th>\n",
+       "      <th id=\"T_b088c_level0_col0\" class=\"col_heading level0 col0\" >average</th>\n",
+       "      <th id=\"T_b088c_level0_col1\" class=\"col_heading level0 col1\" >diff</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th class=\"index_name level0\" >year</th>\n",
@@ -150,25 +150,25 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_03f18_level0_row0\" class=\"row_heading level0 row0\" >2021</th>\n",
-       "      <td id=\"T_03f18_row0_col0\" class=\"data row0 col0\" >21.95kgCO2e</td>\n",
-       "      <td id=\"T_03f18_row0_col1\" class=\"data row0 col1\" ></td>\n",
+       "      <th id=\"T_b088c_level0_row0\" class=\"row_heading level0 row0\" >2021</th>\n",
+       "      <td id=\"T_b088c_row0_col0\" class=\"data row0 col0\" >21.95kgCO2e</td>\n",
+       "      <td id=\"T_b088c_row0_col1\" class=\"data row0 col1\" ></td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_03f18_level0_row1\" class=\"row_heading level0 row1\" >2022</th>\n",
-       "      <td id=\"T_03f18_row1_col0\" class=\"data row1 col0\" >21.71kgCO2e</td>\n",
-       "      <td id=\"T_03f18_row1_col1\" class=\"data row1 col1\" >-0.24kgCO2e</td>\n",
+       "      <th id=\"T_b088c_level0_row1\" class=\"row_heading level0 row1\" >2022</th>\n",
+       "      <td id=\"T_b088c_row1_col0\" class=\"data row1 col0\" >21.71kgCO2e</td>\n",
+       "      <td id=\"T_b088c_row1_col1\" class=\"data row1 col1\" >-0.24kgCO2e</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_03f18_level0_row2\" class=\"row_heading level0 row2\" >2023</th>\n",
-       "      <td id=\"T_03f18_row2_col0\" class=\"data row2 col0\" >22.74kgCO2e</td>\n",
-       "      <td id=\"T_03f18_row2_col1\" class=\"data row2 col1\" >1.03kgCO2e</td>\n",
+       "      <th id=\"T_b088c_level0_row2\" class=\"row_heading level0 row2\" >2023</th>\n",
+       "      <td id=\"T_b088c_row2_col0\" class=\"data row2 col0\" >22.74kgCO2e</td>\n",
+       "      <td id=\"T_b088c_row2_col1\" class=\"data row2 col1\" >1.03kgCO2e</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x11ca6bb10>"
+       "<pandas.io.formats.style.Styler at 0x114397a10>"
       ]
      },
      "execution_count": 2,
@@ -208,10 +208,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-25T08:40:15.689716Z",
-     "iopub.status.busy": "2024-09-25T08:40:15.689591Z",
-     "iopub.status.idle": "2024-09-25T08:40:16.035496Z",
-     "shell.execute_reply": "2024-09-25T08:40:16.035164Z"
+     "iopub.execute_input": "2024-09-25T18:17:07.984631Z",
+     "iopub.status.busy": "2024-09-25T18:17:07.984530Z",
+     "iopub.status.idle": "2024-09-25T18:17:08.330730Z",
+     "shell.execute_reply": "2024-09-25T18:17:08.330457Z"
     }
    },
    "outputs": [
@@ -220,13 +220,13 @@
       "text/html": [
        "<style type=\"text/css\">\n",
        "</style>\n",
-       "<table id=\"T_3f3dd\">\n",
+       "<table id=\"T_450d3\">\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th class=\"blank\" >&nbsp;</th>\n",
        "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_3f3dd_level0_col0\" class=\"col_heading level0 col0\" >inner</th>\n",
-       "      <th id=\"T_3f3dd_level0_col1\" class=\"col_heading level0 col1\" >mix</th>\n",
+       "      <th id=\"T_450d3_level0_col0\" class=\"col_heading level0 col0\" >inner</th>\n",
+       "      <th id=\"T_450d3_level0_col1\" class=\"col_heading level0 col1\" >mix</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th class=\"index_name level0\" >year</th>\n",
@@ -237,72 +237,72 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_3f3dd_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"6\">2022</th>\n",
-       "      <th id=\"T_3f3dd_level1_row0\" class=\"row_heading level1 row0\" >DRESS</th>\n",
-       "      <td id=\"T_3f3dd_row0_col0\" class=\"data row0 col0\" >0.05kgCO2e</td>\n",
-       "      <td id=\"T_3f3dd_row0_col1\" class=\"data row0 col1\" >-0.14kgCO2e</td>\n",
+       "      <th id=\"T_450d3_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"6\">2022</th>\n",
+       "      <th id=\"T_450d3_level1_row0\" class=\"row_heading level1 row0\" >DRESS</th>\n",
+       "      <td id=\"T_450d3_row0_col0\" class=\"data row0 col0\" >0.05kgCO2e</td>\n",
+       "      <td id=\"T_450d3_row0_col1\" class=\"data row0 col1\" >-0.14kgCO2e</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_3f3dd_level1_row1\" class=\"row_heading level1 row1\" >JACKET</th>\n",
-       "      <td id=\"T_3f3dd_row1_col0\" class=\"data row1 col0\" >-0.17kgCO2e</td>\n",
-       "      <td id=\"T_3f3dd_row1_col1\" class=\"data row1 col1\" >-0.69kgCO2e</td>\n",
+       "      <th id=\"T_450d3_level1_row1\" class=\"row_heading level1 row1\" >JACKET</th>\n",
+       "      <td id=\"T_450d3_row1_col0\" class=\"data row1 col0\" >-0.17kgCO2e</td>\n",
+       "      <td id=\"T_450d3_row1_col1\" class=\"data row1 col1\" >-0.69kgCO2e</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_3f3dd_level1_row2\" class=\"row_heading level1 row2\" >PANTS</th>\n",
-       "      <td id=\"T_3f3dd_row2_col0\" class=\"data row2 col0\" >0.61kgCO2e</td>\n",
-       "      <td id=\"T_3f3dd_row2_col1\" class=\"data row2 col1\" >0.20kgCO2e</td>\n",
+       "      <th id=\"T_450d3_level1_row2\" class=\"row_heading level1 row2\" >PANTS</th>\n",
+       "      <td id=\"T_450d3_row2_col0\" class=\"data row2 col0\" >0.61kgCO2e</td>\n",
+       "      <td id=\"T_450d3_row2_col1\" class=\"data row2 col1\" >0.20kgCO2e</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_3f3dd_level1_row3\" class=\"row_heading level1 row3\" >SHIRT</th>\n",
-       "      <td id=\"T_3f3dd_row3_col0\" class=\"data row3 col0\" >-0.02kgCO2e</td>\n",
-       "      <td id=\"T_3f3dd_row3_col1\" class=\"data row3 col1\" >0.00kgCO2e</td>\n",
+       "      <th id=\"T_450d3_level1_row3\" class=\"row_heading level1 row3\" >SHIRT</th>\n",
+       "      <td id=\"T_450d3_row3_col0\" class=\"data row3 col0\" >-0.02kgCO2e</td>\n",
+       "      <td id=\"T_450d3_row3_col1\" class=\"data row3 col1\" >0.00kgCO2e</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_3f3dd_level1_row4\" class=\"row_heading level1 row4\" >SWEATER</th>\n",
-       "      <td id=\"T_3f3dd_row4_col0\" class=\"data row4 col0\" >-0.39kgCO2e</td>\n",
-       "      <td id=\"T_3f3dd_row4_col1\" class=\"data row4 col1\" >-0.09kgCO2e</td>\n",
+       "      <th id=\"T_450d3_level1_row4\" class=\"row_heading level1 row4\" >SWEATER</th>\n",
+       "      <td id=\"T_450d3_row4_col0\" class=\"data row4 col0\" >-0.39kgCO2e</td>\n",
+       "      <td id=\"T_450d3_row4_col1\" class=\"data row4 col1\" >-0.09kgCO2e</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_3f3dd_level1_row5\" class=\"row_heading level1 row5\" >TSHIRT</th>\n",
-       "      <td id=\"T_3f3dd_row5_col0\" class=\"data row5 col0\" >0.08kgCO2e</td>\n",
-       "      <td id=\"T_3f3dd_row5_col1\" class=\"data row5 col1\" >0.30kgCO2e</td>\n",
+       "      <th id=\"T_450d3_level1_row5\" class=\"row_heading level1 row5\" >TSHIRT</th>\n",
+       "      <td id=\"T_450d3_row5_col0\" class=\"data row5 col0\" >0.08kgCO2e</td>\n",
+       "      <td id=\"T_450d3_row5_col1\" class=\"data row5 col1\" >0.30kgCO2e</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_3f3dd_level0_row6\" class=\"row_heading level0 row6\" rowspan=\"6\">2023</th>\n",
-       "      <th id=\"T_3f3dd_level1_row6\" class=\"row_heading level1 row6\" >DRESS</th>\n",
-       "      <td id=\"T_3f3dd_row6_col0\" class=\"data row6 col0\" >-0.08kgCO2e</td>\n",
-       "      <td id=\"T_3f3dd_row6_col1\" class=\"data row6 col1\" >0.51kgCO2e</td>\n",
+       "      <th id=\"T_450d3_level0_row6\" class=\"row_heading level0 row6\" rowspan=\"6\">2023</th>\n",
+       "      <th id=\"T_450d3_level1_row6\" class=\"row_heading level1 row6\" >DRESS</th>\n",
+       "      <td id=\"T_450d3_row6_col0\" class=\"data row6 col0\" >-0.08kgCO2e</td>\n",
+       "      <td id=\"T_450d3_row6_col1\" class=\"data row6 col1\" >0.51kgCO2e</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_3f3dd_level1_row7\" class=\"row_heading level1 row7\" >JACKET</th>\n",
-       "      <td id=\"T_3f3dd_row7_col0\" class=\"data row7 col0\" >-0.13kgCO2e</td>\n",
-       "      <td id=\"T_3f3dd_row7_col1\" class=\"data row7 col1\" >0.97kgCO2e</td>\n",
+       "      <th id=\"T_450d3_level1_row7\" class=\"row_heading level1 row7\" >JACKET</th>\n",
+       "      <td id=\"T_450d3_row7_col0\" class=\"data row7 col0\" >-0.13kgCO2e</td>\n",
+       "      <td id=\"T_450d3_row7_col1\" class=\"data row7 col1\" >0.97kgCO2e</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_3f3dd_level1_row8\" class=\"row_heading level1 row8\" >PANTS</th>\n",
-       "      <td id=\"T_3f3dd_row8_col0\" class=\"data row8 col0\" >-0.22kgCO2e</td>\n",
-       "      <td id=\"T_3f3dd_row8_col1\" class=\"data row8 col1\" >-0.09kgCO2e</td>\n",
+       "      <th id=\"T_450d3_level1_row8\" class=\"row_heading level1 row8\" >PANTS</th>\n",
+       "      <td id=\"T_450d3_row8_col0\" class=\"data row8 col0\" >-0.22kgCO2e</td>\n",
+       "      <td id=\"T_450d3_row8_col1\" class=\"data row8 col1\" >-0.09kgCO2e</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_3f3dd_level1_row9\" class=\"row_heading level1 row9\" >SHIRT</th>\n",
-       "      <td id=\"T_3f3dd_row9_col0\" class=\"data row9 col0\" >0.02kgCO2e</td>\n",
-       "      <td id=\"T_3f3dd_row9_col1\" class=\"data row9 col1\" >-0.03kgCO2e</td>\n",
+       "      <th id=\"T_450d3_level1_row9\" class=\"row_heading level1 row9\" >SHIRT</th>\n",
+       "      <td id=\"T_450d3_row9_col0\" class=\"data row9 col0\" >0.02kgCO2e</td>\n",
+       "      <td id=\"T_450d3_row9_col1\" class=\"data row9 col1\" >-0.03kgCO2e</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_3f3dd_level1_row10\" class=\"row_heading level1 row10\" >SWEATER</th>\n",
-       "      <td id=\"T_3f3dd_row10_col0\" class=\"data row10 col0\" >-0.06kgCO2e</td>\n",
-       "      <td id=\"T_3f3dd_row10_col1\" class=\"data row10 col1\" >0.36kgCO2e</td>\n",
+       "      <th id=\"T_450d3_level1_row10\" class=\"row_heading level1 row10\" >SWEATER</th>\n",
+       "      <td id=\"T_450d3_row10_col0\" class=\"data row10 col0\" >-0.06kgCO2e</td>\n",
+       "      <td id=\"T_450d3_row10_col1\" class=\"data row10 col1\" >0.36kgCO2e</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_3f3dd_level1_row11\" class=\"row_heading level1 row11\" >TSHIRT</th>\n",
-       "      <td id=\"T_3f3dd_row11_col0\" class=\"data row11 col0\" >-0.16kgCO2e</td>\n",
-       "      <td id=\"T_3f3dd_row11_col1\" class=\"data row11 col1\" >-0.06kgCO2e</td>\n",
+       "      <th id=\"T_450d3_level1_row11\" class=\"row_heading level1 row11\" >TSHIRT</th>\n",
+       "      <td id=\"T_450d3_row11_col0\" class=\"data row11 col0\" >-0.16kgCO2e</td>\n",
+       "      <td id=\"T_450d3_row11_col1\" class=\"data row11 col1\" >-0.06kgCO2e</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x11d104e90>"
+       "<pandas.io.formats.style.Styler at 0x12077b390>"
       ]
      },
      "execution_count": 3,
@@ -343,10 +343,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-25T08:40:16.037078Z",
-     "iopub.status.busy": "2024-09-25T08:40:16.036965Z",
-     "iopub.status.idle": "2024-09-25T08:40:16.268245Z",
-     "shell.execute_reply": "2024-09-25T08:40:16.267977Z"
+     "iopub.execute_input": "2024-09-25T18:17:08.332085Z",
+     "iopub.status.busy": "2024-09-25T18:17:08.331986Z",
+     "iopub.status.idle": "2024-09-25T18:17:08.541018Z",
+     "shell.execute_reply": "2024-09-25T18:17:08.540737Z"
     }
    },
    "outputs": [
@@ -355,23 +355,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-72a67fae653241d484f323a4b24081ec.vega-embed {\n",
+       "  #altair-viz-43bbf233793d498ca19b318d1caf9520.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-72a67fae653241d484f323a4b24081ec.vega-embed details,\n",
-       "  #altair-viz-72a67fae653241d484f323a4b24081ec.vega-embed details summary {\n",
+       "  #altair-viz-43bbf233793d498ca19b318d1caf9520.vega-embed details,\n",
+       "  #altair-viz-43bbf233793d498ca19b318d1caf9520.vega-embed details summary {\n",
        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-72a67fae653241d484f323a4b24081ec\"></div>\n",
+       "<div id=\"altair-viz-43bbf233793d498ca19b318d1caf9520\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-72a67fae653241d484f323a4b24081ec\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-72a67fae653241d484f323a4b24081ec\");\n",
+       "    if (outputDiv.id !== \"altair-viz-43bbf233793d498ca19b318d1caf9520\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-43bbf233793d498ca19b318d1caf9520\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -417,7 +417,7 @@
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        "        .then(() => displayChart(vegaEmbed));\n",
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{\"year\": 2022, \"category\": \"SHIRT\", \"impact\": 0.004249415405470712, \"kind\": \"mix\", \"end\": 23.205950469562424, \"start\": 23.201701054156956, \"label\": \"2022 \\u2022 SHIRT \\u2022 mix\", \"is_positive\": true}, {\"year\": 2022, \"category\": \"SHIRT\", \"impact\": -0.017932535305564764, \"kind\": \"inner\", \"end\": 23.188017934256862, \"start\": 23.205950469562424, \"label\": \"2022 \\u2022 SHIRT \\u2022 inner\", \"is_positive\": false}, {\"year\": 2022, \"category\": \"SWEATER\", \"impact\": -0.08811989002715365, \"kind\": \"mix\", \"end\": 23.099898044229707, \"start\": 23.188017934256862, \"label\": \"2022 \\u2022 SWEATER \\u2022 mix\", \"is_positive\": false}, {\"year\": 2022, \"category\": \"DRESS\", \"impact\": -0.13611661127961636, \"kind\": \"mix\", \"end\": 22.963781432950093, \"start\": 23.099898044229707, \"label\": \"2022 \\u2022 DRESS \\u2022 mix\", \"is_positive\": false}, {\"year\": 2022, \"category\": \"JACKET\", \"impact\": -0.16558724703683306, \"kind\": \"inner\", \"end\": 22.798194185913257, \"start\": 22.963781432950093, \"label\": \"2022 \\u2022 JACKET \\u2022 inner\", \"is_positive\": false}, {\"year\": 2022, \"category\": \"SWEATER\", \"impact\": -0.39426152927404745, \"kind\": \"inner\", \"end\": 22.40393265663921, \"start\": 22.798194185913257, \"label\": \"2022 \\u2022 SWEATER \\u2022 inner\", \"is_positive\": false}, {\"year\": 2022, \"category\": \"JACKET\", \"impact\": -0.6905343501362712, \"kind\": \"mix\", \"end\": 21.71339830650294, \"start\": 22.40393265663921, \"label\": \"2022 \\u2022 JACKET \\u2022 mix\", \"is_positive\": false}], \"data-bc638dec2a34df2f2471c7665833fe5f\": [{\"label\": [2022], \"total\": 21.713398306502942}], \"data-238ce6794be2b25387e2bda94e764c49\": [{\"year\": 2023, \"category\": \"JACKET\", \"impact\": 0.9698501184475561, \"kind\": \"mix\", \"end\": 22.6832484249505, \"start\": 21.713398306502942, \"label\": \"2023 \\u2022 JACKET \\u2022 mix\", \"is_positive\": true}, {\"year\": 2023, \"category\": \"DRESS\", \"impact\": 0.5128989262972464, \"kind\": \"mix\", \"end\": 23.196147351247745, \"start\": 22.6832484249505, \"label\": \"2023 \\u2022 DRESS \\u2022 mix\", \"is_positive\": true}, {\"year\": 2023, \"category\": \"SWEATER\", \"impact\": 0.3579306618365037, \"kind\": \"mix\", \"end\": 23.554078013084247, \"start\": 23.196147351247745, \"label\": \"2023 \\u2022 SWEATER \\u2022 mix\", \"is_positive\": true}, {\"year\": 2023, \"category\": \"SHIRT\", \"impact\": 0.017802295811369558, \"kind\": \"inner\", \"end\": 23.57188030889562, \"start\": 23.554078013084247, \"label\": \"2023 \\u2022 SHIRT \\u2022 inner\", \"is_positive\": true}, {\"year\": 2023, \"category\": \"SHIRT\", \"impact\": -0.034300793942507526, \"kind\": \"mix\", \"end\": 23.53757951495311, \"start\": 23.57188030889562, \"label\": \"2023 \\u2022 SHIRT \\u2022 mix\", \"is_positive\": false}, {\"year\": 2023, \"category\": \"TSHIRT\", \"impact\": -0.05598069939020174, \"kind\": \"mix\", \"end\": 23.481598815562908, \"start\": 23.53757951495311, \"label\": \"2023 \\u2022 TSHIRT \\u2022 mix\", \"is_positive\": false}, {\"year\": 2023, \"category\": \"SWEATER\", \"impact\": -0.06285171538046565, \"kind\": \"inner\", \"end\": 23.418747100182443, \"start\": 23.481598815562908, \"label\": \"2023 \\u2022 SWEATER \\u2022 inner\", \"is_positive\": false}, {\"year\": 2023, \"category\": \"DRESS\", \"impact\": -0.08155163940547772, \"kind\": \"inner\", \"end\": 23.337195460776964, \"start\": 23.418747100182443, \"label\": \"2023 \\u2022 DRESS \\u2022 inner\", \"is_positive\": false}, {\"year\": 2023, \"category\": \"PANTS\", \"impact\": -0.08823155008199736, \"kind\": \"mix\", \"end\": 23.248963910694968, \"start\": 23.337195460776964, \"label\": \"2023 \\u2022 PANTS \\u2022 mix\", \"is_positive\": false}, {\"year\": 2023, \"category\": \"JACKET\", \"impact\": -0.12907195009877084, \"kind\": \"inner\", \"end\": 23.119891960596195, \"start\": 23.248963910694968, \"label\": \"2023 \\u2022 JACKET \\u2022 inner\", \"is_positive\": false}, {\"year\": 2023, \"category\": \"TSHIRT\", \"impact\": -0.16246975189864427, \"kind\": \"inner\", \"end\": 22.95742220869755, \"start\": 23.119891960596195, \"label\": \"2023 \\u2022 TSHIRT \\u2022 inner\", \"is_positive\": false}, {\"year\": 2023, \"category\": \"PANTS\", \"impact\": -0.21876005026772086, \"kind\": \"inner\", \"end\": 22.738662158429833, \"start\": 22.95742220869755, \"label\": \"2023 \\u2022 PANTS \\u2022 inner\", \"is_positive\": false}], \"data-f28063f888fbd67e94d16ee44839474a\": [{\"label\": [2023], \"total\": 22.738662158429833}]}}, {\"mode\": \"vega-lite\"});\n",
        "</script>"
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       "text/plain": [
diff --git a/examples/fashion-brand-co2e/index.html b/examples/fashion-brand-co2e/index.html
index 2cb9b8c..a115db0 100644
--- a/examples/fashion-brand-co2e/index.html
+++ b/examples/fashion-brand-co2e/index.html
@@ -477,7 +477,7 @@
         
   
   <span class="md-ellipsis">
-    Different backend support with Ibis 🐦
+    Different backend support with Ibis 🪽
   </span>
   
 
@@ -545,57 +545,57 @@ <h1 id="fashion-brand-co2e-emissions">Fashion brand CO2e emissions 👟<a class=
 </span></code></pre></div>
 <style type="text/css">
 </style>
-<table id="T_c2425">
+<table id="T_84c82">
   <thead>
     <tr>
       <th class="blank level0" >&nbsp;</th>
-      <th id="T_c2425_level0_col0" class="col_heading level0 col0" >year</th>
-      <th id="T_c2425_level0_col1" class="col_heading level0 col1" >category</th>
-      <th id="T_c2425_level0_col2" class="col_heading level0 col2" >product_id</th>
-      <th id="T_c2425_level0_col3" class="col_heading level0 col3" >footprint</th>
-      <th id="T_c2425_level0_col4" class="col_heading level0 col4" >units</th>
+      <th id="T_84c82_level0_col0" class="col_heading level0 col0" >year</th>
+      <th id="T_84c82_level0_col1" class="col_heading level0 col1" >category</th>
+      <th id="T_84c82_level0_col2" class="col_heading level0 col2" >product_id</th>
+      <th id="T_84c82_level0_col3" class="col_heading level0 col3" >footprint</th>
+      <th id="T_84c82_level0_col4" class="col_heading level0 col4" >units</th>
     </tr>
   </thead>
   <tbody>
     <tr>
-      <th id="T_c2425_level0_row0" class="row_heading level0 row0" >90512</th>
-      <td id="T_c2425_row0_col0" class="data row0 col0" >2022</td>
-      <td id="T_c2425_row0_col1" class="data row0 col1" >TSHIRT</td>
-      <td id="T_c2425_row0_col2" class="data row0 col2" >cea26442</td>
-      <td id="T_c2425_row0_col3" class="data row0 col3" >7.62kgCO2e</td>
-      <td id="T_c2425_row0_col4" class="data row0 col4" >1,486</td>
+      <th id="T_84c82_level0_row0" class="row_heading level0 row0" >79622</th>
+      <td id="T_84c82_row0_col0" class="data row0 col0" >2022</td>
+      <td id="T_84c82_row0_col1" class="data row0 col1" >PANTS</td>
+      <td id="T_84c82_row0_col2" class="data row0 col2" >0c7938bf</td>
+      <td id="T_84c82_row0_col3" class="data row0 col3" >13.38kgCO2e</td>
+      <td id="T_84c82_row0_col4" class="data row0 col4" >105</td>
     </tr>
     <tr>
-      <th id="T_c2425_level0_row1" class="row_heading level0 row1" >46075</th>
-      <td id="T_c2425_row1_col0" class="data row1 col0" >2022</td>
-      <td id="T_c2425_row1_col1" class="data row1 col1" >JACKET</td>
-      <td id="T_c2425_row1_col2" class="data row1 col2" >d17ec415</td>
-      <td id="T_c2425_row1_col3" class="data row1 col3" >38.43kgCO2e</td>
-      <td id="T_c2425_row1_col4" class="data row1 col4" >2,254</td>
+      <th id="T_84c82_level0_row1" class="row_heading level0 row1" >23575</th>
+      <td id="T_84c82_row1_col0" class="data row1 col0" >2021</td>
+      <td id="T_84c82_row1_col1" class="data row1 col1" >PANTS</td>
+      <td id="T_84c82_row1_col2" class="data row1 col2" >7693f75b</td>
+      <td id="T_84c82_row1_col3" class="data row1 col3" >36.50kgCO2e</td>
+      <td id="T_84c82_row1_col4" class="data row1 col4" >41</td>
     </tr>
     <tr>
-      <th id="T_c2425_level0_row2" class="row_heading level0 row2" >51849</th>
-      <td id="T_c2425_row2_col0" class="data row2 col0" >2022</td>
-      <td id="T_c2425_row2_col1" class="data row2 col1" >PANTS</td>
-      <td id="T_c2425_row2_col2" class="data row2 col2" >d5531c9b</td>
-      <td id="T_c2425_row2_col3" class="data row2 col3" >41.55kgCO2e</td>
-      <td id="T_c2425_row2_col4" class="data row2 col4" >8</td>
+      <th id="T_84c82_level0_row2" class="row_heading level0 row2" >113417</th>
+      <td id="T_84c82_row2_col0" class="data row2 col0" >2023</td>
+      <td id="T_84c82_row2_col1" class="data row2 col1" >PANTS</td>
+      <td id="T_84c82_row2_col2" class="data row2 col2" >c5c54140</td>
+      <td id="T_84c82_row2_col3" class="data row2 col3" >26.89kgCO2e</td>
+      <td id="T_84c82_row2_col4" class="data row2 col4" >288</td>
     </tr>
     <tr>
-      <th id="T_c2425_level0_row3" class="row_heading level0 row3" >12818</th>
-      <td id="T_c2425_row3_col0" class="data row3 col0" >2021</td>
-      <td id="T_c2425_row3_col1" class="data row3 col1" >PANTS</td>
-      <td id="T_c2425_row3_col2" class="data row3 col2" >335f31e3</td>
-      <td id="T_c2425_row3_col3" class="data row3 col3" >13.53kgCO2e</td>
-      <td id="T_c2425_row3_col4" class="data row3 col4" >4</td>
+      <th id="T_84c82_level0_row3" class="row_heading level0 row3" >67791</th>
+      <td id="T_84c82_row3_col0" class="data row3 col0" >2022</td>
+      <td id="T_84c82_row3_col1" class="data row3 col1" >PANTS</td>
+      <td id="T_84c82_row3_col2" class="data row3 col2" >aed08558</td>
+      <td id="T_84c82_row3_col3" class="data row3 col3" >106.76kgCO2e</td>
+      <td id="T_84c82_row3_col4" class="data row3 col4" >301</td>
     </tr>
     <tr>
-      <th id="T_c2425_level0_row4" class="row_heading level0 row4" >64870</th>
-      <td id="T_c2425_row4_col0" class="data row4 col0" >2022</td>
-      <td id="T_c2425_row4_col1" class="data row4 col1" >PANTS</td>
-      <td id="T_c2425_row4_col2" class="data row4 col2" >e5562fe8</td>
-      <td id="T_c2425_row4_col3" class="data row4 col3" >29.16kgCO2e</td>
-      <td id="T_c2425_row4_col4" class="data row4 col4" >576</td>
+      <th id="T_84c82_level0_row4" class="row_heading level0 row4" >49045</th>
+      <td id="T_84c82_row4_col0" class="data row4 col0" >2022</td>
+      <td id="T_84c82_row4_col1" class="data row4 col1" >PANTS</td>
+      <td id="T_84c82_row4_col2" class="data row4 col2" >a1cf7d5c</td>
+      <td id="T_84c82_row4_col3" class="data row4 col3" >35.67kgCO2e</td>
+      <td id="T_84c82_row4_col4" class="data row4 col4" >925</td>
     </tr>
   </tbody>
 </table>
@@ -613,12 +613,12 @@ <h1 id="fashion-brand-co2e-emissions">Fashion brand CO2e emissions 👟<a class=
 </span></code></pre></div>
 <style type="text/css">
 </style>
-<table id="T_03f18">
+<table id="T_b088c">
   <thead>
     <tr>
       <th class="blank level0" >&nbsp;</th>
-      <th id="T_03f18_level0_col0" class="col_heading level0 col0" >average</th>
-      <th id="T_03f18_level0_col1" class="col_heading level0 col1" >diff</th>
+      <th id="T_b088c_level0_col0" class="col_heading level0 col0" >average</th>
+      <th id="T_b088c_level0_col1" class="col_heading level0 col1" >diff</th>
     </tr>
     <tr>
       <th class="index_name level0" >year</th>
@@ -628,19 +628,19 @@ <h1 id="fashion-brand-co2e-emissions">Fashion brand CO2e emissions 👟<a class=
   </thead>
   <tbody>
     <tr>
-      <th id="T_03f18_level0_row0" class="row_heading level0 row0" >2021</th>
-      <td id="T_03f18_row0_col0" class="data row0 col0" >21.95kgCO2e</td>
-      <td id="T_03f18_row0_col1" class="data row0 col1" ></td>
+      <th id="T_b088c_level0_row0" class="row_heading level0 row0" >2021</th>
+      <td id="T_b088c_row0_col0" class="data row0 col0" >21.95kgCO2e</td>
+      <td id="T_b088c_row0_col1" class="data row0 col1" ></td>
     </tr>
     <tr>
-      <th id="T_03f18_level0_row1" class="row_heading level0 row1" >2022</th>
-      <td id="T_03f18_row1_col0" class="data row1 col0" >21.71kgCO2e</td>
-      <td id="T_03f18_row1_col1" class="data row1 col1" >-0.24kgCO2e</td>
+      <th id="T_b088c_level0_row1" class="row_heading level0 row1" >2022</th>
+      <td id="T_b088c_row1_col0" class="data row1 col0" >21.71kgCO2e</td>
+      <td id="T_b088c_row1_col1" class="data row1 col1" >-0.24kgCO2e</td>
     </tr>
     <tr>
-      <th id="T_03f18_level0_row2" class="row_heading level0 row2" >2023</th>
-      <td id="T_03f18_row2_col0" class="data row2 col0" >22.74kgCO2e</td>
-      <td id="T_03f18_row2_col1" class="data row2 col1" >1.03kgCO2e</td>
+      <th id="T_b088c_level0_row2" class="row_heading level0 row2" >2023</th>
+      <td id="T_b088c_row2_col0" class="data row2 col0" >22.74kgCO2e</td>
+      <td id="T_b088c_row2_col1" class="data row2 col1" >1.03kgCO2e</td>
     </tr>
   </tbody>
 </table>
@@ -664,13 +664,13 @@ <h1 id="fashion-brand-co2e-emissions">Fashion brand CO2e emissions 👟<a class=
 </span></code></pre></div>
 <style type="text/css">
 </style>
-<table id="T_3f3dd">
+<table id="T_450d3">
   <thead>
     <tr>
       <th class="blank" >&nbsp;</th>
       <th class="blank level0" >&nbsp;</th>
-      <th id="T_3f3dd_level0_col0" class="col_heading level0 col0" >inner</th>
-      <th id="T_3f3dd_level0_col1" class="col_heading level0 col1" >mix</th>
+      <th id="T_450d3_level0_col0" class="col_heading level0 col0" >inner</th>
+      <th id="T_450d3_level0_col1" class="col_heading level0 col1" >mix</th>
     </tr>
     <tr>
       <th class="index_name level0" >year</th>
@@ -681,66 +681,66 @@ <h1 id="fashion-brand-co2e-emissions">Fashion brand CO2e emissions 👟<a class=
   </thead>
   <tbody>
     <tr>
-      <th id="T_3f3dd_level0_row0" class="row_heading level0 row0" rowspan="6">2022</th>
-      <th id="T_3f3dd_level1_row0" class="row_heading level1 row0" >DRESS</th>
-      <td id="T_3f3dd_row0_col0" class="data row0 col0" >0.05kgCO2e</td>
-      <td id="T_3f3dd_row0_col1" class="data row0 col1" >-0.14kgCO2e</td>
+      <th id="T_450d3_level0_row0" class="row_heading level0 row0" rowspan="6">2022</th>
+      <th id="T_450d3_level1_row0" class="row_heading level1 row0" >DRESS</th>
+      <td id="T_450d3_row0_col0" class="data row0 col0" >0.05kgCO2e</td>
+      <td id="T_450d3_row0_col1" class="data row0 col1" >-0.14kgCO2e</td>
     </tr>
     <tr>
-      <th id="T_3f3dd_level1_row1" class="row_heading level1 row1" >JACKET</th>
-      <td id="T_3f3dd_row1_col0" class="data row1 col0" >-0.17kgCO2e</td>
-      <td id="T_3f3dd_row1_col1" class="data row1 col1" >-0.69kgCO2e</td>
+      <th id="T_450d3_level1_row1" class="row_heading level1 row1" >JACKET</th>
+      <td id="T_450d3_row1_col0" class="data row1 col0" >-0.17kgCO2e</td>
+      <td id="T_450d3_row1_col1" class="data row1 col1" >-0.69kgCO2e</td>
     </tr>
     <tr>
-      <th id="T_3f3dd_level1_row2" class="row_heading level1 row2" >PANTS</th>
-      <td id="T_3f3dd_row2_col0" class="data row2 col0" >0.61kgCO2e</td>
-      <td id="T_3f3dd_row2_col1" class="data row2 col1" >0.20kgCO2e</td>
+      <th id="T_450d3_level1_row2" class="row_heading level1 row2" >PANTS</th>
+      <td id="T_450d3_row2_col0" class="data row2 col0" >0.61kgCO2e</td>
+      <td id="T_450d3_row2_col1" class="data row2 col1" >0.20kgCO2e</td>
     </tr>
     <tr>
-      <th id="T_3f3dd_level1_row3" class="row_heading level1 row3" >SHIRT</th>
-      <td id="T_3f3dd_row3_col0" class="data row3 col0" >-0.02kgCO2e</td>
-      <td id="T_3f3dd_row3_col1" class="data row3 col1" >0.00kgCO2e</td>
+      <th id="T_450d3_level1_row3" class="row_heading level1 row3" >SHIRT</th>
+      <td id="T_450d3_row3_col0" class="data row3 col0" >-0.02kgCO2e</td>
+      <td id="T_450d3_row3_col1" class="data row3 col1" >0.00kgCO2e</td>
     </tr>
     <tr>
-      <th id="T_3f3dd_level1_row4" class="row_heading level1 row4" >SWEATER</th>
-      <td id="T_3f3dd_row4_col0" class="data row4 col0" >-0.39kgCO2e</td>
-      <td id="T_3f3dd_row4_col1" class="data row4 col1" >-0.09kgCO2e</td>
+      <th id="T_450d3_level1_row4" class="row_heading level1 row4" >SWEATER</th>
+      <td id="T_450d3_row4_col0" class="data row4 col0" >-0.39kgCO2e</td>
+      <td id="T_450d3_row4_col1" class="data row4 col1" >-0.09kgCO2e</td>
     </tr>
     <tr>
-      <th id="T_3f3dd_level1_row5" class="row_heading level1 row5" >TSHIRT</th>
-      <td id="T_3f3dd_row5_col0" class="data row5 col0" >0.08kgCO2e</td>
-      <td id="T_3f3dd_row5_col1" class="data row5 col1" >0.30kgCO2e</td>
+      <th id="T_450d3_level1_row5" class="row_heading level1 row5" >TSHIRT</th>
+      <td id="T_450d3_row5_col0" class="data row5 col0" >0.08kgCO2e</td>
+      <td id="T_450d3_row5_col1" class="data row5 col1" >0.30kgCO2e</td>
     </tr>
     <tr>
-      <th id="T_3f3dd_level0_row6" class="row_heading level0 row6" rowspan="6">2023</th>
-      <th id="T_3f3dd_level1_row6" class="row_heading level1 row6" >DRESS</th>
-      <td id="T_3f3dd_row6_col0" class="data row6 col0" >-0.08kgCO2e</td>
-      <td id="T_3f3dd_row6_col1" class="data row6 col1" >0.51kgCO2e</td>
+      <th id="T_450d3_level0_row6" class="row_heading level0 row6" rowspan="6">2023</th>
+      <th id="T_450d3_level1_row6" class="row_heading level1 row6" >DRESS</th>
+      <td id="T_450d3_row6_col0" class="data row6 col0" >-0.08kgCO2e</td>
+      <td id="T_450d3_row6_col1" class="data row6 col1" >0.51kgCO2e</td>
     </tr>
     <tr>
-      <th id="T_3f3dd_level1_row7" class="row_heading level1 row7" >JACKET</th>
-      <td id="T_3f3dd_row7_col0" class="data row7 col0" >-0.13kgCO2e</td>
-      <td id="T_3f3dd_row7_col1" class="data row7 col1" >0.97kgCO2e</td>
+      <th id="T_450d3_level1_row7" class="row_heading level1 row7" >JACKET</th>
+      <td id="T_450d3_row7_col0" class="data row7 col0" >-0.13kgCO2e</td>
+      <td id="T_450d3_row7_col1" class="data row7 col1" >0.97kgCO2e</td>
     </tr>
     <tr>
-      <th id="T_3f3dd_level1_row8" class="row_heading level1 row8" >PANTS</th>
-      <td id="T_3f3dd_row8_col0" class="data row8 col0" >-0.22kgCO2e</td>
-      <td id="T_3f3dd_row8_col1" class="data row8 col1" >-0.09kgCO2e</td>
+      <th id="T_450d3_level1_row8" class="row_heading level1 row8" >PANTS</th>
+      <td id="T_450d3_row8_col0" class="data row8 col0" >-0.22kgCO2e</td>
+      <td id="T_450d3_row8_col1" class="data row8 col1" >-0.09kgCO2e</td>
     </tr>
     <tr>
-      <th id="T_3f3dd_level1_row9" class="row_heading level1 row9" >SHIRT</th>
-      <td id="T_3f3dd_row9_col0" class="data row9 col0" >0.02kgCO2e</td>
-      <td id="T_3f3dd_row9_col1" class="data row9 col1" >-0.03kgCO2e</td>
+      <th id="T_450d3_level1_row9" class="row_heading level1 row9" >SHIRT</th>
+      <td id="T_450d3_row9_col0" class="data row9 col0" >0.02kgCO2e</td>
+      <td id="T_450d3_row9_col1" class="data row9 col1" >-0.03kgCO2e</td>
     </tr>
     <tr>
-      <th id="T_3f3dd_level1_row10" class="row_heading level1 row10" >SWEATER</th>
-      <td id="T_3f3dd_row10_col0" class="data row10 col0" >-0.06kgCO2e</td>
-      <td id="T_3f3dd_row10_col1" class="data row10 col1" >0.36kgCO2e</td>
+      <th id="T_450d3_level1_row10" class="row_heading level1 row10" >SWEATER</th>
+      <td id="T_450d3_row10_col0" class="data row10 col0" >-0.06kgCO2e</td>
+      <td id="T_450d3_row10_col1" class="data row10 col1" >0.36kgCO2e</td>
     </tr>
     <tr>
-      <th id="T_3f3dd_level1_row11" class="row_heading level1 row11" >TSHIRT</th>
-      <td id="T_3f3dd_row11_col0" class="data row11 col0" >-0.16kgCO2e</td>
-      <td id="T_3f3dd_row11_col1" class="data row11 col1" >-0.06kgCO2e</td>
+      <th id="T_450d3_level1_row11" class="row_heading level1 row11" >TSHIRT</th>
+      <td id="T_450d3_row11_col0" class="data row11 col0" >-0.16kgCO2e</td>
+      <td id="T_450d3_row11_col1" class="data row11 col1" >-0.06kgCO2e</td>
     </tr>
   </tbody>
 </table>
@@ -754,23 +754,23 @@ <h1 id="fashion-brand-co2e-emissions">Fashion brand CO2e emissions 👟<a class=
 <div class="language-python highlight"><pre><span></span><code><span id="__span-3-1"><a id="__codelineno-3-1" name="__codelineno-3-1" href="#__codelineno-3-1"></a><span class="n">explainer</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">products</span><span class="p">)</span>
 </span></code></pre></div>
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@@ -816,7 +816,7 @@ <h1 id="fashion-brand-co2e-emissions">Fashion brand CO2e emissions 👟<a class=
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23.57188030889562, "label": "2023 \u2022 SHIRT \u2022 mix", "is_positive": false}, {"year": 2023, "category": "TSHIRT", "impact": -0.05598069939020174, "kind": "mix", "end": 23.481598815562908, "start": 23.53757951495311, "label": "2023 \u2022 TSHIRT \u2022 mix", "is_positive": false}, {"year": 2023, "category": "SWEATER", "impact": -0.06285171538046565, "kind": "inner", "end": 23.418747100182443, "start": 23.481598815562908, "label": "2023 \u2022 SWEATER \u2022 inner", "is_positive": false}, {"year": 2023, "category": "DRESS", "impact": -0.08155163940547772, "kind": "inner", "end": 23.337195460776964, "start": 23.418747100182443, "label": "2023 \u2022 DRESS \u2022 inner", "is_positive": false}, {"year": 2023, "category": "PANTS", "impact": -0.08823155008199736, "kind": "mix", "end": 23.248963910694968, "start": 23.337195460776964, "label": "2023 \u2022 PANTS \u2022 mix", "is_positive": false}, {"year": 2023, "category": "JACKET", "impact": -0.12907195009877084, "kind": "inner", "end": 23.119891960596195, "start": 23.248963910694968, "label": "2023 \u2022 JACKET \u2022 inner", "is_positive": false}, {"year": 2023, "category": "TSHIRT", "impact": -0.16246975189864427, "kind": "inner", "end": 22.95742220869755, "start": 23.119891960596195, "label": "2023 \u2022 TSHIRT \u2022 inner", "is_positive": false}, {"year": 2023, "category": "PANTS", "impact": -0.21876005026772086, "kind": "inner", "end": 22.738662158429833, "start": 22.95742220869755, "label": "2023 \u2022 PANTS \u2022 inner", "is_positive": false}], "data-f28063f888fbd67e94d16ee44839474a": [{"label": [2023], "total": 22.738662158429833}]}}, {"mode": "vega-lite"});
 </script>
 
 <p>This is better than reporting the average footprint and unit produced separately. It's more informative to quantify their contribution to the change in emissions. Here it's good to confirm that the decrease in emissions is mostly due to a reduction in the number of units produced for both years. But it's also good to see that there was an increase due to the average footprint in 2023. Importantly, each one of these effects is calculated, and not just assumed.</p>
diff --git a/examples/ibis.ipynb b/examples/ibis.ipynb
index 0c56da7..89b1a87 100644
--- a/examples/ibis.ipynb
+++ b/examples/ibis.ipynb
@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Different backend support with Ibis 🐦"
+    "# Different backend support with Ibis 🪽"
    ]
   },
   {
@@ -19,10 +19,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-25T08:40:17.697850Z",
-     "iopub.status.busy": "2024-09-25T08:40:17.697492Z",
-     "iopub.status.idle": "2024-09-25T08:40:18.283974Z",
-     "shell.execute_reply": "2024-09-25T08:40:18.283643Z"
+     "iopub.execute_input": "2024-09-25T18:17:09.953693Z",
+     "iopub.status.busy": "2024-09-25T18:17:09.953258Z",
+     "iopub.status.idle": "2024-09-25T18:17:10.426438Z",
+     "shell.execute_reply": "2024-09-25T18:17:10.426171Z"
     }
    },
    "outputs": [
@@ -67,10 +67,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-25T08:40:18.285677Z",
-     "iopub.status.busy": "2024-09-25T08:40:18.285576Z",
-     "iopub.status.idle": "2024-09-25T08:40:18.302537Z",
-     "shell.execute_reply": "2024-09-25T08:40:18.302247Z"
+     "iopub.execute_input": "2024-09-25T18:17:10.427787Z",
+     "iopub.status.busy": "2024-09-25T18:17:10.427672Z",
+     "iopub.status.idle": "2024-09-25T18:17:10.442879Z",
+     "shell.execute_reply": "2024-09-25T18:17:10.442634Z"
     }
    },
    "outputs": [
@@ -95,10 +95,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-25T08:40:18.303900Z",
-     "iopub.status.busy": "2024-09-25T08:40:18.303802Z",
-     "iopub.status.idle": "2024-09-25T08:40:18.320391Z",
-     "shell.execute_reply": "2024-09-25T08:40:18.320127Z"
+     "iopub.execute_input": "2024-09-25T18:17:10.444029Z",
+     "iopub.status.busy": "2024-09-25T18:17:10.443927Z",
+     "iopub.status.idle": "2024-09-25T18:17:10.459534Z",
+     "shell.execute_reply": "2024-09-25T18:17:10.459262Z"
     }
    },
    "outputs": [
@@ -148,10 +148,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-25T08:40:18.321693Z",
-     "iopub.status.busy": "2024-09-25T08:40:18.321596Z",
-     "iopub.status.idle": "2024-09-25T08:40:18.436592Z",
-     "shell.execute_reply": "2024-09-25T08:40:18.436269Z"
+     "iopub.execute_input": "2024-09-25T18:17:10.460956Z",
+     "iopub.status.busy": "2024-09-25T18:17:10.460848Z",
+     "iopub.status.idle": "2024-09-25T18:17:10.570482Z",
+     "shell.execute_reply": "2024-09-25T18:17:10.570200Z"
     }
    },
    "outputs": [
@@ -218,10 +218,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-25T08:40:18.438032Z",
-     "iopub.status.busy": "2024-09-25T08:40:18.437923Z",
-     "iopub.status.idle": "2024-09-25T08:40:18.447657Z",
-     "shell.execute_reply": "2024-09-25T08:40:18.447396Z"
+     "iopub.execute_input": "2024-09-25T18:17:10.571729Z",
+     "iopub.status.busy": "2024-09-25T18:17:10.571626Z",
+     "iopub.status.idle": "2024-09-25T18:17:10.580820Z",
+     "shell.execute_reply": "2024-09-25T18:17:10.580616Z"
     }
    },
    "outputs": [
@@ -245,143 +245,118 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-25T08:40:18.448884Z",
-     "iopub.status.busy": "2024-09-25T08:40:18.448793Z",
-     "iopub.status.idle": "2024-09-25T08:40:18.477238Z",
-     "shell.execute_reply": "2024-09-25T08:40:18.476975Z"
+     "iopub.execute_input": "2024-09-25T18:17:10.582057Z",
+     "iopub.status.busy": "2024-09-25T18:17:10.581973Z",
+     "iopub.status.idle": "2024-09-25T18:17:10.632387Z",
+     "shell.execute_reply": "2024-09-25T18:17:10.632131Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
+       "<style type=\"text/css\">\n",
        "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
+       "<table id=\"T_5f07f\">\n",
        "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>year</th>\n",
-       "      <th>category</th>\n",
-       "      <th>inner</th>\n",
-       "      <th>mix</th>\n",
+       "    <tr>\n",
+       "      <th class=\"blank level0\" >&nbsp;</th>\n",
+       "      <th id=\"T_5f07f_level0_col0\" class=\"col_heading level0 col0\" >year</th>\n",
+       "      <th id=\"T_5f07f_level0_col1\" class=\"col_heading level0 col1\" >category</th>\n",
+       "      <th id=\"T_5f07f_level0_col2\" class=\"col_heading level0 col2\" >inner</th>\n",
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        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2022</td>\n",
-       "      <td>DRESS</td>\n",
-       "      <td>3.931932e+06</td>\n",
-       "      <td>-1.881370e+07</td>\n",
+       "      <th id=\"T_5f07f_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
+       "      <td id=\"T_5f07f_row0_col0\" class=\"data row0 col0\" >2022</td>\n",
+       "      <td id=\"T_5f07f_row0_col1\" class=\"data row0 col1\" >DRESS</td>\n",
+       "      <td id=\"T_5f07f_row0_col2\" class=\"data row0 col2\" >3931932.447552</td>\n",
+       "      <td id=\"T_5f07f_row0_col3\" class=\"data row0 col3\" >-18813695.617552</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2022</td>\n",
-       "      <td>JACKET</td>\n",
-       "      <td>-1.510008e+07</td>\n",
-       "      <td>-9.238617e+07</td>\n",
+       "      <th id=\"T_5f07f_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
+       "      <td id=\"T_5f07f_row1_col0\" class=\"data row1 col0\" >2022</td>\n",
+       "      <td id=\"T_5f07f_row1_col1\" class=\"data row1 col1\" >JACKET</td>\n",
+       "      <td id=\"T_5f07f_row1_col2\" class=\"data row1 col2\" >-15100081.026506</td>\n",
+       "      <td id=\"T_5f07f_row1_col3\" class=\"data row1 col3\" >-92386166.203493</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2022</td>\n",
-       "      <td>PANTS</td>\n",
-       "      <td>4.002506e+07</td>\n",
-       "      <td>5.295190e+07</td>\n",
+       "      <th id=\"T_5f07f_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
+       "      <td id=\"T_5f07f_row2_col0\" class=\"data row2 col0\" >2022</td>\n",
+       "      <td id=\"T_5f07f_row2_col1\" class=\"data row2 col1\" >PANTS</td>\n",
+       "      <td id=\"T_5f07f_row2_col2\" class=\"data row2 col2\" >40025058.515251</td>\n",
+       "      <td id=\"T_5f07f_row2_col3\" class=\"data row2 col3\" >52951900.074743</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2022</td>\n",
-       "      <td>SHIRT</td>\n",
-       "      <td>-1.484809e+06</td>\n",
-       "      <td>-5.791456e+06</td>\n",
+       "      <th id=\"T_5f07f_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
+       "      <td id=\"T_5f07f_row3_col0\" class=\"data row3 col0\" >2022</td>\n",
+       "      <td id=\"T_5f07f_row3_col1\" class=\"data row3 col1\" >SHIRT</td>\n",
+       "      <td id=\"T_5f07f_row3_col2\" class=\"data row3 col2\" >-1484809.008950</td>\n",
+       "      <td id=\"T_5f07f_row3_col3\" class=\"data row3 col3\" >-5791455.871050</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2022</td>\n",
-       "      <td>SWEATER</td>\n",
-       "      <td>-2.676209e+07</td>\n",
-       "      <td>1.181504e+07</td>\n",
+       "      <th id=\"T_5f07f_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
+       "      <td id=\"T_5f07f_row4_col0\" class=\"data row4 col0\" >2022</td>\n",
+       "      <td id=\"T_5f07f_row4_col1\" class=\"data row4 col1\" >SWEATER</td>\n",
+       "      <td id=\"T_5f07f_row4_col2\" class=\"data row4 col2\" >-26762091.196715</td>\n",
+       "      <td id=\"T_5f07f_row4_col3\" class=\"data row4 col3\" >11815043.806715</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>2022</td>\n",
-       "      <td>TSHIRT</td>\n",
-       "      <td>6.650940e+06</td>\n",
-       "      <td>-2.311836e+07</td>\n",
+       "      <th id=\"T_5f07f_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
+       "      <td id=\"T_5f07f_row5_col0\" class=\"data row5 col0\" >2022</td>\n",
+       "      <td id=\"T_5f07f_row5_col1\" class=\"data row5 col1\" >TSHIRT</td>\n",
+       "      <td id=\"T_5f07f_row5_col2\" class=\"data row5 col2\" >6650940.137541</td>\n",
+       "      <td id=\"T_5f07f_row5_col3\" class=\"data row5 col3\" >-23118359.127541</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>2023</td>\n",
-       "      <td>DRESS</td>\n",
-       "      <td>-4.078094e+06</td>\n",
-       "      <td>-1.240339e+07</td>\n",
+       "      <th id=\"T_5f07f_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
+       "      <td id=\"T_5f07f_row6_col0\" class=\"data row6 col0\" >2023</td>\n",
+       "      <td id=\"T_5f07f_row6_col1\" class=\"data row6 col1\" >DRESS</td>\n",
+       "      <td id=\"T_5f07f_row6_col2\" class=\"data row6 col2\" >-4078094.357618</td>\n",
+       "      <td id=\"T_5f07f_row6_col3\" class=\"data row6 col3\" >-12403387.412381</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>2023</td>\n",
-       "      <td>JACKET</td>\n",
-       "      <td>-6.793317e+06</td>\n",
-       "      <td>-4.924036e+07</td>\n",
+       "      <th id=\"T_5f07f_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
+       "      <td id=\"T_5f07f_row7_col0\" class=\"data row7 col0\" >2023</td>\n",
+       "      <td id=\"T_5f07f_row7_col1\" class=\"data row7 col1\" >JACKET</td>\n",
+       "      <td id=\"T_5f07f_row7_col2\" class=\"data row7 col2\" >-6793316.568952</td>\n",
+       "      <td id=\"T_5f07f_row7_col3\" class=\"data row7 col3\" >-49240364.221049</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>2023</td>\n",
-       "      <td>PANTS</td>\n",
-       "      <td>-1.636299e+07</td>\n",
-       "      <td>-2.295608e+08</td>\n",
+       "      <th id=\"T_5f07f_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
+       "      <td id=\"T_5f07f_row8_col0\" class=\"data row8 col0\" >2023</td>\n",
+       "      <td id=\"T_5f07f_row8_col1\" class=\"data row8 col1\" >PANTS</td>\n",
+       "      <td id=\"T_5f07f_row8_col2\" class=\"data row8 col2\" >-16362993.150075</td>\n",
+       "      <td id=\"T_5f07f_row8_col3\" class=\"data row8 col3\" >-229560842.809919</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>2023</td>\n",
-       "      <td>SHIRT</td>\n",
-       "      <td>8.920908e+05</td>\n",
-       "      <td>-4.019144e+06</td>\n",
+       "      <th id=\"T_5f07f_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
+       "      <td id=\"T_5f07f_row9_col0\" class=\"data row9 col0\" >2023</td>\n",
+       "      <td id=\"T_5f07f_row9_col1\" class=\"data row9 col1\" >SHIRT</td>\n",
+       "      <td id=\"T_5f07f_row9_col2\" class=\"data row9 col2\" >892090.812023</td>\n",
+       "      <td id=\"T_5f07f_row9_col3\" class=\"data row9 col3\" >-4019143.772023</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>2023</td>\n",
-       "      <td>SWEATER</td>\n",
-       "      <td>-5.701391e+06</td>\n",
-       "      <td>-1.130507e+08</td>\n",
+       "      <th id=\"T_5f07f_level0_row10\" class=\"row_heading level0 row10\" >10</th>\n",
+       "      <td id=\"T_5f07f_row10_col0\" class=\"data row10 col0\" >2023</td>\n",
+       "      <td id=\"T_5f07f_row10_col1\" class=\"data row10 col1\" >SWEATER</td>\n",
+       "      <td id=\"T_5f07f_row10_col2\" class=\"data row10 col2\" >-5701391.450394</td>\n",
+       "      <td id=\"T_5f07f_row10_col3\" class=\"data row10 col3\" >-113050731.029606</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>2023</td>\n",
-       "      <td>TSHIRT</td>\n",
-       "      <td>-1.150391e+07</td>\n",
-       "      <td>-8.391323e+07</td>\n",
+       "      <th id=\"T_5f07f_level0_row11\" class=\"row_heading level0 row11\" >11</th>\n",
+       "      <td id=\"T_5f07f_row11_col0\" class=\"data row11 col0\" >2023</td>\n",
+       "      <td id=\"T_5f07f_row11_col1\" class=\"data row11 col1\" >TSHIRT</td>\n",
+       "      <td id=\"T_5f07f_row11_col2\" class=\"data row11 col2\" >-11503906.840478</td>\n",
+       "      <td id=\"T_5f07f_row11_col3\" class=\"data row11 col3\" >-83913226.849522</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
-       "</table>\n",
-       "</div>"
+       "</table>\n"
       ],
       "text/plain": [
-       "    year category         inner           mix\n",
-       "0   2022    DRESS  3.931932e+06 -1.881370e+07\n",
-       "1   2022   JACKET -1.510008e+07 -9.238617e+07\n",
-       "2   2022    PANTS  4.002506e+07  5.295190e+07\n",
-       "3   2022    SHIRT -1.484809e+06 -5.791456e+06\n",
-       "4   2022  SWEATER -2.676209e+07  1.181504e+07\n",
-       "5   2022   TSHIRT  6.650940e+06 -2.311836e+07\n",
-       "6   2023    DRESS -4.078094e+06 -1.240339e+07\n",
-       "7   2023   JACKET -6.793317e+06 -4.924036e+07\n",
-       "8   2023    PANTS -1.636299e+07 -2.295608e+08\n",
-       "9   2023    SHIRT  8.920908e+05 -4.019144e+06\n",
-       "10  2023  SWEATER -5.701391e+06 -1.130507e+08\n",
-       "11  2023   TSHIRT -1.150391e+07 -8.391323e+07"
+       "<pandas.io.formats.style.Styler at 0x11f0ab950>"
       ]
      },
      "execution_count": 6,
@@ -390,7 +365,7 @@
     }
    ],
    "source": [
-    "explanation.execute()"
+    "explanation.execute().style.format()"
    ]
   },
   {
@@ -398,10 +373,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-25T08:40:18.478434Z",
-     "iopub.status.busy": "2024-09-25T08:40:18.478337Z",
-     "iopub.status.idle": "2024-09-25T08:40:18.510327Z",
-     "shell.execute_reply": "2024-09-25T08:40:18.510055Z"
+     "iopub.execute_input": "2024-09-25T18:17:10.633866Z",
+     "iopub.status.busy": "2024-09-25T18:17:10.633689Z",
+     "iopub.status.idle": "2024-09-25T18:17:10.666507Z",
+     "shell.execute_reply": "2024-09-25T18:17:10.666257Z"
     }
    },
    "outputs": [
diff --git a/examples/ibis/index.html b/examples/ibis/index.html
index 74b58f2..775a4a9 100644
--- a/examples/ibis/index.html
+++ b/examples/ibis/index.html
@@ -18,7 +18,7 @@
     
     
       
-        <title>Different backend support with Ibis 🐦 - icanexplain</title>
+        <title>Different backend support with Ibis 🪽 - icanexplain</title>
       
     
     
@@ -102,7 +102,7 @@
         <div class="md-header__topic" data-md-component="header-topic">
           <span class="md-ellipsis">
             
-              Different backend support with Ibis 🐦
+              Different backend support with Ibis 🪽
             
           </span>
         </div>
@@ -474,7 +474,7 @@
         
   
   <span class="md-ellipsis">
-    Different backend support with Ibis 🐦
+    Different backend support with Ibis 🪽
   </span>
   
 
@@ -528,7 +528,7 @@
   
 
 
-<h1 id="different-backend-support-with-ibis">Different backend support with Ibis 🐦<a class="headerlink" href="#different-backend-support-with-ibis">&para;</a></h1>
+<h1 id="different-backend-support-with-ibis">Different backend support with Ibis 🪽<a class="headerlink" href="#different-backend-support-with-ibis">&para;</a></h1>
 <p>icanexplain is implemented with <a href="https://github.com/ibis-project/ibis">Ibis</a>. This means that it is framework agnostic, and can work with different backends. This example shows how to use it with <a href="https://duckdb.org/">DuckDB</a>.</p>
 <div class="language-python highlight"><pre><span></span><code><span id="__span-0-1"><a id="__codelineno-0-1" name="__codelineno-0-1" href="#__codelineno-0-1"></a><span class="kn">import</span> <span class="nn">ibis</span>
 </span><span id="__span-0-2"><a id="__codelineno-0-2" name="__codelineno-0-2" href="#__codelineno-0-2"></a><span class="kn">import</span> <span class="nn">icanexplain</span> <span class="k">as</span> <span class="nn">ice</span>
@@ -601,120 +601,107 @@ <h1 id="different-backend-support-with-ibis">Different backend support with Ibis
 </span></code></pre></div>
 <div class="language-text highlight"><pre><span></span><code>ibis.expr.types.relations.Table
 </code></pre></div>
-<div class="language-python highlight"><pre><span></span><code><span id="__span-5-1"><a id="__codelineno-5-1" name="__codelineno-5-1" href="#__codelineno-5-1"></a><span class="n">explanation</span><span class="o">.</span><span class="n">execute</span><span class="p">()</span>
+<div class="language-python highlight"><pre><span></span><code><span id="__span-5-1"><a id="__codelineno-5-1" name="__codelineno-5-1" href="#__codelineno-5-1"></a><span class="n">explanation</span><span class="o">.</span><span class="n">execute</span><span class="p">()</span><span class="o">.</span><span class="n">style</span><span class="o">.</span><span class="n">format</span><span class="p">()</span>
 </span></code></pre></div>
-<div>
-<style scoped>
-    .dataframe tbody tr th:only-of-type {
-        vertical-align: middle;
-    }
-
-    .dataframe tbody tr th {
-        vertical-align: top;
-    }
-
-    .dataframe thead th {
-        text-align: right;
-    }
+<style type="text/css">
 </style>
-<table border="1" class="dataframe">
+<table id="T_5f07f">
   <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>year</th>
-      <th>category</th>
-      <th>inner</th>
-      <th>mix</th>
+    <tr>
+      <th class="blank level0" >&nbsp;</th>
+      <th id="T_5f07f_level0_col0" class="col_heading level0 col0" >year</th>
+      <th id="T_5f07f_level0_col1" class="col_heading level0 col1" >category</th>
+      <th id="T_5f07f_level0_col2" class="col_heading level0 col2" >inner</th>
+      <th id="T_5f07f_level0_col3" class="col_heading level0 col3" >mix</th>
     </tr>
   </thead>
   <tbody>
     <tr>
-      <th>0</th>
-      <td>2022</td>
-      <td>DRESS</td>
-      <td>3.931932e+06</td>
-      <td>-1.881370e+07</td>
+      <th id="T_5f07f_level0_row0" class="row_heading level0 row0" >0</th>
+      <td id="T_5f07f_row0_col0" class="data row0 col0" >2022</td>
+      <td id="T_5f07f_row0_col1" class="data row0 col1" >DRESS</td>
+      <td id="T_5f07f_row0_col2" class="data row0 col2" >3931932.447552</td>
+      <td id="T_5f07f_row0_col3" class="data row0 col3" >-18813695.617552</td>
     </tr>
     <tr>
-      <th>1</th>
-      <td>2022</td>
-      <td>JACKET</td>
-      <td>-1.510008e+07</td>
-      <td>-9.238617e+07</td>
+      <th id="T_5f07f_level0_row1" class="row_heading level0 row1" >1</th>
+      <td id="T_5f07f_row1_col0" class="data row1 col0" >2022</td>
+      <td id="T_5f07f_row1_col1" class="data row1 col1" >JACKET</td>
+      <td id="T_5f07f_row1_col2" class="data row1 col2" >-15100081.026506</td>
+      <td id="T_5f07f_row1_col3" class="data row1 col3" >-92386166.203493</td>
     </tr>
     <tr>
-      <th>2</th>
-      <td>2022</td>
-      <td>PANTS</td>
-      <td>4.002506e+07</td>
-      <td>5.295190e+07</td>
+      <th id="T_5f07f_level0_row2" class="row_heading level0 row2" >2</th>
+      <td id="T_5f07f_row2_col0" class="data row2 col0" >2022</td>
+      <td id="T_5f07f_row2_col1" class="data row2 col1" >PANTS</td>
+      <td id="T_5f07f_row2_col2" class="data row2 col2" >40025058.515251</td>
+      <td id="T_5f07f_row2_col3" class="data row2 col3" >52951900.074743</td>
     </tr>
     <tr>
-      <th>3</th>
-      <td>2022</td>
-      <td>SHIRT</td>
-      <td>-1.484809e+06</td>
-      <td>-5.791456e+06</td>
+      <th id="T_5f07f_level0_row3" class="row_heading level0 row3" >3</th>
+      <td id="T_5f07f_row3_col0" class="data row3 col0" >2022</td>
+      <td id="T_5f07f_row3_col1" class="data row3 col1" >SHIRT</td>
+      <td id="T_5f07f_row3_col2" class="data row3 col2" >-1484809.008950</td>
+      <td id="T_5f07f_row3_col3" class="data row3 col3" >-5791455.871050</td>
     </tr>
     <tr>
-      <th>4</th>
-      <td>2022</td>
-      <td>SWEATER</td>
-      <td>-2.676209e+07</td>
-      <td>1.181504e+07</td>
+      <th id="T_5f07f_level0_row4" class="row_heading level0 row4" >4</th>
+      <td id="T_5f07f_row4_col0" class="data row4 col0" >2022</td>
+      <td id="T_5f07f_row4_col1" class="data row4 col1" >SWEATER</td>
+      <td id="T_5f07f_row4_col2" class="data row4 col2" >-26762091.196715</td>
+      <td id="T_5f07f_row4_col3" class="data row4 col3" >11815043.806715</td>
     </tr>
     <tr>
-      <th>5</th>
-      <td>2022</td>
-      <td>TSHIRT</td>
-      <td>6.650940e+06</td>
-      <td>-2.311836e+07</td>
+      <th id="T_5f07f_level0_row5" class="row_heading level0 row5" >5</th>
+      <td id="T_5f07f_row5_col0" class="data row5 col0" >2022</td>
+      <td id="T_5f07f_row5_col1" class="data row5 col1" >TSHIRT</td>
+      <td id="T_5f07f_row5_col2" class="data row5 col2" >6650940.137541</td>
+      <td id="T_5f07f_row5_col3" class="data row5 col3" >-23118359.127541</td>
     </tr>
     <tr>
-      <th>6</th>
-      <td>2023</td>
-      <td>DRESS</td>
-      <td>-4.078094e+06</td>
-      <td>-1.240339e+07</td>
+      <th id="T_5f07f_level0_row6" class="row_heading level0 row6" >6</th>
+      <td id="T_5f07f_row6_col0" class="data row6 col0" >2023</td>
+      <td id="T_5f07f_row6_col1" class="data row6 col1" >DRESS</td>
+      <td id="T_5f07f_row6_col2" class="data row6 col2" >-4078094.357618</td>
+      <td id="T_5f07f_row6_col3" class="data row6 col3" >-12403387.412381</td>
     </tr>
     <tr>
-      <th>7</th>
-      <td>2023</td>
-      <td>JACKET</td>
-      <td>-6.793317e+06</td>
-      <td>-4.924036e+07</td>
+      <th id="T_5f07f_level0_row7" class="row_heading level0 row7" >7</th>
+      <td id="T_5f07f_row7_col0" class="data row7 col0" >2023</td>
+      <td id="T_5f07f_row7_col1" class="data row7 col1" >JACKET</td>
+      <td id="T_5f07f_row7_col2" class="data row7 col2" >-6793316.568952</td>
+      <td id="T_5f07f_row7_col3" class="data row7 col3" >-49240364.221049</td>
     </tr>
     <tr>
-      <th>8</th>
-      <td>2023</td>
-      <td>PANTS</td>
-      <td>-1.636299e+07</td>
-      <td>-2.295608e+08</td>
+      <th id="T_5f07f_level0_row8" class="row_heading level0 row8" >8</th>
+      <td id="T_5f07f_row8_col0" class="data row8 col0" >2023</td>
+      <td id="T_5f07f_row8_col1" class="data row8 col1" >PANTS</td>
+      <td id="T_5f07f_row8_col2" class="data row8 col2" >-16362993.150075</td>
+      <td id="T_5f07f_row8_col3" class="data row8 col3" >-229560842.809919</td>
     </tr>
     <tr>
-      <th>9</th>
-      <td>2023</td>
-      <td>SHIRT</td>
-      <td>8.920908e+05</td>
-      <td>-4.019144e+06</td>
+      <th id="T_5f07f_level0_row9" class="row_heading level0 row9" >9</th>
+      <td id="T_5f07f_row9_col0" class="data row9 col0" >2023</td>
+      <td id="T_5f07f_row9_col1" class="data row9 col1" >SHIRT</td>
+      <td id="T_5f07f_row9_col2" class="data row9 col2" >892090.812023</td>
+      <td id="T_5f07f_row9_col3" class="data row9 col3" >-4019143.772023</td>
     </tr>
     <tr>
-      <th>10</th>
-      <td>2023</td>
-      <td>SWEATER</td>
-      <td>-5.701391e+06</td>
-      <td>-1.130507e+08</td>
+      <th id="T_5f07f_level0_row10" class="row_heading level0 row10" >10</th>
+      <td id="T_5f07f_row10_col0" class="data row10 col0" >2023</td>
+      <td id="T_5f07f_row10_col1" class="data row10 col1" >SWEATER</td>
+      <td id="T_5f07f_row10_col2" class="data row10 col2" >-5701391.450394</td>
+      <td id="T_5f07f_row10_col3" class="data row10 col3" >-113050731.029606</td>
     </tr>
     <tr>
-      <th>11</th>
-      <td>2023</td>
-      <td>TSHIRT</td>
-      <td>-1.150391e+07</td>
-      <td>-8.391323e+07</td>
+      <th id="T_5f07f_level0_row11" class="row_heading level0 row11" >11</th>
+      <td id="T_5f07f_row11_col0" class="data row11 col0" >2023</td>
+      <td id="T_5f07f_row11_col1" class="data row11 col1" >TSHIRT</td>
+      <td id="T_5f07f_row11_col2" class="data row11 col2" >-11503906.840478</td>
+      <td id="T_5f07f_row11_col3" class="data row11 col3" >-83913226.849522</td>
     </tr>
   </tbody>
 </table>
-</div>
 
 <div class="language-python highlight"><pre><span></span><code><span id="__span-6-1"><a id="__codelineno-6-1" name="__codelineno-6-1" href="#__codelineno-6-1"></a><span class="n">ibis</span><span class="o">.</span><span class="n">to_sql</span><span class="p">(</span><span class="n">explanation</span><span class="p">)</span>
 </span></code></pre></div>
diff --git a/examples/iowa-whiskey-sales.ipynb b/examples/iowa-whiskey-sales.ipynb
index 8cb4ff2..2aa40a6 100644
--- a/examples/iowa-whiskey-sales.ipynb
+++ b/examples/iowa-whiskey-sales.ipynb
@@ -19,10 +19,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-25T08:40:20.192056Z",
-     "iopub.status.busy": "2024-09-25T08:40:20.191922Z",
-     "iopub.status.idle": "2024-09-25T08:40:20.404476Z",
-     "shell.execute_reply": "2024-09-25T08:40:20.404182Z"
+     "iopub.execute_input": "2024-09-25T18:17:12.047320Z",
+     "iopub.status.busy": "2024-09-25T18:17:12.046926Z",
+     "iopub.status.idle": "2024-09-25T18:17:12.246438Z",
+     "shell.execute_reply": "2024-09-25T18:17:12.246181Z"
     }
    },
    "outputs": [
@@ -31,81 +31,81 @@
       "text/html": [
        "<style type=\"text/css\">\n",
        "</style>\n",
-       "<table id=\"T_65390\">\n",
+       "<table id=\"T_e3060\">\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_65390_level0_col0\" class=\"col_heading level0 col0\" >date</th>\n",
-       "      <th id=\"T_65390_level0_col1\" class=\"col_heading level0 col1\" >category</th>\n",
-       "      <th id=\"T_65390_level0_col2\" class=\"col_heading level0 col2\" >vendor</th>\n",
-       "      <th id=\"T_65390_level0_col3\" class=\"col_heading level0 col3\" >sales_amount</th>\n",
-       "      <th id=\"T_65390_level0_col4\" class=\"col_heading level0 col4\" >price_per_bottle</th>\n",
-       "      <th id=\"T_65390_level0_col5\" class=\"col_heading level0 col5\" >bottles_sold</th>\n",
-       "      <th id=\"T_65390_level0_col6\" class=\"col_heading level0 col6\" >bottle_volume_ml</th>\n",
-       "      <th id=\"T_65390_level0_col7\" class=\"col_heading level0 col7\" >year</th>\n",
+       "      <th id=\"T_e3060_level0_col0\" class=\"col_heading level0 col0\" >date</th>\n",
+       "      <th id=\"T_e3060_level0_col1\" class=\"col_heading level0 col1\" >category</th>\n",
+       "      <th id=\"T_e3060_level0_col2\" class=\"col_heading level0 col2\" >vendor</th>\n",
+       "      <th id=\"T_e3060_level0_col3\" class=\"col_heading level0 col3\" >sales_amount</th>\n",
+       "      <th id=\"T_e3060_level0_col4\" class=\"col_heading level0 col4\" >price_per_bottle</th>\n",
+       "      <th id=\"T_e3060_level0_col5\" class=\"col_heading level0 col5\" >bottles_sold</th>\n",
+       "      <th id=\"T_e3060_level0_col6\" class=\"col_heading level0 col6\" >bottle_volume_ml</th>\n",
+       "      <th id=\"T_e3060_level0_col7\" class=\"col_heading level0 col7\" >year</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_65390_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
-       "      <td id=\"T_65390_row0_col0\" class=\"data row0 col0\" >2012-06-04</td>\n",
-       "      <td id=\"T_65390_row0_col1\" class=\"data row0 col1\" >CANADIAN WHISKIES</td>\n",
-       "      <td id=\"T_65390_row0_col2\" class=\"data row0 col2\" >CONSTELLATION WINE COMPANY, INC.</td>\n",
-       "      <td id=\"T_65390_row0_col3\" class=\"data row0 col3\" >94.020000</td>\n",
-       "      <td id=\"T_65390_row0_col4\" class=\"data row0 col4\" >15.670000</td>\n",
-       "      <td id=\"T_65390_row0_col5\" class=\"data row0 col5\" >6</td>\n",
-       "      <td id=\"T_65390_row0_col6\" class=\"data row0 col6\" >1750</td>\n",
-       "      <td id=\"T_65390_row0_col7\" class=\"data row0 col7\" >2012</td>\n",
+       "      <th id=\"T_e3060_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
+       "      <td id=\"T_e3060_row0_col0\" class=\"data row0 col0\" >2012-06-04</td>\n",
+       "      <td id=\"T_e3060_row0_col1\" class=\"data row0 col1\" >CANADIAN WHISKIES</td>\n",
+       "      <td id=\"T_e3060_row0_col2\" class=\"data row0 col2\" >CONSTELLATION WINE COMPANY, INC.</td>\n",
+       "      <td id=\"T_e3060_row0_col3\" class=\"data row0 col3\" >94.020000</td>\n",
+       "      <td id=\"T_e3060_row0_col4\" class=\"data row0 col4\" >15.670000</td>\n",
+       "      <td id=\"T_e3060_row0_col5\" class=\"data row0 col5\" >6</td>\n",
+       "      <td id=\"T_e3060_row0_col6\" class=\"data row0 col6\" >1750</td>\n",
+       "      <td id=\"T_e3060_row0_col7\" class=\"data row0 col7\" >2012</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_65390_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
-       "      <td id=\"T_65390_row1_col0\" class=\"data row1 col0\" >2016-01-05</td>\n",
-       "      <td id=\"T_65390_row1_col1\" class=\"data row1 col1\" >STRAIGHT BOURBON WHISKIES</td>\n",
-       "      <td id=\"T_65390_row1_col2\" class=\"data row1 col2\" >CAMPARI(SKYY)</td>\n",
-       "      <td id=\"T_65390_row1_col3\" class=\"data row1 col3\" >18.760000</td>\n",
-       "      <td id=\"T_65390_row1_col4\" class=\"data row1 col4\" >9.380000</td>\n",
-       "      <td id=\"T_65390_row1_col5\" class=\"data row1 col5\" >2</td>\n",
-       "      <td id=\"T_65390_row1_col6\" class=\"data row1 col6\" >375</td>\n",
-       "      <td id=\"T_65390_row1_col7\" class=\"data row1 col7\" >2016</td>\n",
+       "      <th id=\"T_e3060_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
+       "      <td id=\"T_e3060_row1_col0\" class=\"data row1 col0\" >2016-01-05</td>\n",
+       "      <td id=\"T_e3060_row1_col1\" class=\"data row1 col1\" >STRAIGHT BOURBON WHISKIES</td>\n",
+       "      <td id=\"T_e3060_row1_col2\" class=\"data row1 col2\" >CAMPARI(SKYY)</td>\n",
+       "      <td id=\"T_e3060_row1_col3\" class=\"data row1 col3\" >18.760000</td>\n",
+       "      <td id=\"T_e3060_row1_col4\" class=\"data row1 col4\" >9.380000</td>\n",
+       "      <td id=\"T_e3060_row1_col5\" class=\"data row1 col5\" >2</td>\n",
+       "      <td id=\"T_e3060_row1_col6\" class=\"data row1 col6\" >375</td>\n",
+       "      <td id=\"T_e3060_row1_col7\" class=\"data row1 col7\" >2016</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_65390_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
-       "      <td id=\"T_65390_row2_col0\" class=\"data row2 col0\" >2016-05-25</td>\n",
-       "      <td id=\"T_65390_row2_col1\" class=\"data row2 col1\" >CANADIAN WHISKIES</td>\n",
-       "      <td id=\"T_65390_row2_col2\" class=\"data row2 col2\" >DIAGEO AMERICAS</td>\n",
-       "      <td id=\"T_65390_row2_col3\" class=\"data row2 col3\" >11.030000</td>\n",
-       "      <td id=\"T_65390_row2_col4\" class=\"data row2 col4\" >11.030000</td>\n",
-       "      <td id=\"T_65390_row2_col5\" class=\"data row2 col5\" >1</td>\n",
-       "      <td id=\"T_65390_row2_col6\" class=\"data row2 col6\" >300</td>\n",
-       "      <td id=\"T_65390_row2_col7\" class=\"data row2 col7\" >2016</td>\n",
+       "      <th id=\"T_e3060_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
+       "      <td id=\"T_e3060_row2_col0\" class=\"data row2 col0\" >2016-05-25</td>\n",
+       "      <td id=\"T_e3060_row2_col1\" class=\"data row2 col1\" >CANADIAN WHISKIES</td>\n",
+       "      <td id=\"T_e3060_row2_col2\" class=\"data row2 col2\" >DIAGEO AMERICAS</td>\n",
+       "      <td id=\"T_e3060_row2_col3\" class=\"data row2 col3\" >11.030000</td>\n",
+       "      <td id=\"T_e3060_row2_col4\" class=\"data row2 col4\" >11.030000</td>\n",
+       "      <td id=\"T_e3060_row2_col5\" class=\"data row2 col5\" >1</td>\n",
+       "      <td id=\"T_e3060_row2_col6\" class=\"data row2 col6\" >300</td>\n",
+       "      <td id=\"T_e3060_row2_col7\" class=\"data row2 col7\" >2016</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_65390_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
-       "      <td id=\"T_65390_row3_col0\" class=\"data row3 col0\" >2016-01-20</td>\n",
-       "      <td id=\"T_65390_row3_col1\" class=\"data row3 col1\" >CANADIAN WHISKIES</td>\n",
-       "      <td id=\"T_65390_row3_col2\" class=\"data row3 col2\" >PHILLIPS BEVERAGE COMPANY</td>\n",
-       "      <td id=\"T_65390_row3_col3\" class=\"data row3 col3\" >33.840000</td>\n",
-       "      <td id=\"T_65390_row3_col4\" class=\"data row3 col4\" >11.280000</td>\n",
-       "      <td id=\"T_65390_row3_col5\" class=\"data row3 col5\" >3</td>\n",
-       "      <td id=\"T_65390_row3_col6\" class=\"data row3 col6\" >750</td>\n",
-       "      <td id=\"T_65390_row3_col7\" class=\"data row3 col7\" >2016</td>\n",
+       "      <th id=\"T_e3060_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
+       "      <td id=\"T_e3060_row3_col0\" class=\"data row3 col0\" >2016-01-20</td>\n",
+       "      <td id=\"T_e3060_row3_col1\" class=\"data row3 col1\" >CANADIAN WHISKIES</td>\n",
+       "      <td id=\"T_e3060_row3_col2\" class=\"data row3 col2\" >PHILLIPS BEVERAGE COMPANY</td>\n",
+       "      <td id=\"T_e3060_row3_col3\" class=\"data row3 col3\" >33.840000</td>\n",
+       "      <td id=\"T_e3060_row3_col4\" class=\"data row3 col4\" >11.280000</td>\n",
+       "      <td id=\"T_e3060_row3_col5\" class=\"data row3 col5\" >3</td>\n",
+       "      <td id=\"T_e3060_row3_col6\" class=\"data row3 col6\" >750</td>\n",
+       "      <td id=\"T_e3060_row3_col7\" class=\"data row3 col7\" >2016</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_65390_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
-       "      <td id=\"T_65390_row4_col0\" class=\"data row4 col0\" >2012-03-19</td>\n",
-       "      <td id=\"T_65390_row4_col1\" class=\"data row4 col1\" >CANADIAN WHISKIES</td>\n",
-       "      <td id=\"T_65390_row4_col2\" class=\"data row4 col2\" >CONSTELLATION WINE COMPANY, INC.</td>\n",
-       "      <td id=\"T_65390_row4_col3\" class=\"data row4 col3\" >94.020000</td>\n",
-       "      <td id=\"T_65390_row4_col4\" class=\"data row4 col4\" >15.670000</td>\n",
-       "      <td id=\"T_65390_row4_col5\" class=\"data row4 col5\" >6</td>\n",
-       "      <td id=\"T_65390_row4_col6\" class=\"data row4 col6\" >1750</td>\n",
-       "      <td id=\"T_65390_row4_col7\" class=\"data row4 col7\" >2012</td>\n",
+       "      <th id=\"T_e3060_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
+       "      <td id=\"T_e3060_row4_col0\" class=\"data row4 col0\" >2012-03-19</td>\n",
+       "      <td id=\"T_e3060_row4_col1\" class=\"data row4 col1\" >CANADIAN WHISKIES</td>\n",
+       "      <td id=\"T_e3060_row4_col2\" class=\"data row4 col2\" >CONSTELLATION WINE COMPANY, INC.</td>\n",
+       "      <td id=\"T_e3060_row4_col3\" class=\"data row4 col3\" >94.020000</td>\n",
+       "      <td id=\"T_e3060_row4_col4\" class=\"data row4 col4\" >15.670000</td>\n",
+       "      <td id=\"T_e3060_row4_col5\" class=\"data row4 col5\" >6</td>\n",
+       "      <td id=\"T_e3060_row4_col6\" class=\"data row4 col6\" >1750</td>\n",
+       "      <td id=\"T_e3060_row4_col7\" class=\"data row4 col7\" >2012</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x121366d90>"
+       "<pandas.io.formats.style.Styler at 0x10bc80990>"
       ]
      },
      "execution_count": 1,
@@ -132,10 +132,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-25T08:40:20.406107Z",
-     "iopub.status.busy": "2024-09-25T08:40:20.405990Z",
-     "iopub.status.idle": "2024-09-25T08:40:20.420649Z",
-     "shell.execute_reply": "2024-09-25T08:40:20.420373Z"
+     "iopub.execute_input": "2024-09-25T18:17:12.247872Z",
+     "iopub.status.busy": "2024-09-25T18:17:12.247766Z",
+     "iopub.status.idle": "2024-09-25T18:17:12.267108Z",
+     "shell.execute_reply": "2024-09-25T18:17:12.266828Z"
     }
    },
    "outputs": [
@@ -144,12 +144,12 @@
       "text/html": [
        "<style type=\"text/css\">\n",
        "</style>\n",
-       "<table id=\"T_a7fe0\">\n",
+       "<table id=\"T_a6c55\">\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_a7fe0_level0_col0\" class=\"col_heading level0 col0\" >sales_amount</th>\n",
-       "      <th id=\"T_a7fe0_level0_col1\" class=\"col_heading level0 col1\" >diff</th>\n",
+       "      <th id=\"T_a6c55_level0_col0\" class=\"col_heading level0 col0\" >sales_amount</th>\n",
+       "      <th id=\"T_a6c55_level0_col1\" class=\"col_heading level0 col1\" >diff</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th class=\"index_name level0\" >year</th>\n",
@@ -159,25 +159,25 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_a7fe0_level0_row0\" class=\"row_heading level0 row0\" >2012</th>\n",
-       "      <td id=\"T_a7fe0_row0_col0\" class=\"data row0 col0\" >$1,842,098.86</td>\n",
-       "      <td id=\"T_a7fe0_row0_col1\" class=\"data row0 col1\" ></td>\n",
+       "      <th id=\"T_a6c55_level0_row0\" class=\"row_heading level0 row0\" >2012</th>\n",
+       "      <td id=\"T_a6c55_row0_col0\" class=\"data row0 col0\" >$1,842,098.86</td>\n",
+       "      <td id=\"T_a6c55_row0_col1\" class=\"data row0 col1\" ></td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a7fe0_level0_row1\" class=\"row_heading level0 row1\" >2016</th>\n",
-       "      <td id=\"T_a7fe0_row1_col0\" class=\"data row1 col0\" >$2,298,505.88</td>\n",
-       "      <td id=\"T_a7fe0_row1_col1\" class=\"data row1 col1\" >$456,407.02</td>\n",
+       "      <th id=\"T_a6c55_level0_row1\" class=\"row_heading level0 row1\" >2016</th>\n",
+       "      <td id=\"T_a6c55_row1_col0\" class=\"data row1 col0\" >$2,298,505.88</td>\n",
+       "      <td id=\"T_a6c55_row1_col1\" class=\"data row1 col1\" >$456,407.02</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a7fe0_level0_row2\" class=\"row_heading level0 row2\" >2020</th>\n",
-       "      <td id=\"T_a7fe0_row2_col0\" class=\"data row2 col0\" >$3,378,164.43</td>\n",
-       "      <td id=\"T_a7fe0_row2_col1\" class=\"data row2 col1\" >$1,079,658.55</td>\n",
+       "      <th id=\"T_a6c55_level0_row2\" class=\"row_heading level0 row2\" >2020</th>\n",
+       "      <td id=\"T_a6c55_row2_col0\" class=\"data row2 col0\" >$3,378,164.43</td>\n",
+       "      <td id=\"T_a6c55_row2_col1\" class=\"data row2 col1\" >$1,079,658.55</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x1203262d0>"
+       "<pandas.io.formats.style.Styler at 0x11926f5d0>"
       ]
      },
      "execution_count": 2,
@@ -216,10 +216,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-25T08:40:20.422041Z",
-     "iopub.status.busy": "2024-09-25T08:40:20.421955Z",
-     "iopub.status.idle": "2024-09-25T08:40:20.610846Z",
-     "shell.execute_reply": "2024-09-25T08:40:20.610586Z"
+     "iopub.execute_input": "2024-09-25T18:17:12.268369Z",
+     "iopub.status.busy": "2024-09-25T18:17:12.268266Z",
+     "iopub.status.idle": "2024-09-25T18:17:12.458516Z",
+     "shell.execute_reply": "2024-09-25T18:17:12.458245Z"
     }
    },
    "outputs": [
@@ -227,17 +227,17 @@
      "data": {
       "text/html": [
        "<style type=\"text/css\">\n",
-       "#T_61d4a_row0_col0, #T_61d4a_row0_col1, #T_61d4a_row1_col0, #T_61d4a_row1_col1, #T_61d4a_row2_col0, #T_61d4a_row2_col1, #T_61d4a_row3_col0, #T_61d4a_row3_col1, #T_61d4a_row4_col0, #T_61d4a_row4_col1, #T_61d4a_row5_col0, #T_61d4a_row5_col1, #T_61d4a_row6_col0, #T_61d4a_row6_col1, #T_61d4a_row7_col0, #T_61d4a_row7_col1, #T_61d4a_row8_col0, #T_61d4a_row8_col1, #T_61d4a_row9_col0, #T_61d4a_row9_col1, #T_61d4a_row10_col0, #T_61d4a_row10_col1, #T_61d4a_row11_col0, #T_61d4a_row11_col1, #T_61d4a_row12_col0, #T_61d4a_row12_col1, #T_61d4a_row13_col0, #T_61d4a_row13_col1, #T_61d4a_row14_col0, #T_61d4a_row14_col1, #T_61d4a_row15_col0, #T_61d4a_row15_col1 {\n",
+       "#T_7a52a_row0_col0, #T_7a52a_row0_col1, #T_7a52a_row1_col0, #T_7a52a_row1_col1, #T_7a52a_row2_col0, #T_7a52a_row2_col1, #T_7a52a_row3_col0, #T_7a52a_row3_col1, #T_7a52a_row4_col0, #T_7a52a_row4_col1, #T_7a52a_row5_col0, #T_7a52a_row5_col1, #T_7a52a_row6_col0, #T_7a52a_row6_col1, #T_7a52a_row7_col0, #T_7a52a_row7_col1, #T_7a52a_row8_col0, #T_7a52a_row8_col1, #T_7a52a_row9_col0, #T_7a52a_row9_col1, #T_7a52a_row10_col0, #T_7a52a_row10_col1, #T_7a52a_row11_col0, #T_7a52a_row11_col1, #T_7a52a_row12_col0, #T_7a52a_row12_col1, #T_7a52a_row13_col0, #T_7a52a_row13_col1, #T_7a52a_row14_col0, #T_7a52a_row14_col1, #T_7a52a_row15_col0, #T_7a52a_row15_col1 {\n",
        "  text-align: right;\n",
        "}\n",
        "</style>\n",
-       "<table id=\"T_61d4a\">\n",
+       "<table id=\"T_7a52a\">\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th class=\"blank\" >&nbsp;</th>\n",
        "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_61d4a_level0_col0\" class=\"col_heading level0 col0\" >inner</th>\n",
-       "      <th id=\"T_61d4a_level0_col1\" class=\"col_heading level0 col1\" >mix</th>\n",
+       "      <th id=\"T_7a52a_level0_col0\" class=\"col_heading level0 col0\" >inner</th>\n",
+       "      <th id=\"T_7a52a_level0_col1\" class=\"col_heading level0 col1\" >mix</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th class=\"index_name level0\" >year</th>\n",
@@ -248,92 +248,92 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_61d4a_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"8\">2016</th>\n",
-       "      <th id=\"T_61d4a_level1_row0\" class=\"row_heading level1 row0\" >BLENDED WHISKIES</th>\n",
-       "      <td id=\"T_61d4a_row0_col0\" class=\"data row0 col0\" >$17,854.43</td>\n",
-       "      <td id=\"T_61d4a_row0_col1\" class=\"data row0 col1\" >$7,356.77</td>\n",
+       "      <th id=\"T_7a52a_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"8\">2016</th>\n",
+       "      <th id=\"T_7a52a_level1_row0\" class=\"row_heading level1 row0\" >BLENDED WHISKIES</th>\n",
+       "      <td id=\"T_7a52a_row0_col0\" class=\"data row0 col0\" >$17,854.43</td>\n",
+       "      <td id=\"T_7a52a_row0_col1\" class=\"data row0 col1\" >$7,356.77</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_61d4a_level1_row1\" class=\"row_heading level1 row1\" >CANADIAN WHISKIES</th>\n",
-       "      <td id=\"T_61d4a_row1_col0\" class=\"data row1 col0\" >$0</td>\n",
-       "      <td id=\"T_61d4a_row1_col1\" class=\"data row1 col1\" >$225,902.66</td>\n",
+       "      <th id=\"T_7a52a_level1_row1\" class=\"row_heading level1 row1\" >CANADIAN WHISKIES</th>\n",
+       "      <td id=\"T_7a52a_row1_col0\" class=\"data row1 col0\" >$0</td>\n",
+       "      <td id=\"T_7a52a_row1_col1\" class=\"data row1 col1\" >$225,902.66</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_61d4a_level1_row2\" class=\"row_heading level1 row2\" >CORN WHISKIES</th>\n",
-       "      <td id=\"T_61d4a_row2_col0\" class=\"data row2 col0\" >$0</td>\n",
-       "      <td id=\"T_61d4a_row2_col1\" class=\"data row2 col1\" >$4,113.90</td>\n",
+       "      <th id=\"T_7a52a_level1_row2\" class=\"row_heading level1 row2\" >CORN WHISKIES</th>\n",
+       "      <td id=\"T_7a52a_row2_col0\" class=\"data row2 col0\" >$0</td>\n",
+       "      <td id=\"T_7a52a_row2_col1\" class=\"data row2 col1\" >$4,113.90</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_61d4a_level1_row3\" class=\"row_heading level1 row3\" >IRISH WHISKIES</th>\n",
-       "      <td id=\"T_61d4a_row3_col0\" class=\"data row3 col0\" >$22,144.48</td>\n",
-       "      <td id=\"T_61d4a_row3_col1\" class=\"data row3 col1\" >$75,122.83</td>\n",
+       "      <th id=\"T_7a52a_level1_row3\" class=\"row_heading level1 row3\" >IRISH WHISKIES</th>\n",
+       "      <td id=\"T_7a52a_row3_col0\" class=\"data row3 col0\" >$22,144.48</td>\n",
+       "      <td id=\"T_7a52a_row3_col1\" class=\"data row3 col1\" >$75,122.83</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_61d4a_level1_row4\" class=\"row_heading level1 row4\" >SCOTCH WHISKIES</th>\n",
-       "      <td id=\"T_61d4a_row4_col0\" class=\"data row4 col0\" >$19,591.97</td>\n",
-       "      <td id=\"T_61d4a_row4_col1\" class=\"data row4 col1\" >$0</td>\n",
+       "      <th id=\"T_7a52a_level1_row4\" class=\"row_heading level1 row4\" >SCOTCH WHISKIES</th>\n",
+       "      <td id=\"T_7a52a_row4_col0\" class=\"data row4 col0\" >$19,591.97</td>\n",
+       "      <td id=\"T_7a52a_row4_col1\" class=\"data row4 col1\" >$0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_61d4a_level1_row5\" class=\"row_heading level1 row5\" >SINGLE BARREL BOURBON WHISKIES</th>\n",
-       "      <td id=\"T_61d4a_row5_col0\" class=\"data row5 col0\" >$1,852.03</td>\n",
-       "      <td id=\"T_61d4a_row5_col1\" class=\"data row5 col1\" >$6,375.43</td>\n",
+       "      <th id=\"T_7a52a_level1_row5\" class=\"row_heading level1 row5\" >SINGLE BARREL BOURBON WHISKIES</th>\n",
+       "      <td id=\"T_7a52a_row5_col0\" class=\"data row5 col0\" >$1,852.03</td>\n",
+       "      <td id=\"T_7a52a_row5_col1\" class=\"data row5 col1\" >$6,375.43</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_61d4a_level1_row6\" class=\"row_heading level1 row6\" >STRAIGHT BOURBON WHISKIES</th>\n",
-       "      <td id=\"T_61d4a_row6_col0\" class=\"data row6 col0\" >$107,144.93</td>\n",
-       "      <td id=\"T_61d4a_row6_col1\" class=\"data row6 col1\" >$97,934.50</td>\n",
+       "      <th id=\"T_7a52a_level1_row6\" class=\"row_heading level1 row6\" >STRAIGHT BOURBON WHISKIES</th>\n",
+       "      <td id=\"T_7a52a_row6_col0\" class=\"data row6 col0\" >$107,144.93</td>\n",
+       "      <td id=\"T_7a52a_row6_col1\" class=\"data row6 col1\" >$97,934.50</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_61d4a_level1_row7\" class=\"row_heading level1 row7\" >STRAIGHT RYE WHISKIES</th>\n",
-       "      <td id=\"T_61d4a_row7_col0\" class=\"data row7 col0\" >$0</td>\n",
-       "      <td id=\"T_61d4a_row7_col1\" class=\"data row7 col1\" >$0</td>\n",
+       "      <th id=\"T_7a52a_level1_row7\" class=\"row_heading level1 row7\" >STRAIGHT RYE WHISKIES</th>\n",
+       "      <td id=\"T_7a52a_row7_col0\" class=\"data row7 col0\" >$0</td>\n",
+       "      <td id=\"T_7a52a_row7_col1\" class=\"data row7 col1\" >$0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_61d4a_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"8\">2020</th>\n",
-       "      <th id=\"T_61d4a_level1_row8\" class=\"row_heading level1 row8\" >BLENDED WHISKIES</th>\n",
-       "      <td id=\"T_61d4a_row8_col0\" class=\"data row8 col0\" >$83,342.60</td>\n",
-       "      <td id=\"T_61d4a_row8_col1\" class=\"data row8 col1\" >$59,768.58</td>\n",
+       "      <th id=\"T_7a52a_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"8\">2020</th>\n",
+       "      <th id=\"T_7a52a_level1_row8\" class=\"row_heading level1 row8\" >BLENDED WHISKIES</th>\n",
+       "      <td id=\"T_7a52a_row8_col0\" class=\"data row8 col0\" >$83,342.60</td>\n",
+       "      <td id=\"T_7a52a_row8_col1\" class=\"data row8 col1\" >$59,768.58</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_61d4a_level1_row9\" class=\"row_heading level1 row9\" >CANADIAN WHISKIES</th>\n",
-       "      <td id=\"T_61d4a_row9_col0\" class=\"data row9 col0\" >$224,022.62</td>\n",
-       "      <td id=\"T_61d4a_row9_col1\" class=\"data row9 col1\" >$149,363.35</td>\n",
+       "      <th id=\"T_7a52a_level1_row9\" class=\"row_heading level1 row9\" >CANADIAN WHISKIES</th>\n",
+       "      <td id=\"T_7a52a_row9_col0\" class=\"data row9 col0\" >$224,022.62</td>\n",
+       "      <td id=\"T_7a52a_row9_col1\" class=\"data row9 col1\" >$149,363.35</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_61d4a_level1_row10\" class=\"row_heading level1 row10\" >CORN WHISKIES</th>\n",
-       "      <td id=\"T_61d4a_row10_col0\" class=\"data row10 col0\" >$1,517.48</td>\n",
-       "      <td id=\"T_61d4a_row10_col1\" class=\"data row10 col1\" >$1,453.26</td>\n",
+       "      <th id=\"T_7a52a_level1_row10\" class=\"row_heading level1 row10\" >CORN WHISKIES</th>\n",
+       "      <td id=\"T_7a52a_row10_col0\" class=\"data row10 col0\" >$1,517.48</td>\n",
+       "      <td id=\"T_7a52a_row10_col1\" class=\"data row10 col1\" >$1,453.26</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_61d4a_level1_row11\" class=\"row_heading level1 row11\" >IRISH WHISKIES</th>\n",
-       "      <td id=\"T_61d4a_row11_col0\" class=\"data row11 col0\" >$0</td>\n",
-       "      <td id=\"T_61d4a_row11_col1\" class=\"data row11 col1\" >$67,344.41</td>\n",
+       "      <th id=\"T_7a52a_level1_row11\" class=\"row_heading level1 row11\" >IRISH WHISKIES</th>\n",
+       "      <td id=\"T_7a52a_row11_col0\" class=\"data row11 col0\" >$0</td>\n",
+       "      <td id=\"T_7a52a_row11_col1\" class=\"data row11 col1\" >$67,344.41</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_61d4a_level1_row12\" class=\"row_heading level1 row12\" >SCOTCH WHISKIES</th>\n",
-       "      <td id=\"T_61d4a_row12_col0\" class=\"data row12 col0\" >$19,840.48</td>\n",
-       "      <td id=\"T_61d4a_row12_col1\" class=\"data row12 col1\" >$0</td>\n",
+       "      <th id=\"T_7a52a_level1_row12\" class=\"row_heading level1 row12\" >SCOTCH WHISKIES</th>\n",
+       "      <td id=\"T_7a52a_row12_col0\" class=\"data row12 col0\" >$19,840.48</td>\n",
+       "      <td id=\"T_7a52a_row12_col1\" class=\"data row12 col1\" >$0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_61d4a_level1_row13\" class=\"row_heading level1 row13\" >SINGLE BARREL BOURBON WHISKIES</th>\n",
-       "      <td id=\"T_61d4a_row13_col0\" class=\"data row13 col0\" >$11,958.32</td>\n",
-       "      <td id=\"T_61d4a_row13_col1\" class=\"data row13 col1\" >$3,819.27</td>\n",
+       "      <th id=\"T_7a52a_level1_row13\" class=\"row_heading level1 row13\" >SINGLE BARREL BOURBON WHISKIES</th>\n",
+       "      <td id=\"T_7a52a_row13_col0\" class=\"data row13 col0\" >$11,958.32</td>\n",
+       "      <td id=\"T_7a52a_row13_col1\" class=\"data row13 col1\" >$3,819.27</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_61d4a_level1_row14\" class=\"row_heading level1 row14\" >STRAIGHT BOURBON WHISKIES</th>\n",
-       "      <td id=\"T_61d4a_row14_col0\" class=\"data row14 col0\" >$167,864.46</td>\n",
-       "      <td id=\"T_61d4a_row14_col1\" class=\"data row14 col1\" >$268,064.74</td>\n",
+       "      <th id=\"T_7a52a_level1_row14\" class=\"row_heading level1 row14\" >STRAIGHT BOURBON WHISKIES</th>\n",
+       "      <td id=\"T_7a52a_row14_col0\" class=\"data row14 col0\" >$167,864.46</td>\n",
+       "      <td id=\"T_7a52a_row14_col1\" class=\"data row14 col1\" >$268,064.74</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_61d4a_level1_row15\" class=\"row_heading level1 row15\" >STRAIGHT RYE WHISKIES</th>\n",
-       "      <td id=\"T_61d4a_row15_col0\" class=\"data row15 col0\" >$0</td>\n",
-       "      <td id=\"T_61d4a_row15_col1\" class=\"data row15 col1\" >$64,056.43</td>\n",
+       "      <th id=\"T_7a52a_level1_row15\" class=\"row_heading level1 row15\" >STRAIGHT RYE WHISKIES</th>\n",
+       "      <td id=\"T_7a52a_row15_col0\" class=\"data row15 col0\" >$0</td>\n",
+       "      <td id=\"T_7a52a_row15_col1\" class=\"data row15 col1\" >$64,056.43</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x121553ed0>"
+       "<pandas.io.formats.style.Styler at 0x10f8d1450>"
       ]
      },
      "execution_count": 3,
@@ -378,10 +378,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-25T08:40:20.615379Z",
-     "iopub.status.busy": "2024-09-25T08:40:20.615204Z",
-     "iopub.status.idle": "2024-09-25T08:40:20.901358Z",
-     "shell.execute_reply": "2024-09-25T08:40:20.901095Z"
+     "iopub.execute_input": "2024-09-25T18:17:12.459975Z",
+     "iopub.status.busy": "2024-09-25T18:17:12.459870Z",
+     "iopub.status.idle": "2024-09-25T18:17:12.644977Z",
+     "shell.execute_reply": "2024-09-25T18:17:12.644671Z"
     }
    },
    "outputs": [
@@ -390,23 +390,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-87b425397ea04a6daa6efed068755f45.vega-embed {\n",
+       "  #altair-viz-16d58d9ba180408baf2590b60a2d786e.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-87b425397ea04a6daa6efed068755f45.vega-embed details,\n",
-       "  #altair-viz-87b425397ea04a6daa6efed068755f45.vega-embed details summary {\n",
+       "  #altair-viz-16d58d9ba180408baf2590b60a2d786e.vega-embed details,\n",
+       "  #altair-viz-16d58d9ba180408baf2590b60a2d786e.vega-embed details summary {\n",
        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-87b425397ea04a6daa6efed068755f45\"></div>\n",
+       "<div id=\"altair-viz-16d58d9ba180408baf2590b60a2d786e\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-87b425397ea04a6daa6efed068755f45\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-87b425397ea04a6daa6efed068755f45\");\n",
+       "    if (outputDiv.id !== \"altair-viz-16d58d9ba180408baf2590b60a2d786e\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-16d58d9ba180408baf2590b60a2d786e\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -452,7 +452,7 @@
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        "        .then(() => displayChart(vegaEmbed));\n",
        "    }\n",
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diff --git a/examples/iowa-whiskey-sales/index.html b/examples/iowa-whiskey-sales/index.html
index 54d75fc..cd198a8 100644
--- a/examples/iowa-whiskey-sales/index.html
+++ b/examples/iowa-whiskey-sales/index.html
@@ -477,7 +477,7 @@
         
   
   <span class="md-ellipsis">
-    Different backend support with Ibis 🐦
+    Different backend support with Ibis 🪽
   </span>
   
 
@@ -539,75 +539,75 @@ <h1 id="iowa-whiskey-sales">Iowa whiskey sales 🥃<a class="headerlink" href="#
 </span></code></pre></div>
 <style type="text/css">
 </style>
-<table id="T_65390">
+<table id="T_e3060">
   <thead>
     <tr>
       <th class="blank level0" >&nbsp;</th>
-      <th id="T_65390_level0_col0" class="col_heading level0 col0" >date</th>
-      <th id="T_65390_level0_col1" class="col_heading level0 col1" >category</th>
-      <th id="T_65390_level0_col2" class="col_heading level0 col2" >vendor</th>
-      <th id="T_65390_level0_col3" class="col_heading level0 col3" >sales_amount</th>
-      <th id="T_65390_level0_col4" class="col_heading level0 col4" >price_per_bottle</th>
-      <th id="T_65390_level0_col5" class="col_heading level0 col5" >bottles_sold</th>
-      <th id="T_65390_level0_col6" class="col_heading level0 col6" >bottle_volume_ml</th>
-      <th id="T_65390_level0_col7" class="col_heading level0 col7" >year</th>
+      <th id="T_e3060_level0_col0" class="col_heading level0 col0" >date</th>
+      <th id="T_e3060_level0_col1" class="col_heading level0 col1" >category</th>
+      <th id="T_e3060_level0_col2" class="col_heading level0 col2" >vendor</th>
+      <th id="T_e3060_level0_col3" class="col_heading level0 col3" >sales_amount</th>
+      <th id="T_e3060_level0_col4" class="col_heading level0 col4" >price_per_bottle</th>
+      <th id="T_e3060_level0_col5" class="col_heading level0 col5" >bottles_sold</th>
+      <th id="T_e3060_level0_col6" class="col_heading level0 col6" >bottle_volume_ml</th>
+      <th id="T_e3060_level0_col7" class="col_heading level0 col7" >year</th>
     </tr>
   </thead>
   <tbody>
     <tr>
-      <th id="T_65390_level0_row0" class="row_heading level0 row0" >0</th>
-      <td id="T_65390_row0_col0" class="data row0 col0" >2012-06-04</td>
-      <td id="T_65390_row0_col1" class="data row0 col1" >CANADIAN WHISKIES</td>
-      <td id="T_65390_row0_col2" class="data row0 col2" >CONSTELLATION WINE COMPANY, INC.</td>
-      <td id="T_65390_row0_col3" class="data row0 col3" >94.020000</td>
-      <td id="T_65390_row0_col4" class="data row0 col4" >15.670000</td>
-      <td id="T_65390_row0_col5" class="data row0 col5" >6</td>
-      <td id="T_65390_row0_col6" class="data row0 col6" >1750</td>
-      <td id="T_65390_row0_col7" class="data row0 col7" >2012</td>
+      <th id="T_e3060_level0_row0" class="row_heading level0 row0" >0</th>
+      <td id="T_e3060_row0_col0" class="data row0 col0" >2012-06-04</td>
+      <td id="T_e3060_row0_col1" class="data row0 col1" >CANADIAN WHISKIES</td>
+      <td id="T_e3060_row0_col2" class="data row0 col2" >CONSTELLATION WINE COMPANY, INC.</td>
+      <td id="T_e3060_row0_col3" class="data row0 col3" >94.020000</td>
+      <td id="T_e3060_row0_col4" class="data row0 col4" >15.670000</td>
+      <td id="T_e3060_row0_col5" class="data row0 col5" >6</td>
+      <td id="T_e3060_row0_col6" class="data row0 col6" >1750</td>
+      <td id="T_e3060_row0_col7" class="data row0 col7" >2012</td>
     </tr>
     <tr>
-      <th id="T_65390_level0_row1" class="row_heading level0 row1" >1</th>
-      <td id="T_65390_row1_col0" class="data row1 col0" >2016-01-05</td>
-      <td id="T_65390_row1_col1" class="data row1 col1" >STRAIGHT BOURBON WHISKIES</td>
-      <td id="T_65390_row1_col2" class="data row1 col2" >CAMPARI(SKYY)</td>
-      <td id="T_65390_row1_col3" class="data row1 col3" >18.760000</td>
-      <td id="T_65390_row1_col4" class="data row1 col4" >9.380000</td>
-      <td id="T_65390_row1_col5" class="data row1 col5" >2</td>
-      <td id="T_65390_row1_col6" class="data row1 col6" >375</td>
-      <td id="T_65390_row1_col7" class="data row1 col7" >2016</td>
+      <th id="T_e3060_level0_row1" class="row_heading level0 row1" >1</th>
+      <td id="T_e3060_row1_col0" class="data row1 col0" >2016-01-05</td>
+      <td id="T_e3060_row1_col1" class="data row1 col1" >STRAIGHT BOURBON WHISKIES</td>
+      <td id="T_e3060_row1_col2" class="data row1 col2" >CAMPARI(SKYY)</td>
+      <td id="T_e3060_row1_col3" class="data row1 col3" >18.760000</td>
+      <td id="T_e3060_row1_col4" class="data row1 col4" >9.380000</td>
+      <td id="T_e3060_row1_col5" class="data row1 col5" >2</td>
+      <td id="T_e3060_row1_col6" class="data row1 col6" >375</td>
+      <td id="T_e3060_row1_col7" class="data row1 col7" >2016</td>
     </tr>
     <tr>
-      <th id="T_65390_level0_row2" class="row_heading level0 row2" >2</th>
-      <td id="T_65390_row2_col0" class="data row2 col0" >2016-05-25</td>
-      <td id="T_65390_row2_col1" class="data row2 col1" >CANADIAN WHISKIES</td>
-      <td id="T_65390_row2_col2" class="data row2 col2" >DIAGEO AMERICAS</td>
-      <td id="T_65390_row2_col3" class="data row2 col3" >11.030000</td>
-      <td id="T_65390_row2_col4" class="data row2 col4" >11.030000</td>
-      <td id="T_65390_row2_col5" class="data row2 col5" >1</td>
-      <td id="T_65390_row2_col6" class="data row2 col6" >300</td>
-      <td id="T_65390_row2_col7" class="data row2 col7" >2016</td>
+      <th id="T_e3060_level0_row2" class="row_heading level0 row2" >2</th>
+      <td id="T_e3060_row2_col0" class="data row2 col0" >2016-05-25</td>
+      <td id="T_e3060_row2_col1" class="data row2 col1" >CANADIAN WHISKIES</td>
+      <td id="T_e3060_row2_col2" class="data row2 col2" >DIAGEO AMERICAS</td>
+      <td id="T_e3060_row2_col3" class="data row2 col3" >11.030000</td>
+      <td id="T_e3060_row2_col4" class="data row2 col4" >11.030000</td>
+      <td id="T_e3060_row2_col5" class="data row2 col5" >1</td>
+      <td id="T_e3060_row2_col6" class="data row2 col6" >300</td>
+      <td id="T_e3060_row2_col7" class="data row2 col7" >2016</td>
     </tr>
     <tr>
-      <th id="T_65390_level0_row3" class="row_heading level0 row3" >3</th>
-      <td id="T_65390_row3_col0" class="data row3 col0" >2016-01-20</td>
-      <td id="T_65390_row3_col1" class="data row3 col1" >CANADIAN WHISKIES</td>
-      <td id="T_65390_row3_col2" class="data row3 col2" >PHILLIPS BEVERAGE COMPANY</td>
-      <td id="T_65390_row3_col3" class="data row3 col3" >33.840000</td>
-      <td id="T_65390_row3_col4" class="data row3 col4" >11.280000</td>
-      <td id="T_65390_row3_col5" class="data row3 col5" >3</td>
-      <td id="T_65390_row3_col6" class="data row3 col6" >750</td>
-      <td id="T_65390_row3_col7" class="data row3 col7" >2016</td>
+      <th id="T_e3060_level0_row3" class="row_heading level0 row3" >3</th>
+      <td id="T_e3060_row3_col0" class="data row3 col0" >2016-01-20</td>
+      <td id="T_e3060_row3_col1" class="data row3 col1" >CANADIAN WHISKIES</td>
+      <td id="T_e3060_row3_col2" class="data row3 col2" >PHILLIPS BEVERAGE COMPANY</td>
+      <td id="T_e3060_row3_col3" class="data row3 col3" >33.840000</td>
+      <td id="T_e3060_row3_col4" class="data row3 col4" >11.280000</td>
+      <td id="T_e3060_row3_col5" class="data row3 col5" >3</td>
+      <td id="T_e3060_row3_col6" class="data row3 col6" >750</td>
+      <td id="T_e3060_row3_col7" class="data row3 col7" >2016</td>
     </tr>
     <tr>
-      <th id="T_65390_level0_row4" class="row_heading level0 row4" >4</th>
-      <td id="T_65390_row4_col0" class="data row4 col0" >2012-03-19</td>
-      <td id="T_65390_row4_col1" class="data row4 col1" >CANADIAN WHISKIES</td>
-      <td id="T_65390_row4_col2" class="data row4 col2" >CONSTELLATION WINE COMPANY, INC.</td>
-      <td id="T_65390_row4_col3" class="data row4 col3" >94.020000</td>
-      <td id="T_65390_row4_col4" class="data row4 col4" >15.670000</td>
-      <td id="T_65390_row4_col5" class="data row4 col5" >6</td>
-      <td id="T_65390_row4_col6" class="data row4 col6" >1750</td>
-      <td id="T_65390_row4_col7" class="data row4 col7" >2012</td>
+      <th id="T_e3060_level0_row4" class="row_heading level0 row4" >4</th>
+      <td id="T_e3060_row4_col0" class="data row4 col0" >2012-03-19</td>
+      <td id="T_e3060_row4_col1" class="data row4 col1" >CANADIAN WHISKIES</td>
+      <td id="T_e3060_row4_col2" class="data row4 col2" >CONSTELLATION WINE COMPANY, INC.</td>
+      <td id="T_e3060_row4_col3" class="data row4 col3" >94.020000</td>
+      <td id="T_e3060_row4_col4" class="data row4 col4" >15.670000</td>
+      <td id="T_e3060_row4_col5" class="data row4 col5" >6</td>
+      <td id="T_e3060_row4_col6" class="data row4 col6" >1750</td>
+      <td id="T_e3060_row4_col7" class="data row4 col7" >2012</td>
     </tr>
   </tbody>
 </table>
@@ -629,12 +629,12 @@ <h1 id="iowa-whiskey-sales">Iowa whiskey sales 🥃<a class="headerlink" href="#
 </span></code></pre></div>
 <style type="text/css">
 </style>
-<table id="T_a7fe0">
+<table id="T_a6c55">
   <thead>
     <tr>
       <th class="blank level0" >&nbsp;</th>
-      <th id="T_a7fe0_level0_col0" class="col_heading level0 col0" >sales_amount</th>
-      <th id="T_a7fe0_level0_col1" class="col_heading level0 col1" >diff</th>
+      <th id="T_a6c55_level0_col0" class="col_heading level0 col0" >sales_amount</th>
+      <th id="T_a6c55_level0_col1" class="col_heading level0 col1" >diff</th>
     </tr>
     <tr>
       <th class="index_name level0" >year</th>
@@ -644,19 +644,19 @@ <h1 id="iowa-whiskey-sales">Iowa whiskey sales 🥃<a class="headerlink" href="#
   </thead>
   <tbody>
     <tr>
-      <th id="T_a7fe0_level0_row0" class="row_heading level0 row0" >2012</th>
-      <td id="T_a7fe0_row0_col0" class="data row0 col0" >$1,842,098.86</td>
-      <td id="T_a7fe0_row0_col1" class="data row0 col1" ></td>
+      <th id="T_a6c55_level0_row0" class="row_heading level0 row0" >2012</th>
+      <td id="T_a6c55_row0_col0" class="data row0 col0" >$1,842,098.86</td>
+      <td id="T_a6c55_row0_col1" class="data row0 col1" ></td>
     </tr>
     <tr>
-      <th id="T_a7fe0_level0_row1" class="row_heading level0 row1" >2016</th>
-      <td id="T_a7fe0_row1_col0" class="data row1 col0" >$2,298,505.88</td>
-      <td id="T_a7fe0_row1_col1" class="data row1 col1" >$456,407.02</td>
+      <th id="T_a6c55_level0_row1" class="row_heading level0 row1" >2016</th>
+      <td id="T_a6c55_row1_col0" class="data row1 col0" >$2,298,505.88</td>
+      <td id="T_a6c55_row1_col1" class="data row1 col1" >$456,407.02</td>
     </tr>
     <tr>
-      <th id="T_a7fe0_level0_row2" class="row_heading level0 row2" >2020</th>
-      <td id="T_a7fe0_row2_col0" class="data row2 col0" >$3,378,164.43</td>
-      <td id="T_a7fe0_row2_col1" class="data row2 col1" >$1,079,658.55</td>
+      <th id="T_a6c55_level0_row2" class="row_heading level0 row2" >2020</th>
+      <td id="T_a6c55_row2_col0" class="data row2 col0" >$3,378,164.43</td>
+      <td id="T_a6c55_row2_col1" class="data row2 col1" >$1,079,658.55</td>
     </tr>
   </tbody>
 </table>
@@ -681,17 +681,17 @@ <h1 id="iowa-whiskey-sales">Iowa whiskey sales 🥃<a class="headerlink" href="#
 </span><span id="__span-2-13"><a id="__codelineno-2-13" name="__codelineno-2-13" href="#__codelineno-2-13"></a><span class="p">)</span>
 </span></code></pre></div>
 <style type="text/css">
-#T_61d4a_row0_col0, #T_61d4a_row0_col1, #T_61d4a_row1_col0, #T_61d4a_row1_col1, #T_61d4a_row2_col0, #T_61d4a_row2_col1, #T_61d4a_row3_col0, #T_61d4a_row3_col1, #T_61d4a_row4_col0, #T_61d4a_row4_col1, #T_61d4a_row5_col0, #T_61d4a_row5_col1, #T_61d4a_row6_col0, #T_61d4a_row6_col1, #T_61d4a_row7_col0, #T_61d4a_row7_col1, #T_61d4a_row8_col0, #T_61d4a_row8_col1, #T_61d4a_row9_col0, #T_61d4a_row9_col1, #T_61d4a_row10_col0, #T_61d4a_row10_col1, #T_61d4a_row11_col0, #T_61d4a_row11_col1, #T_61d4a_row12_col0, #T_61d4a_row12_col1, #T_61d4a_row13_col0, #T_61d4a_row13_col1, #T_61d4a_row14_col0, #T_61d4a_row14_col1, #T_61d4a_row15_col0, #T_61d4a_row15_col1 {
+#T_7a52a_row0_col0, #T_7a52a_row0_col1, #T_7a52a_row1_col0, #T_7a52a_row1_col1, #T_7a52a_row2_col0, #T_7a52a_row2_col1, #T_7a52a_row3_col0, #T_7a52a_row3_col1, #T_7a52a_row4_col0, #T_7a52a_row4_col1, #T_7a52a_row5_col0, #T_7a52a_row5_col1, #T_7a52a_row6_col0, #T_7a52a_row6_col1, #T_7a52a_row7_col0, #T_7a52a_row7_col1, #T_7a52a_row8_col0, #T_7a52a_row8_col1, #T_7a52a_row9_col0, #T_7a52a_row9_col1, #T_7a52a_row10_col0, #T_7a52a_row10_col1, #T_7a52a_row11_col0, #T_7a52a_row11_col1, #T_7a52a_row12_col0, #T_7a52a_row12_col1, #T_7a52a_row13_col0, #T_7a52a_row13_col1, #T_7a52a_row14_col0, #T_7a52a_row14_col1, #T_7a52a_row15_col0, #T_7a52a_row15_col1 {
   text-align: right;
 }
 </style>
-<table id="T_61d4a">
+<table id="T_7a52a">
   <thead>
     <tr>
       <th class="blank" >&nbsp;</th>
       <th class="blank level0" >&nbsp;</th>
-      <th id="T_61d4a_level0_col0" class="col_heading level0 col0" >inner</th>
-      <th id="T_61d4a_level0_col1" class="col_heading level0 col1" >mix</th>
+      <th id="T_7a52a_level0_col0" class="col_heading level0 col0" >inner</th>
+      <th id="T_7a52a_level0_col1" class="col_heading level0 col1" >mix</th>
     </tr>
     <tr>
       <th class="index_name level0" >year</th>
@@ -702,86 +702,86 @@ <h1 id="iowa-whiskey-sales">Iowa whiskey sales 🥃<a class="headerlink" href="#
   </thead>
   <tbody>
     <tr>
-      <th id="T_61d4a_level0_row0" class="row_heading level0 row0" rowspan="8">2016</th>
-      <th id="T_61d4a_level1_row0" class="row_heading level1 row0" >BLENDED WHISKIES</th>
-      <td id="T_61d4a_row0_col0" class="data row0 col0" >$17,854.43</td>
-      <td id="T_61d4a_row0_col1" class="data row0 col1" >$7,356.77</td>
+      <th id="T_7a52a_level0_row0" class="row_heading level0 row0" rowspan="8">2016</th>
+      <th id="T_7a52a_level1_row0" class="row_heading level1 row0" >BLENDED WHISKIES</th>
+      <td id="T_7a52a_row0_col0" class="data row0 col0" >$17,854.43</td>
+      <td id="T_7a52a_row0_col1" class="data row0 col1" >$7,356.77</td>
     </tr>
     <tr>
-      <th id="T_61d4a_level1_row1" class="row_heading level1 row1" >CANADIAN WHISKIES</th>
-      <td id="T_61d4a_row1_col0" class="data row1 col0" >$0</td>
-      <td id="T_61d4a_row1_col1" class="data row1 col1" >$225,902.66</td>
+      <th id="T_7a52a_level1_row1" class="row_heading level1 row1" >CANADIAN WHISKIES</th>
+      <td id="T_7a52a_row1_col0" class="data row1 col0" >$0</td>
+      <td id="T_7a52a_row1_col1" class="data row1 col1" >$225,902.66</td>
     </tr>
     <tr>
-      <th id="T_61d4a_level1_row2" class="row_heading level1 row2" >CORN WHISKIES</th>
-      <td id="T_61d4a_row2_col0" class="data row2 col0" >$0</td>
-      <td id="T_61d4a_row2_col1" class="data row2 col1" >$4,113.90</td>
+      <th id="T_7a52a_level1_row2" class="row_heading level1 row2" >CORN WHISKIES</th>
+      <td id="T_7a52a_row2_col0" class="data row2 col0" >$0</td>
+      <td id="T_7a52a_row2_col1" class="data row2 col1" >$4,113.90</td>
     </tr>
     <tr>
-      <th id="T_61d4a_level1_row3" class="row_heading level1 row3" >IRISH WHISKIES</th>
-      <td id="T_61d4a_row3_col0" class="data row3 col0" >$22,144.48</td>
-      <td id="T_61d4a_row3_col1" class="data row3 col1" >$75,122.83</td>
+      <th id="T_7a52a_level1_row3" class="row_heading level1 row3" >IRISH WHISKIES</th>
+      <td id="T_7a52a_row3_col0" class="data row3 col0" >$22,144.48</td>
+      <td id="T_7a52a_row3_col1" class="data row3 col1" >$75,122.83</td>
     </tr>
     <tr>
-      <th id="T_61d4a_level1_row4" class="row_heading level1 row4" >SCOTCH WHISKIES</th>
-      <td id="T_61d4a_row4_col0" class="data row4 col0" >$19,591.97</td>
-      <td id="T_61d4a_row4_col1" class="data row4 col1" >$0</td>
+      <th id="T_7a52a_level1_row4" class="row_heading level1 row4" >SCOTCH WHISKIES</th>
+      <td id="T_7a52a_row4_col0" class="data row4 col0" >$19,591.97</td>
+      <td id="T_7a52a_row4_col1" class="data row4 col1" >$0</td>
     </tr>
     <tr>
-      <th id="T_61d4a_level1_row5" class="row_heading level1 row5" >SINGLE BARREL BOURBON WHISKIES</th>
-      <td id="T_61d4a_row5_col0" class="data row5 col0" >$1,852.03</td>
-      <td id="T_61d4a_row5_col1" class="data row5 col1" >$6,375.43</td>
+      <th id="T_7a52a_level1_row5" class="row_heading level1 row5" >SINGLE BARREL BOURBON WHISKIES</th>
+      <td id="T_7a52a_row5_col0" class="data row5 col0" >$1,852.03</td>
+      <td id="T_7a52a_row5_col1" class="data row5 col1" >$6,375.43</td>
     </tr>
     <tr>
-      <th id="T_61d4a_level1_row6" class="row_heading level1 row6" >STRAIGHT BOURBON WHISKIES</th>
-      <td id="T_61d4a_row6_col0" class="data row6 col0" >$107,144.93</td>
-      <td id="T_61d4a_row6_col1" class="data row6 col1" >$97,934.50</td>
+      <th id="T_7a52a_level1_row6" class="row_heading level1 row6" >STRAIGHT BOURBON WHISKIES</th>
+      <td id="T_7a52a_row6_col0" class="data row6 col0" >$107,144.93</td>
+      <td id="T_7a52a_row6_col1" class="data row6 col1" >$97,934.50</td>
     </tr>
     <tr>
-      <th id="T_61d4a_level1_row7" class="row_heading level1 row7" >STRAIGHT RYE WHISKIES</th>
-      <td id="T_61d4a_row7_col0" class="data row7 col0" >$0</td>
-      <td id="T_61d4a_row7_col1" class="data row7 col1" >$0</td>
+      <th id="T_7a52a_level1_row7" class="row_heading level1 row7" >STRAIGHT RYE WHISKIES</th>
+      <td id="T_7a52a_row7_col0" class="data row7 col0" >$0</td>
+      <td id="T_7a52a_row7_col1" class="data row7 col1" >$0</td>
     </tr>
     <tr>
-      <th id="T_61d4a_level0_row8" class="row_heading level0 row8" rowspan="8">2020</th>
-      <th id="T_61d4a_level1_row8" class="row_heading level1 row8" >BLENDED WHISKIES</th>
-      <td id="T_61d4a_row8_col0" class="data row8 col0" >$83,342.60</td>
-      <td id="T_61d4a_row8_col1" class="data row8 col1" >$59,768.58</td>
+      <th id="T_7a52a_level0_row8" class="row_heading level0 row8" rowspan="8">2020</th>
+      <th id="T_7a52a_level1_row8" class="row_heading level1 row8" >BLENDED WHISKIES</th>
+      <td id="T_7a52a_row8_col0" class="data row8 col0" >$83,342.60</td>
+      <td id="T_7a52a_row8_col1" class="data row8 col1" >$59,768.58</td>
     </tr>
     <tr>
-      <th id="T_61d4a_level1_row9" class="row_heading level1 row9" >CANADIAN WHISKIES</th>
-      <td id="T_61d4a_row9_col0" class="data row9 col0" >$224,022.62</td>
-      <td id="T_61d4a_row9_col1" class="data row9 col1" >$149,363.35</td>
+      <th id="T_7a52a_level1_row9" class="row_heading level1 row9" >CANADIAN WHISKIES</th>
+      <td id="T_7a52a_row9_col0" class="data row9 col0" >$224,022.62</td>
+      <td id="T_7a52a_row9_col1" class="data row9 col1" >$149,363.35</td>
     </tr>
     <tr>
-      <th id="T_61d4a_level1_row10" class="row_heading level1 row10" >CORN WHISKIES</th>
-      <td id="T_61d4a_row10_col0" class="data row10 col0" >$1,517.48</td>
-      <td id="T_61d4a_row10_col1" class="data row10 col1" >$1,453.26</td>
+      <th id="T_7a52a_level1_row10" class="row_heading level1 row10" >CORN WHISKIES</th>
+      <td id="T_7a52a_row10_col0" class="data row10 col0" >$1,517.48</td>
+      <td id="T_7a52a_row10_col1" class="data row10 col1" >$1,453.26</td>
     </tr>
     <tr>
-      <th id="T_61d4a_level1_row11" class="row_heading level1 row11" >IRISH WHISKIES</th>
-      <td id="T_61d4a_row11_col0" class="data row11 col0" >$0</td>
-      <td id="T_61d4a_row11_col1" class="data row11 col1" >$67,344.41</td>
+      <th id="T_7a52a_level1_row11" class="row_heading level1 row11" >IRISH WHISKIES</th>
+      <td id="T_7a52a_row11_col0" class="data row11 col0" >$0</td>
+      <td id="T_7a52a_row11_col1" class="data row11 col1" >$67,344.41</td>
     </tr>
     <tr>
-      <th id="T_61d4a_level1_row12" class="row_heading level1 row12" >SCOTCH WHISKIES</th>
-      <td id="T_61d4a_row12_col0" class="data row12 col0" >$19,840.48</td>
-      <td id="T_61d4a_row12_col1" class="data row12 col1" >$0</td>
+      <th id="T_7a52a_level1_row12" class="row_heading level1 row12" >SCOTCH WHISKIES</th>
+      <td id="T_7a52a_row12_col0" class="data row12 col0" >$19,840.48</td>
+      <td id="T_7a52a_row12_col1" class="data row12 col1" >$0</td>
     </tr>
     <tr>
-      <th id="T_61d4a_level1_row13" class="row_heading level1 row13" >SINGLE BARREL BOURBON WHISKIES</th>
-      <td id="T_61d4a_row13_col0" class="data row13 col0" >$11,958.32</td>
-      <td id="T_61d4a_row13_col1" class="data row13 col1" >$3,819.27</td>
+      <th id="T_7a52a_level1_row13" class="row_heading level1 row13" >SINGLE BARREL BOURBON WHISKIES</th>
+      <td id="T_7a52a_row13_col0" class="data row13 col0" >$11,958.32</td>
+      <td id="T_7a52a_row13_col1" class="data row13 col1" >$3,819.27</td>
     </tr>
     <tr>
-      <th id="T_61d4a_level1_row14" class="row_heading level1 row14" >STRAIGHT BOURBON WHISKIES</th>
-      <td id="T_61d4a_row14_col0" class="data row14 col0" >$167,864.46</td>
-      <td id="T_61d4a_row14_col1" class="data row14 col1" >$268,064.74</td>
+      <th id="T_7a52a_level1_row14" class="row_heading level1 row14" >STRAIGHT BOURBON WHISKIES</th>
+      <td id="T_7a52a_row14_col0" class="data row14 col0" >$167,864.46</td>
+      <td id="T_7a52a_row14_col1" class="data row14 col1" >$268,064.74</td>
     </tr>
     <tr>
-      <th id="T_61d4a_level1_row15" class="row_heading level1 row15" >STRAIGHT RYE WHISKIES</th>
-      <td id="T_61d4a_row15_col0" class="data row15 col0" >$0</td>
-      <td id="T_61d4a_row15_col1" class="data row15 col1" >$64,056.43</td>
+      <th id="T_7a52a_level1_row15" class="row_heading level1 row15" >STRAIGHT RYE WHISKIES</th>
+      <td id="T_7a52a_row15_col0" class="data row15 col0" >$0</td>
+      <td id="T_7a52a_row15_col1" class="data row15 col1" >$64,056.43</td>
     </tr>
   </tbody>
 </table>
@@ -792,23 +792,23 @@ <h1 id="iowa-whiskey-sales">Iowa whiskey sales 🥃<a class="headerlink" href="#
 <div class="language-python highlight"><pre><span></span><code><span id="__span-3-1"><a id="__codelineno-3-1" name="__codelineno-3-1" href="#__codelineno-3-1"></a><span class="n">explainer</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">sales</span><span class="p">)</span>
 </span></code></pre></div>
 <style>
-  #altair-viz-87b425397ea04a6daa6efed068755f45.vega-embed {
+  #altair-viz-16d58d9ba180408baf2590b60a2d786e.vega-embed {
     width: 100%;
     display: flex;
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-  #altair-viz-87b425397ea04a6daa6efed068755f45.vega-embed details,
-  #altair-viz-87b425397ea04a6daa6efed068755f45.vega-embed details summary {
+  #altair-viz-16d58d9ba180408baf2590b60a2d786e.vega-embed details,
+  #altair-viz-16d58d9ba180408baf2590b60a2d786e.vega-embed details summary {
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-<div id="altair-viz-87b425397ea04a6daa6efed068755f45"></div>
+<div id="altair-viz-16d58d9ba180408baf2590b60a2d786e"></div>
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-      outputDiv = document.getElementById("altair-viz-87b425397ea04a6daa6efed068755f45");
+    if (outputDiv.id !== "altair-viz-16d58d9ba180408baf2590b60a2d786e") {
+      outputDiv = document.getElementById("altair-viz-16d58d9ba180408baf2590b60a2d786e");
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     const paths = {
       "vega": "https://cdn.jsdelivr.net/npm/vega@5?noext",
@@ -854,7 +854,7 @@ <h1 id="iowa-whiskey-sales">Iowa whiskey sales 🥃<a class="headerlink" href="#
         .catch(showError)
         .then(() => displayChart(vegaEmbed));
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diff --git a/examples/simple-revenue-funnel.ipynb b/examples/simple-revenue-funnel.ipynb
index 9239fdd..3c5d281 100644
--- a/examples/simple-revenue-funnel.ipynb
+++ b/examples/simple-revenue-funnel.ipynb
@@ -19,10 +19,10 @@
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+     "iopub.execute_input": "2024-09-25T18:17:14.026252Z",
+     "iopub.status.busy": "2024-09-25T18:17:14.025915Z",
+     "iopub.status.idle": "2024-09-25T18:17:14.104707Z",
+     "shell.execute_reply": "2024-09-25T18:17:14.104426Z"
     }
    },
    "outputs": [
@@ -31,132 +31,132 @@
       "text/html": [
        "<style type=\"text/css\">\n",
        "</style>\n",
-       "<table id=\"T_40dea\">\n",
+       "<table id=\"T_74b13\">\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_40dea_level0_col0\" class=\"col_heading level0 col0\" >date</th>\n",
-       "      <th id=\"T_40dea_level0_col1\" class=\"col_heading level0 col1\" >group</th>\n",
-       "      <th id=\"T_40dea_level0_col2\" class=\"col_heading level0 col2\" >impressions</th>\n",
-       "      <th id=\"T_40dea_level0_col3\" class=\"col_heading level0 col3\" >clicks</th>\n",
-       "      <th id=\"T_40dea_level0_col4\" class=\"col_heading level0 col4\" >conversions</th>\n",
-       "      <th id=\"T_40dea_level0_col5\" class=\"col_heading level0 col5\" >revenue</th>\n",
+       "      <th id=\"T_74b13_level0_col0\" class=\"col_heading level0 col0\" >date</th>\n",
+       "      <th id=\"T_74b13_level0_col1\" class=\"col_heading level0 col1\" >group</th>\n",
+       "      <th id=\"T_74b13_level0_col2\" class=\"col_heading level0 col2\" >impressions</th>\n",
+       "      <th id=\"T_74b13_level0_col3\" class=\"col_heading level0 col3\" >clicks</th>\n",
+       "      <th id=\"T_74b13_level0_col4\" class=\"col_heading level0 col4\" >conversions</th>\n",
+       "      <th id=\"T_74b13_level0_col5\" class=\"col_heading level0 col5\" >revenue</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_40dea_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
-       "      <td id=\"T_40dea_row0_col0\" class=\"data row0 col0\" >2018-01-01</td>\n",
-       "      <td id=\"T_40dea_row0_col1\" class=\"data row0 col1\" >A</td>\n",
-       "      <td id=\"T_40dea_row0_col2\" class=\"data row0 col2\" >1000</td>\n",
-       "      <td id=\"T_40dea_row0_col3\" class=\"data row0 col3\" >150</td>\n",
-       "      <td id=\"T_40dea_row0_col4\" class=\"data row0 col4\" >120</td>\n",
-       "      <td id=\"T_40dea_row0_col5\" class=\"data row0 col5\" >$8,600.00</td>\n",
+       "      <th id=\"T_74b13_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
+       "      <td id=\"T_74b13_row0_col0\" class=\"data row0 col0\" >2018-01-01</td>\n",
+       "      <td id=\"T_74b13_row0_col1\" class=\"data row0 col1\" >A</td>\n",
+       "      <td id=\"T_74b13_row0_col2\" class=\"data row0 col2\" >1000</td>\n",
+       "      <td id=\"T_74b13_row0_col3\" class=\"data row0 col3\" >150</td>\n",
+       "      <td id=\"T_74b13_row0_col4\" class=\"data row0 col4\" >120</td>\n",
+       "      <td id=\"T_74b13_row0_col5\" class=\"data row0 col5\" >$8,600.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_40dea_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
-       "      <td id=\"T_40dea_row1_col0\" class=\"data row1 col0\" >2018-01-01</td>\n",
-       "      <td id=\"T_40dea_row1_col1\" class=\"data row1 col1\" >B</td>\n",
-       "      <td id=\"T_40dea_row1_col2\" class=\"data row1 col2\" >2000</td>\n",
-       "      <td id=\"T_40dea_row1_col3\" class=\"data row1 col3\" >150</td>\n",
-       "      <td id=\"T_40dea_row1_col4\" class=\"data row1 col4\" >150</td>\n",
-       "      <td id=\"T_40dea_row1_col5\" class=\"data row1 col5\" >$9,400.00</td>\n",
+       "      <th id=\"T_74b13_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
+       "      <td id=\"T_74b13_row1_col0\" class=\"data row1 col0\" >2018-01-01</td>\n",
+       "      <td id=\"T_74b13_row1_col1\" class=\"data row1 col1\" >B</td>\n",
+       "      <td id=\"T_74b13_row1_col2\" class=\"data row1 col2\" >2000</td>\n",
+       "      <td id=\"T_74b13_row1_col3\" class=\"data row1 col3\" >150</td>\n",
+       "      <td id=\"T_74b13_row1_col4\" class=\"data row1 col4\" >150</td>\n",
+       "      <td id=\"T_74b13_row1_col5\" class=\"data row1 col5\" >$9,400.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_40dea_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
-       "      <td id=\"T_40dea_row2_col0\" class=\"data row2 col0\" >2018-01-01</td>\n",
-       "      <td id=\"T_40dea_row2_col1\" class=\"data row2 col1\" >C</td>\n",
-       "      <td id=\"T_40dea_row2_col2\" class=\"data row2 col2\" >2500</td>\n",
-       "      <td id=\"T_40dea_row2_col3\" class=\"data row2 col3\" >250</td>\n",
-       "      <td id=\"T_40dea_row2_col4\" class=\"data row2 col4\" >125</td>\n",
-       "      <td id=\"T_40dea_row2_col5\" class=\"data row2 col5\" >$10,750.00</td>\n",
+       "      <th id=\"T_74b13_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
+       "      <td id=\"T_74b13_row2_col0\" class=\"data row2 col0\" >2018-01-01</td>\n",
+       "      <td id=\"T_74b13_row2_col1\" class=\"data row2 col1\" >C</td>\n",
+       "      <td id=\"T_74b13_row2_col2\" class=\"data row2 col2\" >2500</td>\n",
+       "      <td id=\"T_74b13_row2_col3\" class=\"data row2 col3\" >250</td>\n",
+       "      <td id=\"T_74b13_row2_col4\" class=\"data row2 col4\" >125</td>\n",
+       "      <td id=\"T_74b13_row2_col5\" class=\"data row2 col5\" >$10,750.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_40dea_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
-       "      <td id=\"T_40dea_row3_col0\" class=\"data row3 col0\" >2019-01-01</td>\n",
-       "      <td id=\"T_40dea_row3_col1\" class=\"data row3 col1\" >A</td>\n",
-       "      <td id=\"T_40dea_row3_col2\" class=\"data row3 col2\" >1000</td>\n",
-       "      <td id=\"T_40dea_row3_col3\" class=\"data row3 col3\" >120</td>\n",
-       "      <td id=\"T_40dea_row3_col4\" class=\"data row3 col4\" >160</td>\n",
-       "      <td id=\"T_40dea_row3_col5\" class=\"data row3 col5\" >$9,055.00</td>\n",
+       "      <th id=\"T_74b13_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
+       "      <td id=\"T_74b13_row3_col0\" class=\"data row3 col0\" >2019-01-01</td>\n",
+       "      <td id=\"T_74b13_row3_col1\" class=\"data row3 col1\" >A</td>\n",
+       "      <td id=\"T_74b13_row3_col2\" class=\"data row3 col2\" >1000</td>\n",
+       "      <td id=\"T_74b13_row3_col3\" class=\"data row3 col3\" >120</td>\n",
+       "      <td id=\"T_74b13_row3_col4\" class=\"data row3 col4\" >160</td>\n",
+       "      <td id=\"T_74b13_row3_col5\" class=\"data row3 col5\" >$9,055.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_40dea_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
-       "      <td id=\"T_40dea_row4_col0\" class=\"data row4 col0\" >2019-01-01</td>\n",
-       "      <td id=\"T_40dea_row4_col1\" class=\"data row4 col1\" >B</td>\n",
-       "      <td id=\"T_40dea_row4_col2\" class=\"data row4 col2\" >2150</td>\n",
-       "      <td id=\"T_40dea_row4_col3\" class=\"data row4 col3\" >200</td>\n",
-       "      <td id=\"T_40dea_row4_col4\" class=\"data row4 col4\" >145</td>\n",
-       "      <td id=\"T_40dea_row4_col5\" class=\"data row4 col5\" >$8,739.00</td>\n",
+       "      <th id=\"T_74b13_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
+       "      <td id=\"T_74b13_row4_col0\" class=\"data row4 col0\" >2019-01-01</td>\n",
+       "      <td id=\"T_74b13_row4_col1\" class=\"data row4 col1\" >B</td>\n",
+       "      <td id=\"T_74b13_row4_col2\" class=\"data row4 col2\" >2150</td>\n",
+       "      <td id=\"T_74b13_row4_col3\" class=\"data row4 col3\" >200</td>\n",
+       "      <td id=\"T_74b13_row4_col4\" class=\"data row4 col4\" >145</td>\n",
+       "      <td id=\"T_74b13_row4_col5\" class=\"data row4 col5\" >$8,739.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_40dea_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
-       "      <td id=\"T_40dea_row5_col0\" class=\"data row5 col0\" >2019-01-01</td>\n",
-       "      <td id=\"T_40dea_row5_col1\" class=\"data row5 col1\" >C</td>\n",
-       "      <td id=\"T_40dea_row5_col2\" class=\"data row5 col2\" >2000</td>\n",
-       "      <td id=\"T_40dea_row5_col3\" class=\"data row5 col3\" >400</td>\n",
-       "      <td id=\"T_40dea_row5_col4\" class=\"data row5 col4\" >166</td>\n",
-       "      <td id=\"T_40dea_row5_col5\" class=\"data row5 col5\" >$10,147.00</td>\n",
+       "      <th id=\"T_74b13_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
+       "      <td id=\"T_74b13_row5_col0\" class=\"data row5 col0\" >2019-01-01</td>\n",
+       "      <td id=\"T_74b13_row5_col1\" class=\"data row5 col1\" >C</td>\n",
+       "      <td id=\"T_74b13_row5_col2\" class=\"data row5 col2\" >2000</td>\n",
+       "      <td id=\"T_74b13_row5_col3\" class=\"data row5 col3\" >400</td>\n",
+       "      <td id=\"T_74b13_row5_col4\" class=\"data row5 col4\" >166</td>\n",
+       "      <td id=\"T_74b13_row5_col5\" class=\"data row5 col5\" >$10,147.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_40dea_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
-       "      <td id=\"T_40dea_row6_col0\" class=\"data row6 col0\" >2018-02-01</td>\n",
-       "      <td id=\"T_40dea_row6_col1\" class=\"data row6 col1\" >A</td>\n",
-       "      <td id=\"T_40dea_row6_col2\" class=\"data row6 col2\" >50</td>\n",
-       "      <td id=\"T_40dea_row6_col3\" class=\"data row6 col3\" >20</td>\n",
-       "      <td id=\"T_40dea_row6_col4\" class=\"data row6 col4\" >10</td>\n",
-       "      <td id=\"T_40dea_row6_col5\" class=\"data row6 col5\" >$500.00</td>\n",
+       "      <th id=\"T_74b13_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
+       "      <td id=\"T_74b13_row6_col0\" class=\"data row6 col0\" >2018-02-01</td>\n",
+       "      <td id=\"T_74b13_row6_col1\" class=\"data row6 col1\" >A</td>\n",
+       "      <td id=\"T_74b13_row6_col2\" class=\"data row6 col2\" >50</td>\n",
+       "      <td id=\"T_74b13_row6_col3\" class=\"data row6 col3\" >20</td>\n",
+       "      <td id=\"T_74b13_row6_col4\" class=\"data row6 col4\" >10</td>\n",
+       "      <td id=\"T_74b13_row6_col5\" class=\"data row6 col5\" >$500.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_40dea_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
-       "      <td id=\"T_40dea_row7_col0\" class=\"data row7 col0\" >2018-02-01</td>\n",
-       "      <td id=\"T_40dea_row7_col1\" class=\"data row7 col1\" >B</td>\n",
-       "      <td id=\"T_40dea_row7_col2\" class=\"data row7 col2\" >2000</td>\n",
-       "      <td id=\"T_40dea_row7_col3\" class=\"data row7 col3\" >300</td>\n",
-       "      <td id=\"T_40dea_row7_col4\" class=\"data row7 col4\" >150</td>\n",
-       "      <td id=\"T_40dea_row7_col5\" class=\"data row7 col5\" >$11,400.00</td>\n",
+       "      <th id=\"T_74b13_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
+       "      <td id=\"T_74b13_row7_col0\" class=\"data row7 col0\" >2018-02-01</td>\n",
+       "      <td id=\"T_74b13_row7_col1\" class=\"data row7 col1\" >B</td>\n",
+       "      <td id=\"T_74b13_row7_col2\" class=\"data row7 col2\" >2000</td>\n",
+       "      <td id=\"T_74b13_row7_col3\" class=\"data row7 col3\" >300</td>\n",
+       "      <td id=\"T_74b13_row7_col4\" class=\"data row7 col4\" >150</td>\n",
+       "      <td id=\"T_74b13_row7_col5\" class=\"data row7 col5\" >$11,400.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_40dea_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
-       "      <td id=\"T_40dea_row8_col0\" class=\"data row8 col0\" >2018-02-01</td>\n",
-       "      <td id=\"T_40dea_row8_col1\" class=\"data row8 col1\" >C</td>\n",
-       "      <td id=\"T_40dea_row8_col2\" class=\"data row8 col2\" >2500</td>\n",
-       "      <td id=\"T_40dea_row8_col3\" class=\"data row8 col3\" >250</td>\n",
-       "      <td id=\"T_40dea_row8_col4\" class=\"data row8 col4\" >125</td>\n",
-       "      <td id=\"T_40dea_row8_col5\" class=\"data row8 col5\" >$8,750.00</td>\n",
+       "      <th id=\"T_74b13_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
+       "      <td id=\"T_74b13_row8_col0\" class=\"data row8 col0\" >2018-02-01</td>\n",
+       "      <td id=\"T_74b13_row8_col1\" class=\"data row8 col1\" >C</td>\n",
+       "      <td id=\"T_74b13_row8_col2\" class=\"data row8 col2\" >2500</td>\n",
+       "      <td id=\"T_74b13_row8_col3\" class=\"data row8 col3\" >250</td>\n",
+       "      <td id=\"T_74b13_row8_col4\" class=\"data row8 col4\" >125</td>\n",
+       "      <td id=\"T_74b13_row8_col5\" class=\"data row8 col5\" >$8,750.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_40dea_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
-       "      <td id=\"T_40dea_row9_col0\" class=\"data row9 col0\" >2019-02-01</td>\n",
-       "      <td id=\"T_40dea_row9_col1\" class=\"data row9 col1\" >A</td>\n",
-       "      <td id=\"T_40dea_row9_col2\" class=\"data row9 col2\" >2500</td>\n",
-       "      <td id=\"T_40dea_row9_col3\" class=\"data row9 col3\" >1000</td>\n",
-       "      <td id=\"T_40dea_row9_col4\" class=\"data row9 col4\" >500</td>\n",
-       "      <td id=\"T_40dea_row9_col5\" class=\"data row9 col5\" >$50,000.00</td>\n",
+       "      <th id=\"T_74b13_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
+       "      <td id=\"T_74b13_row9_col0\" class=\"data row9 col0\" >2019-02-01</td>\n",
+       "      <td id=\"T_74b13_row9_col1\" class=\"data row9 col1\" >A</td>\n",
+       "      <td id=\"T_74b13_row9_col2\" class=\"data row9 col2\" >2500</td>\n",
+       "      <td id=\"T_74b13_row9_col3\" class=\"data row9 col3\" >1000</td>\n",
+       "      <td id=\"T_74b13_row9_col4\" class=\"data row9 col4\" >500</td>\n",
+       "      <td id=\"T_74b13_row9_col5\" class=\"data row9 col5\" >$50,000.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_40dea_level0_row10\" class=\"row_heading level0 row10\" >10</th>\n",
-       "      <td id=\"T_40dea_row10_col0\" class=\"data row10 col0\" >2019-02-01</td>\n",
-       "      <td id=\"T_40dea_row10_col1\" class=\"data row10 col1\" >B</td>\n",
-       "      <td id=\"T_40dea_row10_col2\" class=\"data row10 col2\" >2150</td>\n",
-       "      <td id=\"T_40dea_row10_col3\" class=\"data row10 col3\" >323</td>\n",
-       "      <td id=\"T_40dea_row10_col4\" class=\"data row10 col4\" >145</td>\n",
-       "      <td id=\"T_40dea_row10_col5\" class=\"data row10 col5\" >$10,739.00</td>\n",
+       "      <th id=\"T_74b13_level0_row10\" class=\"row_heading level0 row10\" >10</th>\n",
+       "      <td id=\"T_74b13_row10_col0\" class=\"data row10 col0\" >2019-02-01</td>\n",
+       "      <td id=\"T_74b13_row10_col1\" class=\"data row10 col1\" >B</td>\n",
+       "      <td id=\"T_74b13_row10_col2\" class=\"data row10 col2\" >2150</td>\n",
+       "      <td id=\"T_74b13_row10_col3\" class=\"data row10 col3\" >323</td>\n",
+       "      <td id=\"T_74b13_row10_col4\" class=\"data row10 col4\" >145</td>\n",
+       "      <td id=\"T_74b13_row10_col5\" class=\"data row10 col5\" >$10,739.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_40dea_level0_row11\" class=\"row_heading level0 row11\" >11</th>\n",
-       "      <td id=\"T_40dea_row11_col0\" class=\"data row11 col0\" >2019-02-01</td>\n",
-       "      <td id=\"T_40dea_row11_col1\" class=\"data row11 col1\" >C</td>\n",
-       "      <td id=\"T_40dea_row11_col2\" class=\"data row11 col2\" >2000</td>\n",
-       "      <td id=\"T_40dea_row11_col3\" class=\"data row11 col3\" >320</td>\n",
-       "      <td id=\"T_40dea_row11_col4\" class=\"data row11 col4\" >166</td>\n",
-       "      <td id=\"T_40dea_row11_col5\" class=\"data row11 col5\" >$12,147.00</td>\n",
+       "      <th id=\"T_74b13_level0_row11\" class=\"row_heading level0 row11\" >11</th>\n",
+       "      <td id=\"T_74b13_row11_col0\" class=\"data row11 col0\" >2019-02-01</td>\n",
+       "      <td id=\"T_74b13_row11_col1\" class=\"data row11 col1\" >C</td>\n",
+       "      <td id=\"T_74b13_row11_col2\" class=\"data row11 col2\" >2000</td>\n",
+       "      <td id=\"T_74b13_row11_col3\" class=\"data row11 col3\" >320</td>\n",
+       "      <td id=\"T_74b13_row11_col4\" class=\"data row11 col4\" >166</td>\n",
+       "      <td id=\"T_74b13_row11_col5\" class=\"data row11 col5\" >$12,147.00</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x121e95d90>"
+       "<pandas.io.formats.style.Styler at 0x127ecf850>"
       ]
      },
      "execution_count": 1,
@@ -199,10 +199,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-25T08:40:22.378509Z",
-     "iopub.status.busy": "2024-09-25T08:40:22.378303Z",
-     "iopub.status.idle": "2024-09-25T08:40:22.398464Z",
-     "shell.execute_reply": "2024-09-25T08:40:22.398209Z"
+     "iopub.execute_input": "2024-09-25T18:17:14.106265Z",
+     "iopub.status.busy": "2024-09-25T18:17:14.106153Z",
+     "iopub.status.idle": "2024-09-25T18:17:14.124196Z",
+     "shell.execute_reply": "2024-09-25T18:17:14.123930Z"
     }
    },
    "outputs": [
@@ -211,15 +211,15 @@
       "text/html": [
        "<style type=\"text/css\">\n",
        "</style>\n",
-       "<table id=\"T_d8fca\">\n",
+       "<table id=\"T_8101f\">\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_d8fca_level0_col0\" class=\"col_heading level0 col0\" >impressions</th>\n",
-       "      <th id=\"T_d8fca_level0_col1\" class=\"col_heading level0 col1\" >click_rate</th>\n",
-       "      <th id=\"T_d8fca_level0_col2\" class=\"col_heading level0 col2\" >conversion_rate</th>\n",
-       "      <th id=\"T_d8fca_level0_col3\" class=\"col_heading level0 col3\" >average_spend</th>\n",
-       "      <th id=\"T_d8fca_level0_col4\" class=\"col_heading level0 col4\" >revenue</th>\n",
+       "      <th id=\"T_8101f_level0_col0\" class=\"col_heading level0 col0\" >impressions</th>\n",
+       "      <th id=\"T_8101f_level0_col1\" class=\"col_heading level0 col1\" >click_rate</th>\n",
+       "      <th id=\"T_8101f_level0_col2\" class=\"col_heading level0 col2\" >conversion_rate</th>\n",
+       "      <th id=\"T_8101f_level0_col3\" class=\"col_heading level0 col3\" >average_spend</th>\n",
+       "      <th id=\"T_8101f_level0_col4\" class=\"col_heading level0 col4\" >revenue</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th class=\"index_name level0\" >year</th>\n",
@@ -232,26 +232,26 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_d8fca_level0_row0\" class=\"row_heading level0 row0\" >2018</th>\n",
-       "      <td id=\"T_d8fca_row0_col0\" class=\"data row0 col0\" >10050</td>\n",
-       "      <td id=\"T_d8fca_row0_col1\" class=\"data row0 col1\" >0.111443</td>\n",
-       "      <td id=\"T_d8fca_row0_col2\" class=\"data row0 col2\" >0.607143</td>\n",
-       "      <td id=\"T_d8fca_row0_col3\" class=\"data row0 col3\" >$72.65</td>\n",
-       "      <td id=\"T_d8fca_row0_col4\" class=\"data row0 col4\" >$49,400.00</td>\n",
+       "      <th id=\"T_8101f_level0_row0\" class=\"row_heading level0 row0\" >2018</th>\n",
+       "      <td id=\"T_8101f_row0_col0\" class=\"data row0 col0\" >10050</td>\n",
+       "      <td id=\"T_8101f_row0_col1\" class=\"data row0 col1\" >0.111443</td>\n",
+       "      <td id=\"T_8101f_row0_col2\" class=\"data row0 col2\" >0.607143</td>\n",
+       "      <td id=\"T_8101f_row0_col3\" class=\"data row0 col3\" >$72.65</td>\n",
+       "      <td id=\"T_8101f_row0_col4\" class=\"data row0 col4\" >$49,400.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_d8fca_level0_row1\" class=\"row_heading level0 row1\" >2019</th>\n",
-       "      <td id=\"T_d8fca_row1_col0\" class=\"data row1 col0\" >11800</td>\n",
-       "      <td id=\"T_d8fca_row1_col1\" class=\"data row1 col1\" >0.200254</td>\n",
-       "      <td id=\"T_d8fca_row1_col2\" class=\"data row1 col2\" >0.542531</td>\n",
-       "      <td id=\"T_d8fca_row1_col3\" class=\"data row1 col3\" >$78.65</td>\n",
-       "      <td id=\"T_d8fca_row1_col4\" class=\"data row1 col4\" >$100,827.00</td>\n",
+       "      <th id=\"T_8101f_level0_row1\" class=\"row_heading level0 row1\" >2019</th>\n",
+       "      <td id=\"T_8101f_row1_col0\" class=\"data row1 col0\" >11800</td>\n",
+       "      <td id=\"T_8101f_row1_col1\" class=\"data row1 col1\" >0.200254</td>\n",
+       "      <td id=\"T_8101f_row1_col2\" class=\"data row1 col2\" >0.542531</td>\n",
+       "      <td id=\"T_8101f_row1_col3\" class=\"data row1 col3\" >$78.65</td>\n",
+       "      <td id=\"T_8101f_row1_col4\" class=\"data row1 col4\" >$100,827.00</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x127360b10>"
+       "<pandas.io.formats.style.Styler at 0x13b211d90>"
       ]
      },
      "execution_count": 2,
@@ -306,10 +306,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-25T08:40:22.399934Z",
-     "iopub.status.busy": "2024-09-25T08:40:22.399828Z",
-     "iopub.status.idle": "2024-09-25T08:40:22.728790Z",
-     "shell.execute_reply": "2024-09-25T08:40:22.728507Z"
+     "iopub.execute_input": "2024-09-25T18:17:14.125577Z",
+     "iopub.status.busy": "2024-09-25T18:17:14.125466Z",
+     "iopub.status.idle": "2024-09-25T18:17:14.430522Z",
+     "shell.execute_reply": "2024-09-25T18:17:14.430007Z"
     }
    },
    "outputs": [
@@ -317,20 +317,20 @@
      "data": {
       "text/html": [
        "<style type=\"text/css\">\n",
-       "#T_05286_row0_col0, #T_05286_row0_col1, #T_05286_row0_col2, #T_05286_row0_col3, #T_05286_row1_col0, #T_05286_row1_col1, #T_05286_row1_col2, #T_05286_row1_col3, #T_05286_row2_col0, #T_05286_row2_col1, #T_05286_row2_col2, #T_05286_row2_col3, #T_05286_row3_col0, #T_05286_row3_col1, #T_05286_row3_col2, #T_05286_row3_col3, #T_05286_row4_col0, #T_05286_row4_col1, #T_05286_row4_col2, #T_05286_row4_col3, #T_05286_row5_col0, #T_05286_row5_col1, #T_05286_row5_col2, #T_05286_row5_col3 {\n",
+       "#T_c40a7_row0_col0, #T_c40a7_row0_col1, #T_c40a7_row0_col2, #T_c40a7_row0_col3, #T_c40a7_row1_col0, #T_c40a7_row1_col1, #T_c40a7_row1_col2, #T_c40a7_row1_col3, #T_c40a7_row2_col0, #T_c40a7_row2_col1, #T_c40a7_row2_col2, #T_c40a7_row2_col3, #T_c40a7_row3_col0, #T_c40a7_row3_col1, #T_c40a7_row3_col2, #T_c40a7_row3_col3, #T_c40a7_row4_col0, #T_c40a7_row4_col1, #T_c40a7_row4_col2, #T_c40a7_row4_col3, #T_c40a7_row5_col0, #T_c40a7_row5_col1, #T_c40a7_row5_col2, #T_c40a7_row5_col3 {\n",
        "  text-align: right;\n",
        "}\n",
        "</style>\n",
-       "<table id=\"T_05286\">\n",
+       "<table id=\"T_c40a7\">\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th class=\"blank\" >&nbsp;</th>\n",
        "      <th class=\"blank\" >&nbsp;</th>\n",
        "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_05286_level0_col0\" class=\"col_heading level0 col0\" >impressions_contribution</th>\n",
-       "      <th id=\"T_05286_level0_col1\" class=\"col_heading level0 col1\" >clicks_over_impressions_contribution</th>\n",
-       "      <th id=\"T_05286_level0_col2\" class=\"col_heading level0 col2\" >conversions_over_clicks_contribution</th>\n",
-       "      <th id=\"T_05286_level0_col3\" class=\"col_heading level0 col3\" >revenue_over_conversions_contribution</th>\n",
+       "      <th id=\"T_c40a7_level0_col0\" class=\"col_heading level0 col0\" >impressions_contribution</th>\n",
+       "      <th id=\"T_c40a7_level0_col1\" class=\"col_heading level0 col1\" >clicks_over_impressions_contribution</th>\n",
+       "      <th id=\"T_c40a7_level0_col2\" class=\"col_heading level0 col2\" >conversions_over_clicks_contribution</th>\n",
+       "      <th id=\"T_c40a7_level0_col3\" class=\"col_heading level0 col3\" >revenue_over_conversions_contribution</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th class=\"index_name level0\" >year</th>\n",
@@ -344,55 +344,55 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_05286_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"6\">2019</th>\n",
-       "      <th id=\"T_05286_level1_row0\" class=\"row_heading level1 row0\" rowspan=\"3\">1</th>\n",
-       "      <th id=\"T_05286_level2_row0\" class=\"row_heading level2 row0\" >A</th>\n",
-       "      <td id=\"T_05286_row0_col0\" class=\"data row0 col0\" >$0.00</td>\n",
-       "      <td id=\"T_05286_row0_col1\" class=\"data row0 col1\" >-$1,720.00</td>\n",
-       "      <td id=\"T_05286_row0_col2\" class=\"data row0 col2\" >$4,586.67</td>\n",
-       "      <td id=\"T_05286_row0_col3\" class=\"data row0 col3\" >-$2,411.67</td>\n",
+       "      <th id=\"T_c40a7_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"6\">2019</th>\n",
+       "      <th id=\"T_c40a7_level1_row0\" class=\"row_heading level1 row0\" rowspan=\"3\">1</th>\n",
+       "      <th id=\"T_c40a7_level2_row0\" class=\"row_heading level2 row0\" >A</th>\n",
+       "      <td id=\"T_c40a7_row0_col0\" class=\"data row0 col0\" >$0.00</td>\n",
+       "      <td id=\"T_c40a7_row0_col1\" class=\"data row0 col1\" >-$1,720.00</td>\n",
+       "      <td id=\"T_c40a7_row0_col2\" class=\"data row0 col2\" >$4,586.67</td>\n",
+       "      <td id=\"T_c40a7_row0_col3\" class=\"data row0 col3\" >-$2,411.67</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_05286_level2_row1\" class=\"row_heading level2 row1\" >B</th>\n",
-       "      <td id=\"T_05286_row1_col0\" class=\"data row1 col0\" >$705.00</td>\n",
-       "      <td id=\"T_05286_row1_col1\" class=\"data row1 col1\" >$2,428.33</td>\n",
-       "      <td id=\"T_05286_row1_col2\" class=\"data row1 col2\" >-$3,446.67</td>\n",
-       "      <td id=\"T_05286_row1_col3\" class=\"data row1 col3\" >-$347.67</td>\n",
+       "      <th id=\"T_c40a7_level2_row1\" class=\"row_heading level2 row1\" >B</th>\n",
+       "      <td id=\"T_c40a7_row1_col0\" class=\"data row1 col0\" >$705.00</td>\n",
+       "      <td id=\"T_c40a7_row1_col1\" class=\"data row1 col1\" >$2,428.33</td>\n",
+       "      <td id=\"T_c40a7_row1_col2\" class=\"data row1 col2\" >-$3,446.67</td>\n",
+       "      <td id=\"T_c40a7_row1_col3\" class=\"data row1 col3\" >-$347.67</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_05286_level2_row2\" class=\"row_heading level2 row2\" >C</th>\n",
-       "      <td id=\"T_05286_row2_col0\" class=\"data row2 col0\" >-$2,150.00</td>\n",
-       "      <td id=\"T_05286_row2_col1\" class=\"data row2 col1\" >$8,600.00</td>\n",
-       "      <td id=\"T_05286_row2_col2\" class=\"data row2 col2\" >-$2,924.00</td>\n",
-       "      <td id=\"T_05286_row2_col3\" class=\"data row2 col3\" >-$4,129.00</td>\n",
+       "      <th id=\"T_c40a7_level2_row2\" class=\"row_heading level2 row2\" >C</th>\n",
+       "      <td id=\"T_c40a7_row2_col0\" class=\"data row2 col0\" >-$2,150.00</td>\n",
+       "      <td id=\"T_c40a7_row2_col1\" class=\"data row2 col1\" >$8,600.00</td>\n",
+       "      <td id=\"T_c40a7_row2_col2\" class=\"data row2 col2\" >-$2,924.00</td>\n",
+       "      <td id=\"T_c40a7_row2_col3\" class=\"data row2 col3\" >-$4,129.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_05286_level1_row3\" class=\"row_heading level1 row3\" rowspan=\"3\">2</th>\n",
-       "      <th id=\"T_05286_level2_row3\" class=\"row_heading level2 row3\" >A</th>\n",
-       "      <td id=\"T_05286_row3_col0\" class=\"data row3 col0\" >$24,500.00</td>\n",
-       "      <td id=\"T_05286_row3_col1\" class=\"data row3 col1\" >$0.00</td>\n",
-       "      <td id=\"T_05286_row3_col2\" class=\"data row3 col2\" >$0.00</td>\n",
-       "      <td id=\"T_05286_row3_col3\" class=\"data row3 col3\" >$25,000.00</td>\n",
+       "      <th id=\"T_c40a7_level1_row3\" class=\"row_heading level1 row3\" rowspan=\"3\">2</th>\n",
+       "      <th id=\"T_c40a7_level2_row3\" class=\"row_heading level2 row3\" >A</th>\n",
+       "      <td id=\"T_c40a7_row3_col0\" class=\"data row3 col0\" >$24,500.00</td>\n",
+       "      <td id=\"T_c40a7_row3_col1\" class=\"data row3 col1\" >$0.00</td>\n",
+       "      <td id=\"T_c40a7_row3_col2\" class=\"data row3 col2\" >$0.00</td>\n",
+       "      <td id=\"T_c40a7_row3_col3\" class=\"data row3 col3\" >$25,000.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_05286_level2_row4\" class=\"row_heading level2 row4\" >B</th>\n",
-       "      <td id=\"T_05286_row4_col0\" class=\"data row4 col0\" >$855.00</td>\n",
-       "      <td id=\"T_05286_row4_col1\" class=\"data row4 col1\" >$19.00</td>\n",
-       "      <td id=\"T_05286_row4_col2\" class=\"data row4 col2\" >-$1,254.00</td>\n",
-       "      <td id=\"T_05286_row4_col3\" class=\"data row4 col3\" >-$281.00</td>\n",
+       "      <th id=\"T_c40a7_level2_row4\" class=\"row_heading level2 row4\" >B</th>\n",
+       "      <td id=\"T_c40a7_row4_col0\" class=\"data row4 col0\" >$855.00</td>\n",
+       "      <td id=\"T_c40a7_row4_col1\" class=\"data row4 col1\" >$19.00</td>\n",
+       "      <td id=\"T_c40a7_row4_col2\" class=\"data row4 col2\" >-$1,254.00</td>\n",
+       "      <td id=\"T_c40a7_row4_col3\" class=\"data row4 col3\" >-$281.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_05286_level2_row5\" class=\"row_heading level2 row5\" >C</th>\n",
-       "      <td id=\"T_05286_row5_col0\" class=\"data row5 col0\" >-$1,750.00</td>\n",
-       "      <td id=\"T_05286_row5_col1\" class=\"data row5 col1\" >$4,200.00</td>\n",
-       "      <td id=\"T_05286_row5_col2\" class=\"data row5 col2\" >$420.00</td>\n",
-       "      <td id=\"T_05286_row5_col3\" class=\"data row5 col3\" >$527.00</td>\n",
+       "      <th id=\"T_c40a7_level2_row5\" class=\"row_heading level2 row5\" >C</th>\n",
+       "      <td id=\"T_c40a7_row5_col0\" class=\"data row5 col0\" >-$1,750.00</td>\n",
+       "      <td id=\"T_c40a7_row5_col1\" class=\"data row5 col1\" >$4,200.00</td>\n",
+       "      <td id=\"T_c40a7_row5_col2\" class=\"data row5 col2\" >$420.00</td>\n",
+       "      <td id=\"T_c40a7_row5_col3\" class=\"data row5 col3\" >$527.00</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x1312121d0>"
+       "<pandas.io.formats.style.Styler at 0x13ddfab10>"
       ]
      },
      "execution_count": 3,
@@ -435,10 +435,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-25T08:40:22.730483Z",
-     "iopub.status.busy": "2024-09-25T08:40:22.730381Z",
-     "iopub.status.idle": "2024-09-25T08:40:22.742096Z",
-     "shell.execute_reply": "2024-09-25T08:40:22.741750Z"
+     "iopub.execute_input": "2024-09-25T18:17:14.432095Z",
+     "iopub.status.busy": "2024-09-25T18:17:14.431996Z",
+     "iopub.status.idle": "2024-09-25T18:17:14.443043Z",
+     "shell.execute_reply": "2024-09-25T18:17:14.442721Z"
     }
    },
    "outputs": [
@@ -447,11 +447,11 @@
       "text/html": [
        "<style type=\"text/css\">\n",
        "</style>\n",
-       "<table id=\"T_3fdca\">\n",
+       "<table id=\"T_8ab67\">\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_3fdca_level0_col0\" class=\"col_heading level0 col0\" >sum</th>\n",
+       "      <th id=\"T_8ab67_level0_col0\" class=\"col_heading level0 col0\" >sum</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th class=\"index_name level0\" >year</th>\n",
@@ -460,14 +460,14 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_3fdca_level0_row0\" class=\"row_heading level0 row0\" >2019</th>\n",
-       "      <td id=\"T_3fdca_row0_col0\" class=\"data row0 col0\" >$51,427.00</td>\n",
+       "      <th id=\"T_8ab67_level0_row0\" class=\"row_heading level0 row0\" >2019</th>\n",
+       "      <td id=\"T_8ab67_row0_col0\" class=\"data row0 col0\" >$51,427.00</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x12725abd0>"
+       "<pandas.io.formats.style.Styler at 0x13dfe0710>"
       ]
      },
      "execution_count": 4,
diff --git a/examples/simple-revenue-funnel/index.html b/examples/simple-revenue-funnel/index.html
index dbce3e0..fa6ba85 100644
--- a/examples/simple-revenue-funnel/index.html
+++ b/examples/simple-revenue-funnel/index.html
@@ -477,7 +477,7 @@
         
   
   <span class="md-ellipsis">
-    Different backend support with Ibis 🐦
+    Different backend support with Ibis 🪽
   </span>
   
 
@@ -553,126 +553,126 @@ <h1 id="simple-revenue-funnel">Simple revenue funnel 🛒<a class="headerlink" h
 </span></code></pre></div>
 <style type="text/css">
 </style>
-<table id="T_40dea">
+<table id="T_74b13">
   <thead>
     <tr>
       <th class="blank level0" >&nbsp;</th>
-      <th id="T_40dea_level0_col0" class="col_heading level0 col0" >date</th>
-      <th id="T_40dea_level0_col1" class="col_heading level0 col1" >group</th>
-      <th id="T_40dea_level0_col2" class="col_heading level0 col2" >impressions</th>
-      <th id="T_40dea_level0_col3" class="col_heading level0 col3" >clicks</th>
-      <th id="T_40dea_level0_col4" class="col_heading level0 col4" >conversions</th>
-      <th id="T_40dea_level0_col5" class="col_heading level0 col5" >revenue</th>
+      <th id="T_74b13_level0_col0" class="col_heading level0 col0" >date</th>
+      <th id="T_74b13_level0_col1" class="col_heading level0 col1" >group</th>
+      <th id="T_74b13_level0_col2" class="col_heading level0 col2" >impressions</th>
+      <th id="T_74b13_level0_col3" class="col_heading level0 col3" >clicks</th>
+      <th id="T_74b13_level0_col4" class="col_heading level0 col4" >conversions</th>
+      <th id="T_74b13_level0_col5" class="col_heading level0 col5" >revenue</th>
     </tr>
   </thead>
   <tbody>
     <tr>
-      <th id="T_40dea_level0_row0" class="row_heading level0 row0" >0</th>
-      <td id="T_40dea_row0_col0" class="data row0 col0" >2018-01-01</td>
-      <td id="T_40dea_row0_col1" class="data row0 col1" >A</td>
-      <td id="T_40dea_row0_col2" class="data row0 col2" >1000</td>
-      <td id="T_40dea_row0_col3" class="data row0 col3" >150</td>
-      <td id="T_40dea_row0_col4" class="data row0 col4" >120</td>
-      <td id="T_40dea_row0_col5" class="data row0 col5" >$8,600.00</td>
+      <th id="T_74b13_level0_row0" class="row_heading level0 row0" >0</th>
+      <td id="T_74b13_row0_col0" class="data row0 col0" >2018-01-01</td>
+      <td id="T_74b13_row0_col1" class="data row0 col1" >A</td>
+      <td id="T_74b13_row0_col2" class="data row0 col2" >1000</td>
+      <td id="T_74b13_row0_col3" class="data row0 col3" >150</td>
+      <td id="T_74b13_row0_col4" class="data row0 col4" >120</td>
+      <td id="T_74b13_row0_col5" class="data row0 col5" >$8,600.00</td>
     </tr>
     <tr>
-      <th id="T_40dea_level0_row1" class="row_heading level0 row1" >1</th>
-      <td id="T_40dea_row1_col0" class="data row1 col0" >2018-01-01</td>
-      <td id="T_40dea_row1_col1" class="data row1 col1" >B</td>
-      <td id="T_40dea_row1_col2" class="data row1 col2" >2000</td>
-      <td id="T_40dea_row1_col3" class="data row1 col3" >150</td>
-      <td id="T_40dea_row1_col4" class="data row1 col4" >150</td>
-      <td id="T_40dea_row1_col5" class="data row1 col5" >$9,400.00</td>
+      <th id="T_74b13_level0_row1" class="row_heading level0 row1" >1</th>
+      <td id="T_74b13_row1_col0" class="data row1 col0" >2018-01-01</td>
+      <td id="T_74b13_row1_col1" class="data row1 col1" >B</td>
+      <td id="T_74b13_row1_col2" class="data row1 col2" >2000</td>
+      <td id="T_74b13_row1_col3" class="data row1 col3" >150</td>
+      <td id="T_74b13_row1_col4" class="data row1 col4" >150</td>
+      <td id="T_74b13_row1_col5" class="data row1 col5" >$9,400.00</td>
     </tr>
     <tr>
-      <th id="T_40dea_level0_row2" class="row_heading level0 row2" >2</th>
-      <td id="T_40dea_row2_col0" class="data row2 col0" >2018-01-01</td>
-      <td id="T_40dea_row2_col1" class="data row2 col1" >C</td>
-      <td id="T_40dea_row2_col2" class="data row2 col2" >2500</td>
-      <td id="T_40dea_row2_col3" class="data row2 col3" >250</td>
-      <td id="T_40dea_row2_col4" class="data row2 col4" >125</td>
-      <td id="T_40dea_row2_col5" class="data row2 col5" >$10,750.00</td>
+      <th id="T_74b13_level0_row2" class="row_heading level0 row2" >2</th>
+      <td id="T_74b13_row2_col0" class="data row2 col0" >2018-01-01</td>
+      <td id="T_74b13_row2_col1" class="data row2 col1" >C</td>
+      <td id="T_74b13_row2_col2" class="data row2 col2" >2500</td>
+      <td id="T_74b13_row2_col3" class="data row2 col3" >250</td>
+      <td id="T_74b13_row2_col4" class="data row2 col4" >125</td>
+      <td id="T_74b13_row2_col5" class="data row2 col5" >$10,750.00</td>
     </tr>
     <tr>
-      <th id="T_40dea_level0_row3" class="row_heading level0 row3" >3</th>
-      <td id="T_40dea_row3_col0" class="data row3 col0" >2019-01-01</td>
-      <td id="T_40dea_row3_col1" class="data row3 col1" >A</td>
-      <td id="T_40dea_row3_col2" class="data row3 col2" >1000</td>
-      <td id="T_40dea_row3_col3" class="data row3 col3" >120</td>
-      <td id="T_40dea_row3_col4" class="data row3 col4" >160</td>
-      <td id="T_40dea_row3_col5" class="data row3 col5" >$9,055.00</td>
+      <th id="T_74b13_level0_row3" class="row_heading level0 row3" >3</th>
+      <td id="T_74b13_row3_col0" class="data row3 col0" >2019-01-01</td>
+      <td id="T_74b13_row3_col1" class="data row3 col1" >A</td>
+      <td id="T_74b13_row3_col2" class="data row3 col2" >1000</td>
+      <td id="T_74b13_row3_col3" class="data row3 col3" >120</td>
+      <td id="T_74b13_row3_col4" class="data row3 col4" >160</td>
+      <td id="T_74b13_row3_col5" class="data row3 col5" >$9,055.00</td>
     </tr>
     <tr>
-      <th id="T_40dea_level0_row4" class="row_heading level0 row4" >4</th>
-      <td id="T_40dea_row4_col0" class="data row4 col0" >2019-01-01</td>
-      <td id="T_40dea_row4_col1" class="data row4 col1" >B</td>
-      <td id="T_40dea_row4_col2" class="data row4 col2" >2150</td>
-      <td id="T_40dea_row4_col3" class="data row4 col3" >200</td>
-      <td id="T_40dea_row4_col4" class="data row4 col4" >145</td>
-      <td id="T_40dea_row4_col5" class="data row4 col5" >$8,739.00</td>
+      <th id="T_74b13_level0_row4" class="row_heading level0 row4" >4</th>
+      <td id="T_74b13_row4_col0" class="data row4 col0" >2019-01-01</td>
+      <td id="T_74b13_row4_col1" class="data row4 col1" >B</td>
+      <td id="T_74b13_row4_col2" class="data row4 col2" >2150</td>
+      <td id="T_74b13_row4_col3" class="data row4 col3" >200</td>
+      <td id="T_74b13_row4_col4" class="data row4 col4" >145</td>
+      <td id="T_74b13_row4_col5" class="data row4 col5" >$8,739.00</td>
     </tr>
     <tr>
-      <th id="T_40dea_level0_row5" class="row_heading level0 row5" >5</th>
-      <td id="T_40dea_row5_col0" class="data row5 col0" >2019-01-01</td>
-      <td id="T_40dea_row5_col1" class="data row5 col1" >C</td>
-      <td id="T_40dea_row5_col2" class="data row5 col2" >2000</td>
-      <td id="T_40dea_row5_col3" class="data row5 col3" >400</td>
-      <td id="T_40dea_row5_col4" class="data row5 col4" >166</td>
-      <td id="T_40dea_row5_col5" class="data row5 col5" >$10,147.00</td>
+      <th id="T_74b13_level0_row5" class="row_heading level0 row5" >5</th>
+      <td id="T_74b13_row5_col0" class="data row5 col0" >2019-01-01</td>
+      <td id="T_74b13_row5_col1" class="data row5 col1" >C</td>
+      <td id="T_74b13_row5_col2" class="data row5 col2" >2000</td>
+      <td id="T_74b13_row5_col3" class="data row5 col3" >400</td>
+      <td id="T_74b13_row5_col4" class="data row5 col4" >166</td>
+      <td id="T_74b13_row5_col5" class="data row5 col5" >$10,147.00</td>
     </tr>
     <tr>
-      <th id="T_40dea_level0_row6" class="row_heading level0 row6" >6</th>
-      <td id="T_40dea_row6_col0" class="data row6 col0" >2018-02-01</td>
-      <td id="T_40dea_row6_col1" class="data row6 col1" >A</td>
-      <td id="T_40dea_row6_col2" class="data row6 col2" >50</td>
-      <td id="T_40dea_row6_col3" class="data row6 col3" >20</td>
-      <td id="T_40dea_row6_col4" class="data row6 col4" >10</td>
-      <td id="T_40dea_row6_col5" class="data row6 col5" >$500.00</td>
+      <th id="T_74b13_level0_row6" class="row_heading level0 row6" >6</th>
+      <td id="T_74b13_row6_col0" class="data row6 col0" >2018-02-01</td>
+      <td id="T_74b13_row6_col1" class="data row6 col1" >A</td>
+      <td id="T_74b13_row6_col2" class="data row6 col2" >50</td>
+      <td id="T_74b13_row6_col3" class="data row6 col3" >20</td>
+      <td id="T_74b13_row6_col4" class="data row6 col4" >10</td>
+      <td id="T_74b13_row6_col5" class="data row6 col5" >$500.00</td>
     </tr>
     <tr>
-      <th id="T_40dea_level0_row7" class="row_heading level0 row7" >7</th>
-      <td id="T_40dea_row7_col0" class="data row7 col0" >2018-02-01</td>
-      <td id="T_40dea_row7_col1" class="data row7 col1" >B</td>
-      <td id="T_40dea_row7_col2" class="data row7 col2" >2000</td>
-      <td id="T_40dea_row7_col3" class="data row7 col3" >300</td>
-      <td id="T_40dea_row7_col4" class="data row7 col4" >150</td>
-      <td id="T_40dea_row7_col5" class="data row7 col5" >$11,400.00</td>
+      <th id="T_74b13_level0_row7" class="row_heading level0 row7" >7</th>
+      <td id="T_74b13_row7_col0" class="data row7 col0" >2018-02-01</td>
+      <td id="T_74b13_row7_col1" class="data row7 col1" >B</td>
+      <td id="T_74b13_row7_col2" class="data row7 col2" >2000</td>
+      <td id="T_74b13_row7_col3" class="data row7 col3" >300</td>
+      <td id="T_74b13_row7_col4" class="data row7 col4" >150</td>
+      <td id="T_74b13_row7_col5" class="data row7 col5" >$11,400.00</td>
     </tr>
     <tr>
-      <th id="T_40dea_level0_row8" class="row_heading level0 row8" >8</th>
-      <td id="T_40dea_row8_col0" class="data row8 col0" >2018-02-01</td>
-      <td id="T_40dea_row8_col1" class="data row8 col1" >C</td>
-      <td id="T_40dea_row8_col2" class="data row8 col2" >2500</td>
-      <td id="T_40dea_row8_col3" class="data row8 col3" >250</td>
-      <td id="T_40dea_row8_col4" class="data row8 col4" >125</td>
-      <td id="T_40dea_row8_col5" class="data row8 col5" >$8,750.00</td>
+      <th id="T_74b13_level0_row8" class="row_heading level0 row8" >8</th>
+      <td id="T_74b13_row8_col0" class="data row8 col0" >2018-02-01</td>
+      <td id="T_74b13_row8_col1" class="data row8 col1" >C</td>
+      <td id="T_74b13_row8_col2" class="data row8 col2" >2500</td>
+      <td id="T_74b13_row8_col3" class="data row8 col3" >250</td>
+      <td id="T_74b13_row8_col4" class="data row8 col4" >125</td>
+      <td id="T_74b13_row8_col5" class="data row8 col5" >$8,750.00</td>
     </tr>
     <tr>
-      <th id="T_40dea_level0_row9" class="row_heading level0 row9" >9</th>
-      <td id="T_40dea_row9_col0" class="data row9 col0" >2019-02-01</td>
-      <td id="T_40dea_row9_col1" class="data row9 col1" >A</td>
-      <td id="T_40dea_row9_col2" class="data row9 col2" >2500</td>
-      <td id="T_40dea_row9_col3" class="data row9 col3" >1000</td>
-      <td id="T_40dea_row9_col4" class="data row9 col4" >500</td>
-      <td id="T_40dea_row9_col5" class="data row9 col5" >$50,000.00</td>
+      <th id="T_74b13_level0_row9" class="row_heading level0 row9" >9</th>
+      <td id="T_74b13_row9_col0" class="data row9 col0" >2019-02-01</td>
+      <td id="T_74b13_row9_col1" class="data row9 col1" >A</td>
+      <td id="T_74b13_row9_col2" class="data row9 col2" >2500</td>
+      <td id="T_74b13_row9_col3" class="data row9 col3" >1000</td>
+      <td id="T_74b13_row9_col4" class="data row9 col4" >500</td>
+      <td id="T_74b13_row9_col5" class="data row9 col5" >$50,000.00</td>
     </tr>
     <tr>
-      <th id="T_40dea_level0_row10" class="row_heading level0 row10" >10</th>
-      <td id="T_40dea_row10_col0" class="data row10 col0" >2019-02-01</td>
-      <td id="T_40dea_row10_col1" class="data row10 col1" >B</td>
-      <td id="T_40dea_row10_col2" class="data row10 col2" >2150</td>
-      <td id="T_40dea_row10_col3" class="data row10 col3" >323</td>
-      <td id="T_40dea_row10_col4" class="data row10 col4" >145</td>
-      <td id="T_40dea_row10_col5" class="data row10 col5" >$10,739.00</td>
+      <th id="T_74b13_level0_row10" class="row_heading level0 row10" >10</th>
+      <td id="T_74b13_row10_col0" class="data row10 col0" >2019-02-01</td>
+      <td id="T_74b13_row10_col1" class="data row10 col1" >B</td>
+      <td id="T_74b13_row10_col2" class="data row10 col2" >2150</td>
+      <td id="T_74b13_row10_col3" class="data row10 col3" >323</td>
+      <td id="T_74b13_row10_col4" class="data row10 col4" >145</td>
+      <td id="T_74b13_row10_col5" class="data row10 col5" >$10,739.00</td>
     </tr>
     <tr>
-      <th id="T_40dea_level0_row11" class="row_heading level0 row11" >11</th>
-      <td id="T_40dea_row11_col0" class="data row11 col0" >2019-02-01</td>
-      <td id="T_40dea_row11_col1" class="data row11 col1" >C</td>
-      <td id="T_40dea_row11_col2" class="data row11 col2" >2000</td>
-      <td id="T_40dea_row11_col3" class="data row11 col3" >320</td>
-      <td id="T_40dea_row11_col4" class="data row11 col4" >166</td>
-      <td id="T_40dea_row11_col5" class="data row11 col5" >$12,147.00</td>
+      <th id="T_74b13_level0_row11" class="row_heading level0 row11" >11</th>
+      <td id="T_74b13_row11_col0" class="data row11 col0" >2019-02-01</td>
+      <td id="T_74b13_row11_col1" class="data row11 col1" >C</td>
+      <td id="T_74b13_row11_col2" class="data row11 col2" >2000</td>
+      <td id="T_74b13_row11_col3" class="data row11 col3" >320</td>
+      <td id="T_74b13_row11_col4" class="data row11 col4" >166</td>
+      <td id="T_74b13_row11_col5" class="data row11 col5" >$12,147.00</td>
     </tr>
   </tbody>
 </table>
@@ -714,15 +714,15 @@ <h1 id="simple-revenue-funnel">Simple revenue funnel 🛒<a class="headerlink" h
 </span></code></pre></div>
 <style type="text/css">
 </style>
-<table id="T_d8fca">
+<table id="T_8101f">
   <thead>
     <tr>
       <th class="blank level0" >&nbsp;</th>
-      <th id="T_d8fca_level0_col0" class="col_heading level0 col0" >impressions</th>
-      <th id="T_d8fca_level0_col1" class="col_heading level0 col1" >click_rate</th>
-      <th id="T_d8fca_level0_col2" class="col_heading level0 col2" >conversion_rate</th>
-      <th id="T_d8fca_level0_col3" class="col_heading level0 col3" >average_spend</th>
-      <th id="T_d8fca_level0_col4" class="col_heading level0 col4" >revenue</th>
+      <th id="T_8101f_level0_col0" class="col_heading level0 col0" >impressions</th>
+      <th id="T_8101f_level0_col1" class="col_heading level0 col1" >click_rate</th>
+      <th id="T_8101f_level0_col2" class="col_heading level0 col2" >conversion_rate</th>
+      <th id="T_8101f_level0_col3" class="col_heading level0 col3" >average_spend</th>
+      <th id="T_8101f_level0_col4" class="col_heading level0 col4" >revenue</th>
     </tr>
     <tr>
       <th class="index_name level0" >year</th>
@@ -735,20 +735,20 @@ <h1 id="simple-revenue-funnel">Simple revenue funnel 🛒<a class="headerlink" h
   </thead>
   <tbody>
     <tr>
-      <th id="T_d8fca_level0_row0" class="row_heading level0 row0" >2018</th>
-      <td id="T_d8fca_row0_col0" class="data row0 col0" >10050</td>
-      <td id="T_d8fca_row0_col1" class="data row0 col1" >0.111443</td>
-      <td id="T_d8fca_row0_col2" class="data row0 col2" >0.607143</td>
-      <td id="T_d8fca_row0_col3" class="data row0 col3" >$72.65</td>
-      <td id="T_d8fca_row0_col4" class="data row0 col4" >$49,400.00</td>
+      <th id="T_8101f_level0_row0" class="row_heading level0 row0" >2018</th>
+      <td id="T_8101f_row0_col0" class="data row0 col0" >10050</td>
+      <td id="T_8101f_row0_col1" class="data row0 col1" >0.111443</td>
+      <td id="T_8101f_row0_col2" class="data row0 col2" >0.607143</td>
+      <td id="T_8101f_row0_col3" class="data row0 col3" >$72.65</td>
+      <td id="T_8101f_row0_col4" class="data row0 col4" >$49,400.00</td>
     </tr>
     <tr>
-      <th id="T_d8fca_level0_row1" class="row_heading level0 row1" >2019</th>
-      <td id="T_d8fca_row1_col0" class="data row1 col0" >11800</td>
-      <td id="T_d8fca_row1_col1" class="data row1 col1" >0.200254</td>
-      <td id="T_d8fca_row1_col2" class="data row1 col2" >0.542531</td>
-      <td id="T_d8fca_row1_col3" class="data row1 col3" >$78.65</td>
-      <td id="T_d8fca_row1_col4" class="data row1 col4" >$100,827.00</td>
+      <th id="T_8101f_level0_row1" class="row_heading level0 row1" >2019</th>
+      <td id="T_8101f_row1_col0" class="data row1 col0" >11800</td>
+      <td id="T_8101f_row1_col1" class="data row1 col1" >0.200254</td>
+      <td id="T_8101f_row1_col2" class="data row1 col2" >0.542531</td>
+      <td id="T_8101f_row1_col3" class="data row1 col3" >$78.65</td>
+      <td id="T_8101f_row1_col4" class="data row1 col4" >$100,827.00</td>
     </tr>
   </tbody>
 </table>
@@ -769,20 +769,20 @@ <h1 id="simple-revenue-funnel">Simple revenue funnel 🛒<a class="headerlink" h
 </span><span id="__span-2-13"><a id="__codelineno-2-13" name="__codelineno-2-13" href="#__codelineno-2-13"></a><span class="n">explanation</span><span class="o">.</span><span class="n">style</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">fmt_currency</span><span class="p">)</span><span class="o">.</span><span class="n">set_properties</span><span class="p">(</span><span class="o">**</span><span class="p">{</span><span class="s1">&#39;text-align&#39;</span><span class="p">:</span> <span class="s1">&#39;right&#39;</span><span class="p">})</span>
 </span></code></pre></div>
 <style type="text/css">
-#T_05286_row0_col0, #T_05286_row0_col1, #T_05286_row0_col2, #T_05286_row0_col3, #T_05286_row1_col0, #T_05286_row1_col1, #T_05286_row1_col2, #T_05286_row1_col3, #T_05286_row2_col0, #T_05286_row2_col1, #T_05286_row2_col2, #T_05286_row2_col3, #T_05286_row3_col0, #T_05286_row3_col1, #T_05286_row3_col2, #T_05286_row3_col3, #T_05286_row4_col0, #T_05286_row4_col1, #T_05286_row4_col2, #T_05286_row4_col3, #T_05286_row5_col0, #T_05286_row5_col1, #T_05286_row5_col2, #T_05286_row5_col3 {
+#T_c40a7_row0_col0, #T_c40a7_row0_col1, #T_c40a7_row0_col2, #T_c40a7_row0_col3, #T_c40a7_row1_col0, #T_c40a7_row1_col1, #T_c40a7_row1_col2, #T_c40a7_row1_col3, #T_c40a7_row2_col0, #T_c40a7_row2_col1, #T_c40a7_row2_col2, #T_c40a7_row2_col3, #T_c40a7_row3_col0, #T_c40a7_row3_col1, #T_c40a7_row3_col2, #T_c40a7_row3_col3, #T_c40a7_row4_col0, #T_c40a7_row4_col1, #T_c40a7_row4_col2, #T_c40a7_row4_col3, #T_c40a7_row5_col0, #T_c40a7_row5_col1, #T_c40a7_row5_col2, #T_c40a7_row5_col3 {
   text-align: right;
 }
 </style>
-<table id="T_05286">
+<table id="T_c40a7">
   <thead>
     <tr>
       <th class="blank" >&nbsp;</th>
       <th class="blank" >&nbsp;</th>
       <th class="blank level0" >&nbsp;</th>
-      <th id="T_05286_level0_col0" class="col_heading level0 col0" >impressions_contribution</th>
-      <th id="T_05286_level0_col1" class="col_heading level0 col1" >clicks_over_impressions_contribution</th>
-      <th id="T_05286_level0_col2" class="col_heading level0 col2" >conversions_over_clicks_contribution</th>
-      <th id="T_05286_level0_col3" class="col_heading level0 col3" >revenue_over_conversions_contribution</th>
+      <th id="T_c40a7_level0_col0" class="col_heading level0 col0" >impressions_contribution</th>
+      <th id="T_c40a7_level0_col1" class="col_heading level0 col1" >clicks_over_impressions_contribution</th>
+      <th id="T_c40a7_level0_col2" class="col_heading level0 col2" >conversions_over_clicks_contribution</th>
+      <th id="T_c40a7_level0_col3" class="col_heading level0 col3" >revenue_over_conversions_contribution</th>
     </tr>
     <tr>
       <th class="index_name level0" >year</th>
@@ -796,49 +796,49 @@ <h1 id="simple-revenue-funnel">Simple revenue funnel 🛒<a class="headerlink" h
   </thead>
   <tbody>
     <tr>
-      <th id="T_05286_level0_row0" class="row_heading level0 row0" rowspan="6">2019</th>
-      <th id="T_05286_level1_row0" class="row_heading level1 row0" rowspan="3">1</th>
-      <th id="T_05286_level2_row0" class="row_heading level2 row0" >A</th>
-      <td id="T_05286_row0_col0" class="data row0 col0" >$0.00</td>
-      <td id="T_05286_row0_col1" class="data row0 col1" >-$1,720.00</td>
-      <td id="T_05286_row0_col2" class="data row0 col2" >$4,586.67</td>
-      <td id="T_05286_row0_col3" class="data row0 col3" >-$2,411.67</td>
+      <th id="T_c40a7_level0_row0" class="row_heading level0 row0" rowspan="6">2019</th>
+      <th id="T_c40a7_level1_row0" class="row_heading level1 row0" rowspan="3">1</th>
+      <th id="T_c40a7_level2_row0" class="row_heading level2 row0" >A</th>
+      <td id="T_c40a7_row0_col0" class="data row0 col0" >$0.00</td>
+      <td id="T_c40a7_row0_col1" class="data row0 col1" >-$1,720.00</td>
+      <td id="T_c40a7_row0_col2" class="data row0 col2" >$4,586.67</td>
+      <td id="T_c40a7_row0_col3" class="data row0 col3" >-$2,411.67</td>
     </tr>
     <tr>
-      <th id="T_05286_level2_row1" class="row_heading level2 row1" >B</th>
-      <td id="T_05286_row1_col0" class="data row1 col0" >$705.00</td>
-      <td id="T_05286_row1_col1" class="data row1 col1" >$2,428.33</td>
-      <td id="T_05286_row1_col2" class="data row1 col2" >-$3,446.67</td>
-      <td id="T_05286_row1_col3" class="data row1 col3" >-$347.67</td>
+      <th id="T_c40a7_level2_row1" class="row_heading level2 row1" >B</th>
+      <td id="T_c40a7_row1_col0" class="data row1 col0" >$705.00</td>
+      <td id="T_c40a7_row1_col1" class="data row1 col1" >$2,428.33</td>
+      <td id="T_c40a7_row1_col2" class="data row1 col2" >-$3,446.67</td>
+      <td id="T_c40a7_row1_col3" class="data row1 col3" >-$347.67</td>
     </tr>
     <tr>
-      <th id="T_05286_level2_row2" class="row_heading level2 row2" >C</th>
-      <td id="T_05286_row2_col0" class="data row2 col0" >-$2,150.00</td>
-      <td id="T_05286_row2_col1" class="data row2 col1" >$8,600.00</td>
-      <td id="T_05286_row2_col2" class="data row2 col2" >-$2,924.00</td>
-      <td id="T_05286_row2_col3" class="data row2 col3" >-$4,129.00</td>
+      <th id="T_c40a7_level2_row2" class="row_heading level2 row2" >C</th>
+      <td id="T_c40a7_row2_col0" class="data row2 col0" >-$2,150.00</td>
+      <td id="T_c40a7_row2_col1" class="data row2 col1" >$8,600.00</td>
+      <td id="T_c40a7_row2_col2" class="data row2 col2" >-$2,924.00</td>
+      <td id="T_c40a7_row2_col3" class="data row2 col3" >-$4,129.00</td>
     </tr>
     <tr>
-      <th id="T_05286_level1_row3" class="row_heading level1 row3" rowspan="3">2</th>
-      <th id="T_05286_level2_row3" class="row_heading level2 row3" >A</th>
-      <td id="T_05286_row3_col0" class="data row3 col0" >$24,500.00</td>
-      <td id="T_05286_row3_col1" class="data row3 col1" >$0.00</td>
-      <td id="T_05286_row3_col2" class="data row3 col2" >$0.00</td>
-      <td id="T_05286_row3_col3" class="data row3 col3" >$25,000.00</td>
+      <th id="T_c40a7_level1_row3" class="row_heading level1 row3" rowspan="3">2</th>
+      <th id="T_c40a7_level2_row3" class="row_heading level2 row3" >A</th>
+      <td id="T_c40a7_row3_col0" class="data row3 col0" >$24,500.00</td>
+      <td id="T_c40a7_row3_col1" class="data row3 col1" >$0.00</td>
+      <td id="T_c40a7_row3_col2" class="data row3 col2" >$0.00</td>
+      <td id="T_c40a7_row3_col3" class="data row3 col3" >$25,000.00</td>
     </tr>
     <tr>
-      <th id="T_05286_level2_row4" class="row_heading level2 row4" >B</th>
-      <td id="T_05286_row4_col0" class="data row4 col0" >$855.00</td>
-      <td id="T_05286_row4_col1" class="data row4 col1" >$19.00</td>
-      <td id="T_05286_row4_col2" class="data row4 col2" >-$1,254.00</td>
-      <td id="T_05286_row4_col3" class="data row4 col3" >-$281.00</td>
+      <th id="T_c40a7_level2_row4" class="row_heading level2 row4" >B</th>
+      <td id="T_c40a7_row4_col0" class="data row4 col0" >$855.00</td>
+      <td id="T_c40a7_row4_col1" class="data row4 col1" >$19.00</td>
+      <td id="T_c40a7_row4_col2" class="data row4 col2" >-$1,254.00</td>
+      <td id="T_c40a7_row4_col3" class="data row4 col3" >-$281.00</td>
     </tr>
     <tr>
-      <th id="T_05286_level2_row5" class="row_heading level2 row5" >C</th>
-      <td id="T_05286_row5_col0" class="data row5 col0" >-$1,750.00</td>
-      <td id="T_05286_row5_col1" class="data row5 col1" >$4,200.00</td>
-      <td id="T_05286_row5_col2" class="data row5 col2" >$420.00</td>
-      <td id="T_05286_row5_col3" class="data row5 col3" >$527.00</td>
+      <th id="T_c40a7_level2_row5" class="row_heading level2 row5" >C</th>
+      <td id="T_c40a7_row5_col0" class="data row5 col0" >-$1,750.00</td>
+      <td id="T_c40a7_row5_col1" class="data row5 col1" >$4,200.00</td>
+      <td id="T_c40a7_row5_col2" class="data row5 col2" >$420.00</td>
+      <td id="T_c40a7_row5_col3" class="data row5 col3" >$527.00</td>
     </tr>
   </tbody>
 </table>
@@ -854,11 +854,11 @@ <h1 id="simple-revenue-funnel">Simple revenue funnel 🛒<a class="headerlink" h
 </span></code></pre></div>
 <style type="text/css">
 </style>
-<table id="T_3fdca">
+<table id="T_8ab67">
   <thead>
     <tr>
       <th class="blank level0" >&nbsp;</th>
-      <th id="T_3fdca_level0_col0" class="col_heading level0 col0" >sum</th>
+      <th id="T_8ab67_level0_col0" class="col_heading level0 col0" >sum</th>
     </tr>
     <tr>
       <th class="index_name level0" >year</th>
@@ -867,8 +867,8 @@ <h1 id="simple-revenue-funnel">Simple revenue funnel 🛒<a class="headerlink" h
   </thead>
   <tbody>
     <tr>
-      <th id="T_3fdca_level0_row0" class="row_heading level0 row0" >2019</th>
-      <td id="T_3fdca_row0_col0" class="data row0 col0" >$51,427.00</td>
+      <th id="T_8ab67_level0_row0" class="row_heading level0 row0" >2019</th>
+      <td id="T_8ab67_row0_col0" class="data row0 col0" >$51,427.00</td>
     </tr>
   </tbody>
 </table>
diff --git a/index.html b/index.html
index cf9dc70..e024c4c 100644
--- a/index.html
+++ b/index.html
@@ -475,7 +475,7 @@
         
   
   <span class="md-ellipsis">
-    Different backend support with Ibis 🐦
+    Different backend support with Ibis 🪽
   </span>
   
 
diff --git a/installation/index.html b/installation/index.html
index 5e97837..f9b0dcc 100644
--- a/installation/index.html
+++ b/installation/index.html
@@ -477,7 +477,7 @@
         
   
   <span class="md-ellipsis">
-    Different backend support with Ibis 🐦
+    Different backend support with Ibis 🪽
   </span>
   
 
diff --git a/methods/funnel.ipynb b/methods/funnel.ipynb
index bea7516..26c85fb 100644
--- a/methods/funnel.ipynb
+++ b/methods/funnel.ipynb
@@ -12,10 +12,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-25T08:40:25.341828Z",
-     "iopub.status.busy": "2024-09-25T08:40:25.341418Z",
-     "iopub.status.idle": "2024-09-25T08:40:25.360667Z",
-     "shell.execute_reply": "2024-09-25T08:40:25.360217Z"
+     "iopub.execute_input": "2024-09-25T18:17:17.060195Z",
+     "iopub.status.busy": "2024-09-25T18:17:17.057969Z",
+     "iopub.status.idle": "2024-09-25T18:17:17.082563Z",
+     "shell.execute_reply": "2024-09-25T18:17:17.082056Z"
     }
    },
    "outputs": [],
diff --git a/methods/funnel/index.html b/methods/funnel/index.html
index fed215b..e5d928b 100644
--- a/methods/funnel/index.html
+++ b/methods/funnel/index.html
@@ -456,7 +456,7 @@
         
   
   <span class="md-ellipsis">
-    Different backend support with Ibis 🐦
+    Different backend support with Ibis 🪽
   </span>
   
 
diff --git a/methods/ratio/index.html b/methods/ratio/index.html
index 87819f9..57379a2 100644
--- a/methods/ratio/index.html
+++ b/methods/ratio/index.html
@@ -456,7 +456,7 @@
         
   
   <span class="md-ellipsis">
-    Different backend support with Ibis 🐦
+    Different backend support with Ibis 🪽
   </span>
   
 
diff --git a/methods/total/index.html b/methods/total/index.html
index 7d7453b..ee67b02 100644
--- a/methods/total/index.html
+++ b/methods/total/index.html
@@ -456,7 +456,7 @@
         
   
   <span class="md-ellipsis">
-    Different backend support with Ibis 🐦
+    Different backend support with Ibis 🪽
   </span>
   
 
diff --git a/search/search_index.json b/search/search_index.json
index 899cdb5..f5fd77b 100644
--- a/search/search_index.json
+++ b/search/search_index.json
@@ -1 +1 @@
-{"config":{"lang":["en"],"separator":"[\\s\\-]+","pipeline":["stopWordFilter"]},"docs":[{"location":"","title":"Welcome","text":"<p>Well met, fellow data analyst!</p> <p>If you're like me, then you're used to pesky stakeholders, who ask you why a metric changed. These kind of questions are tricky to answer confidently. It usually ends with you sharing a few other related metrics, giving some context, and providing a weak explanation. All the while hoping the stakeholder will be satisfied (or fed up) and go away \ud83d\ude2e\u200d\ud83d\udca8</p> <p>This isn't a good situation to be in. But what if you could tell exactly why a metric changed? Wouldn't that be great? \ud83e\udd29</p> <p><code>icanexplain</code> is a Python package. It provides a framework to break a metric down into drivers. It attributes the change in a metric to its drivers. Instead of just measuring the evolution of each driver, we can exactly quantify how much of the metric's evolution is due to each driver.</p> <p>The best way to understand how <code>icanexplain</code> works is to see it in action, by checking out the examples.</p> <p><code>icanexplain</code> works with pandas and Polars out of the box. Additionally, it can run against other backends (e.g. SQL) because it is implemented with Ibis. Check out this example for more information.</p> <p></p>"},{"location":"installation/","title":"Installation","text":"<pre><code>pip install icanexplain\n</code></pre>"},{"location":"examples/fashion-brand-co2e/","title":"Fashion brand CO2e emissions \ud83d\udc5f","text":"<p>Fashion brands increasingly have to be aware and report on their environmental footprint.</p> <p>The following dataset comes from a real fashion brand, and has been anomymized. Each row represents a product manufactured in a given year.</p> <pre><code>import icanexplain as ice\n\ndef fmt_CO2e(kg):\n    if abs(kg) &lt; 1e3:\n        return f'{kg:,.2f}kgCO2e'\n    return f'{kg / 1e6:,.1f}ktCO2e'\n\nproducts = ice.datasets.load_product_footprints()\nproducts.sample(5).style.format({'footprint': fmt_CO2e, 'units': '{:,d}'})\n</code></pre> year category product_id footprint units 90512 2022 TSHIRT cea26442 7.62kgCO2e 1,486 46075 2022 JACKET d17ec415 38.43kgCO2e 2,254 51849 2022 PANTS d5531c9b 41.55kgCO2e 8 12818 2021 PANTS 335f31e3 13.53kgCO2e 4 64870 2022 PANTS e5562fe8 29.16kgCO2e 576 <p>The <code>footprint</code> column indicates the product's carbon footprint in kgCO2e. The <code>units</code> column corresponds to the number of units produced.</p> <p>Companies usually report their emissions on a yearly basis. We can do this by multiplying the footprint of each product, with the number of units produced, and summing the results.</p> <pre><code>(\n    products\n    .groupby('year')\n    .apply(lambda g: (g['footprint'] * g['units']).sum() / g['units'].sum(), include_groups=False)\n    .to_frame('average')\n    .assign(diff=lambda x: x.average.diff())\n    .style.format(fmt_CO2e, na_rep='')\n)\n</code></pre> average diff year 2021 21.95kgCO2e 2022 21.71kgCO2e -0.24kgCO2e 2023 22.74kgCO2e 1.03kgCO2e <p>The average footprint went down between 2021 and 2022. It then went back up in 2023. Of course, we want to understand why. When they see this, fashion brands have one word coming out of their mouth: why, why, why?</p> <p>The overall average footprint can change for two reasons:</p> <ol> <li>The average footprint per product category evolved.</li> <li>The mix of product categories evolved.</li> </ol> <p>The second reason is called the mix effect. For instance, let's say t-shirts have a lower footprint than jackets. If the share of jackets produced in 2023 is higher than in 2022, the average footprint will go up.</p> <p>The jackets in 2023 aren't necessarily the same than those of 2022. They could be more sustainable, and have a lower footprint. This is the tricky part: we need to disentangle the mix effect from the evolution of the footprint of each product category. That is the value proposition of this package.</p> <pre><code>explainer = ice.MeanExplainer(\n    fact='footprint',\n    count='units',\n    period='year',\n    group='category',\n)\nexplanation = explainer(products)\nexplanation.style.format({'inner': fmt_CO2e, 'mix': fmt_CO2e}, na_rep='')\n</code></pre> inner mix year category 2022 DRESS 0.05kgCO2e -0.14kgCO2e JACKET -0.17kgCO2e -0.69kgCO2e PANTS 0.61kgCO2e 0.20kgCO2e SHIRT -0.02kgCO2e 0.00kgCO2e SWEATER -0.39kgCO2e -0.09kgCO2e TSHIRT 0.08kgCO2e 0.30kgCO2e 2023 DRESS -0.08kgCO2e 0.51kgCO2e JACKET -0.13kgCO2e 0.97kgCO2e PANTS -0.22kgCO2e -0.09kgCO2e SHIRT 0.02kgCO2e -0.03kgCO2e SWEATER -0.06kgCO2e 0.36kgCO2e TSHIRT -0.16kgCO2e -0.06kgCO2e <p>Here's the meaning of each column:</p> <ul> <li><code>inner</code> is the difference due to the change in the average footprint per unit. A negative inner values means the footprint per unit shifted in a way that reduced emissions. For instance, low emission products seem to have been prioritized in 2022 (-17.5ktCO2e), but not in 2023 (+73.4ktCO2e).</li> <li><code>mix</code> is the difference due to the change in the number of units produced. A negative mix value means the number of units produced shifted in a way that reduced emissions.</li> </ul> <p>A convenient way to read these values is to use a waterfall chart.</p> <pre><code>explainer.plot(products)\n</code></pre> <p>This is better than reporting the average footprint and unit produced separately. It's more informative to quantify their contribution to the change in emissions. Here it's good to confirm that the decrease in emissions is mostly due to a reduction in the number of units produced for both years. But it's also good to see that there was an increase due to the average footprint in 2023. Importantly, each one of these effects is calculated, and not just assumed.</p> <p>It's natural to want to deepen the analysis. For instance:</p> <ol> <li>Why is there a significant inner contribution for pants in 2022? Is it because the materials are less sustainable? Or because the pants got heavier?</li> <li>The reduction in 2023 is mainly due to the reduction in the number of units produced. Can this be broken down into marketing segments? For instance, is the reduction mainly driven by online or in-person sales? How does this break down by country?</li> </ol> <p>These questions hint at the interactive aspect of this kind of analysis. Once you break down a metric's evolution along a dimension, the next steps are to break down the metric (question 1) and/or include another dimension (question 2).</p> <p></p>"},{"location":"examples/ibis/","title":"Different backend support with Ibis \ud83d\udc26","text":"<p>icanexplain is implemented with Ibis. This means that it is framework agnostic, and can work with different backends. This example shows how to use it with DuckDB.</p> <pre><code>import ibis\nimport icanexplain as ice\n\nproducts_df = ice.datasets.load_product_footprints()\ncon = ibis.connect(\"duckdb://example.ddb\")\ncon.create_table(\n    \"products\", products_df, overwrite=True\n)\n</code></pre> <pre>DatabaseTable: example.main.products\n  year       int64\n  category   string\n  product_id string\n  footprint  float64\n  units      int64\n</pre> <pre><code>con = ibis.connect(\"duckdb://example.ddb\")\ncon.list_tables()\n</code></pre> <pre><code>['products']\n</code></pre> <pre><code>ibis.options.interactive = True\nproducts = con.table(\"products\")\nproducts.head()\n</code></pre> <pre>\u250f\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2513\n\u2503 year  \u2503 category \u2503 product_id \u2503 footprint \u2503 units \u2503\n\u2521\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2547\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2547\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2547\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2547\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2529\n\u2502 int64 \u2502 string   \u2502 string     \u2502 float64   \u2502 int64 \u2502\n\u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524\n\u2502  2021 \u2502 DRESS    \u2502 848be709   \u2502     96.04 \u2502   803 \u2502\n\u2502  2021 \u2502 DRESS    \u2502 658f92b3   \u2502     58.15 \u2502  3367 \u2502\n\u2502  2021 \u2502 DRESS    \u2502 3a26f323   \u2502     82.94 \u2502   240 \u2502\n\u2502  2021 \u2502 DRESS    \u2502 6221dca6   \u2502     85.94 \u2502   432 \u2502\n\u2502  2021 \u2502 DRESS    \u2502 46864ac5   \u2502     84.99 \u2502   816 \u2502\n\u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518\n</pre> <pre><code>explainer = ice.SumExplainer(\n    fact='footprint',\n    count='units',\n    group='category',\n    period='year'\n)\nexplanation = explainer(products)\nexplanation\n</code></pre> <pre>\u250f\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2513\n\u2503 year  \u2503 category \u2503 inner         \u2503 mix           \u2503\n\u2521\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2547\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2547\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2547\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2529\n\u2502 int64 \u2502 string   \u2502 float64       \u2502 float64       \u2502\n\u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524\n\u2502  2022 \u2502 DRESS    \u2502  3.931932e+06 \u2502 -1.881370e+07 \u2502\n\u2502  2022 \u2502 JACKET   \u2502 -1.510008e+07 \u2502 -9.238617e+07 \u2502\n\u2502  2022 \u2502 PANTS    \u2502  4.002506e+07 \u2502  5.295190e+07 \u2502\n\u2502  2022 \u2502 SHIRT    \u2502 -1.484809e+06 \u2502 -5.791456e+06 \u2502\n\u2502  2022 \u2502 SWEATER  \u2502 -2.676209e+07 \u2502  1.181504e+07 \u2502\n\u2502  2022 \u2502 TSHIRT   \u2502  6.650940e+06 \u2502 -2.311836e+07 \u2502\n\u2502  2023 \u2502 DRESS    \u2502 -4.078094e+06 \u2502 -1.240339e+07 \u2502\n\u2502  2023 \u2502 JACKET   \u2502 -6.793317e+06 \u2502 -4.924036e+07 \u2502\n\u2502  2023 \u2502 PANTS    \u2502 -1.636299e+07 \u2502 -2.295608e+08 \u2502\n\u2502  2023 \u2502 SHIRT    \u2502  8.920908e+05 \u2502 -4.019144e+06 \u2502\n\u2502     \u2026 \u2502 \u2026        \u2502             \u2026 \u2502             \u2026 \u2502\n\u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518\n</pre> <pre><code>type(explanation)\n</code></pre> <pre><code>ibis.expr.types.relations.Table\n</code></pre> <pre><code>explanation.execute()\n</code></pre> year category inner mix 0 2022 DRESS 3.931932e+06 -1.881370e+07 1 2022 JACKET -1.510008e+07 -9.238617e+07 2 2022 PANTS 4.002506e+07 5.295190e+07 3 2022 SHIRT -1.484809e+06 -5.791456e+06 4 2022 SWEATER -2.676209e+07 1.181504e+07 5 2022 TSHIRT 6.650940e+06 -2.311836e+07 6 2023 DRESS -4.078094e+06 -1.240339e+07 7 2023 JACKET -6.793317e+06 -4.924036e+07 8 2023 PANTS -1.636299e+07 -2.295608e+08 9 2023 SHIRT 8.920908e+05 -4.019144e+06 10 2023 SWEATER -5.701391e+06 -1.130507e+08 11 2023 TSHIRT -1.150391e+07 -8.391323e+07 <pre><code>ibis.to_sql(explanation)\n</code></pre> <pre><code>SELECT\n  *\nFROM (\n  SELECT\n    \"t9\".\"year\",\n    \"t9\".\"category\",\n    \"t9\".\"count_lag\" * (\n      \"t9\".\"mean\" - \"t9\".\"mean_lag\"\n    ) AS \"inner\",\n    (\n      \"t9\".\"count\" - \"t9\".\"count_lag\"\n    ) * \"t9\".\"mean\" AS \"mix\"\n  FROM (\n    SELECT\n      \"t8\".\"category\",\n      \"t8\".\"year\",\n      \"t8\".\"mean\",\n      \"t8\".\"count\",\n      LAG(\"t8\".\"mean\", 1) OVER (PARTITION BY \"t8\".\"category\" ORDER BY \"t8\".\"year\" ASC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS \"mean_lag\",\n      LAG(\"t8\".\"count\", 1) OVER (PARTITION BY \"t8\".\"category\" ORDER BY \"t8\".\"year\" ASC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS \"count_lag\"\n    FROM (\n      SELECT\n        \"t7\".\"category\",\n        \"t7\".\"year\",\n        COALESCE(\"t7\".\"mean\", 0) AS \"mean\",\n        COALESCE(\"t7\".\"count\", 0) AS \"count\"\n      FROM (\n        SELECT\n          \"t3\".\"category\",\n          \"t4\".\"year\",\n          \"t6\".\"mean\",\n          \"t6\".\"count\"\n        FROM (\n          SELECT DISTINCT\n            \"t0\".\"category\"\n          FROM \"products\" AS \"t0\"\n        ) AS \"t3\"\n        CROSS JOIN (\n          SELECT DISTINCT\n            \"t0\".\"year\"\n          FROM \"products\" AS \"t0\"\n        ) AS \"t4\"\n        LEFT OUTER JOIN (\n          SELECT\n            \"t0\".\"category\",\n            \"t0\".\"year\",\n            SUM(\"t0\".\"footprint\" * \"t0\".\"units\") / SUM(\"t0\".\"units\") AS \"mean\",\n            SUM(\"t0\".\"units\") AS \"count\"\n          FROM \"products\" AS \"t0\"\n          GROUP BY\n            1,\n            2\n        ) AS \"t6\"\n          ON \"t3\".\"category\" = \"t6\".\"category\" AND \"t4\".\"year\" = \"t6\".\"year\"\n      ) AS \"t7\"\n    ) AS \"t8\"\n  ) AS \"t9\"\n  ORDER BY\n    \"t9\".\"year\" ASC,\n    \"t9\".\"category\" ASC\n) AS \"t10\"\nWHERE\n  \"t10\".\"year\" IS NOT NULL\n  AND \"t10\".\"category\" IS NOT NULL\n  AND \"t10\".\"inner\" IS NOT NULL\n  AND \"t10\".\"mix\" IS NOT NULL\n</code></pre>"},{"location":"examples/iowa-whiskey-sales/","title":"Iowa whiskey sales \ud83e\udd43","text":"<p>Let's look at whiskey sales in Iowa. This is a subset of the data from the Iowa Liquor Sales dataset.</p> <pre><code>import icanexplain as ice\n\nsales = ice.datasets.load_iowa_whiskey_sales()\nsales.head().style.format()\n</code></pre> date category vendor sales_amount price_per_bottle bottles_sold bottle_volume_ml year 0 2012-06-04 CANADIAN WHISKIES CONSTELLATION WINE COMPANY, INC. 94.020000 15.670000 6 1750 2012 1 2016-01-05 STRAIGHT BOURBON WHISKIES CAMPARI(SKYY) 18.760000 9.380000 2 375 2016 2 2016-05-25 CANADIAN WHISKIES DIAGEO AMERICAS 11.030000 11.030000 1 300 2016 3 2016-01-20 CANADIAN WHISKIES PHILLIPS BEVERAGE COMPANY 33.840000 11.280000 3 750 2016 4 2012-03-19 CANADIAN WHISKIES CONSTELLATION WINE COMPANY, INC. 94.020000 15.670000 6 1750 2012 <p>The <code>sales_amount</code> column represents the bill a customer payed for a given transaction. We can sum it and group by year to see how the total sales amount evolves over time.</p> <pre><code>import locale\n\nlocale.setlocale(locale.LC_MONETARY, 'en_US.UTF-8')\ndef fmt_currency(x):\n    return locale.currency(x, grouping=True)\n\n(\n    sales.groupby('year')['sales_amount']\n    .sum()\n    .to_frame()\n    .assign(diff=lambda x: x.diff())\n    .style.format(lambda x: fmt_currency(x) if x &gt; 0 else '')\n)\n</code></pre> sales_amount diff year 2012 $1,842,098.86 2016 $2,298,505.88 $456,407.02 2020 $3,378,164.43 $1,079,658.55 <p>Ok, but why? Well, we can use icanexplain to break down the evolution into two effects:</p> <ol> <li>The inner effect: how much the average transaction value changed.</li> <li>The mix effect: how much the number of transations changed.</li> </ol> <pre><code>import icanexplain as ice\n\nexplainer = ice.SumExplainer(\n    fact='sales_amount',\n    period='year',\n    group='category'\n)\nexplanation = explainer(sales)\n(\n    explanation.style\n    .format(lambda x: fmt_currency(x) if x &gt; 0 else '$0')\n    .set_properties(**{'text-align': 'right'})\n)\n</code></pre> inner mix year category 2016 BLENDED WHISKIES $17,854.43 $7,356.77 CANADIAN WHISKIES $0 $225,902.66 CORN WHISKIES $0 $4,113.90 IRISH WHISKIES $22,144.48 $75,122.83 SCOTCH WHISKIES $19,591.97 $0 SINGLE BARREL BOURBON WHISKIES $1,852.03 $6,375.43 STRAIGHT BOURBON WHISKIES $107,144.93 $97,934.50 STRAIGHT RYE WHISKIES $0 $0 2020 BLENDED WHISKIES $83,342.60 $59,768.58 CANADIAN WHISKIES $224,022.62 $149,363.35 CORN WHISKIES $1,517.48 $1,453.26 IRISH WHISKIES $0 $67,344.41 SCOTCH WHISKIES $19,840.48 $0 SINGLE BARREL BOURBON WHISKIES $11,958.32 $3,819.27 STRAIGHT BOURBON WHISKIES $167,864.46 $268,064.74 STRAIGHT RYE WHISKIES $0 $64,056.43 <p>For instance, we see that the average transation amount for blended whiskies contributed to an $17,854 increase in sales from 2012 to 2016. This is the inner effect. The mix effect for blended whiskies, on the other hand, contributed to a $7,356 increase in sales.</p> <p>Here's another example: the mix effect of Canadian whiskies is $225,902. This value, the mix effect, represents the increase due to the number of extra sales for Canadian whiskies. The inner effect, on the other hand, is $0. This means that the average transaction value for Canadian whiskies did not change between 2012 and 2016, and therefore didn't contribute to the increase in sales.</p> <p>A visual way to look interpret the above table is to use a waterfall chart. The idea is that the contributions sum to the difference between two periods. In this case, the difference in sales from 2012 to 2016 is $456,407. The waterfall chart shows how the inner and mix effects contributed to this difference.</p> <pre><code>explainer.plot(sales)\n</code></pre>"},{"location":"examples/simple-revenue-funnel/","title":"Simple revenue funnel \ud83d\uded2","text":"<p>We look at a toy website funnel in this example. Imagine a fictitious website that sells stuff. Users go to the website, are presented with items, can add them to their cart, and then can buy them.</p> <pre><code>import pandas as pd\nimport locale\n\nlocale.setlocale(locale.LC_MONETARY, 'en_US.UTF-8')\ndef fmt_currency(x):\n    return locale.currency(x, grouping=True)\n\ntraffic = pd.DataFrame({\n    'date': ['2018-01-01', '2018-01-01', '2018-01-01', '2019-01-01', '2019-01-01', '2019-01-01', '2018-02-01', '2018-02-01', '2018-02-01', '2019-02-01', '2019-02-01', '2019-02-01'],\n    'group': ['A', 'B', 'C', 'A', 'B', 'C', 'A', 'B', 'C', 'A', 'B', 'C'],\n    'impressions': [1000, 2000, 2500, 1000, 2150, 2000, 50, 2000, 2500, 2500, 2150, 2000],\n    'clicks': [150, 150, 250, 120, 200, 400, 20, 300, 250, 1000, 323, 320],\n    'conversions': [120, 150, 125, 160, 145, 166, 10, 150, 125, 500, 145, 166],\n    'revenue': ['$8,600', '$9,400', '$10,750', '$9,055', '$8,739', '$10,147', '$500', '$11,400', '$8,750', '$50,000', '$10,739', '$12,147'],\n})\ntraffic['date'] = pd.to_datetime(traffic['date'])\ntraffic['revenue'] = traffic['revenue'].str.replace('$', '', regex=False).str.replace(',', '', regex=False).astype(float)\ntraffic.style.format({'revenue': fmt_currency, 'date': lambda x: x.strftime('%Y-%m-%d')}, na_rep='N/A')\n</code></pre> date group impressions clicks conversions revenue 0 2018-01-01 A 1000 150 120 $8,600.00 1 2018-01-01 B 2000 150 150 $9,400.00 2 2018-01-01 C 2500 250 125 $10,750.00 3 2019-01-01 A 1000 120 160 $9,055.00 4 2019-01-01 B 2150 200 145 $8,739.00 5 2019-01-01 C 2000 400 166 $10,147.00 6 2018-02-01 A 50 20 10 $500.00 7 2018-02-01 B 2000 300 150 $11,400.00 8 2018-02-01 C 2500 250 125 $8,750.00 9 2019-02-01 A 2500 1000 500 $50,000.00 10 2019-02-01 B 2150 323 145 $10,739.00 11 2019-02-01 C 2000 320 166 $12,147.00 <p>The users are bucketed into 3 groups: A, B, C. We've also bucketed impressions/clicks/conversions/revenue figures by month of the year.</p> <p>We're interested in understanding how the metrics evolve over time. The basic method is to calculate each metric separately. To keep things simple, we can do this for each year.</p> <pre><code>pd.DataFrame({\n    'impressions': (\n        traffic\n        .assign(year=traffic.date.dt.year)\n        .groupby('year')\n        .impressions.sum()\n    ),\n    'click_rate': (\n        traffic\n        .assign(year=traffic.date.dt.year)\n        .groupby('year')\n        .apply(lambda x: x.clicks.sum() / x.impressions.sum(), include_groups=False)\n    ),\n    'conversion_rate': (\n        traffic\n        .assign(year=traffic.date.dt.year)\n        .groupby('year')\n        .apply(lambda x: x.conversions.sum() / x.clicks.sum(), include_groups=False)\n    ),\n    'average_spend': (\n        traffic\n        .assign(year=traffic.date.dt.year)\n        .groupby('year')\n        .apply(lambda x: x.revenue.sum() / x.conversions.sum(), include_groups=False)\n    ),\n    'revenue': (\n        traffic\n        .assign(year=traffic.date.dt.year)\n        .groupby('year')\n        .revenue.sum()\n    )\n}).style.format({'average_spend': fmt_currency, 'revenue': fmt_currency}, na_rep='')\n</code></pre> impressions click_rate conversion_rate average_spend revenue year 2018 10050 0.111443 0.607143 $72.65 $49,400.00 2019 11800 0.200254 0.542531 $78.65 $100,827.00 <p>In and of itself, this is already quite interesting. However, what we really want to know is how the change of each metric contributes to the change in revenue. This is where icanexplain comes in.</p> <pre><code>import icanexplain as ice\n\nexplainer = ice.FunnelExplainer(\n    funnel=['impressions', 'clicks', 'conversions', 'revenue'],\n    period='year',\n    group=['month', 'group']\n)\ntraffic = traffic.assign(\n    month=traffic.date.dt.month,\n    year=traffic.date.dt.year\n)\nexplanation = explainer(traffic)\nexplanation.style.format(fmt_currency).set_properties(**{'text-align': 'right'})\n</code></pre> impressions_contribution clicks_over_impressions_contribution conversions_over_clicks_contribution revenue_over_conversions_contribution year month group 2019 1 A $0.00 -$1,720.00 $4,586.67 -$2,411.67 B $705.00 $2,428.33 -$3,446.67 -$347.67 C -$2,150.00 $8,600.00 -$2,924.00 -$4,129.00 2 A $24,500.00 $0.00 $0.00 $25,000.00 B $855.00 $19.00 -$1,254.00 -$281.00 C -$1,750.00 $4,200.00 $420.00 $527.00 <p>This is powerful, because it allows us to understand the drivers of revenue growth. For example, between January 2018 and January 2019, revenue went up by $8,600 due an increase in clicks for group C. This is more insightful than just saying that their click rate went up.</p> <p>One thing to keep in mind is that contributions sum up to the overall difference between two periods. This means that it's easy to unit test that the contributions are correct:</p> <pre><code>(\n    explanation\n    .groupby('year').sum().sum(axis=1)\n    .to_frame('sum')\n    .style.format(fmt_currency)\n)\n</code></pre> sum year 2019 $51,427.00 <p>Of course, it would be more interesting to apply this methodology to some real data. One example is the Google Analytics dataset sample which is publicly available in BigQuery. </p>"},{"location":"methods/funnel/","title":"Funnel decomposition","text":"<pre><code># Funnel\n</code></pre>"},{"location":"methods/ratio/","title":"Ratio decomposition","text":""},{"location":"methods/total/","title":"Total decomposition","text":"\\[ \\sum_{i=1}^n \\frac{1}{2} \\]"},{"location":"theme/","title":"Kilsbergen","text":"<p>A clean MkDocs theme.</p> <p>This theme is designed for Tako, Pris, and Noblit. It is not flexible on purpose: it supports everything I need, and nothing more.</p>"},{"location":"theme/#demos","title":"Demos","text":"<ul> <li>Musium documentation</li> <li>Noblit documentation</li> <li>Pris documentation</li> <li>RCL documentation</li> <li>Squiller documentation</li> <li>Tako documentation</li> </ul>"},{"location":"theme/#features","title":"Features","text":"<ul> <li>Responsive design</li> <li>Zero javascript</li> </ul>"},{"location":"theme/#usage","title":"Usage","text":"<p>One easy way to use this theme, is to add it as a Git submodule to your <code>docs</code> directory, e.g. at <code>docs/theme</code>. Then add the following in your <code>mkdocs.yml</code>:</p> <pre><code>theme:\n  name: null\n  custom_dir: docs/theme\n</code></pre> <p>This theme requires MkDocs 1.1 or later. For earlier versions, delete this <code>README.md</code> to work around this bug.</p> <p>To enable anchors next to section headings, add the following to your <code>mkdocs.yml</code>:</p> <pre><code>markdown_extensions:\n  - toc:\n      permalink: true\n      permalink_title: null\n</code></pre> <p>To enable syntax highlighting, ensure that <code>pygmentize</code> is available, and add the following to your <code>mkdocs.yml</code>:</p> <pre><code>markdown_extensions:\n  - codehilite\n</code></pre> <p>See also the python-markdown list of extensions.</p>"},{"location":"theme/#license","title":"License","text":"<p>Kilsbergen is licensed under the Apache 2.0 license. In the generated documentation, it is fine to just link to this readme from a comment.</p>"}]}
\ No newline at end of file
+{"config":{"lang":["en"],"separator":"[\\s\\-]+","pipeline":["stopWordFilter"]},"docs":[{"location":"","title":"Welcome","text":"<p>Well met, fellow data analyst!</p> <p>If you're like me, then you're used to pesky stakeholders, who ask you why a metric changed. These kind of questions are tricky to answer confidently. It usually ends with you sharing a few other related metrics, giving some context, and providing a weak explanation. All the while hoping the stakeholder will be satisfied (or fed up) and go away \ud83d\ude2e\u200d\ud83d\udca8</p> <p>This isn't a good situation to be in. But what if you could tell exactly why a metric changed? Wouldn't that be great? \ud83e\udd29</p> <p><code>icanexplain</code> is a Python package. It provides a framework to break a metric down into drivers. It attributes the change in a metric to its drivers. Instead of just measuring the evolution of each driver, we can exactly quantify how much of the metric's evolution is due to each driver.</p> <p>The best way to understand how <code>icanexplain</code> works is to see it in action, by checking out the examples.</p> <p><code>icanexplain</code> works with pandas and Polars out of the box. Additionally, it can run against other backends (e.g. SQL) because it is implemented with Ibis. Check out this example for more information.</p> <p></p>"},{"location":"installation/","title":"Installation","text":"<pre><code>pip install icanexplain\n</code></pre>"},{"location":"examples/fashion-brand-co2e/","title":"Fashion brand CO2e emissions \ud83d\udc5f","text":"<p>Fashion brands increasingly have to be aware and report on their environmental footprint.</p> <p>The following dataset comes from a real fashion brand, and has been anomymized. Each row represents a product manufactured in a given year.</p> <pre><code>import icanexplain as ice\n\ndef fmt_CO2e(kg):\n    if abs(kg) &lt; 1e3:\n        return f'{kg:,.2f}kgCO2e'\n    return f'{kg / 1e6:,.1f}ktCO2e'\n\nproducts = ice.datasets.load_product_footprints()\nproducts.sample(5).style.format({'footprint': fmt_CO2e, 'units': '{:,d}'})\n</code></pre> year category product_id footprint units 79622 2022 PANTS 0c7938bf 13.38kgCO2e 105 23575 2021 PANTS 7693f75b 36.50kgCO2e 41 113417 2023 PANTS c5c54140 26.89kgCO2e 288 67791 2022 PANTS aed08558 106.76kgCO2e 301 49045 2022 PANTS a1cf7d5c 35.67kgCO2e 925 <p>The <code>footprint</code> column indicates the product's carbon footprint in kgCO2e. The <code>units</code> column corresponds to the number of units produced.</p> <p>Companies usually report their emissions on a yearly basis. We can do this by multiplying the footprint of each product, with the number of units produced, and summing the results.</p> <pre><code>(\n    products\n    .groupby('year')\n    .apply(lambda g: (g['footprint'] * g['units']).sum() / g['units'].sum(), include_groups=False)\n    .to_frame('average')\n    .assign(diff=lambda x: x.average.diff())\n    .style.format(fmt_CO2e, na_rep='')\n)\n</code></pre> average diff year 2021 21.95kgCO2e 2022 21.71kgCO2e -0.24kgCO2e 2023 22.74kgCO2e 1.03kgCO2e <p>The average footprint went down between 2021 and 2022. It then went back up in 2023. Of course, we want to understand why. When they see this, fashion brands have one word coming out of their mouth: why, why, why?</p> <p>The overall average footprint can change for two reasons:</p> <ol> <li>The average footprint per product category evolved.</li> <li>The mix of product categories evolved.</li> </ol> <p>The second reason is called the mix effect. For instance, let's say t-shirts have a lower footprint than jackets. If the share of jackets produced in 2023 is higher than in 2022, the average footprint will go up.</p> <p>The jackets in 2023 aren't necessarily the same than those of 2022. They could be more sustainable, and have a lower footprint. This is the tricky part: we need to disentangle the mix effect from the evolution of the footprint of each product category. That is the value proposition of this package.</p> <pre><code>explainer = ice.MeanExplainer(\n    fact='footprint',\n    count='units',\n    period='year',\n    group='category',\n)\nexplanation = explainer(products)\nexplanation.style.format({'inner': fmt_CO2e, 'mix': fmt_CO2e}, na_rep='')\n</code></pre> inner mix year category 2022 DRESS 0.05kgCO2e -0.14kgCO2e JACKET -0.17kgCO2e -0.69kgCO2e PANTS 0.61kgCO2e 0.20kgCO2e SHIRT -0.02kgCO2e 0.00kgCO2e SWEATER -0.39kgCO2e -0.09kgCO2e TSHIRT 0.08kgCO2e 0.30kgCO2e 2023 DRESS -0.08kgCO2e 0.51kgCO2e JACKET -0.13kgCO2e 0.97kgCO2e PANTS -0.22kgCO2e -0.09kgCO2e SHIRT 0.02kgCO2e -0.03kgCO2e SWEATER -0.06kgCO2e 0.36kgCO2e TSHIRT -0.16kgCO2e -0.06kgCO2e <p>Here's the meaning of each column:</p> <ul> <li><code>inner</code> is the difference due to the change in the average footprint per unit. A negative inner values means the footprint per unit shifted in a way that reduced emissions. For instance, low emission products seem to have been prioritized in 2022 (-17.5ktCO2e), but not in 2023 (+73.4ktCO2e).</li> <li><code>mix</code> is the difference due to the change in the number of units produced. A negative mix value means the number of units produced shifted in a way that reduced emissions.</li> </ul> <p>A convenient way to read these values is to use a waterfall chart.</p> <pre><code>explainer.plot(products)\n</code></pre> <p>This is better than reporting the average footprint and unit produced separately. It's more informative to quantify their contribution to the change in emissions. Here it's good to confirm that the decrease in emissions is mostly due to a reduction in the number of units produced for both years. But it's also good to see that there was an increase due to the average footprint in 2023. Importantly, each one of these effects is calculated, and not just assumed.</p> <p>It's natural to want to deepen the analysis. For instance:</p> <ol> <li>Why is there a significant inner contribution for pants in 2022? Is it because the materials are less sustainable? Or because the pants got heavier?</li> <li>The reduction in 2023 is mainly due to the reduction in the number of units produced. Can this be broken down into marketing segments? For instance, is the reduction mainly driven by online or in-person sales? How does this break down by country?</li> </ol> <p>These questions hint at the interactive aspect of this kind of analysis. Once you break down a metric's evolution along a dimension, the next steps are to break down the metric (question 1) and/or include another dimension (question 2).</p> <p></p>"},{"location":"examples/ibis/","title":"Different backend support with Ibis \ud83e\udebd","text":"<p>icanexplain is implemented with Ibis. This means that it is framework agnostic, and can work with different backends. This example shows how to use it with DuckDB.</p> <pre><code>import ibis\nimport icanexplain as ice\n\nproducts_df = ice.datasets.load_product_footprints()\ncon = ibis.connect(\"duckdb://example.ddb\")\ncon.create_table(\n    \"products\", products_df, overwrite=True\n)\n</code></pre> <pre>DatabaseTable: example.main.products\n  year       int64\n  category   string\n  product_id string\n  footprint  float64\n  units      int64\n</pre> <pre><code>con = ibis.connect(\"duckdb://example.ddb\")\ncon.list_tables()\n</code></pre> <pre><code>['products']\n</code></pre> <pre><code>ibis.options.interactive = True\nproducts = con.table(\"products\")\nproducts.head()\n</code></pre> <pre>\u250f\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2513\n\u2503 year  \u2503 category \u2503 product_id \u2503 footprint \u2503 units \u2503\n\u2521\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2547\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2547\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2547\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2547\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2529\n\u2502 int64 \u2502 string   \u2502 string     \u2502 float64   \u2502 int64 \u2502\n\u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524\n\u2502  2021 \u2502 DRESS    \u2502 848be709   \u2502     96.04 \u2502   803 \u2502\n\u2502  2021 \u2502 DRESS    \u2502 658f92b3   \u2502     58.15 \u2502  3367 \u2502\n\u2502  2021 \u2502 DRESS    \u2502 3a26f323   \u2502     82.94 \u2502   240 \u2502\n\u2502  2021 \u2502 DRESS    \u2502 6221dca6   \u2502     85.94 \u2502   432 \u2502\n\u2502  2021 \u2502 DRESS    \u2502 46864ac5   \u2502     84.99 \u2502   816 \u2502\n\u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518\n</pre> <pre><code>explainer = ice.SumExplainer(\n    fact='footprint',\n    count='units',\n    group='category',\n    period='year'\n)\nexplanation = explainer(products)\nexplanation\n</code></pre> <pre>\u250f\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2513\n\u2503 year  \u2503 category \u2503 inner         \u2503 mix           \u2503\n\u2521\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2547\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2547\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2547\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2529\n\u2502 int64 \u2502 string   \u2502 float64       \u2502 float64       \u2502\n\u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524\n\u2502  2022 \u2502 DRESS    \u2502  3.931932e+06 \u2502 -1.881370e+07 \u2502\n\u2502  2022 \u2502 JACKET   \u2502 -1.510008e+07 \u2502 -9.238617e+07 \u2502\n\u2502  2022 \u2502 PANTS    \u2502  4.002506e+07 \u2502  5.295190e+07 \u2502\n\u2502  2022 \u2502 SHIRT    \u2502 -1.484809e+06 \u2502 -5.791456e+06 \u2502\n\u2502  2022 \u2502 SWEATER  \u2502 -2.676209e+07 \u2502  1.181504e+07 \u2502\n\u2502  2022 \u2502 TSHIRT   \u2502  6.650940e+06 \u2502 -2.311836e+07 \u2502\n\u2502  2023 \u2502 DRESS    \u2502 -4.078094e+06 \u2502 -1.240339e+07 \u2502\n\u2502  2023 \u2502 JACKET   \u2502 -6.793317e+06 \u2502 -4.924036e+07 \u2502\n\u2502  2023 \u2502 PANTS    \u2502 -1.636299e+07 \u2502 -2.295608e+08 \u2502\n\u2502  2023 \u2502 SHIRT    \u2502  8.920908e+05 \u2502 -4.019144e+06 \u2502\n\u2502     \u2026 \u2502 \u2026        \u2502             \u2026 \u2502             \u2026 \u2502\n\u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518\n</pre> <pre><code>type(explanation)\n</code></pre> <pre><code>ibis.expr.types.relations.Table\n</code></pre> <pre><code>explanation.execute().style.format()\n</code></pre> year category inner mix 0 2022 DRESS 3931932.447552 -18813695.617552 1 2022 JACKET -15100081.026506 -92386166.203493 2 2022 PANTS 40025058.515251 52951900.074743 3 2022 SHIRT -1484809.008950 -5791455.871050 4 2022 SWEATER -26762091.196715 11815043.806715 5 2022 TSHIRT 6650940.137541 -23118359.127541 6 2023 DRESS -4078094.357618 -12403387.412381 7 2023 JACKET -6793316.568952 -49240364.221049 8 2023 PANTS -16362993.150075 -229560842.809919 9 2023 SHIRT 892090.812023 -4019143.772023 10 2023 SWEATER -5701391.450394 -113050731.029606 11 2023 TSHIRT -11503906.840478 -83913226.849522 <pre><code>ibis.to_sql(explanation)\n</code></pre> <pre><code>SELECT\n  *\nFROM (\n  SELECT\n    \"t9\".\"year\",\n    \"t9\".\"category\",\n    \"t9\".\"count_lag\" * (\n      \"t9\".\"mean\" - \"t9\".\"mean_lag\"\n    ) AS \"inner\",\n    (\n      \"t9\".\"count\" - \"t9\".\"count_lag\"\n    ) * \"t9\".\"mean\" AS \"mix\"\n  FROM (\n    SELECT\n      \"t8\".\"category\",\n      \"t8\".\"year\",\n      \"t8\".\"mean\",\n      \"t8\".\"count\",\n      LAG(\"t8\".\"mean\", 1) OVER (PARTITION BY \"t8\".\"category\" ORDER BY \"t8\".\"year\" ASC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS \"mean_lag\",\n      LAG(\"t8\".\"count\", 1) OVER (PARTITION BY \"t8\".\"category\" ORDER BY \"t8\".\"year\" ASC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS \"count_lag\"\n    FROM (\n      SELECT\n        \"t7\".\"category\",\n        \"t7\".\"year\",\n        COALESCE(\"t7\".\"mean\", 0) AS \"mean\",\n        COALESCE(\"t7\".\"count\", 0) AS \"count\"\n      FROM (\n        SELECT\n          \"t3\".\"category\",\n          \"t4\".\"year\",\n          \"t6\".\"mean\",\n          \"t6\".\"count\"\n        FROM (\n          SELECT DISTINCT\n            \"t0\".\"category\"\n          FROM \"products\" AS \"t0\"\n        ) AS \"t3\"\n        CROSS JOIN (\n          SELECT DISTINCT\n            \"t0\".\"year\"\n          FROM \"products\" AS \"t0\"\n        ) AS \"t4\"\n        LEFT OUTER JOIN (\n          SELECT\n            \"t0\".\"category\",\n            \"t0\".\"year\",\n            SUM(\"t0\".\"footprint\" * \"t0\".\"units\") / SUM(\"t0\".\"units\") AS \"mean\",\n            SUM(\"t0\".\"units\") AS \"count\"\n          FROM \"products\" AS \"t0\"\n          GROUP BY\n            1,\n            2\n        ) AS \"t6\"\n          ON \"t3\".\"category\" = \"t6\".\"category\" AND \"t4\".\"year\" = \"t6\".\"year\"\n      ) AS \"t7\"\n    ) AS \"t8\"\n  ) AS \"t9\"\n  ORDER BY\n    \"t9\".\"year\" ASC,\n    \"t9\".\"category\" ASC\n) AS \"t10\"\nWHERE\n  \"t10\".\"year\" IS NOT NULL\n  AND \"t10\".\"category\" IS NOT NULL\n  AND \"t10\".\"inner\" IS NOT NULL\n  AND \"t10\".\"mix\" IS NOT NULL\n</code></pre>"},{"location":"examples/iowa-whiskey-sales/","title":"Iowa whiskey sales \ud83e\udd43","text":"<p>Let's look at whiskey sales in Iowa. This is a subset of the data from the Iowa Liquor Sales dataset.</p> <pre><code>import icanexplain as ice\n\nsales = ice.datasets.load_iowa_whiskey_sales()\nsales.head().style.format()\n</code></pre> date category vendor sales_amount price_per_bottle bottles_sold bottle_volume_ml year 0 2012-06-04 CANADIAN WHISKIES CONSTELLATION WINE COMPANY, INC. 94.020000 15.670000 6 1750 2012 1 2016-01-05 STRAIGHT BOURBON WHISKIES CAMPARI(SKYY) 18.760000 9.380000 2 375 2016 2 2016-05-25 CANADIAN WHISKIES DIAGEO AMERICAS 11.030000 11.030000 1 300 2016 3 2016-01-20 CANADIAN WHISKIES PHILLIPS BEVERAGE COMPANY 33.840000 11.280000 3 750 2016 4 2012-03-19 CANADIAN WHISKIES CONSTELLATION WINE COMPANY, INC. 94.020000 15.670000 6 1750 2012 <p>The <code>sales_amount</code> column represents the bill a customer payed for a given transaction. We can sum it and group by year to see how the total sales amount evolves over time.</p> <pre><code>import locale\n\nlocale.setlocale(locale.LC_MONETARY, 'en_US.UTF-8')\ndef fmt_currency(x):\n    return locale.currency(x, grouping=True)\n\n(\n    sales.groupby('year')['sales_amount']\n    .sum()\n    .to_frame()\n    .assign(diff=lambda x: x.diff())\n    .style.format(lambda x: fmt_currency(x) if x &gt; 0 else '')\n)\n</code></pre> sales_amount diff year 2012 $1,842,098.86 2016 $2,298,505.88 $456,407.02 2020 $3,378,164.43 $1,079,658.55 <p>Ok, but why? Well, we can use icanexplain to break down the evolution into two effects:</p> <ol> <li>The inner effect: how much the average transaction value changed.</li> <li>The mix effect: how much the number of transations changed.</li> </ol> <pre><code>import icanexplain as ice\n\nexplainer = ice.SumExplainer(\n    fact='sales_amount',\n    period='year',\n    group='category'\n)\nexplanation = explainer(sales)\n(\n    explanation.style\n    .format(lambda x: fmt_currency(x) if x &gt; 0 else '$0')\n    .set_properties(**{'text-align': 'right'})\n)\n</code></pre> inner mix year category 2016 BLENDED WHISKIES $17,854.43 $7,356.77 CANADIAN WHISKIES $0 $225,902.66 CORN WHISKIES $0 $4,113.90 IRISH WHISKIES $22,144.48 $75,122.83 SCOTCH WHISKIES $19,591.97 $0 SINGLE BARREL BOURBON WHISKIES $1,852.03 $6,375.43 STRAIGHT BOURBON WHISKIES $107,144.93 $97,934.50 STRAIGHT RYE WHISKIES $0 $0 2020 BLENDED WHISKIES $83,342.60 $59,768.58 CANADIAN WHISKIES $224,022.62 $149,363.35 CORN WHISKIES $1,517.48 $1,453.26 IRISH WHISKIES $0 $67,344.41 SCOTCH WHISKIES $19,840.48 $0 SINGLE BARREL BOURBON WHISKIES $11,958.32 $3,819.27 STRAIGHT BOURBON WHISKIES $167,864.46 $268,064.74 STRAIGHT RYE WHISKIES $0 $64,056.43 <p>For instance, we see that the average transation amount for blended whiskies contributed to an $17,854 increase in sales from 2012 to 2016. This is the inner effect. The mix effect for blended whiskies, on the other hand, contributed to a $7,356 increase in sales.</p> <p>Here's another example: the mix effect of Canadian whiskies is $225,902. This value, the mix effect, represents the increase due to the number of extra sales for Canadian whiskies. The inner effect, on the other hand, is $0. This means that the average transaction value for Canadian whiskies did not change between 2012 and 2016, and therefore didn't contribute to the increase in sales.</p> <p>A visual way to look interpret the above table is to use a waterfall chart. The idea is that the contributions sum to the difference between two periods. In this case, the difference in sales from 2012 to 2016 is $456,407. The waterfall chart shows how the inner and mix effects contributed to this difference.</p> <pre><code>explainer.plot(sales)\n</code></pre>"},{"location":"examples/simple-revenue-funnel/","title":"Simple revenue funnel \ud83d\uded2","text":"<p>We look at a toy website funnel in this example. Imagine a fictitious website that sells stuff. Users go to the website, are presented with items, can add them to their cart, and then can buy them.</p> <pre><code>import pandas as pd\nimport locale\n\nlocale.setlocale(locale.LC_MONETARY, 'en_US.UTF-8')\ndef fmt_currency(x):\n    return locale.currency(x, grouping=True)\n\ntraffic = pd.DataFrame({\n    'date': ['2018-01-01', '2018-01-01', '2018-01-01', '2019-01-01', '2019-01-01', '2019-01-01', '2018-02-01', '2018-02-01', '2018-02-01', '2019-02-01', '2019-02-01', '2019-02-01'],\n    'group': ['A', 'B', 'C', 'A', 'B', 'C', 'A', 'B', 'C', 'A', 'B', 'C'],\n    'impressions': [1000, 2000, 2500, 1000, 2150, 2000, 50, 2000, 2500, 2500, 2150, 2000],\n    'clicks': [150, 150, 250, 120, 200, 400, 20, 300, 250, 1000, 323, 320],\n    'conversions': [120, 150, 125, 160, 145, 166, 10, 150, 125, 500, 145, 166],\n    'revenue': ['$8,600', '$9,400', '$10,750', '$9,055', '$8,739', '$10,147', '$500', '$11,400', '$8,750', '$50,000', '$10,739', '$12,147'],\n})\ntraffic['date'] = pd.to_datetime(traffic['date'])\ntraffic['revenue'] = traffic['revenue'].str.replace('$', '', regex=False).str.replace(',', '', regex=False).astype(float)\ntraffic.style.format({'revenue': fmt_currency, 'date': lambda x: x.strftime('%Y-%m-%d')}, na_rep='N/A')\n</code></pre> date group impressions clicks conversions revenue 0 2018-01-01 A 1000 150 120 $8,600.00 1 2018-01-01 B 2000 150 150 $9,400.00 2 2018-01-01 C 2500 250 125 $10,750.00 3 2019-01-01 A 1000 120 160 $9,055.00 4 2019-01-01 B 2150 200 145 $8,739.00 5 2019-01-01 C 2000 400 166 $10,147.00 6 2018-02-01 A 50 20 10 $500.00 7 2018-02-01 B 2000 300 150 $11,400.00 8 2018-02-01 C 2500 250 125 $8,750.00 9 2019-02-01 A 2500 1000 500 $50,000.00 10 2019-02-01 B 2150 323 145 $10,739.00 11 2019-02-01 C 2000 320 166 $12,147.00 <p>The users are bucketed into 3 groups: A, B, C. We've also bucketed impressions/clicks/conversions/revenue figures by month of the year.</p> <p>We're interested in understanding how the metrics evolve over time. The basic method is to calculate each metric separately. To keep things simple, we can do this for each year.</p> <pre><code>pd.DataFrame({\n    'impressions': (\n        traffic\n        .assign(year=traffic.date.dt.year)\n        .groupby('year')\n        .impressions.sum()\n    ),\n    'click_rate': (\n        traffic\n        .assign(year=traffic.date.dt.year)\n        .groupby('year')\n        .apply(lambda x: x.clicks.sum() / x.impressions.sum(), include_groups=False)\n    ),\n    'conversion_rate': (\n        traffic\n        .assign(year=traffic.date.dt.year)\n        .groupby('year')\n        .apply(lambda x: x.conversions.sum() / x.clicks.sum(), include_groups=False)\n    ),\n    'average_spend': (\n        traffic\n        .assign(year=traffic.date.dt.year)\n        .groupby('year')\n        .apply(lambda x: x.revenue.sum() / x.conversions.sum(), include_groups=False)\n    ),\n    'revenue': (\n        traffic\n        .assign(year=traffic.date.dt.year)\n        .groupby('year')\n        .revenue.sum()\n    )\n}).style.format({'average_spend': fmt_currency, 'revenue': fmt_currency}, na_rep='')\n</code></pre> impressions click_rate conversion_rate average_spend revenue year 2018 10050 0.111443 0.607143 $72.65 $49,400.00 2019 11800 0.200254 0.542531 $78.65 $100,827.00 <p>In and of itself, this is already quite interesting. However, what we really want to know is how the change of each metric contributes to the change in revenue. This is where icanexplain comes in.</p> <pre><code>import icanexplain as ice\n\nexplainer = ice.FunnelExplainer(\n    funnel=['impressions', 'clicks', 'conversions', 'revenue'],\n    period='year',\n    group=['month', 'group']\n)\ntraffic = traffic.assign(\n    month=traffic.date.dt.month,\n    year=traffic.date.dt.year\n)\nexplanation = explainer(traffic)\nexplanation.style.format(fmt_currency).set_properties(**{'text-align': 'right'})\n</code></pre> impressions_contribution clicks_over_impressions_contribution conversions_over_clicks_contribution revenue_over_conversions_contribution year month group 2019 1 A $0.00 -$1,720.00 $4,586.67 -$2,411.67 B $705.00 $2,428.33 -$3,446.67 -$347.67 C -$2,150.00 $8,600.00 -$2,924.00 -$4,129.00 2 A $24,500.00 $0.00 $0.00 $25,000.00 B $855.00 $19.00 -$1,254.00 -$281.00 C -$1,750.00 $4,200.00 $420.00 $527.00 <p>This is powerful, because it allows us to understand the drivers of revenue growth. For example, between January 2018 and January 2019, revenue went up by $8,600 due an increase in clicks for group C. This is more insightful than just saying that their click rate went up.</p> <p>One thing to keep in mind is that contributions sum up to the overall difference between two periods. This means that it's easy to unit test that the contributions are correct:</p> <pre><code>(\n    explanation\n    .groupby('year').sum().sum(axis=1)\n    .to_frame('sum')\n    .style.format(fmt_currency)\n)\n</code></pre> sum year 2019 $51,427.00 <p>Of course, it would be more interesting to apply this methodology to some real data. One example is the Google Analytics dataset sample which is publicly available in BigQuery. </p>"},{"location":"methods/funnel/","title":"Funnel decomposition","text":"<pre><code># Funnel\n</code></pre>"},{"location":"methods/ratio/","title":"Ratio decomposition","text":""},{"location":"methods/total/","title":"Total decomposition","text":"\\[ \\sum_{i=1}^n \\frac{1}{2} \\]"},{"location":"theme/","title":"Kilsbergen","text":"<p>A clean MkDocs theme.</p> <p>This theme is designed for Tako, Pris, and Noblit. It is not flexible on purpose: it supports everything I need, and nothing more.</p>"},{"location":"theme/#demos","title":"Demos","text":"<ul> <li>Musium documentation</li> <li>Noblit documentation</li> <li>Pris documentation</li> <li>RCL documentation</li> <li>Squiller documentation</li> <li>Tako documentation</li> </ul>"},{"location":"theme/#features","title":"Features","text":"<ul> <li>Responsive design</li> <li>Zero javascript</li> </ul>"},{"location":"theme/#usage","title":"Usage","text":"<p>One easy way to use this theme, is to add it as a Git submodule to your <code>docs</code> directory, e.g. at <code>docs/theme</code>. Then add the following in your <code>mkdocs.yml</code>:</p> <pre><code>theme:\n  name: null\n  custom_dir: docs/theme\n</code></pre> <p>This theme requires MkDocs 1.1 or later. For earlier versions, delete this <code>README.md</code> to work around this bug.</p> <p>To enable anchors next to section headings, add the following to your <code>mkdocs.yml</code>:</p> <pre><code>markdown_extensions:\n  - toc:\n      permalink: true\n      permalink_title: null\n</code></pre> <p>To enable syntax highlighting, ensure that <code>pygmentize</code> is available, and add the following to your <code>mkdocs.yml</code>:</p> <pre><code>markdown_extensions:\n  - codehilite\n</code></pre> <p>See also the python-markdown list of extensions.</p>"},{"location":"theme/#license","title":"License","text":"<p>Kilsbergen is licensed under the Apache 2.0 license. In the generated documentation, it is fine to just link to this readme from a comment.</p>"}]}
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-    Different backend support with Ibis 🐦
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