diff --git a/transit_priority_infrastructure/Bus Speeds.ipynb b/transit_priority_infrastructure/Bus Speeds.ipynb
new file mode 100644
index 000000000..74b42fc86
--- /dev/null
+++ b/transit_priority_infrastructure/Bus Speeds.ipynb	
@@ -0,0 +1,699 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "id": "0106f19b-f2af-4507-ac1e-78fa4402a110",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "import os\n",
+    "import geopandas as gpd\n",
+    "from shapely.geometry import Point, LineString\n",
+    "from shapely.ops import nearest_points\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "from sklearn.linear_model import LinearRegression\n",
+    "import matplotlib.cm as cm\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "id": "fad482f5-f0b4-4544-801a-dc1e6ce6c06e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['metro_orange_line', 'ventura_blvd_bus_lanes', 'Lincoln Blvd Bus Lane', 'wilshire_blvd_2', 'santa_monica_blvd', 'la_brea_sunset_to_olympic', 'venice_blvd_bus_lane', 'sepulveda_blvd_bus_lane', 'flower_street_bus_lane', 'LAX Bus Lanes', 'florence_ave', 'figuera_street', '6th_street_bus_lane', '5th_street_bus_lane', 'n_alameda_street', 'east_aliso_bus_lane', 'sBX_green_line_BRT', 'sunset_bus_lane', 'La_loma_bus_lane', 'the_grand_ave_bus_lane', 'olive_ave_bus_lanes', 'alvarado_st_bus_lanes_south', 'alvarado_st_bus_lanes_north', 'E_hopitality_lane']\n"
+     ]
+    }
+   ],
+   "source": [
+    "def read_geojson(filename):\n",
+    "    with open(filename, 'r') as file:\n",
+    "        data = json.load(file)\n",
+    "    return data\n",
+    "\n",
+    "def extract_infrastructure_ids(geojson_data):\n",
+    "    ids = []\n",
+    "    for feature in geojson_data['features']:\n",
+    "        # Assuming 'infrastructure_id' is the correct key in the properties\n",
+    "        id = feature['properties'].get('infrastructure_id')\n",
+    "        type = feature['properties'].get('infrastructure_type')\n",
+    "        if id is not None and type == 'Bus Only Lane':\n",
+    "            ids.append(id)\n",
+    "    return ids\n",
+    "\n",
+    "# Usage\n",
+    "filename = 'District 7.geojson'\n",
+    "geojson_data = read_geojson(filename)\n",
+    "infrastructure_ids = extract_infrastructure_ids(geojson_data)\n",
+    "print(infrastructure_ids)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "id": "99c9eb2f-02f7-461b-b201-93285db96318",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x1000 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "17155    80132\n",
+      "17345     6930\n",
+      "17346     6933\n",
+      "17347     6964\n",
+      "17348     6965\n",
+      "         ...  \n",
+      "19972    15273\n",
+      "19973    15317\n",
+      "19974    15286\n",
+      "19975    15282\n",
+      "19976    15278\n",
+      "Name: stop_id, Length: 73, dtype: object\n"
+     ]
+    }
+   ],
+   "source": [
+    "def filter_and_map_by_proximity(line_geojson, points_geojson, infrastructure_id, keyword):\n",
+    "    # Miles 0.1 do degrees\n",
+    "    distance_degrees = 0.1 / 69\n",
+    "\n",
+    "    # Load GeoJSON files\n",
+    "    lines_gdf = gpd.read_file(line_geojson)\n",
+    "    points_gdf = gpd.read_file(points_geojson)\n",
+    "\n",
+    "    # Find the line with the given infrastructure_id\n",
+    "    line_filter = lines_gdf[lines_gdf['infrastructure_id'] == infrastructure_id]\n",
+    "    if line_filter.empty:\n",
+    "        print(\"No line found with the given infrastructure_id:\", infrastructure_id)\n",
+    "        return None\n",
+    "    \n",
+    "    line = line_filter['geometry'].iloc[0]\n",
+    "\n",
+    "    # Calculate proximity and filter points\n",
+    "    near_points = points_gdf[points_gdf['geometry'].apply(lambda x: line.distance(x) < distance_degrees)]\n",
+    "    # near_points = near_points[near_points['stop_name'].str.startswith(keyword, na=False)]\n",
+    "\n",
+    "    # Plotting\n",
+    "    fig, ax = plt.subplots(figsize=(10, 10))\n",
+    "    line_filter.plot(ax=ax, color='red', linewidth=2, label='Selected Line')  # Plot only the selected line for clarity\n",
+    "    near_points.plot(ax=ax, color='blue', marker='o', markersize=5, label='Nearby Points')\n",
+    "    plt.legend()\n",
+    "    plt.title(f\"Map of Line Segment '{infrastructure_id}' and Nearby Points\")\n",
+    "    plt.show()\n",
+    "\n",
+    "    return near_points\n",
+    "\n",
+    "# Usage\n",
+    "line_geojson = 'District 7.geojson'\n",
+    "points_geojson = 'Speed Maps/1 November 2022/182_07_00–10_00_speeds.geojson'\n",
+    "infrastructure_id = 'venice_blvd_bus_lane'  # Ensure this ID is correct and exists in the GeoJSON file\n",
+    "nearby_points = filter_and_map_by_proximity(line_geojson, points_geojson, infrastructure_id, 'Venice')\n",
+    "print(nearby_points['stop_id'])\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "id": "72f676d9-a77d-450d-a948-21b84f481f11",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# import zipfile as zf\n",
+    "# files = zf.ZipFile(\"Speed Maps.zip\", 'r')\n",
+    "# files.extractall('directory to extract')\n",
+    "# files.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "8f9da0b4-a7af-40d9-92e4-b7d08b62f164",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "alvarado_st_morning = ['4658', '4662', '4657', '4654', '3357', '3361', '3358', '3359', '5137']\n",
+    "alvarado_st_evening = ['11846', '10995', '11848', '5159', '13111', '15627', '13119', '13115', '13122']\n",
+    "venice_blvd_east = ['6923', '6939', '6935', '6931', '6928', '6914', '6902']\n",
+    "venice_blvd_west = ['15281', '15283', '15289', '15292', '15287', '15273']\n",
+    "# venice = venice_blvd_east + venice_blvd_west\n",
+    "venice = nearby_points['stop_id'].tolist()\n",
+    "alvarado = alvarado_st_morning + alvarado_st_evening\n",
+    "\n",
+    "def parseFolder(folder_name, stops):\n",
+    "    speeds = {}\n",
+    "    variance = {}\n",
+    "    for geojson in os.listdir(folder_name):\n",
+    "        file_path = os.path.join(folder_name, geojson)\n",
+    "        features = filterGeojson(file_path, stops)\n",
+    "        time, type = extract_details(file_path)\n",
+    "        if type == \"speeds\":\n",
+    "            speeds[time] = getAverageSpeed(features)\n",
+    "        elif type == 'variance':\n",
+    "            variance[time] = getAverageVariation(features)\n",
+    "    print(folder_name)\n",
+    "    print('speed: ', speeds)\n",
+    "    print('variation: ', variance)\n",
+    "    return folder_name, speeds, variance\n",
+    "\n",
+    "def extract_details(filename):\n",
+    "    filename = filename.split('/')[-1]\n",
+    "    parts = filename.replace('–', '_').replace('.', '_').split('_')\n",
+    "    start_hour = int(parts[1])\n",
+    "    end_hour = int(parts[3])\n",
+    "    start_time = f\"{start_hour}am\" if start_hour < 12 else f\"{start_hour-12}pm\"\n",
+    "    end_time = f\"{end_hour}am\" if end_hour < 12 else f\"{end_hour-12}pm\"\n",
+    "    time = f\"{start_time} to {end_time}\"\n",
+    "    word = parts[5]\n",
+    "    return time, word\n",
+    "\n",
+    "def filterGeojson(file_path, stops):\n",
+    "    with open(file_path) as file:\n",
+    "        data = json.load(file)\n",
+    "    filtered_features = [feature for feature in data['features'] if feature['properties']['stop_id'] in stops]\n",
+    "    return filtered_features\n",
+    "\n",
+    "def getAverageSpeed(features):\n",
+    "    speeds = []\n",
+    "    for feature in features:\n",
+    "        speeds.append(feature['properties']['p50_mph'])\n",
+    "    return sum(speeds) / len(speeds)\n",
+    "\n",
+    "def getAverageVariation(features):\n",
+    "    variation = []\n",
+    "    for feature in features:\n",
+    "        variation.append(feature['properties']['p80_mph']-feature['properties']['p20_mph'])\n",
+    "    return sum(variation) / len(variation)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "id": "584b7016-fddd-453b-bbd1-cb686abd45f2",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "4 July 2023\n",
+      "Speed Maps/4 July 2023\n",
+      "speed:  {'10am to 4pm': 8.49090909090909, '4pm to 7pm': 8.640909090909089, '7am to 10am': 9.318181818181818}\n",
+      "variation:  {'10am to 4pm': 5.081818181818183, '4pm to 7pm': 4.695454545454545, '7am to 10am': 4.8500000000000005}\n",
+      "('Speed Maps/4 July 2023', {'10am to 4pm': 8.49090909090909, '4pm to 7pm': 8.640909090909089, '7am to 10am': 9.318181818181818}, {'10am to 4pm': 5.081818181818183, '4pm to 7pm': 4.695454545454545, '7am to 10am': 4.8500000000000005})\n",
+      "6 September 2023\n",
+      "Speed Maps/6 September 2023\n",
+      "speed:  {'10am to 4pm': 8.677272727272726, '4pm to 7pm': 10.267741935483873, '7am to 10am': 8.691304347826087}\n",
+      "variation:  {'10am to 4pm': 4.877272727272727, '4pm to 7pm': 3.5870967741935487, '7am to 10am': 5.0608695652173905}\n",
+      "('Speed Maps/6 September 2023', {'10am to 4pm': 8.677272727272726, '4pm to 7pm': 10.267741935483873, '7am to 10am': 8.691304347826087}, {'10am to 4pm': 4.877272727272727, '4pm to 7pm': 3.5870967741935487, '7am to 10am': 5.0608695652173905})\n",
+      "5 August 2023\n",
+      "Speed Maps/5 August 2023\n",
+      "speed:  {'10am to 4pm': 7.572727272727272, '4pm to 7pm': 9.547499999999998, '7am to 10am': 8.695652173913043}\n",
+      "variation:  {'10am to 4pm': 4.677272727272727, '4pm to 7pm': 2.62, '7am to 10am': 5.434782608695651}\n",
+      "('Speed Maps/5 August 2023', {'10am to 4pm': 7.572727272727272, '4pm to 7pm': 9.547499999999998, '7am to 10am': 8.695652173913043}, {'10am to 4pm': 4.677272727272727, '4pm to 7pm': 2.62, '7am to 10am': 5.434782608695651})\n",
+      "7 November 2023\n",
+      "Speed Maps/7 November 2023\n",
+      "speed:  {'10am to 4pm': 8.44090909090909, '4pm to 7pm': 8.880645161290321, '7am to 10am': 8.930434782608694}\n",
+      "variation:  {'10am to 4pm': 4.990909090909091, '4pm to 7pm': 4.8, '7am to 10am': 5.017391304347826}\n",
+      "('Speed Maps/7 November 2023', {'10am to 4pm': 8.44090909090909, '4pm to 7pm': 8.880645161290321, '7am to 10am': 8.930434782608694}, {'10am to 4pm': 4.990909090909091, '4pm to 7pm': 4.8, '7am to 10am': 5.017391304347826})\n",
+      "3 May 2023\n",
+      "Speed Maps/3 May 2023\n",
+      "speed:  {'10am to 4pm': 8.750000000000002, '4pm to 7pm': 8.83, '7am to 10am': 9.178260869565218}\n",
+      "variation:  {'10am to 4pm': 5.6818181818181825, '4pm to 7pm': 4.26, '7am to 10am': 5.178260869565218}\n",
+      "('Speed Maps/3 May 2023', {'10am to 4pm': 8.750000000000002, '4pm to 7pm': 8.83, '7am to 10am': 9.178260869565218}, {'10am to 4pm': 5.6818181818181825, '4pm to 7pm': 4.26, '7am to 10am': 5.178260869565218})\n",
+      "2 April 2023\n",
+      "Speed Maps/2 April 2023\n",
+      "speed:  {'10am to 4pm': 9.606451612903223, '4pm to 7pm': 9.626666666666667, '7am to 10am': 8.73913043478261}\n",
+      "variation:  {'10am to 4pm': 3.235483870967741, '4pm to 7pm': 4.136666666666667, '7am to 10am': 4.373913043478261}\n",
+      "('Speed Maps/2 April 2023', {'10am to 4pm': 9.606451612903223, '4pm to 7pm': 9.626666666666667, '7am to 10am': 8.73913043478261}, {'10am to 4pm': 3.235483870967741, '4pm to 7pm': 4.136666666666667, '7am to 10am': 4.373913043478261})\n",
+      "1 November 2022\n",
+      "Speed Maps/1 November 2022\n",
+      "speed:  {'10am to 4pm': 9.461290322580648, '4pm to 7pm': 11.13, '7am to 10am': 10.191304347826087}\n",
+      "variation:  {'10am to 4pm': 4.903225806451613, '4pm to 7pm': 5.543333333333333, '7am to 10am': 5.3434782608695635}\n",
+      "('Speed Maps/1 November 2022', {'10am to 4pm': 9.461290322580648, '4pm to 7pm': 11.13, '7am to 10am': 10.191304347826087}, {'10am to 4pm': 4.903225806451613, '4pm to 7pm': 5.543333333333333, '7am to 10am': 5.3434782608695635})\n"
+     ]
+    }
+   ],
+   "source": [
+    "for dir in os.listdir(\"Speed Maps\"):\n",
+    "    if not dir.startswith('.'):\n",
+    "        print(dir)\n",
+    "        print(parseFolder(os.path.join(\"Speed Maps\", dir), alvarado))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "id": "b6d717c2-b318-477a-85c7-0b1d6bc4a843",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Speed Maps/1 November 2022\n",
+      "speed:  {'10am to 4pm': 12.928571428571425, '4pm to 7pm': 11.379310344827582, '7am to 10am': 13.578666666666669}\n",
+      "variation:  {'10am to 4pm': 6.953968253968256, '4pm to 7pm': 4.16206896551724, '7am to 10am': 6.669333333333331}\n",
+      "Speed Maps/2 April 2023\n",
+      "speed:  {'10am to 4pm': 12.7327868852459, '4pm to 7pm': 11.642352941176469, '7am to 10am': 13.964383561643837}\n",
+      "variation:  {'10am to 4pm': 6.722950819672132, '4pm to 7pm': 4.52823529411765, '7am to 10am': 7.434246575342466}\n",
+      "Speed Maps/3 May 2023\n",
+      "speed:  {'10am to 4pm': 12.854098360655737, '4pm to 7pm': 12.361176470588239, '7am to 10am': 13.732876712328768}\n",
+      "variation:  {'10am to 4pm': 6.373770491803277, '4pm to 7pm': 5.050588235294119, '7am to 10am': 6.826027397260275}\n",
+      "Speed Maps/4 July 2023\n",
+      "speed:  {'10am to 4pm': 12.505333333333335, '4pm to 7pm': 11.691919191919192, '7am to 10am': 14.164000000000003}\n",
+      "variation:  {'10am to 4pm': 5.12, '4pm to 7pm': 4.792929292929293, '7am to 10am': 7.193333333333333}\n",
+      "Speed Maps/5 August 2023\n",
+      "speed:  {'10am to 4pm': 13.337333333333333, '4pm to 7pm': 11.910101010101005, '7am to 10am': 13.991999999999997}\n",
+      "variation:  {'10am to 4pm': 5.625333333333335, '4pm to 7pm': 4.508080808080807, '7am to 10am': 6.849333333333331}\n",
+      "Speed Maps/6 September 2023\n",
+      "speed:  {'10am to 4pm': 13.081333333333339, '4pm to 7pm': 12.22424242424243, '7am to 10am': 12.543999999999999}\n",
+      "variation:  {'10am to 4pm': 5.348, '4pm to 7pm': 4.167676767676768, '7am to 10am': 5.567999999999999}\n",
+      "Speed Maps/7 November 2023\n",
+      "speed:  {'10am to 4pm': 12.801333333333329, '4pm to 7pm': 12.524242424242424, '7am to 10am': 13.740000000000004}\n",
+      "variation:  {'10am to 4pm': 5.3226666666666675, '4pm to 7pm': 4.402020202020202, '7am to 10am': 6.691999999999999}\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Initialize a counter to keep track of each call to 'plot_combined_data'\n",
+    "call_counter = 0\n",
+    "\n",
+    "def plot_combined_data(ax, title, speed, variation, bar_width=0.1):\n",
+    "    global call_counter  # Reference the global counter\n",
+    "    \n",
+    "    times = sorted(speed.keys())\n",
+    "    times.insert(0, times.pop())\n",
+    "    speeds = [speed[time] for time in times]\n",
+    "    variations = [variation.get(time, 0) for time in times]\n",
+    "\n",
+    "    # Assuming you might have up to 10 different datasets, adjust the denominator as needed\n",
+    "    cmap = cm.get_cmap('viridis', 10)\n",
+    "    color = cmap(call_counter % 10)  # Use modulo to cycle through colors if more than 10 calls\n",
+    "\n",
+    "    index = np.arange(len(times)) + call_counter * bar_width\n",
+    "    \n",
+    "    ax.bar(index, speeds, bar_width, label=title, color=color, yerr=variations, capsize=5)\n",
+    "    ax.set_xlabel('Time of Day')\n",
+    "    ax.set_ylabel('Miles per Hour')\n",
+    "    ax.set_title('Comparison of Speed and Variation Across Time Spans')\n",
+    "    ax.set_xticks(index)\n",
+    "    ax.set_xticklabels(times, rotation=45)\n",
+    "    ax.legend(framealpha=1.0)\n",
+    "\n",
+    "\n",
+    "    call_counter += 1  # Increment the counter after each call\n",
+    "\n",
+    "# Prepare the plot\n",
+    "fig, ax = plt.subplots()\n",
+    "\n",
+    "# Loop through datasets (e.g., directories for different months)\n",
+    "for dir in sorted(os.listdir(\"Speed Maps\")):\n",
+    "    if not dir.startswith('.'):\n",
+    "        title, speed, variation = parseFolder(os.path.join(\"Speed Maps\", dir), venice)\n",
+    "        plot_combined_data(ax, title, speed, variation)\n",
+    "\n",
+    "for i in range(0,3):\n",
+    "    ax.axvline((3*0.1)+i-0.05, color='red')\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "# plt.legend()\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "id": "59582b9e-26bd-49e0-a05c-20528d86750e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def writeGeojson(data, out_path):\n",
+    "    new_geojson = {\n",
+    "    \"type\": \"FeatureCollection\",\n",
+    "    \"features\": data\n",
+    "    }\n",
+    "    \n",
+    "    # Write the new GeoJSON structure to a file\n",
+    "    with open(out_path, 'w') as file:\n",
+    "        json.dump(new_geojson, file)\n",
+    "\n",
+    "# writeGeojson(june2023, \"alvarado.geojson\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "122dd92f-5ba1-4523-8eae-2cecba548818",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Speed Maps/1 November 2022\n",
+      "speed:  {'10am to 4pm': 12.928571428571425, '4pm to 7pm': 11.379310344827582, '7am to 10am': 13.578666666666669}\n",
+      "variation:  {'10am to 4pm': 6.953968253968256, '4pm to 7pm': 4.16206896551724, '7am to 10am': 6.669333333333331}\n",
+      "Speed Maps/2 April 2023\n",
+      "speed:  {'10am to 4pm': 12.7327868852459, '4pm to 7pm': 11.642352941176469, '7am to 10am': 13.964383561643837}\n",
+      "variation:  {'10am to 4pm': 6.722950819672132, '4pm to 7pm': 4.52823529411765, '7am to 10am': 7.434246575342466}\n",
+      "Speed Maps/3 May 2023\n",
+      "speed:  {'10am to 4pm': 12.854098360655737, '4pm to 7pm': 12.361176470588239, '7am to 10am': 13.732876712328768}\n",
+      "variation:  {'10am to 4pm': 6.373770491803277, '4pm to 7pm': 5.050588235294119, '7am to 10am': 6.826027397260275}\n",
+      "Speed Maps/4 July 2023\n",
+      "speed:  {'10am to 4pm': 12.505333333333335, '4pm to 7pm': 11.691919191919192, '7am to 10am': 14.164000000000003}\n",
+      "variation:  {'10am to 4pm': 5.12, '4pm to 7pm': 4.792929292929293, '7am to 10am': 7.193333333333333}\n",
+      "Speed Maps/5 August 2023\n",
+      "speed:  {'10am to 4pm': 13.337333333333333, '4pm to 7pm': 11.910101010101005, '7am to 10am': 13.991999999999997}\n",
+      "variation:  {'10am to 4pm': 5.625333333333335, '4pm to 7pm': 4.508080808080807, '7am to 10am': 6.849333333333331}\n",
+      "Speed Maps/6 September 2023\n",
+      "speed:  {'10am to 4pm': 13.081333333333339, '4pm to 7pm': 12.22424242424243, '7am to 10am': 12.543999999999999}\n",
+      "variation:  {'10am to 4pm': 5.348, '4pm to 7pm': 4.167676767676768, '7am to 10am': 5.567999999999999}\n",
+      "Speed Maps/7 November 2023\n",
+      "speed:  {'10am to 4pm': 12.801333333333329, '4pm to 7pm': 12.524242424242424, '7am to 10am': 13.740000000000004}\n",
+      "variation:  {'10am to 4pm': 5.3226666666666675, '4pm to 7pm': 4.402020202020202, '7am to 10am': 6.691999999999999}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Initialize an empty DataFrame for the data\n",
+    "columns = ['Title', 'Time', 'Speed', 'Variation']\n",
+    "data_df = pd.DataFrame(columns=columns)\n",
+    "\n",
+    "for dir in sorted(os.listdir(\"Speed Maps\")):\n",
+    "    if not dir.startswith('.'):\n",
+    "        title, speed, variation = parseFolder(os.path.join(\"Speed Maps\", dir), venice)\n",
+    "        data_tuples = [(time, speed[time], variation.get(time, None)) for time in sorted(speed)]\n",
+    "        temp_df = pd.DataFrame(data_tuples, columns=['Time', 'Speed', 'Variation'])\n",
+    "        temp_df['Title'] = title\n",
+    "        data_df = pd.concat([data_df, temp_df], ignore_index=True)\n",
+    "\n",
+    "# Now, write the DataFrame to a CSV file\n",
+    "data_df.to_csv('speed_maps_data.csv', index=False)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "id": "5b6a80ca-60ea-4980-8e81-e930d59bd4b8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Before Implementation - Speed Trend: Increasing (Slope: 0.18), Variation Trend: Increasing (Slope: 0.08)\n",
+      "After Implementation - Speed Trend: Increasing (Slope: 0.02), Variation Trend: Decreasing (Slope: -0.13)\n"
+     ]
+    }
+   ],
+   "source": [
+    "numericalDayToMonth = ['Nov 2022', 'Apr 2023', 'May 2023', 'July 2023', 'Aug 2023', 'Sept 2023', 'Nov 2023']\n",
+    "\n",
+    "def extract_numerical_time(title):\n",
+    "    return int(title.split('/')[1].split(' ')[0])-1\n",
+    "\n",
+    "# Add 'NumericalDay' column to the dataframe\n",
+    "data_df['NumericalDay'] = data_df['Title'].apply(extract_numerical_time)\n",
+    "data_df['Month'] = data_df['NumericalDay'].apply(lambda x: numericalDayToMonth[x])\n",
+    "\n",
+    "# Split data based on the numerical day\n",
+    "before_data = data_df.loc[data_df['NumericalDay'] < 3]\n",
+    "after_data = data_df.loc[data_df['NumericalDay'] >= 3]\n",
+    "\n",
+    "def analyze_trends(data, period_description, color='blue'):\n",
+    "    # Prepare data for regression\n",
+    "    X = data[['NumericalDay']]\n",
+    "    y_speed = data['Speed']\n",
+    "    y_variation = data['Variation']\n",
+    "    \n",
+    "    # Linear regression for speed\n",
+    "    model_speed = LinearRegression().fit(X, y_speed)\n",
+    "    speed_slope = model_speed.coef_[0]\n",
+    "    \n",
+    "    # Linear regression for variation\n",
+    "    model_variation = LinearRegression().fit(X, y_variation)\n",
+    "    variation_slope = model_variation.coef_[0]\n",
+    "    \n",
+    "    # Plotting the trends, including slope in the label\n",
+    "    plt.scatter(data['Month'], y_speed, color=color, label=f'Speed {period_description}')\n",
+    "    plt.plot(X.values, model_speed.predict(X), color=color, label=f'Speed Trend {period_description} (Slope: {speed_slope:.2f})')\n",
+    "    \n",
+    "    # plt.scatter(data['NumericalDay'], y_variation, color='green', label='Variation', alpha=0.5)\n",
+    "    # plt.plot(X, model_variation.predict(X), color='orange', label=f'Variation Trend (Slope: {variation_slope:.2f})')\n",
+    "    \n",
+    "    plt.title(f'Speed Trend Before and After Bus Lane Improvement')\n",
+    "\n",
+    "    plt.legend()\n",
+    "    \n",
+    "    # Returning the slopes for further analysis if needed\n",
+    "    return speed_slope, variation_slope\n",
+    "\n",
+    "# Now let's analyze the trends and display the slopes\n",
+    "plt.figure(figsize=(10, 5))\n",
+    "speed_slope_before, variation_slope_before = analyze_trends(before_data, \"Before Bus Lane\")\n",
+    "speed_slope_after, variation_slope_after = analyze_trends(after_data, \"After Bus Lane\", color='green')\n",
+    "plt.xlabel('Month Sampled')\n",
+    "plt.ylabel('Speed (mph)')\n",
+    "plt.show()\n",
+    "\n",
+    "# Enhanced print statements to include the slope values\n",
+    "print(f\"Before Implementation - Speed Trend: {'Increasing' if speed_slope_before > 0 else 'Decreasing'} (Slope: {speed_slope_before:.2f}), Variation Trend: {'Increasing' if variation_slope_before > 0 else 'Decreasing'} (Slope: {variation_slope_before:.2f})\")\n",
+    "print(f\"After Implementation - Speed Trend: {'Increasing' if speed_slope_after > 0 else 'Decreasing'} (Slope: {speed_slope_after:.2f}), Variation Trend: {'Increasing' if variation_slope_after > 0 else 'Decreasing'} (Slope: {variation_slope_after:.2f})\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "id": "899ed6c1-ac2c-4548-8082-b754e9b566a8",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Speed 10am to 4pm\n",
+      "Before: 12.838485558157686\n",
+      "After: 12.931333333333335\n",
+      "Variation 10am to 4pm\n",
+      "Before: 6.683563188481222\n",
+      "After: 5.354\n",
+      "\n",
+      "Speed 4pm to 7pm\n",
+      "Before: 11.794279918864097\n",
+      "After: 12.087626262626264\n",
+      "Variation 4pm to 7pm\n",
+      "Before: 4.580297498309669\n",
+      "After: 4.4676767676767675\n",
+      "\n",
+      "Speed 7am to 10am\n",
+      "Before: 13.758642313546424\n",
+      "After: 13.61\n",
+      "Variation 7am to 10am\n",
+      "Before: 6.976535768645358\n",
+      "After: 6.575666666666666\n",
+      "\n",
+      "Overall\n",
+      "Variation\n",
+      "Before: 6.080132151812084\n",
+      "After: 5.465781144781144\n"
+     ]
+    }
+   ],
+   "source": [
+    "time_slots = before_data['Time'].unique()\n",
+    "for slot in time_slots:\n",
+    "    before = before_data[before_data['Time']==slot]\n",
+    "    after = after_data[after_data['Time']==slot]\n",
+    "    print('Speed', slot)\n",
+    "    print(\"Before:\", before['Speed'].mean())\n",
+    "    print(\"After:\", after['Speed'].mean())\n",
+    "    \n",
+    "    print('Variation',slot)\n",
+    "    print(\"Before:\", before['Variation'].mean())\n",
+    "    print(\"After:\", after['Variation'].mean())\n",
+    "    print()\n",
+    "before_data.head()\n",
+    "\n",
+    "print('Overall')\n",
+    "print('Variation')\n",
+    "print(\"Before:\", before_data['Variation'].mean())\n",
+    "print(\"After:\", after_data['Variation'].mean())\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "id": "e4103969-5683-49a8-8fa8-814eeb482b86",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Analyzing trends for time slot: 10am to 4pm\n",
+      "Before Day 4 - Speed Trend: Decreasing (Slope: -0.04), Variation Trend: Decreasing (Slope: -0.29)\n",
+      "Day 4 and After - Speed Trend: Increasing (Slope: 0.06), Variation Trend: Increasing (Slope: 0.03)\n",
+      "Analyzing trends for time slot: 4pm to 7pm\n",
+      "Before Day 4 - Speed Trend: Increasing (Slope: 0.49), Variation Trend: Increasing (Slope: 0.44)\n",
+      "Day 4 and After - Speed Trend: Increasing (Slope: 0.28), Variation Trend: Decreasing (Slope: -0.15)\n",
+      "Analyzing trends for time slot: 7am to 10am\n",
+      "Before Day 4 - Speed Trend: Increasing (Slope: 0.08), Variation Trend: Increasing (Slope: 0.08)\n",
+      "Day 4 and After - Speed Trend: Decreasing (Slope: -0.27), Variation Trend: Decreasing (Slope: -0.28)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "time_slots = before_data['Time'].unique()\n",
+    "for slot in time_slots:\n",
+    "    before = before_data[before_data['Time']==slot]\n",
+    "    after = after_data[after_data['Time']==slot]\n",
+    "    print(f\"Analyzing trends for time slot: {slot}\")\n",
+    "    speed_slope_before, variation_slope_before = analyze_trends(before, \"Before Bus Lane\")\n",
+    "    speed_slope_after, variation_slope_after = analyze_trends(after, \"After Bus Lane\")\n",
+    "    \n",
+    "    # Enhanced print statements to include the slope values\n",
+    "    print(f\"Before Day 4 - Speed Trend: {'Increasing' if speed_slope_before > 0 else 'Decreasing'} (Slope: {speed_slope_before:.2f}), Variation Trend: {'Increasing' if variation_slope_before > 0 else 'Decreasing'} (Slope: {variation_slope_before:.2f})\")\n",
+    "    print(f\"Day 4 and After - Speed Trend: {'Increasing' if speed_slope_after > 0 else 'Decreasing'} (Slope: {speed_slope_after:.2f}), Variation Trend: {'Increasing' if variation_slope_after > 0 else 'Decreasing'} (Slope: {variation_slope_after:.2f})\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "id": "c1e148b9-2744-444f-b4ef-aa87e5bc7820",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Assuming before_data and after_data are defined and have 'Time', 'Variation' columns\n",
+    "time_slots = before_data['Time'].unique().tolist()\n",
+    "time_slots.insert(0, time_slots.pop())  # Move the last item to the first position\n",
+    "\n",
+    "# Set up the plotting area\n",
+    "fig, ax = plt.subplots(figsize=(8, 5))  # A single plot for variation differences\n",
+    "\n",
+    "# Storage for percentage change calculations\n",
+    "variation_changes = []\n",
+    "\n",
+    "# Iterate over each time slot to calculate and plot the percentage changes\n",
+    "for slot in time_slots:\n",
+    "    # Extract variation data for the current time slot\n",
+    "    before_variation = before_data[before_data['Time'] == slot]['Variation'].mean()\n",
+    "    after_variation = after_data[after_data['Time'] == slot]['Variation'].mean()\n",
+    "    \n",
+    "    # Calculate the percentage change in variation ((after - before) / before * 100)\n",
+    "    if before_variation != 0:  # To avoid division by zero\n",
+    "        percentage_change = ((after_variation - before_variation) / before_variation) * 100\n",
+    "    else:\n",
+    "        percentage_change = 0  # Or handle appropriately if before_variation is 0\n",
+    "    \n",
+    "    variation_changes.append(percentage_change)\n",
+    "\n",
+    "# Bar chart of percentage changes in variation\n",
+    "x = np.arange(len(time_slots))  # the label locations\n",
+    "ax.bar(x, variation_changes, color='purple', alpha=0.7, width=0.5)\n",
+    "\n",
+    "# Add some text for labels, title and axes ticks\n",
+    "ax.set_ylabel('Percentage Change in Variation (%)')\n",
+    "ax.set_title('Percentage Change in Variation for Each Time Period')\n",
+    "ax.set_xticks(x)\n",
+    "ax.set_xticklabels(time_slots, rotation=45)\n",
+    "ax.axhline(0, color='black', linewidth=0.8)  # Add a horizontal line at zero for reference\n",
+    "\n",
+    "# Display the plot\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c8697848-3020-4ee6-a951-b29ba8b2bf6f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.13"
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+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}