From 153ad027210504174e1c97dfb3d3821242d5b0a9 Mon Sep 17 00:00:00 2001
From: Fabiana <30911746+fabclmnt@users.noreply.github.com>
Date: Wed, 29 Nov 2023 21:01:57 -0800
Subject: [PATCH] docs: update upload_csv.md
---
docs/get-started/upload_csv.md | 16 ++++++++--------
1 file changed, 8 insertions(+), 8 deletions(-)
diff --git a/docs/get-started/upload_csv.md b/docs/get-started/upload_csv.md
index 05297bf1..a684d671 100644
--- a/docs/get-started/upload_csv.md
+++ b/docs/get-started/upload_csv.md
@@ -7,21 +7,21 @@ To create your first dataset in the **Data Catalog**, you can start by clicking
Or click to **Data Catalog** (on the left side menu) and click **“Add Dataset”**.
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After that the below modal will be shown. You will need to select a connector. To upload a CSV file, we need to select **“Upload CSV”**.
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Once you've selected the **“Upload CSV”** connector, a new screen will appear, enabling you to upload your file and designate a name for your connector.
This file upload connector will subsequently empower you to create one or more datasets from the same file at a later stage.
With the *Connector* created, you'll be able to add a dataset and specify its properties:
@@ -31,14 +31,14 @@ With the *Connector* created, you'll be able to add a dataset and specify its pr
- **Data Type:** Whether your dataset contains tabular or time-series (i.e., containing temporal dependency) data.
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Your created Connector *(“Census File”)* and Dataset *(“Census”)* will be added to the Data Catalog.
As soon as the status is green, you can navigate your Dataset. Click in **Open Dataset** as per the image below.
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Within the **Dataset** details, you can gain valuable insights through our automated data quality profiling.
@@ -48,14 +48,14 @@ of duplicates, and insights into the overall quality of your dataset.
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Or perhaps, you want to further explore through visualization, the profile of your data with both univariate
and multivariate of your data.
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**Congrats!** 🚀 You have now successfully created your first **Connector** and **Dataset** in Fabric’s Data Catalog.