docs: update upload_csv.md

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”**.
 
 <div style="display: flex; justify-content: center;align-items: center;">
-    <img src="assets/quickstart/upload_csv/welcome_add_dataset.png" alt="Add dataset from Home" style="width: 75%;">
+    <img src="../assets/quickstart/upload_csv/welcome_add_dataset.png" alt="Add dataset from Home" style="width: 75%;">
 </div>
 
 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”**.
 
 <div style="display: flex; justify-content: center;align-items: center;">
-    <img src="assets/quickstart/upload_csv/data_catalog_connectors.png" alt="Select connectors to storage" style="width: 45%;">
+    <img src="../assets/quickstart/upload_csv/data_catalog_connectors.png" alt="Select connectors to storage" style="width: 45%;">
 </div>
 
 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.
 
 <div style="display: flex; justify-content: center;align-items: center;">
-    <img src="assets/quickstart/upload_csv/loading_area.png" alt="Upload file area" style="width: 45%;">
-    <img src="assets/quickstart/upload_csv/load_csv_file.png" alt="Upload CSV file" style="width: 45%;">
+    <img src="../assets/quickstart/upload_csv/loading_area.png" alt="Upload file area" style="width: 45%;">
+    <img src="../assets/quickstart/upload_csv/load_csv_file.png" alt="Upload CSV file" style="width: 45%;">
 </div>
 
 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.
 
 <div style="display: flex; justify-content: center;align-items: center;">
-    <img src="assets/quickstart/upload_csv/add_dataset_details.png" alt="Upload file area" style="width: 45%;">
+    <img src="../assets/quickstart/upload_csv/add_dataset_details.png" alt="Upload file area" style="width: 45%;">
 </div>
 
 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.
 
 <div style="display: flex; justify-content: center;align-items: center;">
-    <img src="assets/quickstart/upload_csv/open_dataset.png" alt="Upload file area" style="width: 75%;">
+    <img src="../assets/quickstart/upload_csv/open_dataset.png" alt="Upload file area" style="width: 75%;">
 </div>
 
 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.
 <p align="center"><img src="assets/overview/data_centric_approach.png" alt="Data-Centric AI Approach" width="900"></p>
 
 <div style="display: flex; justify-content: center;align-items: center;">
-    <img src="assets/quickstart/upload_csv/dataset_overview.png" alt="Upload file area" style="width: 75%;">
+    <img src="../assets/quickstart/upload_csv/dataset_overview.png" alt="Upload file area" style="width: 75%;">
 </div>
 
 Or perhaps, you want to further explore through visualization, the profile of your data with both univariate
 and multivariate of your data.
 
 <div style="display: flex; justify-content: center;align-items: center;">
-    <img src="assets/quickstart/upload_csv/dataset_profiling.png" alt="Upload file area" style="width: 75%;">
+    <img src="../assets/quickstart/upload_csv/dataset_profiling.png" alt="Upload file area" style="width: 75%;">
 </div>
 
 **Congrats!** 🚀 You have now successfully created your first **Connector** and **Dataset** in Fabric’s Data Catalog.