---
title: "Upload the dataset"
url: https://docs.catalyst.zoho.com/en/tutorials/customer-segmentation-analysis/upload-dataset/
service: All Services
type: tutorial
---


# Upload the Dataset
Let's begin by uploading the dataset in Catalyst QuickML using the available dataset  [connectors](https://docs.catalyst.zoho.com/en/quickml/help/data-connectors/zoho-apps/) . 

1.  Click  **Datasets**   to get started .   
 

2. Click  **Import Dataset** . A pop-up will be displayed.    
 

3. We have the dataset downloaded locally,  so , in the _Import Dataset_ window , navigate to  _Files_  and click  **Upload File** .   
 

4. Upload the  **Credit card customers dataset**  that you have downloaded already.  

5. Set the  Quotes Type as **Double Quotes (")** and Escape Character as **Backslash (\\)**,  and click  **Next** .   
  

6. The name of the dataset will be auto\-populated based on the name of the uploaded file. Edit it if required, and click **Upload** .   
    
   The dataset is now uploaded successfully.   
    
        
   Note: The dataset contains missing values, and these gaps can affect the overall quality score .   The score will improve once we address this during the pre processing configuration step in the tutorial. 

   The dataset will be displayed in the  _All Datasets_  section. You can click on  a  dataset name to view  its  details .   
     

   Click on the  **Credit card customers** dataset in the list . You'll be redirected to the  _Dataset Details_  page.   
   The dataset's  [Statistical](https://docs.catalyst.zoho.com/en/quickml/help/data-profiler-and-viewer/#what-is-data-profiling) [ ](https://docs.catalyst.zoho.com/en/quickml/help/data-profiler-and-viewer/#what-is-data-profiling) [profile overview, sample preview](https://docs.catalyst.zoho.com/en/quickml/help/data-profiler-and-viewer/#what-is-data-profiling) [,](https://docs.catalyst.zoho.com/en/quickml/help/data-profiler-and-viewer/#what-is-data-profiling)  and visualization chart are  shown below.   
    
   The uploaded dataset contains 8,950 records across 18 columns, with 0.19%  **missing values**.   

7. Click to the **Overview** drop-down button and select the **minimum_payments** column. 
  
In the  **minimum_payments**  column (313 missing values out of 8,637 available). These will be handled in the preprocessing stage.