CSV Visualizer
  • 29 May 2025
  • 2 Minutes to read
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CSV Visualizer

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Article summary

Overview 

The CSV Visualizer enables Users to import CSV files to train a Predictive Model. Once the file is imported, Users can quickly view the file and access a variety of User actions in the CSV Visualizer Dashboard to edit the visualization. These features include adjusting the view from table to chart and find and replace data functionality. 


Importing a CSV File

  • From the main dashboard, select the Import/Export Dropdown menu and then select Import File.
  • Select the desired CSV file. 
    • The CSV Importer supports CSV, zipped CSV, and XLSX files. 
  • From here, a window will pop up asking if the imported CSV should be used to train a predictive model.
  • Select Yes to proceed. 
  • From here, Users can right-click on the imported CSV file and select Open to view it within the CSV Visualizer

Editing the CSV File

Users can edit an imported CSV file within the CSV Visualizer Dashboard.

To edit the CSV file:

  • Navigate to the CSV Visualizer. 
  • From here, Users can edit data in any of the rows or headers. 
  • After editing the desired Data, click Save to ensure all changes are saved to the CSV file.

Toolbar Actions

The CSV Visualizer contains multiple actions available on the toolbar, located on the upper right-hand side of the Dashboard.

Undo Changes

This button allows Users to erase any changes made when editing the CSV file.

Show Charts

This button navigates Users to a Bar Chart view of the CSV File. From here, Users can select different columns, change the view between chart and table, and sort desired columns. 

  • Users can also create a custom Dashboard from this view by selecting the plus button next to Standard

Create Log

This button allows Users to create an event log from the CSV file. For more information on actions within this Dashboard, please refer to Managing Logs.

Replace

This button enables users to quickly change data within the CSV file using the integrated Find and Replace functionality. 

  • Users start by selecting whether to Replace in Whole CSV or Replace in Chosen Column.
    • After this information is selected, insert the data that will be searched for within the CSV file and the data that will replace this information.
      • Users can also check whether to Match Case or Replace Entire Cell Contents.
      • Once all the fields have been completed, select Replace All to save the changes. 


Feature Changes

DescriptionVersionRelease DateDeveloper Task
CSV Files that have been imported for the purpose of training a predictive model can now be opened within the platform. 3.3December 2024[DT-041789]
Zipped CSV files can now be imported. 3.3December 2024[DT-041807]
CSV files that are imported for a Prediction dataset have editable headers and rows. 3.4January 2025[DT-042376]
Users can now generate Dashboards and Charts for any CSV files imported for prediction training. 3.5March 2025[DT-042643]



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