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Data Viewer

The Data Viewer is a crucial component of the platform that provides users with a comprehensive and interactive view of their dataset. It offers a detailed, tabular representation of data records, allowing users to explore and understand their data quickly and efficiently.

Overview of the Data Viewer panel

Core Features​

Data Display​

  • Default View: Initially displays the top 1000 rows of the dataset
  • Provides a complete snapshot of the dataset's contents
  • Allows immediate visual inspection of data structure and content

Visual Data Type Representation​

  • Columns are color-coded to represent different data types
  • Color-coding provides instant visual understanding of variable types
  • Color scheme includes:
    • Pink: String/Categorical variables
    • Green: Integer variables
    • Blue: Float/Decimal variables

Sampling Options​

  1. Sample Method: Enables selection of different data sampling techniques:

    • Top: Selects rows from the beginning of the dataset
    • Bottom: Selects rows from the end of the dataset
    • Random: Randomly selects rows across the entire dataset
    • Stratified Random: Ensures representation across predefined categories

  2. Rows selection: Allows dynamic adjustment of the number of rows displayed. Possible configurations:

    • Fixed number of rows
    • Percentage of total dataset

Sample Saving and Reuse​

The Data Viewer provides functionality to save a specific sample of your dataset for future use or further analysis.