Data Exploration
Use the Data Exploration panel to gain valuable insights into your data, ensuring you can make informed decisions and optimally configure your fakers/generators.
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Use the Data Exploration panel to gain valuable insights into your data, ensuring you can make informed decisions and optimally configure your fakers/generators.
Last updated
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The Data Exploration panel provides comprehensive insights into your data, allowing you to analyze statistics and value occurrences for the selected column. This feature is particularly useful for understanding data distributions and identifying patterns. Below is a detailed description of the panel's functionalities:
Statistics Section
Graph: Displays a histogram showing the distribution of values within the selected column.
Min Value: The minimum value found in the column.
Max Value: The maximum value found in the column.
Average Value: The average value of the data in the column (N/A if not applicable).
Counts of NULL: The number and percentage of NULL values in the column.
Value Occurrences Section
Table: Displays a list of unique values in the selected column, along with their count and length.
Id: Identifier for the value.
Count: Number of occurrences of the value.
Length: Length of the value (number of characters).
Auto Update
Auto Update: When enabled, the panel automatically refreshes to show the latest data analysis. If disabled, you can manually refresh the analysis by clicking the refresh icon.
Column Sensitivity
The Data Exploration panel is column-sensitive, meaning it displays analysis for the currently selected column. Ensure you select the appropriate column to analyze its data.
Faker Integration
Some fakers support loading value occurrences (e.g., List Values faker), which can be utilized to populate or analyze your data more effectively. For instance, the Group Names should be selected from an existing list of possible items.
