Data Exploration

Learn how to explore and analyze your data effectively.

Exploring Tables

The data exploration view provides a comprehensive way to understand your data structure and contents.

Table View

When you select a table, you'll see:

  • Column Headers - Click to sort by that column
  • Data Grid - Scrollable view of table data
  • Row Count - Total number of records
  • Pagination - Navigate through large datasets

Filtering Data

Apply filters to focus on specific data subsets:

Quick Filters

  • Click the filter icon on any column header
  • Select filter type (equals, contains, greater than, etc.)
  • Enter the filter value
  • Apply multiple filters for complex queries

Filter Types

Text

Equals, Contains, Starts with, Ends with

Numeric

Equals, Greater than, Less than, Between

Date

Before, After, Between, Relative dates

Boolean

True, False, Null

Data Profiling

Click on any column to view detailed profiling information:

  • Data Type - Column data type and format
  • Null Count - Number of null/missing values
  • Unique Values - Count of distinct values
  • Distribution - Value distribution histogram
  • Min/Max - Minimum and maximum values for numeric columns
  • Sample Values - Common values in the column

Exporting Data

Export data for use in other applications:

  1. Apply any desired filters to the data
  2. Click the Export button in the toolbar
  3. Select the export format:
    • CSV - Comma-separated values
    • JSON - JavaScript Object Notation
    • Excel - Microsoft Excel format
    • Parquet - Columnar storage format
  4. Choose to export all data or only filtered results
  5. Download the file

Performance Tips

  • Use filters to limit large datasets for faster loading
  • Export large datasets in chunks for better performance
  • Use Parquet format for large exports to reduce file size