Exporting raw numerical data as CSV or Excel for external analysis
The Export Data screen exports detailed numerical data from your analysis file in CSV or Excel format. This includes per-seed feature values, classification results, screen size measurements, and statistical summaries suitable for external analysis tools like Excel, R, or Python.
Prerequisites
An analysis file with completed AI classification results.
Step-by-Step Walkthrough
1. Select Export Format
Choose the output format:
Format
Description
CSV
Comma-separated values, compatible with any spreadsheet or data tool
Excel
.xlsx format with formatted sheets
Both
Generates both CSV and Excel files simultaneously
2. Choose Single or Batch Processing
Mode
Description
Single File
Exports data from the currently open analysis file
Batch (Folder)
Exports data from all .hdf5 files in a selected folder
3. Configure Filters
Screen Size Range: Narrow the export to a specific sieve range.
Relative to Count / Relative to Weight: Toggle how percentage values are calculated in the export.
Moka Filter: Include or exclude Peaberry bean data.
4. Run the Export
Click Export Data to begin. A progress bar shows the current status with live updates.
In batch mode, each file is processed sequentially. The progress bar shows which file is currently being exported.
5. View the Output
When complete, the application can automatically open the output folder if the auto-open option is enabled. Exported files are saved in the same directory as the source analysis file.
Configuration Persistence
Export format and filter settings are persisted in the Electron Store.