File Upload
Upload CSV, Excel, or ODS files to create events. This is the simplest way to get data into TimeTiles.
Required Fields
Each row becomes an event. Your data needs three fields:
| Field | Required | Example |
|---|---|---|
| Title | Yes | ”Earthquake in San Francisco” |
| Date | Yes | 2024-03-15 (ISO 8601 recommended) |
| Location | Yes | ”San Francisco, CA” or 37.7793, -122.4193 |
Any additional fields (description, category, source, severity) become filterable in the interface.
How to Import
Go to the import page
Navigate to /ingest or click the import button.
Choose or create a catalog
Catalogs are project-level containers. Create one for your topic or select an existing one.
Upload your file
Drag and drop your CSV, Excel, or ODS file.
Review the detected schema
TimeTiles identifies field types, dates, locations, and categories. Verify the mappings and adjust if needed.
Start processing
Click Start. TimeTiles validates, geocodes, and creates events. A progress bar shows the current stage.
Example CSV
title,date,location,category,description
"City Council Meeting","2024-01-10","Berlin, Germany","Politics","Budget debate for 2024"
"Factory Fire","2024-02-14","Hamburg, Germany","Incident","Chemical plant fire, no injuries"
"Climate March","2024-03-15","Munich, Germany","Protest","5,000 participants"
"Data Leak Published","2024-04-02","Frankfurt, Germany","Investigation","Financial records from 2019-2023"
"River Pollution Report","2024-05-20","Cologne, Germany","Environment","Elevated lead levels detected"Tips
- Start small — test with 100-500 events before importing large datasets
- Use consistent dates — ISO 8601 (
YYYY-MM-DD) works best - Add categories — fields with few distinct values become interactive filters
- Include coordinates — if you have lat/lng, geocoding is skipped (faster and more accurate)
- Preview first — review schema detection before starting the full import
Next Steps
- Scheduled Imports — Automate recurring data fetches
- Scrapers — Write custom scripts for non-tabular data sources
- Exploring Data — Map, timeline, filters, and sharing
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