Sample data · CC0 / public domain
Sample daily weather CSV.
Daily weather observations across ten cities: temperature, humidity, wind speed, precipitation and a text condition. The go-to shape for time-series and multi-series chart demos.
Download
Grab a file — or generate a big one.
The small files are static downloads. The large ones are generated in your browser from the same fixed seed, so every copy of weather-100000.csv on earth is byte-identical — reproducible test data with no 60 MB download.
→ Open this dataset in the dashboard builder · → Open in the CSV editor
Preview
First rows.
| date | city | temp_c | humidity_pct | wind_kph | precip_mm | condition |
|---|---|---|---|---|---|---|
| 2024-01-01 | Rome | 0.2 | 79 | 47.6 | 0.0 | Rain |
| 2024-04-01 | Lisbon | 30.3 | 97 | 8.3 | 1.8 | Rain |
| 2024-07-01 | Oslo | 16.1 | 53 | 35.1 | 4.2 | Partly cloudy |
| 2024-09-30 | Oslo | 8.1 | 78 | 41.8 | 0.0 | Clear |
| 2024-12-31 | Madrid | 0.1 | 93 | 24.6 | 0.4 | Light rain |
| 2025-04-01 | Madrid | 29.1 | 70 | 6.5 | 22.0 | Overcast |
| 2025-07-01 | Vienna | 22.8 | 54 | 27.3 | 0.0 | Partly cloudy |
| 2025-09-30 | Lisbon | 15.5 | 97 | 54.4 | 0.0 | Overcast |
Schema
Columns.
| column | description |
|---|---|
date | Observation date |
city | City |
temp_c | Mean temperature (°C) |
humidity_pct | Relative humidity (%) |
wind_kph | Wind speed (km/h) |
precip_mm | Precipitation (mm) |
condition | Sky condition |
About this dataset
What it models.
Each row is one city-day. Temperatures sit in a plausible −5…35 °C band; condition strings correlate loosely with precipitation, enough for category charts to look right.
It's synthetic — the physics is approximate, the shape is what matters: a clean date column, a category column and several numeric series.
Good for: Line/area chart demos (temperature over time) · Multi-series grouping (city comparison) · Histogram practice (wind, humidity).
License: CC0 / public domain — use it anywhere, no attribution needed.
Common questions
- ·
Is this real historical weather?
No — it's synthetic data in realistic ranges. For real observations use a meteorological source; use this when you just need weather-shaped data.
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What license is this under?
CC0 (public domain). Use it in tutorials, tests, courses, screenshots and products — no attribution required.
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Is the data deterministic?
Yes — every size is generated from a fixed seed, so the same file is byte-identical for everyone, forever. Reproducible tests, stable teaching materials.
More sample data