A collection of datasets used for teaching data visualization and analytics (mostly in Google Colab / Jupyter notebooks).
| File | Description |
|---|---|
2275331.csv |
Daily weather station data for Szeged, Hungary (station, date, avg/max/min temperature). |
artist_data.csv |
Tate Gallery artist metadata (name, gender, birth/death year, place). |
artwork_data.csv |
Tate Gallery artwork metadata (title, artist, medium, dimensions, acquisition year). |
countries.csv |
Country-level life expectancy, population, and GDP per capita by year (Gapminder-style). |
data_1d.csv |
Simple two-column numeric sample data, for basic 1D plotting exercises. |
data_2d.csv |
Simple three-column numeric sample data, for basic 2D/scatter plotting exercises. |
data_poly.csv |
Two-column numeric sample data for polynomial regression exercises. |
Ecommerce Purchases |
Synthetic e-commerce purchase records (address, browser, credit card, price, etc.) for data cleaning/analysis practice. |
egybefuzve.geojson / egybefuzve.json |
Hungarian county boundaries (GeoJSON) for map visualizations. |
franklin2017-09-01_2020-08-30.csv |
Historical stock price data (open/high/low/close/volume) for Franklin, 2017–2020. |
geojson-counties-fips.json |
US county boundaries (GeoJSON, keyed by FIPS code) for US map visualizations. |
map.geojson |
Hungarian county boundaries (GeoJSON), alternate version. |
megyek_uj.json |
Hungarian county boundaries (GeoJSON), alternate version. |
mlr02.xls |
Sample dataset for multiple linear regression exercises. |
moore.csv |
Historical CPU transistor counts and die sizes (Moore's Law dataset). |
These files are meant to be loaded directly from GitHub (raw URL) into a Colab or Jupyter notebook, e.g.:
import pandas as pd
url = "https://raw.githubusercontent.com/skylite21/csv_for_colab/master/countries.csv"
df = pd.read_csv(url)