Data loader examples

This project is a collection of data loaders ready to be quickly explored and reused.

Each page gathers examples of data loaders written in a given language (Python, shell script, JavaScript, etc.). It includes both their code and how to access their outputs.

Or, view the whole collection on GitHub.

Python data loaders

• penguin-logistic.csv.py: Accesses penguins data from a local file, performs logistic regression for species classification, and returns a CSV.
• birth_statistics.png.py: Accesses birth statistics for Lake County, Indiana from a geojson, creates a basic choropleth with matplotlib, and returns a PNG.
• earthquakes.zip.py: Accesses USGS earthquake data, then returns metadata (in JSON format) and quake attributes (as a CSV) in a Zip archive.

JavaScript data loaders

• us-electricity.tsv.js: Accesses U.S. electricity data, performs basic wrangling, then returns a TSV file.
• magic.json.js: Accesses Magic card data from an API, perform basic wrangling, then returns a JSON.

R data loaders

• penguin-kmeans.csv.R: Accesses penguins data from a local file, performs k-means clustering, and returns a CSV.
• tolstoy.json.R: Wrangles text of War and Peace, finds the most common words by chapter, then returns a JSON.
• penguin-mlr.zip.R: Accesses penguins data from a local file, performs multiple linear regression, and returns model estimates and predictions in two separate CSV files added to a Zip archive.

Shell script data loaders

• penguin.csv.sh: Starts a Python script within a shell script to access and wrangle penguins data from a local file, then returns a CSV.
• alt-fuel-stations.parquet.sh: Accesses U.S. alternative fuel station data, performs basic data wrangling in SQL with DuckDB, and returns an Apache Parquet file.
• caltrans-districts.json.sh: Accesses CalTrans district spatial data from a remote geojson with curl, and returns a JSON.

Executable data loaders

• diamonds.jpeg.exe: Specifies R interpreter with a shebang, then creates a scatterplot in ggplot2 and returns the chart as a JPEG.
• raven.txt.exe: Specifies Julia interpreter with a shebang, then accesses The Raven text and returns a single paragraph from the poem as text.