chrislkeller/annual-nieman-predictions-for-journalism
A quick and dirty method to allow me to read all 65 of Nieman Lab's 2015 predictions for journalism in one article saved to Instapaper
Uses the sunlight python library to write Wisconsin state senators data to csv, which is written to the fusion tables python library and mapped using the Google maps and fusion tables API.
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A quick and dirty method to allow me to read all 65 of Nieman Lab's 2015 predictions for journalism in one article saved to Instapaper
A collection of introductions to various datasets, giving journalists some friendly background before they start doing analysis. Like "Hitchhiker's Guide to the Galaxy," only for journalists. And about datasets.
Using code created by the Los Angeles Times Data Desk and its Checkbook LA Watchdog project this is a "periodically updated archive of data" published by the city of Los Angeles on its open data portal: https://data.lacity.org/
First attempt at Django project template. Used https://github.com/lincolnloop/django-layout/ as a base.