This wonderful guide to standardizing data and getting to open data can help you walk through a new data project. The Open Data Institute published it in 2018 — mainly out of the UK. It helps you make sure that you know what problem you are solving, and then starting to develop, refine, and manage data standards: Frame the problem Before … Read More
Princeton University’s Eviction Lab has a robust set of data, maps, and visuals that show the level of Eviction cases and problems around the U.S. You can explore the map to see rates of evictions, numbers of evictions, rates of evictions, rates of filings, and census demographics about poverty and housing. You can compare them with national averages.
The leading national funder of civil legal aid, the Legal Services Corporation, has a public repository of data and data visualizations on Tableau. At this page, you can find their data sets and their visualizations about: the types of legal needs people have demographics of people their grantees serve what their grantees are doing with funds outcomes of the services, like … Read More
MALLET is an open source software tool to make sense of text through machine learning. MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text. MALLET includes sophisticated tools for document classification: efficient routines for converting text to “features”, a wide variety of algorithms (including Naïve … Read More
Civic Data Design Lab is a project out of MIT’s Dept. of Urban Studies & Planning, that focuses on how data-based visuals and tools can be used to improve citizenship — and citizens’ relations with the government. From their site: The Civic Data Design Lab works with data to understand it for public good. We seek to develop alternative practices … Read More