Find and Know Your Data

Searching for Open Data

Increasing numbers of governmental agencies and non-profit organizations are publicly sharing open data on the web. When starting a new data visualization project, ask yourself these questions:

  • Do I have the most relevant data for my project?
  • Is it the most current data, in the most user-friendly format?
  • Is data available at the individual level, or aggregated into larger groups?
  • Which organizations might have collected data for my topic?
  • Which open data repositories might have published this data?

What features do open repositories offer?

  • View and export: At minimum, most open data repositories allow users to view their data and export it into common spreadsheet formats. Some also provide geographical boundaries for polygon maps.
  • Built-in visualization tools: Some repositories offer built-in tools for users to create interactive charts or maps on the platform site. Some also provide code snippets for users to embed these built-in visualizations into their own websites.
  • Static and Live data: Most repositories offer static datasets for a specific time period, but some also provide "live" data that is continuously updated.
  • Application Programming Interface (APIs): Some repositories provide endpoints with code instructions that allow users to pull data directly from the platform into an external sites or online visualization, which is ideal for continuously updated data.

Know Your Data

Before starting to create charts or maps, get to know your data.

  • Where did it come from?
  • Who compiled the data, and for what purpose?
  • What do the data labels really mean?
  • Ask yourself: Am I working with the most recent version, in the best available format?

TO DO add resource https://github.com/Quartz/bad-data-guide

open data inception 1600+ sites portal http://opendatainception.io/

  • Know your data: go out into the field to directly observe how the original data is measured and collected

https://www.opendatanetwork.com/

Closely examine your data files to understand their meaning, sources of origin, and limitations. TO DO expand on this theme with examples of bad and misleading data

1) Always ask: Am I using the best available data?

Compare the HFS list to the City of Hartford’s current list of food establishments: https://data.hartford.gov/browse go to Public Health Category click on the “dataset” version (updated 10 Feb 2016), which is same data but different view than the “map” version click on light blue “export” button into any format you wish to compare with the HFS list (see screenshot) decide which list is best for your organization’s goal

In this week’s seminar, one of our guests is Brett Flodine, who manages City of Hartford open data repository, and he can answer your questions about this data, as well as the pros/cons of his map version.

Data Visualization For All is copyrighted by Jack Dougherty and contributors and distributed under a Creative Commons Attribution-NonCommercial 4.0 International License. You may freely share and modify this content for non-commercial purposes, with a source credit to http://DataVizForAll.org.
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