Communicating Imperfect Data Responsibly
Allison Plyer (the Data Center in New Orleans) and Laura McKieran (CINow in San Antonio) share strategies for presenting imperfect data to help audiences interpret and use the data appropriately. We want to be responsible when communicating issues such as uncertainty in survey estimates, changes in collection methods, and the limitations of data.
CINow Resources
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Strategies to Deal with Data Uncertainty and Limitations (PDF): a compilation of strategies to communicate uncertainty and limitations of data in data platforms and reports, with CINow examples.
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GitHub R-code for both trend and bar charts that show MOEs
Other Resources
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Thinking Critically When Using Indicators about Young People: a guide with questions to consider in selecting and interpreting indicators about young people, but applicable to any data
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Understanding Error and Determining Statistical Significance (Understanding and Using ACS Data Handbook, Ch. 7)
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Responsible Data Sets in Context seeks to strengthen student capacity to work with data responsibly by providing useable datasets and models for responsible data documentation, storytelling, and analysis.