An intro to designing accessible data visualizations by Sarah L. Fossheim
fossheim.io10 dos and don'ts for designing accessible data visualizations, including real-life examples and resources
This is the fourth post in a series about how missing data can bias data-driven decisions. In this post I cover how the use of data visualizations can cause data to go missing, how visualizations themselves cause data to go missing, why accessibility matters for data visualization, how a lack of labels and scales can mislead and misinform, and what to do about it.
This is the fourth post in a series about how missing data can bias data-driven decisions. In this post I cover how the use of data visualizations can cause data to go missing, how visualizations themselves cause data to go missing, why accessibility matters for data visualization, how a lack of labels and scales can mislead and misinform, and what to do about it.