Public data is increasingly available from multiple sources: governments
, and research communities
, to name a few. Open access is a fundamental prerequisite for civic participation and transparency, but freely-available and intuitive tools that allow users to extract meaningful narratives from the data are also crucial. That was our central motivation to develop the visualization tool Mirador
, and also for the Mirador Data Competition
we launched last month. The richness of public datasets is often extraordinary, and many of them are the result of the continued efforts of data collection teams, statisticians, and researchers over several years, sometimes decades
. In this post, I would like to share some associations I found using Mirador on a large dataset of behavioral risk factors. These associations stand here simply as suggestive hints or directions that one can use to delve further into the data using more rigorous statistical analyses. This highlights the main purpose of Mirador as a visual exploratory tool.