A chart begins before the chart
Students in the community-data exercise start by reading the data dictionary. Each field has a definition, each record has a role and each proposed comparison asks for a reason.
The class uses a synthetic neighborhood-access dataset designed for teaching. Its numbers do not describe an actual neighborhood, which gives students room to test methods without presenting invented values as a public finding.
Make the method visible
Dr. Priya Shah asks groups to keep a record of cleaning and transformation decisions. A chart that looks clear can still hide a change in what was counted, so the method stays beside the result.
Students exchange drafts and describe how they read another group’s layout. Titles, labels and uncertainty notes are revised when the interpretation differs from what the authors intended.
An explanation for an audience
The final exercise combines the data dictionary, a reproducible sequence and a short visual narrative. Each group identifies the question answered and the question the available fields cannot answer.
The project connects Data Analytics with the Community Studio approach: define a useful task, choose an appropriate method, produce a form someone can use and record what review changed.