Open Dataset Starting Points#
The sources below are starting points you might consider for your own dashboard analysis. Choose one you find interesting that gives you a question to investigate.
Area |
Dataset / source |
Why it could work |
|---|---|---|
Local / Durham |
Local, visual, structured; good for maps, filtering, dashboards, and ecosystem-benefit examples. |
|
Parks / time series |
Annual and monthly park visitation data; good for trends, seasonality, and comparison across places. |
|
Higher ed |
Institutions, costs, programs, outcomes, debt, and earnings; strong for education dashboards. |
|
Research / scholarly metadata |
Works, authors, institutions, sources, and topics; good for analyzing research trends. |
|
Weather / climate |
Forecasts, alerts, and observations; good for API and local dashboard examples. |
|
Census / demographics |
Population, housing, income, commuting, and education data; useful for maps and public data lessons. |
|
Environment / health |
Local health indicators by county, place, census tract, and ZIP Code Tabulation Area. |
|
Arts / culture |
Public art collection data; good for search, filters, categories, dates, and maps. |
|
Playful / animals |
Fun and approachable; good for categories, maps, filtering, and counts. |
|
Playful / media |
Small and easy to understand; good for categorical summaries of trees, mountains, clouds, cabins, lakes, and other painting elements. |
Before building, write down the dashboard question in one sentence. Then inspect the source enough to confirm the data has the fields, license, and access pattern your dashboard needs.