Data science requires data. Yep. Insightful.
Unless you work at a data-rich organization, data can be hard to obtain. You may want to try out a new technique or tool. Alternatively, you may need additional data to fuse with your own limited in-house data. In either case, Nathan Yau’s updated list of public data sources might help.
He lists sources for the following types of data
- demographic
- health
- geographic
- news
- sports
- general purpose
