Soft Story Data Product Recommendations

[oscarsyu]

Context

The soft story dataset is at the heart of this project. We need to know how to use this data to present analytics to users. This task is to analyze the dataset and come up with recommendations, and new metric if applicable, for what data to show to users on the fron-end.

Definition of Done

• Two levels of granularity to consider
  • user level data points (ex a user searches for an address)
  • general trends (or segmented by neighborhood, etc)
• Come up with a recommendations for data points you think would be useful to display either to a user who is searching for info about their address, or users who are interested in learning about earthquake safety as a whole for sf

Engineering Details

• notebook, doc, demo, etc on what data to use, and how to present it (visualizations, metric definitions, etc).
• Please also work with the person who is building the centralized documentation on metric definitions and citations

[mackcooper1408]

Looks good! Same note on deciding on where/how to document