Pairing up insurance rates with weather data that can be searchable via user input.
The idea of this project is to create a flask app to serve up to a client a bevy of data (in this case Auto insurance rates and weather data) for any zip code, city, or state that the client may request.
We have broken this project execution down into several phases:
We need to extract all the data we intend to serve up to the client. In this case, Auto insurance rates – we intend to scrape insurance rates from various zip codes across the country. We will then pull weather data for same zip codes using API calls.
Data sources:
Auto Insurance data:
https://www.autoinsurance.org/quoting-auto-insurance-rates-by-zip-code/
Weather data:
http://api.openweathermap.org/api
We will clean and merge the data from each resource. The creation and utilization of a flask app will allow the user to extract auto insurance data as well as weather data for comparison and/or analysis.
We then intend to load said data into a postgres database, join the data tables by location, and produce the information via a search, all from our flask server.
The flask app allows callable the data when a client requests information via each route.