Ideas for simple regressions?

• zillow_real_estate

  3 98 0.0 Python

  Zillow.com Web Scraper written in Python and LXML to extract real estate listings available based on a zip code.

  

From IPUMS.org, you can collect data (you choose the variables that you want) on the US population (variables on race, gender, wages, education, etc). You might be interested in running a model that looks at wages = b0 + b1gender + . . . + e to calculate wage differences between gender. Or you could use https://github.com/scrapehero/zillow_real_estate to get housing prices on Zillow and look at the factors that tend to affect a houses price (square footage, location, etc).

• covid-19-data

  305 5,638 10.0 Python

  Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data (by owid)

  

Our World in Data has a frightening amount of data on the pandemic, all nicely cleaned, organized and free to download.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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