/Surfs-up

We are asked to assess the feasibility of opening up a surf shop by obtaining the temperature data for June and December. This is done by utilizing SQL ALCHEMY and creating a SQLite database engine.

Primary LanguageJupyter Notebook

Surfs-up

Overview of the analysis

We are asked to assess the feasibility of opening up a surf shop by obtaining the temperature data for June and December. This is done by utilizing SQL ALCHEMY and creating a SQLite database engine. Finally, I make a query from the temperature data by filtering for the given months.

Results

  • As shown in the images*, The session query for the first deliverable gives us 1700 temperatures with an average of 75 for June with a minimum of 64. f.jpg g.jpg
  • The session query for the second deliverable as presented in the images gives us 1517 temperatures with an average of 71 for December with a minimum of 56. h.jpg l.jpg