NFL 2018 Weather App

Question

The NFL 2018 Weather App attempts to assist in answering the question "Is there any relationship scoring between weather conditions and scoring in NFL games in 2018?" by providing users a statistical charts of NFL Scoring and weather data.

Methodology

To provide a user these charts, first the app reads data from a CSV (2018_nfl_results.csv) that contains the final results of every regular season game in 2018. It then makes calls to the Google Geocoding API to obtain the latitude and longitude of the stadia these games to make an API call to the Dark Sky API to obtain the weather conditions at the start of the game. Both the game results and their associated weather conditions are combined and then persisted to a database where this data can be retrieved for use in statistical charts based on scoring and temperature, general conditions (i.e. indoors, precipitation, no precipitation) and both temperature and conditions.

Running the App

1. Clone the project

   git clone https://github.com/ryansallee/NFL_2018_Weather.git
   cd NFL_2018_Weather

2. Run the Project using Maven

   mvn clean package exec:java -Dexec.mainClass=org.codelouisville.App
   

3. The console will prompt you for the API keys for Google Geocoding as well for DarkSky. Please enter the keys.
4. Enjoy!

Dependencies

• JDK 12
• Maven
• JavaFx 12
• OpenCSV
• JSONPath
• Dark-Sky Forecast API
• Hibernate 5.4.3
• H2 Database

Data Sources:

• 2018 NFL Weekly League Schedule | Pro-Football Reference
• Google Geocoding API
• Dark Sky

Special Notes

1. Please note that the H2 database that is created by the app will be stored in your user root folder(e.g. C:\Users[your_ user_name]). If you do not wish to retain these database files, you will need to delete the following files from your user root folder:

• game.mv
• game.trace
• .h2.server

Questions?

Please feel free to contact me at [[email protected]](mailto: [email protected]).