surfs_up
Analyze weather on the island Oahu, Hawaii for a prospective start-up, a surf and ice cream shop.
Project Overview
- Using SQLite and SQLAlchemy, calculate the statistics on the precipitation and temperature from 01/01/2016 to 12/31/2017 on Oahu, Hawaii.
- Find all the stations in order to find the most active station for best results of statistics.
- Statistics on precipitation.
- Temperature Minimum, Maximum, and Average at Most Active Station
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Using Pandas, create a dataframe of weather analysis to organize the results, making it easier to read.
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Using Matplotlib style fivethirtyeight, visualize the weather analysis results.
- Preciptation Graph
- Temperature Graph using 12 bins
- Temperature Graph using 5 bins - proved using 12 bins provides a more descriptive graph.
- Create an app using Flask to display the output of the weather statistics to webpages for easy reviewing by W.Avy and the Board of Directors.
- Welcome Page Output
- Precipitation Page Output snippet
- Stations Page
- Monthly Temperature Page Output Snippet
- Minimum, Maximum, and Average Temperature for month of June 2017
Challenge
Project Overview
- Determine key statistical data about the month of June.
Precipitation Statistics
Temperature Statistics
- Determine key statistical data about the month of December.
Precipitation Statistics
Temperature Statistics
Observations and recommendations written in markdown in the Jupyter Notebook.
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Recommendations for further analysis.
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Compare the findings between the month of June and December.
Resource: existing database of weather on Oahu, hawaii.sqlite