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Data Science Techniques for Exploring Data

US Tornado Data

 Storm Events Database 

NOAA Storm Events Database

The Storm Events Database contains the records used to create the official NOAA Storm Data publication, documenting:


The occurrence of storms and other significant weather phenomena having sufficient intensity to cause loss of life, injuries, significant property damage, and/or disruption to commerce.

Rare, unusual, weather phenomena that generate media attention, such as snow flurries in South Florida or the San Diego coastal area; and

Other significant meteorological events, such as record maximum or minimum temperatures or precipitation that occur in connection with another event.


The database currently contains data from January 1950 to September 2021, as entered by NOAA's National Weather Service (NWS). Due to changes in the data collection and processing procedures over time, there are unique periods of record available depending on the event type. NCEI has performed data reformatting and standardization of event types but has not changed any data values for locations, fatalities, injuries, damage, narratives and any other event specific information.


https://www.ncdc.noaa.gov

Download the Data Set and Python Jupyter Notebook

tornadomaster (csv)Download
tornado_ml.ipynb (txt)Download

GitHuB

View and Download the full model on GitHub

GitHuB


Below are some examples of the code and output found in the Jupyter Notebook file from above.  The notebook contains more code blocks than are listed below.  Lots of fun stuff to play with.

Import Libraries and .csv file

Explore The Data

Screen Shots of Output Layers from the above code blocks

    Matplotlib Bar Graph

    Matplotib Output Bar Plot

    As we can see above the scale of tornados by states from 2010 to 2021

    • Texas > 3,400
    • Oklahoma > 3,000
    • Mississippi < 3,000
    • Alabama < 3,000
    • Illinois < 3,000

    Matplotlib Bar Plot Cluster

    Matplotib Output for Bar Clusters

    Observations

    • Approximately 5500 tornados were recorded to be an EF1 and < 1000 EF3, EF4, and EF5
    • 2011 had the largest outbreak with > than 2000 tornados occurring 
    • May, April, June are the Peak for tornado season
    • Most tornados begin on the 27th day of the month

    Seaborn Scatter and Bar Plot Clusters

    Seaborn Output for Bar Clusters

    Observations

    •  In the scatter plot we can compare length to width on the tornadoes Max length in miles is > 40
    •  Max width is > 4000 feet wide
    •  We can also compare EF scale to length and width

    Folium Map Library

    Folium Map Library Output

    This is why its called Tornado Alley! A map of all EF4 and EF5 tornados in the past decade.

     Above you can see a Map of all tornadoes from the past 10 years.  Using longitude and latitude we can map the locations of were they begin!

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