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# CDC-United-States-Total-Yearly-Deaths-Visualized | ||
This script uses pandas/numpy/matplotlib to collect, organize, process and display a large data set | ||
Author: Dan Wallace | ||
Date: 09/29/2020 | ||
Website: www.brick.technology | ||
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This script uses python and requires the following libraries: | ||
- Pandas | ||
- Matplotlib | ||
- Numpy | ||
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You can download the latest "Weekly Deaths by State and Age" csv from the cdc website: | ||
https://www.cdc.gov/nchs/nvss/vsrr/covid19/excess_deaths.htm | ||
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I have provided a example csv from 9/29/2020. The cdc updates this data weekly, so the example is now probably out of date for you. | ||
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**** Step 1: | ||
Download both the python file and the example csv and place them in the same folder (you can just download the folder i provided). | ||
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**** Step2: | ||
If you have the correct libraries already installed, run the code in your perfered IDE. | ||
The example data provided should load because it is relative to the folder i provided. | ||
(If this doesn't work for you, copy the whole path name ex: C:/Users/Example/Example.csv and paste into the variable "path"). | ||
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*** Step 3: | ||
Get creative. This is just a basic example of how to organize and process a large data set! Explore the csv and the code and see what you come up with! |