From 362d1262cfd79fd114d494f8d3eaeba9a89093e1 Mon Sep 17 00:00:00 2001
From: Dan Wallace <69432266+wallacewd@users.noreply.github.com>
Date: Tue, 29 Sep 2020 12:55:39 -0400
Subject: [PATCH] Create README.md

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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
+
+This script uses python and requires the following libraries:
+- Pandas
+- Matplotlib
+- Numpy
+
+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
+
+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 The cdc updates this data weekly, so the example is now probably out of date for you.
+
+
+**** 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).
+
+**** 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").
+
+*** 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!