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Creating a visual graph based on a trimmed down census of Wyoming. Compares male and female population.

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data_analysis

The data altered here is from the following link - https://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?src=bkmk

Data that is being visualized

I decided to trim the data down so that it shows the estimated population of Weston County, Wyoming. What I am visually showing is the number of Male and Females within the ages of 10 - 79, from 2010 - 2017.

Library used

Pandas

Visual Representation

Jupyter Notebook

Getting started

  • First download Anaconda by following this link https://www.anaconda.com/download/#macos (ensure that you are downloading version 3.6)
  • Once installed navigate to your applications folder and launch Anaconda Navigator
  • With the launcher up click launch on the Jupyter Notebook from the list of applications (this should automatically launch the localhost url in your browser)
  • On that url homepage select new > python 3
  • Within the new page you can type your python code and then press shift + enter to have the code you typed actually rendered within Jupyter Notebook
  • Use the jupyter_inputs.py code inside of the interpreter

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Creating a visual graph based on a trimmed down census of Wyoming. Compares male and female population.

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