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Python data project Code Louisville
This project forked from brettlaguerra/data_project
Python data project Code Louisville
This is a Jupyter Notebook that shows how many hours need to be worked monthly in order to pay rent at the national minimum wage($7.25) and the average of all state minimum wages($9.51). This does include Washington D.C. and Puerto Rico. This does not account for income tax. The data used is the csv that can be downloaded at https://www.kaggle.com/jweinflash/us-rent-by-county/data or is available on this github page labeled rent_data.csv The only requirement to visualize this data is to install Anaconda; which can be installed at https://www.anaconda.com/download/ The first table is the csv file imported with no alterations(Out[3]). The second table shows each state's abreviation, mean rent per month, monthly hours worked at national minimum, and monthly hours worked at average minimum(Out[7]). The first bar graph is a representation of mean monthly rent in descending order(Out[8]). Lastly the second bar graph shows a comparison of the number of hours worked monthy at both the national minimum and the average minimum wages in descending order(Out[9]). In order to see all of this you must run visualize.ipynb with Jupyter Notebook. Follow the steps and compile the notebook. The comments on each cell will give a description of what is happening along with any unusual changes that had to be made. Enjoy!
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