Data Analysis based on IRS Median Household Income and Indiana Department of Education Data Reports
Brent Thomas, Matt Houser, Chelsea Snedden, Emmanuel Olofinkua
Sources of Data for Analysis:
• IRS Individual Income Tax Statistics by Zip Code, 2017 https://www.irs.gov/statistics/soi-tax-stats-individual-income-tax-statistics-2017-zip-code-data-soi
• Indiana DOE School Corporation Data, 2017 https://www.doe.in.gov/accountability/find-school-and-corporation-data-reports
Is there a correlation between higher median income and higher test scores in Indiana? Is there a correlation between Muncie, Fort Wayne, and Indianapolis’ median incomes and test scores? (narrowing the scope)
Hypothesis: “If there is a correlation between median income and test scores, then the r-value of income to test score ratio will be greater than .5”
Null Hypothesis: “If there is no correlation between median income and test scores in Indiana, then the r-value of income to test score ratio will be 0.”
https://github.com/emmaolof/FirstProject/blob/master/Fantastic%20Four%20Final%20Project.ipynb
Importing Data: Importing CSVs and merging data
Cleaning Data: Removing duplicates, null, and incomplete values
Correlation Calculations: Statewide, Muncie, Fort Wayne, and Indianapolis
Data Visualizations: Scatterplots, Bar, and Pie Charts with Jupyter Notebook
Making Conclusions: Presenting results based on correlation calculations