This repository was created for Professor Gotzler's English 105 class in the Fall 2023 semester at UNC Chapel Hill.
- This repository contains two
csv
files, found in the Data folder.
- The NC.UnemploymentAdultObesity_Data.csv file contains the subset of data useful to analyze the Unemployment and Adult Obesity. It only contains data from North Carolina. It was created using the instructions found in the Python notebook.
- The CountyHealthData_2014-2015.csv file contains the raw data set.
- The repository also includes the Python notebook that documents the process for crafting the subset of data from the original data.
The raw data set was acquired by Prof. Gotzler in the course, English 105. The data came from Davis Library Research Hub.
- This repository brings awareness to the high percentages of unemployment and adult obesity in North Carolina in 2014 and 2015.
- Social workers and policy makers could find this information useful as they address social difficulties. We can not conclude that correlation between adult obesity and unemployment means causation between the two, we can greater analyze the relationship to prevent further increase in numbers.
- The data gives dates of when the data was recorded.
- The data provideds statistics regarding the amount of Adult Obesity prevelant in society.
- The data provides statistics that show the amount of Unemployment prevelant in society.
- This allows for the possibilty of analyzing correlation.
After you have read this ReadMe page, you can go to the Data folder. This folder will give you access to the raw data set and the subset data. After you download the raw data set, feel free to go to Python, and reproduce the dataframes. You can follow my step-by-step instructions to create a subset of the raw data set. The instructions are in the Python notebook.