Repository containing Jupyter notebook files from my experience learning clean data analysis habits. Shows proper hygiene for ETL, utilizing pandas, pyplotlib, and other data analysis python libraries.
EDA Project: Explores the data structure of a given dataset split through multiple CSV files. Shows how to fix common data discrepencies, add context/aggregate columns based on given information, and transform pandas dataframes into data visualization graphs using pyplotlib.
SDA Project: Explores the data structure of given dataset split thropugh multiple CSV files. Adds another layer of how to utilize cleaned data to not only visualize the data but also draw statistical conclusions from the data utilizing scipy.
data-eda: Contains a short description of the different datasets mentioned in the EDA project and what each dataset and columns in the respective datasets represent.
data-sda: Contains the original CSV files referenced in the Jupyter Notebook and a short description of the columns in each dataset and what they represent.