A data analysis project focusing on Walmart's sales data. Utilizes Python libraries such as Numpy and Pandas for data cleaning, transformation, and visualization to uncover business insights.
TECH STACK
PythonNumpyPandas
KEY FEATURES
Cleans and transforms raw Walmart sales data with Pandas and Numpy
Visualizes sales trends and seasonal patterns across stores
Surfaces business insights like top-performing categories and periods
Structured as a reproducible Python analysis notebook/pipeline
HOW IT WORKS
01Raw Walmart sales data is loaded and cleaned with Pandas
02Numpy and Pandas transformations prepare the data for analysis
03Visualizations highlight sales trends, seasonality, and top-performing categories
04Insights are compiled into a reproducible analysis notebook