walmart-sales-analyzer

Overview

walmart-sales-analyzer is a built-in analysis skill for Walmart sales datasets.

It focuses on trends between weekly sales and unemployment rates, then packages the findings into a business-facing HTML report.

Repo path

skills/walmart-sales-analyzer/
├── SKILL.md
├── scripts/
│   ├── generate_html_report.py
│   ├── generate_correlation_heatmap.py
│   ├── generate_sales_unemployment_scatter.py
│   ├── generate_time_series_trend.py
│   ├── generate_store_avg_comparison.py
│   └── font_setup.py
└── templates/
    └── report_template.html

When to use it

• analyze Walmart sales CSV data
• explore sales vs unemployment relationships
• generate comparison charts and trends
• render a polished business HTML report

Core workflow

1. Validate that the uploaded file contains Walmart sales data.
2. Run generate_html_report.py or the related chart scripts.
3. Pass the analysis text and titles into html_interpreter.
4. Render the final report with the bundled template.

Important resources

Resource	Purpose
scripts/generate_html_report.py	End-to-end report generation entry point
scripts/generate_correlation_heatmap.py	Correlation analysis chart
scripts/generate_sales_unemployment_scatter.py	Sales vs unemployment regression chart
scripts/generate_time_series_trend.py	Store trend tracking
scripts/generate_store_avg_comparison.py	Average store comparison
templates/report_template.html	Final responsive report template

Output expectations

This skill emphasizes:

• visual trend explanation
• business interpretation
• regional and store comparison
• executive summary and recommendations