Retail Ts Analysis
RetailTS is a data visualization and exploratory analytics project focused on uncovering trends, patterns, and seasonal behaviors in retail sales using time series analysis techniques.
Install / Use
npx skills add asupraja3/retail-ts-analysisInstalls into whichever agent you are using.
README
RetailTS — Retail Sales Time Series Analysis
RetailTS is a data visualization and exploratory analytics project focused on uncovering trends, patterns, and seasonal behaviors in retail sales using time series analysis techniques.
It provides key insights into monthly trends, regional performance, and anomaly detection in sales data.
Features
- Time series aggregation by month and year
- Moving average trend visualization
- Regional sales comparison
- Automated anomaly detection in sales data
- All plots saved automatically to the
images/folder
Tech Stack
- Python
- Pandas
- NumPy
- Matplotlib
- Seaborn
Related Skills
codebase-memory-mcp
38.0kHigh-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
codebase-memory-mcp
38.0kHigh-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
codebase-memory-mcp
38.1kHigh-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
tabularis
4.0kOpen-source desktop SQL workspace for PostgreSQL, MySQL/MariaDB, SQLite and 15+ more databases like DuckDB, ClickHouse, Redis and Firestore. Built-in MCP server for Claude, Cursor and Devin, SQL notebooks and visual EXPLAIN.
