How darshan0001-top/automated-data-processing-and-analytics-system works
This repository is a CSV sales-data cleaning and analytics tool. Its principal workflow starts from the interactive CLI or batch scan, then loads, cleans and transforms CSV data before producing sales analyses, a category report and charts. The README also describes scientific-data cleaning, grouping, aggregation and time-series analysis, reflected in the processing and analysis stages. The graph follows calls visible in sampled Python source; the dashboard files are not connected to that pipeline in the sampled code.
Main entry points: main.py Pipeline and CLI · processing.py CSV loading · analysis.py Report generation · sales.csv Input CSV files
Components 13
Entry and automation
- Pipeline and CLI
main.py
Data preparation
- Input CSV files
data/sales.csv - CSV loading
utils/processing.py - Data cleaning
utils/processing.py - Data processing
utils/processing.py
Analytics and outputs
- Summary statistics
utils/analysis.py - Category analysis
utils/analysis.py - Top products
utils/analysis.py - Report generation
utils/analysis.py - Visualization generation
utils/analysis.py - Generated reports
reports/category_summary_report.csv - Generated charts
reports
Other components
- CLI user
Connections 13
- CLI user → Pipeline and CLI: chooses mode
- Pipeline and CLI → Input CSV files: scans or selects
- Pipeline and CLI → CSV loading: loads file
- CSV loading → Input CSV files: reads CSV
- Pipeline and CLI → Data cleaning: cleans data
- Pipeline and CLI → Data processing: transforms data
- Pipeline and CLI → Summary statistics: calculates metrics
- Pipeline and CLI → Category analysis: analyzes categories
- Pipeline and CLI → Top products: ranks products
- Pipeline and CLI → Report generation: generates report
- Report generation → Generated reports: writes CSV
- Pipeline and CLI → Visualization generation: creates charts
- Visualization generation → Generated charts: writes images