# darshan0001-top/automated-data-processing-and-analytics-system architecture

> Architecture diagram of the GitHub repository darshan0001-top/automated-data-processing-and-analytics-system, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-09-26). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/darshan0001-top/automated-data-processing-and-analytics-system
- Repository: https://github.com/darshan0001-top/automated-data-processing-and-analytics-system

## Overview

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`](https://github.com/darshan0001-top/automated-data-processing-and-analytics-system/blob/main/main.py) (Pipeline and CLI), [`utils/processing.py`](https://github.com/darshan0001-top/automated-data-processing-and-analytics-system/blob/main/utils/processing.py) (CSV loading), [`utils/analysis.py`](https://github.com/darshan0001-top/automated-data-processing-and-analytics-system/blob/main/utils/analysis.py) (Report generation), [`data/sales.csv`](https://github.com/darshan0001-top/automated-data-processing-and-analytics-system/blob/main/data/sales.csv) (Input CSV files)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_entry["Entry and automation"]
  node_main["Pipeline and CLI<br/>[main.py]"]
end

subgraph group_data["Data preparation"]
  node_csv["Input CSV files<br/>[sales.csv]"]
  node_load["CSV loading<br/>[processing.py]"]
  node_clean["Data cleaning<br/>[processing.py]"]
  node_transform["Data processing<br/>[processing.py]"]
end

subgraph group_insights["Analytics and outputs"]
  node_summary["Summary statistics<br/>[analysis.py]"]
  node_category["Category analysis<br/>[analysis.py]"]
  node_products["Top products<br/>[analysis.py]"]
  node_report["Report generation<br/>[analysis.py]"]
  node_charts["Visualization generation<br/>[analysis.py]"]
  node_reports["Generated reports"]
  node_chartfiles["Generated charts"]
end

node_user(("CLI user"))

node_user -->|"chooses mode"| node_main
node_main -->|"scans or selects"| node_csv
node_main -->|"loads file"| node_load
node_load -->|"reads CSV"| node_csv
node_main -->|"cleans data"| node_clean
node_main -->|"transforms data"| node_transform
node_main -->|"calculates metrics"| node_summary
node_main -->|"analyzes categories"| node_category
node_main -->|"ranks products"| node_products
node_main -->|"generates report"| node_report
node_report -->|"writes CSV"| node_reports
node_main -->|"creates charts"| node_charts
node_charts -->|"writes images"| node_chartfiles

click node_main "https://github.com/darshan0001-top/automated-data-processing-and-analytics-system/blob/main/main.py"
click node_csv "https://github.com/darshan0001-top/automated-data-processing-and-analytics-system/blob/main/data/sales.csv"
click node_load "https://github.com/darshan0001-top/automated-data-processing-and-analytics-system/blob/main/utils/processing.py"
click node_clean "https://github.com/darshan0001-top/automated-data-processing-and-analytics-system/blob/main/utils/processing.py"
click node_transform "https://github.com/darshan0001-top/automated-data-processing-and-analytics-system/blob/main/utils/processing.py"
click node_summary "https://github.com/darshan0001-top/automated-data-processing-and-analytics-system/blob/main/utils/analysis.py"
click node_category "https://github.com/darshan0001-top/automated-data-processing-and-analytics-system/blob/main/utils/analysis.py"
click node_products "https://github.com/darshan0001-top/automated-data-processing-and-analytics-system/blob/main/utils/analysis.py"
click node_report "https://github.com/darshan0001-top/automated-data-processing-and-analytics-system/blob/main/utils/analysis.py"
click node_charts "https://github.com/darshan0001-top/automated-data-processing-and-analytics-system/blob/main/utils/analysis.py"
click node_reports "https://github.com/darshan0001-top/automated-data-processing-and-analytics-system/blob/main/reports/category_summary_report.csv"
click node_chartfiles "https://github.com/darshan0001-top/automated-data-processing-and-analytics-system/tree/main/reports"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_main,node_user toneBlue
class node_csv,node_load,node_clean,node_transform toneAmber
class node_summary,node_category,node_products,node_report,node_charts,node_reports,node_chartfiles toneMint
```

## Components

### Entry and automation

- [Pipeline and CLI](https://github.com/darshan0001-top/automated-data-processing-and-analytics-system/blob/main/main.py): `main.py`

### Data preparation

- [Input CSV files](https://github.com/darshan0001-top/automated-data-processing-and-analytics-system/blob/main/data/sales.csv): `data/sales.csv`
- [CSV loading](https://github.com/darshan0001-top/automated-data-processing-and-analytics-system/blob/main/utils/processing.py): `utils/processing.py`
- [Data cleaning](https://github.com/darshan0001-top/automated-data-processing-and-analytics-system/blob/main/utils/processing.py): `utils/processing.py`
- [Data processing](https://github.com/darshan0001-top/automated-data-processing-and-analytics-system/blob/main/utils/processing.py): `utils/processing.py`

### Analytics and outputs

- [Summary statistics](https://github.com/darshan0001-top/automated-data-processing-and-analytics-system/blob/main/utils/analysis.py): `utils/analysis.py`
- [Category analysis](https://github.com/darshan0001-top/automated-data-processing-and-analytics-system/blob/main/utils/analysis.py): `utils/analysis.py`
- [Top products](https://github.com/darshan0001-top/automated-data-processing-and-analytics-system/blob/main/utils/analysis.py): `utils/analysis.py`
- [Report generation](https://github.com/darshan0001-top/automated-data-processing-and-analytics-system/blob/main/utils/analysis.py): `utils/analysis.py`
- [Visualization generation](https://github.com/darshan0001-top/automated-data-processing-and-analytics-system/blob/main/utils/analysis.py): `utils/analysis.py`
- [Generated reports](https://github.com/darshan0001-top/automated-data-processing-and-analytics-system/blob/main/reports/category_summary_report.csv): `reports/category_summary_report.csv`
- [Generated charts](https://github.com/darshan0001-top/automated-data-processing-and-analytics-system/tree/main/reports): `reports`

### Other components

- **CLI user**

## Connections

- 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