# ayushd64/movie_data-analysis architecture

> Architecture diagram of the GitHub repository ayushd64/movie_data-analysis, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-06-28). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/ayushd64/movie_data-analysis
- Repository: https://github.com/ayushd64/movie_data-analysis

## Overview

This repository is a small, document-heavy data analysis project rather than a multi-service application.

1. **Project scope**
   - The repo is centered on **movie data analysis**.
   - The README is minimal, so the architecture must be inferred from the artifact set rather than from source code structure.

2. **Primary deliverables**
   - Most of the repository consists of **project documentation PDFs**:
     - `Project_Proposal.pdf`
     - `Project Draft.pdf`
     - `Project Report.pdf`
     - `Query.pdf`
     - `WorkFlow.pdf`
   - These files likely capture the analysis plan, intermediate work, final write-up, query logic, and process flow.

3. **Processing layer**
   - `pre_processing.sh` is the only executable artifact in the repo.
   - This indicates a **batch preprocessing step** implemented as a shell script, likely used to clean, reshape, or extract data before analysis.

4. **Data artifact**
   - `target_table.csv` is the main structured data output in the repository.
   - It likely represents the **processed or normalized dataset** produced by the preprocessing step and consumed by the analysis/query stage.

5. **Data flow**
   - The core flow appears to be:
     - raw movie data enters preprocessing,
     - `pre_processing.sh` transforms it,
     - the result is written to `target_table.csv`,
     - analysis and query results are documented in the PDFs.
   - There is no evidence of a runtime application, API, or UI layer in this repo.

6. **Query/analysis boundary**
   - `Query.pdf` suggests that the analysis includes a **query-based extraction or reporting phase**.
   - The actual query execution engine is not present in the repo, so the project boundary likely ends at documented query logic and generated outputs.

7. **Workflow boundary**
   - `WorkFlow.pdf` likely describes the project’s end-to-end process.
   - In architecture terms, this repo seems to be organized around a **pipeline description plus a preprocessing script plus a final tabular output**.

8. **External dependencies**
   - No package manifests, notebooks, database configs, or service definitions are visible.
   - That suggests the project likely relies on **external execution context** for the analysis environment, with only the preprocessing shell script and CSV retained here.

9. **Infrastructure footprint**
   - There is no sign of deployment infrastructure, cloud resources, containers, or server-side components.
   - The architecture is therefore best drawn as a **local/offline analytics workflow** with documentation outputs.

10. **What to diagram**
   - A useful architecture diagram would show:
     - input movie dataset(s) outside the repo,
     - `pre_processing.sh` as the transformation component,
     - `target_table.csv` as the structured output,
     - PDF artifacts as documentation/reporting outputs.
   - The repo’s main boundary is between **data preparation** and **analysis/reporting documentation**.

11. **Overall characterization**
   - This is best described as a **single-stage preprocessing and reporting project** for movie data, with no visible application runtime.
   - The repository primarily preserves the artifacts of analysis rather than a full software system.

Main entry points: [`pre_processing.sh`](https://github.com/ayushd64/movie_data-analysis/blob/master/pre_processing.sh) (Preprocess), [`Project Draft.pdf`](https://github.com/ayushd64/movie_data-analysis/blob/HEAD/Project%20Draft.pdf) (Draft), [`target_table.csv`](https://github.com/ayushd64/movie_data-analysis/blob/master/target_table.csv) (Target table), [`WorkFlow.pdf`](https://github.com/ayushd64/movie_data-analysis/blob/master/WorkFlow.pdf) (Workflow)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_pipeline["Data pipeline"]
  node_input_data[("Movie data<br/>external input")]
  node_pre_processing["Preprocess<br/>shell script<br/>[pre_processing.sh]"]
  node_target_table["Target table<br/>csv output<br/>[target_table.csv]"]
end

subgraph group_docs["Project docs"]
  node_workflow_doc["Workflow<br/>process doc<br/>[WorkFlow.pdf]"]
  node_query_doc["Query notes<br/>analysis doc<br/>[Query.pdf]"]
  node_proposal_doc["Proposal<br/>planning doc"]
  node_draft_doc["Draft<br/>intermediate report<br/>[Project Draft.pdf]"]
  node_report_doc["Final report<br/>[Project Report.pdf]"]
end

node_input_data -->|"raw input"| node_pre_processing
node_pre_processing -->|"cleaned output"| node_target_table
node_target_table -->|"queried by"| node_query_doc
node_pre_processing -.->|"described in"| node_workflow_doc
node_query_doc -.->|"informs"| node_draft_doc
node_draft_doc -.->|"refines"| node_report_doc
node_proposal_doc -.->|"plans"| node_draft_doc
node_workflow_doc -.->|"summarized in"| node_report_doc

click node_pre_processing "https://github.com/ayushd64/movie_data-analysis/blob/master/pre_processing.sh"
click node_target_table "https://github.com/ayushd64/movie_data-analysis/blob/master/target_table.csv"
click node_workflow_doc "https://github.com/ayushd64/movie_data-analysis/blob/master/WorkFlow.pdf"
click node_query_doc "https://github.com/ayushd64/movie_data-analysis/blob/master/Query.pdf"
click node_proposal_doc "https://github.com/ayushd64/movie_data-analysis/blob/master/Project_Proposal.pdf"
click node_draft_doc "https://github.com/ayushd64/movie_data-analysis/blob/master/Project Draft.pdf"
click node_report_doc "https://github.com/ayushd64/movie_data-analysis/blob/master/Project Report.pdf"

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_input_data,node_pre_processing,node_target_table toneBlue
class node_workflow_doc,node_query_doc,node_proposal_doc,node_draft_doc,node_report_doc toneAmber
```

## Components

### Data pipeline

Preprocessing and structured output for the movie analysis dataset.

- **Movie data**: external input · Raw source data used for the analysis; not stored in the repo.
- [Preprocess](https://github.com/ayushd64/movie_data-analysis/blob/master/pre_processing.sh): shell script · Batch transformation step that cleans or reshapes the raw movie data. · `pre_processing.sh`
- [Target table](https://github.com/ayushd64/movie_data-analysis/blob/master/target_table.csv): csv output · Structured dataset produced by preprocessing and used for downstream analysis. · `target_table.csv`

### Project docs

Planning, workflow, query notes, and report artifacts.

- [Workflow](https://github.com/ayushd64/movie_data-analysis/blob/master/WorkFlow.pdf): process doc · End-to-end process description for the project. · `WorkFlow.pdf`
- [Query notes](https://github.com/ayushd64/movie_data-analysis/blob/master/Query.pdf): analysis doc · Query logic or reporting design for the analysis phase. · `Query.pdf`
- [Proposal](https://github.com/ayushd64/movie_data-analysis/blob/master/Project_Proposal.pdf): planning doc · Initial project scope and analysis plan. · `Project_Proposal.pdf`
- [Draft](https://github.com/ayushd64/movie_data-analysis/blob/HEAD/Project%20Draft.pdf): intermediate report · Intermediate write-up or checkpoint for the analysis. · `Project Draft.pdf`
- [Final report](https://github.com/ayushd64/movie_data-analysis/blob/HEAD/Project%20Report.pdf): report · Final analysis write-up and conclusions. · `Project Report.pdf`

## Connections

- Movie data → Preprocess: raw input · External movie dataset enters the preprocessing step.
- Preprocess → Target table: cleaned output · Script writes the normalized or processed table.
- Target table → Query notes: queried by · Structured data supports the query/reporting phase documented in the repo.
- Preprocess → Workflow: described in · Workflow documentation explains the pipeline step.
- Query notes → Draft: informs · Query design feeds intermediate analysis writing.
- Draft → Final report: refines · Draft evolves into the final report.
- Proposal → Draft: plans · Initial scope leads into the intermediate analysis.
- Workflow → Final report: summarized in · Overall process is reflected in the final report.