CallLogAnalysis

Call Log Analysis

An interactive web dashboard built with Streamlit and Plotly that visualizes call log data, uncovering communication patterns and hidden insights from your phone records.

Live Demo

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Features

• Incoming vs Outgoing Breakdown -- Compare the total number and duration of incoming and outgoing calls per contact.
• Total Call Duration -- See how much time you spend on the phone with each person.
• Average Talk-Time -- Identify contacts with the longest (or shortest) average call length.
• Missed Call Ranking -- Find out who gives you the most missed calls.
• Rejected Call Analysis -- View calls rejected by you and calls of yours rejected by others.
• Call Schedule Heatmap -- Discover which hours of the day you are most active on the phone, split by direction.
• Person-Wise Deep Dive -- Select any contact to see a full statistical breakdown of your call history with them.

Screenshots

Total Incoming vs Outgoing

Call Schedule

Person-Wise Analysis

Tech Stack

Layer	Technology
Frontend / App	Streamlit
Visualization	Plotly Express
Data Processing	pandas
Language	Python 3.8+

Run Locally

1. Clone the repository

   git clone https://github.com/Mazhar004/python-data-visualization.git
   cd python-data-visualization/Streamlit/CallLogAnalysis

2. Install dependencies

   pip install -r requirements.txt

3. Start the app

   streamlit run app.py

   The dashboard will open in your browser at http://localhost:8501.

Project Structure

CallLogAnalysis/
├── app.py                  # Streamlit application entry point
├── requirements.txt        # Python dependencies
├── data/
│   └── Artifical_Call_Log_Data.csv   # Sample call log dataset
├── images/                 # Screenshot assets for documentation
├── notebook/
│   ├── Artificial Data Generate.ipynb  # Notebook to generate sample data
│   └── Call Log Analysis.ipynb         # Exploratory analysis notebook
└── utils/
    ├── __init__.py
    ├── figconfig.py        # Analysis method configurations
    ├── figview.py          # Chart generation functions
    ├── preprocessing.py    # Data loading and filtering helpers
    └── utils.py            # Aggregation and formatting utilities

Data

The included dataset (Artifical_Call_Log_Data.csv) is artificially generated. Each record contains a contact name, phone address, call direction, call status, duration, and timestamp.