Netflix Data Analysis Dashboard

Overview

A Python data analytics application that cleans, profiles, analyses and visualises the Netflix catalogue using pandas, Plotly and Streamlit.

Dataset source: Netflix Titles dataset from Kaggle.

Features

• Data cleaning pipeline
• Automated analysis
• Interactive dashboard
• Geographic visualisation
• Data quality reporting
• Automated insights

Architecture

CSV Dataset │ ▼ DataLoader │ ▼ DataCleaner │ ▼ DataAnalyzer │ ▼ AnalysisReport │ ▼ Streamlit Dashboard

Exploratory Analysis Notebook

The project includes an exploratory analysis notebook (notebooks/exploration.ipynb) that documents the initial investigation of the Netflix dataset.

The notebook was used to:

• Understand the structure and contents of the dataset
• Explore distributions and trends before dashboard development
• Identify missing values and potential data quality issues
• Investigate unusual values and inconsistencies
• Validate the analytical approach used in the dashboard

The notebook provides the analytical process behind the dashboard, while the Streamlit application presents the final interactive insights and visualisations.

Technologies

• Python
• pandas
• Streamlit
• Plotly
• Object-Oriented Programming

Project Structure

data-cleaning-dashboard/ dashboard/ app.py charts.py components.py data/ processed/ raw/ netflix_titles.csv exploration/ exploration.ipynb src/ analysis_report.py config.py data_analyzer.py data_cleaner.py data_loader.py screenshots/ dashboard_overview.png geography.png data_quality.png main.py dashboard.bat

Running

python main.py (to create cleaned datasets)

dashboard.bat (to run the dashboard web interface and explore the cleaned data) or streamlit run dashboard/app.py

Screenshots

Future Improvements

Creating a Dashboard class to better run the dashboard creation in app.py.