Mainabryan/TUNUSIAN-BILLING-ANALYSIS

This project analyzes Tunisian electricity and gas billing data from 2005 to 2019. It covers data cleaning, handling missing values, encoding features, and performing EDA. The goal is to uncover usage patterns and client behavior. An optional Streamlit app provides interactive exploration of client bills and consumption trends. # Tunisian Billing Analysis Web App This Streamlit application provides an interactive interface for exploring and analyzing electricity billing data from Tunisia. It includes data visualization and predictive modeling features to help identify consumption patterns and forecast future usage. --- ## 📊 Dataset Overview The dataset contains information about electricity bills for clients in Tunisia. Key columns include: - `client_id`: Unique identifier for each customer - `invoice_date`: Date the bill was issued - `tarif_type`: Type of tariff plan - `counter_number`: Meter ID - `counter_code`: Code related to the meter - `counter_coefficient`: Coefficient for scaling consumption - `consommation_level_1` to `consommation_level_4`: Electricity consumption in different levels - `old_index`, `new_index`: Meter readings before and after - `months_number`: Billing duration in months - `counter_type`: Type of counter - `counter_type_encoded`: Numeric encoding of counter type --- ## 🚀 Features - Interactive data exploration using Streamlit - Visualizations: line charts, bar graphs, histograms - Predictive model for estimating total consumption - Downloadable results and input-friendly interface --- ## 🔧 Installation 1. Clone the repository or download the files 2. Navigate to the project folder 3. Install the requirements: ```bash pip install -r requirements.txt