Spaces:
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README.md
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# Charging Outlets Analytics Dashboard
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This Streamlit application helps you analyze charging outlet performance data and create insightful visualizations.
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## Features
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- **Data Upload**: Upload Sessions.xlsx and Overview.xlsx files containing charging session data
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- **Interactive Dashboard**: Visualize key metrics about charging outlets
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- **Filtering**: Filter data by specific areas
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- **PDF Export**: Generate downloadable PDF reports with visualizations
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## Dashboard Views
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1. **Key Metrics**
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- Number of outlets per area
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- kWh/month per area
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- Total sessions and energy consumption
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2. **Utilization Analysis**
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- Heatmap of outlet utilization (used outlet days / total outlet days)
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- Detailed utilization metrics table
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3. **Energy Consumption Analysis**
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- kWh per outlet per month per area
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- Average kWh per session
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## Deployment on Hugging Face Spaces
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### Prerequisites
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- A Hugging Face account
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- Basic knowledge of Git
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### Deployment Steps
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1. Create a new Space on Hugging Face:
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- Go to https://huggingface.co/spaces
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- Click "Create new Space"
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- Select "Streamlit" as the SDK
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- Name your Space and set visibility options
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2. Clone the repository locally:
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```bash
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git clone https://huggingface.co/spaces/YOUR-USERNAME/YOUR-SPACE-NAME
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```
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3. Add the application files to the repository:
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- Copy `app.py` to the root of the repository
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- Copy `requirements.txt` to the root of the repository
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4. Commit and push your changes:
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```bash
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git add .
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git commit -m "Initial application setup"
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git push
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```
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5. Wait for the build to complete on Hugging Face Spaces
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6. Your application is now live at `https://huggingface.co/spaces/YOUR-USERNAME/YOUR-SPACE-NAME`
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## Data Format
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### Sessions.xlsx
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Contains charging session data with the following columns:
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- **Områdeskod**: Area code
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- **Område**: Area name
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- **Uttag**: Outlet identifier
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- **Startad**: Session start time
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- **Avslutad**: Session end time
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- **Laddat (kWh)**: Energy consumed in kWh
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- **Kostnad (exkl)**: Cost (excluding tax)
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- **Valuta**: Currency
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### Overview.xlsx
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Contains area and outlet information with the following columns:
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- **Namn**: Name
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- **Avtalskund**: Contract customer
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- **Synlighet**: Visibility
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- **Antal uttag**: Number of outlets
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- **Start fasta avgifter**: Start of fixed fees
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- **Fakturerbara ACAntal uttag**: Billable AC number of outlets
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- **Fakturerbara DCAntal uttag**: Billable DC number of outlets
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- **Kolumn1**: Additional column
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## Usage
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1. Upload both required files using the file uploaders in the sidebar
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2. Use the dropdown in the sidebar to filter by specific areas
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3. Navigate between tabs to view different dashboards
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4. Generate a PDF report using the button in the sidebar
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## Requirements
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- streamlit==1.27.0
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- pandas==2.0.3
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- plotly==5.17.0
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- numpy==1.25.2
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- reportlab==4.0.4
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- pillow==10.0.1
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- openpyxl==3.1.2
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