|
1 | | -# Formula 1 Data Analysis Dashboard |
2 | | - |
3 | | -This project is an interactive dashboard built using Streamlit to visualize and analyze Formula 1 data. The dashboard provides insights into various aspects of Formula 1 races, including constructors' performance in qualifying, top drivers and constructors, fastest and slowest circuits, average pit stop times, and lap times visualization. |
4 | | - |
5 | | -## Features |
6 | | - |
7 | | -- **Constructors in Qualifying**: Visualize the number of front row qualifications and pole positions by team. |
8 | | -- **Top Drivers and Constructors**: Display the top 25 drivers with the most wins and the top 20 constructors with the most wins. |
9 | | -- **Fastest and Slowest Circuits**: Identify the fastest and slowest circuits based on average lap times. |
10 | | -- **Average Pit Stop Time**: Analyze the average pit stop time over the years. |
11 | | -- **Lap Times Visualization**: Explore lap times and driver positions by lap for a specific race. |
12 | | - |
13 | | -## Installation |
14 | | - |
15 | | -1. Clone the repository: |
16 | | - ```sh |
17 | | - git clone https://github.com/yourusername/F1_Analysis.git |
18 | | - cd F1_Analysis |
19 | | - ``` |
20 | | - |
21 | | -2. Install the required dependencies: |
22 | | - ```sh |
23 | | - pip install -r requirements.txt |
24 | | - ``` |
25 | | - |
26 | | -3. Run the Streamlit app: |
27 | | - ```sh |
28 | | - streamlit run app.py |
29 | | - ``` |
30 | | - |
31 | | -## Data |
32 | | - |
33 | | -The data used in this project is sourced from various CSV files located in the [data](http://_vscodecontentref_/0) directory. The following datasets are used: |
34 | | - |
35 | | -- [drivers.csv](http://_vscodecontentref_/1): Information about drivers. |
36 | | -- [constructors.csv](http://_vscodecontentref_/2): Information about constructors. |
37 | | -- [races.csv](http://_vscodecontentref_/3): Information about races. |
38 | | -- [qualifying.csv](http://_vscodecontentref_/4): Qualifying results. |
39 | | -- [lap_times.csv](http://_vscodecontentref_/5): Lap times for each race. |
40 | | -- [pit_stops.csv](http://_vscodecontentref_/6): Pit stop data. |
41 | | -- [circuits.csv](http://_vscodecontentref_/7): Information about circuits. |
42 | | -- `results.csv`: Race results. |
43 | | - |
44 | | -## Usage |
45 | | - |
46 | | -1. Launch the Streamlit app by running the command mentioned in the installation section. |
47 | | -2. Use the sidebar to navigate between different sections of the dashboard. |
48 | | -3. Explore the visualizations and insights provided in each section. |
49 | | - |
50 | | -## License |
51 | | - |
52 | | -This project is licensed under the MIT License. See the [LICENSE](http://_vscodecontentref_/8) file for more details. |
53 | | - |
54 | | -## Acknowledgements |
55 | | - |
56 | | -- The data used in this project is sourced from [Ergast API](http://ergast.com/mrd/). |
57 | | -- This project uses [Streamlit](https://streamlit.io/) for building the interactive dashboard. |
58 | | -- Visualizations are created using [Plotly](https://plotly.com/). |
59 | | - |
60 | | -## Contact |
61 | | - |
62 | | -For any questions or feedback, please contact Aneesh Angane at [ [email protected]]. |
63 | | - |
| 1 | +# 🏎️ Formula 1 Data Analysis Dashboard |
| 2 | + |
| 3 | +[](https://f1analysis-apw4r9dgzqfwx8vxbpardu.streamlit.app) |
| 4 | + |
| 5 | + |
| 6 | + |
| 7 | +An interactive dashboard for analyzing Formula 1 historical data with driver/constructor performance metrics and race visualizations. |
| 8 | + |
| 9 | +## ✨ Features |
| 10 | +- Driver/constructor performance analytics |
| 11 | +- Circuit speed comparisons |
| 12 | +- Interactive race telemetry |
| 13 | +- Pit stop efficiency analysis |
| 14 | + |
| 15 | +## 🛠️ Tech Stack |
| 16 | +- **Frontend**: Streamlit |
| 17 | +- **Data Processing**: Pandas, NumPy |
| 18 | +- **Visualization**: Plotly, Matplotlib, Seaborn |
| 19 | + |
| 20 | +## 📂 Data Structure |
| 21 | +```text |
| 22 | +data/ |
| 23 | +├── drivers.csv |
| 24 | +├── constructors.csv |
| 25 | +├── races.csv |
| 26 | +├── results.csv |
| 27 | +├── qualifying.csv |
| 28 | +└── lap_times.csv |
| 29 | +``` |
| 30 | + |
| 31 | +## 🚀 Quick Start |
| 32 | +```bash |
| 33 | +# Clone repo |
| 34 | +git clone https://github.com/yourusername/f1-dashboard.git |
| 35 | +cd f1-dashboard |
| 36 | + |
| 37 | +# Install dependencies |
| 38 | +pip install -r requirements.txt |
| 39 | + |
| 40 | +# Launch app |
| 41 | +streamlit run app.py |
| 42 | +``` |
| 43 | + |
| 44 | +## 📊 Example Query |
| 45 | +```python |
| 46 | +# Get top 10 winning drivers |
| 47 | +winners = results[results['position'] == 1] |
| 48 | +top_drivers = winners['driverId'].value_counts().head(10) |
| 49 | +``` |
| 50 | + |
| 51 | +## 📜 License |
| 52 | +MIT License - See [LICENSE](LICENSE) for details. |
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