Live Project Link : https://nyc-rkl1.onrender.com/
- Developed an interactive dashboard based app using Streamlit (Python) for New York City Taxi dataset.
- The entire system is implemented in Python3 Language.
- Developed a drop-down menu which provides 4 options- View Data using Dropdowns, Visualize data on Map, 2D Graphs and Histograms and 3D Graphs and Histograms.
- View Data using Dropdowns- The cleaned dataset can be seen in table forms.
- Visualize data on Map- The cleaned dataset can be visualized on the Google Maps (using Google Earth Maps API).
- 2D Graphs and Histograms- The data visualizations can be seen in 2D graphs and histograms.
- 3D Graph and Histograms- The data visualizations can be seen in 3D graphs and histograms.
- HTML
- CSS
- Python3
- Numpy
- Matplolib
- Pandas
- Streamlit
- Pydeck
- Plotly
- Render Cloud
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To run on terminal, launch the flask application by following command-
streamlit streamlit_app.py
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The launched app will start and navigate to a link. Open the link in browser (localhost).
- Nikita Mandlik (Portfolio: https://nikitamandlik123.github.io/)