Project aim is to make comprehensive and user-friendly solution for extracting, transforming, and visualizing data from the Phonepe pulse Github repository.
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Updated
Jun 14, 2023 - Python
Project aim is to make comprehensive and user-friendly solution for extracting, transforming, and visualizing data from the Phonepe pulse Github repository.
Phonepe machine coding round problem
[ Phonepe Pulse Data Visualization dependence on given specifications. ] | ( Disclaimer: Transaction and user analysis of Phonepe app in INDIA 2018 - 2022 only ) | Clone | Python | Pandas | Numpy | MySQL | Streamlit | Plotly | Geo visualization |
[ Phonepe Pulse Data Visualization dependence on given specifications. ] | ( Disclaimer: Transaction and user analysis of Phonepe app in INDIA 2018 - 2022 only ) | Clone | Python | Pandas | Numpy | MySQL | Streamlit | Plotly | Geo visualization |
| Phonepe_Pulse | Git-hub Clone | SQLite-3 | Pyplot | Streamlit |
[ Phonepe Pulse Data Visualization dependence on given specifications. ] | ( Disclaimer: Transaction and user analysis of Phonepe app in INDIA 2018 - 2022 only ) | Clone | Python | Pandas | Numpy | MySQL | Streamlit | Plotly | Geo visualization |
The PhonePe Pulse Data Visualization project in Python extracts, transforms, and stores data from the PhonePe Pulse GitHub repository. It creates an interactive dashboard using Streamlit, Plotly, and other libraries to visualize the data. Users can explore various insights from the data spanning 2018 to 2023.
Developed a Streamlit application for analyzing transactions and user data from the Pulse dataset. Explored data insights on states, years, quarters, districts, transaction types, and brands through EDA. Visualized trends and patterns using plots and charts to optimize decision-making in the Fintech industry.
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