Phonepe Pulse Data Visualization and Exploration: A User-Friendly Tool Using Streamlit and Plotly
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Updated
Dec 1, 2023 - Python
Phonepe Pulse Data Visualization and Exploration: A User-Friendly Tool Using Streamlit and Plotly
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.
Phonepe Pulse Data Visualization and Exploration: A User-Friendly Tool Using Streamlit and Plotly
Phonepe Pulse Data Visualization and Exploration: A User-Friendly Tool Using Streamlit and Plotly
Creating a dashboard by using streamlit application. In this app visualizing the data taken from Phonepe pulse Github repository.
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