Home | PhonePe Pulse Data Visualization and Exploration|part 5.3|Streamlit and Plot

PhonePe has emerged as a leader among digital payment platforms, catering to millions of users for their daily transactions. Renowned for its user-friendly interface, rapid and secure payment processing, and innovative features, PhonePe has garnered accolades and recognition within the industry.

In the PhonePe Pulse Data Visualization and Exploration project, we embark on a mission to extract valuable insights from PhonePe's GitHub repository. Our goal is to meticulously process this data and present it through an interactive dashboard that captivates with its visual appeal. This endeavor is made possible by leveraging the power of Python, Streamlit, and Plotly.

Phonepe Pulse Data Visualization and Exploration:
A User-Friendly Tool Using Streamlit and Plotly

India_Map_Link: https://gist.githubusercontent.com/jbrobst/56c13bbbf9d97d187fea01ca62ea5112/raw/e388c4cae20aa53cb5090210a42ebb9b765c0a36/india_states.geojson

Install Postgres: https://youtu.be/WxBfnGH3FsU?si=eWZx_DRCoGfSRxw8

Stay Connected:
- LinkedIn: https://www.linkedin.com/in/vignesh15502/
- GitHub: https://github.com/Vignesh15502

#streamlit #datavisualization #python
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