Skip to content

[ Phonepe Pluse Data Visualization dependence on given specifications. ] | ( Disclaimer: Transaction and user analysis of Phonepe app in INDIA 2018 - 2023 only ) | Clone | Python | Pandas | Numpy | MySQL | Streamlit | Plotly | Geo visualization |

Notifications You must be signed in to change notification settings

praveenrajpraveen/phonepe

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 

Repository files navigation

PhonePe Pulse Project Overview This project analyzes transaction data from PhonePe Pulse, focusing on transaction amounts and counts from 2018 to 2023. It leverages Python and SQL for data processing and uses Streamlit for interactive visualization.

Features Transaction Amount Analysis: View the total transaction amount over the specified period. Transaction Count Analysis: View the number of transactions over the specified period. Interactive Visualizations: Utilize Streamlit for dynamic and interactive charts and graphs. State-wise Analysis: Explore transaction data specific to each state. District-wise Analysis: Dive deeper into transaction data specific to each district.

Technologies Used Python: For data processing and analysis. SQL: For querying and managing the transaction data. Streamlit: For creating interactive visualizations.

Data Source The transaction data is sourced from the PhonePe Pulse GitHub repository, covering the period from 2018 to 2023.

Visualization The project provides the following visualizations:

Yearly Transaction Amount: Bar charts showing the total transaction amount for each year. Yearly Transaction Count: Line charts depicting the number of transactions for each year. State-wise Analysis: Maps and charts showing transaction data for each state. District-wise Analysis: Detailed visualizations for transaction data in various districts.

About

[ Phonepe Pluse Data Visualization dependence on given specifications. ] | ( Disclaimer: Transaction and user analysis of Phonepe app in INDIA 2018 - 2023 only ) | Clone | Python | Pandas | Numpy | MySQL | Streamlit | Plotly | Geo visualization |

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published