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Utilized R to analyze data from Chicago, focusing on healthcare infrastructure and socioeconomic factors. Geo-visualized city metrics to reveal areas with shared socioeconomic attributes. Identified spatial patterns linking health outcomes with socioeconomic conditions, offering a comprehensive view of community health across the city.
[ 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 |
Problem Statement: The Phonepe pulse Github repository contains a large amount of data related to various metrics and statistics. The goal is to extract this data and process it to obtain insights and information that can be visualized in a user-friendly manner.
We introduce an open-source web platform we have developed to enable users to view and compare the radial profiles of land artificialization for 785 major European cities in 2018.
The LoO service identifies loss of orientation of (older) people based on (a) outdoor tracking information and (b) geo-fencing data in order to inform the caregiver that a participant is probably wandering.
[ 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 |