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This program scrapes and searches information about National Sites (Parks, Heritage Sites, Trails, and other entities) from nps.gov. The user can then look up nearby places using the Google Places API and to display National Sites and Nearby Places on a map using plotly.
A Flask web app to help emergency workers analyze incoming messages and sort them into specific categories to speed up aid and contribute to more efficient distribution of people and other resources.
Focuses on visualizing data from the Google Store dataset obtained from Kaggle. The goal is to analyze and present insights about the applications available on the Google Store.
This code clones PhonePe data from GitHub. After processing the data, it is displayed in an appealing manner to gain insights from PhonePe's information. This can be used to increase productivity, profits, and focus specifically on business development.
This is a Streamlit application that performs time series analysis on stocks. It allows users to input a stock ticker symbol and displays various visualizations for the selected stock.
A data visualization dashboard built with Dash and Plotly to explore women's representation in parliaments worldwide and is deployed on Heroku and PythonAnywhere.