Skip to content

An interactive web app built to monitor vehicular collisions. The app was built using Streamlit .

Notifications You must be signed in to change notification settings

anushkaparadkar/data-science-webapp

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Data Science Web App - Analyse motor vehicle collisions

A simple web app to analyse motor vehicle collisions made using Streamlit. The web app was built using Streamlit .Streamlit is an open source framework used for building apps in python.

The maps used in the web app were made using Deck GL - Uber's open source visulization framework .

The histograms were built using Plotly Express. It is a wrapper for Plotly.py.

Prerequisites

Python for Data Analyses
Jupyter Notebook
Streamlit
Numpy
Pandas
Plotly

Glimpse of the Dashboard

dashboard dashboard

Acknowledgments

Thank you to the Coursera community.

Releases

No releases published

Packages

No packages published

Languages