Bringing deck.gl and pydeck into Dash

Zomato Data Visualization with Streamlit.The project include visualization of 9000+ data with 7 functional tools to visualize dataset .Streamlit Framework is combined with data visualization tools like Pandas, Plotly , Altair, Pydeck etc. to provide a dynamic interface to analyze data.

Example of a pydeck custom layer

Jupyter Notebook을 활용한 Time-series data 분석 및 crawling 기술, D3를 이용한 시각화 기술 구현 및 연구

A program to determine the shortest route considering both danger and distance in Medellin.

A project that aims to estimate the correlation between Guadalajara's crimes and its public bike system. Done as part of the Saturdays.AI program in its Guadalajara 2nd edition.

Dashboard para análise de criminalidade no estado de São Paulo.

Let's you analyze vehicle collision's data using interactive graphs. Built using streamlit.

A Data Science web application visualizing the road-accidents of New York City

Geospatial data parsing and visualization (Mapbox + Streamlit)

Streamlit app to analyze the different scenarios of COVID-19 in states and cities of Brazil

This is a interactive web applications with Streamlit and Python using Pandas for data manipulation in data science workflows

Web based application to analyse the live cases of COVID-19 and its impact on economy

Deployment of streamlit application using heroku

An interactive data analysis & visualizations dashboard for the Baker Hughes Gas Turbine dataset

Mapas de Vulnerabilidad COVID-19: Procesamiento & Visualización

LeasyBot is an AI-powered chatbot that helps users explore and manage apartment and roommate options easily and effortlessly

Análise da criminalidade em São Paulo

Python-based tools to parse ssh access logs, do robust GeoIP lookups, and visualize the results using streamlit

The PhonePe Pulse Data Visualization project in Python extracts, transforms, and stores data from the PhonePe Pulse GitHub repository. It creates an interactive dashboard using Streamlit, Plotly, and other libraries to visualize the data. Users can explore various insights from the data spanning 2018 to 2023.