An overview of the Folium library to visualize Geospatial data

This Problem Data set of San Francisco Contains information about the crime in San Francisco, We are going to analyze the data, Visualize the data using folium maps for geographical understanding. In other words It is called Geo spatial Mapping. This Problem is the final assignment for Coursera and IBM's Data Visualization Course.

In this dataset, we will try to visualize different aspects of immigrants visiting to Canada and all over the world, I have tried to make most effective and ad-hoc visualizations to answer some of the intriguing questions. I have used Advanced Visualization Technques.

Mapping NBA players by country/state of origin since the start of the league

In this project, I created a Chloropleth Map using D3 with a dataset provided by FreeCodeCamp.

Data vizualization of adults age 25 and older with a bachelor's degree or higher (2010-2014). Source: USDA Economic Research Service

Comprehensive analysis and visualization of crimes of Sanfrancisco using Chloropleth map

This repository features visualizations of monkeypox cases and deaths from Jan 2022 to Aug 2024. It includes a choropleth map and scatter plots analyzing the distribution and trends of the disease worldwide

A very simple analysis of the impact of COVID-19 in Peru with Pandas, Geopandas and Matplotlib in Python

Build a model to identify the importance and effect of home characteristics on sale prices in the Seattle area.

🗺Visualization of NYC Traffic Accidents 2012-2017

🚇 Système de supervision des transports Paris 2055 | Migration SQL→MongoDB | 14 requêtes comparatives | Dashboard Streamlit avec cartographie interactive | Analyse trafic, pollution & incidents | BUT Science des Données

Command line tools to view and extract Covid-19's data

A data visualization project to show regions of Delhi, India with the most auto-rickshaw requests at four different peak times of a day using a choloropleth map. Clicking on the chloropleth map will show the route to reach the selected place from the origin(assumed to be the current location of the driver).

A geographic vizualization for statistical data in brazilian northeastern

Mapping Rural Access Index numbers

Real time analytics using Storm and Twitter data

Global Sales Analysis dashboard