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

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

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

🗺Visualization of NYC Traffic Accidents 2012-2017

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

To investigate the penetration of domestic broadband networking in Ireland by producing thematic maps at County and Electoral Division levels. It is done by analysing the population of Ireland that are broadband subscribers and converting the counts to the percentage of households with broadband.

Une application Web avec Python et Streamlit pour visualiser les données du Covid-19

In this project, we will examine data from high schools in New York City and explore connections between school characteristics and student outcomes.

Visualizing Data with Leaflet

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

Mapping Rural Access Index numbers

Global Sales Analysis dashboard

Data Visualizations for Various Covid Metrics

Independent Project - Kaggle Dataset-- I worked on the Superstore Sales Dataset, performing (as Part 1) data cleaning and preparation and exploratory data analysis. The main task was to make predictions for future sales based on time-series analysis, which is found in Part 2.