Interactive web map with Urban agglomerations worldwide with population over 300.000 inhabitants

🌏 Taipy demo to explore world population data...

In this project, I explore and analyze a world population dataset in the R programming language. Utilizing dplyr, tidyverse, and ggplot2, I created two choropleth maps. One map shows the growth rate by continent; the other shows the growth rate of countries in Africa.

Statistical data analysis of the world population using PCA method

This project is an interactive dashboard that displays gender comparisons from different countries around the world

Metorite and population Webmaps with Python and Folium

Our world population crossed 8.1 Billion in 2023 but not every country has growing population, so to determine the trends and insights about how the world is affected and what factors play an important role in our world population, an analysis is needed.

wikipedia-world-population

An API to get the popular quotes from the site worldometers.info.

Applied Clustering techniques

It is a sql project to analyze the world population in 2020 and 2023.