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

🌏 Taipy demo to explore world population data...

Task 1 of the Prodigy infotech Data science internship

Statistical data analysis of the world population using PCA method

Metorite and population Webmaps with Python and Folium

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

In this project, I explored and analyzed 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, and the other shows the growth rate of African countries.

This repository contains my submission for Task-1 of the Data Science Internship at Prodigy Infotech.

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.

Task 1 of the Prodigy infotech Data science internship

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

Prodigy Infotech Data Science Internship Task1

Applied Clustering techniques

This data analyzer allows you to compare population changes over the years between countries, continents, and the world through bar and pie charts. This project was created as the final project for Platzi's Python course.

wikipedia-world-population

world population analysis

Task 1 of the Prodigy infotech Data science internship

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