world-population

Task 1 of the Prodigy infotech Data science internship

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

🌏 Taipy demo to explore world population data...

Statistical data analysis of the world population using PCA method

In this project, I explored and analyzed a world population dataset in the R programming language. Utilizing tidyverse, I created two choropleth maps. One map shows the growth rate by continent, and the other shows the growth rate of African countries.

Metorite and population Webmaps with Python and Folium

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

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

Global Population Geospatial Visualization (GeoPandas + Folium)

An end-to-end data analytics project exploring global population trends using Python (Jupyter Notebook)

world population analysis

live population counter website, and also compair countries, all countries population and data

World population in animated plots.

Live web scraping of world population 2024 data from Worldometers using BeautifulSoup & requests — extracts population table into structured Pandas DataFrame

Explore global population data with Bright Data API for demographic insights.

Bright Data API を使って世界の人口データを探索し、人口統計に関するインサイトを得ましょう。

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

Bright Data API를 사용하여 인구통계학적 인사이트를 위해 전 세계 인구 데이터를 탐색하세요.

Task 1 of the Prodigy infotech Data science internship

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.