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
Metorite and population Webmaps with Python and Folium
A 3D globe simulating world births & deaths in real time — World Bank data for 217 economies, trilingual UI (中文 / EN / 日).
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.
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)
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。
live population counter website, and also compair countries, all countries population and data
world population analysis
This repository contains my submission for Task-1 of the Data Science Internship at Prodigy Infotech.
World population in animated plots.
Explore global population data with Bright Data API for demographic insights.
Bright Data API를 사용하여 인구통계학적 인사이트를 위해 전 세계 인구 데이터를 탐색하세요.
An API to get the popular quotes from the site worldometers.info.
Prodigy Infotech Data Science Internship Task1
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