Task 1 of the Prodigy infotech Data science internship
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Updated
May 16, 2024 - Jupyter Notebook
Task 1 of the Prodigy infotech Data science internship
🌏 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.
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.
It is a sql project to analyze the world population in 2020 and 2023.
An API to get the popular quotes from the site worldometers.info.
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
Interactive web map with Urban agglomerations worldwide with population over 300.000 inhabitants
wikipedia-world-population
Metorite and population Webmaps with Python and Folium
Applied Clustering techniques
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