Jul 10, 2018 · To answer it we need to analyze four GDP factors – GDP per capita (US$), GDO per capita growth (annual %), GDP growth (annual %) and GDP (current US$). The data from …

GDP Growth Analysis: Visualizing the GDP growth over the years for the world and individual countries. Top 20 GDPs: Grouping countries' GDPs to find the top 20 GDPs. Plotting with …

May 26, 2020 · In this Data Science Project, I am investigating the dataset “Countries of the World”. I will be focusing on the factors affecting a country’s GDP per capita and try to make a …

This project aims to analyze GDP data to gain insights into economic performance, growth rates, and comparisons between countries using Python libraries such as Pandas, Plotly, and Numpy.

A Python-based GDP analysis project using Jupyter Notebooks processes & visualizes real-time 20+ years of economic data from 50+ countries. It cleans and analyzes a 500K+ record CSV …

Aug 22, 2024 · In this tutorial, we’ll explore how to use Python to download and visualize data from the World Bank. Specifically, we’ll focus on comparing the Gross Domestic Product …

Gross Domestic Product (GDP) is the final value of all the economic goods and services produced within the country's geographic boundaries during a specified period of time. GDP growth rate …

Jun 13, 2020 · This article is based on GDP analysis of Indian States with Python. I will use the nominal GDP for this Article. Also, I will consider the financial year

This project leverages Python to perform an exploratory data analysis (EDA) of a global dataset, world-data-2023.csv, containing information about countries, including economic indicators,...

I will be focusing on the factors that affecting a country's GDP per capita and try to make a model using the data of 227 countries from the dataset. I will also briefly discuss the total GDPs.