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 the World Bank (from the World Development Indicators website to be exact) are in an open format and have good history records for many countries that include a number of ...

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 Plotly: Using Plotly to create interactive graphs for the GDPs of countries and comparison graphs.

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 model using the data of 227 countries from the dataset. I will also briefly discuss the total GDP.

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 dataset, generating dynamic Plotly dashboards and Matplotlib charts that deliver actionable insights on global trends. - rachknows/GDP-Analysis-

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 (GDP) of three major...

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 is the major indicator of a country's economic performance.

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.