GDP analysis for India in the year for 2015-16 and recommendation for the individual states for increasing the GDP by focusing on various factor.

This is an example of Data Analysis from a CSV Data file using pandas and pyplot modules in python.

GDP Analysis to find factors. 📊💰

Explore GDP dataset through EDA, analyzing trends, growth rates, and comparisons between countries to gain insights into global economic dynamics.

Learn how to create an interactive data visualization using Syncfusion WinUI Scatter Charts to explore the relationship between GDP spent on education and the share of government spending allocated to education.

This sample demonstrates how to create a stacked area chart for GDP analysis using Syncfusion MAUI Toolkit. Enhance data visualization with interactive features like series highlighting, customized trackball, and data grid integration for seamless user insights.

A data analysis project exploring global GDP trends and economic indicators using Python, featuring interactive visualizations and statistical analysis created in Jupyter Notebook.

An in-depth exploration of global GDP trends using Python and data science techniques. This project involves data preprocessing, exploratory data analysis (EDA), statistical insights, and interactive visualizations to understand economic patterns and correlations.

Time series analysis of the APEC countries. Search for structural shifts in data. Checking for the ARCH effect. Building ARMA- and VAR-models. Forecasting GDP in several ways. / Анализ временных рядов стран АТЭС. Поиск структурных сдвигов в данных. Проверка наличия ARCH-эффекта. Построение ARMA- и VAR-моделей. Прогнозирование ВВП.

GDP Analysis - The overall goal of this project is to help the CMs focus on areas that will foster economic development for their respective states. Since the most common measure of economic development is the GDP, you will analyse the GDP of the various states of India and suggest ways to improve it.