Projekt analizujący dane wyborcze uwzględniając zależności przestrzenne

Valores Hipotéticos del monitoreo agronómicas Cultivo de Café. Aunque son valores simulados, se cuanta con una base real en la Vereda el Coral en la Plata Huila

A comprehensive overview of the distribution of Romanian Prime Ministers between 2004 and 2026, focusing on mandate duration, political party dominance, and government stability across successive four-year electoral cycles.

Workshop 3 - Time Series Alberto Dorantes, Ph.D. Tec de Monterrey

The stock market is one of the most important components of the global financial system because it reflects the economic performance and investment activities of companies and investors. With the rapid growth of technology and data science, stock market data has become widely used for financial analysis, forecasting, and decision-making. This project focuses on analyzing the historical stock market data of the NIFTY 50 index from the National Stock Exchange (NSE) India. The dataset contains daily stock prices and trading volumes of fifty major companies from January 1, 2000, to April 30, 2021. Using R programming, the analysis will involve accessing and preparing the dataset, conducting exploratory data analysis, visualizing trends in stock prices and trading activities, and applying correlation and regression analysis techniques. The study aims to provide insights into stock market behavior, identify relationships between variables, and demonstrate how data analytics and statistical methods can support financial research and predictive analysis.