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Analysis of students' performance using the ggplot, tidyverse and dplyr

The objective of this analysis is to explore global economic and health trends using the Gapminder dataset from the year 2000 onwards. Specifically, the study aims to analyze GDP per capita across various countries to identify the wealthiest nations and understand the distribution of wealth worldwide. It also investigates the relationship between GDP per capita and life expectancy, assessing whether wealthier countries tend to have better health outcomes. Furthermore, the analysis tracks the evolution of GDP per capita over time for selected countries to observe economic growth patterns across developing and developed nations. Additionally, an interactive map is used to visualize these trends geographically, showcasing differences in GDP per capita and life expectancy across regions. T.

Sentiment Analysis: Ford vs Tesla

Transformation of data using the tidyverse library in R

what is in the library

Resenha do artigo "A PRODUÇÃO LEGISLATIVA E CONEXÃO ELEITORAL NA ASSEMBLEIA LEGISLATIVA DO ESTADO DO PARANÁ"

Exploratory Data Analysis using R Programming