Bivariate Regression with Categorical Variables in R | Social Data Analysis
Автор: Social Data Analysis
Загружено: 2024-04-08
Просмотров: 150
Описание:
In this R tutorial, we explore bivariate regression with categorical variables. Using ggplot2 and dplyr, we analyze the relationship between GDP levels and life expectancy across income brackets.
🛠️ We begin with data preprocessing to handle missing values. Visualizing histograms with ggplot2 provides insights into life expectancy distribution across GDP levels.
📊 Next, we compute average life expectancy for each GDP level using dplyr. This helps understand central tendencies across economic strata.
📈 We then delve into bivariate regression, exploring linear models to quantify the GDP-life expectancy relationship.
🔍 Emphasizing effective visualization and statistical techniques, this tutorial empowers viewers to conduct robust analyses.
🔗 Find the R code on GitHub: https://github.com/jsakowuah?tab=repo...
#RStats #DataScience #DataAnalysis #RegressionAnalysis #DataVisualization #StatisticalAnalysis #GDP #LifeExpectancy #CategoricalVariables
Timestamp:
0:00 - Introduction
0:50 - Types of Variables
5:40 - GGPLOT2 for visualization
14.40 - DPLYR for summary stats.
17:40 - Regression Analysis
25:37 - Conclusion
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