Applying statistics and hypothesis testing using R to analyze a series of datasets from the automotive industry.
Load, clean up, and reshape datasets using tidyverse and dplyr in R
Statistics test evaluated by R:
- Shapiro normality test
- T-test
- ANOVA
- Linear Regression
- Chi-Squared Test
Visualization by ggplot2
- Basic line, bar, and scatter plots
- boxplots, density and heatmaps