HW_R
Homework on the "Descriptive statistics with R" University course.
It mostly consists of data visualization methods. Also, there are topics on cluster analysis and principal components.
Lab 1
- Calculate descriptive statistics (mean, median, variance, quantiles, etc) for 2 variables by hand and using R, then compare the results
Lab 2
- Data manipulation and visualisation with histograms, box-whiskers plots
Lab 3
- Visualize the data on the world map
Lab 4
- Visualize correlation maps for different types of correlation - Pearson, Spearman, Kendall
- Highlight the clusters of highly correlated variables
- Observe the correlation using scatter plots and correlation graphs
Lab 5
- Perform PCA - principal component analysis
- Visualize principal components in 2D and 3D plots
Lab 6
- Form the clusters using PCA, dendrogram and different kinds of distance - Euclidean, Manhattan
- Visualize clusters of variables on scatterplots, histograms, etc