ILLUSTRATED CONCEPTS

• Following Graphs are explained with small use cases
  

2D Pie Charts	3D Pie Charts	Barplots	Stacked Barplots
BoxPlots	Histograms	ScatterPlots	Line Charts
RasterPlots	Frequency Polygons	JitterPlots	ViolinPlots

• Commonly used plots in ggplot2 library are explained
  

• map_data for basic map functions
  

• Leaflet library for advanced interactive map functions
  

• Performing data visualization on Excel Data using readxl library
     -Use "Train.xlsx" as sample Excel file
  

• Following Statistical operations have been performed
  

Mean	Normal distribution - PDF	Binomial distribution - PDF	Analysis of Variance
Median	Normal distribution - CDF	Binomial distribution - CDF	Time Series
Mode	Normal distribution - Quantile	Binomial distribution - Quantile

• Following Machine Learning Algorithms have been explained
  

Linear Regression	Decision Trees	Hierarchial Clustering
Multiple Linear Regression	Random Forest	K-means Clustering
Logistic Regression	Survival Analysis