Data Science using R Lab

List of Practical

1. Installation of R, basic syntax of R.
2. Describing data, viewing and manipulating data using R.
3. Visualizing data- tables, charts, plots using R.
4. Implementing binomial distribution and plotting density and distribution function.
5. Implementation probability distribution
6. Exploratory data analysis- range, mean, variance, median, standard deviation.
7. Implementation densities of random numbers- distribution in R, making histogram.
8. Correlations- making of scatter plots, use of scatter plots to investigate relationship between two variables.
9. Statistical function in R-Statistical inference, contingency tables, chi-square goodness of fit
10. Implement linear and logistics regression in R.