4.Question 4R is ideal for which of the following tasks?

R is ideal for the following tasks:

1. Statistical Analysis: R is a powerful tool for statistical analysis. It has a wide range of statistical and graphical techniques available, including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, etc.

2. Data Visualization: R provides excellent tools for data visualization. Packages like ggplot2, plotly allow for interactive and highly customizable plots.

3. Data Cleaning: R is great for data cleaning. It can handle large datasets and has many packages that make data cleaning easier, such as dplyr and tidyr.

4. Machine Learning: R has numerous packages for machine learning algorithms. It is widely used in predictive modeling and other data mining tasks.

5. Statistical Reporting and Documentation: With packages like RMarkdown and Shiny, R is also a powerful tool for statistical reporting, allowing for dynamic report generation and web application development.