Briefly explain the concept of Data Analytics and its importance.
[7 marks]Differentiate between structured, semi-structured, and unstructured data. Provide examples of each.
[7 marks]Describe the basic steps in setting up an Rprogramming environment with RStudio.
[7 marks]Explain the concept of variables and data types in R. Give an example of each data type.
[7 marks]Write a short Rcode snippet to create a vector containing the names of your favorite fruits.
[7 marks]Explain how to import data into Rfrom a CSV file, XML file, JSON file.
[7 marks]Describe the functionalities of histograms and boxplots in data visualization.
[7 marks]Create a sample dataset in Rcontaining student names and their marks in two subjects. Subsequently, generate a bar chart to visualize the marks distribution for one subject.
[7 marks]Explain the concept of Normal Distribution and its significance in statistical analysis.
[7 marks]Briefly describe a scenario where Time Series Analysis would be a valuable tool.
[7 marks]Discuss the applications of Linear Regression in data analysis.
[7 marks]Briefly explain the difference between Logistic Regression and Linear Regression.
[7 marks]Describe the concept of Decision Trees and their role in classification tasks.
[7 marks]Explain the concept of Random Forest and its advantages over a single Decision Tree.
[7 marks]Provide an example of how Prescriptive Analytics can be applied in a real-world scenario.
[7 marks]Briefly explain the concept of Survival Analysis and its applications.
[7 marks]Discuss the importance of using appropriate statistical references when writing reports based on data analysis.
[7 marks]