From the dataset: https://www.kaggle.com/datasets/divanshu22/online-retail-dataset/data Please recommend 3-4 data questions for the dataset above.

Clean the data. (Please help with the code in R) This might include the following tasks: a. Renaming columns b. Managing NAs c. Correcting data types d. Removing columns or rows e. Manipulating strings

f. Reorganizing the data

Determine descriptive statistics for interesting variables

Produce visualizations from the raw data that identify and highlight interesting aspects (bar charts, histograms, line graphs, scatter plots, etc.) (Please help with the code in R and each question should have each visualization, and present the answers of the questions)

Please help with the code in R that answers the recommended data questions):

1. Create new variables that better capture the data you want to report. For example, if the data shows yearly sales by month, you might calculate the month-to-month increase or decrease in sales as a new column. 2. Group, summarize, rank, arrange, count, or perform any other useful operations to create new data frames that provide access to different views of the data. 3. Extract the most interesting data results and produce visualizations that best communicate these results.

please, Report what you have learned about your data. Identify 3-5 observations or follow- up questions that you could explore in the future.

The above instructions should form a PPT through the use of descriptive statistics and visualizations