The dataset for a grocery stores transactions (Grocery.csv). The dataset contains over 14,000 transactions made by grocery store customers. The following variables are included in the dataset:

Variable	Description
Transaction	Transaction ID
Purchase date	Date of purchase
Customer ID	Customer ID
Gender	Male or Female
Annual Income	Household annual income
Product Category	Product purchased
Units Sold	Number of items purchased
Revenue	Amount paid

Import the data set to RStudio and perform the following tasks. For each task, you should provide the R command script and a partial screenshot from the Console panel in RStudio showing the resultsee an example in #1 below.

1. Find the dimension of this data set (example):
   1. R Script command line: dim(Grocery)
   2. Result:

2. Display the first record of the each of the variables
   1. R Script:
   2. Result:
3. Display the third record of the each of the variables
   1. R Script:
   2. Result:
4. Display the forth record of the first 3 variables
   1. R Script:
   2. Result:
5. Display the first 5 records of Unit Sold
   1. R Script:
   2. Result:
6. Convert Revenue from string to number
   1. R Script:
   2. Result (show the first five records in the table):
7. Display the summary statistics for each variable
   1. R Script:
   2. Result:
   3. Interpret the results. Did you see any potential problems or missing values in the data set?
8. Create a histogram for Revenue. Please use the geom_histogram() function in the ggplot package. Do NOT use the hist() function.
   1. R Script:
   2. Result (from the Plots panel):
   3. Interpret the result:
9. Create a box plot for Revenue
   1. R Script:
   2. Result (from the Plots panel):
   3. Do a research online what is a box plot and interpret your result: