Copy the attached dataset into your sqlda database. Find the MAX and MIN percentages of users by zip code. Using JOINs calculate the sales amounts for customers who live in high public transportation use areas and low public transportation use areas (Case statements). Calculate the average sales in those areas. Plot a histogram of the data in R or in Python. Group customers based on their public transportation usage and count the average number of transactions per customer. Export this data and create a scatterplot in R or Python. Discuss any recommendations you deduce from the plot. Submit a Word document with screenshots of your successful query, your histogram, and your scatter plot. Write your recommendation after the screenshots. Describe in your own words of what you are doing. Please make sure that your images are large enough and high enough resolution for the reader to see the text in your queries and the results.