The first step in any data analytics project is to thoroughly understand the data and its current format. When creating visualizations, it is important to consider which type of graph or chart best fits the data. Although there are numerous types of visualizations $($graphs and charts$)$ from which to choose, some of the most common include bar charts, line graphs, pie charts, and maps. The data can help you determine which visualizations would help convey the information most effectively. For example, bar charts are useful when data are separated into different categories, while line graphs are useful to show changes in data over time. Pie charts display categories as a portion of a total, and maps represent data geographically and should only be used if the data contains location information. Furthermore, Tableau has the ability to suggest a visualization based on the types of fields that you select; this can be a very convenient feature when learning to create visualizations.Before you examine the Access database Ivana has given you, she would like to tell you a little about the current state of her startup company and the three tables she created to store the company data. She created individual tables for customers, orders, and company products. Currently, Ivanas Ice Cream only sells boxes of ice cream cups and ice cream bars, and each come in either vanilla or chocolate. Below is the unit cost and sales price for each item Ivanas Ice Cream currently sells $($see Exhibit $1)$: