1. Identify the adequate visualization tools to present your data. 2. Discuss how visualizations help you to present your data and provide examples. for example: Discussion - Visualization Tools - Conklin by Conklin Visualization tools take numbers and gives them meaning. Seeing figures on a spreadsheet is harder to comprehend as opposed to graphs and charts. In my everyday work life, I interact with clients who are not accountants. Finding meaning in a balance sheet or income statement is difficult. Presenting income statement data in a pie or bar chart could help my clients understand the proportionality of the types of expenses as percent of net income or revenue. Finding the relationship between different variables, as is the instructions for this week's assignment, is a quantitative task. A scatter plot would be an ideal visualization to use to show the correlation between variables. The book relays that scatter plots are "useful for identifying the correlation between two variables or for identifying a trend line or line of best fit" (Richardson et al., 2023, p. 195). Other charts that are appropriate, and that I will be using, are box and whisper plots, and line charts. According to Exhibit 4-12 on page 195 these are best for quantitative, data driven questions. Qualitative is the other kind of data that one might desire to show in a visualization. Bar, pie, and stacked bar charts are ideal for qualitative data. These show proportions within a data set. These would be beneficial if one was trying to show the breakdown of

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