Select a dataset of your choice (it can be a mocked-up dataset). You will use the data to create a minimum of three charts using your software of choice (e.g., Excel, R, Python, SPSS). You should select one of the following charts (e.g., one of the distributional chart types, a line chart, and one of the comparative chart types to create a total of three charts using your selected dataset:
A chart that depicts distributional characteristics (e.g., histogram, box plot, pie chart, bar chart)
A time-series chart (e.g., line chart)
A comparative chart (e.g., area, bubble or combination chart)
You should leverage the rubric that you created earlier in the course as well as the course and supplemental materials to help you design the charts.
Submit the charts embedded into an essay where you describe the key insights generated from the chart.
You will be graded based on the following:
Your ability to adhere to best practices (e.g., Gestalt principles, scale and aspect ratio, clutter)
The appropriateness of the data for the chart created
Your ability to communicate the key insights from the chart
Length: 5-7 pages, not including cover and reference pages
References: Include a minimum of 5 scholarly resources.

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