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- Create a line chart (also known as a trend chart) using the qualitative variable Date and the quantitative variable Quantity Sold to provide a visualization displaying quantity sold by month.
- Create a line chart (also known as a trend chart) using the qualitative variable Date and the quantitative variable Flavor Rating (average) to provide a visualization displaying flavor rating (average) by year/quarter/month.
- Create a combo chart using the qualitative variable Date (x-axis) and the quantitative variables: Quantity Sold (clustered column) and Advertising expenditures (line – secondary axis).
- Create a combo chart using the qualitative variable Date (x-axis) and the quantitative variables: Quantity Sold (clustered column) and total – Social Medial Posts and Event Promotions (line – secondary axis). Hint: create a pivot table variable to sum the social media posts and event promotions.
- Create a box and whiskers chart using the qualitative variable Quantity Sold. This will help identify any outliers in the quantity sold data.
- Create a histogram for the quantitative variable Flavor Rating. It is recommended to use the data analysis “add-in” and the analysis tool “Histogram” to create the data for the visualization.
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Contract Scenario Calvin had been an avid coin collector for many years, and the most valuable coin in his collection was an uncirculated, mint condition,
Contract Scenario Calvin had been an avid coin collector for many years, and the most valuable coin in his collection was an uncirculated, mint condition, 1943 Lincoln penny made of copper (most pennies made during World War II were made of zinc because copper was needed in the war effort).