- Create multiple charts to represent the division you have selected. The division “West North Central” cannot be used for your analysis. Within the TC Ice Cream Excel Workbook, use the “Division Analysis” sheet to create the following charts. It is recommended that you use pivot table filtering functionality to filter the data to the specific division you have selected.
- Create a pie chart using the qualitative variable Flavor and the quantitative variable Quantity Sold to provide a visualization of percentage overview of quantity sold by flavor for the division.
- 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 for the division.
- Create a bar chart using the qualitative variable Flavor and the quantitative variable Flavor Rating to provide a visualization displaying average flavor rating by flavor.
- Create a combo chart using the qualitative variable Date (x-axis) and the quantitative variables Quantity Sold (clustered column) and Advertising Expenses (line – secondary axis).
- Create a combo chart using the qualitative variable Flavor (x-axis) and the quantitative variables Quantity Sold (clustered column) and Average Flavor Rating (line – secondary axis).
- Use the Module Two PowerPoint Template to create a PowerPoint presentation that explains the identified patterns, trends, and correlations. This should include key visualizations and analysis to support your answers. The template includes specific questions to answer. Use the visualizations and data analysis you created in the “Division Analysis” sheet to support your analysis.
Module 2 – SLPConsumer Behavior, Production and CostsSLP Assignment Expectations Economic Impacts for Producers This week’s case focused on the consumer
Module 2 – SLPConsumer Behavior, Production and CostsSLP Assignment Expectations Economic Impacts for Producers This week’s case focused on the consumer side of economics. Producers must manage more constraints in their decision-making. Session Long Project 2 Resources Producer Price Index (PPI) (2024) Purchasing Power (2024) The Producer Price Index: What it is and why