You have been hired as a consultant by TC Ice Cream. As part of itsexpansion plan, TC Ice Cream wants to limit the number of flavors thatthey sell and only focus on those that are the most profitable. You willdo an analysis of two flavors for a specific division and determinewhich flavor should be kept and which should be removed.
Option A: Keep Flavor One
Option B: Keep Flavor Two
The TC Ice Cream management team has tasked you with doing anin-depth analysis to determine which of the two options will be the mostprofitable, given the monthly advertising expense range of $500$2,750.Use the division that you selected in Module Two and the two flavorsthat you selected for Milestone One. Consider the TC Ice Cream data setthat contains data about quantity sold, advertising expenses, flavorrating, social media posts, and event promotions.
Prompt
Part 1: Data Analysis Workbook
Analyze the data from the provided TC Ice Cream data set and identify current and future trends and patterns in operations.
Complete the following visualizations for each flavor. Thevisualizations for Flavor One should be completed in the Flavor OneAnalysis sheet and the visualizations for Flavor Two should becompleted in the Flavor Two Analysis sheet of the . It is recommended that you use pivot table filtering to filter the data to the specific division and flavor you have selected.
Specifically, you must address the following rubric criteria:
Present the key descriptive statistics for the fivequantitative variables in a table (quantity sold, advertising expenses,flavor rating, social media posts, and event promotions). The keydescriptive statistics include the mean, median, standard deviation, andrange.
Analyze the TC Ice Cream data to identify trends and patterns for the two flavors you have selected. For each flavor, create the following visualizations:
Create a line chart (also known as a trend chart) using thequalitative variable Date and the quantitative variable Quantity Sold toprovide a visualization displaying quantity sold by month.
Create a line chart (also known as a trend chart) using thequalitative 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) andAdvertising Expenditures (line – secondary axis).
Create a combo chart using the qualitative variable Date (x-axis)and the quantitative variables Quantity Sold (clustered column) andtotal Social Medial Posts and Event Promotions (line – secondaryaxis). Hint: create a pivot table variable to sum the social media postsand event promotions.
Create a box and whiskers chart using the qualitative variableQuantity Sold. This will help identify any outliers in the Quantity Solddata.
Create a histogram for the qualitative variable Flavor Rating. It isrecommended to use the data analysis add-in and the analysis toolHistogram to create the data for the visualization.
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