Production Information Systems, Management, Supply Chain

Create a Dashboard to provide insight about your data.

Use the Nielsen data provided from the link below:

NIELSEN TOPLINE RATINGS FOR SUBSCRIBING RADIO STATIONS

Select radio market data from 1- 3 Florida markets (cities). Example: Walton Beach – Destin, FL

Export the data into an Excel spreadsheet, labeling the content by market/city.

Part A: Add a PivotTable to display summary data.

1. Create value fields
2. Create row dimensions
3. Add a basic filter for Model
4. Insert a Slider for Months
5. Insert a Timeline for Date

Use “Format as  Table” to format the PivotTable using colors of your choice. (Several PivotTable styles are available to choose from).

Note: In a Pivot Table report, the dimensions are the descriptive attributes used for labeling, grouping, and aggregating the data – for example, Type and Date. The measures are the numeric data points that can be used in mathematical operations; for example, sales, quantity, etc.

Part B: For this part, you are required to perform only one of the following activities:

1.  Add a PivotChart to provide additional insight about your data. You choose the appropriate dimension(s) and measure(s), and you choose the layout and design.
   Ensure that your PivotChart is relevant and is able to answer questions about your data.
2.  Add a Pie Chart to provide additional insight about your data. You choose the appropriate dimension(s) and measure(s), and you choose the layout and design. 
   Ensure that your PivotChart is relevant and is able to answer questions about your data.
3.  Add a Bar Graph to show the top category of products, providing additional insight about your data. You choose the appropriate dimension(s) and measure(s), and you choose the layout and design.
   Ensure that your PivotChart is relevant and is able to answer questions about your data.
4.  Add a Line Graph to provide additional insight about your data. You choose the appropriate dimension(s) and measure(s), and you choose the layout and design.
   Ensure that your PivotChart is relevant and is able to answer questions about your data.