Question: Lab Insight: Apply the same steps in Lab 6 . 4 to the Alt Lab 6 . 4 Data.xlsx dataset. While Lab 6 . 4
Lab Insight: Apply the same steps in Lab to the Alt Lab Data.xlsx dataset. While Lab contains data for transactions with customers, the Alt Lab Data contain purchasing transactions with vendorssuppliers for raw materials, which will be converted into the beer that Slinte will sell to customers. A new data dictionary is presented in the Own the Data Section.
Required:
Create three pivot tables and pivot charts.
Pivot table and clustered column chart: RawMaterialsDescription for Rows and Sum of QuantityPurchased for Values
Pivot table and clustered column chart: RawMaterialsDescription for Rows and Count of PurchaseOrderID for Values Count of PurchaseOrderID indicates how many purchase transactions took place
Pivot table and line chart: PurchaseOrderDate for Rows and both measures Sum of QuantityPurchased and Count of PurchaseOrderID for Values
Create slicers and modify them so that the first is dashboardlevel and the second is reportlevel. Name the slicers as indicated.
Slicer : Dashboardlevel SupplierSt for all pivot tables
Slicer : Reportlevel RawMaterialsDescription associated with Pivot Table only
Work with the slicers to present different versions of the reports in the dashboard.
Filter for only Arkansas AR
Remove the filter
Filter for only MaltWheat
Data: Alt Lab Data.xlsx
Specify the Question:
What quantity of raw materials was purchased from vendorssuppliers and how many purchase transactions took place in each state?
What quantity of raw materials was purchased from vendorssuppliers and how many purchase transactions took place in each state on each transaction date?
Obtain the Data: This lab uses the data in Alt Lab Data.xlsx which contains vendor transaction data for Slinte from January through June of The data dictionary for this file appears on the following page. The data include three worksheetstables: PurchaseOrders, Suppliers, and RawMaterials. In the PurchaseOrders worksheettable the data include an observationrow for each purchase transaction and type of raw material purchased. So if a transaction included the purchase of two different raw materials, the dataset will have one unique PurchaseOrderID with two rows that is one for each raw material type
Analyze the Data: Alternate Labs don't have stepbystep instruction or video support. Apply your experience from the original lab. If needed, reference the text or eBook for instructions and steps from the original lab.
Answer the following questions based on the details computed.
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