Comprehensive Power BI Desktop Example - Visualize Excel Data & Build Dynamic Dashboard
Offered By: ExcelIsFun via YouTube
Course Description
Overview
Syllabus
) Introduction to entire process for Power BI Desktop, including looking at the finished Dashboard.
) Import Multiple Excel Files From Folder.
) Name Query.
) Transform extension column to lowercase.
) Filter Files to only include “.xlsx” file extensions.
) Remove Columns.
) November 2016 Power Query Update Problem.
) Add Custom Column with Excel.Workbook Function to extract the Excel Objects from each File..
) Delete Content Column.
) Filter to only include Excel Sheet Objects.
) Filter to exclude sheets that contain the word “Sheet”.
) Remove Columns.
) Expand Data and Sheet Name Columns.
) Change Field Names.
) Change Data Types.
) Add Custom Column to calculate Net Revenue Column then round Number.Round function. Then Add Fixed Decimal Data Type..
) Remove columns for Amount and Revenue Discount.
) Close and Apply to add to Data Model.
) Import Excel Manager Table. Change Data Types to Text. Close and Apply.
) Create Relationship between Zip Code Columns.
) Create DAX Calculated Column with the IF Function to Categorize Retail Data. Change Data Type..
) Create DAX Measures for: Total Revenue, Total COGS and Gross Profit. Add Currency Number Formatting with No Decimals Showing..
) Create DAX Measures for: Gross Profit Percentage. Add Percentage Number Formatting with Two Decimals Showing..
) Create Map Visualization for Zip Code & Gross Profit Data (Zip Code with relationship to Managers).
) Create Clustered Bar for Manager Names & Gross Profit Data (Zip Code with relationship to Managers).
) Create Clustered Column for Product & Gross Profit Data, with a Line Chart for Gross Profit Percentage.
) Create Clustered Column for Payment Method & Gross Profit Data, with a Line Chart for Gross Profit Percentage.
) Create Slicer for States..
) Create Card Visualization for Total Revenue, Total COGS, Gross Profit and Gross Profit Percentage..
) Summary.
Taught by
ExcelIsFun
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