The purpose of Part 1 is to build, visualize, and interpret data models using PowerBI. Part...
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The purpose of Part 1 is to build, visualize, and interpret data models using PowerBI. Part 1: For this assignment, review the Canyon Sales dimensional model you built in Topic 1's Part 1 assignment and perform the following PowerBI: Load the Canyon Sales database into PowerBI. 4 dimensions and a fact should be loaded. Use bar chart to visualize units sold by product name. Explain and interpret the graph as if presenting to your manager and the team. Use bar chart to visualize units sold by year. Explain and interpret the graph as if presenting to your manager and the team. Use bar char to visualize units sold by store region name. Explain and interpret the graph as if presenting to your manager and the team. Use bar chart to visualize units sold by store region name and product vendor name. Explain and interpret the graph as if presenting to your manager and the team. Part 2: In this part, the student will learn how to perform feature extractions using DAX in PowerBI. MIDI, M HI- IIIII- www. Date column populated with 2 years worth of data from January 1st to December 31st. Date column populated with 2 years worth of data from January 1st to December 31st. Month column to display the name of the month. Year column to display the year. Month number to display the number of the month (ex: 1 for January). Week number to display the number of the week (ex: Jan 1 to Jan 7 is week number 1). Week day to display the name of the day (Jan 01 has a week day name of Sunday). Week day number to display the day number of the week day (ex: Sunday has a week day number 7). Is Workday: display 1 if it's a week day, otherwise 0. The purpose of Part 1 is to build, visualize, and interpret data models using PowerBI. Part 1: For this assignment, review the Canyon Sales dimensional model you built in Topic 1's Part 1 assignment and perform the following PowerBI: Load the Canyon Sales database into PowerBI. 4 dimensions and a fact should be loaded. Use bar chart to visualize units sold by product name. Explain and interpret the graph as if presenting to your manager and the team. Use bar chart to visualize units sold by year. Explain and interpret the graph as if presenting to your manager and the team. Use bar char to visualize units sold by store region name. Explain and interpret the graph as if presenting to your manager and the team. Use bar chart to visualize units sold by store region name and product vendor name. Explain and interpret the graph as if presenting to your manager and the team. Part 2: In this part, the student will learn how to perform feature extractions using DAX in PowerBI. MIDI, M HI- IIIII- www. Date column populated with 2 years worth of data from January 1st to December 31st. Date column populated with 2 years worth of data from January 1st to December 31st. Month column to display the name of the month. Year column to display the year. Month number to display the number of the month (ex: 1 for January). Week number to display the number of the week (ex: Jan 1 to Jan 7 is week number 1). Week day to display the name of the day (Jan 01 has a week day name of Sunday). Week day number to display the day number of the week day (ex: Sunday has a week day number 7). Is Workday: display 1 if it's a week day, otherwise 0.
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Auditing and Assurance services an integrated approach
ISBN: 978-0132575959
14th Edition
Authors: Alvin a. arens, Randal j. elder, Mark s. Beasley
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