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POWER BI Assignment : Data 1 . Combine sales files into 1 dataset, Total _ Sales 2 . Create a group for the old /

POWER BI Assignment :
Data
1. Combine sales files into 1 dataset, Total_Sales
2. Create a group for the old/outdated files, Old_Files move Sales files for 2015,2016,2017 in there
3. Check the column formats for all datasets
4. For the Products , add a new column with a formula for (Net) Profit Margin, I want to know how much money the company makes per product in % terms. Call it Profit_Margin
(Tip: Check Google if you dont know the formula)
5. Create another column where if the margin is below 20%-Low profit, if over 20% but less than 40%- Average Profit, if over 40% but less than 70%-High Profit, if over 70% but less than 100%-Top Profit, if 100%-Asset Transfer. Call the column Profit_Category
(Tip : IF,AND)
Model
Connect datasets
Data
6. In the Total_Sales dataset create a column Product_Price which brings ProductPrice values from Products dataset
7. Create another Column in Total_Sales, name it Revenue_per_Product, multiple Product_Price and OrderQuantity columns
8. In the Products dataset , ProductColor , replace N/As with No Color
Report
1. Create a tree map. I want to see Top 10 products Names by Revenue, I also want to see profit margin for each of them on the chart
2. Rename or delete the Title. I dont want to see _ signs and lengthy naming
3. Add a map, Use Revenue for the size and Continent as location. Align the map and fix the title
4. Create a donut chart. I want to see what are the most popular colors. Use ProductColor and Revenue per Product . Adjust the chart in the way anyone can easily read it. Fix labels and titles. If you have red color it has to be a red color in the Data colors.
5. Add slicer, use order date from Total_Sales dataset
6. Add table, with the Product name , filter it by top 10 by revenue per product. Add Profit_Category to the table
(You can see the visual sample below Page 3)
Adjust your report in the way it looks proficient. Work on fonts, background, titles and labels accordingly

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