Power BI is turning 10! Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future.
Save the dateEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
Hi guys:
Like below table, operator will inspect the product every day, and they will record the defects they found in column Defect 1~4
Inspection Date | Defect 1 | Defect 2 | Defect 3 | Defect 4 |
2023/1/1 | Box Broken | Soldering Fail | Low Battery | Product Scratch |
2023/1/2 | Low battery | Product Scratch | ||
2023/1/3 | Product broken | Low battery | ||
2023/1/4 | Cable Disconnected |
Then I want to create a chart that shows the data, such as how many types of defects are found, how many times each defect is found, and the trend by date of each defect type, could you help check how to meak it?
Solved! Go to Solution.
Hi @york ,
@jennratten 's solution is done in Power Query and the key is to unpivot columns.
Click "Transform data" to go to Power Query Editor.
In Power Query, select the below four columns at the same time and click "Unpivot Columns".
And then the four columns are converted to a Attribute column and a Value column.
Then click "Close&Apply" to go back to Power BI Desktop, create the below matrix.
Best Regards,
Stephen Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @york ,
@jennratten 's solution is done in Power Query and the key is to unpivot columns.
Click "Transform data" to go to Power Query Editor.
In Power Query, select the below four columns at the same time and click "Unpivot Columns".
And then the four columns are converted to a Attribute column and a Value column.
Then click "Close&Apply" to go back to Power BI Desktop, create the below matrix.
Best Regards,
Stephen Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hello - I recommend unpivoting the columns like this:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjIwMtY31DdU0lFyyq9QcCrKz07NA3KC83NSUosy89IV3BIzc4ACPvnlCk6JJSWpRZVAXkBRfkppcolCcHJRYklyhlKsDtwoI6jiJJyKdZQUwBhJkzGSsiSYGxRQjcHQZAIUcE5MyklVcMksTs7Py0tNLklNgasEq44FAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Inspection Date" = _t, #"Defect 1" = _t, #"Defect 2" = _t, #"Defect 3" = _t, #"Defect 4" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Inspection Date", type date}, {"Defect 1", type text}, {"Defect 2", type text}, {"Defect 3", type text}, {"Defect 4", type text}}),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Inspection Date"}, "Attribute", "Value"),
#"Filtered Rows" = Table.SelectRows(#"Unpivoted Other Columns", each ([Value] <> " "))
in
#"Filtered Rows"
You can then add the data to a visual:
If this post helps to answer your questions, please consider marking it as a solution so others can find it more quickly when faced with a similar challenge.
Proud to be a Microsoft Fabric Super User
Hi Jenn:
Thank you very much for your reply, I'm new in Power BI, so I want to know where to input the code that you provided in the Power BI Desktop?
And I have a table not only contain the columns of the Inspection date, defects, but also the products name, product SKU, inspection result... And I hope the chart can be created in the report view, and the defects may be can be shown in the chart by date/product type/product name...