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I have tabular excel data. I have wage rate (20, 25, 30, 35, and 40) in one column and <1, <2, <3, >=3 as columns. The wage rate repeats per division code. So division 1 has 20, 25, 30, 35, and 40 in cells 1-5. Division code 2 has 20, 25, 30, 35, and 40 in cells 6-10, etc. Please see below for reference.
How do I plot the costs (<1, <2, <3, >=3) on the x axis where the legend corresponds to the wage rate (20, 25, 30, 35, 40)?
I want it to look the graph below. Instead of Central, South, East, and West, I'm trying to do <1, <2, <3, and >=3. Instead of furniture, office supplies, and technology, I'm trying to do the wage rates.
Do you know how I can do this? For some reason, I haven't been able to add wage to the legend field.
Solved! Go to Solution.
Hi @pgd ,
Please try:
Unpivot columns:
Here is the M code:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("VY6xEcAwCAN3ce0iYAzxLLnsv0aQLsGXRoUeCV1X06P1JpA5U0xShsFrd08MUxUSwAM4Cg8Gcc7Dk7I2Zppt6F2eErvcmIYp1cuK9zdwwFxScqJxT5t4pqsqtDCnOdIOU+Kf5jTnIIgjbbMwp5l9ewNBeonvBw==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Wage Rate" = _t, #"<1" = _t, #"<2" = _t, #"<3" = _t, #">=3" = _t, Division = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Wage Rate", Int64.Type}, {"<1", Int64.Type}, {"<2", Int64.Type}, {"<3", Int64.Type}, {">=3", Int64.Type}, {"Division", Int64.Type}}),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Wage Rate", "Division"}, "Attribute", "Value")
in
#"Unpivoted Columns"
Then creaete the visual:
Final output:
Best Regards,
Jianbo Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @pgd ,
Please try:
Unpivot columns:
Here is the M code:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("VY6xEcAwCAN3ce0iYAzxLLnsv0aQLsGXRoUeCV1X06P1JpA5U0xShsFrd08MUxUSwAM4Cg8Gcc7Dk7I2Zppt6F2eErvcmIYp1cuK9zdwwFxScqJxT5t4pqsqtDCnOdIOU+Kf5jTnIIgjbbMwp5l9ewNBeonvBw==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Wage Rate" = _t, #"<1" = _t, #"<2" = _t, #"<3" = _t, #">=3" = _t, Division = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Wage Rate", Int64.Type}, {"<1", Int64.Type}, {"<2", Int64.Type}, {"<3", Int64.Type}, {">=3", Int64.Type}, {"Division", Int64.Type}}),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Wage Rate", "Division"}, "Attribute", "Value")
in
#"Unpivoted Columns"
Then creaete the visual:
Final output:
Best Regards,
Jianbo Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.