Forum Discussion
PowerBiNJ
2 years agoRegular Visitor
Get Survey Summary By Org
I need to get a summary of Survey Response by ORG. For example, I need to get % summary of Survey Responses for ORG 1 --> Grouped By Category (Cat1, Cat 2, Cat3) -->drill down to individual Q's 1 ...
- Anonymous2 years ago
Hi PowerBiNJ ,
Please update the applied codes in your Advanced Editor:
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("rdK7DoMwDAXQX6kyM0AePPbufADK0AExgRDi/4VAqsDmXpqhg4co8okdu+tMuwyvwmTm3c+fZR37aT2Oe+QPIe9jBiFLEopLSJRADiRqUD7yhayEPEE4SKBA2kGwhJyESpLAg0BVQjX4sxVUw8nc2/1ZUUPaYh9/VuTVQuKtuyunxqSn4aMl4DVZOOWU5Q5KckBJWwEt+b9JgXbBOoxxAw==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Org Name" = _t, #"Department Name" = _t, #"Cat 1 Level 1 Q1" = _t, #"Cat 1 Level 1 Q2" = _t, #"Cat 1 Level 2 Q1" = _t, #"Cat 1 Level 2 Q2" = _t, #"Cat 1 Level 2 Q3" = _t, #"Cat 2 Level 1 Q1" = _t, #"Cat 2 Level 2 Q1" = _t, #"Cat 2 Level 2 Q2" = _t, #"Cat 2 Level 2 Q3" = _t, #"Cat 2 Level 3 Q1" = _t, #"Cat 2 Level 3 Q2" = _t, #"Cat 3 Level 3 Q3" = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Org Name", type text}, {"Department Name", type text}, {"Cat 1 Level 1 Q1", Int64.Type}, {"Cat 1 Level 1 Q2", Int64.Type}, {"Cat 1 Level 2 Q1", Int64.Type}, {"Cat 1 Level 2 Q2", Int64.Type}, {"Cat 1 Level 2 Q3", Int64.Type}, {"Cat 2 Level 1 Q1", Int64.Type}, {"Cat 2 Level 2 Q1", Int64.Type}, {"Cat 2 Level 2 Q2", Int64.Type}, {"Cat 2 Level 2 Q3", Int64.Type}, {"Cat 2 Level 3 Q1", Int64.Type}, {"Cat 2 Level 3 Q2", Int64.Type}, {"Cat 3 Level 3 Q3", Int64.Type}}), #"Unpivoted Only Selected Columns" = Table.Unpivot(#"Changed Type", {"Cat 1 Level 1 Q1", "Cat 1 Level 1 Q2", "Cat 1 Level 2 Q1", "Cat 1 Level 2 Q2", "Cat 1 Level 2 Q3", "Cat 2 Level 1 Q1", "Cat 2 Level 2 Q1", "Cat 2 Level 2 Q2", "Cat 2 Level 2 Q3", "Cat 2 Level 3 Q1", "Cat 2 Level 3 Q2", "Cat 3 Level 3 Q3"}, "Attribute", "Value"), #"Replaced Value" = Table.ReplaceValue(#"Unpivoted Only Selected Columns","Cat ","Cat", Replacer.ReplaceText,{"Attribute"}), #"Replaced Value1" = Table.ReplaceValue(#"Replaced Value","Level ","Level",Replacer.ReplaceText,{"Attribute"}), #"Split Column by Delimiter" = Table.SplitColumn(#"Replaced Value1", "Attribute", Splitter.SplitTextByDelimiter(" ", QuoteStyle.Csv), {"Category", "Level", "Question"}), #"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Category", type text}, {"Level", type text}, {"Question", type text}}), #"Pivoted Column" = Table.Pivot(#"Changed Type1", List.Distinct(#"Changed Type1"[Question]), "Question", "Value", List.Sum) in #"Pivoted Column"Best Regards
Anonymous
2 years agoNot applicable
Hi PowerBiNJ ,
I created a sample pbix file(see the attachment), please check if that is what you want.
Best Regards
PowerBiNJ
2 years agoRegular Visitor
Hi, thank you for working on this...Is it possible to not merge all Q1,Q2,Q3 together? Every Question is different in in Category and Level.
Can i just remove the last part "Question" of the Transform Colummn Type-->Split By Column?
- Anonymous2 years agoNot applicable
Hi PowerBiNJ ,
Please update the applied codes in your Advanced Editor:
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("rdK7DoMwDAXQX6kyM0AePPbufADK0AExgRDi/4VAqsDmXpqhg4co8okdu+tMuwyvwmTm3c+fZR37aT2Oe+QPIe9jBiFLEopLSJRADiRqUD7yhayEPEE4SKBA2kGwhJyESpLAg0BVQjX4sxVUw8nc2/1ZUUPaYh9/VuTVQuKtuyunxqSn4aMl4DVZOOWU5Q5KckBJWwEt+b9JgXbBOoxxAw==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Org Name" = _t, #"Department Name" = _t, #"Cat 1 Level 1 Q1" = _t, #"Cat 1 Level 1 Q2" = _t, #"Cat 1 Level 2 Q1" = _t, #"Cat 1 Level 2 Q2" = _t, #"Cat 1 Level 2 Q3" = _t, #"Cat 2 Level 1 Q1" = _t, #"Cat 2 Level 2 Q1" = _t, #"Cat 2 Level 2 Q2" = _t, #"Cat 2 Level 2 Q3" = _t, #"Cat 2 Level 3 Q1" = _t, #"Cat 2 Level 3 Q2" = _t, #"Cat 3 Level 3 Q3" = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Org Name", type text}, {"Department Name", type text}, {"Cat 1 Level 1 Q1", Int64.Type}, {"Cat 1 Level 1 Q2", Int64.Type}, {"Cat 1 Level 2 Q1", Int64.Type}, {"Cat 1 Level 2 Q2", Int64.Type}, {"Cat 1 Level 2 Q3", Int64.Type}, {"Cat 2 Level 1 Q1", Int64.Type}, {"Cat 2 Level 2 Q1", Int64.Type}, {"Cat 2 Level 2 Q2", Int64.Type}, {"Cat 2 Level 2 Q3", Int64.Type}, {"Cat 2 Level 3 Q1", Int64.Type}, {"Cat 2 Level 3 Q2", Int64.Type}, {"Cat 3 Level 3 Q3", Int64.Type}}), #"Unpivoted Only Selected Columns" = Table.Unpivot(#"Changed Type", {"Cat 1 Level 1 Q1", "Cat 1 Level 1 Q2", "Cat 1 Level 2 Q1", "Cat 1 Level 2 Q2", "Cat 1 Level 2 Q3", "Cat 2 Level 1 Q1", "Cat 2 Level 2 Q1", "Cat 2 Level 2 Q2", "Cat 2 Level 2 Q3", "Cat 2 Level 3 Q1", "Cat 2 Level 3 Q2", "Cat 3 Level 3 Q3"}, "Attribute", "Value"), #"Replaced Value" = Table.ReplaceValue(#"Unpivoted Only Selected Columns","Cat ","Cat", Replacer.ReplaceText,{"Attribute"}), #"Replaced Value1" = Table.ReplaceValue(#"Replaced Value","Level ","Level",Replacer.ReplaceText,{"Attribute"}), #"Split Column by Delimiter" = Table.SplitColumn(#"Replaced Value1", "Attribute", Splitter.SplitTextByDelimiter(" ", QuoteStyle.Csv), {"Category", "Level", "Question"}), #"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Category", type text}, {"Level", type text}, {"Question", type text}}), #"Pivoted Column" = Table.Pivot(#"Changed Type1", List.Distinct(#"Changed Type1"[Question]), "Question", "Value", List.Sum) in #"Pivoted Column"Best Regards