Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Find everything you need to get certified on Fabric—skills challenges, live sessions, exam prep, role guidance, and more. Get started

Reply
See_Mun
Regular Visitor

Automate report from MS Form survey

Hi there,

 

I'm new in using Power BI, and am struggling in creating an automated report using data feed from an ongoing survey (MS Form). Going through the posts in this forum, I've learnt about unpivot column which is an excellent tip.

 

However, given the nature of the survey, one part of the Form consists of multiple sections (with 4 questions repeated 5 times as below):

a) Site type (drop down box for a single select answer)

b) Support provided (drop down box for a single select answer)

c) Time spent (number value)

d) Add another entry (which cycle back to a new section duplicated with questions a-d)

The answers collected in the Excel spreadsheet look like this:

Site typeSupport providedTime spent (GxP1)Add new GxP "enhanced" support?Site type (2)Support provided (2)Time spent (GxP2)Add new GxP "enhanced" support?1Site type (3)Support provided (3)Time spent (GxP3)Add new GxP "enhanced" support?2Site type (4)Support provided (4)
 Offshore New build5Yes  Office  PQS1.5Yes Hospital Facility & equipment3YesOnsite Pathfinder site
 Onsite Pathfinder site1Yes Hospital  New build1Yes Offshore PQS1YesHospitalFacility & equipment

 

How can I present the data to show how much time is spent on each site type, and for each support provided? The problem with 'unpivot column' is that it gives me answers combining number and text under a single 'value' column.

 

Any advice is much appreciated. Thank you.

 

SMW

 

2 ACCEPTED SOLUTIONS
lbendlin
Super User
Super User

The column naming is inconsistent across groups.  This needs to be corrected before re-pivoting

 

lbendlin_0-1715882177963.png

 

lbendlin_1-1715882641509.png

 

Code can be optimized

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("jZAxb4MwEIX/yslTIkVVgLRr1SXJVKjoUgEDxYc4CYyLTdP8+56TNILKkTJYtt+7++7ZWSZSsgj2qFGsRDpq3Q8W9NB/k0TJ0jt1CEajsrDY/STBkrUXKUHhAfgOuUDVlKpCmQsw5/5nh/rDwiJcetAX+R8+vAsfzPmRnx95+NFd/HDO3/j5LBerTEBc16bpB/d/8MrYz5Fa93OPvD7QONnVUHWqgOQt5T14mNj73miyZevO27KiluwR8nG9Dp8Av0bSHednM7q2xMpwPleflLapSUkc4CSdI920ebJ/7iz6pGb6ukv0qznpvx27KH4B", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t, Column5 = _t, Column6 = _t, Column7 = _t, Column8 = _t, Column9 = _t, Column10 = _t, Column11 = _t, Column12 = _t, Column13 = _t, Column14 = _t]),
    #"Promoted Headers" = Table.PromoteHeaders(Source, [PromoteAllScalars=true]),
    #"Added Index" = Table.AddIndexColumn(#"Promoted Headers", "Line", 1, 1, Int64.Type),
    #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Added Index", {"Line"}, "Attribute", "Value"),
    #"Replaced Value" = Table.ReplaceValue(#"Unpivoted Columns","Site type","Site type (1)",Replacer.ReplaceValue,{"Attribute", "Value"}),
    #"Replaced Value1" = Table.ReplaceValue(#"Replaced Value","Support provided","Support provided (1)",Replacer.ReplaceValue,{"Attribute"}),
    #"Replaced Value2" = Table.ReplaceValue(#"Replaced Value1","Add new GxP ""enhanced"" support?","Add new GxP ""enhanced"" support?(1)",Replacer.ReplaceValue,{"Attribute"}),
    #"Replaced Value3" = Table.ReplaceValue(#"Replaced Value2","Add new GxP ""enhanced"" support?1","Add new GxP ""enhanced"" support?(2)",Replacer.ReplaceValue,{"Attribute"}),
    #"Replaced Value4" = Table.ReplaceValue(#"Replaced Value3","Add new GxP ""enhanced"" support?2","Add new GxP ""enhanced"" support?(3)",Replacer.ReplaceValue,{"Attribute"}),
    #"Split Column by Delimiter" = Table.SplitColumn(#"Replaced Value4", "Attribute", Splitter.SplitTextByEachDelimiter({"("}, QuoteStyle.Csv, false), {"Attribute", "Index"}),
    #"Replaced Value5" = Table.ReplaceValue(#"Split Column by Delimiter",")","",Replacer.ReplaceText,{"Index"}),
    #"Replaced Value6" = Table.ReplaceValue(#"Replaced Value5","GxP","",Replacer.ReplaceText,{"Index"}),
    #"Pivoted Column" = Table.Pivot(#"Replaced Value6", List.Distinct(#"Replaced Value6"[Attribute]), "Attribute", "Value")
in
    #"Pivoted Column"

How to use this code: Create a new Blank Query. Click on "Advanced Editor". Replace the code in the window with the code provided here. Click "Done". Once you examined the code, replace the Source step with your own source.

View solution in original post

You can pivot that table if you drop the AnswerKey column.

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("fZJtT8IwEMe/SsNrNbC2a33pQ1RiohiMvpi8GFCkcWy1DwJJP7zHlhGQm0mz5O7+t9/9r82y3vA2xivvrZ4Gry4GMd5vRmRYztUmxre8CArKpVsrSx7Vtjc5y3pJjGPtFfFbA0XoeF4s3LKyu4DvFcGYynpibPWj52peC+/ymS6035KP0O8nKVHfQZuVKj1U07bzVa8UcabJxsjgK+oaO+GWbhefExhAzyDHkr0Qw18rZ6ov+IHNdanLT2igbcMfKoUaQ6gw30PljPZ5AQrejQPh6GUMmhQjJPVhja+0e5+C7hWYoSe1JtOgC4gEa5WnTgRHOMnB/m7ylQkOhGk3rjUkBAZqDAmJgOiRoctuAsVuSPYxHK2PHCA4duDrPbdqWQUHaZl0g9m/L1NSbALWTMCQCfjhG5G8m8uPblCmGIfXKAlLn/wC", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t]),
    #"Split Column by Delimiter" = Table.SplitColumn(Source, "Column1", Splitter.SplitTextByDelimiter("||", QuoteStyle.Csv), {"Column1.1", "Column1.2", "Column1.3", "Column1.4", "Column1.5"}),
    #"Promoted Headers" = Table.PromoteHeaders(#"Split Column by Delimiter", [PromoteAllScalars=true]),
    #"Changed Type" = Table.TransformColumnTypes(#"Promoted Headers",{{"ID", Int64.Type}, {"Attribute.1", type text}, {"GxP Index", Int64.Type}, {"Value", type text}, {"Answer Key", Int64.Type}}),
    #"Removed Other Columns" = Table.SelectColumns(#"Changed Type",{"ID", "Attribute.1", "GxP Index", "Value"}),
    #"Pivoted Column" = Table.Pivot(#"Removed Other Columns", List.Distinct(#"Removed Other Columns"[Attribute.1]), "Attribute.1", "Value")
in
    #"Pivoted Column"

View solution in original post

6 REPLIES 6
See_Mun
Regular Visitor

Following on my query above, I'm now struggling to create a pivot chart to show the amount of time spent for each 'site type' and for each type of 'support provided'.

 

Here's the table that I have produced so far, where the 'Answer Key' is connected to my main 'Responses' table.

Pivoting the table  below failed to give me the chart that I need. Any help or advice would be much appreciated. Thank you so much!

 

best wishes,

SMW

 

ID

Attribute.1

GxP Index

Value

Answer Key

2

Site type

1

Offshore

15

2

Support provided

1

Facility & equipment

16

2

Time spent

1

4

17

4

Site type

1

Onsite - Office

42

4

Support provided

1

Bespoke training

43

4

Time spent

1

3

44

4

Site type

2

Hospital

45

4

Support provided

2

PQS

46

4

Time spent

2

2

47

6

Site type

1

Offshore

73

6

Support provided

1

New build

74

6

Time spent

1

3

75

6

Site type

2

Onsite - Campus

76

6

Support provided

2

PQS

77

6

Time spent

2

2

78

6

Site type

3

Offshore

79

6

Support provided

3

Bespoke training

80

6

Time spent

3

3

81

6

Site type

4

Onsite - Warehouse

82

6

Support provided

4

Facility & equipment

83

6

Time spent

4

3

84

6

Site type

5

Hospital

85

6

Support provided

5

New build

86

6

Time spent

5

4

87

What would be the expected outcome?

The expected outcome is this where each bar represent one site type. To do it, I had to use many to many relationship by joining up 'ID' of the responses; and remove 'Answer Key', which is not ideal. When I tried incorporating 'Answer key', pivoting the columns returned errors in some cells. Do you think that this is the compromise or is there a better way? Thanks.

See_Mun_0-1716453152145.png

 

best wishes,

SMW

You can pivot that table if you drop the AnswerKey column.

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("fZJtT8IwEMe/SsNrNbC2a33pQ1RiohiMvpi8GFCkcWy1DwJJP7zHlhGQm0mz5O7+t9/9r82y3vA2xivvrZ4Gry4GMd5vRmRYztUmxre8CArKpVsrSx7Vtjc5y3pJjGPtFfFbA0XoeF4s3LKyu4DvFcGYynpibPWj52peC+/ymS6035KP0O8nKVHfQZuVKj1U07bzVa8UcabJxsjgK+oaO+GWbhefExhAzyDHkr0Qw18rZ6ov+IHNdanLT2igbcMfKoUaQ6gw30PljPZ5AQrejQPh6GUMmhQjJPVhja+0e5+C7hWYoSe1JtOgC4gEa5WnTgRHOMnB/m7ylQkOhGk3rjUkBAZqDAmJgOiRoctuAsVuSPYxHK2PHCA4duDrPbdqWQUHaZl0g9m/L1NSbALWTMCQCfjhG5G8m8uPblCmGIfXKAlLn/wC", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t]),
    #"Split Column by Delimiter" = Table.SplitColumn(Source, "Column1", Splitter.SplitTextByDelimiter("||", QuoteStyle.Csv), {"Column1.1", "Column1.2", "Column1.3", "Column1.4", "Column1.5"}),
    #"Promoted Headers" = Table.PromoteHeaders(#"Split Column by Delimiter", [PromoteAllScalars=true]),
    #"Changed Type" = Table.TransformColumnTypes(#"Promoted Headers",{{"ID", Int64.Type}, {"Attribute.1", type text}, {"GxP Index", Int64.Type}, {"Value", type text}, {"Answer Key", Int64.Type}}),
    #"Removed Other Columns" = Table.SelectColumns(#"Changed Type",{"ID", "Attribute.1", "GxP Index", "Value"}),
    #"Pivoted Column" = Table.Pivot(#"Removed Other Columns", List.Distinct(#"Removed Other Columns"[Attribute.1]), "Attribute.1", "Value")
in
    #"Pivoted Column"
lbendlin
Super User
Super User

The column naming is inconsistent across groups.  This needs to be corrected before re-pivoting

 

lbendlin_0-1715882177963.png

 

lbendlin_1-1715882641509.png

 

Code can be optimized

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("jZAxb4MwEIX/yslTIkVVgLRr1SXJVKjoUgEDxYc4CYyLTdP8+56TNILKkTJYtt+7++7ZWSZSsgj2qFGsRDpq3Q8W9NB/k0TJ0jt1CEajsrDY/STBkrUXKUHhAfgOuUDVlKpCmQsw5/5nh/rDwiJcetAX+R8+vAsfzPmRnx95+NFd/HDO3/j5LBerTEBc16bpB/d/8MrYz5Fa93OPvD7QONnVUHWqgOQt5T14mNj73miyZevO27KiluwR8nG9Dp8Av0bSHednM7q2xMpwPleflLapSUkc4CSdI920ebJ/7iz6pGb6ukv0qznpvx27KH4B", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t, Column5 = _t, Column6 = _t, Column7 = _t, Column8 = _t, Column9 = _t, Column10 = _t, Column11 = _t, Column12 = _t, Column13 = _t, Column14 = _t]),
    #"Promoted Headers" = Table.PromoteHeaders(Source, [PromoteAllScalars=true]),
    #"Added Index" = Table.AddIndexColumn(#"Promoted Headers", "Line", 1, 1, Int64.Type),
    #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Added Index", {"Line"}, "Attribute", "Value"),
    #"Replaced Value" = Table.ReplaceValue(#"Unpivoted Columns","Site type","Site type (1)",Replacer.ReplaceValue,{"Attribute", "Value"}),
    #"Replaced Value1" = Table.ReplaceValue(#"Replaced Value","Support provided","Support provided (1)",Replacer.ReplaceValue,{"Attribute"}),
    #"Replaced Value2" = Table.ReplaceValue(#"Replaced Value1","Add new GxP ""enhanced"" support?","Add new GxP ""enhanced"" support?(1)",Replacer.ReplaceValue,{"Attribute"}),
    #"Replaced Value3" = Table.ReplaceValue(#"Replaced Value2","Add new GxP ""enhanced"" support?1","Add new GxP ""enhanced"" support?(2)",Replacer.ReplaceValue,{"Attribute"}),
    #"Replaced Value4" = Table.ReplaceValue(#"Replaced Value3","Add new GxP ""enhanced"" support?2","Add new GxP ""enhanced"" support?(3)",Replacer.ReplaceValue,{"Attribute"}),
    #"Split Column by Delimiter" = Table.SplitColumn(#"Replaced Value4", "Attribute", Splitter.SplitTextByEachDelimiter({"("}, QuoteStyle.Csv, false), {"Attribute", "Index"}),
    #"Replaced Value5" = Table.ReplaceValue(#"Split Column by Delimiter",")","",Replacer.ReplaceText,{"Index"}),
    #"Replaced Value6" = Table.ReplaceValue(#"Replaced Value5","GxP","",Replacer.ReplaceText,{"Index"}),
    #"Pivoted Column" = Table.Pivot(#"Replaced Value6", List.Distinct(#"Replaced Value6"[Attribute]), "Attribute", "Value")
in
    #"Pivoted Column"

How to use this code: Create a new Blank Query. Click on "Advanced Editor". Replace the code in the window with the code provided here. Click "Done". Once you examined the code, replace the Source step with your own source.

Hi @IB ,

 

Thank you so much for your help. It works beautifully. 

 

best wishes

SMW

Helpful resources

Announcements
Sept PBI Carousel

Power BI Monthly Update - September 2024

Check out the September 2024 Power BI update to learn about new features.

September Hackathon Carousel

Microsoft Fabric & AI Learning Hackathon

Learn from experts, get hands-on experience, and win awesome prizes.

Sept NL Carousel

Fabric Community Update - September 2024

Find out what's new and trending in the Fabric Community.

Top Solution Authors