Automate report from MS Form survey

[Syndicate_Admin]

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 type

Support provided

Time spent (GxP1)

Add new GxP "enhanced" support?

Site type (2)

Support provided (2)

Time spent (GxP2)

Add new GxP "enhanced" support?1

Site type (3)

Support provided (3)

Time spent (GxP3)

Add new GxP "enhanced" support?2

Site type (4)

Support provided (4)

Offshore

New build

5

Yes

Office

PQS

1.5

Yes

Hospital

Facility & equipment

3

Yes

Onsite

Pathfinder site

Onsite

Pathfinder site

1

Yes

Hospital

New build

1

Yes

Offshore

PQS

1

Yes

Hospital

Facility & 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

[Syndicate_Admin]

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

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.

[Syndicate_Admin]

Hi @IB ,

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

best wishes

SMW

[Syndicate_Admin]

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

[Syndicate_Admin]

What would be the expected outcome?

[Syndicate_Admin]

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.

best wishes,

SMW

[Syndicate_Admin]

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"