Forum Discussion
Capitalize only first word
- 7 years ago
Hi Anonymous
Please see the M expression for the first part below, just split the column on the first left delimiter and then use Text.Proper next merge this columns back together.
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WKi5JLCpRKEmtKFGK1YlWSs1LgXJiAQ==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [label = _t]), #"Split Column by Delimiter" = Table.SplitColumn(Source, "label", Splitter.SplitTextByEachDelimiter({" "}, QuoteStyle.Csv, false), {"label.1", "label.2"}), #"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"label.1", type text}, {"label.2", type text}}), #"Capitalized Each Word" = Table.TransformColumns(#"Changed Type1",{{"label.1", Text.Proper, type text}}), #"Merged Columns" = Table.CombineColumns(#"Capitalized Each Word",{"label.1", "label.2"},Combiner.CombineTextByDelimiter(" ", QuoteStyle.None),"label") in #"Merged Columns"For the second bit, please can you provide bigger data sample?
Best Regards,
Mariusz
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Hi Mariusz, thanks for the fast reply. I confirm it works to split the column on the first space delimter, use Text.Proper on that first column only, and then merge the two columns back together again. I was a little surprised this cant be done in one line, like when formatting to Text.Proper. However, its simple enough, which I like. In reality I have a column that is populated with values separated by a comma from a 'select multiple' question in a survey. Some rows have one value, some two, some three. Eg.
MyFruit
--------
apples are red, bananas are yellow
oranges are orange, grapes are purple, mangoes are orange
blueberries are blue
I would like:
Apples are red, Bananas are yellow
Oranges are orange, Grapes are purple, Mangoes are orange
Blueberries are blue
Thanks everyone for the input. Roger
Hi Anonymous
You can copy the the below and paste it into Advance Editor of a Blank Query, from there you will be able to investigate the steps yourself.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("VYxBCoAwDAS/EnLORX1O6SHFUITahkgRf2/UXiSXze4wIeCEhKxa5AA2AZOVIHH1+4pLSmknRgo4O9qMax7slwmysY5Ku7mKYPel/bDXsLghlS5JzLYxPz/GeAM=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [id = _t, text = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"id", Int64.Type}, {"text", type text}}),
#"Split Column by Delimiter" = Table.ExpandListColumn(Table.TransformColumns(#"Changed Type", {{"text", Splitter.SplitTextByDelimiter(", ", QuoteStyle.Csv), let itemType = (type nullable text) meta [Serialized.Text = true] in type {itemType}}}), "text"),
#"Split Column by Delimiter1" = Table.SplitColumn(#"Split Column by Delimiter", "text", Splitter.SplitTextByEachDelimiter({" "}, QuoteStyle.Csv, false), {"text.1", "text.2"}),
#"Capitalized Each Word" = Table.TransformColumns(#"Split Column by Delimiter1",{{"text.1", Text.Proper, type text}}),
#"Merged Columns" = Table.CombineColumns(#"Capitalized Each Word",{"text.1", "text.2"},Combiner.CombineTextByDelimiter(" ", QuoteStyle.None),"text"),
#"Grouped Rows" = Table.Group(#"Merged Columns", {"id"}, {{"text", each _[text], type list}}),
#"Extracted Values" = Table.TransformColumns(#"Grouped Rows", {"text", each Text.Combine(List.Transform(_, Text.From), ", "), type text})
in
#"Extracted Values"
Let me know if you need anything else.
Mariusz
If this post helps, then please consider Accepting it as the solution.
Please feel free to connect with me.
- Anonymous7 years agoNot applicable
Hi Mariusz
I could follow the first example, but not the second example. Could you please explain to me the logical steps in English in the second example so I understand the logic?
Thanks, Roger