I have a list of residents who have different professions including being a student. However, some have written “Student” or “Overseas Student” or something else with the word student in it. I would like Power Query to search the column for any cell containing “Student” and replace it with “Student” so it removes any other references. Please can someone help?
I have tried to write the formula but no it have been successful.
You'll need to use the Text.Contains function, this will return a True/False, if the search text is in the column. You will need to then wrap it with a IF statement like:
if Text.Contains([Column1], "Student") then "Student" else [Column1]
Which will result in the following new column.
It's not clear from your question, if you want to replace items in a string with "I am a overseas student" to "I am a student", you'll have to use the replace & contains function, with a multiple if statement, to check what string you are searching for then replace that value.
You can Transform the column in Power Query: (You'll need to edit your M-Code in the Advanced Editor to add the #"Normalize Student" line)
Source
M Code
let
Source = Excel.CurrentWorkbook(){[Name="Table7"]}[Content],
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Profession", type text}}),
//edit table and column name to reflect your actual variables
#"Normalize Student" = Table.TransformColumns(#"Changed Type", {
"Profession", each if Text.Contains(_, "student", Comparer.OrdinalIgnoreCase) then "Student" else _, type text
})
in
#"Normalize Student"
Result
Related
I have a Source file that has a set of columns, each of binary type (true, false). I then have a processing (transform) table which has one or more rows, each row specifying a new column to be added to the Source, along with the expression to use to populate that column based on existing columns. In Power Query, I want to be able to extend the Source table with these additional column definitions. There can be any number of transform rows, so I would need to do this dynamically based on row count. Click on link below for an illustration of what I'm shooting for.
I believe this can be achieved using List.Accumulate in Power Query, but I haven't figured out exactly how to do it. Any suggestions?
Here is a method using List.Generate:
let
Transform = Excel.CurrentWorkbook(){[Name="Transform"]}[Content],
#"Transform Table" = Table.TransformColumnTypes(Transform, {{"Col Name", type text},{"Col Formula", type text}}),
Source = Excel.CurrentWorkbook(){[Name="Source"]}[Content],
#"Source Table" = Table.TransformColumnTypes(Source,{{"A", type logical}, {"B", type logical}, {"C", type logical}}),
addCol = List.Last(
List.Generate(
()=>[c=Table.AddColumn(#"Source Table", #"Transform Table"[Col Name]{0},
Expression.Evaluate("each " & #"Transform Table"[Col Formula]{0}), type logical),
idx=0],
each [idx] < Table.RowCount(#"Transform Table"),
each [c=Table.AddColumn([c], #"Transform Table"[Col Name]{[idx]+1},
Expression.Evaluate("each " & #"Transform Table"[Col Formula]{[idx]+1}), type logical),
idx=[idx]+1],
each [c]))
in
addCol
I am new to Power Query and I would like to ask more experienced people about it.
I am trying to solve problem with Text.Combine where I would like to combine together value in specific column and column name of actual cell.
Do you have any idea?
My idea is formula similar to this:
=Text.Combine({[kod], Column.Name},";")
Thank you very much for answer.
Tomas
Edit 8.12.2021:
#horseyride
I actually try fill columns automatically with data in following format where first part will be value from actual row and actual column name:
For e.g.:
8M0183:F01A0101.B in first row, second column,
8M0182:F01A0102.A in second row, first column
Table example mentioned bellow.
Thank you very much for all answers.
see if this works for you. It combines the KOD column with the column name into each null cell, for every column that is not named KOD
It finds all column not named KOD. It converts those to text. It replaces all nulls with a placeholder, here "xxx". We unpivot to get everything to just three columns. We then combine the column title and the cell contents if the cell contents is equal to the placeholder. Pivot to get back to original format
let Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
ColumnList=List.Difference(Table.ColumnNames(Source),{"KOD"}),
ConvertToText= Table.TransformColumnTypes (Source,List.Transform(ColumnList, each {_ , type text})),
ReplaceNullsWithPlaceholder = Table.ReplaceValue(ConvertToText,null,"xxx",Replacer.ReplaceValue,ColumnList),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(ReplaceNullsWithPlaceholder, {"KOD"}, "Attribute", "Value"),
CombineColumnAndRow = Table.AddColumn(#"Unpivoted Other Columns", "Value2", each if [Value]="xxx" then [Attribute]&":"&[KOD] else [Value]),
#"Removed Columns" = Table.RemoveColumns(CombineColumnAndRow,{"Value"}),
#"Pivoted Column1" = Table.Pivot(#"Removed Columns", List.Distinct(#"Removed Columns"[Attribute]), "Attribute", "Value2")
in #"Pivoted Column1"
Next step? I have brought with sumifs and a lot sumif from other workbook, information to the exact row, column in excel workbook. Now I want to do the same with query language. I can bring two values if condition is met, but then it is unclear how I will bring the total sum to the one row in excel workbook. Can anyone show me the path? I guess I will need Data Model...
= Table.AddColumn(#"Changed Type", "Sumif", each if [Column2] =2 or [Column2]=1 then [Column3]+[Column4] else 0)
let
Source = Folder.Files...
#"C:\Users...
#"Imported Excel" = Excel.Workbook(#"C:\...
SegPL_Chart = #"Imported Excel"{[Name="SegPL_Chart"]}[Data],
#"Removed Top Rows" = Table.Skip(SegPL_Chart,12),
#"Removed Alternate Rows" = Table.AlternateRows(#"Removed Top Rows",1,1,90),
#"Promoted Headers" = Table.PromoteHeaders(#"Removed Alternate Rows"),
#"Filtered Rows" = Table.SelectRows(#"Promoted Headers", each ([Col1]="1" or [Col1]="2")),
#"Table Group = Table.Group(#"Filtered Rows", {}, List.TransformMany(Table.ColumnNames(#"Filtered Rows",(x)=>{each if x = "Names" then "Totals" else List.Sum(Table.Column(_,x))},(x,y)=>{x,y})),
#"append" = Table.Combine({#"Filtered Rows",#"Table Group"})
in
#"append"
It gives an error "in" Token comma needed..? What else I need to do bring total rows?
You can use several steps to create several helper columns with intermediate results of conditional sums. Then you can create a new column, sum up all the intermediate results and the delete the helper columns with the intermediate results.
Keep in mind that unlike Excel, the calculations in Power Query always return constants and you can then delete calculated columns you no longer need. So,
Create helper column 1 with complicated IF and Sum scenario
Create helper column 2 with complicated IF and Sum scenario
Create total column to add column 1 + column 2
Delete helper columns and keep only the total column
That gives me exact result what I was looking for, but it is with DAX formula in PowerPivot:
=SUMX(FILTER('TableName',[ColName] = 1),'TableName'[ColName2])
So would be glad to convert it to Power-Query formula
I want to expand all lists and records in a json response.
Columns are like e.g. (this is dynamically, it also can be 10 records and 5 lists):
Text, Text, [List], [List], Text, [Record], [Record], String, [Record]
I wrote a function for getting all columns with the specific type
Cn.GetAllColumnsWithType = (table as table, typ as type) as list =>
let
ColumnNames = Table.ColumnNames(table),
ColumnsOfType = List.Select(ColumnNames, (name) =>
List.AllTrue(List.Transform(Table.Column(table, name), (cell) => Type.Is(Value.Type(cell), typ))))
in
ColumnsOfType;
and a function to expand all lists from a table
Cn.ExpandAllListsFromTable = (table as table, columns as list) =>
let
expandedListTable = List.Accumulate(columns, table, (state, columnToExpand) =>
Table.ExpandListColumn(state, columnToExpand))
in
expandedListTable;
all lists are now records and i want to dynamically expand all these records.
I think i need a foreach to iterate through the list (which are only records cause of Cn.GetAllColumnsWithType),
Table.ExpandRecordColumn each element with it's Table.ColumnNames and add it to the table but i don't know how to do it.
Maybe you can help me out cause it's driving me crazy.
Cheers
Edit:
I recently opened a thread but there i wanted to expand a specific one like
#"SelectItems" = Table.SelectColumns(records,{"$items"}),
#"$items1" = #"SelectItems"{0}[#"$items"],
but now i want to do it all dynamically.
Chris Webb wrote a function to do this for Table-type columns:
http://blog.crossjoin.co.uk/2014/05/21/expanding-all-columns-in-a-table-in-power-query/
I've shared a tweaked version of that that I made for Record-type columns:
https://gist.github.com/Mike-Honey/0a252edf66c3c486b69b
You do not need a function for that. Assuming that the previous step in M was named Removed Other Columns, and that the column to expand is named Data, then make regular Expand step and replace its code of #"Expanded Data" with the following code:
#"Expanded Data"
= Table.ExpandTableColumn(
#"Removed Other Columns",
"Data",
List.Union(List.Transform(#"Removed Other Columns"[Data], each Table.ColumnNames(_)))
)
It expands all columns without referencing their names.
I have a column with mixed types of Number and Text and am trying to separate them into different columns using an if ... then ... else conditional. Is there an ISNUMBER() or ISTEXT equivalent for power query?
Here is how to check type in Excel Powerquery
IsNumber
=Value.Is(Value.FromText([ColumnOfMixedValues]), type number)
IsText
=Value.Is(Value.FromText([ColumnOfMixedValues]), type text)
hope it helps!
That depends a bit on the nature of the data and how it is originally encoded. Power Query is more strongly typed than Excel.
For example:
Source = Table.FromRecords({[A=1],[A="1"],[A="a"]})
Creates a table with three rows. The first row's data type is number. The second and third rows are both text. But the second row's text could be interpreted as a number.
The following is a query that creates two new columns showing if each row is a text or number type. The first column checks the data type. The second column attempts to guess the data type based on the value. The guessing code assumes everything that isn't a number is text.
Example Code
Edit: Borrowing from #AlejandroLopez-Lago-MSFT's comment for the interpreted type.
let
Source = Table.FromRecords({[A=1],[A="1"],[A="a"]}),
#"Added Custom" = Table.AddColumn(Source, "Type", each
let
TypeLookup = (inputType as type) as text =>
Table.FromRecords(
{
[Type=type text, Value="Text"],
[Type=type number, Value="Number"]
}
){[Type=inputType]}[Value]
in
TypeLookup(Value.Type([A]))
),
#"Added Custom 2" = Table.AddColumn(#"Added Custom", "Interpreted Type", each
let
result = try Number.From([A]) otherwise "Text",
resultType = if result = "Text" then "Text" else "Number"
in
resultType
)
in
#"Added Custom 2"
Sample output
Put it in logical test format
Value.Type([Column1]) = type number
Value.Type([Column1]) = type text
The function Value.Type returns a type, so by putting it in equation thus return a true / false.
Also, equivalently,
Value.Type([Column1]) = Date.Type
Value.Type([Column1]) = Text.Type
HTH
ISTEXT() doesn't exist in any language I've worked with - typically any numeric or date value can be converted to text so what would be a false result?
For ISNUMBER, I would solve this without any code by changing the Data Type to a number type e.g. Whole Number. Any rows that don't convert will show Error - you can then apply Replace Errors or Remove Errors to handle them.
Use Duplicate Column first if you don't want to disturb the original column.
I agree with Mike Honey.
I have a SKU code that is a mix of Char and Num.
Normally the last 8 Char are Numbers but in some weird circumstances the SKU is repeated with an additional letter but given the same EAN which causes chaos.
by creating a new temp column using Text.End(SKU, 1) I get only the last character. I then convert that column to Whole Number. Any Error rows are then removed to leave only the rows I need. I then delete the temp Column and am left with the Rows I need in the format I started with.