I have a table with number like below ,
Phone Number
123, 456, 890
123453
902, 423
so i would like to do the pivot table with can show all the phone number (delimiter is ",") and count how many time it appear in the list ? can someone assist for that?
I just have a initial step with the code below
let
Source = Excel.CurrentWorkbook(){[Name="Phone_Number"]}[Content],
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Phone Number", type text}})
in
#"Changed Type"
updated: question solved.
In powerquery,
right click the column,
home .. split column by delimiter ... delimiter:comma, Advanced Options:rows
then right click column and group by...
use default options and hit ok
let Source = Excel.CurrentWorkbook(){[Name="Phone_Number"]}[Content],
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Phone Number", type text}}),
#"Split Column by Delimiter" = Table.ExpandListColumn(Table.TransformColumns(Table.TransformColumnTypes(#"Changed Type", {{"Phone Number", type text}}, "en-US"), {{"Phone Number", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), let itemType = (type nullable text) meta [Serialized.Text = true] in type {itemType}}}), "Phone Number"),
#"Grouped Rows" = Table.Group(#"Split Column by Delimiter", {"Phone Number"}, {{"Count", each Table.RowCount(_), Int64.Type}})
in #"Grouped Rows"
Related
I tried to split using custom delimiter per column. I cannot figure out how can I split both column at once because every date in a row is assigned for every user id. I need to split it in a row.
You can try
let Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
RemoveExtraCharacter = Table.TransformColumns(Source,{{"dates", each Text.Remove(_,{"]","[","}","{",""""}), type text}, {"user_id", each Text.Remove(_,{"]","[","}","{",""""}), type text}}),
#"Transposed Table" = Table.Transpose(RemoveExtraCharacter),
#"Merged Columns" = Table.CombineColumns(#"Transposed Table", Table.ColumnNames(#"Transposed Table"), Combiner.CombineTextByDelimiter(",", QuoteStyle.None),"Merged"),
#"Split Column by Delimiter" = Table.SplitColumn(#"Merged Columns", "Merged", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv)),
#"Transposed Table1" = Table.Transpose(#"Split Column by Delimiter"),
#"Changed Type" = Table.TransformColumnTypes(#"Transposed Table1",{{"Column1", type date}})
in #"Changed Type"
I have sample data like below and I am trying to use PowerQuery to transpose it into different shape.
Here is my data:
Identifier Id
Account Type 1
Account Type 2
Account Type 3
Here is what I need:
Identifier Column.1 Column.2 Column.3
Account Type 1 2 3
I tried all combinations of Transpose + Unpivot but nothing worked.
You can Group by Identifier; then do a custom Text Aggregation which you can split into columns:
let
Source = Excel.CurrentWorkbook(){[Name="Table25"]}[Content],
//type the ID column as text for later purposes
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Identifier", type text}, {"Id", type text}}),
//group by Identifier, then custom Text aggregation with delimiter
#"Grouped Rows" = Table.Group(#"Changed Type", {"Identifier"}, {
{"Id",each Text.Combine([Id],";")}}),
//split the column by the delimiter, and set the data types
#"Split Column by Delimiter" = Table.SplitColumn(#"Grouped Rows", "Id", Splitter.SplitTextByDelimiter(";", QuoteStyle.Csv), {"Id.1", "Id.2", "Id.3"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Id.1", Int64.Type}, {"Id.2", Int64.Type}, {"Id.3", Int64.Type}})
in
#"Changed Type1"
How about this?
Method1: If there will only be one identifier type, then Add column... index column .... Then click select the index column and use transform...pivot column... and select ID as the values column, advanced options Don't Aggregate
let Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
#"Added Index" = Table.AddIndexColumn(Source, "Index", 0, 1),
#"Pivoted Column" = Table.Pivot(Table.TransformColumnTypes(#"Added Index", {{"Index", type text}}, "en-US"), List.Distinct(Table.TransformColumnTypes(#"Added Index", {{"Index", type text}}, "en-US")[Index]), "Index", "Id")
in #"Pivoted Column"
Method2: If you plan to have different identifiers, then you need something a bit more complex. This adds the index within each group. Then you can pivot
let Source = Excel.CurrentWorkbook(){[Name="Table3"]}[Content],
#"Grouped Rows" = Table.Group(Source, {"Identifier"}, {{"data", each Table.AddIndexColumn(_, "Index", 1, 1), type table}}),
#"Expanded data" = Table.ExpandTableColumn(#"Grouped Rows", "data", {"Id", "Index"}, {"Id", "Index"}),
#"Pivoted Column" = Table.Pivot(Table.TransformColumnTypes(#"Expanded data", {{"Index", type text}}, "en-US"), List.Distinct(Table.TransformColumnTypes(#"Expanded data", {{"Index", type text}}, "en-US")[Index]), "Index", "Id", List.Sum)
in #"Pivoted Column"
I have a column that contains the Total Stock of an item. I'd like to expand this out into 1 row per item (i.e. the item has 6 in stock and therefore appears as 6 line items).
Is this possible with power query?
The M-Code below will expand this input table
to this
let
Source = Excel.CurrentWorkbook(){[Name="tblData"]}[Content],
#"Changed Type" = Table.TransformColumnTypes(Source,{{"ColA", type text}, {"Stock", Int64.Type}}),
#"Added Custom" = Table.AddColumn(#"Changed Type", "Col", each List.Repeat({[ColA]},[Stock])),
#"Expanded Col" = Table.ExpandListColumn(#"Added Custom", "Col")
in
#"Expanded Col"
I'm looking for some Power Query help. I have a huge set of sales data for 40k products over one year. For each product on each day I need to add a 28 day sales column.
I essentially want to do a sumifs like the below but in M.
=SUMIFS([SALES],[Product Code],[This Product Code],[Date],<=[This Date],[Date],>=[This Date]-28))
Try this then, it should work but would likely do so at a crawl
let Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Sales", Int64.Type}, {"Product Code", type text}, {"Date", type date}}),
TotalAmountAdded = Table.AddColumn(Source, "Total Amount", (i) => List.Sum(Table.SelectRows(Source, each ([Product Code] = i[Product Code] and [Date]<=i[Date] and [Date]>=Date.AddDays(i[Date],-28)))[Sales]), type number )
in TotalAmountAdded
Add a custom column with date logic (based on your sample sumif formula), filter the new column to get the relevant rows, then group by product code and sum Sales. Assuming source data is in Table1 with three columns (Sales,Product Code, Date) the code would be
let Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Sales", Int64.Type}, {"Product Code", type text}, {"Date", type date}}),
#"Added Custom" = Table.AddColumn(#"Changed Type", "AddMe", each if [Date]<=DateTime.Date(DateTime.LocalNow()) and [Date]>=Date.AddDays(DateTime.Date(DateTime.LocalNow()),-28) then 1 else 0),
#"Filtered Rows" = Table.SelectRows(#"Added Custom", each ([AddMe] = 1)),
#"Grouped Rows" = Table.Group(#"Filtered Rows", {"Product Code"}, {{"ProductSales", each List.Sum([Sales]), type number}})
in #"Grouped Rows"
I created a table called Table3 with two columns named URL which is empty and Value which contains a list of websites. The following query retrieves data from the websites stored in Table 3.
let
Parameter = Excel.CurrentWorkbook(){[Name="Table3"]}[Content],
URL= Parameter{1}[Value],
Source = Web.Page(Web.Contents(URL)),
Data0 = Source{0}[Data],
#"Changed Type" = Table.TransformColumnTypes(Data0,{{"Date", type date}, {"Open", type number}, {"High", type number}, {"Low", type number}, {"Close", type number}, {"Volume", type number}, {"Market Cap", type number}}),
#"Removed Columns" = Table.RemoveColumns(#"Changed Type",{"Market Cap", "Open", "High", "Low"}),
#"Sorted Rows" = Table.Sort(#"Removed Columns",{{"Date", Order.Ascending}})
in
#"Sorted Rows"
The second line runs the query for the first website in the Value column.
Is it possible to introduce a loop that would run the query for all the websites?
If not is it possible to run the query for all the websites in sequence by manually pasting the above code and changing the number in the brackets for each website?
If it is possible I assume it would load the contents in the same sheet, is there any way to load the content in different sheets for each iteration?
Thanks for reading my question.
Loops aren't really a thing in Power Query, but you can still do what you're after. I don't know what URLs you're pulling from, so let me give you an example using publicly available ones.
Let's suppose my Table3 is the following:
URL
--------
https://finance.yahoo.com/quote/AAPL?p=AAPL
https://finance.yahoo.com/quote/AAPL?p=GOOG
I can load this into the query editor and create a custom column that reads the webpage for each URL.
= Web.Page(Web.Contents([URL])){0}[Data]
(The table I want is the first one (hence the {0} row index) and is in the [Data] column.)
Now I have a table like this where the bottom table is a preview of the cell I have selected.
Click the arrows icon to expand the tables.
From here you can filter Column1 to pick which values you are interested in (let's say Ask, Bid, Open, and Volume) and then pivot that column (Transform > Pivot Column). Choose Column2 as the values column and select "Don't Aggregate" under Advanced options.
The result should be the table you see above the pivot dialogue box.
Here's the full M code for the query that shows up in the Advanced Editor
let
Source = Excel.CurrentWorkbook(){[Name="Table3"]}[Content],
#"Changed Type" = Table.TransformColumnTypes(Source,{{"URL", type text}}),
#"Added Custom" = Table.AddColumn(#"Changed Type", "Custom", each Web.Page(Web.Contents([URL])){0}[Data]),
#"Expanded Custom" = Table.ExpandTableColumn(#"Added Custom", "Custom", {"Column1", "Column2"}, {"Column1", "Column2"}),
#"Filtered Rows" = Table.SelectRows(#"Expanded Custom", each ([Column1] = "Ask" or [Column1] = "Bid" or [Column1] = "Open" or [Column1] = "Volume")),
#"Pivoted Column" = Table.Pivot(#"Filtered Rows", List.Distinct(#"Filtered Rows"[Column1]), "Column1", "Column2")
in
#"Pivoted Column"