How to erase rows of a table with two of criteria of two columns, combined? For example, I want to erase rows of products that come from France (country column) AND got the word ''wood'' in their name (name column).
Add column, custom column with formula
= if [Country]="France" and [Name]="Wood" then 1 else 0
Then use filter drop down atop that new column to uncheck the selection for [ ] 1 while leaving [x] 0
Potentially you meant that the Name field would contain the letters wood within a larger string of text (like Woodland), so you could use instead
= if [Country]="France" and Text.Contains(Text.Lower([Name]),"wood") then 1 else 0
You can use the Table.SelectRows method:
let
Source = Excel.CurrentWorkbook(){[Name="Table10"]}[Content],
#"Changed Type" = Table.TransformColumnTypes(Source,
{{"Country", type text}, {"Name", type text}, {"Value", type text}}),
filtered = Table.SelectRows(#"Changed Type",
each not ([Country]="France" and Text.Contains([Name],"Wood",Comparer.OrdinalIgnoreCase)))
in
filtered
Related
I have multiple rows with same ID but different products/prices. I would like to get this in Power Query (PowerBI) due to the automation.
Excel formula looks like this:
=SUMPRODUCT(IF($A$2:$A$7=A2;$B$2:$B$7))
And the table is:
A (ID)
B (price)
1
10
1
20
1
5
2
3
2
6
2
1
My goal is to get this:
C (Formula-price)
35
35
35
10
10
10
This step represent Column P & Q (Claims List) in this sheet: https://docs.google.com/spreadsheets/d/1J_nl2_Dgam7JDdyzX-urrO2AEXuCzhQkB1nogTLn2eA/edit#gid=0
In powerquery, right click and group on ID. Add a sum of one of the number columns and then below that, choose All rows as the operation.
After grouping use arrows atop the new column to expand the other columns
Sample, without the expansion
let Source = Excel.CurrentWorkbook(){[Name="Table3"]}[Content],
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", type text}, {"Column2", Int64.Type}, {"Column3", Int64.Type}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"Column1"}, {{"Count", each List.Sum([Column2]), type nullable number}, {"data", each _, type table }})
in #"Grouped Rows"
So I am guessing a little bit but I think you would like to add the sum of B(price) grouped by A(id) to every row in your table. And you would like to use Powerquery for that.
First step would be to import the table into powerquery, then I duplicate the query and group it by ID. The third step is to merge these table by ID
Step 1
I took the following example data
Goto Data/From Table/Range and you should get
Step2 Right click on the query above and select Duplicate
I named the result sumTbl , grouped it by ID and with price as the column to sum
PS In the above step you can change to Advanced and add a second aggreagtion level and then expand. No need to merge!
The result looks like
Step 3 Now you merge both tables. I merged them as a new one
The result is
Now you only need to expand the column sumTbl
The result will be
I have a table with multiple columns. One of these is 'EAN'. In this column there are supposed to be unique values. Unfortunatly this is not the case. Now I want to find all the values that appear more then once.
I tried the FILTER, EARLIER, COUNTROWS. Nothing gives the output I'm looking for.
Example:
Art A - 111
Art B - 123
Art C - 222
Art D - 222
Art E - 456
What I expect as output is just a table, column or chart where '222' appears.
Create your visual using the EAN field.
Then create a measure with the formula:
= COUNTROWS('Table')
and drag this measure into the filters pane, setting the condition to 'greater than 1'.
Here's one way just using Power Query and M Code:
let
//read in and type the data
Source = Excel.CurrentWorkbook(){[Name="Table8"]}[Content],
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Art", type text}, {"Num", Int64.Type}}),
//selectd only those rows where there are at least two identical nums
filter = Table.SelectRows(#"Changed Type", each List.Count(List.Select(#"Changed Type"[Num], (li)=>li=[Num]))>1),
//sort the output to keep the duplicates together
#"Sorted Rows" = Table.Sort(filter,{{"Num", Order.Ascending}})
in
#"Sorted Rows"
Please find below links to the Fact table and the overview of all tables. I would like to create a DAX measure, or new column in the Fact table ("transactions"), where:
The currency is NOT equal to EUR (e.g. "BTC"),
Giving the value equal to a opposite value of "amount", as given in the row with EUR as currency (e.g. +5. Positive for negative and vice versa),
Where the date and time of the two rows (EUR and non-EUR) have the same values (e.g. 03/11/2021 and 12:28:06)
The "type" = "trade",
In all other cases, I think it would be best to give a value of 0.
In my Fact table screenshot, I manually added the EUR_amt column in Excel to show what I would like to create
I think it's also possible to add the column, then group by time and date, such that the rows with EUR as currency with EUR_amt being 0, would be removed. All using power query. That would be even better.
(The "Currencies" table just uses the distinct values of the "currency" column in the "transactions" table, via PowerQuery. Not relevant for this question I think)
Many thanks in advance!
-YK
Fact table "transactions"
Overview of tables
Calculated Column:
EUR_amt =
IF (
OR ( transactions[type] <> "trade", transactions[currency] = "EUR" ),
0,
- LOOKUPVALUE (
transactions[amount],
transactions[Date], transactions[Date],
transactions[Time], transactions[Time],
transactions[currency], "EUR",
0
)
)
Here's one way to do this using just Power Query and the Advanced Editor
Group by data and time
Generate a custom column for each subtable based on your rules
Expand the subtables, remove those with "0", and re-order the columns
let
Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
#"Changed Type" = Table.TransformColumnTypes(Source,{{"type", type text}, {"currency", type text}, {"Date", type date}, {"Time", type time}, {"amount", type number}}),
//Group by Date and Time
#"Grouped Rows" = Table.Group(#"Changed Type", {"Date", "Time"}, {
//Add the Eur amt column to the grouped table
{"EUR_amt", (t)=>let
//determine relevant euro amt for each sub table
eur= t[amount]{List.PositionOf(t[currency],"EUR")},
//add the column to each subtable basaed on conditions
addCol = Table.AddColumn(t, "EUR_amt",
each if [type]= "trade" and [currency]<>"EUR" then -eur else 0)
in
addCol}}),
//Expand the new table
//Filter out the 0's
//reorder the columns
#"Expanded EUR_amt" = Table.ExpandTableColumn(#"Grouped Rows", "EUR_amt", {"type", "currency", "amount", "EUR_amt"}, {"type", "currency", "amount", "EUR_amt"}),
#"Filtered Rows" = Table.SelectRows(#"Expanded EUR_amt", each ([EUR_amt] <> 0)),
#"Reordered Columns" = Table.ReorderColumns(#"Filtered Rows",{"type", "currency", "Date", "Time", "amount", "EUR_amt"})
in
#"Reordered Columns"
I have a large table of data (the below image () is a small subsection of the larger dataset) which I need to essentially add an index or rank column that repeats itself (1,1,2,2,3,3,4,4 etc. ). The reason for this is each two rows of data need to be associated with each other so I can properly pivot the attribute and value columns.
EDIT: Picture display
Bring the data into PowerQuery with data .. from table/range...
Add column ... index column ....
click select the index column
transform .. standard .. integer divide ... 2
Sample code if source data is in Table1
let Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
#"Changed Type" = Table.TransformColumnTypes(Source,{{"a", type text}}),
#"Added Index" = Table.AddIndexColumn(#"Changed Type", "Index", 0, 1),
#"Integer-Divided Column" = Table.TransformColumns(#"Added Index", {{"Index", each Number.IntegerDivide(_, 2), Int64.Type}})
in #"Integer-Divided Column"
I'm working with the dataset where the gender of all participants is described in one single column. I'd like to create two new columns for both genders and fill it up with the number of males / females involved.
The syntax used in a column looks like this:
0::Male||1::Male||3::Male||4::Female
(so we have 4 participants, the value in col "Male" would be 3, in col "Female" 1)
Would you be so kind and help me to extract this information? ♥
I'm sorry to ask you as I know I'd be able to eventually find the solution by myself, but I'm really under pressure right now. :/
This is the screenshot of the column I wanna extract values from.
Thanks a lot to everyone who tries to help! :)
In powerquery, you'd need two splits (one on :: and one on ||, and then a pivot to get data into right format)
Select your data, including header column of participant_gender and load your table into powerquery with Data ... From Table/Range...[x] my data has headers. I assume below that this is the first table of your file, and is named Table1
Add Column..Index Column...
right click participant_gender column ... split column ... by delimiter ... custom ... || [x] each occurrence of the delimiter , Advanced options [x] rows
right click participant_gender column ... split column ... by delimiter ... custom ... :: [x] each occurrence of the delimiter (ignore advanced options)
Click to select both participant_gender.2 and Index columns .. right click group by ... group by (participant_gender.2) (index) new column name (count) operation (sum) column (participant_gender.1)
Click to select participant_Gender.2 column ... Transform..pivot column...Values column (Count)
File...Close and Load to ... table
Code produced, which you can paste into Home .. Advanced Editor... if you wish
let Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
#"Changed Type" = Table.TransformColumnTypes(Source,{{"participant_gender", type text}}),
#"Added Index" = Table.AddIndexColumn(#"Changed Type", "Index", 0, 1),
#"Split Column by Delimiter" = Table.ExpandListColumn(Table.TransformColumns(#"Added Index", {{"participant_gender", Splitter.SplitTextByDelimiter("||", QuoteStyle.Csv), let itemType = (type nullable text) meta [Serialized.Text = true] in type {itemType}}}), "participant_gender"),
#"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"participant_gender", type text}}),
#"Split Column by Delimiter1" = Table.SplitColumn(#"Changed Type1", "participant_gender", Splitter.SplitTextByDelimiter("::", QuoteStyle.Csv), {"participant_gender.1", "participant_gender.2"}),
#"Changed Type2" = Table.TransformColumnTypes(#"Split Column by Delimiter1",{{"participant_gender.1", Int64.Type}, {"participant_gender.2", type text}}),
#"Grouped Rows" = Table.Group(#"Changed Type2", {"participant_gender.2", "Index"}, {{"Count", each List.Sum([participant_gender.1]), type number}}),
#"Pivoted Column" = Table.Pivot(#"Grouped Rows", List.Distinct(#"Grouped Rows"[participant_gender.2]), "participant_gender.2", "Count", List.Sum)
in #"Pivoted Column"