I have some users with different game_id.
for each user, I want to find differences between the 2 smallest different dates and write the result in another column.
in this example,
for user_id = 1, it should be 4 (difference between 13/2/2001 and 17/2/2001)
for user_id = 2, we don't have any result because we have just 1 date,
for user_id = 3, it should be 3
and for user_id = 4, it should be 3. (difference between 5/10/2003 and 8/10/2003)
How can I calculate it in Power BI?
This does the trick with M code if you feel like using
It groups on user_id, gets the 2 lowest dates from the unique values, and calculates the difference. It then merges back on original data into a new column
let Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
#"Changed Type" = Table.TransformColumnTypes(Source,{{"account_charging_dates", type date}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"user_id"}, {{"Diff", each try Number.From( List.MinN(List.Distinct([account_charging_dates]),2){1} - List.MinN(List.Distinct([account_charging_dates]),2){0}) otherwise null}}),
#"Merged Queries" = Table.NestedJoin(#"Changed Type",{"user_id"},#"Grouped Rows",{"user_id"},"Table1",JoinKind.LeftOuter),
#"Expanded Table1" = Table.ExpandTableColumn(#"Merged Queries", "Table1", {"Diff"}, {"Diff"})
in #"Expanded Table1"
Related
First of all, sorry for my broken English. If something might feel offence, that is my fault. Sorry (and Thanks) in advance.
As title said, I want to get a way how to multiply many rows with one single row in one step: regardless how many columns and whatever column name is, & ignore blank cells then shift up filled results in POWERQUERY.
want to get a final table in yellow, with merging Ratio table and Total table.
want to know how to multiply Ratio table (many columns) and Total table (a single column) in one step.
From Grey table, want to get a way how to remove null value and shift up filled results.
prefer "Transform" than "Add column".
if you need an example file, can get it via this link : https://www.dropbox.com/s/fs2cymeak1f2w57/powerquery%20practice.xlsx?dl=0
Im 99% certain Im doing homework for someone, but anyway
Unpivot Ratio. Merge in Total, multiply with custom column. Group on Attribute and add index. Pivot
let Source = Ratio,
// I am too lazy to do my own homework and should be ashamed
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(Source, {"M"}, "Attribute", "Value"),
#"Filtered Rows1" = Table.SelectRows(#"Unpivoted Other Columns", each ([Value] <> 0)),
#"Merged Queries" = Table.NestedJoin(#"Filtered Rows1", {"M"}, Total, {"Month"}, "Total", JoinKind.LeftOuter),
#"Expanded Total" = Table.ExpandTableColumn(#"Merged Queries", "Total", {"Total"}, {"Total"}),
#"Added Custom" = Table.AddColumn(#"Expanded Total", "Custom", each if [Total]=null then 0 else [Total]*[Value]),
#"Removed Columns" = Table.RemoveColumns(#"Added Custom",{"Value", "Total","M"}),
#"Grouped Rows" = Table.Group(#"Removed Columns", {"Attribute"}, {{"data", each Table.AddIndexColumn(_, "Month", 1, 1, Int64.Type), type table }}),
#"Expanded data" = Table.ExpandTableColumn(#"Grouped Rows", "data", { "Custom", "Month"}, { "Custom", "Month"}),
#"Pivoted Column" = Table.Pivot(#"Expanded data", List.Distinct(#"Expanded data"[Attribute]), "Attribute", "Custom")
in #"Pivoted Column"
thank you for answering our questions. Look at the picture below. Transfer the rate value appropriately from the first to the second range.
If I understand you correctly, the code below should do what you require.
Read the code comments and explore the Applied Steps to better understand the algorithm.
let
//Read in the lookup table
Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
lookupTable = Table.TransformColumnTypes(Source,{
{"Date", Int64.Type},
{"P Code",Int64.Type},
{"SRC", Int64.Type},
{"Rate", Int64.Type}
}),
//read in data table
Source2 = Excel.CurrentWorkbook(){[Name="Table2"]}[Content],
typeIt2 = Table.TransformColumnTypes(Source2,{
{"Date", Int64.Type},
{"P.Code", Int64.Type},
{"Src", Int64.Type}
}),
//Join the two tables based on PCode and Src
join = Table.NestedJoin(typeIt2,{"P.Code","Src"},lookupTable,{"P Code","SRC"},"Joined", JoinKind.LeftOuter),
//for each joined subtable
// Sort descending by date
// Select only those rows where the date in table 2 is >= the corresponding date from table 1
// Then extract the first row Rate value (as that will be the closest to the date in table 2)
#"Added Custom" = Table.AddColumn(join, "Rate", each Table.SelectRows(Table.Sort([Joined],
{"Date",Order.Descending}),(t)=> t[Date] <= [Date])[Rate]{0}, Int64.Type),
//Remove unneeded join table column
#"Removed Columns" = Table.RemoveColumns(#"Added Custom",{"Joined"})
in
#"Removed Columns"
Lookup Table
Results
I've spent hours and hours on this, but no luck. Can anyone help?
Issue: I have two tables; one source data and one lookup data. I need to count the number of times the lookup data appears in the corresponding column on the main table. The column names could be anything, but they always have a counterpart in the other table.
In the attached example, There are four columns (Month/Shape/Animal/Mineral) in the first table, and the same columns in the lookup table. The lookup table contains items that do not belong in the respective columns (i.e. "Triangle" is not a month, and "Kitten" is not a shape).
I'm trying to use Power Query to count the number of invalid entries in each column. I'm thinking that "Group By" is the way to go, but I'm still stuck....
Input Data
-Month- -Shape- -Animal- -Mineral-
January Square Puppy Gold
February Circle Kitten Quartz
Square Triangle October Amber
Circle Kitten October Lead
Square Puppy Horse Gold
Circle Puppy Goldfish Silver
May Hexagon Pig Gold
Invalid Values
-Month- -Shape- -Animal- -Mineral-
Square Kitten July Kitten
Circle Puppy October Puppy
Triangle Pig January Pig
Trying to end-up with this table:
Field Invalid Entry Count
-Month- 4
-Shape- 3
-Animal- 2
-Mineral- 0
I have also attached a screenshot and sample workbook. Any help/guidance/assistance would be ~greatly~ appreciated.
https://drive.google.com/file/d/1VpgwySRra9-gStlmtjJum3w2JySPyrt5/view?usp=sharing
Thank you!
Load invalid Value, add index, click the index and unpivot other columns. Close and Load. Lets call this Table2
Load Input Data, add index, click the index and unpivot other columns. Merge in Table2 by matching Attribute and Value with left outer join. Expand the resulting column to extract index column from Table2. Filter out the nulls. Group and Count on Attribute.
Table2 = Invalid Values code
let Source = Excel.CurrentWorkbook(){[Name="Table2"]}[Content],
#"Added Index" = Table.AddIndexColumn(Source, "Index", 0, 1),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Added Index", {"Index"}, "Attribute", "Value")
in #"Unpivoted Other Columns"
Table 1 = Input Data code
let Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
#"Added Index" = Table.AddIndexColumn(Source, "Index", 0, 1),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Added Index", {"Index"}, "Attribute", "Value"),
#"Merged Queries" = Table.NestedJoin(#"Unpivoted Other Columns",{"Value", "Attribute"},Table2,{"Value", "Attribute"},"Table2",JoinKind.LeftOuter),
#"Expanded Table2" = Table.ExpandTableColumn(#"Merged Queries", "Table2", {"Index"}, {"Index.1"}),
#"Filtered Rows" = Table.SelectRows(#"Expanded Table2", each ([Index.1] <> null)),
#"Grouped Rows" = Table.Group(#"Filtered Rows", {"Attribute"}, {{"Invalid Entry Count", each Table.RowCount(Table.Distinct(_)), type number}})
in #"Grouped Rows"
Let's say I have a table like this:
Var1 Group
1 A
2 B
3 A
4 B
5 A
I wish to have a table like this:
A B
1 2
3 4
5
How can I achieve this specifically using Power Query in Excel?
Try below
Right-click Group column and do Group By ...
Use the default option then change code in the formula box to resemble the below, especially after the each
= Table.Group(Source, {"Group"}, {{"xx", each Table.AddIndexColumn(_, "Index", 1, 1), type table}})
click on arrows atop the new column and [x] expand Var1 and Index
Click on Group column, Transform ... pivot columns .. and choose Var1 as Values Column
Erase extra index column
Full sample code:
let Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
#"Grouped Rows" = Table.Group(Source, {"Group"}, {{"xx", each Table.AddIndexColumn(_, "Index", 1, 1), type table}}),
#"Expanded xx" = Table.ExpandTableColumn(#"Grouped Rows", "xx", {"Var1", "Index2"}, {"Var1", "Index"}),
#"Pivoted Column" = Table.Pivot(#"Expanded xx", List.Distinct(#"Expanded xx"[Group]), "Group", "Var1", List.Sum),
#"Removed Columns" = Table.RemoveColumns(#"Pivoted Column",{"Index2"})
in #"Removed Columns"
I trying to get the MAX date from a table onto a different date with power query. At the moment I'm stuck and all I get is a table based on a condition. Not sure if this is clear, so I'll explain with the code. This is my code at the moment:
let
Source = Table.NestedJoin(Table.NestedJoin(SKU,{"SKU"},q_UltColh_NEW,{"SKU"},"qUltColh_NEW",JoinKind.LeftOuter),{"SKU"},r_STK,{"SKU"},"Rep_Stk", JoinKind.LeftOuter),
.
.
.
#"Expanded Origem" = ...
#"Expanded Origem" = Table.ExpandTableColumn(#"Merged Queries", "Origem", {"Desc_ORI", "Parent_ORI"}, {"Origem.Desc_ORI", "Origem.Parent_ORI"}),
#"Added Last_Rec" = Table.AddColumn(#"Expanded Origem", "Last_Rec", each
let SKU = [SKU]
in Table.SelectRows(r_GOODSREC,each [SKU]=SKU)
)
in
#"Added Last_Rec"
I have two tables:
SKU Desc
46_24_ ABC
103_5_ DEF
doc_DATE RowNo SKU Cod_ART QTT
10/01/2017 1 46_24_ 46.24 50
14/01/2017 1 46_24_ 46.24 100
14/01/2017 1 103_5_ 103.5 50
16/01/2017 1 103_5_ 103.5 100
And I want to get:
SKU Desc Last_Entry Qtt
46_24_ ABC 14/01/2017 50
103_5_ DEF 16/01/2017 100
my code is returning a table with various columns:
SKU Desc Last_Entry
46_24_ ABC Table
103_5_ DEF Table
I believe once I get the max value I can just exapand the table, unless you tell me that is a bad ideia.
Thank you very much,
I got this with the code below:
Notes:
1. My date format is month/day/year whereas yours was day/month/year.
2. Also, in your question, you show an expected QTT of 50 for SKU 46_24_; but your source table has 100 as the QTT for the latest date of SKU 46_24_, which is why my table has 100 instead of 50.
I used the same two starting tables as you. I called them Table1 and Table2. (Table1 is the one with just the SKU and Desc columns.)
Then I merged those two tables into a new table called Merge1, using a left-outer join.
I guess the key points are:
I used "Group By" (i.e., Table.Group) to group by each SKU and get its max date value in a column I called Last_Entry, and I included all row data in a column I called AllData. Here's the Group By pop-up window:
Then, after the Group By, I expanded the embedded table in AllData and added a new column to flag and filter out the rows where the doc_Date was not equal to Last_Entry.
let
Source = Table.NestedJoin(Table1,{"SKU"},Table2,{"SKU"},"Table2",JoinKind.LeftOuter),
#"Expanded Table2" = Table.ExpandTableColumn(Source, "Table2", {"doc_Date", "RowNo", "SKU", "Cod_ART", "QTT"}, {"doc_Date", "RowNo", "SKU.1", "Cod_ART", "QTT"}),
#"Changed Type" = Table.TransformColumnTypes(#"Expanded Table2",{{"doc_Date", type date}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"SKU"}, {{"Last_Entry", each List.Max([doc_Date]), type datetime}, {"AllData", each _, type table}}),
#"Expanded AllData1" = Table.ExpandTableColumn(#"Grouped Rows", "AllData", {"Desc", "doc_Date", "QTT"}, {"Desc", "doc_Date", "QTT"}),
#"Added Custom" = Table.AddColumn(#"Expanded AllData1", "Custom", each if[Last_Entry]=[doc_Date] then "Last_Entry" else "NotLast_Entry"),
#"Filtered Rows" = Table.SelectRows(#"Added Custom", each ([Custom] = "Last_Entry")),
#"Removed Columns" = Table.RemoveColumns(#"Filtered Rows",{"Custom", "doc_Date"}),
#"Reordered Columns" = Table.ReorderColumns(#"Removed Columns",{"SKU", "Desc", "Last_Entry", "QTT"})
in
#"Reordered Columns"