m

Say I am importing something like the following into PowerBI: Date | Quantity |---------------------|------------------| | 1/1/2018 | 22 | | 1/3/2018 | 30 | | 1/4/2018 | 10 | |---------------------|------------------| Where the external source table is a series of date, value rows with some date values missing. I'd like to execute some DAX/M to add any missing date rows into the data set, where 'Quantity' value is taken from the first date prior. So my resulting dataset would like like this: Date | Quantity |---------------------|------------------| | 1/1/2018 | 22 | | 1/2/2018 | 22 | | 1/3

I have been working on Power BI for a while now and I often get confused when I browse through help topics of it. They often refer to the functions and formulas being used as DAX functions or Power Query, but I am unable to tell the difference between these two. Please guide me. M and DAX are two completely different languages. M is used in Power Query (a.k.a. Get & Transform in Excel 2016) and the query tool for Power BI Desktop. Its functions and syntax are very different from Excel worksheet functions. M is a mashup query language used to query a multitude of data sources. It contains

I have a requirement where I have a table like this - Actual Table with 2 columns Column1 Column2 ColAValue $$ ColBValue $$ New Row ColCValue Above Row ColCValue2 Above Row $$ ColDValue Above Row ColAValue $$ ColBValue $$ ColCValue $$ ColDValue New Row ColAValue $$ ColBValue $$ ColCValue New Row $$ ColDValue Above Row I know by requirement, I would have 4 columns in my dataset leaving column 2 . I need my transformed table as a new table using query editor. This is my expected output, OutTable with 4 columns Basically the column values are identified in order by delimiter $$ and if column2

Looking for a followup to Max Zelensky's solution here . Assuming the original example had a [Date] field, I'm trying to go one more level and add a column that shows the prior [Date] value I've also looked here and here and here . Per Max, I've created the table of tables: AddedCustom = Table.AddColumn(GroupedRows, "Custom", each Table.AddIndexColumn([tmp],"Occurrence", 1,1) type table) Created a second index: SecondIndex= Table.AddColumn(AddedCustom, "Custom.2", each Table.AddIndexColumn([Custom],"Occurance.2", 0,1), type table) I've successfully added a column that references the current

How to select row with max value per category in M of Power BI. Suppose we have table: +----------+-------+------------+ | Category | Value | Date | +----------+-------+------------+ | apples | 1 | 2018-07-01 | | apples | 2 | 2018-07-02 | | apples | 3 | 2018-07-03 | | bananas | 7 | 2018-07-04 | | bananas | 8 | 2018-07-05 | | bananas | 9 | 2018-07-06 | +----------+-------+------------+ Desired results are: +----------+-------+------------+ | Category | Value | Date | +----------+-------+------------+ | apples | 3 | 2018-07-03 | | bananas | 9 | 2018-07-06 | +----------+-------+------------+ Here

Goal : I have a JSON payload with the following format: { "Values": [ { "Details": { "14342": { "2016-06-07T00:00:00": { "Value": 99.62, "Count": 7186 }, "2016-06-08T00:00:00": { "Value": 99.73, "Count": 7492 } }, "14362": { "2016-06-07T00:00:00": { "Value": 97.55, "Count": 1879 }, "2016-06-08T00:00:00": { "Value": 92.68, "Count": 355 } } }, "Key": "query5570027", "Total": 0.0 }, { "Details": { "14342": { "2016-06-07T00:00:00": { "Value": 0.0, "Count": 1018 }, "2016-06-08T00:00:00": { "Value": 0.0, "Count": 1227 } } }, "Key": "query4004194", "Total": 0.0 } ], "LatencyInMinute": 0.0 } I want to