Convert start and end dates to continuous range

[Syndicate_Admin]

I have the following table:

What is the best way to turn the Start and End columns into a date continuum so that you can easily graph the consumption and amounts per day?

Greetings and thanks in advance.

[v-yanjiang-msft · Accepted solution]

Hi @Syndicate_Admin ,

According to your description, I create a sample.

Here's my solution.

1.Create a Date table, don't make relationship between the two tables.

Date = CALENDARAUTO()

2.Create two measures.

Consumption Measure =
MAXX (
    FILTER (
        'Table',
        MAX ( 'Date'[Date] ) >= 'Table'[Start]
            && MAX ( 'Date'[Date] ) <= 'Table'[End]
    ),
    'Table'[Consumption]
)

Importe Measure =
MAXX (
    FILTER (
        'Table',
        MAX ( 'Date'[Date] ) >= 'Table'[Start]
            && MAX ( 'Date'[Date] ) <= 'Table'[End]
    ),
    'Table'[Importe]
)

Put Date from Date table in X-axis, Concept in Legend and measure in Y-axis, get the result.

I attach my sample below for your reference.

Best Regards,
Community Support Team _ kalyj

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

[Syndicate_Admin]

Thank you very much for your answer, amazing the level of detail. I'm going to try to implement it and I tell you.

[v-yanjiang-msft]

Hi @Syndicate_Admin ,

Is your problem solved? If so,would you mind accept the helpful replies as solutions? Then we are able to close the thread. More people who have the same requirment will find the solution quickly and benefit here, thank you!

Best Regards,
Community Support Team _ kalyj

[danextian]

Hi @Syndicate_Admin ,

Power query  can create date rows from your start and end date columns but how are those numbers supposed to be distributed? Are they going to be divided by the number of days from start to end so you'll get the daily amount?

[Syndicate_Admin]

Yes, basically it is what I intend, to obtain a daily ratio, which can then be grouped to higher levels (monthly, annual), because it is impossible to know if one day there was more or less consumption. I simply know that for a certain period (the days between Start and End) there was X consumption that meant Y expense.

[danextian]

This is sample M Script that generates dates using Start and End Dates columns.

let
  Source = Table.FromRows(
    Json.Document(
      Binary.Decompress(
        Binary.FromText(
          "dZBBDoAgDAT/wtnEdhHavsX4/29IBJM14I2SSTu755m07qI7BJq21F6Cd6iWrq0BwYAzgA5kAuA0lOgAGGDa8wNA6U+FTtjCITNdSgcOlsy0wccG+5O0Om9AWZzgosBC7nMKOcghtG9g4EM7FgAbu8wpPj34qNr/JKssmhSOOSQ5OjizxaIHHqL1cN0=",
          BinaryEncoding.Base64
        ),
        Compression.Deflate
      )
    ),
    let
      _t = ((type nullable text) meta [Serialized.Text = true])
    in
      type table [Start = _t, End = _t, Value = _t]
  ),
  #"Changed Type" = Table.TransformColumnTypes(
    Source,
    {{"Start", type date}, {"End", type date}, {"Value", Int64.Type}}
  ),
  #"Added Custom" = Table.AddColumn(
    #"Changed Type",
    "Number of Days",
    each Duration.Days([End] - [Start]) + 1,
    Int64.Type
  ),
  #"Added Custom1" = Table.AddColumn(
    #"Added Custom",
    "Dates",
    each List.Dates([Start], [Number of Days], #duration(1, 0, 0, 0)),
    type list
  ),
  #"Expanded Dates" = Table.ExpandListColumn(#"Added Custom1", "Dates"),
  #"Changed Type1" = Table.TransformColumnTypes(#"Expanded Dates", {{"Dates", type date}}),
  #"Added Custom2" = Table.AddColumn(
    #"Changed Type1",
    "New Value",
    each [Value] / [Number of Days],
    type number
  ),
  #"Removed Other Columns" = Table.SelectColumns(
    #"Added Custom2",
    {"Start", "End", "Dates", "New Value"}
  )
in
  #"Removed Other Columns"

[Syndicate_Admin]

I understand that the only way to process this is in the consultation phase, with Power Query; No chance with DAX?