This may or may not be compliated but I am new to power query and am still learning. I have a set of data that is a combination of 12 individual equiptment data columns, but each equiptment data has its own date/time column. The times do not always match and I cant just delete the other date/time columns. Also there is sometimes missing data or date/time values (It's one or the other missinbg not both). So I can't just append the tables together or else the date/time and correlating data may be wrong. How can I combine the columns into one and add another column that has the equipment line number. This may not be the best/optimized way to do it and am open to suggestions.
I tried searching and could not find something I could use. I found this forum/question that was similar except my data is the same for each date/time data combo.
I also only need 2 data points for every day at ~8AM and ~8PM. I am not sure if I should make a seperate post for this issue but thought I would add it here.
This is a snippet of the data I am working with. I am using a filter right now to reduce the data points per day.
HI @NoahGrayhek ,
I updated the code a bit. The key functions are Unpivot (All the Date Columns), GroupBy, Demote Headers and Transpose. I did remove duplicate rows (You can delete this step if it doesn't suit your situation. I did it because I found a lot of repetitive data which should be grouped IMO),
Code:
let
Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
//Replace missing data to 1/1/1900
#"Replaced Value" = Table.ReplaceValue(
Source,
null,
#datetime(1900, 1, 1, 0, 0, 0),
Replacer.ReplaceValue,
List.Select(
Table.ColumnNames(Source),
each
Text.Contains(_,"Time")
)
),
//
#"Unpivoted Columns" = Table.UnpivotOtherColumns(
#"Replaced Value",
List.Select(
Table.ColumnNames(#"Replaced Value"),
each
Text.Contains(_,"Value")
),
"TimeHdrs",
"Date"
),
//Duplicate the date/time column
#"Duplicated Column" = Table.DuplicateColumn(
#"Unpivoted Columns",
"Date",
"Time"
),
//Changed Type - Date and Time
#"Changed Type" = Table.TransformColumnTypes(
#"Duplicated Column",
{
{"Date", type date},
{"Time", type time}
}
),
//Applied GroupBy - All Row to group Date and Time
#"Grouped Rows" = Table.Group(
#"Changed Type",
{"Date", "Time"},
{
{"Table", each _, type table}
}
),
//Expand all value columns (i.e. Part 1 Value, Part 2 Value ....
#"Expanded Count" = Table.ExpandTableColumn(
#"Grouped Rows",
"Table",
List.Select(
Table.ColumnNames(#"Replaced Value"),
each
Text.Contains(_,"Value")
)
),
//Removed replicate rows (This step can be removed)
#"Removed Duplicates" = Table.Distinct(#"Expanded Count"),
//Demote Headers before transposing to the desired view
#"Demoted Headers" = Table.DemoteHeaders(#"Removed Duplicates"),
//Transpose the table to the desired format
#"Transposed Table" = Table.Transpose(#"Demoted Headers"),
//Added Equipment# (This code needs to be updated with dynamic code. e.g. Equipment x. I need to understand how you pull the data, then I can update it.)
AddedEquipmentx = #table({"Column1"}, {{"Equipment 1:"}}) & #"Transposed Table"
in
AddedEquipmentx
Regards
KT
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