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Hi all, trying to convert a column to rows so that the data can then be transposed as its own column.
Below is an example set of the data, basically, I want the date/time column to be added as their own rows.
| Cook Value 1 | 92.37897 | 9/01/2023 11:00 AM |
| Cook Value 2 | 65.54156 | 9/01/2023 11:58 AM |
| Cooling Value (52°C) | 52.38693 | 9/01/2023 12:21 PM |
| Cooling Value (12°C) | 11.96154 | 9/01/2023 3:00 PM |
| Max Temp / End Of Cook | 93.80781 | 9/01/2023 11:02 AM |
| Cooling Value (5°C) | 4.99944 | 9/01/2023 4:40 PM |
Below is an example of what I am trying to acheive.
| Cook Value 1 | 92.37897 |
| Cook Value 2 | 65.54156 |
| Cooling Value (52°C) | 52.38693 |
| Cooling Value (12°C) | 11.96154 |
| Max Temp / End Of Cook | 93.80781 |
| Cooling Value (5°C) | 4.99944 |
| 9/01/2023 11:00 AM | |
| 9/01/2023 11:58 AM | |
| 9/01/2023 12:21 PM | |
| 9/01/2023 3:00 PM | |
| 9/01/2023 11:02 AM | |
| 9/01/2023 4:40 PM |
Which can then be transposed like below and the columns could then be renamed, re-ordered, etc...
| Cook Value 1 | Cook Value 2 | Cooling Value (52°C) | Cooling Value (12°C) | Max Temp / End Of Cook | Cooling Value (5°C) | ||||||
| 92.37897 | 65.54156 | 52.38693 | 11.96154 | 93.80781 | 4.99944 | 9/01/2023 11:00 AM | 9/01/2023 11:58 AM | 9/01/2023 12:21 PM | 9/01/2023 3:00 PM | 9/01/2023 11:02 AM | 9/01/2023 4:40 PM |
I feel like I'm missing a simple solution, could anyone point me the right direction? TIA
Solved! Go to Solution.
Hey Andrew,
Would something like this work?
let
_source =
Table.FromRows (
Json.Document (
Binary.Decompress (
Binary.FromText (
"bY89CsJAEEavMmylEDY7szubnbTBUmzEJqQI+IMYExvBY3kGT+YGkmJDuine431T16oahgec2u59AVSZEtK2CFKMZ445GbKAWBqjmiyBKRKeNTtkv4A5zHB3728Tv2H6fattRDkmghebWFQSrlk4W4haPLJLLJ6H7dsPHC/PF+Sw689wuMI4dWStDqYIuPyHVidOLadFxKUpX7qYav4=",
BinaryEncoding.Base64
),
Compression.Deflate
)
),
let
_t =
( ( type nullable text ) meta [ Serialized.Text = true ] )
in
type table [ Attribute = _t, Value = _t, Time = _t ]
),
_select_time =
Table.SelectColumns (
_source,
{ "Time" }
),
_sort_time =
Table.Sort (
_select_time,
{ "Time", Order.Ascending }
),
_rename_sort_column =
Table.RenameColumns (
_sort_time,
{
{ "Time", "Value" }
}
),
_remove_time_from_source =
Table.RemoveColumns (
_source,
{ "Time" }
),
_combine_tables =
Table.Combine (
{
_remove_time_from_source,
_rename_sort_column
}
)
in
_combine_tables
Hey Andrew,
Would something like this work?
let
_source =
Table.FromRows (
Json.Document (
Binary.Decompress (
Binary.FromText (
"bY89CsJAEEavMmylEDY7szubnbTBUmzEJqQI+IMYExvBY3kGT+YGkmJDuine431T16oahgec2u59AVSZEtK2CFKMZ445GbKAWBqjmiyBKRKeNTtkv4A5zHB3728Tv2H6fattRDkmghebWFQSrlk4W4haPLJLLJ6H7dsPHC/PF+Sw689wuMI4dWStDqYIuPyHVidOLadFxKUpX7qYav4=",
BinaryEncoding.Base64
),
Compression.Deflate
)
),
let
_t =
( ( type nullable text ) meta [ Serialized.Text = true ] )
in
type table [ Attribute = _t, Value = _t, Time = _t ]
),
_select_time =
Table.SelectColumns (
_source,
{ "Time" }
),
_sort_time =
Table.Sort (
_select_time,
{ "Time", Order.Ascending }
),
_rename_sort_column =
Table.RenameColumns (
_sort_time,
{
{ "Time", "Value" }
}
),
_remove_time_from_source =
Table.RemoveColumns (
_source,
{ "Time" }
),
_combine_tables =
Table.Combine (
{
_remove_time_from_source,
_rename_sort_column
}
)
in
_combine_tables
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