Forum Discussion
Sohaib
Helper II
2 years agoextract the data with respect to few columns
Hi I have these kind of data which i extract from the raw data set. I need to furthure extract it with respect to few columns As you can see the above two mentioned columns for every ...
- 2 years ago
Ok, but keep in mind that for L_JCL014_I with date 17.3.2024 you have 2 rows with same RRC_USERS max value!
let Source = Csv.Document(File.Contents("c:\Address\Hourly Table 20240404 192948.csv"),[Delimiter=",", Columns=55, Encoding=1250, QuoteStyle=QuoteStyle.None]), PromotedHeaders = Table.PromoteHeaders(Source, [PromoteAllScalars=true]), TransformHeaders = Table.TransformColumnNames(PromotedHeaders, each Text.Trim(Text.BetweenDelimiters(_, "Hourly Table[", "]"))), ChangedType = Table.TransformColumns(TransformHeaders,{{"Date New", each Date.From(DateTime.From(_, "en-US")), type date}, {"RRC_USERS", each Number.From(_, "en-US"), type number}}), GroupedRows = Table.Group(ChangedType, {"EutranCells", "Date New"}, {{"Max RRC_USERS Row", each Table.SelectRows(_, (x)=> x[RRC_USERS] = List.Max([RRC_USERS])), type table}}), CombinedMaxRRC_USERS_Rows = Table.Combine(GroupedRows[Max RRC_USERS Row]) in CombinedMaxRRC_USERS_Rows
dufoq3
Community Champion
2 years agoHi, try this. Change folder address.
let
Source = Folder.Files("c:\Downloads\PowerQueryForum\Sohaib\CS BH Tables\"),
CsvToTable = Table.TransformColumns(Source, {{"Content", each Table.PromoteHeaders(Csv.Document(_)), type table}}),
Combined = Table.Combine(CsvToTable[Content]),
ChangedType = Table.TransformColumns(Combined, {{"Date New", each Date.From(Text.BeforeDelimiter(_, " ")), type date}, {"VOICE_TRAFFIC_3G_Erl", each Number.From(_, "en-US"), type number}}),
GroupedRows = Table.Group(ChangedType, {"Utrancell"}, {{"Max5", each Table.MaxN(_, {"VOICE_TRAFFIC_3G_Erl"}, 5), type table}}),
CombinedMax5 = Table.Combine(GroupedRows[Max5])
in
CombinedMax5