5 Replies Latest reply: Jan 27, 2017 8:46 AM by Anna Pochyła RSS

    How do you unpivot a loaded data table?

    Jessica Lee

      I'm trying to "unpivot" my data table so that I could collapse my fields into a single dimension.   However, when I go to the data manager, the edit icon is not available, and when I click on the generated table, and Qlik tells me that the able is added using the data load script, and can only be viewed in the data model viewer after the data is loaded.


        • Re: How do you unpivot a loaded data table?
          Jessica Lee

          I actually tried this script, but I get the following error message -- I'm not sure what I'm missing.  I'm following some of the previous posts, but I'm guessing it's the structure of my loaded data table.  It would be great if someone could help me.


          Thank you,



              Date(Makedate([year],right([period],2)), 'M/D/YYYY') as DATE,
              Date(Makedate("year",right(period,2)), 'MMMYYYY') as MONTHYEAR,
              If(series_id='SMS01000000000000001', value) as [Alabama],
              If(series_id='SMS02000000000000001', value) as [Alaska],
              If(series_id='SMS04000000000000001', value) as [Arizona],
              If(series_id='SMS05000000000000001', value) as [Arkansas],
              If(series_id='SMS06000000000000001', value) as [California],
              If(series_id='SMS08000000000000001', value) as [Colorado],
              If(series_id='SMS09000000000000001', value) as [Connecticut],
              If(series_id='SMS10000000000000001', value) as [Delaware],
              If(series_id='SMS11000000000000001', value) as [District of Columbia],
              If(series_id='SMS12000000000000001', value) as [Florida],
              If(series_id='SMS13000000000000001', value) as [Georgia],
              If(series_id='SMS15000000000000001', value) as [Hawaii],
              If(series_id='SMS16000000000000001', value) as [Idaho],
              If(series_id='SMS17000000000000001', value) as [Illinois],
              If(series_id='SMS18000000000000001', value) as [Indiana],
              If(series_id='SMS19000000000000001', value) as [Iowa],
              If(series_id='SMS20000000000000001', value) as [Kansas],
              If(series_id='SMS21000000000000001', value) as [Kentucky],
              If(series_id='SMS22000000000000001', value) as [Louisiana],
              If(series_id='SMS23000000000000001', value) as [Maine],
              If(series_id='SMS24000000000000001', value) as [Maryland],
              If(series_id='SMS25000000000000001', value) as [Massachusetts],
              If(series_id='SMS26000000000000001', value) as [Michigan],
              If(series_id='SMS27000000000000001', value) as [Minnesota],
              If(series_id='SMS28000000000000001', value) as [Mississippi],
              If(series_id='SMS29000000000000001', value) as [Missouri],
              If(series_id='SMS30000000000000001', value) as [Montana],
              If(series_id='SMS31000000000000001', value) as [Nebraska],
              If(series_id='SMS32000000000000001', value) as [Nevada],
              If(series_id='SMS33000000000000001', value) as [New Hampshire],
              If(series_id='SMS34000000000000001', value) as [New Jersey],
              If(series_id='SMS35000000000000001', value) as [New Mexico],
              If(series_id='SMS36000000000000001', value) as [New York],
              If(series_id='SMS37000000000000001', value) as [North Carolina],
              If(series_id='SMS38000000000000001', value) as [North Dakota],
              If(series_id='SMS39000000000000001', value) as [Ohio],
              If(series_id='SMS40000000000000001', value) as [Oklahoma],
              If(series_id='SMS41000000000000001', value) as [Oregon],
              If(series_id='SMS42000000000000001', value) as [Pennsylvania],
              If(series_id='SMS44000000000000001', value) as [Rhode Island],
              If(series_id='SMS45000000000000001', value) as [South Carolina],
              If(series_id='SMS46000000000000001', value) as [South Dakota],
              If(series_id='SMS47000000000000001', value) as [Tennessee],
              If(series_id='SMS48000000000000001', value) as [Texas],
              If(series_id='SMS49000000000000001', value) as [Utah],
              If(series_id='SMS50000000000000001', value) as [Vermont],
              If(series_id='SMS51000000000000001', value) as [Virginia],
              If(series_id='SMS53000000000000001', value) as [Washington],
              If(series_id='SMS54000000000000001', value) as [West Virginia],
              If(series_id='SMS55000000000000001', value) as [Wisconsin],
              If(series_id='SMS56000000000000001', value) as [Wyoming],
              If(series_id='SMS72000000000000001', value) as [Puerto Rico],
              If(series_id='SMS78000000000000001', value) as [Virgin Islands]
          FROM [lib://BLS Employment Series AllData]
          (txt, codepage is 1252, embedded labels, delimiter is '\t', msq);


              SUM([Alabama]) as [Alabama_NF],
              SUM([Alaska]) as [Alaska_NF],
              SUM([Arizona]) as [Arizona_NF],
              SUM([Arkansas]) as [Arkansas_NF],
              SUM([California]) as [California_NF],
              SUM([Colorado]) as [Colorado_NF],
              SUM([Connecticut]) as [Connecticut_NF],
              SUM([Delaware]) as [Delaware_NF],
              SUM([District of Columbia]) as [District of Columbia_NF],
              SUM([Florida]) as [Florida_NF],
              SUM([Georgia]) as [Georgia_NF],
              SUM([Hawaii]) as [Hawaii_NF],
              SUM([Idaho]) as [Idaho_NF],
              SUM([Illinois]) as [Illinois_NF],
              SUM([Indiana]) as [Indiana_NF],
              SUM([Iowa]) as [Iowa_NF],
              SUM([Kansas]) as [Kansas_NF],
              SUM([Kentucky]) as [Kentucky_NF],
              SUM([Louisiana]) as [Louisiana_NF],
              SUM([Maine]) as [Maine_NF],
              SUM([Maryland]) as [Maryland_NF],
              SUM([Massachusetts]) as [Massachusetts_NF],
              SUM([Michigan]) as [Michigan_NF],
              SUM([Minnesota]) as [Minnesota_NF],
              SUM([Mississippi]) as [Mississippi_NF],
              SUM([Missouri]) as [Missouri_NF],
              SUM([Montana]) as [Montana_NF],
              SUM([Nebraska]) as [Nebraska_NF],
              SUM([Nevada]) as [Nevada_NF],
              SUM([New Hampshire]) as [New Hampshire_NF],
              SUM([New Jersey]) as [New Jersey_NF],
              SUM([New Mexico]) as [New Mexico_NF],
              SUM([New York]) as [New York_NF],
              SUM([North Carolina]) as [North Carolina_NF],
              SUM([North Dakota]) as [North Dakota_NF],
              SUM([Ohio]) as [Ohio_NF],
              SUM([Oklahoma]) as [Oklahoma_NF],
              SUM([Oregon]) as [Oregon_NF],
              SUM([Pennsylvania]) as [Pennsylvania_NF],
              SUM([Rhode Island]) as [Rhode Island_NF],
              SUM([South Carolina]) as [South Carolina_NF],
              SUM([South Dakota]) as [South Dakota_NF],
              SUM([Tennessee]) as [Tennessee_NF],
              SUM([Texas]) as [Texas_NF],
              SUM([Utah]) as [Utah_NF],
              SUM([Vermont]) as [Vermont_NF],
              SUM([Virginia]) as [Virginia_NF],
              SUM([Washington]) as [Washington_NF],
              SUM([West Virginia]) as [West Virginia_NF] ,
              SUM([Wisconsin]) as [Wisconsin_NF],
              SUM([Wyoming]) as [Wyoming_NF],
              SUM([Puerto Rico]) as [Puerto Rico_NF],
              SUM([Virgin Islands]) as [Virgin Islands_NF]
          Resident BLS_data_1
          Group by MONTHYEAR, DATE;
          Drop Table BLS_data_1;



          CrossTable(State, BLS_employ, 2)
          Load *
          From BLS_data;




          • Re: How do you unpivot a loaded data table?
            Shraddha Gajare

            Try Loading BLS Data using data manager then only you will get unpivot option there.

            • Re: How do you unpivot a loaded data table?
              Vineeth Pujari

              Can you post a sample with dummy data ?