Qlik Community

Qlik Sense App Development

Discussion board where members can learn more about Qlik Sense App Development and Usage.

Announcements
BI & Data Trends 2021. Discover the top 10 trends emerging in today. Join us on Dec. 8th REGISTER
cancel
Showing results for 
Search instead for 
Did you mean: 
Highlighted
Creator II
Creator II

How do you unpivot a loaded data table?

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.

5 Replies
Highlighted
Creator II
Creator II

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,

Jessica

BLS_data_1:
LOAD
    series_id,
    "year",
    period,
    value,
    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);

BLS_data:
LOAD
   DATE,
   MONTHYEAR,
    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_1:
CrossTable(State, BLS_employ, 2)
Load *
From BLS_data;


Highlighted
Specialist III
Specialist III

Hi Jessica ,

You are using scripting mode for loading the data and where you are pointing out , that Preparation Data works for non scripting mode i.e drag and drop a file or go to data manager and add file and it will ask for prepare data.

My suggestion is , Please use cross table function to do it . It will solve your case.

Please mark the appropriate replies as CORRECT / HELPFUL so our team and other members know that your question(s) has been answered to your satisfaction.

Rohit Kumar

Highlighted
Partner
Partner

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

Highlighted
Champion II
Champion II

Can you post a sample with dummy data ?

Highlighted
Partner
Partner

Try usin

noconcatenate command before loading BLS_data.

It will look like this:

NoConcatenate

BLS_data:

LOAD ...

Anna