==============================================================================
probe_short_form_structure � HD 2.4.b round 1 Surface 3 follow-up
==============================================================================

==============================================================================
FY 2012 � short-form CSV raw structure probe
==============================================================================

  CSV row count: 7,354
  CSV column count: 21
  Column headers: ['inst_id', 'year', 'ncses_inst_id', 'ipeds_unitid', 'hbcu_flag', 'med_sch_flag', 'hhe_flag', 'toi_code', 'hdg_code', 'toc_code', 'inst_name_long', 'inst_city', 'inst_state_code', 'inst_zip', 'questionnaire_no', 'question', 'row', 'column', 'data', 'status', 'othinfo']

  Distinct question labels in 'question':
    n= 3,933  question='Expenditures by major field and source'
    n= 1,784  question='Inclusion of Institution funds'
    n= 1,031  question='Source'
    n=   468  question='Received as a subrecipient'
    n=   138  question='Passed through to subrecipients'

  Distinct 'questionnaire_no' prefixes (top 20):
    qno='01.1'     n= 1,784
    qno='02.k'     n=   726
    qno='02.d'     n=   609
    qno='03'       n=   468
    qno='02.f'     n=   462
    qno='02.j'     n=   432
    qno='02.h'     n=   360
    qno='02.c'     n=   297
    qno='02.g'     n=   270
    qno='02.e'     n=   249
    qno='01.g'     n=   242
    qno='02.a'     n=   234
    qno='01.a'     n=   226
    qno='01.e'     n=   192
    qno='02.b'     n=   165
    qno='01.d'     n=   140
    qno='04'       n=   138
    qno='02.i'     n=   129
    qno='01.b'     n=   111
    qno='01.c'     n=    93

  Candidate Short Form Q2 questions: 1

    Question: 'Expenditures by major field and source'
      Columns under this question:
        'Federal'                 n= 1,311
        'Nonfederal'              n= 1,311
        'Total'                   n= 1,311
      Top 15 row labels under this question:
        'All'                                                   n=   726
        'Life sciences, all'                                    n=   609
        'Physical sciences, all'                                n=   462
        'Non-S&E, all'                                          n=   432
        'Social sciences, all'                                  n=   360
        'Geosciences, atmospheric sciences, and ocean sciences, all' n=   297
        'Psychology, all'                                       n=   270
        'Mathematics and statistics, all'                       n=   249
        'Computer and information sciences, all'                n=   234
        'Engineering, all'                                      n=   165
        'Other sciences, all'                                   n=   129
      Sample 5 rows:
        ('001016', '2012', 'U3365001', '101879', '0', 'F', '0', '1', '2', '1', 'University of North Alabama', 'Florence', 'AL', '35632', '02.f', 'Expenditures by major field and source', 'Physical sciences, all', 'Federal', '22', None, None)
        ('001016', '2012', 'U3365001', '101879', '0', 'F', '0', '1', '2', '1', 'University of North Alabama', 'Florence', 'AL', '35632', '02.f', 'Expenditures by major field and source', 'Physical sciences, all', 'Nonfederal', '17', None, None)
        ('001016', '2012', 'U3365001', '101879', '0', 'F', '0', '1', '2', '1', 'University of North Alabama', 'Florence', 'AL', '35632', '02.f', 'Expenditures by major field and source', 'Physical sciences, all', 'Total', '39', None, None)
        ('001016', '2012', 'U3365001', '101879', '0', 'F', '0', '1', '2', '1', 'University of North Alabama', 'Florence', 'AL', '35632', '02.j', 'Expenditures by major field and source', 'Non-S&E, all', 'Federal', '118', None, None)
        ('001016', '2012', 'U3365001', '101879', '0', 'F', '0', '1', '2', '1', 'University of North Alabama', 'Florence', 'AL', '35632', '02.j', 'Expenditures by major field and source', 'Non-S&E, all', 'Nonfederal', '28', None, None)

  Status code distribution:
    status=None         n= 7,161
    status='i'          n=   193

==============================================================================
FY 2017 � short-form CSV raw structure probe
==============================================================================

  CSV row count: 6,872
  CSV column count: 21
  Column headers: ['inst_id', 'year', 'ncses_inst_id', 'ipeds_unitid', 'hbcu_flag', 'med_sch_flag', 'hhe_flag', 'toi_code', 'hdg_code', 'toc_code', 'inst_name_long', 'inst_city', 'inst_state_code', 'inst_zip', 'questionnaire_no', 'question', 'row', 'column', 'data', 'status', 'othinfo']

  Distinct question labels in 'question':
    n= 4,128  question='Expenditures by major field and source'
    n= 1,107  question='Source'
    n=   992  question='Inclusion of Institution funds'
    n=   498  question='Received as a subrecipient'
    n=   147  question='Passed through to subrecipients'

  Distinct 'questionnaire_no' prefixes (top 20):
    qno='01.1'     n=   992
    qno='02.k'     n=   765
    qno='02.d'     n=   633
    qno='02.j'     n=   513
    qno='03'       n=   498
    qno='02.f'     n=   459
    qno='02.h'     n=   348
    qno='02.e'     n=   291
    qno='02.g'     n=   267
    qno='02.a'     n=   255
    qno='01.g'     n=   255
    qno='02.c'     n=   249
    qno='01.a'     n=   237
    qno='01.e'     n=   206
    qno='02.b'     n=   180
    qno='02.i'     n=   168
    qno='01.d'     n=   162
    qno='04'       n=   147
    qno='01.b'     n=   107
    qno='01.c'     n=    82

  Candidate Short Form Q2 questions: 1

    Question: 'Expenditures by major field and source'
      Columns under this question:
        'Federal'                 n= 1,376
        'Nonfederal'              n= 1,376
        'Total'                   n= 1,376
      Top 15 row labels under this question:
        'All'                                                   n=   765
        'Life sciences, all'                                    n=   633
        'Non-S&E, all'                                          n=   513
        'Physical sciences, all'                                n=   459
        'Social sciences, all'                                  n=   348
        'Mathematics and statistics, all'                       n=   291
        'Psychology, all'                                       n=   267
        'Computer and information sciences, all'                n=   255
        'Geosciences, atmospheric sciences, and ocean sciences, all' n=   249
        'Engineering, all'                                      n=   180
        'Other sciences, all'                                   n=   168
      Sample 5 rows:
        ('001033', '2017', 'U2370001', '101912', '1', 'F', '0', '1', '2', '2', 'Oakwood University', 'Huntsville', 'AL', '35896', '02.b', 'Expenditures by major field and source', 'Engineering, all', 'Federal', '0', 'i', None)
        ('001033', '2017', 'U2370001', '101912', '1', 'F', '0', '1', '2', '2', 'Oakwood University', 'Huntsville', 'AL', '35896', '02.b', 'Expenditures by major field and source', 'Engineering, all', 'Nonfederal', '60', 'i', None)
        ('001033', '2017', 'U2370001', '101912', '1', 'F', '0', '1', '2', '2', 'Oakwood University', 'Huntsville', 'AL', '35896', '02.b', 'Expenditures by major field and source', 'Engineering, all', 'Total', '60', 'i', None)
        ('001033', '2017', 'U2370001', '101912', '1', 'F', '0', '1', '2', '2', 'Oakwood University', 'Huntsville', 'AL', '35896', '02.d', 'Expenditures by major field and source', 'Life sciences, all', 'Federal', '172', 'i', None)
        ('001033', '2017', 'U2370001', '101912', '1', 'F', '0', '1', '2', '2', 'Oakwood University', 'Huntsville', 'AL', '35896', '02.d', 'Expenditures by major field and source', 'Life sciences, all', 'Nonfederal', '0', 'i', None)

  Status code distribution:
    status=None         n= 6,672
    status='i'          n=   200

==============================================================================
FY 2024 � short-form CSV raw structure probe
==============================================================================

  CSV row count: 6,684
  CSV column count: 21
  Column headers: ['inst_id', 'year', 'ncses_inst_id', 'ipeds_unitid', 'hbcu_flag', 'med_sch_flag', 'hhe_flag', 'toi_code', 'hdg_code', 'toc_code', 'inst_name_long', 'inst_city', 'inst_state_code', 'inst_zip', 'questionnaire_no', 'question', 'row', 'column', 'data', 'status', 'othinfo']

  Distinct question labels in 'question':
    n= 4,104  question='Expenditures by major field and source'
    n= 1,023  question='Source'
    n=   888  question='Inclusion of Institution funds'
    n=   498  question='Received as a subrecipient'
    n=   171  question='Passed through to subrecipients'

  Distinct 'questionnaire_no' prefixes (top 20):
    qno='01.1'     n=   888
    qno='02.k'     n=   732
    qno='02.d'     n=   609
    qno='03'       n=   498
    qno='02.j'     n=   459
    qno='02.f'     n=   444
    qno='02.h'     n=   399
    qno='02.g'     n=   330
    qno='02.a'     n=   300
    qno='02.e'     n=   294
    qno='01.g'     n=   244
    qno='01.a'     n=   225
    qno='02.c'     n=   222
    qno='01.e'     n=   191
    qno='04'       n=   171
    qno='02.b'     n=   168
    qno='02.i'     n=   147
    qno='01.d'     n=   144
    qno='01.b'     n=    96
    qno='01.f'     n=    70

  Candidate Short Form Q2 questions: 1

    Question: 'Expenditures by major field and source'
      Columns under this question:
        'Federal'                 n= 1,368
        'Total'                   n= 1,368
        'Nonfederal'              n= 1,368
      Top 15 row labels under this question:
        'All'                                                   n=   732
        'Life sciences, all'                                    n=   609
        'Non-S&E, all'                                          n=   459
        'Physical sciences, all'                                n=   444
        'Social sciences, all'                                  n=   399
        'Psychology, all'                                       n=   330
        'Computer and information sciences, all'                n=   300
        'Mathematics and statistics, all'                       n=   294
        'Geosciences, atmospheric sciences, and ocean sciences, all' n=   222
        'Engineering, all'                                      n=   168
        'Other sciences, all'                                   n=   147
      Sample 5 rows:
        ('001016', '2024', 'U3365001', '101879', '0', 'F', '0', '1', '1', '1', 'University of North Alabama', 'Florence', 'AL', '35632', '02.a', 'Expenditures by major field and source', 'Computer and information sciences, all', 'Federal', '0', None, None)
        ('001016', '2024', 'U3365001', '101879', '0', 'F', '0', '1', '1', '1', 'University of North Alabama', 'Florence', 'AL', '35632', '02.a', 'Expenditures by major field and source', 'Computer and information sciences, all', 'Nonfederal', '1', None, None)
        ('001016', '2024', 'U3365001', '101879', '0', 'F', '0', '1', '1', '1', 'University of North Alabama', 'Florence', 'AL', '35632', '02.a', 'Expenditures by major field and source', 'Computer and information sciences, all', 'Total', '1', None, None)
        ('001016', '2024', 'U3365001', '101879', '0', 'F', '0', '1', '1', '1', 'University of North Alabama', 'Florence', 'AL', '35632', '02.c', 'Expenditures by major field and source', 'Geosciences, atmospheric sciences, and ocean sciences, all', 'Federal', '0', None, None)
        ('001016', '2024', 'U3365001', '101879', '0', 'F', '0', '1', '1', '1', 'University of North Alabama', 'Florence', 'AL', '35632', '02.c', 'Expenditures by major field and source', 'Geosciences, atmospheric sciences, and ocean sciences, all', 'Nonfederal', '2', None, None)

  Status code distribution:
    status=None         n= 6,002
    status='i'          n=   682
