From: Ben Pfaff Date: Tue, 18 Jan 2022 03:31:08 +0000 (-0800) Subject: Some basic tests. X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?p=pspp;a=commitdiff_plain;h=142f8f8814423f76523825f8df060e2fa9d2a2b6 Some basic tests. --- diff --git a/examples/nhtsa.sav b/examples/nhtsa.sav new file mode 100644 index 0000000000..9e63f334c1 Binary files /dev/null and b/examples/nhtsa.sav differ diff --git a/src/language/stats/ctables.c b/src/language/stats/ctables.c index 6b6b46a035..edeb97cc28 100644 --- a/src/language/stats/ctables.c +++ b/src/language/stats/ctables.c @@ -2567,12 +2567,16 @@ ctables_table_output (struct ctables *ct, struct ctables_table *t) pivot_table_set_caption ( pt, pivot_value_new_user_text (t->corner, SIZE_MAX)); - bool summary_dimension = t->summary_axis != t->slabels_axis; + bool summary_dimension = (t->summary_axis != t->slabels_axis + || (!t->slabels_visible + && t->summary_specs.n > 1)); if (summary_dimension) { struct pivot_dimension *d = pivot_dimension_create ( - pt, t->slabels_axis, N_("Summaries")); + pt, t->slabels_axis, N_("Statistics")); const struct ctables_summary_spec_set *specs = &t->summary_specs; + if (!t->slabels_visible) + d->hide_all_labels = true; for (size_t i = 0; i < specs->n; i++) pivot_category_create_leaf ( d->root, pivot_value_new_text (specs->specs[i].label)); @@ -2700,7 +2704,7 @@ ctables_table_output (struct ctables *ct, struct ctables_table *t) } } - if (a == t->slabels_axis && a == t->summary_axis) + if (!summary_dimension && a == t->slabels_axis) { levels[n_levels++] = (struct ctables_level) { .type = CTL_SUMMARY, diff --git a/tests/language/stats/ctables.at b/tests/language/stats/ctables.at index e8b5981b10..be67e3e569 100644 --- a/tests/language/stats/ctables.at +++ b/tests/language/stats/ctables.at @@ -1,25 +1,25 @@ AT_BANNER([CTABLES]) -AT_SETUP([CTABLES parsing]) -AT_DATA([ctables.sps], -[[DATA LIST LIST NOTABLE /x y z. -CTABLES /TABLE=(x + y) > z. -CTABLES /TABLE=(x[c] + y[c]) > z. -CTABLES /TABLE=(x + y) > z[c]. -CTABLES /TABLE=x BY y BY z. -CTABLES /TABLE=x[c] [ROWPCT.COUNT] > y[c]. -CTABLES /TABLE=x[c] > y[c] [ROWPCT.COUNT]. -]]) -AT_CHECK([pspp ctables.sps]) -AT_CLEANUP +# AT_SETUP([CTABLES parsing]) +# AT_DATA([ctables.sps], +# [[DATA LIST LIST NOTABLE /x y z. +# CTABLES /TABLE=(x + y) > z. +# CTABLES /TABLE=(x[c] + y[c]) > z. +# CTABLES /TABLE=(x + y) > z[c]. +# CTABLES /TABLE=x BY y BY z. +# CTABLES /TABLE=x[c] [ROWPCT.COUNT] > y[c]. +# CTABLES /TABLE=x[c] > y[c] [ROWPCT.COUNT]. +# ]]) +# AT_CHECK([pspp ctables.sps]) +# AT_CLEANUP AT_SETUP([CTABLES one categorical variable]) AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .]) AT_DATA([ctables.sps], [[GET 'nhtsa.sav'. -CTABLES /TABLE QN1. -CTABLES /TABLE BY QN1. -CTABLES /TABLE BY BY QN1. +CTABLES /TABLE qn1. +CTABLES /TABLE BY qn1. +CTABLES /TABLE BY BY qn1. ]]) AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl Custom Tables @@ -60,9 +60,9 @@ AT_SETUP([CTABLES one scale variable]) AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .]) AT_DATA([ctables.sps], [[GET 'nhtsa.sav'. -CTABLES /TABLE QND1[COUNT, MEAN, STDDEV, MINIMUM, MAXIMUM]. -CTABLES /TABLE BY QND1. -CTABLES /TABLE BY BY QND1. +CTABLES /TABLE qnd1[COUNT, MEAN, STDDEV, MINIMUM, MAXIMUM]. +CTABLES /TABLE BY qnd1. +CTABLES /TABLE BY BY qnd1. ]]) AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl Custom Tables @@ -90,3 +90,391 @@ D1. AGE: What is your age? ╰────╯ ]) AT_CLEANUP + +AT_SETUP([CTABLES simple stacking]) +AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .]) +AT_DATA([ctables.sps], +[[GET 'nhtsa.sav'. +CTABLES /TABLE qn105ba + qn105bb + qn105bc + qn105bd BY qns3a [COLPCT PCT8.0]. +]]) +AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl + Custom Tables +╭───────────────────────────────────────────────────────────────┬──────────────╮ +│ │ S3a. GENDER: │ +│ ├──────┬───────┤ +│ │ Male │ Female│ +│ ├──────┼───────┤ +│ │Column│ Column│ +│ │ % │ % │ +├───────────────────────────────────────────────────────────────┼──────┼───────┤ +│105b. How likely is it that drivers who have had Almost │ 10%│ 11%│ +│too much to drink to drive safely will A. Get certain │ │ │ +│stopped by the police? Very likely │ 21%│ 22%│ +│ Somewhat │ 38%│ 42%│ +│ likely │ │ │ +│ Somewhat │ 21%│ 18%│ +│ unlikely │ │ │ +│ Very │ 10%│ 8%│ +│ unlikely │ │ │ +├───────────────────────────────────────────────────────────────┼──────┼───────┤ +│105b. How likely is it that drivers who have had Almost │ 14%│ 18%│ +│too much to drink to drive safely will B. Have an certain │ │ │ +│accident? Very likely │ 36%│ 45%│ +│ Somewhat │ 39%│ 32%│ +│ likely │ │ │ +│ Somewhat │ 9%│ 4%│ +│ unlikely │ │ │ +│ Very │ 3%│ 2%│ +│ unlikely │ │ │ +├───────────────────────────────────────────────────────────────┼──────┼───────┤ +│105b. How likely is it that drivers who have had Almost │ 18%│ 16%│ +│too much to drink to drive safely will C. Be certain │ │ │ +│convicted for drunk driving? Very likely │ 32%│ 28%│ +│ Somewhat │ 27%│ 32%│ +│ likely │ │ │ +│ Somewhat │ 15%│ 15%│ +│ unlikely │ │ │ +│ Very │ 9%│ 9%│ +│ unlikely │ │ │ +├───────────────────────────────────────────────────────────────┼──────┼───────┤ +│105b. How likely is it that drivers who have had Almost │ 16%│ 16%│ +│too much to drink to drive safely will D. Be certain │ │ │ +│arrested for drunk driving? Very likely │ 26%│ 27%│ +│ Somewhat │ 32%│ 35%│ +│ likely │ │ │ +│ Somewhat │ 17%│ 15%│ +│ unlikely │ │ │ +│ Very │ 9%│ 7%│ +│ unlikely │ │ │ +╰───────────────────────────────────────────────────────────────┴──────┴───────╯ +]) +AT_CLEANUP + + +AT_SETUP([CTABLES simple nesting]) +AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .]) +AT_DATA([ctables.sps], +[[GET 'nhtsa.sav'. +CTABLES /TABLE (qn105ba + qn105bb + qn105bc + qn105bd) > qns3a [TABLEPCT PCT8.0] + /CATEGORIES VARIABLES=qns3a TOTAL=NO. +CTABLES /TABLE qns3a > (qn105ba + qn105bb + qn105bc + qn105bd) [TABLEPCT PCT8.0] + /CATEGORIES VARIABLES=qns3a TOTAL=NO + /CLABELS ROW=OPPOSITE. +]]) +dnl XXX With TOTAL=YES above, the totals get included in the denominator so that +dnl the percentages are about half of the correct values. +AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl + Custom Tables +╭───────────────────────────────────────────────────────────────────────┬──────╮ +│ │ Table│ +│ │ % │ +├───────────────────────────────────────────────────────────────────────┼──────┤ +│105b. How likely is it that drivers who Almost S3a. Male │ 4%│ +│have had too much to drink to drive safely certain GENDER: Female│ 6%│ +│will A. Get stopped by the police? ╶───────────────────────────┼──────┤ +│ Very likely S3a. Male │ 10%│ +│ GENDER: Female│ 12%│ +│ ╶───────────────────────────┼──────┤ +│ Somewhat S3a. Male │ 17%│ +│ likely GENDER: Female│ 23%│ +│ ╶───────────────────────────┼──────┤ +│ Somewhat S3a. Male │ 9%│ +│ unlikely GENDER: Female│ 10%│ +│ ╶───────────────────────────┼──────┤ +│ Very S3a. Male │ 5%│ +│ unlikely GENDER: Female│ 4%│ +├───────────────────────────────────────────────────────────────────────┼──────┤ +│105b. How likely is it that drivers who Almost S3a. Male │ 6%│ +│have had too much to drink to drive safely certain GENDER: Female│ 10%│ +│will B. Have an accident? ╶───────────────────────────┼──────┤ +│ Very likely S3a. Male │ 16%│ +│ GENDER: Female│ 25%│ +│ ╶───────────────────────────┼──────┤ +│ Somewhat S3a. Male │ 17%│ +│ likely GENDER: Female│ 18%│ +│ ╶───────────────────────────┼──────┤ +│ Somewhat S3a. Male │ 4%│ +│ unlikely GENDER: Female│ 2%│ +│ ╶───────────────────────────┼──────┤ +│ Very S3a. Male │ 1%│ +│ unlikely GENDER: Female│ 1%│ +├───────────────────────────────────────────────────────────────────────┼──────┤ +│105b. How likely is it that drivers who Almost S3a. Male │ 8%│ +│have had too much to drink to drive safely certain GENDER: Female│ 9%│ +│will C. Be convicted for drunk driving? ╶───────────────────────────┼──────┤ +│ Very likely S3a. Male │ 14%│ +│ GENDER: Female│ 15%│ +│ ╶───────────────────────────┼──────┤ +│ Somewhat S3a. Male │ 12%│ +│ likely GENDER: Female│ 18%│ +│ ╶───────────────────────────┼──────┤ +│ Somewhat S3a. Male │ 7%│ +│ unlikely GENDER: Female│ 8%│ +│ ╶───────────────────────────┼──────┤ +│ Very S3a. Male │ 4%│ +│ unlikely GENDER: Female│ 5%│ +├───────────────────────────────────────────────────────────────────────┼──────┤ +│105b. How likely is it that drivers who Almost S3a. Male │ 7%│ +│have had too much to drink to drive safely certain GENDER: Female│ 9%│ +│will D. Be arrested for drunk driving? ╶───────────────────────────┼──────┤ +│ Very likely S3a. Male │ 12%│ +│ GENDER: Female│ 15%│ +│ ╶───────────────────────────┼──────┤ +│ Somewhat S3a. Male │ 14%│ +│ likely GENDER: Female│ 19%│ +│ ╶───────────────────────────┼──────┤ +│ Somewhat S3a. Male │ 8%│ +│ unlikely GENDER: Female│ 8%│ +│ ╶───────────────────────────┼──────┤ +│ Very S3a. Male │ 4%│ +│ unlikely GENDER: Female│ 4%│ +╰───────────────────────────────────────────────────────────────────────┴──────╯ + + Custom Tables +╭─────────────────────────────────┬────────┬──────┬─────────┬─────────┬────────╮ +│ │ Almost │ Very │ Somewhat│ Somewhat│ Very │ +│ │ certain│likely│ likely │ unlikely│unlikely│ +│ ├────────┼──────┼─────────┼─────────┼────────┤ +│ │ │ Table│ │ │ │ +│ │ Table %│ % │ Table % │ Table % │ Table %│ +├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤ +│S3a. Male 105b. How likely │ 4%│ 10%│ 17%│ 9%│ 5%│ +│GENDER: is it that drivers│ │ │ │ │ │ +│ who have had too │ │ │ │ │ │ +│ much to drink to │ │ │ │ │ │ +│ drive safely will │ │ │ │ │ │ +│ A. Get stopped by │ │ │ │ │ │ +│ the police? │ │ │ │ │ │ +│ ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤ +│ Female 105b. How likely │ 6%│ 12%│ 23%│ 10%│ 4%│ +│ is it that drivers│ │ │ │ │ │ +│ who have had too │ │ │ │ │ │ +│ much to drink to │ │ │ │ │ │ +│ drive safely will │ │ │ │ │ │ +│ A. Get stopped by │ │ │ │ │ │ +│ the police? │ │ │ │ │ │ +├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤ +│S3a. Male 105b. How likely │ 6%│ 16%│ 17%│ 4%│ 1%│ +│GENDER: is it that drivers│ │ │ │ │ │ +│ who have had too │ │ │ │ │ │ +│ much to drink to │ │ │ │ │ │ +│ drive safely will │ │ │ │ │ │ +│ B. Have an │ │ │ │ │ │ +│ accident? │ │ │ │ │ │ +│ ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤ +│ Female 105b. How likely │ 10%│ 25%│ 18%│ 2%│ 1%│ +│ is it that drivers│ │ │ │ │ │ +│ who have had too │ │ │ │ │ │ +│ much to drink to │ │ │ │ │ │ +│ drive safely will │ │ │ │ │ │ +│ B. Have an │ │ │ │ │ │ +│ accident? │ │ │ │ │ │ +├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤ +│S3a. Male 105b. How likely │ 8%│ 14%│ 12%│ 7%│ 4%│ +│GENDER: is it that drivers│ │ │ │ │ │ +│ who have had too │ │ │ │ │ │ +│ much to drink to │ │ │ │ │ │ +│ drive safely will │ │ │ │ │ │ +│ C. Be convicted │ │ │ │ │ │ +│ for drunk driving?│ │ │ │ │ │ +│ ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤ +│ Female 105b. How likely │ 9%│ 15%│ 18%│ 8%│ 5%│ +│ is it that drivers│ │ │ │ │ │ +│ who have had too │ │ │ │ │ │ +│ much to drink to │ │ │ │ │ │ +│ drive safely will │ │ │ │ │ │ +│ C. Be convicted │ │ │ │ │ │ +│ for drunk driving?│ │ │ │ │ │ +├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤ +│S3a. Male 105b. How likely │ 7%│ 12%│ 14%│ 8%│ 4%│ +│GENDER: is it that drivers│ │ │ │ │ │ +│ who have had too │ │ │ │ │ │ +│ much to drink to │ │ │ │ │ │ +│ drive safely will │ │ │ │ │ │ +│ D. Be arrested for│ │ │ │ │ │ +│ drunk driving? │ │ │ │ │ │ +│ ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤ +│ Female 105b. How likely │ 9%│ 15%│ 19%│ 8%│ 4%│ +│ is it that drivers│ │ │ │ │ │ +│ who have had too │ │ │ │ │ │ +│ much to drink to │ │ │ │ │ │ +│ drive safely will │ │ │ │ │ │ +│ D. Be arrested for│ │ │ │ │ │ +│ drunk driving? │ │ │ │ │ │ +╰─────────────────────────────────┴────────┴──────┴─────────┴─────────┴────────╯ +]) +AT_CLEANUP + +AT_SETUP([CTABLES nesting and scale variables]) +AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .]) +AT_DATA([ctables.sps], +[[GET 'nhtsa.sav'. +CTABLES /TABLE=qnd1 > qn1 BY qns3a. +CTABLES /TABLE=qnd1 [MINIMUM, MAXIMUM, MEAN] > qns3a > (qn26 + qn27). +CTABLES /TABLE=qnsa1 > qn105ba [COLPCT] BY qns1. +CTABLES /TABLE=AgeGroup > qn20 [MEAN F8.1, STDDEV F8.1]. +]]) +AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl + Custom Tables +╭─────────────────────────────────────────────────────────────────┬────────────╮ +│ │S3a. GENDER:│ +│ ├─────┬──────┤ +│ │ Male│Female│ +│ ├─────┼──────┤ +│ │ Mean│ Mean │ +├─────────────────────────────────────────────────────────────────┼─────┼──────┤ +│D1. AGE: What 1. How often do you usually drive Every day │ 46│ 46│ +│is your age? a car or other motor vehicle? Several days a │ 51│ 59│ +│ week │ │ │ +│ Once a week or │ 44│ 54│ +│ less │ │ │ +│ Only certain │ 34│ 41│ +│ times a year │ │ │ +│ Never │ 39│ 55│ +╰─────────────────────────────────────────────────────────────────┴─────┴──────╯ + + Custom Tables +╭─────────────────────────────────────────────────────────┬───────┬───────┬────╮ +│ │Minimum│Maximum│Mean│ +├─────────────────────────────────────────────────────────┼───────┼───────┼────┤ +│D1. AGE: S3a. Male 26. During the last 12 Yes│ 16│ 86│ 42│ +│What is GENDER: months, has there been a │ │ │ │ +│your time when you felt you │ │ │ │ +│age? should cut down on your No │ 16│ 86│ 46│ +│ drinking? │ │ │ │ +│ ╶───────────────────────────────────────┼───────┼───────┼────┤ +│ Female 26. During the last 12 Yes│ 16│ 86│ 43│ +│ months, has there been a │ │ │ │ +│ time when you felt you │ │ │ │ +│ should cut down on your No │ 16│ 86│ 48│ +│ drinking? │ │ │ │ +├─────────────────────────────────────────────────────────┼───────┼───────┼────┤ +│D1. AGE: S3a. Male 27. During the last 12 Yes│ 16│ 86│ 38│ +│What is GENDER: months, has there been a │ │ │ │ +│your time when people criticized No │ 16│ 86│ 46│ +│age? your drinking? │ │ │ │ +│ ╶───────────────────────────────────────┼───────┼───────┼────┤ +│ Female 27. During the last 12 Yes│ 17│ 69│ 37│ +│ months, has there been a │ │ │ │ +│ time when people criticized No │ 16│ 86│ 48│ +│ your drinking? │ │ │ │ +╰─────────────────────────────────────────────────────────┴───────┴───────┴────╯ + + Custom Tables +╭──────────────────────────────────┬───────────────────────────────────────────╮ +│ │S1. Including yourself, how many members of│ +│ │ this household are age 16 or older? │ +│ ├──────┬───────┬──────┬──────┬───────┬──────┤ +│ │ │ │ │ │ │ 6 or │ +│ │ 1 │ 2 │ 3 │ 4 │ 5 │ more │ +│ ├──────┼───────┼──────┼──────┼───────┼──────┤ +│ │Column│ Column│Column│Column│ Column│Column│ +│ │ % │ % │ % │ % │ % │ % │ +├──────────────────────────────────┼──────┼───────┼──────┼──────┼───────┼──────┤ +│Sa1. RDD 105b. How Almost │ 9.5%│ 8.2%│ 12.4%│ 9.9%│ 20.0%│ 23.8%│ +│SAMPLE likely is it certain │ │ │ │ │ │ │ +│SOURCE: that drivers Very │ 24.9%│ 18.5%│ 24.0%│ 26.6%│ 25.5%│ 33.3%│ +│ who have had likely │ │ │ │ │ │ │ +│ too much to Somewhat│ 38.3%│ 41.9%│ 38.6%│ 37.5%│ 36.4%│ 23.8%│ +│ drink to likely │ │ │ │ │ │ │ +│ drive safely Somewhat│ 18.1%│ 21.7%│ 16.8%│ 16.7%│ 10.9%│ 9.5%│ +│ will A. Get unlikely│ │ │ │ │ │ │ +│ stopped by Very │ 9.2%│ 9.7%│ 8.2%│ 9.4%│ 7.3%│ 9.5%│ +│ the police? unlikely│ │ │ │ │ │ │ +╰──────────────────────────────────┴──────┴───────┴──────┴──────┴───────┴──────╯ + + Custom Tables +╭──────────────────────────────────────────────────────────────┬────┬──────────╮ +│ │ │ Std │ +│ │Mean│ Deviation│ +├──────────────────────────────────────────────────────────────┼────┼──────────┤ +│Age 16 to 25 20. On how many of the thirty days in this │ 5.2│ 6.0│ +│group typical month did you have one or more │ │ │ +│ alcoholic beverages to drink? │ │ │ +│ ╶───────────────────────────────────────────────────────┼────┼──────────┤ +│ 26 to 35 20. On how many of the thirty days in this │ 4.7│ 5.9│ +│ typical month did you have one or more │ │ │ +│ alcoholic beverages to drink? │ │ │ +│ ╶───────────────────────────────────────────────────────┼────┼──────────┤ +│ 36 to 45 20. On how many of the thirty days in this │ 5.5│ 6.8│ +│ typical month did you have one or more │ │ │ +│ alcoholic beverages to drink? │ │ │ +│ ╶───────────────────────────────────────────────────────┼────┼──────────┤ +│ 46 to 55 20. On how many of the thirty days in this │ 5.8│ 7.7│ +│ typical month did you have one or more │ │ │ +│ alcoholic beverages to drink? │ │ │ +│ ╶───────────────────────────────────────────────────────┼────┼──────────┤ +│ 56 to 65 20. On how many of the thirty days in this │ 6.3│ 8.2│ +│ typical month did you have one or more │ │ │ +│ alcoholic beverages to drink? │ │ │ +│ ╶───────────────────────────────────────────────────────┼────┼──────────┤ +│ 66 or 20. On how many of the thirty days in this │ 7.1│ 9.2│ +│ older typical month did you have one or more │ │ │ +│ alcoholic beverages to drink? │ │ │ +╰──────────────────────────────────────────────────────────────┴────┴──────────╯ +]) +AT_CLEANUP + + +AT_SETUP([CTABLES SLABELS]) +AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .]) +AT_DATA([ctables.sps], +[[GET 'nhtsa.sav'. +CTABLES /TABLE qn1 [COUNT COLPCT]. +CTABLES /TABLE qn1 [COUNT COLPCT] + /SLABELS POSITION=ROW. +CTABLES /TABLE qn1 [COUNT COLPCT] + /SLABELS POSITION=ROW VISIBLE=NO. +]]) +AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl + Custom Tables +╭────────────────────────────────────────────────────────────────┬─────┬───────╮ +│ │ │ Column│ +│ │Count│ % │ +├────────────────────────────────────────────────────────────────┼─────┼───────┤ +│ 1. How often do you usually drive a car or Every day │ 4667│ 66.9%│ +│other motor vehicle? Several days a week│ 1274│ 18.3%│ +│ Once a week or less│ 361│ 5.2%│ +│ Only certain times │ 130│ 1.9%│ +│ a year │ │ │ +│ Never │ 540│ 7.7%│ +╰────────────────────────────────────────────────────────────────┴─────┴───────╯ + + Custom Tables +╭────────────────────────────────────────────────────────────────────────┬─────╮ +│ 1. How often do you usually drive a car or Every day Count │ 4667│ +│other motor vehicle? Column │66.9%│ +│ % │ │ +│ ╶───────────────────────────┼─────┤ +│ Several days a week Count │ 1274│ +│ Column │18.3%│ +│ % │ │ +│ ╶───────────────────────────┼─────┤ +│ Once a week or less Count │ 361│ +│ Column │ 5.2%│ +│ % │ │ +│ ╶───────────────────────────┼─────┤ +│ Only certain times Count │ 130│ +│ a year Column │ 1.9%│ +│ % │ │ +│ ╶───────────────────────────┼─────┤ +│ Never Count │ 540│ +│ Column │ 7.7%│ +│ % │ │ +╰────────────────────────────────────────────────────────────────────────┴─────╯ + + Custom Tables +╭────────────────────────────────────────────────────────────────────────┬─────╮ +│ 1. How often do you usually drive a car or other Every day │ 4667│ +│motor vehicle? │66.9%│ +│ Several days a week │ 1274│ +│ │18.3%│ +│ Once a week or less │ 361│ +│ │ 5.2%│ +│ Only certain times a │ 130│ +│ year │ 1.9%│ +│ Never │ 540│ +│ │ 7.7%│ +╰────────────────────────────────────────────────────────────────────────┴─────╯ +]) +AT_CLEANUP