Overview

Dataset statistics

Number of variables16
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.8 KiB
Average record size in memory131.3 B

Variable types

Numeric1
Categorical15

Alerts

examin_begin_de has constant value ""Constant
clths_prchs_expndtr_price_vartion_expect_value is highly overall correlated with brdot_ct_expndtr_price_vartion_expect_value and 2 other fieldsHigh correlation
brdot_ct_expndtr_price_vartion_expect_value is highly overall correlated with clths_prchs_expndtr_price_vartion_expect_value and 4 other fieldsHigh correlation
tour_ct_expndtr_price_vartion_expect_value is highly overall correlated with clths_prchs_expndtr_price_vartion_expect_valueHigh correlation
edc_ct_expndtr_price_vartion_expect_value is highly overall correlated with brdot_ct_expndtr_price_vartion_expect_value and 2 other fieldsHigh correlation
mdlc_ct_expndtr_price_vartion_expect_value is highly overall correlated with brdot_ct_expndtr_price_vartion_expect_valueHigh correlation
cltur_hobby_ct_expndtr_price_vartion_expect_value is highly overall correlated with clths_prchs_expndtr_price_vartion_expect_value and 3 other fieldsHigh correlation
trnsport_commn_expndtr_price_vartion_expect_value is highly overall correlated with brdot_ct_expndtr_price_vartion_expect_value and 2 other fieldsHigh correlation
respond_id has unique valuesUnique

Reproduction

Analysis started2023-12-10 09:41:13.140761
Analysis finished2023-12-10 09:41:17.108020
Duration3.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

respond_id
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean318657.95
Minimum4065
Maximum1146802
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:41:17.303411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4065
5-th percentile30540.2
Q1219295.75
median340890
Q3409642.5
95-th percentile444638.25
Maximum1146802
Range1142737
Interquartile range (IQR)190346.75

Descriptive statistics

Standard deviation188980.78
Coefficient of variation (CV)0.59305216
Kurtosis6.722029
Mean318657.95
Median Absolute Deviation (MAD)80568
Skewness1.6487939
Sum31865795
Variance3.5713737 × 1010
MonotonicityNot monotonic
2023-12-10T18:41:17.706740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4065 1
 
1.0%
382667 1
 
1.0%
409280 1
 
1.0%
409165 1
 
1.0%
405917 1
 
1.0%
403174 1
 
1.0%
398652 1
 
1.0%
397295 1
 
1.0%
396550 1
 
1.0%
394487 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
4065 1
1.0%
9357 1
1.0%
12856 1
1.0%
18328 1
1.0%
27618 1
1.0%
30694 1
1.0%
37619 1
1.0%
47792 1
1.0%
50946 1
1.0%
69355 1
1.0%
ValueCountFrequency (%)
1146802 1
1.0%
1081578 1
1.0%
1034791 1
1.0%
444789 1
1.0%
444643 1
1.0%
444638 1
1.0%
444145 1
1.0%
443562 1
1.0%
443086 1
1.0%
442690 1
1.0%

examin_begin_de
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
20211103
100 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20211103
2nd row20211103
3rd row20211103
4th row20211103
5th row20211103

Common Values

ValueCountFrequency (%)
20211103 100
100.0%

Length

2023-12-10T18:41:17.956867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:41:18.099522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20211103 100
100.0%

sexdstn_flag_cd
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
F
53 
M
47 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM
2nd rowF
3rd rowF
4th rowM
5th rowM

Common Values

ValueCountFrequency (%)
F 53
53.0%
M 47
47.0%

Length

2023-12-10T18:41:18.276035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:41:18.431763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
f 53
53.0%
m 47
47.0%

agrde_flag_nm
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
20대
34 
30대
28 
50대
18 
40대
12 
60대
8 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row30대
2nd row20대
3rd row60대
4th row40대
5th row30대

Common Values

ValueCountFrequency (%)
20대 34
34.0%
30대 28
28.0%
50대 18
18.0%
40대 12
 
12.0%
60대 8
 
8.0%

Length

2023-12-10T18:41:18.599592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:41:18.769082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20대 34
34.0%
30대 28
28.0%
50대 18
18.0%
40대 12
 
12.0%
60대 8
 
8.0%

answrr_oc_area_nm
Categorical

Distinct17
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
서울특별시
25 
경기도
21 
인천광역시
10 
대구광역시
7 
부산광역시
5 
Other values (12)
32 

Length

Max length7
Median length5
Mean length4.38
Min length3

Unique

Unique4 ?
Unique (%)4.0%

Sample

1st row부산광역시
2nd row대전광역시
3rd row서울특별시
4th row서울특별시
5th row경기도

Common Values

ValueCountFrequency (%)
서울특별시 25
25.0%
경기도 21
21.0%
인천광역시 10
 
10.0%
대구광역시 7
 
7.0%
부산광역시 5
 
5.0%
전라북도 5
 
5.0%
경상북도 5
 
5.0%
충청북도 5
 
5.0%
대전광역시 4
 
4.0%
충청남도 3
 
3.0%
Other values (7) 10
 
10.0%

Length

2023-12-10T18:41:18.999892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 25
25.0%
경기도 21
21.0%
인천광역시 10
 
10.0%
대구광역시 7
 
7.0%
부산광역시 5
 
5.0%
전라북도 5
 
5.0%
경상북도 5
 
5.0%
충청북도 5
 
5.0%
대전광역시 4
 
4.0%
충청남도 3
 
3.0%
Other values (7) 10
 
10.0%

hshld_income_dgree_nm
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
200만원이하
43 
모름/무응답
27 
200만원초과400만원이하
22 
400만원초과700만원이하
8 

Length

Max length14
Median length7
Mean length8.83
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row400만원초과700만원이하
2nd row모름/무응답
3rd row200만원이하
4th row200만원초과400만원이하
5th row200만원초과400만원이하

Common Values

ValueCountFrequency (%)
200만원이하 43
43.0%
모름/무응답 27
27.0%
200만원초과400만원이하 22
22.0%
400만원초과700만원이하 8
 
8.0%

Length

2023-12-10T18:41:19.244778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:41:19.438555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
200만원이하 43
43.0%
모름/무응답 27
27.0%
200만원초과400만원이하 22
22.0%
400만원초과700만원이하 8
 
8.0%

labor_empmn_stle_nm
Categorical

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
정규직근로자
59 
비정규직/일용직근로자
15 
무직/퇴직
14 
사업자
 
5
학생
 
4

Length

Max length11
Median length6
Mean length6.24
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사업자
2nd row전업주부
3rd row전업주부
4th row정규직근로자
5th row정규직근로자

Common Values

ValueCountFrequency (%)
정규직근로자 59
59.0%
비정규직/일용직근로자 15
 
15.0%
무직/퇴직 14
 
14.0%
사업자 5
 
5.0%
학생 4
 
4.0%
전업주부 3
 
3.0%

Length

2023-12-10T18:41:19.659325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:41:19.837669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정규직근로자 59
59.0%
비정규직/일용직근로자 15
 
15.0%
무직/퇴직 14
 
14.0%
사업자 5
 
5.0%
학생 4
 
4.0%
전업주부 3
 
3.0%

drbgd_prchs_expndtr_price_vartion_expect_value
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
비슷할 것
45 
약간 줄어들 것
20 
많이 줄어들 것
19 
약간 늘어날 것
12 
많이 늘어날 것
 
4

Length

Max length8
Median length8
Mean length6.65
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row약간 늘어날 것
2nd row많이 줄어들 것
3rd row비슷할 것
4th row많이 줄어들 것
5th row비슷할 것

Common Values

ValueCountFrequency (%)
비슷할 것 45
45.0%
약간 줄어들 것 20
20.0%
많이 줄어들 것 19
19.0%
약간 늘어날 것 12
 
12.0%
많이 늘어날 것 4
 
4.0%

Length

2023-12-10T18:41:20.053376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:41:20.265464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
것 100
39.2%
비슷할 45
17.6%
줄어들 39
 
15.3%
약간 32
 
12.5%
많이 23
 
9.0%
늘어날 16
 
6.3%

clths_prchs_expndtr_price_vartion_expect_value
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
비슷할 것
52 
약간 줄어들 것
19 
많이 줄어들 것
15 
약간 늘어날 것
12 
많이 늘어날 것
 
2

Length

Max length8
Median length5
Mean length6.44
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row비슷할 것
2nd row많이 줄어들 것
3rd row비슷할 것
4th row약간 줄어들 것
5th row비슷할 것

Common Values

ValueCountFrequency (%)
비슷할 것 52
52.0%
약간 줄어들 것 19
 
19.0%
많이 줄어들 것 15
 
15.0%
약간 늘어날 것 12
 
12.0%
많이 늘어날 것 2
 
2.0%

Length

2023-12-10T18:41:20.565489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:41:20.759920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
것 100
40.3%
비슷할 52
21.0%
줄어들 34
 
13.7%
약간 31
 
12.5%
많이 17
 
6.9%
늘어날 14
 
5.6%

brdot_ct_expndtr_price_vartion_expect_value
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
비슷할 것
43 
약간 줄어들 것
23 
약간 늘어날 것
19 
많이 줄어들 것
14 
많이 늘어날 것
 
1

Length

Max length8
Median length8
Mean length6.71
Min length5

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row약간 줄어들 것
2nd row많이 줄어들 것
3rd row약간 늘어날 것
4th row약간 줄어들 것
5th row비슷할 것

Common Values

ValueCountFrequency (%)
비슷할 것 43
43.0%
약간 줄어들 것 23
23.0%
약간 늘어날 것 19
19.0%
많이 줄어들 것 14
 
14.0%
많이 늘어날 것 1
 
1.0%

Length

2023-12-10T18:41:21.022007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:41:21.308576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
것 100
38.9%
비슷할 43
16.7%
약간 42
16.3%
줄어들 37
 
14.4%
늘어날 20
 
7.8%
많이 15
 
5.8%

tour_ct_expndtr_price_vartion_expect_value
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
비슷할 것
35 
약간 늘어날 것
24 
많이 줄어들 것
21 
약간 줄어들 것
16 
많이 늘어날 것
4 

Length

Max length8
Median length8
Mean length6.95
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row약간 늘어날 것
2nd row많이 줄어들 것
3rd row약간 늘어날 것
4th row약간 줄어들 것
5th row비슷할 것

Common Values

ValueCountFrequency (%)
비슷할 것 35
35.0%
약간 늘어날 것 24
24.0%
많이 줄어들 것 21
21.0%
약간 줄어들 것 16
16.0%
많이 늘어날 것 4
 
4.0%

Length

2023-12-10T18:41:21.586345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:41:21.792175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
것 100
37.7%
약간 40
 
15.1%
줄어들 37
 
14.0%
비슷할 35
 
13.2%
늘어날 28
 
10.6%
많이 25
 
9.4%

edc_ct_expndtr_price_vartion_expect_value
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
비슷할 것
55 
약간 줄어들 것
23 
많이 줄어들 것
17 
약간 늘어날 것
 
4
많이 늘어날 것
 
1

Length

Max length8
Median length5
Mean length6.35
Min length5

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row비슷할 것
2nd row많이 줄어들 것
3rd row비슷할 것
4th row비슷할 것
5th row비슷할 것

Common Values

ValueCountFrequency (%)
비슷할 것 55
55.0%
약간 줄어들 것 23
23.0%
많이 줄어들 것 17
 
17.0%
약간 늘어날 것 4
 
4.0%
많이 늘어날 것 1
 
1.0%

Length

2023-12-10T18:41:22.050461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:41:22.298202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
것 100
40.8%
비슷할 55
22.4%
줄어들 40
 
16.3%
약간 27
 
11.0%
많이 18
 
7.3%
늘어날 5
 
2.0%

mdlc_ct_expndtr_price_vartion_expect_value
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
비슷할 것
57 
약간 줄어들 것
19 
약간 늘어날 것
12 
많이 줄어들 것
10 
많이 늘어날 것
 
2

Length

Max length8
Median length5
Mean length6.29
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row약간 줄어들 것
2nd row많이 줄어들 것
3rd row비슷할 것
4th row비슷할 것
5th row비슷할 것

Common Values

ValueCountFrequency (%)
비슷할 것 57
57.0%
약간 줄어들 것 19
 
19.0%
약간 늘어날 것 12
 
12.0%
많이 줄어들 것 10
 
10.0%
많이 늘어날 것 2
 
2.0%

Length

2023-12-10T18:41:22.589891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:41:22.841185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
것 100
41.2%
비슷할 57
23.5%
약간 31
 
12.8%
줄어들 29
 
11.9%
늘어날 14
 
5.8%
많이 12
 
4.9%

cltur_hobby_ct_expndtr_price_vartion_expect_value
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
비슷할 것
43 
약간 줄어들 것
22 
약간 늘어날 것
19 
많이 줄어들 것
15 
많이 늘어날 것
 
1

Length

Max length8
Median length8
Mean length6.71
Min length5

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row비슷할 것
2nd row많이 줄어들 것
3rd row약간 늘어날 것
4th row비슷할 것
5th row비슷할 것

Common Values

ValueCountFrequency (%)
비슷할 것 43
43.0%
약간 줄어들 것 22
22.0%
약간 늘어날 것 19
19.0%
많이 줄어들 것 15
 
15.0%
많이 늘어날 것 1
 
1.0%

Length

2023-12-10T18:41:23.085123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:41:23.283839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
것 100
38.9%
비슷할 43
16.7%
약간 41
16.0%
줄어들 37
 
14.4%
늘어날 20
 
7.8%
많이 16
 
6.2%

trnsport_commn_expndtr_price_vartion_expect_value
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
비슷할 것
66 
약간 줄어들 것
14 
약간 늘어날 것
10 
많이 줄어들 것
9 
많이 늘어날 것
 
1

Length

Max length8
Median length5
Mean length6.02
Min length5

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row비슷할 것
2nd row많이 줄어들 것
3rd row약간 줄어들 것
4th row약간 줄어들 것
5th row비슷할 것

Common Values

ValueCountFrequency (%)
비슷할 것 66
66.0%
약간 줄어들 것 14
 
14.0%
약간 늘어날 것 10
 
10.0%
많이 줄어들 것 9
 
9.0%
많이 늘어날 것 1
 
1.0%

Length

2023-12-10T18:41:23.523242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:41:23.699036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
것 100
42.7%
비슷할 66
28.2%
약간 24
 
10.3%
줄어들 23
 
9.8%
늘어날 11
 
4.7%
많이 10
 
4.3%

reside_ct_expndtr_price_vartion_expect_value
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
비슷할 것
64 
약간 줄어들 것
17 
약간 늘어날 것
7 
많이 줄어들 것
 
6
많이 늘어날 것
 
6

Length

Max length8
Median length5
Mean length6.08
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row많이 줄어들 것
2nd row많이 줄어들 것
3rd row비슷할 것
4th row비슷할 것
5th row비슷할 것

Common Values

ValueCountFrequency (%)
비슷할 것 64
64.0%
약간 줄어들 것 17
 
17.0%
약간 늘어날 것 7
 
7.0%
많이 줄어들 것 6
 
6.0%
많이 늘어날 것 6
 
6.0%

Length

2023-12-10T18:41:23.898584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:41:24.091291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
것 100
42.4%
비슷할 64
27.1%
약간 24
 
10.2%
줄어들 23
 
9.7%
늘어날 13
 
5.5%
많이 12
 
5.1%

Interactions

2023-12-10T18:41:16.141480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T18:41:24.251688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
respond_idsexdstn_flag_cdagrde_flag_nmanswrr_oc_area_nmhshld_income_dgree_nmlabor_empmn_stle_nmdrbgd_prchs_expndtr_price_vartion_expect_valueclths_prchs_expndtr_price_vartion_expect_valuebrdot_ct_expndtr_price_vartion_expect_valuetour_ct_expndtr_price_vartion_expect_valueedc_ct_expndtr_price_vartion_expect_valuemdlc_ct_expndtr_price_vartion_expect_valuecltur_hobby_ct_expndtr_price_vartion_expect_valuetrnsport_commn_expndtr_price_vartion_expect_valuereside_ct_expndtr_price_vartion_expect_value
respond_id1.0000.1380.5370.0000.0740.0000.4480.0000.0000.0000.2010.0000.3070.0000.533
sexdstn_flag_cd0.1381.0000.2260.0000.0000.1930.0000.0000.0000.0000.0000.0000.1870.0000.142
agrde_flag_nm0.5370.2261.0000.2060.1860.2660.0000.0000.0000.0000.2820.3290.0000.0000.072
answrr_oc_area_nm0.0000.0000.2061.0000.1960.2390.0000.2800.0000.0000.3630.1240.0000.3250.000
hshld_income_dgree_nm0.0740.0000.1860.1961.0000.5060.0000.0000.1840.0000.0320.0000.0000.1020.060
labor_empmn_stle_nm0.0000.1930.2660.2390.5061.0000.1830.0980.1470.1560.2380.0000.0000.1740.207
drbgd_prchs_expndtr_price_vartion_expect_value0.4480.0000.0000.0000.0000.1831.0000.7920.7860.8000.7860.8160.8220.8050.860
clths_prchs_expndtr_price_vartion_expect_value0.0000.0000.0000.2800.0000.0980.7921.0000.8980.8690.8440.7720.8890.8570.616
brdot_ct_expndtr_price_vartion_expect_value0.0000.0000.0000.0000.1840.1470.7860.8981.0000.8490.9090.8780.9430.9360.678
tour_ct_expndtr_price_vartion_expect_value0.0000.0000.0000.0000.0000.1560.8000.8690.8491.0000.8010.7180.8150.7770.487
edc_ct_expndtr_price_vartion_expect_value0.2010.0000.2820.3630.0320.2380.7860.8440.9090.8011.0000.8020.9100.9020.594
mdlc_ct_expndtr_price_vartion_expect_value0.0000.0000.3290.1240.0000.0000.8160.7720.8780.7180.8021.0000.8560.8190.792
cltur_hobby_ct_expndtr_price_vartion_expect_value0.3070.1870.0000.0000.0000.0000.8220.8890.9430.8150.9100.8561.0000.9230.738
trnsport_commn_expndtr_price_vartion_expect_value0.0000.0000.0000.3250.1020.1740.8050.8570.9360.7770.9020.8190.9231.0000.464
reside_ct_expndtr_price_vartion_expect_value0.5330.1420.0720.0000.0600.2070.8600.6160.6780.4870.5940.7920.7380.4641.000
2023-12-10T18:41:24.612976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
drbgd_prchs_expndtr_price_vartion_expect_valueanswrr_oc_area_nmagrde_flag_nmcltur_hobby_ct_expndtr_price_vartion_expect_valuelabor_empmn_stle_nmtrnsport_commn_expndtr_price_vartion_expect_valuesexdstn_flag_cdmdlc_ct_expndtr_price_vartion_expect_valuereside_ct_expndtr_price_vartion_expect_valueedc_ct_expndtr_price_vartion_expect_valueclths_prchs_expndtr_price_vartion_expect_valuehshld_income_dgree_nmtour_ct_expndtr_price_vartion_expect_valuebrdot_ct_expndtr_price_vartion_expect_value
drbgd_prchs_expndtr_price_vartion_expect_value1.0000.0000.0000.4490.1220.4280.0000.4420.5000.4080.4140.0000.4230.407
answrr_oc_area_nm0.0001.0000.0920.0000.0990.1570.0000.0440.0000.1790.1320.0940.0000.000
agrde_flag_nm0.0000.0921.0000.0000.1810.0000.2720.1260.0180.1060.0000.1500.0000.000
cltur_hobby_ct_expndtr_price_vartion_expect_value0.4490.0000.0001.0000.0000.6150.2250.4940.3610.5880.5480.0000.4400.664
labor_empmn_stle_nm0.1220.0990.1810.0001.0000.1150.1340.0000.1390.1610.0620.3460.1030.097
trnsport_commn_expndtr_price_vartion_expect_value0.4280.1570.0000.6150.1151.0000.0000.4450.1870.5710.4960.0800.3980.646
sexdstn_flag_cd0.0000.0000.2720.2250.1340.0001.0000.0000.1690.0000.0000.0000.0000.000
mdlc_ct_expndtr_price_vartion_expect_value0.4420.0440.1260.4940.0000.4450.0001.0000.4140.4250.3930.0000.3440.529
reside_ct_expndtr_price_vartion_expect_value0.5000.0000.0180.3610.1390.1870.1690.4141.0000.2570.2700.0440.1980.313
edc_ct_expndtr_price_vartion_expect_value0.4080.1790.1060.5880.1610.5710.0000.4250.2571.0000.4770.0170.4240.586
clths_prchs_expndtr_price_vartion_expect_value0.4140.1320.0000.5480.0620.4960.0000.3930.2700.4771.0000.0000.5150.564
hshld_income_dgree_nm0.0000.0940.1500.0000.3460.0800.0000.0000.0440.0170.0001.0000.0000.149
tour_ct_expndtr_price_vartion_expect_value0.4230.0000.0000.4400.1030.3980.0000.3440.1980.4240.5150.0001.0000.484
brdot_ct_expndtr_price_vartion_expect_value0.4070.0000.0000.6640.0970.6460.0000.5290.3130.5860.5640.1490.4841.000
2023-12-10T18:41:25.381865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
respond_idsexdstn_flag_cdagrde_flag_nmanswrr_oc_area_nmhshld_income_dgree_nmlabor_empmn_stle_nmdrbgd_prchs_expndtr_price_vartion_expect_valueclths_prchs_expndtr_price_vartion_expect_valuebrdot_ct_expndtr_price_vartion_expect_valuetour_ct_expndtr_price_vartion_expect_valueedc_ct_expndtr_price_vartion_expect_valuemdlc_ct_expndtr_price_vartion_expect_valuecltur_hobby_ct_expndtr_price_vartion_expect_valuetrnsport_commn_expndtr_price_vartion_expect_valuereside_ct_expndtr_price_vartion_expect_value
respond_id1.0000.1700.2210.0000.0570.0000.1760.0000.0000.0250.0850.0000.1180.0000.215
sexdstn_flag_cd0.1701.0000.2720.0000.0000.1340.0000.0000.0000.0000.0000.0000.2250.0000.169
agrde_flag_nm0.2210.2721.0000.0920.1500.1810.0000.0000.0000.0000.1060.1260.0000.0000.018
answrr_oc_area_nm0.0000.0000.0921.0000.0940.0990.0000.1320.0000.0000.1790.0440.0000.1570.000
hshld_income_dgree_nm0.0570.0000.1500.0941.0000.3460.0000.0000.1490.0000.0170.0000.0000.0800.044
labor_empmn_stle_nm0.0000.1340.1810.0990.3461.0000.1220.0620.0970.1030.1610.0000.0000.1150.139
drbgd_prchs_expndtr_price_vartion_expect_value0.1760.0000.0000.0000.0000.1221.0000.4140.4070.4230.4080.4420.4490.4280.500
clths_prchs_expndtr_price_vartion_expect_value0.0000.0000.0000.1320.0000.0620.4141.0000.5640.5150.4770.3930.5480.4960.270
brdot_ct_expndtr_price_vartion_expect_value0.0000.0000.0000.0000.1490.0970.4070.5641.0000.4840.5860.5290.6640.6460.313
tour_ct_expndtr_price_vartion_expect_value0.0250.0000.0000.0000.0000.1030.4230.5150.4841.0000.4240.3440.4400.3980.198
edc_ct_expndtr_price_vartion_expect_value0.0850.0000.1060.1790.0170.1610.4080.4770.5860.4241.0000.4250.5880.5710.257
mdlc_ct_expndtr_price_vartion_expect_value0.0000.0000.1260.0440.0000.0000.4420.3930.5290.3440.4251.0000.4940.4450.414
cltur_hobby_ct_expndtr_price_vartion_expect_value0.1180.2250.0000.0000.0000.0000.4490.5480.6640.4400.5880.4941.0000.6150.361
trnsport_commn_expndtr_price_vartion_expect_value0.0000.0000.0000.1570.0800.1150.4280.4960.6460.3980.5710.4450.6151.0000.187
reside_ct_expndtr_price_vartion_expect_value0.2150.1690.0180.0000.0440.1390.5000.2700.3130.1980.2570.4140.3610.1871.000

Missing values

2023-12-10T18:41:16.531707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T18:41:16.941703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

respond_idexamin_begin_desexdstn_flag_cdagrde_flag_nmanswrr_oc_area_nmhshld_income_dgree_nmlabor_empmn_stle_nmdrbgd_prchs_expndtr_price_vartion_expect_valueclths_prchs_expndtr_price_vartion_expect_valuebrdot_ct_expndtr_price_vartion_expect_valuetour_ct_expndtr_price_vartion_expect_valueedc_ct_expndtr_price_vartion_expect_valuemdlc_ct_expndtr_price_vartion_expect_valuecltur_hobby_ct_expndtr_price_vartion_expect_valuetrnsport_commn_expndtr_price_vartion_expect_valuereside_ct_expndtr_price_vartion_expect_value
0406520211103M30대부산광역시400만원초과700만원이하사업자약간 늘어날 것비슷할 것약간 줄어들 것약간 늘어날 것비슷할 것약간 줄어들 것비슷할 것비슷할 것많이 줄어들 것
142049420211103F20대대전광역시모름/무응답전업주부많이 줄어들 것많이 줄어들 것많이 줄어들 것많이 줄어들 것많이 줄어들 것많이 줄어들 것많이 줄어들 것많이 줄어들 것많이 줄어들 것
2935720211103F60대서울특별시200만원이하전업주부비슷할 것비슷할 것약간 늘어날 것약간 늘어날 것비슷할 것비슷할 것약간 늘어날 것약간 줄어들 것비슷할 것
31285620211103M40대서울특별시200만원초과400만원이하정규직근로자많이 줄어들 것약간 줄어들 것약간 줄어들 것약간 줄어들 것비슷할 것비슷할 것비슷할 것약간 줄어들 것비슷할 것
41832820211103M30대경기도200만원초과400만원이하정규직근로자비슷할 것비슷할 것비슷할 것비슷할 것비슷할 것비슷할 것비슷할 것비슷할 것비슷할 것
52761820211103M50대대전광역시200만원이하정규직근로자비슷할 것약간 줄어들 것약간 줄어들 것약간 줄어들 것약간 줄어들 것약간 늘어날 것비슷할 것비슷할 것약간 줄어들 것
63069420211103F30대서울특별시200만원이하정규직근로자비슷할 것비슷할 것약간 늘어날 것비슷할 것비슷할 것약간 줄어들 것약간 늘어날 것약간 늘어날 것비슷할 것
736567320211103M20대서울특별시200만원이하무직/퇴직약간 줄어들 것많이 줄어들 것많이 줄어들 것많이 줄어들 것비슷할 것비슷할 것비슷할 것약간 줄어들 것비슷할 것
83761920211103F60대인천광역시400만원초과700만원이하정규직근로자약간 줄어들 것비슷할 것비슷할 것약간 줄어들 것비슷할 것약간 늘어날 것약간 늘어날 것비슷할 것비슷할 것
94779220211103M40대부산광역시모름/무응답정규직근로자비슷할 것비슷할 것비슷할 것비슷할 것비슷할 것비슷할 것비슷할 것비슷할 것비슷할 것
respond_idexamin_begin_desexdstn_flag_cdagrde_flag_nmanswrr_oc_area_nmhshld_income_dgree_nmlabor_empmn_stle_nmdrbgd_prchs_expndtr_price_vartion_expect_valueclths_prchs_expndtr_price_vartion_expect_valuebrdot_ct_expndtr_price_vartion_expect_valuetour_ct_expndtr_price_vartion_expect_valueedc_ct_expndtr_price_vartion_expect_valuemdlc_ct_expndtr_price_vartion_expect_valuecltur_hobby_ct_expndtr_price_vartion_expect_valuetrnsport_commn_expndtr_price_vartion_expect_valuereside_ct_expndtr_price_vartion_expect_value
9044269020211103M20대대구광역시200만원초과400만원이하정규직근로자비슷할 것비슷할 것비슷할 것비슷할 것약간 늘어날 것약간 늘어날 것비슷할 것비슷할 것비슷할 것
9144308620211103M20대경기도200만원이하정규직근로자비슷할 것비슷할 것비슷할 것약간 늘어날 것비슷할 것약간 줄어들 것비슷할 것비슷할 것비슷할 것
9244356220211103F20대대전광역시모름/무응답무직/퇴직비슷할 것비슷할 것비슷할 것비슷할 것비슷할 것비슷할 것비슷할 것비슷할 것비슷할 것
9344414520211103F20대경기도200만원이하정규직근로자약간 늘어날 것비슷할 것비슷할 것약간 늘어날 것약간 줄어들 것비슷할 것약간 늘어날 것비슷할 것비슷할 것
9444463820211103F20대경상북도모름/무응답비정규직/일용직근로자많이 늘어날 것많이 늘어날 것많이 늘어날 것많이 늘어날 것많이 늘어날 것많이 늘어날 것많이 늘어날 것많이 늘어날 것많이 늘어날 것
9544464320211103M20대대구광역시모름/무응답학생많이 줄어들 것많이 줄어들 것많이 줄어들 것많이 줄어들 것약간 줄어들 것많이 줄어들 것많이 줄어들 것약간 늘어날 것많이 줄어들 것
9644478920211103M20대서울특별시200만원이하정규직근로자약간 줄어들 것비슷할 것비슷할 것비슷할 것비슷할 것비슷할 것비슷할 것비슷할 것약간 줄어들 것
97103479120211103F30대서울특별시200만원이하정규직근로자많이 줄어들 것많이 줄어들 것많이 줄어들 것많이 줄어들 것많이 줄어들 것많이 줄어들 것많이 줄어들 것많이 줄어들 것많이 늘어날 것
98108157820211103F30대서울특별시200만원초과400만원이하정규직근로자많이 늘어날 것약간 늘어날 것비슷할 것약간 늘어날 것약간 줄어들 것약간 줄어들 것많이 줄어들 것비슷할 것많이 늘어날 것
99114680220211103F30대경기도200만원초과400만원이하정규직근로자많이 줄어들 것약간 줄어들 것약간 줄어들 것많이 줄어들 것약간 줄어들 것비슷할 것약간 줄어들 것약간 줄어들 것비슷할 것