Overview

Dataset statistics

Number of variables9
Number of observations51
Missing cells2
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory82.6 B

Variable types

Categorical2
Numeric7

Dataset

Description- 시도별로 희망하는 평일 여가 시간 통계를 제공합니다. - 항목(3시간 미만, 3~5시간 미만, 5~7시간 미만, 9시간 이상)별 비율이 의미하는 것은 표본 수 중 해당 항목에 응답한 사람의 비율입니다. - 데이터 제공처: KOSIS 국가통계포털
Author제주특별자치도 미래성장과
URLhttps://www.jejudatahub.net/data/view/data/1041

Alerts

표본 수(명) is highly overall correlated with 시도High correlation
3시간 미만(%) is highly overall correlated with 5~7시간 미만(%) and 1 other fieldsHigh correlation
3~5시간 미만(%) is highly overall correlated with 5~7시간 미만(%) and 2 other fieldsHigh correlation
5~7시간 미만(%) is highly overall correlated with 3시간 미만(%) and 2 other fieldsHigh correlation
7~9시간 미만(%) is highly overall correlated with 3~5시간 미만(%) and 2 other fieldsHigh correlation
9시간 이상(%) is highly overall correlated with 7~9시간 미만(%) and 1 other fieldsHigh correlation
평균(시간) is highly overall correlated with 3시간 미만(%) and 4 other fieldsHigh correlation
시도 is highly overall correlated with 표본 수(명)High correlation
3시간 미만(%) has 1 (2.0%) missing valuesMissing
9시간 이상(%) has 1 (2.0%) missing valuesMissing
9시간 이상(%) has 1 (2.0%) zerosZeros

Reproduction

Analysis started2023-12-11 20:15:06.594098
Analysis finished2023-12-11 20:15:11.106001
Duration4.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준 연도
Categorical

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
2018
17 
2019
17 
2020
17 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018
2nd row2018
3rd row2018
4th row2018
5th row2018

Common Values

ValueCountFrequency (%)
2018 17
33.3%
2019 17
33.3%
2020 17
33.3%

Length

2023-12-12T05:15:11.160546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:15:11.396717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018 17
33.3%
2019 17
33.3%
2020 17
33.3%

시도
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size540.0 B
서울
 
3
부산
 
3
대구
 
3
인천
 
3
광주
 
3
Other values (12)
36 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울
2nd row부산
3rd row대구
4th row인천
5th row광주

Common Values

ValueCountFrequency (%)
서울 3
 
5.9%
부산 3
 
5.9%
대구 3
 
5.9%
인천 3
 
5.9%
광주 3
 
5.9%
대전 3
 
5.9%
울산 3
 
5.9%
세종 3
 
5.9%
경기 3
 
5.9%
강원 3
 
5.9%
Other values (7) 21
41.2%

Length

2023-12-12T05:15:11.616843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울 3
 
5.9%
강원 3
 
5.9%
경남 3
 
5.9%
경북 3
 
5.9%
전남 3
 
5.9%
전북 3
 
5.9%
충남 3
 
5.9%
충북 3
 
5.9%
경기 3
 
5.9%
부산 3
 
5.9%
Other values (7) 21
41.2%

표본 수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct49
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean600.90196
Minimum61
Maximum2408
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-12T05:15:11.828503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61
5-th percentile195
Q1390.5
median500
Q3652
95-th percentile1334.5
Maximum2408
Range2347
Interquartile range (IQR)261.5

Descriptive statistics

Standard deviation419.51545
Coefficient of variation (CV)0.69814292
Kurtosis7.6687193
Mean600.90196
Median Absolute Deviation (MAD)140
Skewness2.4869544
Sum30646
Variance175993.21
MonotonicityNot monotonic
2023-12-12T05:15:12.073520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
475 2
 
3.9%
463 2
 
3.9%
1220 1
 
2.0%
303 1
 
2.0%
500 1
 
2.0%
611 1
 
2.0%
682 1
 
2.0%
302 1
 
2.0%
1931 1
 
2.0%
681 1
 
2.0%
Other values (39) 39
76.5%
ValueCountFrequency (%)
61 1
2.0%
120 1
2.0%
189 1
2.0%
201 1
2.0%
221 1
2.0%
294 1
2.0%
302 1
2.0%
303 1
2.0%
308 1
2.0%
320 1
2.0%
ValueCountFrequency (%)
2408 1
2.0%
1931 1
2.0%
1344 1
2.0%
1325 1
2.0%
1220 1
2.0%
1191 1
2.0%
734 1
2.0%
713 1
2.0%
693 1
2.0%
682 1
2.0%

3시간 미만(%)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct49
Distinct (%)98.0%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean14.048
Minimum0.3
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-12T05:15:12.256411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile1.425
Q15.6
median14.1
Q319.1
95-th percentile28.585
Maximum48
Range47.7
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation9.5875395
Coefficient of variation (CV)0.68248431
Kurtosis1.8083731
Mean14.048
Median Absolute Deviation (MAD)6.4
Skewness0.96087597
Sum702.4
Variance91.920914
MonotonicityNot monotonic
2023-12-12T05:15:12.384924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1.2 2
 
3.9%
17.1 1
 
2.0%
10.5 1
 
2.0%
16.2 1
 
2.0%
8.2 1
 
2.0%
12.1 1
 
2.0%
18.8 1
 
2.0%
5.3 1
 
2.0%
48.0 1
 
2.0%
13.4 1
 
2.0%
Other values (39) 39
76.5%
ValueCountFrequency (%)
0.3 1
2.0%
1.2 2
3.9%
1.7 1
2.0%
1.8 1
2.0%
3.1 1
2.0%
3.2 1
2.0%
3.8 1
2.0%
4.4 1
2.0%
4.7 1
2.0%
4.9 1
2.0%
ValueCountFrequency (%)
48.0 1
2.0%
32.5 1
2.0%
28.9 1
2.0%
28.2 1
2.0%
26.4 1
2.0%
25.7 1
2.0%
25.4 1
2.0%
23.9 1
2.0%
22.7 1
2.0%
21.5 1
2.0%

3~5시간 미만(%)
Real number (ℝ)

HIGH CORRELATION 

Distinct48
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.976471
Minimum20.9
Maximum67.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-12T05:15:12.505927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.9
5-th percentile22.95
Q135.45
median46.3
Q353.15
95-th percentile61.25
Maximum67.2
Range46.3
Interquartile range (IQR)17.7

Descriptive statistics

Standard deviation12.123079
Coefficient of variation (CV)0.27567193
Kurtosis-0.84728522
Mean43.976471
Median Absolute Deviation (MAD)8.7
Skewness-0.13866235
Sum2242.8
Variance146.96904
MonotonicityNot monotonic
2023-12-12T05:15:12.632727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
46.4 2
 
3.9%
55.0 2
 
3.9%
60.5 2
 
3.9%
47.7 1
 
2.0%
42.7 1
 
2.0%
29.1 1
 
2.0%
39.2 1
 
2.0%
21.5 1
 
2.0%
41.1 1
 
2.0%
50.6 1
 
2.0%
Other values (38) 38
74.5%
ValueCountFrequency (%)
20.9 1
2.0%
21.4 1
2.0%
21.5 1
2.0%
24.4 1
2.0%
26.6 1
2.0%
28.9 1
2.0%
29.1 1
2.0%
29.3 1
2.0%
30.9 1
2.0%
31.9 1
2.0%
ValueCountFrequency (%)
67.2 1
2.0%
63.4 1
2.0%
61.4 1
2.0%
61.1 1
2.0%
60.6 1
2.0%
60.5 2
3.9%
57.2 1
2.0%
56.6 1
2.0%
55.0 2
3.9%
53.8 1
2.0%

5~7시간 미만(%)
Real number (ℝ)

HIGH CORRELATION 

Distinct46
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.743137
Minimum10.7
Maximum58.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-12T05:15:12.762856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.7
5-th percentile15.3
Q124.15
median29.2
Q337.25
95-th percentile51.85
Maximum58.1
Range47.4
Interquartile range (IQR)13.1

Descriptive statistics

Standard deviation11.438711
Coefficient of variation (CV)0.36035224
Kurtosis-0.29821752
Mean31.743137
Median Absolute Deviation (MAD)5.4
Skewness0.50639158
Sum1618.9
Variance130.8441
MonotonicityNot monotonic
2023-12-12T05:15:12.913544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
47.2 2
 
3.9%
32.5 2
 
3.9%
43.9 2
 
3.9%
31.5 2
 
3.9%
29.2 2
 
3.9%
28.6 1
 
2.0%
24.3 1
 
2.0%
27.7 1
 
2.0%
47.4 1
 
2.0%
10.7 1
 
2.0%
Other values (36) 36
70.6%
ValueCountFrequency (%)
10.7 1
2.0%
12.4 1
2.0%
14.9 1
2.0%
15.7 1
2.0%
16.4 1
2.0%
18.5 1
2.0%
19.3 1
2.0%
21.1 1
2.0%
21.8 1
2.0%
22.7 1
2.0%
ValueCountFrequency (%)
58.1 1
2.0%
54.9 1
2.0%
52.1 1
2.0%
51.6 1
2.0%
50.9 1
2.0%
49.2 1
2.0%
47.4 1
2.0%
47.2 2
3.9%
43.9 2
3.9%
40.6 1
2.0%

7~9시간 미만(%)
Real number (ℝ)

HIGH CORRELATION 

Distinct43
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3941176
Minimum0.2
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-12T05:15:13.070762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.9
Q12.85
median4.9
Q311.45
95-th percentile17
Maximum25
Range24.8
Interquartile range (IQR)8.6

Descriptive statistics

Standard deviation5.9509465
Coefficient of variation (CV)0.80482173
Kurtosis0.59924713
Mean7.3941176
Median Absolute Deviation (MAD)2.9
Skewness1.0470448
Sum377.1
Variance35.413765
MonotonicityNot monotonic
2023-12-12T05:15:13.202063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
2.9 3
 
5.9%
6.2 2
 
3.9%
2.0 2
 
3.9%
4.3 2
 
3.9%
14.3 2
 
3.9%
4.1 2
 
3.9%
2.8 2
 
3.9%
4.9 1
 
2.0%
13.4 1
 
2.0%
15.4 1
 
2.0%
Other values (33) 33
64.7%
ValueCountFrequency (%)
0.2 1
2.0%
0.5 1
2.0%
0.8 1
2.0%
1.0 1
2.0%
1.6 1
2.0%
1.7 1
2.0%
2.0 2
3.9%
2.2 1
2.0%
2.3 1
2.0%
2.7 1
2.0%
ValueCountFrequency (%)
25.0 1
2.0%
23.2 1
2.0%
17.8 1
2.0%
16.2 1
2.0%
15.4 1
2.0%
14.6 1
2.0%
14.3 2
3.9%
13.6 1
2.0%
13.4 1
2.0%
12.7 1
2.0%

9시간 이상(%)
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct38
Distinct (%)76.0%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean3.176
Minimum0
Maximum15.3
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-12T05:15:13.318808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q11.125
median2.15
Q33.5
95-th percentile10.915
Maximum15.3
Range15.3
Interquartile range (IQR)2.375

Descriptive statistics

Standard deviation3.3797452
Coefficient of variation (CV)1.0641515
Kurtosis4.3604141
Mean3.176
Median Absolute Deviation (MAD)1.05
Skewness2.0943561
Sum158.8
Variance11.422678
MonotonicityNot monotonic
2023-12-12T05:15:13.441558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.8 3
 
5.9%
2.2 3
 
5.9%
3.1 2
 
3.9%
2.1 2
 
3.9%
2.4 2
 
3.9%
0.3 2
 
3.9%
2.6 2
 
3.9%
1.4 2
 
3.9%
1.1 2
 
3.9%
1.6 2
 
3.9%
Other values (28) 28
54.9%
ValueCountFrequency (%)
0.0 1
 
2.0%
0.1 1
 
2.0%
0.3 2
3.9%
0.4 1
 
2.0%
0.6 1
 
2.0%
0.7 1
 
2.0%
0.8 3
5.9%
0.9 1
 
2.0%
1.1 2
3.9%
1.2 1
 
2.0%
ValueCountFrequency (%)
15.3 1
2.0%
13.4 1
2.0%
12.4 1
2.0%
9.1 1
2.0%
8.2 1
2.0%
7.0 1
2.0%
6.0 1
2.0%
5.9 1
2.0%
5.2 1
2.0%
5.1 1
2.0%

평균(시간)
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)45.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3803922
Minimum2.8
Maximum5.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-12T05:15:13.779001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.45
Q13.9
median4.3
Q34.75
95-th percentile5.6
Maximum5.9
Range3.1
Interquartile range (IQR)0.85

Descriptive statistics

Standard deviation0.67112431
Coefficient of variation (CV)0.15321101
Kurtosis-0.20602534
Mean4.3803922
Median Absolute Deviation (MAD)0.4
Skewness0.30128984
Sum223.4
Variance0.45040784
MonotonicityNot monotonic
2023-12-12T05:15:13.885852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3.9 4
 
7.8%
4.4 4
 
7.8%
5.2 4
 
7.8%
4.1 4
 
7.8%
4.0 4
 
7.8%
4.5 4
 
7.8%
3.8 3
 
5.9%
4.7 2
 
3.9%
4.3 2
 
3.9%
5.0 2
 
3.9%
Other values (13) 18
35.3%
ValueCountFrequency (%)
2.8 1
 
2.0%
3.4 2
3.9%
3.5 2
3.9%
3.6 1
 
2.0%
3.7 1
 
2.0%
3.8 3
5.9%
3.9 4
7.8%
4.0 4
7.8%
4.1 4
7.8%
4.2 2
3.9%
ValueCountFrequency (%)
5.9 1
 
2.0%
5.7 1
 
2.0%
5.6 2
3.9%
5.4 1
 
2.0%
5.2 4
7.8%
5.1 1
 
2.0%
5.0 2
3.9%
4.8 1
 
2.0%
4.7 2
3.9%
4.6 2
3.9%

Interactions

2023-12-12T05:15:10.319615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:06.876764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:07.331639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:07.811016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:08.301170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:08.885569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:09.641594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:10.389836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:06.940987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:07.391986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:07.874234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:08.377155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:09.188422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:09.737910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:10.457190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:07.004401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:07.454293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:07.941602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:08.443108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:09.265034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:09.841918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:10.522122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:07.067230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:07.516059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:08.002597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:08.520961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:09.339411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:09.918650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:10.589121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:07.129220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:07.593608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:08.066581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:08.595986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:09.411062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:10.000896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:10.665677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:07.194291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:07.669158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:08.135524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:08.671821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:09.485379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:10.115399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:10.746109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:07.261081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:07.739074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:08.215253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:08.799509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:09.564589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:15:10.235878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T05:15:13.976117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준 연도시도표본 수(명)3시간 미만(%)3~5시간 미만(%)5~7시간 미만(%)7~9시간 미만(%)9시간 이상(%)평균(시간)
기준 연도1.0000.0000.0000.0000.6160.0000.5240.0000.000
시도0.0001.0000.8410.0000.5600.4230.5060.6680.477
표본 수(명)0.0000.8411.0000.0000.0000.0000.0000.0000.000
3시간 미만(%)0.0000.0000.0001.0000.0000.5720.0000.0000.700
3~5시간 미만(%)0.6160.5600.0000.0001.0000.6630.3560.4890.730
5~7시간 미만(%)0.0000.4230.0000.5720.6631.0000.2230.0840.639
7~9시간 미만(%)0.5240.5060.0000.0000.3560.2231.0000.5050.771
9시간 이상(%)0.0000.6680.0000.0000.4890.0840.5051.0000.543
평균(시간)0.0000.4770.0000.7000.7300.6390.7710.5431.000
2023-12-12T05:15:14.082240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준 연도시도
기준 연도1.0000.000
시도0.0001.000
2023-12-12T05:15:14.165007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
표본 수(명)3시간 미만(%)3~5시간 미만(%)5~7시간 미만(%)7~9시간 미만(%)9시간 이상(%)평균(시간)기준 연도시도
표본 수(명)1.000-0.052-0.0400.167-0.0380.0310.0360.0000.511
3시간 미만(%)-0.0521.0000.128-0.599-0.420-0.121-0.7420.0000.000
3~5시간 미만(%)-0.0400.1281.000-0.650-0.730-0.452-0.6630.4230.217
5~7시간 미만(%)0.167-0.599-0.6501.0000.4710.1580.6970.0000.138
7~9시간 미만(%)-0.038-0.420-0.7300.4711.0000.5750.8650.2670.227
9시간 이상(%)0.031-0.121-0.4520.1580.5751.0000.5240.0000.305
평균(시간)0.036-0.742-0.6630.6970.8650.5241.0000.0000.168
기준 연도0.0000.0000.4230.0000.2670.0000.0001.0000.000
시도0.5110.0000.2170.1380.2270.3050.1680.0001.000

Missing values

2023-12-12T05:15:10.861663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T05:15:10.973998image/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.
2023-12-12T05:15:11.065296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

기준 연도시도표본 수(명)3시간 미만(%)3~5시간 미만(%)5~7시간 미만(%)7~9시간 미만(%)9시간 이상(%)평균(시간)
02018서울122017.150.928.62.80.63.9
12018부산7341.260.634.82.01.54.4
22018대구6387.253.832.54.81.64.4
32018인천63726.455.016.42.2<NA>3.5
42018광주4751.828.954.912.61.85.2
52018대전49328.952.615.71.71.13.4
62018울산4253.255.028.410.33.24.6
72018세종18916.063.419.30.50.73.8
82018경기132523.961.412.41.60.83.4
92018강원47817.241.733.05.52.64.1
기준 연도시도표본 수(명)3시간 미만(%)3~5시간 미만(%)5~7시간 미만(%)7~9시간 미만(%)9시간 이상(%)평균(시간)
412020세종613.860.526.94.93.94.4
422020경기240815.646.432.74.11.24.1
432020강원32019.737.834.36.02.24.2
442020충북3214.467.224.03.60.94.1
452020충남43013.648.427.19.31.44.3
462020전북37525.435.732.54.32.14.0
472020전남3604.744.547.22.80.84.5
482020경북55732.530.927.36.23.13.8
492020경남6601.721.450.912.713.45.9
502020제주1205.532.943.915.42.25.2