Overview

Dataset statistics

Number of variables11
Number of observations91
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.7 KiB
Average record size in memory97.5 B

Variable types

DateTime2
Numeric8
Boolean1

Dataset

Description통영시 시립박물관을 방문하는 방문객 수(성인, 청소년, 어린이)에 대하여 통영시민과 타지역 관광객을 구분한 정보입니다.
Author경상남도 통영시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15036542

Alerts

데이터기준일자 has constant value ""Constant
통영시민 합계 is highly overall correlated with 성인(통영시민) and 4 other fieldsHigh correlation
타지역 관광객 합계 is highly overall correlated with 성인(타지역 관광객) and 3 other fieldsHigh correlation
성인(통영시민) is highly overall correlated with 통영시민 합계High correlation
청소년(통영시민) is highly overall correlated with 어린이(통영시민) and 2 other fieldsHigh correlation
어린이(통영시민) is highly overall correlated with 통영시민 합계 and 3 other fieldsHigh correlation
성인(타지역 관광객) is highly overall correlated with 타지역 관광객 합계 and 3 other fieldsHigh correlation
청소년(타지역 관광객) is highly overall correlated with 통영시민 합계 and 5 other fieldsHigh correlation
어린이(타지역 관광객) is highly overall correlated with 통영시민 합계 and 5 other fieldsHigh correlation
휴관일 is highly overall correlated with 통영시민 합계 and 2 other fieldsHigh correlation
날짜 has unique valuesUnique
통영시민 합계 has 15 (16.5%) zerosZeros
타지역 관광객 합계 has 15 (16.5%) zerosZeros
성인(통영시민) has 15 (16.5%) zerosZeros
청소년(통영시민) has 69 (75.8%) zerosZeros
어린이(통영시민) has 60 (65.9%) zerosZeros
성인(타지역 관광객) has 15 (16.5%) zerosZeros
청소년(타지역 관광객) has 35 (38.5%) zerosZeros
어린이(타지역 관광객) has 30 (33.0%) zerosZeros

Reproduction

Analysis started2024-04-06 08:02:17.148995
Analysis finished2024-04-06 08:02:30.304866
Duration13.16 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size860.0 B
Minimum2024-01-01 00:00:00
Maximum2024-03-31 00:00:00
2024-04-06T17:02:30.463873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:30.823436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

통영시민 합계
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct39
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.241758
Minimum0
Maximum100
Zeros15
Zeros (%)16.5%
Negative0
Negative (%)0.0%
Memory size951.0 B
2024-04-06T17:02:31.410516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18.5
median14
Q322.5
95-th percentile45.5
Maximum100
Range100
Interquartile range (IQR)14

Descriptive statistics

Standard deviation17.251306
Coefficient of variation (CV)1.0005538
Kurtosis8.9023118
Mean17.241758
Median Absolute Deviation (MAD)7
Skewness2.4831874
Sum1569
Variance297.60757
MonotonicityNot monotonic
2024-04-06T17:02:31.807102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 15
16.5%
10 10
 
11.0%
14 6
 
6.6%
11 5
 
5.5%
18 5
 
5.5%
12 3
 
3.3%
8 3
 
3.3%
15 3
 
3.3%
19 3
 
3.3%
24 2
 
2.2%
Other values (29) 36
39.6%
ValueCountFrequency (%)
0 15
16.5%
2 2
 
2.2%
4 1
 
1.1%
6 1
 
1.1%
7 1
 
1.1%
8 3
 
3.3%
9 2
 
2.2%
10 10
11.0%
11 5
 
5.5%
12 3
 
3.3%
ValueCountFrequency (%)
100 1
1.1%
94 1
1.1%
59 1
1.1%
50 1
1.1%
48 1
1.1%
43 1
1.1%
40 1
1.1%
36 1
1.1%
35 2
2.2%
33 1
1.1%

타지역 관광객 합계
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct57
Distinct (%)62.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.461538
Minimum0
Maximum275
Zeros15
Zeros (%)16.5%
Negative0
Negative (%)0.0%
Memory size951.0 B
2024-04-06T17:02:32.132092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q152
median73
Q396.5
95-th percentile145.5
Maximum275
Range275
Interquartile range (IQR)44.5

Descriptive statistics

Standard deviation46.409843
Coefficient of variation (CV)0.64943806
Kurtosis3.1972849
Mean71.461538
Median Absolute Deviation (MAD)22
Skewness0.79273923
Sum6503
Variance2153.8735
MonotonicityNot monotonic
2024-04-06T17:02:32.596569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15
 
16.5%
58 4
 
4.4%
73 3
 
3.3%
112 2
 
2.2%
103 2
 
2.2%
43 2
 
2.2%
75 2
 
2.2%
68 2
 
2.2%
108 2
 
2.2%
85 2
 
2.2%
Other values (47) 55
60.4%
ValueCountFrequency (%)
0 15
16.5%
23 1
 
1.1%
36 1
 
1.1%
38 1
 
1.1%
43 2
 
2.2%
47 1
 
1.1%
51 1
 
1.1%
52 2
 
2.2%
53 1
 
1.1%
55 1
 
1.1%
ValueCountFrequency (%)
275 1
1.1%
183 1
1.1%
154 1
1.1%
147 2
2.2%
144 1
1.1%
133 1
1.1%
120 1
1.1%
117 1
1.1%
113 1
1.1%
112 2
2.2%

성인(통영시민)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct32
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.659341
Minimum0
Maximum100
Zeros15
Zeros (%)16.5%
Negative0
Negative (%)0.0%
Memory size951.0 B
2024-04-06T17:02:32.910599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.5
median11
Q315.5
95-th percentile33.5
Maximum100
Range100
Interquartile range (IQR)8

Descriptive statistics

Standard deviation14.760473
Coefficient of variation (CV)1.0806138
Kurtosis16.248654
Mean13.659341
Median Absolute Deviation (MAD)4
Skewness3.4200032
Sum1243
Variance217.87155
MonotonicityNot monotonic
2024-04-06T17:02:33.345567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 15
16.5%
10 11
12.1%
12 7
 
7.7%
11 7
 
7.7%
9 5
 
5.5%
8 5
 
5.5%
14 4
 
4.4%
7 4
 
4.4%
15 4
 
4.4%
21 3
 
3.3%
Other values (22) 26
28.6%
ValueCountFrequency (%)
0 15
16.5%
2 2
 
2.2%
4 1
 
1.1%
6 1
 
1.1%
7 4
 
4.4%
8 5
 
5.5%
9 5
 
5.5%
10 11
12.1%
11 7
7.7%
12 7
7.7%
ValueCountFrequency (%)
100 1
1.1%
80 1
1.1%
43 1
1.1%
40 1
1.1%
35 1
1.1%
32 1
1.1%
31 1
1.1%
29 1
1.1%
28 1
1.1%
27 1
1.1%

청소년(통영시민)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.98901099
Minimum0
Maximum15
Zeros69
Zeros (%)75.8%
Negative0
Negative (%)0.0%
Memory size951.0 B
2024-04-06T17:02:33.618992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.5
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.5187938
Coefficient of variation (CV)2.5467804
Kurtosis14.478242
Mean0.98901099
Median Absolute Deviation (MAD)0
Skewness3.5744652
Sum90
Variance6.3443223
MonotonicityNot monotonic
2024-04-06T17:02:33.859652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 69
75.8%
2 6
 
6.6%
1 5
 
5.5%
5 3
 
3.3%
3 2
 
2.2%
6 2
 
2.2%
4 1
 
1.1%
12 1
 
1.1%
9 1
 
1.1%
15 1
 
1.1%
ValueCountFrequency (%)
0 69
75.8%
1 5
 
5.5%
2 6
 
6.6%
3 2
 
2.2%
4 1
 
1.1%
5 3
 
3.3%
6 2
 
2.2%
9 1
 
1.1%
12 1
 
1.1%
15 1
 
1.1%
ValueCountFrequency (%)
15 1
 
1.1%
12 1
 
1.1%
9 1
 
1.1%
6 2
 
2.2%
5 3
 
3.3%
4 1
 
1.1%
3 2
 
2.2%
2 6
 
6.6%
1 5
 
5.5%
0 69
75.8%

어린이(통영시민)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct13
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5934066
Minimum0
Maximum43
Zeros60
Zeros (%)65.9%
Negative0
Negative (%)0.0%
Memory size951.0 B
2024-04-06T17:02:34.172026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile11.5
Maximum43
Range43
Interquartile range (IQR)3

Descriptive statistics

Standard deviation6.5726335
Coefficient of variation (CV)2.5343629
Kurtosis24.214894
Mean2.5934066
Median Absolute Deviation (MAD)0
Skewness4.5866421
Sum236
Variance43.199512
MonotonicityNot monotonic
2024-04-06T17:02:34.462011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 60
65.9%
2 7
 
7.7%
4 6
 
6.6%
3 4
 
4.4%
5 3
 
3.3%
12 2
 
2.2%
11 2
 
2.2%
6 2
 
2.2%
43 1
 
1.1%
38 1
 
1.1%
Other values (3) 3
 
3.3%
ValueCountFrequency (%)
0 60
65.9%
2 7
 
7.7%
3 4
 
4.4%
4 6
 
6.6%
5 3
 
3.3%
6 2
 
2.2%
8 1
 
1.1%
9 1
 
1.1%
11 2
 
2.2%
12 2
 
2.2%
ValueCountFrequency (%)
43 1
 
1.1%
38 1
 
1.1%
15 1
 
1.1%
12 2
 
2.2%
11 2
 
2.2%
9 1
 
1.1%
8 1
 
1.1%
6 2
 
2.2%
5 3
3.3%
4 6
6.6%

성인(타지역 관광객)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct52
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.879121
Minimum0
Maximum227
Zeros15
Zeros (%)16.5%
Negative0
Negative (%)0.0%
Memory size951.0 B
2024-04-06T17:02:34.768502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q138.5
median64
Q378
95-th percentile115
Maximum227
Range227
Interquartile range (IQR)39.5

Descriptive statistics

Standard deviation37.687851
Coefficient of variation (CV)0.64008855
Kurtosis3.3955902
Mean58.879121
Median Absolute Deviation (MAD)22
Skewness0.73904391
Sum5358
Variance1420.3741
MonotonicityNot monotonic
2024-04-06T17:02:35.072243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15
 
16.5%
65 4
 
4.4%
39 3
 
3.3%
53 3
 
3.3%
78 3
 
3.3%
72 3
 
3.3%
87 3
 
3.3%
62 2
 
2.2%
89 2
 
2.2%
75 2
 
2.2%
Other values (42) 51
56.0%
ValueCountFrequency (%)
0 15
16.5%
21 1
 
1.1%
31 1
 
1.1%
34 1
 
1.1%
35 1
 
1.1%
36 1
 
1.1%
37 2
 
2.2%
38 1
 
1.1%
39 3
 
3.3%
41 1
 
1.1%
ValueCountFrequency (%)
227 1
1.1%
144 1
1.1%
122 1
1.1%
120 2
2.2%
110 1
1.1%
102 1
1.1%
97 1
1.1%
95 1
1.1%
94 1
1.1%
90 1
1.1%

청소년(타지역 관광객)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct17
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3076923
Minimum0
Maximum27
Zeros35
Zeros (%)38.5%
Negative0
Negative (%)0.0%
Memory size951.0 B
2024-04-06T17:02:35.323780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q39
95-th percentile18
Maximum27
Range27
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.0289898
Coefficient of variation (CV)1.1358966
Kurtosis1.1550411
Mean5.3076923
Median Absolute Deviation (MAD)4
Skewness1.2192853
Sum483
Variance36.348718
MonotonicityNot monotonic
2024-04-06T17:02:35.552080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 35
38.5%
6 7
 
7.7%
9 7
 
7.7%
10 6
 
6.6%
18 6
 
6.6%
2 5
 
5.5%
4 5
 
5.5%
5 4
 
4.4%
3 4
 
4.4%
7 3
 
3.3%
Other values (7) 9
 
9.9%
ValueCountFrequency (%)
0 35
38.5%
2 5
 
5.5%
3 4
 
4.4%
4 5
 
5.5%
5 4
 
4.4%
6 7
 
7.7%
7 3
 
3.3%
8 2
 
2.2%
9 7
 
7.7%
10 6
 
6.6%
ValueCountFrequency (%)
27 1
 
1.1%
19 1
 
1.1%
18 6
6.6%
17 1
 
1.1%
14 1
 
1.1%
12 1
 
1.1%
11 2
 
2.2%
10 6
6.6%
9 7
7.7%
8 2
 
2.2%

어린이(타지역 관광객)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct25
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2747253
Minimum0
Maximum32
Zeros30
Zeros (%)33.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2024-04-06T17:02:35.755173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q313.5
95-th percentile20.5
Maximum32
Range32
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation7.7417568
Coefficient of variation (CV)1.0641992
Kurtosis-0.17715573
Mean7.2747253
Median Absolute Deviation (MAD)5
Skewness0.85219098
Sum662
Variance59.934799
MonotonicityNot monotonic
2024-04-06T17:02:35.972491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 30
33.0%
2 7
 
7.7%
8 6
 
6.6%
6 5
 
5.5%
17 5
 
5.5%
19 4
 
4.4%
3 3
 
3.3%
9 3
 
3.3%
10 3
 
3.3%
16 3
 
3.3%
Other values (15) 22
24.2%
ValueCountFrequency (%)
0 30
33.0%
1 2
 
2.2%
2 7
 
7.7%
3 3
 
3.3%
4 2
 
2.2%
5 2
 
2.2%
6 5
 
5.5%
7 1
 
1.1%
8 6
 
6.6%
9 3
 
3.3%
ValueCountFrequency (%)
32 1
 
1.1%
25 1
 
1.1%
22 1
 
1.1%
21 2
 
2.2%
20 1
 
1.1%
19 4
4.4%
18 2
 
2.2%
17 5
5.5%
16 3
3.3%
15 1
 
1.1%

휴관일
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size223.0 B
False
75 
True
16 
ValueCountFrequency (%)
False 75
82.4%
True 16
 
17.6%
2024-04-06T17:02:36.185719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size860.0 B
Minimum2024-04-01 00:00:00
Maximum2024-04-01 00:00:00
2024-04-06T17:02:36.412404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:36.608566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-06T17:02:27.669308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:17.724180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:19.218387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:20.735476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:22.219918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:23.871028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:25.149277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:26.394488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:27.830047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:17.884201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:19.394486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:20.997738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:22.411694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:24.018789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:25.288020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:26.549786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:28.086570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:18.023711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:19.627021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:21.180021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:22.674170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:24.183826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:25.424747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:26.724402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:28.760794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:18.190083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:19.827531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:21.411907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:22.883748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:24.329773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:25.584997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:26.918083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:28.944709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:18.357749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:20.018168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:21.634494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:23.048891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:24.484554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:25.746473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:27.097398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:29.087289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:18.592382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:20.145269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:21.773607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:23.275558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:24.619721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:25.938716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:27.233716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:29.240470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:18.792556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:20.299138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:21.913353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:23.498379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:24.831872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:26.084662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:27.364759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:29.405167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:19.007592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:20.494950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:22.051455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:23.704784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:24.977001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:26.226550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:27.507875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:02:36.786376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
날짜통영시민 합계타지역 관광객 합계성인(통영시민)청소년(통영시민)어린이(통영시민)성인(타지역 관광객)청소년(타지역 관광객)어린이(타지역 관광객)휴관일
날짜1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
통영시민 합계1.0001.0000.4430.9460.6030.7350.4650.3820.3530.612
타지역 관광객 합계1.0000.4431.0000.3740.0000.2960.9830.7500.7420.992
성인(통영시민)1.0000.9460.3741.0000.6610.0000.2450.3600.4760.472
청소년(통영시민)1.0000.6030.0000.6611.0000.3880.0000.6120.5240.000
어린이(통영시민)1.0000.7350.2960.0000.3881.0000.0000.1680.5680.000
성인(타지역 관광객)1.0000.4650.9830.2450.0000.0001.0000.6890.7220.992
청소년(타지역 관광객)1.0000.3820.7500.3600.6120.1680.6891.0000.8770.449
어린이(타지역 관광객)1.0000.3530.7420.4760.5240.5680.7220.8771.0000.420
휴관일1.0000.6120.9920.4720.0000.0000.9920.4490.4201.000
2024-04-06T17:02:37.093395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
통영시민 합계타지역 관광객 합계성인(통영시민)청소년(통영시민)어린이(통영시민)성인(타지역 관광객)청소년(타지역 관광객)어린이(타지역 관광객)휴관일
통영시민 합계1.0000.4870.9000.4730.5350.4110.5030.5320.527
타지역 관광객 합계0.4871.0000.4000.4410.4670.9490.7100.7050.890
성인(통영시민)0.9000.4001.0000.2920.2040.3750.3970.3890.404
청소년(통영시민)0.4730.4410.2921.0000.5850.2990.5520.5060.000
어린이(통영시민)0.5350.4670.2040.5851.0000.3120.5060.6250.000
성인(타지역 관광객)0.4110.9490.3750.2990.3121.0000.5150.5050.887
청소년(타지역 관광객)0.5030.7100.3970.5520.5060.5151.0000.7580.430
어린이(타지역 관광객)0.5320.7050.3890.5060.6250.5050.7581.0000.402
휴관일0.5270.8900.4040.0000.0000.8870.4300.4021.000

Missing values

2024-04-06T17:02:29.838374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:02:30.181032image/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

날짜통영시민 합계타지역 관광객 합계성인(통영시민)청소년(통영시민)어린이(통영시민)성인(타지역 관광객)청소년(타지역 관광객)어린이(타지역 관광객)휴관일데이터기준일자
02024-01-0100000000Y2024-04-01
12024-01-02224317323733N2024-04-01
22024-01-03195819004963N2024-04-01
32024-01-04145813105341N2024-04-01
42024-01-05145214004552N2024-04-01
52024-01-063399294078147N2024-04-01
62024-01-0710147712122619N2024-04-01
72024-01-0800000000Y2024-04-01
82024-01-091089100077102N2024-04-01
92024-01-102194210070618N2024-04-01
날짜통영시민 합계타지역 관광객 합계성인(통영시민)청소년(통영시민)어린이(통영시민)성인(타지역 관광객)청소년(타지역 관광객)어린이(타지역 관광객)휴관일데이터기준일자
812024-03-2217106170010204N2024-04-01
822024-03-23106310005328N2024-04-01
832024-03-241664862381016N2024-04-01
842024-03-2500000000Y2024-04-01
852024-03-26325632005600N2024-04-01
862024-03-27156315006300N2024-04-01
872024-03-288738006256N2024-04-01
882024-03-29108010007208N2024-04-01
892024-03-3018103112589212N2024-04-01
902024-03-312467150939919N2024-04-01