Overview

Dataset statistics

Number of variables17
Number of observations111
Missing cells216
Missing cells (%)11.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.1 KiB
Average record size in memory139.2 B

Variable types

Text8
DateTime4
Categorical3
Numeric2

Dataset

Description부산광역시연제구_관광및여행업현황_20230605
Author부산광역시 연제구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3040711

Alerts

영업상태 has constant value ""Constant
우편번호 is highly overall correlated with 보험기관High correlation
시설면적(제곱미터) is highly overall correlated with 보험기관High correlation
보험기관 is highly overall correlated with 우편번호 and 1 other fieldsHigh correlation
우편번호 has 4 (3.6%) missing valuesMissing
시설면적(제곱미터) has 73 (65.8%) missing valuesMissing
보험시작일 has 16 (14.4%) missing valuesMissing
보험종료일 has 16 (14.4%) missing valuesMissing
조직(단체)명 has 53 (47.7%) missing valuesMissing
조직(단체)주소 has 53 (47.7%) missing valuesMissing
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:31:34.931211
Analysis finished2023-12-10 16:31:39.671508
Duration4.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

UNIQUE 

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-12-11T01:31:39.819134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length17
Mean length17
Min length17

Characters and Unicode

Total characters1887
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique111 ?
Unique (%)100.0%

Sample

1st row26001-2011-000006
2nd row26001-2012-000005
3rd row26001-2012-000011
4th row26001-2013-000005
5th row26001-2014-000001
ValueCountFrequency (%)
26001-2011-000006 1
 
0.9%
26003-2017-000001 1
 
0.9%
26002-2022-000007 1
 
0.9%
26002-2022-000006 1
 
0.9%
26002-2022-000004 1
 
0.9%
26002-2022-000001 1
 
0.9%
26002-2021-000006 1
 
0.9%
26002-2021-000004 1
 
0.9%
26002-2021-000003 1
 
0.9%
26002-2021-000002 1
 
0.9%
Other values (101) 101
91.0%
2023-12-11T01:31:40.248114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 889
47.1%
2 353
 
18.7%
- 222
 
11.8%
1 156
 
8.3%
6 128
 
6.8%
4 37
 
2.0%
3 33
 
1.7%
5 21
 
1.1%
9 20
 
1.1%
7 16
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1665
88.2%
Dash Punctuation 222
 
11.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 889
53.4%
2 353
 
21.2%
1 156
 
9.4%
6 128
 
7.7%
4 37
 
2.2%
3 33
 
2.0%
5 21
 
1.3%
9 20
 
1.2%
7 16
 
1.0%
8 12
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 222
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1887
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 889
47.1%
2 353
 
18.7%
- 222
 
11.8%
1 156
 
8.3%
6 128
 
6.8%
4 37
 
2.0%
3 33
 
1.7%
5 21
 
1.1%
9 20
 
1.1%
7 16
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1887
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 889
47.1%
2 353
 
18.7%
- 222
 
11.8%
1 156
 
8.3%
6 128
 
6.8%
4 37
 
2.0%
3 33
 
1.7%
5 21
 
1.1%
9 20
 
1.1%
7 16
 
0.8%

등록일자
Date

Distinct93
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
Minimum1992-10-20 00:00:00
Maximum2023-06-01 00:00:00
2023-12-11T01:31:40.474615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:31:40.703725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업종
Categorical

Distinct6
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size1020.0 B
국내외여행업
49 
국내여행업
33 
종합여행업
16 
관광숙박업
5 
외국인관광 도시민박업
 
4

Length

Max length11
Median length7
Mean length5.7297297
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 49
44.1%
국내여행업 33
29.7%
종합여행업 16
 
14.4%
관광숙박업 5
 
4.5%
외국인관광 도시민박업 4
 
3.6%
국제회의기획업 4
 
3.6%

Length

2023-12-11T01:31:40.902978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:31:41.049255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 49
42.6%
국내여행업 33
28.7%
종합여행업 16
 
13.9%
관광숙박업 5
 
4.3%
외국인관광 4
 
3.5%
도시민박업 4
 
3.5%
국제회의기획업 4
 
3.5%

상호
Text

Distinct92
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-12-11T01:31:41.413860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length7.6306306
Min length2

Characters and Unicode

Total characters847
Distinct characters176
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)65.8%

Sample

1st row(주)애니투어
2nd row(주)투어일번지
3rd row고려선투어(주)
4th row미래테마여행사
5th row자비정진회여행사 주식회사
ValueCountFrequency (%)
주식회사 10
 
7.0%
여행사 4
 
2.8%
주)애니투어 2
 
1.4%
주)강남해외여행사 2
 
1.4%
house 2
 
1.4%
도윤여행사 2
 
1.4%
투어 2
 
1.4%
협동조합 2
 
1.4%
부산시티투어 2
 
1.4%
주)에이비투어 2
 
1.4%
Other values (98) 112
78.9%
2023-12-11T01:31:42.170291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 67
 
7.9%
( 54
 
6.4%
) 54
 
6.4%
투 43
 
5.1%
어 43
 
5.1%
사 40
 
4.7%
행 36
 
4.3%
여 35
 
4.1%
32
 
3.8%
이 16
 
1.9%
Other values (166) 427
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 674
79.6%
Open Punctuation 54
 
6.4%
Close Punctuation 54
 
6.4%
Space Separator 32
 
3.8%
Uppercase Letter 24
 
2.8%
Lowercase Letter 7
 
0.8%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 67
 
9.9%
투 43
 
6.4%
어 43
 
6.4%
사 40
 
5.9%
행 36
 
5.3%
여 35
 
5.2%
이 16
 
2.4%
스 14
 
2.1%
회 12
 
1.8%
비 10
 
1.5%
Other values (145) 358
53.1%
Uppercase Letter
ValueCountFrequency (%)
S 4
16.7%
E 3
12.5%
O 3
12.5%
J 3
12.5%
U 3
12.5%
W 2
8.3%
H 2
8.3%
T 1
 
4.2%
A 1
 
4.2%
G 1
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
s 2
28.6%
i 1
14.3%
e 1
14.3%
c 1
14.3%
n 1
14.3%
r 1
14.3%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Space Separator
ValueCountFrequency (%)
32
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 674
79.6%
Common 142
 
16.8%
Latin 31
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 67
 
9.9%
투 43
 
6.4%
어 43
 
6.4%
사 40
 
5.9%
행 36
 
5.3%
여 35
 
5.2%
이 16
 
2.4%
스 14
 
2.1%
회 12
 
1.8%
비 10
 
1.5%
Other values (145) 358
53.1%
Latin
ValueCountFrequency (%)
S 4
12.9%
E 3
9.7%
O 3
9.7%
J 3
9.7%
U 3
9.7%
W 2
 
6.5%
s 2
 
6.5%
H 2
 
6.5%
T 1
 
3.2%
A 1
 
3.2%
Other values (7) 7
22.6%
Common
ValueCountFrequency (%)
( 54
38.0%
) 54
38.0%
32
22.5%
. 2
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 674
79.6%
ASCII 173
 
20.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 67
 
9.9%
투 43
 
6.4%
어 43
 
6.4%
사 40
 
5.9%
행 36
 
5.3%
여 35
 
5.2%
이 16
 
2.4%
스 14
 
2.1%
회 12
 
1.8%
비 10
 
1.5%
Other values (145) 358
53.1%
ASCII
ValueCountFrequency (%)
( 54
31.2%
) 54
31.2%
32
18.5%
S 4
 
2.3%
E 3
 
1.7%
O 3
 
1.7%
J 3
 
1.7%
U 3
 
1.7%
W 2
 
1.2%
s 2
 
1.2%
Other values (11) 13
 
7.5%

우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct44
Distinct (%)41.1%
Missing4
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean89713.589
Minimum47500
Maximum611807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:31:42.399488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47500
5-th percentile47511.9
Q147521.5
median47541
Q347581
95-th percentile611082
Maximum611807
Range564307
Interquartile range (IQR)59.5

Descriptive statistics

Standard deviation149028.63
Coefficient of variation (CV)1.6611601
Kurtosis8.9229217
Mean89713.589
Median Absolute Deviation (MAD)21
Skewness3.2797035
Sum9599354
Variance2.2209533 × 1010
MonotonicityNot monotonic
2023-12-11T01:31:42.578129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
47520 12
 
10.8%
47541 7
 
6.3%
47603 7
 
6.3%
47542 6
 
5.4%
47540 5
 
4.5%
47521 4
 
3.6%
47522 4
 
3.6%
47525 4
 
3.6%
47514 3
 
2.7%
611082 3
 
2.7%
Other values (34) 52
46.8%
(Missing) 4
 
3.6%
ValueCountFrequency (%)
47500 2
 
1.8%
47507 2
 
1.8%
47511 2
 
1.8%
47514 3
 
2.7%
47515 1
 
0.9%
47519 1
 
0.9%
47520 12
10.8%
47521 4
 
3.6%
47522 4
 
3.6%
47525 4
 
3.6%
ValueCountFrequency (%)
611807 1
 
0.9%
611800 2
 
1.8%
611724 2
 
1.8%
611082 3
2.7%
47606 2
 
1.8%
47605 3
2.7%
47603 7
6.3%
47599 1
 
0.9%
47597 2
 
1.8%
47596 2
 
1.8%

소재지(지번)
Text

Distinct79
Distinct (%)71.2%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-12-11T01:31:42.925402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length43
Mean length24.045045
Min length19

Characters and Unicode

Total characters2669
Distinct characters105
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)51.4%

Sample

1st row부산광역시 연제구 거제동 2-27
2nd row부산광역시 연제구 연산동 632-1
3rd row부산광역시 연제구 연산동 822-7
4th row부산광역시 연제구 연산동 775-7
5th row부산광역시 연제구 거제동 1029-2 거제동원타워
ValueCountFrequency (%)
부산광역시 111
21.5%
연제구 111
21.5%
연산동 80
15.5%
거제동 35
 
6.8%
587-8 9
 
1.7%
sk 7
 
1.4%
775-7 6
 
1.2%
view(2단지 5
 
1.0%
1-32 4
 
0.8%
824-20 3
 
0.6%
Other values (112) 146
28.2%
2023-12-11T01:31:43.422710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
505
18.9%
산 196
 
7.3%
연 191
 
7.2%
제 151
 
5.7%
동 125
 
4.7%
시 117
 
4.4%
부 116
 
4.3%
역 114
 
4.3%
광 112
 
4.2%
구 112
 
4.2%
Other values (95) 930
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1449
54.3%
Decimal Number 552
 
20.7%
Space Separator 505
 
18.9%
Dash Punctuation 107
 
4.0%
Uppercase Letter 44
 
1.6%
Open Punctuation 6
 
0.2%
Close Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 196
13.5%
연 191
13.2%
제 151
10.4%
동 125
8.6%
시 117
8.1%
부 116
8.0%
역 114
7.9%
광 112
7.7%
구 112
7.7%
거 40
 
2.8%
Other values (75) 175
12.1%
Decimal Number
ValueCountFrequency (%)
1 102
18.5%
2 75
13.6%
3 65
11.8%
7 63
11.4%
8 58
10.5%
4 54
9.8%
5 46
8.3%
0 41
7.4%
6 27
 
4.9%
9 21
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
K 8
18.2%
S 8
18.2%
W 7
15.9%
E 7
15.9%
I 7
15.9%
V 7
15.9%
Space Separator
ValueCountFrequency (%)
505
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 107
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1449
54.3%
Common 1176
44.1%
Latin 44
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 196
13.5%
연 191
13.2%
제 151
10.4%
동 125
8.6%
시 117
8.1%
부 116
8.0%
역 114
7.9%
광 112
7.7%
구 112
7.7%
거 40
 
2.8%
Other values (75) 175
12.1%
Common
ValueCountFrequency (%)
505
42.9%
- 107
 
9.1%
1 102
 
8.7%
2 75
 
6.4%
3 65
 
5.5%
7 63
 
5.4%
8 58
 
4.9%
4 54
 
4.6%
5 46
 
3.9%
0 41
 
3.5%
Other values (4) 60
 
5.1%
Latin
ValueCountFrequency (%)
K 8
18.2%
S 8
18.2%
W 7
15.9%
E 7
15.9%
I 7
15.9%
V 7
15.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1449
54.3%
ASCII 1220
45.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
505
41.4%
- 107
 
8.8%
1 102
 
8.4%
2 75
 
6.1%
3 65
 
5.3%
7 63
 
5.2%
8 58
 
4.8%
4 54
 
4.4%
5 46
 
3.8%
0 41
 
3.4%
Other values (10) 104
 
8.5%
Hangul
ValueCountFrequency (%)
산 196
13.5%
연 191
13.2%
제 151
10.4%
동 125
8.6%
시 117
8.1%
부 116
8.0%
역 114
7.9%
광 112
7.7%
구 112
7.7%
거 40
 
2.8%
Other values (75) 175
12.1%

소재지(도로명)
Text

Distinct86
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-12-11T01:31:43.726444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length47
Mean length34.666667
Min length21

Characters and Unicode

Total characters3848
Distinct characters141
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)59.5%

Sample

1st row부산광역시 연제구 거제대로286번길 10 (거제동)
2nd row부산광역시 연제구 쌍미천로 149-1, 1층 (연산동)
3rd row부산광역시 연제구 연수로 89 (연산동)
4th row부산광역시 연제구 월드컵대로 25-2, 2층 (연산동)
5th row부산광역시 연제구 월드컵대로243번길 19, 102동 1605호 (거제동, 거제동원타워)
ValueCountFrequency (%)
부산광역시 111
 
15.1%
연제구 111
 
15.1%
연산동 80
 
10.9%
거제동 34
 
4.6%
2층 21
 
2.9%
중앙대로 19
 
2.6%
월드컵대로 18
 
2.4%
3층 12
 
1.6%
1130 9
 
1.2%
sk 9
 
1.2%
Other values (186) 312
42.4%
2023-12-11T01:31:44.496847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
625
 
16.2%
연 207
 
5.4%
산 198
 
5.1%
1 165
 
4.3%
제 164
 
4.3%
동 146
 
3.8%
시 121
 
3.1%
) 120
 
3.1%
( 120
 
3.1%
, 116
 
3.0%
Other values (131) 1866
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2151
55.9%
Decimal Number 637
 
16.6%
Space Separator 625
 
16.2%
Close Punctuation 121
 
3.1%
Open Punctuation 121
 
3.1%
Other Punctuation 117
 
3.0%
Uppercase Letter 57
 
1.5%
Dash Punctuation 17
 
0.4%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 207
 
9.6%
산 198
 
9.2%
제 164
 
7.6%
동 146
 
6.8%
시 121
 
5.6%
역 114
 
5.3%
부 112
 
5.2%
구 112
 
5.2%
광 112
 
5.2%
로 111
 
5.2%
Other values (105) 754
35.1%
Decimal Number
ValueCountFrequency (%)
1 165
25.9%
2 112
17.6%
0 83
13.0%
3 75
11.8%
4 49
 
7.7%
5 40
 
6.3%
8 34
 
5.3%
7 33
 
5.2%
6 25
 
3.9%
9 21
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
K 10
17.5%
S 10
17.5%
W 9
15.8%
E 9
15.8%
I 9
15.8%
V 9
15.8%
C 1
 
1.8%
Close Punctuation
ValueCountFrequency (%)
) 120
99.2%
] 1
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 120
99.2%
[ 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 116
99.1%
* 1
 
0.9%
Space Separator
ValueCountFrequency (%)
625
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2151
55.9%
Common 1640
42.6%
Latin 57
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 207
 
9.6%
산 198
 
9.2%
제 164
 
7.6%
동 146
 
6.8%
시 121
 
5.6%
역 114
 
5.3%
부 112
 
5.2%
구 112
 
5.2%
광 112
 
5.2%
로 111
 
5.2%
Other values (105) 754
35.1%
Common
ValueCountFrequency (%)
625
38.1%
1 165
 
10.1%
) 120
 
7.3%
( 120
 
7.3%
, 116
 
7.1%
2 112
 
6.8%
0 83
 
5.1%
3 75
 
4.6%
4 49
 
3.0%
5 40
 
2.4%
Other values (9) 135
 
8.2%
Latin
ValueCountFrequency (%)
K 10
17.5%
S 10
17.5%
W 9
15.8%
E 9
15.8%
I 9
15.8%
V 9
15.8%
C 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2151
55.9%
ASCII 1697
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
625
36.8%
1 165
 
9.7%
) 120
 
7.1%
( 120
 
7.1%
, 116
 
6.8%
2 112
 
6.6%
0 83
 
4.9%
3 75
 
4.4%
4 49
 
2.9%
5 40
 
2.4%
Other values (16) 192
 
11.3%
Hangul
ValueCountFrequency (%)
연 207
 
9.6%
산 198
 
9.2%
제 164
 
7.6%
동 146
 
6.8%
시 121
 
5.6%
역 114
 
5.3%
부 112
 
5.2%
구 112
 
5.2%
광 112
 
5.2%
로 111
 
5.2%
Other values (105) 754
35.1%

시설면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct33
Distinct (%)86.8%
Missing73
Missing (%)65.8%
Infinite0
Infinite (%)0.0%
Mean1531.4021
Minimum14.52
Maximum30870
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:31:44.654020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.52
5-th percentile23.59
Q139.5175
median59
Q3108.06
95-th percentile7523.7
Maximum30870
Range30855.48
Interquartile range (IQR)68.5425

Descriptive statistics

Standard deviation5303.6753
Coefficient of variation (CV)3.4632807
Kurtosis26.698432
Mean1531.4021
Median Absolute Deviation (MAD)22.195
Skewness4.9398502
Sum58193.28
Variance28128972
MonotonicityNot monotonic
2023-12-11T01:31:44.812528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
49.91 2
 
1.8%
38.61 2
 
1.8%
108.06 2
 
1.8%
40.84 2
 
1.8%
60.0 2
 
1.8%
25.0 1
 
0.9%
29.78 1
 
0.9%
62.14 1
 
0.9%
49.0 1
 
0.9%
120.0 1
 
0.9%
Other values (23) 23
 
20.7%
(Missing) 73
65.8%
ValueCountFrequency (%)
14.52 1
0.9%
15.6 1
0.9%
25.0 1
0.9%
25.2 1
0.9%
29.78 1
0.9%
33.0 1
0.9%
33.69 1
0.9%
38.61 2
1.8%
39.49 1
0.9%
39.6 1
0.9%
ValueCountFrequency (%)
30870.0 1
0.9%
9154.0 1
0.9%
7236.0 1
0.9%
4997.0 1
0.9%
3956.0 1
0.9%
160.9 1
0.9%
128.4 1
0.9%
120.0 1
0.9%
110.0 1
0.9%
108.06 2
1.8%

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1020.0 B
영업중
111 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 111
100.0%

Length

2023-12-11T01:31:44.963829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:31:45.051392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 111
100.0%

보험시작일
Date

MISSING 

Distinct76
Distinct (%)80.0%
Missing16
Missing (%)14.4%
Memory size1020.0 B
Minimum2011-05-16 00:00:00
Maximum2023-06-15 00:00:00
2023-12-11T01:31:45.187354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:31:45.452200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

보험종료일
Date

MISSING 

Distinct77
Distinct (%)81.1%
Missing16
Missing (%)14.4%
Memory size1020.0 B
Minimum2012-05-16 00:00:00
Maximum2024-06-15 00:00:00
2023-12-11T01:31:45.625027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:31:45.815696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

보험기관
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Memory size1020.0 B
서울보증보험
30 
<NA>
19 
서울보증보험(주)
17 
서울보증보험주식회사
17 
한국관광협회중앙회
12 
Other values (6)
16 

Length

Max length15
Median length11
Mean length8
Min length4

Unique

Unique3 ?
Unique (%)2.7%

Sample

1st row부산광역시관광협회
2nd row서울보증보험(주)
3rd row한국관광협회중앙회
4th row한국관광협회중앙회
5th row서울보증보험

Common Values

ValueCountFrequency (%)
서울보증보험 30
27.0%
<NA> 19
17.1%
서울보증보험(주) 17
15.3%
서울보증보험주식회사 17
15.3%
한국관광협회중앙회 12
 
10.8%
한국관광협회중앙회 여행공제회 6
 
5.4%
한국관광협회중앙회 관광공제회 4
 
3.6%
부산광역시관광협회 3
 
2.7%
한국관광협회 1
 
0.9%
서울보증보험 주식회사 1
 
0.9%

Length

2023-12-11T01:31:46.041086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울보증보험 31
25.4%
한국관광협회중앙회 22
18.0%
na 19
15.6%
서울보증보험(주 17
13.9%
서울보증보험주식회사 17
13.9%
여행공제회 6
 
4.9%
관광공제회 4
 
3.3%
부산광역시관광협회 3
 
2.5%
한국관광협회 1
 
0.8%
주식회사 1
 
0.8%

대표자성명
Text

Distinct92
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-12-11T01:31:46.578817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length3
Mean length3.0720721
Min length2

Characters and Unicode

Total characters341
Distinct characters114
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)65.8%

Sample

1st row김거중
2nd row윤진국
3rd row김영곤
4th row김영순
5th row최성이
ValueCountFrequency (%)
김거중 2
 
1.8%
임채현 2
 
1.8%
김도윤 2
 
1.8%
김원영 2
 
1.8%
박세종 2
 
1.8%
정순부 2
 
1.8%
이준경 2
 
1.8%
이상군 2
 
1.8%
장헌주 2
 
1.8%
이희원 2
 
1.8%
Other values (83) 92
82.1%
2023-12-11T01:31:47.422279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 25
 
7.3%
영 19
 
5.6%
이 18
 
5.3%
정 13
 
3.8%
진 12
 
3.5%
박 10
 
2.9%
현 9
 
2.6%
윤 7
 
2.1%
성 7
 
2.1%
호 6
 
1.8%
Other values (104) 215
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 329
96.5%
Uppercase Letter 11
 
3.2%
Space Separator 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 25
 
7.6%
영 19
 
5.8%
이 18
 
5.5%
정 13
 
4.0%
진 12
 
3.6%
박 10
 
3.0%
현 9
 
2.7%
윤 7
 
2.1%
성 7
 
2.1%
호 6
 
1.8%
Other values (95) 203
61.7%
Uppercase Letter
ValueCountFrequency (%)
I 2
18.2%
G 2
18.2%
N 2
18.2%
U 1
9.1%
C 1
9.1%
P 1
9.1%
S 1
9.1%
O 1
9.1%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 329
96.5%
Latin 11
 
3.2%
Common 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 25
 
7.6%
영 19
 
5.8%
이 18
 
5.5%
정 13
 
4.0%
진 12
 
3.6%
박 10
 
3.0%
현 9
 
2.7%
윤 7
 
2.1%
성 7
 
2.1%
호 6
 
1.8%
Other values (95) 203
61.7%
Latin
ValueCountFrequency (%)
I 2
18.2%
G 2
18.2%
N 2
18.2%
U 1
9.1%
C 1
9.1%
P 1
9.1%
S 1
9.1%
O 1
9.1%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 329
96.5%
ASCII 12
 
3.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 25
 
7.6%
영 19
 
5.8%
이 18
 
5.5%
정 13
 
4.0%
진 12
 
3.6%
박 10
 
3.0%
현 9
 
2.7%
윤 7
 
2.1%
성 7
 
2.1%
호 6
 
1.8%
Other values (95) 203
61.7%
ASCII
ValueCountFrequency (%)
I 2
16.7%
G 2
16.7%
N 2
16.7%
U 1
8.3%
C 1
8.3%
1
8.3%
P 1
8.3%
S 1
8.3%
O 1
8.3%

대표자주소
Text

Distinct90
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-12-11T01:31:47.877467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length43
Mean length36.099099
Min length17

Characters and Unicode

Total characters4007
Distinct characters190
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)62.2%

Sample

1st row부산광역시 연제구 연산동 2134-8 8통4반 대영아파트 107호
2nd row부산광역시 연제구 연산동 360-14 16통7반 효전빌라텔 701호
3rd row부산광역시 연제구 연산동 1876-86 9통2반
4th row부산광역시 사하구 신평동 31통1반 럭키무지개타운 1동 1203호
5th row부산광역시 연제구 거제동 7통6반 거제동원타워 102동 1605호
ValueCountFrequency (%)
부산광역시 107
 
14.1%
연제구 44
 
5.8%
연산동 34
 
4.5%
동래구 13
 
1.7%
101동 10
 
1.3%
103동 10
 
1.3%
거제동 10
 
1.3%
금정구 8
 
1.1%
해운대구 8
 
1.1%
사상구 7
 
0.9%
Other values (328) 508
66.9%
2023-12-11T01:31:48.547382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
673
 
16.8%
1 277
 
6.9%
동 195
 
4.9%
0 167
 
4.2%
산 161
 
4.0%
2 146
 
3.6%
부 119
 
3.0%
시 118
 
2.9%
3 112
 
2.8%
역 111
 
2.8%
Other values (180) 1928
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2238
55.9%
Decimal Number 1026
25.6%
Space Separator 673
 
16.8%
Dash Punctuation 56
 
1.4%
Uppercase Letter 9
 
0.2%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 195
 
8.7%
산 161
 
7.2%
부 119
 
5.3%
시 118
 
5.3%
역 111
 
5.0%
광 108
 
4.8%
구 108
 
4.8%
반 107
 
4.8%
통 103
 
4.6%
호 89
 
4.0%
Other values (159) 1019
45.5%
Decimal Number
ValueCountFrequency (%)
1 277
27.0%
0 167
16.3%
2 146
14.2%
3 112
10.9%
4 75
 
7.3%
5 59
 
5.8%
7 51
 
5.0%
6 48
 
4.7%
8 47
 
4.6%
9 44
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
A 2
22.2%
G 2
22.2%
L 2
22.2%
B 1
11.1%
S 1
11.1%
D 1
11.1%
Space Separator
ValueCountFrequency (%)
673
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2237
55.8%
Common 1759
43.9%
Latin 10
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 195
 
8.7%
산 161
 
7.2%
부 119
 
5.3%
시 118
 
5.3%
역 111
 
5.0%
광 108
 
4.8%
구 108
 
4.8%
반 107
 
4.8%
통 103
 
4.6%
호 89
 
4.0%
Other values (158) 1018
45.5%
Common
ValueCountFrequency (%)
673
38.3%
1 277
15.7%
0 167
 
9.5%
2 146
 
8.3%
3 112
 
6.4%
4 75
 
4.3%
5 59
 
3.4%
- 56
 
3.2%
7 51
 
2.9%
6 48
 
2.7%
Other values (4) 95
 
5.4%
Latin
ValueCountFrequency (%)
A 2
20.0%
G 2
20.0%
L 2
20.0%
Ⅱ 1
10.0%
B 1
10.0%
S 1
10.0%
D 1
10.0%
Han
ValueCountFrequency (%)
林 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2237
55.8%
ASCII 1768
44.1%
Number Forms 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
673
38.1%
1 277
15.7%
0 167
 
9.4%
2 146
 
8.3%
3 112
 
6.3%
4 75
 
4.2%
5 59
 
3.3%
- 56
 
3.2%
7 51
 
2.9%
6 48
 
2.7%
Other values (10) 104
 
5.9%
Hangul
ValueCountFrequency (%)
동 195
 
8.7%
산 161
 
7.2%
부 119
 
5.3%
시 118
 
5.3%
역 111
 
5.0%
광 108
 
4.8%
구 108
 
4.8%
반 107
 
4.8%
통 103
 
4.6%
호 89
 
4.0%
Other values (158) 1018
45.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
CJK
ValueCountFrequency (%)
林 1
100.0%

조직(단체)명
Text

MISSING 

Distinct48
Distinct (%)82.8%
Missing53
Missing (%)47.7%
Memory size1020.0 B
2023-12-11T01:31:48.908232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.0344828
Min length4

Characters and Unicode

Total characters524
Distinct characters106
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)65.5%

Sample

1st row(주)애니투어
2nd row(주)투어일번지
3rd row(주)고려선투어
4th row(주)자비정진회 여행사
5th row에이스골프(주)
ValueCountFrequency (%)
주식회사 27
30.7%
주)에이비투어 2
 
2.3%
스타골프 2
 
2.3%
주)애니투어 2
 
2.3%
주)투어일번지 2
 
2.3%
나비투어 2
 
2.3%
부산시티투어협동조합 2
 
2.3%
시원여행 2
 
2.3%
미투어 2
 
2.3%
라온투어 2
 
2.3%
Other values (42) 43
48.9%
2023-12-11T01:31:49.437206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 55
 
10.5%
사 37
 
7.1%
투 32
 
6.1%
어 32
 
6.1%
30
 
5.7%
회 30
 
5.7%
식 27
 
5.2%
( 26
 
5.0%
) 26
 
5.0%
행 14
 
2.7%
Other values (96) 215
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 442
84.4%
Space Separator 30
 
5.7%
Open Punctuation 26
 
5.0%
Close Punctuation 26
 
5.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 55
 
12.4%
사 37
 
8.4%
투 32
 
7.2%
어 32
 
7.2%
회 30
 
6.8%
식 27
 
6.1%
행 14
 
3.2%
여 13
 
2.9%
이 9
 
2.0%
스 9
 
2.0%
Other values (93) 184
41.6%
Space Separator
ValueCountFrequency (%)
30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 442
84.4%
Common 82
 
15.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 55
 
12.4%
사 37
 
8.4%
투 32
 
7.2%
어 32
 
7.2%
회 30
 
6.8%
식 27
 
6.1%
행 14
 
3.2%
여 13
 
2.9%
이 9
 
2.0%
스 9
 
2.0%
Other values (93) 184
41.6%
Common
ValueCountFrequency (%)
30
36.6%
( 26
31.7%
) 26
31.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 442
84.4%
ASCII 82
 
15.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 55
 
12.4%
사 37
 
8.4%
투 32
 
7.2%
어 32
 
7.2%
회 30
 
6.8%
식 27
 
6.1%
행 14
 
3.2%
여 13
 
2.9%
이 9
 
2.0%
스 9
 
2.0%
Other values (93) 184
41.6%
ASCII
ValueCountFrequency (%)
30
36.6%
( 26
31.7%
) 26
31.7%

조직(단체)주소
Text

MISSING 

Distinct45
Distinct (%)77.6%
Missing53
Missing (%)47.7%
Memory size1020.0 B
2023-12-11T01:31:49.895710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length36
Mean length25.534483
Min length17

Characters and Unicode

Total characters1481
Distinct characters106
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)56.9%

Sample

1st row부산광역시 연제구 연산동 1343-3
2nd row경상남도 거제시 장평동 56-1 장평종합상가 153호
3rd row부산광역시 연제구 연산동 822-7
4th row부산광역시 연제구 거제동 1029-2 거제동원타워
5th row부산광역시 연제구 거제동 1491-1 동주빌딩 1303호
ValueCountFrequency (%)
부산광역시 56
19.2%
연제구 45
 
15.5%
연산동 30
 
10.3%
거제동 16
 
5.5%
587-8 7
 
2.4%
부산진구 4
 
1.4%
부전동 3
 
1.0%
153호 2
 
0.7%
b111호 2
 
0.7%
경상남도 2
 
0.7%
Other values (94) 124
42.6%
2023-12-11T01:31:50.572134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
233
 
15.7%
산 92
 
6.2%
연 78
 
5.3%
1 76
 
5.1%
동 75
 
5.1%
제 67
 
4.5%
부 65
 
4.4%
시 58
 
3.9%
역 57
 
3.8%
구 56
 
3.8%
Other values (96) 624
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 845
57.1%
Decimal Number 326
 
22.0%
Space Separator 233
 
15.7%
Dash Punctuation 53
 
3.6%
Uppercase Letter 18
 
1.2%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 92
10.9%
연 78
 
9.2%
동 75
 
8.9%
제 67
 
7.9%
부 65
 
7.7%
시 58
 
6.9%
역 57
 
6.7%
구 56
 
6.6%
광 56
 
6.6%
거 21
 
2.5%
Other values (73) 220
26.0%
Decimal Number
ValueCountFrequency (%)
1 76
23.3%
3 43
13.2%
8 37
11.3%
2 34
10.4%
7 29
 
8.9%
5 28
 
8.6%
4 26
 
8.0%
0 25
 
7.7%
6 17
 
5.2%
9 11
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
S 3
16.7%
K 3
16.7%
E 2
11.1%
W 2
11.1%
I 2
11.1%
V 2
11.1%
B 2
11.1%
C 1
 
5.6%
A 1
 
5.6%
Space Separator
ValueCountFrequency (%)
233
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 845
57.1%
Common 618
41.7%
Latin 18
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 92
10.9%
연 78
 
9.2%
동 75
 
8.9%
제 67
 
7.9%
부 65
 
7.7%
시 58
 
6.9%
역 57
 
6.7%
구 56
 
6.6%
광 56
 
6.6%
거 21
 
2.5%
Other values (73) 220
26.0%
Common
ValueCountFrequency (%)
233
37.7%
1 76
 
12.3%
- 53
 
8.6%
3 43
 
7.0%
8 37
 
6.0%
2 34
 
5.5%
7 29
 
4.7%
5 28
 
4.5%
4 26
 
4.2%
0 25
 
4.0%
Other values (4) 34
 
5.5%
Latin
ValueCountFrequency (%)
S 3
16.7%
K 3
16.7%
E 2
11.1%
W 2
11.1%
I 2
11.1%
V 2
11.1%
B 2
11.1%
C 1
 
5.6%
A 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 845
57.1%
ASCII 636
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
233
36.6%
1 76
 
11.9%
- 53
 
8.3%
3 43
 
6.8%
8 37
 
5.8%
2 34
 
5.3%
7 29
 
4.6%
5 28
 
4.4%
4 26
 
4.1%
0 25
 
3.9%
Other values (13) 52
 
8.2%
Hangul
ValueCountFrequency (%)
산 92
10.9%
연 78
 
9.2%
동 75
 
8.9%
제 67
 
7.9%
부 65
 
7.7%
시 58
 
6.9%
역 57
 
6.7%
구 56
 
6.6%
광 56
 
6.6%
거 21
 
2.5%
Other values (73) 220
26.0%

변경일자
Date

Distinct87
Distinct (%)79.1%
Missing1
Missing (%)0.9%
Memory size1020.0 B
Minimum2011-07-06 00:00:00
Maximum2023-06-01 00:00:00
2023-12-11T01:31:50.831298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:31:51.068378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-11T01:31:38.785055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:31:38.558482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:31:38.907749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:31:38.684359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:31:51.261210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록일자업종상호우편번호소재지(지번)소재지(도로명)시설면적(제곱미터)보험시작일보험종료일보험기관대표자성명대표자주소조직(단체)명조직(단체)주소변경일자
등록일자1.0000.8571.0001.0000.9980.9991.0000.9980.9980.9991.0001.0001.0000.9980.999
업종0.8571.0000.9210.0000.9430.9330.5780.0000.0000.0000.9210.9260.8800.9090.934
상호1.0000.9211.0000.9220.9991.0001.0001.0000.9990.9991.0001.0001.0001.0001.000
우편번호1.0000.0000.9221.0000.9030.8800.0001.0001.0000.6900.9221.0001.0001.0001.000
소재지(지번)0.9980.9430.9990.9031.0000.9991.0000.9920.9930.8020.9990.9990.9950.9970.999
소재지(도로명)0.9990.9331.0000.8800.9991.0001.0000.9980.9990.9531.0000.9991.0000.9980.999
시설면적(제곱미터)1.0000.5781.0000.0001.0001.0001.000NaNNaNNaN1.0001.0001.0001.0001.000
보험시작일0.9980.0001.0001.0000.9920.998NaN1.0001.0000.9641.0000.9980.9970.9980.998
보험종료일0.9980.0000.9991.0000.9930.999NaN1.0001.0000.9700.9990.9990.9970.9980.998
보험기관0.9990.0000.9990.6900.8020.953NaN0.9640.9701.0000.9990.9980.9970.9830.963
대표자성명1.0000.9211.0000.9220.9991.0001.0001.0000.9990.9991.0001.0001.0001.0001.000
대표자주소1.0000.9261.0001.0000.9990.9991.0000.9980.9990.9981.0001.0001.0000.9980.999
조직(단체)명1.0000.8801.0001.0000.9951.0001.0000.9970.9970.9971.0001.0001.0000.9971.000
조직(단체)주소0.9980.9091.0001.0000.9970.9981.0000.9980.9980.9831.0000.9980.9971.0000.996
변경일자0.9990.9341.0001.0000.9990.9991.0000.9980.9980.9631.0000.9991.0000.9961.000
2023-12-11T01:31:51.467429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종보험기관
업종1.0000.000
보험기관0.0001.000
2023-12-11T01:31:51.598338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호시설면적(제곱미터)업종보험기관
우편번호1.000-0.0630.0000.513
시설면적(제곱미터)-0.0631.0000.4951.000
업종0.0000.4951.0000.000
보험기관0.5131.0000.0001.000

Missing values

2023-12-11T01:31:39.056518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:31:39.319941image/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.
2023-12-11T01:31:39.531656image/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

등록번호등록일자업종상호우편번호소재지(지번)소재지(도로명)시설면적(제곱미터)영업상태보험시작일보험종료일보험기관대표자성명대표자주소조직(단체)명조직(단체)주소변경일자
026001-2011-0000062011-04-28국내여행업(주)애니투어611800부산광역시 연제구 거제동 2-27부산광역시 연제구 거제대로286번길 10 (거제동)40.84영업중2011-05-162012-05-16부산광역시관광협회김거중부산광역시 연제구 연산동 2134-8 8통4반 대영아파트 107호(주)애니투어부산광역시 연제구 연산동 1343-32019-01-11
126001-2012-0000052007-10-17국내여행업(주)투어일번지47550부산광역시 연제구 연산동 632-1부산광역시 연제구 쌍미천로 149-1, 1층 (연산동)<NA>영업중2021-10-132022-10-12서울보증보험(주)윤진국부산광역시 연제구 연산동 360-14 16통7반 효전빌라텔 701호(주)투어일번지경상남도 거제시 장평동 56-1 장평종합상가 153호2023-05-11
226001-2012-0000112010-12-22국내여행업고려선투어(주)611082부산광역시 연제구 연산동 822-7부산광역시 연제구 연수로 89 (연산동)<NA>영업중2023-01-222024-01-22한국관광협회중앙회김영곤부산광역시 연제구 연산동 1876-86 9통2반(주)고려선투어부산광역시 연제구 연산동 822-72012-12-07
326001-2013-0000052013-09-17국내여행업미래테마여행사47603부산광역시 연제구 연산동 775-7부산광역시 연제구 월드컵대로 25-2, 2층 (연산동)<NA>영업중2022-11-102023-11-10한국관광협회중앙회김영순부산광역시 사하구 신평동 31통1반 럭키무지개타운 1동 1203호<NA><NA>2023-02-01
426001-2014-0000012013-09-11국내여행업자비정진회여행사 주식회사47525부산광역시 연제구 거제동 1029-2 거제동원타워부산광역시 연제구 월드컵대로243번길 19, 102동 1605호 (거제동, 거제동원타워)15.6영업중2023-01-012023-12-31서울보증보험최성이부산광역시 연제구 거제동 7통6반 거제동원타워 102동 1605호(주)자비정진회 여행사부산광역시 연제구 거제동 1029-2 거제동원타워2019-07-29
526001-2014-0000052014-12-12국내여행업에이스골프(주)611724부산광역시 연제구 거제동 1491-1 801호부산광역시 연제구 법원로 20, 801호 (거제동)<NA>영업중2022-08-082023-08-07서울보증보험(주)김강석부산광역시 금정구 장전동 11통2반 벽산블루밍장전디자인시티 208동 1105호에이스골프(주)부산광역시 연제구 거제동 1491-1 동주빌딩 1303호2015-07-02
626001-2014-0000072014-12-18국내여행업(주)시원여행47520부산광역시 연제구 연산동 587-8부산광역시 연제구 중앙대로 1130 (연산동, 207호(연산동, 에스케이뷰))<NA>영업중2023-01-072024-01-06서울보증보험(주)박영진부산광역시 동래구 사직동 11통7반 사직역삼정그린코아더베스트1차 103동 201호주식회사 시원여행부산광역시 연제구 연산동 587-82017-03-23
726001-2015-0000012013-09-05국내여행업동그라미 여행사611082부산광역시 연제구 연산동 775-7부산광역시 연제구 월드컵대로 25-2, 2층 (연산동)60.0영업중2022-10-272023-10-27한국관광협회중앙회안성배부산광역시 부산진구 가야동 459-26 41통5반<NA><NA>2015-02-27
826001-2015-0000042010-11-26국내여행업(주)범주여행사47606부산광역시 연제구 연산동 859-24부산광역시 연제구 연제로 1 (연산동)<NA>영업중2022-11-102023-11-09서울보증보험이태진부산광역시 해운대구 재송동 939-2 23통10반 센텀이-편한세상아파트 105동 2002호<NA><NA>2015-05-15
926001-2015-0000062015-07-07국내여행업도윤여행사47541부산광역시 연제구 연산동 1384-6부산광역시 연제구 중앙대로1065번길 2 (연산동)<NA>영업중2021-08-242022-08-24서울보증보험(주)김도윤부산광역시 금정구 서동 209-7 11통6반 부성파크빌 202호<NA><NA>2017-05-25
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