Overview

Dataset statistics

Number of variables8
Number of observations460
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.9 KiB
Average record size in memory64.3 B

Variable types

Categorical3
Text5

Dataset

Description국제수산물유통시설관리사업소 내 공유재산(사무실, 점포, 상가 등) 사용허가 및 임대현황위치에 대한 데이터(호수, 용도, 대표자, 상호명, 허가기간(시작), 허가기간(끝), 임대여부)
Author부산광역시
URLhttps://www.data.go.kr/data/15023975/fileData.do

Alerts

건물명 is highly overall correlated with 용도High correlation
용도 is highly overall correlated with 건물명 and 1 other fieldsHigh correlation
임대여부 is highly overall correlated with 용도High correlation
용도 is highly imbalanced (56.7%)Imbalance
임대여부 is highly imbalanced (86.1%)Imbalance

Reproduction

Analysis started2024-03-30 08:31:02.183248
Analysis finished2024-03-30 08:31:06.731293
Duration4.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건물명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
도매시장동(2층)
168 
도매시장동(3층)
120 
시장회관동
83 
수산가공선진화단지
69 
활어보관동(2층)
 
13
Other values (3)
 
7

Length

Max length9
Median length9
Mean length8.273913
Min length5

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
도매시장동(2층) 168
36.5%
도매시장동(3층) 120
26.1%
시장회관동 83
18.0%
수산가공선진화단지 69
15.0%
활어보관동(2층) 13
 
2.8%
활어보관동(3층) 5
 
1.1%
활어보관동(1층) 1
 
0.2%
냉동냉장창고동 1
 
0.2%

Length

2024-03-30T08:31:07.003319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T08:31:07.387650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도매시장동(2층 168
36.5%
도매시장동(3층 120
26.1%
시장회관동 83
18.0%
수산가공선진화단지 69
15.0%
활어보관동(2층 13
 
2.8%
활어보관동(3층 5
 
1.1%
활어보관동(1층 1
 
0.2%
냉동냉장창고동 1
 
0.2%

호수
Text

Distinct333
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-03-30T08:31:08.144956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length19
Mean length4.2869565
Min length2

Characters and Unicode

Total characters1972
Distinct characters20
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

Unique209 ?
Unique (%)45.4%

Sample

1st row101호
2nd row102호
3rd row105호
4th row201호
5th row202호
ValueCountFrequency (%)
b동 52
 
9.6%
a동 22
 
4.1%
304호 4
 
0.7%
404호 4
 
0.7%
303호 4
 
0.7%
202호 3
 
0.6%
305호 3
 
0.6%
102호 3
 
0.6%
301호 3
 
0.6%
302호 3
 
0.6%
Other values (274) 438
81.3%
2024-03-30T08:31:09.460900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
호 477
24.2%
1 233
11.8%
0 211
10.7%
2 144
 
7.3%
3 113
 
5.7%
6 110
 
5.6%
4 105
 
5.3%
5 97
 
4.9%
7 86
 
4.4%
79
 
4.0%
Other values (10) 317
16.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1238
62.8%
Other Letter 555
28.1%
Space Separator 79
 
4.0%
Uppercase Letter 74
 
3.8%
Other Punctuation 18
 
0.9%
Dash Punctuation 6
 
0.3%
Math Symbol 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 233
18.8%
0 211
17.0%
2 144
11.6%
3 113
9.1%
6 110
8.9%
4 105
8.5%
5 97
7.8%
7 86
 
6.9%
8 75
 
6.1%
9 64
 
5.2%
Other Letter
ValueCountFrequency (%)
호 477
85.9%
동 74
 
13.3%
체 2
 
0.4%
전 2
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
B 52
70.3%
A 22
29.7%
Space Separator
ValueCountFrequency (%)
79
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1343
68.1%
Hangul 555
28.1%
Latin 74
 
3.8%

Most frequent character per script

Common
ValueCountFrequency (%)
1 233
17.3%
0 211
15.7%
2 144
10.7%
3 113
8.4%
6 110
8.2%
4 105
7.8%
5 97
7.2%
7 86
 
6.4%
79
 
5.9%
8 75
 
5.6%
Other values (4) 90
 
6.7%
Hangul
ValueCountFrequency (%)
호 477
85.9%
동 74
 
13.3%
체 2
 
0.4%
전 2
 
0.4%
Latin
ValueCountFrequency (%)
B 52
70.3%
A 22
29.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1417
71.9%
Hangul 555
 
28.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
호 477
85.9%
동 74
 
13.3%
체 2
 
0.4%
전 2
 
0.4%
ASCII
ValueCountFrequency (%)
1 233
16.4%
0 211
14.9%
2 144
10.2%
3 113
8.0%
6 110
7.8%
4 105
7.4%
5 97
6.8%
7 86
 
6.1%
79
 
5.6%
8 75
 
5.3%
Other values (6) 164
11.6%

용도
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct15
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
사무실
224 
점포
167 
수산물가공공장
52 
하역인대기실
 
4
연구지원시설
 
3
Other values (10)
 
10

Length

Max length7
Median length6
Mean length3.1543478
Min length2

Unique

Unique10 ?
Unique (%)2.2%

Sample

1st row24시편의점
2nd row은행
3rd row상품매장
4th row사무실
5th row사무실

Common Values

ValueCountFrequency (%)
사무실 224
48.7%
점포 167
36.3%
수산물가공공장 52
 
11.3%
하역인대기실 4
 
0.9%
연구지원시설 3
 
0.7%
24시편의점 1
 
0.2%
은행 1
 
0.2%
상품매장 1
 
0.2%
목욕탕 1
 
0.2%
변전실 1
 
0.2%
Other values (5) 5
 
1.1%

Length

2024-03-30T08:31:09.918620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사무실 224
48.7%
점포 167
36.3%
수산물가공공장 52
 
11.3%
하역인대기실 4
 
0.9%
연구지원시설 3
 
0.7%
24시편의점 1
 
0.2%
은행 1
 
0.2%
상품매장 1
 
0.2%
목욕탕 1
 
0.2%
변전실 1
 
0.2%
Other values (5) 5
 
1.1%

대표자
Text

Distinct265
Distinct (%)57.6%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-03-30T08:31:10.558980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length3
Mean length3.5326087
Min length2

Characters and Unicode

Total characters1625
Distinct characters224
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique185 ?
Unique (%)40.2%

Sample

1st row김경숙
2nd row미허가
3rd row박소현
4th row김동현
5th row이영주
ValueCountFrequency (%)
김동영 13
 
2.8%
조정호 13
 
2.8%
미허가 12
 
2.6%
㈜블루씨푸드 9
 
1.9%
㈜대아인터내셔널 9
 
1.9%
최용진 8
 
1.7%
강현미 8
 
1.7%
이차선 7
 
1.5%
여상구 7
 
1.5%
최재우 6
 
1.3%
Other values (262) 375
80.3%
2024-03-30T08:31:11.712858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 80
 
4.9%
이 72
 
4.4%
㈜ 64
 
3.9%
정 53
 
3.3%
영 46
 
2.8%
최 37
 
2.3%
박 37
 
2.3%
성 35
 
2.2%
현 29
 
1.8%
호 28
 
1.7%
Other values (214) 1144
70.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1541
94.8%
Other Symbol 64
 
3.9%
Uppercase Letter 9
 
0.6%
Space Separator 7
 
0.4%
Other Punctuation 2
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 80
 
5.2%
이 72
 
4.7%
정 53
 
3.4%
영 46
 
3.0%
최 37
 
2.4%
박 37
 
2.4%
성 35
 
2.3%
현 29
 
1.9%
호 28
 
1.8%
동 27
 
1.8%
Other values (200) 1097
71.2%
Uppercase Letter
ValueCountFrequency (%)
T 1
11.1%
O 1
11.1%
S 1
11.1%
Y 1
11.1%
E 1
11.1%
I 1
11.1%
H 1
11.1%
K 1
11.1%
N 1
11.1%
Other Symbol
ValueCountFrequency (%)
㈜ 64
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1605
98.8%
Common 11
 
0.7%
Latin 9
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 80
 
5.0%
이 72
 
4.5%
㈜ 64
 
4.0%
정 53
 
3.3%
영 46
 
2.9%
최 37
 
2.3%
박 37
 
2.3%
성 35
 
2.2%
현 29
 
1.8%
호 28
 
1.7%
Other values (201) 1124
70.0%
Latin
ValueCountFrequency (%)
T 1
11.1%
O 1
11.1%
S 1
11.1%
Y 1
11.1%
E 1
11.1%
I 1
11.1%
H 1
11.1%
K 1
11.1%
N 1
11.1%
Common
ValueCountFrequency (%)
7
63.6%
, 2
 
18.2%
( 1
 
9.1%
) 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1541
94.8%
None 64
 
3.9%
ASCII 20
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 80
 
5.2%
이 72
 
4.7%
정 53
 
3.4%
영 46
 
3.0%
최 37
 
2.4%
박 37
 
2.4%
성 35
 
2.3%
현 29
 
1.9%
호 28
 
1.8%
동 27
 
1.8%
Other values (200) 1097
71.2%
None
ValueCountFrequency (%)
㈜ 64
100.0%
ASCII
ValueCountFrequency (%)
7
35.0%
, 2
 
10.0%
( 1
 
5.0%
) 1
 
5.0%
T 1
 
5.0%
O 1
 
5.0%
S 1
 
5.0%
Y 1
 
5.0%
E 1
 
5.0%
I 1
 
5.0%
Other values (3) 3
15.0%

상호명
Text

Distinct272
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-03-30T08:31:12.270230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length4.7608696
Min length2

Characters and Unicode

Total characters2190
Distinct characters271
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique197 ?
Unique (%)42.8%

Sample

1st row세븐일레븐
2nd row미허가
3rd row아이엠푸드
4th row은강기업
5th row㈜남해무억
ValueCountFrequency (%)
자갈치닷컴 13
 
2.8%
참맛참치 13
 
2.8%
미허가 12
 
2.5%
조선섭 9
 
1.9%
곽동원 9
 
1.9%
가람수산 8
 
1.7%
부산이오 8
 
1.7%
천지수산 7
 
1.5%
세대트레이드 7
 
1.5%
국제수산 7
 
1.5%
Other values (271) 378
80.3%
2024-03-30T08:31:13.331953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 138
 
6.3%
수 111
 
5.1%
㈜ 109
 
5.0%
이 82
 
3.7%
드 54
 
2.5%
푸 41
 
1.9%
스 40
 
1.8%
치 35
 
1.6%
에 35
 
1.6%
씨 32
 
1.5%
Other values (261) 1513
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2003
91.5%
Other Symbol 109
 
5.0%
Uppercase Letter 28
 
1.3%
Close Punctuation 15
 
0.7%
Open Punctuation 15
 
0.7%
Space Separator 11
 
0.5%
Other Punctuation 6
 
0.3%
Lowercase Letter 2
 
0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 138
 
6.9%
수 111
 
5.5%
이 82
 
4.1%
드 54
 
2.7%
푸 41
 
2.0%
스 40
 
2.0%
치 35
 
1.7%
에 35
 
1.7%
씨 32
 
1.6%
참 27
 
1.3%
Other values (236) 1408
70.3%
Uppercase Letter
ValueCountFrequency (%)
F 4
14.3%
N 3
10.7%
J 2
 
7.1%
O 2
 
7.1%
G 2
 
7.1%
I 2
 
7.1%
T 2
 
7.1%
K 2
 
7.1%
S 2
 
7.1%
U 1
 
3.6%
Other values (6) 6
21.4%
Other Punctuation
ValueCountFrequency (%)
. 3
50.0%
& 3
50.0%
Lowercase Letter
ValueCountFrequency (%)
o 1
50.0%
s 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 109
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2112
96.4%
Common 48
 
2.2%
Latin 30
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 138
 
6.5%
수 111
 
5.3%
㈜ 109
 
5.2%
이 82
 
3.9%
드 54
 
2.6%
푸 41
 
1.9%
스 40
 
1.9%
치 35
 
1.7%
에 35
 
1.7%
씨 32
 
1.5%
Other values (237) 1435
67.9%
Latin
ValueCountFrequency (%)
F 4
13.3%
N 3
 
10.0%
J 2
 
6.7%
O 2
 
6.7%
G 2
 
6.7%
I 2
 
6.7%
T 2
 
6.7%
K 2
 
6.7%
S 2
 
6.7%
U 1
 
3.3%
Other values (8) 8
26.7%
Common
ValueCountFrequency (%)
) 15
31.2%
( 15
31.2%
11
22.9%
. 3
 
6.2%
& 3
 
6.2%
2 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2003
91.5%
None 109
 
5.0%
ASCII 78
 
3.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 138
 
6.9%
수 111
 
5.5%
이 82
 
4.1%
드 54
 
2.7%
푸 41
 
2.0%
스 40
 
2.0%
치 35
 
1.7%
에 35
 
1.7%
씨 32
 
1.6%
참 27
 
1.3%
Other values (236) 1408
70.3%
None
ValueCountFrequency (%)
㈜ 109
100.0%
ASCII
ValueCountFrequency (%)
) 15
19.2%
( 15
19.2%
11
14.1%
F 4
 
5.1%
. 3
 
3.8%
& 3
 
3.8%
N 3
 
3.8%
J 2
 
2.6%
O 2
 
2.6%
G 2
 
2.6%
Other values (14) 18
23.1%

허가기간(시작)
Text

Distinct291
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-03-30T08:31:13.969779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.7391304
Min length2

Characters and Unicode

Total characters4480
Distinct characters19
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique201 ?
Unique (%)43.7%

Sample

1st row2022-09-27
2nd row미허가
3rd row2023-05-14
4th row2020-10-12
5th row2022-12-06
ValueCountFrequency (%)
미허가 14
 
3.0%
2023-03-04 8
 
1.7%
2023-02-09 7
 
1.5%
2023-03-07 5
 
1.1%
2023-06-13 5
 
1.1%
2022-02-28 5
 
1.1%
2022-03-14 5
 
1.1%
2023-01-01 5
 
1.1%
2022-01-29 4
 
0.9%
2022-02-18 4
 
0.9%
Other values (281) 398
86.5%
2024-03-30T08:31:15.107479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1266
28.3%
0 1074
24.0%
- 886
19.8%
1 450
 
10.0%
3 285
 
6.4%
5 84
 
1.9%
7 83
 
1.9%
9 81
 
1.8%
8 78
 
1.7%
6 72
 
1.6%
Other values (9) 121
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3544
79.1%
Dash Punctuation 886
 
19.8%
Other Letter 50
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1266
35.7%
0 1074
30.3%
1 450
 
12.7%
3 285
 
8.0%
5 84
 
2.4%
7 83
 
2.3%
9 81
 
2.3%
8 78
 
2.2%
6 72
 
2.0%
4 71
 
2.0%
Other Letter
ValueCountFrequency (%)
가 15
30.0%
허 15
30.0%
미 14
28.0%
실 2
 
4.0%
변 1
 
2.0%
전 1
 
2.0%
통 1
 
2.0%
신 1
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 886
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4430
98.9%
Hangul 50
 
1.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1266
28.6%
0 1074
24.2%
- 886
20.0%
1 450
 
10.2%
3 285
 
6.4%
5 84
 
1.9%
7 83
 
1.9%
9 81
 
1.8%
8 78
 
1.8%
6 72
 
1.6%
Hangul
ValueCountFrequency (%)
가 15
30.0%
허 15
30.0%
미 14
28.0%
실 2
 
4.0%
변 1
 
2.0%
전 1
 
2.0%
통 1
 
2.0%
신 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4430
98.9%
Hangul 50
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1266
28.6%
0 1074
24.2%
- 886
20.0%
1 450
 
10.2%
3 285
 
6.4%
5 84
 
1.9%
7 83
 
1.9%
9 81
 
1.8%
8 78
 
1.8%
6 72
 
1.6%
Hangul
ValueCountFrequency (%)
가 15
30.0%
허 15
30.0%
미 14
28.0%
실 2
 
4.0%
변 1
 
2.0%
전 1
 
2.0%
통 1
 
2.0%
신 1
 
2.0%

허가기간(끝)
Text

Distinct295
Distinct (%)64.1%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-03-30T08:31:15.769314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length9.75
Min length2

Characters and Unicode

Total characters4485
Distinct characters23
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique205 ?
Unique (%)44.6%

Sample

1st row2027-09-26
2nd row미허가
3rd row2028-05-13
4th row2025-10-11
5th row2027-12-05
ValueCountFrequency (%)
미허가 14
 
3.0%
2025-03-03 8
 
1.7%
2025-02-08 7
 
1.5%
2024-12-31 6
 
1.3%
2025-06-12 5
 
1.1%
2025-05-31 5
 
1.1%
2025-01-21 5
 
1.1%
2025-03-06 5
 
1.1%
2023-10-14 4
 
0.9%
2025-03-23 4
 
0.9%
Other values (285) 397
86.3%
2024-03-30T08:31:16.935854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1124
25.1%
0 1010
22.5%
- 886
19.8%
1 360
 
8.0%
5 241
 
5.4%
4 214
 
4.8%
3 193
 
4.3%
6 117
 
2.6%
7 114
 
2.5%
8 106
 
2.4%
Other values (13) 120
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3545
79.0%
Dash Punctuation 886
 
19.8%
Other Letter 52
 
1.2%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1124
31.7%
0 1010
28.5%
1 360
 
10.2%
5 241
 
6.8%
4 214
 
6.0%
3 193
 
5.4%
6 117
 
3.3%
7 114
 
3.2%
8 106
 
3.0%
9 66
 
1.9%
Other Letter
ValueCountFrequency (%)
가 15
28.8%
허 15
28.8%
미 14
26.9%
실 2
 
3.8%
변 1
 
1.9%
전 1
 
1.9%
개 1
 
1.9%
월 1
 
1.9%
통 1
 
1.9%
신 1
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 886
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4433
98.8%
Hangul 52
 
1.2%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1124
25.4%
0 1010
22.8%
- 886
20.0%
1 360
 
8.1%
5 241
 
5.4%
4 214
 
4.8%
3 193
 
4.4%
6 117
 
2.6%
7 114
 
2.6%
8 106
 
2.4%
Other values (3) 68
 
1.5%
Hangul
ValueCountFrequency (%)
가 15
28.8%
허 15
28.8%
미 14
26.9%
실 2
 
3.8%
변 1
 
1.9%
전 1
 
1.9%
개 1
 
1.9%
월 1
 
1.9%
통 1
 
1.9%
신 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4433
98.8%
Hangul 52
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1124
25.4%
0 1010
22.8%
- 886
20.0%
1 360
 
8.1%
5 241
 
5.4%
4 214
 
4.8%
3 193
 
4.4%
6 117
 
2.6%
7 114
 
2.6%
8 106
 
2.4%
Other values (3) 68
 
1.5%
Hangul
ValueCountFrequency (%)
가 15
28.8%
허 15
28.8%
미 14
26.9%
실 2
 
3.8%
변 1
 
1.9%
전 1
 
1.9%
개 1
 
1.9%
월 1
 
1.9%
통 1
 
1.9%
신 1
 
1.9%

임대여부
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
허가
438 
미허가
 
18
무상사용
 
2
돌제부두 변전실
 
1
통신실
 
1

Length

Max length8
Median length2
Mean length2.0630435
Min length2

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row허가
2nd row미허가
3rd row허가
4th row허가
5th row허가

Common Values

ValueCountFrequency (%)
허가 438
95.2%
미허가 18
 
3.9%
무상사용 2
 
0.4%
돌제부두 변전실 1
 
0.2%
통신실 1
 
0.2%

Length

2024-03-30T08:31:17.380583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T08:31:17.679898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
허가 438
95.0%
미허가 18
 
3.9%
무상사용 2
 
0.4%
돌제부두 1
 
0.2%
변전실 1
 
0.2%
통신실 1
 
0.2%

Correlations

2024-03-30T08:31:18.102800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건물명용도임대여부
건물명1.0000.9330.000
용도0.9331.0000.949
임대여부0.0000.9491.000
2024-03-30T08:31:18.344386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
용도임대여부건물명
용도1.0000.7000.752
임대여부0.7001.0000.000
건물명0.7520.0001.000
2024-03-30T08:31:18.614482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건물명용도임대여부
건물명1.0000.7520.000
용도0.7521.0000.700
임대여부0.0000.7001.000

Missing values

2024-03-30T08:31:06.139570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-30T08:31:06.587898image/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

건물명호수용도대표자상호명허가기간(시작)허가기간(끝)임대여부
0시장회관동101호24시편의점김경숙세븐일레븐2022-09-272027-09-26허가
1시장회관동102호은행미허가미허가미허가미허가미허가
2시장회관동105호상품매장박소현아이엠푸드2023-05-142028-05-13허가
3시장회관동201호사무실김동현은강기업2020-10-122025-10-11허가
4시장회관동202호사무실이영주㈜남해무억2022-12-062027-12-05허가
5시장회관동203호사무실김우석선어냉동물류2020-01-102025-01-09허가
6시장회관동204호사무실김준성제이스씨푸드2020-06-122025-06-11허가
7시장회관동205호사무실신현섭나눔유통2023-03-082028-03-07허가
8시장회관동207호목욕탕유성근㈜동해상사2022-02-202027-02-19허가
9시장회관동303호사무실유창균성신유통2020-09-012025-08-31허가
건물명호수용도대표자상호명허가기간(시작)허가기간(끝)임대여부
450수산가공선진화단지B동 612호사무실오성에프앤에프 푸드시스템㈜2019-01-312024-01-30허가
451수산가공선진화단지B동 613호사무실야마와키 카츠토시㈜야마야푸즈서비스2020-04-152025-04-14허가
452수산가공선진화단지B동 614호사무실한지아에이치수산2022-03-102027-03-09허가
453수산가공선진화단지B동 701호사무실김갑주㈜더블유디엔코리아2023-11-132028-11-12허가
454수산가공선진화단지B동 702호사무실임중률㈜오션스코리아2021-12-132026-12-12허가
455수산가공선진화단지B동 703호사무실정보철대웅수산㈜2022-06-102027-06-09허가
456수산가공선진화단지B동 704호사무실이강석㈜락피쉬2022-07-052027-07-04허가
457수산가공선진화단지B동 705호연구지원시설배기일(사)한국수산무역협회2021-12-092026-12-08허가
458수산가공선진화단지B동 706호사무실정종식㈜하나교역2020-04-012025-03-31허가
459수산가공선진화단지B동 707호사무실조영택노스퍼시픽2022-10-012027-09-30허가