Overview

Dataset statistics

Number of variables6
Number of observations72
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory49.8 B

Variable types

Text3
Categorical3

Dataset

Description경상남도 거제시에 현재 운영 중인 유무료 직업소개소 현황입니다.(직업소개소명, 도로명주소, 전화번호, 위도, 경도, 데이터기준일)
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3079268

Alerts

기준일자 has constant value ""Constant
유무료구분 is highly imbalanced (89.4%)Imbalance
법인개인구분 is highly imbalanced (63.6%)Imbalance
등록번호 has unique valuesUnique
상호명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:57:56.973656
Analysis finished2023-12-10 23:57:57.493204
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-11T08:57:57.631801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters1656
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

Unique72 ?
Unique (%)100.0%

Sample

1st row2019-5370226-14-5-00014
2nd row2019-5370226-14-5-00013
3rd row2019-5370226-14-5-00012
4th row2019-5370226-14-5-00011
5th row2019-5370226-14-5-00010
ValueCountFrequency (%)
2019-5370226-14-5-00014 1
 
1.4%
2019-5370226-14-5-00013 1
 
1.4%
2007-5370106-14-5-00004 1
 
1.4%
2007-5370106-14-5-00007 1
 
1.4%
2007-5370106-14-5-00010 1
 
1.4%
2008-5370106-14-5-00018 1
 
1.4%
2008-5370106-14-5-00019 1
 
1.4%
2009-5370106-14-5-00001 1
 
1.4%
2006-5370010-11-5-00018 1
 
1.4%
2009-5370106-14-5-00003 1
 
1.4%
Other values (62) 62
86.1%
2023-12-11T08:57:57.966200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 492
29.7%
- 288
17.4%
1 230
13.9%
5 168
 
10.1%
2 138
 
8.3%
3 91
 
5.5%
7 85
 
5.1%
4 70
 
4.2%
6 54
 
3.3%
9 26
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1368
82.6%
Dash Punctuation 288
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 492
36.0%
1 230
16.8%
5 168
 
12.3%
2 138
 
10.1%
3 91
 
6.7%
7 85
 
6.2%
4 70
 
5.1%
6 54
 
3.9%
9 26
 
1.9%
8 14
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 288
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1656
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 492
29.7%
- 288
17.4%
1 230
13.9%
5 168
 
10.1%
2 138
 
8.3%
3 91
 
5.5%
7 85
 
5.1%
4 70
 
4.2%
6 54
 
3.3%
9 26
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1656
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 492
29.7%
- 288
17.4%
1 230
13.9%
5 168
 
10.1%
2 138
 
8.3%
3 91
 
5.5%
7 85
 
5.1%
4 70
 
4.2%
6 54
 
3.3%
9 26
 
1.6%

유무료구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
유료
71 
무료
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
유료 71
98.6%
무료 1
 
1.4%

Length

2023-12-11T08:57:58.097542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:58.186026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 71
98.6%
무료 1
 
1.4%

상호명
Text

UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-11T08:57:58.357824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length6.6666667
Min length2

Characters and Unicode

Total characters480
Distinct characters148
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

Unique72 ?
Unique (%)100.0%

Sample

1st row(주)에스엠글로벌
2nd row장평탑가사원
3rd row베스트파트너
4th row세정인력
5th row한정개발
ValueCountFrequency (%)
직업소개소 5
 
5.7%
삼성인력 2
 
2.3%
종합인력 2
 
2.3%
주)에스엠글로벌 1
 
1.1%
열린 1
 
1.1%
그린건설인력 1
 
1.1%
고현 1
 
1.1%
거제인력 1
 
1.1%
b.b직업소개소 1
 
1.1%
미소천사직업소개소 1
 
1.1%
Other values (71) 71
81.6%
2023-12-11T08:57:58.830438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 44
 
9.2%
인 32
 
6.7%
력 31
 
6.5%
개 26
 
5.4%
업 21
 
4.4%
직 21
 
4.4%
15
 
3.1%
사 14
 
2.9%
가 12
 
2.5%
원 12
 
2.5%
Other values (138) 252
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 433
90.2%
Uppercase Letter 17
 
3.5%
Space Separator 15
 
3.1%
Other Punctuation 5
 
1.0%
Decimal Number 4
 
0.8%
Open Punctuation 3
 
0.6%
Close Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 44
 
10.2%
인 32
 
7.4%
력 31
 
7.2%
개 26
 
6.0%
업 21
 
4.8%
직 21
 
4.8%
사 14
 
3.2%
가 12
 
2.8%
원 12
 
2.8%
거 11
 
2.5%
Other values (118) 209
48.3%
Uppercase Letter
ValueCountFrequency (%)
B 3
17.6%
E 2
11.8%
N 2
11.8%
C 1
 
5.9%
A 1
 
5.9%
F 1
 
5.9%
M 1
 
5.9%
I 1
 
5.9%
H 1
 
5.9%
O 1
 
5.9%
Other values (3) 3
17.6%
Other Punctuation
ValueCountFrequency (%)
. 4
80.0%
· 1
 
20.0%
Decimal Number
ValueCountFrequency (%)
0 3
75.0%
2 1
 
25.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 433
90.2%
Common 30
 
6.2%
Latin 17
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 44
 
10.2%
인 32
 
7.4%
력 31
 
7.2%
개 26
 
6.0%
업 21
 
4.8%
직 21
 
4.8%
사 14
 
3.2%
가 12
 
2.8%
원 12
 
2.8%
거 11
 
2.5%
Other values (118) 209
48.3%
Latin
ValueCountFrequency (%)
B 3
17.6%
E 2
11.8%
N 2
11.8%
C 1
 
5.9%
A 1
 
5.9%
F 1
 
5.9%
M 1
 
5.9%
I 1
 
5.9%
H 1
 
5.9%
O 1
 
5.9%
Other values (3) 3
17.6%
Common
ValueCountFrequency (%)
15
50.0%
. 4
 
13.3%
0 3
 
10.0%
( 3
 
10.0%
) 3
 
10.0%
· 1
 
3.3%
2 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 433
90.2%
ASCII 46
 
9.6%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 44
 
10.2%
인 32
 
7.4%
력 31
 
7.2%
개 26
 
6.0%
업 21
 
4.8%
직 21
 
4.8%
사 14
 
3.2%
가 12
 
2.8%
원 12
 
2.8%
거 11
 
2.5%
Other values (118) 209
48.3%
ASCII
ValueCountFrequency (%)
15
32.6%
. 4
 
8.7%
0 3
 
6.5%
( 3
 
6.5%
) 3
 
6.5%
B 3
 
6.5%
E 2
 
4.3%
N 2
 
4.3%
C 1
 
2.2%
A 1
 
2.2%
Other values (9) 9
19.6%
None
ValueCountFrequency (%)
· 1
100.0%

법인개인구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
개인
67 
법인
 
5

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row법인
2nd row개인
3rd row개인
4th row개인
5th row개인

Common Values

ValueCountFrequency (%)
개인 67
93.1%
법인 5
 
6.9%

Length

2023-12-11T08:57:58.975668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:59.069741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 67
93.1%
법인 5
 
6.9%

사업소주소
Text

Distinct70
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-11T08:57:59.354308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length35
Mean length28.527778
Min length9

Characters and Unicode

Total characters2054
Distinct characters112
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)94.4%

Sample

1st row경상남도 거제시 장평1로 152. 2층 (장평동)
2nd row경상남도 거제시 장평로 59-1. 1층 (장평동)
3rd row경상남도 거제시 거제중앙로15길 42. 302호 (고현동)
4th row경상남도 거제시 거제중앙로 1883-2. 고현종합시장 216호 (고현동)
5th row경상남도 거제시 장평3로2길 1. 101호 (장평동)
ValueCountFrequency (%)
경상남도 71
 
16.7%
거제시 71
 
16.7%
고현동 39
 
9.2%
2층 13
 
3.1%
옥포동 11
 
2.6%
1층 9
 
2.1%
고현로 7
 
1.6%
3 5
 
1.2%
고현천로 4
 
0.9%
거제중앙로 4
 
0.9%
Other values (145) 192
45.1%
2023-12-11T08:57:59.892540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
354
 
17.2%
거 95
 
4.6%
제 95
 
4.6%
1 94
 
4.6%
상 77
 
3.7%
동 75
 
3.7%
경 74
 
3.6%
시 73
 
3.6%
남 71
 
3.5%
도 71
 
3.5%
Other values (102) 975
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1173
57.1%
Space Separator 354
 
17.2%
Decimal Number 319
 
15.5%
Open Punctuation 68
 
3.3%
Close Punctuation 68
 
3.3%
Other Punctuation 56
 
2.7%
Dash Punctuation 14
 
0.7%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 95
 
8.1%
제 95
 
8.1%
상 77
 
6.6%
동 75
 
6.4%
경 74
 
6.3%
시 73
 
6.2%
남 71
 
6.1%
도 71
 
6.1%
로 67
 
5.7%
현 57
 
4.9%
Other values (86) 418
35.6%
Decimal Number
ValueCountFrequency (%)
1 94
29.5%
2 65
20.4%
3 39
12.2%
0 27
 
8.5%
4 22
 
6.9%
5 21
 
6.6%
7 16
 
5.0%
8 14
 
4.4%
6 12
 
3.8%
9 9
 
2.8%
Space Separator
ValueCountFrequency (%)
354
100.0%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%
Other Punctuation
ValueCountFrequency (%)
. 56
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1173
57.1%
Common 879
42.8%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 95
 
8.1%
제 95
 
8.1%
상 77
 
6.6%
동 75
 
6.4%
경 74
 
6.3%
시 73
 
6.2%
남 71
 
6.1%
도 71
 
6.1%
로 67
 
5.7%
현 57
 
4.9%
Other values (86) 418
35.6%
Common
ValueCountFrequency (%)
354
40.3%
1 94
 
10.7%
( 68
 
7.7%
) 68
 
7.7%
2 65
 
7.4%
. 56
 
6.4%
3 39
 
4.4%
0 27
 
3.1%
4 22
 
2.5%
5 21
 
2.4%
Other values (5) 65
 
7.4%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1173
57.1%
ASCII 881
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
354
40.2%
1 94
 
10.7%
( 68
 
7.7%
) 68
 
7.7%
2 65
 
7.4%
. 56
 
6.4%
3 39
 
4.4%
0 27
 
3.1%
4 22
 
2.5%
5 21
 
2.4%
Other values (6) 67
 
7.6%
Hangul
ValueCountFrequency (%)
거 95
 
8.1%
제 95
 
8.1%
상 77
 
6.6%
동 75
 
6.4%
경 74
 
6.3%
시 73
 
6.2%
남 71
 
6.1%
도 71
 
6.1%
로 67
 
5.7%
현 57
 
4.9%
Other values (86) 418
35.6%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
2019-10-31
72 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-10-31
2nd row2019-10-31
3rd row2019-10-31
4th row2019-10-31
5th row2019-10-31

Common Values

ValueCountFrequency (%)
2019-10-31 72
100.0%

Length

2023-12-11T08:58:00.052941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:58:00.164344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-10-31 72
100.0%

Correlations

2023-12-11T08:58:00.230736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록번호유무료구분상호명법인개인구분사업소주소
등록번호1.0001.0001.0001.0001.000
유무료구분1.0001.0001.0000.2551.000
상호명1.0001.0001.0001.0001.000
법인개인구분1.0000.2551.0001.0000.000
사업소주소1.0001.0001.0000.0001.000
2023-12-11T08:58:00.323265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법인개인구분유무료구분
법인개인구분1.0000.163
유무료구분0.1631.000
2023-12-11T08:58:00.405498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유무료구분법인개인구분
유무료구분1.0000.163
법인개인구분0.1631.000

Missing values

2023-12-11T08:57:57.296127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:57:57.440586image/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

등록번호유무료구분상호명법인개인구분사업소주소기준일자
02019-5370226-14-5-00014유료(주)에스엠글로벌법인경상남도 거제시 장평1로 152. 2층 (장평동)2019-10-31
12019-5370226-14-5-00013유료장평탑가사원개인경상남도 거제시 장평로 59-1. 1층 (장평동)2019-10-31
22019-5370226-14-5-00012유료베스트파트너개인경상남도 거제시 거제중앙로15길 42. 302호 (고현동)2019-10-31
32019-5370226-14-5-00011유료세정인력개인경상남도 거제시 거제중앙로 1883-2. 고현종합시장 216호 (고현동)2019-10-31
42019-5370226-14-5-00010유료한정개발개인경상남도 거제시 장평3로2길 1. 101호 (장평동)2019-10-31
52019-5370226-14-5-00009유료(주)참성실한 삼성인력법인경상남도 거제시 고현로14길 23. 3층 (고현동)2019-10-31
62019-5370226-14-5-00008유료맘모스개인경상남도 거제시 능포로 131. 201호 (능포동)2019-10-31
72019-5370226-14-5-00006유료주식회사 클린법인경상남도 거제시 고현천로 74 (고현동)2019-10-31
82019-5370226-14-5-00005유료원ONE개인경상남도 거제시 아주1로 8. 스타타워2차 505호 (아주동)2019-10-31
92019-5370226-14-5-00004유료유림가사원개인경상남도 거제시 서문로3길 3. 2층 (고현동)2019-10-31
등록번호유무료구분상호명법인개인구분사업소주소기준일자
622005-5370010-11-5-00003유료한일인력공사개인경상남도 거제시 고현로 121 (고현동)2019-10-31
632004-5370010-11-5-00013유료하이디 직업소개소개인경상남도 거제시 서문로 54-2. 대성장여관 2층 (고현동)2019-10-31
642004-5370010-11-5-00009유료I.M.F 인력소개인경상남도 거제시 중곡로 3 (고현동.2층)2019-10-31
652004-5370010-11-5-00007유료길손가사원개인경상남도 거제시 옥포대첩로6길 10. 상가호 (옥포동. 미진골든타워)2019-10-31
662004-5370010-11-5-00006유료우리가사원개인경상남도 거제시 거제대로 4779-5. 거제조경공사 2층 (고현동)2019-10-31
672003-5370010-11-5-00013유료우리인력개인경상남도 거제시 탑곡로2길 18. 101호 (아주동)2019-10-31
682003-5370010-11-5-00012유료새거제 종합인력개인경상남도 거제시 옥포로26길 15 (옥포동)2019-10-31
692003-5370010-11-5-00007유료아주인력개인경상남도 거제시 아주3길 5-2 (아주동.2동)2019-10-31
702002-5370010-11-5-00009유료터미널인력개인경상남도 거제시 고현로11길 3 (고현동)2019-10-31
712002-5370010-11-5-00011유료대성유료직업소개소개인경상남도 거제시 옥포대첩로3길 27 (옥포동)2019-10-31