Overview

Dataset statistics

Number of variables5
Number of observations44
Missing cells13
Missing cells (%)5.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory43.0 B

Variable types

Categorical1
Text3
DateTime1

Dataset

Description제주특별자치도 서귀포시 직업소개소 현황에 관한 데이터로 유무료구분, 업체명, 전화번호, 주소 정보를 제공합니다.
URLhttps://www.data.go.kr/data/3044431/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 13 (29.5%) missing valuesMissing
업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:40:29.091868
Analysis finished2023-12-12 00:40:29.473912
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

유무료구분
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
유료
36 
무료
8 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 36
81.8%
무료 8
 
18.2%

Length

2023-12-12T09:40:29.745041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:40:29.834987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 36
81.8%
무료 8
 
18.2%

업체명
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T09:40:30.017064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13.5
Mean length7.2045455
Min length4

Characters and Unicode

Total characters317
Distinct characters109
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st row동화인력
2nd row중앙용역개발
3rd row대로 직업소개소
4th row탐라간병협회
5th row성심간병
ValueCountFrequency (%)
직업소개소 2
 
4.1%
동화인력 1
 
2.0%
고치글라 1
 
2.0%
도시인력개발 1
 
2.0%
대오인력개발 1
 
2.0%
서원인력개발 1
 
2.0%
한라인력 1
 
2.0%
태평양용역 1
 
2.0%
중문제일인력개발 1
 
2.0%
천지개발 1
 
2.0%
Other values (38) 38
77.6%
2023-12-12T09:40:30.354749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
개 24
 
7.6%
인 19
 
6.0%
력 17
 
5.4%
소 17
 
5.4%
발 15
 
4.7%
업 9
 
2.8%
직 8
 
2.5%
제 8
 
2.5%
주 7
 
2.2%
서 6
 
1.9%
Other values (99) 187
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 292
92.1%
Uppercase Letter 16
 
5.0%
Space Separator 5
 
1.6%
Open Punctuation 2
 
0.6%
Close Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 24
 
8.2%
인 19
 
6.5%
력 17
 
5.8%
소 17
 
5.8%
발 15
 
5.1%
업 9
 
3.1%
직 8
 
2.7%
제 8
 
2.7%
주 7
 
2.4%
서 6
 
2.1%
Other values (86) 162
55.5%
Uppercase Letter
ValueCountFrequency (%)
Y 3
18.8%
J 2
12.5%
W 2
12.5%
C 2
12.5%
A 2
12.5%
S 1
 
6.2%
I 1
 
6.2%
M 1
 
6.2%
P 1
 
6.2%
K 1
 
6.2%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 292
92.1%
Latin 16
 
5.0%
Common 9
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 24
 
8.2%
인 19
 
6.5%
력 17
 
5.8%
소 17
 
5.8%
발 15
 
5.1%
업 9
 
3.1%
직 8
 
2.7%
제 8
 
2.7%
주 7
 
2.4%
서 6
 
2.1%
Other values (86) 162
55.5%
Latin
ValueCountFrequency (%)
Y 3
18.8%
J 2
12.5%
W 2
12.5%
C 2
12.5%
A 2
12.5%
S 1
 
6.2%
I 1
 
6.2%
M 1
 
6.2%
P 1
 
6.2%
K 1
 
6.2%
Common
ValueCountFrequency (%)
5
55.6%
( 2
 
22.2%
) 2
 
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 292
92.1%
ASCII 25
 
7.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
개 24
 
8.2%
인 19
 
6.5%
력 17
 
5.8%
소 17
 
5.8%
발 15
 
5.1%
업 9
 
3.1%
직 8
 
2.7%
제 8
 
2.7%
주 7
 
2.4%
서 6
 
2.1%
Other values (86) 162
55.5%
ASCII
ValueCountFrequency (%)
5
20.0%
Y 3
12.0%
J 2
 
8.0%
W 2
 
8.0%
C 2
 
8.0%
A 2
 
8.0%
( 2
 
8.0%
) 2
 
8.0%
S 1
 
4.0%
I 1
 
4.0%
Other values (3) 3
12.0%

전화번호
Text

MISSING 

Distinct29
Distinct (%)93.5%
Missing13
Missing (%)29.5%
Memory size484.0 B
2023-12-12T09:40:30.562318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.064516
Min length12

Characters and Unicode

Total characters374
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)87.1%

Sample

1st row064-794-0266
2nd row0507-1305-7078
3rd row064-733-1555
4th row064-782-8508
5th row064-787-1604
ValueCountFrequency (%)
064-762-1180 2
 
6.1%
064-762-1406 2
 
6.1%
064-767-1901 1
 
3.0%
064-794-0266 1
 
3.0%
064-739-8920 1
 
3.0%
064-739-0044 1
 
3.0%
9901 1
 
3.0%
762 1
 
3.0%
064 1
 
3.0%
064-732-2352 1
 
3.0%
Other values (21) 21
63.6%
2023-12-12T09:40:30.907544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 60
16.0%
0 56
15.0%
6 55
14.7%
4 48
12.8%
7 40
10.7%
8 25
6.7%
3 22
 
5.9%
2 20
 
5.3%
1 20
 
5.3%
9 17
 
4.5%
Other values (2) 11
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 312
83.4%
Dash Punctuation 60
 
16.0%
Space Separator 2
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 56
17.9%
6 55
17.6%
4 48
15.4%
7 40
12.8%
8 25
8.0%
3 22
 
7.1%
2 20
 
6.4%
1 20
 
6.4%
9 17
 
5.4%
5 9
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 374
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 60
16.0%
0 56
15.0%
6 55
14.7%
4 48
12.8%
7 40
10.7%
8 25
6.7%
3 22
 
5.9%
2 20
 
5.3%
1 20
 
5.3%
9 17
 
4.5%
Other values (2) 11
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 374
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 60
16.0%
0 56
15.0%
6 55
14.7%
4 48
12.8%
7 40
10.7%
8 25
6.7%
3 22
 
5.9%
2 20
 
5.3%
1 20
 
5.3%
9 17
 
4.5%
Other values (2) 11
 
2.9%

주소
Text

Distinct43
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T09:40:31.206463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42
Mean length30.045455
Min length23

Characters and Unicode

Total characters1322
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

Unique42 ?
Unique (%)95.5%

Sample

1st row제주특별자치도 서귀포시 중문상로 38(중문동)
2nd row제주특별자치도 서귀포시 대정읍 상모대서로 30
3rd row제주특별자치도 서귀포시 중문관광로 345 2층 (중문동)
4th row제주특별자치도 서귀포시 서문로 4 (제주 더 그레이튼 오피스텔 3층 302호) (서귀동)
5th row제주특별자치도 서귀포시 서문로 29번길 1 2층 (서귀동)
ValueCountFrequency (%)
서귀포시 45
 
17.9%
제주특별자치도 44
 
17.5%
서귀동 15
 
6.0%
2층 10
 
4.0%
동홍동 5
 
2.0%
표선면 3
 
1.2%
성산읍 3
 
1.2%
중산간동로 3
 
1.2%
3층 3
 
1.2%
1층 3
 
1.2%
Other values (104) 118
46.8%
2023-12-12T09:40:31.642947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
208
 
15.7%
서 72
 
5.4%
귀 61
 
4.6%
포 49
 
3.7%
동 49
 
3.7%
주 48
 
3.6%
제 46
 
3.5%
자 45
 
3.4%
시 45
 
3.4%
로 44
 
3.3%
Other values (102) 655
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 868
65.7%
Space Separator 208
 
15.7%
Decimal Number 155
 
11.7%
Close Punctuation 33
 
2.5%
Open Punctuation 33
 
2.5%
Other Punctuation 18
 
1.4%
Dash Punctuation 5
 
0.4%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 72
 
8.3%
귀 61
 
7.0%
포 49
 
5.6%
동 49
 
5.6%
주 48
 
5.5%
제 46
 
5.3%
자 45
 
5.2%
시 45
 
5.2%
로 44
 
5.1%
특 44
 
5.1%
Other values (85) 365
42.1%
Decimal Number
ValueCountFrequency (%)
2 35
22.6%
3 25
16.1%
1 21
13.5%
5 12
 
7.7%
8 12
 
7.7%
7 12
 
7.7%
4 12
 
7.7%
0 10
 
6.5%
6 8
 
5.2%
9 8
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
208
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 868
65.7%
Common 452
34.2%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 72
 
8.3%
귀 61
 
7.0%
포 49
 
5.6%
동 49
 
5.6%
주 48
 
5.5%
제 46
 
5.3%
자 45
 
5.2%
시 45
 
5.2%
로 44
 
5.1%
특 44
 
5.1%
Other values (85) 365
42.1%
Common
ValueCountFrequency (%)
208
46.0%
2 35
 
7.7%
) 33
 
7.3%
( 33
 
7.3%
3 25
 
5.5%
1 21
 
4.6%
, 18
 
4.0%
5 12
 
2.7%
8 12
 
2.7%
7 12
 
2.7%
Other values (5) 43
 
9.5%
Latin
ValueCountFrequency (%)
K 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 868
65.7%
ASCII 454
34.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
208
45.8%
2 35
 
7.7%
) 33
 
7.3%
( 33
 
7.3%
3 25
 
5.5%
1 21
 
4.6%
, 18
 
4.0%
5 12
 
2.6%
8 12
 
2.6%
7 12
 
2.6%
Other values (7) 45
 
9.9%
Hangul
ValueCountFrequency (%)
서 72
 
8.3%
귀 61
 
7.0%
포 49
 
5.6%
동 49
 
5.6%
주 48
 
5.5%
제 46
 
5.3%
자 45
 
5.2%
시 45
 
5.2%
로 44
 
5.1%
특 44
 
5.1%
Other values (85) 365
42.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2023-04-05 00:00:00
Maximum2023-04-05 00:00:00
2023-12-12T09:40:31.754964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:40:31.881177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T09:40:31.965340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유무료구분업체명전화번호주소
유무료구분1.0001.0000.4201.000
업체명1.0001.0001.0001.000
전화번호0.4201.0001.0001.000
주소1.0001.0001.0001.000

Missing values

2023-12-12T09:40:29.341411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:40:29.435971image/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

유무료구분업체명전화번호주소데이터기준일자
0유료동화인력<NA>제주특별자치도 서귀포시 중문상로 38(중문동)2023-04-05
1유료중앙용역개발064-794-0266제주특별자치도 서귀포시 대정읍 상모대서로 302023-04-05
2유료대로 직업소개소<NA>제주특별자치도 서귀포시 중문관광로 345 2층 (중문동)2023-04-05
3유료탐라간병협회<NA>제주특별자치도 서귀포시 서문로 4 (제주 더 그레이튼 오피스텔 3층 302호) (서귀동)2023-04-05
4유료성심간병<NA>제주특별자치도 서귀포시 서문로 29번길 1 2층 (서귀동)2023-04-05
5유료개미인력개발0507-1305-7078제주특별자치도 서귀포시 대정읍 동일하모로 225, 2층2023-04-05
6유료제주종합인력공사<NA>제주특별자치도 서귀포시 표선면 표선관정로 422023-04-05
7유료드림알케이064-733-1555제주특별자치도 서귀포시 천지연로 29, 2층 (서귀동)2023-04-05
8유료하예용역<NA>제주특별자치도 서귀포시 하예로 65, 1층 (하예동)2023-04-05
9유료KY용역<NA>제주특별자치도 서귀포시 법환로 102, 1층 (법환동)2023-04-05
유무료구분업체명전화번호주소데이터기준일자
34유료중문인력개발064-738-8842제주특별자치도 서귀포시 동홍동로32번길 28 (동홍동)2023-04-05
35유료양지직업소개소064-762-9949제주특별자치도 서귀포시 태평로335번길 25 (서귀동)2023-04-05
36무료서귀포YWCA무료직업소개소064-762-1406제주특별자치도 서귀포시 부두로 3 (서귀동)2023-04-05
37무료서귀포종합사회복지관무료직업소개소064-762-1180제주특별자치도 서귀포시 중정로 60 (서귀동)2023-04-05
38무료서귀포시장애인종합복지관직업소개소064-732-2352제주특별자치도 서귀포시 인정오름로 24 (토평동)2023-04-05
39무료서귀포시니어클럽064 762 9901제주특별자치도 서귀포시 일주동로 8711, 2층 (서귀동)2023-04-05
40무료더사람 일자리 지원센터064-739-0044제주특별자치도 서귀포시 동홍로 63 (동홍동)2023-04-05
41무료한라여성새로일하기센터064-739-8920제주특별자치도 서귀포시 신중로 50, KT신서귀포빌딩 3층 (법환동)2023-04-05
42무료고치글라064-762-0729제주특별자치도 서귀포시 칠십리로72번길 9, 서귀포시 장애인복지회관 5층 (서귀동)2023-04-05
43무료사단법인서귀포YWCA064-762-1406제주특별자치도 서귀포시 부두로 3 (서귀동)2023-04-05