Overview

Dataset statistics

Number of variables7
Number of observations85
Missing cells15
Missing cells (%)2.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory57.6 B

Variable types

Text3
Categorical3
Boolean1

Dataset

Description서울특별시 금천구 직업소개소 현황으로 직업소개소명, 주소, 전화번호, 구분, 유무료여부, 데이터기준일자 정보를 제공합니다.
Author서울특별시 금천구
URLhttps://www.data.go.kr/data/3081185/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
구분 is highly overall correlated with 기타 유의사항High correlation
유무료여부 is highly overall correlated with 기타 유의사항High correlation
기타 유의사항 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
전화번호 has 15 (17.6%) missing valuesMissing
직업소개소명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:19:06.004884
Analysis finished2023-12-12 22:19:06.681218
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

직업소개소명
Text

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-13T07:19:06.831681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length8.0823529
Min length4

Characters and Unicode

Total characters687
Distinct characters190
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)100.0%

Sample

1st row사단법인 한국서비스진흥협회
2nd row리딩에스앤디 주식회사
3rd row코스카건설인력㈜
4th row㈜더블유엘
5th row개미인력개발 금천
ValueCountFrequency (%)
주식회사 5
 
5.0%
사단법인 2
 
2.0%
무료직업소개소 1
 
1.0%
사)한국취업지원협회 1
 
1.0%
금천시니어클럽 1
 
1.0%
주)동서인력개발 1
 
1.0%
현대인력개발 1
 
1.0%
대동인력개발 1
 
1.0%
충남인력 1
 
1.0%
덕산건설인력 1
 
1.0%
Other values (85) 85
85.0%
2023-12-13T07:19:07.246256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 39
 
5.7%
력 28
 
4.1%
소 25
 
3.6%
개 20
 
2.9%
업 18
 
2.6%
사 16
 
2.3%
회 15
 
2.2%
주 15
 
2.2%
이 15
 
2.2%
) 15
 
2.2%
Other values (180) 481
70.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 631
91.8%
Close Punctuation 15
 
2.2%
Space Separator 15
 
2.2%
Open Punctuation 14
 
2.0%
Other Symbol 7
 
1.0%
Uppercase Letter 5
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 39
 
6.2%
력 28
 
4.4%
소 25
 
4.0%
개 20
 
3.2%
업 18
 
2.9%
사 16
 
2.5%
회 15
 
2.4%
주 15
 
2.4%
이 15
 
2.4%
스 14
 
2.2%
Other values (173) 426
67.5%
Uppercase Letter
ValueCountFrequency (%)
R 2
40.0%
H 2
40.0%
D 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 638
92.9%
Common 44
 
6.4%
Latin 5
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 39
 
6.1%
력 28
 
4.4%
소 25
 
3.9%
개 20
 
3.1%
업 18
 
2.8%
사 16
 
2.5%
회 15
 
2.4%
주 15
 
2.4%
이 15
 
2.4%
스 14
 
2.2%
Other values (174) 433
67.9%
Common
ValueCountFrequency (%)
) 15
34.1%
15
34.1%
( 14
31.8%
Latin
ValueCountFrequency (%)
R 2
40.0%
H 2
40.0%
D 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 631
91.8%
ASCII 49
 
7.1%
None 7
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 39
 
6.2%
력 28
 
4.4%
소 25
 
4.0%
개 20
 
3.2%
업 18
 
2.9%
사 16
 
2.5%
회 15
 
2.4%
주 15
 
2.4%
이 15
 
2.4%
스 14
 
2.2%
Other values (173) 426
67.5%
ASCII
ValueCountFrequency (%)
) 15
30.6%
15
30.6%
( 14
28.6%
R 2
 
4.1%
H 2
 
4.1%
D 1
 
2.0%
None
ValueCountFrequency (%)
㈜ 7
100.0%

주소
Text

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-13T07:19:07.565022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length44
Mean length36.247059
Min length19

Characters and Unicode

Total characters3081
Distinct characters154
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

Unique85 ?
Unique (%)100.0%

Sample

1st row서울특별시 금천구 가산디지털1로 142, 가산 더 스카이밸리 1차 1018, 1019호 (가산동)
2nd row서울특별시 금천구 서부샛길 606, 2405호 (가산동, 대성디폴리스지식산업센터)
3rd row서울특별시 금천구 시흥대로 475, 201호 (독산동)
4th row서울특별시 금천구 벚꽃로 244, 벽산디지털밸리5차 1308호 (가산동)
5th row서울특별시 금천구 독산로 49, 3층 (시흥동)
ValueCountFrequency (%)
서울특별시 82
 
15.2%
금천구 82
 
15.2%
가산동 27
 
5.0%
독산동 22
 
4.1%
가산디지털1로 19
 
3.5%
시흥대로 16
 
3.0%
시흥동 12
 
2.2%
가산디지털2로 5
 
0.9%
서부샛길 5
 
0.9%
가산로 5
 
0.9%
Other values (208) 264
49.0%
2023-12-13T07:19:08.070392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
455
 
14.8%
1 136
 
4.4%
시 128
 
4.2%
산 112
 
3.6%
, 97
 
3.1%
2 93
 
3.0%
동 90
 
2.9%
금 90
 
2.9%
서 87
 
2.8%
천 85
 
2.8%
Other values (144) 1708
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1762
57.2%
Decimal Number 559
 
18.1%
Space Separator 455
 
14.8%
Other Punctuation 99
 
3.2%
Close Punctuation 82
 
2.7%
Open Punctuation 82
 
2.7%
Dash Punctuation 22
 
0.7%
Uppercase Letter 20
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 128
 
7.3%
산 112
 
6.4%
동 90
 
5.1%
금 90
 
5.1%
서 87
 
4.9%
천 85
 
4.8%
별 83
 
4.7%
특 82
 
4.7%
울 82
 
4.7%
구 82
 
4.7%
Other values (120) 841
47.7%
Decimal Number
ValueCountFrequency (%)
1 136
24.3%
2 93
16.6%
3 70
12.5%
0 70
12.5%
4 45
 
8.1%
6 40
 
7.2%
5 37
 
6.6%
9 25
 
4.5%
8 23
 
4.1%
7 20
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
B 5
25.0%
T 4
20.0%
I 3
15.0%
A 3
15.0%
E 2
 
10.0%
R 1
 
5.0%
W 1
 
5.0%
O 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 97
98.0%
. 2
 
2.0%
Space Separator
ValueCountFrequency (%)
455
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1762
57.2%
Common 1299
42.2%
Latin 20
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 128
 
7.3%
산 112
 
6.4%
동 90
 
5.1%
금 90
 
5.1%
서 87
 
4.9%
천 85
 
4.8%
별 83
 
4.7%
특 82
 
4.7%
울 82
 
4.7%
구 82
 
4.7%
Other values (120) 841
47.7%
Common
ValueCountFrequency (%)
455
35.0%
1 136
 
10.5%
, 97
 
7.5%
2 93
 
7.2%
) 82
 
6.3%
( 82
 
6.3%
3 70
 
5.4%
0 70
 
5.4%
4 45
 
3.5%
6 40
 
3.1%
Other values (6) 129
 
9.9%
Latin
ValueCountFrequency (%)
B 5
25.0%
T 4
20.0%
I 3
15.0%
A 3
15.0%
E 2
 
10.0%
R 1
 
5.0%
W 1
 
5.0%
O 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1762
57.2%
ASCII 1319
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
455
34.5%
1 136
 
10.3%
, 97
 
7.4%
2 93
 
7.1%
) 82
 
6.2%
( 82
 
6.2%
3 70
 
5.3%
0 70
 
5.3%
4 45
 
3.4%
6 40
 
3.0%
Other values (14) 149
 
11.3%
Hangul
ValueCountFrequency (%)
시 128
 
7.3%
산 112
 
6.4%
동 90
 
5.1%
금 90
 
5.1%
서 87
 
4.9%
천 85
 
4.8%
별 83
 
4.7%
특 82
 
4.7%
울 82
 
4.7%
구 82
 
4.7%
Other values (120) 841
47.7%

전화번호
Text

MISSING 

Distinct70
Distinct (%)100.0%
Missing15
Missing (%)17.6%
Memory size812.0 B
2023-12-13T07:19:08.361628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.457143
Min length11

Characters and Unicode

Total characters802
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

Unique70 ?
Unique (%)100.0%

Sample

1st row02-554-4890
2nd row02-6959-3450
3rd row02-868-8202
4th row02-3444-9200
5th row02-891-7888
ValueCountFrequency (%)
02-2138-1171 1
 
1.4%
02-856-3434 1
 
1.4%
02-855-3500 1
 
1.4%
02-869-3631 1
 
1.4%
02-855-6441 1
 
1.4%
02-806-3333 1
 
1.4%
02-855-5667 1
 
1.4%
02-808-0533 1
 
1.4%
02-805-7272 1
 
1.4%
02-6012-3490 1
 
1.4%
Other values (60) 60
85.7%
2023-12-13T07:19:08.802177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 150
18.7%
- 140
17.5%
2 114
14.2%
8 70
8.7%
6 64
8.0%
3 53
 
6.6%
5 47
 
5.9%
9 45
 
5.6%
1 43
 
5.4%
7 38
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 662
82.5%
Dash Punctuation 140
 
17.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 150
22.7%
2 114
17.2%
8 70
10.6%
6 64
9.7%
3 53
 
8.0%
5 47
 
7.1%
9 45
 
6.8%
1 43
 
6.5%
7 38
 
5.7%
4 38
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 802
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 150
18.7%
- 140
17.5%
2 114
14.2%
8 70
8.7%
6 64
8.0%
3 53
 
6.6%
5 47
 
5.9%
9 45
 
5.6%
1 43
 
5.4%
7 38
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 802
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 150
18.7%
- 140
17.5%
2 114
14.2%
8 70
8.7%
6 64
8.0%
3 53
 
6.6%
5 47
 
5.9%
9 45
 
5.6%
1 43
 
5.4%
7 38
 
4.7%

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
개인
48 
법인
37 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 48
56.5%
법인 37
43.5%

Length

2023-12-13T07:19:08.960413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:19:09.066596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 48
56.5%
법인 37
43.5%

유무료여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size217.0 B
True
72 
False
13 
ValueCountFrequency (%)
True 72
84.7%
False 13
 
15.3%
2023-12-13T07:19:09.159821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-09-07
85 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-07
2nd row2023-09-07
3rd row2023-09-07
4th row2023-09-07
5th row2023-09-07

Common Values

ValueCountFrequency (%)
2023-09-07 85
100.0%

Length

2023-12-13T07:19:09.260576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:19:09.394765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-07 85
100.0%

기타 유의사항
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
<NA>
72 
데이터(전화번호) 미집계
13 

Length

Max length13
Median length4
Mean length5.3764706
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 72
84.7%
데이터(전화번호) 미집계 13
 
15.3%

Length

2023-12-13T07:19:09.504512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:19:09.599878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
73.5%
데이터(전화번호 13
 
13.3%
미집계 13
 
13.3%

Correlations

2023-12-13T07:19:09.670996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
직업소개소명주소전화번호구분유무료여부
직업소개소명1.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000
구분1.0001.0001.0001.0000.638
유무료여부1.0001.0001.0000.6381.000
2023-12-13T07:19:09.770610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분유무료여부기타 유의사항
구분1.0000.4401.000
유무료여부0.4401.0001.000
기타 유의사항1.0001.0001.000
2023-12-13T07:19:09.850046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분유무료여부기타 유의사항
구분1.0000.4401.000
유무료여부0.4401.0001.000
기타 유의사항1.0001.0001.000

Missing values

2023-12-13T07:19:06.493045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:19:06.632680image/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

직업소개소명주소전화번호구분유무료여부데이터기준일자기타 유의사항
0사단법인 한국서비스진흥협회서울특별시 금천구 가산디지털1로 142, 가산 더 스카이밸리 1차 1018, 1019호 (가산동)02-554-4890법인N2023-09-07<NA>
1리딩에스앤디 주식회사서울특별시 금천구 서부샛길 606, 2405호 (가산동, 대성디폴리스지식산업센터)02-6959-3450법인Y2023-09-07<NA>
2코스카건설인력㈜서울특별시 금천구 시흥대로 475, 201호 (독산동)02-868-8202법인Y2023-09-07<NA>
3㈜더블유엘서울특별시 금천구 벚꽃로 244, 벽산디지털밸리5차 1308호 (가산동)02-3444-9200법인Y2023-09-07<NA>
4개미인력개발 금천서울특별시 금천구 독산로 49, 3층 (시흥동)02-891-7888개인Y2023-09-07<NA>
5고려개발공사 독산인력센터서울특별시 금천구 가산로 33. 건설오피스 2층 206호 (독산동)<NA>개인Y2023-09-07데이터(전화번호) 미집계
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