Overview

Dataset statistics

Number of variables8
Number of observations54
Missing cells20
Missing cells (%)4.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory67.4 B

Variable types

Numeric1
Categorical3
Text3
DateTime1

Dataset

Description서울특별시 동작구 직업소개소 현황에 관한 정보로 유무료구분, 법인명, 등록일자, 전화번호, 주소 등에 관한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15114803/fileData.do

Alerts

운영상태 has constant value ""Constant
기준일자 has constant value ""Constant
순번 is highly overall correlated with 유무료구분High correlation
유무료구분 is highly overall correlated with 순번High correlation
사업소전화번호 has 20 (37.0%) missing valuesMissing
순번 has unique valuesUnique
법인명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:28:26.332105
Analysis finished2023-12-12 11:28:27.432977
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.5
Minimum1
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-12T20:28:27.584830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.65
Q114.25
median27.5
Q340.75
95-th percentile51.35
Maximum54
Range53
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation15.732133
Coefficient of variation (CV)0.57207755
Kurtosis-1.2
Mean27.5
Median Absolute Deviation (MAD)13.5
Skewness0
Sum1485
Variance247.5
MonotonicityStrictly increasing
2023-12-12T20:28:27.851684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
42 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
38 1
 
1.9%
Other values (44) 44
81.5%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
54 1
1.9%
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%

유무료구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
유료
46 
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 46
85.2%
무료 8
 
14.8%

Length

2023-12-12T20:28:28.149935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:28:28.310671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 46
85.2%
무료 8
 
14.8%

법인명
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-12T20:28:28.652878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length7.5740741
Min length3

Characters and Unicode

Total characters409
Distinct characters153
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

Unique54 ?
Unique (%)100.0%

Sample

1st row킴 국제 직업연구소
2nd row든든한 파출부 동작구점
3rd row반온제이파트너스
4th row영동인력개발
5th row건영인력(동작점)
ValueCountFrequency (%)
직업소개소 2
 
2.9%
킴 1
 
1.4%
동작여성인력개발센터 1
 
1.4%
동아직업소개소 1
 
1.4%
현대직업소개소 1
 
1.4%
삼성취업 1
 
1.4%
아우토반 1
 
1.4%
푸른도우미 1
 
1.4%
ok파출 1
 
1.4%
가나직업소개소 1
 
1.4%
Other values (59) 59
84.3%
2023-12-12T20:28:29.309811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 23
 
5.6%
업 18
 
4.4%
16
 
3.9%
개 15
 
3.7%
인 15
 
3.7%
직 13
 
3.2%
동 12
 
2.9%
력 9
 
2.2%
작 8
 
2.0%
사 7
 
1.7%
Other values (143) 273
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 371
90.7%
Space Separator 16
 
3.9%
Decimal Number 5
 
1.2%
Uppercase Letter 5
 
1.2%
Close Punctuation 4
 
1.0%
Open Punctuation 4
 
1.0%
Other Punctuation 3
 
0.7%
Math Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 23
 
6.2%
업 18
 
4.9%
개 15
 
4.0%
인 15
 
4.0%
직 13
 
3.5%
동 12
 
3.2%
력 9
 
2.4%
작 8
 
2.2%
사 7
 
1.9%
파 6
 
1.6%
Other values (129) 245
66.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
20.0%
O 1
20.0%
B 1
20.0%
I 1
20.0%
F 1
20.0%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
0 1
20.0%
4 1
20.0%
5 1
20.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 371
90.7%
Common 33
 
8.1%
Latin 5
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 23
 
6.2%
업 18
 
4.9%
개 15
 
4.0%
인 15
 
4.0%
직 13
 
3.5%
동 12
 
3.2%
력 9
 
2.4%
작 8
 
2.2%
사 7
 
1.9%
파 6
 
1.6%
Other values (129) 245
66.0%
Common
ValueCountFrequency (%)
16
48.5%
) 4
 
12.1%
( 4
 
12.1%
. 3
 
9.1%
1 2
 
6.1%
0 1
 
3.0%
+ 1
 
3.0%
4 1
 
3.0%
5 1
 
3.0%
Latin
ValueCountFrequency (%)
K 1
20.0%
O 1
20.0%
B 1
20.0%
I 1
20.0%
F 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 371
90.7%
ASCII 38
 
9.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 23
 
6.2%
업 18
 
4.9%
개 15
 
4.0%
인 15
 
4.0%
직 13
 
3.5%
동 12
 
3.2%
력 9
 
2.4%
작 8
 
2.2%
사 7
 
1.9%
파 6
 
1.6%
Other values (129) 245
66.0%
ASCII
ValueCountFrequency (%)
16
42.1%
) 4
 
10.5%
( 4
 
10.5%
. 3
 
7.9%
1 2
 
5.3%
0 1
 
2.6%
+ 1
 
2.6%
4 1
 
2.6%
K 1
 
2.6%
O 1
 
2.6%
Other values (4) 4
 
10.5%

운영상태
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
영업중
54 

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 54
100.0%

Length

2023-12-12T20:28:29.570540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:28:29.736250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 54
100.0%

등록일자
Date

Distinct51
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum1996-11-29 00:00:00
Maximum2023-04-24 00:00:00
2023-12-12T20:28:29.915827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:30.153810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업소전화번호
Text

MISSING 

Distinct34
Distinct (%)100.0%
Missing20
Missing (%)37.0%
Memory size564.0 B
2023-12-12T20:28:30.532373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.205882
Min length11

Characters and Unicode

Total characters381
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

Unique34 ?
Unique (%)100.0%

Sample

1st row02-812-9247
2nd row02-6261-6606
3rd row02-597-5508
4th row02-534-0409
5th row02-3280-3579
ValueCountFrequency (%)
02-586-3888 1
 
2.9%
02-825-0011 1
 
2.9%
02-822-2033 1
 
2.9%
02-525-1121 1
 
2.9%
02-826-5013 1
 
2.9%
02-841-2077 1
 
2.9%
02-846-1570 1
 
2.9%
02-549-0506 1
 
2.9%
02-830-8272 1
 
2.9%
02-6261-6606 1
 
2.9%
Other values (24) 24
70.6%
2023-12-12T20:28:31.115674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 68
17.8%
2 63
16.5%
0 61
16.0%
8 35
9.2%
5 30
7.9%
3 25
 
6.6%
1 25
 
6.6%
7 21
 
5.5%
4 21
 
5.5%
6 18
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 313
82.2%
Dash Punctuation 68
 
17.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 63
20.1%
0 61
19.5%
8 35
11.2%
5 30
9.6%
3 25
 
8.0%
1 25
 
8.0%
7 21
 
6.7%
4 21
 
6.7%
6 18
 
5.8%
9 14
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 381
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 68
17.8%
2 63
16.5%
0 61
16.0%
8 35
9.2%
5 30
7.9%
3 25
 
6.6%
1 25
 
6.6%
7 21
 
5.5%
4 21
 
5.5%
6 18
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 381
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 68
17.8%
2 63
16.5%
0 61
16.0%
8 35
9.2%
5 30
7.9%
3 25
 
6.6%
1 25
 
6.6%
7 21
 
5.5%
4 21
 
5.5%
6 18
 
4.7%

사업소도로명주소
Text

Distinct53
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-12T20:28:31.505224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length41
Mean length33.962963
Min length16

Characters and Unicode

Total characters1834
Distinct characters119
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

Unique52 ?
Unique (%)96.3%

Sample

1st row서울특별시 동작구 강남초등2길 24. 1층 101호 (상도1동)
2nd row서울특별시 동작구 동작대로29길 91. 상가1동 215호 (사당동. 사당우성아파트)
3rd row서울특별시 동작구 등용로 38. 상가동 B1층 140호 (상도동. 상도동래미안(1차)아파트)
4th row서울특별시 동작구 동작대로35길 55. B02호호 (사당동)
5th row서울특별시 동작구 여의대방로24길 140. 윤치과의원 302호 (신대방동)
ValueCountFrequency (%)
서울특별시 54
 
15.7%
동작구 53
 
15.4%
사당동 23
 
6.7%
상도동 10
 
2.9%
신대방동 7
 
2.0%
노량진동 6
 
1.7%
2층 5
 
1.4%
대방동 5
 
1.4%
3층 4
 
1.2%
동작대로29길 4
 
1.2%
Other values (131) 174
50.4%
2023-12-12T20:28:32.160751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
291
 
15.9%
동 132
 
7.2%
작 70
 
3.8%
1 69
 
3.8%
시 60
 
3.3%
서 56
 
3.1%
) 56
 
3.1%
울 56
 
3.1%
( 56
 
3.1%
특 54
 
2.9%
Other values (109) 934
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1099
59.9%
Space Separator 291
 
15.9%
Decimal Number 275
 
15.0%
Close Punctuation 56
 
3.1%
Open Punctuation 56
 
3.1%
Other Punctuation 49
 
2.7%
Dash Punctuation 4
 
0.2%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 132
 
12.0%
작 70
 
6.4%
시 60
 
5.5%
서 56
 
5.1%
울 56
 
5.1%
특 54
 
4.9%
별 54
 
4.9%
구 54
 
4.9%
로 52
 
4.7%
대 44
 
4.0%
Other values (92) 467
42.5%
Decimal Number
ValueCountFrequency (%)
1 69
25.1%
2 48
17.5%
3 32
11.6%
4 30
10.9%
0 27
 
9.8%
6 21
 
7.6%
9 17
 
6.2%
5 14
 
5.1%
7 9
 
3.3%
8 8
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%
Space Separator
ValueCountFrequency (%)
291
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Other Punctuation
ValueCountFrequency (%)
. 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1099
59.9%
Common 731
39.9%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 132
 
12.0%
작 70
 
6.4%
시 60
 
5.5%
서 56
 
5.1%
울 56
 
5.1%
특 54
 
4.9%
별 54
 
4.9%
구 54
 
4.9%
로 52
 
4.7%
대 44
 
4.0%
Other values (92) 467
42.5%
Common
ValueCountFrequency (%)
291
39.8%
1 69
 
9.4%
) 56
 
7.7%
( 56
 
7.7%
. 49
 
6.7%
2 48
 
6.6%
3 32
 
4.4%
4 30
 
4.1%
0 27
 
3.7%
6 21
 
2.9%
Other values (5) 52
 
7.1%
Latin
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1099
59.9%
ASCII 735
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
291
39.6%
1 69
 
9.4%
) 56
 
7.6%
( 56
 
7.6%
. 49
 
6.7%
2 48
 
6.5%
3 32
 
4.4%
4 30
 
4.1%
0 27
 
3.7%
6 21
 
2.9%
Other values (7) 56
 
7.6%
Hangul
ValueCountFrequency (%)
동 132
 
12.0%
작 70
 
6.4%
시 60
 
5.5%
서 56
 
5.1%
울 56
 
5.1%
특 54
 
4.9%
별 54
 
4.9%
구 54
 
4.9%
로 52
 
4.7%
대 44
 
4.0%
Other values (92) 467
42.5%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-06-14
54 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-14
2nd row2023-06-14
3rd row2023-06-14
4th row2023-06-14
5th row2023-06-14

Common Values

ValueCountFrequency (%)
2023-06-14 54
100.0%

Length

2023-12-12T20:28:32.908809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:28:33.087994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-14 54
100.0%

Interactions

2023-12-12T20:28:26.871176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:28:33.201590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번유무료구분법인명등록일자사업소전화번호사업소도로명주소
순번1.0000.7621.0001.0001.0000.935
유무료구분0.7621.0001.0001.0001.0001.000
법인명1.0001.0001.0001.0001.0001.000
등록일자1.0001.0001.0001.0001.0000.990
사업소전화번호1.0001.0001.0001.0001.0001.000
사업소도로명주소0.9351.0001.0000.9901.0001.000
2023-12-12T20:28:33.376374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번유무료구분
순번1.0000.550
유무료구분0.5501.000

Missing values

2023-12-12T20:28:27.052382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:28:27.280767image/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

순번유무료구분법인명운영상태등록일자사업소전화번호사업소도로명주소기준일자
01유료킴 국제 직업연구소영업중2023-04-24<NA>서울특별시 동작구 강남초등2길 24. 1층 101호 (상도1동)2023-06-14
12유료든든한 파출부 동작구점영업중2023-04-19<NA>서울특별시 동작구 동작대로29길 91. 상가1동 215호 (사당동. 사당우성아파트)2023-06-14
23유료반온제이파트너스영업중2023-04-19<NA>서울특별시 동작구 등용로 38. 상가동 B1층 140호 (상도동. 상도동래미안(1차)아파트)2023-06-14
34유료영동인력개발영업중2023-03-29<NA>서울특별시 동작구 동작대로35길 55. B02호호 (사당동)2023-06-14
45유료건영인력(동작점)영업중2023-02-10<NA>서울특별시 동작구 여의대방로24길 140. 윤치과의원 302호 (신대방동)2023-06-14
56유료강남케어영업중2023-02-07<NA>서울특별시 동작구 시흥대로 606. 125호 (신대방동. 동작 협성휴포레 시그니처)2023-06-14
67유료사당인력파출부영업중2022-12-19<NA>서울특별시 동작구 사당로30길 166. 3층 (사당동)2023-06-14
78유료(주)용림개발영업중2022-12-0402-812-9247서울특별시 동작구 장승배기로 64. 202호 (상도동. 백경아파트)2023-06-14
89유료F.I.B.영업중2022-10-1802-6261-6606서울특별시 동작구 사당로13길 86. 현대아파트 상가 201호 (사당동)2023-06-14
910유료주식회사 은진영업중2021-12-20<NA>서울특별시 동작구 여의대방로26길 22. 본사사옥 2층 (대방동)2023-06-14
순번유무료구분법인명운영상태등록일자사업소전화번호사업소도로명주소기준일자
4445유료제일직업소개소영업중2007-06-08<NA>서울특별시 동작구 만양로 84. 삼익주상복합상가 161호 (노량진동. 삼익주상복합아파트)2023-06-14
4546유료일일구 취업영업중2006-12-0702-832-5119서울특별시 영등포구 시흥대로 621-1. 2층 (대림동)2023-06-14
4647무료동작노인종합복지관영업중2006-11-1302-823-0064서울특별시 동작구 상도로11길 7 (대방동)2023-06-14
4748유료한국인력영업중2005-05-3102-823-8600서울특별시 동작구 상도로 129 (상도동)2023-06-14
4849유료동양인력영업중2005-05-30<NA>서울특별시 동작구 대림로 12. 2층 (신대방동)2023-06-14
4950유료예빛파출넷 동작점영업중2004-12-0802-592-1119서울특별시 동작구 동작대로29길 110. 상가동 3층 306호 (사당동. 신동아아파트)2023-06-14
5051유료다경인력영업중2002-12-3002-592-7771서울특별시 동작구 동작대로31길 2 (사당동)2023-06-14
5152유료동성직업소개소영업중2002-08-1402-591-3651서울특별시 동작구 동작대로7길 74. 402호 (사당동)2023-06-14
5253유료두리온닷컴영업중2002-04-0202-3471-0477서울특별시 동작구 남부순환로 2061 (사당동)2023-06-14
5354유료정수진직업소개소영업중1996-11-2902-817-3111서울특별시 동작구 장승배기로27길 7 (노량진동)2023-06-14