Overview

Dataset statistics

Number of variables5
Number of observations704
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.3 KiB
Average record size in memory41.2 B

Variable types

Numeric1
Text4

Dataset

Description한국장애인고용공단의 개인정보 업무위탁 현황 입니다. 본 자료는 한국장애인고용공단 홈페이지에서도 확인하실 수 있습니다. 데이터의 갱신주는 연 1회입니다.
URLhttps://www.data.go.kr/data/15117330/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:21:14.346089
Analysis finished2023-12-12 05:21:15.121702
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct704
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean352.5
Minimum1
Maximum704
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-12-12T14:21:15.217106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile36.15
Q1176.75
median352.5
Q3528.25
95-th percentile668.85
Maximum704
Range703
Interquartile range (IQR)351.5

Descriptive statistics

Standard deviation203.37158
Coefficient of variation (CV)0.57694066
Kurtosis-1.2
Mean352.5
Median Absolute Deviation (MAD)176
Skewness0
Sum248160
Variance41360
MonotonicityStrictly increasing
2023-12-12T14:21:15.702703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
354 1
 
0.1%
466 1
 
0.1%
467 1
 
0.1%
468 1
 
0.1%
469 1
 
0.1%
470 1
 
0.1%
471 1
 
0.1%
472 1
 
0.1%
473 1
 
0.1%
Other values (694) 694
98.6%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
704 1
0.1%
703 1
0.1%
702 1
0.1%
701 1
0.1%
700 1
0.1%
699 1
0.1%
698 1
0.1%
697 1
0.1%
696 1
0.1%
695 1
0.1%

위탁사업부서
Text

Distinct68
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2023-12-12T14:21:15.971784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length11.259943
Min length5

Characters and Unicode

Total characters7927
Distinct characters76
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.6%

Sample

1st row기획조정실 혁신기획부
2nd row기획조정실 운영지원부
3rd row기획조정실 운영지원부
4th row기획조정실 인재개발부
5th row기획조정실 정보지원부
ValueCountFrequency (%)
취업지원부 346
24.8%
기업지원부 302
21.6%
서울남부지사 54
 
3.9%
경기지역본부 40
 
2.9%
경기북부지사 36
 
2.6%
경남지사 33
 
2.4%
전남지사 33
 
2.4%
전북지사 33
 
2.4%
서울북부지사 32
 
2.3%
서울동부지사 32
 
2.3%
Other values (42) 455
32.6%
2023-12-12T14:21:16.368375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 1323
16.7%
부 1121
14.1%
708
 
8.9%
원 697
 
8.8%
업 666
 
8.4%
사 469
 
5.9%
기 447
 
5.6%
취 347
 
4.4%
경 190
 
2.4%
본 189
 
2.4%
Other values (66) 1770
22.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7219
91.1%
Space Separator 708
 
8.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 1323
18.3%
부 1121
15.5%
원 697
9.7%
업 666
9.2%
사 469
 
6.5%
기 447
 
6.2%
취 347
 
4.8%
경 190
 
2.6%
본 189
 
2.6%
역 189
 
2.6%
Other values (65) 1581
21.9%
Space Separator
ValueCountFrequency (%)
708
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7219
91.1%
Common 708
 
8.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 1323
18.3%
부 1121
15.5%
원 697
9.7%
업 666
9.2%
사 469
 
6.5%
기 447
 
6.2%
취 347
 
4.8%
경 190
 
2.6%
본 189
 
2.6%
역 189
 
2.6%
Other values (65) 1581
21.9%
Common
ValueCountFrequency (%)
708
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7219
91.1%
ASCII 708
 
8.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 1323
18.3%
부 1121
15.5%
원 697
9.7%
업 666
9.2%
사 469
 
6.5%
기 447
 
6.2%
취 347
 
4.8%
경 190
 
2.6%
본 189
 
2.6%
역 189
 
2.6%
Other values (65) 1581
21.9%
ASCII
ValueCountFrequency (%)
708
100.0%

위탁사업명
Text

Distinct113
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2023-12-12T14:21:16.646397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length27
Mean length12.617898
Min length4

Characters and Unicode

Total characters8883
Distinct characters161
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

Unique43 ?
Unique (%)6.1%

Sample

1st row공공기관 고객만족도 및 국민인식도 조사
2nd row청사 무인경비시스템 운영 관리
3rd row현업근로자 정기안전보건교육
4th row출퇴근관리시스템
5th row정보시스템 통합유지관리
ValueCountFrequency (%)
사업 148
 
7.9%
근로지원인 141
 
7.5%
장애인 126
 
6.7%
지원사업 106
 
5.7%
지원고용 102
 
5.5%
직장 101
 
5.4%
내 101
 
5.4%
강사지원 92
 
4.9%
인식개선 83
 
4.4%
교육 61
 
3.3%
Other values (127) 807
43.2%
2023-12-12T14:21:17.133486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1175
 
13.2%
지 784
 
8.8%
원 780
 
8.8%
사 599
 
6.7%
인 583
 
6.6%
업 567
 
6.4%
장 378
 
4.3%
애 267
 
3.0%
용 204
 
2.3%
직 200
 
2.3%
Other values (151) 3346
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7649
86.1%
Space Separator 1175
 
13.2%
Decimal Number 39
 
0.4%
Uppercase Letter 7
 
0.1%
Other Punctuation 5
 
0.1%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 784
 
10.2%
원 780
 
10.2%
사 599
 
7.8%
인 583
 
7.6%
업 567
 
7.4%
장 378
 
4.9%
애 267
 
3.5%
용 204
 
2.7%
직 200
 
2.6%
고 193
 
2.5%
Other values (138) 3094
40.4%
Uppercase Letter
ValueCountFrequency (%)
S 2
28.6%
C 2
28.6%
N 1
14.3%
V 1
14.3%
T 1
14.3%
Decimal Number
ValueCountFrequency (%)
2 20
51.3%
3 10
25.6%
0 9
23.1%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
/ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
1175
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7649
86.1%
Common 1227
 
13.8%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 784
 
10.2%
원 780
 
10.2%
사 599
 
7.8%
인 583
 
7.6%
업 567
 
7.4%
장 378
 
4.9%
애 267
 
3.5%
용 204
 
2.7%
직 200
 
2.6%
고 193
 
2.5%
Other values (138) 3094
40.4%
Common
ValueCountFrequency (%)
1175
95.8%
2 20
 
1.6%
3 10
 
0.8%
0 9
 
0.7%
, 4
 
0.3%
( 4
 
0.3%
) 4
 
0.3%
/ 1
 
0.1%
Latin
ValueCountFrequency (%)
S 2
28.6%
C 2
28.6%
N 1
14.3%
V 1
14.3%
T 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7649
86.1%
ASCII 1234
 
13.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1175
95.2%
2 20
 
1.6%
3 10
 
0.8%
0 9
 
0.7%
, 4
 
0.3%
( 4
 
0.3%
) 4
 
0.3%
S 2
 
0.2%
C 2
 
0.2%
N 1
 
0.1%
Other values (3) 3
 
0.2%
Hangul
ValueCountFrequency (%)
지 784
 
10.2%
원 780
 
10.2%
사 599
 
7.8%
인 583
 
7.6%
업 567
 
7.4%
장 378
 
4.9%
애 267
 
3.5%
용 204
 
2.7%
직 200
 
2.6%
고 193
 
2.5%
Other values (138) 3094
40.4%

수탁업체
Text

Distinct588
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2023-12-12T14:21:17.414416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length11.637784
Min length3

Characters and Unicode

Total characters8193
Distinct characters355
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

Unique501 ?
Unique (%)71.2%

Sample

1st row한국조세재정연구원
2nd row(주)왓치캅
3rd row(주)오피유커스
4th row(주)에스원
5th row㈜오파스넷
ValueCountFrequency (%)
사단법인 40
 
4.5%
사회적협동조합 18
 
2.0%
사회복지법인 7
 
0.8%
사)대한안마사협회 7
 
0.8%
대한안마사협회 7
 
0.8%
충남협회 6
 
0.7%
사)한국장애인고용안정협회 5
 
0.6%
다우리 5
 
0.6%
사)경기도시각장애인연합회 5
 
0.6%
사)대구광역시장애인재활협회 4
 
0.5%
Other values (621) 781
88.2%
2023-12-12T14:21:17.954572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 582
 
7.1%
장 478
 
5.8%
애 463
 
5.7%
지 338
 
4.1%
회 270
 
3.3%
복 254
 
3.1%
사 251
 
3.1%
관 217
 
2.6%
시 211
 
2.6%
186
 
2.3%
Other values (345) 4943
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7699
94.0%
Space Separator 186
 
2.3%
Close Punctuation 137
 
1.7%
Open Punctuation 127
 
1.6%
Uppercase Letter 21
 
0.3%
Lowercase Letter 12
 
0.1%
Other Symbol 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 582
 
7.6%
장 478
 
6.2%
애 463
 
6.0%
지 338
 
4.4%
회 270
 
3.5%
복 254
 
3.3%
사 251
 
3.3%
관 217
 
2.8%
시 211
 
2.7%
합 185
 
2.4%
Other values (324) 4450
57.8%
Uppercase Letter
ValueCountFrequency (%)
K 3
14.3%
P 2
9.5%
D 2
9.5%
A 2
9.5%
G 2
9.5%
I 2
9.5%
N 2
9.5%
T 2
9.5%
S 1
 
4.8%
M 1
 
4.8%
Other values (2) 2
9.5%
Lowercase Letter
ValueCountFrequency (%)
o 6
50.0%
b 2
 
16.7%
d 2
 
16.7%
e 1
 
8.3%
j 1
 
8.3%
Space Separator
ValueCountFrequency (%)
186
100.0%
Close Punctuation
ValueCountFrequency (%)
) 137
100.0%
Open Punctuation
ValueCountFrequency (%)
( 127
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7710
94.1%
Common 450
 
5.5%
Latin 33
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 582
 
7.5%
장 478
 
6.2%
애 463
 
6.0%
지 338
 
4.4%
회 270
 
3.5%
복 254
 
3.3%
사 251
 
3.3%
관 217
 
2.8%
시 211
 
2.7%
합 185
 
2.4%
Other values (325) 4461
57.9%
Latin
ValueCountFrequency (%)
o 6
18.2%
K 3
 
9.1%
P 2
 
6.1%
D 2
 
6.1%
A 2
 
6.1%
b 2
 
6.1%
d 2
 
6.1%
G 2
 
6.1%
I 2
 
6.1%
N 2
 
6.1%
Other values (7) 8
24.2%
Common
ValueCountFrequency (%)
186
41.3%
) 137
30.4%
( 127
28.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7699
94.0%
ASCII 483
 
5.9%
None 11
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 582
 
7.6%
장 478
 
6.2%
애 463
 
6.0%
지 338
 
4.4%
회 270
 
3.5%
복 254
 
3.3%
사 251
 
3.3%
관 217
 
2.8%
시 211
 
2.7%
합 185
 
2.4%
Other values (324) 4450
57.8%
ASCII
ValueCountFrequency (%)
186
38.5%
) 137
28.4%
( 127
26.3%
o 6
 
1.2%
K 3
 
0.6%
P 2
 
0.4%
D 2
 
0.4%
A 2
 
0.4%
b 2
 
0.4%
d 2
 
0.4%
Other values (10) 14
 
2.9%
None
ValueCountFrequency (%)
㈜ 11
100.0%

위탁기간
Text

Distinct147
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2023-12-12T14:21:18.253466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length20.980114
Min length20

Characters and Unicode

Total characters14770
Distinct characters13
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)11.2%

Sample

1st row2022-12-16~2023-04-14
2nd row2021-09-01~2023-08-31
3rd row2023-03-20~2023-12-31
4th row2021-03-01~2024-02-28
5th row2023-01-01~2024-12-31
ValueCountFrequency (%)
2023-01-01~2024-12-31 68
 
9.7%
2022-01-01~2023-12-31 62
 
8.8%
2023-01-01~2023-12-31 44
 
6.2%
2023-02-28~2023-12-31 37
 
5.3%
2023-03-02~2023-12-31 36
 
5.1%
2023-01-02~2023-12-31 29
 
4.1%
2023-02-09~2023-12-31 25
 
3.6%
2022-03-01~2023-12-31 24
 
3.4%
2023-02-27~2023-12-31 18
 
2.6%
2023-01-10~2023-12-31 16
 
2.3%
Other values (137) 345
49.0%
2023-12-12T14:21:18.694317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 4086
27.7%
- 2816
19.1%
0 2627
17.8%
1 2100
14.2%
3 1952
13.2%
~ 694
 
4.7%
4 179
 
1.2%
8 73
 
0.5%
7 65
 
0.4%
5 59
 
0.4%
Other values (3) 119
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11250
76.2%
Dash Punctuation 2816
 
19.1%
Math Symbol 704
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4086
36.3%
0 2627
23.4%
1 2100
18.7%
3 1952
17.4%
4 179
 
1.6%
8 73
 
0.6%
7 65
 
0.6%
5 59
 
0.5%
9 57
 
0.5%
6 52
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 694
98.6%
∼ 10
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 2816
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14770
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 4086
27.7%
- 2816
19.1%
0 2627
17.8%
1 2100
14.2%
3 1952
13.2%
~ 694
 
4.7%
4 179
 
1.2%
8 73
 
0.5%
7 65
 
0.4%
5 59
 
0.4%
Other values (3) 119
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14760
99.9%
Math Operators 10
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 4086
27.7%
- 2816
19.1%
0 2627
17.8%
1 2100
14.2%
3 1952
13.2%
~ 694
 
4.7%
4 179
 
1.2%
8 73
 
0.5%
7 65
 
0.4%
5 59
 
0.4%
Other values (2) 109
 
0.7%
Math Operators
ValueCountFrequency (%)
∼ 10
100.0%

Interactions

2023-12-12T14:21:14.776191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:21:18.815131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위탁사업부서
연번1.0000.996
위탁사업부서0.9961.000

Missing values

2023-12-12T14:21:14.946741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:21:15.071300image/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

연번위탁사업부서위탁사업명수탁업체위탁기간
01기획조정실 혁신기획부공공기관 고객만족도 및 국민인식도 조사한국조세재정연구원2022-12-16~2023-04-14
12기획조정실 운영지원부청사 무인경비시스템 운영 관리(주)왓치캅2021-09-01~2023-08-31
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