Overview

Dataset statistics

Number of variables5
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory44.0 B

Variable types

Text4
Categorical1

Dataset

Description2023년 기준 전라남도청 개인정보 처리업무 위탁 현황에 대한 정보(위탁업무명, 수탁사명, 위탁기관, 소관부서 등)를 조회하실 수 있습니다.
Author전라남도
URLhttps://www.data.go.kr/data/15126317/fileData.do

Reproduction

Analysis started2024-03-15 02:28:57.073279
Analysis finished2024-03-15 02:28:58.404525
Duration1.33 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-03-15T11:28:59.184998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length13.625
Min length6

Characters and Unicode

Total characters436
Distinct characters146
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)93.8%

Sample

1st row전라남도 대표 홈페이지 등 통합유지보수 용역
2nd row도 대표 소셜미디어 매체 운영 용역
3rd row청렴 자가학습시스템 운영
4th row온나라시스템
5th row시도행정유지관리 용역
ValueCountFrequency (%)
운영 8
 
9.9%
전라남도립대학교 3
 
3.7%
용역 3
 
3.7%
홈페이지 3
 
3.7%
대표 3
 
3.7%
전라남도 3
 
3.7%
유지관리 2
 
2.5%
인터넷 2
 
2.5%
운영관리 2
 
2.5%
원서접수 2
 
2.5%
Other values (50) 50
61.7%
2024-03-15T11:29:00.654541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49
 
11.2%
14
 
3.2%
13
 
3.0%
13
 
3.0%
13
 
3.0%
12
 
2.8%
11
 
2.5%
11
 
2.5%
11
 
2.5%
11
 
2.5%
Other values (136) 278
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 374
85.8%
Space Separator 49
 
11.2%
Uppercase Letter 8
 
1.8%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%
Letter Number 1
 
0.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
 
3.7%
13
 
3.5%
13
 
3.5%
13
 
3.5%
12
 
3.2%
11
 
2.9%
11
 
2.9%
11
 
2.9%
11
 
2.9%
10
 
2.7%
Other values (123) 255
68.2%
Uppercase Letter
ValueCountFrequency (%)
K 2
25.0%
C 1
12.5%
I 1
12.5%
S 1
12.5%
A 1
12.5%
R 1
12.5%
O 1
12.5%
Space Separator
ValueCountFrequency (%)
49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 374
85.8%
Common 53
 
12.2%
Latin 9
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
 
3.7%
13
 
3.5%
13
 
3.5%
13
 
3.5%
12
 
3.2%
11
 
2.9%
11
 
2.9%
11
 
2.9%
11
 
2.9%
10
 
2.7%
Other values (123) 255
68.2%
Latin
ValueCountFrequency (%)
K 2
22.2%
C 1
11.1%
I 1
11.1%
S 1
11.1%
1
11.1%
A 1
11.1%
R 1
11.1%
O 1
11.1%
Common
ValueCountFrequency (%)
49
92.5%
) 1
 
1.9%
( 1
 
1.9%
, 1
 
1.9%
- 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 374
85.8%
ASCII 61
 
14.0%
Number Forms 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49
80.3%
K 2
 
3.3%
) 1
 
1.6%
( 1
 
1.6%
C 1
 
1.6%
I 1
 
1.6%
S 1
 
1.6%
, 1
 
1.6%
A 1
 
1.6%
R 1
 
1.6%
Other values (2) 2
 
3.3%
Hangul
ValueCountFrequency (%)
14
 
3.7%
13
 
3.5%
13
 
3.5%
13
 
3.5%
12
 
3.2%
11
 
2.9%
11
 
2.9%
11
 
2.9%
11
 
2.9%
10
 
2.7%
Other values (123) 255
68.2%
Number Forms
ValueCountFrequency (%)
1
100.0%
Distinct22
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-03-15T11:29:01.390601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length12
Mean length8.6875
Min length3

Characters and Unicode

Total characters278
Distinct characters100
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)56.2%

Sample

1st row㈜트로닉스
2nd row온비즈
3rd row㈜이노크루
4th row㈜케이엘정보통신
5th row한국지역정보개발원
ValueCountFrequency (%)
㈜케이엘정보통신 5
 
13.9%
한국지역정보개발원 5
 
13.9%
대한결핵협회 2
 
5.6%
㈜동부이엔씨 2
 
5.6%
내일의료재단 1
 
2.8%
㈜트로닉스 1
 
2.8%
대한안전연합 1
 
2.8%
성가롤로병원 1
 
2.8%
목포한국병원 1
 
2.8%
㈜유웨이어플라이 1
 
2.8%
Other values (16) 16
44.4%
2024-03-15T11:29:02.593371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
5.4%
14
 
5.0%
12
 
4.3%
12
 
4.3%
11
 
4.0%
9
 
3.2%
8
 
2.9%
6
 
2.2%
6
 
2.2%
6
 
2.2%
Other values (90) 179
64.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 252
90.6%
Other Symbol 15
 
5.4%
Other Punctuation 4
 
1.4%
Space Separator 4
 
1.4%
Close Punctuation 2
 
0.7%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
 
5.6%
12
 
4.8%
12
 
4.8%
11
 
4.4%
9
 
3.6%
8
 
3.2%
6
 
2.4%
6
 
2.4%
6
 
2.4%
6
 
2.4%
Other values (84) 162
64.3%
Close Punctuation
ValueCountFrequency (%)
) 1
50.0%
] 1
50.0%
Other Symbol
ValueCountFrequency (%)
15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 267
96.0%
Common 11
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
15
 
5.6%
14
 
5.2%
12
 
4.5%
12
 
4.5%
11
 
4.1%
9
 
3.4%
8
 
3.0%
6
 
2.2%
6
 
2.2%
6
 
2.2%
Other values (85) 168
62.9%
Common
ValueCountFrequency (%)
, 4
36.4%
4
36.4%
( 1
 
9.1%
) 1
 
9.1%
] 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 252
90.6%
None 15
 
5.4%
ASCII 11
 
4.0%

Most frequent character per block

None
ValueCountFrequency (%)
15
100.0%
Hangul
ValueCountFrequency (%)
14
 
5.6%
12
 
4.8%
12
 
4.8%
11
 
4.4%
9
 
3.6%
8
 
3.2%
6
 
2.4%
6
 
2.4%
6
 
2.4%
6
 
2.4%
Other values (84) 162
64.3%
ASCII
ValueCountFrequency (%)
, 4
36.4%
4
36.4%
( 1
 
9.1%
) 1
 
9.1%
] 1
 
9.1%
Distinct19
Distinct (%)59.4%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-03-15T11:29:03.306157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters672
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

Unique12 ?
Unique (%)37.5%

Sample

1st row2023-01-01~2024-12-31
2nd row2023-01-02~2023-12-31
3rd row2023-04-19~2023-12-27
4th row2023-02-01~2024-12-31
5th row2023-01-01~2023-12-31
ValueCountFrequency (%)
2023-02-01~2024-12-31 4
12.5%
2023-01-01~2023-12-31 4
12.5%
2023-01-01~2024-12-31 3
 
9.4%
2022-01-01~2023-12-31 3
 
9.4%
2020-05-02~2025-05-01 2
 
6.2%
2020-01-01~2023-12-31 2
 
6.2%
2021-01-01~2023-12-31 2
 
6.2%
2021-09-01~2024-08-31 1
 
3.1%
2023-05-31~2025-12-31 1
 
3.1%
2023-06-29~2023-02-29 1
 
3.1%
Other values (9) 9
28.1%
2024-03-15T11:29:04.186226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 177
26.3%
0 136
20.2%
- 128
19.0%
1 100
14.9%
3 63
 
9.4%
~ 32
 
4.8%
4 13
 
1.9%
5 10
 
1.5%
9 7
 
1.0%
8 2
 
0.3%
Other values (2) 4
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 512
76.2%
Dash Punctuation 128
 
19.0%
Math Symbol 32
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 177
34.6%
0 136
26.6%
1 100
19.5%
3 63
 
12.3%
4 13
 
2.5%
5 10
 
2.0%
9 7
 
1.4%
8 2
 
0.4%
7 2
 
0.4%
6 2
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 128
100.0%
Math Symbol
ValueCountFrequency (%)
~ 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 672
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 177
26.3%
0 136
20.2%
- 128
19.0%
1 100
14.9%
3 63
 
9.4%
~ 32
 
4.8%
4 13
 
1.9%
5 10
 
1.5%
9 7
 
1.0%
8 2
 
0.3%
Other values (2) 4
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 672
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 177
26.3%
0 136
20.2%
- 128
19.0%
1 100
14.9%
3 63
 
9.4%
~ 32
 
4.8%
4 13
 
1.9%
5 10
 
1.5%
9 7
 
1.0%
8 2
 
0.3%
Other values (2) 4
 
0.6%
Distinct20
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-03-15T11:29:04.880572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.96875
Min length3

Characters and Unicode

Total characters159
Distinct characters57
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)34.4%

Sample

1st row대변인
2nd row대변인
3rd row감사관
4th row스마트정보담당관
5th row스마트정보담당관
ValueCountFrequency (%)
전남도립대학교 3
 
9.4%
총무과 3
 
9.4%
세정과 3
 
9.4%
대변인 2
 
6.2%
스마트정보담당관 2
 
6.2%
감염병관리과 2
 
6.2%
인구청년정책관 2
 
6.2%
노인복지과 2
 
6.2%
농업기술원 2
 
6.2%
농업정책과 1
 
3.1%
Other values (10) 10
31.2%
2024-03-15T11:29:06.122547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
 
10.7%
10
 
6.3%
8
 
5.0%
7
 
4.4%
6
 
3.8%
5
 
3.1%
4
 
2.5%
4
 
2.5%
3
 
1.9%
3
 
1.9%
Other values (47) 92
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 159
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
17
 
10.7%
10
 
6.3%
8
 
5.0%
7
 
4.4%
6
 
3.8%
5
 
3.1%
4
 
2.5%
4
 
2.5%
3
 
1.9%
3
 
1.9%
Other values (47) 92
57.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 159
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
17
 
10.7%
10
 
6.3%
8
 
5.0%
7
 
4.4%
6
 
3.8%
5
 
3.1%
4
 
2.5%
4
 
2.5%
3
 
1.9%
3
 
1.9%
Other values (47) 92
57.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 159
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
17
 
10.7%
10
 
6.3%
8
 
5.0%
7
 
4.4%
6
 
3.8%
5
 
3.1%
4
 
2.5%
4
 
2.5%
3
 
1.9%
3
 
1.9%
Other values (47) 92
57.9%

계약형태
Categorical

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size384.0 B
자체
21 
조달
조달(통합발주)

Length

Max length8
Median length2
Mean length2.9375
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row조달
2nd row조달
3rd row자체
4th row조달(통합발주)
5th row자체

Common Values

ValueCountFrequency (%)
자체 21
65.6%
조달 6
 
18.8%
조달(통합발주) 5
 
15.6%

Length

2024-03-15T11:29:06.595396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:29:06.971864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자체 21
65.6%
조달 6
 
18.8%
조달(통합발주 5
 
15.6%

Correlations

2024-03-15T11:29:07.410246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위탁업무명수탁기관계약기간소관부서계약형태
위탁업무명1.0000.9090.7901.0001.000
수탁기관0.9091.0000.9860.8921.000
계약기간0.7900.9861.0000.8931.000
소관부서1.0000.8920.8931.0000.846
계약형태1.0001.0001.0000.8461.000

Missing values

2024-03-15T11:28:57.827539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T11:28:58.267664image/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

위탁업무명수탁기관계약기간소관부서계약형태
0전라남도 대표 홈페이지 등 통합유지보수 용역㈜트로닉스2023-01-01~2024-12-31대변인조달
1도 대표 소셜미디어 매체 운영 용역온비즈2023-01-02~2023-12-31대변인조달
2청렴 자가학습시스템 운영㈜이노크루2023-04-19~2023-12-27감사관자체
3온나라시스템㈜케이엘정보통신2023-02-01~2024-12-31스마트정보담당관조달(통합발주)
4시도행정유지관리 용역한국지역정보개발원2023-01-01~2023-12-31스마트정보담당관자체
5전라남도 일자리통합정보망㈜케이엘정보통신2023-02-01~2023-12-31일자리경제과조달(통합발주)
6남도여행길잡이㈜케이엘정보통신2023-02-01~2024-12-31관광과조달(통합발주)
7결핵검진사업대한결핵협회2020-05-02~2025-05-01감염병관리과자체
8한센병환자 관리대한결핵협회2020-05-02~2025-05-01감염병관리과자체
9지역사회서비스지원단(재)전남복지재단2020-01-01~2024-12-31사회복지과자체
위탁업무명수탁기관계약기간소관부서계약형태
22구조 및 응급처치 교육목포한국병원, 성가롤로병원, 대한안전연합2023-05-31~2025-12-31식품의약과자체
23농업기술원 대표 홈페이지㈜동부이엔씨2022-01-01~2023-12-31농업기술원자체
24해피굿팜 홈페이지㈜동부이엔씨2022-01-01~2023-12-31농업기술원자체
25전라남도 귀농산어촌 종합지원센터 운영전라남도중소기업일자리경제진흥원2022-01-01~2023-12-31인구청년정책관자체
26전남권역 난임, 우울증 상담센터 운영내일의료재단, 현대여성아동병원2023-01-01~2025-12-31인구청년정책관자체
27농어민공익수당시스템㈜가민정보시스템2023-01-01~2024-12-31농업정책과조달
28전라남도립대학교 정보시스템 유지보수신한시스템즈㈜2023-07-13~2024-02-29전남도립대학교조달
29전라남도립대학교 인터넷 원서접수㈜진학어플라이2023-06-29~2024-02-29전남도립대학교자체
30전라남도립대학교 인터넷 원서접수㈜유웨이어플라이2023-06-29~2023-02-29전남도립대학교자체
31전남사랑애 서포터즈 누리집 운영한결정보기술㈜]2022-11-24~2023-11-23고향사랑과조달