Overview

Dataset statistics

Number of variables6
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory55.0 B

Variable types

Numeric1
Text3
DateTime2

Dataset

Description인천광역시 서구의 개인정보처리업무 위탁현황에 관한 데이터로 연번, 부서명, 위탁업무명, 수탁업체명, 수탁시작일, 수탁종료일 항목을 제공합니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15105066&srcSe=7661IVAWM27C61E190

Alerts

연번 has unique valuesUnique
개인정보 위탁업무명 has unique valuesUnique

Reproduction

Analysis started2024-01-28 09:07:27.918534
Analysis finished2024-01-28 09:07:28.373713
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-28T18:07:28.421873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2024-01-28T18:07:28.509042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

부서명
Text

Distinct12
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-01-28T18:07:28.661850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.5454545
Min length4

Characters and Unicode

Total characters122
Distinct characters44
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

Unique8 ?
Unique (%)36.4%

Sample

1st row정보통신담당관
2nd row정보통신담당관
3rd row정보통신담당관
4th row정보통신담당관
5th row세무2과
ValueCountFrequency (%)
주차관리과 5
22.7%
정보통신담당관 4
18.2%
안전총괄과 3
13.6%
교통정책과 2
 
9.1%
세무2과 1
 
4.5%
장애인복지과 1
 
4.5%
교육혁신과 1
 
4.5%
환경관리과 1
 
4.5%
기업지원일자리과 1
 
4.5%
토지정보과 1
 
4.5%
Other values (2) 2
 
9.1%
2024-01-28T18:07:28.927318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 17
 
13.9%
관 10
 
8.2%
리 7
 
5.7%
정 7
 
5.7%
통 6
 
4.9%
주 5
 
4.1%
보 5
 
4.1%
신 5
 
4.1%
차 5
 
4.1%
담 4
 
3.3%
Other values (34) 51
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 121
99.2%
Decimal Number 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 17
 
14.0%
관 10
 
8.3%
리 7
 
5.8%
정 7
 
5.8%
통 6
 
5.0%
주 5
 
4.1%
보 5
 
4.1%
신 5
 
4.1%
차 5
 
4.1%
담 4
 
3.3%
Other values (33) 50
41.3%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 121
99.2%
Common 1
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 17
 
14.0%
관 10
 
8.3%
리 7
 
5.8%
정 7
 
5.8%
통 6
 
5.0%
주 5
 
4.1%
보 5
 
4.1%
신 5
 
4.1%
차 5
 
4.1%
담 4
 
3.3%
Other values (33) 50
41.3%
Common
ValueCountFrequency (%)
2 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 121
99.2%
ASCII 1
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 17
 
14.0%
관 10
 
8.3%
리 7
 
5.8%
정 7
 
5.8%
통 6
 
5.0%
주 5
 
4.1%
보 5
 
4.1%
신 5
 
4.1%
차 5
 
4.1%
담 4
 
3.3%
Other values (33) 50
41.3%
ASCII
ValueCountFrequency (%)
2 1
100.0%

개인정보 위탁업무명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-01-28T18:07:29.122667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length19.818182
Min length9

Characters and Unicode

Total characters436
Distinct characters119
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

Unique22 ?
Unique (%)100.0%

Sample

1st row소통1번가유지관리
2nd row정보통신시설 통합유지보수 용역
3rd row행정정보시스템 통합유지보수
4th row자치단체 공통기반 및 재해복구시스템 유지관리
5th row2022년 지방세·세외수입 고지서 유인 및 출력
ValueCountFrequency (%)
유지보수 6
 
7.7%
및 5
 
6.4%
출력 3
 
3.8%
유지관리 3
 
3.8%
2022년 3
 
3.8%
고지서 3
 
3.8%
유인 3
 
3.8%
단속시스템유지보수 2
 
2.6%
업무지원시스템 2
 
2.6%
민방위 2
 
2.6%
Other values (40) 46
59.0%
2024-01-28T18:07:29.422400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
56
 
12.8%
지 26
 
6.0%
유 18
 
4.1%
스 16
 
3.7%
보 14
 
3.2%
시 12
 
2.8%
템 11
 
2.5%
수 11
 
2.5%
정 9
 
2.1%
2 9
 
2.1%
Other values (109) 254
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 358
82.1%
Space Separator 56
 
12.8%
Decimal Number 13
 
3.0%
Uppercase Letter 4
 
0.9%
Open Punctuation 2
 
0.5%
Close Punctuation 2
 
0.5%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 26
 
7.3%
유 18
 
5.0%
스 16
 
4.5%
보 14
 
3.9%
시 12
 
3.4%
템 11
 
3.1%
수 11
 
3.1%
정 9
 
2.5%
관 8
 
2.2%
리 7
 
2.0%
Other values (99) 226
63.1%
Decimal Number
ValueCountFrequency (%)
2 9
69.2%
0 3
 
23.1%
1 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
C 2
50.0%
T 1
25.0%
V 1
25.0%
Space Separator
ValueCountFrequency (%)
56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 358
82.1%
Common 74
 
17.0%
Latin 4
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 26
 
7.3%
유 18
 
5.0%
스 16
 
4.5%
보 14
 
3.9%
시 12
 
3.4%
템 11
 
3.1%
수 11
 
3.1%
정 9
 
2.5%
관 8
 
2.2%
리 7
 
2.0%
Other values (99) 226
63.1%
Common
ValueCountFrequency (%)
56
75.7%
2 9
 
12.2%
0 3
 
4.1%
( 2
 
2.7%
) 2
 
2.7%
1 1
 
1.4%
· 1
 
1.4%
Latin
ValueCountFrequency (%)
C 2
50.0%
T 1
25.0%
V 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 358
82.1%
ASCII 77
 
17.7%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
56
72.7%
2 9
 
11.7%
0 3
 
3.9%
( 2
 
2.6%
) 2
 
2.6%
C 2
 
2.6%
1 1
 
1.3%
T 1
 
1.3%
V 1
 
1.3%
Hangul
ValueCountFrequency (%)
지 26
 
7.3%
유 18
 
5.0%
스 16
 
4.5%
보 14
 
3.9%
시 12
 
3.4%
템 11
 
3.1%
수 11
 
3.1%
정 9
 
2.5%
관 8
 
2.2%
리 7
 
2.0%
Other values (99) 226
63.1%
None
ValueCountFrequency (%)
· 1
100.0%

수탁업체명
Text

Distinct16
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-01-28T18:07:29.580964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length9.5
Mean length6.4545455
Min length3

Characters and Unicode

Total characters142
Distinct characters58
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)50.0%

Sample

1st row㈜선도소프트
2nd row㈜나라이엔씨
3rd row㈜월드넷코리아+㈜에이블아이엔씨
4th row한국지역정보개발원
5th row아진전산
ValueCountFrequency (%)
아진전산 3
13.6%
㈜나라이엔씨 2
 
9.1%
㈜한국공교육원 2
 
9.1%
㈜케이앤엘정보시스템 2
 
9.1%
㈜가산 2
 
9.1%
㈜선도소프트 1
 
4.5%
㈜월드넷코리아+㈜에이블아이엔씨 1
 
4.5%
한국지역정보개발원 1
 
4.5%
㈜엑스아이티 1
 
4.5%
㈜새하이엔에스 1
 
4.5%
Other values (6) 6
27.3%
2024-01-28T18:07:29.842774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 18
 
12.7%
이 11
 
7.7%
아 7
 
4.9%
스 7
 
4.9%
산 5
 
3.5%
시 4
 
2.8%
엔 4
 
2.8%
원 3
 
2.1%
보 3
 
2.1%
정 3
 
2.1%
Other values (48) 77
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 123
86.6%
Other Symbol 18
 
12.7%
Math Symbol 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 11
 
8.9%
아 7
 
5.7%
스 7
 
5.7%
산 5
 
4.1%
시 4
 
3.3%
엔 4
 
3.3%
원 3
 
2.4%
보 3
 
2.4%
정 3
 
2.4%
진 3
 
2.4%
Other values (46) 73
59.3%
Other Symbol
ValueCountFrequency (%)
㈜ 18
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 141
99.3%
Common 1
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 18
 
12.8%
이 11
 
7.8%
아 7
 
5.0%
스 7
 
5.0%
산 5
 
3.5%
시 4
 
2.8%
엔 4
 
2.8%
원 3
 
2.1%
보 3
 
2.1%
정 3
 
2.1%
Other values (47) 76
53.9%
Common
ValueCountFrequency (%)
+ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 123
86.6%
None 18
 
12.7%
ASCII 1
 
0.7%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 18
100.0%
Hangul
ValueCountFrequency (%)
이 11
 
8.9%
아 7
 
5.7%
스 7
 
5.7%
산 5
 
4.1%
시 4
 
3.3%
엔 4
 
3.3%
원 3
 
2.4%
보 3
 
2.4%
정 3
 
2.4%
진 3
 
2.4%
Other values (46) 73
59.3%
ASCII
ValueCountFrequency (%)
+ 1
100.0%

수탁시작일
Date

Distinct4
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2023-01-01 00:00:00
Maximum2023-03-24 00:00:00
2024-01-28T18:07:29.939241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:07:30.017478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

수탁종료일
Date

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2023-02-28 00:00:00
Maximum2023-12-31 00:00:00
2024-01-28T18:07:30.097320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:07:30.173942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

Interactions

2024-01-28T18:07:28.164855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T18:07:30.238319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번부서명개인정보 위탁업무명수탁업체명수탁시작일수탁종료일
연번1.0000.7981.0000.7750.5640.439
부서명0.7981.0001.0000.9000.5711.000
개인정보 위탁업무명1.0001.0001.0001.0001.0001.000
수탁업체명0.7750.9001.0001.0000.0001.000
수탁시작일0.5640.5711.0000.0001.0001.000
수탁종료일0.4391.0001.0001.0001.0001.000

Missing values

2024-01-28T18:07:28.257882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T18:07:28.338908image/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

연번부서명개인정보 위탁업무명수탁업체명수탁시작일수탁종료일
01정보통신담당관소통1번가유지관리㈜선도소프트2023-01-012023-12-31
12정보통신담당관정보통신시설 통합유지보수 용역㈜나라이엔씨2023-01-012023-12-31
23정보통신담당관행정정보시스템 통합유지보수㈜월드넷코리아+㈜에이블아이엔씨2023-01-012023-12-31
34정보통신담당관자치단체 공통기반 및 재해복구시스템 유지관리한국지역정보개발원2023-01-012023-12-31
45세무2과2022년 지방세·세외수입 고지서 유인 및 출력아진전산2023-01-012023-12-31
56장애인복지과장애인전용주차구역위반관리시스템 유지관리㈜엑스아이티2023-01-012023-12-31
67교육혁신과인천서구영어나라 아이쉘 홈페이지 운영㈜새하이엔에스2023-02-282023-02-28
78환경관리과환경개선부담금 고지서 유인 및 출력아진전산2023-01-012023-12-31
89안전총괄과재난안전상황실및CCTV 통합관제센터유지관리용역㈜유리네트웍스2023-01-012023-12-31
910안전총괄과2022년 민방위 교육 전자통지 시스템 운영㈜한국공교육원2023-02-022023-12-31
연번부서명개인정보 위탁업무명수탁업체명수탁시작일수탁종료일
1213교통정책과무보험운행 특사경 업무지원시스템 유지보수㈜케이앤엘정보시스템2023-01-012023-12-31
1314교통정책과무단방치 특사경 업무지원시스템 유지보수㈜케이앤엘정보시스템2023-01-012023-12-31
1415주차관리과스마트밤샘 주차관리시스템 유지보수㈜가산2023-01-012023-12-31
1516주차관리과단속알림서비스 유지보수㈜아이엠시티2023-01-012023-12-31
1617주차관리과고정형 불법주정차 단속시스템 유지보수㈜나라이엔씨2023-01-012023-12-31
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1819주차관리과스마트불법주정차 단속시스템유지보수 (주행형)㈜넥스파시스템2023-01-012023-12-31
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