Overview

Dataset statistics

Number of variables3
Number of observations46
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory26.9 B

Variable types

Text3

Dataset

Description인천광역시 본청 및 직속기관, 사업소의 도로명 주소 및 연락처를 알 수 있는 데이터로 구성되어 있는 데이터를 나타내고 있는 행정기관 현황 자료입니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15013638&srcSe=7661IVAWM27C61E190

Alerts

기관명 has unique valuesUnique

Reproduction

Analysis started2024-03-18 02:22:12.807835
Analysis finished2024-03-18 02:22:13.551582
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-03-18T11:22:13.692790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length6.7826087
Min length4

Characters and Unicode

Total characters312
Distinct characters101
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row인천광역시청
2nd row소방본부
3rd row인재개발원
4th row보건환경연구원
5th row농업기술센터
ValueCountFrequency (%)
인천광역시청 1
 
2.2%
시립박물관 1
 
2.2%
중앙협력본부(서울사무소 1
 
2.2%
월미공원사업소 1
 
2.2%
계양공원사업소 1
 
2.2%
미추홀도서관 1
 
2.2%
청라호수도서관 1
 
2.2%
청라국제도서관 1
 
2.2%
영종하늘도서관 1
 
2.2%
마전도서관 1
 
2.2%
Other values (36) 36
78.3%
2024-03-18T11:22:14.000544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 20
 
6.4%
서 19
 
6.1%
관 18
 
5.8%
도 14
 
4.5%
방 12
 
3.8%
사 11
 
3.5%
부 10
 
3.2%
원 7
 
2.2%
본 6
 
1.9%
시 6
 
1.9%
Other values (91) 189
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 308
98.7%
Open Punctuation 2
 
0.6%
Close Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 20
 
6.5%
서 19
 
6.2%
관 18
 
5.8%
도 14
 
4.5%
방 12
 
3.9%
사 11
 
3.6%
부 10
 
3.2%
원 7
 
2.3%
본 6
 
1.9%
시 6
 
1.9%
Other values (89) 185
60.1%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 308
98.7%
Common 4
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 20
 
6.5%
서 19
 
6.2%
관 18
 
5.8%
도 14
 
4.5%
방 12
 
3.9%
사 11
 
3.6%
부 10
 
3.2%
원 7
 
2.3%
본 6
 
1.9%
시 6
 
1.9%
Other values (89) 185
60.1%
Common
ValueCountFrequency (%)
( 2
50.0%
) 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 308
98.7%
ASCII 4
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 20
 
6.5%
서 19
 
6.2%
관 18
 
5.8%
도 14
 
4.5%
방 12
 
3.9%
사 11
 
3.6%
부 10
 
3.2%
원 7
 
2.3%
본 6
 
1.9%
시 6
 
1.9%
Other values (89) 185
60.1%
ASCII
ValueCountFrequency (%)
( 2
50.0%
) 2
50.0%

도로명주소
Text

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-03-18T11:22:14.256162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length32
Mean length24.282609
Min length15

Characters and Unicode

Total characters1117
Distinct characters153
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)95.7%

Sample

1st row인천광역시 남동구 정각로 29(구월동)
2nd row인천광역시 미추홀구 인하로 190(주안동)
3rd row인천광역시 서구 심곡로 98
4th row인천광역시 중구 서해대로 471(신흥동)
5th row인천광역시 계양구 살라리로2번길 33(서운동 207-1번지)
ValueCountFrequency (%)
인천광역시 43
 
21.4%
서구 9
 
4.5%
남동구 8
 
4.0%
중구 7
 
3.5%
미추홀구 7
 
3.5%
연수구 6
 
3.0%
계양구 3
 
1.5%
부평구 2
 
1.0%
월미로 2
 
1.0%
190(주안동 2
 
1.0%
Other values (109) 112
55.7%
2024-03-18T11:22:14.630746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
155
 
13.9%
인 52
 
4.7%
동 52
 
4.7%
구 48
 
4.3%
천 46
 
4.1%
로 46
 
4.1%
시 45
 
4.0%
광 44
 
3.9%
역 43
 
3.8%
( 40
 
3.6%
Other values (143) 546
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 712
63.7%
Decimal Number 165
 
14.8%
Space Separator 155
 
13.9%
Open Punctuation 40
 
3.6%
Close Punctuation 40
 
3.6%
Dash Punctuation 4
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 52
 
7.3%
동 52
 
7.3%
구 48
 
6.7%
천 46
 
6.5%
로 46
 
6.5%
시 45
 
6.3%
광 44
 
6.2%
역 43
 
6.0%
서 16
 
2.2%
대 15
 
2.1%
Other values (128) 305
42.8%
Decimal Number
ValueCountFrequency (%)
2 29
17.6%
1 24
14.5%
3 17
10.3%
6 16
9.7%
7 16
9.7%
4 15
9.1%
5 13
7.9%
0 13
7.9%
9 12
7.3%
8 10
 
6.1%
Space Separator
ValueCountFrequency (%)
155
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 712
63.7%
Common 405
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 52
 
7.3%
동 52
 
7.3%
구 48
 
6.7%
천 46
 
6.5%
로 46
 
6.5%
시 45
 
6.3%
광 44
 
6.2%
역 43
 
6.0%
서 16
 
2.2%
대 15
 
2.1%
Other values (128) 305
42.8%
Common
ValueCountFrequency (%)
155
38.3%
( 40
 
9.9%
) 40
 
9.9%
2 29
 
7.2%
1 24
 
5.9%
3 17
 
4.2%
6 16
 
4.0%
7 16
 
4.0%
4 15
 
3.7%
5 13
 
3.2%
Other values (5) 40
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 712
63.7%
ASCII 405
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
155
38.3%
( 40
 
9.9%
) 40
 
9.9%
2 29
 
7.2%
1 24
 
5.9%
3 17
 
4.2%
6 16
 
4.0%
7 16
 
4.0%
4 15
 
3.7%
5 13
 
3.2%
Other values (5) 40
 
9.9%
Hangul
ValueCountFrequency (%)
인 52
 
7.3%
동 52
 
7.3%
구 48
 
6.7%
천 46
 
6.5%
로 46
 
6.5%
시 45
 
6.3%
광 44
 
6.2%
역 43
 
6.0%
서 16
 
2.2%
대 15
 
2.1%
Other values (128) 305
42.8%

전화번호
Text

Distinct40
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-03-18T11:22:14.812376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.26087
Min length7

Characters and Unicode

Total characters518
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

Unique39 ?
Unique (%)84.8%

Sample

1st row032-120
2nd row032-870-3010
3rd row032-440-7600
4th row032-440-5423
5th row032-427-5959
ValueCountFrequency (%)
032-120 7
 
15.2%
032-870-3010 1
 
2.2%
032-440-6790 1
 
2.2%
032-563-9579 1
 
2.2%
032-562-6823 1
 
2.2%
032-746-9143 1
 
2.2%
032-590-2800 1
 
2.2%
032-851-6650 1
 
2.2%
032-440-6750 1
 
2.2%
032-440-6770 1
 
2.2%
Other values (30) 30
65.2%
2024-03-18T11:22:15.118046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 95
18.3%
- 85
16.4%
2 73
14.1%
3 72
13.9%
4 38
 
7.3%
7 30
 
5.8%
5 30
 
5.8%
1 27
 
5.2%
6 27
 
5.2%
8 24
 
4.6%
Other values (2) 17
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
83.4%
Dash Punctuation 85
 
16.4%
Math Symbol 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 95
22.0%
2 73
16.9%
3 72
16.7%
4 38
 
8.8%
7 30
 
6.9%
5 30
 
6.9%
1 27
 
6.2%
6 27
 
6.2%
8 24
 
5.6%
9 16
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 518
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 95
18.3%
- 85
16.4%
2 73
14.1%
3 72
13.9%
4 38
 
7.3%
7 30
 
5.8%
5 30
 
5.8%
1 27
 
5.2%
6 27
 
5.2%
8 24
 
4.6%
Other values (2) 17
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 518
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 95
18.3%
- 85
16.4%
2 73
14.1%
3 72
13.9%
4 38
 
7.3%
7 30
 
5.8%
5 30
 
5.8%
1 27
 
5.2%
6 27
 
5.2%
8 24
 
4.6%
Other values (2) 17
 
3.3%

Correlations

2024-03-18T11:22:15.238008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명도로명주소전화번호
기관명1.0001.0001.000
도로명주소1.0001.0000.981
전화번호1.0000.9811.000

Missing values

2024-03-18T11:22:13.461415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T11:22:13.527995image/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

기관명도로명주소전화번호
0인천광역시청인천광역시 남동구 정각로 29(구월동)032-120
1소방본부인천광역시 미추홀구 인하로 190(주안동)032-870-3010
2인재개발원인천광역시 서구 심곡로 98032-440-7600
3보건환경연구원인천광역시 중구 서해대로 471(신흥동)032-440-5423
4농업기술센터인천광역시 계양구 살라리로2번길 33(서운동 207-1번지)032-427-5959
5중부소방서인천광역시 중구 인중로 204(항동6가)032-870-5181
6남동소방서인천광역시 남동구 인주대로 714(구월동)032-870-5215
7부평소방서인천광역시 부평구 부평대로 324(갈산동)032-723-5310
8서부소방서인천광역시 서구 서곶로 292(심곡동)032-723-5438
9공단소방서인천광역시 남동구 남동서로 208(고잔동)032-723-5533
기관명도로명주소전화번호
36한국이민사박물관인천광역시 중구 월미로 329(북성동)032-440-4710
37인천도시역사관인천광역시 연수구 인천타워대로 238(송도동 24-7 )032-850-6000
38남촌농축산물도매시장관리사무소인천광역시 남동구 비류대로 763(남촌동)032-426-8303
39삼산농산물도매시장관리사무소인천광역시 부평구 영성동로 46(삼산동)032-440-6492
40수산자원연구소인천광역시 옹진군 영흥면 영흥남로247번길 313032-883-0417
41수산기술지원센터인천광역시 미추홀구 용정공원로 83번길 15(용현동)032-458-7455
42서부여성회관인천광역시 서구 서달로 12 (석남동)032-458-7340
43아동복지관인천광역시 중구 참외전로 246(도원동7-1) 인천축구전용경기장 내 북쪽 썬큰광장032-434-6436
44중앙협력본부(서울사무소)서울특별시 영등포구 국회대로62길 21, 9층(동성빌딩)02-782-9764
45중앙협력본부(세종사무소)세종특별자치시 갈매로 358 지방자치회관 4층044-868-8626~7