Overview

Dataset statistics

Number of variables3
Number of observations73
Missing cells1
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory25.8 B

Variable types

Text3

Dataset

Description관내 공공기관(구청,보건소,동 행정복지센터,경찰서,소방서,우체국 등) 위치, 연락처 등 기본 정보를 제공합니다.
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15039792&srcSe=7661IVAWM27C61E190

Alerts

전화번호 has 1 (1.4%) missing valuesMissing
기관명 has unique valuesUnique

Reproduction

Analysis started2024-03-18 04:10:10.311441
Analysis finished2024-03-18 04:10:11.080934
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size716.0 B
2024-03-18T13:10:11.232988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length14
Mean length9.1643836
Min length4

Characters and Unicode

Total characters669
Distinct characters131
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

Unique73 ?
Unique (%)100.0%

Sample

1st row연수구청
2nd row연수구의회
3rd row연수구보건소
4th row송도건강생활지원센터
5th row옥련1동 행정복지센터
ValueCountFrequency (%)
행정복지센터 15
 
15.2%
인천환경공단 3
 
3.0%
인천광역시 2
 
2.0%
연수구청 1
 
1.0%
옥련119안전센터 1
 
1.0%
인천송도g-타워우체국 1
 
1.0%
인천연수동우체국 1
 
1.0%
인천송도동우체국 1
 
1.0%
인천우체국 1
 
1.0%
국제119안전센터 1
 
1.0%
Other values (72) 72
72.7%
2024-03-18T13:10:11.560147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35
 
5.2%
지 30
 
4.5%
인 27
 
4.0%
천 27
 
4.0%
동 25
 
3.7%
도 23
 
3.4%
터 23
 
3.4%
센 23
 
3.4%
수 18
 
2.7%
연 18
 
2.7%
Other values (121) 420
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 599
89.5%
Space Separator 35
 
5.2%
Decimal Number 29
 
4.3%
Uppercase Letter 3
 
0.4%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 30
 
5.0%
인 27
 
4.5%
천 27
 
4.5%
동 25
 
4.2%
도 23
 
3.8%
터 23
 
3.8%
센 23
 
3.8%
수 18
 
3.0%
연 18
 
3.0%
복 15
 
2.5%
Other values (108) 370
61.8%
Decimal Number
ValueCountFrequency (%)
1 14
48.3%
2 5
 
17.2%
9 5
 
17.2%
3 3
 
10.3%
5 1
 
3.4%
4 1
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
T 1
33.3%
G 1
33.3%
Space Separator
ValueCountFrequency (%)
35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 599
89.5%
Common 67
 
10.0%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 30
 
5.0%
인 27
 
4.5%
천 27
 
4.5%
동 25
 
4.2%
도 23
 
3.8%
터 23
 
3.8%
센 23
 
3.8%
수 18
 
3.0%
연 18
 
3.0%
복 15
 
2.5%
Other values (108) 370
61.8%
Common
ValueCountFrequency (%)
35
52.2%
1 14
 
20.9%
2 5
 
7.5%
9 5
 
7.5%
3 3
 
4.5%
( 1
 
1.5%
) 1
 
1.5%
5 1
 
1.5%
4 1
 
1.5%
- 1
 
1.5%
Latin
ValueCountFrequency (%)
K 1
33.3%
T 1
33.3%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 599
89.5%
ASCII 70
 
10.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35
50.0%
1 14
 
20.0%
2 5
 
7.1%
9 5
 
7.1%
3 3
 
4.3%
( 1
 
1.4%
K 1
 
1.4%
T 1
 
1.4%
) 1
 
1.4%
5 1
 
1.4%
Other values (3) 3
 
4.3%
Hangul
ValueCountFrequency (%)
지 30
 
5.0%
인 27
 
4.5%
천 27
 
4.5%
동 25
 
4.2%
도 23
 
3.8%
터 23
 
3.8%
센 23
 
3.8%
수 18
 
3.0%
연 18
 
3.0%
복 15
 
2.5%
Other values (108) 370
61.8%

주소
Text

Distinct66
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Memory size716.0 B
2024-03-18T13:10:11.806580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length19.082192
Min length16

Characters and Unicode

Total characters1393
Distinct characters91
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)80.8%

Sample

1st row인천광역시 연수구 원인재로 115
2nd row인천광역시 연수구 원인재로 115
3rd row인천광역시 연수구 함박뫼로 13
4th row인천광역시 연수구 인천타워대로54번길 19
5th row인천광역시 연수구 비류대로186번길 14
ValueCountFrequency (%)
인천광역시 73
24.7%
연수구 71
24.0%
원인재로 9
 
3.0%
함박뫼로 5
 
1.7%
비류대로 5
 
1.7%
115 4
 
1.4%
해돋이로 4
 
1.4%
먼우금로 3
 
1.0%
30 3
 
1.0%
센트럴로 2
 
0.7%
Other values (96) 117
39.5%
2024-03-18T13:10:12.192990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
232
16.7%
인 90
 
6.5%
천 80
 
5.7%
시 76
 
5.5%
구 74
 
5.3%
광 73
 
5.2%
역 73
 
5.2%
연 73
 
5.2%
수 73
 
5.2%
로 72
 
5.2%
Other values (81) 477
34.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 936
67.2%
Space Separator 232
 
16.7%
Decimal Number 224
 
16.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 90
 
9.6%
천 80
 
8.5%
시 76
 
8.1%
구 74
 
7.9%
광 73
 
7.8%
역 73
 
7.8%
연 73
 
7.8%
수 73
 
7.8%
로 72
 
7.7%
대 25
 
2.7%
Other values (69) 227
24.3%
Decimal Number
ValueCountFrequency (%)
1 44
19.6%
2 30
13.4%
5 30
13.4%
3 22
9.8%
4 21
9.4%
9 19
8.5%
6 17
 
7.6%
0 16
 
7.1%
8 15
 
6.7%
7 10
 
4.5%
Space Separator
ValueCountFrequency (%)
232
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 936
67.2%
Common 457
32.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 90
 
9.6%
천 80
 
8.5%
시 76
 
8.1%
구 74
 
7.9%
광 73
 
7.8%
역 73
 
7.8%
연 73
 
7.8%
수 73
 
7.8%
로 72
 
7.7%
대 25
 
2.7%
Other values (69) 227
24.3%
Common
ValueCountFrequency (%)
232
50.8%
1 44
 
9.6%
2 30
 
6.6%
5 30
 
6.6%
3 22
 
4.8%
4 21
 
4.6%
9 19
 
4.2%
6 17
 
3.7%
0 16
 
3.5%
8 15
 
3.3%
Other values (2) 11
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 936
67.2%
ASCII 457
32.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
232
50.8%
1 44
 
9.6%
2 30
 
6.6%
5 30
 
6.6%
3 22
 
4.8%
4 21
 
4.6%
9 19
 
4.2%
6 17
 
3.7%
0 16
 
3.5%
8 15
 
3.3%
Other values (2) 11
 
2.4%
Hangul
ValueCountFrequency (%)
인 90
 
9.6%
천 80
 
8.5%
시 76
 
8.1%
구 74
 
7.9%
광 73
 
7.8%
역 73
 
7.8%
연 73
 
7.8%
수 73
 
7.8%
로 72
 
7.7%
대 25
 
2.7%
Other values (69) 227
24.3%

전화번호
Text

MISSING 

Distinct71
Distinct (%)98.6%
Missing1
Missing (%)1.4%
Memory size716.0 B
2024-03-18T13:10:12.420134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.013889
Min length9

Characters and Unicode

Total characters865
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

Unique70 ?
Unique (%)97.2%

Sample

1st row032-749-7114
2nd row032-749-8373
3rd row032-749-8000
4th row032-749-6914
5th row032-749-6000
ValueCountFrequency (%)
032-821-6229 2
 
2.8%
032-810-6600 1
 
1.4%
032-810-6119 1
 
1.4%
032-810-6660 1
 
1.4%
032-834-8119 1
 
1.4%
032-832-0119 1
 
1.4%
032-813-2119 1
 
1.4%
032-850-8100 1
 
1.4%
032-650-2000 1
 
1.4%
032-453-0830 1
 
1.4%
Other values (61) 61
84.7%
2024-03-18T13:10:12.765761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 189
21.8%
- 143
16.5%
2 106
12.3%
3 98
11.3%
9 56
 
6.5%
4 55
 
6.4%
8 53
 
6.1%
7 44
 
5.1%
1 42
 
4.9%
6 40
 
4.6%
Other values (2) 39
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 718
83.0%
Dash Punctuation 143
 
16.5%
Space Separator 4
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 189
26.3%
2 106
14.8%
3 98
13.6%
9 56
 
7.8%
4 55
 
7.7%
8 53
 
7.4%
7 44
 
6.1%
1 42
 
5.8%
6 40
 
5.6%
5 35
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 143
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 865
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 189
21.8%
- 143
16.5%
2 106
12.3%
3 98
11.3%
9 56
 
6.5%
4 55
 
6.4%
8 53
 
6.1%
7 44
 
5.1%
1 42
 
4.9%
6 40
 
4.6%
Other values (2) 39
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 865
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 189
21.8%
- 143
16.5%
2 106
12.3%
3 98
11.3%
9 56
 
6.5%
4 55
 
6.4%
8 53
 
6.1%
7 44
 
5.1%
1 42
 
4.9%
6 40
 
4.6%
Other values (2) 39
 
4.5%

Correlations

2024-03-18T13:10:12.847344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명주소전화번호
기관명1.0001.0001.000
주소1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2024-03-18T13:10:10.985890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:10:11.049694image/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

기관명주소전화번호
0연수구청인천광역시 연수구 원인재로 115032-749-7114
1연수구의회인천광역시 연수구 원인재로 115032-749-8373
2연수구보건소인천광역시 연수구 함박뫼로 13032-749-8000
3송도건강생활지원센터인천광역시 연수구 인천타워대로54번길 19032-749-6914
4옥련1동 행정복지센터인천광역시 연수구 비류대로186번길 14032-749-6000
5옥련2동 행정복지센터인천광역시 연수구 옥련로 82032-749-6050
6선학동 행정복지센터인천광역시 연수구 선학로 54032-749-6100
7연수1동 행정복지센터인천광역시 연수구 함박뫼로 127032-749-6150
8연수2동 행정복지센터인천광역시 연수구 원인재로 158032-749-6200
9연수3동 행정복지센터인천광역시 연수구 원인재로 283032-749-6250
기관명주소전화번호
63인천환경공단 신항사업소인천광역시 연수구 인천신항대로892번길 50032-899-4900
64KT연수지사인천광역시 연수구 청능대로 145032-813-0200
65대한적십자인천지사(혈액원)인천광역시 연수구 함박뫼로 220032-815-0631
66인천적십자병원인천광역시 연수구 원인재로 263032-899-4000
67인천관광공사인천광역시 연수구 갯벌로 12032-899-7300
68중소벤처기업진흥공단 인천지역본부인천광역시 연수구 갯벌로 12<NA>
69한국가스공사 인천생산기지인천광역시 연수구 인천신항대로 950032-810-4502
70한국전력공사 남인천지사인천광역시 연수구 비류대로 304032-830-5267
71연수세무서인천광역시 연수구 인천타워대로 323032-670-9200
72건강보험심사평가원 인천지원인천광역시 연수구 컨벤시아대로 1651644-2000