Overview

Dataset statistics

Number of variables4
Number of observations23
Missing cells4
Missing cells (%)4.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory868.0 B
Average record size in memory37.7 B

Variable types

Text4

Dataset

Description서울특별시 성동구 소독업소 현황 정보입니다. 소독업소 명칭, 도로명주소, 행정구역 구분, 영업소 전화번호 등의 정보를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15084649/fileData.do

Alerts

영업소전화번호 has 4 (17.4%) missing valuesMissing
소독업소명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:48:33.406978
Analysis finished2023-12-12 17:48:33.775032
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

소독업소명칭
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T02:48:33.916277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length7.6086957
Min length4

Characters and Unicode

Total characters175
Distinct characters76
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row오대양시스템
2nd row(주)엠앤에스엔터프라이즈
3rd row(주)에스앤씨서비스
4th row주식회사 우리피앤에스
5th row그린환경테크(주)
ValueCountFrequency (%)
주식회사 2
 
7.7%
오대양시스템 1
 
3.8%
낙원환경 1
 
3.8%
일신기업 1
 
3.8%
서운sts(주 1
 
3.8%
서운에스엠주식회사 1
 
3.8%
청정cs 1
 
3.8%
피에스클린(ps클린 1
 
3.8%
주)덕정환경 1
 
3.8%
부림위생(주 1
 
3.8%
Other values (15) 15
57.7%
2023-12-13T02:48:34.321885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 13
 
7.4%
스 12
 
6.9%
( 11
 
6.3%
) 11
 
6.3%
에 7
 
4.0%
경 5
 
2.9%
서 5
 
2.9%
린 5
 
2.9%
환 5
 
2.9%
앤 4
 
2.3%
Other values (66) 97
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 143
81.7%
Open Punctuation 11
 
6.3%
Close Punctuation 11
 
6.3%
Uppercase Letter 7
 
4.0%
Space Separator 3
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 13
 
9.1%
스 12
 
8.4%
에 7
 
4.9%
경 5
 
3.5%
서 5
 
3.5%
린 5
 
3.5%
환 5
 
3.5%
앤 4
 
2.8%
사 4
 
2.8%
식 3
 
2.1%
Other values (59) 80
55.9%
Uppercase Letter
ValueCountFrequency (%)
S 4
57.1%
C 1
 
14.3%
T 1
 
14.3%
P 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 143
81.7%
Common 25
 
14.3%
Latin 7
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 13
 
9.1%
스 12
 
8.4%
에 7
 
4.9%
경 5
 
3.5%
서 5
 
3.5%
린 5
 
3.5%
환 5
 
3.5%
앤 4
 
2.8%
사 4
 
2.8%
식 3
 
2.1%
Other values (59) 80
55.9%
Latin
ValueCountFrequency (%)
S 4
57.1%
C 1
 
14.3%
T 1
 
14.3%
P 1
 
14.3%
Common
ValueCountFrequency (%)
( 11
44.0%
) 11
44.0%
3
 
12.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 143
81.7%
ASCII 32
 
18.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 13
 
9.1%
스 12
 
8.4%
에 7
 
4.9%
경 5
 
3.5%
서 5
 
3.5%
린 5
 
3.5%
환 5
 
3.5%
앤 4
 
2.8%
사 4
 
2.8%
식 3
 
2.1%
Other values (59) 80
55.9%
ASCII
ValueCountFrequency (%)
( 11
34.4%
) 11
34.4%
S 4
 
12.5%
3
 
9.4%
C 1
 
3.1%
T 1
 
3.1%
P 1
 
3.1%

도로명주소
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T02:48:34.639649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length36
Mean length32.869565
Min length24

Characters and Unicode

Total characters756
Distinct characters86
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)91.3%

Sample

1st row서울특별시 성동구 장터5길 5, 202호 (금호동3가)
2nd row서울특별시 성동구 둘레7길 4 (성수동1가)
3rd row서울특별시 성동구 아차산로 33, 9층 2호 (성수동1가, 삼일빌딩)
4th row서울특별시 성동구 아차산로15길 19, 13층 (성수동2가, 우리W타워)
5th row서울특별시 성동구 아차산로 104, 303호 (성수동2가, 제일빌딩)
ValueCountFrequency (%)
서울특별시 23
 
16.0%
성동구 23
 
16.0%
성수동2가 7
 
4.9%
용답동 4
 
2.8%
하왕십리동 3
 
2.1%
2층 3
 
2.1%
성수동1가 3
 
2.1%
자동차시장1길 3
 
2.1%
18 2
 
1.4%
왕십리로31나길 2
 
1.4%
Other values (68) 71
49.3%
2023-12-13T02:48:35.152254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
121
 
16.0%
동 51
 
6.7%
1 39
 
5.2%
성 37
 
4.9%
시 27
 
3.6%
서 24
 
3.2%
울 23
 
3.0%
2 23
 
3.0%
) 23
 
3.0%
( 23
 
3.0%
Other values (76) 365
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 434
57.4%
Decimal Number 126
 
16.7%
Space Separator 121
 
16.0%
Close Punctuation 23
 
3.0%
Open Punctuation 23
 
3.0%
Other Punctuation 23
 
3.0%
Dash Punctuation 3
 
0.4%
Uppercase Letter 2
 
0.3%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 51
 
11.8%
성 37
 
8.5%
시 27
 
6.2%
서 24
 
5.5%
울 23
 
5.3%
특 23
 
5.3%
구 23
 
5.3%
별 23
 
5.3%
로 17
 
3.9%
길 16
 
3.7%
Other values (58) 170
39.2%
Decimal Number
ValueCountFrequency (%)
1 39
31.0%
2 23
18.3%
3 14
 
11.1%
0 10
 
7.9%
5 9
 
7.1%
4 8
 
6.3%
9 6
 
4.8%
8 6
 
4.8%
7 6
 
4.8%
6 5
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
W 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
121
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 434
57.4%
Common 319
42.2%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 51
 
11.8%
성 37
 
8.5%
시 27
 
6.2%
서 24
 
5.5%
울 23
 
5.3%
특 23
 
5.3%
구 23
 
5.3%
별 23
 
5.3%
로 17
 
3.9%
길 16
 
3.7%
Other values (58) 170
39.2%
Common
ValueCountFrequency (%)
121
37.9%
1 39
 
12.2%
2 23
 
7.2%
) 23
 
7.2%
( 23
 
7.2%
, 23
 
7.2%
3 14
 
4.4%
0 10
 
3.1%
5 9
 
2.8%
4 8
 
2.5%
Other values (5) 26
 
8.2%
Latin
ValueCountFrequency (%)
W 1
33.3%
b 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 434
57.4%
ASCII 322
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
121
37.6%
1 39
 
12.1%
2 23
 
7.1%
) 23
 
7.1%
( 23
 
7.1%
, 23
 
7.1%
3 14
 
4.3%
0 10
 
3.1%
5 9
 
2.8%
4 8
 
2.5%
Other values (8) 29
 
9.0%
Hangul
ValueCountFrequency (%)
동 51
 
11.8%
성 37
 
8.5%
시 27
 
6.2%
서 24
 
5.5%
울 23
 
5.3%
특 23
 
5.3%
구 23
 
5.3%
별 23
 
5.3%
로 17
 
3.9%
길 16
 
3.7%
Other values (58) 170
39.2%

행정구역
Text

Distinct13
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T02:48:35.366738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.6086957
Min length3

Characters and Unicode

Total characters129
Distinct characters23
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

Unique8 ?
Unique (%)34.8%

Sample

1st row금호2.3가동
2nd row성수1가제1동
3rd row성수1가제2동
4th row성수2가3동
5th row성수2가3동
ValueCountFrequency (%)
성수2가제3동 4
17.4%
용답동 4
17.4%
왕십리제2동 3
13.0%
왕십리도선동 2
8.7%
행당제1동 2
8.7%
성수2가3동 2
8.7%
금호2.3가동 1
 
4.3%
성수1가제1동 1
 
4.3%
성수1가제2동 1
 
4.3%
성수2가제1동 1
 
4.3%
Other values (2) 2
8.7%
2023-12-13T02:48:35.784675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 23
17.8%
2 12
9.3%
제 12
9.3%
가 11
8.5%
성 10
 
7.8%
수 10
 
7.8%
3 7
 
5.4%
1 7
 
5.4%
십 5
 
3.9%
리 5
 
3.9%
Other values (13) 27
20.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 101
78.3%
Decimal Number 26
 
20.2%
Other Punctuation 1
 
0.8%
Space Separator 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 23
22.8%
제 12
11.9%
가 11
10.9%
성 10
9.9%
수 10
9.9%
십 5
 
5.0%
리 5
 
5.0%
왕 5
 
5.0%
답 4
 
4.0%
용 4
 
4.0%
Other values (8) 12
11.9%
Decimal Number
ValueCountFrequency (%)
2 12
46.2%
3 7
26.9%
1 7
26.9%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 101
78.3%
Common 28
 
21.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 23
22.8%
제 12
11.9%
가 11
10.9%
성 10
9.9%
수 10
9.9%
십 5
 
5.0%
리 5
 
5.0%
왕 5
 
5.0%
답 4
 
4.0%
용 4
 
4.0%
Other values (8) 12
11.9%
Common
ValueCountFrequency (%)
2 12
42.9%
3 7
25.0%
1 7
25.0%
. 1
 
3.6%
1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 101
78.3%
ASCII 28
 
21.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 23
22.8%
제 12
11.9%
가 11
10.9%
성 10
9.9%
수 10
9.9%
십 5
 
5.0%
리 5
 
5.0%
왕 5
 
5.0%
답 4
 
4.0%
용 4
 
4.0%
Other values (8) 12
11.9%
ASCII
ValueCountFrequency (%)
2 12
42.9%
3 7
25.0%
1 7
25.0%
. 1
 
3.6%
1
 
3.6%

영업소전화번호
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing4
Missing (%)17.4%
Memory size316.0 B
2023-12-13T02:48:36.044540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.526316
Min length11

Characters and Unicode

Total characters219
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)100.0%

Sample

1st row02-2632-2177
2nd row02-498-7106
3rd row02-465-9933
4th row02-460-3094
5th row02-464-2218
ValueCountFrequency (%)
02-2632-2177 1
 
5.3%
02-2291-6656 1
 
5.3%
02-2245-3797 1
 
5.3%
070-8729-7881 1
 
5.3%
02-2246-9124 1
 
5.3%
02-2246-0663 1
 
5.3%
02-2297-3222 1
 
5.3%
02-842-6125 1
 
5.3%
02-474-5556 1
 
5.3%
02-461-9393 1
 
5.3%
Other values (9) 9
47.4%
2023-12-13T02:48:36.479544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 43
19.6%
- 38
17.4%
0 26
11.9%
4 21
9.6%
6 20
9.1%
9 16
 
7.3%
7 13
 
5.9%
3 12
 
5.5%
1 12
 
5.5%
5 10
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 181
82.6%
Dash Punctuation 38
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 43
23.8%
0 26
14.4%
4 21
11.6%
6 20
11.0%
9 16
 
8.8%
7 13
 
7.2%
3 12
 
6.6%
1 12
 
6.6%
5 10
 
5.5%
8 8
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 219
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 43
19.6%
- 38
17.4%
0 26
11.9%
4 21
9.6%
6 20
9.1%
9 16
 
7.3%
7 13
 
5.9%
3 12
 
5.5%
1 12
 
5.5%
5 10
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 219
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 43
19.6%
- 38
17.4%
0 26
11.9%
4 21
9.6%
6 20
9.1%
9 16
 
7.3%
7 13
 
5.9%
3 12
 
5.5%
1 12
 
5.5%
5 10
 
4.6%

Correlations

2023-12-13T02:48:36.613309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소독업소명칭도로명주소행정구역영업소전화번호
소독업소명칭1.0001.0001.0001.000
도로명주소1.0001.0001.0001.000
행정구역1.0001.0001.0001.000
영업소전화번호1.0001.0001.0001.000

Missing values

2023-12-13T02:48:33.615417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:48:33.726088image/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

소독업소명칭도로명주소행정구역영업소전화번호
0오대양시스템서울특별시 성동구 장터5길 5, 202호 (금호동3가)금호2.3가동02-2632-2177
1(주)엠앤에스엔터프라이즈서울특별시 성동구 둘레7길 4 (성수동1가)성수1가제1동02-498-7106
2(주)에스앤씨서비스서울특별시 성동구 아차산로 33, 9층 2호 (성수동1가, 삼일빌딩)성수1가제2동02-465-9933
3주식회사 우리피앤에스서울특별시 성동구 아차산로15길 19, 13층 (성수동2가, 우리W타워)성수2가3동02-460-3094
4그린환경테크(주)서울특별시 성동구 아차산로 104, 303호 (성수동2가, 제일빌딩)성수2가3동02-464-2218
5빌딩케어관리서울특별시 성동구 성수이로18길 31, 풍림테크원 1층 (성수동2가)성수2가제1동<NA>
6(주)캠크린프로서비스서울특별시 성동구 성수일로10길 8, 지1층 제6,7,9호 (성수동2가)성수2가제3동02-465-9983
7(주)석촌에스지서울특별시 성동구 동일로 91, 302호 (성수동2가)성수2가제3동02-563-0075
8(주)소낙스앤인서울특별시 성동구 성수이로 118, 315층 (성수동2가)성수2가제3동02-1644-7644
9유원 티씨에스서울특별시 성동구 광나루로4나길 16 (성수동2가)성수2가제3동02-467-3992
소독업소명칭도로명주소행정구역영업소전화번호
13서울방역서울특별시 성동구 무학로6길 41, 4층 (홍익동)왕십리도선동02-2291-6656
14대양환경공사서울특별시 성동구 왕십리로31나길 18 (하왕십리동)왕십리제2동02-474-5556
15부림위생(주)서울특별시 성동구 무학봉16길 1-5, 지하1층 (하왕십리동)왕십리제2동02-842-6125
16(주)덕정환경서울특별시 성동구 왕십리로31나길 18 (하왕십리동)왕십리제2동02-2297-3222
17피에스클린(PS클린)서울특별시 성동구 천호대로 432, b1층 101호 (용답동)용답동<NA>
18청정CS서울특별시 성동구 자동차시장1길 55, 502호 (용답동)용답동<NA>
19서운에스엠주식회사서울특별시 성동구 자동차시장1길 17, 6층 (용답동, 서운빌딩)용답동02-2246-0663
20서운STS(주)서울특별시 성동구 자동차시장1길 17 (용답동)용답동02-2246-9124
21일신기업서울특별시 성동구 행당로17길 7, 2층 (행당동)행당제1동070-8729-7881
22(주)신웅환경시스템서울특별시 성동구 마장로 310, 2층 (마장동)행당제1동02-2281-9114