Overview

Dataset statistics

Number of variables6
Number of observations171
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.1 KiB
Average record size in memory48.8 B

Variable types

Text3
Categorical2
DateTime1

Dataset

Description서울특별시 금천구 관내 다중이용시설 실내공기질 관리 현황으로 상호, 시설구분, 주소, 관리대상기준, 전화번호 등의 항목을 제공하고 있습니다.
Author서울특별시 금천구
URLhttps://www.data.go.kr/data/3081077/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
관리대상기준 is highly overall correlated with 시설구분High correlation
시설구분 is highly overall correlated with 관리대상기준High correlation

Reproduction

Analysis started2023-12-12 17:22:26.983165
Analysis finished2023-12-12 17:22:27.517111
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

Distinct166
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T02:22:27.687291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length18
Mean length8.9590643
Min length4

Characters and Unicode

Total characters1532
Distinct characters281
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique161 ?
Unique (%)94.2%

Sample

1st row가산디지털단지역
2nd row구립금주어린이집
3rd row구립꿈나래어린이집
4th row구립독산본동어린이집
5th row구립별마루어린이집
ValueCountFrequency (%)
금천점 4
 
1.8%
가산 4
 
1.8%
씨티렉스 2
 
0.9%
롯데시네마 2
 
0.9%
마르쉐도르 2
 
0.9%
에이스 2
 
0.9%
롯데캐슬 2
 
0.9%
홈플러스 2
 
0.9%
마리오아울렛1관 2
 
0.9%
lg전자 2
 
0.9%
Other values (194) 198
89.2%
2023-12-13T02:22:28.130628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 58
 
3.8%
52
 
3.4%
타 49
 
3.2%
스 48
 
3.1%
워 33
 
2.2%
차 31
 
2.0%
리 29
 
1.9%
어 26
 
1.7%
산 25
 
1.6%
집 23
 
1.5%
Other values (271) 1158
75.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1274
83.2%
Uppercase Letter 93
 
6.1%
Decimal Number 61
 
4.0%
Space Separator 52
 
3.4%
Open Punctuation 14
 
0.9%
Close Punctuation 14
 
0.9%
Lowercase Letter 13
 
0.8%
Other Symbol 4
 
0.3%
Dash Punctuation 4
 
0.3%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 58
 
4.6%
타 49
 
3.8%
스 48
 
3.8%
워 33
 
2.6%
차 31
 
2.4%
리 29
 
2.3%
어 26
 
2.0%
산 25
 
2.0%
집 23
 
1.8%
린 23
 
1.8%
Other values (225) 929
72.9%
Uppercase Letter
ValueCountFrequency (%)
I 11
11.8%
T 11
11.8%
L 8
 
8.6%
C 8
 
8.6%
G 7
 
7.5%
S 5
 
5.4%
P 5
 
5.4%
R 4
 
4.3%
V 4
 
4.3%
M 3
 
3.2%
Other values (12) 27
29.0%
Decimal Number
ValueCountFrequency (%)
1 17
27.9%
2 14
23.0%
3 5
 
8.2%
5 5
 
8.2%
6 4
 
6.6%
7 4
 
6.6%
8 4
 
6.6%
0 3
 
4.9%
9 3
 
4.9%
4 2
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
l 4
30.8%
c 3
23.1%
a 2
15.4%
w 1
 
7.7%
i 1
 
7.7%
m 1
 
7.7%
p 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
' 1
33.3%
Space Separator
ValueCountFrequency (%)
52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1278
83.4%
Common 148
 
9.7%
Latin 106
 
6.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 58
 
4.5%
타 49
 
3.8%
스 48
 
3.8%
워 33
 
2.6%
차 31
 
2.4%
리 29
 
2.3%
어 26
 
2.0%
산 25
 
2.0%
집 23
 
1.8%
린 23
 
1.8%
Other values (226) 933
73.0%
Latin
ValueCountFrequency (%)
I 11
 
10.4%
T 11
 
10.4%
L 8
 
7.5%
C 8
 
7.5%
G 7
 
6.6%
S 5
 
4.7%
P 5
 
4.7%
R 4
 
3.8%
V 4
 
3.8%
l 4
 
3.8%
Other values (19) 39
36.8%
Common
ValueCountFrequency (%)
52
35.1%
1 17
 
11.5%
2 14
 
9.5%
( 14
 
9.5%
) 14
 
9.5%
3 5
 
3.4%
5 5
 
3.4%
6 4
 
2.7%
7 4
 
2.7%
8 4
 
2.7%
Other values (6) 15
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1274
83.2%
ASCII 254
 
16.6%
None 4
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 58
 
4.6%
타 49
 
3.8%
스 48
 
3.8%
워 33
 
2.6%
차 31
 
2.4%
리 29
 
2.3%
어 26
 
2.0%
산 25
 
2.0%
집 23
 
1.8%
린 23
 
1.8%
Other values (225) 929
72.9%
ASCII
ValueCountFrequency (%)
52
20.5%
1 17
 
6.7%
2 14
 
5.5%
( 14
 
5.5%
) 14
 
5.5%
I 11
 
4.3%
T 11
 
4.3%
L 8
 
3.1%
C 8
 
3.1%
G 7
 
2.8%
Other values (35) 98
38.6%
None
ValueCountFrequency (%)
㈜ 4
100.0%

시설구분
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
실내주차장
102 
어린이집
23 
대규모점포
13 
의료기관
 
10
목욕장
 
6
Other values (6)
17 

Length

Max length10
Median length5
Mean length4.9883041
Min length3

Unique

Unique2 ?
Unique (%)1.2%

Sample

1st row지하역사
2nd row어린이집
3rd row어린이집
4th row어린이집
5th row어린이집

Common Values

ValueCountFrequency (%)
실내주차장 102
59.6%
어린이집 23
 
13.5%
대규모점포 13
 
7.6%
의료기관 10
 
5.8%
목욕장 6
 
3.5%
실내어린이놀이시설 5
 
2.9%
인터넷컴퓨터게임시설 4
 
2.3%
노인요양시설 4
 
2.3%
실내영화관 2
 
1.2%
지하역사 1
 
0.6%

Length

2023-12-13T02:22:28.325577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
실내주차장 102
59.6%
어린이집 23
 
13.5%
대규모점포 13
 
7.6%
의료기관 10
 
5.8%
목욕장 6
 
3.5%
실내어린이놀이시설 5
 
2.9%
인터넷컴퓨터게임시설 4
 
2.3%
노인요양시설 4
 
2.3%
실내영화관 2
 
1.2%
지하역사 1
 
0.6%

주소
Text

Distinct161
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T02:22:28.595578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length36
Mean length24.321637
Min length15

Characters and Unicode

Total characters4159
Distinct characters103
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

Unique153 ?
Unique (%)89.5%

Sample

1st row서울특별시 금천구 벚꽃로 309(가산동)
2nd row서울특별시 금천구 시흥대로70길 34(시흥동)
3rd row서울특별시 금천구 금하로 3길 32(시흥동)
4th row서울특별시 금천구 시흥대로150길 79(독산동)
5th row서울특별시 금천구 독산로94길 17(독산동)
ValueCountFrequency (%)
서울특별시 171
23.3%
금천구 170
23.1%
가산디지털1로 35
 
4.8%
시흥대로 21
 
2.9%
가산디지털2로 16
 
2.2%
벚꽃로 15
 
2.0%
디지털로9길 10
 
1.4%
디지털로 8
 
1.1%
금하로 7
 
1.0%
범안로 6
 
0.8%
Other values (230) 276
37.6%
2023-12-13T02:22:28.985507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
565
 
13.6%
시 226
 
5.4%
금 180
 
4.3%
산 180
 
4.3%
서 176
 
4.2%
울 172
 
4.1%
특 171
 
4.1%
별 171
 
4.1%
천 171
 
4.1%
구 171
 
4.1%
Other values (93) 1976
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2667
64.1%
Decimal Number 622
 
15.0%
Space Separator 565
 
13.6%
Close Punctuation 132
 
3.2%
Open Punctuation 132
 
3.2%
Other Punctuation 31
 
0.7%
Uppercase Letter 5
 
0.1%
Dash Punctuation 3
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 226
 
8.5%
금 180
 
6.7%
산 180
 
6.7%
서 176
 
6.6%
울 172
 
6.4%
특 171
 
6.4%
별 171
 
6.4%
천 171
 
6.4%
구 171
 
6.4%
로 166
 
6.2%
Other values (73) 883
33.1%
Decimal Number
ValueCountFrequency (%)
1 150
24.1%
2 93
15.0%
3 67
10.8%
9 61
9.8%
4 45
 
7.2%
6 44
 
7.1%
0 42
 
6.8%
8 41
 
6.6%
7 40
 
6.4%
5 39
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
D 2
40.0%
C 1
20.0%
B 1
20.0%
S 1
20.0%
Space Separator
ValueCountFrequency (%)
565
100.0%
Close Punctuation
ValueCountFrequency (%)
) 132
100.0%
Open Punctuation
ValueCountFrequency (%)
( 132
100.0%
Other Punctuation
ValueCountFrequency (%)
, 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2667
64.1%
Common 1487
35.8%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 226
 
8.5%
금 180
 
6.7%
산 180
 
6.7%
서 176
 
6.6%
울 172
 
6.4%
특 171
 
6.4%
별 171
 
6.4%
천 171
 
6.4%
구 171
 
6.4%
로 166
 
6.2%
Other values (73) 883
33.1%
Common
ValueCountFrequency (%)
565
38.0%
1 150
 
10.1%
) 132
 
8.9%
( 132
 
8.9%
2 93
 
6.3%
3 67
 
4.5%
9 61
 
4.1%
4 45
 
3.0%
6 44
 
3.0%
0 42
 
2.8%
Other values (6) 156
 
10.5%
Latin
ValueCountFrequency (%)
D 2
40.0%
C 1
20.0%
B 1
20.0%
S 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2667
64.1%
ASCII 1492
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
565
37.9%
1 150
 
10.1%
) 132
 
8.8%
( 132
 
8.8%
2 93
 
6.2%
3 67
 
4.5%
9 61
 
4.1%
4 45
 
3.0%
6 44
 
2.9%
0 42
 
2.8%
Other values (10) 161
 
10.8%
Hangul
ValueCountFrequency (%)
시 226
 
8.5%
금 180
 
6.7%
산 180
 
6.7%
서 176
 
6.6%
울 172
 
6.4%
특 171
 
6.4%
별 171
 
6.4%
천 171
 
6.4%
구 171
 
6.4%
로 166
 
6.2%
Other values (73) 883
33.1%

관리대상기준
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
연면적 2천제곱미터이상
102 
연면적 430제곱미터이상
28 
모든대규모점포
12 
연면적 1천제곱미터이상
 
10
연면적2천제곱미터이상 (병상수100개이상)
 
10
Other values (5)
 
9

Length

Max length23
Median length12
Mean length12.345029
Min length6

Unique

Unique3 ?
Unique (%)1.8%

Sample

1st row모든지하역사
2nd row연면적 430제곱미터이상
3rd row연면적 430제곱미터이상
4th row연면적 430제곱미터이상
5th row연면적 430제곱미터이상

Common Values

ValueCountFrequency (%)
연면적 2천제곱미터이상 102
59.6%
연면적 430제곱미터이상 28
 
16.4%
모든대규모점포 12
 
7.0%
연면적 1천제곱미터이상 10
 
5.8%
연면적2천제곱미터이상 (병상수100개이상) 10
 
5.8%
연면적300제곱미터이상 4
 
2.3%
실내영화상영관 2
 
1.2%
모든지하역사 1
 
0.6%
연면적 500제곱미터이상 1
 
0.6%
모든 대규모점포 1
 
0.6%

Length

2023-12-13T02:22:29.137196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:22:29.279597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
연면적 141
43.7%
2천제곱미터이상 102
31.6%
430제곱미터이상 28
 
8.7%
모든대규모점포 12
 
3.7%
1천제곱미터이상 10
 
3.1%
연면적2천제곱미터이상 10
 
3.1%
병상수100개이상 10
 
3.1%
연면적300제곱미터이상 4
 
1.2%
실내영화상영관 2
 
0.6%
모든지하역사 1
 
0.3%
Other values (3) 3
 
0.9%

전화번호
Text

Distinct154
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T02:22:29.578859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.356725
Min length7

Characters and Unicode

Total characters1942
Distinct characters18
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

Unique147 ?
Unique (%)86.0%

Sample

1st row02-808-1175
2nd row02-805-1215
3rd row02-839-3550
4th row02-830-8992
5th row02-807-2460
ValueCountFrequency (%)
데이터 9
 
5.0%
미수집 9
 
5.0%
02-2109-7015 5
 
2.8%
02-890-8118 2
 
1.1%
02-2145-8000 2
 
1.1%
02-2081-0119 2
 
1.1%
02-809-7530 2
 
1.1%
02-3286-9001 2
 
1.1%
02-808-1175 1
 
0.6%
02-2038-2567 1
 
0.6%
Other values (145) 145
80.6%
2023-12-13T02:22:29.987300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 360
18.5%
2 337
17.4%
- 323
16.6%
1 183
9.4%
8 154
7.9%
6 112
 
5.8%
9 102
 
5.3%
5 89
 
4.6%
7 76
 
3.9%
4 73
 
3.8%
Other values (8) 133
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1556
80.1%
Dash Punctuation 323
 
16.6%
Other Letter 54
 
2.8%
Space Separator 9
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 360
23.1%
2 337
21.7%
1 183
11.8%
8 154
9.9%
6 112
 
7.2%
9 102
 
6.6%
5 89
 
5.7%
7 76
 
4.9%
4 73
 
4.7%
3 70
 
4.5%
Other Letter
ValueCountFrequency (%)
집 9
16.7%
수 9
16.7%
미 9
16.7%
이 9
16.7%
터 9
16.7%
데 9
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 323
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1888
97.2%
Hangul 54
 
2.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 360
19.1%
2 337
17.8%
- 323
17.1%
1 183
9.7%
8 154
8.2%
6 112
 
5.9%
9 102
 
5.4%
5 89
 
4.7%
7 76
 
4.0%
4 73
 
3.9%
Other values (2) 79
 
4.2%
Hangul
ValueCountFrequency (%)
집 9
16.7%
수 9
16.7%
미 9
16.7%
이 9
16.7%
터 9
16.7%
데 9
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1888
97.2%
Hangul 54
 
2.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 360
19.1%
2 337
17.8%
- 323
17.1%
1 183
9.7%
8 154
8.2%
6 112
 
5.9%
9 102
 
5.4%
5 89
 
4.7%
7 76
 
4.0%
4 73
 
3.9%
Other values (2) 79
 
4.2%
Hangul
ValueCountFrequency (%)
집 9
16.7%
수 9
16.7%
미 9
16.7%
이 9
16.7%
터 9
16.7%
데 9
16.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2023-09-19 00:00:00
Maximum2023-09-19 00:00:00
2023-12-13T02:22:30.098826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:22:30.186507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-13T02:22:30.253252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분관리대상기준
시설구분1.0000.985
관리대상기준0.9851.000
2023-12-13T02:22:30.343325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리대상기준시설구분
관리대상기준1.0000.936
시설구분0.9361.000
2023-12-13T02:22:30.433171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분관리대상기준
시설구분1.0000.936
관리대상기준0.9361.000

Missing values

2023-12-13T02:22:27.344271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:22:27.466425image/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

상호시설구분주소관리대상기준전화번호데이터기준일자
0가산디지털단지역지하역사서울특별시 금천구 벚꽃로 309(가산동)모든지하역사02-808-11752023-09-19
1구립금주어린이집어린이집서울특별시 금천구 시흥대로70길 34(시흥동)연면적 430제곱미터이상02-805-12152023-09-19
2구립꿈나래어린이집어린이집서울특별시 금천구 금하로 3길 32(시흥동)연면적 430제곱미터이상02-839-35502023-09-19
3구립독산본동어린이집어린이집서울특별시 금천구 시흥대로150길 79(독산동)연면적 430제곱미터이상02-830-89922023-09-19
4구립별마루어린이집어린이집서울특별시 금천구 독산로94길 17(독산동)연면적 430제곱미터이상02-807-24602023-09-19
5구립새길어린이집어린이집서울특별시 금천구 시흥대로12길 82(시흥동)연면적 430제곱미터이상02-808-93772023-09-19
6구립새롬어린이집어린이집서울특별시 금천구 독산로58가길 88연면적 430제곱미터이상02-892-24152023-09-19
7구립시흥5동어린이집어린이집서울특별시 금천구 독산로10길 24(시흥동)연면적 430제곱미터이상02-809-99702023-09-19
8구립올고운어린이집어린이집서울특별시 금천구 금하로29길 30연면적 430제곱미터이상02-865-72202023-09-19
9근로복지공단모아래어린이집어린이집서울특별시 금천구 가산로9길 35(가산동)연면적 430제곱미터이상02-805-21762023-09-19
상호시설구분주소관리대상기준전화번호데이터기준일자
161마리오아울렛1관대규모점포서울특별시 금천구 디지털로 185모든대규모점포02-2109-70152023-09-19
162롯데쇼핑㈜아울렛대규모점포서울특별시 금천구 벚꽃로 278(가산동)모든대규모점포02-2623-29212023-09-19
163롯데쇼핑㈜롯데마트 금천점대규모점포서울특별시 금천구 시흥대로 291모든대규모점포02-2145-80002023-09-19
164롯데캐슬골드파크2차 마르쉐도르대규모점포서울특별시 금천구 벚꽃로 30(독산동)모든대규모점포02-802-88352023-09-19
165롯데캐슬 골드파크4차 마르쉐도르대규모점포서울특별시 금천구 시흥대로 315(독산동)모든대규모점포02-3440-22542023-09-19
166닥터밸런스 마리오아울렛점실내어린이놀이시설서울특별시 금천구 벚꽃로 266 (가산동)마리오아울렛3관 7층연면적 430제곱미터이상02-853-48182023-09-19
167리틀서울랜드(가산점)실내어린이놀이시설서울특별시 금천구 디지털로10길 9 (가산동) 지하1층연면적 430제곱미터이상02-2931-98012023-09-19
168플레이타임 더블유몰점실내어린이놀이시설서울특별시 금천구 디지털로 188 (가산동)7층연면적 430제곱미터이상02-2081-07312023-09-19
169챔피언 금천홈플러스점실내어린이놀이시설서울특별시 금천구 시흥대로 391 (독산동) 4층연면적 430제곱미터이상02-808-08062023-09-19
170퐁퐁플라워 서쪽나라실내어린이놀이시설서울특별시 금천구 벚꽃로 278 (가산동)3층연면적 430제곱미터이상02-452-44882023-09-19