Overview

Dataset statistics

Number of variables17
Number of observations96
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.1 KiB
Average record size in memory139.4 B

Variable types

Categorical8
Text5
DateTime2
Numeric2

Dataset

Description경기도 수원시 미세먼지쉼터 데이터로 시설유형, 쉼터명, 소재지 위치(주소, 위경도), 설치일자, 시설면적, 수용규모, 운영시간 등을 포함합니다
Author경기도 수원시
URLhttps://www.data.go.kr/data/15125389/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
관리부서 is highly overall correlated with 위도 and 7 other fieldsHigh correlation
전화번호 is highly overall correlated with 위도 and 7 other fieldsHigh correlation
시설유형 is highly overall correlated with 위도 and 6 other fieldsHigh correlation
위도 is highly overall correlated with 시설유형 and 3 other fieldsHigh correlation
지정 공간 is highly overall correlated with 위도 and 7 other fieldsHigh correlation
평일운영시간 is highly overall correlated with 시설유형 and 5 other fieldsHigh correlation
주말및공휴일운영시간 is highly overall correlated with 시설유형 and 6 other fieldsHigh correlation
공기청정 설비 is highly overall correlated with 지정 공간 and 3 other fieldsHigh correlation
환기시설 설비 is highly overall correlated with 시설유형 and 5 other fieldsHigh correlation
지정 공간 is highly imbalanced (57.5%)Imbalance
쉼터명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지지번주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-16 15:00:35.374383
Analysis finished2023-12-16 15:00:43.353891
Duration7.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설유형
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size900.0 B
경로당
68 
도서관
15 
어르신돌봄과
 
5
어린이도서관
 
3
행정복지센터
 
3
Other values (2)
 
2

Length

Max length6
Median length3
Mean length3.375
Min length3

Unique

Unique2 ?
Unique (%)2.1%

Sample

1st row어르신돌봄과
2nd row어르신돌봄과
3rd row어르신돌봄과
4th row어르신돌봄과
5th row도서관

Common Values

ValueCountFrequency (%)
경로당 68
70.8%
도서관 15
 
15.6%
어르신돌봄과 5
 
5.2%
어린이도서관 3
 
3.1%
행정복지센터 3
 
3.1%
체험교육시설 1
 
1.0%
미술관 1
 
1.0%

Length

2023-12-16T15:00:43.632499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:00:44.074135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경로당 68
70.8%
도서관 15
 
15.6%
어르신돌봄과 5
 
5.2%
어린이도서관 3
 
3.1%
행정복지센터 3
 
3.1%
체험교육시설 1
 
1.0%
미술관 1
 
1.0%

쉼터명
Text

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
2023-12-16T15:00:44.801575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length6.1770833
Min length5

Characters and Unicode

Total characters593
Distinct characters150
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

Unique96 ?
Unique (%)100.0%

Sample

1st rowSK청솔노인복지관
2nd row버드내노인복지관
3rd row팔달노인복지관
4th row광교노인복지관
5th row북수원도서관
ValueCountFrequency (%)
sk청솔노인복지관 1
 
1.0%
버드내노인복지관 1
 
1.0%
미나리광경로당 1
 
1.0%
꽃뫼경로당 1
 
1.0%
서문경로당 1
 
1.0%
화서1동경로당 1
 
1.0%
고등촌경로당 1
 
1.0%
고등분회경로당 1
 
1.0%
매산3가경로당 1
 
1.0%
매산경로당 1
 
1.0%
Other values (86) 86
89.6%
2023-12-16T15:00:46.515937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 70
 
11.8%
당 70
 
11.8%
경 68
 
11.5%
관 24
 
4.0%
서 23
 
3.9%
도 18
 
3.0%
동 15
 
2.5%
지 10
 
1.7%
원 10
 
1.7%
교 9
 
1.5%
Other values (140) 276
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 582
98.1%
Decimal Number 7
 
1.2%
Uppercase Letter 2
 
0.3%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 70
 
12.0%
당 70
 
12.0%
경 68
 
11.7%
관 24
 
4.1%
서 23
 
4.0%
도 18
 
3.1%
동 15
 
2.6%
지 10
 
1.7%
원 10
 
1.7%
교 9
 
1.5%
Other values (133) 265
45.5%
Decimal Number
ValueCountFrequency (%)
2 4
57.1%
1 2
28.6%
3 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 582
98.1%
Common 9
 
1.5%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 70
 
12.0%
당 70
 
12.0%
경 68
 
11.7%
관 24
 
4.1%
서 23
 
4.0%
도 18
 
3.1%
동 15
 
2.6%
지 10
 
1.7%
원 10
 
1.7%
교 9
 
1.5%
Other values (133) 265
45.5%
Common
ValueCountFrequency (%)
2 4
44.4%
1 2
22.2%
3 1
 
11.1%
) 1
 
11.1%
( 1
 
11.1%
Latin
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 582
98.1%
ASCII 11
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 70
 
12.0%
당 70
 
12.0%
경 68
 
11.7%
관 24
 
4.1%
서 23
 
4.0%
도 18
 
3.1%
동 15
 
2.6%
지 10
 
1.7%
원 10
 
1.7%
교 9
 
1.5%
Other values (133) 265
45.5%
ASCII
ValueCountFrequency (%)
2 4
36.4%
1 2
18.2%
3 1
 
9.1%
S 1
 
9.1%
) 1
 
9.1%
( 1
 
9.1%
K 1
 
9.1%

소재지도로명주소
Text

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
2023-12-16T15:00:47.757320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length22.375
Min length17

Characters and Unicode

Total characters2148
Distinct characters108
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)100.0%

Sample

1st row경기도 수원시 장안구 장안로 174
2nd row경기도 수원시 권선구 권선로564번길 36
3rd row경기도 수원시 팔달구 수원천로 343
4th row경기도 수원시 영통구 센트럴타운로 22
5th row경기도 수원시 장안구 만석로 65
ValueCountFrequency (%)
경기도 96
20.0%
수원시 96
20.0%
팔달구 25
 
5.2%
장안구 24
 
5.0%
권선구 24
 
5.0%
영통구 23
 
4.8%
10 3
 
0.6%
23 3
 
0.6%
36 3
 
0.6%
77 2
 
0.4%
Other values (173) 182
37.8%
2023-12-16T15:00:49.546762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
385
17.9%
수 111
 
5.2%
원 108
 
5.0%
경 101
 
4.7%
구 98
 
4.6%
도 96
 
4.5%
시 96
 
4.5%
기 96
 
4.5%
로 96
 
4.5%
1 84
 
3.9%
Other values (98) 877
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1309
60.9%
Decimal Number 416
 
19.4%
Space Separator 385
 
17.9%
Dash Punctuation 37
 
1.7%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 111
 
8.5%
원 108
 
8.3%
경 101
 
7.7%
구 98
 
7.5%
도 96
 
7.3%
시 96
 
7.3%
기 96
 
7.3%
로 96
 
7.3%
길 60
 
4.6%
번 60
 
4.6%
Other values (85) 387
29.6%
Decimal Number
ValueCountFrequency (%)
1 84
20.2%
3 54
13.0%
5 49
11.8%
2 44
10.6%
6 40
9.6%
4 39
9.4%
9 30
 
7.2%
7 29
 
7.0%
8 29
 
7.0%
0 18
 
4.3%
Space Separator
ValueCountFrequency (%)
385
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1309
60.9%
Common 839
39.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 111
 
8.5%
원 108
 
8.3%
경 101
 
7.7%
구 98
 
7.5%
도 96
 
7.3%
시 96
 
7.3%
기 96
 
7.3%
로 96
 
7.3%
길 60
 
4.6%
번 60
 
4.6%
Other values (85) 387
29.6%
Common
ValueCountFrequency (%)
385
45.9%
1 84
 
10.0%
3 54
 
6.4%
5 49
 
5.8%
2 44
 
5.2%
6 40
 
4.8%
4 39
 
4.6%
- 37
 
4.4%
9 30
 
3.6%
7 29
 
3.5%
Other values (3) 48
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1309
60.9%
ASCII 839
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
385
45.9%
1 84
 
10.0%
3 54
 
6.4%
5 49
 
5.8%
2 44
 
5.2%
6 40
 
4.8%
4 39
 
4.6%
- 37
 
4.4%
9 30
 
3.6%
7 29
 
3.5%
Other values (3) 48
 
5.7%
Hangul
ValueCountFrequency (%)
수 111
 
8.5%
원 108
 
8.3%
경 101
 
7.7%
구 98
 
7.5%
도 96
 
7.3%
시 96
 
7.3%
기 96
 
7.3%
로 96
 
7.3%
길 60
 
4.6%
번 60
 
4.6%
Other values (85) 387
29.6%

소재지지번주소
Text

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
2023-12-16T15:00:50.819470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length8.7916667
Min length6

Characters and Unicode

Total characters844
Distinct characters73
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

Unique96 ?
Unique (%)100.0%

Sample

1st row정자동 293-2
2nd row세류동 483
3rd row북수동 274-7
4th row이의동 1328-1
5th row정자동 869-1
ValueCountFrequency (%)
매탄동 8
 
4.2%
정자동 5
 
2.6%
조원동 5
 
2.6%
세류동 5
 
2.6%
우만동 5
 
2.6%
망포동 4
 
2.1%
인계동 4
 
2.1%
화서동 4
 
2.1%
탑동 4
 
2.1%
이의동 4
 
2.1%
Other values (125) 144
75.0%
2023-12-16T15:00:52.530142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97
 
11.5%
동 93
 
11.0%
1 78
 
9.2%
- 69
 
8.2%
2 60
 
7.1%
3 43
 
5.1%
4 42
 
5.0%
6 33
 
3.9%
9 33
 
3.9%
7 31
 
3.7%
Other values (63) 265
31.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 392
46.4%
Other Letter 286
33.9%
Space Separator 97
 
11.5%
Dash Punctuation 69
 
8.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 93
32.5%
매 15
 
5.2%
탄 8
 
2.8%
천 7
 
2.4%
원 7
 
2.4%
정 6
 
2.1%
화 6
 
2.1%
이 6
 
2.1%
조 5
 
1.7%
우 5
 
1.7%
Other values (51) 128
44.8%
Decimal Number
ValueCountFrequency (%)
1 78
19.9%
2 60
15.3%
3 43
11.0%
4 42
10.7%
6 33
8.4%
9 33
8.4%
7 31
 
7.9%
5 26
 
6.6%
0 25
 
6.4%
8 21
 
5.4%
Space Separator
ValueCountFrequency (%)
97
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 558
66.1%
Hangul 286
33.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 93
32.5%
매 15
 
5.2%
탄 8
 
2.8%
천 7
 
2.4%
원 7
 
2.4%
정 6
 
2.1%
화 6
 
2.1%
이 6
 
2.1%
조 5
 
1.7%
우 5
 
1.7%
Other values (51) 128
44.8%
Common
ValueCountFrequency (%)
97
17.4%
1 78
14.0%
- 69
12.4%
2 60
10.8%
3 43
7.7%
4 42
7.5%
6 33
 
5.9%
9 33
 
5.9%
7 31
 
5.6%
5 26
 
4.7%
Other values (2) 46
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 558
66.1%
Hangul 286
33.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
97
17.4%
1 78
14.0%
- 69
12.4%
2 60
10.8%
3 43
7.7%
4 42
7.5%
6 33
 
5.9%
9 33
 
5.9%
7 31
 
5.6%
5 26
 
4.7%
Other values (2) 46
8.2%
Hangul
ValueCountFrequency (%)
동 93
32.5%
매 15
 
5.2%
탄 8
 
2.8%
천 7
 
2.4%
원 7
 
2.4%
정 6
 
2.1%
화 6
 
2.1%
이 6
 
2.1%
조 5
 
1.7%
우 5
 
1.7%
Other values (51) 128
44.8%

설치연월
Date

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
Minimum2020-01-01 00:00:00
Maximum2021-06-01 00:00:00
2023-12-16T15:00:53.072530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:00:53.738666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

지정 공간
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct22
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Memory size900.0 B
시설전체
72 
아기둥지
 
2
1층 로비
 
2
1층 로비, 1~3층 자료실
 
2
1층로비
 
1
Other values (17)
17 

Length

Max length22
Median length4
Mean length5.4791667
Min length4

Unique

Unique18 ?
Unique (%)18.8%

Sample

1st rowB동 2층 엘림(휴게실)
2nd row2층~3층 로비
3rd row1층로비, 장기바둑실
4th row지하1층 아가페
5th row시설전체

Common Values

ValueCountFrequency (%)
시설전체 72
75.0%
아기둥지 2
 
2.1%
1층 로비 2
 
2.1%
1층 로비, 1~3층 자료실 2
 
2.1%
1층로비 1
 
1.0%
1층로비, 장기바둑실 1
 
1.0%
지하1층 아가페 1
 
1.0%
1층(로비, 어린이자료실) 1
 
1.0%
1층(아기둥지방, 어린이자료실, 한림홀) 1
 
1.0%
1층(건강정보실, 유아실) 1
 
1.0%
Other values (12) 12
 
12.5%

Length

2023-12-16T15:00:54.246047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
시설전체 72
58.1%
로비 7
 
5.6%
1층 6
 
4.8%
어린이자료실 3
 
2.4%
자료실 3
 
2.4%
2층 2
 
1.6%
열람실 2
 
1.6%
아기둥지 2
 
1.6%
1층(로비 2
 
1.6%
지하1층 2
 
1.6%
Other values (21) 23
 
18.5%

시설면적
Text

Distinct94
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size900.0 B
2023-12-16T15:00:55.106209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.9479167
Min length2

Characters and Unicode

Total characters475
Distinct characters12
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

Unique92 ?
Unique (%)95.8%

Sample

1st row3583.84
2nd row7114.89
3rd row4887.79
4th row4700.52
5th row4480
ValueCountFrequency (%)
145 2
 
2.1%
115 2
 
2.1%
3583.84 1
 
1.0%
132.18 1
 
1.0%
112.03 1
 
1.0%
78.42 1
 
1.0%
69.3 1
 
1.0%
438 1
 
1.0%
85.47 1
 
1.0%
122.24 1
 
1.0%
Other values (84) 84
87.5%
2023-12-16T15:00:58.809236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 77
16.2%
. 62
13.1%
2 52
10.9%
4 42
8.8%
5 41
8.6%
9 39
8.2%
3 37
7.8%
8 36
7.6%
6 35
7.4%
7 29
 
6.1%
Other values (2) 25
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 411
86.5%
Other Punctuation 64
 
13.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 77
18.7%
2 52
12.7%
4 42
10.2%
5 41
10.0%
9 39
9.5%
3 37
9.0%
8 36
8.8%
6 35
8.5%
7 29
 
7.1%
0 23
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 62
96.9%
, 2
 
3.1%

Most occurring scripts

ValueCountFrequency (%)
Common 475
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 77
16.2%
. 62
13.1%
2 52
10.9%
4 42
8.8%
5 41
8.6%
9 39
8.2%
3 37
7.8%
8 36
7.6%
6 35
7.4%
7 29
 
6.1%
Other values (2) 25
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 475
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 77
16.2%
. 62
13.1%
2 52
10.9%
4 42
8.8%
5 41
8.6%
9 39
8.2%
3 37
7.8%
8 36
7.6%
6 35
7.4%
7 29
 
6.1%
Other values (2) 25
 
5.3%

수용규모
Text

Distinct54
Distinct (%)56.2%
Missing0
Missing (%)0.0%
Memory size900.0 B
2023-12-16T15:01:00.277037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.21875
Min length1

Characters and Unicode

Total characters213
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

Unique29 ?
Unique (%)30.2%

Sample

1st row120
2nd row200
3rd row500
4th row700
5th row800
ValueCountFrequency (%)
30 6
 
6.2%
34 5
 
5.2%
36 4
 
4.2%
35 3
 
3.1%
50 3
 
3.1%
24 3
 
3.1%
19 3
 
3.1%
600 3
 
3.1%
40 3
 
3.1%
500 3
 
3.1%
Other values (44) 60
62.5%
2023-12-16T15:01:01.961967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 38
17.8%
3 34
16.0%
2 26
12.2%
5 25
11.7%
4 23
10.8%
6 23
10.8%
1 16
7.5%
9 9
 
4.2%
7 9
 
4.2%
8 9
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 212
99.5%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 38
17.9%
3 34
16.0%
2 26
12.3%
5 25
11.8%
4 23
10.8%
6 23
10.8%
1 16
7.5%
9 9
 
4.2%
7 9
 
4.2%
8 9
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 213
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 38
17.8%
3 34
16.0%
2 26
12.2%
5 25
11.7%
4 23
10.8%
6 23
10.8%
1 16
7.5%
9 9
 
4.2%
7 9
 
4.2%
8 9
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 213
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 38
17.8%
3 34
16.0%
2 26
12.2%
5 25
11.7%
4 23
10.8%
6 23
10.8%
1 16
7.5%
9 9
 
4.2%
7 9
 
4.2%
8 9
 
4.2%

평일운영시간
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size900.0 B
09:00~18:00
44 
13:00~17:00
32 
07:00~23:00
11 
09:00~21:00
 
4
10:00~17:00
 
3
Other values (2)
 
2

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique2 ?
Unique (%)2.1%

Sample

1st row09:00~18:00
2nd row09:00~18:00
3rd row09:00~18:00
4th row09:00~18:00
5th row07:00~23:00

Common Values

ValueCountFrequency (%)
09:00~18:00 44
45.8%
13:00~17:00 32
33.3%
07:00~23:00 11
 
11.5%
09:00~21:00 4
 
4.2%
10:00~17:00 3
 
3.1%
10:00~18:00 1
 
1.0%
09:00~17:00 1
 
1.0%

Length

2023-12-16T15:01:02.626608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:01:03.016316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00~18:00 44
45.8%
13:00~17:00 32
33.3%
07:00~23:00 11
 
11.5%
09:00~21:00 4
 
4.2%
10:00~17:00 3
 
3.1%
10:00~18:00 1
 
1.0%
09:00~17:00 1
 
1.0%

주말및공휴일운영시간
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size900.0 B
미운영
60 
상시변동
16 
07:00~21:00
7 
09:00~18:00
7 
07:00~23:00
 
4
Other values (2)
 
2

Length

Max length11
Median length3
Mean length4.8333333
Min length3

Unique

Unique2 ?
Unique (%)2.1%

Sample

1st row미운영
2nd row미운영
3rd row미운영
4th row미운영
5th row07:00~23:00

Common Values

ValueCountFrequency (%)
미운영 60
62.5%
상시변동 16
 
16.7%
07:00~21:00 7
 
7.3%
09:00~18:00 7
 
7.3%
07:00~23:00 4
 
4.2%
10:00~17:00 1
 
1.0%
10:00~18:00 1
 
1.0%

Length

2023-12-16T15:01:03.916812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:01:04.605453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미운영 60
62.5%
상시변동 16
 
16.7%
07:00~21:00 7
 
7.3%
09:00~18:00 7
 
7.3%
07:00~23:00 4
 
4.2%
10:00~17:00 1
 
1.0%
10:00~18:00 1
 
1.0%

공기청정 설비
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size900.0 B
Y(공기청정기 1대)
43 
Y(공기청정기 2대)
37 
Y(공기청정기 10대)
 
4
Y(공기청정기 4대)
 
4
Y(공기청정기 7대)
 
2
Other values (5)
6 

Length

Max length12
Median length11
Mean length11.072917
Min length11

Unique

Unique4 ?
Unique (%)4.2%

Sample

1st rowY(공기청정기 1대)
2nd rowY(공기청정기 5대)
3rd rowY(공기청정기 2대)
4th rowY(공기청정기 1대)
5th rowY(공기청정기 11대)

Common Values

ValueCountFrequency (%)
Y(공기청정기 1대) 43
44.8%
Y(공기청정기 2대) 37
38.5%
Y(공기청정기 10대) 4
 
4.2%
Y(공기청정기 4대) 4
 
4.2%
Y(공기청정기 7대) 2
 
2.1%
Y(공기청정기 8대) 2
 
2.1%
Y(공기청정기 5대) 1
 
1.0%
Y(공기청정기 11대) 1
 
1.0%
Y(공기청정기 14대) 1
 
1.0%
Y(공기청정기 15대) 1
 
1.0%

Length

2023-12-16T15:01:05.353067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:01:05.869711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y(공기청정기 96
50.0%
1대 43
22.4%
2대 37
 
19.3%
10대 4
 
2.1%
4대 4
 
2.1%
7대 2
 
1.0%
8대 2
 
1.0%
5대 1
 
0.5%
11대 1
 
0.5%
14대 1
 
0.5%

환기시설 설비
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
N
53 
Y
42 
Y(미디움필터냉난방공조기)
 
1

Length

Max length14
Median length1
Mean length1.1354167
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
N 53
55.2%
Y 42
43.8%
Y(미디움필터냉난방공조기) 1
 
1.0%

Length

2023-12-16T15:01:06.642381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:01:07.084188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 53
55.2%
y 42
43.8%
y(미디움필터냉난방공조기 1
 
1.0%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.225354
Minimum32.23893
Maximum37.320709
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2023-12-16T15:01:07.685449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32.23893
5-th percentile37.240565
Q137.264472
median37.277216
Q337.292779
95-th percentile37.305852
Maximum37.320709
Range5.0817785
Interquartile range (IQR)0.028307125

Descriptive statistics

Standard deviation0.51464942
Coefficient of variation (CV)0.013825239
Kurtosis95.717308
Mean37.225354
Median Absolute Deviation (MAD)0.01506825
Skewness-9.7765479
Sum3573.634
Variance0.26486403
MonotonicityNot monotonic
2023-12-16T15:01:08.440740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.2990115 1
 
1.0%
37.2775667 1
 
1.0%
37.2885031 1
 
1.0%
37.279942 1
 
1.0%
37.2876541 1
 
1.0%
37.287021 1
 
1.0%
37.282238 1
 
1.0%
37.271849 1
 
1.0%
37.2774454 1
 
1.0%
37.2655594 1
 
1.0%
Other values (86) 86
89.6%
ValueCountFrequency (%)
32.23893 1
1.0%
37.2341539 1
1.0%
37.23763 1
1.0%
37.23875 1
1.0%
37.24007 1
1.0%
37.24073 1
1.0%
37.2421724 1
1.0%
37.2440524 1
1.0%
37.2445605 1
1.0%
37.24789 1
1.0%
ValueCountFrequency (%)
37.3207085 1
1.0%
37.3157303 1
1.0%
37.3078214 1
1.0%
37.30663 1
1.0%
37.3063661 1
1.0%
37.30568 1
1.0%
37.3055838 1
1.0%
37.3041545 1
1.0%
37.3031 1
1.0%
37.3022481 1
1.0%

경도
Real number (ℝ)

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.01375
Minimum126.93815
Maximum127.08082
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2023-12-16T15:01:09.124764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.93815
5-th percentile126.95902
Q1126.99665
median127.01454
Q3127.03899
95-th percentile127.06408
Maximum127.08082
Range0.1426645
Interquartile range (IQR)0.042342625

Descriptive statistics

Standard deviation0.031835366
Coefficient of variation (CV)0.00025064504
Kurtosis-0.44882294
Mean127.01375
Median Absolute Deviation (MAD)0.02195795
Skewness-0.13893373
Sum12193.32
Variance0.0010134905
MonotonicityNot monotonic
2023-12-16T15:01:09.714004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9974825 1
 
1.0%
126.9713101 1
 
1.0%
127.0265042 1
 
1.0%
127.0212632 1
 
1.0%
126.9889527 1
 
1.0%
127.0068091 1
 
1.0%
127.0008089 1
 
1.0%
127.005582 1
 
1.0%
127.0055531 1
 
1.0%
127.0073235 1
 
1.0%
Other values (86) 86
89.6%
ValueCountFrequency (%)
126.9381542 1
1.0%
126.9409418 1
1.0%
126.9561659 1
1.0%
126.95806 1
1.0%
126.9588476 1
1.0%
126.9590827 1
1.0%
126.9665263 1
1.0%
126.96864 1
1.0%
126.97131 1
1.0%
126.9713101 1
1.0%
ValueCountFrequency (%)
127.0808187 1
1.0%
127.0782061 1
1.0%
127.07054 1
1.0%
127.07008 1
1.0%
127.06588 1
1.0%
127.0634776 1
1.0%
127.0593555 1
1.0%
127.0587771 1
1.0%
127.0570198 1
1.0%
127.0527312 1
1.0%

관리부서
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size900.0 B
팔달구 사회복지과
22 
장안구 사회복지과
17 
권선구 사회복지과
16 
영통구 사회복지과
13 
광교홍재도서관
6 
Other values (10)
22 

Length

Max length9
Median length9
Mean length8.09375
Min length4

Unique

Unique5 ?
Unique (%)5.2%

Sample

1st row어르신돌봄과
2nd row어르신돌봄과
3rd row어르신돌봄과
4th row어르신돌봄과
5th row북수원도서관

Common Values

ValueCountFrequency (%)
팔달구 사회복지과 22
22.9%
장안구 사회복지과 17
17.7%
권선구 사회복지과 16
16.7%
영통구 사회복지과 13
13.5%
광교홍재도서관 6
 
6.2%
어르신돌봄과 5
 
5.2%
호매실도서관 4
 
4.2%
북수원도서관 3
 
3.1%
도서관정책과 3
 
3.1%
선경도서관 2
 
2.1%
Other values (5) 5
 
5.2%

Length

2023-12-16T15:01:10.398355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사회복지과 68
41.5%
팔달구 22
 
13.4%
장안구 17
 
10.4%
권선구 16
 
9.8%
영통구 13
 
7.9%
광교홍재도서관 6
 
3.7%
어르신돌봄과 5
 
3.0%
호매실도서관 4
 
2.4%
북수원도서관 3
 
1.8%
도서관정책과 3
 
1.8%
Other values (6) 7
 
4.3%

전화번호
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
031-228-7257
22 
031-228-5240
17 
031-228-6316
16 
031-228-8867
13 
031-228-3092
5 
Other values (21)
23 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique20 ?
Unique (%)20.8%

Sample

1st row031-228-3092
2nd row031-228-3092
3rd row031-228-3092
4th row031-228-3092
5th row031-228-4774

Common Values

ValueCountFrequency (%)
031-228-7257 22
22.9%
031-228-5240 17
17.7%
031-228-6316 16
16.7%
031-228-8867 13
13.5%
031-228-3092 5
 
5.2%
031-228-4803 3
 
3.1%
031-228-4813 1
 
1.0%
031-228-4819 1
 
1.0%
031-228-3656 1
 
1.0%
031-228-4798 1
 
1.0%
Other values (16) 16
16.7%

Length

2023-12-16T15:01:10.875962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
031-228-7257 22
22.9%
031-228-5240 17
17.7%
031-228-6316 16
16.7%
031-228-8867 13
13.5%
031-228-3092 5
 
5.2%
031-228-4803 3
 
3.1%
031-228-4752 1
 
1.0%
031-228-4774 1
 
1.0%
031-228-8468 1
 
1.0%
031-228-3442 1
 
1.0%
Other values (16) 16
16.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
Minimum2023-11-20 00:00:00
Maximum2023-11-20 00:00:00
2023-12-16T15:01:11.581313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:01:12.136004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-16T15:00:40.721827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:00:39.968967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:00:41.169357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:00:40.268259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-16T15:01:12.622602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설유형쉼터명소재지도로명주소소재지지번주소설치연월지정 공간시설면적수용규모평일운영시간주말및공휴일운영시간공기청정 설비환기시설 설비위도경도관리부서전화번호
시설유형1.0001.0001.0001.0000.8800.9881.0000.9270.9320.9690.6320.8560.4940.0001.0001.000
쉼터명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
설치연월0.8801.0001.0001.0001.0000.9741.0000.9850.7720.7450.9370.3210.0000.0000.9460.994
지정 공간0.9881.0001.0001.0000.9741.0001.0000.9850.8630.9580.9200.8981.0000.0000.9570.985
시설면적1.0001.0001.0001.0001.0001.0001.0000.9980.5090.9871.0000.9521.0000.9750.9950.999
수용규모0.9271.0001.0001.0000.9850.9850.9981.0000.8120.9240.9740.0001.0000.5420.9490.985
평일운영시간0.9321.0001.0001.0000.7720.8630.5090.8121.0000.9610.6660.6240.0000.3560.9540.953
주말및공휴일운영시간0.9691.0001.0001.0000.7450.9580.9870.9240.9611.0000.7640.8030.0000.3430.9781.000
공기청정 설비0.6321.0001.0001.0000.9370.9201.0000.9740.6660.7641.0000.3430.0000.3990.8500.981
환기시설 설비0.8561.0001.0001.0000.3210.8980.9520.0000.6240.8030.3431.0000.0000.5250.9990.983
위도0.4941.0001.0001.0000.0001.0001.0001.0000.0000.0000.0000.0001.0000.0001.0001.000
경도0.0001.0001.0001.0000.0000.0000.9750.5420.3560.3430.3990.5250.0001.0000.6330.675
관리부서1.0001.0001.0001.0000.9460.9570.9950.9490.9540.9780.8500.9991.0000.6331.0001.000
전화번호1.0001.0001.0001.0000.9940.9850.9990.9850.9531.0000.9810.9831.0000.6751.0001.000
2023-12-16T15:01:13.101983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리부서지정 공간공기청정 설비평일운영시간주말및공휴일운영시간환기시설 설비전화번호시설유형
관리부서1.0000.6920.5040.7950.8710.8920.9300.954
지정 공간0.6921.0000.6210.5420.7470.6800.8000.854
공기청정 설비0.5040.6211.0000.4090.5160.2090.7950.378
평일운영시간0.7950.5420.4091.0000.6970.5090.7140.607
주말및공휴일운영시간0.8710.7470.5160.6971.0000.7400.8870.726
환기시설 설비0.8920.6800.2090.5090.7401.0000.8230.818
전화번호0.9300.8000.7950.7140.8870.8231.0000.887
시설유형0.9540.8540.3780.6070.7260.8180.8871.000
2023-12-16T15:01:13.539721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도시설유형지정 공간평일운영시간주말및공휴일운영시간공기청정 설비환기시설 설비관리부서전화번호
위도1.000-0.2620.5160.8870.0000.0000.0000.0000.9280.863
경도-0.2621.0000.0000.0000.1830.1750.1280.3540.2820.283
시설유형0.5160.0001.0000.8540.6070.7260.3780.8180.9540.887
지정 공간0.8870.0000.8541.0000.5420.7470.6210.6800.6920.800
평일운영시간0.0000.1830.6070.5421.0000.6970.4090.5090.7950.714
주말및공휴일운영시간0.0000.1750.7260.7470.6971.0000.5160.7400.8710.887
공기청정 설비0.0000.1280.3780.6210.4090.5161.0000.2090.5040.795
환기시설 설비0.0000.3540.8180.6800.5090.7400.2091.0000.8920.823
관리부서0.9280.2820.9540.6920.7950.8710.5040.8921.0000.930
전화번호0.8630.2830.8870.8000.7140.8870.7950.8230.9301.000

Missing values

2023-12-16T15:00:41.751883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T15:00:42.888699image/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

시설유형쉼터명소재지도로명주소소재지지번주소설치연월지정 공간시설면적수용규모평일운영시간주말및공휴일운영시간공기청정 설비환기시설 설비위도경도관리부서전화번호데이터기준일자
0어르신돌봄과SK청솔노인복지관경기도 수원시 장안구 장안로 174정자동 293-22020-01B동 2층 엘림(휴게실)3583.8412009:00~18:00미운영Y(공기청정기 1대)Y37.299011126.997483어르신돌봄과031-228-30922023-11-20
1어르신돌봄과버드내노인복지관경기도 수원시 권선구 권선로564번길 36세류동 4832020-012층~3층 로비7114.8920009:00~18:00미운영Y(공기청정기 5대)Y37.2611127.012029어르신돌봄과031-228-30922023-11-20
2어르신돌봄과팔달노인복지관경기도 수원시 팔달구 수원천로 343북수동 274-72020-011층로비, 장기바둑실4887.7950009:00~18:00미운영Y(공기청정기 2대)Y37.283989127.017409어르신돌봄과031-228-30922023-11-20
3어르신돌봄과광교노인복지관경기도 수원시 영통구 센트럴타운로 22이의동 1328-12020-01지하1층 아가페4700.5270009:00~18:00미운영Y(공기청정기 1대)Y37.289514127.05702어르신돌봄과031-228-30922023-11-20
4도서관북수원도서관경기도 수원시 장안구 만석로 65정자동 869-12020-01시설전체448080007:00~23:0007:00~23:00Y(공기청정기 11대)Y37.298886126.98967북수원도서관031-228-47742023-11-20
5도서관대추골도서관경기도 수원시 장안구 수일로 164조원동 198-142020-011층 로비, 1~3층 자료실269250007:00~23:0007:00~21:00Y(공기청정기 14대)Y37.30663127.00809북수원도서관031-228-48192023-11-20
6도서관일월도서관경기도 수원시 장안구 일월천로 77천천동 453-12020-01시설전체390563507:00~23:0007:00~21:00Y(공기청정기 15대)Y37.28641126.97686북수원도서관031-228-36562023-11-20
7도서관호매실도서관경기도 수원시 권선구 칠보로 169호매실동 13692020-01시설전체493061609:00~21:0009:00~18:00Y(공기청정기 10대)Y37.26672126.95806호매실도서관031-228-47982023-11-20
8도서관서수원도서관경기도 수원시 권선구 탑동로57번길 35탑동 746-12020-011층(로비, 어린이자료실)458773009:00~21:0009:00~18:00Y(공기청정기 4대)Y37.27319126.97131호매실도서관031-228-48082023-11-20
9도서관한림도서관경기도 수원시 권선구 동수원로25번길 32-52권선동 1355-42020-011층(아기둥지방, 어린이자료실, 한림홀)241745309:00~21:0009:00~18:00Y(공기청정기 4대)Y37.23763127.02493호매실도서관031-228-48612023-11-20
시설유형쉼터명소재지도로명주소소재지지번주소설치연월지정 공간시설면적수용규모평일운영시간주말및공휴일운영시간공기청정 설비환기시설 설비위도경도관리부서전화번호데이터기준일자
86경로당매탄공원경로당경기도 수원시 영통구 매탄로 185매탄동 8112021-06시설전체184.545113:00~17:00미운영Y(공기청정기 2대)Y37.269888127.046212영통구 사회복지과031-228-88672023-11-20
87경로당원천먼내경로당경기도 수원시 영통구 동탄원천로1115번길 22원천동 209-212021-06시설전체1153210:00~17:00미운영Y(공기청정기 2대)Y37.272474127.058777영통구 사회복지과031-228-88672023-11-20
88경로당매원경로당경기도 수원시 영통구 신원로276번길 36원천동 3692021-06시설전체44.313310:00~17:00미운영Y(공기청정기 2대)Y37.263075127.063478영통구 사회복지과031-228-88672023-11-20
89경로당광교카페거리경로당경기도 수원시 영통구 센트럴파크로127번길 100이의동 1321-42021-06시설전체115.2213:00~17:00미운영Y(공기청정기 2대)Y37.293619127.052731영통구 사회복지과031-228-88672023-11-20
90경로당광교대학로경로당경기도 수원시 영통구 대학4로 23이의동 1259-42021-06시설전체115.243213:00~17:00미운영Y(공기청정기 2대)Y37.299425127.04666영통구 사회복지과031-228-88672023-11-20
91행정복지센터광교2동행정복지센터경기도 수원시 영통구 법조로149번길 155하동 9762021-064층 대강당53.8651509:00~18:00미운영Y(공기청정기 2대)Y37.29229127.07008광교2등031-228-84682023-11-20
92경로당영통동경로당경기도 수원시 영통구 매영로 421-7영통동 10172021-06시설전체196.924713:00~17:00미운영Y(공기청정기 2대)Y37.251863127.078206영통구 사회복지과031-228-88672023-11-20
93경로당신성경로당경기도 수원시 영통구 청명로59번길 7-16영통동 10312021-06시설전체192.992013:00~17:00미운영Y(공기청정기 1대)Y37.254512127.080819영통구 사회복지과031-228-88672023-11-20
94경로당우문경로당경기도 수원시 영통구 영통로90번길 55망포동 524-82021-06시설전체117.163009:00~17:00미운영Y(공기청정기 2대)Y37.242172127.059355영통구 사회복지과031-228-88672023-11-20
95행정복지센터망포2동행정복지센터경기도 수원시 영통구 태장로54번길 10망포동 234-432021-063층소회의실17911009:00~18:00미운영Y(공기청정기 1대)Y32.23893127.0516망포2동031-228-87802023-11-20