Overview

Dataset statistics

Number of variables17
Number of observations201
Missing cells144
Missing cells (%)4.2%
Duplicate rows11
Duplicate rows (%)5.5%
Total size in memory27.0 KiB
Average record size in memory137.7 B

Variable types

Text6
Categorical9
Boolean2

Dataset

Description충청남도 전동휠체어급속충전기 정보로 시설명, 시도명, 시군구명, 소재지도로주소, 설치장소, 운영시간, 관리기관명 등의 데이터 제공
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=30&beforeMenuCd=DOM_000000201001001000&publicdatapk=15118747

Alerts

시도명 has constant value ""Constant
Dataset has 11 (5.5%) duplicate rowsDuplicates
공휴일운영시작시각 is highly overall correlated with 시군구명 and 5 other fieldsHigh correlation
공휴일운영종료시각 is highly overall correlated with 시군구명 and 5 other fieldsHigh correlation
토요일운영종료시각 is highly overall correlated with 평일운영시작시각 and 4 other fieldsHigh correlation
토요일운영시작시각 is highly overall correlated with 평일운영시작시각 and 4 other fieldsHigh correlation
시군구명 is highly overall correlated with 공휴일운영시작시각 and 4 other fieldsHigh correlation
평일운영시작시각 is highly overall correlated with 평일운영종료시각 and 4 other fieldsHigh correlation
평일운영종료시각 is highly overall correlated with 평일운영시작시각 and 4 other fieldsHigh correlation
동시사용가능대수 is highly overall correlated with 시군구명 and 2 other fieldsHigh correlation
공기주입가능여부 is highly overall correlated with 시군구명 and 1 other fieldsHigh correlation
휴대전화충전가능여부 is highly overall correlated with 시군구명 and 1 other fieldsHigh correlation
평일운영시작시각 is highly imbalanced (65.8%)Imbalance
평일운영종료시각 is highly imbalanced (63.7%)Imbalance
소재지지번주소 has 144 (71.6%) missing valuesMissing

Reproduction

Analysis started2024-01-09 22:16:22.693242
Analysis finished2024-01-09 22:16:23.991137
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

Distinct147
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-01-10T07:16:24.120408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length8.3432836
Min length3

Characters and Unicode

Total characters1677
Distinct characters160
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)46.3%

Sample

1st row충청남도 공주시 종합사회복지관
2nd row충청남도 공주시 장애인종합복지관
3rd row공주역
4th row신풍면사무소
5th row사곡면사무소
ValueCountFrequency (%)
충청남도 13
 
5.6%
공주시 4
 
1.7%
종합사회복지관 4
 
1.7%
아산시 4
 
1.7%
노인종합복지관 3
 
1.3%
지체장애인협회 2
 
0.9%
양화면행정복지센터 2
 
0.9%
상월면사무소 2
 
0.9%
은진면사무소 2
 
0.9%
연무체육공원 2
 
0.9%
Other values (140) 194
83.6%
2024-01-10T07:16:24.419554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 102
 
6.1%
복 83
 
4.9%
터 77
 
4.6%
센 76
 
4.5%
면 75
 
4.5%
정 57
 
3.4%
행 56
 
3.3%
사 52
 
3.1%
소 49
 
2.9%
무 46
 
2.7%
Other values (150) 1004
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1637
97.6%
Space Separator 31
 
1.8%
Decimal Number 7
 
0.4%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 102
 
6.2%
복 83
 
5.1%
터 77
 
4.7%
센 76
 
4.6%
면 75
 
4.6%
정 57
 
3.5%
행 56
 
3.4%
사 52
 
3.2%
소 49
 
3.0%
무 46
 
2.8%
Other values (141) 964
58.9%
Decimal Number
ValueCountFrequency (%)
6 2
28.6%
5 1
14.3%
1 1
14.3%
2 1
14.3%
4 1
14.3%
3 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
H 1
50.0%
Space Separator
ValueCountFrequency (%)
31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1637
97.6%
Common 38
 
2.3%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 102
 
6.2%
복 83
 
5.1%
터 77
 
4.7%
센 76
 
4.6%
면 75
 
4.6%
정 57
 
3.5%
행 56
 
3.4%
사 52
 
3.2%
소 49
 
3.0%
무 46
 
2.8%
Other values (141) 964
58.9%
Common
ValueCountFrequency (%)
31
81.6%
6 2
 
5.3%
5 1
 
2.6%
1 1
 
2.6%
2 1
 
2.6%
4 1
 
2.6%
3 1
 
2.6%
Latin
ValueCountFrequency (%)
L 1
50.0%
H 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1637
97.6%
ASCII 40
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 102
 
6.2%
복 83
 
5.1%
터 77
 
4.7%
센 76
 
4.6%
면 75
 
4.6%
정 57
 
3.5%
행 56
 
3.4%
사 52
 
3.2%
소 49
 
3.0%
무 46
 
2.8%
Other values (141) 964
58.9%
ASCII
ValueCountFrequency (%)
31
77.5%
6 2
 
5.0%
5 1
 
2.5%
1 1
 
2.5%
L 1
 
2.5%
H 1
 
2.5%
2 1
 
2.5%
4 1
 
2.5%
3 1
 
2.5%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
충청남도
201 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충청남도 201
100.0%

Length

2024-01-10T07:16:24.519499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:16:24.591942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 201
100.0%

시군구명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
부여군
32 
태안군
28 
논산시
25 
예산군
23 
공주시
20 
Other values (9)
73 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부여군 32
15.9%
태안군 28
13.9%
논산시 25
12.4%
예산군 23
11.4%
공주시 20
10.0%
아산시 18
9.0%
보령시 11
 
5.5%
서산시 8
 
4.0%
청양군 8
 
4.0%
금산군 7
 
3.5%
Other values (4) 21
10.4%

Length

2024-01-10T07:16:24.663333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부여군 32
15.9%
태안군 28
13.9%
논산시 25
12.4%
예산군 23
11.4%
공주시 20
10.0%
아산시 18
9.0%
보령시 11
 
5.5%
서산시 8
 
4.0%
청양군 8
 
4.0%
금산군 7
 
3.5%
Other values (4) 21
10.4%

소재지도로명주소
Text

Distinct143
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-01-10T07:16:24.913822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length19.960199
Min length14

Characters and Unicode

Total characters4012
Distinct characters177
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)42.8%

Sample

1st row충청남도 공주시 의당면 의당로 257
2nd row충청남도 공주시 의당로 23
3rd row충청남도 공주시 이인면 새빛로 100
4th row충청남도 공주시 신풍면 안뜸길 14
5th row충청남도 공주시 사곡면 마곡사로 103
ValueCountFrequency (%)
충청남도 201
 
20.8%
부여군 32
 
3.3%
태안군 28
 
2.9%
논산시 25
 
2.6%
예산군 23
 
2.4%
공주시 20
 
2.1%
아산시 18
 
1.9%
태안읍 14
 
1.5%
보령시 11
 
1.1%
청양군 8
 
0.8%
Other values (316) 585
60.6%
2024-01-10T07:16:25.298511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
764
19.0%
청 227
 
5.7%
남 222
 
5.5%
충 212
 
5.3%
도 205
 
5.1%
로 170
 
4.2%
산 124
 
3.1%
1 118
 
2.9%
군 112
 
2.8%
시 102
 
2.5%
Other values (167) 1756
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2615
65.2%
Space Separator 764
 
19.0%
Decimal Number 609
 
15.2%
Dash Punctuation 20
 
0.5%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 227
 
8.7%
남 222
 
8.5%
충 212
 
8.1%
도 205
 
7.8%
로 170
 
6.5%
산 124
 
4.7%
군 112
 
4.3%
시 102
 
3.9%
면 97
 
3.7%
길 64
 
2.4%
Other values (153) 1080
41.3%
Decimal Number
ValueCountFrequency (%)
1 118
19.4%
2 86
14.1%
3 78
12.8%
4 60
9.9%
6 53
8.7%
7 47
 
7.7%
9 47
 
7.7%
5 42
 
6.9%
8 39
 
6.4%
0 39
 
6.4%
Space Separator
ValueCountFrequency (%)
764
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2615
65.2%
Common 1397
34.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 227
 
8.7%
남 222
 
8.5%
충 212
 
8.1%
도 205
 
7.8%
로 170
 
6.5%
산 124
 
4.7%
군 112
 
4.3%
시 102
 
3.9%
면 97
 
3.7%
길 64
 
2.4%
Other values (153) 1080
41.3%
Common
ValueCountFrequency (%)
764
54.7%
1 118
 
8.4%
2 86
 
6.2%
3 78
 
5.6%
4 60
 
4.3%
6 53
 
3.8%
7 47
 
3.4%
9 47
 
3.4%
5 42
 
3.0%
8 39
 
2.8%
Other values (4) 63
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2615
65.2%
ASCII 1397
34.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
764
54.7%
1 118
 
8.4%
2 86
 
6.2%
3 78
 
5.6%
4 60
 
4.3%
6 53
 
3.8%
7 47
 
3.4%
9 47
 
3.4%
5 42
 
3.0%
8 39
 
2.8%
Other values (4) 63
 
4.5%
Hangul
ValueCountFrequency (%)
청 227
 
8.7%
남 222
 
8.5%
충 212
 
8.1%
도 205
 
7.8%
로 170
 
6.5%
산 124
 
4.7%
군 112
 
4.3%
시 102
 
3.9%
면 97
 
3.7%
길 64
 
2.4%
Other values (153) 1080
41.3%

소재지지번주소
Text

MISSING 

Distinct53
Distinct (%)93.0%
Missing144
Missing (%)71.6%
Memory size1.7 KiB
2024-01-10T07:16:25.543653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length20.491228
Min length17

Characters and Unicode

Total characters1168
Distinct characters92
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

Unique49 ?
Unique (%)86.0%

Sample

1st row충청남도 부여군 외산면 만수리 15-2
2nd row충청남도 부여군 충화면 천당리 194
3rd row충청남도 부여군 홍산면 북촌리 118-7
4th row충청남도 부여군 임천면 군사리 314-17
5th row충청남도 부여군 부여읍 동남리 693
ValueCountFrequency (%)
충청남도 57
20.8%
부여군 25
 
9.1%
예산군 12
 
4.4%
아산시 12
 
4.4%
부여읍 6
 
2.2%
규암면 5
 
1.8%
홍성읍 4
 
1.5%
홍성군 4
 
1.5%
청양군 4
 
1.5%
온천동 4
 
1.5%
Other values (121) 141
51.5%
2024-01-10T07:16:25.895595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
217
18.6%
청 67
 
5.7%
남 63
 
5.4%
충 59
 
5.1%
도 58
 
5.0%
군 46
 
3.9%
리 43
 
3.7%
1 40
 
3.4%
- 36
 
3.1%
산 36
 
3.1%
Other values (82) 503
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 706
60.4%
Space Separator 217
 
18.6%
Decimal Number 209
 
17.9%
Dash Punctuation 36
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 67
 
9.5%
남 63
 
8.9%
충 59
 
8.4%
도 58
 
8.2%
군 46
 
6.5%
리 43
 
6.1%
산 36
 
5.1%
부 31
 
4.4%
여 31
 
4.4%
면 28
 
4.0%
Other values (70) 244
34.6%
Decimal Number
ValueCountFrequency (%)
1 40
19.1%
2 27
12.9%
3 26
12.4%
6 24
11.5%
4 24
11.5%
8 20
9.6%
5 16
 
7.7%
9 13
 
6.2%
7 12
 
5.7%
0 7
 
3.3%
Space Separator
ValueCountFrequency (%)
217
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 706
60.4%
Common 462
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 67
 
9.5%
남 63
 
8.9%
충 59
 
8.4%
도 58
 
8.2%
군 46
 
6.5%
리 43
 
6.1%
산 36
 
5.1%
부 31
 
4.4%
여 31
 
4.4%
면 28
 
4.0%
Other values (70) 244
34.6%
Common
ValueCountFrequency (%)
217
47.0%
1 40
 
8.7%
- 36
 
7.8%
2 27
 
5.8%
3 26
 
5.6%
6 24
 
5.2%
4 24
 
5.2%
8 20
 
4.3%
5 16
 
3.5%
9 13
 
2.8%
Other values (2) 19
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 706
60.4%
ASCII 462
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217
47.0%
1 40
 
8.7%
- 36
 
7.8%
2 27
 
5.8%
3 26
 
5.6%
6 24
 
5.2%
4 24
 
5.2%
8 20
 
4.3%
5 16
 
3.5%
9 13
 
2.8%
Other values (2) 19
 
4.1%
Hangul
ValueCountFrequency (%)
청 67
 
9.5%
남 63
 
8.9%
충 59
 
8.4%
도 58
 
8.2%
군 46
 
6.5%
리 43
 
6.1%
산 36
 
5.1%
부 31
 
4.4%
여 31
 
4.4%
면 28
 
4.0%
Other values (70) 244
34.6%

설치장소설명
Text

Distinct107
Distinct (%)53.2%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-01-10T07:16:26.128234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length7.358209
Min length2

Characters and Unicode

Total characters1479
Distinct characters155
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

Unique94 ?
Unique (%)46.8%

Sample

1st row1층 현관
2nd row1층 현관
3rd row1층 대합실
4th row1층
5th row1층
ValueCountFrequency (%)
1층 103
26.1%
현관 56
14.2%
입구 25
 
6.3%
민원실 21
 
5.3%
출입구 13
 
3.3%
근처 11
 
2.8%
앞 9
 
2.3%
로비 8
 
2.0%
옆 5
 
1.3%
센터 4
 
1.0%
Other values (113) 139
35.3%
2024-01-10T07:16:26.488283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
193
 
13.0%
층 111
 
7.5%
1 108
 
7.3%
관 69
 
4.7%
현 60
 
4.1%
구 43
 
2.9%
입 41
 
2.8%
실 39
 
2.6%
터 36
 
2.4%
센 35
 
2.4%
Other values (145) 744
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1143
77.3%
Space Separator 193
 
13.0%
Decimal Number 115
 
7.8%
Close Punctuation 14
 
0.9%
Open Punctuation 14
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 111
 
9.7%
관 69
 
6.0%
현 60
 
5.2%
구 43
 
3.8%
입 41
 
3.6%
실 39
 
3.4%
터 36
 
3.1%
센 35
 
3.1%
원 34
 
3.0%
지 33
 
2.9%
Other values (138) 642
56.2%
Decimal Number
ValueCountFrequency (%)
1 108
93.9%
2 5
 
4.3%
4 1
 
0.9%
0 1
 
0.9%
Space Separator
ValueCountFrequency (%)
193
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1143
77.3%
Common 336
 
22.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 111
 
9.7%
관 69
 
6.0%
현 60
 
5.2%
구 43
 
3.8%
입 41
 
3.6%
실 39
 
3.4%
터 36
 
3.1%
센 35
 
3.1%
원 34
 
3.0%
지 33
 
2.9%
Other values (138) 642
56.2%
Common
ValueCountFrequency (%)
193
57.4%
1 108
32.1%
) 14
 
4.2%
( 14
 
4.2%
2 5
 
1.5%
4 1
 
0.3%
0 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1143
77.3%
ASCII 336
 
22.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
193
57.4%
1 108
32.1%
) 14
 
4.2%
( 14
 
4.2%
2 5
 
1.5%
4 1
 
0.3%
0 1
 
0.3%
Hangul
ValueCountFrequency (%)
층 111
 
9.7%
관 69
 
6.0%
현 60
 
5.2%
구 43
 
3.8%
입 41
 
3.6%
실 39
 
3.4%
터 36
 
3.1%
센 35
 
3.1%
원 34
 
3.0%
지 33
 
2.9%
Other values (138) 642
56.2%

평일운영시작시각
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
9:00
173 
0:00
24 
7:30
 
2
5:30
 
2

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7:30
2nd row9:00
3rd row5:30
4th row9:00
5th row9:00

Common Values

ValueCountFrequency (%)
9:00 173
86.1%
0:00 24
 
11.9%
7:30 2
 
1.0%
5:30 2
 
1.0%

Length

2024-01-10T07:16:26.590766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:16:26.669296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9:00 173
86.1%
0:00 24
 
11.9%
7:30 2
 
1.0%
5:30 2
 
1.0%

평일운영종료시각
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
18:00
162 
0:00
25 
21:00
 
8
23:30
 
2
22:00
 
2
Other values (2)
 
2

Length

Max length5
Median length5
Mean length4.8756219
Min length4

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row21:00
2nd row18:00
3rd row23:30
4th row18:00
5th row18:00

Common Values

ValueCountFrequency (%)
18:00 162
80.6%
0:00 25
 
12.4%
21:00 8
 
4.0%
23:30 2
 
1.0%
22:00 2
 
1.0%
23:59 1
 
0.5%
23:00 1
 
0.5%

Length

2024-01-10T07:16:26.756555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:16:26.850590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18:00 162
80.6%
0:00 25
 
12.4%
21:00 8
 
4.0%
23:30 2
 
1.0%
22:00 2
 
1.0%
23:59 1
 
0.5%
23:00 1
 
0.5%

토요일운영시작시각
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0:00
118 
9:00
67 
23:59
12 
8:30
 
2
5:30
 
2

Length

Max length5
Median length4
Mean length4.0597015
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row8:30
2nd row0:00
3rd row5:30
4th row0:00
5th row0:00

Common Values

ValueCountFrequency (%)
0:00 118
58.7%
9:00 67
33.3%
23:59 12
 
6.0%
8:30 2
 
1.0%
5:30 2
 
1.0%

Length

2024-01-10T07:16:26.953272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:16:27.039113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0:00 118
58.7%
9:00 67
33.3%
23:59 12
 
6.0%
8:30 2
 
1.0%
5:30 2
 
1.0%

토요일운영종료시각
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0:00
118 
18:00
52 
23:59
13 
12:00
12 
23:30
 
2
Other values (3)
 
4

Length

Max length5
Median length4
Mean length4.4129353
Min length4

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row18:00
2nd row0:00
3rd row23:30
4th row0:00
5th row0:00

Common Values

ValueCountFrequency (%)
0:00 118
58.7%
18:00 52
25.9%
23:59 13
 
6.5%
12:00 12
 
6.0%
23:30 2
 
1.0%
22:00 2
 
1.0%
23:00 1
 
0.5%
17:00 1
 
0.5%

Length

2024-01-10T07:16:27.129850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:16:27.220669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0:00 118
58.7%
18:00 52
25.9%
23:59 13
 
6.5%
12:00 12
 
6.0%
23:30 2
 
1.0%
22:00 2
 
1.0%
23:00 1
 
0.5%
17:00 1
 
0.5%

공휴일운영시작시각
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0:00
120 
9:00
64 
23:59
13 
8:30
 
2
5:30
 
2

Length

Max length5
Median length4
Mean length4.0646766
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row8:30
2nd row0:00
3rd row5:30
4th row0:00
5th row0:00

Common Values

ValueCountFrequency (%)
0:00 120
59.7%
9:00 64
31.8%
23:59 13
 
6.5%
8:30 2
 
1.0%
5:30 2
 
1.0%

Length

2024-01-10T07:16:27.318892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:16:27.402700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0:00 120
59.7%
9:00 64
31.8%
23:59 13
 
6.5%
8:30 2
 
1.0%
5:30 2
 
1.0%

공휴일운영종료시각
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0:00
120 
18:00
53 
23:59
14 
12:00
 
12
23:30
 
2

Length

Max length5
Median length4
Mean length4.4029851
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row18:00
2nd row0:00
3rd row23:30
4th row0:00
5th row0:00

Common Values

ValueCountFrequency (%)
0:00 120
59.7%
18:00 53
26.4%
23:59 14
 
7.0%
12:00 12
 
6.0%
23:30 2
 
1.0%

Length

2024-01-10T07:16:27.493913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:16:27.580294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0:00 120
59.7%
18:00 53
26.4%
23:59 14
 
7.0%
12:00 12
 
6.0%
23:30 2
 
1.0%

동시사용가능대수
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2
142 
1
51 
0
 
7
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
2 142
70.6%
1 51
 
25.4%
0 7
 
3.5%
4 1
 
0.5%

Length

2024-01-10T07:16:27.669739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:16:27.746924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 142
70.6%
1 51
 
25.4%
0 7
 
3.5%
4 1
 
0.5%

공기주입가능여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size333.0 B
True
139 
False
62 
ValueCountFrequency (%)
True 139
69.2%
False 62
30.8%
2024-01-10T07:16:27.821690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

휴대전화충전가능여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size333.0 B
True
125 
False
76 
ValueCountFrequency (%)
True 125
62.2%
False 76
37.8%
2024-01-10T07:16:27.913883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

관리기관명
Text

Distinct53
Distinct (%)26.4%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-01-10T07:16:28.090508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length3
Mean length5.3084577
Min length3

Characters and Unicode

Total characters1067
Distinct characters87
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)16.9%

Sample

1st row공주시
2nd row공주시
3rd row공주시
4th row공주시
5th row공주시
ValueCountFrequency (%)
충청남도 37
14.5%
논산시 25
 
9.8%
예산군 23
 
9.0%
공주시 20
 
7.8%
아산시 18
 
7.1%
태안군 14
 
5.5%
복지증진과 14
 
5.5%
태안군청 14
 
5.5%
보령시 11
 
4.3%
서산시 8
 
3.1%
Other values (44) 71
27.8%
2024-01-10T07:16:28.567998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 94
 
8.8%
산 82
 
7.7%
군 76
 
7.1%
청 64
 
6.0%
54
 
5.1%
남 43
 
4.0%
충 41
 
3.8%
도 38
 
3.6%
지 37
 
3.5%
안 34
 
3.2%
Other values (77) 504
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1011
94.8%
Space Separator 54
 
5.1%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 94
 
9.3%
산 82
 
8.1%
군 76
 
7.5%
청 64
 
6.3%
남 43
 
4.3%
충 41
 
4.1%
도 38
 
3.8%
지 37
 
3.7%
안 34
 
3.4%
복 32
 
3.2%
Other values (74) 470
46.5%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
H 1
50.0%
Space Separator
ValueCountFrequency (%)
54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1011
94.8%
Common 54
 
5.1%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 94
 
9.3%
산 82
 
8.1%
군 76
 
7.5%
청 64
 
6.3%
남 43
 
4.3%
충 41
 
4.1%
도 38
 
3.8%
지 37
 
3.7%
안 34
 
3.4%
복 32
 
3.2%
Other values (74) 470
46.5%
Latin
ValueCountFrequency (%)
L 1
50.0%
H 1
50.0%
Common
ValueCountFrequency (%)
54
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1011
94.8%
ASCII 56
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 94
 
9.3%
산 82
 
8.1%
군 76
 
7.5%
청 64
 
6.3%
남 43
 
4.3%
충 41
 
4.1%
도 38
 
3.8%
지 37
 
3.7%
안 34
 
3.4%
복 32
 
3.2%
Other values (74) 470
46.5%
ASCII
ValueCountFrequency (%)
54
96.4%
L 1
 
1.8%
H 1
 
1.8%

관리기관전화번호
Text

Distinct72
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-01-10T07:16:28.778790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.004975
Min length12

Characters and Unicode

Total characters2413
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

Unique46 ?
Unique (%)22.9%

Sample

1st row041-840-8159
2nd row041-840-8159
3rd row041-840-8159
4th row041-840-8159
5th row041-840-8159
ValueCountFrequency (%)
041-670-2776 28
 
13.9%
041-746-5365 25
 
12.4%
041-840-8159 20
 
10.0%
041-540-2680 18
 
9.0%
041-930-3637 11
 
5.5%
041-521-5387 6
 
3.0%
042-840-2334 6
 
3.0%
041-830-2097 5
 
2.5%
041-339-8114 2
 
1.0%
041-634-0267 2
 
1.0%
Other values (62) 78
38.8%
2024-01-10T07:16:29.085112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 402
16.7%
0 391
16.2%
4 318
13.2%
1 259
10.7%
6 212
8.8%
3 187
7.7%
7 160
 
6.6%
5 147
 
6.1%
8 142
 
5.9%
2 110
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2011
83.3%
Dash Punctuation 402
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 391
19.4%
4 318
15.8%
1 259
12.9%
6 212
10.5%
3 187
9.3%
7 160
8.0%
5 147
 
7.3%
8 142
 
7.1%
2 110
 
5.5%
9 85
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 402
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2413
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 402
16.7%
0 391
16.2%
4 318
13.2%
1 259
10.7%
6 212
8.8%
3 187
7.7%
7 160
 
6.6%
5 147
 
6.1%
8 142
 
5.9%
2 110
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2413
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 402
16.7%
0 391
16.2%
4 318
13.2%
1 259
10.7%
6 212
8.8%
3 187
7.7%
7 160
 
6.6%
5 147
 
6.1%
8 142
 
5.9%
2 110
 
4.6%

Correlations

2024-01-10T07:16:29.198098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명소재지지번주소평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각동시사용가능대수공기주입가능여부휴대전화충전가능여부관리기관명관리기관전화번호
시군구명1.0001.0000.6090.7760.7390.7110.7500.7980.8750.9740.8111.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.9920.996
평일운영시작시각0.6091.0001.0000.8960.8520.8960.8520.6670.3650.3340.3070.5650.000
평일운영종료시각0.7761.0000.8961.0000.7210.8810.7200.6950.6070.1930.1690.8490.000
토요일운영시작시각0.7391.0000.8520.7211.0000.9111.0000.9870.1620.2430.2890.8180.000
토요일운영종료시각0.7111.0000.8960.8810.9111.0000.9040.9840.1480.4550.4460.8120.000
공휴일운영시작시각0.7501.0000.8520.7201.0000.9041.0000.9900.1720.2450.3010.8360.000
공휴일운영종료시각0.7981.0000.6670.6950.9870.9840.9901.0000.1590.2720.2900.9420.811
동시사용가능대수0.8751.0000.3650.6070.1620.1480.1720.1591.0000.7790.8300.9890.901
공기주입가능여부0.9741.0000.3340.1930.2430.4550.2450.2720.7791.0000.6660.9730.994
휴대전화충전가능여부0.8111.0000.3070.1690.2890.4460.3010.2900.8300.6661.0000.9260.817
관리기관명1.0000.9920.5650.8490.8180.8120.8360.9420.9890.9730.9261.0000.997
관리기관전화번호1.0000.9960.0000.0000.0000.0000.0000.8110.9010.9940.8170.9971.000
2024-01-10T07:16:29.323708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
평일운영종료시각휴대전화충전가능여부공휴일운영시작시각동시사용가능대수시군구명공휴일운영종료시각토요일운영종료시각토요일운영시작시각평일운영시작시각공기주입가능여부
평일운영종료시각1.0000.1790.5690.4620.3970.5400.7210.5710.8440.203
휴대전화충전가능여부0.1791.0000.3640.6210.6390.3510.3300.3510.2040.464
공휴일운영시작시각0.5690.3641.0000.1410.5020.8510.8290.9820.8290.297
동시사용가능대수0.4620.6210.1411.0000.6950.1290.0650.1320.1490.567
시군구명0.3970.6390.5020.6951.0000.5620.4060.4900.3820.838
공휴일운영종료시각0.5400.3510.8510.1290.5621.0000.9810.8320.5980.330
토요일운영종료시각0.7210.3300.8290.0650.4060.9811.0000.8420.5860.337
토요일운영시작시각0.5710.3510.9820.1320.4900.8320.8421.0000.8290.294
평일운영시작시각0.8440.2040.8290.1490.3820.5980.5860.8291.0000.221
공기주입가능여부0.2030.4640.2970.5670.8380.3300.3370.2940.2211.000
2024-01-10T07:16:29.426849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각동시사용가능대수공기주입가능여부휴대전화충전가능여부
시군구명1.0000.3820.3970.4900.4060.5020.5620.6950.8380.639
평일운영시작시각0.3821.0000.8440.8290.5860.8290.5980.1490.2210.204
평일운영종료시각0.3970.8441.0000.5710.7210.5690.5400.4620.2030.179
토요일운영시작시각0.4900.8290.5711.0000.8420.9820.8320.1320.2940.351
토요일운영종료시각0.4060.5860.7210.8421.0000.8290.9810.0650.3370.330
공휴일운영시작시각0.5020.8290.5690.9820.8291.0000.8510.1410.2970.364
공휴일운영종료시각0.5620.5980.5400.8320.9810.8511.0000.1290.3300.351
동시사용가능대수0.6950.1490.4620.1320.0650.1410.1291.0000.5670.621
공기주입가능여부0.8380.2210.2030.2940.3370.2970.3300.5671.0000.464
휴대전화충전가능여부0.6390.2040.1790.3510.3300.3640.3510.6210.4641.000

Missing values

2024-01-10T07:16:23.748683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:16:23.925865image/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

시설명시도명시군구명소재지도로명주소소재지지번주소설치장소설명평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각동시사용가능대수공기주입가능여부휴대전화충전가능여부관리기관명관리기관전화번호
0충청남도 공주시 종합사회복지관충청남도공주시충청남도 공주시 의당면 의당로 257<NA>1층 현관7:3021:008:3018:008:3018:001NN공주시041-840-8159
1충청남도 공주시 장애인종합복지관충청남도공주시충청남도 공주시 의당로 23<NA>1층 현관9:0018:000:000:000:000:001NN공주시041-840-8159
2공주역충청남도공주시충청남도 공주시 이인면 새빛로 100<NA>1층 대합실5:3023:305:3023:305:3023:301NN공주시041-840-8159
3신풍면사무소충청남도공주시충청남도 공주시 신풍면 안뜸길 14<NA>1층9:0018:000:000:000:000:001NN공주시041-840-8159
4사곡면사무소충청남도공주시충청남도 공주시 사곡면 마곡사로 103<NA>1층9:0018:000:000:000:000:001NN공주시041-840-8159
5고마센터충청남도공주시충청남도 공주시 고마나루길 90<NA>2층 입구9:0018:000:000:000:000:001NN공주시041-840-8159
6탄천면사무소충청남도공주시충청남도 공주시 탄천면 통산로 165<NA>1층9:0018:000:000:000:000:001NN공주시041-840-8159
7충청남도 공주시청충청남도공주시충청남도 공주시 봉황로 1<NA>1층 현관1층별관9:0018:000:000:000:000:002NN공주시041-840-8159
8공주노인회관충청남도공주시충청남도 공주시 당간지주길 7<NA>1층9:0018:000:000:000:000:001NN공주시041-840-8159
9백제체육관충청남도공주시충청남도 공주시 고마나루길 51-14<NA>1층 현관9:0018:000:000:000:000:001NN공주시041-840-8159
시설명시도명시군구명소재지도로명주소소재지지번주소설치장소설명평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각동시사용가능대수공기주입가능여부휴대전화충전가능여부관리기관명관리기관전화번호
191예산읍행정복지센터충청남도예산군충청남도 예산군 예산읍 예산로176번길 15충청남도 예산군 예산읍 예산리 429-1예산군(예산읍행정복지센터)9:0018:000:000:000:000:002YY충청남도 예산군041-339-8424
192삽교읍행정복지센터충청남도예산군충청남도 예산군 삽교읍 두리3길 33충청남도 예산군 삽교읍 두리 571-1예산군(삽교읍행정복지센터)9:0018:000:000:000:000:002YY충청남도 예산군041-339-8493
193삽교읍주민복합지원센터충청남도예산군충청남도 예산군 삽교읍 예학로 65충청남도 예산군 삽교읍 목리 889예산군(주민복합지원센터)9:0018:000:000:000:000:002YY충청남도 예산군041-339-8506
194신양면행정복지센터충청남도예산군충청남도 예산군 신양면 청신로 372충청남도 예산군 신양면 신양리 351-1예산군(신양면행정복지센터)9:0018:000:000:000:000:002YY충청남도 예산군041-339-8574
195광시면행정복지센터충청남도예산군충청남도 예산군 광시면 광시소길 16충청남도 예산군 광시면 광시리 95예산군(광시면행정복지센터)9:0018:000:000:000:000:002YY충청남도 예산군041-339-8614
196대흥면행정복지센터충청남도예산군충청남도 예산군 대흥면 의좋은형제길 37충청남도 예산군 대흥면 동서리 106-1예산군(대흥면행정복지센터)9:0018:000:000:000:000:002YY충청남도 예산군041-339-8653
197덕산면행정복지센터충청남도예산군충청남도 예산군 덕산면 덕산온천로 391충청남도 예산군 덕산면 신평리 344-1예산군(덕산면행정복지센터)9:0018:000:000:000:000:002YY충청남도 예산군041-339-8732
198고덕면행정복지센터충청남도예산군충청남도 예산군 고덕면 고덕중앙로 45-5충청남도 예산군 고덕면 대천리 708-1예산군(고덕면행정복지센터)9:0018:000:000:000:000:002YY충청남도 예산군041-339-8815
199예산군장애인종합복지관충청남도예산군충청남도 예산군 신암면 추사고택로 496충청남도 예산군 신암면 신택리 174-3예산군(장애인종합복지관)9:0018:000:000:000:000:002YY충청남도 예산군041-330-9005
200예산군노인종합복지관충청남도예산군충청남도 예산군 예산읍 벚꽃로 214-11충청남도 예산군 예산읍 석양리 298예산군(노인종합복지관)9:0018:000:000:000:000:002YY충청남도 예산군041-330-2901

Duplicate rows

Most frequently occurring

시설명시도명시군구명소재지도로명주소소재지지번주소설치장소설명평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각동시사용가능대수공기주입가능여부휴대전화충전가능여부관리기관명관리기관전화번호# duplicates
0고마센터충청남도공주시충청남도 공주시 고마나루길 90<NA>2층 입구9:0018:000:000:000:000:001NN공주시041-840-81592
1공주노인회관충청남도공주시충청남도 공주시 당간지주길 7<NA>1층9:0018:000:000:000:000:001NN공주시041-840-81592
2공주역충청남도공주시충청남도 공주시 이인면 새빛로 100<NA>1층 대합실5:3023:305:3023:305:3023:301NN공주시041-840-81592
3백제체육관충청남도공주시충청남도 공주시 고마나루길 51-14<NA>1층 현관9:0018:000:000:000:000:001NN공주시041-840-81592
4사곡면사무소충청남도공주시충청남도 공주시 사곡면 마곡사로 103<NA>1층9:0018:000:000:000:000:001NN공주시041-840-81592
5신풍면사무소충청남도공주시충청남도 공주시 신풍면 안뜸길 14<NA>1층9:0018:000:000:000:000:001NN공주시041-840-81592
6아산시지체장애인협회충청남도아산시충청남도 아산시 번영로 143번길 36충청남도 아산시 권곡동 538-11센터 앞0:000:000:000:000:000:002YY충청남도 아산시041-540-26802
7충청남도 공주시 장애인종합복지관충청남도공주시충청남도 공주시 의당로 23<NA>1층 현관9:0018:000:000:000:000:001NN공주시041-840-81592
8충청남도 공주시 종합사회복지관충청남도공주시충청남도 공주시 의당면 의당로 257<NA>1층 현관7:3021:008:3018:008:3018:001NN공주시041-840-81592
9충청남도 공주시청충청남도공주시충청남도 공주시 봉황로 1<NA>1층 현관1층별관9:0018:000:000:000:000:002NN공주시041-840-81592