Overview

Dataset statistics

Number of variables13
Number of observations259
Missing cells6
Missing cells (%)0.2%
Duplicate rows19
Duplicate rows (%)7.3%
Total size in memory26.4 KiB
Average record size in memory104.5 B

Variable types

Text5
Categorical7
Boolean1

Dataset

Description충청남도 공공시설 개방 정보로 개방시설명, 장소명, 시설유형, 휴관일, 운영시간, 소재지도로명주소, 관리기관, 담당부서명 등의 현황정보입니다.
URLhttps://www.data.go.kr/data/15118667/fileData.do

Alerts

Dataset has 19 (7.3%) duplicate rowsDuplicates
휴관일 is highly overall correlated with 평일운영시작시각 and 3 other fieldsHigh correlation
평일운영시작시각 is highly overall correlated with 휴관일 and 1 other fieldsHigh correlation
평일운영종료시각 is highly overall correlated with 주말운영종료시각 and 1 other fieldsHigh correlation
주말운영시작시각 is highly overall correlated with 휴관일 and 2 other fieldsHigh correlation
주말운영종료시각 is highly overall correlated with 평일운영종료시각 and 1 other fieldsHigh correlation
유료사용여부 is highly overall correlated with 휴관일 and 4 other fieldsHigh correlation
관리기관명 is highly overall correlated with 휴관일 and 1 other fieldsHigh correlation
평일운영시작시각 is highly imbalanced (55.2%)Imbalance
사용안내전화번호 has 4 (1.5%) missing valuesMissing

Reproduction

Analysis started2023-12-12 07:14:50.423852
Analysis finished2023-12-12 07:14:51.917320
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct205
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-12T16:14:52.112609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length10.208494
Min length2

Characters and Unicode

Total characters2644
Distinct characters200
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

Unique179 ?
Unique (%)69.1%

Sample

1st row쌍용도서관 문화사랑방
2nd row중앙도서관 동아리방
3rd row중앙도서관 공연연습실
4th row중앙도서관 문화체험실
5th row축구센터 풋살경기장
ValueCountFrequency (%)
다목적실 32
 
7.5%
회의실 21
 
4.9%
고마 17
 
4.0%
본관2층 11
 
2.6%
헬스장 8
 
1.9%
주민자치센터 7
 
1.6%
3층 6
 
1.4%
다목적경기장 6
 
1.4%
문예회관 6
 
1.4%
2층 6
 
1.4%
Other values (199) 307
71.9%
2023-12-12T16:14:52.625625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
168
 
6.4%
125
 
4.7%
125
 
4.7%
93
 
3.5%
78
 
3.0%
73
 
2.8%
71
 
2.7%
63
 
2.4%
61
 
2.3%
59
 
2.2%
Other values (190) 1728
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2395
90.6%
Space Separator 168
 
6.4%
Decimal Number 69
 
2.6%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
125
 
5.2%
125
 
5.2%
93
 
3.9%
78
 
3.3%
73
 
3.0%
71
 
3.0%
63
 
2.6%
61
 
2.5%
59
 
2.5%
54
 
2.3%
Other values (179) 1593
66.5%
Decimal Number
ValueCountFrequency (%)
2 29
42.0%
1 21
30.4%
3 15
21.7%
4 1
 
1.4%
7 1
 
1.4%
5 1
 
1.4%
6 1
 
1.4%
Space Separator
ValueCountFrequency (%)
168
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2395
90.6%
Common 249
 
9.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
125
 
5.2%
125
 
5.2%
93
 
3.9%
78
 
3.3%
73
 
3.0%
71
 
3.0%
63
 
2.6%
61
 
2.5%
59
 
2.5%
54
 
2.3%
Other values (179) 1593
66.5%
Common
ValueCountFrequency (%)
168
67.5%
2 29
 
11.6%
1 21
 
8.4%
3 15
 
6.0%
) 5
 
2.0%
( 5
 
2.0%
- 2
 
0.8%
4 1
 
0.4%
7 1
 
0.4%
5 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2395
90.6%
ASCII 249
 
9.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
168
67.5%
2 29
 
11.6%
1 21
 
8.4%
3 15
 
6.0%
) 5
 
2.0%
( 5
 
2.0%
- 2
 
0.8%
4 1
 
0.4%
7 1
 
0.4%
5 1
 
0.4%
Hangul
ValueCountFrequency (%)
125
 
5.2%
125
 
5.2%
93
 
3.9%
78
 
3.3%
73
 
3.0%
71
 
3.0%
63
 
2.6%
61
 
2.5%
59
 
2.5%
54
 
2.3%
Other values (179) 1593
66.5%
Distinct161
Distinct (%)62.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-12T16:14:52.945175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length20
Mean length8.1003861
Min length3

Characters and Unicode

Total characters2098
Distinct characters182
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

Unique105 ?
Unique (%)40.5%

Sample

1st row정보교육원
2nd row정보교육원
3rd row정보교육원
4th row정보교육원
5th row축구센터
ValueCountFrequency (%)
축구센터 6
 
1.9%
서천군 6
 
1.9%
충청남도 6
 
1.9%
인지면행정복지센터 5
 
1.6%
정보교육원 5
 
1.6%
문화예술회관 5
 
1.6%
부여군종합운동장 5
 
1.6%
주민자치센터 5
 
1.6%
대공연장 4
 
1.3%
국민체육센터 4
 
1.3%
Other values (169) 261
83.7%
2023-12-12T16:14:53.364882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
 
5.8%
122
 
5.8%
68
 
3.2%
62
 
3.0%
61
 
2.9%
61
 
2.9%
60
 
2.9%
58
 
2.8%
56
 
2.7%
53
 
2.5%
Other values (172) 1375
65.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1968
93.8%
Decimal Number 58
 
2.8%
Space Separator 53
 
2.5%
Close Punctuation 7
 
0.3%
Open Punctuation 7
 
0.3%
Dash Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
122
 
6.2%
122
 
6.2%
68
 
3.5%
62
 
3.2%
61
 
3.1%
61
 
3.1%
60
 
3.0%
58
 
2.9%
56
 
2.8%
52
 
2.6%
Other values (160) 1246
63.3%
Decimal Number
ValueCountFrequency (%)
1 17
29.3%
2 14
24.1%
6 7
12.1%
3 6
 
10.3%
4 6
 
10.3%
7 3
 
5.2%
5 3
 
5.2%
0 2
 
3.4%
Space Separator
ValueCountFrequency (%)
53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1968
93.8%
Common 130
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
122
 
6.2%
122
 
6.2%
68
 
3.5%
62
 
3.2%
61
 
3.1%
61
 
3.1%
60
 
3.0%
58
 
2.9%
56
 
2.8%
52
 
2.6%
Other values (160) 1246
63.3%
Common
ValueCountFrequency (%)
53
40.8%
1 17
 
13.1%
2 14
 
10.8%
6 7
 
5.4%
) 7
 
5.4%
( 7
 
5.4%
3 6
 
4.6%
4 6
 
4.6%
- 5
 
3.8%
7 3
 
2.3%
Other values (2) 5
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1968
93.8%
ASCII 130
 
6.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
122
 
6.2%
122
 
6.2%
68
 
3.5%
62
 
3.2%
61
 
3.1%
61
 
3.1%
60
 
3.0%
58
 
2.9%
56
 
2.8%
52
 
2.6%
Other values (160) 1246
63.3%
ASCII
ValueCountFrequency (%)
53
40.8%
1 17
 
13.1%
2 14
 
10.8%
6 7
 
5.4%
) 7
 
5.4%
( 7
 
5.4%
3 6
 
4.6%
4 6
 
4.6%
- 5
 
3.8%
7 3
 
2.3%
Other values (2) 5
 
3.8%
Distinct15
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
다목적실
58 
기타
55 
회의실
46 
체육관
22 
다목적경기장
20 
Other values (10)
58 

Length

Max length6
Median length5
Mean length3.2200772
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row다목적실
2nd row회의실
3rd row기타
4th row기타
5th row풋살경기장

Common Values

ValueCountFrequency (%)
다목적실 58
22.4%
기타 55
21.2%
회의실 46
17.8%
체육관 22
 
8.5%
다목적경기장 20
 
7.7%
강당 19
 
7.3%
강의실 11
 
4.2%
전시실 7
 
2.7%
테니스장 5
 
1.9%
축구장 5
 
1.9%
Other values (5) 11
 
4.2%

Length

2023-12-12T16:14:53.521334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
다목적실 58
22.4%
기타 55
21.2%
회의실 46
17.8%
체육관 22
 
8.5%
다목적경기장 20
 
7.7%
강당 19
 
7.3%
강의실 11
 
4.2%
전시실 7
 
2.7%
테니스장 5
 
1.9%
축구장 5
 
1.9%
Other values (5) 11
 
4.2%

휴관일
Categorical

HIGH CORRELATION 

Distinct36
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
공휴일
66 
연중무휴
47 
토일공휴일
28 
없음
23 
매주 월+1월1일+설+추석
Other values (31)
86 

Length

Max length28
Median length16
Mean length5.8223938
Min length1

Unique

Unique10 ?
Unique (%)3.9%

Sample

1st row매월 첫째셋째 월요일
2nd row매월 둘째넷째 월요일
3rd row매월 둘째넷째 월요일
4th row매월 둘째넷째 월요일
5th row없음

Common Values

ValueCountFrequency (%)
공휴일 66
25.5%
연중무휴 47
18.1%
토일공휴일 28
10.8%
없음 23
 
8.9%
매주 월+1월1일+설+추석 9
 
3.5%
매주일요일(법정공휴일) 8
 
3.1%
토·일요일 7
 
2.7%
매월 둘째넷째 월요일 7
 
2.7%
1월1일 설날(전일당일) 추석(전일당일) 임시공휴일 4
 
1.5%
토.일 4
 
1.5%
Other values (26) 56
21.6%

Length

2023-12-12T16:14:53.685498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공휴일 75
21.3%
연중무휴 47
13.4%
매주 32
 
9.1%
토일공휴일 28
 
8.0%
없음 23
 
6.5%
월요일 22
 
6.2%
토·일요일 16
 
4.5%
매월 12
 
3.4%
월+1월1일+설+추석 9
 
2.6%
매주일요일(법정공휴일 8
 
2.3%
Other values (28) 80
22.7%

평일운영시작시각
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct10
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
09:00
185 
06:00
37 
08:00
 
16
10:00
 
7
07:00
 
5
Other values (5)
 
9

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique3 ?
Unique (%)1.2%

Sample

1st row09:00
2nd row10:00
3rd row10:00
4th row10:00
5th row06:00

Common Values

ValueCountFrequency (%)
09:00 185
71.4%
06:00 37
 
14.3%
08:00 16
 
6.2%
10:00 7
 
2.7%
07:00 5
 
1.9%
05:00 4
 
1.5%
00:00 2
 
0.8%
05:30 1
 
0.4%
13:00 1
 
0.4%
09:30 1
 
0.4%

Length

2023-12-12T16:14:53.823314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:14:53.939307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00 185
71.4%
06:00 37
 
14.3%
08:00 16
 
6.2%
10:00 7
 
2.7%
07:00 5
 
1.9%
05:00 4
 
1.5%
00:00 2
 
0.8%
05:30 1
 
0.4%
13:00 1
 
0.4%
09:30 1
 
0.4%

평일운영종료시각
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
18:00
92 
22:00
70 
21:00
57 
23:00
18 
23:59
 
6
Other values (7)
16 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st row18:00
2nd row18:00
3rd row18:00
4th row18:00
5th row20:00

Common Values

ValueCountFrequency (%)
18:00 92
35.5%
22:00 70
27.0%
21:00 57
22.0%
23:00 18
 
6.9%
23:59 6
 
2.3%
21:50 5
 
1.9%
10:00 3
 
1.2%
20:00 2
 
0.8%
17:00 2
 
0.8%
00:00 2
 
0.8%
Other values (2) 2
 
0.8%

Length

2023-12-12T16:14:54.083348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
18:00 92
35.5%
22:00 70
27.0%
21:00 57
22.0%
23:00 18
 
6.9%
23:59 6
 
2.3%
21:50 5
 
1.9%
10:00 3
 
1.2%
20:00 2
 
0.8%
17:00 2
 
0.8%
00:00 2
 
0.8%
Other values (2) 2
 
0.8%

주말운영시작시각
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
09:00
139 
00:00
65 
06:00
21 
08:00
16 
10:00
 
6
Other values (5)
 
12

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique3 ?
Unique (%)1.2%

Sample

1st row09:00
2nd row10:00
3rd row10:00
4th row10:00
5th row06:00

Common Values

ValueCountFrequency (%)
09:00 139
53.7%
00:00 65
25.1%
06:00 21
 
8.1%
08:00 16
 
6.2%
10:00 6
 
2.3%
07:00 5
 
1.9%
05:00 4
 
1.5%
06:30 1
 
0.4%
05:30 1
 
0.4%
09:30 1
 
0.4%

Length

2023-12-12T16:14:54.226166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:14:54.339596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00 139
53.7%
00:00 65
25.1%
06:00 21
 
8.1%
08:00 16
 
6.2%
10:00 6
 
2.3%
07:00 5
 
1.9%
05:00 4
 
1.5%
06:30 1
 
0.4%
05:30 1
 
0.4%
09:30 1
 
0.4%

주말운영종료시각
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
22:00
63 
00:00
63 
18:00
54 
21:00
36 
23:00
28 
Other values (5)
15 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row18:00
2nd row18:00
3rd row18:00
4th row18:00
5th row20:00

Common Values

ValueCountFrequency (%)
22:00 63
24.3%
00:00 63
24.3%
18:00 54
20.8%
21:00 36
13.9%
23:00 28
10.8%
23:59 6
 
2.3%
17:00 4
 
1.5%
20:00 2
 
0.8%
13:00 2
 
0.8%
12:00 1
 
0.4%

Length

2023-12-12T16:14:54.478760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:14:54.910199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
22:00 63
24.3%
00:00 63
24.3%
18:00 54
20.8%
21:00 36
13.9%
23:00 28
10.8%
23:59 6
 
2.3%
17:00 4
 
1.5%
20:00 2
 
0.8%
13:00 2
 
0.8%
12:00 1
 
0.4%

유료사용여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size391.0 B
True
151 
False
108 
ValueCountFrequency (%)
True 151
58.3%
False 108
41.7%
2023-12-12T16:14:55.036279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct128
Distinct (%)49.8%
Missing2
Missing (%)0.8%
Memory size2.2 KiB
2023-12-12T16:14:55.303007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length20.2607
Min length15

Characters and Unicode

Total characters5207
Distinct characters160
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

Unique68 ?
Unique (%)26.5%

Sample

1st row충청남도 천안시 서북구 월봉4로 153
2nd row충청남도 천안시 동남구 중앙로 118
3rd row충청남도 천안시 동남구 중앙로 118
4th row충청남도 천안시 동남구 중앙로 118
5th row충청남도 천안시 서북구 축구센터로 150
ValueCountFrequency (%)
충청남도 257
 
21.1%
천안시 68
 
5.6%
서산시 55
 
4.5%
서북구 42
 
3.4%
공주시 29
 
2.4%
예산군 28
 
2.3%
동남구 26
 
2.1%
고마나루길 21
 
1.7%
90 17
 
1.4%
당진시 14
 
1.1%
Other values (271) 661
54.3%
2023-12-12T16:14:55.729796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
961
18.5%
295
 
5.7%
272
 
5.2%
260
 
5.0%
259
 
5.0%
196
 
3.8%
173
 
3.3%
1 168
 
3.2%
163
 
3.1%
2 123
 
2.4%
Other values (150) 2337
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3379
64.9%
Space Separator 961
 
18.5%
Decimal Number 797
 
15.3%
Dash Punctuation 48
 
0.9%
Open Punctuation 11
 
0.2%
Close Punctuation 11
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
295
 
8.7%
272
 
8.0%
260
 
7.7%
259
 
7.7%
196
 
5.8%
173
 
5.1%
163
 
4.8%
112
 
3.3%
98
 
2.9%
91
 
2.7%
Other values (136) 1460
43.2%
Decimal Number
ValueCountFrequency (%)
1 168
21.1%
2 123
15.4%
3 86
10.8%
0 75
9.4%
4 67
 
8.4%
5 62
 
7.8%
9 58
 
7.3%
6 58
 
7.3%
7 55
 
6.9%
8 45
 
5.6%
Space Separator
ValueCountFrequency (%)
961
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3379
64.9%
Common 1828
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
295
 
8.7%
272
 
8.0%
260
 
7.7%
259
 
7.7%
196
 
5.8%
173
 
5.1%
163
 
4.8%
112
 
3.3%
98
 
2.9%
91
 
2.7%
Other values (136) 1460
43.2%
Common
ValueCountFrequency (%)
961
52.6%
1 168
 
9.2%
2 123
 
6.7%
3 86
 
4.7%
0 75
 
4.1%
4 67
 
3.7%
5 62
 
3.4%
9 58
 
3.2%
6 58
 
3.2%
7 55
 
3.0%
Other values (4) 115
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3379
64.9%
ASCII 1828
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
961
52.6%
1 168
 
9.2%
2 123
 
6.7%
3 86
 
4.7%
0 75
 
4.1%
4 67
 
3.7%
5 62
 
3.4%
9 58
 
3.2%
6 58
 
3.2%
7 55
 
3.0%
Other values (4) 115
 
6.3%
Hangul
ValueCountFrequency (%)
295
 
8.7%
272
 
8.0%
260
 
7.7%
259
 
7.7%
196
 
5.8%
173
 
5.1%
163
 
4.8%
112
 
3.3%
98
 
2.9%
91
 
2.7%
Other values (136) 1460
43.2%

관리기관명
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
충청남도 천안시청
68 
충청남도 서산시청
58 
문화시설사업소
29 
충청남도 예산군청
28 
당진시
14 
Other values (11)
62 

Length

Max length16
Median length9
Mean length8.6679537
Min length3

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
충청남도 천안시청 68
26.3%
충청남도 서산시청 58
22.4%
문화시설사업소 29
11.2%
충청남도 예산군청 28
10.8%
당진시 14
 
5.4%
홍성군청 역사문화시설관리사업소 12
 
4.6%
충청남도 금산군청 10
 
3.9%
충청남도 아산시청 7
 
2.7%
부여군시설관리공단 6
 
2.3%
충청남도 서천군청 6
 
2.3%
Other values (6) 21
 
8.1%

Length

2023-12-12T16:14:55.869776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충청남도 186
40.6%
천안시청 68
 
14.8%
서산시청 58
 
12.7%
문화시설사업소 29
 
6.3%
예산군청 28
 
6.1%
당진시 14
 
3.1%
홍성군청 12
 
2.6%
역사문화시설관리사업소 12
 
2.6%
금산군청 10
 
2.2%
아산시청 7
 
1.5%
Other values (9) 34
 
7.4%
Distinct81
Distinct (%)31.3%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-12T16:14:56.138206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.2007722
Min length3

Characters and Unicode

Total characters1347
Distinct characters110
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)9.3%

Sample

1st row씽용도서관
2nd row중앙도서관
3rd row중앙도서관
4th row중앙도서관
5th row시설관리공단
ValueCountFrequency (%)
공연전시팀 23
 
8.6%
공공시설사업소 14
 
5.2%
체육진흥과 14
 
5.2%
시설관리공단 12
 
4.5%
시설관리사업소 11
 
4.1%
문화예술과 11
 
4.1%
관광문화체육과 8
 
3.0%
관리팀 8
 
3.0%
체육시설팀 6
 
2.2%
역사시설팀 6
 
2.2%
Other values (71) 155
57.8%
2023-12-12T16:14:56.568486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
80
 
5.9%
63
 
4.7%
61
 
4.5%
58
 
4.3%
52
 
3.9%
49
 
3.6%
44
 
3.3%
44
 
3.3%
39
 
2.9%
38
 
2.8%
Other values (100) 819
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1318
97.8%
Decimal Number 20
 
1.5%
Space Separator 9
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
80
 
6.1%
63
 
4.8%
61
 
4.6%
58
 
4.4%
52
 
3.9%
49
 
3.7%
44
 
3.3%
44
 
3.3%
39
 
3.0%
38
 
2.9%
Other values (96) 790
59.9%
Decimal Number
ValueCountFrequency (%)
1 10
50.0%
2 8
40.0%
3 2
 
10.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1318
97.8%
Common 29
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
80
 
6.1%
63
 
4.8%
61
 
4.6%
58
 
4.4%
52
 
3.9%
49
 
3.7%
44
 
3.3%
44
 
3.3%
39
 
3.0%
38
 
2.9%
Other values (96) 790
59.9%
Common
ValueCountFrequency (%)
1 10
34.5%
9
31.0%
2 8
27.6%
3 2
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1318
97.8%
ASCII 29
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
80
 
6.1%
63
 
4.8%
61
 
4.6%
58
 
4.4%
52
 
3.9%
49
 
3.7%
44
 
3.3%
44
 
3.3%
39
 
3.0%
38
 
2.9%
Other values (96) 790
59.9%
ASCII
ValueCountFrequency (%)
1 10
34.5%
9
31.0%
2 8
27.6%
3 2
 
6.9%
Distinct122
Distinct (%)47.8%
Missing4
Missing (%)1.5%
Memory size2.2 KiB
2023-12-12T16:14:56.812602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters3060
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

Unique61 ?
Unique (%)23.9%

Sample

1st row041-521-3731
2nd row041-521-3789
3rd row041-521-3789
4th row041-521-3789
5th row041-529-5170
ValueCountFrequency (%)
041-840-2254 17
 
6.7%
041-750-2414 8
 
3.1%
041-529-5170 6
 
2.4%
041-840-2207 6
 
2.4%
041-630-9219 6
 
2.4%
041-835-2941 5
 
2.0%
041-746-5950 4
 
1.6%
041-529-5048 4
 
1.6%
041-660-3408 4
 
1.6%
041-660-3977 4
 
1.6%
Other values (112) 191
74.9%
2023-12-12T16:14:57.202042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 510
16.7%
4 456
14.9%
0 455
14.9%
1 381
12.5%
6 243
7.9%
3 220
7.2%
2 192
 
6.3%
5 192
 
6.3%
9 168
 
5.5%
8 151
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2550
83.3%
Dash Punctuation 510
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 456
17.9%
0 455
17.8%
1 381
14.9%
6 243
9.5%
3 220
8.6%
2 192
7.5%
5 192
7.5%
9 168
 
6.6%
8 151
 
5.9%
7 92
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 510
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3060
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 510
16.7%
4 456
14.9%
0 455
14.9%
1 381
12.5%
6 243
7.9%
3 220
7.2%
2 192
 
6.3%
5 192
 
6.3%
9 168
 
5.5%
8 151
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3060
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 510
16.7%
4 456
14.9%
0 455
14.9%
1 381
12.5%
6 243
7.9%
3 220
7.2%
2 192
 
6.3%
5 192
 
6.3%
9 168
 
5.5%
8 151
 
4.9%

Correlations

2023-12-12T16:14:57.330629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
개방시설유형구분휴관일평일운영시작시각평일운영종료시각주말운영시작시각주말운영종료시각유료사용여부관리기관명담당부서명
개방시설유형구분1.0000.8460.7460.6700.5220.7490.5030.6760.271
휴관일0.8461.0000.9040.8470.8810.8280.8590.9650.987
평일운영시작시각0.7460.9041.0000.6810.9910.6960.4490.5710.716
평일운영종료시각0.6700.8470.6811.0000.4710.9010.8370.6270.838
주말운영시작시각0.5220.8810.9910.4711.0000.8250.8150.6530.918
주말운영종료시각0.7490.8280.6960.9010.8251.0000.8010.7810.892
유료사용여부0.5030.8590.4490.8370.8150.8011.0000.7600.883
관리기관명0.6760.9650.5710.6270.6530.7810.7601.0000.987
담당부서명0.2710.9870.7160.8380.9180.8920.8830.9871.000
2023-12-12T16:14:57.494845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주말운영종료시각유료사용여부평일운영시작시각주말운영시작시각평일운영종료시각관리기관명휴관일개방시설유형구분
주말운영종료시각1.0000.6250.2790.3910.6740.4440.4420.388
유료사용여부0.6251.0000.3390.6380.6650.5970.6740.448
평일운영시작시각0.2790.3391.0000.8310.3670.2610.5720.385
주말운영시작시각0.3910.6380.8311.0000.2170.3200.5250.220
평일운영종료시각0.6740.6650.3670.2171.0000.2750.4020.316
관리기관명0.4440.5970.2610.3200.2751.0000.6860.296
휴관일0.4420.6740.5720.5250.4020.6861.0000.407
개방시설유형구분0.3880.4480.3850.2200.3160.2960.4071.000
2023-12-12T16:14:57.686515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
개방시설유형구분휴관일평일운영시작시각평일운영종료시각주말운영시작시각주말운영종료시각유료사용여부관리기관명
개방시설유형구분1.0000.4070.3850.3160.2200.3880.4480.296
휴관일0.4071.0000.5720.4020.5250.4420.6740.686
평일운영시작시각0.3850.5721.0000.3670.8310.2790.3390.261
평일운영종료시각0.3160.4020.3671.0000.2170.6740.6650.275
주말운영시작시각0.2200.5250.8310.2171.0000.3910.6380.320
주말운영종료시각0.3880.4420.2790.6740.3911.0000.6250.444
유료사용여부0.4480.6740.3390.6650.6380.6251.0000.597
관리기관명0.2960.6860.2610.2750.3200.4440.5971.000

Missing values

2023-12-12T16:14:51.524144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:14:51.746129image/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.
2023-12-12T16:14:51.866757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

개방시설명개방장소명개방시설유형구분휴관일평일운영시작시각평일운영종료시각주말운영시작시각주말운영종료시각유료사용여부소재지도로명주소관리기관명담당부서명사용안내전화번호
0쌍용도서관 문화사랑방정보교육원다목적실매월 첫째셋째 월요일09:0018:0009:0018:00Y충청남도 천안시 서북구 월봉4로 153충청남도 천안시청씽용도서관041-521-3731
1중앙도서관 동아리방정보교육원회의실매월 둘째넷째 월요일10:0018:0010:0018:00N충청남도 천안시 동남구 중앙로 118충청남도 천안시청중앙도서관041-521-3789
2중앙도서관 공연연습실정보교육원기타매월 둘째넷째 월요일10:0018:0010:0018:00N충청남도 천안시 동남구 중앙로 118충청남도 천안시청중앙도서관041-521-3789
3중앙도서관 문화체험실정보교육원기타매월 둘째넷째 월요일10:0018:0010:0018:00N충청남도 천안시 동남구 중앙로 118충청남도 천안시청중앙도서관041-521-3789
4축구센터 풋살경기장축구센터풋살경기장없음06:0020:0006:0020:00Y충청남도 천안시 서북구 축구센터로 150충청남도 천안시청시설관리공단041-529-5170
5야구장야구장야구장명절당일08:0020:0008:0020:00Y충청남도 천안시 동남구 천안대로 320충청남도 천안시청시설관리공단041-529-5119
6부성1동주민자치센터 다목적실부성1동주민자치센터다목적실토일요일09:0018:0009:0022:00N충청남도 천안시 서북구 두정로 208충청남도 천안시청부성1동주민센터041-556-6981
7부성1동주민자치센터 요가실부성1동주민자치센터강의실토일요일09:0018:0009:0022:00N충청남도 천안시 서북구 두정로 208충청남도 천안시청부성1동주민센터041-556-6981
8부성1동주민자치센터 탁구실부성1동주민자치센터강의실토일요일09:0018:0009:0022:00N충청남도 천안시 서북구 두정로 208충청남도 천안시청부성1동주민센터041-556-6981
9부성2동주민자치센터 대강당부성2동주민자치센터강당토·일요일 공휴일09:0018:0009:0023:00Y충청남도 천안시 서북구 오성로 75충청남도 천안시청부성2동 주민센터041-553-6691
개방시설명개방장소명개방시설유형구분휴관일평일운영시작시각평일운영종료시각주말운영시작시각주말운영종료시각유료사용여부소재지도로명주소관리기관명담당부서명사용안내전화번호
249봉산면주민자치센터 다목적실봉산면주민자치센터다목적실토일공휴일09:0018:0000:0000:00N충청남도 예산군 봉산면 황금뜰로 3충청남도 예산군청봉산면041-339-8989
250고덕면행정복지센터 회의실고덕면행정복지센터회의실토일공휴일09:0018:0000:0000:00N충청남도 예산군 고덕면 고덕중앙로 45-5충청남도 예산군청고덕면041-339-8990
251고덕면주민자치센터 다목적실고덕면주민자치센터다목적실토일공휴일09:0018:0000:0000:00N충청남도 예산군 고덕면 고덕중앙로 45-5충청남도 예산군청고덕면041-339-8990
252신암면행정복지센터 회의실신암면행정복지센터회의실토일공휴일09:0018:0000:0000:00N충청남도 예산군 신암면 종경길 70충청남도 예산군청신암면041-339-8991
253신암면복지회관 다목적실신암면복지회관다목적실토일공휴일09:0018:0000:0000:00N충청남도 예산군 신암면 종경길 70충청남도 예산군청신암면041-339-8991
254오가면행정복지센터 회의실오가면행정복지센터회의실토일공휴일09:0018:0000:0000:00N충청남도 예산군 오가면 오가중앙로 86-12충청남도 예산군청오가면041-339-8992
255오가면복지회관 다목적실오가면복지회관다목적실토일공휴일09:0018:0000:0000:00N충청남도 예산군 오가면 오가중앙로 86-12충청남도 예산군청오가면041-339-8992
256계룡문화예술의전당예술의전당다목적실-08:0022:0008:0022:00Y충청남도 계룡시 엄사면 문화로 31계룡시청공공시설사업소042-840-3714
257계룡종합운동장종합운동장다목적경기장-06:0022:0006:0022:00Y충청남도 계룡시 엄사면 계백로 2967계룡시청공공시설사업소042-840-3714
258계룡시민체육관시민체육관다목적경기장-06:0022:0006:0022:00Y충청남도 계룡시 엄사면 계백로 2935계룡시청공공시설사업소042-840-3714

Duplicate rows

Most frequently occurring

개방시설명개방장소명개방시설유형구분휴관일평일운영시작시각평일운영종료시각주말운영시작시각주말운영종료시각유료사용여부소재지도로명주소관리기관명담당부서명사용안내전화번호# duplicates
7고마컨벤션다목적실연중무휴09:0021:0009:0021:00Y충청남도 공주시 고마나루길 90문화시설사업소공연전시팀041-840-22543
10문예회관대공연장강당연중무휴09:0023:5909:0023:59Y충청남도 공주시 고마나루길5문화시설사업소공연전시팀041-840-22073
11문예회관소공연장강당연중무휴09:0023:5909:0023:59Y충청남도 공주시 고마나루길5문화시설사업소공연전시팀041-840-22073
0고마세미나실1다목적실연중무휴09:0021:0009:0021:00Y충청남도 공주시 고마나루길 90문화시설사업소공연전시팀041-840-22542
1고마세미나실2다목적실연중무휴09:0021:0009:0021:00Y충청남도 공주시 고마나루길 90문화시설사업소공연전시팀041-840-22542
2고마세미나실3다목적실연중무휴09:0021:0009:0021:00Y충청남도 공주시 고마나루길 90문화시설사업소공연전시팀041-840-22542
3고마세미나실4다목적실연중무휴09:0021:0009:0021:00Y충청남도 공주시 고마나루길 90문화시설사업소공연전시팀041-840-22542
4고마세미나실5다목적실연중무휴09:0021:0009:0021:00Y충청남도 공주시 고마나루길 90문화시설사업소공연전시팀041-840-22542
5고마세미나실6다목적실연중무휴09:0021:0009:0021:00Y충청남도 공주시 고마나루길 90문화시설사업소공연전시팀041-840-22542
6고마세미나실7다목적실연중무휴09:0021:0009:0021:00Y충청남도 공주시 고마나루길 90문화시설사업소공연전시팀041-840-22542