Overview

Dataset statistics

Number of variables5
Number of observations101
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory41.3 B

Variable types

Categorical1
Text4

Dataset

Description대전광역시 지진겸용 임시주거시설 현황 정보에 대한 데이터로 시설구분, 시설명, 위치, 전화번호 등의 항목을 제공합니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15065247/fileData.do

Alerts

시설구분 is highly imbalanced (59.4%)Imbalance
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:21:17.424589
Analysis finished2023-12-12 14:21:18.453932
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설구분
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
학교
84 
기타시설
 
8
<NA>
 
5
경로당
 
3
관공서
 
1

Length

Max length4
Median length2
Mean length2.2970297
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row<NA>
2nd row학교
3rd row학교
4th row학교
5th row학교

Common Values

ValueCountFrequency (%)
학교 84
83.2%
기타시설 8
 
7.9%
<NA> 5
 
5.0%
경로당 3
 
3.0%
관공서 1
 
1.0%

Length

2023-12-12T23:21:18.541159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:21:18.668178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학교 84
83.2%
기타시설 8
 
7.9%
na 5
 
5.0%
경로당 3
 
3.0%
관공서 1
 
1.0%

시설명
Text

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-12-12T23:21:18.899767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length8.1584158
Min length4

Characters and Unicode

Total characters824
Distinct characters124
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)100.0%

Sample

1st row동구 인동생활체육관
2nd row가오고등학교
3rd row가오초등학교
4th row대전신흥초등학교
5th row한밭여자중학교
ValueCountFrequency (%)
강당 33
 
22.8%
대전 9
 
6.2%
문화초등학교 2
 
1.4%
동구 1
 
0.7%
수정초등학교 1
 
0.7%
송림초등학교 1
 
0.7%
대전하기초등학교강당 1
 
0.7%
대전전자디자인고등학교 1
 
0.7%
대전과학고등학교 1
 
0.7%
어은중학교 1
 
0.7%
Other values (94) 94
64.8%
2023-12-12T23:21:19.330042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 87
 
10.6%
교 86
 
10.4%
등 67
 
8.1%
초 55
 
6.7%
44
 
5.3%
강 44
 
5.3%
당 44
 
5.3%
대 40
 
4.9%
전 38
 
4.6%
중 18
 
2.2%
Other values (114) 301
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 780
94.7%
Space Separator 44
 
5.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 87
 
11.2%
교 86
 
11.0%
등 67
 
8.6%
초 55
 
7.1%
강 44
 
5.6%
당 44
 
5.6%
대 40
 
5.1%
전 38
 
4.9%
중 18
 
2.3%
동 14
 
1.8%
Other values (113) 287
36.8%
Space Separator
ValueCountFrequency (%)
44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 780
94.7%
Common 44
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 87
 
11.2%
교 86
 
11.0%
등 67
 
8.6%
초 55
 
7.1%
강 44
 
5.6%
당 44
 
5.6%
대 40
 
5.1%
전 38
 
4.9%
중 18
 
2.3%
동 14
 
1.8%
Other values (113) 287
36.8%
Common
ValueCountFrequency (%)
44
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 780
94.7%
ASCII 44
 
5.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 87
 
11.2%
교 86
 
11.0%
등 67
 
8.6%
초 55
 
7.1%
강 44
 
5.6%
당 44
 
5.6%
대 40
 
5.1%
전 38
 
4.9%
중 18
 
2.3%
동 14
 
1.8%
Other values (113) 287
36.8%
ASCII
ValueCountFrequency (%)
44
100.0%

위치
Text

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-12-12T23:21:19.728125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30
Mean length24.316832
Min length21

Characters and Unicode

Total characters2456
Distinct characters131
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)98.0%

Sample

1st row대전광역시 동구 대전로 669-13 (인동)
2nd row대전광역시 동구 신기로 71 (가오동)
3rd row대전광역시 동구 신기로 112 (가오동)
4th row대전광역시 동구 신흥초등길 21 (신흥동)
5th row대전광역시 동구 동대전로110번길 74-57 (대동)
ValueCountFrequency (%)
대전광역시 101
 
19.9%
유성구 37
 
7.3%
서구 27
 
5.3%
대덕구 14
 
2.8%
동구 12
 
2.4%
중구 11
 
2.2%
문화동 5
 
1.0%
도마동 5
 
1.0%
노은동 4
 
0.8%
46 4
 
0.8%
Other values (219) 287
56.6%
2023-12-12T23:21:20.473903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
406
 
16.5%
대 145
 
5.9%
동 126
 
5.1%
전 108
 
4.4%
구 104
 
4.2%
역 102
 
4.2%
( 101
 
4.1%
광 101
 
4.1%
시 101
 
4.1%
) 101
 
4.1%
Other values (121) 1061
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1496
60.9%
Space Separator 406
 
16.5%
Decimal Number 345
 
14.0%
Open Punctuation 101
 
4.1%
Close Punctuation 101
 
4.1%
Dash Punctuation 5
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 145
 
9.7%
동 126
 
8.4%
전 108
 
7.2%
구 104
 
7.0%
역 102
 
6.8%
광 101
 
6.8%
시 101
 
6.8%
로 98
 
6.6%
성 43
 
2.9%
유 41
 
2.7%
Other values (106) 527
35.2%
Decimal Number
ValueCountFrequency (%)
1 70
20.3%
2 46
13.3%
3 41
11.9%
6 37
10.7%
4 33
9.6%
7 28
 
8.1%
0 27
 
7.8%
5 27
 
7.8%
9 23
 
6.7%
8 13
 
3.8%
Space Separator
ValueCountFrequency (%)
406
100.0%
Open Punctuation
ValueCountFrequency (%)
( 101
100.0%
Close Punctuation
ValueCountFrequency (%)
) 101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1496
60.9%
Common 960
39.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 145
 
9.7%
동 126
 
8.4%
전 108
 
7.2%
구 104
 
7.0%
역 102
 
6.8%
광 101
 
6.8%
시 101
 
6.8%
로 98
 
6.6%
성 43
 
2.9%
유 41
 
2.7%
Other values (106) 527
35.2%
Common
ValueCountFrequency (%)
406
42.3%
( 101
 
10.5%
) 101
 
10.5%
1 70
 
7.3%
2 46
 
4.8%
3 41
 
4.3%
6 37
 
3.9%
4 33
 
3.4%
7 28
 
2.9%
0 27
 
2.8%
Other values (5) 70
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1496
60.9%
ASCII 960
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
406
42.3%
( 101
 
10.5%
) 101
 
10.5%
1 70
 
7.3%
2 46
 
4.8%
3 41
 
4.3%
6 37
 
3.9%
4 33
 
3.4%
7 28
 
2.9%
0 27
 
2.8%
Other values (5) 70
 
7.3%
Hangul
ValueCountFrequency (%)
대 145
 
9.7%
동 126
 
8.4%
전 108
 
7.2%
구 104
 
7.0%
역 102
 
6.8%
광 101
 
6.8%
시 101
 
6.8%
로 98
 
6.6%
성 43
 
2.9%
유 41
 
2.7%
Other values (106) 527
35.2%

수용가능면적(m²)
Text

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-12-12T23:21:20.951273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.6138614
Min length3

Characters and Unicode

Total characters466
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)98.0%

Sample

1st row1,129
2nd row750
3rd row746
4th row673
5th row1,789
ValueCountFrequency (%)
623 2
 
2.0%
700 1
 
1.0%
820 1
 
1.0%
754 1
 
1.0%
3,567 1
 
1.0%
530 1
 
1.0%
872 1
 
1.0%
1,196 1
 
1.0%
373 1
 
1.0%
586 1
 
1.0%
Other values (90) 90
89.1%
2023-12-12T23:21:21.364515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
101
21.7%
7 44
9.4%
1 40
 
8.6%
6 39
 
8.4%
2 38
 
8.2%
0 35
 
7.5%
5 34
 
7.3%
8 33
 
7.1%
, 32
 
6.9%
9 29
 
6.2%
Other values (2) 41
8.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 333
71.5%
Space Separator 101
 
21.7%
Other Punctuation 32
 
6.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 44
13.2%
1 40
12.0%
6 39
11.7%
2 38
11.4%
0 35
10.5%
5 34
10.2%
8 33
9.9%
9 29
8.7%
3 22
6.6%
4 19
5.7%
Space Separator
ValueCountFrequency (%)
101
100.0%
Other Punctuation
ValueCountFrequency (%)
, 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 466
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
101
21.7%
7 44
9.4%
1 40
 
8.6%
6 39
 
8.4%
2 38
 
8.2%
0 35
 
7.5%
5 34
 
7.3%
8 33
 
7.1%
, 32
 
6.9%
9 29
 
6.2%
Other values (2) 41
8.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 466
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
101
21.7%
7 44
9.4%
1 40
 
8.6%
6 39
 
8.4%
2 38
 
8.2%
0 35
 
7.5%
5 34
 
7.3%
8 33
 
7.1%
, 32
 
6.9%
9 29
 
6.2%
Other values (2) 41
8.8%

연락처
Text

Distinct75
Distinct (%)74.3%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-12-12T23:21:21.640634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1212
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

Unique73 ?
Unique (%)72.3%

Sample

1st row042-251-4235
2nd row042-280-3700
3rd row042-281-7008
4th row042-282-4872
5th row042-624-2372
ValueCountFrequency (%)
042-288-3016 26
 
25.7%
042-583-4965 2
 
2.0%
042-936-0832 1
 
1.0%
042-625-2365 1
 
1.0%
042-935-4006 1
 
1.0%
042-670-3802 1
 
1.0%
042-863-5797 1
 
1.0%
042-861-4173 1
 
1.0%
042-824-2240 1
 
1.0%
042-251-4235 1
 
1.0%
Other values (65) 65
64.4%
2023-12-12T23:21:22.015192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 202
16.7%
2 194
16.0%
0 193
15.9%
4 150
12.4%
8 112
9.2%
6 84
6.9%
3 82
6.8%
5 58
 
4.8%
1 57
 
4.7%
7 49
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1010
83.3%
Dash Punctuation 202
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 194
19.2%
0 193
19.1%
4 150
14.9%
8 112
11.1%
6 84
8.3%
3 82
8.1%
5 58
 
5.7%
1 57
 
5.6%
7 49
 
4.9%
9 31
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 202
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1212
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 202
16.7%
2 194
16.0%
0 193
15.9%
4 150
12.4%
8 112
9.2%
6 84
6.9%
3 82
6.8%
5 58
 
4.8%
1 57
 
4.7%
7 49
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1212
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 202
16.7%
2 194
16.0%
0 193
15.9%
4 150
12.4%
8 112
9.2%
6 84
6.9%
3 82
6.8%
5 58
 
4.8%
1 57
 
4.7%
7 49
 
4.0%

Correlations

2023-12-12T23:21:22.116455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분위치수용가능면적(m²)연락처
시설구분1.0001.0000.0000.000
위치1.0001.0000.9991.000
수용가능면적(m²)0.0000.9991.0000.998
연락처0.0001.0000.9981.000

Missing values

2023-12-12T23:21:18.308564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:21:18.409930image/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

시설구분시설명위치수용가능면적(m²)연락처
0<NA>동구 인동생활체육관대전광역시 동구 대전로 669-13 (인동)1,129042-251-4235
1학교가오고등학교대전광역시 동구 신기로 71 (가오동)750042-280-3700
2학교가오초등학교대전광역시 동구 신기로 112 (가오동)746042-281-7008
3학교대전신흥초등학교대전광역시 동구 신흥초등길 21 (신흥동)673042-282-4872
4학교한밭여자중학교대전광역시 동구 동대전로110번길 74-57 (대동)1,789042-624-2372
5학교가양중학교대전광역시 동구 비래서로62번길 100 (가양동)1,825042-620-1500
6학교가양초등학교대전광역시 동구 가양로 61 (가양동)876042-633-1984
7학교대전성남초등학교대전광역시 동구 성남로32번길 5 (성남동)860042-625-0052
8학교대전동서초등학교대전광역시 동구 동서대로 1522 (삼성동)591042-630-9000
9학교한밭중학교대전광역시 동구 태전로 67 (삼성동)1,790042-620-3950
시설구분시설명위치수용가능면적(m²)연락처
91학교대전법동초등학교대전광역시 대덕구 계족로664번길 74 (법동)2,509042-626-7567
92학교중리초등학교대전광역시 대덕구 중리북로 20 (법동)890042-621-9442
93기타시설법동종합사회복지관대전광역시 대덕구 계족로664번길 27 (법동, 한마음아파트)330042-633-0239
94학교대전용전중학교대전광역시 대덕구 한밭대로1146번길 46 (중리동)922042-620-1905
95<NA>대덕구청소년수련관대전광역시 대덕구 쌍청당로 25 (중리동)1,904042-626-7728
96<NA>대덕국민체육센터대전광역시 대덕구 대덕대로1486번길 101 (목상동)519042-716-3000
97<NA>대덕문화체육관대전광역시 대덕구 대덕대로1486번길 85 (목상동)1,774042-608-5582
98학교새일초등학교대전광역시 대덕구 덕암로125번길 15 (덕암동)2,160042-931-1414
99경로당장동주민문화센터대전광역시 대덕구 산디로15번길 63 (장동)69042-625-2365
100<NA>신탄진평생학습도서관대전광역시 대덕구 신탄진동로 64 (신탄진동)3,245042-608-5511