Overview

Dataset statistics

Number of variables29
Number of observations187
Missing cells417
Missing cells (%)7.7%
Duplicate rows1
Duplicate rows (%)0.5%
Total size in memory44.3 KiB
Average record size in memory242.7 B

Variable types

Text7
Categorical4
Numeric10
DateTime8

Dataset

Description유기동물 동물보호센터 등록정보를 제공하는 서비스 입니다. ‘보호센터등록번호’ 또는 ‘동물보호센터명’으로 조회가능하며, ‘상세 보호시설’ 정보가 등록된 경우에는 보호시설의 상세정보(영업 시간, 위/경도, 휴무일 등)을 함께 제공하며, 등록되지 않았을 경우 보호센터의 기본정보를 제공합니다 「동물보호법」에 따라 유실 또는 유기된 동물의 신속한 구조 및 보호조치를 위해 설치·운영되는 동물보호센터의 정보
Author농림축산식품부 농림축산검역본부
URLhttps://www.data.go.kr/data/15025454/standard.do

Alerts

Dataset has 1 (0.5%) duplicate rowsDuplicates
평일운영종료시각 is highly imbalanced (50.1%)Imbalance
소재지도로명주소 has 5 (2.7%) missing valuesMissing
소재지지번주소 has 26 (13.9%) missing valuesMissing
평일분양시작시각 has 30 (16.0%) missing valuesMissing
평일분양종료시각 has 30 (16.0%) missing valuesMissing
주말운영시작시각 has 49 (26.2%) missing valuesMissing
주말분양시작시각 has 73 (39.0%) missing valuesMissing
주말분양종료시각 has 73 (39.0%) missing valuesMissing
진료실수 has 32 (17.1%) missing valuesMissing
사육실수 has 23 (12.3%) missing valuesMissing
격리실수 has 22 (11.8%) missing valuesMissing
사료보관실수 has 29 (15.5%) missing valuesMissing
구조운반용차량보유대수 has 25 (13.4%) missing valuesMissing
수의사인원수 has 34 (18.2%) zerosZeros
사양관리사인원수 has 17 (9.1%) zerosZeros
진료실수 has 18 (9.6%) zerosZeros
격리실수 has 3 (1.6%) zerosZeros
사료보관실수 has 2 (1.1%) zerosZeros
구조운반용차량보유대수 has 28 (15.0%) zerosZeros

Reproduction

Analysis started2023-12-12 12:41:04.358722
Analysis finished2023-12-12 12:41:05.130923
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

동물보호센터명
Text

Distinct150
Distinct (%)80.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T21:41:05.277029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length8.9251337
Min length3

Characters and Unicode

Total characters1669
Distinct characters190
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique126 ?
Unique (%)67.4%

Sample

1st row강진군유기견보호소
2nd row수성구유기동물보호센터
3rd row강북동물병원
4th row죽전TNR동물병원
5th row베스트동물병원
ValueCountFrequency (%)
동물보호센터 8
 
3.5%
유기동물보호소 8
 
3.5%
한국동물구조관리협회 7
 
3.1%
사)한국동물구조관리협회 6
 
2.6%
울산유기동물보호센터 5
 
2.2%
부산동물보호센터 4
 
1.8%
사단법인 4
 
1.8%
유기동물 3
 
1.3%
동물병원 3
 
1.3%
인천수의사회 3
 
1.3%
Other values (157) 176
77.5%
2023-12-12T21:41:05.644377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 177
 
10.6%
물 173
 
10.4%
호 88
 
5.3%
보 85
 
5.1%
원 77
 
4.6%
병 74
 
4.4%
센 49
 
2.9%
터 49
 
2.9%
기 44
 
2.6%
유 42
 
2.5%
Other values (180) 811
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1588
95.1%
Space Separator 40
 
2.4%
Close Punctuation 15
 
0.9%
Open Punctuation 15
 
0.9%
Uppercase Letter 9
 
0.5%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 177
 
11.1%
물 173
 
10.9%
호 88
 
5.5%
보 85
 
5.4%
원 77
 
4.8%
병 74
 
4.7%
센 49
 
3.1%
터 49
 
3.1%
기 44
 
2.8%
유 42
 
2.6%
Other values (169) 730
46.0%
Uppercase Letter
ValueCountFrequency (%)
K 3
33.3%
M 2
22.2%
U 1
 
11.1%
R 1
 
11.1%
N 1
 
11.1%
T 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1588
95.1%
Common 72
 
4.3%
Latin 9
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 177
 
11.1%
물 173
 
10.9%
호 88
 
5.5%
보 85
 
5.4%
원 77
 
4.8%
병 74
 
4.7%
센 49
 
3.1%
터 49
 
3.1%
기 44
 
2.8%
유 42
 
2.6%
Other values (169) 730
46.0%
Latin
ValueCountFrequency (%)
K 3
33.3%
M 2
22.2%
U 1
 
11.1%
R 1
 
11.1%
N 1
 
11.1%
T 1
 
11.1%
Common
ValueCountFrequency (%)
40
55.6%
) 15
 
20.8%
( 15
 
20.8%
1 1
 
1.4%
2 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1588
95.1%
ASCII 81
 
4.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 177
 
11.1%
물 173
 
10.9%
호 88
 
5.5%
보 85
 
5.4%
원 77
 
4.8%
병 74
 
4.7%
센 49
 
3.1%
터 49
 
3.1%
기 44
 
2.8%
유 42
 
2.6%
Other values (169) 730
46.0%
ASCII
ValueCountFrequency (%)
40
49.4%
) 15
 
18.5%
( 15
 
18.5%
K 3
 
3.7%
M 2
 
2.5%
U 1
 
1.2%
1 1
 
1.2%
2 1
 
1.2%
R 1
 
1.2%
N 1
 
1.2%

관리기관명
Text

Distinct147
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T21:41:05.912235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15
Mean length7.0855615
Min length3

Characters and Unicode

Total characters1325
Distinct characters141
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

Unique129 ?
Unique (%)69.0%

Sample

1st row강진군청
2nd row대구시수의사회
3rd row공주시청
4th row경기도 광주시청
5th row강화군청
ValueCountFrequency (%)
울산광역시 23
 
8.0%
인천광역시 12
 
4.2%
울주군청 10
 
3.5%
서울특별시 10
 
3.5%
남구청 7
 
2.4%
경기도 7
 
2.4%
북구청 6
 
2.1%
경상북도 6
 
2.1%
부산광역시 5
 
1.7%
경상남도 5
 
1.7%
Other values (148) 197
68.4%
2023-12-12T21:41:06.327647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 122
 
9.2%
청 113
 
8.5%
101
 
7.6%
구 64
 
4.8%
산 59
 
4.5%
군 57
 
4.3%
광 52
 
3.9%
역 51
 
3.8%
울 49
 
3.7%
도 40
 
3.0%
Other values (131) 617
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1219
92.0%
Space Separator 101
 
7.6%
Other Punctuation 3
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 122
 
10.0%
청 113
 
9.3%
구 64
 
5.3%
산 59
 
4.8%
군 57
 
4.7%
광 52
 
4.3%
역 51
 
4.2%
울 49
 
4.0%
도 40
 
3.3%
천 28
 
2.3%
Other values (127) 584
47.9%
Space Separator
ValueCountFrequency (%)
101
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1219
92.0%
Common 106
 
8.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 122
 
10.0%
청 113
 
9.3%
구 64
 
5.3%
산 59
 
4.8%
군 57
 
4.7%
광 52
 
4.3%
역 51
 
4.2%
울 49
 
4.0%
도 40
 
3.3%
천 28
 
2.3%
Other values (127) 584
47.9%
Common
ValueCountFrequency (%)
101
95.3%
, 3
 
2.8%
( 1
 
0.9%
) 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1219
92.0%
ASCII 106
 
8.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 122
 
10.0%
청 113
 
9.3%
구 64
 
5.3%
산 59
 
4.8%
군 57
 
4.7%
광 52
 
4.3%
역 51
 
4.2%
울 49
 
4.0%
도 40
 
3.3%
천 28
 
2.3%
Other values (127) 584
47.9%
ASCII
ValueCountFrequency (%)
101
95.3%
, 3
 
2.8%
( 1
 
0.9%
) 1
 
0.9%

동물보호센터유형
Categorical

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
동물병원
86 
법인
43 
개인
31 
단체
27 

Length

Max length4
Median length2
Mean length2.9197861
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row법인
2nd row법인
3rd row개인
4th row동물병원
5th row동물병원

Common Values

ValueCountFrequency (%)
동물병원 86
46.0%
법인 43
23.0%
개인 31
 
16.6%
단체 27
 
14.4%

Length

2023-12-12T21:41:06.808615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:41:06.950573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물병원 86
46.0%
법인 43
23.0%
개인 31
 
16.6%
단체 27
 
14.4%

구조대상동물
Text

Distinct61
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T21:41:07.382479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length89
Median length57
Mean length9.1283422
Min length1

Characters and Unicode

Total characters1707
Distinct characters121
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)23.0%

Sample

1st row개
2nd row개,고양이,기타반려동물
3rd row반려동물
4th row개+고양이
5th row유기동물
ValueCountFrequency (%)
개 51
 
14.4%
개+고양이 34
 
9.6%
고양이 32
 
9.0%
개+고양이+기타 27
 
7.6%
유기동물 16
 
4.5%
개,고양이 13
 
3.7%
등 12
 
3.4%
동물 9
 
2.5%
및 4
 
1.1%
따른 4
 
1.1%
Other values (104) 153
43.1%
2023-12-12T21:41:07.856730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
168
 
9.8%
개 152
 
8.9%
고 141
 
8.3%
이 139
 
8.1%
양 136
 
8.0%
+ 129
 
7.6%
, 89
 
5.2%
기 80
 
4.7%
유 62
 
3.6%
동 62
 
3.6%
Other values (111) 549
32.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1275
74.7%
Space Separator 168
 
9.8%
Math Symbol 129
 
7.6%
Other Punctuation 99
 
5.8%
Close Punctuation 13
 
0.8%
Open Punctuation 13
 
0.8%
Decimal Number 10
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 152
 
11.9%
고 141
 
11.1%
이 139
 
10.9%
양 136
 
10.7%
기 80
 
6.3%
유 62
 
4.9%
동 62
 
4.9%
물 62
 
4.9%
타 38
 
3.0%
등 18
 
1.4%
Other values (96) 385
30.2%
Decimal Number
ValueCountFrequency (%)
2 3
30.0%
3 3
30.0%
1 2
20.0%
8 1
 
10.0%
4 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 89
89.9%
· 5
 
5.1%
. 3
 
3.0%
/ 2
 
2.0%
Close Punctuation
ValueCountFrequency (%)
) 11
84.6%
」 2
 
15.4%
Open Punctuation
ValueCountFrequency (%)
( 11
84.6%
「 2
 
15.4%
Space Separator
ValueCountFrequency (%)
168
100.0%
Math Symbol
ValueCountFrequency (%)
+ 129
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1275
74.7%
Common 432
 
25.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 152
 
11.9%
고 141
 
11.1%
이 139
 
10.9%
양 136
 
10.7%
기 80
 
6.3%
유 62
 
4.9%
동 62
 
4.9%
물 62
 
4.9%
타 38
 
3.0%
등 18
 
1.4%
Other values (96) 385
30.2%
Common
ValueCountFrequency (%)
168
38.9%
+ 129
29.9%
, 89
20.6%
) 11
 
2.5%
( 11
 
2.5%
· 5
 
1.2%
. 3
 
0.7%
2 3
 
0.7%
3 3
 
0.7%
/ 2
 
0.5%
Other values (5) 8
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1275
74.7%
ASCII 423
 
24.8%
None 9
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
168
39.7%
+ 129
30.5%
, 89
21.0%
) 11
 
2.6%
( 11
 
2.6%
. 3
 
0.7%
2 3
 
0.7%
3 3
 
0.7%
/ 2
 
0.5%
1 2
 
0.5%
Other values (2) 2
 
0.5%
Hangul
ValueCountFrequency (%)
개 152
 
11.9%
고 141
 
11.1%
이 139
 
10.9%
양 136
 
10.7%
기 80
 
6.3%
유 62
 
4.9%
동 62
 
4.9%
물 62
 
4.9%
타 38
 
3.0%
등 18
 
1.4%
Other values (96) 385
30.2%
None
ValueCountFrequency (%)
· 5
55.6%
「 2
 
22.2%
」 2
 
22.2%

소재지도로명주소
Text

MISSING 

Distinct145
Distinct (%)79.7%
Missing5
Missing (%)2.7%
Memory size1.6 KiB
2023-12-12T21:41:08.279773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length20.791209
Min length14

Characters and Unicode

Total characters3784
Distinct characters217
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

Unique125 ?
Unique (%)68.7%

Sample

1st row전라남도 강진군 강진읍 초지길 109-62
2nd row대구광역시 북구 호국로 229
3rd row충청남도 공주시 신관동 번영1로 54
4th row경기도 광주시 경안천로 144 1층
5th row인천광역시 강화군 강화읍 강화대로 217
ValueCountFrequency (%)
경기도 35
 
4.2%
울산광역시 27
 
3.2%
충청남도 23
 
2.7%
인천광역시 18
 
2.1%
양주시 17
 
2.0%
감악산로 16
 
1.9%
남면 16
 
1.9%
63-37 14
 
1.7%
경상북도 13
 
1.5%
울주군 13
 
1.5%
Other values (437) 648
77.1%
2023-12-12T21:41:08.958606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
659
 
17.4%
로 143
 
3.8%
시 141
 
3.7%
도 126
 
3.3%
2 104
 
2.7%
1 101
 
2.7%
3 100
 
2.6%
산 94
 
2.5%
남 87
 
2.3%
6 71
 
1.9%
Other values (207) 2158
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2376
62.8%
Space Separator 659
 
17.4%
Decimal Number 626
 
16.5%
Dash Punctuation 56
 
1.5%
Open Punctuation 31
 
0.8%
Close Punctuation 31
 
0.8%
Other Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 143
 
6.0%
시 141
 
5.9%
도 126
 
5.3%
산 94
 
4.0%
남 87
 
3.7%
구 70
 
2.9%
광 66
 
2.8%
경 64
 
2.7%
역 63
 
2.7%
군 61
 
2.6%
Other values (191) 1461
61.5%
Decimal Number
ValueCountFrequency (%)
2 104
16.6%
1 101
16.1%
3 100
16.0%
6 71
11.3%
5 62
9.9%
4 52
8.3%
7 45
7.2%
0 33
 
5.3%
9 30
 
4.8%
8 28
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
. 1
 
20.0%
Space Separator
ValueCountFrequency (%)
659
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2376
62.8%
Common 1408
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 143
 
6.0%
시 141
 
5.9%
도 126
 
5.3%
산 94
 
4.0%
남 87
 
3.7%
구 70
 
2.9%
광 66
 
2.8%
경 64
 
2.7%
역 63
 
2.7%
군 61
 
2.6%
Other values (191) 1461
61.5%
Common
ValueCountFrequency (%)
659
46.8%
2 104
 
7.4%
1 101
 
7.2%
3 100
 
7.1%
6 71
 
5.0%
5 62
 
4.4%
- 56
 
4.0%
4 52
 
3.7%
7 45
 
3.2%
0 33
 
2.3%
Other values (6) 125
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2376
62.8%
ASCII 1408
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
659
46.8%
2 104
 
7.4%
1 101
 
7.2%
3 100
 
7.1%
6 71
 
5.0%
5 62
 
4.4%
- 56
 
4.0%
4 52
 
3.7%
7 45
 
3.2%
0 33
 
2.3%
Other values (6) 125
 
8.9%
Hangul
ValueCountFrequency (%)
로 143
 
6.0%
시 141
 
5.9%
도 126
 
5.3%
산 94
 
4.0%
남 87
 
3.7%
구 70
 
2.9%
광 66
 
2.8%
경 64
 
2.7%
역 63
 
2.7%
군 61
 
2.6%
Other values (191) 1461
61.5%

소재지지번주소
Text

MISSING 

Distinct129
Distinct (%)80.1%
Missing26
Missing (%)13.9%
Memory size1.6 KiB
2023-12-12T21:41:09.480895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length20.409938
Min length16

Characters and Unicode

Total characters3286
Distinct characters189
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

Unique111 ?
Unique (%)68.9%

Sample

1st row전라남도 강진군 강진읍 목리 467
2nd row대구광역시 북구 서변동 1783-3
3rd row충청남도 공주시 신관동 642-1
4th row경기도 광주시 경안천로 144 1층
5th row인천광역시 강화군 강화읍 갑곳리 519-2
ValueCountFrequency (%)
경기도 32
 
4.3%
충청남도 24
 
3.2%
울산광역시 17
 
2.3%
남면 14
 
1.9%
인천광역시 14
 
1.9%
상수리 14
 
1.9%
양주시 14
 
1.9%
410-1 13
 
1.7%
강원도 12
 
1.6%
경상북도 12
 
1.6%
Other values (428) 585
77.9%
2023-12-12T21:41:10.167584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
590
 
18.0%
1 145
 
4.4%
- 128
 
3.9%
시 121
 
3.7%
도 117
 
3.6%
리 97
 
3.0%
3 82
 
2.5%
동 81
 
2.5%
남 80
 
2.4%
4 76
 
2.3%
Other values (179) 1769
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1919
58.4%
Decimal Number 648
 
19.7%
Space Separator 590
 
18.0%
Dash Punctuation 128
 
3.9%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 121
 
6.3%
도 117
 
6.1%
리 97
 
5.1%
동 81
 
4.2%
남 80
 
4.2%
산 71
 
3.7%
경 61
 
3.2%
군 56
 
2.9%
구 55
 
2.9%
읍 53
 
2.8%
Other values (166) 1127
58.7%
Decimal Number
ValueCountFrequency (%)
1 145
22.4%
3 82
12.7%
4 76
11.7%
2 64
9.9%
5 59
9.1%
7 50
 
7.7%
0 46
 
7.1%
8 45
 
6.9%
6 43
 
6.6%
9 38
 
5.9%
Space Separator
ValueCountFrequency (%)
590
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 128
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1919
58.4%
Common 1367
41.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 121
 
6.3%
도 117
 
6.1%
리 97
 
5.1%
동 81
 
4.2%
남 80
 
4.2%
산 71
 
3.7%
경 61
 
3.2%
군 56
 
2.9%
구 55
 
2.9%
읍 53
 
2.8%
Other values (166) 1127
58.7%
Common
ValueCountFrequency (%)
590
43.2%
1 145
 
10.6%
- 128
 
9.4%
3 82
 
6.0%
4 76
 
5.6%
2 64
 
4.7%
5 59
 
4.3%
7 50
 
3.7%
0 46
 
3.4%
8 45
 
3.3%
Other values (3) 82
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1919
58.4%
ASCII 1367
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
590
43.2%
1 145
 
10.6%
- 128
 
9.4%
3 82
 
6.0%
4 76
 
5.6%
2 64
 
4.7%
5 59
 
4.3%
7 50
 
3.7%
0 46
 
3.4%
8 45
 
3.3%
Other values (3) 82
 
6.0%
Hangul
ValueCountFrequency (%)
시 121
 
6.3%
도 117
 
6.1%
리 97
 
5.1%
동 81
 
4.2%
남 80
 
4.2%
산 71
 
3.7%
경 61
 
3.2%
군 56
 
2.9%
구 55
 
2.9%
읍 53
 
2.8%
Other values (166) 1127
58.7%

위도
Real number (ℝ)

Distinct159
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.474049
Minimum34.624811
Maximum38.369034
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T21:41:10.392516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.624811
5-th percentile35.027249
Q135.538129
median36.452885
Q337.471938
95-th percentile37.870116
Maximum38.369034
Range3.7442231
Interquartile range (IQR)1.9338092

Descriptive statistics

Standard deviation1.013836
Coefficient of variation (CV)0.027796092
Kurtosis-1.4368256
Mean36.474049
Median Absolute Deviation (MAD)0.95347815
Skewness-0.016566538
Sum6820.6472
Variance1.0278635
MonotonicityNot monotonic
2023-12-12T21:41:10.609732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.8701158122 9
 
4.8%
35.3911384 5
 
2.7%
37.56623917 4
 
2.1%
37.8700725 4
 
2.1%
35.5625232 2
 
1.1%
35.5702722 2
 
1.1%
35.563515 2
 
1.1%
36.3325806 2
 
1.1%
35.6268056 2
 
1.1%
35.5760993 2
 
1.1%
Other values (149) 153
81.8%
ValueCountFrequency (%)
34.62481086 1
0.5%
34.748372 1
0.5%
34.787811 1
0.5%
34.85347034 1
0.5%
34.88284013 1
0.5%
34.883769299 1
0.5%
34.92692972 1
0.5%
34.977085 1
0.5%
34.9807201422 1
0.5%
35.0158732 1
0.5%
ValueCountFrequency (%)
38.369034 1
 
0.5%
38.209944 1
 
0.5%
38.0750765 1
 
0.5%
37.9225238 1
 
0.5%
37.8701158122 9
4.8%
37.870115812 1
 
0.5%
37.870073 2
 
1.1%
37.8700725 4
2.1%
37.860598 1
 
0.5%
37.845891 1
 
0.5%

경도
Real number (ℝ)

Distinct164
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.78782
Minimum126.29305
Maximum130.87747
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T21:41:10.831173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.29305
5-th percentile126.5525
Q1126.87006
median127.40997
Q3128.82288
95-th percentile129.3462
Maximum130.87747
Range4.5844226
Interquartile range (IQR)1.9528268

Descriptive statistics

Standard deviation1.0460674
Coefficient of variation (CV)0.0081859714
Kurtosis-1.2132664
Mean127.78782
Median Absolute Deviation (MAD)0.736912
Skewness0.43005935
Sum23896.322
Variance1.0942571
MonotonicityNot monotonic
2023-12-12T21:41:10.979260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9835430508 9
 
4.8%
126.9832252 4
 
2.1%
126.983225 2
 
1.1%
126.6336309 2
 
1.1%
129.2859116 2
 
1.1%
126.7220809 2
 
1.1%
129.121373 2
 
1.1%
126.5882243 2
 
1.1%
126.7196302 2
 
1.1%
128.599039 2
 
1.1%
Other values (154) 158
84.5%
ValueCountFrequency (%)
126.2930464 1
0.5%
126.4314953 1
0.5%
126.4346123132 1
0.5%
126.442097 1
0.5%
126.4489349 1
0.5%
126.457463 1
0.5%
126.485851 1
0.5%
126.5054316103 2
1.1%
126.5371848 1
0.5%
126.5882243 2
1.1%
ValueCountFrequency (%)
130.877469 1
0.5%
129.4298325314 1
0.5%
129.4298325 1
0.5%
129.4280944034 1
0.5%
129.4280944 1
0.5%
129.359324 1
0.5%
129.3590249772 1
0.5%
129.3576208342 1
0.5%
129.352021 2
1.1%
129.3326209 1
0.5%

동물보호센터지정일자
Date

Distinct93
Distinct (%)49.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum1997-01-01 00:00:00
Maximum2020-12-02 00:00:00
2023-12-12T21:41:11.146555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:41:11.297083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

평일운영시작시각
Date

Distinct8
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-12 12:00:00
2023-12-12T21:41:11.451363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:41:11.598483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

평일운영종료시각
Categorical

IMBALANCE 

Distinct15
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
18:00
126 
19:00
23 
20:00
 
5
24:00
 
4
00:00
 
4
Other values (10)
25 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)1.1%

Sample

1st row18:00
2nd row18:00
3rd row19:00
4th row19:00
5th row20:00

Common Values

ValueCountFrequency (%)
18:00 126
67.4%
19:00 23
 
12.3%
20:00 5
 
2.7%
24:00 4
 
2.1%
00:00 4
 
2.1%
17:00 4
 
2.1%
22:00 3
 
1.6%
21:00 3
 
1.6%
23:59 3
 
1.6%
23:00 3
 
1.6%
Other values (5) 9
 
4.8%

Length

2023-12-12T21:41:11.747939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
18:00 126
67.4%
19:00 23
 
12.3%
20:00 5
 
2.7%
24:00 4
 
2.1%
00:00 4
 
2.1%
17:00 4
 
2.1%
22:00 3
 
1.6%
21:00 3
 
1.6%
23:59 3
 
1.6%
23:00 3
 
1.6%
Other values (5) 9
 
4.8%

평일분양시작시각
Date

MISSING 

Distinct10
Distinct (%)6.4%
Missing30
Missing (%)16.0%
Memory size1.6 KiB
Minimum2023-12-12 08:30:00
Maximum2023-12-12 15:00:00
2023-12-12T21:41:11.885321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:41:12.003376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

평일분양종료시각
Date

MISSING 

Distinct13
Distinct (%)8.3%
Missing30
Missing (%)16.0%
Memory size1.6 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-12 23:00:00
2023-12-12T21:41:12.122368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:41:12.250777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

주말운영시작시각
Date

MISSING 

Distinct8
Distinct (%)5.8%
Missing49
Missing (%)26.2%
Memory size1.6 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-12 12:00:00
2023-12-12T21:41:12.373032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:41:12.495017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

주말운영종료시각
Categorical

Distinct19
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
18:00
74 
<NA>
49 
17:00
15 
00:00
10 
16:00
9 
Other values (14)
30 

Length

Max length5
Median length5
Mean length4.7379679
Min length4

Unique

Unique5 ?
Unique (%)2.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row17:00
5th row13:00

Common Values

ValueCountFrequency (%)
18:00 74
39.6%
<NA> 49
26.2%
17:00 15
 
8.0%
00:00 10
 
5.3%
16:00 9
 
4.8%
13:00 4
 
2.1%
14:00 4
 
2.1%
12:00 4
 
2.1%
24:00 3
 
1.6%
20:00 2
 
1.1%
Other values (9) 13
 
7.0%

Length

2023-12-12T21:41:12.651738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
18:00 74
39.6%
na 49
26.2%
17:00 15
 
8.0%
00:00 10
 
5.3%
16:00 9
 
4.8%
13:00 4
 
2.1%
14:00 4
 
2.1%
12:00 4
 
2.1%
24:00 3
 
1.6%
19:00 2
 
1.1%
Other values (9) 13
 
7.0%

주말분양시작시각
Date

MISSING 

Distinct10
Distinct (%)8.8%
Missing73
Missing (%)39.0%
Memory size1.6 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-12 15:00:00
2023-12-12T21:41:12.803644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:41:12.934026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

주말분양종료시각
Date

MISSING 

Distinct14
Distinct (%)12.3%
Missing73
Missing (%)39.0%
Memory size1.6 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-12 21:00:00
2023-12-12T21:41:13.045540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:41:13.185876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

휴무일
Categorical

Distinct45
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
연중무휴
39 
일요일
34 
없음
21 
공휴일
17 
토,일,공휴일
 
6
Other values (40)
70 

Length

Max length24
Median length19
Mean length4.7486631
Min length1

Unique

Unique26 ?
Unique (%)13.9%

Sample

1st row주말,공휴일
2nd row국정공휴일
3rd row일요일,공휴일
4th row일요일+공휴일
5th row자율

Common Values

ValueCountFrequency (%)
연중무휴 39
20.9%
일요일 34
18.2%
없음 21
11.2%
공휴일 17
 
9.1%
토,일,공휴일 6
 
3.2%
일요일+공휴일 6
 
3.2%
매주 일요일 6
 
3.2%
주말, 공휴일 4
 
2.1%
토요일+일요일+공휴일 4
 
2.1%
토요일+일요일 4
 
2.1%
Other values (35) 46
24.6%

Length

2023-12-12T21:41:13.358887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일요일 47
21.0%
연중무휴 39
17.4%
공휴일 27
12.1%
없음 21
 
9.4%
매주 9
 
4.0%
토,일,공휴일 6
 
2.7%
일요일+공휴일 6
 
2.7%
주말 5
 
2.2%
토요일 4
 
1.8%
토요일+일요일+공휴일 4
 
1.8%
Other values (41) 56
25.0%

수의사인원수
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2032086
Minimum0
Maximum21
Zeros34
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T21:41:13.481503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile3
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.7784222
Coefficient of variation (CV)1.4780664
Kurtosis83.98401
Mean1.2032086
Median Absolute Deviation (MAD)0
Skewness8.0363881
Sum225
Variance3.1627853
MonotonicityNot monotonic
2023-12-12T21:41:13.619583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 125
66.8%
0 34
 
18.2%
2 16
 
8.6%
3 6
 
3.2%
7 2
 
1.1%
6 1
 
0.5%
5 1
 
0.5%
4 1
 
0.5%
21 1
 
0.5%
ValueCountFrequency (%)
0 34
 
18.2%
1 125
66.8%
2 16
 
8.6%
3 6
 
3.2%
4 1
 
0.5%
5 1
 
0.5%
6 1
 
0.5%
7 2
 
1.1%
21 1
 
0.5%
ValueCountFrequency (%)
21 1
 
0.5%
7 2
 
1.1%
6 1
 
0.5%
5 1
 
0.5%
4 1
 
0.5%
3 6
 
3.2%
2 16
 
8.6%
1 125
66.8%
0 34
 
18.2%

사양관리사인원수
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7379679
Minimum0
Maximum29
Zeros17
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T21:41:13.736488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile7.7
Maximum29
Range29
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.1006073
Coefficient of variation (CV)1.1324484
Kurtosis27.459165
Mean2.7379679
Median Absolute Deviation (MAD)1
Skewness3.9332171
Sum512
Variance9.6137657
MonotonicityNot monotonic
2023-12-12T21:41:13.870195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 75
40.1%
2 26
 
13.9%
0 17
 
9.1%
3 17
 
9.1%
5 14
 
7.5%
4 12
 
6.4%
6 8
 
4.3%
7 8
 
4.3%
8 4
 
2.1%
9 3
 
1.6%
Other values (3) 3
 
1.6%
ValueCountFrequency (%)
0 17
 
9.1%
1 75
40.1%
2 26
 
13.9%
3 17
 
9.1%
4 12
 
6.4%
5 14
 
7.5%
6 8
 
4.3%
7 8
 
4.3%
8 4
 
2.1%
9 3
 
1.6%
ValueCountFrequency (%)
29 1
 
0.5%
14 1
 
0.5%
10 1
 
0.5%
9 3
 
1.6%
8 4
 
2.1%
7 8
4.3%
6 8
4.3%
5 14
7.5%
4 12
6.4%
3 17
9.1%

진료실수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)3.9%
Missing32
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean1.1419355
Minimum0
Maximum17
Zeros18
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T21:41:13.996988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4479664
Coefficient of variation (CV)1.2679932
Kurtosis94.848052
Mean1.1419355
Median Absolute Deviation (MAD)0
Skewness8.8758889
Sum177
Variance2.0966066
MonotonicityNot monotonic
2023-12-12T21:41:14.134058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 120
64.2%
0 18
 
9.6%
2 12
 
6.4%
3 2
 
1.1%
5 2
 
1.1%
17 1
 
0.5%
(Missing) 32
 
17.1%
ValueCountFrequency (%)
0 18
 
9.6%
1 120
64.2%
2 12
 
6.4%
3 2
 
1.1%
5 2
 
1.1%
17 1
 
0.5%
ValueCountFrequency (%)
17 1
 
0.5%
5 2
 
1.1%
3 2
 
1.1%
2 12
 
6.4%
1 120
64.2%
0 18
 
9.6%

사육실수
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)12.8%
Missing23
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean6.1219512
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T21:41:14.261062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q37
95-th percentile29
Maximum50
Range49
Interquartile range (IQR)6

Descriptive statistics

Standard deviation9.1917411
Coefficient of variation (CV)1.5014398
Kurtosis10.097866
Mean6.1219512
Median Absolute Deviation (MAD)1
Skewness3.045398
Sum1004
Variance84.488104
MonotonicityNot monotonic
2023-12-12T21:41:14.403535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 62
33.2%
2 21
 
11.2%
3 12
 
6.4%
6 10
 
5.3%
5 9
 
4.8%
7 8
 
4.3%
12 6
 
3.2%
9 6
 
3.2%
8 5
 
2.7%
4 5
 
2.7%
Other values (11) 20
 
10.7%
(Missing) 23
 
12.3%
ValueCountFrequency (%)
1 62
33.2%
2 21
 
11.2%
3 12
 
6.4%
4 5
 
2.7%
5 9
 
4.8%
6 10
 
5.3%
7 8
 
4.3%
8 5
 
2.7%
9 6
 
3.2%
10 3
 
1.6%
ValueCountFrequency (%)
50 3
1.6%
40 1
 
0.5%
34 1
 
0.5%
30 2
 
1.1%
29 3
1.6%
23 1
 
0.5%
22 1
 
0.5%
17 2
 
1.1%
15 1
 
0.5%
12 6
3.2%

격리실수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)8.5%
Missing22
Missing (%)11.8%
Infinite0
Infinite (%)0.0%
Mean2
Minimum0
Maximum36
Zeros3
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T21:41:14.528512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile5.8
Maximum36
Range36
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.1584472
Coefficient of variation (CV)2.0792236
Kurtosis41.670634
Mean2
Median Absolute Deviation (MAD)0
Skewness6.1378116
Sum330
Variance17.292683
MonotonicityNot monotonic
2023-12-12T21:41:14.653828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 131
70.1%
2 15
 
8.0%
5 3
 
1.6%
0 3
 
1.6%
3 3
 
1.6%
6 2
 
1.1%
36 1
 
0.5%
20 1
 
0.5%
17 1
 
0.5%
9 1
 
0.5%
Other values (4) 4
 
2.1%
(Missing) 22
 
11.8%
ValueCountFrequency (%)
0 3
 
1.6%
1 131
70.1%
2 15
 
8.0%
3 3
 
1.6%
4 1
 
0.5%
5 3
 
1.6%
6 2
 
1.1%
7 1
 
0.5%
9 1
 
0.5%
10 1
 
0.5%
ValueCountFrequency (%)
36 1
 
0.5%
30 1
 
0.5%
20 1
 
0.5%
17 1
 
0.5%
10 1
 
0.5%
9 1
 
0.5%
7 1
 
0.5%
6 2
1.1%
5 3
1.6%
4 1
 
0.5%

사료보관실수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)4.4%
Missing29
Missing (%)15.5%
Infinite0
Infinite (%)0.0%
Mean1.2025316
Minimum0
Maximum17
Zeros2
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T21:41:14.773072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3626477
Coefficient of variation (CV)1.1331492
Kurtosis117.05268
Mean1.2025316
Median Absolute Deviation (MAD)0
Skewness10.274008
Sum190
Variance1.8568088
MonotonicityNot monotonic
2023-12-12T21:41:14.877227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 144
77.0%
2 7
 
3.7%
0 2
 
1.1%
3 2
 
1.1%
4 1
 
0.5%
5 1
 
0.5%
17 1
 
0.5%
(Missing) 29
 
15.5%
ValueCountFrequency (%)
0 2
 
1.1%
1 144
77.0%
2 7
 
3.7%
3 2
 
1.1%
4 1
 
0.5%
5 1
 
0.5%
17 1
 
0.5%
ValueCountFrequency (%)
17 1
 
0.5%
5 1
 
0.5%
4 1
 
0.5%
3 2
 
1.1%
2 7
 
3.7%
1 144
77.0%
0 2
 
1.1%

구조운반용차량보유대수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)4.9%
Missing25
Missing (%)13.4%
Infinite0
Infinite (%)0.0%
Mean1.5185185
Minimum0
Maximum7
Zeros28
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T21:41:15.017549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5927718
Coefficient of variation (CV)1.0488985
Kurtosis4.1696918
Mean1.5185185
Median Absolute Deviation (MAD)0
Skewness2.0856045
Sum246
Variance2.536922
MonotonicityNot monotonic
2023-12-12T21:41:15.122577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 87
46.5%
0 28
 
15.0%
2 26
 
13.9%
5 8
 
4.3%
7 6
 
3.2%
3 5
 
2.7%
6 1
 
0.5%
4 1
 
0.5%
(Missing) 25
 
13.4%
ValueCountFrequency (%)
0 28
 
15.0%
1 87
46.5%
2 26
 
13.9%
3 5
 
2.7%
4 1
 
0.5%
5 8
 
4.3%
6 1
 
0.5%
7 6
 
3.2%
ValueCountFrequency (%)
7 6
 
3.2%
6 1
 
0.5%
5 8
 
4.3%
4 1
 
0.5%
3 5
 
2.7%
2 26
 
13.9%
1 87
46.5%
0 28
 
15.0%

전화번호
Text

Distinct131
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T21:41:15.366164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.026738
Min length11

Characters and Unicode

Total characters2249
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

Unique102 ?
Unique (%)54.5%

Sample

1st row061-430-3613
2nd row053-764-3708
3rd row041-856-9900
4th row031-322-7586
5th row032-934-9340
ValueCountFrequency (%)
031-867-9119 15
 
8.0%
052-238-6113 5
 
2.7%
032-515-7567 5
 
2.7%
000-0000-0000 4
 
2.1%
051-832-7119 4
 
2.1%
053-764-3708 4
 
2.1%
041-000-0000 3
 
1.6%
051-701-7599 3
 
1.6%
041-930-7924 2
 
1.1%
032-765-0112 2
 
1.1%
Other values (121) 140
74.9%
2023-12-12T21:41:15.814011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 374
16.6%
0 362
16.1%
5 244
10.8%
3 226
10.0%
1 205
9.1%
2 175
7.8%
7 165
7.3%
8 127
 
5.6%
4 126
 
5.6%
6 125
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1875
83.4%
Dash Punctuation 374
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 362
19.3%
5 244
13.0%
3 226
12.1%
1 205
10.9%
2 175
9.3%
7 165
8.8%
8 127
 
6.8%
4 126
 
6.7%
6 125
 
6.7%
9 120
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 374
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2249
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 374
16.6%
0 362
16.1%
5 244
10.8%
3 226
10.0%
1 205
9.1%
2 175
7.8%
7 165
7.3%
8 127
 
5.6%
4 126
 
5.6%
6 125
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2249
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 374
16.6%
0 362
16.1%
5 244
10.8%
3 226
10.0%
1 205
9.1%
2 175
7.8%
7 165
7.3%
8 127
 
5.6%
4 126
 
5.6%
6 125
 
5.6%

데이터기준일자
Date

Distinct118
Distinct (%)63.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2017-11-16 00:00:00
Maximum2020-09-22 00:00:00
2023-12-12T21:41:16.042272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:41:16.178378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제공기관코드
Real number (ℝ)

Distinct133
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4627275.4
Minimum3010000
Maximum6440000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T21:41:16.352868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3010000
5-th percentile3143000
Q13700000
median4460000
Q35405000
95-th percentile6440000
Maximum6440000
Range3430000
Interquartile range (IQR)1705000

Descriptive statistics

Standard deviation1095980.4
Coefficient of variation (CV)0.23685221
Kurtosis-1.1611237
Mean4627275.4
Median Absolute Deviation (MAD)900000
Skewness0.32518848
Sum8.653005 × 108
Variance1.2011731 × 1012
MonotonicityNot monotonic
2023-12-12T21:41:16.540131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6440000 16
 
8.6%
6310000 10
 
5.3%
3700000 7
 
3.7%
6280000 7
 
3.7%
3730000 5
 
2.7%
5530000 3
 
1.6%
3720000 3
 
1.6%
3710000 2
 
1.1%
3210000 2
 
1.1%
3930000 2
 
1.1%
Other values (123) 130
69.5%
ValueCountFrequency (%)
3010000 1
0.5%
3030000 1
0.5%
3040000 1
0.5%
3060000 1
0.5%
3070000 1
0.5%
3090000 1
0.5%
3100000 1
0.5%
3110000 1
0.5%
3120000 1
0.5%
3140000 1
0.5%
ValueCountFrequency (%)
6440000 16
8.6%
6310000 10
5.3%
6300000 1
 
0.5%
6290000 1
 
0.5%
6280000 7
3.7%
5710000 1
 
0.5%
5700000 1
 
0.5%
5680000 1
 
0.5%
5600000 1
 
0.5%
5590000 1
 
0.5%

제공기관명
Text

Distinct133
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T21:41:16.942179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length7.3957219
Min length4

Characters and Unicode

Total characters1383
Distinct characters109
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

Unique116 ?
Unique (%)62.0%

Sample

1st row전라남도 강진군
2nd row대구광역시 수성구
3rd row충청남도 공주시
4th row경기도 광주시
5th row인천광역시 강화군
ValueCountFrequency (%)
울산광역시 27
 
8.0%
충청남도 24
 
7.1%
경기도 22
 
6.5%
인천광역시 18
 
5.3%
서울특별시 17
 
5.0%
경상북도 13
 
3.8%
강원도 13
 
3.8%
경상남도 12
 
3.5%
전라남도 12
 
3.5%
부산광역시 10
 
2.9%
Other values (125) 171
50.4%
2023-12-12T21:41:17.801779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
152
 
11.0%
시 134
 
9.7%
도 111
 
8.0%
광 65
 
4.7%
역 62
 
4.5%
남 60
 
4.3%
구 59
 
4.3%
경 51
 
3.7%
울 50
 
3.6%
군 48
 
3.5%
Other values (99) 591
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1231
89.0%
Space Separator 152
 
11.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 134
 
10.9%
도 111
 
9.0%
광 65
 
5.3%
역 62
 
5.0%
남 60
 
4.9%
구 59
 
4.8%
경 51
 
4.1%
울 50
 
4.1%
군 48
 
3.9%
산 48
 
3.9%
Other values (98) 543
44.1%
Space Separator
ValueCountFrequency (%)
152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1231
89.0%
Common 152
 
11.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 134
 
10.9%
도 111
 
9.0%
광 65
 
5.3%
역 62
 
5.0%
남 60
 
4.9%
구 59
 
4.8%
경 51
 
4.1%
울 50
 
4.1%
군 48
 
3.9%
산 48
 
3.9%
Other values (98) 543
44.1%
Common
ValueCountFrequency (%)
152
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1231
89.0%
ASCII 152
 
11.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
152
100.0%
Hangul
ValueCountFrequency (%)
시 134
 
10.9%
도 111
 
9.0%
광 65
 
5.3%
역 62
 
5.0%
남 60
 
4.9%
구 59
 
4.8%
경 51
 
4.1%
울 50
 
4.1%
군 48
 
3.9%
산 48
 
3.9%
Other values (98) 543
44.1%

Sample

동물보호센터명관리기관명동물보호센터유형구조대상동물소재지도로명주소소재지지번주소위도경도동물보호센터지정일자평일운영시작시각평일운영종료시각평일분양시작시각평일분양종료시각주말운영시작시각주말운영종료시각주말분양시작시각주말분양종료시각휴무일수의사인원수사양관리사인원수진료실수사육실수격리실수사료보관실수구조운반용차량보유대수전화번호데이터기준일자제공기관코드제공기관명
0강진군유기견보호소강진군청법인개전라남도 강진군 강진읍 초지길 109-62전라남도 강진군 강진읍 목리 46734.624811126.7773882020-01-0109:0018:0009:0018:00<NA><NA><NA><NA>주말,공휴일1108100061-430-36132020-04-134920000전라남도 강진군
1수성구유기동물보호센터대구시수의사회법인개,고양이,기타반려동물대구광역시 북구 호국로 229대구광역시 북구 서변동 1783-335.922372128.5990292017-01-0109:0018:0009:0018:00<NA><NA><NA><NA>국정공휴일663343632053-764-37082020-03-233460000대구광역시 수성구
2강북동물병원공주시청개인반려동물충청남도 공주시 신관동 번영1로 54충청남도 공주시 신관동 642-136.47231127.1343232017-02-2810:0019:0010:0019:00<NA><NA><NA><NA>일요일,공휴일1111111041-856-99002020-03-254500000충청남도 공주시
3죽전TNR동물병원경기도 광주시청동물병원개+고양이경기도 광주시 경안천로 144 1층경기도 광주시 경안천로 144 1층37.330849127.1512672018-02-0110:0019:0010:0019:0010:0017:0010:0017:00일요일+공휴일1214121031-322-75862020-03-255540000경기도 광주시
4베스트동물병원강화군청동물병원유기동물인천광역시 강화군 강화읍 강화대로 217인천광역시 강화군 강화읍 갑곳리 519-237.73968126.5054322018-12-2810:0020:0010:0020:0010:0013:0010:0013:00자율1113111032-934-93402019-09-203570000인천광역시 강화군
5고성군임시보호소고성군청개인개<NA>강원도 고성군 죽왕면 가진리 460번지38.369034128.4935272018-07-0209:0018:0009:0018:0000:0000:0000:0000:00공휴일0102111033-680-37232019-09-174340000강원도 고성군
6부산동물보호센터경상남도 김해시청단체유기동물부산광역시 강서구 군라2길 206부산광역시 강서구 대저2동 5443-1435.134565128.9282492017-01-0109:0018:0013:0017:0011:0012:3011:0012:30일요일, 공휴일1517232051-832-71192019-06-245350000경상남도 김해시
7(사)대구광역시수의사회대구광역시 중구청동물병원개+고양이+피학대 동물대구광역시 북구 호국로 229대구광역시 북구 서변동 1783-335.922346128.5990392019-01-0109:0018:00<NA><NA>09:0018:00<NA><NA>없음72530547053-764-37082019-06-183410000대구광역시 중구
8한국동물구조관리협회의정부시청법인개경기도 양주시 남면 감악산로 63-37경기도 양주시 남면 상수리 410-1번지37.870116126.9835432013-12-2409:0018:0009:0018:00<NA><NA><NA><NA>공휴일1717116031-867-91192020-03-013820000경기도 의정부시
9베스트동물병원인천광역시 강화군동물병원개, 고양이, 염소, 돼지인천광역시 강화군 강화읍 강화대로 217인천광역시 강화군 강화읍 갑곳리 519-237.73968126.5054322019-01-0109:0022:0009:0022:0009:0018:0009:0018:00일요일1113111032-934-93402019-09-096280000인천광역시
동물보호센터명관리기관명동물보호센터유형구조대상동물소재지도로명주소소재지지번주소위도경도동물보호센터지정일자평일운영시작시각평일운영종료시각평일분양시작시각평일분양종료시각주말운영시작시각주말운영종료시각주말분양시작시각주말분양종료시각휴무일수의사인원수사양관리사인원수진료실수사육실수격리실수사료보관실수구조운반용차량보유대수전화번호데이터기준일자제공기관코드제공기관명
177성일동물병원철원군동물병원개 고양이강원도 철원군 동송읍 금학로 240-1강원도 철원군 동송읍 이평리 853-3838.209944127.2172652018-01-0109:0018:0009:0018:0009:0018:0009:0018:00공휴일1111111033-450-89052020-09-214300000강원도 철원군
178인천수의사회 유기동물보호소인천수의사회법인「동물보호법」에 따른 유실·유기동물인천광역시 계양구 다남로165번길 56(다남동)<NA>37.566239126.719632006-10-1809:0018:00<NA><NA>09:0013:00<NA><NA>연중무휴13<NA><NA><NA><NA><NA>032-515-75672020-09-093520000인천광역시 연수구
179인천수의사회 유기동물보호소인천수의사회법인「동물보호법」에 따른 유실·유기동물인천광역시 계양구 다남로165번길 56(다남동)<NA>37.566239126.719632006-10-1809:0018:00<NA><NA>09:0013:00<NA><NA>연중무휴13<NA><NA><NA><NA><NA>032-515-75672020-09-093520000인천광역시 연수구
180한국동물구조관리협회경기도 양주시청법인개+고양이+야생동물경기도 양주시 감악산로63-37경기도 양주시 남면 상수리 410-137.870116126.9835432019-12-1609:0018:0009:0017:0009:0017:0009:0016:00공휴일+일요일28183014031-867-91192020-09-163030000서울특별시 성동구
181경동동물병원농수산과동물병원개+고양이+기타인천광역시 중구 개항로 68<NA>37.471909126.6299452019-12-3009:0018:0010:0017:0009:0018:00<NA><NA>연중무휴1112112032-765-99882020-09-103490000인천광역시 중구
182신공항동물병원농수산과동물병원개+고양이+기타인천광역시 중구 운중로 33<NA>37.493607126.5371852019-12-3009:0018:0010:0017:0009:0018:00<NA><NA>연중무휴1112121032-751-45982020-09-103490000인천광역시 중구
183천안시 유기동물보호소천안시단체개+고양이충청남도 천안시 동남구 목천읍 교천2길 73-1충청남도 천안시 동남구 목천읍 교천리 71-236.782453127.2042332020-01-1609:0018:0009:0018:0009:0018:0009:0018:00연중무휴11014111041-552-21192020-08-306440000충청남도
184이기영수의과병원공주시동물병원개+고양이+기타충청남도 공주시 감영길 7충청남도 공주시 반죽동 194-336.452885127.1220632019-03-0112:0000:0009:0018:0012:0000:0009:0016:00연중무휴1421123041-853-75752020-03-196440000충청남도
185임시동물보호소보령시농업기술센터개인개, 고양이, 염소 등 유기동물충청남도 보령시 녹문3길 7충청남도 보령시 내항동 139-336.332581126.5882242012-01-0109:0018:0009:0018:0009:0018:0009:0018:00없음1112111041-930-79242020-03-196440000충청남도
186아산시 동물보호센터아산시동물병원개+고양이+염소등 유기동물충청남도 아산시 염치읍 충무로 295-9충청남도 아산시 염치읍 석정리 99-2136.806897127.0048192020-01-0109:0018:0009:0012:0009:0018:0009:0012:00없음1411112041-537-38312020-08-306440000충청남도

Duplicate rows

Most frequently occurring

동물보호센터명관리기관명동물보호센터유형구조대상동물소재지도로명주소소재지지번주소위도경도동물보호센터지정일자평일운영시작시각평일운영종료시각평일분양시작시각평일분양종료시각주말운영시작시각주말운영종료시각주말분양시작시각주말분양종료시각휴무일수의사인원수사양관리사인원수진료실수사육실수격리실수사료보관실수구조운반용차량보유대수전화번호데이터기준일자제공기관코드제공기관명# duplicates
0인천수의사회 유기동물보호소인천수의사회법인「동물보호법」에 따른 유실·유기동물인천광역시 계양구 다남로165번길 56(다남동)<NA>37.566239126.719632006-10-1809:0018:00<NA><NA>09:0013:00<NA><NA>연중무휴13<NA><NA><NA><NA><NA>032-515-75672020-09-093520000인천광역시 연수구2