Overview

Dataset statistics

Number of variables29
Number of observations59
Missing cells210
Missing cells (%)12.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.3 KiB
Average record size in memory248.2 B

Variable types

Text10
Numeric10
Categorical7
DateTime2

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실) 각 기관에서 등록한 표준데이터를 취합하여 제공하기 때문에 갱신주기는 개별 파일마다 다릅니다.(기관에서 등록한 데이터를 취합한 것으로 개별 파일별 갱신시점이 다름)
Author환경부, 해양수산부, 지방자치단체
URLhttps://www.data.go.kr/data/15025453/standard.do

Alerts

운영시작시각 is highly imbalanced (50.6%)Imbalance
소재지도로명주소 has 2 (3.4%) missing valuesMissing
소재지지번주소 has 13 (22.0%) missing valuesMissing
야생동물구조센터면적 has 18 (30.5%) missing valuesMissing
진료실수 has 16 (27.1%) missing valuesMissing
입원실수 has 16 (27.1%) missing valuesMissing
재활실수 has 19 (32.2%) missing valuesMissing
격리실수 has 17 (28.8%) missing valuesMissing
운반상자현황 has 23 (39.0%) missing valuesMissing
포획장비현황 has 26 (44.1%) missing valuesMissing
진료장비현황 has 28 (47.5%) missing valuesMissing
구조센터기능 has 23 (39.0%) missing valuesMissing
대표자명 has 9 (15.3%) missing valuesMissing
야생동물구조센터면적 has 2 (3.4%) zerosZeros
수의사인원수 has 7 (11.9%) zerosZeros
질병연구자인원수 has 23 (39.0%) zerosZeros
진료실수 has 7 (11.9%) zerosZeros
입원실수 has 9 (15.3%) zerosZeros
재활실수 has 18 (30.5%) zerosZeros
격리실수 has 13 (22.0%) zerosZeros

Reproduction

Analysis started2024-05-11 10:05:19.951256
Analysis finished2024-05-11 10:05:21.681734
Duration1.73 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

야생동물구조센터명
Text

Distinct51
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
2024-05-11T10:05:22.002000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length16
Mean length10.949153
Min length5

Characters and Unicode

Total characters646
Distinct characters113
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)74.6%

Sample

1st row(사)야생생물관리협회 영월지회
2nd row서울시 야생동물 구조관리센터
3rd row다오동물병원
4th row인천야생동물구조관리센터
5th row(사)야생생물관리협회 원주지회
ValueCountFrequency (%)
야생동물 4
 
4.8%
사)야생생물관리협회 4
 
4.8%
충남야생동물구조센터 3
 
3.6%
아쿠아플라넷 3
 
3.6%
서울시 3
 
3.6%
야생동물구조센터 2
 
2.4%
홍천군 2
 
2.4%
강원대학교 2
 
2.4%
임시보호시설 2
 
2.4%
영월지회 2
 
2.4%
Other values (53) 57
67.9%
2024-05-11T10:05:22.967823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
물 46
 
7.1%
동 42
 
6.5%
생 38
 
5.9%
야 30
 
4.6%
터 26
 
4.0%
센 25
 
3.9%
25
 
3.9%
구 23
 
3.6%
원 22
 
3.4%
리 22
 
3.4%
Other values (103) 347
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 599
92.7%
Space Separator 25
 
3.9%
Close Punctuation 7
 
1.1%
Open Punctuation 7
 
1.1%
Uppercase Letter 7
 
1.1%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
물 46
 
7.7%
동 42
 
7.0%
생 38
 
6.3%
야 30
 
5.0%
터 26
 
4.3%
센 25
 
4.2%
구 23
 
3.8%
원 22
 
3.7%
리 22
 
3.7%
조 21
 
3.5%
Other values (93) 304
50.8%
Uppercase Letter
ValueCountFrequency (%)
E 2
28.6%
S 1
14.3%
A 1
14.3%
L 1
14.3%
I 1
14.3%
F 1
14.3%
Space Separator
ValueCountFrequency (%)
25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 600
92.9%
Common 39
 
6.0%
Latin 7
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
물 46
 
7.7%
동 42
 
7.0%
생 38
 
6.3%
야 30
 
5.0%
터 26
 
4.3%
센 25
 
4.2%
구 23
 
3.8%
원 22
 
3.7%
리 22
 
3.7%
조 21
 
3.5%
Other values (94) 305
50.8%
Latin
ValueCountFrequency (%)
E 2
28.6%
S 1
14.3%
A 1
14.3%
L 1
14.3%
I 1
14.3%
F 1
14.3%
Common
ValueCountFrequency (%)
25
64.1%
) 7
 
17.9%
( 7
 
17.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 599
92.7%
ASCII 46
 
7.1%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
물 46
 
7.7%
동 42
 
7.0%
생 38
 
6.3%
야 30
 
5.0%
터 26
 
4.3%
센 25
 
4.2%
구 23
 
3.8%
원 22
 
3.7%
리 22
 
3.7%
조 21
 
3.5%
Other values (93) 304
50.8%
ASCII
ValueCountFrequency (%)
25
54.3%
) 7
 
15.2%
( 7
 
15.2%
E 2
 
4.3%
S 1
 
2.2%
A 1
 
2.2%
L 1
 
2.2%
I 1
 
2.2%
F 1
 
2.2%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지도로명주소
Text

MISSING 

Distinct52
Distinct (%)91.2%
Missing2
Missing (%)3.4%
Memory size604.0 B
2024-05-11T10:05:23.666614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length26
Mean length20.807018
Min length14

Characters and Unicode

Total characters1186
Distinct characters149
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

Unique47 ?
Unique (%)82.5%

Sample

1st row강원도 영월군 북면 영월로 1339-43
2nd row서울특별시 관악구 관악로1(신림동, 서울대학교 수의과대학 야생동물센터)
3rd row인천광역시 계양구 계산새로 71
4th row인천광역시 연수구 송도국제대로372번길 21
5th row강원도 원주시 원일로 159
ValueCountFrequency (%)
경기도 10
 
3.8%
경상북도 7
 
2.7%
강원도 6
 
2.3%
서울특별시 6
 
2.3%
1 4
 
1.5%
대학로 4
 
1.5%
경상남도 4
 
1.5%
관악구 4
 
1.5%
충청남도 4
 
1.5%
전라남도 3
 
1.2%
Other values (169) 208
80.0%
2024-05-11T10:05:24.811097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
203
 
17.1%
로 49
 
4.1%
도 46
 
3.9%
1 46
 
3.9%
시 45
 
3.8%
2 26
 
2.2%
대 25
 
2.1%
구 25
 
2.1%
경 24
 
2.0%
산 22
 
1.9%
Other values (139) 675
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 774
65.3%
Space Separator 203
 
17.1%
Decimal Number 187
 
15.8%
Dash Punctuation 14
 
1.2%
Open Punctuation 3
 
0.3%
Close Punctuation 3
 
0.3%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 49
 
6.3%
도 46
 
5.9%
시 45
 
5.8%
대 25
 
3.2%
구 25
 
3.2%
경 24
 
3.1%
산 22
 
2.8%
남 18
 
2.3%
원 16
 
2.1%
주 15
 
1.9%
Other values (124) 489
63.2%
Decimal Number
ValueCountFrequency (%)
1 46
24.6%
2 26
13.9%
3 21
11.2%
5 17
 
9.1%
4 17
 
9.1%
6 16
 
8.6%
9 14
 
7.5%
7 14
 
7.5%
0 12
 
6.4%
8 4
 
2.1%
Space Separator
ValueCountFrequency (%)
203
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 774
65.3%
Common 412
34.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 49
 
6.3%
도 46
 
5.9%
시 45
 
5.8%
대 25
 
3.2%
구 25
 
3.2%
경 24
 
3.1%
산 22
 
2.8%
남 18
 
2.3%
원 16
 
2.1%
주 15
 
1.9%
Other values (124) 489
63.2%
Common
ValueCountFrequency (%)
203
49.3%
1 46
 
11.2%
2 26
 
6.3%
3 21
 
5.1%
5 17
 
4.1%
4 17
 
4.1%
6 16
 
3.9%
9 14
 
3.4%
7 14
 
3.4%
- 14
 
3.4%
Other values (5) 24
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 774
65.3%
ASCII 412
34.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
203
49.3%
1 46
 
11.2%
2 26
 
6.3%
3 21
 
5.1%
5 17
 
4.1%
4 17
 
4.1%
6 16
 
3.9%
9 14
 
3.4%
7 14
 
3.4%
- 14
 
3.4%
Other values (5) 24
 
5.8%
Hangul
ValueCountFrequency (%)
로 49
 
6.3%
도 46
 
5.9%
시 45
 
5.8%
대 25
 
3.2%
구 25
 
3.2%
경 24
 
3.1%
산 22
 
2.8%
남 18
 
2.3%
원 16
 
2.1%
주 15
 
1.9%
Other values (124) 489
63.2%

소재지지번주소
Text

MISSING 

Distinct40
Distinct (%)87.0%
Missing13
Missing (%)22.0%
Memory size604.0 B
2024-05-11T10:05:25.600530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length26
Mean length21.021739
Min length16

Characters and Unicode

Total characters967
Distinct characters125
Distinct categories8 ?
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 (%)73.9%

Sample

1st row강원도 영월군 북면 문곡리 541
2nd row서울특별시 관악구 신림동 산56-1(서울대학교 수의과대학 야생동물센터)
3rd row인천광역시 계양구 계산동 1062, 하이베라스 D동 213호
4th row인천광역시 연수구 송도동 13-20
5th row강원도 원주시 일산동 226-2
ValueCountFrequency (%)
경기도 8
 
3.7%
강원도 5
 
2.3%
경상북도 5
 
2.3%
강원특별자치도 4
 
1.9%
충청남도 4
 
1.9%
인천광역시 3
 
1.4%
예산읍 3
 
1.4%
북면 3
 
1.4%
서울특별시 3
 
1.4%
경상남도 3
 
1.4%
Other values (137) 174
80.9%
2024-05-11T10:05:26.988233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
169
 
17.5%
1 41
 
4.2%
도 39
 
4.0%
2 36
 
3.7%
동 33
 
3.4%
시 32
 
3.3%
- 30
 
3.1%
산 21
 
2.2%
리 21
 
2.2%
구 18
 
1.9%
Other values (115) 527
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 588
60.8%
Decimal Number 174
 
18.0%
Space Separator 169
 
17.5%
Dash Punctuation 30
 
3.1%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%
Uppercase Letter 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 39
 
6.6%
동 33
 
5.6%
시 32
 
5.4%
산 21
 
3.6%
리 21
 
3.6%
구 18
 
3.1%
경 17
 
2.9%
원 15
 
2.6%
남 14
 
2.4%
군 14
 
2.4%
Other values (99) 364
61.9%
Decimal Number
ValueCountFrequency (%)
1 41
23.6%
2 36
20.7%
0 18
10.3%
4 17
9.8%
5 14
 
8.0%
3 12
 
6.9%
7 11
 
6.3%
6 10
 
5.7%
9 9
 
5.2%
8 6
 
3.4%
Space Separator
ValueCountFrequency (%)
169
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 588
60.8%
Common 378
39.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 39
 
6.6%
동 33
 
5.6%
시 32
 
5.4%
산 21
 
3.6%
리 21
 
3.6%
구 18
 
3.1%
경 17
 
2.9%
원 15
 
2.6%
남 14
 
2.4%
군 14
 
2.4%
Other values (99) 364
61.9%
Common
ValueCountFrequency (%)
169
44.7%
1 41
 
10.8%
2 36
 
9.5%
- 30
 
7.9%
0 18
 
4.8%
4 17
 
4.5%
5 14
 
3.7%
3 12
 
3.2%
7 11
 
2.9%
6 10
 
2.6%
Other values (5) 20
 
5.3%
Latin
ValueCountFrequency (%)
D 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 588
60.8%
ASCII 379
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
169
44.6%
1 41
 
10.8%
2 36
 
9.5%
- 30
 
7.9%
0 18
 
4.7%
4 17
 
4.5%
5 14
 
3.7%
3 12
 
3.2%
7 11
 
2.9%
6 10
 
2.6%
Other values (6) 21
 
5.5%
Hangul
ValueCountFrequency (%)
도 39
 
6.6%
동 33
 
5.6%
시 32
 
5.4%
산 21
 
3.6%
리 21
 
3.6%
구 18
 
3.1%
경 17
 
2.9%
원 15
 
2.6%
남 14
 
2.4%
군 14
 
2.4%
Other values (99) 364
61.9%

위도
Real number (ℝ)

Distinct53
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.579218
Minimum33.432977
Maximum38.200247
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T10:05:27.622330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.432977
5-th percentile34.875804
Q135.873082
median36.706244
Q337.496451
95-th percentile37.870116
Maximum38.200247
Range4.7672701
Interquartile range (IQR)1.6233694

Descriptive statistics

Standard deviation1.1634493
Coefficient of variation (CV)0.031806293
Kurtosis-0.12210914
Mean36.579218
Median Absolute Deviation (MAD)0.80750756
Skewness-0.7639365
Sum2158.1739
Variance1.3536143
MonotonicityNot monotonic
2024-05-11T10:05:28.311820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.218745 2
 
3.4%
37.87011581 2
 
3.4%
37.352544 2
 
3.4%
36.66988681 2
 
3.4%
35.94245239 2
 
3.4%
37.46803851 2
 
3.4%
35.15919963 1
 
1.7%
35.50273814 1
 
1.7%
33.43297686 1
 
1.7%
34.74626041 1
 
1.7%
Other values (43) 43
72.9%
ValueCountFrequency (%)
33.43297686 1
1.7%
33.4437015 1
1.7%
34.74626041 1
1.7%
34.89019742 1
1.7%
35.07856617 1
1.7%
35.10257021 1
1.7%
35.10581585 1
1.7%
35.15671511 1
1.7%
35.15919963 1
1.7%
35.16225673 1
1.7%
ValueCountFrequency (%)
38.200247 1
1.7%
38.0021695522 1
1.7%
37.87011581 2
3.4%
37.8680243076 1
1.7%
37.868024 1
1.7%
37.79003649 1
1.7%
37.70629839 1
1.7%
37.706298 1
1.7%
37.66383701 1
1.7%
37.60064391 1
1.7%

경도
Real number (ℝ)

Distinct53
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.69558
Minimum126.5647
Maximum129.38079
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T10:05:28.855719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.5647
5-th percentile126.71196
Q1126.9593
median127.49047
Q3128.41413
95-th percentile129.08833
Maximum129.38079
Range2.8160843
Interquartile range (IQR)1.4548365

Descriptive statistics

Standard deviation0.83804695
Coefficient of variation (CV)0.0065628498
Kurtosis-1.1776212
Mean127.69558
Median Absolute Deviation (MAD)0.62759392
Skewness0.44448901
Sum7534.0395
Variance0.70232268
MonotonicityNot monotonic
2024-05-11T10:05:29.437821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.4313738 2
 
3.4%
126.9835431 2
 
3.4%
127.946356 2
 
3.4%
126.859415 2
 
3.4%
126.9599065 2
 
3.4%
126.959296 2
 
3.4%
129.1610038 1
 
1.7%
129.3807886 1
 
1.7%
126.9277955 1
 
1.7%
127.7487115 1
 
1.7%
Other values (43) 43
72.9%
ValueCountFrequency (%)
126.5647043 1
1.7%
126.6385425 1
1.7%
126.638555 1
1.7%
126.7201124568 1
1.7%
126.735817 1
1.7%
126.7556101 1
1.7%
126.8434511 1
1.7%
126.859415 2
3.4%
126.8628787 1
1.7%
126.9277955 1
1.7%
ValueCountFrequency (%)
129.3807886 1
1.7%
129.3654012272 1
1.7%
129.1610038 1
1.7%
129.0802497 1
1.7%
128.9431594 1
1.7%
128.9412421 1
1.7%
128.9078757 1
1.7%
128.8264176 1
1.7%
128.7947602 1
1.7%
128.768556074 1
1.7%

운영시작시각
Categorical

IMBALANCE 

Distinct7
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size604.0 B
09:00
43 
00:00
8 
10:00
 
4
09:30
 
1
06:00
 
1
Other values (2)
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique4 ?
Unique (%)6.8%

Sample

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

Common Values

ValueCountFrequency (%)
09:00 43
72.9%
00:00 8
 
13.6%
10:00 4
 
6.8%
09:30 1
 
1.7%
06:00 1
 
1.7%
10:30 1
 
1.7%
08:30 1
 
1.7%

Length

2024-05-11T10:05:29.944829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:05:30.279042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00 43
72.9%
00:00 8
 
13.6%
10:00 4
 
6.8%
09:30 1
 
1.7%
06:00 1
 
1.7%
10:30 1
 
1.7%
08:30 1
 
1.7%

운영종료시각
Categorical

Distinct9
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Memory size604.0 B
18:00
36 
23:59
8 
00:00
 
3
20:00
 
3
19:00
 
3
Other values (4)
6 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique3 ?
Unique (%)5.1%

Sample

1st row18:00
2nd row18:00
3rd row18:00
4th row18:00
5th row00:00

Common Values

ValueCountFrequency (%)
18:00 36
61.0%
23:59 8
 
13.6%
00:00 3
 
5.1%
20:00 3
 
5.1%
19:00 3
 
5.1%
22:00 3
 
5.1%
18:30 1
 
1.7%
19:30 1
 
1.7%
08:00 1
 
1.7%

Length

2024-05-11T10:05:30.886245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:05:31.281527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18:00 36
61.0%
23:59 8
 
13.6%
00:00 3
 
5.1%
20:00 3
 
5.1%
19:00 3
 
5.1%
22:00 3
 
5.1%
18:30 1
 
1.7%
19:30 1
 
1.7%
08:00 1
 
1.7%

휴무일
Categorical

Distinct17
Distinct (%)28.8%
Missing0
Missing (%)0.0%
Memory size604.0 B
연중무휴
32 
토요일+일요일+공휴일
5 
일요일+공휴일
4 
일+공휴일
 
3
토 + 일
 
2
Other values (12)
13 

Length

Max length21
Median length4
Mean length5.8644068
Min length1

Unique

Unique11 ?
Unique (%)18.6%

Sample

1st row토 + 일
2nd row연중무휴
3rd row일+공휴일
4th row토+일+공휴일
5th row연중무휴

Common Values

ValueCountFrequency (%)
연중무휴 32
54.2%
토요일+일요일+공휴일 5
 
8.5%
일요일+공휴일 4
 
6.8%
일+공휴일 3
 
5.1%
토 + 일 2
 
3.4%
토+일+공휴일 2
 
3.4%
매주 일요일 1
 
1.7%
일 1
 
1.7%
연중무휴(주말 당직자 근무) 1
 
1.7%
공휴일 1
 
1.7%
Other values (7) 7
 
11.9%

Length

2024-05-11T10:05:31.802724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
연중무휴 32
47.1%
토요일+일요일+공휴일 5
 
7.4%
일요일+공휴일 4
 
5.9%
일+공휴일 3
 
4.4%
일 3
 
4.4%
토 2
 
2.9%
2
 
2.9%
토+일+공휴일 2
 
2.9%
일요일 2
 
2.9%
관람만 1
 
1.5%
Other values (12) 12
 
17.6%

야생동물구조센터지정일자
Date

Distinct42
Distinct (%)71.2%
Missing0
Missing (%)0.0%
Memory size604.0 B
Minimum1996-01-01 00:00:00
Maximum2023-07-01 00:00:00
2024-05-11T10:05:32.205650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:05:32.594013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

야생동물구조센터면적
Real number (ℝ)

MISSING  ZEROS 

Distinct35
Distinct (%)85.4%
Missing18
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean41461.21
Minimum0
Maximum1504958
Zeros2
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T10:05:33.009748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46
Q1110
median576
Q31639.43
95-th percentile25893
Maximum1504958
Range1504958
Interquartile range (IQR)1529.43

Descriptive statistics

Standard deviation234696.31
Coefficient of variation (CV)5.6606238
Kurtosis40.68256
Mean41461.21
Median Absolute Deviation (MAD)480.44
Skewness6.3679235
Sum1699909.6
Variance5.5082358 × 1010
MonotonicityNot monotonic
2024-05-11T10:05:33.665133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
397.0 2
 
3.4%
450.0 2
 
3.4%
0.0 2
 
3.4%
110.0 2
 
3.4%
1044.96 2
 
3.4%
95.56 2
 
3.4%
376.2 1
 
1.7%
1504958.0 1
 
1.7%
6103.0 1
 
1.7%
8614.0 1
 
1.7%
Other values (25) 25
42.4%
(Missing) 18
30.5%
ValueCountFrequency (%)
0.0 2
3.4%
46.0 1
1.7%
60.0 1
1.7%
71.68 1
1.7%
82.0 1
1.7%
85.0 1
1.7%
95.56 2
3.4%
99.1735 1
1.7%
110.0 2
3.4%
115.7 1
1.7%
ValueCountFrequency (%)
1504958.0 1
1.7%
85522.0 1
1.7%
25893.0 1
1.7%
16400.0 1
1.7%
15970.0 1
1.7%
14600.0 1
1.7%
8614.0 1
1.7%
6103.0 1
1.7%
4665.0 1
1.7%
3000.0 1
1.7%

수의사인원수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.779661
Minimum0
Maximum7
Zeros7
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T10:05:34.327672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4.1
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4392023
Coefficient of variation (CV)0.80869464
Kurtosis2.7997805
Mean1.779661
Median Absolute Deviation (MAD)1
Skewness1.4789579
Sum105
Variance2.0713033
MonotonicityNot monotonic
2024-05-11T10:05:34.882626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 25
42.4%
2 13
22.0%
3 8
 
13.6%
0 7
 
11.9%
4 3
 
5.1%
7 1
 
1.7%
5 1
 
1.7%
6 1
 
1.7%
ValueCountFrequency (%)
0 7
 
11.9%
1 25
42.4%
2 13
22.0%
3 8
 
13.6%
4 3
 
5.1%
5 1
 
1.7%
6 1
 
1.7%
7 1
 
1.7%
ValueCountFrequency (%)
7 1
 
1.7%
6 1
 
1.7%
5 1
 
1.7%
4 3
 
5.1%
3 8
 
13.6%
2 13
22.0%
1 25
42.4%
0 7
 
11.9%

질병연구자인원수
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4745763
Minimum0
Maximum19
Zeros23
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T10:05:35.388789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile9.7
Maximum19
Range19
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.0273031
Coefficient of variation (CV)1.6274718
Kurtosis7.4424054
Mean2.4745763
Median Absolute Deviation (MAD)1
Skewness2.6546697
Sum146
Variance16.21917
MonotonicityNot monotonic
2024-05-11T10:05:35.966642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 23
39.0%
1 12
20.3%
2 7
 
11.9%
3 4
 
6.8%
5 3
 
5.1%
4 3
 
5.1%
16 2
 
3.4%
6 1
 
1.7%
7 1
 
1.7%
19 1
 
1.7%
Other values (2) 2
 
3.4%
ValueCountFrequency (%)
0 23
39.0%
1 12
20.3%
2 7
 
11.9%
3 4
 
6.8%
4 3
 
5.1%
5 3
 
5.1%
6 1
 
1.7%
7 1
 
1.7%
8 1
 
1.7%
9 1
 
1.7%
ValueCountFrequency (%)
19 1
 
1.7%
16 2
 
3.4%
9 1
 
1.7%
8 1
 
1.7%
7 1
 
1.7%
6 1
 
1.7%
5 3
5.1%
4 3
5.1%
3 4
6.8%
2 7
11.9%

진료실수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)14.0%
Missing16
Missing (%)27.1%
Infinite0
Infinite (%)0.0%
Mean1.372093
Minimum0
Maximum8
Zeros7
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T10:05:36.364703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile3.9
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.6622311
Coefficient of variation (CV)1.2114566
Kurtosis10.950136
Mean1.372093
Median Absolute Deviation (MAD)0
Skewness3.1874241
Sum59
Variance2.7630122
MonotonicityNot monotonic
2024-05-11T10:05:36.728837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 28
47.5%
0 7
 
11.9%
2 4
 
6.8%
8 2
 
3.4%
3 1
 
1.7%
4 1
 
1.7%
(Missing) 16
27.1%
ValueCountFrequency (%)
0 7
 
11.9%
1 28
47.5%
2 4
 
6.8%
3 1
 
1.7%
4 1
 
1.7%
8 2
 
3.4%
ValueCountFrequency (%)
8 2
 
3.4%
4 1
 
1.7%
3 1
 
1.7%
2 4
 
6.8%
1 28
47.5%
0 7
 
11.9%

수술실수
Categorical

Distinct4
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size604.0 B
1
31 
<NA>
16 
0
9 
2
 
3

Length

Max length4
Median length1
Mean length1.8135593
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
1 31
52.5%
<NA> 16
27.1%
0 9
 
15.3%
2 3
 
5.1%

Length

2024-05-11T10:05:37.217856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:05:37.710521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 31
52.5%
na 16
27.1%
0 9
 
15.3%
2 3
 
5.1%

영상진단실수
Categorical

Distinct4
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size604.0 B
1
26 
<NA>
18 
0
13 
2
 
2

Length

Max length4
Median length1
Mean length1.9152542
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
1 26
44.1%
<NA> 18
30.5%
0 13
22.0%
2 2
 
3.4%

Length

2024-05-11T10:05:38.105091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:05:38.467921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 26
44.1%
na 18
30.5%
0 13
22.0%
2 2
 
3.4%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)32.6%
Missing16
Missing (%)27.1%
Infinite0
Infinite (%)0.0%
Mean5.8372093
Minimum0
Maximum32
Zeros9
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T10:05:38.837709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q36
95-th percentile29.1
Maximum32
Range32
Interquartile range (IQR)5

Descriptive statistics

Standard deviation8.6242466
Coefficient of variation (CV)1.4774606
Kurtosis3.5934008
Mean5.8372093
Median Absolute Deviation (MAD)2
Skewness2.0671539
Sum251
Variance74.37763
MonotonicityNot monotonic
2024-05-11T10:05:39.220809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 9
15.3%
1 9
15.3%
2 4
 
6.8%
4 4
 
6.8%
3 4
 
6.8%
32 2
 
3.4%
8 2
 
3.4%
15 2
 
3.4%
6 2
 
3.4%
21 1
 
1.7%
Other values (4) 4
 
6.8%
(Missing) 16
27.1%
ValueCountFrequency (%)
0 9
15.3%
1 9
15.3%
2 4
6.8%
3 4
6.8%
4 4
6.8%
5 1
 
1.7%
6 2
 
3.4%
8 2
 
3.4%
12 1
 
1.7%
15 2
 
3.4%
ValueCountFrequency (%)
32 2
3.4%
30 1
 
1.7%
21 1
 
1.7%
16 1
 
1.7%
15 2
3.4%
12 1
 
1.7%
8 2
3.4%
6 2
3.4%
5 1
 
1.7%
4 4
6.8%

유전자원보관실수
Categorical

Distinct3
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
22 
1
19 
0
18 

Length

Max length4
Median length1
Mean length2.1186441
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
<NA> 22
37.3%
1 19
32.2%
0 18
30.5%

Length

2024-05-11T10:05:39.756920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:05:40.197659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
37.3%
1 19
32.2%
0 18
30.5%

재활실수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)20.0%
Missing19
Missing (%)32.2%
Infinite0
Infinite (%)0.0%
Mean4.225
Minimum0
Maximum23
Zeros18
Zeros (%)30.5%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T10:05:40.540556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34.25
95-th percentile23
Maximum23
Range23
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation7.2128358
Coefficient of variation (CV)1.7071801
Kurtosis2.3319358
Mean4.225
Median Absolute Deviation (MAD)1
Skewness1.9002459
Sum169
Variance52.025
MonotonicityNot monotonic
2024-05-11T10:05:41.060382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 18
30.5%
1 7
 
11.9%
9 3
 
5.1%
4 3
 
5.1%
23 3
 
5.1%
20 2
 
3.4%
2 2
 
3.4%
5 2
 
3.4%
(Missing) 19
32.2%
ValueCountFrequency (%)
0 18
30.5%
1 7
 
11.9%
2 2
 
3.4%
4 3
 
5.1%
5 2
 
3.4%
9 3
 
5.1%
20 2
 
3.4%
23 3
 
5.1%
ValueCountFrequency (%)
23 3
 
5.1%
20 2
 
3.4%
9 3
 
5.1%
5 2
 
3.4%
4 3
 
5.1%
2 2
 
3.4%
1 7
 
11.9%
0 18
30.5%

격리실수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)16.7%
Missing17
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean1.5238095
Minimum0
Maximum9
Zeros13
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T10:05:41.551437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31.75
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.9535845
Coefficient of variation (CV)1.2820398
Kurtosis4.6265109
Mean1.5238095
Median Absolute Deviation (MAD)1
Skewness2.0542945
Sum64
Variance3.8164925
MonotonicityNot monotonic
2024-05-11T10:05:41.973247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 18
30.5%
0 13
22.0%
3 4
 
6.8%
5 3
 
5.1%
2 2
 
3.4%
6 1
 
1.7%
9 1
 
1.7%
(Missing) 17
28.8%
ValueCountFrequency (%)
0 13
22.0%
1 18
30.5%
2 2
 
3.4%
3 4
 
6.8%
5 3
 
5.1%
6 1
 
1.7%
9 1
 
1.7%
ValueCountFrequency (%)
9 1
 
1.7%
6 1
 
1.7%
5 3
 
5.1%
3 4
 
6.8%
2 2
 
3.4%
1 18
30.5%
0 13
22.0%

구조차량대수
Categorical

Distinct6
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
16 
0
14 
1
14 
2
12 
8
2 

Length

Max length4
Median length1
Mean length1.8135593
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row0
2nd row2
3rd row0
4th row2
5th row0

Common Values

ValueCountFrequency (%)
<NA> 16
27.1%
0 14
23.7%
1 14
23.7%
2 12
20.3%
8 2
 
3.4%
3 1
 
1.7%

Length

2024-05-11T10:05:42.435160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:05:42.927107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
27.1%
0 14
23.7%
1 14
23.7%
2 12
20.3%
8 2
 
3.4%
3 1
 
1.7%

운반상자현황
Text

MISSING 

Distinct28
Distinct (%)77.8%
Missing23
Missing (%)39.0%
Memory size604.0 B
2024-05-11T10:05:43.478439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length29.5
Mean length12.444444
Min length1

Characters and Unicode

Total characters448
Distinct characters70
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

Unique22 ?
Unique (%)61.1%

Sample

1st row기타(10)
2nd row대형 6개 + 기타 12개
3rd row기타1개
4th row종이상자500개+케이지12개
5th row기타(10)
ValueCountFrequency (%)
기타(10 4
 
5.0%
1개 4
 
5.0%
기타 3
 
3.8%
특대형+대형+중형+중소형+소형 2
 
2.5%
5 2
 
2.5%
1 2
 
2.5%
10 2
 
2.5%
조류용 2
 
2.5%
0 2
 
2.5%
대형 2
 
2.5%
Other values (53) 55
68.8%
2024-05-11T10:05:44.449861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44
 
9.8%
+ 34
 
7.6%
1 33
 
7.4%
개 33
 
7.4%
0 27
 
6.0%
형 26
 
5.8%
대 17
 
3.8%
이 15
 
3.3%
소 14
 
3.1%
기 13
 
2.9%
Other values (60) 192
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 259
57.8%
Decimal Number 88
 
19.6%
Space Separator 44
 
9.8%
Math Symbol 34
 
7.6%
Close Punctuation 10
 
2.2%
Open Punctuation 10
 
2.2%
Other Punctuation 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 33
 
12.7%
형 26
 
10.0%
대 17
 
6.6%
이 15
 
5.8%
소 14
 
5.4%
기 13
 
5.0%
타 12
 
4.6%
중 9
 
3.5%
종 9
 
3.5%
류 9
 
3.5%
Other values (48) 102
39.4%
Decimal Number
ValueCountFrequency (%)
1 33
37.5%
0 27
30.7%
2 11
 
12.5%
4 7
 
8.0%
3 4
 
4.5%
5 4
 
4.5%
6 2
 
2.3%
Space Separator
ValueCountFrequency (%)
44
100.0%
Math Symbol
ValueCountFrequency (%)
+ 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 259
57.8%
Common 189
42.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 33
 
12.7%
형 26
 
10.0%
대 17
 
6.6%
이 15
 
5.8%
소 14
 
5.4%
기 13
 
5.0%
타 12
 
4.6%
중 9
 
3.5%
종 9
 
3.5%
류 9
 
3.5%
Other values (48) 102
39.4%
Common
ValueCountFrequency (%)
44
23.3%
+ 34
18.0%
1 33
17.5%
0 27
14.3%
2 11
 
5.8%
) 10
 
5.3%
( 10
 
5.3%
4 7
 
3.7%
3 4
 
2.1%
5 4
 
2.1%
Other values (2) 5
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 259
57.8%
ASCII 189
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44
23.3%
+ 34
18.0%
1 33
17.5%
0 27
14.3%
2 11
 
5.8%
) 10
 
5.3%
( 10
 
5.3%
4 7
 
3.7%
3 4
 
2.1%
5 4
 
2.1%
Other values (2) 5
 
2.6%
Hangul
ValueCountFrequency (%)
개 33
 
12.7%
형 26
 
10.0%
대 17
 
6.6%
이 15
 
5.8%
소 14
 
5.4%
기 13
 
5.0%
타 12
 
4.6%
중 9
 
3.5%
종 9
 
3.5%
류 9
 
3.5%
Other values (48) 102
39.4%

포획장비현황
Text

MISSING 

Distinct26
Distinct (%)78.8%
Missing26
Missing (%)44.1%
Memory size604.0 B
2024-05-11T10:05:45.016762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length184
Median length22
Mean length21.515152
Min length1

Characters and Unicode

Total characters710
Distinct characters135
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)57.6%

Sample

1st row케이지 대(1)
2nd row바닥깔개+고글+그물+마취총
3rd row그물망 15개+포획틀 3개+블로우건 1개
4th row케이지 대(6)+케이지 소(4)
5th row포획그물+그라스퍼 등(5종)
ValueCountFrequency (%)
등 6
 
5.7%
케이지 5
 
4.8%
포획망 5
 
4.8%
1개 4
 
3.8%
보드+포획그물 3
 
2.9%
1개+조류 2
 
1.9%
조류 2
 
1.9%
대(6)+케이지 2
 
1.9%
3개 2
 
1.9%
집게 2
 
1.9%
Other values (65) 72
68.6%
2024-05-11T10:05:45.872961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72
 
10.1%
+ 70
 
9.9%
개 34
 
4.8%
포 32
 
4.5%
획 25
 
3.5%
1 25
 
3.5%
그 17
 
2.4%
물 16
 
2.3%
0 15
 
2.1%
망 11
 
1.5%
Other values (125) 393
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 437
61.5%
Space Separator 72
 
10.1%
Decimal Number 71
 
10.0%
Math Symbol 70
 
9.9%
Uppercase Letter 19
 
2.7%
Other Punctuation 11
 
1.5%
Close Punctuation 10
 
1.4%
Open Punctuation 10
 
1.4%
Lowercase Letter 8
 
1.1%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 34
 
7.8%
포 32
 
7.3%
획 25
 
5.7%
그 17
 
3.9%
물 16
 
3.7%
망 11
 
2.5%
건 10
 
2.3%
게 10
 
2.3%
집 9
 
2.1%
대 9
 
2.1%
Other values (92) 264
60.4%
Uppercase Letter
ValueCountFrequency (%)
C 4
21.1%
S 3
15.8%
N 2
10.5%
D 2
10.5%
F 1
 
5.3%
R 1
 
5.3%
A 1
 
5.3%
X 1
 
5.3%
O 1
 
5.3%
V 1
 
5.3%
Other values (2) 2
10.5%
Decimal Number
ValueCountFrequency (%)
1 25
35.2%
0 15
21.1%
2 10
 
14.1%
3 8
 
11.3%
4 7
 
9.9%
5 2
 
2.8%
6 2
 
2.8%
9 1
 
1.4%
7 1
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
o 3
37.5%
n 2
25.0%
y 2
25.0%
c 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 8
72.7%
/ 2
 
18.2%
& 1
 
9.1%
Space Separator
ValueCountFrequency (%)
72
100.0%
Math Symbol
ValueCountFrequency (%)
+ 70
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 437
61.5%
Common 246
34.6%
Latin 27
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 34
 
7.8%
포 32
 
7.3%
획 25
 
5.7%
그 17
 
3.9%
물 16
 
3.7%
망 11
 
2.5%
건 10
 
2.3%
게 10
 
2.3%
집 9
 
2.1%
대 9
 
2.1%
Other values (92) 264
60.4%
Common
ValueCountFrequency (%)
72
29.3%
+ 70
28.5%
1 25
 
10.2%
0 15
 
6.1%
) 10
 
4.1%
( 10
 
4.1%
2 10
 
4.1%
3 8
 
3.3%
, 8
 
3.3%
4 7
 
2.8%
Other values (7) 11
 
4.5%
Latin
ValueCountFrequency (%)
C 4
14.8%
S 3
11.1%
o 3
11.1%
n 2
 
7.4%
y 2
 
7.4%
N 2
 
7.4%
D 2
 
7.4%
F 1
 
3.7%
R 1
 
3.7%
A 1
 
3.7%
Other values (6) 6
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 437
61.5%
ASCII 273
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
72
26.4%
+ 70
25.6%
1 25
 
9.2%
0 15
 
5.5%
) 10
 
3.7%
( 10
 
3.7%
2 10
 
3.7%
3 8
 
2.9%
, 8
 
2.9%
4 7
 
2.6%
Other values (23) 38
13.9%
Hangul
ValueCountFrequency (%)
개 34
 
7.8%
포 32
 
7.3%
획 25
 
5.7%
그 17
 
3.9%
물 16
 
3.7%
망 11
 
2.5%
건 10
 
2.3%
게 10
 
2.3%
집 9
 
2.1%
대 9
 
2.1%
Other values (92) 264
60.4%

진료장비현황
Text

MISSING 

Distinct26
Distinct (%)83.9%
Missing28
Missing (%)47.5%
Memory size604.0 B
2024-05-11T10:05:46.286766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length114
Median length57
Mean length27.419355
Min length1

Characters and Unicode

Total characters850
Distinct characters131
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)74.2%

Sample

1st rowMRI+CT+수술대+마취기 외 74종
2nd rowX-ray+초음파+혈액혈구분석기+고주파수술기
3rd rowX-ray+초음파+혈액혈구분석기+내시경+C-arm+ICU+호흡마취기+기타
4th row0
5th row진료대
ValueCountFrequency (%)
등 8
 
10.1%
0 4
 
5.1%
진료대 4
 
5.1%
1 4
 
5.1%
수술대2+마취기 2
 
2.5%
진료대+수술대+마취기 2
 
2.5%
1+수술대 2
 
2.5%
1+초음파 2
 
2.5%
1+마취기 2
 
2.5%
호흡마취기1 1
 
1.3%
Other values (48) 48
60.8%
2024-05-11T10:05:47.125085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 113
 
13.3%
기 56
 
6.6%
48
 
5.6%
1 41
 
4.8%
대 27
 
3.2%
수 24
 
2.8%
술 20
 
2.4%
마 19
 
2.2%
취 19
 
2.2%
혈 15
 
1.8%
Other values (121) 468
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 545
64.1%
Math Symbol 113
 
13.3%
Decimal Number 62
 
7.3%
Space Separator 48
 
5.6%
Lowercase Letter 39
 
4.6%
Uppercase Letter 31
 
3.6%
Dash Punctuation 12
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 56
 
10.3%
대 27
 
5.0%
수 24
 
4.4%
술 20
 
3.7%
마 19
 
3.5%
취 19
 
3.5%
혈 15
 
2.8%
액 15
 
2.8%
개 15
 
2.8%
진 14
 
2.6%
Other values (94) 321
58.9%
Uppercase Letter
ValueCountFrequency (%)
X 10
32.3%
C 7
22.6%
I 4
 
12.9%
U 3
 
9.7%
R 2
 
6.5%
T 1
 
3.2%
A 1
 
3.2%
M 1
 
3.2%
Y 1
 
3.2%
B 1
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
a 11
28.2%
r 11
28.2%
y 9
23.1%
m 3
 
7.7%
c 2
 
5.1%
e 1
 
2.6%
h 1
 
2.6%
x 1
 
2.6%
Decimal Number
ValueCountFrequency (%)
1 41
66.1%
2 12
 
19.4%
0 4
 
6.5%
4 2
 
3.2%
3 2
 
3.2%
7 1
 
1.6%
Math Symbol
ValueCountFrequency (%)
+ 113
100.0%
Space Separator
ValueCountFrequency (%)
48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 545
64.1%
Common 235
27.6%
Latin 70
 
8.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 56
 
10.3%
대 27
 
5.0%
수 24
 
4.4%
술 20
 
3.7%
마 19
 
3.5%
취 19
 
3.5%
혈 15
 
2.8%
액 15
 
2.8%
개 15
 
2.8%
진 14
 
2.6%
Other values (94) 321
58.9%
Latin
ValueCountFrequency (%)
a 11
15.7%
r 11
15.7%
X 10
14.3%
y 9
12.9%
C 7
10.0%
I 4
 
5.7%
U 3
 
4.3%
m 3
 
4.3%
R 2
 
2.9%
c 2
 
2.9%
Other values (8) 8
11.4%
Common
ValueCountFrequency (%)
+ 113
48.1%
48
20.4%
1 41
 
17.4%
- 12
 
5.1%
2 12
 
5.1%
0 4
 
1.7%
4 2
 
0.9%
3 2
 
0.9%
7 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 545
64.1%
ASCII 305
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 113
37.0%
48
15.7%
1 41
 
13.4%
- 12
 
3.9%
2 12
 
3.9%
a 11
 
3.6%
r 11
 
3.6%
X 10
 
3.3%
y 9
 
3.0%
C 7
 
2.3%
Other values (17) 31
 
10.2%
Hangul
ValueCountFrequency (%)
기 56
 
10.3%
대 27
 
5.0%
수 24
 
4.4%
술 20
 
3.7%
마 19
 
3.5%
취 19
 
3.5%
혈 15
 
2.8%
액 15
 
2.8%
개 15
 
2.8%
진 14
 
2.6%
Other values (94) 321
58.9%

구조센터기능
Text

MISSING 

Distinct30
Distinct (%)83.3%
Missing23
Missing (%)39.0%
Memory size604.0 B
2024-05-11T10:05:47.570900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length26
Mean length20
Min length1

Characters and Unicode

Total characters720
Distinct characters78
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

Unique26 ?
Unique (%)72.2%

Sample

1st row신고 시 현장출동 후 구조 및 방사+치료 필요시 강원대 야생동물 구조센터 이송
2nd row구조+보호관리+질병연구+진단검사+재활
3rd row야생동물 구조 및 치료 등
4th row야생동물 구조 및 치료 등
5th row신고 시 현장출동 후 구조 및 방사+치료 필요시 강원대 야생동물 구조센터 이송
ValueCountFrequency (%)
야생동물 11
 
8.4%
및 11
 
8.4%
등 9
 
6.9%
구조 9
 
6.9%
치료 6
 
4.6%
후 5
 
3.8%
시 4
 
3.1%
이송 4
 
3.1%
구조센터 4
 
3.1%
신고 4
 
3.1%
Other values (48) 64
48.9%
2024-05-11T10:05:48.498821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95
 
13.2%
+ 72
 
10.0%
구 47
 
6.5%
조 38
 
5.3%
생 30
 
4.2%
동 29
 
4.0%
료 26
 
3.6%
물 25
 
3.5%
치 23
 
3.2%
야 21
 
2.9%
Other values (68) 314
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 549
76.2%
Space Separator 95
 
13.2%
Math Symbol 72
 
10.0%
Decimal Number 3
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 47
 
8.6%
조 38
 
6.9%
생 30
 
5.5%
동 29
 
5.3%
료 26
 
4.7%
물 25
 
4.6%
치 23
 
4.2%
야 21
 
3.8%
연 17
 
3.1%
보 14
 
2.6%
Other values (63) 279
50.8%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
0 1
33.3%
Space Separator
ValueCountFrequency (%)
95
100.0%
Math Symbol
ValueCountFrequency (%)
+ 72
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 549
76.2%
Common 171
 
23.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 47
 
8.6%
조 38
 
6.9%
생 30
 
5.5%
동 29
 
5.3%
료 26
 
4.7%
물 25
 
4.6%
치 23
 
4.2%
야 21
 
3.8%
연 17
 
3.1%
보 14
 
2.6%
Other values (63) 279
50.8%
Common
ValueCountFrequency (%)
95
55.6%
+ 72
42.1%
1 2
 
1.2%
0 1
 
0.6%
, 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 549
76.2%
ASCII 171
 
23.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
95
55.6%
+ 72
42.1%
1 2
 
1.2%
0 1
 
0.6%
, 1
 
0.6%
Hangul
ValueCountFrequency (%)
구 47
 
8.6%
조 38
 
6.9%
생 30
 
5.5%
동 29
 
5.3%
료 26
 
4.7%
물 25
 
4.6%
치 23
 
4.2%
야 21
 
3.8%
연 17
 
3.1%
보 14
 
2.6%
Other values (63) 279
50.8%

대표자명
Text

MISSING 

Distinct40
Distinct (%)80.0%
Missing9
Missing (%)15.3%
Memory size604.0 B
2024-05-11T10:05:48.993674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length3
Mean length4.2
Min length2

Characters and Unicode

Total characters210
Distinct characters83
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

Unique32 ?
Unique (%)64.0%

Sample

1st row이덕규
2nd row연성찬
3rd row송동호
4th row박진수
5th row한진규
ValueCountFrequency (%)
김경수 3
 
5.6%
박영석 3
 
5.6%
김철훈 2
 
3.7%
연성찬 2
 
3.7%
박진호 2
 
3.7%
야생생물관리협회 2
 
3.7%
홍천지회 2
 
3.7%
이덕규 2
 
3.7%
한진규 2
 
3.7%
안현기 1
 
1.9%
Other values (33) 33
61.1%
2024-05-11T10:05:49.794036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 9
 
4.3%
원 9
 
4.3%
박 8
 
3.8%
호 8
 
3.8%
생 7
 
3.3%
수 6
 
2.9%
이 6
 
2.9%
진 6
 
2.9%
영 5
 
2.4%
규 5
 
2.4%
Other values (73) 141
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 205
97.6%
Space Separator 4
 
1.9%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 9
 
4.4%
원 9
 
4.4%
박 8
 
3.9%
호 8
 
3.9%
생 7
 
3.4%
수 6
 
2.9%
이 6
 
2.9%
진 6
 
2.9%
영 5
 
2.4%
규 5
 
2.4%
Other values (71) 136
66.3%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 205
97.6%
Common 5
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 9
 
4.4%
원 9
 
4.4%
박 8
 
3.9%
호 8
 
3.9%
생 7
 
3.4%
수 6
 
2.9%
이 6
 
2.9%
진 6
 
2.9%
영 5
 
2.4%
규 5
 
2.4%
Other values (71) 136
66.3%
Common
ValueCountFrequency (%)
4
80.0%
, 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 205
97.6%
ASCII 5
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 9
 
4.4%
원 9
 
4.4%
박 8
 
3.9%
호 8
 
3.9%
생 7
 
3.4%
수 6
 
2.9%
이 6
 
2.9%
진 6
 
2.9%
영 5
 
2.4%
규 5
 
2.4%
Other values (71) 136
66.3%
ASCII
ValueCountFrequency (%)
4
80.0%
, 1
 
20.0%

전화번호
Text

Distinct49
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Memory size604.0 B
2024-05-11T10:05:50.407634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.898305
Min length9

Characters and Unicode

Total characters702
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

Unique41 ?
Unique (%)69.5%

Sample

1st row033-370-2951
2nd row02-880-8659
3rd row032-548-0275
4th row032-858-9702
5th row033-747-9111
ValueCountFrequency (%)
02-880-8659 4
 
6.8%
063-0850-0983 2
 
3.4%
031-867-9119 2
 
3.4%
033-436-7812 2
 
3.4%
041-330-1666 2
 
3.4%
033-747-9111 2
 
3.4%
033-370-2951 2
 
3.4%
033-250-7504 2
 
3.4%
02-500-7335 1
 
1.7%
052-256-6301 1
 
1.7%
Other values (39) 39
66.1%
2024-05-11T10:05:51.873138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 129
18.4%
- 117
16.7%
3 73
10.4%
5 65
9.3%
1 57
8.1%
7 47
 
6.7%
8 45
 
6.4%
6 45
 
6.4%
2 44
 
6.3%
4 44
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 585
83.3%
Dash Punctuation 117
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 129
22.1%
3 73
12.5%
5 65
11.1%
1 57
9.7%
7 47
 
8.0%
8 45
 
7.7%
6 45
 
7.7%
2 44
 
7.5%
4 44
 
7.5%
9 36
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 117
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 702
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 129
18.4%
- 117
16.7%
3 73
10.4%
5 65
9.3%
1 57
8.1%
7 47
 
6.7%
8 45
 
6.4%
6 45
 
6.4%
2 44
 
6.3%
4 44
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 702
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 129
18.4%
- 117
16.7%
3 73
10.4%
5 65
9.3%
1 57
8.1%
7 47
 
6.7%
8 45
 
6.4%
6 45
 
6.4%
2 44
 
6.3%
4 44
 
6.3%

데이터기준일자
Date

Distinct42
Distinct (%)71.2%
Missing0
Missing (%)0.0%
Memory size604.0 B
Minimum2020-07-01 00:00:00
Maximum2024-03-20 00:00:00
2024-05-11T10:05:52.568714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:05:53.158764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

제공기관코드
Real number (ℝ)

Distinct47
Distinct (%)79.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3937881.4
Minimum1192000
Maximum6500000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T10:05:53.884662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1192000
5-th percentile1192000
Q13055000
median4190000
Q35195000
95-th percentile6443000
Maximum6500000
Range5308000
Interquartile range (IQR)2140000

Descriptive statistics

Standard deviation1713528.4
Coefficient of variation (CV)0.43513968
Kurtosis-0.91523872
Mean3937881.4
Median Absolute Deviation (MAD)1070000
Skewness-0.37547955
Sum2.32335 × 108
Variance2.9361797 × 1012
MonotonicityNot monotonic
2024-05-11T10:05:54.458124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1192000 10
 
16.9%
1480000 3
 
5.1%
3550000 2
 
3.4%
4270000 1
 
1.7%
3980000 1
 
1.7%
5220000 1
 
1.7%
4040000 1
 
1.7%
6440000 1
 
1.7%
3000000 1
 
1.7%
5180000 1
 
1.7%
Other values (37) 37
62.7%
ValueCountFrequency (%)
1192000 10
16.9%
1480000 3
 
5.1%
3000000 1
 
1.7%
3040000 1
 
1.7%
3070000 1
 
1.7%
3120000 1
 
1.7%
3220000 1
 
1.7%
3410000 1
 
1.7%
3420000 1
 
1.7%
3550000 2
 
3.4%
ValueCountFrequency (%)
6500000 1
1.7%
6480000 1
1.7%
6470000 1
1.7%
6440000 1
1.7%
6300000 1
1.7%
6290000 1
1.7%
6280000 1
1.7%
6260000 1
1.7%
5670000 1
1.7%
5590000 1
1.7%

제공기관명
Text

Distinct47
Distinct (%)79.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
2024-05-11T10:05:55.017294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length7.0338983
Min length3

Characters and Unicode

Total characters415
Distinct characters64
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

Unique44 ?
Unique (%)74.6%

Sample

1st row강원도 영월군
2nd row서울특별시 서대문구
3rd row인천광역시 계양구
4th row인천광역시 계양구
5th row강원특별자치도 원주시
ValueCountFrequency (%)
해양수산부 10
 
10.3%
경기도 7
 
7.2%
경상북도 7
 
7.2%
서울특별시 5
 
5.2%
강원도 4
 
4.1%
강원특별자치도 4
 
4.1%
경상남도 4
 
4.1%
인천광역시 3
 
3.1%
환경부 3
 
3.1%
충청남도 3
 
3.1%
Other values (40) 47
48.5%
2024-05-11T10:05:55.963464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38
 
9.2%
시 33
 
8.0%
도 33
 
8.0%
경 22
 
5.3%
산 15
 
3.6%
부 15
 
3.6%
양 15
 
3.6%
구 13
 
3.1%
해 11
 
2.7%
별 11
 
2.7%
Other values (54) 209
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 377
90.8%
Space Separator 38
 
9.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 33
 
8.8%
도 33
 
8.8%
경 22
 
5.8%
산 15
 
4.0%
부 15
 
4.0%
양 15
 
4.0%
구 13
 
3.4%
해 11
 
2.9%
별 11
 
2.9%
특 11
 
2.9%
Other values (53) 198
52.5%
Space Separator
ValueCountFrequency (%)
38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 377
90.8%
Common 38
 
9.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 33
 
8.8%
도 33
 
8.8%
경 22
 
5.8%
산 15
 
4.0%
부 15
 
4.0%
양 15
 
4.0%
구 13
 
3.4%
해 11
 
2.9%
별 11
 
2.9%
특 11
 
2.9%
Other values (53) 198
52.5%
Common
ValueCountFrequency (%)
38
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 377
90.8%
ASCII 38
 
9.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
38
100.0%
Hangul
ValueCountFrequency (%)
시 33
 
8.8%
도 33
 
8.8%
경 22
 
5.8%
산 15
 
4.0%
부 15
 
4.0%
양 15
 
4.0%
구 13
 
3.4%
해 11
 
2.9%
별 11
 
2.9%
특 11
 
2.9%
Other values (53) 198
52.5%

Sample

야생동물구조센터명소재지도로명주소소재지지번주소위도경도운영시작시각운영종료시각휴무일야생동물구조센터지정일자야생동물구조센터면적수의사인원수질병연구자인원수진료실수수술실수영상진단실수입원실수유전자원보관실수재활실수격리실수구조차량대수운반상자현황포획장비현황진료장비현황구조센터기능대표자명전화번호데이터기준일자제공기관코드제공기관명
0(사)야생생물관리협회 영월지회강원도 영월군 북면 영월로 1339-43강원도 영월군 북면 문곡리 54137.218745128.43137409:0018:00토 + 일2008-02-01110.00000000000기타(10)케이지 대(1)<NA>신고 시 현장출동 후 구조 및 방사+치료 필요시 강원대 야생동물 구조센터 이송이덕규033-370-29512022-11-224270000강원도 영월군
1서울시 야생동물 구조관리센터서울특별시 관악구 관악로1(신림동, 서울대학교 수의과대학 야생동물센터)서울특별시 관악구 신림동 산56-1(서울대학교 수의과대학 야생동물센터)37.468038126.95929409:0018:00연중무휴2017-07-01290.361511111112대형 6개 + 기타 12개바닥깔개+고글+그물+마취총MRI+CT+수술대+마취기 외 74종구조+보호관리+질병연구+진단검사+재활연성찬02-880-86592022-10-313120000서울특별시 서대문구
2다오동물병원인천광역시 계양구 계산새로 71인천광역시 계양구 계산동 1062, 하이베라스 D동 213호37.538782126.73581710:0018:00일+공휴일2020-01-0171.681111110000기타1개<NA>X-ray+초음파+혈액혈구분석기+고주파수술기야생동물 구조 및 치료 등송동호032-548-02752023-06-193550000인천광역시 계양구
3인천야생동물구조관리센터인천광역시 연수구 송도국제대로372번길 21인천광역시 연수구 송도동 13-2037.366673126.63855509:0018:00토+일+공휴일2018-03-27376.230111211912종이상자500개+케이지12개그물망 15개+포획틀 3개+블로우건 1개X-ray+초음파+혈액혈구분석기+내시경+C-arm+ICU+호흡마취기+기타야생동물 구조 및 치료 등박진수032-858-97022023-06-193550000인천광역시 계양구
4(사)야생생물관리협회 원주지회강원도 원주시 원일로 159강원도 원주시 일산동 226-237.352544127.94635609:0000:00연중무휴2008-02-0195.560000000000기타(10)케이지 대(6)+케이지 소(4)<NA>신고 시 현장출동 후 구조 및 방사+치료 필요시 강원대 야생동물 구조센터 이송한진규033-747-91112022-10-134191000강원특별자치도 원주시
5전남야생동물관리센터전라남도 순천시 순천만길 922-15(인월동)전라남도 순천시 인월동 226-134.890197127.48417709:0018:00연중무휴2007-04-114665.0221113012031크기별 총 20개+종이 운반상자 종류별 각200매포획그물+그라스퍼 등(5종)<NA>조난야생동물 구조 및 치료 후 방사노관규061-749-48002023-07-314820000전라남도 순천시
6동인동물병원대구광역시 중구 국채보상로 724대구광역시 중구 동인동4가 33235.868392128.60967609:3018:30일+공휴일1996-01-01<NA>2022112<NA><NA>3<NA><NA><NA><NA><NA>최동학053-424-43112023-07-203410000대구광역시 중구
7유일동물병원경기도 양평군 양평읍 미리내길 96경기도 양평군 양평읍 도곡리 285-137.481074127.53491306:0020:00연중무휴2012-01-0160.011110000000000류지원031-772-27272023-06-274170000경기도 양평군
8현대동물병원경상북도 문경시 신흥로 236-2경상북도 문경시 흥덕동 78936.601114128.20642609:0018:00토+일+공휴일2023-07-0185.01110011000대형케이지 1개바닥깔개+그물+장갑진료대야생동물구조권보현054-554-82332023-07-135120000경상북도 문경시
9현대동물병원경상북도 성주군 성주읍 성주순환로 275경상북도 성주군 성주읍 성산리 68-2835.918794128.29255309:0018:00일요일+공휴일2023-01-09<NA>11<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>054-933-38112023-07-135210000경상북도 성주군
야생동물구조센터명소재지도로명주소소재지지번주소위도경도운영시작시각운영종료시각휴무일야생동물구조센터지정일자야생동물구조센터면적수의사인원수질병연구자인원수진료실수수술실수영상진단실수입원실수유전자원보관실수재활실수격리실수구조차량대수운반상자현황포획장비현황진료장비현황구조센터기능대표자명전화번호데이터기준일자제공기관코드제공기관명
49사단법인 한국동물구조관리협회경기도 양주시 남면 감악산로 63-37경기도 양주시 남면 상수리 410-137.870116126.98354309:0018:00일요일+공휴일2017-03-01450.0191106011840포획틀+블로우건+뜰채수술대2+마취기 등구조+질병연구+보호관리 등김철훈031-867-91192023-05-075590000경기도 양주시
50경남야생생물보호협회경상남도 창원시 마산합포구 진전면 대산길 126경상남도 창원시 마산합포구 임곡리 101-235.10257128.43633809:0000:00연중무휴2022-01-010.00000000000000부상야생동물구조옥수호055-225-34562023-07-015670000경상남도 창원시
51제주야생동물구조센터제주특별자치도 제주시 516로 2946<NA>33.443702126.56470408:3022:00연중무휴2010-10-258614.025311151492대형10개(노루용)+소형10개(조류용)+기타 1개(족제비)포획망 10개+마취총 1개+뱀찝게 1개진료대 1+수술대 1+마취기 1+X- ray 1+내시경 1+현미경 1+초음파 1+검안경 1+계수기 1+분석기 1야생동물 구조활동+야생동물 질병연구+야생동물 생태연구+야생동물 보호관리+청소년생태체험학습<NA>064-752-99822023-07-076500000제주특별자치도
52경남야생동물구조센터경상남도 진주시 진주대로 501경상남도 진주시 가좌동 90035.156715128.09800209:0018:00연중무휴2008-05-146103.06111131922나무이동장 3개+켄넬 12개+구조용 종이박스 30개+특수제작 이동가방 2개장갑+그물망+뜰채+집게+올가미+마취총 등진료대+수술대+수술등+흡입마취기+환축상태감시기+수액펌프+X-ray영상진단장비+초음파진단기+광학현미경+혈액검사장비세트+원심분리기+집중치료시설+세균배양기+고압멸균소독기+자외선소독기+이비인후과유닛+네블라이저 등야생동물 구조 및 치료+질병연구+유전자원 보존 등이성림055-754-95752023-06-276480000경상남도
53홍천군 야생동물 임시보호시설<NA>강원특별자치도 홍천군 홍천읍 태학리 13437.706298127.90321409:0018:00토요일+일요일+공휴일2011-07-01397.0000000005010300<NA>야생생물관리협회 홍천지회033-436-78122023-06-264250000강원도 홍천군
54전북야생동물구조관리센터전북특별자치도 익산시 고봉로 79전북특별자치도 익산시 마동 194-535.942452126.95990709:0018:00연중무휴2006-09-14<NA>208113<NA><NA>12특대형+대형+중형+중소형+소형<NA>진료대+수술대+마취기구조+치료+방생박진호063-0850-09832024-02-214681000전북특별자치도 익산시
55충남야생동물구조센터충청남도 예산군 예산읍 대학로 54 공주대학교 산업과학대학 충남야생동물구조센터충청남도 예산군 예산읍 대회리 산 4536.671352126.86287909:0018:00토+일+공휴일+(휴일당직자1인근무)2010-09-091044.96201113212302포유류케이지4개+종이상자(소모품)조류 포획망3+포유류포획망1+생포트랩3+포획집게2호흡마취기1+ 수술대1+진료대1+방사선촬영기1+무영등2+안과검사기1+혈액분석기1조난 또는 부상당한 야생동물의 구조 치료관리 및 재활훈련+야생동물의 질병연구+멸종위기종 등 야생동물의 보전 및 생물자원의 보존관리+기타박영석041-330-16662023-12-184610000충청남도 예산군
56서울시 야생동물센터서울특별시 관악구 관악로 1 서울대학교 80동 서울시야생동물센터<NA>37.468192126.95317209:0008:00연중무휴2017-07-01<NA>15<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>02-880-86592024-01-123040000서울특별시 광진구
57동대구동물의료센터대구광역시 동구 신암로 70대구광역시 동구 신암동 1293-335.877771128.60821609:0022:00공휴일+국경일2017-01-011504958.03042210000<NA><NA><NA><NA>손호희053-942-08052024-03-113420000대구광역시 동구
58서울시야생동물센터서울특별시 관악구 관악로1(신림동, 서울대학교 수의과대학 야생동물센터)서울특별시 관악구 신림동 산56-1(서울대학교 수의과대학 야생동물센터)37.468039126.95929609:0018:00연중무휴2017-07-01<NA>216<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>02-880-86592024-03-203220000서울특별시 강남구