Overview

Dataset statistics

Number of variables14
Number of observations369
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.2 KiB
Average record size in memory114.4 B

Variable types

Text4
Categorical7
DateTime1
Numeric2

Dataset

Description경상남도 거제시 유기동물현황(공고번호, 공고기간, 보호장소, 접수일시, 발생장소, 축종, 품종, 색상, 성별, 체중, 나이, 업무진행단계, 중성화, 기준일자)등에 대한 정보를 제공합니다.
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15086791

Alerts

보호장소 has constant value ""Constant
업무진행단계 has constant value ""Constant
기준일자 has constant value ""Constant
품종 is highly overall correlated with 축종 and 1 other fieldsHigh correlation
축종 is highly overall correlated with 체중 and 2 other fieldsHigh correlation
체중 is highly overall correlated with 나이 and 1 other fieldsHigh correlation
나이 is highly overall correlated with 체중High correlation
성별 is highly overall correlated with 축종 and 1 other fieldsHigh correlation
품종 is highly imbalanced (61.6%)Imbalance
공고번호 has unique valuesUnique

Reproduction

Analysis started2024-03-13 00:10:13.600231
Analysis finished2024-03-13 00:10:14.822075
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공고번호
Text

UNIQUE 

Distinct369
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-03-13T09:10:14.952414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length16.04607
Min length14

Characters and Unicode

Total characters5921
Distinct characters16
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

Unique369 ?
Unique (%)100.0%

Sample

1st row경남-거제시-2022-00181
2nd row경남-거제시-2022-00180
3rd row경남-거제시-2022-00179
4th row경남-거제시-2022-00178
5th row경남-거제시-2022-00176
ValueCountFrequency (%)
경남-거제시-2022-00181 1
 
0.3%
경남-거제-2021-00348 1
 
0.3%
경남-거제-2021-00263 1
 
0.3%
경남-거제-2021-00275 1
 
0.3%
경남-거제-2021-00281 1
 
0.3%
경남-거제-2021-00285 1
 
0.3%
경남-거제-2021-00288 1
 
0.3%
경남-거제-2021-00291 1
 
0.3%
경남-거제-2021-00304 1
 
0.3%
경남-거제-2021-00318 1
 
0.3%
Other values (359) 359
97.3%
2024-03-13T09:10:15.244899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1258
21.2%
- 1107
18.7%
2 940
15.9%
1 463
 
7.8%
경 369
 
6.2%
남 369
 
6.2%
거 368
 
6.2%
제 368
 
6.2%
8 106
 
1.8%
4 104
 
1.8%
Other values (6) 469
 
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3321
56.1%
Other Letter 1493
25.2%
Dash Punctuation 1107
 
18.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1258
37.9%
2 940
28.3%
1 463
 
13.9%
8 106
 
3.2%
4 104
 
3.1%
7 102
 
3.1%
3 93
 
2.8%
6 91
 
2.7%
5 86
 
2.6%
9 78
 
2.3%
Other Letter
ValueCountFrequency (%)
경 369
24.7%
남 369
24.7%
거 368
24.6%
제 368
24.6%
시 19
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 1107
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4428
74.8%
Hangul 1493
 
25.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1258
28.4%
- 1107
25.0%
2 940
21.2%
1 463
 
10.5%
8 106
 
2.4%
4 104
 
2.3%
7 102
 
2.3%
3 93
 
2.1%
6 91
 
2.1%
5 86
 
1.9%
Hangul
ValueCountFrequency (%)
경 369
24.7%
남 369
24.7%
거 368
24.6%
제 368
24.6%
시 19
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4428
74.8%
Hangul 1493
 
25.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1258
28.4%
- 1107
25.0%
2 940
21.2%
1 463
 
10.5%
8 106
 
2.4%
4 104
 
2.3%
7 102
 
2.3%
3 93
 
2.1%
6 91
 
2.1%
5 86
 
1.9%
Hangul
ValueCountFrequency (%)
경 369
24.7%
남 369
24.7%
거 368
24.6%
제 368
24.6%
시 19
 
1.3%

공고기간
Text

Distinct209
Distinct (%)56.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-03-13T09:10:15.426924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters7749
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique126 ?
Unique (%)34.1%

Sample

1st row2022-03-18~2022-03-28
2nd row2022-03-18~2022-03-28
3rd row2022-03-17~2022-03-28
4th row2022-03-17~2022-03-28
5th row2022-03-16~2022-03-28
ValueCountFrequency (%)
2022-03-14~2022-03-24 9
 
2.4%
2022-03-07~2022-03-17 8
 
2.2%
2022-02-18~2022-02-28 7
 
1.9%
2021-01-25~2021-02-04 6
 
1.6%
2021-06-17~2021-06-28 6
 
1.6%
2021-01-12~2021-01-22 6
 
1.6%
2022-03-16~2022-03-28 5
 
1.4%
2021-07-12~2021-07-22 5
 
1.4%
2022-02-23~2022-03-07 5
 
1.4%
2021-10-08~2021-10-18 4
 
1.1%
Other values (199) 308
83.5%
2024-03-13T09:10:15.691163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2148
27.7%
0 1799
23.2%
- 1476
19.0%
1 957
12.3%
~ 369
 
4.8%
3 219
 
2.8%
7 182
 
2.3%
8 154
 
2.0%
5 124
 
1.6%
4 120
 
1.5%
Other values (2) 201
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5904
76.2%
Dash Punctuation 1476
 
19.0%
Math Symbol 369
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2148
36.4%
0 1799
30.5%
1 957
16.2%
3 219
 
3.7%
7 182
 
3.1%
8 154
 
2.6%
5 124
 
2.1%
4 120
 
2.0%
9 101
 
1.7%
6 100
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 1476
100.0%
Math Symbol
ValueCountFrequency (%)
~ 369
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7749
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2148
27.7%
0 1799
23.2%
- 1476
19.0%
1 957
12.3%
~ 369
 
4.8%
3 219
 
2.8%
7 182
 
2.3%
8 154
 
2.0%
5 124
 
1.6%
4 120
 
1.5%
Other values (2) 201
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7749
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2148
27.7%
0 1799
23.2%
- 1476
19.0%
1 957
12.3%
~ 369
 
4.8%
3 219
 
2.8%
7 182
 
2.3%
8 154
 
2.0%
5 124
 
1.6%
4 120
 
1.5%
Other values (2) 201
 
2.6%

보호장소
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소
369 

Length

Max length55
Median length55
Mean length55
Min length55

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소
2nd row경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소
3rd row경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소
4th row경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소
5th row경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소

Common Values

ValueCountFrequency (%)
경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소 369
100.0%

Length

2024-03-13T09:10:15.797066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:15.875082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사등면 738
25.0%
경상남도 369
12.5%
거제시 369
12.5%
두동로1길 369
12.5%
109 369
12.5%
한국자원재생공사폐비닐적재장 369
12.5%
거제시유기동물보호소 369
12.5%

접수일시
Date

Distinct231
Distinct (%)62.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2020-01-06 00:00:00
Maximum2022-03-18 00:00:00
2024-03-13T09:10:15.959572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:10:16.070271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

발생장소
Text

Distinct314
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-03-13T09:10:16.309053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length10.04065
Min length3

Characters and Unicode

Total characters3705
Distinct characters316
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique279 ?
Unique (%)75.6%

Sample

1st row사등초정문맞은편
2nd row장목 흥남해수욕장 편의점 앞
3rd row장승포로 18
4th row칠천다리앞
5th row외포리 1376-2
ValueCountFrequency (%)
근처 42
 
4.8%
거제면 22
 
2.5%
사등면 21
 
2.4%
연초면 15
 
1.7%
일운면 13
 
1.5%
하청면 12
 
1.4%
주택가 11
 
1.3%
뒷산 10
 
1.1%
둔덕면 10
 
1.1%
동부면 9
 
1.0%
Other values (463) 714
81.2%
2024-03-13T09:10:16.695748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
535
 
14.4%
면 115
 
3.1%
1 115
 
3.1%
장 87
 
2.3%
근 75
 
2.0%
처 73
 
2.0%
동 70
 
1.9%
리 69
 
1.9%
길 67
 
1.8%
포 60
 
1.6%
Other values (306) 2439
65.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2761
74.5%
Space Separator 535
 
14.4%
Decimal Number 367
 
9.9%
Dash Punctuation 30
 
0.8%
Other Punctuation 4
 
0.1%
Lowercase Letter 4
 
0.1%
Uppercase Letter 2
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 115
 
4.2%
장 87
 
3.2%
근 75
 
2.7%
처 73
 
2.6%
동 70
 
2.5%
리 69
 
2.5%
길 67
 
2.4%
포 60
 
2.2%
로 59
 
2.1%
산 54
 
2.0%
Other values (285) 2032
73.6%
Decimal Number
ValueCountFrequency (%)
1 115
31.3%
2 49
13.4%
6 37
 
10.1%
4 34
 
9.3%
3 31
 
8.4%
5 22
 
6.0%
8 21
 
5.7%
7 20
 
5.4%
9 20
 
5.4%
0 18
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
u 1
25.0%
c 1
25.0%
k 1
25.0%
s 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
H 1
50.0%
Space Separator
ValueCountFrequency (%)
535
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2761
74.5%
Common 938
 
25.3%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 115
 
4.2%
장 87
 
3.2%
근 75
 
2.7%
처 73
 
2.6%
동 70
 
2.5%
리 69
 
2.5%
길 67
 
2.4%
포 60
 
2.2%
로 59
 
2.1%
산 54
 
2.0%
Other values (285) 2032
73.6%
Common
ValueCountFrequency (%)
535
57.0%
1 115
 
12.3%
2 49
 
5.2%
6 37
 
3.9%
4 34
 
3.6%
3 31
 
3.3%
- 30
 
3.2%
5 22
 
2.3%
8 21
 
2.2%
7 20
 
2.1%
Other values (5) 44
 
4.7%
Latin
ValueCountFrequency (%)
u 1
16.7%
c 1
16.7%
L 1
16.7%
H 1
16.7%
k 1
16.7%
s 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2761
74.5%
ASCII 944
 
25.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
535
56.7%
1 115
 
12.2%
2 49
 
5.2%
6 37
 
3.9%
4 34
 
3.6%
3 31
 
3.3%
- 30
 
3.2%
5 22
 
2.3%
8 21
 
2.2%
7 20
 
2.1%
Other values (11) 50
 
5.3%
Hangul
ValueCountFrequency (%)
면 115
 
4.2%
장 87
 
3.2%
근 75
 
2.7%
처 73
 
2.6%
동 70
 
2.5%
리 69
 
2.5%
길 67
 
2.4%
포 60
 
2.2%
로 59
 
2.1%
산 54
 
2.0%
Other values (285) 2032
73.6%

축종
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
개
267 
고양이
100 
기타
 
2

Length

Max length3
Median length1
Mean length1.5474255
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개
2nd row개
3rd row개
4th row고양이
5th row기타

Common Values

ValueCountFrequency (%)
개 267
72.4%
고양이 100
 
27.1%
기타 2
 
0.5%

Length

2024-03-13T09:10:16.810573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:16.897687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개 267
72.4%
고양이 100
 
27.1%
기타 2
 
0.5%

품종
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct21
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
믹스견
242 
한국 고양이
83 
기타
 
12
말티즈
 
6
닥스훈트
 
3
Other values (16)
 
23

Length

Max length13
Median length3
Mean length3.7642276
Min length2

Unique

Unique10 ?
Unique (%)2.7%

Sample

1st row믹스견
2nd row스피츠
3rd row믹스견
4th row한국 고양이
5th row<NA>

Common Values

ValueCountFrequency (%)
믹스견 242
65.6%
한국 고양이 83
 
22.5%
기타 12
 
3.3%
말티즈 6
 
1.6%
닥스훈트 3
 
0.8%
러시안 블루 3
 
0.8%
시츄 2
 
0.5%
스피츠 2
 
0.5%
푸들 2
 
0.5%
골든 리트리버 2
 
0.5%
Other values (11) 12
 
3.3%

Length

2024-03-13T09:10:16.985597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
믹스견 242
52.5%
고양이 83
 
18.0%
한국 83
 
18.0%
기타 12
 
2.6%
말티즈 6
 
1.3%
닥스훈트 3
 
0.7%
러시안 3
 
0.7%
블루 3
 
0.7%
리트리버 3
 
0.7%
골든 2
 
0.4%
Other values (17) 21
 
4.6%

색상
Text

Distinct83
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-03-13T09:10:17.123817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length4.495935
Min length2

Characters and Unicode

Total characters1659
Distinct characters31
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

Unique49 ?
Unique (%)13.3%

Sample

1st row검정,흰색
2nd row흰색
3rd row검은색.흰색
4th row검정줄무늬,연갈색
5th row검은색
ValueCountFrequency (%)
흰색 74
19.7%
갈색 38
 
10.1%
검정,흰색 20
 
5.3%
연갈색 16
 
4.3%
연갈색,흰색 14
 
3.7%
아이보리 14
 
3.7%
흰색,갈색 13
 
3.5%
갈색,흰색 12
 
3.2%
갈색.검은색 11
 
2.9%
검정 11
 
2.9%
Other values (68) 152
40.5%
2024-03-13T09:10:17.371826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
색 494
29.8%
흰 240
14.5%
갈 192
 
11.6%
, 171
 
10.3%
검 133
 
8.0%
정 85
 
5.1%
. 72
 
4.3%
연 60
 
3.6%
은 44
 
2.7%
이 23
 
1.4%
Other values (21) 145
 
8.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1406
84.7%
Other Punctuation 245
 
14.8%
Space Separator 8
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
색 494
35.1%
흰 240
17.1%
갈 192
 
13.7%
검 133
 
9.5%
정 85
 
6.0%
연 60
 
4.3%
은 44
 
3.1%
이 23
 
1.6%
노 18
 
1.3%
리 15
 
1.1%
Other values (17) 102
 
7.3%
Other Punctuation
ValueCountFrequency (%)
, 171
69.8%
. 72
29.4%
& 2
 
0.8%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1406
84.7%
Common 253
 
15.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
색 494
35.1%
흰 240
17.1%
갈 192
 
13.7%
검 133
 
9.5%
정 85
 
6.0%
연 60
 
4.3%
은 44
 
3.1%
이 23
 
1.6%
노 18
 
1.3%
리 15
 
1.1%
Other values (17) 102
 
7.3%
Common
ValueCountFrequency (%)
, 171
67.6%
. 72
28.5%
8
 
3.2%
& 2
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1406
84.7%
ASCII 253
 
15.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
색 494
35.1%
흰 240
17.1%
갈 192
 
13.7%
검 133
 
9.5%
정 85
 
6.0%
연 60
 
4.3%
은 44
 
3.1%
이 23
 
1.6%
노 18
 
1.3%
리 15
 
1.1%
Other values (17) 102
 
7.3%
ASCII
ValueCountFrequency (%)
, 171
67.6%
. 72
28.5%
8
 
3.2%
& 2
 
0.8%

성별
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
암컷
177 
수컷
115 
미상
77 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수컷
2nd row수컷
3rd row수컷
4th row미상
5th row미상

Common Values

ValueCountFrequency (%)
암컷 177
48.0%
수컷 115
31.2%
미상 77
20.9%

Length

2024-03-13T09:10:17.476300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:17.561596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
암컷 177
48.0%
수컷 115
31.2%
미상 77
20.9%

체중
Real number (ℝ)

HIGH CORRELATION 

Distinct38
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4578591
Minimum0.1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-03-13T09:10:17.646740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.3
Q12
median5
Q39
95-th percentile19.2
Maximum35
Range34.9
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.0460612
Coefficient of variation (CV)0.93623307
Kurtosis3.4008312
Mean6.4578591
Median Absolute Deviation (MAD)3
Skewness1.676972
Sum2382.95
Variance36.554857
MonotonicityNot monotonic
2024-03-13T09:10:17.751669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
5.0 37
 
10.0%
4.0 30
 
8.1%
6.0 29
 
7.9%
10.0 25
 
6.8%
3.0 24
 
6.5%
1.0 23
 
6.2%
7.0 22
 
6.0%
8.0 20
 
5.4%
15.0 18
 
4.9%
2.0 17
 
4.6%
Other values (28) 124
33.6%
ValueCountFrequency (%)
0.1 4
 
1.1%
0.2 10
2.7%
0.3 8
2.2%
0.35 1
 
0.3%
0.4 2
 
0.5%
0.5 14
3.8%
0.6 2
 
0.5%
0.7 2
 
0.5%
0.8 8
2.2%
0.9 1
 
0.3%
ValueCountFrequency (%)
35.0 1
 
0.3%
30.0 3
 
0.8%
28.0 1
 
0.3%
25.0 5
 
1.4%
23.0 2
 
0.5%
20.0 7
 
1.9%
18.0 4
 
1.1%
17.0 2
 
0.5%
16.0 1
 
0.3%
15.0 18
4.9%

나이
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.3442
Minimum2010
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-03-13T09:10:17.845910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2010
5-th percentile2017
Q12018
median2020
Q32021
95-th percentile2022
Maximum2022
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.8380711
Coefficient of variation (CV)0.00091023171
Kurtosis4.2115971
Mean2019.3442
Median Absolute Deviation (MAD)1
Skewness-1.4949237
Sum745138
Variance3.3785054
MonotonicityNot monotonic
2024-03-13T09:10:17.933502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2021 92
24.9%
2019 83
22.5%
2020 74
20.1%
2018 54
14.6%
2017 29
 
7.9%
2022 21
 
5.7%
2016 7
 
1.9%
2012 5
 
1.4%
2013 2
 
0.5%
2014 1
 
0.3%
ValueCountFrequency (%)
2010 1
 
0.3%
2012 5
 
1.4%
2013 2
 
0.5%
2014 1
 
0.3%
2016 7
 
1.9%
2017 29
 
7.9%
2018 54
14.6%
2019 83
22.5%
2020 74
20.1%
2021 92
24.9%
ValueCountFrequency (%)
2022 21
 
5.7%
2021 92
24.9%
2020 74
20.1%
2019 83
22.5%
2018 54
14.6%
2017 29
 
7.9%
2016 7
 
1.9%
2014 1
 
0.3%
2013 2
 
0.5%
2012 5
 
1.4%

업무진행단계
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
보호중
369 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보호중 369
100.0%

Length

2024-03-13T09:10:18.027234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:18.099617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보호중 369
100.0%

중성화
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
아니오
296 
<NA>
53 
예
 
20

Length

Max length4
Median length3
Mean length3.0352304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
아니오 296
80.2%
<NA> 53
 
14.4%
예 20
 
5.4%

Length

2024-03-13T09:10:18.179410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:18.274425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아니오 296
80.2%
na 53
 
14.4%
예 20
 
5.4%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2022-03-21
369 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-03-21
2nd row2022-03-21
3rd row2022-03-21
4th row2022-03-21
5th row2022-03-21

Common Values

ValueCountFrequency (%)
2022-03-21 369
100.0%

Length

2024-03-13T09:10:18.365658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:18.439288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-03-21 369
100.0%

Interactions

2024-03-13T09:10:14.204246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:10:14.052062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:10:14.289118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:10:14.132986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T09:10:18.488706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
축종품종색상성별체중나이중성화
축종1.0001.0000.7810.8770.6870.4090.076
품종1.0001.0000.8610.7840.7900.5750.098
색상0.7810.8611.0000.6310.0000.0000.000
성별0.8770.7840.6311.0000.5380.4290.196
체중0.6870.7900.0000.5381.0000.4320.103
나이0.4090.5750.0000.4290.4321.0000.276
중성화0.0760.0980.0000.1960.1030.2761.000
2024-03-13T09:10:18.571398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
품종축종중성화성별
품종1.0000.9750.0890.582
축종0.9751.0000.1260.575
중성화0.0890.1261.0000.322
성별0.5820.5750.3221.000
2024-03-13T09:10:18.653877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
체중나이축종품종성별중성화
체중1.000-0.5020.5360.3710.3790.077
나이-0.5021.0000.1900.2610.2080.337
축종0.5360.1901.0000.9750.5750.126
품종0.3710.2610.9751.0000.5820.089
성별0.3790.2080.5750.5821.0000.322
중성화0.0770.3370.1260.0890.3221.000

Missing values

2024-03-13T09:10:14.625372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T09:10:14.764684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

공고번호공고기간보호장소접수일시발생장소축종품종색상성별체중나이업무진행단계중성화기준일자
0경남-거제시-2022-001812022-03-18~2022-03-28경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-03-18사등초정문맞은편개믹스견검정,흰색수컷15.02020보호중아니오2022-03-21
1경남-거제시-2022-001802022-03-18~2022-03-28경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-03-17장목 흥남해수욕장 편의점 앞개스피츠흰색수컷7.02020보호중아니오2022-03-21
2경남-거제시-2022-001792022-03-17~2022-03-28경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-03-17장승포로 18개믹스견검은색.흰색수컷8.02019보호중아니오2022-03-21
3경남-거제시-2022-001782022-03-17~2022-03-28경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-03-17칠천다리앞고양이한국 고양이검정줄무늬,연갈색미상6.02020보호중<NA>2022-03-21
4경남-거제시-2022-001762022-03-16~2022-03-28경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-03-16외포리 1376-2기타<NA>검은색미상15.02021보호중아니오2022-03-21
5경남-거제시-2022-001772022-03-16~2022-03-28경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-03-16외포리 1376-2기타<NA>검은색암컷30.02019보호중아니오2022-03-21
6경남-거제시-2022-001752022-03-16~2022-03-28경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-03-16가조도 베일리펜션개믹스견흰색.베이지색수컷2.02022보호중아니오2022-03-21
7경남-거제시-2022-001742022-03-16~2022-03-28경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-03-16거제면 내간리 1009-5산개믹스견검은색.흰색암컷3.02022보호중아니오2022-03-21
8경남-거제시-2022-001712022-03-16~2022-03-28경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-03-16문동 대아푸른솔 화단개믹스견옅은갈색수컷8.02019보호중예2022-03-21
9경남-거제시-2022-001702022-03-14~2022-03-24경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-03-14거제면 119뒤 주택가개믹스견갈색.검은색수컷7.02019보호중아니오2022-03-21
공고번호공고기간보호장소접수일시발생장소축종품종색상성별체중나이업무진행단계중성화기준일자
359경남-거제-2020-002432020-03-19~2020-03-30경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2020-03-19동부면 산양4길 주택가개믹스견흰색,연갈색암컷3.02020보호중아니오2022-03-21
360경남-거제-2020-002352020-03-18~2020-03-30경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2020-03-18고현 한솔그랑빌고양이기타갈색,흰색미상3.02018보호중<NA>2022-03-21
361경남-거제-2020-001562020-02-24~2020-03-05경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2020-02-23신계마을 입구근처개믹스견갈검색수컷2.02020보호중아니오2022-03-21
362경남-거제-2020-001382020-02-20~2020-03-02경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2020-02-20지세포리 301 주택가개믹스견흰색암컷5.02017보호중아니오2022-03-21
363경남-거제-2020-001102020-02-13~2020-02-24경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2020-02-13둔덕면 사무소개믹스견연갈색수컷8.02020보호중아니오2022-03-21
364경남-거제-2020-000952020-02-08~2020-02-18경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2020-02-08사등면 두동로 길가개믹스견연갈색,흰색암컷8.02016보호중아니오2022-03-21
365경남-거제-2020-000762020-02-04~2020-02-14경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2020-01-31고현동 정토빌 모들밥상개믹스견검정&흰색수컷7.02019보호중아니오2022-03-21
366경남-거제-2020-000462020-01-20~2020-01-30경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2020-01-20거제 둔덕면 거림2길 주택가개믹스견흰색&갈색암컷6.02020보호중아니오2022-03-21
367경남-거제-2020-000332020-01-15~2020-01-28경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2020-01-15연초면 오비리206-3개믹스견흰색암컷12.02017보호중아니오2022-03-21
368경남-거제-2020-000062020-01-06~2020-01-16경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2020-01-06사곡리 공단근처개믹스견갈색,흰색암컷5.02020보호중아니오2022-03-21