Overview

Dataset statistics

Number of variables14
Number of observations642
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory71.6 KiB
Average record size in memory114.2 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 품종 and 1 other fieldsHigh correlation
체중 is highly overall correlated with 나이High 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 (64.6%)Imbalance
중성화 is highly imbalanced (51.8%)Imbalance
공고번호 has unique valuesUnique

Reproduction

Analysis started2024-03-13 00:10:19.497143
Analysis finished2024-03-13 00:10:20.485924
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공고번호
Text

UNIQUE 

Distinct642
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-03-13T09:10:20.596484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length16.17134
Min length14

Characters and Unicode

Total characters10382
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

Unique642 ?
Unique (%)100.0%

Sample

1st row경남-거제-2022-00693
2nd row경남-거제-2022-00688
3rd row경남-거제-2022-00689
4th row경남-거제-2022-00690
5th row경남-거제-2022-00691
ValueCountFrequency (%)
경남-거제-2022-00693 1
 
0.2%
경남-거제-2021-00677 1
 
0.2%
경남-거제-2021-00814 1
 
0.2%
경남-거제-2021-00887 1
 
0.2%
경남-거제-2021-00940 1
 
0.2%
경남-거제-2021-00938 1
 
0.2%
경남-거제-2021-00928 1
 
0.2%
경남-거제-2021-00924 1
 
0.2%
경남-거제-2021-00916 1
 
0.2%
경남-거제-2021-00903 1
 
0.2%
Other values (632) 632
98.4%
2024-03-13T09:10:20.863187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2129
20.5%
- 1926
18.6%
2 1880
18.1%
경 642
 
6.2%
남 642
 
6.2%
거 641
 
6.2%
제 641
 
6.2%
1 530
 
5.1%
6 204
 
2.0%
4 204
 
2.0%
Other values (6) 943
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5778
55.7%
Other Letter 2678
25.8%
Dash Punctuation 1926
 
18.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2129
36.8%
2 1880
32.5%
1 530
 
9.2%
6 204
 
3.5%
4 204
 
3.5%
3 196
 
3.4%
5 190
 
3.3%
7 158
 
2.7%
8 157
 
2.7%
9 130
 
2.2%
Other Letter
ValueCountFrequency (%)
경 642
24.0%
남 642
24.0%
거 641
23.9%
제 641
23.9%
시 112
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 1926
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7704
74.2%
Hangul 2678
 
25.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2129
27.6%
- 1926
25.0%
2 1880
24.4%
1 530
 
6.9%
6 204
 
2.6%
4 204
 
2.6%
3 196
 
2.5%
5 190
 
2.5%
7 158
 
2.1%
8 157
 
2.0%
Hangul
ValueCountFrequency (%)
경 642
24.0%
남 642
24.0%
거 641
23.9%
제 641
23.9%
시 112
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7704
74.2%
Hangul 2678
 
25.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2129
27.6%
- 1926
25.0%
2 1880
24.4%
1 530
 
6.9%
6 204
 
2.6%
4 204
 
2.6%
3 196
 
2.5%
5 190
 
2.5%
7 158
 
2.1%
8 157
 
2.0%
Hangul
ValueCountFrequency (%)
경 642
24.0%
남 642
24.0%
거 641
23.9%
제 641
23.9%
시 112
 
4.2%

공고기간
Text

Distinct290
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-03-13T09:10:21.080644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters13482
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

Unique146 ?
Unique (%)22.7%

Sample

1st row2022-07-18~2022-07-28
2nd row2022-07-18~2022-07-28
3rd row2022-07-18~2022-07-28
4th row2022-07-18~2022-07-28
5th row2022-07-18~2022-07-28
ValueCountFrequency (%)
2022-06-03~2022-06-13 21
 
3.3%
2022-05-09~2022-05-19 13
 
2.0%
2022-06-07~2022-06-17 12
 
1.9%
2022-07-04~2022-07-14 11
 
1.7%
2022-07-05~2022-07-15 10
 
1.6%
2022-07-18~2022-07-28 9
 
1.4%
2022-03-14~2022-03-24 9
 
1.4%
2022-03-07~2022-03-17 8
 
1.2%
2022-06-30~2022-07-11 8
 
1.2%
2022-06-10~2022-06-20 7
 
1.1%
Other values (280) 534
83.2%
2024-03-13T09:10:21.390657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 3974
29.5%
0 3114
23.1%
- 2568
19.0%
1 1210
 
9.0%
~ 642
 
4.8%
7 403
 
3.0%
3 338
 
2.5%
6 323
 
2.4%
5 299
 
2.2%
4 251
 
1.9%
Other values (2) 360
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10272
76.2%
Dash Punctuation 2568
 
19.0%
Math Symbol 642
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3974
38.7%
0 3114
30.3%
1 1210
 
11.8%
7 403
 
3.9%
3 338
 
3.3%
6 323
 
3.1%
5 299
 
2.9%
4 251
 
2.4%
8 205
 
2.0%
9 155
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 2568
100.0%
Math Symbol
ValueCountFrequency (%)
~ 642
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13482
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 3974
29.5%
0 3114
23.1%
- 2568
19.0%
1 1210
 
9.0%
~ 642
 
4.8%
7 403
 
3.0%
3 338
 
2.5%
6 323
 
2.4%
5 299
 
2.2%
4 251
 
1.9%
Other values (2) 360
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13482
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 3974
29.5%
0 3114
23.1%
- 2568
19.0%
1 1210
 
9.0%
~ 642
 
4.8%
7 403
 
3.0%
3 338
 
2.5%
6 323
 
2.4%
5 299
 
2.2%
4 251
 
1.9%
Other values (2) 360
 
2.7%

보호장소
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소
642 

Length

Max length54
Median length54
Mean length54
Min length54

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 642
100.0%

Length

2024-03-13T09:10:21.501421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:21.572497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 642
14.3%
거제시 642
14.3%
사등면 642
14.3%
두동로1길 642
14.3%
109 642
14.3%
사등면，한국자원재생공사폐비닐적재장 642
14.3%
거제시유기동물보호소 642
14.3%

접수일시
Date

Distinct322
Distinct (%)50.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
Minimum2020-01-06 00:00:00
Maximum2022-07-18 00:00:00
2024-03-13T09:10:21.858160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:10:21.976796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

발생장소
Text

Distinct490
Distinct (%)76.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-03-13T09:10:22.210247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length9.805296
Min length3

Characters and Unicode

Total characters6295
Distinct characters366
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

Unique419 ?
Unique (%)65.3%

Sample

1st row장목면시방마을입구
2nd row장목면시방마을입구
3rd row장목면시방마을입구
4th row장목면시방마을입구
5th row장목면시방마을입구
ValueCountFrequency (%)
근처 63
 
4.2%
주택가 50
 
3.4%
거제면 43
 
2.9%
하청면 38
 
2.5%
사등면 29
 
1.9%
연초면 20
 
1.3%
옥포 19
 
1.3%
일운면 18
 
1.2%
앞 15
 
1.0%
장평 15
 
1.0%
Other values (657) 1182
79.2%
2024-03-13T09:10:22.554862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
910
 
14.5%
면 196
 
3.1%
1 158
 
2.5%
장 142
 
2.3%
동 134
 
2.1%
가 116
 
1.8%
근 114
 
1.8%
처 112
 
1.8%
포 108
 
1.7%
리 97
 
1.5%
Other values (356) 4208
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4792
76.1%
Space Separator 910
 
14.5%
Decimal Number 527
 
8.4%
Dash Punctuation 44
 
0.7%
Lowercase Letter 8
 
0.1%
Uppercase Letter 6
 
0.1%
Other Punctuation 4
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 196
 
4.1%
장 142
 
3.0%
동 134
 
2.8%
가 116
 
2.4%
근 114
 
2.4%
처 112
 
2.3%
포 108
 
2.3%
리 97
 
2.0%
주 96
 
2.0%
길 95
 
2.0%
Other values (330) 3582
74.7%
Decimal Number
ValueCountFrequency (%)
1 158
30.0%
2 72
13.7%
3 50
 
9.5%
4 47
 
8.9%
6 45
 
8.5%
5 39
 
7.4%
0 35
 
6.6%
8 29
 
5.5%
7 26
 
4.9%
9 26
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
c 2
25.0%
u 2
25.0%
h 1
12.5%
l 1
12.5%
k 1
12.5%
s 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
C 2
33.3%
U 1
16.7%
D 1
16.7%
H 1
16.7%
L 1
16.7%
Space Separator
ValueCountFrequency (%)
910
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4792
76.1%
Common 1489
 
23.7%
Latin 14
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 196
 
4.1%
장 142
 
3.0%
동 134
 
2.8%
가 116
 
2.4%
근 114
 
2.4%
처 112
 
2.3%
포 108
 
2.3%
리 97
 
2.0%
주 96
 
2.0%
길 95
 
2.0%
Other values (330) 3582
74.7%
Common
ValueCountFrequency (%)
910
61.1%
1 158
 
10.6%
2 72
 
4.8%
3 50
 
3.4%
4 47
 
3.2%
6 45
 
3.0%
- 44
 
3.0%
5 39
 
2.6%
0 35
 
2.4%
8 29
 
1.9%
Other values (5) 60
 
4.0%
Latin
ValueCountFrequency (%)
c 2
14.3%
u 2
14.3%
C 2
14.3%
U 1
7.1%
h 1
7.1%
l 1
7.1%
D 1
7.1%
H 1
7.1%
L 1
7.1%
k 1
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4792
76.1%
ASCII 1503
 
23.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
910
60.5%
1 158
 
10.5%
2 72
 
4.8%
3 50
 
3.3%
4 47
 
3.1%
6 45
 
3.0%
- 44
 
2.9%
5 39
 
2.6%
0 35
 
2.3%
8 29
 
1.9%
Other values (16) 74
 
4.9%
Hangul
ValueCountFrequency (%)
면 196
 
4.1%
장 142
 
3.0%
동 134
 
2.8%
가 116
 
2.4%
근 114
 
2.4%
처 112
 
2.3%
포 108
 
2.3%
리 97
 
2.0%
주 96
 
2.0%
길 95
 
2.0%
Other values (330) 3582
74.7%

축종
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
개
408 
고양이
232 
기타
 
2

Length

Max length3
Median length1
Mean length1.7258567
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개 408
63.6%
고양이 232
36.1%
기타 2
 
0.3%

Length

2024-03-13T09:10:22.668844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:22.751654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개 408
63.6%
고양이 232
36.1%
기타 2
 
0.3%

품종
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct29
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
믹스견
368 
한국 고양이
211 
기타
 
12
말티즈
 
11
푸들
 
4
Other values (24)
 
36

Length

Max length13
Median length3
Mean length4.0607477
Min length2

Unique

Unique16 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
믹스견 368
57.3%
한국 고양이 211
32.9%
기타 12
 
1.9%
말티즈 11
 
1.7%
푸들 4
 
0.6%
닥스훈트 4
 
0.6%
페르시안 3
 
0.5%
러시안 블루 3
 
0.5%
스피츠 2
 
0.3%
포메라니안 2
 
0.3%
Other values (19) 22
 
3.4%

Length

2024-03-13T09:10:22.834394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
믹스견 368
42.5%
고양이 211
24.4%
한국 211
24.4%
기타 12
 
1.4%
말티즈 11
 
1.3%
푸들 4
 
0.5%
닥스훈트 4
 
0.5%
리트리버 3
 
0.3%
페르시안 3
 
0.3%
러시안 3
 
0.3%
Other values (28) 35
 
4.0%

색상
Text

Distinct122
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-03-13T09:10:22.987828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length4.7507788
Min length2

Characters and Unicode

Total characters3050
Distinct characters33
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)10.1%

Sample

1st row갈색，흰색
2nd row갈색，흰색
3rd row갈색，흰색
4th row갈색，흰색
5th row갈색，흰색
ValueCountFrequency (%)
흰색 113
17.3%
갈색 49
 
7.5%
검정，흰색 40
 
6.1%
갈색，흰색 31
 
4.7%
아이보리 30
 
4.6%
흰색，갈색 27
 
4.1%
연갈색 27
 
4.1%
연갈색，흰색 24
 
3.7%
검정 23
 
3.5%
흰색，검정 15
 
2.3%
Other values (106) 274
42.0%
2024-03-13T09:10:23.366679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
색 860
28.2%
， 470
15.4%
흰 429
14.1%
갈 289
 
9.5%
검 254
 
8.3%
정 182
 
6.0%
연 105
 
3.4%
은 64
 
2.1%
노 52
 
1.7%
이 45
 
1.5%
Other values (23) 300
 
9.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2564
84.1%
Other Punctuation 472
 
15.5%
Space Separator 14
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
색 860
33.5%
흰 429
16.7%
갈 289
 
11.3%
검 254
 
9.9%
정 182
 
7.1%
연 105
 
4.1%
은 64
 
2.5%
노 52
 
2.0%
이 45
 
1.8%
보 37
 
1.4%
Other values (20) 247
 
9.6%
Other Punctuation
ValueCountFrequency (%)
， 470
99.6%
& 2
 
0.4%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2564
84.1%
Common 486
 
15.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
색 860
33.5%
흰 429
16.7%
갈 289
 
11.3%
검 254
 
9.9%
정 182
 
7.1%
연 105
 
4.1%
은 64
 
2.5%
노 52
 
2.0%
이 45
 
1.8%
보 37
 
1.4%
Other values (20) 247
 
9.6%
Common
ValueCountFrequency (%)
， 470
96.7%
14
 
2.9%
& 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2564
84.1%
None 470
 
15.4%
ASCII 16
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
색 860
33.5%
흰 429
16.7%
갈 289
 
11.3%
검 254
 
9.9%
정 182
 
7.1%
연 105
 
4.1%
은 64
 
2.5%
노 52
 
2.0%
이 45
 
1.8%
보 37
 
1.4%
Other values (20) 247
 
9.6%
None
ValueCountFrequency (%)
， 470
100.0%
ASCII
ValueCountFrequency (%)
14
87.5%
& 2
 
12.5%

성별
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
암컷
281 
수컷
184 
미상
177 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
암컷 281
43.8%
수컷 184
28.7%
미상 177
27.6%

Length

2024-03-13T09:10:23.499843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:23.584364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
암컷 281
43.8%
수컷 184
28.7%
미상 177
27.6%

체중
Real number (ℝ)

HIGH CORRELATION 

Distinct43
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.0080218
Minimum0.1
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2024-03-13T09:10:23.668676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.2
Q11
median4
Q39
95-th percentile18
Maximum60
Range59.9
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.5729034
Coefficient of variation (CV)1.0940212
Kurtosis9.0711976
Mean6.0080218
Median Absolute Deviation (MAD)3.2
Skewness2.2670666
Sum3857.15
Variance43.20306
MonotonicityNot monotonic
2024-03-13T09:10:23.772922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
5.0 59
 
9.2%
1.0 48
 
7.5%
3.0 46
 
7.2%
6.0 41
 
6.4%
4.0 36
 
5.6%
0.5 35
 
5.5%
10.0 35
 
5.5%
2.0 34
 
5.3%
0.2 30
 
4.7%
15.0 28
 
4.4%
Other values (33) 250
38.9%
ValueCountFrequency (%)
0.1 13
 
2.0%
0.2 30
4.7%
0.3 18
2.8%
0.35 1
 
0.2%
0.4 5
 
0.8%
0.5 35
5.5%
0.6 4
 
0.6%
0.7 6
 
0.9%
0.8 23
3.6%
0.9 6
 
0.9%
ValueCountFrequency (%)
60.0 1
 
0.2%
35.0 1
 
0.2%
30.0 8
1.2%
28.0 1
 
0.2%
25.0 7
1.1%
23.0 2
 
0.3%
22.0 1
 
0.2%
20.0 10
1.6%
18.0 9
1.4%
17.0 5
0.8%

나이
Real number (ℝ)

HIGH CORRELATION 

Distinct15
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.7928
Minimum2007
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2024-03-13T09:10:23.862920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2007
5-th percentile2017
Q12019
median2020
Q32022
95-th percentile2022
Maximum2022
Range15
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.2222275
Coefficient of variation (CV)0.0011002254
Kurtosis5.2360313
Mean2019.7928
Median Absolute Deviation (MAD)1
Skewness-1.7885358
Sum1296707
Variance4.9382949
MonotonicityNot monotonic
2024-03-13T09:10:23.947818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2022 168
26.2%
2020 116
18.1%
2021 111
17.3%
2019 109
17.0%
2018 63
 
9.8%
2017 44
 
6.9%
2012 11
 
1.7%
2016 10
 
1.6%
2010 2
 
0.3%
2014 2
 
0.3%
Other values (5) 6
 
0.9%
ValueCountFrequency (%)
2007 1
 
0.2%
2008 1
 
0.2%
2010 2
 
0.3%
2011 1
 
0.2%
2012 11
 
1.7%
2013 2
 
0.3%
2014 2
 
0.3%
2015 1
 
0.2%
2016 10
 
1.6%
2017 44
6.9%
ValueCountFrequency (%)
2022 168
26.2%
2021 111
17.3%
2020 116
18.1%
2019 109
17.0%
2018 63
 
9.8%
2017 44
 
6.9%
2016 10
 
1.6%
2015 1
 
0.2%
2014 2
 
0.3%
2013 2
 
0.3%

업무진행단계
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
보호중
642 

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 642
100.0%

Length

2024-03-13T09:10:24.048430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:24.134041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보호중 642
100.0%

중성화
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
아니오
518 
<NA>
77 
예
 
27
미상
 
20

Length

Max length4
Median length3
Mean length3.0046729
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
아니오 518
80.7%
<NA> 77
 
12.0%
예 27
 
4.2%
미상 20
 
3.1%

Length

2024-03-13T09:10:24.221056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:24.307110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아니오 518
80.7%
na 77
 
12.0%
예 27
 
4.2%
미상 20
 
3.1%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2022-07-19
642 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-07-19
2nd row2022-07-19
3rd row2022-07-19
4th row2022-07-19
5th row2022-07-19

Common Values

ValueCountFrequency (%)
2022-07-19 642
100.0%

Length

2024-03-13T09:10:24.391178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:24.461273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-07-19 642
100.0%

Interactions

2024-03-13T09:10:20.108598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:10:19.964282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:10:20.181844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:10:20.034317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T09:10:24.506091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
축종품종성별체중나이중성화
축종1.0001.0000.8740.4970.3900.302
품종1.0001.0000.7900.8360.7410.514
성별0.8740.7901.0000.4100.3750.501
체중0.4970.8360.4101.0000.2830.182
나이0.3900.7410.3750.2831.0000.477
중성화0.3020.5140.5010.1820.4771.000
2024-03-13T09:10:24.587006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
품종축종중성화성별
품종1.0000.9790.3130.573
축종0.9791.0000.1010.570
중성화0.3130.1011.0000.204
성별0.5730.5700.2041.000
2024-03-13T09:10:24.676484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
체중나이축종품종성별중성화
체중1.000-0.5970.3830.4820.3020.123
나이-0.5971.0000.2540.3780.2390.355
축종0.3830.2541.0000.9790.5700.101
품종0.4820.3780.9791.0000.5730.313
성별0.3020.2390.5700.5731.0000.204
중성화0.1230.3550.1010.3130.2041.000

Missing values

2024-03-13T09:10:20.290008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T09:10:20.431072image/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-거제-2022-006932022-07-18~2022-07-28경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-07-18장목면시방마을입구개믹스견갈색，흰색수컷2.02022보호중아니오2022-07-19
1경남-거제-2022-006882022-07-18~2022-07-28경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-07-18장목면시방마을입구개믹스견갈색，흰색수컷2.02022보호중아니오2022-07-19
2경남-거제-2022-006892022-07-18~2022-07-28경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-07-18장목면시방마을입구개믹스견갈색，흰색암컷2.02022보호중아니오2022-07-19
3경남-거제-2022-006902022-07-18~2022-07-28경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-07-18장목면시방마을입구개믹스견갈색，흰색암컷2.02022보호중아니오2022-07-19
4경남-거제-2022-006912022-07-18~2022-07-28경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-07-18장목면시방마을입구개믹스견갈색，흰색암컷2.02022보호중아니오2022-07-19
5경남-거제-2022-006922022-07-18~2022-07-28경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-07-18연사3길 1번지고양이한국 고양이흰색，노란색，검은색암컷5.02019보호중아니오2022-07-19
6경남-거제-2022-006872022-07-18~2022-07-28경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-07-09옥포 DC마트 근처고양이한국 고양이흰색，노란색，검은색암컷1.02022보호중아니오2022-07-19
7경남-거제-2022-006862022-07-18~2022-07-28경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-07-17하청 유계리 1600근처개믹스견검은색，회색수컷6.02017보호중아니오2022-07-19
8경남-거제-2022-006842022-07-18~2022-07-28경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-07-16마전동 무학빌라 앞고양이한국 고양이흰색미상1.02022보호중아니오2022-07-19
9경남-거제-2022-006832022-07-17~2022-07-27경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-07-17양정 아이파크 1차 화단고양이한국 고양이흰색，노란색미상0.52022보호중아니오2022-07-19
공고번호공고기간보호장소접수일시발생장소축종품종색상성별체중나이업무진행단계중성화기준일자
632경남-거제-2020-002432020-03-19~2020-03-30경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소2020-03-19동부면 산양4길 주택가개믹스견흰색，연갈색암컷3.02020보호중아니오2022-07-19
633경남-거제-2020-002352020-03-18~2020-03-30경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소2020-03-18고현 한솔그랑빌고양이기타갈색，흰색미상3.02018보호중<NA>2022-07-19
634경남-거제-2020-001562020-02-24~2020-03-05경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소2020-02-23신계마을 입구근처개믹스견갈검색수컷2.02020보호중아니오2022-07-19
635경남-거제-2020-001382020-02-20~2020-03-02경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소2020-02-20지세포리 301 주택가개믹스견흰색암컷5.02017보호중아니오2022-07-19
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