Overview

Dataset statistics

Number of variables14
Number of observations460
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory51.3 KiB
Average record size in memory114.3 B

Variable types

Text4
Categorical6
DateTime2
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 (64.1%)Imbalance
공고번호 has unique valuesUnique

Reproduction

Analysis started2024-03-13 00:10:25.578166
Analysis finished2024-03-13 00:10:26.552899
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공고번호
Text

UNIQUE 

Distinct460
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-03-13T09:10:26.686474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length16.234783
Min length14

Characters and Unicode

Total characters7468
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

Unique460 ?
Unique (%)100.0%

Sample

1st row경남-거제시-2022-00326
2nd row경남-거제시-2022-00325
3rd row경남-거제시-2022-00324
4th row경남-거제시-2022-00323
5th row경남-거제시-2022-00322
ValueCountFrequency (%)
경남-거제시-2022-00326 1
 
0.2%
경남-거제-2021-00589 1
 
0.2%
경남-거제-2021-00596 1
 
0.2%
경남-거제-2021-00597 1
 
0.2%
경남-거제-2021-00600 1
 
0.2%
경남-거제-2021-00610 1
 
0.2%
경남-거제-2021-00634 1
 
0.2%
경남-거제-2021-00635 1
 
0.2%
경남-거제-2021-00641 1
 
0.2%
경남-거제-2021-00642 1
 
0.2%
Other values (450) 450
97.8%
2024-03-13T09:10:26.963219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1550
20.8%
- 1380
18.5%
2 1294
17.3%
1 499
 
6.7%
경 460
 
6.2%
남 460
 
6.2%
거 459
 
6.1%
제 459
 
6.1%
3 133
 
1.8%
8 123
 
1.6%
Other values (6) 651
8.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4140
55.4%
Other Letter 1948
26.1%
Dash Punctuation 1380
 
18.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1550
37.4%
2 1294
31.3%
1 499
 
12.1%
3 133
 
3.2%
8 123
 
3.0%
7 121
 
2.9%
4 119
 
2.9%
6 106
 
2.6%
5 98
 
2.4%
9 97
 
2.3%
Other Letter
ValueCountFrequency (%)
경 460
23.6%
남 460
23.6%
거 459
23.6%
제 459
23.6%
시 110
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 1380
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5520
73.9%
Hangul 1948
 
26.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1550
28.1%
- 1380
25.0%
2 1294
23.4%
1 499
 
9.0%
3 133
 
2.4%
8 123
 
2.2%
7 121
 
2.2%
4 119
 
2.2%
6 106
 
1.9%
5 98
 
1.8%
Hangul
ValueCountFrequency (%)
경 460
23.6%
남 460
23.6%
거 459
23.6%
제 459
23.6%
시 110
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5520
73.9%
Hangul 1948
 
26.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1550
28.1%
- 1380
25.0%
2 1294
23.4%
1 499
 
9.0%
3 133
 
2.4%
8 123
 
2.2%
7 121
 
2.2%
4 119
 
2.2%
6 106
 
1.9%
5 98
 
1.8%
Hangul
ValueCountFrequency (%)
경 460
23.6%
남 460
23.6%
거 459
23.6%
제 459
23.6%
시 110
 
5.6%

공고기간
Text

Distinct242
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-03-13T09:10:27.158848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters9660
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

Unique137 ?
Unique (%)29.8%

Sample

1st row2022-05-13~2022-05-23
2nd row2022-05-13~2022-05-23
3rd row2022-05-13~2022-05-23
4th row2022-05-13~2022-05-23
5th row2022-05-13~2022-05-23
ValueCountFrequency (%)
2022-05-09~2022-05-19 13
 
2.8%
2022-03-14~2022-03-24 9
 
2.0%
2022-03-07~2022-03-17 8
 
1.7%
2022-02-18~2022-02-28 7
 
1.5%
2021-01-12~2021-01-22 6
 
1.3%
2022-05-04~2022-05-16 6
 
1.3%
2022-05-02~2022-05-12 6
 
1.3%
2021-06-17~2021-06-28 6
 
1.3%
2021-01-25~2021-02-04 6
 
1.3%
2022-04-20~2022-05-02 5
 
1.1%
Other values (232) 388
84.3%
2024-03-13T09:10:27.452162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2763
28.6%
0 2235
23.1%
- 1840
19.0%
1 1040
 
10.8%
~ 460
 
4.8%
3 261
 
2.7%
5 235
 
2.4%
4 203
 
2.1%
7 188
 
1.9%
8 169
 
1.7%
Other values (2) 266
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7360
76.2%
Dash Punctuation 1840
 
19.0%
Math Symbol 460
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2763
37.5%
0 2235
30.4%
1 1040
 
14.1%
3 261
 
3.5%
5 235
 
3.2%
4 203
 
2.8%
7 188
 
2.6%
8 169
 
2.3%
9 147
 
2.0%
6 119
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 1840
100.0%
Math Symbol
ValueCountFrequency (%)
~ 460
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9660
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2763
28.6%
0 2235
23.1%
- 1840
19.0%
1 1040
 
10.8%
~ 460
 
4.8%
3 261
 
2.7%
5 235
 
2.4%
4 203
 
2.1%
7 188
 
1.9%
8 169
 
1.7%
Other values (2) 266
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9660
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2763
28.6%
0 2235
23.1%
- 1840
19.0%
1 1040
 
10.8%
~ 460
 
4.8%
3 261
 
2.7%
5 235
 
2.4%
4 203
 
2.1%
7 188
 
1.9%
8 169
 
1.7%
Other values (2) 266
 
2.8%

보호장소
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소
460 

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 460
100.0%

Length

2024-03-13T09:10:27.580279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:27.653664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 460
14.3%
거제시 460
14.3%
사등면 460
14.3%
두동로1길 460
14.3%
109 460
14.3%
사등면，한국자원재생공사폐비닐적재장 460
14.3%
거제시유기동물보호소 460
14.3%

접수일시
Date

Distinct269
Distinct (%)58.5%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum2020-01-06 00:00:00
Maximum2022-05-13 00:00:00
2024-03-13T09:10:27.732629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:10:27.834615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

발생장소
Text

Distinct376
Distinct (%)81.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-03-13T09:10:28.031656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length18.917391
Min length12

Characters and Unicode

Total characters8702
Distinct characters330
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique329 ?
Unique (%)71.5%

Sample

1st row경상남도 거제시 대우조선 내
2nd row경상남도 거제시 사등면 주택가
3rd row경상남도 거제시 사등면 주택가
4th row경상남도 거제시 사등면 주택가
5th row경상남도 거제시 사등면 주택가
ValueCountFrequency (%)
거제시 461
23.0%
경상남도 460
23.0%
근처 54
 
2.7%
거제면 27
 
1.3%
사등면 25
 
1.2%
주택가 19
 
0.9%
연초면 18
 
0.9%
와현 15
 
0.7%
하청면 13
 
0.6%
일운면 13
 
0.6%
Other values (534) 896
44.8%
2024-03-13T09:10:28.561232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1571
18.1%
제 516
 
5.9%
거 514
 
5.9%
상 490
 
5.6%
도 488
 
5.6%
시 469
 
5.4%
남 468
 
5.4%
경 462
 
5.3%
면 133
 
1.5%
1 132
 
1.5%
Other values (320) 3459
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6651
76.4%
Space Separator 1571
 
18.1%
Decimal Number 431
 
5.0%
Dash Punctuation 35
 
0.4%
Other Punctuation 4
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 516
 
7.8%
거 514
 
7.7%
상 490
 
7.4%
도 488
 
7.3%
시 469
 
7.1%
남 468
 
7.0%
경 462
 
6.9%
면 133
 
2.0%
장 96
 
1.4%
근 95
 
1.4%
Other values (299) 2920
43.9%
Decimal Number
ValueCountFrequency (%)
1 132
30.6%
2 61
14.2%
6 43
 
10.0%
4 37
 
8.6%
3 37
 
8.6%
5 32
 
7.4%
9 23
 
5.3%
7 22
 
5.1%
0 22
 
5.1%
8 22
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
u 1
25.0%
c 1
25.0%
s 1
25.0%
k 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
H 1
50.0%
Space Separator
ValueCountFrequency (%)
1571
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
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 6651
76.4%
Common 2045
 
23.5%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 516
 
7.8%
거 514
 
7.7%
상 490
 
7.4%
도 488
 
7.3%
시 469
 
7.1%
남 468
 
7.0%
경 462
 
6.9%
면 133
 
2.0%
장 96
 
1.4%
근 95
 
1.4%
Other values (299) 2920
43.9%
Common
ValueCountFrequency (%)
1571
76.8%
1 132
 
6.5%
2 61
 
3.0%
6 43
 
2.1%
4 37
 
1.8%
3 37
 
1.8%
- 35
 
1.7%
5 32
 
1.6%
9 23
 
1.1%
7 22
 
1.1%
Other values (5) 52
 
2.5%
Latin
ValueCountFrequency (%)
u 1
16.7%
c 1
16.7%
L 1
16.7%
H 1
16.7%
s 1
16.7%
k 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6651
76.4%
ASCII 2047
 
23.5%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1571
76.7%
1 132
 
6.4%
2 61
 
3.0%
6 43
 
2.1%
4 37
 
1.8%
3 37
 
1.8%
- 35
 
1.7%
5 32
 
1.6%
9 23
 
1.1%
7 22
 
1.1%
Other values (10) 54
 
2.6%
Hangul
ValueCountFrequency (%)
제 516
 
7.8%
거 514
 
7.7%
상 490
 
7.4%
도 488
 
7.3%
시 469
 
7.1%
남 468
 
7.0%
경 462
 
6.9%
면 133
 
2.0%
장 96
 
1.4%
근 95
 
1.4%
Other values (299) 2920
43.9%
None
ValueCountFrequency (%)
， 4
100.0%

축종
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
개
326 
고양이
132 
기타
 
2

Length

Max length3
Median length1
Mean length1.5782609
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개 326
70.9%
고양이 132
28.7%
기타 2
 
0.4%

Length

2024-03-13T09:10:28.676299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:28.761674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개 326
70.9%
고양이 132
28.7%
기타 2
 
0.4%

품종
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct25
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
믹스견
299 
한국 고양이
112 
기타
 
12
말티즈
 
6
닥스훈트
 
3
Other values (20)
 
28

Length

Max length13
Median length3
Mean length3.8086957
Min length2

Unique

Unique13 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
믹스견 299
65.0%
한국 고양이 112
 
24.3%
기타 12
 
2.6%
말티즈 6
 
1.3%
닥스훈트 3
 
0.7%
러시안 블루 3
 
0.7%
스피츠 2
 
0.4%
페르시안 2
 
0.4%
<NA> 2
 
0.4%
골든 리트리버 2
 
0.4%
Other values (15) 17
 
3.7%

Length

2024-03-13T09:10:28.844625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
믹스견 299
51.5%
고양이 112
 
19.3%
한국 112
 
19.3%
기타 12
 
2.1%
말티즈 6
 
1.0%
리트리버 3
 
0.5%
닥스훈트 3
 
0.5%
러시안 3
 
0.5%
블루 3
 
0.5%
푸들 2
 
0.3%
Other values (21) 26
 
4.5%

색상
Text

Distinct100
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-03-13T09:10:28.970572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length4.5413043
Min length2

Characters and Unicode

Total characters2089
Distinct characters31
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

Unique60 ?
Unique (%)13.0%

Sample

1st row검정，흰색
2nd row흰색，연갈색
3rd row검정，흰색，연갈색
4th row검정，갈색
5th row검정，갈색
ValueCountFrequency (%)
흰색 85
18.2%
갈색 38
 
8.2%
검정，흰색 31
 
6.7%
아이보리 24
 
5.2%
검정 19
 
4.1%
연갈색 19
 
4.1%
연갈색，흰색 17
 
3.6%
흰색，갈색 15
 
3.2%
갈색，흰색 13
 
2.8%
갈색.검은색 11
 
2.4%
Other values (85) 194
41.6%
2024-03-13T09:10:29.207464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
색 597
28.6%
흰 296
14.2%
갈 224
 
10.7%
， 221
 
10.6%
검 175
 
8.4%
정 122
 
5.8%
. 87
 
4.2%
연 76
 
3.6%
은 48
 
2.3%
이 36
 
1.7%
Other values (21) 207
 
9.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1771
84.8%
Other Punctuation 310
 
14.8%
Space Separator 8
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
색 597
33.7%
흰 296
16.7%
갈 224
 
12.6%
검 175
 
9.9%
정 122
 
6.9%
연 76
 
4.3%
은 48
 
2.7%
이 36
 
2.0%
아 28
 
1.6%
보 28
 
1.6%
Other values (17) 141
 
8.0%
Other Punctuation
ValueCountFrequency (%)
， 221
71.3%
. 87
 
28.1%
& 2
 
0.6%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1771
84.8%
Common 318
 
15.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
색 597
33.7%
흰 296
16.7%
갈 224
 
12.6%
검 175
 
9.9%
정 122
 
6.9%
연 76
 
4.3%
은 48
 
2.7%
이 36
 
2.0%
아 28
 
1.6%
보 28
 
1.6%
Other values (17) 141
 
8.0%
Common
ValueCountFrequency (%)
， 221
69.5%
. 87
 
27.4%
8
 
2.5%
& 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1771
84.8%
None 221
 
10.6%
ASCII 97
 
4.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
색 597
33.7%
흰 296
16.7%
갈 224
 
12.6%
검 175
 
9.9%
정 122
 
6.9%
연 76
 
4.3%
은 48
 
2.7%
이 36
 
2.0%
아 28
 
1.6%
보 28
 
1.6%
Other values (17) 141
 
8.0%
None
ValueCountFrequency (%)
， 221
100.0%
ASCII
ValueCountFrequency (%)
. 87
89.7%
8
 
8.2%
& 2
 
2.1%

성별
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
암컷
214 
수컷
149 
미상
97 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
암컷 214
46.5%
수컷 149
32.4%
미상 97
21.1%

Length

2024-03-13T09:10:29.303969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:29.375364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
암컷 214
46.5%
수컷 149
32.4%
미상 97
21.1%

체중
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5855435
Minimum0.1
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-03-13T09:10:29.453483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.2
Q11.5
median5
Q39
95-th percentile20
Maximum60
Range59.9
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation6.796229
Coefficient of variation (CV)1.0319921
Kurtosis9.8269488
Mean6.5855435
Median Absolute Deviation (MAD)3.75
Skewness2.3320286
Sum3029.35
Variance46.188728
MonotonicityNot monotonic
2024-03-13T09:10:29.551483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
5.0 42
 
9.1%
6.0 34
 
7.4%
3.0 32
 
7.0%
4.0 31
 
6.7%
1.0 30
 
6.5%
10.0 26
 
5.7%
2.0 25
 
5.4%
7.0 24
 
5.2%
15.0 23
 
5.0%
8.0 23
 
5.0%
Other values (31) 170
37.0%
ValueCountFrequency (%)
0.1 13
2.8%
0.2 16
3.5%
0.3 8
1.7%
0.35 1
 
0.2%
0.4 2
 
0.4%
0.5 19
4.1%
0.6 2
 
0.4%
0.7 3
 
0.7%
0.8 10
2.2%
0.9 1
 
0.2%
ValueCountFrequency (%)
60.0 1
 
0.2%
35.0 1
 
0.2%
30.0 6
1.3%
28.0 1
 
0.2%
25.0 6
1.3%
23.0 2
 
0.4%
22.0 1
 
0.2%
20.0 8
1.7%
18.0 6
1.3%
17.0 3
 
0.7%

나이
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.5761
Minimum2010
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-03-13T09:10:29.651324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2010
5-th percentile2017
Q12019
median2020
Q32021
95-th percentile2022
Maximum2022
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8625637
Coefficient of variation (CV)0.0009222548
Kurtosis3.9928277
Mean2019.5761
Median Absolute Deviation (MAD)1
Skewness-1.4165303
Sum929005
Variance3.4691437
MonotonicityNot monotonic
2024-03-13T09:10:29.772990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2020 100
21.7%
2019 97
21.1%
2021 97
21.1%
2022 60
13.0%
2018 58
12.6%
2017 31
 
6.7%
2016 7
 
1.5%
2012 6
 
1.3%
2013 2
 
0.4%
2014 1
 
0.2%
ValueCountFrequency (%)
2010 1
 
0.2%
2012 6
 
1.3%
2013 2
 
0.4%
2014 1
 
0.2%
2016 7
 
1.5%
2017 31
 
6.7%
2018 58
12.6%
2019 97
21.1%
2020 100
21.7%
2021 97
21.1%
ValueCountFrequency (%)
2022 60
13.0%
2021 97
21.1%
2020 100
21.7%
2019 97
21.1%
2018 58
12.6%
2017 31
 
6.7%
2016 7
 
1.5%
2014 1
 
0.2%
2013 2
 
0.4%
2012 6
 
1.3%

업무진행단계
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
보호중
460 

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 460
100.0%

Length

2024-03-13T09:10:29.877047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:29.944281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보호중 460
100.0%

중성화
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
아니오
367 
<NA>
71 
예
 
22

Length

Max length4
Median length3
Mean length3.0586957
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
아니오 367
79.8%
<NA> 71
 
15.4%
예 22
 
4.8%

Length

2024-03-13T09:10:30.016570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:30.092638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아니오 367
79.8%
na 71
 
15.4%
예 22
 
4.8%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum2022-10-19 00:00:00
Maximum2022-10-19 00:00:00
2024-03-13T09:10:30.154187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:10:30.220241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-13T09:10:26.192347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:10:26.056699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:10:26.261616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:10:26.124427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T09:10:30.276035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
축종품종색상성별체중나이중성화
축종1.0001.0000.7640.8680.4660.4220.078
품종1.0001.0000.8430.8300.7830.5920.281
색상0.7640.8431.0000.6090.0000.0000.000
성별0.8680.8300.6091.0000.3970.4540.182
체중0.4660.7830.0000.3971.0000.3030.186
나이0.4220.5920.0000.4540.3031.0000.287
중성화0.0780.2810.0000.1820.1860.2871.000
2024-03-13T09:10:30.355048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
품종축종중성화성별
품종1.0000.9760.2170.566
축종0.9761.0000.1290.560
중성화0.2170.1291.0000.299
성별0.5660.5600.2991.000
2024-03-13T09:10:30.434657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
체중나이축종품종성별중성화
체중1.000-0.5560.3520.4720.2900.197
나이-0.5561.0000.2000.2630.2230.342
축종0.3520.2001.0000.9760.5600.129
품종0.4720.2630.9761.0000.5660.217
성별0.2900.2230.5600.5661.0000.299
중성화0.1970.3420.1290.2170.2991.000

Missing values

2024-03-13T09:10:26.365018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T09:10:26.501366image/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-2022-003262022-05-13~2022-05-23경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-05-13경상남도 거제시 대우조선 내고양이한국 고양이검정，흰색미상0.52022보호중아니오2022-10-19
1경남-거제시-2022-003252022-05-13~2022-05-23경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-05-13경상남도 거제시 사등면 주택가개믹스견흰색，연갈색수컷15.02020보호중아니오2022-10-19
2경남-거제시-2022-003242022-05-13~2022-05-23경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-05-13경상남도 거제시 사등면 주택가개믹스견검정，흰색，연갈색수컷22.02019보호중아니오2022-10-19
3경남-거제시-2022-003232022-05-13~2022-05-23경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-05-13경상남도 거제시 사등면 주택가개믹스견검정，갈색암컷17.02020보호중아니오2022-10-19
4경남-거제시-2022-003222022-05-13~2022-05-23경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-05-13경상남도 거제시 사등면 주택가개믹스견검정，갈색수컷25.02019보호중아니오2022-10-19
5경남-거제시-2022-003212022-05-12~2022-05-23경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-05-12경상남도 거제시 동부면 부춘리 송토골길41개믹스견흰색수컷18.02019보호중아니오2022-10-19
6경남-거제시-2022-003202022-05-12~2022-05-23경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-05-12경상남도 거제시 수양동 주택가개믹스견연갈색，흰색，검정암컷13.02020보호중<NA>2022-10-19
7경남-거제시-2022-003182022-05-11~2022-05-23경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-05-11경상남도 거제시 고현 함바식당 뒤고양이한국 고양이흰색，연갈색，검정미상0.52022보호중아니오2022-10-19
8경남-거제시-2022-003172022-05-11~2022-05-23경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-05-11경상남도 거제시 고현 함바식당 뒤고양이한국 고양이검정，연갈색미상0.52022보호중아니오2022-10-19
9경남-거제시-2022-003152022-05-10~2022-05-20경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소2022-05-08경상남도 거제시 옥포 국민은행 뒤고양이한국 고양이흰색，연갈색미상0.52022보호중아니오2022-10-19
공고번호공고기간보호장소접수일시발생장소축종품종색상성별체중나이업무진행단계중성화기준일자
450경남-거제-2020-002432020-03-19~2020-03-30경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소2020-03-19경상남도 거제시 동부면 산양4길 주택가개믹스견흰색，연갈색암컷3.02020보호중아니오2022-10-19
451경남-거제-2020-002352020-03-18~2020-03-30경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소2020-03-18경상남도 거제시 고현 한솔그랑빌고양이기타갈색，흰색미상3.02018보호중<NA>2022-10-19
452경남-거제-2020-001562020-02-24~2020-03-05경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소2020-02-23경상남도 거제시 신계마을 입구근처개믹스견갈검색수컷2.02020보호중아니오2022-10-19
453경남-거제-2020-001382020-02-20~2020-03-02경상남도 거제시 사등면 두동로1길 109 (사등면，한국자원재생공사폐비닐적재장) 거제시유기동물보호소2020-02-20경상남도 거제시 지세포리 301 주택가개믹스견흰색암컷5.02017보호중아니오2022-10-19
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