Overview

Dataset statistics

Number of variables17
Number of observations237
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.5 KiB
Average record size in memory140.6 B

Variable types

Text4
Categorical9
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
위도 has constant value ""Constant
경도 has constant value ""Constant
업무진행단계 has constant value ""Constant
처리결과 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 (56.1%)Imbalance
중성화 is highly imbalanced (85.2%)Imbalance
공고번호 has unique valuesUnique

Reproduction

Analysis started2024-03-13 00:10:31.230679
Analysis finished2024-03-13 00:10:32.366055
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공고번호
Text

UNIQUE 

Distinct237
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-03-13T09:10:32.476374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length16
Min length16

Characters and Unicode

Total characters3792
Distinct characters15
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

Unique237 ?
Unique (%)100.0%

Sample

1st row경남-거제-2021-00901
2nd row경남-거제-2021-00900
3rd row경남-거제-2021-00899
4th row경남-거제-2021-00898
5th row경남-거제-2021-00897
ValueCountFrequency (%)
경남-거제-2021-00901 1
 
0.4%
경남-거제-2021-00520 1
 
0.4%
경남-거제-2021-00494 1
 
0.4%
경남-거제-2021-00490 1
 
0.4%
경남-거제-2021-00489 1
 
0.4%
경남-거제-2021-00470 1
 
0.4%
경남-거제-2021-00469 1
 
0.4%
경남-거제-2021-00437 1
 
0.4%
경남-거제-2021-00420 1
 
0.4%
경남-거제-2021-00419 1
 
0.4%
Other values (227) 227
95.8%
2024-03-13T09:10:32.725577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 787
20.8%
- 711
18.8%
2 529
14.0%
1 298
 
7.9%
경 237
 
6.2%
남 237
 
6.2%
거 237
 
6.2%
제 237
 
6.2%
8 119
 
3.1%
7 88
 
2.3%
Other values (5) 312
 
8.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2133
56.2%
Other Letter 948
25.0%
Dash Punctuation 711
 
18.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 787
36.9%
2 529
24.8%
1 298
 
14.0%
8 119
 
5.6%
7 88
 
4.1%
6 76
 
3.6%
4 65
 
3.0%
3 62
 
2.9%
5 60
 
2.8%
9 49
 
2.3%
Other Letter
ValueCountFrequency (%)
경 237
25.0%
남 237
25.0%
거 237
25.0%
제 237
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 711
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2844
75.0%
Hangul 948
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 787
27.7%
- 711
25.0%
2 529
18.6%
1 298
 
10.5%
8 119
 
4.2%
7 88
 
3.1%
6 76
 
2.7%
4 65
 
2.3%
3 62
 
2.2%
5 60
 
2.1%
Hangul
ValueCountFrequency (%)
경 237
25.0%
남 237
25.0%
거 237
25.0%
제 237
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2844
75.0%
Hangul 948
 
25.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 787
27.7%
- 711
25.0%
2 529
18.6%
1 298
 
10.5%
8 119
 
4.2%
7 88
 
3.1%
6 76
 
2.7%
4 65
 
2.3%
3 62
 
2.2%
5 60
 
2.1%
Hangul
ValueCountFrequency (%)
경 237
25.0%
남 237
25.0%
거 237
25.0%
제 237
25.0%

공고기간
Text

Distinct91
Distinct (%)38.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-03-13T09:10:32.908006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters4977
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

Unique31 ?
Unique (%)13.1%

Sample

1st row2021-08-18~2021-08-30
2nd row2021-08-18~2021-08-30
3rd row2021-08-18~2021-08-30
4th row2021-08-18~2021-08-30
5th row2021-08-17~2021-08-27
ValueCountFrequency (%)
2021-08-13~2021-08-23 9
 
3.8%
2021-07-12~2021-07-22 8
 
3.4%
2021-08-17~2021-08-27 8
 
3.4%
2021-08-09~2021-08-19 7
 
3.0%
2021-01-25~2021-02-04 7
 
3.0%
2021-01-12~2021-01-22 6
 
2.5%
2021-04-29~2021-05-10 6
 
2.5%
2021-06-17~2021-06-28 6
 
2.5%
2021-08-02~2021-08-12 5
 
2.1%
2021-08-03~2021-08-13 5
 
2.1%
Other values (81) 170
71.7%
2024-03-13T09:10:33.185275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1209
24.3%
0 1121
22.5%
- 948
19.0%
1 713
14.3%
~ 237
 
4.8%
8 170
 
3.4%
7 139
 
2.8%
3 109
 
2.2%
6 107
 
2.1%
5 95
 
1.9%
Other values (2) 129
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3792
76.2%
Dash Punctuation 948
 
19.0%
Math Symbol 237
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1209
31.9%
0 1121
29.6%
1 713
18.8%
8 170
 
4.5%
7 139
 
3.7%
3 109
 
2.9%
6 107
 
2.8%
5 95
 
2.5%
4 70
 
1.8%
9 59
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 948
100.0%
Math Symbol
ValueCountFrequency (%)
~ 237
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4977
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1209
24.3%
0 1121
22.5%
- 948
19.0%
1 713
14.3%
~ 237
 
4.8%
8 170
 
3.4%
7 139
 
2.8%
3 109
 
2.2%
6 107
 
2.1%
5 95
 
1.9%
Other values (2) 129
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4977
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1209
24.3%
0 1121
22.5%
- 948
19.0%
1 713
14.3%
~ 237
 
4.8%
8 170
 
3.4%
7 139
 
2.8%
3 109
 
2.2%
6 107
 
2.1%
5 95
 
1.9%
Other values (2) 129
 
2.6%

보호장소
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소
237 

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 237
100.0%

Length

2024-03-13T09:10:33.292356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:33.375038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사등면 474
25.0%
경상남도 237
12.5%
거제시 237
12.5%
두동로1길 237
12.5%
109 237
12.5%
한국자원재생공사폐비닐적재장 237
12.5%
거제시유기동물보호소 237
12.5%

접수일시
Date

Distinct107
Distinct (%)45.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2021-01-11 00:00:00
Maximum2021-08-18 00:00:00
2024-03-13T09:10:33.459997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:10:33.583680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

발생장소
Text

Distinct181
Distinct (%)76.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-03-13T09:10:33.844941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14
Mean length9.6413502
Min length3

Characters and Unicode

Total characters2285
Distinct characters243
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique154 ?
Unique (%)65.0%

Sample

1st row옥포 팔랑포 방파제
2nd row옥포 발랑포 방파제
3rd row옥포 인성아파트앞
4th row동부면 가배 조이원팬션
5th row하청리 528
ValueCountFrequency (%)
근처 24
 
4.4%
거제면 14
 
2.6%
연초면 14
 
2.6%
사등면 13
 
2.4%
둔덕면 9
 
1.6%
승마장 9
 
1.6%
옥포 9
 
1.6%
오비리 9
 
1.6%
하청면 9
 
1.6%
정문 8
 
1.5%
Other values (286) 430
78.5%
2024-03-13T09:10:34.226833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
320
 
14.0%
면 76
 
3.3%
1 75
 
3.3%
장 49
 
2.1%
리 48
 
2.1%
포 48
 
2.1%
동 42
 
1.8%
길 39
 
1.7%
근 37
 
1.6%
처 36
 
1.6%
Other values (233) 1515
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1718
75.2%
Space Separator 320
 
14.0%
Decimal Number 219
 
9.6%
Dash Punctuation 22
 
1.0%
Lowercase Letter 4
 
0.2%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 76
 
4.4%
장 49
 
2.9%
리 48
 
2.8%
포 48
 
2.8%
동 42
 
2.4%
길 39
 
2.3%
근 37
 
2.2%
처 36
 
2.1%
로 33
 
1.9%
마 30
 
1.7%
Other values (215) 1280
74.5%
Decimal Number
ValueCountFrequency (%)
1 75
34.2%
2 25
 
11.4%
4 21
 
9.6%
9 19
 
8.7%
8 17
 
7.8%
3 15
 
6.8%
5 14
 
6.4%
0 12
 
5.5%
6 11
 
5.0%
7 10
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
u 1
25.0%
c 1
25.0%
s 1
25.0%
k 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
H 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
320
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1718
75.2%
Common 561
 
24.6%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 76
 
4.4%
장 49
 
2.9%
리 48
 
2.8%
포 48
 
2.8%
동 42
 
2.4%
길 39
 
2.3%
근 37
 
2.2%
처 36
 
2.1%
로 33
 
1.9%
마 30
 
1.7%
Other values (215) 1280
74.5%
Common
ValueCountFrequency (%)
320
57.0%
1 75
 
13.4%
2 25
 
4.5%
- 22
 
3.9%
4 21
 
3.7%
9 19
 
3.4%
8 17
 
3.0%
3 15
 
2.7%
5 14
 
2.5%
0 12
 
2.1%
Other values (2) 21
 
3.7%
Latin
ValueCountFrequency (%)
u 1
16.7%
c 1
16.7%
s 1
16.7%
k 1
16.7%
H 1
16.7%
L 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1718
75.2%
ASCII 567
 
24.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
320
56.4%
1 75
 
13.2%
2 25
 
4.4%
- 22
 
3.9%
4 21
 
3.7%
9 19
 
3.4%
8 17
 
3.0%
3 15
 
2.6%
5 14
 
2.5%
0 12
 
2.1%
Other values (8) 27
 
4.8%
Hangul
ValueCountFrequency (%)
면 76
 
4.4%
장 49
 
2.9%
리 48
 
2.8%
포 48
 
2.8%
동 42
 
2.4%
길 39
 
2.3%
근 37
 
2.2%
처 36
 
2.1%
로 33
 
1.9%
마 30
 
1.7%
Other values (215) 1280
74.5%

위도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
34.88376934
237 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row34.88376934
2nd row34.88376934
3rd row34.88376934
4th row34.88376934
5th row34.88376934

Common Values

ValueCountFrequency (%)
34.88376934 237
100.0%

Length

2024-03-13T09:10:34.329939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:34.398678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
34.88376934 237
100.0%

경도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
128.573675
237 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row128.573675
2nd row128.573675
3rd row128.573675
4th row128.573675
5th row128.573675

Common Values

ValueCountFrequency (%)
128.573675 237
100.0%

Length

2024-03-13T09:10:34.471827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:34.537895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
128.573675 237
100.0%

축종
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
개
143 
고양이
92 
기타
 
2

Length

Max length3
Median length1
Mean length1.7848101
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개 143
60.3%
고양이 92
38.8%
기타 2
 
0.8%

Length

2024-03-13T09:10:34.631635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:34.717336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개 143
60.3%
고양이 92
38.8%
기타 2
 
0.8%

품종
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct18
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
믹스견
123 
한국 고양이
86 
말티즈
 
5
기타
 
4
베들링턴 테리어
 
2
Other values (13)
17 

Length

Max length13
Median length3
Mean length4.2362869
Min length2

Unique

Unique9 ?
Unique (%)3.8%

Sample

1st row베들링턴 테리어
2nd row베들링턴 테리어
3rd row스피츠
4th row미니어쳐 핀셔
5th row믹스견

Common Values

ValueCountFrequency (%)
믹스견 123
51.9%
한국 고양이 86
36.3%
말티즈 5
 
2.1%
기타 4
 
1.7%
베들링턴 테리어 2
 
0.8%
미니어쳐 핀셔 2
 
0.8%
토끼 2
 
0.8%
닥스훈트 2
 
0.8%
푸들 2
 
0.8%
포메라니안 1
 
0.4%
Other values (8) 8
 
3.4%

Length

2024-03-13T09:10:34.804595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
믹스견 123
37.0%
고양이 86
25.9%
한국 86
25.9%
말티즈 5
 
1.5%
기타 4
 
1.2%
핀셔 2
 
0.6%
푸들 2
 
0.6%
닥스훈트 2
 
0.6%
토끼 2
 
0.6%
미니어쳐 2
 
0.6%
Other values (16) 18
 
5.4%

색상
Text

Distinct72
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-03-13T09:10:34.984990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length4.8396624
Min length2

Characters and Unicode

Total characters1147
Distinct characters27
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

Unique39 ?
Unique (%)16.5%

Sample

1st row회색.흰색
2nd row회색
3rd row흰색
4th row검은색.갈색
5th row검은색.흰색
ValueCountFrequency (%)
흰색 42
 
17.3%
갈색 20
 
8.2%
검정,흰색 11
 
4.5%
아이보리 9
 
3.7%
연갈색,흰색 9
 
3.7%
흰색,갈색 8
 
3.3%
연갈색 8
 
3.3%
흰색,연갈색 8
 
3.3%
갈색,검정 7
 
2.9%
흰색.갈색 7
 
2.9%
Other values (59) 114
46.9%
2024-03-13T09:10:35.298373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
색 339
29.6%
흰 155
13.5%
, 138
12.0%
갈 124
 
10.8%
검 86
 
7.5%
정 59
 
5.1%
. 44
 
3.8%
연 39
 
3.4%
은 26
 
2.3%
회 20
 
1.7%
Other values (17) 117
 
10.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 957
83.4%
Other Punctuation 182
 
15.9%
Space Separator 8
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
색 339
35.4%
흰 155
16.2%
갈 124
 
13.0%
검 86
 
9.0%
정 59
 
6.2%
연 39
 
4.1%
은 26
 
2.7%
회 20
 
2.1%
노 16
 
1.7%
리 11
 
1.1%
Other values (14) 82
 
8.6%
Other Punctuation
ValueCountFrequency (%)
, 138
75.8%
. 44
 
24.2%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 957
83.4%
Common 190
 
16.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
색 339
35.4%
흰 155
16.2%
갈 124
 
13.0%
검 86
 
9.0%
정 59
 
6.2%
연 39
 
4.1%
은 26
 
2.7%
회 20
 
2.1%
노 16
 
1.7%
리 11
 
1.1%
Other values (14) 82
 
8.6%
Common
ValueCountFrequency (%)
, 138
72.6%
. 44
 
23.2%
8
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 957
83.4%
ASCII 190
 
16.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
색 339
35.4%
흰 155
16.2%
갈 124
 
13.0%
검 86
 
9.0%
정 59
 
6.2%
연 39
 
4.1%
은 26
 
2.7%
회 20
 
2.1%
노 16
 
1.7%
리 11
 
1.1%
Other values (14) 82
 
8.6%
ASCII
ValueCountFrequency (%)
, 138
72.6%
. 44
 
23.2%
8
 
4.2%

성별
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
암컷
99 
미상
75 
수컷
63 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
암컷 99
41.8%
미상 75
31.6%
수컷 63
26.6%

Length

2024-03-13T09:10:35.618336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:35.702952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
암컷 99
41.8%
미상 75
31.6%
수컷 63
26.6%

체중
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8147679
Minimum0.1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-03-13T09:10:35.783754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.2
Q10.9
median3
Q37
95-th percentile15
Maximum25
Range24.9
Interquartile range (IQR)6.1

Descriptive statistics

Standard deviation4.9468096
Coefficient of variation (CV)1.0274243
Kurtosis2.1535101
Mean4.8147679
Median Absolute Deviation (MAD)2.5
Skewness1.4504096
Sum1141.1
Variance24.470925
MonotonicityNot monotonic
2024-03-13T09:10:35.880194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1.0 22
 
9.3%
5.0 19
 
8.0%
3.0 19
 
8.0%
6.0 17
 
7.2%
0.5 15
 
6.3%
10.0 13
 
5.5%
0.2 11
 
4.6%
7.0 11
 
4.6%
4.0 10
 
4.2%
0.8 10
 
4.2%
Other values (21) 90
38.0%
ValueCountFrequency (%)
0.1 8
 
3.4%
0.2 11
4.6%
0.3 6
 
2.5%
0.4 4
 
1.7%
0.5 15
6.3%
0.6 4
 
1.7%
0.7 1
 
0.4%
0.8 10
4.2%
0.9 2
 
0.8%
1.0 22
9.3%
ValueCountFrequency (%)
25.0 2
 
0.8%
20.0 2
 
0.8%
18.0 3
 
1.3%
17.0 1
 
0.4%
15.0 8
3.4%
13.0 4
 
1.7%
12.0 6
2.5%
11.0 2
 
0.8%
10.0 13
5.5%
9.0 5
 
2.1%

나이
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.7004
Minimum2012
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-03-13T09:10:35.963744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile2017
Q12019
median2020
Q32021
95-th percentile2021
Maximum2021
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6257071
Coefficient of variation (CV)0.00080492487
Kurtosis5.8192984
Mean2019.7004
Median Absolute Deviation (MAD)1
Skewness-1.9653587
Sum478669
Variance2.6429236
MonotonicityNot monotonic
2024-03-13T09:10:36.044238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2021 104
43.9%
2019 48
20.3%
2020 41
 
17.3%
2018 30
 
12.7%
2017 5
 
2.1%
2016 4
 
1.7%
2012 3
 
1.3%
2014 2
 
0.8%
ValueCountFrequency (%)
2012 3
 
1.3%
2014 2
 
0.8%
2016 4
 
1.7%
2017 5
 
2.1%
2018 30
 
12.7%
2019 48
20.3%
2020 41
 
17.3%
2021 104
43.9%
ValueCountFrequency (%)
2021 104
43.9%
2020 41
 
17.3%
2019 48
20.3%
2018 30
 
12.7%
2017 5
 
2.1%
2016 4
 
1.7%
2014 2
 
0.8%
2012 3
 
1.3%

업무진행단계
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
보호중
237 

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 237
100.0%

Length

2024-03-13T09:10:36.130718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:36.198614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보호중 237
100.0%

중성화
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
아니오
232 
예
 
5

Length

Max length3
Median length3
Mean length2.9578059
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
아니오 232
97.9%
예 5
 
2.1%

Length

2024-03-13T09:10:36.303042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:36.397534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아니오 232
97.9%
예 5
 
2.1%

처리결과
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
보호중
237 

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 237
100.0%

Length

2024-03-13T09:10:36.473795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:36.539562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보호중 237
100.0%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2021-08-30 00:00:00
Maximum2021-08-30 00:00:00
2024-03-13T09:10:36.594819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:10:36.663229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-13T09:10:31.986078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:10:31.816385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:10:32.052650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:10:31.903726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T09:10:36.722765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공고기간축종품종색상성별체중나이중성화
공고기간1.0000.2310.7580.8610.6970.5360.8450.000
축종0.2311.0001.0000.7040.8880.7280.4140.046
품종0.7581.0001.0000.6680.8470.6380.6430.335
색상0.8610.7040.6681.0000.7100.0000.0000.000
성별0.6970.8880.8470.7101.0000.6840.3570.094
체중0.5360.7280.6380.0000.6841.0000.5690.084
나이0.8450.4140.6430.0000.3570.5691.0000.287
중성화0.0000.0460.3350.0000.0940.0840.2871.000
2024-03-13T09:10:36.810151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
품종축종중성화성별
품종1.0000.9670.2540.577
축종0.9671.0000.0760.593
중성화0.2540.0761.0000.155
성별0.5770.5930.1551.000
2024-03-13T09:10:36.881698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
체중나이축종품종성별중성화
체중1.000-0.7060.4280.2600.3880.082
나이-0.7061.0000.3020.3410.2570.297
축종0.4280.3021.0000.9670.5930.076
품종0.2600.3410.9671.0000.5770.254
성별0.3880.2570.5930.5771.0000.155
중성화0.0820.2970.0760.2540.1551.000

Missing values

2024-03-13T09:10:32.147611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T09:10:32.306606image/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

공고번호공고기간보호장소접수일시발생장소위도경도축종품종색상성별체중나이업무진행단계중성화처리결과기준일자
0경남-거제-2021-009012021-08-18~2021-08-30경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-08-18옥포 팔랑포 방파제34.883769128.573675개베들링턴 테리어회색.흰색수컷8.02019보호중아니오보호중2021-08-30
1경남-거제-2021-009002021-08-18~2021-08-30경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-08-18옥포 발랑포 방파제34.883769128.573675개베들링턴 테리어회색암컷7.02019보호중아니오보호중2021-08-30
2경남-거제-2021-008992021-08-18~2021-08-30경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-08-18옥포 인성아파트앞34.883769128.573675개스피츠흰색수컷5.02017보호중아니오보호중2021-08-30
3경남-거제-2021-008982021-08-18~2021-08-30경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-08-18동부면 가배 조이원팬션34.883769128.573675개미니어쳐 핀셔검은색.갈색수컷4.02019보호중예보호중2021-08-30
4경남-거제-2021-008972021-08-17~2021-08-27경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-08-17하청리 52834.883769128.573675개믹스견검은색.흰색암컷1.02021보호중아니오보호중2021-08-30
5경남-거제-2021-008962021-08-17~2021-08-27경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-08-17하청리 52834.883769128.573675개믹스견갈색.검은색.흰색수컷1.02021보호중아니오보호중2021-08-30
6경남-거제-2021-008952021-08-17~2021-08-27경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-08-17하청리 52834.883769128.573675개믹스견검은색.흰색.진갈색수컷1.02021보호중아니오보호중2021-08-30
7경남-거제-2021-008942021-08-17~2021-08-27경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-08-17옥포이편한 상가34.883769128.573675고양이한국 고양이검정,갈색,황색미상0.52021보호중아니오보호중2021-08-30
8경남-거제-2021-008932021-08-17~2021-08-27경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-08-17연초면 소오비 스카이빌34.883769128.573675개믹스견흰색,갈색수컷8.02020보호중예보호중2021-08-30
9경남-거제-2021-008922021-08-17~2021-08-27경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-08-17한내8길 근처34.883769128.573675개믹스견흰색암컷5.02021보호중아니오보호중2021-08-30
공고번호공고기간보호장소접수일시발생장소위도경도축종품종색상성별체중나이업무진행단계중성화처리결과기준일자
227경남-거제-2021-000352021-01-21~2021-02-01경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-01-21남부면 용궁사 주차장34.883769128.573675개믹스견아이보리암컷1.02021보호중아니오보호중2021-08-30
228경남-거제-2021-000292021-01-15~2021-01-25경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-01-15고현시장 식육점34.883769128.573675고양이한국 고양이갈색,흰색미상4.02018보호중아니오보호중2021-08-30
229경남-거제-2021-000242021-01-13~2021-01-25경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-01-13거제면 소랑마을34.883769128.573675개믹스견갈색,흰색수컷6.02017보호중아니오보호중2021-08-30
230경남-거제-2021-000222021-01-12~2021-01-22경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-01-12마하재활병원 뒷산34.883769128.573675개믹스견검정,갈색암컷6.02018보호중아니오보호중2021-08-30
231경남-거제-2021-000202021-01-12~2021-01-22경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-01-12마하재활병원 뒷산34.883769128.573675개믹스견흰색,검정,연갈암컷8.02018보호중아니오보호중2021-08-30
232경남-거제-2021-000162021-01-12~2021-01-22경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-01-12마하재활병원 뒷산34.883769128.573675개믹스견검정,황갈색암컷2.02021보호중아니오보호중2021-08-30
233경남-거제-2021-000132021-01-12~2021-01-22경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-01-12마하재활병원 뒷산34.883769128.573675개믹스견흰색암컷20.02019보호중아니오보호중2021-08-30
234경남-거제-2021-000112021-01-12~2021-01-22경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-01-12마하재활병원 뒷산34.883769128.573675개믹스견검정수컷25.02018보호중아니오보호중2021-08-30
235경남-거제-2021-000102021-01-12~2021-01-22경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-01-12마하재활병원 뒷산34.883769128.573675개믹스견갈색암컷4.02019보호중예보호중2021-08-30
236경남-거제-2021-000082021-01-11~2021-01-21경상남도 거제시 사등면 두동로1길 109 (사등면, 한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-01-11거제중앙로 1814-134.883769128.573675개믹스견흰색,갈색암컷7.02014보호중아니오보호중2021-08-30