Overview

Dataset statistics

Number of variables17
Number of observations251
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.4 KiB
Average record size in memory140.5 B

Variable types

Text4
Categorical10
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
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 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 (58.9%)Imbalance
공고번호 has unique valuesUnique

Reproduction

Analysis started2024-03-13 00:10:43.465055
Analysis finished2024-03-13 00:10:44.425320
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공고번호
Text

UNIQUE 

Distinct251
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-03-13T09:10:44.535089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length16
Min length16

Characters and Unicode

Total characters4016
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

Unique251 ?
Unique (%)100.0%

Sample

1st row경남-거제-2021-01220
2nd row경남-거제-2021-01219
3rd row경남-거제-2021-01218
4th row경남-거제-2021-01217
5th row경남-거제-2021-01216
ValueCountFrequency (%)
경남-거제-2021-01220 1
 
0.4%
경남-거제-2021-00596 1
 
0.4%
경남-거제-2021-00388 1
 
0.4%
경남-거제-2021-00654 1
 
0.4%
경남-거제-2021-00646 1
 
0.4%
경남-거제-2021-00645 1
 
0.4%
경남-거제-2021-00644 1
 
0.4%
경남-거제-2021-00643 1
 
0.4%
경남-거제-2021-00642 1
 
0.4%
경남-거제-2021-00641 1
 
0.4%
Other values (241) 241
96.0%
2024-03-13T09:10:44.790656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 785
19.5%
- 753
18.8%
2 587
14.6%
1 434
10.8%
251
 
6.2%
251
 
6.2%
251
 
6.2%
251
 
6.2%
7 79
 
2.0%
8 74
 
1.8%
Other values (5) 300
 
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2259
56.2%
Other Letter 1004
25.0%
Dash Punctuation 753
 
18.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 785
34.7%
2 587
26.0%
1 434
19.2%
7 79
 
3.5%
8 74
 
3.3%
6 65
 
2.9%
9 63
 
2.8%
4 62
 
2.7%
3 60
 
2.7%
5 50
 
2.2%
Other Letter
ValueCountFrequency (%)
251
25.0%
251
25.0%
251
25.0%
251
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 753
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3012
75.0%
Hangul 1004
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 785
26.1%
- 753
25.0%
2 587
19.5%
1 434
14.4%
7 79
 
2.6%
8 74
 
2.5%
6 65
 
2.2%
9 63
 
2.1%
4 62
 
2.1%
3 60
 
2.0%
Hangul
ValueCountFrequency (%)
251
25.0%
251
25.0%
251
25.0%
251
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3012
75.0%
Hangul 1004
 
25.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 785
26.1%
- 753
25.0%
2 587
19.5%
1 434
14.4%
7 79
 
2.6%
8 74
 
2.5%
6 65
 
2.2%
9 63
 
2.1%
4 62
 
2.1%
3 60
 
2.0%
Hangul
ValueCountFrequency (%)
251
25.0%
251
25.0%
251
25.0%
251
25.0%
Distinct133
Distinct (%)53.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-03-13T09:10:44.952081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters5271
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

Unique70 ?
Unique (%)27.9%

Sample

1st row2021-12-20~2021-12-30
2nd row2021-12-20~2021-12-30
3rd row2021-12-20~2021-12-30
4th row2021-12-20~2021-12-30
5th row2021-12-18~2021-12-28
ValueCountFrequency (%)
2021-01-25~2021-02-04 7
 
2.8%
2021-07-12~2021-07-22 7
 
2.8%
2021-01-12~2021-01-22 6
 
2.4%
2021-06-17~2021-06-28 6
 
2.4%
2021-10-19~2021-10-29 6
 
2.4%
2021-12-15~2021-12-27 5
 
2.0%
2021-06-28~2021-07-08 4
 
1.6%
2021-10-25~2021-11-04 4
 
1.6%
2021-02-04~2021-02-15 4
 
1.6%
2021-04-29~2021-05-10 4
 
1.6%
Other values (123) 198
78.9%
2024-03-13T09:10:45.243683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1343
25.5%
0 1088
20.6%
- 1004
19.0%
1 916
17.4%
~ 251
 
4.8%
7 131
 
2.5%
5 106
 
2.0%
8 105
 
2.0%
3 90
 
1.7%
6 86
 
1.6%
Other values (2) 151
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4016
76.2%
Dash Punctuation 1004
 
19.0%
Math Symbol 251
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1343
33.4%
0 1088
27.1%
1 916
22.8%
7 131
 
3.3%
5 106
 
2.6%
8 105
 
2.6%
3 90
 
2.2%
6 86
 
2.1%
9 85
 
2.1%
4 66
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 1004
100.0%
Math Symbol
ValueCountFrequency (%)
~ 251
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5271
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1343
25.5%
0 1088
20.6%
- 1004
19.0%
1 916
17.4%
~ 251
 
4.8%
7 131
 
2.5%
5 106
 
2.0%
8 105
 
2.0%
3 90
 
1.7%
6 86
 
1.6%
Other values (2) 151
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5271
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1343
25.5%
0 1088
20.6%
- 1004
19.0%
1 916
17.4%
~ 251
 
4.8%
7 131
 
2.5%
5 106
 
2.0%
8 105
 
2.0%
3 90
 
1.7%
6 86
 
1.6%
Other values (2) 151
 
2.9%

보호장소
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
경상남도 거제시 사등면 두동로1길 109 (사등면,한국자원재생공사폐비닐적재장) 거제시유기동물보호소
251 

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 251
100.0%

Length

2024-03-13T09:10:45.348665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:45.415451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 251
14.3%
거제시 251
14.3%
사등면 251
14.3%
두동로1길 251
14.3%
109 251
14.3%
사등면,한국자원재생공사폐비닐적재장 251
14.3%
거제시유기동물보호소 251
14.3%
Distinct146
Distinct (%)58.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2021-01-12 00:00:00
Maximum2021-12-20 00:00:00
2024-03-13T09:10:45.497342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:10:45.602819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct213
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-03-13T09:10:45.862565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length9.8007968
Min length3

Characters and Unicode

Total characters2460
Distinct characters277
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique190 ?
Unique (%)75.7%

Sample

1st row칠전도 낚시터
2nd row사등면 오량2길
3rd row사등면 오량2길
4th row남부면 탑포마을
5th row아주동 용소빌
ValueCountFrequency (%)
근처 26
 
4.4%
거제면 16
 
2.7%
사등면 14
 
2.4%
연초면 13
 
2.2%
일운면 11
 
1.9%
승마장 9
 
1.5%
오비리 9
 
1.5%
상동 9
 
1.5%
뒷산 8
 
1.4%
장평 7
 
1.2%
Other values (342) 469
79.4%
2024-03-13T09:10:46.246698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
347
 
14.1%
80
 
3.3%
1 73
 
3.0%
63
 
2.6%
60
 
2.4%
47
 
1.9%
46
 
1.9%
44
 
1.8%
43
 
1.7%
42
 
1.7%
Other values (267) 1615
65.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1872
76.1%
Space Separator 347
 
14.1%
Decimal Number 218
 
8.9%
Dash Punctuation 15
 
0.6%
Lowercase Letter 4
 
0.2%
Uppercase Letter 2
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
80
 
4.3%
63
 
3.4%
60
 
3.2%
47
 
2.5%
46
 
2.5%
44
 
2.4%
43
 
2.3%
42
 
2.2%
39
 
2.1%
35
 
1.9%
Other values (247) 1373
73.3%
Decimal Number
ValueCountFrequency (%)
1 73
33.5%
2 31
14.2%
4 24
 
11.0%
8 16
 
7.3%
3 14
 
6.4%
0 14
 
6.4%
9 14
 
6.4%
5 12
 
5.5%
6 10
 
4.6%
7 10
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
u 1
25.0%
c 1
25.0%
k 1
25.0%
s 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
H 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
347
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1872
76.1%
Common 582
 
23.7%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
80
 
4.3%
63
 
3.4%
60
 
3.2%
47
 
2.5%
46
 
2.5%
44
 
2.4%
43
 
2.3%
42
 
2.2%
39
 
2.1%
35
 
1.9%
Other values (247) 1373
73.3%
Common
ValueCountFrequency (%)
347
59.6%
1 73
 
12.5%
2 31
 
5.3%
4 24
 
4.1%
8 16
 
2.7%
- 15
 
2.6%
3 14
 
2.4%
0 14
 
2.4%
9 14
 
2.4%
5 12
 
2.1%
Other values (4) 22
 
3.8%
Latin
ValueCountFrequency (%)
u 1
16.7%
c 1
16.7%
k 1
16.7%
s 1
16.7%
H 1
16.7%
L 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1872
76.1%
ASCII 588
 
23.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
347
59.0%
1 73
 
12.4%
2 31
 
5.3%
4 24
 
4.1%
8 16
 
2.7%
- 15
 
2.6%
3 14
 
2.4%
0 14
 
2.4%
9 14
 
2.4%
5 12
 
2.0%
Other values (10) 28
 
4.8%
Hangul
ValueCountFrequency (%)
80
 
4.3%
63
 
3.4%
60
 
3.2%
47
 
2.5%
46
 
2.5%
44
 
2.4%
43
 
2.3%
42
 
2.2%
39
 
2.1%
35
 
1.9%
Other values (247) 1373
73.3%

위도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
34.88376934
251 

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 251
100.0%

Length

2024-03-13T09:10:46.349198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:46.418513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
34.88376934 251
100.0%

경도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
128.573675
251 

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 251
100.0%

Length

2024-03-13T09:10:46.488325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:46.556973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
128.573675 251
100.0%

축종
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
164 
고양이
87 

Length

Max length3
Median length1
Mean length1.6932271
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
164
65.3%
고양이 87
34.7%

Length

2024-03-13T09:10:46.638863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:46.737216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
164
65.3%
고양이 87
34.7%

품종
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct15
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
믹스견
145 
한국 고양이
83 
말티즈
 
7
러시안 블루
 
2
푸들
 
2
Other values (10)
 
12

Length

Max length7
Median length3
Mean length4.063745
Min length2

Unique

Unique8 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
믹스견 145
57.8%
한국 고양이 83
33.1%
말티즈 7
 
2.8%
러시안 블루 2
 
0.8%
푸들 2
 
0.8%
스피츠 2
 
0.8%
닥스훈트 2
 
0.8%
스코티시폴드 1
 
0.4%
골든 리트리버 1
 
0.4%
기타 1
 
0.4%
Other values (5) 5
 
2.0%

Length

2024-03-13T09:10:46.839161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
믹스견 145
42.8%
고양이 83
24.5%
한국 83
24.5%
말티즈 7
 
2.1%
러시안 2
 
0.6%
블루 2
 
0.6%
푸들 2
 
0.6%
스피츠 2
 
0.6%
닥스훈트 2
 
0.6%
테리어 1
 
0.3%
Other values (10) 10
 
2.9%

색상
Text

Distinct65
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-03-13T09:10:47.016346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length4.5537849
Min length2

Characters and Unicode

Total characters1143
Distinct characters29
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

Unique35 ?
Unique (%)13.9%

Sample

1st row갈색,검정
2nd row흰색
3rd row흰색
4th row흰색
5th row흰색
ValueCountFrequency (%)
흰색 51
20.1%
갈색 24
 
9.4%
흰색,갈색 12
 
4.7%
검정,흰색 11
 
4.3%
검정 11
 
4.3%
연갈색 9
 
3.5%
흰색,검정 8
 
3.1%
흰색.갈색 8
 
3.1%
갈색,흰색 8
 
3.1%
흰색,노랑 7
 
2.8%
Other values (51) 105
41.3%
2024-03-13T09:10:47.317283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
338
29.6%
166
14.5%
133
 
11.6%
128
 
11.2%
97
 
8.5%
69
 
6.0%
. 44
 
3.8%
34
 
3.0%
27
 
2.4%
20
 
1.7%
Other values (19) 87
 
7.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 961
84.1%
Other Punctuation 177
 
15.5%
Space Separator 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
338
35.2%
166
17.3%
128
 
13.3%
97
 
10.1%
69
 
7.2%
34
 
3.5%
27
 
2.8%
20
 
2.1%
12
 
1.2%
8
 
0.8%
Other values (16) 62
 
6.5%
Other Punctuation
ValueCountFrequency (%)
133
75.1%
. 44
 
24.9%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 961
84.1%
Common 182
 
15.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
338
35.2%
166
17.3%
128
 
13.3%
97
 
10.1%
69
 
7.2%
34
 
3.5%
27
 
2.8%
20
 
2.1%
12
 
1.2%
8
 
0.8%
Other values (16) 62
 
6.5%
Common
ValueCountFrequency (%)
133
73.1%
. 44
 
24.2%
5
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 961
84.1%
None 133
 
11.6%
ASCII 49
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
338
35.2%
166
17.3%
128
 
13.3%
97
 
10.1%
69
 
7.2%
34
 
3.5%
27
 
2.8%
20
 
2.1%
12
 
1.2%
8
 
0.8%
Other values (16) 62
 
6.5%
None
ValueCountFrequency (%)
133
100.0%
ASCII
ValueCountFrequency (%)
. 44
89.8%
5
 
10.2%

성별
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
암컷
114 
수컷
70 
미상
67 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
암컷 114
45.4%
수컷 70
27.9%
미상 67
26.7%

Length

2024-03-13T09:10:47.424995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:47.499858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
암컷 114
45.4%
수컷 70
27.9%
미상 67
26.7%

체중
Real number (ℝ)

HIGH CORRELATION 

Distinct33
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4747012
Minimum0.1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-03-13T09:10:47.577947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.2
Q11
median4
Q38
95-th percentile15.5
Maximum25
Range24.9
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.2031382
Coefficient of variation (CV)0.95039675
Kurtosis1.460778
Mean5.4747012
Median Absolute Deviation (MAD)3
Skewness1.3248329
Sum1374.15
Variance27.072647
MonotonicityNot monotonic
2024-03-13T09:10:47.673541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
3.0 27
 
10.8%
5.0 23
 
9.2%
6.0 21
 
8.4%
4.0 19
 
7.6%
1.0 17
 
6.8%
15.0 12
 
4.8%
0.5 12
 
4.8%
8.0 11
 
4.4%
0.2 11
 
4.4%
10.0 10
 
4.0%
Other values (23) 88
35.1%
ValueCountFrequency (%)
0.1 6
2.4%
0.2 11
4.4%
0.3 5
2.0%
0.35 1
 
0.4%
0.4 3
 
1.2%
0.5 12
4.8%
0.6 2
 
0.8%
0.7 2
 
0.8%
0.8 7
2.8%
0.9 2
 
0.8%
ValueCountFrequency (%)
25.0 2
 
0.8%
20.0 5
2.0%
18.0 2
 
0.8%
17.0 3
 
1.2%
16.0 1
 
0.4%
15.0 12
4.8%
13.0 5
2.0%
12.0 6
2.4%
11.0 1
 
0.4%
10.0 10
4.0%

나이
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.4263
Minimum2012
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-03-13T09:10:47.758722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile2017
Q12018
median2020
Q32021
95-th percentile2021
Maximum2021
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7243972
Coefficient of variation (CV)0.00085390452
Kurtosis4.0881972
Mean2019.4263
Median Absolute Deviation (MAD)1
Skewness-1.6035098
Sum506876
Variance2.9735458
MonotonicityNot monotonic
2024-03-13T09:10:47.837525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2021 93
37.1%
2019 53
21.1%
2018 42
16.7%
2020 40
15.9%
2017 11
 
4.4%
2016 6
 
2.4%
2012 4
 
1.6%
2015 1
 
0.4%
2014 1
 
0.4%
ValueCountFrequency (%)
2012 4
 
1.6%
2014 1
 
0.4%
2015 1
 
0.4%
2016 6
 
2.4%
2017 11
 
4.4%
2018 42
16.7%
2019 53
21.1%
2020 40
15.9%
2021 93
37.1%
ValueCountFrequency (%)
2021 93
37.1%
2020 40
15.9%
2019 53
21.1%
2018 42
16.7%
2017 11
 
4.4%
2016 6
 
2.4%
2015 1
 
0.4%
2014 1
 
0.4%
2012 4
 
1.6%

업무진행단계
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
보호중
251 

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 251
100.0%

Length

2024-03-13T09:10:48.128627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:48.196024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보호중 251
100.0%

중성화
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
아니오
204 
<NA>
25 
22 

Length

Max length4
Median length3
Mean length2.9243028
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
아니오 204
81.3%
<NA> 25
 
10.0%
22
 
8.8%

Length

2024-03-13T09:10:48.273838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:48.361148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아니오 204
81.3%
na 25
 
10.0%
22
 
8.8%

처리결과
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
보호중
251 

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 251
100.0%

Length

2024-03-13T09:10:48.442984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:48.513028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보호중 251
100.0%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2021-12-21
251 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-12-21
2nd row2021-12-21
3rd row2021-12-21
4th row2021-12-21
5th row2021-12-21

Common Values

ValueCountFrequency (%)
2021-12-21 251
100.0%

Length

2024-03-13T09:10:48.588901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:10:48.661131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-12-21 251
100.0%

Interactions

2024-03-13T09:10:44.037489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:10:43.913259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:10:44.102600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:10:43.975203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T09:10:48.721523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
축종품종색상성별체중나이중성화
축종1.0001.0000.8620.5610.7040.5620.310
품종1.0001.0000.7930.8530.5530.7210.278
색상0.8620.7931.0000.6980.0000.0000.000
성별0.5610.8530.6981.0000.7230.3960.285
체중0.7040.5530.0000.7231.0000.5040.258
나이0.5620.7210.0000.3960.5041.0000.383
중성화0.3100.2780.0000.2850.2580.3831.000
2024-03-13T09:10:48.808441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
품종축종중성화성별
품종1.0000.9740.2520.583
축종0.9741.0000.2010.829
중성화0.2520.2011.0000.460
성별0.5830.8290.4601.000
2024-03-13T09:10:48.879956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
체중나이축종품종성별중성화
체중1.000-0.6660.7060.2580.4230.254
나이-0.6661.0000.4230.3790.2700.280
축종0.7060.4231.0000.9740.8290.201
품종0.2580.3790.9741.0000.5830.252
성별0.4230.2700.8290.5831.0000.460
중성화0.2540.2800.2010.2520.4601.000

Missing values

2024-03-13T09:10:44.195343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T09:10:44.362700image/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-2021-012202021-12-20~2021-12-30경상남도 거제시 사등면 두동로1길 109 (사등면,한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-12-20칠전도 낚시터34.883769128.573675믹스견갈색,검정암컷3.02021보호중아니오보호중2021-12-21
1경남-거제-2021-012192021-12-20~2021-12-30경상남도 거제시 사등면 두동로1길 109 (사등면,한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-12-20사등면 오량2길34.883769128.573675믹스견흰색수컷20.02019보호중아니오보호중2021-12-21
2경남-거제-2021-012182021-12-20~2021-12-30경상남도 거제시 사등면 두동로1길 109 (사등면,한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-12-20사등면 오량2길34.883769128.573675믹스견흰색수컷20.02019보호중아니오보호중2021-12-21
3경남-거제-2021-012172021-12-20~2021-12-30경상남도 거제시 사등면 두동로1길 109 (사등면,한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-12-20남부면 탑포마을34.883769128.573675믹스견흰색암컷13.02019보호중아니오보호중2021-12-21
4경남-거제-2021-012162021-12-18~2021-12-28경상남도 거제시 사등면 두동로1길 109 (사등면,한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-12-18아주동 용소빌34.883769128.573675말티즈흰색암컷4.02016보호중아니오보호중2021-12-21
5경남-거제-2021-012152021-12-18~2021-12-28경상남도 거제시 사등면 두동로1길 109 (사등면,한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-12-18유기동물보호소34.883769128.573675믹스견갈색.흰색암컷5.02018보호중아니오보호중2021-12-21
6경남-거제-2021-012142021-12-17~2021-12-27경상남도 거제시 사등면 두동로1길 109 (사등면,한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-12-17사곡해수욕장34.883769128.573675믹스견흰색,갈색,검정수컷3.02021보호중아니오보호중2021-12-21
7경남-거제-2021-012132021-12-17~2021-12-27경상남도 거제시 사등면 두동로1길 109 (사등면,한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-12-17거제면 외간교회 앞도로34.883769128.573675믹스견갈색,검정,흰색수컷3.02021보호중아니오보호중2021-12-21
8경남-거제-2021-012112021-12-16~2021-12-27경상남도 거제시 사등면 두동로1길 109 (사등면,한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-12-16고현 노인복지센터34.883769128.573675고양이한국 고양이갈색,흰색,검정미상4.02019보호중아니오보호중2021-12-21
9경남-거제-2021-012122021-12-16~2021-12-27경상남도 거제시 사등면 두동로1길 109 (사등면,한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-12-16소오비 만선칼국수 앞34.883769128.573675믹스견흰색,갈색암컷1.02021보호중아니오보호중2021-12-21
공고번호공고기간보호장소접수일시발생장소위도경도축종품종색상성별체중나이업무진행단계중성화처리결과기준일자
241경남-거제-2021-000422021-01-22~2021-02-01경상남도 거제시 사등면 두동로1길 109 (사등면,한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-01-22사등면 지석1길 11-434.883769128.573675믹스견아이보리암컷12.02019보호중<NA>보호중2021-12-21
242경남-거제-2021-000352021-01-21~2021-02-01경상남도 거제시 사등면 두동로1길 109 (사등면,한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-01-21남부면 용궁사 주차장34.883769128.573675믹스견아이보리암컷1.02021보호중아니오보호중2021-12-21
243경남-거제-2021-000292021-01-15~2021-01-25경상남도 거제시 사등면 두동로1길 109 (사등면,한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-01-15고현시장 식육점34.883769128.573675고양이한국 고양이갈색,흰색미상4.02018보호중<NA>보호중2021-12-21
244경남-거제-2021-000242021-01-13~2021-01-25경상남도 거제시 사등면 두동로1길 109 (사등면,한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-01-13거제면 소랑마을34.883769128.573675믹스견갈색,흰색수컷6.02017보호중보호중2021-12-21
245경남-거제-2021-000222021-01-12~2021-01-22경상남도 거제시 사등면 두동로1길 109 (사등면,한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-01-12마하재활병원 뒷산34.883769128.573675믹스견검정,갈색암컷6.02018보호중아니오보호중2021-12-21
246경남-거제-2021-000202021-01-12~2021-01-22경상남도 거제시 사등면 두동로1길 109 (사등면,한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-01-12마하재활병원 뒷산34.883769128.573675믹스견흰색,검정,연갈암컷8.02018보호중아니오보호중2021-12-21
247경남-거제-2021-000162021-01-12~2021-01-22경상남도 거제시 사등면 두동로1길 109 (사등면,한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-01-12마하재활병원 뒷산34.883769128.573675믹스견검정,황갈색암컷2.02021보호중아니오보호중2021-12-21
248경남-거제-2021-000132021-01-12~2021-01-22경상남도 거제시 사등면 두동로1길 109 (사등면,한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-01-12마하재활병원 뒷산34.883769128.573675믹스견흰색암컷20.02019보호중아니오보호중2021-12-21
249경남-거제-2021-000112021-01-12~2021-01-22경상남도 거제시 사등면 두동로1길 109 (사등면,한국자원재생공사폐비닐적재장) 거제시유기동물보호소2021-01-12마하재활병원 뒷산34.883769128.573675믹스견검정수컷25.02018보호중아니오보호중2021-12-21
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