Overview

Dataset statistics

Number of variables9
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory75.8 B

Variable types

Numeric1
Categorical6
Text1
DateTime1

Dataset

Description전라남도 영암군에서 관리하고 있는 동물보호관리카드에 대한 데이터로 관리번호, 털색, 품종 등에 대한 내용을 제공합니다.
Author전라남도 영암군
URLhttps://www.data.go.kr/data/15093627/fileData.do

Alerts

건강상태 has constant value ""Constant
털색 is highly overall correlated with 품종High correlation
품종 is highly overall correlated with 털색High correlation
품종 is highly imbalanced (81.6%)Imbalance
관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:26:06.955457
Analysis finished2023-12-12 22:26:07.667098
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Real number (ℝ)

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.464942 × 1014
Minimum4.464942 × 1014
Maximum4.464942 × 1014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-13T07:26:07.732255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.464942 × 1014
5-th percentile4.464942 × 1014
Q14.464942 × 1014
median4.464942 × 1014
Q34.464942 × 1014
95-th percentile4.464942 × 1014
Maximum4.464942 × 1014
Range107
Interquartile range (IQR)53

Descriptive statistics

Standard deviation35.514887
Coefficient of variation (CV)7.9541653 × 10-14
Kurtosis-1.0437632
Mean4.464942 × 1014
Median Absolute Deviation (MAD)24
Skewness0.58704905
Sum2.1431722 × 1016
Variance1261.3072
MonotonicityStrictly increasing
2023-12-13T07:26:07.869605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
446494202100297 1
 
2.1%
446494202100328 1
 
2.1%
446494202100342 1
 
2.1%
446494202100349 1
 
2.1%
446494202100350 1
 
2.1%
446494202100351 1
 
2.1%
446494202100353 1
 
2.1%
446494202100354 1
 
2.1%
446494202100355 1
 
2.1%
446494202100356 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
446494202100297 1
2.1%
446494202100298 1
2.1%
446494202100299 1
2.1%
446494202100300 1
2.1%
446494202100301 1
2.1%
446494202100302 1
2.1%
446494202100303 1
2.1%
446494202100304 1
2.1%
446494202100305 1
2.1%
446494202100306 1
2.1%
ValueCountFrequency (%)
446494202100404 1
2.1%
446494202100403 1
2.1%
446494202100402 1
2.1%
446494202100401 1
2.1%
446494202100400 1
2.1%
446494202100399 1
2.1%
446494202100398 1
2.1%
446494202100382 1
2.1%
446494202100379 1
2.1%
446494202100378 1
2.1%

털색
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
삼색
11 
흰고등어
9 
고등어
5 
흰색과 검정
5 
검정과 흰색
4 
Other values (8)
14 

Length

Max length7
Median length6
Mean length3.8958333
Min length2

Unique

Unique3 ?
Unique (%)6.2%

Sample

1st row검정과 흰색
2nd row고등어
3rd row삼색
4th row고등어
5th row흰색과 검정

Common Values

ValueCountFrequency (%)
삼색 11
22.9%
흰고등어 9
18.8%
고등어 5
10.4%
흰색과 검정 5
10.4%
검정과 흰색 4
 
8.3%
흰색과 검정색 3
 
6.2%
노랑색 2
 
4.2%
흰색 2
 
4.2%
흰색 노랑 2
 
4.2%
검정 2
 
4.2%
Other values (3) 3
 
6.2%

Length

2023-12-13T07:26:07.994351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
삼색 11
17.2%
흰고등어 9
14.1%
흰색과 9
14.1%
흰색 8
12.5%
검정 7
10.9%
고등어 5
7.8%
검정과 5
7.8%
검정색 3
 
4.7%
노랑색 3
 
4.7%
노랑 2
 
3.1%
Other values (2) 2
 
3.1%

품종
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
한국산고양이
46 
샴
 
1
페르시안
 
1

Length

Max length6
Median length6
Mean length5.8541667
Min length1

Unique

Unique2 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
한국산고양이 46
95.8%
샴 1
 
2.1%
페르시안 1
 
2.1%

Length

2023-12-13T07:26:08.108303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:26:08.214297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국산고양이 46
95.8%
샴 1
 
2.1%
페르시안 1
 
2.1%

성별
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
암컷
27 
수컷
21 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
암컷 27
56.2%
수컷 21
43.8%

Length

2023-12-13T07:26:08.301491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:26:08.386490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
암컷 27
56.2%
수컷 21
43.8%

몸무게
Categorical

Distinct22
Distinct (%)45.8%
Missing0
Missing (%)0.0%
Memory size516.0 B
3kg
8 
3.7kg
5 
3.5kg
3 
2.9kg
3 
4.5kg
3 
Other values (17)
26 

Length

Max length5
Median length5
Mean length4.4166667
Min length3

Unique

Unique11 ?
Unique (%)22.9%

Sample

1st row3.6kg
2nd row4.5kg
3rd row3kg
4th row3kg
5th row4.5kg

Common Values

ValueCountFrequency (%)
3kg 8
16.7%
3.7kg 5
 
10.4%
3.5kg 3
 
6.2%
2.9kg 3
 
6.2%
4.5kg 3
 
6.2%
4kg 3
 
6.2%
3.6kg 3
 
6.2%
3.8kg 3
 
6.2%
2kg 2
 
4.2%
3.2kg 2
 
4.2%
Other values (12) 13
27.1%

Length

2023-12-13T07:26:08.496566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
3kg 8
16.7%
3.7kg 5
 
10.4%
3.5kg 3
 
6.2%
2.9kg 3
 
6.2%
4.5kg 3
 
6.2%
4kg 3
 
6.2%
3.6kg 3
 
6.2%
3.8kg 3
 
6.2%
2kg 2
 
4.2%
3.2kg 2
 
4.2%
Other values (12) 13
27.1%

연령
Categorical

Distinct4
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size516.0 B
1살
25 
1살이상
12 
1살이하
9 
1년이상
 
2

Length

Max length4
Median length2
Mean length2.9583333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1살
2nd row1살
3rd row1살
4th row1살이하
5th row1살이상

Common Values

ValueCountFrequency (%)
1살 25
52.1%
1살이상 12
25.0%
1살이하 9
 
18.8%
1년이상 2
 
4.2%

Length

2023-12-13T07:26:08.616910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:26:08.718225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1살 25
52.1%
1살이상 12
25.0%
1살이하 9
 
18.8%
1년이상 2
 
4.2%

건강상태
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
양호
48 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양호 48
100.0%

Length

2023-12-13T07:26:08.814504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:26:08.899112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양호 48
100.0%

포획장소
Text

Distinct31
Distinct (%)64.6%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-13T07:26:09.061823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length5.8333333
Min length3

Characters and Unicode

Total characters280
Distinct characters90
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)39.6%

Sample

1st row정개1길
2nd row퀸스빌 아파트
3rd row돼지식당
4th row곤충박물관
5th row족자동길2-1
ValueCountFrequency (%)
남춘동길53 3
 
5.8%
송계길25-17 3
 
5.8%
금호타운 3
 
5.8%
동아보건대학교 3
 
5.8%
삼포로36 3
 
5.8%
영나로841 2
 
3.8%
녹색로919-36 2
 
3.8%
족자동길2-1 2
 
3.8%
비래길27-6 2
 
3.8%
은곡길48 2
 
3.8%
Other values (24) 27
51.9%
2023-12-13T07:26:09.359837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
길 20
 
7.1%
1 14
 
5.0%
2 12
 
4.3%
3 11
 
3.9%
- 10
 
3.6%
5 10
 
3.6%
로 10
 
3.6%
동 8
 
2.9%
대 7
 
2.5%
6 7
 
2.5%
Other values (80) 171
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 191
68.2%
Decimal Number 75
 
26.8%
Dash Punctuation 10
 
3.6%
Space Separator 4
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
길 20
 
10.5%
로 10
 
5.2%
동 8
 
4.2%
대 7
 
3.7%
학 6
 
3.1%
교 6
 
3.1%
남 5
 
2.6%
정 4
 
2.1%
송 4
 
2.1%
타 4
 
2.1%
Other values (68) 117
61.3%
Decimal Number
ValueCountFrequency (%)
1 14
18.7%
2 12
16.0%
3 11
14.7%
5 10
13.3%
6 7
9.3%
7 6
8.0%
4 5
 
6.7%
8 4
 
5.3%
9 4
 
5.3%
0 2
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 191
68.2%
Common 89
31.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 20
 
10.5%
로 10
 
5.2%
동 8
 
4.2%
대 7
 
3.7%
학 6
 
3.1%
교 6
 
3.1%
남 5
 
2.6%
정 4
 
2.1%
송 4
 
2.1%
타 4
 
2.1%
Other values (68) 117
61.3%
Common
ValueCountFrequency (%)
1 14
15.7%
2 12
13.5%
3 11
12.4%
- 10
11.2%
5 10
11.2%
6 7
7.9%
7 6
6.7%
4 5
 
5.6%
8 4
 
4.5%
9 4
 
4.5%
Other values (2) 6
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 191
68.2%
ASCII 89
31.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
길 20
 
10.5%
로 10
 
5.2%
동 8
 
4.2%
대 7
 
3.7%
학 6
 
3.1%
교 6
 
3.1%
남 5
 
2.6%
정 4
 
2.1%
송 4
 
2.1%
타 4
 
2.1%
Other values (68) 117
61.3%
ASCII
ValueCountFrequency (%)
1 14
15.7%
2 12
13.5%
3 11
12.4%
- 10
11.2%
5 10
11.2%
6 7
7.9%
7 6
6.7%
4 5
 
5.6%
8 4
 
4.5%
9 4
 
4.5%
Other values (2) 6
6.7%

포획일시
Date

Distinct29
Distinct (%)60.4%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2021-06-03 00:00:00
Maximum2021-08-26 00:00:00
2023-12-13T07:26:09.462684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:26:09.617533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

Interactions

2023-12-13T07:26:07.373626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:26:09.704232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호털색품종성별몸무게연령포획장소포획일시
관리번호1.0000.3180.0000.2260.6300.5360.9561.000
털색0.3181.0000.8970.5000.7410.0000.8470.375
품종0.0000.8971.0000.0230.0000.0000.0000.000
성별0.2260.5000.0231.0000.2380.1980.0000.000
몸무게0.6300.7410.0000.2381.0000.7680.7930.757
연령0.5360.0000.0000.1980.7681.0000.8250.583
포획장소0.9560.8470.0000.0000.7930.8251.0000.985
포획일시1.0000.3750.0000.0000.7570.5830.9851.000
2023-12-13T07:26:09.817192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
품종연령털색몸무게성별
품종1.0000.0000.7150.0000.022
연령0.0001.0000.0000.3990.123
털색0.7150.0001.0000.2840.402
몸무게0.0000.3990.2841.0000.104
성별0.0220.1230.4020.1041.000
2023-12-13T07:26:09.907084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호털색품종성별몸무게연령
관리번호1.0000.1500.0000.2350.2320.383
털색0.1501.0000.7150.4020.2840.000
품종0.0000.7151.0000.0220.0000.000
성별0.2350.4020.0221.0000.1040.123
몸무게0.2320.2840.0000.1041.0000.399
연령0.3830.0000.0000.1230.3991.000

Missing values

2023-12-13T07:26:07.500413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:26:07.622042image/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

관리번호털색품종성별몸무게연령건강상태포획장소포획일시
0446494202100297검정과 흰색한국산고양이수컷3.6kg1살양호정개1길2021-06-03
1446494202100298고등어한국산고양이수컷4.5kg1살양호퀸스빌 아파트2021-06-04
2446494202100299삼색한국산고양이암컷3kg1살양호돼지식당2021-06-07
3446494202100300고등어한국산고양이암컷3kg1살이하양호곤충박물관2021-06-07
4446494202100301흰색과 검정한국산고양이수컷4.5kg1살이상양호족자동길2-12021-06-08
5446494202100302검정과 갈색샴암컷3.2kg1살양호족자동길2-12021-06-08
6446494202100303검정과 흰색한국산고양이수컷3.8kg1살양호유성가든2021-06-08
7446494202100304노랑색한국산고양이암컷3kg1살이하양호채지화암길272021-06-09
8446494202100305고등어한국산고양이암컷3kg1살이하양호새천년분식2021-06-11
9446494202100306흰색과 노랑색한국산고양이수컷4.3kg1살양호동아보건대학교2021-06-11
관리번호털색품종성별몸무게연령건강상태포획장소포획일시
38446494202100378검정과 흰색한국산고양이암컷3.3kg1살이상양호은곡길482021-08-12
39446494202100379흰고등어한국산고양이암컷3.6kg1살이상양호은곡길482021-08-12
40446494202100382흰고등어한국산고양이암컷3.9kg1년이상양호낭산로2길2021-08-19
41446494202100398삼색한국산고양이암컷3.7kg1살이상양호비래길27-62021-08-23
42446494202100399흰색과 검정색한국산고양이수컷3.5kg1년이상양호녹색로919-362021-08-23
43446494202100400삼색한국산고양이암컷1.5kg1살이하양호비래길27-62021-08-23
44446494202100401검정한국산고양이수컷1.7kg1살이하양호은광학교2021-08-24
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