Overview

Dataset statistics

Number of variables8
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory74.9 B

Variable types

Text1
Numeric5
Categorical2

Dataset

Description광주광역시 동구 반려동물동별등록현황 데이터입니다.데이터는 읍면동, 내장형, 외장형, 인식표, 등록품종수, 동물소유자수, 동물소유자당 동물등록수, 데이터기준일자로 구성되어있습니다.
Author광주광역시 동구
URLhttps://www.data.go.kr/data/15125012/fileData.do

Alerts

인식표 has constant value ""Constant
데이터기준일자 has constant value ""Constant
내장형 is highly overall correlated with 외장형 and 3 other fieldsHigh correlation
외장형 is highly overall correlated with 내장형 and 3 other fieldsHigh correlation
등록품종수 is highly overall correlated with 내장형 and 2 other fieldsHigh correlation
동물소유자수 is highly overall correlated with 내장형 and 3 other fieldsHigh correlation
동물소유자당 동물등록수 is highly overall correlated with 내장형 and 2 other fieldsHigh correlation
읍면동(법정동) has unique valuesUnique
내장형 has 9 (33.3%) zerosZeros
외장형 has 4 (14.8%) zerosZeros

Reproduction

Analysis started2023-12-12 11:12:38.101635
Analysis finished2023-12-12 11:12:43.286969
Duration5.19 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

읍면동(법정동)
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-12T20:12:43.492379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.1481481
Min length2

Characters and Unicode

Total characters85
Distinct characters37
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row궁동
2nd row금동
3rd row장동
4th row학동
5th row계림동
ValueCountFrequency (%)
궁동 1
 
3.7%
소태동 1
 
3.7%
충장로4가 1
 
3.7%
금남로5가 1
 
3.7%
금남로2가 1
 
3.7%
황금동 1
 
3.7%
호남동 1
 
3.7%
지산동 1
 
3.7%
월남동 1
 
3.7%
운림동 1
 
3.7%
Other values (17) 17
63.0%
2023-12-12T20:12:44.072803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 24
28.2%
로 5
 
5.9%
남 5
 
5.9%
금 4
 
4.7%
가 4
 
4.7%
산 4
 
4.7%
장 3
 
3.5%
대 2
 
2.4%
충 2
 
2.4%
5 2
 
2.4%
Other values (27) 30
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81
95.3%
Decimal Number 4
 
4.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 24
29.6%
로 5
 
6.2%
남 5
 
6.2%
금 4
 
4.9%
가 4
 
4.9%
산 4
 
4.9%
장 3
 
3.7%
대 2
 
2.5%
충 2
 
2.5%
림 2
 
2.5%
Other values (24) 26
32.1%
Decimal Number
ValueCountFrequency (%)
5 2
50.0%
2 1
25.0%
4 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81
95.3%
Common 4
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 24
29.6%
로 5
 
6.2%
남 5
 
6.2%
금 4
 
4.9%
가 4
 
4.9%
산 4
 
4.9%
장 3
 
3.7%
대 2
 
2.5%
충 2
 
2.5%
림 2
 
2.5%
Other values (24) 26
32.1%
Common
ValueCountFrequency (%)
5 2
50.0%
2 1
25.0%
4 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 81
95.3%
ASCII 4
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 24
29.6%
로 5
 
6.2%
남 5
 
6.2%
금 4
 
4.9%
가 4
 
4.9%
산 4
 
4.9%
장 3
 
3.7%
대 2
 
2.5%
충 2
 
2.5%
림 2
 
2.5%
Other values (24) 26
32.1%
ASCII
ValueCountFrequency (%)
5 2
50.0%
2 1
25.0%
4 1
25.0%

내장형
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct12
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.8148148
Minimum0
Maximum56
Zeros9
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T20:12:44.302088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q38
95-th percentile29.9
Maximum56
Range56
Interquartile range (IQR)8

Descriptive statistics

Standard deviation12.718965
Coefficient of variation (CV)1.8663699
Kurtosis8.7300483
Mean6.8148148
Median Absolute Deviation (MAD)1
Skewness2.825037
Sum184
Variance161.77208
MonotonicityNot monotonic
2023-12-12T20:12:44.485841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 9
33.3%
1 6
22.2%
3 3
 
11.1%
2 1
 
3.7%
17 1
 
3.7%
56 1
 
3.7%
13 1
 
3.7%
35 1
 
3.7%
12 1
 
3.7%
18 1
 
3.7%
Other values (2) 2
 
7.4%
ValueCountFrequency (%)
0 9
33.3%
1 6
22.2%
2 1
 
3.7%
3 3
 
11.1%
6 1
 
3.7%
10 1
 
3.7%
12 1
 
3.7%
13 1
 
3.7%
17 1
 
3.7%
18 1
 
3.7%
ValueCountFrequency (%)
56 1
 
3.7%
35 1
 
3.7%
18 1
 
3.7%
17 1
 
3.7%
13 1
 
3.7%
12 1
 
3.7%
10 1
 
3.7%
6 1
 
3.7%
3 3
11.1%
2 1
 
3.7%

외장형
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct16
Distinct (%)59.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8888889
Minimum0
Maximum52
Zeros4
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T20:12:44.682467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q312
95-th percentile30.6
Maximum52
Range52
Interquartile range (IQR)11

Descriptive statistics

Standard deviation11.907765
Coefficient of variation (CV)1.3396236
Kurtosis6.0660115
Mean8.8888889
Median Absolute Deviation (MAD)4
Skewness2.2887146
Sum240
Variance141.79487
MonotonicityNot monotonic
2023-12-12T20:12:44.857983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1 5
18.5%
0 4
14.8%
9 2
 
7.4%
3 2
 
7.4%
2 2
 
7.4%
15 2
 
7.4%
25 1
 
3.7%
5 1
 
3.7%
14 1
 
3.7%
10 1
 
3.7%
Other values (6) 6
22.2%
ValueCountFrequency (%)
0 4
14.8%
1 5
18.5%
2 2
 
7.4%
3 2
 
7.4%
5 1
 
3.7%
6 1
 
3.7%
7 1
 
3.7%
8 1
 
3.7%
9 2
 
7.4%
10 1
 
3.7%
ValueCountFrequency (%)
52 1
3.7%
33 1
3.7%
25 1
3.7%
17 1
3.7%
15 2
7.4%
14 1
3.7%
10 1
3.7%
9 2
7.4%
8 1
3.7%
7 1
3.7%

인식표
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
0
27 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 27
100.0%

Length

2023-12-12T20:12:45.029813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:12:45.201478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
100.0%

등록품종수
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6666667
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T20:12:45.346312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q38.5
95-th percentile16.8
Maximum20
Range19
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation5.5122242
Coefficient of variation (CV)0.97274544
Kurtosis0.77526909
Mean5.6666667
Median Absolute Deviation (MAD)3
Skewness1.2579085
Sum153
Variance30.384615
MonotonicityNot monotonic
2023-12-12T20:12:45.528133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 8
29.6%
2 4
14.8%
6 3
 
11.1%
4 2
 
7.4%
10 2
 
7.4%
13 1
 
3.7%
20 1
 
3.7%
5 1
 
3.7%
18 1
 
3.7%
14 1
 
3.7%
Other values (3) 3
 
11.1%
ValueCountFrequency (%)
1 8
29.6%
2 4
14.8%
3 1
 
3.7%
4 2
 
7.4%
5 1
 
3.7%
6 3
 
11.1%
7 1
 
3.7%
10 2
 
7.4%
11 1
 
3.7%
13 1
 
3.7%
ValueCountFrequency (%)
20 1
 
3.7%
18 1
 
3.7%
14 1
 
3.7%
13 1
 
3.7%
11 1
 
3.7%
10 2
7.4%
7 1
 
3.7%
6 3
11.1%
5 1
 
3.7%
4 2
7.4%

동물소유자수
Real number (ℝ)

HIGH CORRELATION 

Distinct18
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.074074
Minimum1
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T20:12:45.692787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median6
Q316.5
95-th percentile53.5
Maximum92
Range91
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation21.096711
Coefficient of variation (CV)1.4989769
Kurtosis7.0013972
Mean14.074074
Median Absolute Deviation (MAD)5
Skewness2.5243019
Sum380
Variance445.07123
MonotonicityNot monotonic
2023-12-12T20:12:45.864894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1 8
29.6%
3 2
 
7.4%
2 2
 
7.4%
36 1
 
3.7%
5 1
 
3.7%
22 1
 
3.7%
12 1
 
3.7%
8 1
 
3.7%
29 1
 
3.7%
14 1
 
3.7%
Other values (8) 8
29.6%
ValueCountFrequency (%)
1 8
29.6%
2 2
 
7.4%
3 2
 
7.4%
5 1
 
3.7%
6 1
 
3.7%
7 1
 
3.7%
8 1
 
3.7%
9 1
 
3.7%
10 1
 
3.7%
12 1
 
3.7%
ValueCountFrequency (%)
92 1
3.7%
61 1
3.7%
36 1
3.7%
32 1
3.7%
29 1
3.7%
22 1
3.7%
19 1
3.7%
14 1
3.7%
12 1
3.7%
10 1
3.7%

동물소유자당 동물등록수
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)51.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1459259
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T20:12:46.066436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.105
95-th percentile1.479
Maximum3
Range2
Interquartile range (IQR)0.105

Descriptive statistics

Standard deviation0.39125301
Coefficient of variation (CV)0.34142958
Kurtosis21.11824
Mean1.1459259
Median Absolute Deviation (MAD)0
Skewness4.4346512
Sum30.94
Variance0.15307892
MonotonicityNot monotonic
2023-12-12T20:12:46.330677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.0 14
51.9%
1.06 1
 
3.7%
1.17 1
 
3.7%
1.1 1
 
3.7%
1.43 1
 
3.7%
1.16 1
 
3.7%
1.5 1
 
3.7%
1.11 1
 
3.7%
1.03 1
 
3.7%
1.07 1
 
3.7%
Other values (4) 4
 
14.8%
ValueCountFrequency (%)
1.0 14
51.9%
1.03 1
 
3.7%
1.06 1
 
3.7%
1.07 1
 
3.7%
1.08 1
 
3.7%
1.09 1
 
3.7%
1.1 1
 
3.7%
1.11 1
 
3.7%
1.14 1
 
3.7%
1.16 1
 
3.7%
ValueCountFrequency (%)
3.0 1
3.7%
1.5 1
3.7%
1.43 1
3.7%
1.17 1
3.7%
1.16 1
3.7%
1.14 1
3.7%
1.11 1
3.7%
1.1 1
3.7%
1.09 1
3.7%
1.08 1
3.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-11-13
27 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-13
2nd row2023-11-13
3rd row2023-11-13
4th row2023-11-13
5th row2023-11-13

Common Values

ValueCountFrequency (%)
2023-11-13 27
100.0%

Length

2023-12-12T20:12:46.582826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:12:46.814025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-13 27
100.0%

Interactions

2023-12-12T20:12:42.111453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:38.450006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:39.254598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:40.045069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:40.871498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:42.298231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:38.588242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:39.402172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:40.209892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:41.007163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:42.456295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:38.753506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:39.554838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:40.376014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:41.151942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:42.620187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:38.931128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:39.731179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:40.524085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:41.770043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:42.763191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:39.070766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:39.877381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:40.677647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:41.913368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:12:46.910416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동(법정동)내장형외장형등록품종수동물소유자수동물소유자당 동물등록수
읍면동(법정동)1.0001.0001.0001.0001.0001.000
내장형1.0001.0000.8770.9660.9800.000
외장형1.0000.8771.0000.8780.8810.000
등록품종수1.0000.9660.8781.0000.9620.000
동물소유자수1.0000.9800.8810.9621.0000.000
동물소유자당 동물등록수1.0000.0000.0000.0000.0001.000
2023-12-12T20:12:47.106586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
내장형외장형등록품종수동물소유자수동물소유자당 동물등록수
내장형1.0000.5730.7420.7270.535
외장형0.5731.0000.9320.9630.546
등록품종수0.7420.9321.0000.9830.500
동물소유자수0.7270.9630.9831.0000.522
동물소유자당 동물등록수0.5350.5460.5000.5221.000

Missing values

2023-12-12T20:12:42.976869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:12:43.194948image/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

읍면동(법정동)내장형외장형인식표등록품종수동물소유자수동물소유자당 동물등록수데이터기준일자
0궁동010111.02023-11-13
1금동270691.02023-11-13
2장동100111.02023-11-13
3학동1717013321.062023-11-13
4계림동5652020921.172023-11-13
5광산동010111.02023-11-13
6내남동3804101.12023-11-13
7대의동010111.02023-11-13
8대인동190571.432023-11-13
9동명동139010191.162023-11-13
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17용연동100111.02023-11-13
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20지산동1014010221.092023-11-13
21호남동110221.02023-11-13
22황금동010111.02023-11-13
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