Overview

Dataset statistics

Number of variables5
Number of observations45
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory46.8 B

Variable types

Text1
Numeric4

Dataset

Description대구광역시 동구의 반려동물 등록 현황에 대한 데이터로 법정동, 등록 품종수, 반려동물 등록 두수, 동물소유자수, 동물소유자당 동물등록수 등의 정보를 제공합니다.
Author대구광역시 동구
URLhttps://www.data.go.kr/data/15111430/fileData.do

Alerts

등록 품종수 is highly overall correlated with 반려동물 등록두수 and 1 other fieldsHigh correlation
반려동물 등록두수 is highly overall correlated with 등록 품종수 and 1 other fieldsHigh correlation
동물소유자수 is highly overall correlated with 등록 품종수 and 1 other fieldsHigh correlation
법정동 has unique valuesUnique

Reproduction

Analysis started2024-04-20 19:13:51.608076
Analysis finished2024-04-20 19:13:56.364819
Duration4.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

법정동
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size488.0 B
2024-04-21T04:13:57.075213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9333333
Min length2

Characters and Unicode

Total characters132
Distinct characters59
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)100.0%

Sample

1st row내동
2nd row도동
3rd row부동
4th row각산동
5th row검사동
ValueCountFrequency (%)
내동 1
 
2.2%
상매동 1
 
2.2%
송정동 1
 
2.2%
숙천동 1
 
2.2%
신기동 1
 
2.2%
신무동 1
 
2.2%
신서동 1
 
2.2%
신암동 1
 
2.2%
신용동 1
 
2.2%
신천동 1
 
2.2%
Other values (35) 35
77.8%
2024-04-21T04:13:58.334840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 47
35.6%
신 7
 
5.3%
내 3
 
2.3%
대 3
 
2.3%
용 3
 
2.3%
곡 3
 
2.3%
지 2
 
1.5%
율 2
 
1.5%
평 2
 
1.5%
암 2
 
1.5%
Other values (49) 58
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 132
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 47
35.6%
신 7
 
5.3%
내 3
 
2.3%
대 3
 
2.3%
용 3
 
2.3%
곡 3
 
2.3%
지 2
 
1.5%
율 2
 
1.5%
평 2
 
1.5%
암 2
 
1.5%
Other values (49) 58
43.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 132
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 47
35.6%
신 7
 
5.3%
내 3
 
2.3%
대 3
 
2.3%
용 3
 
2.3%
곡 3
 
2.3%
지 2
 
1.5%
율 2
 
1.5%
평 2
 
1.5%
암 2
 
1.5%
Other values (49) 58
43.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 132
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 47
35.6%
신 7
 
5.3%
내 3
 
2.3%
대 3
 
2.3%
용 3
 
2.3%
곡 3
 
2.3%
지 2
 
1.5%
율 2
 
1.5%
평 2
 
1.5%
암 2
 
1.5%
Other values (49) 58
43.9%

등록 품종수
Real number (ℝ)

HIGH CORRELATION 

Distinct34
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.511111
Minimum2
Maximum74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size533.0 B
2024-04-21T04:13:58.713440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.2
Q19
median25
Q351
95-th percentile68.8
Maximum74
Range72
Interquartile range (IQR)42

Descriptive statistics

Standard deviation22.212427
Coefficient of variation (CV)0.72801109
Kurtosis-1.0495639
Mean30.511111
Median Absolute Deviation (MAD)17
Skewness0.45808846
Sum1373
Variance493.39192
MonotonicityNot monotonic
2024-04-21T04:13:59.116338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
2 3
 
6.7%
9 3
 
6.7%
7 2
 
4.4%
8 2
 
4.4%
52 2
 
4.4%
28 2
 
4.4%
24 2
 
4.4%
25 2
 
4.4%
51 2
 
4.4%
3 1
 
2.2%
Other values (24) 24
53.3%
ValueCountFrequency (%)
2 3
6.7%
3 1
 
2.2%
5 1
 
2.2%
7 2
4.4%
8 2
4.4%
9 3
6.7%
11 1
 
2.2%
12 1
 
2.2%
14 1
 
2.2%
16 1
 
2.2%
ValueCountFrequency (%)
74 1
2.2%
71 1
2.2%
69 1
2.2%
68 1
2.2%
66 1
2.2%
64 1
2.2%
58 1
2.2%
53 1
2.2%
52 2
4.4%
51 2
4.4%

반려동물 등록두수
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean460.35556
Minimum2
Maximum2524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size533.0 B
2024-04-21T04:13:59.515929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4.6
Q120
median91
Q3706
95-th percentile2105
Maximum2524
Range2522
Interquartile range (IQR)686

Descriptive statistics

Standard deviation686.13238
Coefficient of variation (CV)1.4904401
Kurtosis2.2495267
Mean460.35556
Median Absolute Deviation (MAD)87
Skewness1.7903649
Sum20716
Variance470777.64
MonotonicityNot monotonic
2024-04-21T04:13:59.931259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
15 3
 
6.7%
2 2
 
4.4%
36 2
 
4.4%
10 1
 
2.2%
588 1
 
2.2%
9 1
 
2.2%
1488 1
 
2.2%
2524 1
 
2.2%
16 1
 
2.2%
2251 1
 
2.2%
Other values (31) 31
68.9%
ValueCountFrequency (%)
2 2
4.4%
4 1
 
2.2%
7 1
 
2.2%
9 1
 
2.2%
10 1
 
2.2%
15 3
6.7%
16 1
 
2.2%
19 1
 
2.2%
20 1
 
2.2%
21 1
 
2.2%
ValueCountFrequency (%)
2524 1
2.2%
2251 1
2.2%
2166 1
2.2%
1861 1
2.2%
1852 1
2.2%
1488 1
2.2%
920 1
2.2%
796 1
2.2%
780 1
2.2%
769 1
2.2%

동물소유자수
Real number (ℝ)

HIGH CORRELATION 

Distinct39
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean343.08889
Minimum2
Maximum1893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size533.0 B
2024-04-21T04:14:00.183625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4.4
Q112
median59
Q3525
95-th percentile1600.8
Maximum1893
Range1891
Interquartile range (IQR)513

Descriptive statistics

Standard deviation521.33726
Coefficient of variation (CV)1.5195399
Kurtosis2.2237443
Mean343.08889
Median Absolute Deviation (MAD)57
Skewness1.7919253
Sum15439
Variance271792.54
MonotonicityNot monotonic
2024-04-21T04:14:00.411936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
7 2
 
4.4%
11 2
 
4.4%
10 2
 
4.4%
2 2
 
4.4%
15 2
 
4.4%
569 2
 
4.4%
16 1
 
2.2%
467 1
 
2.2%
424 1
 
2.2%
1156 1
 
2.2%
Other values (29) 29
64.4%
ValueCountFrequency (%)
2 2
4.4%
4 1
2.2%
6 1
2.2%
7 2
4.4%
8 1
2.2%
10 2
4.4%
11 2
4.4%
12 1
2.2%
15 2
4.4%
16 1
2.2%
ValueCountFrequency (%)
1893 1
2.2%
1714 1
2.2%
1651 1
2.2%
1400 1
2.2%
1393 1
2.2%
1156 1
2.2%
695 1
2.2%
627 1
2.2%
569 2
4.4%
530 1
2.2%

동물소유자당 동물등록수
Real number (ℝ)

Distinct27
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5028889
Minimum1
Maximum4.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size533.0 B
2024-04-21T04:14:00.630177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.034
Q11.32
median1.37
Q31.5
95-th percentile2.11
Maximum4.14
Range3.14
Interquartile range (IQR)0.18

Descriptive statistics

Standard deviation0.48294373
Coefficient of variation (CV)0.3213436
Kurtosis20.3473
Mean1.5028889
Median Absolute Deviation (MAD)0.06
Skewness3.9674187
Sum67.63
Variance0.23323465
MonotonicityNot monotonic
2024-04-21T04:14:00.852639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1.39 5
 
11.1%
1.31 4
 
8.9%
1.34 3
 
6.7%
1.32 3
 
6.7%
1.0 3
 
6.7%
1.43 2
 
4.4%
1.33 2
 
4.4%
1.29 2
 
4.4%
1.37 2
 
4.4%
1.4 2
 
4.4%
Other values (17) 17
37.8%
ValueCountFrequency (%)
1.0 3
6.7%
1.17 1
 
2.2%
1.27 1
 
2.2%
1.29 2
4.4%
1.31 4
8.9%
1.32 3
6.7%
1.33 2
4.4%
1.34 3
6.7%
1.35 1
 
2.2%
1.36 1
 
2.2%
ValueCountFrequency (%)
4.14 1
2.2%
2.25 1
2.2%
2.12 1
2.2%
2.07 1
2.2%
1.91 1
2.2%
1.88 1
2.2%
1.79 1
2.2%
1.69 1
2.2%
1.67 1
2.2%
1.6 1
2.2%

Interactions

2024-04-21T04:13:54.850766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T04:13:51.827330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T04:13:52.844643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T04:13:53.841349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T04:13:55.108180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T04:13:52.082005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T04:13:53.099017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T04:13:54.100458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T04:13:55.348023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T04:13:52.329754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T04:13:53.336191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T04:13:54.342670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T04:13:55.602979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T04:13:52.589828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T04:13:53.593110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T04:13:54.597669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T04:14:01.013145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동등록 품종수반려동물 등록두수동물소유자수동물소유자당 동물등록수
법정동1.0001.0001.0001.0001.000
등록 품종수1.0001.0000.8190.8300.000
반려동물 등록두수1.0000.8191.0000.9940.000
동물소유자수1.0000.8300.9941.0000.000
동물소유자당 동물등록수1.0000.0000.0000.0001.000
2024-04-21T04:14:01.181253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록 품종수반려동물 등록두수동물소유자수동물소유자당 동물등록수
등록 품종수1.0000.9850.982-0.192
반려동물 등록두수0.9851.0000.995-0.180
동물소유자수0.9820.9951.000-0.219
동물소유자당 동물등록수-0.192-0.180-0.2191.000

Missing values

2024-04-21T04:13:55.931343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T04:13:56.242044image/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

법정동등록 품종수반려동물 등록두수동물소유자수동물소유자당 동물등록수
0내동71071.43
1도동392231611.39
2부동1436172.12
3각산동539206951.32
4검사동517695691.35
5괴전동301831311.4
6금강동919121.58
7내곡동3441.0
8능성동815111.36
9대림동24132951.39
법정동등록 품종수반려동물 등록두수동물소유자수동물소유자당 동물등록수
35용수동1121111.91
36율암동2387591.47
37율하동71216616511.31
38입석동414903501.4
39중대동2583491.69
40지묘동487805691.37
41지저동477065251.34
42진인동1636162.25
43평광동91581.88
44효목동68186113931.34