Overview

Dataset statistics

Number of variables10
Number of observations39
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory89.4 B

Variable types

Categorical3
Text1
Numeric6

Dataset

Description춘천시 반려동물동행과에서 관리하는 반려동물 등록현황으로 법정동별 인식표의 형태(내장형/외장형 마이크로칩(RFID), 인식표), 등록품종수, 동물소유자수, 동물소유자당 동물수 등에 대한 통계적 데이터를 포함하고 있음
Author강원특별자치도 춘천시
URLhttps://www.data.go.kr/data/15074346/fileData.do

Alerts

시도명 has constant value ""Constant
시군명 has constant value ""Constant
데이터 기준일자 has constant value ""Constant
내장형마이크로칩(RFID) is highly overall correlated with 외장형마이크로칩(RFID) and 3 other fieldsHigh correlation
외장형마이크로칩(RFID) is highly overall correlated with 내장형마이크로칩(RFID) and 3 other fieldsHigh correlation
인식표 is highly overall correlated with 내장형마이크로칩(RFID) and 3 other fieldsHigh correlation
등록 품종수 is highly overall correlated with 내장형마이크로칩(RFID) and 3 other fieldsHigh correlation
동물소유자수 is highly overall correlated with 내장형마이크로칩(RFID) and 3 other fieldsHigh correlation
법정동명 has unique valuesUnique
외장형마이크로칩(RFID) has 1 (2.6%) zerosZeros
인식표 has 3 (7.7%) zerosZeros

Reproduction

Analysis started2024-04-21 01:42:23.422599
Analysis finished2024-04-21 01:42:28.395449
Duration4.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
강원특별자치도
39 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원특별자치도 39
100.0%

Length

2024-04-21T10:42:28.454102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:42:28.544058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원특별자치도 39
100.0%

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
춘천시
39 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
춘천시 39
100.0%

Length

2024-04-21T10:42:28.630721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:42:28.717832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
춘천시 39
100.0%

법정동명
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-04-21T10:42:28.891126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.2307692
Min length2

Characters and Unicode

Total characters126
Distinct characters53
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

Unique39 ?
Unique (%)100.0%

Sample

1st row교동
2nd row남면
3rd row동면
4th row서면
5th row신동
ValueCountFrequency (%)
교동 1
 
2.6%
옥천동 1
 
2.6%
요선동 1
 
2.6%
우두동 1
 
2.6%
운교동 1
 
2.6%
조양동 1
 
2.6%
죽림동 1
 
2.6%
중도동 1
 
2.6%
칠전동 1
 
2.6%
온의동 1
 
2.6%
Other values (29) 29
74.4%
2024-04-21T10:42:29.205186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 26
20.6%
면 9
 
7.1%
가 7
 
5.6%
로 7
 
5.6%
양 5
 
4.0%
사 4
 
3.2%
소 4
 
3.2%
중 4
 
3.2%
앙 3
 
2.4%
신 3
 
2.4%
Other values (43) 54
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 119
94.4%
Decimal Number 7
 
5.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 26
21.8%
면 9
 
7.6%
가 7
 
5.9%
로 7
 
5.9%
양 5
 
4.2%
사 4
 
3.4%
소 4
 
3.4%
중 4
 
3.4%
앙 3
 
2.5%
신 3
 
2.5%
Other values (39) 47
39.5%
Decimal Number
ValueCountFrequency (%)
3 2
28.6%
2 2
28.6%
1 2
28.6%
4 1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 119
94.4%
Common 7
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 26
21.8%
면 9
 
7.6%
가 7
 
5.9%
로 7
 
5.9%
양 5
 
4.2%
사 4
 
3.4%
소 4
 
3.4%
중 4
 
3.4%
앙 3
 
2.5%
신 3
 
2.5%
Other values (39) 47
39.5%
Common
ValueCountFrequency (%)
3 2
28.6%
2 2
28.6%
1 2
28.6%
4 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 119
94.4%
ASCII 7
 
5.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 26
21.8%
면 9
 
7.6%
가 7
 
5.9%
로 7
 
5.9%
양 5
 
4.2%
사 4
 
3.4%
소 4
 
3.4%
중 4
 
3.4%
앙 3
 
2.5%
신 3
 
2.5%
Other values (39) 47
39.5%
ASCII
ValueCountFrequency (%)
3 2
28.6%
2 2
28.6%
1 2
28.6%
4 1
14.3%

내장형마이크로칩(RFID)
Real number (ℝ)

HIGH CORRELATION 

Distinct36
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean283.25641
Minimum1
Maximum1581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-21T10:42:29.516366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q127
median103
Q3337.5
95-th percentile1114.2
Maximum1581
Range1580
Interquartile range (IQR)310.5

Descriptive statistics

Standard deviation398.25182
Coefficient of variation (CV)1.4059764
Kurtosis4.0195164
Mean283.25641
Median Absolute Deviation (MAD)89
Skewness2.0643
Sum11047
Variance158604.51
MonotonicityNot monotonic
2024-04-21T10:42:29.656266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
17 2
 
5.1%
9 2
 
5.1%
27 2
 
5.1%
135 1
 
2.6%
192 1
 
2.6%
47 1
 
2.6%
706 1
 
2.6%
103 1
 
2.6%
65 1
 
2.6%
12 1
 
2.6%
Other values (26) 26
66.7%
ValueCountFrequency (%)
1 1
2.6%
9 2
5.1%
11 1
2.6%
12 1
2.6%
16 1
2.6%
17 2
5.1%
22 1
2.6%
27 2
5.1%
47 1
2.6%
59 1
2.6%
ValueCountFrequency (%)
1581 1
2.6%
1539 1
2.6%
1067 1
2.6%
760 1
2.6%
724 1
2.6%
713 1
2.6%
706 1
2.6%
489 1
2.6%
454 1
2.6%
377 1
2.6%

외장형마이크로칩(RFID)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct37
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean224.5641
Minimum0
Maximum1542
Zeros1
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-21T10:42:29.778095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.6
Q122.5
median63
Q3202
95-th percentile913.6
Maximum1542
Range1542
Interquartile range (IQR)179.5

Descriptive statistics

Standard deviation342.99975
Coefficient of variation (CV)1.5274024
Kurtosis5.7017563
Mean224.5641
Median Absolute Deviation (MAD)56
Skewness2.3504678
Sum8758
Variance117648.83
MonotonicityNot monotonic
2024-04-21T10:42:29.906607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
51 2
 
5.1%
15 2
 
5.1%
342 1
 
2.6%
56 1
 
2.6%
509 1
 
2.6%
55 1
 
2.6%
39 1
 
2.6%
18 1
 
2.6%
0 1
 
2.6%
146 1
 
2.6%
Other values (27) 27
69.2%
ValueCountFrequency (%)
0 1
2.6%
3 1
2.6%
7 1
2.6%
8 1
2.6%
10 1
2.6%
13 1
2.6%
15 2
5.1%
18 1
2.6%
22 1
2.6%
23 1
2.6%
ValueCountFrequency (%)
1542 1
2.6%
1126 1
2.6%
890 1
2.6%
742 1
2.6%
666 1
2.6%
509 1
2.6%
469 1
2.6%
374 1
2.6%
342 1
2.6%
217 1
2.6%

인식표
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct27
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.230769
Minimum0
Maximum484
Zeros3
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-21T10:42:30.043721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median20
Q355
95-th percentile351
Maximum484
Range484
Interquartile range (IQR)51

Descriptive statistics

Standard deviation113.82684
Coefficient of variation (CV)1.8001812
Kurtosis5.727769
Mean63.230769
Median Absolute Deviation (MAD)18
Skewness2.5012194
Sum2466
Variance12956.551
MonotonicityNot monotonic
2024-04-21T10:42:30.151044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
2 5
 
12.8%
0 3
 
7.7%
9 3
 
7.7%
30 2
 
5.1%
5 2
 
5.1%
23 2
 
5.1%
26 2
 
5.1%
21 1
 
2.6%
91 1
 
2.6%
1 1
 
2.6%
Other values (17) 17
43.6%
ValueCountFrequency (%)
0 3
7.7%
1 1
 
2.6%
2 5
12.8%
3 1
 
2.6%
5 2
 
5.1%
7 1
 
2.6%
9 3
7.7%
10 1
 
2.6%
16 1
 
2.6%
18 1
 
2.6%
ValueCountFrequency (%)
484 1
2.6%
360 1
2.6%
350 1
2.6%
291 1
2.6%
163 1
2.6%
123 1
2.6%
91 1
2.6%
88 1
2.6%
80 1
2.6%
68 1
2.6%

등록 품종수
Real number (ℝ)

HIGH CORRELATION 

Distinct33
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.102564
Minimum2
Maximum83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-21T10:42:30.261212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5.8
Q117
median31
Q352.5
95-th percentile74.6
Maximum83
Range81
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation22.669008
Coefficient of variation (CV)0.64579352
Kurtosis-0.71122059
Mean35.102564
Median Absolute Deviation (MAD)17
Skewness0.55350016
Sum1369
Variance513.88394
MonotonicityNot monotonic
2024-04-21T10:42:30.395085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
34 3
 
7.7%
25 2
 
5.1%
54 2
 
5.1%
21 2
 
5.1%
13 2
 
5.1%
36 1
 
2.6%
37 1
 
2.6%
80 1
 
2.6%
62 1
 
2.6%
83 1
 
2.6%
Other values (23) 23
59.0%
ValueCountFrequency (%)
2 1
2.6%
4 1
2.6%
6 1
2.6%
9 1
2.6%
10 1
2.6%
12 1
2.6%
13 2
5.1%
14 1
2.6%
15 1
2.6%
19 1
2.6%
ValueCountFrequency (%)
83 1
2.6%
80 1
2.6%
74 1
2.6%
73 1
2.6%
68 1
2.6%
63 1
2.6%
62 1
2.6%
60 1
2.6%
54 2
5.1%
51 1
2.6%

동물소유자수
Real number (ℝ)

HIGH CORRELATION 

Distinct36
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean412.66667
Minimum7
Maximum2716
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-21T10:42:30.532872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile10.7
Q137
median123
Q3399.5
95-th percentile1845.1
Maximum2716
Range2709
Interquartile range (IQR)362.5

Descriptive statistics

Standard deviation648.37012
Coefficient of variation (CV)1.5711715
Kurtosis5.1433015
Mean412.66667
Median Absolute Deviation (MAD)112
Skewness2.3144641
Sum16094
Variance420383.81
MonotonicityNot monotonic
2024-04-21T10:42:30.667007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
75 2
 
5.1%
11 2
 
5.1%
84 2
 
5.1%
7 1
 
2.6%
36 1
 
2.6%
25 1
 
2.6%
319 1
 
2.6%
2716 1
 
2.6%
1210 1
 
2.6%
38 1
 
2.6%
Other values (26) 26
66.7%
ValueCountFrequency (%)
7 1
2.6%
8 1
2.6%
11 2
5.1%
18 1
2.6%
22 1
2.6%
24 1
2.6%
25 1
2.6%
34 1
2.6%
36 1
2.6%
38 1
2.6%
ValueCountFrequency (%)
2716 1
2.6%
2386 1
2.6%
1785 1
2.6%
1210 1
2.6%
1089 1
2.6%
1068 1
2.6%
973 1
2.6%
696 1
2.6%
552 1
2.6%
409 1
2.6%

동물소유자당 동물등록수
Real number (ℝ)

Distinct31
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5258974
Minimum1.09
Maximum3.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-21T10:42:30.779422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.09
5-th percentile1.193
Q11.31
median1.38
Q31.625
95-th percentile2.043
Maximum3.64
Range2.55
Interquartile range (IQR)0.315

Descriptive statistics

Standard deviation0.42974116
Coefficient of variation (CV)0.28163175
Kurtosis15.241453
Mean1.5258974
Median Absolute Deviation (MAD)0.09
Skewness3.3996987
Sum59.51
Variance0.18467746
MonotonicityNot monotonic
2024-04-21T10:42:30.916356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1.32 3
 
7.7%
1.3 2
 
5.1%
1.45 2
 
5.1%
1.29 2
 
5.1%
1.38 2
 
5.1%
1.31 2
 
5.1%
1.62 2
 
5.1%
1.33 1
 
2.6%
1.27 1
 
2.6%
1.46 1
 
2.6%
Other values (21) 21
53.8%
ValueCountFrequency (%)
1.09 1
 
2.6%
1.13 1
 
2.6%
1.2 1
 
2.6%
1.21 1
 
2.6%
1.27 1
 
2.6%
1.29 2
5.1%
1.3 2
5.1%
1.31 2
5.1%
1.32 3
7.7%
1.33 1
 
2.6%
ValueCountFrequency (%)
3.64 1
2.6%
2.25 1
2.6%
2.02 1
2.6%
1.89 1
2.6%
1.84 1
2.6%
1.8 1
2.6%
1.77 1
2.6%
1.75 1
2.6%
1.74 1
2.6%
1.63 1
2.6%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-04-15
39 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-04-15
2nd row2024-04-15
3rd row2024-04-15
4th row2024-04-15
5th row2024-04-15

Common Values

ValueCountFrequency (%)
2024-04-15 39
100.0%

Length

2024-04-21T10:42:31.022682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:42:31.108443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-04-15 39
100.0%

Interactions

2024-04-21T10:42:27.719854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:25.157807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:25.719265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:26.264739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:26.722419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:27.251811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:27.799028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:25.310431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:25.821377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:26.348393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:26.816648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:27.340776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:27.879738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:25.398096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:25.918298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:26.426596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:26.904797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:27.431844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:27.947512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:25.477285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:25.990363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:26.493229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:26.978898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:27.500072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:28.023232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:25.562501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:26.085539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:26.571085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:27.082082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:27.581974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:28.104136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:25.632040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:26.167966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:26.637838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:27.164913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:27.649253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:42:31.166003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동명내장형마이크로칩(RFID)외장형마이크로칩(RFID)인식표등록 품종수동물소유자수동물소유자당 동물등록수
법정동명1.0001.0001.0001.0001.0001.0001.000
내장형마이크로칩(RFID)1.0001.0000.9240.9050.8510.9340.321
외장형마이크로칩(RFID)1.0000.9241.0000.9150.7700.9950.000
인식표1.0000.9050.9151.0000.7200.9230.000
등록 품종수1.0000.8510.7700.7201.0000.8110.513
동물소유자수1.0000.9340.9950.9230.8111.0000.000
동물소유자당 동물등록수1.0000.3210.0000.0000.5130.0001.000
2024-04-21T10:42:31.272624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
내장형마이크로칩(RFID)외장형마이크로칩(RFID)인식표등록 품종수동물소유자수동물소유자당 동물등록수
내장형마이크로칩(RFID)1.0000.9650.9220.9850.9830.013
외장형마이크로칩(RFID)0.9651.0000.9540.9750.984-0.003
인식표0.9220.9541.0000.9430.952-0.024
등록 품종수0.9850.9750.9431.0000.9820.016
동물소유자수0.9830.9840.9520.9821.000-0.069
동물소유자당 동물등록수0.013-0.003-0.0240.016-0.0691.000

Missing values

2024-04-21T10:42:28.209291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:42:28.336346image/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

시도명시군명법정동명내장형마이크로칩(RFID)외장형마이크로칩(RFID)인식표등록 품종수동물소유자수동물소유자당 동물등록수데이터 기준일자
0강원특별자치도춘천시교동13516730362511.322024-04-15
1강원특별자치도춘천시남면82511625841.772024-04-15
2강원특별자치도춘천시동면7246661237310891.392024-04-15
3강원특별자치도춘천시서면37714520542412.252024-04-15
4강원특별자치도춘천시신동6648221711.632024-04-15
5강원특별자치도춘천시근화동26518780464091.32024-04-15
6강원특별자치도춘천시낙원동1710213241.212024-04-15
7강원특별자치도춘천시남산면29818330542532.022024-04-15
8강원특별자치도춘천시동내면7134692916810681.382024-04-15
9강원특별자치도춘천시동산면59512129751.752024-04-15
시도명시군명법정동명내장형마이크로칩(RFID)외장형마이크로칩(RFID)인식표등록 품종수동물소유자수동물소유자당 동물등록수데이터 기준일자
29강원특별자치도춘천시퇴계동153911263608023861.272024-04-15
30강원특별자치도춘천시효자동7607421636212101.382024-04-15
31강원특별자치도춘천시후평동158115424848327161.332024-04-15
32강원특별자치도춘천시소양로1가63501026841.462024-04-15
33강원특별자치도춘천시소양로2가21815642413191.32024-04-15
34강원특별자치도춘천시소양로3가228012251.22024-04-15
35강원특별자치도춘천시소양로4가2715515361.312024-04-15
36강원특별자치도춘천시중앙로1가171471.292024-04-15
37강원특별자치도춘천시중앙로2가11329111.452024-04-15
38강원특별자치도춘천시중앙로3가92296113.642024-04-15