Overview

Dataset statistics

Number of variables21
Number of observations51
Missing cells51
Missing cells (%)4.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.5 KiB
Average record size in memory190.6 B

Variable types

Categorical2
Unsupported1
Numeric18

Dataset

Description기타 가축통계(꿀벌)
Author농림축산식품부
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20220216000000001948

Alerts

순서 has 51 (100.0%) missing valuesMissing
사육마리_수_계 has unique valuesUnique
10마리_49마리 has unique valuesUnique
50마리_99마리 has unique valuesUnique
100마리_199 has unique valuesUnique
순서 is an unsupported type, check if it needs cleaning or further analysisUnsupported
1가구_9가구 has 4 (7.8%) zerosZeros
500가구_999 has 5 (9.8%) zerosZeros
1000가구_이상 has 22 (43.1%) zerosZeros
1마리_9마리 has 4 (7.8%) zerosZeros
500마리_999 has 5 (9.8%) zerosZeros
1000마리_이상 has 22 (43.1%) zerosZeros

Reproduction

Analysis started2023-12-11 03:43:47.527306
Analysis finished2023-12-11 03:43:47.733706
Duration0.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년도
Categorical

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
2015
17 
2013
17 
2014
17 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015
2nd row2015
3rd row2015
4th row2015
5th row2015

Common Values

ValueCountFrequency (%)
2015 17
33.3%
2013 17
33.3%
2014 17
33.3%

Length

2023-12-11T12:43:47.799892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:43:47.903790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015 17
33.3%
2013 17
33.3%
2014 17
33.3%

순서
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

년도_지역
Categorical

Distinct17
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size540.0 B
서울
 
3
부산
 
3
대구
 
3
인천
 
3
광주
 
3
Other values (12)
36 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울
2nd row부산
3rd row대구
4th row인천
5th row광주

Common Values

ValueCountFrequency (%)
서울 3
 
5.9%
부산 3
 
5.9%
대구 3
 
5.9%
인천 3
 
5.9%
광주 3
 
5.9%
대전 3
 
5.9%
울산 3
 
5.9%
경기 3
 
5.9%
강원 3
 
5.9%
충북 3
 
5.9%
Other values (7) 21
41.2%

Length

2023-12-11T12:43:48.014893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울 3
 
5.9%
충북 3
 
5.9%
제주 3
 
5.9%
경남 3
 
5.9%
경북 3
 
5.9%
전남 3
 
5.9%
전북 3
 
5.9%
충남 3
 
5.9%
강원 3
 
5.9%
부산 3
 
5.9%
Other values (7) 21
41.2%

사육_가구_수_계
Real number (ℝ)

Distinct50
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1248.0392
Minimum59
Maximum5006
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T12:43:48.146445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59
5-th percentile74
Q1168.5
median677
Q31947.5
95-th percentile3991.5
Maximum5006
Range4947
Interquartile range (IQR)1779

Descriptive statistics

Standard deviation1280.1484
Coefficient of variation (CV)1.0257277
Kurtosis1.0535133
Mean1248.0392
Median Absolute Deviation (MAD)606
Skewness1.1747635
Sum63650
Variance1638780
MonotonicityNot monotonic
2023-12-11T12:43:48.323650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71 2
 
3.9%
149 1
 
2.0%
238 1
 
2.0%
1535 1
 
2.0%
2379 1
 
2.0%
4717 1
 
2.0%
1955 1
 
2.0%
401 1
 
2.0%
110 1
 
2.0%
114 1
 
2.0%
Other values (40) 40
78.4%
ValueCountFrequency (%)
59 1
2.0%
71 2
3.9%
77 1
2.0%
81 1
2.0%
94 1
2.0%
100 1
2.0%
110 1
2.0%
114 1
2.0%
122 1
2.0%
131 1
2.0%
ValueCountFrequency (%)
5006 1
2.0%
4717 1
2.0%
4180 1
2.0%
3803 1
2.0%
2573 1
2.0%
2432 1
2.0%
2423 1
2.0%
2379 1
2.0%
2169 1
2.0%
2142 1
2.0%

1가구_9가구
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean249.96078
Minimum0
Maximum938
Zeros4
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T12:43:48.451445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.5
median147
Q3449.5
95-th percentile882.5
Maximum938
Range938
Interquartile range (IQR)444

Descriptive statistics

Standard deviation288.18098
Coefficient of variation (CV)1.1529048
Kurtosis-0.097141834
Mean249.96078
Median Absolute Deviation (MAD)145
Skewness0.95535155
Sum12748
Variance83048.278
MonotonicityNot monotonic
2023-12-11T12:43:48.598136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
5 5
 
9.8%
7 4
 
7.8%
0 4
 
7.8%
1 2
 
3.9%
460 2
 
3.9%
282 2
 
3.9%
11 1
 
2.0%
555 1
 
2.0%
893 1
 
2.0%
449 1
 
2.0%
Other values (28) 28
54.9%
ValueCountFrequency (%)
0 4
7.8%
1 2
 
3.9%
2 1
 
2.0%
4 1
 
2.0%
5 5
9.8%
6 1
 
2.0%
7 4
7.8%
8 1
 
2.0%
9 1
 
2.0%
11 1
 
2.0%
ValueCountFrequency (%)
938 1
2.0%
893 1
2.0%
890 1
2.0%
875 1
2.0%
818 1
2.0%
557 1
2.0%
555 1
2.0%
530 1
2.0%
505 1
2.0%
474 1
2.0%

10가구_49가구
Real number (ℝ)

Distinct49
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean355.11765
Minimum4
Maximum1766
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T12:43:48.739256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile16
Q132.5
median219
Q3497.5
95-th percentile1216.5
Maximum1766
Range1762
Interquartile range (IQR)465

Descriptive statistics

Standard deviation419.04924
Coefficient of variation (CV)1.1800293
Kurtosis3.3942531
Mean355.11765
Median Absolute Deviation (MAD)201
Skewness1.7723903
Sum18111
Variance175602.27
MonotonicityNot monotonic
2023-12-11T12:43:48.915765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
27 2
 
3.9%
26 2
 
3.9%
54 1
 
2.0%
1680 1
 
2.0%
564 1
 
2.0%
67 1
 
2.0%
34 1
 
2.0%
19 1
 
2.0%
4 1
 
2.0%
57 1
 
2.0%
Other values (39) 39
76.5%
ValueCountFrequency (%)
4 1
2.0%
5 1
2.0%
14 1
2.0%
18 1
2.0%
19 1
2.0%
21 1
2.0%
26 2
3.9%
27 2
3.9%
28 1
2.0%
29 1
2.0%
ValueCountFrequency (%)
1766 1
2.0%
1680 1
2.0%
1442 1
2.0%
991 1
2.0%
818 1
2.0%
815 1
2.0%
810 1
2.0%
684 1
2.0%
564 1
2.0%
558 1
2.0%

50가구_99가구
Real number (ℝ)

Distinct48
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean225.72549
Minimum13
Maximum1049
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T12:43:49.065094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile14.5
Q132.5
median118
Q3356.5
95-th percentile682.5
Maximum1049
Range1036
Interquartile range (IQR)324

Descriptive statistics

Standard deviation238.53571
Coefficient of variation (CV)1.0567513
Kurtosis2.5428429
Mean225.72549
Median Absolute Deviation (MAD)104
Skewness1.5227731
Sum11512
Variance56899.283
MonotonicityNot monotonic
2023-12-11T12:43:49.198851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
14 2
 
3.9%
18 2
 
3.9%
72 2
 
3.9%
22 1
 
2.0%
38 1
 
2.0%
425 1
 
2.0%
860 1
 
2.0%
318 1
 
2.0%
65 1
 
2.0%
27 1
 
2.0%
Other values (38) 38
74.5%
ValueCountFrequency (%)
13 1
2.0%
14 2
3.9%
15 1
2.0%
17 1
2.0%
18 2
3.9%
22 1
2.0%
24 1
2.0%
25 1
2.0%
26 1
2.0%
27 1
2.0%
ValueCountFrequency (%)
1049 1
2.0%
860 1
2.0%
843 1
2.0%
522 1
2.0%
471 1
2.0%
462 1
2.0%
446 1
2.0%
439 1
2.0%
425 1
2.0%
420 1
2.0%

100가구_199
Real number (ℝ)

Distinct44
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean212.45098
Minimum15
Maximum823
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T12:43:49.322137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile17
Q152.5
median118
Q3322
95-th percentile618
Maximum823
Range808
Interquartile range (IQR)269.5

Descriptive statistics

Standard deviation205.94692
Coefficient of variation (CV)0.96938558
Kurtosis1.6529307
Mean212.45098
Median Absolute Deviation (MAD)101
Skewness1.3320966
Sum10835
Variance42414.133
MonotonicityNot monotonic
2023-12-11T12:43:49.447299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
17 4
 
7.8%
15 2
 
3.9%
52 2
 
3.9%
287 2
 
3.9%
60 2
 
3.9%
61 1
 
2.0%
101 1
 
2.0%
823 1
 
2.0%
283 1
 
2.0%
118 1
 
2.0%
Other values (34) 34
66.7%
ValueCountFrequency (%)
15 2
3.9%
17 4
7.8%
18 1
 
2.0%
24 1
 
2.0%
28 1
 
2.0%
39 1
 
2.0%
48 1
 
2.0%
52 2
3.9%
53 1
 
2.0%
60 2
3.9%
ValueCountFrequency (%)
823 1
2.0%
799 1
2.0%
763 1
2.0%
473 1
2.0%
464 1
2.0%
443 1
2.0%
398 1
2.0%
390 1
2.0%
381 1
2.0%
380 1
2.0%

200가구_299
Real number (ℝ)

Distinct42
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.921569
Minimum6
Maximum308
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T12:43:49.567691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile7
Q119.5
median72
Q3143.5
95-th percentile234
Maximum308
Range302
Interquartile range (IQR)124

Descriptive statistics

Standard deviation80.645854
Coefficient of variation (CV)0.89684661
Kurtosis0.079369893
Mean89.921569
Median Absolute Deviation (MAD)54
Skewness0.87116729
Sum4586
Variance6503.7537
MonotonicityNot monotonic
2023-12-11T12:43:49.691267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
6 3
 
5.9%
18 2
 
3.9%
10 2
 
3.9%
19 2
 
3.9%
25 2
 
3.9%
122 2
 
3.9%
24 2
 
3.9%
33 2
 
3.9%
241 1
 
2.0%
160 1
 
2.0%
Other values (32) 32
62.7%
ValueCountFrequency (%)
6 3
5.9%
8 1
 
2.0%
9 1
 
2.0%
10 2
3.9%
11 1
 
2.0%
15 1
 
2.0%
18 2
3.9%
19 2
3.9%
20 1
 
2.0%
23 1
 
2.0%
ValueCountFrequency (%)
308 1
2.0%
297 1
2.0%
241 1
2.0%
227 1
2.0%
203 1
2.0%
198 1
2.0%
179 1
2.0%
167 1
2.0%
160 1
2.0%
155 1
2.0%

300가구_499
Real number (ℝ)

Distinct39
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.921569
Minimum3
Maximum211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T12:43:49.818676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.5
Q115
median60
Q3113.5
95-th percentile162
Maximum211
Range208
Interquartile range (IQR)98.5

Descriptive statistics

Standard deviation58.967395
Coefficient of variation (CV)0.88114186
Kurtosis-0.60421475
Mean66.921569
Median Absolute Deviation (MAD)48
Skewness0.72967411
Sum3413
Variance3477.1537
MonotonicityNot monotonic
2023-12-11T12:43:49.951792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
157 3
 
5.9%
14 2
 
3.9%
3 2
 
3.9%
12 2
 
3.9%
21 2
 
3.9%
115 2
 
3.9%
15 2
 
3.9%
112 2
 
3.9%
7 2
 
3.9%
64 2
 
3.9%
Other values (29) 30
58.8%
ValueCountFrequency (%)
3 2
3.9%
4 1
2.0%
5 1
2.0%
7 2
3.9%
9 1
2.0%
10 1
2.0%
12 2
3.9%
14 2
3.9%
15 2
3.9%
16 1
2.0%
ValueCountFrequency (%)
211 1
 
2.0%
200 1
 
2.0%
165 1
 
2.0%
159 1
 
2.0%
157 3
5.9%
139 1
 
2.0%
130 1
 
2.0%
121 1
 
2.0%
118 1
 
2.0%
115 2
3.9%

500가구_999
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.098039
Minimum0
Maximum76
Zeros5
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T12:43:50.065697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median9
Q341
95-th percentile63
Maximum76
Range76
Interquartile range (IQR)38

Descriptive statistics

Standard deviation24.072603
Coefficient of variation (CV)1.0893547
Kurtosis-0.81246959
Mean22.098039
Median Absolute Deviation (MAD)8
Skewness0.85206925
Sum1127
Variance579.4902
MonotonicityNot monotonic
2023-12-11T12:43:50.176545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
3 7
 
13.7%
0 5
 
9.8%
5 4
 
7.8%
17 3
 
5.9%
55 2
 
3.9%
12 2
 
3.9%
9 2
 
3.9%
4 2
 
3.9%
2 2
 
3.9%
1 2
 
3.9%
Other values (18) 20
39.2%
ValueCountFrequency (%)
0 5
9.8%
1 2
 
3.9%
2 2
 
3.9%
3 7
13.7%
4 2
 
3.9%
5 4
7.8%
6 1
 
2.0%
7 1
 
2.0%
9 2
 
3.9%
12 2
 
3.9%
ValueCountFrequency (%)
76 1
2.0%
72 1
2.0%
64 1
2.0%
62 2
3.9%
60 1
2.0%
59 1
2.0%
56 1
2.0%
55 2
3.9%
51 1
2.0%
45 1
2.0%

1000가구_이상
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.843137
Minimum0
Maximum1205
Zeros22
Zeros (%)43.1%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T12:43:50.277246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile10.5
Maximum1205
Range1205
Interquartile range (IQR)3

Descriptive statistics

Standard deviation168.45206
Coefficient of variation (CV)6.518251
Kurtosis50.955322
Mean25.843137
Median Absolute Deviation (MAD)1
Skewness7.1368431
Sum1318
Variance28376.095
MonotonicityNot monotonic
2023-12-11T12:43:50.372031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 22
43.1%
1 11
21.6%
3 3
 
5.9%
2 3
 
5.9%
8 3
 
5.9%
4 2
 
3.9%
6 2
 
3.9%
7 1
 
2.0%
1205 1
 
2.0%
15 1
 
2.0%
Other values (2) 2
 
3.9%
ValueCountFrequency (%)
0 22
43.1%
1 11
21.6%
2 3
 
5.9%
3 3
 
5.9%
4 2
 
3.9%
6 2
 
3.9%
7 1
 
2.0%
8 3
 
5.9%
10 1
 
2.0%
11 1
 
2.0%
ValueCountFrequency (%)
1205 1
 
2.0%
15 1
 
2.0%
11 1
 
2.0%
10 1
 
2.0%
8 3
5.9%
7 1
 
2.0%
6 2
3.9%
4 2
3.9%
3 3
5.9%
2 3
5.9%

사육마리_수_계
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111234.2
Minimum7232
Maximum401549
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T12:43:50.494384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7232
5-th percentile9342
Q125507
median62294
Q3184207
95-th percentile300816.5
Maximum401549
Range394317
Interquartile range (IQR)158700

Descriptive statistics

Standard deviation103634.52
Coefficient of variation (CV)0.93167859
Kurtosis0.40018122
Mean111234.2
Median Absolute Deviation (MAD)54443
Skewness0.96794958
Sum5672944
Variance1.0740114 × 1010
MonotonicityNot monotonic
2023-12-11T12:43:50.964825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23886 1
 
2.0%
16971 1
 
2.0%
183352 1
 
2.0%
179994 1
 
2.0%
357409 1
 
2.0%
181698 1
 
2.0%
62294 1
 
2.0%
12645 1
 
2.0%
20591 1
 
2.0%
21096 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
7232 1
2.0%
7820 1
2.0%
7851 1
2.0%
10833 1
2.0%
11719 1
2.0%
11900 1
2.0%
12645 1
2.0%
12903 1
2.0%
16971 1
2.0%
20591 1
2.0%
ValueCountFrequency (%)
401549 1
2.0%
374899 1
2.0%
357409 1
2.0%
244224 1
2.0%
234219 1
2.0%
209949 1
2.0%
207769 1
2.0%
201989 1
2.0%
198414 1
2.0%
193953 1
2.0%

1마리_9마리
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1020.1569
Minimum0
Maximum3964
Zeros4
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T12:43:51.120724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q127.5
median350
Q31925
95-th percentile3414.5
Maximum3964
Range3964
Interquartile range (IQR)1897.5

Descriptive statistics

Standard deviation1167.4218
Coefficient of variation (CV)1.1443552
Kurtosis-0.35070859
Mean1020.1569
Median Absolute Deviation (MAD)350
Skewness0.87171962
Sum52028
Variance1362873.6
MonotonicityNot monotonic
2023-12-11T12:43:51.303508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 4
 
7.8%
5 2
 
3.9%
21 2
 
3.9%
49 2
 
3.9%
37 2
 
3.9%
35 1
 
2.0%
2254 1
 
2.0%
3964 1
 
2.0%
1831 1
 
2.0%
41 1
 
2.0%
Other values (34) 34
66.7%
ValueCountFrequency (%)
0 4
7.8%
5 2
3.9%
11 1
 
2.0%
17 1
 
2.0%
18 1
 
2.0%
20 1
 
2.0%
21 2
3.9%
23 1
 
2.0%
32 1
 
2.0%
35 1
 
2.0%
ValueCountFrequency (%)
3964 1
2.0%
3481 1
2.0%
3455 1
2.0%
3374 1
2.0%
3095 1
2.0%
2416 1
2.0%
2254 1
2.0%
2132 1
2.0%
2076 1
2.0%
1988 1
2.0%

10마리_49마리
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8308.7059
Minimum110
Maximum40271
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T12:43:51.456542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110
5-th percentile375.5
Q1858.5
median5391
Q311653
95-th percentile29759
Maximum40271
Range40161
Interquartile range (IQR)10794.5

Descriptive statistics

Standard deviation9786.0069
Coefficient of variation (CV)1.1778016
Kurtosis3.2427438
Mean8308.7059
Median Absolute Deviation (MAD)4790
Skewness1.7656939
Sum423744
Variance95765931
MonotonicityNot monotonic
2023-12-11T12:43:51.656998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
728 1
 
2.0%
878 1
 
2.0%
8880 1
 
2.0%
19406 1
 
2.0%
39345 1
 
2.0%
13162 1
 
2.0%
1708 1
 
2.0%
839 1
 
2.0%
493 1
 
2.0%
110 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
110 1
2.0%
153 1
2.0%
375 1
2.0%
376 1
2.0%
469 1
2.0%
493 1
2.0%
575 1
2.0%
601 1
2.0%
604 1
2.0%
707 1
2.0%
ValueCountFrequency (%)
40271 1
2.0%
39345 1
2.0%
34166 1
2.0%
25352 1
2.0%
19406 1
2.0%
18480 1
2.0%
18460 1
2.0%
15116 1
2.0%
13453 1
2.0%
13162 1
2.0%

50마리_99마리
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14525.549
Minimum722
Maximum67624
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T12:43:51.853953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum722
5-th percentile894.5
Q12267.5
median7517
Q323458
95-th percentile44144
Maximum67624
Range66902
Interquartile range (IQR)21190.5

Descriptive statistics

Standard deviation15375.722
Coefficient of variation (CV)1.0585295
Kurtosis2.4928713
Mean14525.549
Median Absolute Deviation (MAD)6709
Skewness1.5152597
Sum740803
Variance2.3641283 × 108
MonotonicityNot monotonic
2023-12-11T12:43:52.040889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1342 1
 
2.0%
1519 1
 
2.0%
14226 1
 
2.0%
26729 1
 
2.0%
54965 1
 
2.0%
20443 1
 
2.0%
4131 1
 
2.0%
1543 1
 
2.0%
1044 1
 
2.0%
2420 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
722 1
2.0%
782 1
2.0%
838 1
2.0%
951 1
2.0%
1044 1
2.0%
1134 1
2.0%
1200 1
2.0%
1342 1
2.0%
1489 1
2.0%
1519 1
2.0%
ValueCountFrequency (%)
67624 1
2.0%
54965 1
2.0%
54046 1
2.0%
34242 1
2.0%
31356 1
2.0%
30786 1
2.0%
28984 1
2.0%
28320 1
2.0%
26729 1
2.0%
26574 1
2.0%

100마리_199
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27383.333
Minimum1830
Maximum106935
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T12:43:52.230989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1830
5-th percentile1978.5
Q17138
median15183
Q342074
95-th percentile78711.5
Maximum106935
Range105105
Interquartile range (IQR)34936

Descriptive statistics

Standard deviation26516.645
Coefficient of variation (CV)0.96834978
Kurtosis1.7142269
Mean27383.333
Median Absolute Deviation (MAD)13221
Skewness1.340695
Sum1396550
Variance7.0313245 × 108
MonotonicityNot monotonic
2023-12-11T12:43:52.388003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7984 1
 
2.0%
3718 1
 
2.0%
27555 1
 
2.0%
38780 1
 
2.0%
106935 1
 
2.0%
35923 1
 
2.0%
15183 1
 
2.0%
1962 1
 
2.0%
5250 1
 
2.0%
6860 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
1830 1
2.0%
1950 1
2.0%
1962 1
2.0%
1995 1
2.0%
2224 1
2.0%
2280 1
2.0%
2290 1
2.0%
3205 1
2.0%
3718 1
2.0%
5250 1
2.0%
ValueCountFrequency (%)
106935 1
2.0%
103441 1
2.0%
97485 1
2.0%
59938 1
2.0%
58704 1
2.0%
55344 1
2.0%
51228 1
2.0%
51128 1
2.0%
49705 1
2.0%
49479 1
2.0%

200마리_299
Real number (ℝ)

Distinct50
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20337.98
Minimum1250
Maximum69969
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T12:43:52.546390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1250
5-th percentile1495
Q14406.5
median16070
Q333182.5
95-th percentile52592.5
Maximum69969
Range68719
Interquartile range (IQR)28776

Descriptive statistics

Standard deviation18234.852
Coefficient of variation (CV)0.8965911
Kurtosis0.10179588
Mean20337.98
Median Absolute Deviation (MAD)12090
Skewness0.86991672
Sum1037237
Variance3.3250984 × 108
MonotonicityNot monotonic
2023-12-11T12:43:52.723886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1290 2
 
3.9%
3980 1
 
2.0%
5630 1
 
2.0%
27707 1
 
2.0%
29559 1
 
2.0%
53752 1
 
2.0%
35580 1
 
2.0%
16070 1
 
2.0%
2540 1
 
2.0%
4289 1
 
2.0%
Other values (40) 40
78.4%
ValueCountFrequency (%)
1250 1
2.0%
1290 2
3.9%
1700 1
2.0%
1910 1
2.0%
2141 1
2.0%
2160 1
2.0%
2540 1
2.0%
3420 1
2.0%
3980 1
2.0%
4063 1
2.0%
ValueCountFrequency (%)
69969 1
2.0%
67386 1
2.0%
53752 1
2.0%
51433 1
2.0%
45701 1
2.0%
44238 1
2.0%
40152 1
2.0%
37621 1
2.0%
35580 1
2.0%
35567 1
2.0%

300마리_499
Real number (ℝ)

Distinct49
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23433.863
Minimum1050
Maximum74545
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T12:43:52.919112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1050
5-th percentile1558.5
Q15215.5
median20155
Q340327.5
95-th percentile58048
Maximum74545
Range73495
Interquartile range (IQR)35112

Descriptive statistics

Standard deviation20863.034
Coefficient of variation (CV)0.8902943
Kurtosis-0.58267209
Mean23433.863
Median Absolute Deviation (MAD)16025
Skewness0.74894341
Sum1195127
Variance4.352662 × 108
MonotonicityNot monotonic
2023-12-11T12:43:53.076208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1050 2
 
3.9%
7200 2
 
3.9%
4947 1
 
2.0%
39523 1
 
2.0%
55620 1
 
2.0%
40935 1
 
2.0%
54979 1
 
2.0%
44940 1
 
2.0%
20855 1
 
2.0%
5220 1
 
2.0%
Other values (39) 39
76.5%
ValueCountFrequency (%)
1050 2
3.9%
1467 1
2.0%
1650 1
2.0%
2400 1
2.0%
2470 1
2.0%
2900 1
2.0%
3530 1
2.0%
4130 1
2.0%
4395 1
2.0%
4810 1
2.0%
ValueCountFrequency (%)
74545 1
2.0%
70427 1
2.0%
58735 1
2.0%
57361 1
2.0%
55715 1
2.0%
55620 1
2.0%
54979 1
2.0%
46852 1
2.0%
44940 1
2.0%
43039 1
2.0%

500마리_999
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13076.686
Minimum0
Maximum45295
Zeros5
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T12:43:53.242775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11750
median5980
Q324014.5
95-th percentile38917.5
Maximum45295
Range45295
Interquartile range (IQR)22264.5

Descriptive statistics

Standard deviation14446.125
Coefficient of variation (CV)1.1047237
Kurtosis-0.774495
Mean13076.686
Median Absolute Deviation (MAD)4980
Skewness0.87917104
Sum666911
Variance2.0869053 × 108
MonotonicityNot monotonic
2023-12-11T12:43:53.404322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 5
 
9.8%
1750 3
 
5.9%
1500 2
 
3.9%
3000 1
 
2.0%
1000 1
 
2.0%
22331 1
 
2.0%
34793 1
 
2.0%
29819 1
 
2.0%
4310 1
 
2.0%
500 1
 
2.0%
Other values (34) 34
66.7%
ValueCountFrequency (%)
0 5
9.8%
500 1
 
2.0%
680 1
 
2.0%
1000 1
 
2.0%
1080 1
 
2.0%
1500 2
 
3.9%
1730 1
 
2.0%
1750 3
5.9%
1778 1
 
2.0%
2210 1
 
2.0%
ValueCountFrequency (%)
45295 1
2.0%
41189 1
2.0%
38936 1
2.0%
38899 1
2.0%
38859 1
2.0%
36557 1
2.0%
34793 1
2.0%
34250 1
2.0%
34120 1
2.0%
30483 1
2.0%

1000마리_이상
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)47.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3147.9216
Minimum0
Maximum20690
Zeros22
Zeros (%)43.1%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T12:43:53.537107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1003
Q35075
95-th percentile11683
Maximum20690
Range20690
Interquartile range (IQR)5075

Descriptive statistics

Standard deviation4588.1788
Coefficient of variation (CV)1.4575264
Kurtosis3.4550014
Mean3147.9216
Median Absolute Deviation (MAD)1003
Skewness1.8370979
Sum160544
Variance21051384
MonotonicityNot monotonic
2023-12-11T12:43:53.655325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 22
43.1%
1900 3
 
5.9%
1000 3
 
5.9%
2500 2
 
3.9%
1200 2
 
3.9%
5060 1
 
2.0%
11150 1
 
2.0%
1662 1
 
2.0%
6700 1
 
2.0%
12216 1
 
2.0%
Other values (14) 14
27.5%
ValueCountFrequency (%)
0 22
43.1%
1000 3
 
5.9%
1003 1
 
2.0%
1200 2
 
3.9%
1662 1
 
2.0%
1900 3
 
5.9%
2000 1
 
2.0%
2500 2
 
3.9%
2700 1
 
2.0%
3710 1
 
2.0%
ValueCountFrequency (%)
20690 1
2.0%
14210 1
2.0%
12216 1
2.0%
11150 1
2.0%
10605 1
2.0%
9932 1
2.0%
8676 1
2.0%
8288 1
2.0%
7474 1
2.0%
7300 1
2.0%

Sample

년도순서년도_지역사육_가구_수_계1가구_9가구10가구_49가구50가구_99가구100가구_199200가구_299300가구_499500가구_9991000가구_이상사육마리_수_계1마리_9마리10마리_49마리50마리_99마리100마리_199200마리_299300마리_499500마리_9991000마리_이상
02015<NA>서울1491272261181451238865728134279843980494730001900
12015<NA>부산12243124281912401697121878151937184230439522100
22015<NA>대구36217102778035351514880086252352151055580841241687211200
32015<NA>인천717211415653078204946978218301290165017500
42015<NA>광주2625557052334241391721714844798705675831433427001200
52015<NA>대전2535536882241830293752313734216108135520593015000
62015<NA>울산67714727912697199003235934853917658119994063290000
72015<NA>경기185720450046246414364173173663840131583078659938331002083499475060
82015<NA>강원2169938483270287107661711255193374101311689237732241582296492651003
92015<NA>충북214246051441739820311038219841418491109226182512284570138514213482500
년도순서년도_지역사육_가구_수_계1가구_9가구10가구_49가구50가구_99가구100가구_199200가구_299300가구_499500가구_9991000가구_이상사육마리_수_계1마리_9마리10마리_49마리50마리_99마리100마리_199200마리_299300마리_499500마리_9991000마리_이상
412014<NA>경기166720242342038014574176166403810112682832049479332652563293418288
422014<NA>강원205087542025830211369121127862345592871694039995261122406570081000
432014<NA>충북19404314573613811671053621818251711957723026497053762137625200602500
442014<NA>충남190247452529628713911560618924419471236718645373693166040846389367474
452014<NA>전북15342824252382271221577211193953123810298152212847327609557154118914210
462014<NA>전남242345081547136715412144120198920761846031356462513410943039256981000
472014<NA>경북50068181766104979930820056104015493481402716762410344169969704273412012216
482014<NA>경남243246068443944319815945423421919401511626574553444423857361269466700
492014<NA>제주4157647112383625063586371563432815618189552015529300
502014<NA>세종945291818815011290320820120022901700521101662