Overview

Dataset statistics

Number of variables17
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows6
Duplicate rows (%)0.1%
Total size in memory1.5 MiB
Average record size in memory160.0 B

Variable types

Text1
Numeric16

Alerts

Dataset has 6 (0.1%) duplicate rowsDuplicates
계(전체) is highly overall correlated with 암(전체) and 5 other fieldsHigh correlation
암(전체) is highly overall correlated with 계(전체) and 4 other fieldsHigh correlation
수(전체) is highly overall correlated with 계(전체) and 4 other fieldsHigh correlation
거세(전체) is highly overall correlated with 계(전체) and 1 other fieldsHigh correlation
기타(전체) is highly overall correlated with 기타(한우) and 1 other fieldsHigh correlation
계(한우) is highly overall correlated with 계(전체) and 5 other fieldsHigh correlation
암(한우) is highly overall correlated with 계(전체) and 4 other fieldsHigh correlation
수(한우) is highly overall correlated with 계(전체) and 4 other fieldsHigh correlation
거세(한우) is highly overall correlated with 거세(전체) and 1 other fieldsHigh correlation
기타(한우) is highly overall correlated with 기타(전체)High correlation
(젖소) is highly overall correlated with 계(육우) and 1 other fieldsHigh correlation
계(육우) is highly overall correlated with (젖소) and 4 other fieldsHigh correlation
암(육우) is highly overall correlated with 계(육우)High correlation
수(육우) is highly overall correlated with (젖소) and 2 other fieldsHigh correlation
거세(육우) is highly overall correlated with 계(육우)High correlation
기타(육우) is highly overall correlated with 기타(전체) and 2 other fieldsHigh correlation
수(전체) is highly skewed (γ1 = 33.08027209)Skewed
수(한우) is highly skewed (γ1 = 38.87400738)Skewed
암(육우) is highly skewed (γ1 = 62.09315186)Skewed
수(육우) is highly skewed (γ1 = 35.14068903)Skewed
암(전체) has 503 (5.0%) zerosZeros
수(전체) has 2252 (22.5%) zerosZeros
거세(전체) has 6790 (67.9%) zerosZeros
기타(전체) has 9017 (90.2%) zerosZeros
계(한우) has 579 (5.8%) zerosZeros
암(한우) has 1092 (10.9%) zerosZeros
수(한우) has 2766 (27.7%) zerosZeros
거세(한우) has 7005 (70.0%) zerosZeros
기타(한우) has 9282 (92.8%) zerosZeros
(젖소) has 9110 (91.1%) zerosZeros
계(육우) has 9080 (90.8%) zerosZeros
암(육우) has 9758 (97.6%) zerosZeros
수(육우) has 9250 (92.5%) zerosZeros
거세(육우) has 9667 (96.7%) zerosZeros
기타(육우) has 9718 (97.2%) zerosZeros

Reproduction

Analysis started2024-01-09 19:44:01.500153
Analysis finished2024-01-09 19:44:28.232618
Duration26.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct9449
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-10T04:44:28.458398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length26
Mean length13.4021
Min length5

Characters and Unicode

Total characters134021
Distinct characters452
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8959 ?
Unique (%)89.6%

Sample

1st row둔포면 충무로1177번길 29
2nd row금마면 월암리 630
3rd row이인면 초봉리 465
4th row홍북읍 내용길 127
5th row이인면 검바위로 377-26
ValueCountFrequency (%)
우성면 282
 
0.9%
동남구 265
 
0.9%
홍동면 202
 
0.7%
이인면 194
 
0.6%
장곡면 179
 
0.6%
탄천면 176
 
0.6%
서북구 175
 
0.6%
은산면 166
 
0.5%
신양면 157
 
0.5%
금마면 154
 
0.5%
Other values (9752) 28360
93.6%
2024-01-10T04:44:28.854055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20442
 
15.3%
8476
 
6.3%
1 7888
 
5.9%
- 6086
 
4.5%
2 5635
 
4.2%
5223
 
3.9%
3 4597
 
3.4%
4 3946
 
2.9%
5 3658
 
2.7%
3409
 
2.5%
Other values (442) 64661
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67386
50.3%
Decimal Number 39886
29.8%
Space Separator 20442
 
15.3%
Dash Punctuation 6086
 
4.5%
Open Punctuation 108
 
0.1%
Close Punctuation 104
 
0.1%
Other Punctuation 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8476
 
12.6%
5223
 
7.8%
3409
 
5.1%
2940
 
4.4%
2160
 
3.2%
1457
 
2.2%
1437
 
2.1%
1378
 
2.0%
1366
 
2.0%
1094
 
1.6%
Other values (426) 38446
57.1%
Decimal Number
ValueCountFrequency (%)
1 7888
19.8%
2 5635
14.1%
3 4597
11.5%
4 3946
9.9%
5 3658
9.2%
6 3183
8.0%
7 3036
 
7.6%
8 2739
 
6.9%
9 2665
 
6.7%
0 2539
 
6.4%
Other Punctuation
ValueCountFrequency (%)
, 6
66.7%
. 3
33.3%
Space Separator
ValueCountFrequency (%)
20442
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6086
100.0%
Open Punctuation
ValueCountFrequency (%)
( 108
100.0%
Close Punctuation
ValueCountFrequency (%)
) 104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67386
50.3%
Common 66635
49.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8476
 
12.6%
5223
 
7.8%
3409
 
5.1%
2940
 
4.4%
2160
 
3.2%
1457
 
2.2%
1437
 
2.1%
1378
 
2.0%
1366
 
2.0%
1094
 
1.6%
Other values (426) 38446
57.1%
Common
ValueCountFrequency (%)
20442
30.7%
1 7888
 
11.8%
- 6086
 
9.1%
2 5635
 
8.5%
3 4597
 
6.9%
4 3946
 
5.9%
5 3658
 
5.5%
6 3183
 
4.8%
7 3036
 
4.6%
8 2739
 
4.1%
Other values (6) 5425
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67386
50.3%
ASCII 66635
49.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20442
30.7%
1 7888
 
11.8%
- 6086
 
9.1%
2 5635
 
8.5%
3 4597
 
6.9%
4 3946
 
5.9%
5 3658
 
5.5%
6 3183
 
4.8%
7 3036
 
4.6%
8 2739
 
4.1%
Other values (6) 5425
 
8.1%
Hangul
ValueCountFrequency (%)
8476
 
12.6%
5223
 
7.8%
3409
 
5.1%
2940
 
4.4%
2160
 
3.2%
1457
 
2.2%
1437
 
2.1%
1378
 
2.0%
1366
 
2.0%
1094
 
1.6%
Other values (426) 38446
57.1%

계(전체)
Real number (ℝ)

HIGH CORRELATION 

Distinct361
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.1859
Minimum1
Maximum2930
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T04:44:28.967310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median20
Q351
95-th percentile155.05
Maximum2930
Range2929
Interquartile range (IQR)44

Descriptive statistics

Standard deviation75.302421
Coefficient of variation (CV)1.7436807
Kurtosis367.91191
Mean43.1859
Median Absolute Deviation (MAD)16
Skewness12.709493
Sum431859
Variance5670.4546
MonotonicityNot monotonic
2024-01-10T04:44:29.073052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 501
 
5.0%
3 392
 
3.9%
4 383
 
3.8%
5 381
 
3.8%
6 339
 
3.4%
7 312
 
3.1%
8 285
 
2.9%
1 274
 
2.7%
10 244
 
2.4%
9 242
 
2.4%
Other values (351) 6647
66.5%
ValueCountFrequency (%)
1 274
2.7%
2 501
5.0%
3 392
3.9%
4 383
3.8%
5 381
3.8%
6 339
3.4%
7 312
3.1%
8 285
2.9%
9 242
2.4%
10 244
2.4%
ValueCountFrequency (%)
2930 1
< 0.1%
2522 1
< 0.1%
1446 1
< 0.1%
1370 1
< 0.1%
1072 1
< 0.1%
897 1
< 0.1%
762 1
< 0.1%
704 1
< 0.1%
702 1
< 0.1%
699 1
< 0.1%

암(전체)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct253
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.552
Minimum0
Maximum1536
Zeros503
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T04:44:29.176546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median14
Q335
95-th percentile104
Maximum1536
Range1536
Interquartile range (IQR)30

Descriptive statistics

Standard deviation47.504511
Coefficient of variation (CV)1.6637893
Kurtosis242.02404
Mean28.552
Median Absolute Deviation (MAD)11
Skewness10.368159
Sum285520
Variance2256.6786
MonotonicityNot monotonic
2024-01-10T04:44:29.287604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 539
 
5.4%
0 503
 
5.0%
3 474
 
4.7%
4 474
 
4.7%
1 447
 
4.5%
5 407
 
4.1%
6 369
 
3.7%
7 320
 
3.2%
8 286
 
2.9%
9 251
 
2.5%
Other values (243) 5930
59.3%
ValueCountFrequency (%)
0 503
5.0%
1 447
4.5%
2 539
5.4%
3 474
4.7%
4 474
4.7%
5 407
4.1%
6 369
3.7%
7 320
3.2%
8 286
2.9%
9 251
2.5%
ValueCountFrequency (%)
1536 1
< 0.1%
1366 1
< 0.1%
1294 1
< 0.1%
952 1
< 0.1%
677 1
< 0.1%
616 1
< 0.1%
564 1
< 0.1%
468 1
< 0.1%
466 1
< 0.1%
414 1
< 0.1%

수(전체)
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct115
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2727
Minimum0
Maximum1143
Zeros2252
Zeros (%)22.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T04:44:29.401427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q37
95-th percentile22
Maximum1143
Range1143
Interquartile range (IQR)6

Descriptive statistics

Standard deviation17.321499
Coefficient of variation (CV)2.7614104
Kurtosis1934.775
Mean6.2727
Median Absolute Deviation (MAD)3
Skewness33.080272
Sum62727
Variance300.03434
MonotonicityNot monotonic
2024-01-10T04:44:29.507742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2252
22.5%
1 1565
15.7%
2 1088
10.9%
3 860
 
8.6%
4 639
 
6.4%
5 533
 
5.3%
6 429
 
4.3%
7 317
 
3.2%
8 272
 
2.7%
9 237
 
2.4%
Other values (105) 1808
18.1%
ValueCountFrequency (%)
0 2252
22.5%
1 1565
15.7%
2 1088
10.9%
3 860
 
8.6%
4 639
 
6.4%
5 533
 
5.3%
6 429
 
4.3%
7 317
 
3.2%
8 272
 
2.7%
9 237
 
2.4%
ValueCountFrequency (%)
1143 1
< 0.1%
442 1
< 0.1%
391 1
< 0.1%
249 1
< 0.1%
236 1
< 0.1%
192 1
< 0.1%
187 1
< 0.1%
161 1
< 0.1%
151 1
< 0.1%
149 1
< 0.1%

거세(전체)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct212
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2016
Minimum0
Maximum1392
Zeros6790
Zeros (%)67.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T04:44:29.608577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile39
Maximum1392
Range1392
Interquartile range (IQR)3

Descriptive statistics

Standard deviation34.619862
Coefficient of variation (CV)4.2211107
Kurtosis347.81164
Mean8.2016
Median Absolute Deviation (MAD)0
Skewness13.712563
Sum82016
Variance1198.5348
MonotonicityNot monotonic
2024-01-10T04:44:29.719813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6790
67.9%
1 385
 
3.9%
2 288
 
2.9%
3 236
 
2.4%
4 167
 
1.7%
5 153
 
1.5%
6 134
 
1.3%
9 109
 
1.1%
8 97
 
1.0%
7 95
 
0.9%
Other values (202) 1546
 
15.5%
ValueCountFrequency (%)
0 6790
67.9%
1 385
 
3.9%
2 288
 
2.9%
3 236
 
2.4%
4 167
 
1.7%
5 153
 
1.5%
6 134
 
1.3%
7 95
 
0.9%
8 97
 
1.0%
9 109
 
1.1%
ValueCountFrequency (%)
1392 1
< 0.1%
828 1
< 0.1%
622 1
< 0.1%
536 1
< 0.1%
520 1
< 0.1%
509 1
< 0.1%
468 1
< 0.1%
450 1
< 0.1%
448 1
< 0.1%
444 1
< 0.1%

기타(전체)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1596
Minimum0
Maximum23
Zeros9017
Zeros (%)90.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T04:44:29.814995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum23
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.73944744
Coefficient of variation (CV)4.6331293
Kurtosis269.66536
Mean0.1596
Median Absolute Deviation (MAD)0
Skewness12.837252
Sum1596
Variance0.54678252
MonotonicityNot monotonic
2024-01-10T04:44:29.896380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 9017
90.2%
1 718
 
7.2%
2 151
 
1.5%
3 52
 
0.5%
4 21
 
0.2%
5 19
 
0.2%
7 4
 
< 0.1%
8 3
 
< 0.1%
10 3
 
< 0.1%
14 2
 
< 0.1%
Other values (8) 10
 
0.1%
ValueCountFrequency (%)
0 9017
90.2%
1 718
 
7.2%
2 151
 
1.5%
3 52
 
0.5%
4 21
 
0.2%
5 19
 
0.2%
6 2
 
< 0.1%
7 4
 
< 0.1%
8 3
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
23 1
 
< 0.1%
22 1
 
< 0.1%
16 1
 
< 0.1%
15 1
 
< 0.1%
14 2
< 0.1%
13 1
 
< 0.1%
12 1
 
< 0.1%
10 3
< 0.1%
9 2
< 0.1%
8 3
< 0.1%

계(한우)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct332
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.0108
Minimum0
Maximum2930
Zeros579
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T04:44:29.988474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median16
Q341
95-th percentile129
Maximum2930
Range2930
Interquartile range (IQR)36

Descriptive statistics

Standard deviation68.340716
Coefficient of variation (CV)1.9519896
Kurtosis532.03041
Mean35.0108
Median Absolute Deviation (MAD)13
Skewness15.793096
Sum350108
Variance4670.4535
MonotonicityNot monotonic
2024-01-10T04:44:30.102694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 579
 
5.8%
2 523
 
5.2%
3 413
 
4.1%
4 388
 
3.9%
5 384
 
3.8%
6 347
 
3.5%
1 326
 
3.3%
7 315
 
3.1%
8 294
 
2.9%
10 244
 
2.4%
Other values (322) 6187
61.9%
ValueCountFrequency (%)
0 579
5.8%
1 326
3.3%
2 523
5.2%
3 413
4.1%
4 388
3.9%
5 384
3.8%
6 347
3.5%
7 315
3.1%
8 294
2.9%
9 238
2.4%
ValueCountFrequency (%)
2930 1
< 0.1%
2522 1
< 0.1%
1446 1
< 0.1%
1072 1
< 0.1%
885 1
< 0.1%
762 1
< 0.1%
704 1
< 0.1%
701 1
< 0.1%
666 1
< 0.1%
632 1
< 0.1%

암(한우)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct231
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.8116
Minimum0
Maximum1536
Zeros1092
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T04:44:30.241280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median11
Q328
95-th percentile85
Maximum1536
Range1536
Interquartile range (IQR)25

Descriptive statistics

Standard deviation41.060871
Coefficient of variation (CV)1.7999996
Kurtosis324.71279
Mean22.8116
Median Absolute Deviation (MAD)9
Skewness12.039419
Sum228116
Variance1685.9951
MonotonicityNot monotonic
2024-01-10T04:44:30.590617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1092
 
10.9%
2 559
 
5.6%
3 491
 
4.9%
1 479
 
4.8%
4 474
 
4.7%
5 401
 
4.0%
6 370
 
3.7%
7 320
 
3.2%
8 282
 
2.8%
11 249
 
2.5%
Other values (221) 5283
52.8%
ValueCountFrequency (%)
0 1092
10.9%
1 479
4.8%
2 559
5.6%
3 491
4.9%
4 474
4.7%
5 401
 
4.0%
6 370
 
3.7%
7 320
 
3.2%
8 282
 
2.8%
9 248
 
2.5%
ValueCountFrequency (%)
1536 1
< 0.1%
1294 1
< 0.1%
952 1
< 0.1%
667 1
< 0.1%
616 1
< 0.1%
564 1
< 0.1%
468 1
< 0.1%
465 1
< 0.1%
414 1
< 0.1%
402 1
< 0.1%

수(한우)
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct108
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4723
Minimum0
Maximum1143
Zeros2766
Zeros (%)27.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T04:44:30.705066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q36
95-th percentile20
Maximum1143
Range1143
Interquartile range (IQR)6

Descriptive statistics

Standard deviation16.076165
Coefficient of variation (CV)2.9377346
Kurtosis2555.2996
Mean5.4723
Median Absolute Deviation (MAD)2
Skewness38.874007
Sum54723
Variance258.44308
MonotonicityNot monotonic
2024-01-10T04:44:30.822900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2766
27.7%
1 1558
15.6%
2 1057
 
10.6%
3 808
 
8.1%
4 607
 
6.1%
5 499
 
5.0%
6 407
 
4.1%
7 285
 
2.9%
8 241
 
2.4%
9 209
 
2.1%
Other values (98) 1563
15.6%
ValueCountFrequency (%)
0 2766
27.7%
1 1558
15.6%
2 1057
 
10.6%
3 808
 
8.1%
4 607
 
6.1%
5 499
 
5.0%
6 407
 
4.1%
7 285
 
2.9%
8 241
 
2.4%
9 209
 
2.1%
ValueCountFrequency (%)
1143 1
< 0.1%
391 1
< 0.1%
236 1
< 0.1%
192 1
< 0.1%
186 1
< 0.1%
161 1
< 0.1%
151 1
< 0.1%
149 1
< 0.1%
144 1
< 0.1%
141 1
< 0.1%

거세(한우)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct179
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.631
Minimum0
Maximum1392
Zeros7005
Zeros (%)70.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T04:44:30.925624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile33
Maximum1392
Range1392
Interquartile range (IQR)2

Descriptive statistics

Standard deviation28.860255
Coefficient of variation (CV)4.3523232
Kurtosis648.88251
Mean6.631
Median Absolute Deviation (MAD)0
Skewness18.446897
Sum66310
Variance832.91433
MonotonicityNot monotonic
2024-01-10T04:44:31.026487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7005
70.0%
1 347
 
3.5%
2 281
 
2.8%
3 229
 
2.3%
4 163
 
1.6%
5 148
 
1.5%
6 121
 
1.2%
9 104
 
1.0%
8 95
 
0.9%
7 93
 
0.9%
Other values (169) 1414
 
14.1%
ValueCountFrequency (%)
0 7005
70.0%
1 347
 
3.5%
2 281
 
2.8%
3 229
 
2.3%
4 163
 
1.6%
5 148
 
1.5%
6 121
 
1.2%
7 93
 
0.9%
8 95
 
0.9%
9 104
 
1.0%
ValueCountFrequency (%)
1392 1
< 0.1%
828 1
< 0.1%
520 1
< 0.1%
468 1
< 0.1%
448 1
< 0.1%
402 1
< 0.1%
346 1
< 0.1%
343 1
< 0.1%
340 1
< 0.1%
337 1
< 0.1%

기타(한우)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0959
Minimum0
Maximum14
Zeros9282
Zeros (%)92.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T04:44:31.110320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.44330897
Coefficient of variation (CV)4.622617
Kurtosis224.01475
Mean0.0959
Median Absolute Deviation (MAD)0
Skewness10.885731
Sum959
Variance0.19652284
MonotonicityNot monotonic
2024-01-10T04:44:31.186778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 9282
92.8%
1 583
 
5.8%
2 93
 
0.9%
3 16
 
0.2%
4 14
 
0.1%
5 7
 
0.1%
13 1
 
< 0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 9282
92.8%
1 583
 
5.8%
2 93
 
0.9%
3 16
 
0.2%
4 14
 
0.1%
5 7
 
0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
13 1
 
< 0.1%
ValueCountFrequency (%)
14 1
 
< 0.1%
13 1
 
< 0.1%
9 1
 
< 0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
5 7
 
0.1%
4 14
 
0.1%
3 16
 
0.2%
2 93
 
0.9%
1 583
5.8%

(젖소)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct189
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6467
Minimum0
Maximum1225
Zeros9110
Zeros (%)91.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T04:44:31.286501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile44
Maximum1225
Range1225
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.399287
Coefficient of variation (CV)4.8522655
Kurtosis422.88211
Mean5.6467
Median Absolute Deviation (MAD)0
Skewness13.203655
Sum56467
Variance750.72095
MonotonicityNot monotonic
2024-01-10T04:44:31.392930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9110
91.1%
1 57
 
0.6%
2 36
 
0.4%
5 20
 
0.2%
4 19
 
0.2%
3 16
 
0.2%
11 14
 
0.1%
6 14
 
0.1%
10 11
 
0.1%
58 11
 
0.1%
Other values (179) 692
 
6.9%
ValueCountFrequency (%)
0 9110
91.1%
1 57
 
0.6%
2 36
 
0.4%
3 16
 
0.2%
4 19
 
0.2%
5 20
 
0.2%
6 14
 
0.1%
7 8
 
0.1%
8 10
 
0.1%
9 7
 
0.1%
ValueCountFrequency (%)
1225 1
< 0.1%
411 1
< 0.1%
362 1
< 0.1%
350 1
< 0.1%
324 1
< 0.1%
294 1
< 0.1%
287 1
< 0.1%
269 1
< 0.1%
268 1
< 0.1%
258 1
< 0.1%

계(육우)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct133
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5284
Minimum0
Maximum689
Zeros9080
Zeros (%)90.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T04:44:31.495462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum689
Range689
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22.408882
Coefficient of variation (CV)8.8628707
Kurtosis347.22521
Mean2.5284
Median Absolute Deviation (MAD)0
Skewness16.714752
Sum25284
Variance502.15801
MonotonicityNot monotonic
2024-01-10T04:44:31.599123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9080
90.8%
1 113
 
1.1%
2 89
 
0.9%
3 82
 
0.8%
4 74
 
0.7%
5 47
 
0.5%
6 46
 
0.5%
8 40
 
0.4%
10 28
 
0.3%
7 27
 
0.3%
Other values (123) 374
 
3.7%
ValueCountFrequency (%)
0 9080
90.8%
1 113
 
1.1%
2 89
 
0.9%
3 82
 
0.8%
4 74
 
0.7%
5 47
 
0.5%
6 46
 
0.5%
7 27
 
0.3%
8 40
 
0.4%
9 22
 
0.2%
ValueCountFrequency (%)
689 1
< 0.1%
642 1
< 0.1%
546 1
< 0.1%
510 1
< 0.1%
478 1
< 0.1%
452 1
< 0.1%
416 1
< 0.1%
414 1
< 0.1%
394 1
< 0.1%
380 1
< 0.1%

암(육우)
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0937
Minimum0
Maximum141
Zeros9758
Zeros (%)97.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T04:44:31.732030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum141
Range141
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.7027067
Coefficient of variation (CV)18.171897
Kurtosis4826.8659
Mean0.0937
Median Absolute Deviation (MAD)0
Skewness62.093152
Sum937
Variance2.8992102
MonotonicityNot monotonic
2024-01-10T04:44:31.819653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 9758
97.6%
1 114
 
1.1%
2 44
 
0.4%
3 28
 
0.3%
4 13
 
0.1%
5 9
 
0.1%
6 8
 
0.1%
12 4
 
< 0.1%
10 4
 
< 0.1%
13 3
 
< 0.1%
Other values (9) 15
 
0.1%
ValueCountFrequency (%)
0 9758
97.6%
1 114
 
1.1%
2 44
 
0.4%
3 28
 
0.3%
4 13
 
0.1%
5 9
 
0.1%
6 8
 
0.1%
7 3
 
< 0.1%
8 2
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
141 1
 
< 0.1%
55 1
 
< 0.1%
35 1
 
< 0.1%
23 1
 
< 0.1%
19 2
< 0.1%
16 2
< 0.1%
13 3
< 0.1%
12 4
< 0.1%
10 4
< 0.1%
9 2
< 0.1%

수(육우)
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct60
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8004
Minimum0
Maximum442
Zeros9250
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T04:44:31.928096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum442
Range442
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.8552505
Coefficient of variation (CV)8.5647807
Kurtosis1913.0797
Mean0.8004
Median Absolute Deviation (MAD)0
Skewness35.140689
Sum8004
Variance46.994459
MonotonicityNot monotonic
2024-01-10T04:44:32.036919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9250
92.5%
1 107
 
1.1%
2 91
 
0.9%
3 84
 
0.8%
4 55
 
0.5%
5 51
 
0.5%
6 46
 
0.5%
7 31
 
0.3%
8 31
 
0.3%
9 26
 
0.3%
Other values (50) 228
 
2.3%
ValueCountFrequency (%)
0 9250
92.5%
1 107
 
1.1%
2 91
 
0.9%
3 84
 
0.8%
4 55
 
0.5%
5 51
 
0.5%
6 46
 
0.5%
7 31
 
0.3%
8 31
 
0.3%
9 26
 
0.3%
ValueCountFrequency (%)
442 1
< 0.1%
236 1
< 0.1%
141 1
< 0.1%
125 1
< 0.1%
108 1
< 0.1%
97 1
< 0.1%
96 2
< 0.1%
91 1
< 0.1%
87 1
< 0.1%
77 1
< 0.1%

거세(육우)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct105
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5706
Minimum0
Maximum622
Zeros9667
Zeros (%)96.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T04:44:32.140255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum622
Range622
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19.128058
Coefficient of variation (CV)12.178822
Kurtosis414.29998
Mean1.5706
Median Absolute Deviation (MAD)0
Skewness18.638381
Sum15706
Variance365.8826
MonotonicityNot monotonic
2024-01-10T04:44:32.245397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9667
96.7%
1 68
 
0.7%
2 27
 
0.3%
3 25
 
0.2%
5 15
 
0.1%
4 15
 
0.1%
6 10
 
0.1%
14 7
 
0.1%
8 7
 
0.1%
10 7
 
0.1%
Other values (95) 152
 
1.5%
ValueCountFrequency (%)
0 9667
96.7%
1 68
 
0.7%
2 27
 
0.3%
3 25
 
0.2%
4 15
 
0.1%
5 15
 
0.1%
6 10
 
0.1%
7 5
 
0.1%
8 7
 
0.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
622 1
< 0.1%
536 1
< 0.1%
507 1
< 0.1%
450 1
< 0.1%
444 1
< 0.1%
412 1
< 0.1%
392 1
< 0.1%
380 1
< 0.1%
347 1
< 0.1%
338 1
< 0.1%

기타(육우)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0637
Minimum0
Maximum22
Zeros9718
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T04:44:32.350093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.58726212
Coefficient of variation (CV)9.2191856
Kurtosis550.0405
Mean0.0637
Median Absolute Deviation (MAD)0
Skewness19.89873
Sum637
Variance0.3448768
MonotonicityNot monotonic
2024-01-10T04:44:32.431309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 9718
97.2%
1 153
 
1.5%
2 63
 
0.6%
3 34
 
0.3%
5 11
 
0.1%
4 5
 
0.1%
7 4
 
< 0.1%
10 3
 
< 0.1%
9 1
 
< 0.1%
22 1
 
< 0.1%
Other values (7) 7
 
0.1%
ValueCountFrequency (%)
0 9718
97.2%
1 153
 
1.5%
2 63
 
0.6%
3 34
 
0.3%
4 5
 
0.1%
5 11
 
0.1%
6 1
 
< 0.1%
7 4
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
22 1
 
< 0.1%
21 1
 
< 0.1%
16 1
 
< 0.1%
15 1
 
< 0.1%
14 1
 
< 0.1%
12 1
 
< 0.1%
10 3
< 0.1%
9 1
 
< 0.1%
8 1
 
< 0.1%
7 4
< 0.1%

Interactions

2024-01-10T04:44:26.424882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:06.892450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:08.389253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:09.700549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:10.871624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:12.294657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:13.439255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:14.660644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:15.884257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:17.364174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:18.618024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:19.837935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:21.229902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:22.428361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:23.656063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:24.821339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:26.540062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:06.975580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:08.472927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:09.770960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:10.944541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:12.365515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:13.516896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:14.734761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:15.955102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:17.439364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:18.691252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:19.912079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:21.302216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:22.510078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:23.729672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:24.892890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:26.645825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:07.065575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:08.556954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:09.857847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:11.023682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:12.438818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:13.593859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:14.818006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:16.057948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:17.518116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:18.767807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-01-10T04:44:09.627467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:10.806406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:12.226711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:13.375399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:14.591039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:15.812591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:17.296117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:18.550104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:19.766380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:21.165799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:22.357634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:23.587929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:24.757752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:44:26.332632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T04:44:32.504735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계(전체)암(전체)수(전체)거세(전체)기타(전체)계(한우)암(한우)수(한우)거세(한우)기타(한우)(젖소)계(육우)암(육우)수(육우)거세(육우)기타(육우)
계(전체)1.0000.8800.7770.9140.3990.9960.8920.8340.7600.8770.5300.4580.5170.2520.4020.274
암(전체)0.8801.0000.7480.4950.5170.8690.9970.7900.5210.6590.6300.1620.5310.1250.0220.237
수(전체)0.7770.7481.0000.5120.4700.7750.7880.9880.4910.5700.0000.4800.0000.6620.3890.423
거세(전체)0.9140.4950.5121.0000.2590.9280.6390.6600.9290.8110.0000.7130.0150.1010.8160.117
기타(전체)0.3990.5170.4700.2591.0000.3610.5330.3230.2600.7190.1990.4480.5920.6160.3070.937
계(한우)0.9960.8690.7750.9280.3611.0000.9060.8400.8280.8780.0000.0000.0000.0000.0000.000
암(한우)0.8920.9970.7880.6390.5330.9061.0000.8500.6680.7440.0000.0000.0000.0000.0000.000
수(한우)0.8340.7900.9880.6600.3230.8400.8501.0000.6450.6970.0000.0000.0000.0000.0000.000
거세(한우)0.7600.5210.4910.9290.2600.8280.6680.6451.0000.6380.0000.0000.0000.0000.0000.000
기타(한우)0.8770.6590.5700.8110.7190.8780.7440.6970.6381.0000.0000.0000.0710.0000.0000.027
(젖소)0.5300.6300.0000.0000.1990.0000.0000.0000.0000.0001.0000.2480.8630.2080.0000.275
계(육우)0.4580.1620.4800.7130.4480.0000.0000.0000.0000.0000.2481.0000.3020.7270.9240.689
암(육우)0.5170.5310.0000.0150.5920.0000.0000.0000.0000.0710.8630.3021.0000.0850.1560.690
수(육우)0.2520.1250.6620.1010.6160.0000.0000.0000.0000.0000.2080.7270.0851.0000.4650.718
거세(육우)0.4020.0220.3890.8160.3070.0000.0000.0000.0000.0000.0000.9240.1560.4651.0000.388
기타(육우)0.2740.2370.4230.1170.9370.0000.0000.0000.0000.0270.2750.6890.6900.7180.3881.000
2024-01-10T04:44:32.634826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계(전체)암(전체)수(전체)거세(전체)기타(전체)계(한우)암(한우)수(한우)거세(한우)기타(한우)(젖소)계(육우)암(육우)수(육우)거세(육우)기타(육우)
계(전체)1.0000.8570.7610.5100.3230.7400.6250.6120.4690.2560.2760.2990.1610.2880.1930.195
암(전체)0.8571.0000.7190.2230.2850.6360.7510.5970.2220.2400.2930.2380.1400.2560.0650.152
수(전체)0.7610.7191.0000.2760.2570.6430.6150.8800.2580.2210.1220.1750.0930.2160.0980.131
거세(전체)0.5100.2230.2761.0000.2070.4740.2330.2540.9510.195-0.0040.0920.0910.0310.2780.081
기타(전체)0.3230.2850.2570.2071.0000.1470.1330.1350.1520.8360.2240.2780.1710.2410.2270.528
계(한우)0.7400.6360.6430.4740.1471.0000.8830.7980.5410.283-0.349-0.306-0.097-0.319-0.126-0.164
암(한우)0.6250.7510.6150.2330.1330.8831.0000.7670.2940.266-0.341-0.308-0.102-0.315-0.140-0.165
수(한우)0.6120.5970.8800.2540.1350.7980.7671.0000.3020.238-0.237-0.212-0.061-0.215-0.099-0.116
거세(한우)0.4690.2220.2580.9510.1520.5410.2940.3021.0000.206-0.106-0.0680.013-0.0970.018-0.033
기타(한우)0.2560.2400.2210.1950.8360.2830.2660.2380.2061.000-0.037-0.0190.015-0.0350.009-0.007
(젖소)0.2760.2930.122-0.0040.224-0.349-0.341-0.237-0.106-0.0371.0000.8150.3900.8200.3770.477
계(육우)0.2990.2380.1750.0920.278-0.306-0.308-0.212-0.068-0.0190.8151.0000.5000.8980.6050.551
암(육우)0.1610.1400.0930.0910.171-0.097-0.102-0.0610.0130.0150.3900.5001.0000.3760.3490.306
수(육우)0.2880.2560.2160.0310.241-0.319-0.315-0.215-0.097-0.0350.8200.8980.3761.0000.4350.504
거세(육우)0.1930.0650.0980.2780.227-0.126-0.140-0.0990.0180.0090.3770.6050.3490.4351.0000.422
기타(육우)0.1950.1520.1310.0810.528-0.164-0.165-0.116-0.033-0.0070.4770.5510.3060.5040.4221.000

Missing values

2024-01-10T04:44:27.937768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T04:44:28.153478image/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

소재지계(전체)암(전체)수(전체)거세(전체)기타(전체)계(한우)암(한우)수(한우)거세(한우)기타(한우)(젖소)계(육우)암(육우)수(육우)거세(육우)기타(육우)
3024둔포면 충무로1177번길 2922166002216600000000
9438금마면 월암리 6306462200431005910100
1844이인면 초봉리 46520182002018200000000
10237홍북읍 내용길 12725223002522300000000
1849이인면 검바위로 377-263825310038253100000000
9136광천읍 운용리 16465575306557530000000
6923은산면 내대로130번길 131100011000000000
452서북구 성환읍 어룡2길 55-2836278013527800010001
11144삽교읍 상하벚꽃길 53119200119200000000
6141남이면 휴양림로 502-202200022000000000
소재지계(전체)암(전체)수(전체)거세(전체)기타(전체)계(한우)암(한우)수(한우)거세(한우)기타(한우)(젖소)계(육우)암(육우)수(육우)거세(육우)기타(육우)
12028태안읍 도내리 595-46460310000006040310
8598청남면 지곡리 700-448399004839900000000
3113선장면 궁평리 941817100431001400000
10180홍동면 홍원리 749-13823213038232130000000
11275신암면 조곡예림길 317-4943367004336700000000
8495정산면 역말길 139-649900099000000000
5927합덕읍 내동로 297-518121501812150000000
10077홍동면 홍장북로 55-826195202619520000000
2562주산면 주야리 23-785687918568791000000
2197남포면 달산리 3699727268097272680000000

Duplicate rows

Most frequently occurring

소재지계(전체)암(전체)수(전체)거세(전체)기타(전체)계(한우)암(한우)수(한우)거세(한우)기타(한우)(젖소)계(육우)암(육우)수(육우)거세(육우)기타(육우)# duplicates
0금산읍 상어동길 23-822000220000000002
1우성면 옥성길 483-43440044044004400000002
2유구읍 옥화동길 410100101000000002
3정산면 충신길 2022000220000000002
4태안읍 상도로 562-1722000220000000002
5판교면 대백제로2105번길 74-3131120013112000000002