Overview

Dataset statistics

Number of variables31
Number of observations10000
Missing cells79234
Missing cells (%)25.6%
Duplicate rows1438
Duplicate rows (%)14.4%
Total size in memory2.7 MiB
Average record size in memory282.0 B

Variable types

Categorical13
Numeric18

Dataset

Description현재 농작물재해보험에 계약된 시설작물 연도별, 1~5작기품목별,1~5작기가입면적, 1~5작기보험가액, 1~5작기보험비율, 현황항목 설명: STRBR(시설딸기),CUCUM 시설오이 ORMEL(시설참외) TMATO(시설토마토) CHRYS,CHRYR(시설국화), WMLON(시설수박), ROSES(시설장미)CHILI(시설풋고추), PUMPK 시설호박, MELON(시설메론), PAPRK(시설파프리카), LETTC(시설상추), CHIVE(시설부추), SPNCH(시설시금치),MUSH2(느타리버섯)MUSH1(표고버섯), EGGPL(시설가지), SMAON(시설쪽파), SPRON (시설대파), CABBA(시설배추), DAIKO(시설무), LILY(시설백합),CARNA,CARNR(시설카네이션)MNARY(시설미나리),DAISY(시설쑥갓), MUSH3(새송이버섯), MUSH4(양송이버섯)
Author농업정책보험금융원
URLhttps://www.data.go.kr/data/15090455/fileData.do

Alerts

기준년도 has constant value ""Constant
1작기보험가입비율 has constant value ""Constant
Dataset has 1438 (14.4%) duplicate rowsDuplicates
2작기품목코드 is highly imbalanced (52.0%)Imbalance
3작기품목코드 is highly imbalanced (72.3%)Imbalance
4작기품목코드 is highly imbalanced (85.7%)Imbalance
4작기보험가입비율 is highly imbalanced (64.1%)Imbalance
5작기품목코드 is highly imbalanced (93.9%)Imbalance
5작기정식월 is highly imbalanced (99.9%)Imbalance
5작기수확종료월 is highly imbalanced (99.9%)Imbalance
5작기보험가입비율 is highly imbalanced (83.2%)Imbalance
1작기정식월 has 9748 (97.5%) missing valuesMissing
1작기수확종료월 has 9748 (97.5%) missing valuesMissing
2작기정식월 has 9948 (99.5%) missing valuesMissing
2작기수확종료월 has 9948 (99.5%) missing valuesMissing
3작기정식월 has 9948 (99.5%) missing valuesMissing
3작기수확종료월 has 9948 (99.5%) missing valuesMissing
4작기정식월 has 9973 (99.7%) missing valuesMissing
4작기수확종료월 has 9973 (99.7%) missing valuesMissing
2작기가입면적 has 6531 (65.3%) zerosZeros
2작기보험가액 has 6531 (65.3%) zerosZeros
3작기가입면적 has 8475 (84.8%) zerosZeros
3작기보험가액 has 8475 (84.8%) zerosZeros
4작기가입면적 has 9318 (93.2%) zerosZeros
4작기보험가액 has 9318 (93.2%) zerosZeros
5작기가입면적 has 9752 (97.5%) zerosZeros
5작기보험가액 has 9752 (97.5%) zerosZeros

Reproduction

Analysis started2023-12-11 23:38:29.307737
Analysis finished2023-12-11 23:38:29.745657
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2022
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 10000
100.0%

Length

2023-12-12T08:38:29.801981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:38:29.885110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 10000
100.0%

1작기품목코드
Categorical

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
WMLON
1855 
ORMEL
1739 
STRBR
1247 
TMATO
880 
CHILI
727 
Other values (23)
3552 

Length

Max length5
Median length5
Mean length4.9995
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowWMLON
2nd rowSTRBR
3rd rowORMEL
4th rowWMLON
5th rowWMLON

Common Values

ValueCountFrequency (%)
WMLON 1855
18.6%
ORMEL 1739
17.4%
STRBR 1247
12.5%
TMATO 880
8.8%
CHILI 727
 
7.3%
LETTC 603
 
6.0%
CUCUM 487
 
4.9%
MELON 477
 
4.8%
CHIVE 323
 
3.2%
DAIKO 269
 
2.7%
Other values (18) 1393
13.9%

Length

2023-12-12T08:38:29.967685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
wmlon 1855
18.6%
ormel 1739
17.4%
strbr 1247
12.5%
tmato 880
8.8%
chili 727
 
7.3%
lettc 603
 
6.0%
cucum 487
 
4.9%
melon 477
 
4.8%
chive 323
 
3.2%
daiko 269
 
2.7%
Other values (18) 1393
13.9%

1작기가입면적
Real number (ℝ)

Distinct1978
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean654.75854
Minimum41.58
Maximum28479
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:38:30.318578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41.58
5-th percentile222
Q1442
median560.5
Q3669.35
95-th percentile1200.75
Maximum28479
Range28437.42
Interquartile range (IQR)227.35

Descriptive statistics

Standard deviation765.44581
Coefficient of variation (CV)1.1690505
Kurtosis318.37649
Mean654.75854
Median Absolute Deviation (MAD)112.5
Skewness13.844447
Sum6547585.4
Variance585907.29
MonotonicityNot monotonic
2023-12-12T08:38:30.424087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
570.0 286
 
2.9%
600.0 193
 
1.9%
540.0 139
 
1.4%
700.0 133
 
1.3%
560.0 104
 
1.0%
576.0 89
 
0.9%
720.0 82
 
0.8%
608.0 80
 
0.8%
650.0 80
 
0.8%
665.0 79
 
0.8%
Other values (1968) 8735
87.4%
ValueCountFrequency (%)
41.58 1
< 0.1%
54.0 1
< 0.1%
65.0 1
< 0.1%
66.0 1
< 0.1%
70.0 1
< 0.1%
70.5 1
< 0.1%
72.0 1
< 0.1%
72.9 1
< 0.1%
75.0 1
< 0.1%
79.8 1
< 0.1%
ValueCountFrequency (%)
28479.0 1
< 0.1%
20160.0 1
< 0.1%
15680.0 1
< 0.1%
15360.0 1
< 0.1%
14807.8 1
< 0.1%
14553.0 1
< 0.1%
14520.0 1
< 0.1%
13600.0 1
< 0.1%
12936.0 1
< 0.1%
11700.0 1
< 0.1%

1작기정식월
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)4.4%
Missing9748
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean6.4404762
Minimum2
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:38:30.530386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median6
Q38
95-th percentile12
Maximum12
Range10
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.7643916
Coefficient of variation (CV)0.42922162
Kurtosis-0.54821809
Mean6.4404762
Median Absolute Deviation (MAD)2
Skewness0.50468867
Sum1623
Variance7.6418611
MonotonicityNot monotonic
2023-12-12T08:38:30.627035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
7 44
 
0.4%
5 36
 
0.4%
6 34
 
0.3%
4 30
 
0.3%
3 27
 
0.3%
9 20
 
0.2%
12 19
 
0.2%
11 16
 
0.2%
8 13
 
0.1%
2 11
 
0.1%
(Missing) 9748
97.5%
ValueCountFrequency (%)
2 11
 
0.1%
3 27
0.3%
4 30
0.3%
5 36
0.4%
6 34
0.3%
7 44
0.4%
8 13
 
0.1%
9 20
0.2%
10 2
 
< 0.1%
11 16
 
0.2%
ValueCountFrequency (%)
12 19
0.2%
11 16
 
0.2%
10 2
 
< 0.1%
9 20
0.2%
8 13
 
0.1%
7 44
0.4%
6 34
0.3%
5 36
0.4%
4 30
0.3%
3 27
0.3%

1작기수확종료월
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)4.8%
Missing9748
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean6.1031746
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:38:30.724730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q14
median6
Q37
95-th percentile10
Maximum12
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.4602962
Coefficient of variation (CV)0.40311746
Kurtosis-0.61330173
Mean6.1031746
Median Absolute Deviation (MAD)2
Skewness0.35095777
Sum1538
Variance6.0530576
MonotonicityNot monotonic
2023-12-12T08:38:30.838776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5 45
 
0.4%
7 41
 
0.4%
6 37
 
0.4%
4 28
 
0.3%
3 27
 
0.3%
10 26
 
0.3%
8 13
 
0.1%
2 12
 
0.1%
9 11
 
0.1%
11 9
 
0.1%
Other values (2) 3
 
< 0.1%
(Missing) 9748
97.5%
ValueCountFrequency (%)
1 1
 
< 0.1%
2 12
 
0.1%
3 27
0.3%
4 28
0.3%
5 45
0.4%
6 37
0.4%
7 41
0.4%
8 13
 
0.1%
9 11
 
0.1%
10 26
0.3%
ValueCountFrequency (%)
12 2
 
< 0.1%
11 9
 
0.1%
10 26
0.3%
9 11
 
0.1%
8 13
 
0.1%
7 41
0.4%
6 37
0.4%
5 45
0.4%
4 28
0.3%
3 27
0.3%

1작기보험가액
Real number (ℝ)

Distinct1635
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6912055
Minimum200000
Maximum5.7254 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:38:30.968240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200000
5-th percentile1080000
Q12820000
median3890000
Q37180000
95-th percentile15571000
Maximum5.7254 × 108
Range5.7234 × 108
Interquartile range (IQR)4360000

Descriptive statistics

Standard deviation15916226
Coefficient of variation (CV)2.3026764
Kurtosis432.25337
Mean6912055
Median Absolute Deviation (MAD)1660000
Skewness17.321869
Sum6.912055 × 1010
Variance2.5332625 × 1014
MonotonicityNot monotonic
2023-12-12T08:38:31.122856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3130000 123
 
1.2%
3300000 87
 
0.9%
3340000 78
 
0.8%
3850000 77
 
0.8%
3230000 67
 
0.7%
2970000 65
 
0.7%
4140000 54
 
0.5%
3030000 53
 
0.5%
3570000 50
 
0.5%
3390000 49
 
0.5%
Other values (1625) 9297
93.0%
ValueCountFrequency (%)
200000 2
< 0.1%
230000 2
< 0.1%
240000 1
 
< 0.1%
270000 1
 
< 0.1%
280000 2
< 0.1%
290000 1
 
< 0.1%
300000 3
< 0.1%
320000 1
 
< 0.1%
340000 1
 
< 0.1%
350000 1
 
< 0.1%
ValueCountFrequency (%)
572540000 1
< 0.1%
515460000 1
< 0.1%
413300000 1
< 0.1%
386240000 1
< 0.1%
367380000 1
< 0.1%
286270000 1
< 0.1%
281680000 1
< 0.1%
278790000 1
< 0.1%
250680000 1
< 0.1%
245510000 1
< 0.1%

1작기보험가입비율
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
100
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100

Common Values

ValueCountFrequency (%)
100 10000
100.0%

Length

2023-12-12T08:38:31.241393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:38:31.320767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 10000
100.0%

2작기품목코드
Categorical

IMBALANCE 

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6531 
WMLON
 
599
MELON
 
540
DAIKO
 
350
TMATO
 
324
Other values (19)
1656 

Length

Max length5
Median length4
Mean length4.3469
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowSPNCH
2nd row<NA>
3rd row<NA>
4th row<NA>
5th rowMELON

Common Values

ValueCountFrequency (%)
<NA> 6531
65.3%
WMLON 599
 
6.0%
MELON 540
 
5.4%
DAIKO 350
 
3.5%
TMATO 324
 
3.2%
SPNCH 280
 
2.8%
LETTC 278
 
2.8%
PUMPK 207
 
2.1%
CUCUM 193
 
1.9%
CHILI 149
 
1.5%
Other values (14) 549
 
5.5%

Length

2023-12-12T08:38:31.409234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 6531
65.3%
wmlon 599
 
6.0%
melon 540
 
5.4%
daiko 350
 
3.5%
tmato 324
 
3.2%
spnch 280
 
2.8%
lettc 278
 
2.8%
pumpk 207
 
2.1%
cucum 193
 
1.9%
chili 149
 
1.5%
Other values (14) 549
 
5.5%

2작기가입면적
Real number (ℝ)

ZEROS 

Distinct1021
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean206.75317
Minimum0
Maximum14807.8
Zeros6531
Zeros (%)65.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:38:31.522620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3479.2875
95-th percentile720
Maximum14807.8
Range14807.8
Interquartile range (IQR)479.2875

Descriptive statistics

Standard deviation415.34874
Coefficient of variation (CV)2.0089111
Kurtosis240.28092
Mean206.75317
Median Absolute Deviation (MAD)0
Skewness10.056669
Sum2067531.7
Variance172514.58
MonotonicityNot monotonic
2023-12-12T08:38:31.672175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6531
65.3%
570.0 166
 
1.7%
600.0 76
 
0.8%
540.0 63
 
0.6%
551.0 54
 
0.5%
700.0 48
 
0.5%
576.0 36
 
0.4%
513.0 35
 
0.4%
617.5 34
 
0.3%
608.0 33
 
0.3%
Other values (1011) 2924
29.2%
ValueCountFrequency (%)
0.0 6531
65.3%
82.35 1
 
< 0.1%
90.0 1
 
< 0.1%
92.8 1
 
< 0.1%
97.2 1
 
< 0.1%
100.0 1
 
< 0.1%
108.0 2
 
< 0.1%
117.0 1
 
< 0.1%
118.8 1
 
< 0.1%
120.0 1
 
< 0.1%
ValueCountFrequency (%)
14807.8 1
< 0.1%
10944.0 1
< 0.1%
6860.0 2
< 0.1%
6650.0 1
< 0.1%
6552.0 1
< 0.1%
6400.0 1
< 0.1%
5320.0 1
< 0.1%
5250.0 1
< 0.1%
4725.0 1
< 0.1%
4608.0 1
< 0.1%

2작기정식월
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)15.4%
Missing9948
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean5.4423077
Minimum2
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:38:31.791048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14.75
median5
Q37
95-th percentile9
Maximum9
Range7
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.7310709
Coefficient of variation (CV)0.31807663
Kurtosis-0.15386563
Mean5.4423077
Median Absolute Deviation (MAD)1
Skewness0.33694124
Sum283
Variance2.9966063
MonotonicityNot monotonic
2023-12-12T08:38:31.880721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 20
 
0.2%
7 9
 
0.1%
4 7
 
0.1%
3 4
 
< 0.1%
9 4
 
< 0.1%
6 4
 
< 0.1%
2 2
 
< 0.1%
8 2
 
< 0.1%
(Missing) 9948
99.5%
ValueCountFrequency (%)
2 2
 
< 0.1%
3 4
 
< 0.1%
4 7
 
0.1%
5 20
0.2%
6 4
 
< 0.1%
7 9
0.1%
8 2
 
< 0.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
9 4
 
< 0.1%
8 2
 
< 0.1%
7 9
0.1%
6 4
 
< 0.1%
5 20
0.2%
4 7
 
0.1%
3 4
 
< 0.1%
2 2
 
< 0.1%

2작기수확종료월
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)15.4%
Missing9948
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean5.4423077
Minimum2
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:38:31.975673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14.75
median5
Q37
95-th percentile9
Maximum9
Range7
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.7310709
Coefficient of variation (CV)0.31807663
Kurtosis-0.15386563
Mean5.4423077
Median Absolute Deviation (MAD)1
Skewness0.33694124
Sum283
Variance2.9966063
MonotonicityNot monotonic
2023-12-12T08:38:32.066947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 20
 
0.2%
7 9
 
0.1%
4 7
 
0.1%
3 4
 
< 0.1%
9 4
 
< 0.1%
6 4
 
< 0.1%
2 2
 
< 0.1%
8 2
 
< 0.1%
(Missing) 9948
99.5%
ValueCountFrequency (%)
2 2
 
< 0.1%
3 4
 
< 0.1%
4 7
 
0.1%
5 20
0.2%
6 4
 
< 0.1%
7 9
0.1%
8 2
 
< 0.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
9 4
 
< 0.1%
8 2
 
< 0.1%
7 9
0.1%
6 4
 
< 0.1%
5 20
0.2%
4 7
 
0.1%
3 4
 
< 0.1%
2 2
 
< 0.1%

2작기보험가액
Real number (ℝ)

ZEROS 

Distinct902
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1580202
Minimum0
Maximum1.8933 × 108
Zeros6531
Zeros (%)65.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:38:32.186518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31780000
95-th percentile7050500
Maximum1.8933 × 108
Range1.8933 × 108
Interquartile range (IQR)1780000

Descriptive statistics

Standard deviation4516314.8
Coefficient of variation (CV)2.8580617
Kurtosis480.41205
Mean1580202
Median Absolute Deviation (MAD)0
Skewness16.094314
Sum1.580202 × 1010
Variance2.0397099 × 1013
MonotonicityNot monotonic
2023-12-12T08:38:32.329543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6531
65.3%
3130000 57
 
0.6%
3300000 31
 
0.3%
5130000 30
 
0.3%
2970000 29
 
0.3%
1020000 28
 
0.3%
930000 27
 
0.3%
3340000 26
 
0.3%
3390000 25
 
0.2%
3230000 25
 
0.2%
Other values (892) 3191
31.9%
ValueCountFrequency (%)
0 6531
65.3%
210000 1
 
< 0.1%
220000 1
 
< 0.1%
270000 2
 
< 0.1%
290000 3
 
< 0.1%
330000 1
 
< 0.1%
350000 1
 
< 0.1%
360000 2
 
< 0.1%
380000 4
 
< 0.1%
400000 1
 
< 0.1%
ValueCountFrequency (%)
189330000 1
< 0.1%
137710000 1
< 0.1%
113340000 1
< 0.1%
98090000 1
< 0.1%
95990000 1
< 0.1%
61840000 1
< 0.1%
60060000 2
< 0.1%
59520000 1
< 0.1%
54490000 1
< 0.1%
47880000 1
< 0.1%

2작기보험가입비율
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6531 
100
3469 

Length

Max length3
Median length1
Mean length1.6938
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100
2nd row0
3rd row0
4th row0
5th row100

Common Values

ValueCountFrequency (%)
0 6531
65.3%
100 3469
34.7%

Length

2023-12-12T08:38:32.482211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:38:32.623923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6531
65.3%
100 3469
34.7%

3작기품목코드
Categorical

IMBALANCE 

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8475 
SPNCH
 
229
DAIKO
 
150
WMLON
 
146
PUMPK
 
137
Other values (15)
863 

Length

Max length5
Median length4
Mean length4.1525
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8475
84.8%
SPNCH 229
 
2.3%
DAIKO 150
 
1.5%
WMLON 146
 
1.5%
PUMPK 137
 
1.4%
SPRON 117
 
1.2%
LETTC 111
 
1.1%
MELON 107
 
1.1%
SMAON 90
 
0.9%
TMATO 81
 
0.8%
Other values (10) 357
 
3.6%

Length

2023-12-12T08:38:32.721744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 8475
84.8%
spnch 229
 
2.3%
daiko 150
 
1.5%
wmlon 146
 
1.5%
pumpk 137
 
1.4%
spron 117
 
1.2%
lettc 111
 
1.1%
melon 107
 
1.1%
smaon 90
 
0.9%
tmato 81
 
0.8%
Other values (10) 357
 
3.6%

3작기가입면적
Real number (ℝ)

ZEROS 

Distinct581
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.016027
Minimum0
Maximum4725
Zeros8475
Zeros (%)84.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:38:32.855757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile576
Maximum4725
Range4725
Interquartile range (IQR)0

Descriptive statistics

Standard deviation234.78285
Coefficient of variation (CV)2.7945008
Kurtosis64.494716
Mean84.016027
Median Absolute Deviation (MAD)0
Skewness5.4924828
Sum840160.27
Variance55122.989
MonotonicityNot monotonic
2023-12-12T08:38:33.020986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8475
84.8%
570.0 86
 
0.9%
540.0 34
 
0.3%
551.0 30
 
0.3%
600.0 27
 
0.3%
576.0 18
 
0.2%
480.0 18
 
0.2%
513.0 17
 
0.2%
522.0 16
 
0.2%
532.0 16
 
0.2%
Other values (571) 1263
 
12.6%
ValueCountFrequency (%)
0.0 8475
84.8%
90.0 1
 
< 0.1%
92.8 1
 
< 0.1%
97.2 1
 
< 0.1%
108.0 2
 
< 0.1%
117.0 1
 
< 0.1%
118.8 1
 
< 0.1%
120.0 1
 
< 0.1%
121.0 1
 
< 0.1%
123.2 1
 
< 0.1%
ValueCountFrequency (%)
4725.0 1
< 0.1%
4578.0 1
< 0.1%
4200.0 1
< 0.1%
3750.0 1
< 0.1%
3380.0 1
< 0.1%
3375.0 1
< 0.1%
3150.0 1
< 0.1%
2900.0 1
< 0.1%
2720.0 1
< 0.1%
2688.0 1
< 0.1%

3작기정식월
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)15.4%
Missing9948
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean5.4423077
Minimum2
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:38:33.144583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14.75
median5
Q37
95-th percentile9
Maximum9
Range7
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.7310709
Coefficient of variation (CV)0.31807663
Kurtosis-0.15386563
Mean5.4423077
Median Absolute Deviation (MAD)1
Skewness0.33694124
Sum283
Variance2.9966063
MonotonicityNot monotonic
2023-12-12T08:38:33.264915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 20
 
0.2%
7 9
 
0.1%
4 7
 
0.1%
3 4
 
< 0.1%
9 4
 
< 0.1%
6 4
 
< 0.1%
2 2
 
< 0.1%
8 2
 
< 0.1%
(Missing) 9948
99.5%
ValueCountFrequency (%)
2 2
 
< 0.1%
3 4
 
< 0.1%
4 7
 
0.1%
5 20
0.2%
6 4
 
< 0.1%
7 9
0.1%
8 2
 
< 0.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
9 4
 
< 0.1%
8 2
 
< 0.1%
7 9
0.1%
6 4
 
< 0.1%
5 20
0.2%
4 7
 
0.1%
3 4
 
< 0.1%
2 2
 
< 0.1%

3작기수확종료월
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)15.4%
Missing9948
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean5.4423077
Minimum2
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:38:33.419551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14.75
median5
Q37
95-th percentile9
Maximum9
Range7
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.7310709
Coefficient of variation (CV)0.31807663
Kurtosis-0.15386563
Mean5.4423077
Median Absolute Deviation (MAD)1
Skewness0.33694124
Sum283
Variance2.9966063
MonotonicityNot monotonic
2023-12-12T08:38:33.530334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 20
 
0.2%
7 9
 
0.1%
4 7
 
0.1%
3 4
 
< 0.1%
9 4
 
< 0.1%
6 4
 
< 0.1%
2 2
 
< 0.1%
8 2
 
< 0.1%
(Missing) 9948
99.5%
ValueCountFrequency (%)
2 2
 
< 0.1%
3 4
 
< 0.1%
4 7
 
0.1%
5 20
0.2%
6 4
 
< 0.1%
7 9
0.1%
8 2
 
< 0.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
9 4
 
< 0.1%
8 2
 
< 0.1%
7 9
0.1%
6 4
 
< 0.1%
5 20
0.2%
4 7
 
0.1%
3 4
 
< 0.1%
2 2
 
< 0.1%

3작기보험가액
Real number (ℝ)

ZEROS 

Distinct540
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean521788
Minimum0
Maximum42570000
Zeros8475
Zeros (%)84.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:38:33.703847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3802500
Maximum42570000
Range42570000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1907410.5
Coefficient of variation (CV)3.6555278
Kurtosis123.22622
Mean521788
Median Absolute Deviation (MAD)0
Skewness8.5786865
Sum5.21788 × 109
Variance3.6382149 × 1012
MonotonicityNot monotonic
2023-12-12T08:38:33.904010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8475
84.8%
3130000 25
 
0.2%
1020000 22
 
0.2%
1760000 21
 
0.2%
1670000 14
 
0.1%
1700000 14
 
0.1%
950000 14
 
0.1%
970000 14
 
0.1%
990000 13
 
0.1%
5300000 13
 
0.1%
Other values (530) 1375
 
13.8%
ValueCountFrequency (%)
0 8475
84.8%
190000 1
 
< 0.1%
220000 1
 
< 0.1%
240000 2
 
< 0.1%
280000 1
 
< 0.1%
320000 1
 
< 0.1%
330000 2
 
< 0.1%
340000 1
 
< 0.1%
350000 1
 
< 0.1%
360000 3
 
< 0.1%
ValueCountFrequency (%)
42570000 1
< 0.1%
41470000 1
< 0.1%
38640000 1
< 0.1%
34740000 1
< 0.1%
33750000 1
< 0.1%
31430000 1
< 0.1%
31380000 1
< 0.1%
29290000 1
< 0.1%
26020000 1
< 0.1%
25980000 1
< 0.1%

3작기보험가입비율
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
8475 
100
1525 

Length

Max length3
Median length1
Mean length1.305
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 8475
84.8%
100 1525
 
15.2%

Length

2023-12-12T08:38:34.086346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:38:34.187820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 8475
84.8%
100 1525
 
15.2%

4작기품목코드
Categorical

IMBALANCE 

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9318 
SPNCH
 
114
SPRON
 
86
WMLON
 
66
DAISY
 
54
Other values (15)
 
362

Length

Max length5
Median length4
Mean length4.0682
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9318
93.2%
SPNCH 114
 
1.1%
SPRON 86
 
0.9%
WMLON 66
 
0.7%
DAISY 54
 
0.5%
CABBA 47
 
0.5%
DAIKO 46
 
0.5%
PUMPK 41
 
0.4%
LETTC 41
 
0.4%
MELON 37
 
0.4%
Other values (10) 150
 
1.5%

Length

2023-12-12T08:38:34.312848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9318
93.2%
spnch 114
 
1.1%
spron 86
 
0.9%
wmlon 66
 
0.7%
daisy 54
 
0.5%
cabba 47
 
0.5%
daiko 46
 
0.5%
pumpk 41
 
0.4%
lettc 41
 
0.4%
melon 37
 
0.4%
Other values (10) 150
 
1.5%

4작기가입면적
Real number (ℝ)

ZEROS 

Distinct327
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.879581
Minimum0
Maximum4725
Zeros9318
Zeros (%)93.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:38:34.451844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile450
Maximum4725
Range4725
Interquartile range (IQR)0

Descriptive statistics

Standard deviation161.2492
Coefficient of variation (CV)4.3723164
Kurtosis173.9335
Mean36.879581
Median Absolute Deviation (MAD)0
Skewness9.0573187
Sum368795.81
Variance26001.304
MonotonicityNot monotonic
2023-12-12T08:38:34.584657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9318
93.2%
570.0 39
 
0.4%
551.0 18
 
0.2%
540.0 18
 
0.2%
513.0 13
 
0.1%
522.0 11
 
0.1%
600.0 11
 
0.1%
450.0 10
 
0.1%
541.5 10
 
0.1%
480.0 9
 
0.1%
Other values (317) 543
 
5.4%
ValueCountFrequency (%)
0.0 9318
93.2%
90.0 1
 
< 0.1%
92.8 1
 
< 0.1%
108.0 2
 
< 0.1%
117.0 1
 
< 0.1%
118.8 1
 
< 0.1%
121.0 1
 
< 0.1%
123.2 1
 
< 0.1%
132.0 1
 
< 0.1%
132.23 3
 
< 0.1%
ValueCountFrequency (%)
4725.0 1
< 0.1%
4578.0 1
< 0.1%
3380.0 1
< 0.1%
2688.0 1
< 0.1%
2046.0 1
< 0.1%
1950.0 1
< 0.1%
1680.0 1
< 0.1%
1453.5 1
< 0.1%
1420.0 2
< 0.1%
1400.0 1
< 0.1%

4작기정식월
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)29.6%
Missing9973
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean5.5185185
Minimum2
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:38:34.713868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.3
Q15
median5
Q37
95-th percentile8
Maximum9
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6021709
Coefficient of variation (CV)0.29032627
Kurtosis0.021393765
Mean5.5185185
Median Absolute Deviation (MAD)1
Skewness0.14561264
Sum149
Variance2.5669516
MonotonicityNot monotonic
2023-12-12T08:38:34.844816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 10
 
0.1%
7 5
 
0.1%
4 4
 
< 0.1%
6 3
 
< 0.1%
8 2
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
9 1
 
< 0.1%
(Missing) 9973
99.7%
ValueCountFrequency (%)
2 1
 
< 0.1%
3 1
 
< 0.1%
4 4
 
< 0.1%
5 10
0.1%
6 3
 
< 0.1%
7 5
0.1%
8 2
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 2
 
< 0.1%
7 5
0.1%
6 3
 
< 0.1%
5 10
0.1%
4 4
 
< 0.1%
3 1
 
< 0.1%
2 1
 
< 0.1%

4작기수확종료월
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)29.6%
Missing9973
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean5.5185185
Minimum2
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:38:34.966746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.3
Q15
median5
Q37
95-th percentile8
Maximum9
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6021709
Coefficient of variation (CV)0.29032627
Kurtosis0.021393765
Mean5.5185185
Median Absolute Deviation (MAD)1
Skewness0.14561264
Sum149
Variance2.5669516
MonotonicityNot monotonic
2023-12-12T08:38:35.094191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 10
 
0.1%
7 5
 
0.1%
4 4
 
< 0.1%
6 3
 
< 0.1%
8 2
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
9 1
 
< 0.1%
(Missing) 9973
99.7%
ValueCountFrequency (%)
2 1
 
< 0.1%
3 1
 
< 0.1%
4 4
 
< 0.1%
5 10
0.1%
6 3
 
< 0.1%
7 5
0.1%
8 2
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 2
 
< 0.1%
7 5
0.1%
6 3
 
< 0.1%
5 10
0.1%
4 4
 
< 0.1%
3 1
 
< 0.1%
2 1
 
< 0.1%

4작기보험가액
Real number (ℝ)

ZEROS 

Distinct320
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean205907
Minimum0
Maximum30420000
Zeros9318
Zeros (%)93.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:38:35.230957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1210000
Maximum30420000
Range30420000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1148366.5
Coefficient of variation (CV)5.5771125
Kurtosis185.02926
Mean205907
Median Absolute Deviation (MAD)0
Skewness11.089608
Sum2.05907 × 109
Variance1.3187456 × 1012
MonotonicityNot monotonic
2023-12-12T08:38:35.398335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9318
93.2%
1760000 15
 
0.1%
1350000 9
 
0.1%
1670000 9
 
0.1%
1420000 9
 
0.1%
1430000 8
 
0.1%
970000 8
 
0.1%
900000 8
 
0.1%
1120000 7
 
0.1%
990000 7
 
0.1%
Other values (310) 602
 
6.0%
ValueCountFrequency (%)
0 9318
93.2%
160000 1
 
< 0.1%
190000 1
 
< 0.1%
230000 1
 
< 0.1%
300000 1
 
< 0.1%
350000 1
 
< 0.1%
360000 1
 
< 0.1%
370000 1
 
< 0.1%
390000 1
 
< 0.1%
400000 1
 
< 0.1%
ValueCountFrequency (%)
30420000 1
< 0.1%
27880000 1
< 0.1%
25170000 1
< 0.1%
24020000 1
< 0.1%
21150000 2
< 0.1%
19020000 1
< 0.1%
16440000 1
< 0.1%
15610000 1
< 0.1%
15120000 1
< 0.1%
14430000 1
< 0.1%

4작기보험가입비율
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9318 
100
 
682

Length

Max length3
Median length1
Mean length1.1364
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 9318
93.2%
100 682
 
6.8%

Length

2023-12-12T08:38:35.553847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:38:35.683344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9318
93.2%
100 682
 
6.8%

5작기품목코드
Categorical

IMBALANCE 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9752 
SPNCH
 
31
WMLON
 
30
SMAON
 
28
CABBA
 
28
Other values (14)
 
131

Length

Max length5
Median length4
Mean length4.0248
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9752
97.5%
SPNCH 31
 
0.3%
WMLON 30
 
0.3%
SMAON 28
 
0.3%
CABBA 28
 
0.3%
SPRON 24
 
0.2%
DAISY 23
 
0.2%
LETTC 17
 
0.2%
DAIKO 14
 
0.1%
TMATO 10
 
0.1%
Other values (9) 43
 
0.4%

Length

2023-12-12T08:38:35.817610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9752
97.5%
spnch 31
 
0.3%
wmlon 30
 
0.3%
smaon 28
 
0.3%
cabba 28
 
0.3%
spron 24
 
0.2%
daisy 23
 
0.2%
lettc 17
 
0.2%
daiko 14
 
0.1%
pumpk 10
 
0.1%
Other values (9) 43
 
0.4%

5작기가입면적
Real number (ℝ)

ZEROS 

Distinct144
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.85187
Minimum0
Maximum2688
Zeros9752
Zeros (%)97.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:38:35.956611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2688
Range2688
Interquartile range (IQR)0

Descriptive statistics

Standard deviation86.648881
Coefficient of variation (CV)6.7421224
Kurtosis130.6748
Mean12.85187
Median Absolute Deviation (MAD)0
Skewness8.8587704
Sum128518.7
Variance7508.0285
MonotonicityNot monotonic
2023-12-12T08:38:36.116876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9752
97.5%
570.0 21
 
0.2%
513.0 9
 
0.1%
541.5 6
 
0.1%
522.0 6
 
0.1%
540.0 5
 
0.1%
504.0 5
 
0.1%
480.0 5
 
0.1%
600.0 5
 
0.1%
450.0 5
 
0.1%
Other values (134) 181
 
1.8%
ValueCountFrequency (%)
0.0 9752
97.5%
108.0 1
 
< 0.1%
117.0 1
 
< 0.1%
156.0 2
 
< 0.1%
196.0 1
 
< 0.1%
198.0 1
 
< 0.1%
198.4 2
 
< 0.1%
218.4 1
 
< 0.1%
222.0 1
 
< 0.1%
232.0 1
 
< 0.1%
ValueCountFrequency (%)
2688.0 1
< 0.1%
1200.0 1
< 0.1%
1092.0 1
< 0.1%
892.5 1
< 0.1%
880.0 1
< 0.1%
860.0 1
< 0.1%
844.6 1
< 0.1%
841.0 1
< 0.1%
836.6 1
< 0.1%
787.2 1
< 0.1%

5작기정식월
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9999 
4
 
1

Length

Max length4
Median length4
Mean length3.9997
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9999
> 99.9%
4 1
 
< 0.1%

Length

2023-12-12T08:38:36.673889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:38:36.777103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9999
> 99.9%
4 1
 
< 0.1%

5작기수확종료월
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9999 
4
 
1

Length

Max length4
Median length4
Mean length3.9997
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9999
> 99.9%
4 1
 
< 0.1%

Length

2023-12-12T08:38:36.892732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:38:37.005370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9999
> 99.9%
4 1
 
< 0.1%

5작기보험가액
Real number (ℝ)

ZEROS 

Distinct160
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64582
Minimum0
Maximum12490000
Zeros9752
Zeros (%)97.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:38:37.111379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12490000
Range12490000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation528313.99
Coefficient of variation (CV)8.1805146
Kurtosis165.60368
Mean64582
Median Absolute Deviation (MAD)0
Skewness11.663854
Sum6.4582 × 108
Variance2.7911568 × 1011
MonotonicityNot monotonic
2023-12-12T08:38:37.278182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9752
97.5%
1480000 9
 
0.1%
1670000 8
 
0.1%
1590000 7
 
0.1%
3130000 4
 
< 0.1%
5740000 4
 
< 0.1%
1450000 4
 
< 0.1%
1350000 4
 
< 0.1%
1500000 4
 
< 0.1%
1610000 3
 
< 0.1%
Other values (150) 201
 
2.0%
ValueCountFrequency (%)
0 9752
97.5%
210000 1
 
< 0.1%
270000 1
 
< 0.1%
350000 1
 
< 0.1%
410000 1
 
< 0.1%
420000 1
 
< 0.1%
480000 1
 
< 0.1%
490000 1
 
< 0.1%
500000 2
 
< 0.1%
510000 1
 
< 0.1%
ValueCountFrequency (%)
12490000 1
 
< 0.1%
10430000 1
 
< 0.1%
10000000 1
 
< 0.1%
9680000 1
 
< 0.1%
8940000 1
 
< 0.1%
8600000 1
 
< 0.1%
8230000 1
 
< 0.1%
8180000 1
 
< 0.1%
8150000 3
< 0.1%
7890000 1
 
< 0.1%

5작기보험가입비율
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9752 
100
 
248

Length

Max length3
Median length1
Mean length1.0496
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 9752
97.5%
100 248
 
2.5%

Length

2023-12-12T08:38:37.456019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:38:37.560351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9752
97.5%
100 248
 
2.5%

Sample

기준년도1작기품목코드1작기가입면적1작기정식월1작기수확종료월1작기보험가액1작기보험가입비율2작기품목코드2작기가입면적2작기정식월2작기수확종료월2작기보험가액2작기보험가입비율3작기품목코드3작기가입면적3작기정식월3작기수확종료월3작기보험가액3작기보험가입비율4작기품목코드4작기가입면적4작기정식월4작기수확종료월4작기보험가액4작기보험가입비율5작기품목코드5작기가입면적5작기정식월5작기수확종료월5작기보험가액5작기보험가입비율
642082022WMLON478.33<NA><NA>2630000100SPNCH478.33<NA><NA>860000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00
173662022STRBR765.0<NA><NA>13230000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00
251142022ORMEL313.2<NA><NA>2310000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00
332592022WMLON558.0<NA><NA>3060000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00
228012022WMLON700.0<NA><NA>3850000100MELON700.0<NA><NA>6300000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00
195722022WMLON659.6<NA><NA>3620000100LETTC659.6<NA><NA>3620000100SPNCH659.6<NA><NA>1180000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00
17002022WMLON610.0<NA><NA>3350000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00
726572022WMLON330.0<NA><NA>1810000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00
426652022TMATO508.4<NA><NA>7270000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00
135192022STRBR900.0<NA><NA>15570000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00
기준년도1작기품목코드1작기가입면적1작기정식월1작기수확종료월1작기보험가액1작기보험가입비율2작기품목코드2작기가입면적2작기정식월2작기수확종료월2작기보험가액2작기보험가입비율3작기품목코드3작기가입면적3작기정식월3작기수확종료월3작기보험가액3작기보험가입비율4작기품목코드4작기가입면적4작기정식월4작기수확종료월4작기보험가액4작기보험가입비율5작기품목코드5작기가입면적5작기정식월5작기수확종료월5작기보험가액5작기보험가입비율
526422022ORMEL445.5<NA><NA>3290000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00
763942022LETTC608.0<NA><NA>3340000100WMLON608.0<NA><NA>3340000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00
61592022STRBR390.0<NA><NA>6740000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00
393912022LETTC608.0<NA><NA>3340000100WMLON608.0<NA><NA>3340000100TMATO608.0<NA><NA>8690000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00
135072022STRBR462.0<NA><NA>7990000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00
72072022MELON588.0<NA><NA>5290000100WMLON588.0<NA><NA>3230000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00
136962022CHILI280.0<NA><NA>2570000100DAIKO280.0<NA><NA>890000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00
217602022ORMEL550.0<NA><NA>4070000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00
583792022DAIKO616.2<NA><NA>1970000100WMLON616.2<NA><NA>3380000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00
37492022WMLON643.2<NA><NA>3530000100MELON643.2<NA><NA>5780000100PUMPK643.2<NA><NA>5980000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00

Duplicate rows

Most frequently occurring

기준년도1작기품목코드1작기가입면적1작기정식월1작기수확종료월1작기보험가액1작기보험가입비율2작기품목코드2작기가입면적2작기정식월2작기수확종료월2작기보험가액2작기보험가입비율3작기품목코드3작기가입면적3작기정식월3작기수확종료월3작기보험가액3작기보험가입비율4작기품목코드4작기가입면적4작기정식월4작기수확종료월4작기보험가액4작기보험가입비율5작기품목코드5작기가입면적5작기정식월5작기수확종료월5작기보험가액5작기보험가입비율# duplicates
14182022WMLON700.0<NA><NA>3850000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>0047
13682022WMLON600.0<NA><NA>3300000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>0045
6742022ORMEL560.0<NA><NA>4140000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>0040
13282022WMLON570.0<NA><NA>3130000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>0035
6832022ORMEL570.0<NA><NA>4210000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>0033
14002022WMLON650.0<NA><NA>3570000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>0033
10282022STRBR850.0<NA><NA>14700000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>0032
13752022WMLON608.0<NA><NA>3340000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>0030
6552022ORMEL540.0<NA><NA>3990000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>0029
6212022ORMEL504.0<NA><NA>3720000100<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>00<NA>0.0<NA><NA>0027