Overview

Dataset statistics

Number of variables22
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows15
Duplicate rows (%)0.1%
Total size in memory1.9 MiB
Average record size in memory201.0 B

Variable types

Categorical9
Text1
Numeric11
DateTime1

Dataset

Description현재 농작물재해보험에 계약된 밭작물 연도별, 품목별,품종별, 주간거리별, 재배방법별, 보험가입면적, 재식방법별 현황
Author농업정책보험금융원
URLhttps://www.data.go.kr/data/15090468/fileData.do

Alerts

기준년도 has constant value ""Constant
보험가입금액 has constant value ""Constant
총보험료 has constant value ""Constant
자기부담율 has constant value ""Constant
추기작여부 has constant value ""Constant
Dataset has 15 (0.1%) duplicate rowsDuplicates
재배방법구분코드명 is highly imbalanced (56.1%)Imbalance
가을전정여부 is highly imbalanced (98.2%)Imbalance
이랑수 is highly skewed (γ1 = 39.35611399)Skewed
총재식주수 is highly skewed (γ1 = 47.64623708)Skewed
신고재식주수 is highly skewed (γ1 = 44.14253181)Skewed
주간거리 has 4868 (48.7%) zerosZeros
재식간격 has 4868 (48.7%) zerosZeros
이랑너비 has 4860 (48.6%) zerosZeros
이랑수 has 5488 (54.9%) zerosZeros
총재식주수 has 4868 (48.7%) zerosZeros
신고재식주수 has 9994 (99.9%) zerosZeros
수령 has 7531 (75.3%) zerosZeros

Reproduction

Analysis started2023-12-12 16:36:08.998383
Analysis finished2023-12-12 16:36:09.521729
Duration0.52 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

2023-12-13T01:36:09.575507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:36:09.653798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 10000
100.0%

품목명
Categorical

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
콩
3019 
고추
2542 
마늘
1142 
양파
759 
월동무
650 
Other values (26)
1888 

Length

Max length10
Median length9
Mean length2.1335
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row고추
2nd row마늘
3rd row고추
4th row마늘
5th row콩

Common Values

ValueCountFrequency (%)
콩 3019
30.2%
고추 2542
25.4%
마늘 1142
 
11.4%
양파 759
 
7.6%
월동무 650
 
6.5%
가을배추 289
 
2.9%
당근 181
 
1.8%
월동배추 178
 
1.8%
양배추 142
 
1.4%
대파 142
 
1.4%
Other values (21) 956
 
9.6%

Length

2023-12-13T01:36:09.743773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
콩 3019
30.2%
고추 2542
25.4%
마늘 1142
 
11.4%
양파 759
 
7.6%
월동무 650
 
6.5%
가을배추 289
 
2.9%
당근 181
 
1.8%
월동배추 178
 
1.8%
양배추 142
 
1.4%
대파 142
 
1.4%
Other values (21) 956
 
9.6%

품종명
Text

Distinct92
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T01:36:09.945499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length3.6288
Min length1

Characters and Unicode

Total characters36288
Distinct characters150
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)0.2%

Sample

1st row홍고추
2nd row남도
3rd row홍고추
4th row대서
5th row청자콩(속청 서리태 포함)
ValueCountFrequency (%)
홍고추 2542
23.5%
대서 889
 
8.2%
대원콩 799
 
7.4%
월동무 650
 
6.0%
선풍 642
 
5.9%
대찬콩 482
 
4.5%
중·만생기타 481
 
4.4%
포함 413
 
3.8%
청자콩(속청 402
 
3.7%
서리태 402
 
3.7%
Other values (84) 3113
28.8%
2023-12-13T01:36:10.341737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
추 2569
 
7.1%
고 2563
 
7.1%
홍 2556
 
7.0%
대 2418
 
6.7%
콩 2177
 
6.0%
서 1291
 
3.6%
타 1090
 
3.0%
기 1060
 
2.9%
풍 1032
 
2.8%
청 915
 
2.5%
Other values (140) 18617
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33712
92.9%
Space Separator 815
 
2.2%
Close Punctuation 590
 
1.6%
Open Punctuation 590
 
1.6%
Other Punctuation 481
 
1.3%
Decimal Number 84
 
0.2%
Lowercase Letter 6
 
< 0.1%
Dash Punctuation 6
 
< 0.1%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
추 2569
 
7.6%
고 2563
 
7.6%
홍 2556
 
7.6%
대 2418
 
7.2%
콩 2177
 
6.5%
서 1291
 
3.8%
타 1090
 
3.2%
기 1060
 
3.1%
풍 1032
 
3.1%
청 915
 
2.7%
Other values (128) 16041
47.6%
Decimal Number
ValueCountFrequency (%)
2 79
94.0%
3 2
 
2.4%
1 2
 
2.4%
0 1
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
R 2
50.0%
Y 2
50.0%
Space Separator
ValueCountFrequency (%)
815
100.0%
Close Punctuation
ValueCountFrequency (%)
) 590
100.0%
Open Punctuation
ValueCountFrequency (%)
( 590
100.0%
Other Punctuation
ValueCountFrequency (%)
· 481
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33712
92.9%
Common 2566
 
7.1%
Latin 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
추 2569
 
7.6%
고 2563
 
7.6%
홍 2556
 
7.6%
대 2418
 
7.2%
콩 2177
 
6.5%
서 1291
 
3.8%
타 1090
 
3.2%
기 1060
 
3.1%
풍 1032
 
3.1%
청 915
 
2.7%
Other values (128) 16041
47.6%
Common
ValueCountFrequency (%)
815
31.8%
) 590
23.0%
( 590
23.0%
· 481
18.7%
2 79
 
3.1%
- 6
 
0.2%
3 2
 
0.1%
1 2
 
0.1%
0 1
 
< 0.1%
Latin
ValueCountFrequency (%)
e 6
60.0%
R 2
 
20.0%
Y 2
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33712
92.9%
ASCII 2095
 
5.8%
None 481
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
추 2569
 
7.6%
고 2563
 
7.6%
홍 2556
 
7.6%
대 2418
 
7.2%
콩 2177
 
6.5%
서 1291
 
3.8%
타 1090
 
3.2%
기 1060
 
3.1%
풍 1032
 
3.1%
청 915
 
2.7%
Other values (128) 16041
47.6%
ASCII
ValueCountFrequency (%)
815
38.9%
) 590
28.2%
( 590
28.2%
2 79
 
3.8%
e 6
 
0.3%
- 6
 
0.3%
3 2
 
0.1%
R 2
 
0.1%
Y 2
 
0.1%
1 2
 
0.1%
None
ValueCountFrequency (%)
· 481
100.0%

주간거리
Real number (ℝ)

ZEROS 

Distinct82
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.87819
Minimum0
Maximum240
Zeros4868
Zeros (%)48.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:36:10.492332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q330
95-th percentile45
Maximum240
Range240
Interquartile range (IQR)30

Descriptive statistics

Standard deviation18.313408
Coefficient of variation (CV)1.2308895
Kurtosis9.3365598
Mean14.87819
Median Absolute Deviation (MAD)10
Skewness1.7869555
Sum148781.9
Variance335.38091
MonotonicityNot monotonic
2023-12-13T01:36:10.628284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4868
48.7%
40.0 691
 
6.9%
30.0 577
 
5.8%
35.0 509
 
5.1%
20.0 484
 
4.8%
10.0 297
 
3.0%
45.0 270
 
2.7%
50.0 260
 
2.6%
12.0 258
 
2.6%
25.0 176
 
1.8%
Other values (72) 1610
 
16.1%
ValueCountFrequency (%)
0.0 4868
48.7%
4.0 4
 
< 0.1%
5.0 4
 
< 0.1%
7.0 5
 
0.1%
8.0 13
 
0.1%
9.0 11
 
0.1%
9.5 2
 
< 0.1%
10.0 297
 
3.0%
10.4 2
 
< 0.1%
10.5 40
 
0.4%
ValueCountFrequency (%)
240.0 1
 
< 0.1%
180.0 2
 
< 0.1%
175.0 1
 
< 0.1%
170.0 6
0.1%
165.0 3
< 0.1%
160.0 1
 
< 0.1%
150.0 2
 
< 0.1%
140.0 1
 
< 0.1%
130.0 2
 
< 0.1%
120.0 2
 
< 0.1%

재식간격
Real number (ℝ)

ZEROS 

Distinct412
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1939.5142
Minimum0
Maximum13200
Zeros4868
Zeros (%)48.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:36:10.761136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1400
Q33600
95-th percentile6000
Maximum13200
Range13200
Interquartile range (IQR)3600

Descriptive statistics

Standard deviation2274.9954
Coefficient of variation (CV)1.1729718
Kurtosis0.67704673
Mean1939.5142
Median Absolute Deviation (MAD)1400
Skewness1.0094334
Sum19395142
Variance5175603.9
MonotonicityNot monotonic
2023-12-13T01:36:10.911118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4868
48.7%
3600.0 277
 
2.8%
4000.0 253
 
2.5%
4200.0 241
 
2.4%
3000.0 215
 
2.1%
3300.0 182
 
1.8%
4800.0 134
 
1.3%
3850.0 105
 
1.1%
3500.0 104
 
1.0%
4400.0 103
 
1.0%
Other values (402) 3518
35.2%
ValueCountFrequency (%)
0.0 4868
48.7%
20.0 4
 
< 0.1%
105.0 1
 
< 0.1%
144.0 2
 
< 0.1%
156.0 1
 
< 0.1%
180.0 1
 
< 0.1%
195.0 1
 
< 0.1%
210.0 1
 
< 0.1%
375.0 1
 
< 0.1%
390.0 1
 
< 0.1%
ValueCountFrequency (%)
13200.0 1
 
< 0.1%
12600.0 1
 
< 0.1%
12500.0 2
 
< 0.1%
12100.0 1
 
< 0.1%
12000.0 2
 
< 0.1%
11550.0 1
 
< 0.1%
11500.0 5
 
0.1%
11000.0 13
0.1%
10560.0 1
 
< 0.1%
10500.0 19
0.2%

이랑너비
Real number (ℝ)

ZEROS 

Distinct124
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.8289
Minimum0
Maximum500
Zeros4860
Zeros (%)48.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:36:11.103698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median60
Q3140
95-th percentile200
Maximum500
Range500
Interquartile range (IQR)140

Descriptive statistics

Standard deviation82.803163
Coefficient of variation (CV)1.1215549
Kurtosis0.50153655
Mean73.8289
Median Absolute Deviation (MAD)60
Skewness0.85964002
Sum738289
Variance6856.3639
MonotonicityNot monotonic
2023-12-13T01:36:11.271498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4860
48.6%
120 613
 
6.1%
110 456
 
4.6%
100 447
 
4.5%
180 387
 
3.9%
140 292
 
2.9%
150 285
 
2.9%
170 273
 
2.7%
130 242
 
2.4%
160 222
 
2.2%
Other values (114) 1923
 
19.2%
ValueCountFrequency (%)
0 4860
48.6%
5 4
 
< 0.1%
10 2
 
< 0.1%
12 4
 
< 0.1%
13 5
 
0.1%
15 5
 
0.1%
17 1
 
< 0.1%
18 2
 
< 0.1%
20 1
 
< 0.1%
21 2
 
< 0.1%
ValueCountFrequency (%)
500 1
 
< 0.1%
470 3
 
< 0.1%
440 1
 
< 0.1%
430 3
 
< 0.1%
420 7
 
0.1%
410 8
 
0.1%
400 20
0.2%
390 4
 
< 0.1%
380 5
 
0.1%
375 4
 
< 0.1%

이랑수
Real number (ℝ)

SKEWED  ZEROS 

Distinct142
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.8998
Minimum0
Maximum5200
Zeros5488
Zeros (%)54.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:36:11.434630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q314
95-th percentile44
Maximum5200
Range5200
Interquartile range (IQR)14

Descriptive statistics

Standard deviation105.11346
Coefficient of variation (CV)8.1484569
Kurtosis1668.4742
Mean12.8998
Median Absolute Deviation (MAD)0
Skewness39.356114
Sum128998
Variance11048.84
MonotonicityNot monotonic
2023-12-13T01:36:11.599876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5488
54.9%
8 468
 
4.7%
6 335
 
3.4%
13 271
 
2.7%
12 259
 
2.6%
18 221
 
2.2%
10 217
 
2.2%
14 206
 
2.1%
15 166
 
1.7%
7 153
 
1.5%
Other values (132) 2216
22.2%
ValueCountFrequency (%)
0 5488
54.9%
1 3
 
< 0.1%
2 1
 
< 0.1%
3 2
 
< 0.1%
4 26
 
0.3%
5 18
 
0.2%
6 335
 
3.4%
7 153
 
1.5%
8 468
 
4.7%
9 74
 
0.7%
ValueCountFrequency (%)
5200 1
< 0.1%
4659 1
< 0.1%
4500 1
< 0.1%
4000 1
< 0.1%
3500 1
< 0.1%
2280 1
< 0.1%
2000 1
< 0.1%
1000 1
< 0.1%
700 1
< 0.1%
227 1
< 0.1%

총재식주수
Real number (ℝ)

SKEWED  ZEROS 

Distinct2465
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12660.145
Minimum0
Maximum7000000
Zeros4868
Zeros (%)48.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:36:11.766721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1367.5
Q37143
95-th percentile41216.7
Maximum7000000
Range7000000
Interquartile range (IQR)7143

Descriptive statistics

Standard deviation142135.45
Coefficient of variation (CV)11.227
Kurtosis2335.404
Mean12660.145
Median Absolute Deviation (MAD)1367.5
Skewness47.646237
Sum1.2660145 × 108
Variance2.0202485 × 1010
MonotonicityNot monotonic
2023-12-13T01:36:11.924580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4868
48.7%
39216 90
 
0.9%
32500 65
 
0.7%
3333 64
 
0.6%
30312 59
 
0.6%
42858 58
 
0.6%
3030 54
 
0.5%
5000 49
 
0.5%
30000 45
 
0.4%
32680 41
 
0.4%
Other values (2455) 4607
46.1%
ValueCountFrequency (%)
0 4868
48.7%
63 1
 
< 0.1%
121 1
 
< 0.1%
198 1
 
< 0.1%
283 1
 
< 0.1%
297 1
 
< 0.1%
329 1
 
< 0.1%
370 1
 
< 0.1%
383 1
 
< 0.1%
398 1
 
< 0.1%
ValueCountFrequency (%)
7000000 4
< 0.1%
972216 2
< 0.1%
820512 1
 
< 0.1%
641030 1
 
< 0.1%
615384 1
 
< 0.1%
571428 1
 
< 0.1%
452390 1
 
< 0.1%
444448 1
 
< 0.1%
240000 1
 
< 0.1%
187506 2
< 0.1%

정식일자
Date

Distinct259
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-03-01 00:00:00
Maximum2022-11-25 00:00:00
2023-12-13T01:36:12.095126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:36:12.276507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

재식방법구분코드명
Categorical

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
4215 
휴립 점파 / 줄뿌림
2258 
1줄
2002 
2줄
540 
산파 후 복토
440 
Other values (5)
545 

Length

Max length11
Median length7
Mean length5.512
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1줄
2nd row<NA>
3rd row1줄
4th row<NA>
5th row휴립 점파 / 줄뿌림

Common Values

ValueCountFrequency (%)
<NA> 4215
42.1%
휴립 점파 / 줄뿌림 2258
22.6%
1줄 2002
20.0%
2줄 540
 
5.4%
산파 후 복토 440
 
4.4%
평면 점파 / 줄뿌림 405
 
4.0%
육묘 후 정식 103
 
1.0%
직파 33
 
0.3%
휴립점파 3
 
< 0.1%
평휴점파 1
 
< 0.1%

Length

2023-12-13T01:36:12.452478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:36:12.603133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4215
22.1%
점파 2663
14.0%
2663
14.0%
줄뿌림 2663
14.0%
휴립 2258
11.8%
1줄 2002
10.5%
후 543
 
2.8%
2줄 540
 
2.8%
산파 440
 
2.3%
복토 440
 
2.3%
Other values (6) 648
 
3.4%

재배방법구분코드명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7318 
노지재배
1945 
터널재배
 
597
2주
 
74
1주
 
62

Length

Max length4
Median length4
Mean length3.9716
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7318
73.2%
노지재배 1945
 
19.4%
터널재배 597
 
6.0%
2주 74
 
0.7%
1주 62
 
0.6%
밭 4
 
< 0.1%

Length

2023-12-13T01:36:12.769563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:36:12.913986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7318
73.2%
노지재배 1945
 
19.4%
터널재배 597
 
6.0%
2주 74
 
0.7%
1주 62
 
0.6%
밭 4
 
< 0.1%

표준수확량
Real number (ℝ)

Distinct3529
Distinct (%)35.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4029.1295
Minimum51
Maximum249740
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:36:13.063656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51
5-th percentile374
Q11087
median2300
Q33081
95-th percentile16692.6
Maximum249740
Range249689
Interquartile range (IQR)1994

Descriptive statistics

Standard deviation8125.7176
Coefficient of variation (CV)2.0167427
Kurtosis185.93796
Mean4029.1295
Median Absolute Deviation (MAD)1000
Skewness9.8756725
Sum40291295
Variance66027287
MonotonicityNot monotonic
2023-12-13T01:36:13.237841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2742 1336
 
13.4%
1400 650
 
6.5%
2796 495
 
5.0%
3117 436
 
4.4%
1900 290
 
2.9%
2400 181
 
1.8%
1300 179
 
1.8%
2200 162
 
1.6%
3081 138
 
1.4%
2601 119
 
1.2%
Other values (3519) 6014
60.1%
ValueCountFrequency (%)
51 1
< 0.1%
62 1
< 0.1%
69 1
< 0.1%
72 1
< 0.1%
80 1
< 0.1%
91 1
< 0.1%
97 1
< 0.1%
108 1
< 0.1%
109 1
< 0.1%
112 1
< 0.1%
ValueCountFrequency (%)
249740 1
< 0.1%
203950 1
< 0.1%
160573 1
< 0.1%
151132 1
< 0.1%
149050 1
< 0.1%
144144 1
< 0.1%
125809 1
< 0.1%
120216 1
< 0.1%
95814 1
< 0.1%
88320 1
< 0.1%

평년수확량
Real number (ℝ)

Distinct3977
Distinct (%)39.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3953.4149
Minimum51
Maximum242974
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:36:13.410140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51
5-th percentile356
Q1920
median1963
Q33067
95-th percentile16681.3
Maximum242974
Range242923
Interquartile range (IQR)2147

Descriptive statistics

Standard deviation8111.749
Coefficient of variation (CV)2.0518335
Kurtosis182.01042
Mean3953.4149
Median Absolute Deviation (MAD)1058
Skewness9.8255062
Sum39534149
Variance65800472
MonotonicityNot monotonic
2023-12-13T01:36:13.599871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2742 556
 
5.6%
2799 281
 
2.8%
1900 278
 
2.8%
560 205
 
2.1%
3117 188
 
1.9%
2796 168
 
1.7%
1400 98
 
1.0%
1496 79
 
0.8%
960 76
 
0.8%
1300 69
 
0.7%
Other values (3967) 8002
80.0%
ValueCountFrequency (%)
51 1
< 0.1%
62 2
< 0.1%
72 1
< 0.1%
82 1
< 0.1%
91 1
< 0.1%
97 1
< 0.1%
104 2
< 0.1%
110 1
< 0.1%
116 1
< 0.1%
121 1
< 0.1%
ValueCountFrequency (%)
242974 1
< 0.1%
203952 1
< 0.1%
160575 1
< 0.1%
158272 1
< 0.1%
154155 1
< 0.1%
144146 1
< 0.1%
125809 1
< 0.1%
120216 1
< 0.1%
88321 1
< 0.1%
88232 1
< 0.1%

가입수확량
Real number (ℝ)

Distinct3977
Distinct (%)39.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3953.4301
Minimum51
Maximum242974
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:36:13.767677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51
5-th percentile356
Q1920
median1963
Q33067
95-th percentile16681.3
Maximum242974
Range242923
Interquartile range (IQR)2147

Descriptive statistics

Standard deviation8111.8377
Coefficient of variation (CV)2.051848
Kurtosis182.00226
Mean3953.4301
Median Absolute Deviation (MAD)1058
Skewness9.8251837
Sum39534301
Variance65801911
MonotonicityNot monotonic
2023-12-13T01:36:14.277649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2742 556
 
5.6%
2799 281
 
2.8%
1900 278
 
2.8%
560 206
 
2.1%
3117 188
 
1.9%
2796 168
 
1.7%
1400 98
 
1.0%
1496 79
 
0.8%
960 76
 
0.8%
1300 69
 
0.7%
Other values (3967) 8001
80.0%
ValueCountFrequency (%)
51 1
< 0.1%
62 2
< 0.1%
72 1
< 0.1%
82 1
< 0.1%
91 1
< 0.1%
97 1
< 0.1%
104 2
< 0.1%
106 1
< 0.1%
110 1
< 0.1%
116 1
< 0.1%
ValueCountFrequency (%)
242974 1
< 0.1%
203952 1
< 0.1%
160575 1
< 0.1%
158272 1
< 0.1%
154155 1
< 0.1%
144146 1
< 0.1%
125809 1
< 0.1%
120216 1
< 0.1%
88321 1
< 0.1%
88232 1
< 0.1%

보험가입면적
Real number (ℝ)

Distinct4016
Distinct (%)40.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2800.7533
Minimum20
Maximum89467
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:36:14.466909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile749
Q11322
median2096
Q33400
95-th percentile6764.05
Maximum89467
Range89447
Interquartile range (IQR)2078

Descriptive statistics

Standard deviation2851.0005
Coefficient of variation (CV)1.0179406
Kurtosis141.32893
Mean2800.7533
Median Absolute Deviation (MAD)924
Skewness7.8593658
Sum28007533
Variance8128203.7
MonotonicityNot monotonic
2023-12-13T01:36:14.646891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000.0 106
 
1.1%
1320.0 77
 
0.8%
1650.0 76
 
0.8%
2000.0 74
 
0.7%
3300.0 70
 
0.7%
1980.0 61
 
0.6%
3000.0 51
 
0.5%
4000.0 48
 
0.5%
2640.0 47
 
0.5%
800.0 44
 
0.4%
Other values (4006) 9346
93.5%
ValueCountFrequency (%)
20.0 1
< 0.1%
52.0 1
< 0.1%
68.0 1
< 0.1%
79.0 1
< 0.1%
95.0 1
< 0.1%
109.0 1
< 0.1%
126.0 1
< 0.1%
150.0 1
< 0.1%
153.0 1
< 0.1%
158.0 1
< 0.1%
ValueCountFrequency (%)
89467.0 1
< 0.1%
64005.0 1
< 0.1%
49537.0 1
< 0.1%
46516.0 1
< 0.1%
41323.0 1
< 0.1%
37853.0 1
< 0.1%
35640.0 1
< 0.1%
34211.0 1
< 0.1%
33835.0 1
< 0.1%
33000.0 1
< 0.1%

보험가입금액
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2023-12-13T01:36:14.805681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:36:14.908704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

총보험료
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2023-12-13T01:36:15.025014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:36:15.127727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

자기부담율
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2023-12-13T01:36:15.267386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:36:15.358999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

추기작여부
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2023-12-13T01:36:15.457991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:36:15.562081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

가을전정여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9983 
1
 
17

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 9983
99.8%
1 17
 
0.2%

Length

2023-12-13T01:36:15.684009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:36:15.791058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9983
99.8%
1 17
 
0.2%

신고재식주수
Real number (ℝ)

SKEWED  ZEROS 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.414
Minimum0
Maximum10000
Zeros9994
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:36:15.909178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10000
Range10000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation184.96891
Coefficient of variation (CV)41.905055
Kurtosis2041.4858
Mean4.414
Median Absolute Deviation (MAD)0
Skewness44.142532
Sum44140
Variance34213.498
MonotonicityNot monotonic
2023-12-13T01:36:16.032304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 9994
99.9%
10000 1
 
< 0.1%
6000 1
 
< 0.1%
5840 1
 
< 0.1%
9500 1
 
< 0.1%
6500 1
 
< 0.1%
6300 1
 
< 0.1%
ValueCountFrequency (%)
0 9994
99.9%
5840 1
 
< 0.1%
6000 1
 
< 0.1%
6300 1
 
< 0.1%
6500 1
 
< 0.1%
9500 1
 
< 0.1%
10000 1
 
< 0.1%
ValueCountFrequency (%)
10000 1
 
< 0.1%
9500 1
 
< 0.1%
6500 1
 
< 0.1%
6300 1
 
< 0.1%
6000 1
 
< 0.1%
5840 1
 
< 0.1%
0 9994
99.9%

수령
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4615
Minimum0
Maximum47
Zeros7531
Zeros (%)75.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:36:16.161514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum47
Range47
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.5730115
Coefficient of variation (CV)3.4084756
Kurtosis355.43308
Mean0.4615
Median Absolute Deviation (MAD)0
Skewness15.537757
Sum4615
Variance2.4743652
MonotonicityNot monotonic
2023-12-13T01:36:16.274541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 7531
75.3%
1 1459
 
14.6%
2 585
 
5.9%
3 274
 
2.7%
4 98
 
1.0%
5 14
 
0.1%
6 7
 
0.1%
7 6
 
0.1%
8 3
 
< 0.1%
20 2
 
< 0.1%
Other values (16) 21
 
0.2%
ValueCountFrequency (%)
0 7531
75.3%
1 1459
 
14.6%
2 585
 
5.9%
3 274
 
2.7%
4 98
 
1.0%
5 14
 
0.1%
6 7
 
0.1%
7 6
 
0.1%
8 3
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
47 2
< 0.1%
46 1
< 0.1%
35 1
< 0.1%
34 1
< 0.1%
31 1
< 0.1%
30 2
< 0.1%
28 1
< 0.1%
27 1
< 0.1%
25 2
< 0.1%
24 2
< 0.1%

Sample

기준년도품목명품종명주간거리재식간격이랑너비이랑수총재식주수정식일자재식방법구분코드명재배방법구분코드명표준수확량평년수확량가입수확량보험가입면적보험가입금액총보험료자기부담율추기작여부가을전정여부신고재식주수수령
484672022고추홍고추40.06000.01503088822022-05-011줄노지재배2796279627965329.00000000
522892022마늘남도12.01800.015012666722022-10-08<NA><NA>3259325932592157.00000000
844222022고추홍고추36.04320.01202718522022-04-301줄노지재배274228942894800.00000000
356522022마늘대서11.01540.01406389642022-10-20<NA><NA>140413211321605.00000000
392742022콩청자콩(속청 서리태 포함)0.00.00002022-06-20휴립 점파 / 줄뿌림<NA>144147147672.00000000
171162022마늘대서14.02520.01808317442022-09-30<NA><NA>24796247962479610688.00000000
544312022고추홍고추40.04000.01005552952022-04-281줄노지재배2742274227422118.00000000
616172022콩대원콩0.00.00002022-06-20휴립 점파 / 줄뿌림<NA>6986436432274.00000000
267392022콩기타(나물용)0.00.00002022-06-18산파 후 복토<NA>11698128126801.00000001
841962022고추홍고추45.05400.01201229632022-04-232줄노지재배274228112811800.00000000
기준년도품목명품종명주간거리재식간격이랑너비이랑수총재식주수정식일자재식방법구분코드명재배방법구분코드명표준수확량평년수확량가입수확량보험가입면적보험가입금액총보험료자기부담율추기작여부가을전정여부신고재식주수수령
572072022월동무월동무0.00.00002022-08-25<NA><NA>1400144614464814.00000000
418882022고추홍고추30.03000.01001333332022-04-281줄노지재배2796285428541000.00000000
147032022콩대원콩0.00.00002022-06-05휴립 점파 / 줄뿌림<NA>7176916912238.00000000
678312022콩대원콩0.00.00002022-06-27휴립 점파 / 줄뿌림<NA>3833703701387.00000000
651462022마늘의성8.03360.042025744002022-11-03<NA><NA>2554260526052000.00000001
788182022고추홍고추33.03960.01202634722022-05-041줄노지재배2742279927991375.00000001
96572022콩대원콩0.00.00002022-06-22휴립 점파 / 줄뿌림<NA>1478147914796062.00000000
930872022콩청자콩(속청 서리태 포함)0.00.00002022-05-20휴립 점파 / 줄뿌림<NA>1016103610364200.00000000
390382022콩대찬콩0.00.00002022-06-10휴립 점파 / 줄뿌림<NA>1141116811683000.00000000
48432022마늘대서10.01550.01556387122022-10-05<NA><NA>9350941994194030.00000003

Duplicate rows

Most frequently occurring

기준년도품목명품종명주간거리재식간격이랑너비이랑수총재식주수정식일자재식방법구분코드명재배방법구분코드명표준수확량평년수확량가입수확량보험가입면적보험가입금액총보험료자기부담율추기작여부가을전정여부신고재식주수수령# duplicates
02022양파카타마루17.03060.018010326802022-11-03<NA><NA>9404940494041356.000000002
12022월동무월동무0.00.00002022-08-24<NA><NA>1400143214322640.000000002
22022월동무월동무0.00.00002022-09-09<NA><NA>14005605603135.000000002
32022월동무월동무0.00.00002022-09-19<NA><NA>14005605604620.000000002
42022월동무월동무0.00.00002022-09-21<NA><NA>14005605603630.000000002
52022월동무월동무0.00.00002022-09-21<NA><NA>1400140014002310.000000002
62022월동무월동무0.00.00002022-09-22<NA><NA>14005605604950.000000002
72022월동무월동무0.00.00002022-09-23<NA><NA>14005605601020.000000002
82022월동무월동무0.00.00002022-09-24<NA><NA>1400143214322640.000000002
92022월동무월동무0.00.00002022-09-26<NA><NA>1400149614962640.000000002