Overview

Dataset statistics

Number of variables29
Number of observations55
Missing cells23
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.9 KiB
Average record size in memory259.4 B

Variable types

Text1
Numeric22
Categorical6

Dataset

Description2019년 화성시 포도스마트팜 생육조사 데이터 입니다. 포도스마트팜 농가 별 품종, 재배 면적, 수형, 식재년도, 식재수량, 시설형태, 당도, 산도 등의 정보를 제공합니다.
Author경기도 화성시
URLhttps://www.data.go.kr/data/15097641/fileData.do

Alerts

표본번호 has constant value ""Constant
수형 is highly imbalanced (55.0%)Imbalance
착색기 is highly imbalanced (86.9%)Imbalance
만개기 has 17 (30.9%) missing valuesMissing
첫수확일 has 3 (5.5%) missing valuesMissing
마지막수확일 has 3 (5.5%) missing valuesMissing
code has unique valuesUnique
농가번호 has unique valuesUnique
X has unique valuesUnique
Y has unique valuesUnique
신초수 has 1 (1.8%) zerosZeros
송이수 has 1 (1.8%) zerosZeros
m당 신초수 has 1 (1.8%) zerosZeros
m당 송이수 has 1 (1.8%) zerosZeros
과방중 has 13 (23.6%) zerosZeros
당도 has 14 (25.5%) zerosZeros
산도 has 14 (25.5%) zerosZeros
과립수 has 13 (23.6%) zerosZeros
평균과립중 has 13 (23.6%) zerosZeros

Reproduction

Analysis started2023-12-12 11:08:56.762013
Analysis finished2023-12-12 11:08:57.195608
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

code
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-12T20:08:57.439270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.8363636
Min length3

Characters and Unicode

Total characters211
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)100.0%

Sample

1st row66_0
2nd row67_0
3rd row56_0
4th row62_0
5th row21_0
ValueCountFrequency (%)
66_0 1
 
1.8%
43_0 1
 
1.8%
25_0 1
 
1.8%
2_1 1
 
1.8%
44_0 1
 
1.8%
39_0 1
 
1.8%
29_0 1
 
1.8%
42_0 1
 
1.8%
35_0 1
 
1.8%
33_1 1
 
1.8%
Other values (45) 45
81.8%
2023-12-12T20:08:58.050305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 55
26.1%
0 51
24.2%
1 20
 
9.5%
2 15
 
7.1%
4 15
 
7.1%
3 14
 
6.6%
5 14
 
6.6%
6 11
 
5.2%
8 6
 
2.8%
7 6
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 156
73.9%
Connector Punctuation 55
 
26.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 51
32.7%
1 20
 
12.8%
2 15
 
9.6%
4 15
 
9.6%
3 14
 
9.0%
5 14
 
9.0%
6 11
 
7.1%
8 6
 
3.8%
7 6
 
3.8%
9 4
 
2.6%
Connector Punctuation
ValueCountFrequency (%)
_ 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 211
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
_ 55
26.1%
0 51
24.2%
1 20
 
9.5%
2 15
 
7.1%
4 15
 
7.1%
3 14
 
6.6%
5 14
 
6.6%
6 11
 
5.2%
8 6
 
2.8%
7 6
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 211
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 55
26.1%
0 51
24.2%
1 20
 
9.5%
2 15
 
7.1%
4 15
 
7.1%
3 14
 
6.6%
5 14
 
6.6%
6 11
 
5.2%
8 6
 
2.8%
7 6
 
2.8%

농가번호
Real number (ℝ)

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.436364
Minimum1
Maximum67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T20:08:58.310963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.7
Q115.5
median33
Q348.5
95-th percentile62.6
Maximum67
Range66
Interquartile range (IQR)33

Descriptive statistics

Standard deviation19.175374
Coefficient of variation (CV)0.59116903
Kurtosis-1.160647
Mean32.436364
Median Absolute Deviation (MAD)17
Skewness0.016077585
Sum1784
Variance367.69495
MonotonicityNot monotonic
2023-12-12T20:08:58.587270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66 1
 
1.8%
67 1
 
1.8%
25 1
 
1.8%
2 1
 
1.8%
44 1
 
1.8%
39 1
 
1.8%
29 1
 
1.8%
42 1
 
1.8%
35 1
 
1.8%
33 1
 
1.8%
Other values (45) 45
81.8%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
11 1
1.8%
ValueCountFrequency (%)
67 1
1.8%
66 1
1.8%
64 1
1.8%
62 1
1.8%
58 1
1.8%
57 1
1.8%
56 1
1.8%
55 1
1.8%
54 1
1.8%
53 1
1.8%

농장번호
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
0
48 
1
7 

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 48
87.3%
1 7
 
12.7%

Length

2023-12-12T20:08:58.818169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:08:59.651434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 48
87.3%
1 7
 
12.7%

X
Real number (ℝ)

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean931710.04
Minimum926052
Maximum944324
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T20:08:59.893178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum926052
5-th percentile927324.5
Q1928867.5
median930662
Q3933394.5
95-th percentile939446.4
Maximum944324
Range18272
Interquartile range (IQR)4527

Descriptive statistics

Standard deviation3951.6735
Coefficient of variation (CV)0.0042413126
Kurtosis1.1113908
Mean931710.04
Median Absolute Deviation (MAD)2498
Skewness1.1300709
Sum51244052
Variance15615724
MonotonicityNot monotonic
2023-12-12T20:09:00.213911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
928863 1
 
1.8%
933843 1
 
1.8%
928935 1
 
1.8%
928108 1
 
1.8%
940355 1
 
1.8%
928914 1
 
1.8%
933188 1
 
1.8%
935422 1
 
1.8%
944324 1
 
1.8%
933762 1
 
1.8%
Other values (45) 45
81.8%
ValueCountFrequency (%)
926052 1
1.8%
926901 1
1.8%
927223 1
1.8%
927368 1
1.8%
927696 1
1.8%
927707 1
1.8%
927734 1
1.8%
927938 1
1.8%
928077 1
1.8%
928108 1
1.8%
ValueCountFrequency (%)
944324 1
1.8%
940379 1
1.8%
940355 1
1.8%
939057 1
1.8%
938740 1
1.8%
938699 1
1.8%
937806 1
1.8%
935422 1
1.8%
933854 1
1.8%
933843 1
1.8%

Y
Real number (ℝ)

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1913191.4
Minimum1904194
Maximum1919454
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T20:09:00.497185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1904194
5-th percentile1907161
Q11909611
median1914214
Q31916142
95-th percentile1919132.3
Maximum1919454
Range15260
Interquartile range (IQR)6531

Descriptive statistics

Standard deviation3830.1521
Coefficient of variation (CV)0.0020019702
Kurtosis-0.82178497
Mean1913191.4
Median Absolute Deviation (MAD)2320
Skewness-0.38953481
Sum1.0522553 × 108
Variance14670065
MonotonicityNot monotonic
2023-12-12T20:09:00.818676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1914541 1
 
1.8%
1913491 1
 
1.8%
1908896 1
 
1.8%
1908559 1
 
1.8%
1916098 1
 
1.8%
1906102 1
 
1.8%
1912033 1
 
1.8%
1909686 1
 
1.8%
1919048 1
 
1.8%
1909536 1
 
1.8%
Other values (45) 45
81.8%
ValueCountFrequency (%)
1904194 1
1.8%
1906102 1
1.8%
1906930 1
1.8%
1907260 1
1.8%
1907367 1
1.8%
1907996 1
1.8%
1908474 1
1.8%
1908559 1
1.8%
1908620 1
1.8%
1908701 1
1.8%
ValueCountFrequency (%)
1919454 1
1.8%
1919448 1
1.8%
1919329 1
1.8%
1919048 1
1.8%
1917810 1
1.8%
1916723 1
1.8%
1916627 1
1.8%
1916594 1
1.8%
1916477 1
1.8%
1916410 1
1.8%

면적
Real number (ℝ)

Distinct49
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2971.3636
Minimum950
Maximum6877
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T20:09:01.089134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum950
5-th percentile1308
Q12025
median2890
Q33600
95-th percentile5378
Maximum6877
Range5927
Interquartile range (IQR)1575

Descriptive statistics

Standard deviation1193.821
Coefficient of variation (CV)0.40177547
Kurtosis1.2258408
Mean2971.3636
Median Absolute Deviation (MAD)830
Skewness0.8870189
Sum163425
Variance1425208.6
MonotonicityNot monotonic
2023-12-12T20:09:01.375078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
2510 2
 
3.6%
2000 2
 
3.6%
1960 2
 
3.6%
1320 2
 
3.6%
3370 2
 
3.6%
3720 2
 
3.6%
4210 1
 
1.8%
2770 1
 
1.8%
1780 1
 
1.8%
2370 1
 
1.8%
Other values (39) 39
70.9%
ValueCountFrequency (%)
950 1
1.8%
1260 1
1.8%
1280 1
1.8%
1320 2
3.6%
1690 1
1.8%
1730 1
1.8%
1780 1
1.8%
1880 1
1.8%
1940 1
1.8%
1960 2
3.6%
ValueCountFrequency (%)
6877 1
1.8%
5622 1
1.8%
5420 1
1.8%
5360 1
1.8%
4610 1
1.8%
4250 1
1.8%
4210 1
1.8%
4140 1
1.8%
3960 1
1.8%
3870 1
1.8%

주간간격
Real number (ℝ)

Distinct18
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0427273
Minimum1.25
Maximum6.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T20:09:01.657920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.25
5-th percentile2
Q12.5
median2.7
Q33
95-th percentile5.65
Maximum6.4
Range5.15
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation1.0643385
Coefficient of variation (CV)0.34979754
Kurtosis3.0541012
Mean3.0427273
Median Absolute Deviation (MAD)0.3
Skewness1.8319368
Sum167.35
Variance1.1328165
MonotonicityNot monotonic
2023-12-12T20:09:01.940667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
3.0 11
20.0%
2.5 9
16.4%
2.4 7
12.7%
2.7 4
 
7.3%
2.0 3
 
5.5%
2.8 3
 
5.5%
2.6 3
 
5.5%
6.0 2
 
3.6%
4.0 2
 
3.6%
5.5 2
 
3.6%
Other values (8) 9
16.4%
ValueCountFrequency (%)
1.25 1
 
1.8%
2.0 3
 
5.5%
2.1 1
 
1.8%
2.4 7
12.7%
2.5 9
16.4%
2.6 3
 
5.5%
2.7 4
 
7.3%
2.8 3
 
5.5%
2.9 1
 
1.8%
3.0 11
20.0%
ValueCountFrequency (%)
6.4 1
 
1.8%
6.0 2
 
3.6%
5.5 2
 
3.6%
5.0 1
 
1.8%
4.0 2
 
3.6%
3.5 2
 
3.6%
3.3 1
 
1.8%
3.1 1
 
1.8%
3.0 11
20.0%
2.9 1
 
1.8%

열간간격
Real number (ℝ)

Distinct9
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4836364
Minimum2
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T20:09:02.223110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.17
Q12.4
median2.4
Q32.7
95-th percentile2.79
Maximum3
Range1
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.21236206
Coefficient of variation (CV)0.085504488
Kurtosis0.45334212
Mean2.4836364
Median Absolute Deviation (MAD)0.1
Skewness0.47514593
Sum136.6
Variance0.045097643
MonotonicityNot monotonic
2023-12-12T20:09:02.464521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2.4 19
34.5%
2.7 13
23.6%
2.3 8
14.5%
2.5 7
 
12.7%
3.0 3
 
5.5%
2.1 2
 
3.6%
2.6 1
 
1.8%
2.2 1
 
1.8%
2.0 1
 
1.8%
ValueCountFrequency (%)
2.0 1
 
1.8%
2.1 2
 
3.6%
2.2 1
 
1.8%
2.3 8
14.5%
2.4 19
34.5%
2.5 7
 
12.7%
2.6 1
 
1.8%
2.7 13
23.6%
3.0 3
 
5.5%
ValueCountFrequency (%)
3.0 3
 
5.5%
2.7 13
23.6%
2.6 1
 
1.8%
2.5 7
 
12.7%
2.4 19
34.5%
2.3 8
14.5%
2.2 1
 
1.8%
2.1 2
 
3.6%
2.0 1
 
1.8%

수형
Categorical

IMBALANCE 

Distinct5
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size572.0 B
웨이크만형
44 
개량일자형
6 
자연일자형
 
3
계량일자형
 
1
웨이크만형/개량일자형
 
1

Length

Max length11
Median length5
Mean length5.1090909
Min length5

Unique

Unique2 ?
Unique (%)3.6%

Sample

1st row웨이크만형
2nd row웨이크만형
3rd row웨이크만형
4th row개량일자형
5th row계량일자형

Common Values

ValueCountFrequency (%)
웨이크만형 44
80.0%
개량일자형 6
 
10.9%
자연일자형 3
 
5.5%
계량일자형 1
 
1.8%
웨이크만형/개량일자형 1
 
1.8%

Length

2023-12-12T20:09:02.690923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:09:02.895552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
웨이크만형 44
80.0%
개량일자형 6
 
10.9%
자연일자형 3
 
5.5%
계량일자형 1
 
1.8%
웨이크만형/개량일자형 1
 
1.8%

품종
Categorical

Distinct13
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
캠벨얼리
31 
캠벨얼리,샤인머스켓
8 
샤인머스켓
5 
캠벨얼리,샤인머스캇
 
2
샤인머스켓,자옥,캠벨얼리
 
1
Other values (8)
8 

Length

Max length19
Median length4
Mean length6.5454545
Min length4

Unique

Unique9 ?
Unique (%)16.4%

Sample

1st row캠벨얼리,샤인머스켓
2nd row캠벨얼리
3rd row캠벨얼리
4th row캠벨얼리,샤인머스켓
5th row샤인머스켓

Common Values

ValueCountFrequency (%)
캠벨얼리 31
56.4%
캠벨얼리,샤인머스켓 8
 
14.5%
샤인머스켓 5
 
9.1%
캠벨얼리,샤인머스캇 2
 
3.6%
샤인머스켓,자옥,캠벨얼리 1
 
1.8%
샤인머스켓,흑바라드,흑보석,캠벨얼리 1
 
1.8%
캠벨얼리/샤인머스켓 1
 
1.8%
캠벨얼리,거봉 1
 
1.8%
캠벨얼리,샤인머스켓,썸머블랙,청수 1
 
1.8%
흑보석,샤인머스캇 1
 
1.8%
Other values (3) 3
 
5.5%

Length

2023-12-12T20:09:03.142859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
캠벨얼리 31
56.4%
캠벨얼리,샤인머스켓 8
 
14.5%
샤인머스켓 5
 
9.1%
캠벨얼리,샤인머스캇 2
 
3.6%
샤인머스켓,자옥,캠벨얼리 1
 
1.8%
샤인머스켓,흑바라드,흑보석,캠벨얼리 1
 
1.8%
캠벨얼리/샤인머스켓 1
 
1.8%
캠벨얼리,거봉 1
 
1.8%
캠벨얼리,샤인머스켓,썸머블랙,청수 1
 
1.8%
흑보석,샤인머스캇 1
 
1.8%
Other values (3) 3
 
5.5%

식재년도
Real number (ℝ)

Distinct12
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2012.2909
Minimum2000
Maximum2019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T20:09:03.358339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile2009
Q12009
median2012
Q32015
95-th percentile2018
Maximum2019
Range19
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.6700627
Coefficient of variation (CV)0.0018238231
Kurtosis0.89426265
Mean2012.2909
Median Absolute Deviation (MAD)3
Skewness-0.22008348
Sum110676
Variance13.46936
MonotonicityNot monotonic
2023-12-12T20:09:03.587101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2009 18
32.7%
2012 13
23.6%
2017 6
 
10.9%
2018 3
 
5.5%
2013 3
 
5.5%
2014 3
 
5.5%
2016 2
 
3.6%
2019 2
 
3.6%
2015 2
 
3.6%
2000 1
 
1.8%
Other values (2) 2
 
3.6%
ValueCountFrequency (%)
2000 1
 
1.8%
2009 18
32.7%
2010 1
 
1.8%
2011 1
 
1.8%
2012 13
23.6%
2013 3
 
5.5%
2014 3
 
5.5%
2015 2
 
3.6%
2016 2
 
3.6%
2017 6
 
10.9%
ValueCountFrequency (%)
2019 2
 
3.6%
2018 3
 
5.5%
2017 6
10.9%
2016 2
 
3.6%
2015 2
 
3.6%
2014 3
 
5.5%
2013 3
 
5.5%
2012 13
23.6%
2011 1
 
1.8%
2010 1
 
1.8%

식재수량
Real number (ℝ)

Distinct54
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean440.12727
Minimum93
Maximum1100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T20:09:03.849167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum93
5-th percentile159.8
Q1290.5
median400
Q3541
95-th percentile985.3
Maximum1100
Range1007
Interquartile range (IQR)250.5

Descriptive statistics

Standard deviation231.6741
Coefficient of variation (CV)0.5263798
Kurtosis1.7768864
Mean440.12727
Median Absolute Deviation (MAD)130
Skewness1.2569808
Sum24207
Variance53672.891
MonotonicityNot monotonic
2023-12-12T20:09:04.079668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
350 2
 
3.6%
292 1
 
1.8%
286 1
 
1.8%
220 1
 
1.8%
348 1
 
1.8%
329 1
 
1.8%
302 1
 
1.8%
528 1
 
1.8%
414 1
 
1.8%
400 1
 
1.8%
Other values (44) 44
80.0%
ValueCountFrequency (%)
93 1
1.8%
127 1
1.8%
150 1
1.8%
164 1
1.8%
168 1
1.8%
185 1
1.8%
210 1
1.8%
220 1
1.8%
229 1
1.8%
238 1
1.8%
ValueCountFrequency (%)
1100 1
1.8%
1095 1
1.8%
1084 1
1.8%
943 1
1.8%
725 1
1.8%
704 1
1.8%
655 1
1.8%
640 1
1.8%
625 1
1.8%
613 1
1.8%

시설형태
Categorical

Distinct4
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size572.0 B
비가림시설(치마)
25 
비가림시설
19 
무가온 비닐하우스
9 
가온 비닐하우스
 
2

Length

Max length9
Median length9
Mean length7.5818182
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row비가림시설
2nd row비가림시설(치마)
3rd row비가림시설
4th row비가림시설
5th row무가온 비닐하우스

Common Values

ValueCountFrequency (%)
비가림시설(치마) 25
45.5%
비가림시설 19
34.5%
무가온 비닐하우스 9
 
16.4%
가온 비닐하우스 2
 
3.6%

Length

2023-12-12T20:09:04.320557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:09:04.525385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비가림시설(치마 25
37.9%
비가림시설 19
28.8%
비닐하우스 11
16.7%
무가온 9
 
13.6%
가온 2
 
3.0%

발아기
Real number (ℝ)

Distinct24
Distinct (%)43.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20190405
Minimum20190309
Maximum20190426
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T20:09:04.724693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20190309
5-th percentile20190322
Q120190409
median20190412
Q320190420
95-th percentile20190424
Maximum20190426
Range117
Interquartile range (IQR)11

Descriptive statistics

Standard deviation28.832887
Coefficient of variation (CV)1.4280489 × 10-6
Kurtosis6.2840871
Mean20190405
Median Absolute Deviation (MAD)7
Skewness-2.7179177
Sum1.1104723 × 109
Variance831.33535
MonotonicityNot monotonic
2023-12-12T20:09:04.957224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20190409 10
18.2%
20190420 8
14.5%
20190416 5
 
9.1%
20190405 4
 
7.3%
20190415 3
 
5.5%
20190424 3
 
5.5%
20190411 2
 
3.6%
20190410 2
 
3.6%
20190418 2
 
3.6%
20190422 2
 
3.6%
Other values (14) 14
25.5%
ValueCountFrequency (%)
20190309 1
 
1.8%
20190310 1
 
1.8%
20190312 1
 
1.8%
20190327 1
 
1.8%
20190330 1
 
1.8%
20190402 1
 
1.8%
20190403 1
 
1.8%
20190404 1
 
1.8%
20190405 4
7.3%
20190407 1
 
1.8%
ValueCountFrequency (%)
20190426 1
 
1.8%
20190425 1
 
1.8%
20190424 3
 
5.5%
20190423 1
 
1.8%
20190422 2
 
3.6%
20190420 8
14.5%
20190418 2
 
3.6%
20190416 5
9.1%
20190415 3
 
5.5%
20190414 1
 
1.8%

만개기
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)55.3%
Missing17
Missing (%)30.9%
Infinite0
Infinite (%)0.0%
Mean20190512
Minimum20190410
Maximum20190604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T20:09:05.152502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20190410
5-th percentile20190411
Q120190510
median20190520
Q320190525
95-th percentile20190539
Maximum20190604
Range194
Interquartile range (IQR)15

Descriptive statistics

Standard deviation40.088531
Coefficient of variation (CV)1.9855134 × 10-6
Kurtosis3.2849572
Mean20190512
Median Absolute Deviation (MAD)6.5
Skewness-1.0355197
Sum7.6723945 × 108
Variance1607.0903
MonotonicityNot monotonic
2023-12-12T20:09:05.381214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20190525 7
12.7%
20190520 4
 
7.3%
20190510 3
 
5.5%
20190528 3
 
5.5%
20190515 2
 
3.6%
20190517 2
 
3.6%
20190410 2
 
3.6%
20190511 2
 
3.6%
20190604 1
 
1.8%
20190411 1
 
1.8%
Other values (11) 11
20.0%
(Missing) 17
30.9%
ValueCountFrequency (%)
20190410 2
3.6%
20190411 1
 
1.8%
20190420 1
 
1.8%
20190502 1
 
1.8%
20190503 1
 
1.8%
20190506 1
 
1.8%
20190508 1
 
1.8%
20190510 3
5.5%
20190511 2
3.6%
20190515 2
3.6%
ValueCountFrequency (%)
20190604 1
 
1.8%
20190603 1
 
1.8%
20190528 3
5.5%
20190527 1
 
1.8%
20190526 1
 
1.8%
20190525 7
12.7%
20190523 1
 
1.8%
20190522 1
 
1.8%
20190521 1
 
1.8%
20190520 4
7.3%

착색기
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
54 
20190615
 
1

Length

Max length8
Median length4
Mean length4.0727273
Min length4

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 54
98.2%
20190615 1
 
1.8%

Length

2023-12-12T20:09:05.646854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:09:05.845146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
98.2%
20190615 1
 
1.8%

첫수확일
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)67.3%
Missing3
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean20190825
Minimum20190703
Maximum20190923
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T20:09:06.073797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20190703
5-th percentile20190716
Q120190805
median20190820
Q320190901
95-th percentile20190914
Maximum20190923
Range220
Interquartile range (IQR)96

Descriptive statistics

Standard deviation63.715774
Coefficient of variation (CV)3.1556796 × 10-6
Kurtosis-0.57588054
Mean20190825
Median Absolute Deviation (MAD)16
Skewness-0.21684598
Sum1.0499229 × 109
Variance4059.6998
MonotonicityNot monotonic
2023-12-12T20:09:06.321424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
20190825 3
 
5.5%
20190815 3
 
5.5%
20190817 2
 
3.6%
20190720 2
 
3.6%
20190923 2
 
3.6%
20190904 2
 
3.6%
20190910 2
 
3.6%
20190903 2
 
3.6%
20190901 2
 
3.6%
20190828 2
 
3.6%
Other values (25) 30
54.5%
(Missing) 3
 
5.5%
ValueCountFrequency (%)
20190703 1
1.8%
20190707 1
1.8%
20190715 1
1.8%
20190716 1
1.8%
20190720 2
3.6%
20190725 2
3.6%
20190728 1
1.8%
20190801 2
3.6%
20190802 1
1.8%
20190805 2
3.6%
ValueCountFrequency (%)
20190923 2
3.6%
20190920 1
1.8%
20190910 2
3.6%
20190907 1
1.8%
20190906 1
1.8%
20190905 1
1.8%
20190904 2
3.6%
20190903 2
3.6%
20190901 2
3.6%
20190831 1
1.8%

마지막수확일
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)65.4%
Missing3
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean20190891
Minimum20190720
Maximum20191030
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T20:09:06.566083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20190720
5-th percentile20190724
Q120190826
median20190912
Q320190928
95-th percentile20191018
Maximum20191030
Range310
Interquartile range (IQR)102.25

Descriptive statistics

Standard deviation81.123565
Coefficient of variation (CV)4.0178298 × 10-6
Kurtosis-0.26147546
Mean20190891
Median Absolute Deviation (MAD)82.5
Skewness-0.29803523
Sum1.0499263 × 109
Variance6581.0328
MonotonicityNot monotonic
2023-12-12T20:09:06.815212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
20190910 4
 
7.3%
20190930 3
 
5.5%
20190825 3
 
5.5%
20190915 3
 
5.5%
20190720 3
 
5.5%
20190925 3
 
5.5%
20190920 2
 
3.6%
20190905 2
 
3.6%
20190827 2
 
3.6%
20190927 2
 
3.6%
Other values (24) 25
45.5%
(Missing) 3
 
5.5%
ValueCountFrequency (%)
20190720 3
5.5%
20190727 1
 
1.8%
20190801 1
 
1.8%
20190810 1
 
1.8%
20190818 1
 
1.8%
20190820 1
 
1.8%
20190821 1
 
1.8%
20190822 1
 
1.8%
20190825 3
5.5%
20190826 1
 
1.8%
ValueCountFrequency (%)
20191030 1
 
1.8%
20191027 1
 
1.8%
20191020 1
 
1.8%
20191017 1
 
1.8%
20191015 1
 
1.8%
20191012 1
 
1.8%
20191010 1
 
1.8%
20191004 1
 
1.8%
20190930 3
5.5%
20190929 1
 
1.8%

표본번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
1
55 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 55
100.0%

Length

2023-12-12T20:09:07.068443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:09:07.259712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 55
100.0%

수평주지길이
Real number (ℝ)

Distinct19
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0254545
Minimum1
Maximum6.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T20:09:07.413973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12.5
median2.7
Q33
95-th percentile5.65
Maximum6.4
Range5.4
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation1.074316
Coefficient of variation (CV)0.35509243
Kurtosis3.055042
Mean3.0254545
Median Absolute Deviation (MAD)0.3
Skewness1.7811759
Sum166.4
Variance1.1541549
MonotonicityNot monotonic
2023-12-12T20:09:07.641486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2.5 11
20.0%
3.0 10
18.2%
2.4 7
12.7%
2.7 4
 
7.3%
2.0 3
 
5.5%
2.8 3
 
5.5%
6.0 2
 
3.6%
5.5 2
 
3.6%
2.6 2
 
3.6%
3.5 2
 
3.6%
Other values (9) 9
16.4%
ValueCountFrequency (%)
1.0 1
 
1.8%
2.0 3
 
5.5%
2.1 1
 
1.8%
2.4 7
12.7%
2.5 11
20.0%
2.6 2
 
3.6%
2.7 4
 
7.3%
2.8 3
 
5.5%
2.9 1
 
1.8%
3.0 10
18.2%
ValueCountFrequency (%)
6.4 1
 
1.8%
6.0 2
 
3.6%
5.5 2
 
3.6%
5.0 1
 
1.8%
4.0 1
 
1.8%
3.9 1
 
1.8%
3.5 2
 
3.6%
3.3 1
 
1.8%
3.1 1
 
1.8%
3.0 10
18.2%

신초수
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.545455
Minimum0
Maximum55
Zeros1
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T20:09:07.875524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q124.5
median32
Q337
95-th percentile50
Maximum55
Range55
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation10.739022
Coefficient of variation (CV)0.3404301
Kurtosis0.51800307
Mean31.545455
Median Absolute Deviation (MAD)7
Skewness-0.19010422
Sum1735
Variance115.3266
MonotonicityNot monotonic
2023-12-12T20:09:08.078487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
35 9
16.4%
30 6
10.9%
20 5
 
9.1%
40 4
 
7.3%
24 4
 
7.3%
50 4
 
7.3%
25 3
 
5.5%
45 3
 
5.5%
15 2
 
3.6%
37 2
 
3.6%
Other values (10) 13
23.6%
ValueCountFrequency (%)
0 1
 
1.8%
10 1
 
1.8%
15 2
 
3.6%
20 5
9.1%
22 1
 
1.8%
24 4
7.3%
25 3
5.5%
27 2
 
3.6%
28 2
 
3.6%
30 6
10.9%
ValueCountFrequency (%)
55 1
 
1.8%
50 4
7.3%
45 3
 
5.5%
42 1
 
1.8%
40 4
7.3%
37 2
 
3.6%
35 9
16.4%
34 1
 
1.8%
33 1
 
1.8%
32 2
 
3.6%

송이수
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.090909
Minimum0
Maximum80
Zeros1
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T20:09:08.287185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q124.5
median32
Q337
95-th percentile50
Maximum80
Range80
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation12.336745
Coefficient of variation (CV)0.38443116
Kurtosis3.5947849
Mean32.090909
Median Absolute Deviation (MAD)7
Skewness0.83691779
Sum1765
Variance152.19529
MonotonicityNot monotonic
2023-12-12T20:09:08.551442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
35 9
16.4%
30 6
10.9%
20 5
 
9.1%
24 4
 
7.3%
40 4
 
7.3%
25 3
 
5.5%
45 3
 
5.5%
50 3
 
5.5%
15 2
 
3.6%
27 2
 
3.6%
Other values (11) 14
25.5%
ValueCountFrequency (%)
0 1
 
1.8%
10 1
 
1.8%
15 2
 
3.6%
20 5
9.1%
22 1
 
1.8%
24 4
7.3%
25 3
5.5%
27 2
 
3.6%
28 2
 
3.6%
30 6
10.9%
ValueCountFrequency (%)
80 1
 
1.8%
55 1
 
1.8%
50 3
 
5.5%
45 3
 
5.5%
42 1
 
1.8%
40 4
7.3%
37 2
 
3.6%
35 9
16.4%
34 1
 
1.8%
33 1
 
1.8%

m당 신초수
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)67.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.826182
Minimum0
Maximum20
Zeros1
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T20:09:08.802969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.199
Q19.58
median10.67
Q312.5
95-th percentile15.731
Maximum20
Range20
Interquartile range (IQR)2.92

Descriptive statistics

Standard deviation3.5656948
Coefficient of variation (CV)0.32935848
Kurtosis2.2054803
Mean10.826182
Median Absolute Deviation (MAD)1.66
Skewness-0.31684255
Sum595.44
Variance12.71418
MonotonicityNot monotonic
2023-12-12T20:09:09.058044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
10.0 10
 
18.2%
12.5 3
 
5.5%
7.5 2
 
3.6%
11.54 2
 
3.6%
10.67 2
 
3.6%
11.67 2
 
3.6%
12.0 2
 
3.6%
14.0 2
 
3.6%
20.0 2
 
3.6%
14.81 1
 
1.8%
Other values (27) 27
49.1%
ValueCountFrequency (%)
0.0 1
1.8%
1.56 1
1.8%
3.33 1
1.8%
6.0 1
1.8%
6.9 1
1.8%
7.27 1
1.8%
7.5 2
3.6%
8.0 1
1.8%
8.33 1
1.8%
8.57 1
1.8%
ValueCountFrequency (%)
20.0 2
3.6%
16.13 1
1.8%
15.56 1
1.8%
14.81 1
1.8%
14.58 1
1.8%
14.23 1
1.8%
14.0 2
3.6%
13.6 1
1.8%
13.33 1
1.8%
12.96 1
1.8%

m당 송이수
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)67.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.002182
Minimum0
Maximum25.81
Zeros1
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T20:09:09.893138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.199
Q19.58
median10.67
Q312.5
95-th percentile16.892
Maximum25.81
Range25.81
Interquartile range (IQR)2.92

Descriptive statistics

Standard deviation4.0397248
Coefficient of variation (CV)0.36717488
Kurtosis3.8244596
Mean11.002182
Median Absolute Deviation (MAD)1.66
Skewness0.58353545
Sum605.12
Variance16.319377
MonotonicityNot monotonic
2023-12-12T20:09:10.160033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
10.0 10
 
18.2%
12.5 3
 
5.5%
7.5 2
 
3.6%
11.54 2
 
3.6%
10.67 2
 
3.6%
11.67 2
 
3.6%
12.0 2
 
3.6%
14.0 2
 
3.6%
20.0 2
 
3.6%
14.81 1
 
1.8%
Other values (27) 27
49.1%
ValueCountFrequency (%)
0.0 1
1.8%
1.56 1
1.8%
3.33 1
1.8%
6.0 1
1.8%
6.9 1
1.8%
7.27 1
1.8%
7.5 2
3.6%
8.0 1
1.8%
8.33 1
1.8%
8.57 1
1.8%
ValueCountFrequency (%)
25.81 1
1.8%
20.0 2
3.6%
15.56 1
1.8%
14.81 1
1.8%
14.58 1
1.8%
14.23 1
1.8%
14.0 2
3.6%
13.6 1
1.8%
13.33 1
1.8%
12.96 1
1.8%

과방중
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean299.44545
Minimum0
Maximum855.7
Zeros13
Zeros (%)23.6%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T20:09:10.403003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1264.5
median352.8
Q3400.7
95-th percentile520.5
Maximum855.7
Range855.7
Interquartile range (IQR)136.2

Descriptive statistics

Standard deviation189.34337
Coefficient of variation (CV)0.6323134
Kurtosis0.29455962
Mean299.44545
Median Absolute Deviation (MAD)68
Skewness-0.28282243
Sum16469.5
Variance35850.913
MonotonicityNot monotonic
2023-12-12T20:09:10.658760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0.0 13
 
23.6%
303.8 1
 
1.8%
495.5 1
 
1.8%
339.0 1
 
1.8%
456.3 1
 
1.8%
535.9 1
 
1.8%
258.4 1
 
1.8%
372.5 1
 
1.8%
445.3 1
 
1.8%
350.8 1
 
1.8%
Other values (33) 33
60.0%
ValueCountFrequency (%)
0.0 13
23.6%
258.4 1
 
1.8%
270.6 1
 
1.8%
275.0 1
 
1.8%
277.8 1
 
1.8%
303.8 1
 
1.8%
328.6 1
 
1.8%
329.5 1
 
1.8%
329.7 1
 
1.8%
333.2 1
 
1.8%
ValueCountFrequency (%)
855.7 1
1.8%
564.8 1
1.8%
535.9 1
1.8%
513.9 1
1.8%
495.5 1
1.8%
456.3 1
1.8%
450.1 1
1.8%
449.9 1
1.8%
445.3 1
1.8%
431.7 1
1.8%

당도
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)43.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.258182
Minimum0
Maximum19.2
Zeros14
Zeros (%)25.5%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T20:09:10.884218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.1
median15.8
Q316.75
95-th percentile18.22
Maximum19.2
Range19.2
Interquartile range (IQR)9.65

Descriptive statistics

Standard deviation7.2975057
Coefficient of variation (CV)0.59531714
Kurtosis-0.72960596
Mean12.258182
Median Absolute Deviation (MAD)1.1
Skewness-1.0917875
Sum674.2
Variance53.253589
MonotonicityNot monotonic
2023-12-12T20:09:11.138822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 14
25.5%
15.7 3
 
5.5%
17.3 3
 
5.5%
15.5 3
 
5.5%
16.6 3
 
5.5%
15.9 3
 
5.5%
15.8 2
 
3.6%
16.2 2
 
3.6%
16.9 2
 
3.6%
16.3 2
 
3.6%
Other values (14) 18
32.7%
ValueCountFrequency (%)
0.0 14
25.5%
14.2 1
 
1.8%
14.8 1
 
1.8%
14.9 1
 
1.8%
15.0 1
 
1.8%
15.2 2
 
3.6%
15.5 3
 
5.5%
15.6 1
 
1.8%
15.7 3
 
5.5%
15.8 2
 
3.6%
ValueCountFrequency (%)
19.2 1
 
1.8%
18.5 2
3.6%
18.1 2
3.6%
18.0 2
3.6%
17.8 1
 
1.8%
17.3 3
5.5%
17.1 1
 
1.8%
16.9 2
3.6%
16.6 3
5.5%
16.5 1
 
1.8%

산도
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.41763636
Minimum0
Maximum0.77
Zeros14
Zeros (%)25.5%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T20:09:11.388449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.205
median0.53
Q30.57
95-th percentile0.663
Maximum0.77
Range0.77
Interquartile range (IQR)0.365

Descriptive statistics

Standard deviation0.25311367
Coefficient of variation (CV)0.60606235
Kurtosis-0.78170973
Mean0.41763636
Median Absolute Deviation (MAD)0.06
Skewness-0.9627447
Sum22.97
Variance0.064066532
MonotonicityNot monotonic
2023-12-12T20:09:11.627207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 14
25.5%
0.53 8
14.5%
0.55 6
10.9%
0.6 3
 
5.5%
0.51 2
 
3.6%
0.57 2
 
3.6%
0.52 2
 
3.6%
0.64 2
 
3.6%
0.59 2
 
3.6%
0.5 2
 
3.6%
Other values (12) 12
21.8%
ValueCountFrequency (%)
0.0 14
25.5%
0.41 1
 
1.8%
0.45 1
 
1.8%
0.48 1
 
1.8%
0.49 1
 
1.8%
0.5 2
 
3.6%
0.51 2
 
3.6%
0.52 2
 
3.6%
0.53 8
14.5%
0.54 1
 
1.8%
ValueCountFrequency (%)
0.77 1
 
1.8%
0.71 1
 
1.8%
0.67 1
 
1.8%
0.66 1
 
1.8%
0.64 2
3.6%
0.62 1
 
1.8%
0.61 1
 
1.8%
0.6 3
5.5%
0.59 2
3.6%
0.57 2
3.6%

과립수
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)50.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.672727
Minimum0
Maximum92
Zeros13
Zeros (%)23.6%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T20:09:11.872473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q137
median63
Q369
95-th percentile80.6
Maximum92
Range92
Interquartile range (IQR)32

Descriptive statistics

Standard deviation29.961738
Coefficient of variation (CV)0.60318286
Kurtosis-0.79580648
Mean49.672727
Median Absolute Deviation (MAD)13
Skewness-0.82805421
Sum2732
Variance897.70572
MonotonicityNot monotonic
2023-12-12T20:09:12.081152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 13
23.6%
65 4
 
7.3%
69 3
 
5.5%
66 3
 
5.5%
74 2
 
3.6%
64 2
 
3.6%
80 2
 
3.6%
68 2
 
3.6%
58 2
 
3.6%
48 2
 
3.6%
Other values (18) 20
36.4%
ValueCountFrequency (%)
0 13
23.6%
36 1
 
1.8%
38 1
 
1.8%
46 1
 
1.8%
48 2
 
3.6%
49 2
 
3.6%
52 1
 
1.8%
56 1
 
1.8%
57 1
 
1.8%
58 2
 
3.6%
ValueCountFrequency (%)
92 1
1.8%
91 1
1.8%
82 1
1.8%
80 2
3.6%
78 1
1.8%
76 2
3.6%
75 1
1.8%
74 2
3.6%
73 1
1.8%
72 1
1.8%

평균과립중
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)70.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6838182
Minimum0
Maximum11.56
Zeros13
Zeros (%)23.6%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T20:09:12.280181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.555
median5.47
Q36.03
95-th percentile9.219
Maximum11.56
Range11.56
Interquartile range (IQR)1.475

Descriptive statistics

Standard deviation2.9197555
Coefficient of variation (CV)0.6233708
Kurtosis-0.16883014
Mean4.6838182
Median Absolute Deviation (MAD)0.68
Skewness-0.42655242
Sum257.61
Variance8.5249722
MonotonicityNot monotonic
2023-12-12T20:09:12.517160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0.0 13
23.6%
5.92 3
 
5.5%
5.93 2
 
3.6%
6.59 2
 
3.6%
9.18 1
 
1.8%
4.84 1
 
1.8%
6.53 1
 
1.8%
6.95 1
 
1.8%
5.7 1
 
1.8%
5.88 1
 
1.8%
Other values (29) 29
52.7%
ValueCountFrequency (%)
0.0 13
23.6%
4.38 1
 
1.8%
4.73 1
 
1.8%
4.84 1
 
1.8%
4.93 1
 
1.8%
5.08 1
 
1.8%
5.11 1
 
1.8%
5.12 1
 
1.8%
5.17 1
 
1.8%
5.23 1
 
1.8%
ValueCountFrequency (%)
11.56 1
1.8%
10.38 1
1.8%
9.31 1
1.8%
9.18 1
1.8%
6.95 1
1.8%
6.85 1
1.8%
6.59 2
3.6%
6.53 1
1.8%
6.44 1
1.8%
6.29 1
1.8%

Sample

code농가번호농장번호XY면적주간간격열간간격수형품종식재년도식재수량시설형태발아기만개기착색기첫수확일마지막수확일표본번호수평주지길이신초수송이수m당 신초수m당 송이수과방중당도산도과립수평균과립중
066_0660928863191454142106.02.4웨이크만형캠벨얼리,샤인머스켓2018292비가림시설20190405<NA><NA>201909052019093016.045457.57.50.00.00.000.0
167_0670933843191349128902.62.7웨이크만형캠벨얼리2013411비가림시설(치마)2019041020190511<NA>201909012019091513.9454511.5411.540.00.00.000.0
256_0560938740191945433902.62.4웨이크만형캠벨얼리2013543비가림시설20190409<NA><NA>201908292019091512.6373714.2314.230.00.00.000.0
362_0620932902191072125102.52.3개량일자형캠벨얼리,샤인머스켓2000436비가림시설20190422<NA><NA><NA><NA>12.5282811.211.20.00.00.000.0
421_0210928077190870120004.02.1계량일자형샤인머스켓2016238무가온 비닐하우스20190409<NA><NA><NA><NA>11.0000.00.00.00.00.000.0
553_0530928966190862041402.72.5개량일자형샤인머스켓,자옥,캠벨얼리2012613비가림시설(치마)20190414<NA><NA>201908102019091012.7353512.9612.960.00.00.000.0
658_0580932306190693034663.02.7자연일자형캠벨얼리2012427비가림시설20190416<NA><NA>201908252019092512.5505020.020.00.00.00.000.0
752_0520927223190847436202.42.3웨이크만형캠벨얼리2012655비가림시설(치마)20190416<NA><NA>201908142019092712.4272711.2511.250.00.00.000.0
857_0570928249191638533802.02.4자연일자형샤인머스켓,흑바라드,흑보석,캠벨얼리2019704비가림시설(치마)20190409<NA><NA>201908192019100412.015157.57.50.00.00.000.0
955_0550928685191517738702.82.4웨이크만형캠벨얼리/샤인머스켓20101095비가림시설(치마)20190409<NA><NA>201908162019082512.827279.649.640.00.00.000.0
code농가번호농장번호XY면적주간간격열간간격수형품종식재년도식재수량시설형태발아기만개기착색기첫수확일마지막수확일표본번호수평주지길이신초수송이수m당 신초수m당 송이수과방중당도산도과립수평균과립중
4514_1141932196191398219405.02.3웨이크만형캠벨얼리2012168비가림시설(치마)2019040520190510<NA>201908172019083015.0505010.010.0431.715.60.55666.59
4617_0170928164191416237203.32.3웨이크만형/개량일자형캠벨얼리2009490비가림시설2019040320190506<NA>201909102019092013.3353510.6110.61420.815.50.59696.07
4751_0510927734191781019602.52.5웨이크만형캠벨얼리2009313비가림시설(치마)2019041020190520<NA>201907252019082812.5252510.010.00.00.00.000.0
4812_0120928872191647729303.02.7웨이크만형캠벨얼리2009361비가림시설(치마)2019032720190508<NA>201907282019082513.0353511.6711.67376.215.20.55645.92
4922_0220927696191672313202.02.7웨이크만형캠벨얼리2011245비가림시설(치마)2019041220190510<NA>201908202019091012.0242412.012.0409.214.80.53695.92
5041_0410926052191569037502.52.4웨이크만형캠벨얼리2009625비가림시설2019042020190525<NA>201909032019091312.515156.06.0361.718.10.61586.24
5147_0470926901191605416906.03.0웨이크만형샤인머스캣201793가온 비닐하우스2019033020190410<NA>201907202019081016.020203.333.33352.818.50.64389.31
521_111933410191659425602.02.4개량일자형캠벨얼리,샤인머스켓2015530무가온 비닐하우스2019031220190410<NA>201907152019072012.0202010.010.0359.617.80.45764.73
5340_0400933379191625720502.82.4웨이크만형캠벨얼리2012305비가림시설2019042620190517<NA>201909042019092412.8353512.512.5450.116.30.54736.15
5449_0490933836191607324505.52.4웨이크만형샤인머스켓2017185비가림시설2019042520190517<NA>201909232019101215.540407.277.27564.818.00.59629.18