Overview

Dataset statistics

Number of variables32
Number of observations2359
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory645.2 KiB
Average record size in memory280.1 B

Variable types

Numeric21
Categorical9
Text2

Dataset

Description충청남도 청양군의 농기계임대사업관리시스템의 실적정보에 관한 데이터로 테이블관리번호, 실적일자, 기종대수, 현재수량 등에 관한 데이터를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=331&beforeMenuCd=DOM_000000201001001000&publicdatapk=15089546

Alerts

실적관리번호 has constant value ""Constant
현재수량8 has constant value ""Constant
누적수량8 has constant value ""Constant
장비구분 has constant value ""Constant
현재수량4 is highly skewed (γ1 = 34.23298899)Skewed
누적수량4 is highly skewed (γ1 = 34.23119285)Skewed
순번 has unique valuesUnique
테이블관리번호 has unique valuesUnique
현재수량1 has 2240 (95.0%) zerosZeros
누적수량1 has 1994 (84.5%) zerosZeros
현재수량2 has 2240 (95.0%) zerosZeros
누적수량2 has 1994 (84.5%) zerosZeros
현재수량3 has 2240 (95.0%) zerosZeros
누적수량3 has 1994 (84.5%) zerosZeros
현재수량4 has 2240 (95.0%) zerosZeros
누적수량4 has 1994 (84.5%) zerosZeros
현재수량5 has 2240 (95.0%) zerosZeros
누적수량5 has 1994 (84.5%) zerosZeros
현재수량6 has 2240 (95.0%) zerosZeros
현재수량61 has 2240 (95.0%) zerosZeros
누적수량6 has 2098 (88.9%) zerosZeros
현재수량7 has 2241 (95.0%) zerosZeros
누적수량7 has 1995 (84.6%) zerosZeros
현재수량9 has 650 (27.6%) zerosZeros
현재수량91 has 650 (27.6%) zerosZeros
누적수량9 has 889 (37.7%) zerosZeros

Reproduction

Analysis started2024-01-09 22:32:01.801919
Analysis finished2024-01-09 22:32:02.144319
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct2359
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1180
Minimum1
Maximum2359
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-01-10T07:32:02.203415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile118.9
Q1590.5
median1180
Q31769.5
95-th percentile2241.1
Maximum2359
Range2358
Interquartile range (IQR)1179

Descriptive statistics

Standard deviation681.12896
Coefficient of variation (CV)0.57722794
Kurtosis-1.2
Mean1180
Median Absolute Deviation (MAD)590
Skewness0
Sum2783620
Variance463936.67
MonotonicityStrictly increasing
2024-01-10T07:32:02.313732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1586 1
 
< 0.1%
1570 1
 
< 0.1%
1571 1
 
< 0.1%
1572 1
 
< 0.1%
1573 1
 
< 0.1%
1574 1
 
< 0.1%
1575 1
 
< 0.1%
1576 1
 
< 0.1%
1577 1
 
< 0.1%
Other values (2349) 2349
99.6%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2359 1
< 0.1%
2358 1
< 0.1%
2357 1
< 0.1%
2356 1
< 0.1%
2355 1
< 0.1%
2354 1
< 0.1%
2353 1
< 0.1%
2352 1
< 0.1%
2351 1
< 0.1%
2350 1
< 0.1%

테이블관리번호
Real number (ℝ)

UNIQUE 

Distinct2359
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8659.6452
Minimum478
Maximum12130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-01-10T07:32:02.426628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum478
5-th percentile595.9
Q110361.5
median10951
Q311540.5
95-th percentile12012.1
Maximum12130
Range11652
Interquartile range (IQR)1179

Descriptive statistics

Standard deviation4523.92
Coefficient of variation (CV)0.52241401
Kurtosis-0.65366897
Mean8659.6452
Median Absolute Deviation (MAD)590
Skewness-1.136899
Sum20428103
Variance20465852
MonotonicityNot monotonic
2024-01-10T07:32:02.539955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
478 1
 
< 0.1%
10865 1
 
< 0.1%
10888 1
 
< 0.1%
10887 1
 
< 0.1%
10886 1
 
< 0.1%
10885 1
 
< 0.1%
10884 1
 
< 0.1%
10880 1
 
< 0.1%
10801 1
 
< 0.1%
10879 1
 
< 0.1%
Other values (2349) 2349
99.6%
ValueCountFrequency (%)
478 1
< 0.1%
479 1
< 0.1%
480 1
< 0.1%
481 1
< 0.1%
482 1
< 0.1%
483 1
< 0.1%
484 1
< 0.1%
485 1
< 0.1%
486 1
< 0.1%
487 1
< 0.1%
ValueCountFrequency (%)
12130 1
< 0.1%
12129 1
< 0.1%
12128 1
< 0.1%
12127 1
< 0.1%
12126 1
< 0.1%
12125 1
< 0.1%
12124 1
< 0.1%
12123 1
< 0.1%
12122 1
< 0.1%
12121 1
< 0.1%

실적일자
Categorical

Distinct14
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size18.6 KiB
2015-01-11
186 
2015-01-10
186 
2015-01-09
186 
2015-01-08
186 
2015-01-07
186 
Other values (9)
1429 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2011-01-01
2nd row2011-01-01
3rd row2011-01-01
4th row2011-01-01
5th row2011-01-01

Common Values

ValueCountFrequency (%)
2015-01-11 186
 
7.9%
2015-01-10 186
 
7.9%
2015-01-09 186
 
7.9%
2015-01-08 186
 
7.9%
2015-01-07 186
 
7.9%
2015-01-05 186
 
7.9%
2015-01-04 186
 
7.9%
2015-01-01 186
 
7.9%
2015-05-01 178
 
7.5%
2015-04-01 178
 
7.5%
Other values (4) 515
21.8%

Length

2024-01-10T07:32:02.638634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2015-01-11 186
 
7.9%
2015-01-10 186
 
7.9%
2015-01-09 186
 
7.9%
2015-01-08 186
 
7.9%
2015-01-07 186
 
7.9%
2015-01-05 186
 
7.9%
2015-01-04 186
 
7.9%
2015-01-01 186
 
7.9%
2015-05-01 178
 
7.5%
2015-04-01 178
 
7.5%
Other values (4) 515
21.8%

실적일자2
Categorical

Distinct14
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size18.6 KiB
2015-01-11
186 
2015-01-10
186 
2015-01-09
186 
2015-01-08
186 
2015-01-07
186 
Other values (9)
1429 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2011-12-31
2nd row2011-12-31
3rd row2011-12-31
4th row2011-12-31
5th row2011-12-31

Common Values

ValueCountFrequency (%)
2015-01-11 186
 
7.9%
2015-01-10 186
 
7.9%
2015-01-09 186
 
7.9%
2015-01-08 186
 
7.9%
2015-01-07 186
 
7.9%
2015-01-05 186
 
7.9%
2015-01-04 186
 
7.9%
2015-01-01 186
 
7.9%
2015-05-13 178
 
7.5%
2015-04-30 178
 
7.5%
Other values (4) 515
21.8%

Length

2024-01-10T07:32:02.727941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2015-01-11 186
 
7.9%
2015-01-10 186
 
7.9%
2015-01-09 186
 
7.9%
2015-01-08 186
 
7.9%
2015-01-07 186
 
7.9%
2015-01-05 186
 
7.9%
2015-01-04 186
 
7.9%
2015-01-01 186
 
7.9%
2015-05-13 178
 
7.5%
2015-04-30 178
 
7.5%
Other values (4) 515
21.8%

실적관리번호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.6 KiB
0
2359 

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 2359
100.0%

Length

2024-01-10T07:32:02.817666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:32:02.884566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2359
100.0%
Distinct166
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size18.6 KiB
2024-01-10T07:32:03.052616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length9.175922
Min length2

Characters and Unicode

Total characters21646
Distinct characters185
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.3%

Sample

1st row고소작업운반차
2nd row농용굴삭기
3rd row돌파쇄기
4th row동력경운기
5th row동력분무기
ValueCountFrequency (%)
파종기 50
 
1.8%
잔가지파쇄기(자주형 44
 
1.6%
퇴비살포기(트랙터 44
 
1.6%
자주식 44
 
1.6%
땅속작물수확기(경운기용 44
 
1.6%
탈망기 31
 
1.1%
동력배토기 27
 
1.0%
보행이앙기 27
 
1.0%
휴대용자동전동가위 27
 
1.0%
동력중경제초기 27
 
1.0%
Other values (169) 2341
86.5%
2024-01-10T07:32:03.379669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2318
 
10.7%
) 1301
 
6.0%
( 1301
 
6.0%
550
 
2.5%
525
 
2.4%
498
 
2.3%
485
 
2.2%
388
 
1.8%
347
 
1.6%
340
 
1.6%
Other values (175) 13593
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17691
81.7%
Close Punctuation 1301
 
6.0%
Open Punctuation 1301
 
6.0%
Decimal Number 770
 
3.6%
Space Separator 347
 
1.6%
Lowercase Letter 132
 
0.6%
Math Symbol 88
 
0.4%
Other Punctuation 16
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2318
 
13.1%
550
 
3.1%
525
 
3.0%
498
 
2.8%
485
 
2.7%
388
 
2.2%
340
 
1.9%
321
 
1.8%
269
 
1.5%
269
 
1.5%
Other values (160) 11728
66.3%
Decimal Number
ValueCountFrequency (%)
5 176
22.9%
8 110
14.3%
2 110
14.3%
0 110
14.3%
4 66
 
8.6%
3 66
 
8.6%
7 44
 
5.7%
1 44
 
5.7%
6 44
 
5.7%
Close Punctuation
ValueCountFrequency (%)
) 1301
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1301
100.0%
Space Separator
ValueCountFrequency (%)
347
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 132
100.0%
Math Symbol
ValueCountFrequency (%)
~ 88
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17691
81.7%
Common 3823
 
17.7%
Latin 132
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2318
 
13.1%
550
 
3.1%
525
 
3.0%
498
 
2.8%
485
 
2.7%
388
 
2.2%
340
 
1.9%
321
 
1.8%
269
 
1.5%
269
 
1.5%
Other values (160) 11728
66.3%
Common
ValueCountFrequency (%)
) 1301
34.0%
( 1301
34.0%
347
 
9.1%
5 176
 
4.6%
8 110
 
2.9%
2 110
 
2.9%
0 110
 
2.9%
~ 88
 
2.3%
4 66
 
1.7%
3 66
 
1.7%
Other values (4) 148
 
3.9%
Latin
ValueCountFrequency (%)
m 132
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17691
81.7%
ASCII 3955
 
18.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2318
 
13.1%
550
 
3.1%
525
 
3.0%
498
 
2.8%
485
 
2.7%
388
 
2.2%
340
 
1.9%
321
 
1.8%
269
 
1.5%
269
 
1.5%
Other values (160) 11728
66.3%
ASCII
ValueCountFrequency (%)
) 1301
32.9%
( 1301
32.9%
347
 
8.8%
5 176
 
4.5%
m 132
 
3.3%
8 110
 
2.8%
2 110
 
2.8%
0 110
 
2.8%
~ 88
 
2.2%
4 66
 
1.7%
Other values (5) 214
 
5.4%

기종대수
Real number (ℝ)

Distinct29
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1907588
Minimum1
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-01-10T07:32:03.715954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q36
95-th percentile19.1
Maximum57
Range56
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.4045864
Coefficient of variation (CV)1.233844
Kurtosis16.260458
Mean5.1907588
Median Absolute Deviation (MAD)2
Skewness3.4318367
Sum12245
Variance41.018727
MonotonicityNot monotonic
2024-01-10T07:32:03.815030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2 728
30.9%
1 403
17.1%
4 271
 
11.5%
5 180
 
7.6%
3 161
 
6.8%
6 120
 
5.1%
10 78
 
3.3%
7 68
 
2.9%
8 57
 
2.4%
14 49
 
2.1%
Other values (19) 244
 
10.3%
ValueCountFrequency (%)
1 403
17.1%
2 728
30.9%
3 161
 
6.8%
4 271
 
11.5%
5 180
 
7.6%
6 120
 
5.1%
7 68
 
2.9%
8 57
 
2.4%
9 22
 
0.9%
10 78
 
3.3%
ValueCountFrequency (%)
57 4
 
0.2%
53 2
 
0.1%
49 2
 
0.1%
37 6
 
0.3%
35 16
0.7%
31 2
 
0.1%
28 10
 
0.4%
27 4
 
0.2%
25 6
 
0.3%
22 26
1.1%

현재수량1
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.35481136
Minimum0
Maximum73
Zeros2240
Zeros (%)95.0%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-01-10T07:32:03.943025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum73
Range73
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.9381541
Coefficient of variation (CV)8.2808906
Kurtosis316.75937
Mean0.35481136
Median Absolute Deviation (MAD)0
Skewness15.827392
Sum837
Variance8.6327493
MonotonicityNot monotonic
2024-01-10T07:32:04.047085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 2240
95.0%
1 34
 
1.4%
4 17
 
0.7%
2 14
 
0.6%
5 9
 
0.4%
3 8
 
0.3%
6 6
 
0.3%
8 5
 
0.2%
9 3
 
0.1%
7 3
 
0.1%
Other values (17) 20
 
0.8%
ValueCountFrequency (%)
0 2240
95.0%
1 34
 
1.4%
2 14
 
0.6%
3 8
 
0.3%
4 17
 
0.7%
5 9
 
0.4%
6 6
 
0.3%
7 3
 
0.1%
8 5
 
0.2%
9 3
 
0.1%
ValueCountFrequency (%)
73 1
< 0.1%
67 1
< 0.1%
44 1
< 0.1%
36 1
< 0.1%
32 1
< 0.1%
29 1
< 0.1%
27 1
< 0.1%
23 1
< 0.1%
21 1
< 0.1%
18 1
< 0.1%

누적수량1
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2738448
Minimum0
Maximum209
Zeros1994
Zeros (%)84.5%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-01-10T07:32:04.165247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12.1
Maximum209
Range209
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.114591
Coefficient of variation (CV)4.4482329
Kurtosis109.85441
Mean2.2738448
Median Absolute Deviation (MAD)0
Skewness8.6212045
Sum5364
Variance102.30496
MonotonicityNot monotonic
2024-01-10T07:32:04.273899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1994
84.5%
1 50
 
2.1%
2 39
 
1.7%
3 32
 
1.4%
5 22
 
0.9%
4 22
 
0.9%
8 19
 
0.8%
10 17
 
0.7%
7 15
 
0.6%
6 13
 
0.6%
Other values (43) 136
 
5.8%
ValueCountFrequency (%)
0 1994
84.5%
1 50
 
2.1%
2 39
 
1.7%
3 32
 
1.4%
4 22
 
0.9%
5 22
 
0.9%
6 13
 
0.6%
7 15
 
0.6%
8 19
 
0.8%
9 4
 
0.2%
ValueCountFrequency (%)
209 1
 
< 0.1%
117 1
 
< 0.1%
99 1
 
< 0.1%
96 2
0.1%
91 3
0.1%
84 1
 
< 0.1%
81 1
 
< 0.1%
78 1
 
< 0.1%
69 4
0.2%
68 1
 
< 0.1%

현재수량2
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.35481136
Minimum0
Maximum73
Zeros2240
Zeros (%)95.0%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-01-10T07:32:04.397654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum73
Range73
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.9381541
Coefficient of variation (CV)8.2808906
Kurtosis316.75937
Mean0.35481136
Median Absolute Deviation (MAD)0
Skewness15.827392
Sum837
Variance8.6327493
MonotonicityNot monotonic
2024-01-10T07:32:04.526745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 2240
95.0%
1 34
 
1.4%
4 17
 
0.7%
2 14
 
0.6%
5 9
 
0.4%
3 8
 
0.3%
6 6
 
0.3%
8 5
 
0.2%
9 3
 
0.1%
7 3
 
0.1%
Other values (17) 20
 
0.8%
ValueCountFrequency (%)
0 2240
95.0%
1 34
 
1.4%
2 14
 
0.6%
3 8
 
0.3%
4 17
 
0.7%
5 9
 
0.4%
6 6
 
0.3%
7 3
 
0.1%
8 5
 
0.2%
9 3
 
0.1%
ValueCountFrequency (%)
73 1
< 0.1%
67 1
< 0.1%
44 1
< 0.1%
36 1
< 0.1%
32 1
< 0.1%
29 1
< 0.1%
27 1
< 0.1%
23 1
< 0.1%
21 1
< 0.1%
18 1
< 0.1%

누적수량2
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2738448
Minimum0
Maximum209
Zeros1994
Zeros (%)84.5%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-01-10T07:32:04.673358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12.1
Maximum209
Range209
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.114591
Coefficient of variation (CV)4.4482329
Kurtosis109.85441
Mean2.2738448
Median Absolute Deviation (MAD)0
Skewness8.6212045
Sum5364
Variance102.30496
MonotonicityNot monotonic
2024-01-10T07:32:04.817079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1994
84.5%
1 50
 
2.1%
2 39
 
1.7%
3 32
 
1.4%
5 22
 
0.9%
4 22
 
0.9%
8 19
 
0.8%
10 17
 
0.7%
7 15
 
0.6%
6 13
 
0.6%
Other values (43) 136
 
5.8%
ValueCountFrequency (%)
0 1994
84.5%
1 50
 
2.1%
2 39
 
1.7%
3 32
 
1.4%
4 22
 
0.9%
5 22
 
0.9%
6 13
 
0.6%
7 15
 
0.6%
8 19
 
0.8%
9 4
 
0.2%
ValueCountFrequency (%)
209 1
 
< 0.1%
117 1
 
< 0.1%
99 1
 
< 0.1%
96 2
0.1%
91 3
0.1%
84 1
 
< 0.1%
81 1
 
< 0.1%
78 1
 
< 0.1%
69 4
0.2%
68 1
 
< 0.1%

현재수량3
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.35481136
Minimum0
Maximum73
Zeros2240
Zeros (%)95.0%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-01-10T07:32:04.945076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum73
Range73
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.9381541
Coefficient of variation (CV)8.2808906
Kurtosis316.75937
Mean0.35481136
Median Absolute Deviation (MAD)0
Skewness15.827392
Sum837
Variance8.6327493
MonotonicityNot monotonic
2024-01-10T07:32:05.074277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 2240
95.0%
1 34
 
1.4%
4 17
 
0.7%
2 14
 
0.6%
5 9
 
0.4%
3 8
 
0.3%
6 6
 
0.3%
8 5
 
0.2%
9 3
 
0.1%
7 3
 
0.1%
Other values (17) 20
 
0.8%
ValueCountFrequency (%)
0 2240
95.0%
1 34
 
1.4%
2 14
 
0.6%
3 8
 
0.3%
4 17
 
0.7%
5 9
 
0.4%
6 6
 
0.3%
7 3
 
0.1%
8 5
 
0.2%
9 3
 
0.1%
ValueCountFrequency (%)
73 1
< 0.1%
67 1
< 0.1%
44 1
< 0.1%
36 1
< 0.1%
32 1
< 0.1%
29 1
< 0.1%
27 1
< 0.1%
23 1
< 0.1%
21 1
< 0.1%
18 1
< 0.1%

누적수량3
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2738448
Minimum0
Maximum209
Zeros1994
Zeros (%)84.5%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-01-10T07:32:05.223371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12.1
Maximum209
Range209
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.114591
Coefficient of variation (CV)4.4482329
Kurtosis109.85441
Mean2.2738448
Median Absolute Deviation (MAD)0
Skewness8.6212045
Sum5364
Variance102.30496
MonotonicityNot monotonic
2024-01-10T07:32:05.346562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1994
84.5%
1 50
 
2.1%
2 39
 
1.7%
3 32
 
1.4%
5 22
 
0.9%
4 22
 
0.9%
8 19
 
0.8%
10 17
 
0.7%
7 15
 
0.6%
6 13
 
0.6%
Other values (43) 136
 
5.8%
ValueCountFrequency (%)
0 1994
84.5%
1 50
 
2.1%
2 39
 
1.7%
3 32
 
1.4%
4 22
 
0.9%
5 22
 
0.9%
6 13
 
0.6%
7 15
 
0.6%
8 19
 
0.8%
9 4
 
0.2%
ValueCountFrequency (%)
209 1
 
< 0.1%
117 1
 
< 0.1%
99 1
 
< 0.1%
96 2
0.1%
91 3
0.1%
84 1
 
< 0.1%
81 1
 
< 0.1%
78 1
 
< 0.1%
69 4
0.2%
68 1
 
< 0.1%

현재수량4
Real number (ℝ)

SKEWED  ZEROS 

Distinct71
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean906.30988
Minimum0
Maximum541028
Zeros2240
Zeros (%)95.0%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-01-10T07:32:05.453451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile364
Maximum541028
Range541028
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12874.79
Coefficient of variation (CV)14.205727
Kurtosis1360.4493
Mean906.30988
Median Absolute Deviation (MAD)0
Skewness34.232989
Sum2137985
Variance1.6576022 × 108
MonotonicityNot monotonic
2024-01-10T07:32:05.564188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2240
95.0%
661 13
 
0.6%
992 12
 
0.5%
1983 4
 
0.2%
3968 4
 
0.2%
2976 4
 
0.2%
1653 3
 
0.1%
1322 3
 
0.1%
8928 3
 
0.1%
1984 3
 
0.1%
Other values (61) 70
 
3.0%
ValueCountFrequency (%)
0 2240
95.0%
331 1
 
< 0.1%
661 13
 
0.6%
992 12
 
0.5%
1322 3
 
0.1%
1653 3
 
0.1%
1983 4
 
0.2%
1984 3
 
0.1%
2084 1
 
< 0.1%
2314 2
 
0.1%
ValueCountFrequency (%)
541028 1
< 0.1%
232728 1
< 0.1%
74068 1
< 0.1%
71880 1
< 0.1%
65082 1
< 0.1%
57840 1
< 0.1%
54612 1
< 0.1%
50909 1
< 0.1%
49587 1
< 0.1%
44629 1
< 0.1%

누적수량4
Real number (ℝ)

SKEWED  ZEROS 

Distinct186
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13841.677
Minimum0
Maximum13060200
Zeros1994
Zeros (%)84.5%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-01-10T07:32:05.677748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile15027.7
Maximum13060200
Range13060200
Interquartile range (IQR)0

Descriptive statistics

Standard deviation380076.81
Coefficient of variation (CV)27.458869
Kurtosis1172.7806
Mean13841.677
Median Absolute Deviation (MAD)0
Skewness34.231193
Sum32652517
Variance1.4445838 × 1011
MonotonicityNot monotonic
2024-01-10T07:32:05.803593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1994
84.5%
661 21
 
0.9%
992 14
 
0.6%
1653 12
 
0.5%
2976 12
 
0.5%
1322 11
 
0.5%
1983 8
 
0.3%
7936 8
 
0.3%
6944 8
 
0.3%
3306 7
 
0.3%
Other values (176) 264
 
11.2%
ValueCountFrequency (%)
0 1994
84.5%
165 2
 
0.1%
331 3
 
0.1%
496 2
 
0.1%
661 21
 
0.9%
662 2
 
0.1%
992 14
 
0.6%
1058 3
 
0.1%
1322 11
 
0.5%
1323 1
 
< 0.1%
ValueCountFrequency (%)
13060200 1
< 0.1%
13034100 1
< 0.1%
541028 1
< 0.1%
232728 1
< 0.1%
179197 1
< 0.1%
157668 1
< 0.1%
116689 1
< 0.1%
101501 1
< 0.1%
91404 1
< 0.1%
84980 1
< 0.1%

현재수량5
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.50148368
Minimum0
Maximum95
Zeros2240
Zeros (%)95.0%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-01-10T07:32:05.906679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum95
Range95
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.9805371
Coefficient of variation (CV)7.9375207
Kurtosis290.23115
Mean0.50148368
Median Absolute Deviation (MAD)0
Skewness14.938266
Sum1183
Variance15.844675
MonotonicityNot monotonic
2024-01-10T07:32:06.001585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 2240
95.0%
1 24
 
1.0%
4 15
 
0.6%
2 14
 
0.6%
6 7
 
0.3%
3 6
 
0.3%
5 6
 
0.3%
7 6
 
0.3%
13 5
 
0.2%
9 4
 
0.2%
Other values (20) 32
 
1.4%
ValueCountFrequency (%)
0 2240
95.0%
1 24
 
1.0%
2 14
 
0.6%
3 6
 
0.3%
4 15
 
0.6%
5 6
 
0.3%
6 7
 
0.3%
7 6
 
0.3%
8 4
 
0.2%
9 4
 
0.2%
ValueCountFrequency (%)
95 1
 
< 0.1%
92 1
 
< 0.1%
55 1
 
< 0.1%
47 1
 
< 0.1%
39 1
 
< 0.1%
38 1
 
< 0.1%
31 1
 
< 0.1%
30 1
 
< 0.1%
28 1
 
< 0.1%
27 3
0.1%

누적수량5
Real number (ℝ)

ZEROS 

Distinct74
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1072488
Minimum0
Maximum245
Zeros1994
Zeros (%)84.5%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-01-10T07:32:06.111730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile17.1
Maximum245
Range245
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.312004
Coefficient of variation (CV)4.2841769
Kurtosis81.530803
Mean3.1072488
Median Absolute Deviation (MAD)0
Skewness7.6052591
Sum7330
Variance177.20944
MonotonicityNot monotonic
2024-01-10T07:32:06.251599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1994
84.5%
1 41
 
1.7%
3 29
 
1.2%
2 27
 
1.1%
5 21
 
0.9%
4 18
 
0.8%
6 16
 
0.7%
8 16
 
0.7%
7 14
 
0.6%
11 12
 
0.5%
Other values (64) 171
 
7.2%
ValueCountFrequency (%)
0 1994
84.5%
1 41
 
1.7%
2 27
 
1.1%
3 29
 
1.2%
4 18
 
0.8%
5 21
 
0.9%
6 16
 
0.7%
7 14
 
0.6%
8 16
 
0.7%
9 6
 
0.3%
ValueCountFrequency (%)
245 1
< 0.1%
143 1
< 0.1%
134 1
< 0.1%
132 1
< 0.1%
129 1
< 0.1%
120 2
0.1%
117 1
< 0.1%
114 1
< 0.1%
104 1
< 0.1%
98 1
< 0.1%

기종구분
Categorical

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size18.6 KiB
밭농사용
846 
겸용
617 
벼농사용
458 
원예용
203 
관리용
 
77
Other values (3)
158 

Length

Max length6
Median length4
Mean length3.3972022
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
밭농사용 846
35.9%
겸용 617
26.2%
벼농사용 458
19.4%
원예용 203
 
8.6%
관리용 77
 
3.3%
논+밭농사용 70
 
3.0%
논농사용 64
 
2.7%
기타 24
 
1.0%

Length

2024-01-10T07:32:06.375037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:32:06.475396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
밭농사용 846
35.9%
겸용 617
26.2%
벼농사용 458
19.4%
원예용 203
 
8.6%
관리용 77
 
3.3%
논+밭농사용 70
 
3.0%
논농사용 64
 
2.7%
기타 24
 
1.0%

현재수량6
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.54429843
Minimum0
Maximum79
Zeros2240
Zeros (%)95.0%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-01-10T07:32:06.579072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum79
Range79
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.055861
Coefficient of variation (CV)7.4515391
Kurtosis189.09349
Mean0.54429843
Median Absolute Deviation (MAD)0
Skewness12.423133
Sum1284
Variance16.450009
MonotonicityNot monotonic
2024-01-10T07:32:06.686186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 2240
95.0%
1 21
 
0.9%
2 14
 
0.6%
3 13
 
0.6%
7 9
 
0.4%
4 8
 
0.3%
8 7
 
0.3%
16 5
 
0.2%
14 5
 
0.2%
6 4
 
0.2%
Other values (21) 33
 
1.4%
ValueCountFrequency (%)
0 2240
95.0%
1 21
 
0.9%
2 14
 
0.6%
3 13
 
0.6%
4 8
 
0.3%
5 1
 
< 0.1%
6 4
 
0.2%
7 9
 
0.4%
8 7
 
0.3%
9 2
 
0.1%
ValueCountFrequency (%)
79 1
< 0.1%
74 1
< 0.1%
70 1
< 0.1%
63 1
< 0.1%
47 2
0.1%
35 1
< 0.1%
33 1
< 0.1%
31 1
< 0.1%
29 2
0.1%
26 1
< 0.1%

현재수량61
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.31496397
Minimum0
Maximum69
Zeros2240
Zeros (%)95.0%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-01-10T07:32:06.787879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum69
Range69
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.6683345
Coefficient of variation (CV)8.4718724
Kurtosis340.44586
Mean0.31496397
Median Absolute Deviation (MAD)0
Skewness16.394215
Sum743
Variance7.1200092
MonotonicityNot monotonic
2024-01-10T07:32:06.885547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 2240
95.0%
1 37
 
1.6%
2 17
 
0.7%
3 14
 
0.6%
4 12
 
0.5%
7 7
 
0.3%
5 6
 
0.3%
6 4
 
0.2%
16 4
 
0.2%
14 3
 
0.1%
Other values (12) 15
 
0.6%
ValueCountFrequency (%)
0 2240
95.0%
1 37
 
1.6%
2 17
 
0.7%
3 14
 
0.6%
4 12
 
0.5%
5 6
 
0.3%
6 4
 
0.2%
7 7
 
0.3%
8 3
 
0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
69 1
 
< 0.1%
61 1
 
< 0.1%
37 1
 
< 0.1%
31 2
0.1%
27 1
 
< 0.1%
25 1
 
< 0.1%
21 1
 
< 0.1%
17 1
 
< 0.1%
16 4
0.2%
14 3
0.1%

누적수량6
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2992794
Minimum0
Maximum124
Zeros2098
Zeros (%)88.9%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-01-10T07:32:06.992538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum124
Range124
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.466745
Coefficient of variation (CV)4.9771783
Kurtosis111.98696
Mean1.2992794
Median Absolute Deviation (MAD)0
Skewness9.1659698
Sum3065
Variance41.818791
MonotonicityNot monotonic
2024-01-10T07:32:07.107841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 2098
88.9%
2 34
 
1.4%
1 33
 
1.4%
3 25
 
1.1%
7 18
 
0.8%
10 18
 
0.8%
4 15
 
0.6%
9 14
 
0.6%
8 11
 
0.5%
13 8
 
0.3%
Other values (35) 85
 
3.6%
ValueCountFrequency (%)
0 2098
88.9%
1 33
 
1.4%
2 34
 
1.4%
3 25
 
1.1%
4 15
 
0.6%
5 4
 
0.2%
6 8
 
0.3%
7 18
 
0.8%
8 11
 
0.5%
9 14
 
0.6%
ValueCountFrequency (%)
124 1
 
< 0.1%
82 1
 
< 0.1%
80 1
 
< 0.1%
79 1
 
< 0.1%
74 1
 
< 0.1%
69 1
 
< 0.1%
63 1
 
< 0.1%
56 1
 
< 0.1%
55 3
0.1%
52 1
 
< 0.1%

현재수량7
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4314.5401
Minimum0
Maximum758000
Zeros2241
Zeros (%)95.0%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-01-10T07:32:07.219609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile400
Maximum758000
Range758000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation34644.827
Coefficient of variation (CV)8.0297845
Kurtosis250.13773
Mean4314.5401
Median Absolute Deviation (MAD)0
Skewness14.247086
Sum10178000
Variance1.200264 × 109
MonotonicityNot monotonic
2024-01-10T07:32:07.347195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2241
95.0%
6000 13
 
0.6%
30000 10
 
0.4%
24000 8
 
0.3%
32000 6
 
0.3%
16000 6
 
0.3%
48000 6
 
0.3%
15000 5
 
0.2%
12000 4
 
0.2%
60000 3
 
0.1%
Other values (43) 57
 
2.4%
ValueCountFrequency (%)
0 2241
95.0%
4000 1
 
< 0.1%
6000 13
 
0.6%
12000 4
 
0.2%
15000 5
 
0.2%
16000 6
 
0.3%
18000 2
 
0.1%
24000 8
 
0.3%
28000 1
 
< 0.1%
30000 10
 
0.4%
ValueCountFrequency (%)
758000 1
< 0.1%
736000 1
< 0.1%
585000 1
< 0.1%
485000 1
< 0.1%
450000 1
< 0.1%
330000 1
< 0.1%
282000 1
< 0.1%
280000 1
< 0.1%
240000 1
< 0.1%
234000 1
< 0.1%

누적수량7
Real number (ℝ)

ZEROS 

Distinct123
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32196.27
Minimum0
Maximum4320000
Zeros1995
Zeros (%)84.6%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-01-10T07:32:07.468364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile175000
Maximum4320000
Range4320000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation176801.3
Coefficient of variation (CV)5.4913599
Kurtosis246.05632
Mean32196.27
Median Absolute Deviation (MAD)0
Skewness13.380173
Sum75951000
Variance3.1258701 × 1010
MonotonicityNot monotonic
2024-01-10T07:32:07.818492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1995
84.6%
18000 19
 
0.8%
30000 15
 
0.6%
15000 14
 
0.6%
6000 13
 
0.6%
48000 13
 
0.6%
12000 10
 
0.4%
24000 8
 
0.3%
90000 8
 
0.3%
45000 8
 
0.3%
Other values (113) 256
 
10.9%
ValueCountFrequency (%)
0 1995
84.6%
4000 3
 
0.1%
6000 13
 
0.6%
8000 4
 
0.2%
12000 10
 
0.4%
14000 2
 
0.1%
15000 14
 
0.6%
16000 7
 
0.3%
18000 19
 
0.8%
22000 1
 
< 0.1%
ValueCountFrequency (%)
4320000 1
< 0.1%
3420000 1
< 0.1%
2610000 1
< 0.1%
2070000 2
0.1%
1467000 1
< 0.1%
1400000 1
< 0.1%
1395000 2
0.1%
1267000 1
< 0.1%
1144000 1
< 0.1%
1014000 1
< 0.1%

현재수량8
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.6 KiB
0
2359 

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 2359
100.0%

Length

2024-01-10T07:32:07.919507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:32:07.991745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2359
100.0%

누적수량8
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.6 KiB
0
2359 

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 2359
100.0%

Length

2024-01-10T07:32:08.063931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:32:08.133339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2359
100.0%

현재수량9
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.421365
Minimum0
Maximum630
Zeros650
Zeros (%)27.6%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-01-10T07:32:08.206702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q39
95-th percentile630
Maximum630
Range630
Interquartile range (IQR)9

Descriptive statistics

Standard deviation213.44379
Coefficient of variation (CV)2.2368554
Kurtosis1.862793
Mean95.421365
Median Absolute Deviation (MAD)3
Skewness1.951707
Sum225099
Variance45558.253
MonotonicityNot monotonic
2024-01-10T07:32:08.292850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 650
27.6%
9 186
 
7.9%
8 186
 
7.9%
7 186
 
7.9%
5 186
 
7.9%
3 186
 
7.9%
2 186
 
7.9%
1 186
 
7.9%
630 178
 
7.5%
572 176
 
7.5%
ValueCountFrequency (%)
0 650
27.6%
1 186
 
7.9%
2 186
 
7.9%
3 186
 
7.9%
5 186
 
7.9%
7 186
 
7.9%
8 186
 
7.9%
9 186
 
7.9%
109 53
 
2.2%
572 176
 
7.5%
ValueCountFrequency (%)
630 178
7.5%
572 176
7.5%
109 53
 
2.2%
9 186
7.9%
8 186
7.9%
7 186
7.9%
5 186
7.9%
3 186
7.9%
2 186
7.9%
1 186
7.9%

현재수량91
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.104281
Minimum0
Maximum385
Zeros650
Zeros (%)27.6%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-01-10T07:32:08.380324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile385
Maximum385
Range385
Interquartile range (IQR)2

Descriptive statistics

Standard deviation101.84118
Coefficient of variation (CV)3.0763748
Kurtosis7.7996999
Mean33.104281
Median Absolute Deviation (MAD)1
Skewness3.0991584
Sum78093
Variance10371.625
MonotonicityNot monotonic
2024-01-10T07:32:08.470532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 930
39.4%
0 650
27.6%
2 372
 
15.8%
385 178
 
7.5%
12 176
 
7.5%
109 53
 
2.2%
ValueCountFrequency (%)
0 650
27.6%
1 930
39.4%
2 372
 
15.8%
12 176
 
7.5%
109 53
 
2.2%
385 178
 
7.5%
ValueCountFrequency (%)
385 178
 
7.5%
109 53
 
2.2%
12 176
 
7.5%
2 372
 
15.8%
1 930
39.4%
0 650
27.6%

누적수량9
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.969479
Minimum0
Maximum567
Zeros889
Zeros (%)37.7%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2024-01-10T07:32:08.556217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile567
Maximum567
Range567
Interquartile range (IQR)7

Descriptive statistics

Standard deviation170.11174
Coefficient of variation (CV)2.363665
Kurtosis3.0619035
Mean71.969479
Median Absolute Deviation (MAD)2
Skewness2.1725645
Sum169776
Variance28938.004
MonotonicityNot monotonic
2024-01-10T07:32:08.635075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 889
37.7%
8 186
 
7.9%
7 186
 
7.9%
5 186
 
7.9%
3 186
 
7.9%
2 186
 
7.9%
1 186
 
7.9%
366 178
 
7.5%
567 176
 
7.5%
ValueCountFrequency (%)
0 889
37.7%
1 186
 
7.9%
2 186
 
7.9%
3 186
 
7.9%
5 186
 
7.9%
7 186
 
7.9%
8 186
 
7.9%
366 178
 
7.5%
567 176
 
7.5%
ValueCountFrequency (%)
567 176
 
7.5%
366 178
 
7.5%
8 186
 
7.9%
7 186
 
7.9%
5 186
 
7.9%
3 186
 
7.9%
2 186
 
7.9%
1 186
 
7.9%
0 889
37.7%
Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size18.6 KiB
본소
1664 
임대사업
409 
이미숙
 
146
천지숙
 
140

Length

Max length4
Median length2
Mean length2.4679949
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
본소 1664
70.5%
임대사업 409
 
17.3%
이미숙 146
 
6.2%
천지숙 140
 
5.9%

Length

2024-01-10T07:32:08.747294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:32:08.838816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
본소 1664
70.5%
임대사업 409
 
17.3%
이미숙 146
 
6.2%
천지숙 140
 
5.9%

임대사업장
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.6 KiB
농업기술센터
1206 
동부지소
1153 

Length

Max length6
Median length6
Mean length5.0224671
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
농업기술센터 1206
51.1%
동부지소 1153
48.9%

Length

2024-01-10T07:32:08.935785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:32:09.034448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농업기술센터 1206
51.1%
동부지소 1153
48.9%

장비구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.6 KiB
농업기술센터
2359 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
농업기술센터 2359
100.0%

Length

2024-01-10T07:32:09.134031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:32:09.206383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농업기술센터 2359
100.0%

비고
Text

Distinct68
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size18.6 KiB
2024-01-10T07:32:09.368979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.4849513
Min length2

Characters and Unicode

Total characters5862
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row\N
2nd row\N
3rd row\N
4th row\N
5th row\N
ValueCountFrequency (%)
n 2073
87.9%
001-54 12
 
0.5%
109-00 8
 
0.3%
075-00 8
 
0.3%
001-51 8
 
0.3%
129-00 8
 
0.3%
007-01 4
 
0.2%
007-27 4
 
0.2%
001-13 4
 
0.2%
001-04 4
 
0.2%
Other values (58) 226
 
9.6%
2024-01-10T07:32:09.684548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
\ 2073
35.4%
N 2073
35.4%
0 724
 
12.4%
- 286
 
4.9%
1 206
 
3.5%
2 104
 
1.8%
7 90
 
1.5%
5 80
 
1.4%
4 60
 
1.0%
6 48
 
0.8%
Other values (3) 118
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 2073
35.4%
Uppercase Letter 2073
35.4%
Decimal Number 1430
24.4%
Dash Punctuation 286
 
4.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 724
50.6%
1 206
 
14.4%
2 104
 
7.3%
7 90
 
6.3%
5 80
 
5.6%
4 60
 
4.2%
6 48
 
3.4%
9 44
 
3.1%
3 44
 
3.1%
8 30
 
2.1%
Other Punctuation
ValueCountFrequency (%)
\ 2073
100.0%
Uppercase Letter
ValueCountFrequency (%)
N 2073
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 286
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3789
64.6%
Latin 2073
35.4%

Most frequent character per script

Common
ValueCountFrequency (%)
\ 2073
54.7%
0 724
 
19.1%
- 286
 
7.5%
1 206
 
5.4%
2 104
 
2.7%
7 90
 
2.4%
5 80
 
2.1%
4 60
 
1.6%
6 48
 
1.3%
9 44
 
1.2%
Other values (2) 74
 
2.0%
Latin
ValueCountFrequency (%)
N 2073
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5862
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
\ 2073
35.4%
N 2073
35.4%
0 724
 
12.4%
- 286
 
4.9%
1 206
 
3.5%
2 104
 
1.8%
7 90
 
1.5%
5 80
 
1.4%
4 60
 
1.0%
6 48
 
0.8%
Other values (3) 118
 
2.0%

Sample

순번테이블관리번호실적일자실적일자2실적관리번호실적명기종대수현재수량1누적수량1현재수량2누적수량2현재수량3누적수량3현재수량4누적수량4현재수량5누적수량5기종구분현재수량6현재수량61누적수량6현재수량7누적수량7현재수량8누적수량8현재수량9현재수량91누적수량9사용자아이디임대사업장장비구분비고
014782011-01-012011-12-310고소작업운반차10000000000겸용00000001091090임대사업농업기술센터농업기술센터\N
124792011-01-012011-12-310농용굴삭기277777731737317371414겸용770485000485000001091090임대사업농업기술센터농업기술센터\N
234802011-01-012011-12-310돌파쇄기20000000000겸용00000001091090임대사업농업기술센터농업기술센터\N
344812011-01-012011-12-310동력경운기32222222645264544겸용1101600016000001091090임대사업농업기술센터농업기술센터\N
454822011-01-012011-12-310동력분무기100000000000겸용00000001091090임대사업농업기술센터농업기술센터\N
564832011-01-012011-12-310동력예취기22222224958495844겸용2202400024000001091090임대사업농업기술센터농업기술센터\N
674842011-01-012011-12-310동력운반차32222223306330622겸용2201600016000001091090임대사업농업기술센터농업기술센터\N
784852011-01-012011-12-310동력제초기40000000000겸용00000001091090임대사업농업기술센터농업기술센터\N
894862011-01-012011-12-310동력파종기311111199299211겸용11060006000001091090임대사업농업기술센터농업기술센터\N
9104872011-01-012011-12-310목재파쇄기333333349587495871414겸용11000001091090임대사업농업기술센터농업기술센터\N
순번테이블관리번호실적일자실적일자2실적관리번호실적명기종대수현재수량1누적수량1현재수량2누적수량2현재수량3누적수량3현재수량4누적수량4현재수량5누적수량5기종구분현재수량6현재수량61누적수량6현재수량7누적수량7현재수량8누적수량8현재수량9현재수량91누적수량9사용자아이디임대사업장장비구분비고
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