Overview

Dataset statistics

Number of variables28
Number of observations763
Missing cells56
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory173.0 KiB
Average record size in memory232.2 B

Variable types

Categorical14
Text4
Numeric7
DateTime3

Dataset

Description년산,지원명,기관명,작물명,품종명,신청차수,시작일,종료일,시퀀스값,발지,착지,양,포대종류,포대수,수송량,수송일자,수송방법,작업임,지체사유,지체여부,비고,수송거리,수송계획량 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15066193/fileData.do

Alerts

수송방법 has constant value ""Constant
포대종류 is highly imbalanced (61.9%)Imbalance
발지_읍면동 has 28 (3.7%) missing valuesMissing
착지_읍면동 has 28 (3.7%) missing valuesMissing
시퀀스값 has unique valuesUnique
양 has 31 (4.1%) zerosZeros
포대수 has 15 (2.0%) zerosZeros
수송거리 has 77 (10.1%) zerosZeros
수송계획량 has 63 (8.3%) zerosZeros

Reproduction

Analysis started2023-12-12 17:46:37.814603
Analysis finished2023-12-12 17:46:38.917988
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년산
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2020
266 
2021
249 
2022
248 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2020 266
34.9%
2021 249
32.6%
2022 248
32.5%

Length

2023-12-13T02:46:38.986764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:46:39.123655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 266
34.9%
2021 249
32.6%
2022 248
32.5%

지원명
Categorical

Distinct7
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
전북지원
159 
경북지원
140 
전남지원
130 
충남지원
117 
강원지원
98 
Other values (2)
119 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전북지원 159
20.8%
경북지원 140
18.3%
전남지원 130
17.0%
충남지원 117
15.3%
강원지원 98
12.8%
경남지원 64
8.4%
충북지원 55
 
7.2%

Length

2023-12-13T02:46:39.282607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:46:39.420758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전북지원 159
20.8%
경북지원 140
18.3%
전남지원 130
17.0%
충남지원 117
15.3%
강원지원 98
12.8%
경남지원 64
8.4%
충북지원 55
 
7.2%

기관명
Text

Distinct202
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2023-12-13T02:46:39.932801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length2
Mean length2.3656619
Min length2

Characters and Unicode

Total characters1805
Distinct characters161
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)2.2%

Sample

1st row추동
2nd row추동
3rd row원곡
4th row축동
5th row용대
ValueCountFrequency (%)
대죽 14
 
1.8%
왕태 14
 
1.8%
공음 13
 
1.6%
신전 11
 
1.4%
내포 10
 
1.3%
두곡 10
 
1.3%
철원 10
 
1.3%
오미2 10
 
1.3%
매곡 10
 
1.3%
한어 10
 
1.3%
Other values (202) 684
85.9%
2023-12-13T02:46:40.658348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 67
 
3.7%
66
 
3.7%
곡 54
 
3.0%
대 50
 
2.8%
동 46
 
2.5%
지 46
 
2.5%
두 42
 
2.3%
신 39
 
2.2%
포 35
 
1.9%
단 32
 
1.8%
Other values (151) 1328
73.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1692
93.7%
Space Separator 66
 
3.7%
Decimal Number 23
 
1.3%
Open Punctuation 12
 
0.7%
Close Punctuation 12
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 67
 
4.0%
곡 54
 
3.2%
대 50
 
3.0%
동 46
 
2.7%
지 46
 
2.7%
두 42
 
2.5%
신 39
 
2.3%
포 35
 
2.1%
단 32
 
1.9%
화 32
 
1.9%
Other values (146) 1249
73.8%
Decimal Number
ValueCountFrequency (%)
2 13
56.5%
1 10
43.5%
Space Separator
ValueCountFrequency (%)
66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1692
93.7%
Common 113
 
6.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 67
 
4.0%
곡 54
 
3.2%
대 50
 
3.0%
동 46
 
2.7%
지 46
 
2.7%
두 42
 
2.5%
신 39
 
2.3%
포 35
 
2.1%
단 32
 
1.9%
화 32
 
1.9%
Other values (146) 1249
73.8%
Common
ValueCountFrequency (%)
66
58.4%
2 13
 
11.5%
( 12
 
10.6%
) 12
 
10.6%
1 10
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1692
93.7%
ASCII 113
 
6.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 67
 
4.0%
곡 54
 
3.2%
대 50
 
3.0%
동 46
 
2.7%
지 46
 
2.7%
두 42
 
2.5%
신 39
 
2.3%
포 35
 
2.1%
단 32
 
1.9%
화 32
 
1.9%
Other values (146) 1249
73.8%
ASCII
ValueCountFrequency (%)
66
58.4%
2 13
 
11.5%
( 12
 
10.6%
) 12
 
10.6%
1 10
 
8.8%

작물명
Categorical

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
벼
467 
콩
170 
보리
68 
밀
47 
팥
 
6

Length

Max length2
Median length1
Mean length1.095675
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
벼 467
61.2%
콩 170
 
22.3%
보리 68
 
8.9%
밀 47
 
6.2%
팥 6
 
0.8%
호밀 5
 
0.7%

Length

2023-12-13T02:46:40.823761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:46:40.957726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
벼 467
61.2%
콩 170
 
22.3%
보리 68
 
8.9%
밀 47
 
6.2%
팥 6
 
0.8%
호밀 5
 
0.7%

품종명
Categorical

Distinct50
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
대원콩
89 
신동진벼
76 
삼광벼
75 
일품벼
69 
오대벼
63 
Other values (45)
391 

Length

Max length6
Median length3
Mean length3.4639581
Min length2

Unique

Unique6 ?
Unique (%)0.8%

Sample

1st row대원콩
2nd row대찬콩
3rd row대원콩
4th row대원콩
5th row대원콩

Common Values

ValueCountFrequency (%)
대원콩 89
 
11.7%
신동진벼 76
 
10.0%
삼광벼 75
 
9.8%
일품벼 69
 
9.0%
오대벼 63
 
8.3%
흰찰쌀보리 29
 
3.8%
새청무 27
 
3.5%
풍산나물콩 23
 
3.0%
새금강밀 20
 
2.6%
친들벼 20
 
2.6%
Other values (40) 272
35.6%

Length

2023-12-13T02:46:41.135179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대원콩 89
 
11.7%
신동진벼 76
 
10.0%
삼광벼 75
 
9.8%
일품벼 69
 
9.0%
오대벼 63
 
8.3%
흰찰쌀보리 29
 
3.8%
새청무 27
 
3.5%
풍산나물콩 23
 
3.0%
새금강밀 20
 
2.6%
친들벼 20
 
2.6%
Other values (40) 272
35.6%

신청차수
Real number (ℝ)

Distinct18
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7693316
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-13T02:46:41.282085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4.9
Maximum18
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.6545169
Coefficient of variation (CV)1.5002936
Kurtosis20.073453
Mean1.7693316
Median Absolute Deviation (MAD)0
Skewness4.4361191
Sum1350
Variance7.0464598
MonotonicityNot monotonic
2023-12-13T02:46:41.441110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1 651
85.3%
3 35
 
4.6%
4 25
 
3.3%
2 13
 
1.7%
17 8
 
1.0%
5 5
 
0.7%
12 3
 
0.4%
16 3
 
0.4%
15 3
 
0.4%
11 3
 
0.4%
Other values (8) 14
 
1.8%
ValueCountFrequency (%)
1 651
85.3%
2 13
 
1.7%
3 35
 
4.6%
4 25
 
3.3%
5 5
 
0.7%
6 2
 
0.3%
7 1
 
0.1%
8 2
 
0.3%
9 2
 
0.3%
10 2
 
0.3%
ValueCountFrequency (%)
18 1
 
0.1%
17 8
1.0%
16 3
 
0.4%
15 3
 
0.4%
14 2
 
0.3%
13 2
 
0.3%
12 3
 
0.4%
11 3
 
0.4%
10 2
 
0.3%
9 2
 
0.3%

시작일
Date

Distinct75
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
Minimum2020-06-23 00:00:00
Maximum2022-12-23 00:00:00
2023-12-13T02:46:41.656140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:46:41.850651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

종료일
Date

Distinct77
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
Minimum2020-06-23 00:00:00
Maximum2022-12-30 00:00:00
2023-12-13T02:46:42.096127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:46:42.261499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

시퀀스값
Real number (ℝ)

UNIQUE 

Distinct763
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2069.6763
Minimum1519
Maximum2490
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-13T02:46:42.427909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1519
5-th percentile1686.1
Q11871.5
median2079
Q32274.5
95-th percentile2434.9
Maximum2490
Range971
Interquartile range (IQR)403

Descriptive statistics

Standard deviation243.24815
Coefficient of variation (CV)0.11752956
Kurtosis-0.82814129
Mean2069.6763
Median Absolute Deviation (MAD)202
Skewness-0.22221842
Sum1579163
Variance59169.66
MonotonicityNot monotonic
2023-12-13T02:46:42.560136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1875 1
 
0.1%
2104 1
 
0.1%
1992 1
 
0.1%
1997 1
 
0.1%
1991 1
 
0.1%
1998 1
 
0.1%
2105 1
 
0.1%
2106 1
 
0.1%
2107 1
 
0.1%
2103 1
 
0.1%
Other values (753) 753
98.7%
ValueCountFrequency (%)
1519 1
0.1%
1520 1
0.1%
1521 1
0.1%
1522 1
0.1%
1524 1
0.1%
1525 1
0.1%
1526 1
0.1%
1527 1
0.1%
1528 1
0.1%
1529 1
0.1%
ValueCountFrequency (%)
2490 1
0.1%
2489 1
0.1%
2488 1
0.1%
2487 1
0.1%
2486 1
0.1%
2485 1
0.1%
2484 1
0.1%
2483 1
0.1%
2482 1
0.1%
2481 1
0.1%

발지
Text

Distinct202
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2023-12-13T02:46:42.926341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length2
Mean length2.3591088
Min length2

Characters and Unicode

Total characters1800
Distinct characters162
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)2.4%

Sample

1st row추동
2nd row추동
3rd row원곡
4th row축동
5th row용대
ValueCountFrequency (%)
왕태 14
 
1.8%
대죽 14
 
1.8%
공음 13
 
1.6%
신전 11
 
1.4%
오미2 10
 
1.3%
내포 10
 
1.3%
남산 10
 
1.3%
철원 10
 
1.3%
한어 10
 
1.3%
두곡 10
 
1.3%
Other values (202) 684
85.9%
2023-12-13T02:46:43.427840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 67
 
3.7%
66
 
3.7%
곡 54
 
3.0%
대 50
 
2.8%
동 46
 
2.6%
지 42
 
2.3%
두 42
 
2.3%
신 39
 
2.2%
포 35
 
1.9%
화 32
 
1.8%
Other values (152) 1327
73.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1687
93.7%
Space Separator 66
 
3.7%
Decimal Number 23
 
1.3%
Open Punctuation 12
 
0.7%
Close Punctuation 12
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 67
 
4.0%
곡 54
 
3.2%
대 50
 
3.0%
동 46
 
2.7%
지 42
 
2.5%
두 42
 
2.5%
신 39
 
2.3%
포 35
 
2.1%
화 32
 
1.9%
천 31
 
1.8%
Other values (147) 1249
74.0%
Decimal Number
ValueCountFrequency (%)
2 13
56.5%
1 10
43.5%
Space Separator
ValueCountFrequency (%)
66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1687
93.7%
Common 113
 
6.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 67
 
4.0%
곡 54
 
3.2%
대 50
 
3.0%
동 46
 
2.7%
지 42
 
2.5%
두 42
 
2.5%
신 39
 
2.3%
포 35
 
2.1%
화 32
 
1.9%
천 31
 
1.8%
Other values (147) 1249
74.0%
Common
ValueCountFrequency (%)
66
58.4%
2 13
 
11.5%
( 12
 
10.6%
) 12
 
10.6%
1 10
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1687
93.7%
ASCII 113
 
6.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 67
 
4.0%
곡 54
 
3.2%
대 50
 
3.0%
동 46
 
2.7%
지 42
 
2.5%
두 42
 
2.5%
신 39
 
2.3%
포 35
 
2.1%
화 32
 
1.9%
천 31
 
1.8%
Other values (147) 1249
74.0%
ASCII
ValueCountFrequency (%)
66
58.4%
2 13
 
11.5%
( 12
 
10.6%
) 12
 
10.6%
1 10
 
8.8%

발지_지원명
Categorical

Distinct7
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
전북지원
159 
경북지원
140 
전남지원
130 
충남지원
117 
강원지원
98 
Other values (2)
119 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전북지원 159
20.8%
경북지원 140
18.3%
전남지원 130
17.0%
충남지원 117
15.3%
강원지원 98
12.8%
경남지원 64
8.4%
충북지원 55
 
7.2%

Length

2023-12-13T02:46:43.612345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:46:43.728280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전북지원 159
20.8%
경북지원 140
18.3%
전남지원 130
17.0%
충남지원 117
15.3%
강원지원 98
12.8%
경남지원 64
8.4%
충북지원 55
 
7.2%

발지_시도
Categorical

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
전라북도
160 
경상북도
138 
전라남도
130 
충청남도
117 
강원특별자치도
99 
Other values (3)
119 

Length

Max length7
Median length4
Mean length4.3892529
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
전라북도 160
21.0%
경상북도 138
18.1%
전라남도 130
17.0%
충청남도 117
15.3%
강원특별자치도 99
13.0%
경상남도 64
 
8.4%
충청북도 54
 
7.1%
<NA> 1
 
0.1%

Length

2023-12-13T02:46:43.858465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:46:44.000916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라북도 160
21.0%
경상북도 138
18.1%
전라남도 130
17.0%
충청남도 117
15.3%
강원특별자치도 99
13.0%
경상남도 64
 
8.4%
충청북도 54
 
7.1%
na 1
 
0.1%

발지_시군구
Categorical

Distinct41
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
예천군
57 
홍천군
 
52
태안군
 
46
충주시
 
45
안동시
 
43
Other values (36)
520 

Length

Max length4
Median length3
Mean length3.0117955
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
예천군 57
 
7.5%
홍천군 52
 
6.8%
태안군 46
 
6.0%
충주시 45
 
5.9%
안동시 43
 
5.6%
아산시 40
 
5.2%
정읍시 40
 
5.2%
영암군 35
 
4.6%
철원군 34
 
4.5%
문경시 29
 
3.8%
Other values (31) 342
44.8%

Length

2023-12-13T02:46:44.154661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
예천군 57
 
7.5%
홍천군 52
 
6.8%
태안군 46
 
6.0%
충주시 45
 
5.9%
안동시 43
 
5.6%
아산시 40
 
5.2%
정읍시 40
 
5.2%
영암군 35
 
4.6%
철원군 34
 
4.5%
문경시 29
 
3.8%
Other values (31) 342
44.8%

발지_읍면동
Text

MISSING 

Distinct101
Distinct (%)13.7%
Missing28
Missing (%)3.7%
Memory size6.1 KiB
2023-12-13T02:46:44.419977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.1156463
Min length2

Characters and Unicode

Total characters2290
Distinct characters104
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)1.1%

Sample

1st row엄정면
2nd row엄정면
3rd row엄정면
4th row금가면
5th row동량면
ValueCountFrequency (%)
서석면 37
 
4.9%
풍산읍 34
 
4.5%
호명면 33
 
4.4%
선장면 30
 
4.0%
엄정면 28
 
3.7%
철원읍 28
 
3.7%
태안읍 28
 
3.7%
지보면 23
 
3.1%
의창구 19
 
2.5%
원북면 18
 
2.4%
Other values (92) 476
63.1%
2023-12-13T02:46:44.825712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
면 609
26.6%
읍 121
 
5.3%
산 93
 
4.1%
서 72
 
3.1%
원 60
 
2.6%
안 47
 
2.1%
영 46
 
2.0%
풍 40
 
1.7%
호 39
 
1.7%
태 37
 
1.6%
Other values (94) 1126
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2271
99.2%
Space Separator 19
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 609
26.8%
읍 121
 
5.3%
산 93
 
4.1%
서 72
 
3.2%
원 60
 
2.6%
안 47
 
2.1%
영 46
 
2.0%
풍 40
 
1.8%
호 39
 
1.7%
태 37
 
1.6%
Other values (93) 1107
48.7%
Space Separator
ValueCountFrequency (%)
19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2271
99.2%
Common 19
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 609
26.8%
읍 121
 
5.3%
산 93
 
4.1%
서 72
 
3.2%
원 60
 
2.6%
안 47
 
2.1%
영 46
 
2.0%
풍 40
 
1.8%
호 39
 
1.7%
태 37
 
1.6%
Other values (93) 1107
48.7%
Common
ValueCountFrequency (%)
19
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2271
99.2%
ASCII 19
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
면 609
26.8%
읍 121
 
5.3%
산 93
 
4.1%
서 72
 
3.2%
원 60
 
2.6%
안 47
 
2.1%
영 46
 
2.0%
풍 40
 
1.8%
호 39
 
1.7%
태 37
 
1.6%
Other values (93) 1107
48.7%
ASCII
ValueCountFrequency (%)
19
100.0%

착지_시도
Categorical

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
전라북도
160 
경상북도
138 
전라남도
130 
충청남도
117 
강원특별자치도
99 
Other values (3)
119 

Length

Max length7
Median length4
Mean length4.3892529
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
전라북도 160
21.0%
경상북도 138
18.1%
전라남도 130
17.0%
충청남도 117
15.3%
강원특별자치도 99
13.0%
경상남도 64
 
8.4%
충청북도 54
 
7.1%
<NA> 1
 
0.1%

Length

2023-12-13T02:46:44.984521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:46:45.155385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라북도 160
21.0%
경상북도 138
18.1%
전라남도 130
17.0%
충청남도 117
15.3%
강원특별자치도 99
13.0%
경상남도 64
 
8.4%
충청북도 54
 
7.1%
na 1
 
0.1%

착지_시군구
Categorical

Distinct41
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
예천군
57 
홍천군
 
52
태안군
 
46
충주시
 
45
안동시
 
43
Other values (36)
520 

Length

Max length4
Median length3
Mean length3.0117955
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
예천군 57
 
7.5%
홍천군 52
 
6.8%
태안군 46
 
6.0%
충주시 45
 
5.9%
안동시 43
 
5.6%
아산시 40
 
5.2%
정읍시 40
 
5.2%
영암군 35
 
4.6%
철원군 34
 
4.5%
문경시 29
 
3.8%
Other values (31) 342
44.8%

Length

2023-12-13T02:46:45.326007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
예천군 57
 
7.5%
홍천군 52
 
6.8%
태안군 46
 
6.0%
충주시 45
 
5.9%
안동시 43
 
5.6%
아산시 40
 
5.2%
정읍시 40
 
5.2%
영암군 35
 
4.6%
철원군 34
 
4.5%
문경시 29
 
3.8%
Other values (31) 342
44.8%

착지_읍면동
Text

MISSING 

Distinct101
Distinct (%)13.7%
Missing28
Missing (%)3.7%
Memory size6.1 KiB
2023-12-13T02:46:45.550953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.1156463
Min length2

Characters and Unicode

Total characters2290
Distinct characters104
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)1.1%

Sample

1st row엄정면
2nd row엄정면
3rd row엄정면
4th row금가면
5th row동량면
ValueCountFrequency (%)
서석면 37
 
4.9%
풍산읍 34
 
4.5%
호명면 33
 
4.4%
선장면 30
 
4.0%
엄정면 28
 
3.7%
철원읍 28
 
3.7%
태안읍 28
 
3.7%
지보면 23
 
3.1%
의창구 19
 
2.5%
원북면 18
 
2.4%
Other values (92) 476
63.1%
2023-12-13T02:46:45.948031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
면 609
26.6%
읍 121
 
5.3%
산 93
 
4.1%
서 72
 
3.1%
원 60
 
2.6%
안 47
 
2.1%
영 46
 
2.0%
풍 40
 
1.7%
호 39
 
1.7%
태 37
 
1.6%
Other values (94) 1126
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2271
99.2%
Space Separator 19
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 609
26.8%
읍 121
 
5.3%
산 93
 
4.1%
서 72
 
3.2%
원 60
 
2.6%
안 47
 
2.1%
영 46
 
2.0%
풍 40
 
1.8%
호 39
 
1.7%
태 37
 
1.6%
Other values (93) 1107
48.7%
Space Separator
ValueCountFrequency (%)
19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2271
99.2%
Common 19
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 609
26.8%
읍 121
 
5.3%
산 93
 
4.1%
서 72
 
3.2%
원 60
 
2.6%
안 47
 
2.1%
영 46
 
2.0%
풍 40
 
1.8%
호 39
 
1.7%
태 37
 
1.6%
Other values (93) 1107
48.7%
Common
ValueCountFrequency (%)
19
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2271
99.2%
ASCII 19
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
면 609
26.8%
읍 121
 
5.3%
산 93
 
4.1%
서 72
 
3.2%
원 60
 
2.6%
안 47
 
2.1%
영 46
 
2.0%
풍 40
 
1.8%
호 39
 
1.7%
태 37
 
1.6%
Other values (93) 1107
48.7%
ASCII
ValueCountFrequency (%)
19
100.0%

착지
Categorical

Distinct11
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
전북지원
159 
경북지원
130 
충남지원
124 
전남지원
113 
강원지원
102 
Other values (6)
135 

Length

Max length9
Median length4
Mean length4.068152
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
전북지원 159
20.8%
경북지원 130
17.0%
충남지원 124
16.3%
전남지원 113
14.8%
강원지원 102
13.4%
경남지원 64
8.4%
충북지원 52
 
6.8%
영암사무소 9
 
1.2%
전남지원영암사무소 8
 
1.0%
율림 1
 
0.1%

Length

2023-12-13T02:46:46.102559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전북지원 159
20.8%
경북지원 130
17.0%
충남지원 124
16.3%
전남지원 113
14.8%
강원지원 102
13.4%
경남지원 64
8.4%
충북지원 52
 
6.8%
영암사무소 9
 
1.2%
전남지원영암사무소 8
 
1.0%
율림 1
 
0.1%

착지_지원명
Categorical

Distinct7
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
전북지원
159 
경북지원
140 
전남지원
130 
충남지원
117 
강원지원
98 
Other values (2)
119 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전북지원 159
20.8%
경북지원 140
18.3%
전남지원 130
17.0%
충남지원 117
15.3%
강원지원 98
12.8%
경남지원 64
8.4%
충북지원 55
 
7.2%

Length

2023-12-13T02:46:46.239696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:46:46.354546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전북지원 159
20.8%
경북지원 140
18.3%
전남지원 130
17.0%
충남지원 117
15.3%
강원지원 98
12.8%
경남지원 64
8.4%
충북지원 55
 
7.2%

양
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean659.08126
Minimum0
Maximum1020
Zeros31
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-13T02:46:46.489709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile40
Q1600
median800
Q3800
95-th percentile999.2
Maximum1020
Range1020
Interquartile range (IQR)200

Descriptive statistics

Standard deviation296.87854
Coefficient of variation (CV)0.45044299
Kurtosis0.56129245
Mean659.08126
Median Absolute Deviation (MAD)0
Skewness-1.4459809
Sum502879
Variance88136.865
MonotonicityNot monotonic
2023-12-13T02:46:46.633672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
800 436
57.1%
40 97
 
12.7%
600 68
 
8.9%
750 42
 
5.5%
1000 38
 
5.0%
0 31
 
4.1%
900 10
 
1.3%
930 5
 
0.7%
400 4
 
0.5%
803 3
 
0.4%
Other values (23) 29
 
3.8%
ValueCountFrequency (%)
0 31
 
4.1%
40 97
12.7%
320 1
 
0.1%
360 1
 
0.1%
400 4
 
0.5%
410 1
 
0.1%
440 1
 
0.1%
500 1
 
0.1%
506 1
 
0.1%
520 1
 
0.1%
ValueCountFrequency (%)
1020 1
 
0.1%
1000 38
5.0%
992 1
 
0.1%
983 1
 
0.1%
950 2
 
0.3%
930 5
 
0.7%
920 3
 
0.4%
910 2
 
0.3%
900 10
 
1.3%
891 1
 
0.1%

포대종류
Categorical

IMBALANCE 

Distinct11
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
톤백
589 
p.p
 
52
pp
 
46
<NA>
 
39
PP
 
17
Other values (6)
 
20

Length

Max length5
Median length2
Mean length2.214941
Min length1

Unique

Unique4 ?
Unique (%)0.5%

Sample

1st rowp.p
2nd rowp.p
3rd rowp.p
4th rowp.p
5th rowp.p

Common Values

ValueCountFrequency (%)
톤백 589
77.2%
p.p 52
 
6.8%
pp 46
 
6.0%
<NA> 39
 
5.1%
PP 17
 
2.2%
pp톤백 14
 
1.8%
pp포대 2
 
0.3%
pp톤백 1
 
0.1%
논백 1
 
0.1%
톤 1
 
0.1%

Length

2023-12-13T02:46:46.760483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
톤백 589
77.2%
pp 63
 
8.3%
p.p 52
 
6.8%
na 39
 
5.1%
pp톤백 15
 
2.0%
pp포대 2
 
0.3%
논백 1
 
0.1%
톤 1
 
0.1%
백백 1
 
0.1%

포대수
Real number (ℝ)

ZEROS 

Distinct330
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean164.46789
Minimum0
Maximum1145
Zeros15
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-13T02:46:46.927031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q153
median118
Q3201
95-th percentile562.7
Maximum1145
Range1145
Interquartile range (IQR)148

Descriptive statistics

Standard deviation182.16381
Coefficient of variation (CV)1.107595
Kurtosis8.190256
Mean164.46789
Median Absolute Deviation (MAD)75
Skewness2.6199266
Sum125489
Variance33183.653
MonotonicityNot monotonic
2023-12-13T02:46:47.075163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15
 
2.0%
27 8
 
1.0%
53 7
 
0.9%
1 7
 
0.9%
32 7
 
0.9%
16 7
 
0.9%
42 6
 
0.8%
20 6
 
0.8%
23 6
 
0.8%
62 6
 
0.8%
Other values (320) 688
90.2%
ValueCountFrequency (%)
0 15
2.0%
1 7
0.9%
2 3
 
0.4%
3 4
 
0.5%
4 2
 
0.3%
5 2
 
0.3%
6 5
 
0.7%
7 3
 
0.4%
8 1
 
0.1%
9 2
 
0.3%
ValueCountFrequency (%)
1145 1
0.1%
1141 1
0.1%
1080 1
0.1%
1019 1
0.1%
1015 2
0.3%
993 1
0.1%
976 1
0.1%
951 1
0.1%
917 1
0.1%
909 1
0.1%

수송량
Real number (ℝ)

Distinct734
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87243.948
Minimum0
Maximum379250
Zeros5
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-13T02:46:47.215134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5377
Q125195
median68960
Q3131080
95-th percentile235185
Maximum379250
Range379250
Interquartile range (IQR)105885

Descriptive statistics

Standard deviation73144.13
Coefficient of variation (CV)0.83838629
Kurtosis0.55191947
Mean87243.948
Median Absolute Deviation (MAD)48570
Skewness0.99052297
Sum66567132
Variance5.3500637 × 109
MonotonicityNot monotonic
2023-12-13T02:46:47.351356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
0.7%
65000 4
 
0.5%
16200 2
 
0.3%
50170 2
 
0.3%
107400 2
 
0.3%
88000 2
 
0.3%
32000 2
 
0.3%
24520 2
 
0.3%
110000 2
 
0.3%
220000 2
 
0.3%
Other values (724) 738
96.7%
ValueCountFrequency (%)
0 5
0.7%
320 1
 
0.1%
360 1
 
0.1%
400 1
 
0.1%
440 1
 
0.1%
520 1
 
0.1%
560 1
 
0.1%
730 1
 
0.1%
1040 1
 
0.1%
1090 1
 
0.1%
ValueCountFrequency (%)
379250 1
0.1%
367890 1
0.1%
348980 1
0.1%
331860 1
0.1%
307290 1
0.1%
299290 1
0.1%
295650 1
0.1%
294720 1
0.1%
290750 1
0.1%
286140 1
0.1%

수송일자
Date

Distinct173
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
Minimum2020-06-22 00:00:00
Maximum2022-12-30 00:00:00
2023-12-13T02:46:47.898144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:46:48.138216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수송방법
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
수송
763 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수송 763
100.0%

Length

2023-12-13T02:46:48.333959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:46:48.484794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수송 763
100.0%

작업임
Categorical

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
없음
265 
톤백상차톤백출고
243 
톤백직속상차
161 
상차출고
70 
매입직속상차
 
24

Length

Max length8
Median length6
Mean length5.0642202
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
없음 265
34.7%
톤백상차톤백출고 243
31.8%
톤백직속상차 161
21.1%
상차출고 70
 
9.2%
매입직속상차 24
 
3.1%

Length

2023-12-13T02:46:48.630967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:46:48.794223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 265
34.7%
톤백상차톤백출고 243
31.8%
톤백직속상차 161
21.1%
상차출고 70
 
9.2%
매입직속상차 24
 
3.1%

수송거리
Real number (ℝ)

ZEROS 

Distinct106
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.349934
Minimum0
Maximum259
Zeros77
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-13T02:46:48.977822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median22
Q359
95-th percentile110
Maximum259
Range259
Interquartile range (IQR)51

Descriptive statistics

Standard deviation37.640124
Coefficient of variation (CV)1.0354936
Kurtosis2.5887933
Mean36.349934
Median Absolute Deviation (MAD)17
Skewness1.4882424
Sum27735
Variance1416.779
MonotonicityNot monotonic
2023-12-13T02:46:49.163591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 77
 
10.1%
5 44
 
5.8%
33 39
 
5.1%
81 30
 
3.9%
20 29
 
3.8%
14 24
 
3.1%
40 19
 
2.5%
12 19
 
2.5%
3 18
 
2.4%
57 16
 
2.1%
Other values (96) 448
58.7%
ValueCountFrequency (%)
0 77
10.1%
1 6
 
0.8%
2 5
 
0.7%
3 18
 
2.4%
4 15
 
2.0%
5 44
5.8%
6 11
 
1.4%
7 12
 
1.6%
8 15
 
2.0%
9 13
 
1.7%
ValueCountFrequency (%)
259 1
 
0.1%
200 1
 
0.1%
160 1
 
0.1%
158 1
 
0.1%
155 9
1.2%
145 1
 
0.1%
143 1
 
0.1%
142 1
 
0.1%
140 2
 
0.3%
135 1
 
0.1%

수송계획량
Real number (ℝ)

ZEROS 

Distinct518
Distinct (%)67.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94365.402
Minimum0
Maximum352880
Zeros63
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-13T02:46:49.366056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124420
median78300
Q3145000
95-th percentile257933
Maximum352880
Range352880
Interquartile range (IQR)120580

Descriptive statistics

Standard deviation80710.662
Coefficient of variation (CV)0.85529929
Kurtosis-0.26011487
Mean94365.402
Median Absolute Deviation (MAD)58830
Skewness0.77349661
Sum72000802
Variance6.514211 × 109
MonotonicityNot monotonic
2023-12-13T02:46:49.556245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63
 
8.3%
14000 8
 
1.0%
100000 6
 
0.8%
240000 5
 
0.7%
54000 5
 
0.7%
33000 4
 
0.5%
81000 4
 
0.5%
73000 4
 
0.5%
31000 4
 
0.5%
12600 4
 
0.5%
Other values (508) 656
86.0%
ValueCountFrequency (%)
0 63
8.3%
12 1
 
0.1%
110 1
 
0.1%
320 1
 
0.1%
360 1
 
0.1%
400 1
 
0.1%
440 1
 
0.1%
520 1
 
0.1%
560 1
 
0.1%
1040 1
 
0.1%
ValueCountFrequency (%)
352880 1
 
0.1%
336580 1
 
0.1%
313260 1
 
0.1%
306970 1
 
0.1%
305930 2
0.3%
304000 2
0.3%
301000 3
0.4%
292000 1
 
0.1%
286360 1
 
0.1%
283000 1
 
0.1%

Sample

년산지원명기관명작물명품종명신청차수시작일종료일시퀀스값발지발지_지원명발지_시도발지_시군구발지_읍면동착지_시도착지_시군구착지_읍면동착지착지_지원명양포대종류포대수수송량수송일자수송방법작업임수송거리수송계획량
02020충북지원추동콩대원콩12020-12-172020-12-221875추동충북지원충청북도충주시엄정면충청북도충주시엄정면충북지원충북지원40p.p405162002020-12-17수송톤백직속상차3318600
12020충북지원추동콩대찬콩12020-12-172020-12-221876추동충북지원충청북도충주시엄정면충청북도충주시엄정면충북지원충북지원40p.p24397202020-12-17수송톤백직속상차3310400
22020충북지원원곡콩대원콩12020-12-172020-12-221879원곡충북지원충청북도충주시엄정면충청북도충주시엄정면충북지원충북지원40p.p585234002020-12-21수송톤백직속상차3323800
32020충북지원축동콩대원콩12020-12-172020-12-221880축동충북지원충청북도충주시금가면충청북도충주시금가면충북지원충북지원40p.p1145458002020-12-22수송톤백직속상차3345800
42020충북지원용대콩대원콩12020-12-172020-12-221881용대충북지원충청북도충주시동량면충청북도충주시동량면충북지원충북지원40p.p907362802020-12-22수송톤백직속상차3330800
52020충북지원율 리벼추청벼12020-11-302020-12-151824율 리충북지원충청북도충주시엄정면충청북도충주시엄정면충북지원충북지원800톤백1761376302020-12-07수송톤백상차톤백출고33135830
62020충북지원논 강벼삼광벼12020-11-302020-12-151817논 강충북지원충청북도충주시엄정면충청북도충주시엄정면강원지원충북지원800톤백59460302020-11-30수송톤백상차톤백출고10745650
72020충북지원모 산벼추청벼12020-11-302020-12-151822모 산충북지원충청북도충주시금가면충청북도충주시금가면충남지원충북지원800톤백127969402020-12-11수송톤백상차톤백출고14297840
82020충북지원비 석벼추청벼12020-11-302020-12-151820비 석충북지원충청북도충주시엄정면충청북도충주시엄정면충남지원충북지원800톤백126975702020-12-09수송톤백상차톤백출고14598850
92020충북지원행 정벼추청벼12020-11-302020-12-151821행 정충북지원충청북도충주시엄정면충청북도충주시엄정면충남지원충북지원800톤백127990902020-12-10수송톤백상차톤백출고14399080
년산지원명기관명작물명품종명신청차수시작일종료일시퀀스값발지발지_지원명발지_시도발지_시군구발지_읍면동착지_시도착지_시군구착지_읍면동착지착지_지원명양포대종류포대수수송량수송일자수송방법작업임수송거리수송계획량
7532022강원지원좌운콩대원콩12022-12-212022-12-302420좌운강원지원강원특별자치도홍천군영귀미면강원특별자치도홍천군영귀미면강원지원강원지원40pp763305002022-12-23수송톤백상차톤백출고4030500
7542022강원지원내포벼오대벼12022-10-252022-11-302263내포강원지원강원특별자치도철원군철원읍강원특별자치도철원군철원읍강원지원강원지원1000톤백50504602022-11-08수송상차출고15568000
7552022강원지원내포벼오대벼12022-10-252022-11-302264내포강원지원강원특별자치도철원군철원읍강원특별자치도철원군철원읍강원지원강원지원0<NA>25253402022-11-09수송상차출고00
7562022강원지원주천콩청아콩12022-12-212022-12-302417주천강원지원강원특별자치도영월군주천면강원특별자치도영월군주천면강원지원강원지원40pp646258402022-12-22수송톤백상차톤백출고8025840
7572022강원지원자등콩대원콩12022-12-212022-12-302418자등강원지원강원특별자치도철원군서면강원특별자치도철원군서면강원지원강원지원40pp675270002022-12-30수송톤백상차톤백출고13027000
7582022강원지원잠곡콩대원콩12022-12-212022-12-302419잠곡강원지원강원특별자치도철원군근남면강원특별자치도철원군근남면강원지원강원지원40pp763305002022-12-30수송톤백상차톤백출고13030500
7592022강원지원용사콩대원콩12022-12-212022-12-302416용사강원지원강원특별자치도영월군주천면강원특별자치도영월군주천면강원지원강원지원40pp900360002022-12-22수송톤백상차톤백출고8036000
7602022강원지원사천벼오륜벼12022-10-252022-11-302276사천강원지원강원특별자치도강릉시사천면강원특별자치도강릉시사천면강원지원강원지원800톤백55439802022-11-17수송상차출고12442405
7612022강원지원공순원콩대원콩12022-12-212022-12-302415공순원강원지원강원특별자치도영월군주천면강원특별자치도영월군주천면강원지원강원지원40pp450180002022-12-22수송톤백상차톤백출고8018000
7622022강원지원동면팥아라리팥12022-12-232022-12-232422동면강원지원강원특별자치도홍천군영귀미면강원특별자치도홍천군영귀미면강원지원강원지원40PP812324802022-12-23수송톤백상차톤백출고4032480