Overview

Dataset statistics

Number of variables6
Number of observations2690
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory128.8 KiB
Average record size in memory49.0 B

Variable types

Categorical2
Text3
Numeric1

Dataset

Description대분류명,중분류명,소분류명,상위식재료코드,상위식재료명,설명
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-20918/S/1/datasetView.do

Alerts

대분류명 is highly overall correlated with 중분류명High correlation
중분류명 is highly overall correlated with 대분류명High correlation

Reproduction

Analysis started2024-05-11 09:11:02.536627
Analysis finished2024-05-11 09:11:05.946796
Duration3.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대분류명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.1 KiB
수산물
927 
농산물
830 
가공식품
707 
축산물
226 

Length

Max length4
Median length3
Mean length3.2628253
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수산물 927
34.5%
농산물 830
30.9%
가공식품 707
26.3%
축산물 226
 
8.4%

Length

2024-05-11T09:11:06.246023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:11:06.713743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수산물 927
34.5%
농산물 830
30.9%
가공식품 707
26.3%
축산물 226
 
8.4%

중분류명
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size21.1 KiB
농산물가공식품
644 
어류
346 
과일류
316 
양곡부류
289 
건어물
240 
Other values (21)
855 

Length

Max length7
Median length5
Mean length3.9888476
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
농산물가공식품 644
23.9%
어류 346
12.9%
과일류 316
11.7%
양곡부류 289
10.7%
건어물 240
 
8.9%
연체류 161
 
6.0%
가금류 101
 
3.8%
갑각류 85
 
3.2%
엽경채류 69
 
2.6%
조미채소류 63
 
2.3%
Other values (16) 376
14.0%

Length

2024-05-11T09:11:07.231660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
농산물가공식품 644
23.9%
어류 346
12.9%
과일류 316
11.7%
양곡부류 289
10.7%
건어물 240
 
8.9%
연체류 161
 
6.0%
가금류 101
 
3.8%
갑각류 85
 
3.2%
엽경채류 69
 
2.6%
조미채소류 63
 
2.3%
Other values (16) 376
14.0%

소분류명
Text

Distinct343
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size21.1 KiB
2024-05-11T09:11:08.234275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length3.227881
Min length1

Characters and Unicode

Total characters8683
Distinct characters269
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)2.7%

Sample

1st row가시오가피
2nd row가지말랭이
3rd row가지말랭이
4th row가지말랭이
5th row감말랭이
ValueCountFrequency (%)
닭고기 125
 
4.6%
감자 106
 
3.9%
오징어 105
 
3.9%
새우 74
 
2.8%
오리 61
 
2.3%
조각과일 45
 
1.7%
명태 44
 
1.6%
우엉가공품 42
 
1.6%
멸치 41
 
1.5%
연근가공품 39
 
1.4%
Other values (333) 2008
74.6%
2024-05-11T09:11:09.639474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 413
 
4.8%
품 337
 
3.9%
공 337
 
3.9%
기 258
 
3.0%
고 254
 
2.9%
오 254
 
2.9%
어 243
 
2.8%
우 230
 
2.6%
리 182
 
2.1%
미 177
 
2.0%
Other values (259) 5998
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8403
96.8%
Open Punctuation 140
 
1.6%
Close Punctuation 140
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 413
 
4.9%
품 337
 
4.0%
공 337
 
4.0%
기 258
 
3.1%
고 254
 
3.0%
오 254
 
3.0%
어 243
 
2.9%
우 230
 
2.7%
리 182
 
2.2%
미 177
 
2.1%
Other values (257) 5718
68.0%
Open Punctuation
ValueCountFrequency (%)
( 140
100.0%
Close Punctuation
ValueCountFrequency (%)
) 140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8403
96.8%
Common 280
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 413
 
4.9%
품 337
 
4.0%
공 337
 
4.0%
기 258
 
3.1%
고 254
 
3.0%
오 254
 
3.0%
어 243
 
2.9%
우 230
 
2.7%
리 182
 
2.2%
미 177
 
2.1%
Other values (257) 5718
68.0%
Common
ValueCountFrequency (%)
( 140
50.0%
) 140
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8403
96.8%
ASCII 280
 
3.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 413
 
4.9%
품 337
 
4.0%
공 337
 
4.0%
기 258
 
3.1%
고 254
 
3.0%
오 254
 
3.0%
어 243
 
2.9%
우 230
 
2.7%
리 182
 
2.2%
미 177
 
2.1%
Other values (257) 5718
68.0%
ASCII
ValueCountFrequency (%)
( 140
50.0%
) 140
50.0%

상위식재료코드
Real number (ℝ)

Distinct2685
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1400990.8
Minimum1392298
Maximum3397615
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.8 KiB
2024-05-11T09:11:10.289275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1392298
5-th percentile1392496.4
Q11393122.2
median1393964
Q31394695.5
95-th percentile1397360.6
Maximum3397615
Range2005317
Interquartile range (IQR)1573.25

Descriptive statistics

Standard deviation115708.84
Coefficient of variation (CV)0.082590722
Kurtosis294.34061
Mean1400990.8
Median Absolute Deviation (MAD)817.5
Skewness17.206712
Sum3.7686652 × 109
Variance1.3388536 × 1010
MonotonicityNot monotonic
2024-05-11T09:11:10.897123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1396740 2
 
0.1%
1396798 2
 
0.1%
1396772 2
 
0.1%
1396775 2
 
0.1%
1396729 2
 
0.1%
1394463 1
 
< 0.1%
1394456 1
 
< 0.1%
1394450 1
 
< 0.1%
1394451 1
 
< 0.1%
1394452 1
 
< 0.1%
Other values (2675) 2675
99.4%
ValueCountFrequency (%)
1392298 1
< 0.1%
1392299 1
< 0.1%
1392300 1
< 0.1%
1392301 1
< 0.1%
1392302 1
< 0.1%
1392303 1
< 0.1%
1392304 1
< 0.1%
1392305 1
< 0.1%
1392306 1
< 0.1%
1392307 1
< 0.1%
ValueCountFrequency (%)
3397615 1
< 0.1%
3397595 1
< 0.1%
3397535 1
< 0.1%
3397516 1
< 0.1%
3397515 1
< 0.1%
3397497 1
< 0.1%
3397496 1
< 0.1%
3397495 1
< 0.1%
3397435 1
< 0.1%
1397496 1
< 0.1%

상위식재료명
Text

Distinct624
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Memory size21.1 KiB
2024-05-11T09:11:11.749763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length33
Mean length4.5185874
Min length1

Characters and Unicode

Total characters12155
Distinct characters451
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique307 ?
Unique (%)11.4%

Sample

1st row가시오가피
2nd row가지말랭이
3rd row가지말랭이
4th row가지말랭이
5th row감말랭이
ValueCountFrequency (%)
오징어 105
 
3.8%
닭고기 95
 
3.4%
새우 71
 
2.6%
조각과일 45
 
1.6%
명태 44
 
1.6%
우엉가공품 42
 
1.5%
멸치 40
 
1.5%
도라지가공품 39
 
1.4%
연근가공품 39
 
1.4%
미역 37
 
1.3%
Other values (649) 2197
79.8%
2024-05-11T09:11:13.666945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 442
 
3.6%
( 389
 
3.2%
) 388
 
3.2%
공 331
 
2.7%
품 329
 
2.7%
기 281
 
2.3%
어 252
 
2.1%
우 252
 
2.1%
/ 246
 
2.0%
고 236
 
1.9%
Other values (441) 9009
74.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10022
82.5%
Decimal Number 624
 
5.1%
Open Punctuation 403
 
3.3%
Close Punctuation 402
 
3.3%
Other Punctuation 328
 
2.7%
Lowercase Letter 235
 
1.9%
Space Separator 66
 
0.5%
Dash Punctuation 30
 
0.2%
Connector Punctuation 15
 
0.1%
Uppercase Letter 12
 
0.1%
Other values (3) 18
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 442
 
4.4%
공 331
 
3.3%
품 329
 
3.3%
기 281
 
2.8%
어 252
 
2.5%
우 252
 
2.5%
고 236
 
2.4%
오 211
 
2.1%
미 197
 
2.0%
리 173
 
1.7%
Other values (398) 7318
73.0%
Decimal Number
ValueCountFrequency (%)
0 207
33.2%
1 139
22.3%
2 76
 
12.2%
5 71
 
11.4%
3 44
 
7.1%
4 24
 
3.8%
8 21
 
3.4%
6 15
 
2.4%
9 15
 
2.4%
7 12
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
g 139
59.1%
k 43
 
18.3%
m 23
 
9.8%
l 19
 
8.1%
n 3
 
1.3%
t 2
 
0.9%
e 2
 
0.9%
o 2
 
0.9%
a 1
 
0.4%
s 1
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
G 3
25.0%
K 3
25.0%
D 2
16.7%
T 1
 
8.3%
O 1
 
8.3%
M 1
 
8.3%
N 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
/ 246
75.0%
, 51
 
15.5%
* 20
 
6.1%
. 6
 
1.8%
% 5
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 389
96.5%
[ 14
 
3.5%
Close Punctuation
ValueCountFrequency (%)
) 388
96.5%
] 14
 
3.5%
Math Symbol
ValueCountFrequency (%)
~ 10
90.9%
+ 1
 
9.1%
Space Separator
ValueCountFrequency (%)
66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 15
100.0%
Other Symbol
ValueCountFrequency (%)
○ 4
100.0%
Letter Number
ValueCountFrequency (%)
ⅹ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10022
82.5%
Common 1883
 
15.5%
Latin 250
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 442
 
4.4%
공 331
 
3.3%
품 329
 
3.3%
기 281
 
2.8%
어 252
 
2.5%
우 252
 
2.5%
고 236
 
2.4%
오 211
 
2.1%
미 197
 
2.0%
리 173
 
1.7%
Other values (398) 7318
73.0%
Common
ValueCountFrequency (%)
( 389
20.7%
) 388
20.6%
/ 246
13.1%
0 207
11.0%
1 139
 
7.4%
2 76
 
4.0%
5 71
 
3.8%
66
 
3.5%
, 51
 
2.7%
3 44
 
2.3%
Other values (15) 206
10.9%
Latin
ValueCountFrequency (%)
g 139
55.6%
k 43
 
17.2%
m 23
 
9.2%
l 19
 
7.6%
G 3
 
1.2%
K 3
 
1.2%
ⅹ 3
 
1.2%
n 3
 
1.2%
t 2
 
0.8%
e 2
 
0.8%
Other values (8) 10
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10021
82.4%
ASCII 2126
 
17.5%
Geometric Shapes 4
 
< 0.1%
Number Forms 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 442
 
4.4%
공 331
 
3.3%
품 329
 
3.3%
기 281
 
2.8%
어 252
 
2.5%
우 252
 
2.5%
고 236
 
2.4%
오 211
 
2.1%
미 197
 
2.0%
리 173
 
1.7%
Other values (397) 7317
73.0%
ASCII
ValueCountFrequency (%)
( 389
18.3%
) 388
18.3%
/ 246
11.6%
0 207
9.7%
1 139
 
6.5%
g 139
 
6.5%
2 76
 
3.6%
5 71
 
3.3%
66
 
3.1%
, 51
 
2.4%
Other values (31) 354
16.7%
Geometric Shapes
ValueCountFrequency (%)
○ 4
100.0%
Number Forms
ValueCountFrequency (%)
ⅹ 3
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
100.0%

설명
Text

Distinct1580
Distinct (%)58.7%
Missing0
Missing (%)0.0%
Memory size21.1 KiB
2024-05-11T09:11:15.103266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length204
Median length107
Mean length42.594424
Min length2

Characters and Unicode

Total characters114579
Distinct characters682
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1252 ?
Unique (%)46.5%

Sample

1st row가격은 1kg당이며, 발주는 0.1kg단위로 가능함 / 맛과 향이 좋음.
2nd row가격은 1kg당이며, 발주는 0.1kg단위로 가능함 / 국내산 가지를 절단하여 깨끗이 말린 제품
3rd row가격은 1kg당이며, 발주는 0.1kg단위로 가능함 / 가지말랭이
4th row가격은 1kg당이며, 발주는 0.1kg단위로 가능함 / 가능
5th row가격은 1kg당이며, 발주는 0.1kg단위로 가능함 / 국내산 감을 피 제거후 절단하여 깨끝이 말린 제품
ValueCountFrequency (%)
발주는 2243
 
10.4%
가격은 2238
 
10.3%
1kg당이며 2175
 
10.1%
2113
 
9.8%
0.1kg단위로 1945
 
9.0%
가능함 1784
 
8.2%
1kg단위로 225
 
1.0%
검사 163
 
0.8%
가능 157
 
0.7%
안전성 155
 
0.7%
Other values (2345) 8440
39.0%
2024-05-11T09:11:17.040627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19068
 
16.6%
가 5043
 
4.4%
1 5001
 
4.4%
g 4991
 
4.4%
k 4535
 
4.0%
/ 3826
 
3.3%
0 3179
 
2.8%
, 2975
 
2.6%
이 2805
 
2.4%
단 2612
 
2.3%
Other values (672) 60544
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64340
56.2%
Space Separator 19068
 
16.6%
Lowercase Letter 9760
 
8.5%
Decimal Number 9571
 
8.4%
Other Punctuation 9480
 
8.3%
Open Punctuation 910
 
0.8%
Close Punctuation 907
 
0.8%
Uppercase Letter 293
 
0.3%
Math Symbol 122
 
0.1%
Dash Punctuation 60
 
0.1%
Other values (5) 68
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 5043
 
7.8%
이 2805
 
4.4%
단 2612
 
4.1%
로 2506
 
3.9%
능 2446
 
3.8%
주 2440
 
3.8%
발 2393
 
3.7%
위 2384
 
3.7%
은 2382
 
3.7%
는 2372
 
3.7%
Other values (608) 36957
57.4%
Uppercase Letter
ValueCountFrequency (%)
C 74
25.3%
A 41
14.0%
H 34
11.6%
G 33
11.3%
P 33
11.3%
K 32
10.9%
D 11
 
3.8%
E 8
 
2.7%
O 6
 
2.0%
L 4
 
1.4%
Other values (7) 17
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
g 4991
51.1%
k 4535
46.5%
m 104
 
1.1%
c 91
 
0.9%
x 8
 
0.1%
a 7
 
0.1%
p 6
 
0.1%
n 5
 
0.1%
l 5
 
0.1%
h 4
 
< 0.1%
Other values (2) 4
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 5001
52.3%
0 3179
33.2%
5 437
 
4.6%
3 220
 
2.3%
2 220
 
2.3%
9 174
 
1.8%
4 113
 
1.2%
7 93
 
1.0%
8 79
 
0.8%
6 55
 
0.6%
Other Punctuation
ValueCountFrequency (%)
/ 3826
40.4%
, 2975
31.4%
. 2324
24.5%
% 205
 
2.2%
？ 71
 
0.7%
* 52
 
0.5%
: 25
 
0.3%
? 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 89
73.0%
+ 22
 
18.0%
| 6
 
4.9%
± 4
 
3.3%
= 1
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 896
98.5%
[ 14
 
1.5%
Close Punctuation
ValueCountFrequency (%)
) 893
98.5%
] 14
 
1.5%
Other Symbol
ValueCountFrequency (%)
○ 4
66.7%
㈜ 2
33.3%
Space Separator
ValueCountFrequency (%)
19068
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 54
100.0%
Letter Number
ValueCountFrequency (%)
ⅹ 5
100.0%
Control
ValueCountFrequency (%)
2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64331
56.1%
Common 40179
35.1%
Latin 10058
 
8.8%
Han 11
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 5043
 
7.8%
이 2805
 
4.4%
단 2612
 
4.1%
로 2506
 
3.9%
능 2446
 
3.8%
주 2440
 
3.8%
발 2393
 
3.7%
위 2384
 
3.7%
은 2382
 
3.7%
는 2372
 
3.7%
Other values (605) 36948
57.4%
Common
ValueCountFrequency (%)
19068
47.5%
1 5001
 
12.4%
/ 3826
 
9.5%
0 3179
 
7.9%
, 2975
 
7.4%
. 2324
 
5.8%
( 896
 
2.2%
) 893
 
2.2%
5 437
 
1.1%
3 220
 
0.5%
Other values (23) 1360
 
3.4%
Latin
ValueCountFrequency (%)
g 4991
49.6%
k 4535
45.1%
m 104
 
1.0%
c 91
 
0.9%
C 74
 
0.7%
A 41
 
0.4%
H 34
 
0.3%
G 33
 
0.3%
P 33
 
0.3%
K 32
 
0.3%
Other values (20) 90
 
0.9%
Han
ValueCountFrequency (%)
有 4
36.4%
中 3
27.3%
小 3
27.3%
無 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64329
56.1%
ASCII 50152
43.8%
None 77
 
0.1%
CJK 11
 
< 0.1%
Number Forms 5
 
< 0.1%
Geometric Shapes 4
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19068
38.0%
1 5001
 
10.0%
g 4991
 
10.0%
k 4535
 
9.0%
/ 3826
 
7.6%
0 3179
 
6.3%
, 2975
 
5.9%
. 2324
 
4.6%
( 896
 
1.8%
) 893
 
1.8%
Other values (48) 2464
 
4.9%
Hangul
ValueCountFrequency (%)
가 5043
 
7.8%
이 2805
 
4.4%
단 2612
 
4.1%
로 2506
 
3.9%
능 2446
 
3.8%
주 2440
 
3.8%
발 2393
 
3.7%
위 2384
 
3.7%
은 2382
 
3.7%
는 2372
 
3.7%
Other values (604) 36946
57.4%
None
ValueCountFrequency (%)
？ 71
92.2%
± 4
 
5.2%
㈜ 2
 
2.6%
Number Forms
ValueCountFrequency (%)
ⅹ 5
100.0%
Geometric Shapes
ValueCountFrequency (%)
○ 4
100.0%
CJK
ValueCountFrequency (%)
有 4
36.4%
中 3
27.3%
小 3
27.3%
無 1
 
9.1%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Interactions

2024-05-11T09:11:04.818970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T09:11:17.347220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대분류명중분류명상위식재료코드
대분류명1.0000.9870.121
중분류명0.9871.0000.231
상위식재료코드0.1210.2311.000
2024-05-11T09:11:17.943962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대분류명중분류명
대분류명1.0000.939
중분류명0.9391.000
2024-05-11T09:11:18.197143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상위식재료코드대분류명중분류명
상위식재료코드1.0000.0800.182
대분류명0.0801.0000.939
중분류명0.1820.9391.000

Missing values

2024-05-11T09:11:05.384083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T09:11:05.748639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

대분류명중분류명소분류명상위식재료코드상위식재료명설명
0가공식품농산물가공식품가시오가피1392298가시오가피가격은 1kg당이며, 발주는 0.1kg단위로 가능함 / 맛과 향이 좋음.
1가공식품농산물가공식품가지말랭이1392299가지말랭이가격은 1kg당이며, 발주는 0.1kg단위로 가능함 / 국내산 가지를 절단하여 깨끗이 말린 제품
2가공식품농산물가공식품가지말랭이1392300가지말랭이가격은 1kg당이며, 발주는 0.1kg단위로 가능함 / 가지말랭이
3가공식품농산물가공식품가지말랭이1392301가지말랭이가격은 1kg당이며, 발주는 0.1kg단위로 가능함 / 가능
4가공식품농산물가공식품감말랭이1392302감말랭이가격은 1kg당이며, 발주는 0.1kg단위로 가능함 / 국내산 감을 피 제거후 절단하여 깨끝이 말린 제품
5가공식품농산물가공식품감말랭이1392303감말랭이가격은 1kg당이며, 발주는 0.1kg단위로 가능함 / 청도 감을 1/4로 나눠 반건조.
6가공식품농산물가공식품감말랭이1392304감말랭이가격은 1kg당이며, 발주는 0.1kg단위로 가능함 / 감말랭이
7가공식품농산물가공식품감자전분1392305감자전분가격은 1kg당이며, 발주는 0.1kg단위로 가능함 / 국산감자 100%로 만든 감자전분이 99%인 제품입니다. 튀김에 바삭거리는 촉감이나 밀가루제품에 쫄깃한 맛을 부여하기 위하여 혼합사용하는 제품입니다
8가공식품농산물가공식품감자전분1392306감자전분가격은 1kg당이며, 발주는 0.1kg단위로 가능함 / 국산감자 100%로 만든 감자전분이 99%인 제품입니다. 튀김에 바삭거리는 촉감이나 밀가루제품에 쫄깃한 맛을 부여하기 위하여 혼합사용하는 제품입니다
9가공식품농산물가공식품감초1392307감초가격은 1kg당이며, 발주는 0.1kg단위로 가능함 / 형태가 잘 잡혀져있으며 향이 좋음. 슬라이스 됨.
대분류명중분류명소분류명상위식재료코드상위식재료명설명
2680농산물조미채소류양파1397496양파(피)가격은 1kg당이며, 발주는 0.1kg단위로 가능함/피상태의 양파 그대로 공급
2681농산물서류고구마3397435고구마_대체_20240408고구마_대체_20240408
2682농산물과일과채류방울토마토3397495방울토마토가격은 1kg당이며, 발주는 0.75kg단위로 가능함/신선한 샐러드에 사용할 수 있는 작은 방울토마토
2683농산물과일과채류메론3397496메론가격은 1kg당이며, 발주는 1.6kg단위로 가능함/메론/머스크 (4수/8kg)
2684농산물과채류오이3397497백오이가격은 1kg당이며, 발주는 0.3kg단위로 가능함/백침(오이 표면 가시 색상)계열의 백오이 생산 공급
2685농산물조미채소류실파3397515실파가격은 1kg당이며, 발주는 0.3kg단위로 가능함
2686농산물양채류양상추3397516깐양상추깐양상추/0.3kg/
2687농산물양채류브로콜리3397535브로콜리가격은 1kg당이며, 발주는 0.35kg단위로 가능함
2688농산물과채류애호박3397595자연애호박(벌크)가격은 1kg당이며, 발주는 0.25kg단위로 가능함 / 가능
2689농산물양곡부류찹쌀3397615찹쌀찹쌀/국내산/1kg-대체사입