Overview

Dataset statistics

Number of variables6
Number of observations361
Missing cells17
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.4 KiB
Average record size in memory49.4 B

Variable types

Numeric1
Text4
DateTime1

Dataset

Description용인시 관내 식품제조 가공업체 정보입니다.
Author경기도 용인시
URLhttps://www.data.go.kr/data/3063528/fileData.do

Alerts

식품의유형 has 17 (4.7%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:17:25.981742
Analysis finished2023-12-12 08:17:27.212921
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct361
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean181
Minimum1
Maximum361
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T17:17:27.329599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19
Q191
median181
Q3271
95-th percentile343
Maximum361
Range360
Interquartile range (IQR)180

Descriptive statistics

Standard deviation104.35596
Coefficient of variation (CV)0.57655227
Kurtosis-1.2
Mean181
Median Absolute Deviation (MAD)90
Skewness0
Sum65341
Variance10890.167
MonotonicityStrictly increasing
2023-12-12T17:17:27.515267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
249 1
 
0.3%
247 1
 
0.3%
246 1
 
0.3%
245 1
 
0.3%
244 1
 
0.3%
243 1
 
0.3%
242 1
 
0.3%
241 1
 
0.3%
240 1
 
0.3%
Other values (351) 351
97.2%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
361 1
0.3%
360 1
0.3%
359 1
0.3%
358 1
0.3%
357 1
0.3%
356 1
0.3%
355 1
0.3%
354 1
0.3%
353 1
0.3%
352 1
0.3%

업소명
Text

Distinct356
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-12T17:17:27.826247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length18
Mean length6.8698061
Min length2

Characters and Unicode

Total characters2480
Distinct characters387
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique351 ?
Unique (%)97.2%

Sample

1st row영미산업주식회사
2nd row백암식품
3rd row로얄제과(주)
4th row삼영식품
5th row형제식품
ValueCountFrequency (%)
주식회사 20
 
4.6%
주 3
 
0.7%
농업회사법인 3
 
0.7%
용인공장 3
 
0.7%
신한식품 2
 
0.5%
롯데푸드 2
 
0.5%
미스터빈스 2
 
0.5%
좋구먼식품 2
 
0.5%
형제식품 2
 
0.5%
coffee 2
 
0.5%
Other values (394) 397
90.6%
2023-12-12T17:17:28.320267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 144
 
5.8%
) 134
 
5.4%
( 133
 
5.4%
식 81
 
3.3%
77
 
3.1%
품 58
 
2.3%
이 53
 
2.1%
드 52
 
2.1%
스 52
 
2.1%
푸 43
 
1.7%
Other values (377) 1653
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1996
80.5%
Close Punctuation 134
 
5.4%
Open Punctuation 133
 
5.4%
Space Separator 77
 
3.1%
Uppercase Letter 68
 
2.7%
Lowercase Letter 58
 
2.3%
Other Punctuation 11
 
0.4%
Decimal Number 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 144
 
7.2%
식 81
 
4.1%
품 58
 
2.9%
이 53
 
2.7%
드 52
 
2.6%
스 52
 
2.6%
푸 43
 
2.2%
사 43
 
2.2%
리 32
 
1.6%
회 31
 
1.6%
Other values (334) 1407
70.5%
Uppercase Letter
ValueCountFrequency (%)
R 7
10.3%
A 7
10.3%
C 7
10.3%
N 6
 
8.8%
T 5
 
7.4%
B 4
 
5.9%
E 4
 
5.9%
P 4
 
5.9%
O 4
 
5.9%
F 4
 
5.9%
Other values (9) 16
23.5%
Lowercase Letter
ValueCountFrequency (%)
e 12
20.7%
o 11
19.0%
f 6
10.3%
a 6
10.3%
c 5
8.6%
l 3
 
5.2%
n 3
 
5.2%
h 2
 
3.4%
i 2
 
3.4%
b 2
 
3.4%
Other values (6) 6
10.3%
Other Punctuation
ValueCountFrequency (%)
& 6
54.5%
. 4
36.4%
' 1
 
9.1%
Close Punctuation
ValueCountFrequency (%)
) 134
100.0%
Open Punctuation
ValueCountFrequency (%)
( 133
100.0%
Space Separator
ValueCountFrequency (%)
77
100.0%
Decimal Number
ValueCountFrequency (%)
2 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1996
80.5%
Common 358
 
14.4%
Latin 126
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 144
 
7.2%
식 81
 
4.1%
품 58
 
2.9%
이 53
 
2.7%
드 52
 
2.6%
스 52
 
2.6%
푸 43
 
2.2%
사 43
 
2.2%
리 32
 
1.6%
회 31
 
1.6%
Other values (334) 1407
70.5%
Latin
ValueCountFrequency (%)
e 12
 
9.5%
o 11
 
8.7%
R 7
 
5.6%
A 7
 
5.6%
C 7
 
5.6%
N 6
 
4.8%
f 6
 
4.8%
a 6
 
4.8%
T 5
 
4.0%
c 5
 
4.0%
Other values (25) 54
42.9%
Common
ValueCountFrequency (%)
) 134
37.4%
( 133
37.2%
77
21.5%
& 6
 
1.7%
. 4
 
1.1%
2 2
 
0.6%
' 1
 
0.3%
- 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1996
80.5%
ASCII 484
 
19.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 144
 
7.2%
식 81
 
4.1%
품 58
 
2.9%
이 53
 
2.7%
드 52
 
2.6%
스 52
 
2.6%
푸 43
 
2.2%
사 43
 
2.2%
리 32
 
1.6%
회 31
 
1.6%
Other values (334) 1407
70.5%
ASCII
ValueCountFrequency (%)
) 134
27.7%
( 133
27.5%
77
15.9%
e 12
 
2.5%
o 11
 
2.3%
R 7
 
1.4%
A 7
 
1.4%
C 7
 
1.4%
N 6
 
1.2%
f 6
 
1.2%
Other values (33) 84
17.4%

등록일자
Date

Distinct331
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum1972-06-28 00:00:00
Maximum2014-02-12 00:00:00
2023-12-12T17:17:28.511975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:17:28.730582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지(도로명)
Text

Distinct348
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-12T17:17:29.138740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length41
Mean length26.268698
Min length18

Characters and Unicode

Total characters9483
Distinct characters205
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique339 ?
Unique (%)93.9%

Sample

1st row용인시 처인구 중부대로1504번길 42 (마평동)
2nd row용인시 처인구 백암면 백암로201번길 32-1
3rd row용인시 처인구 경안천로122번길 15 (고림동)
4th row용인시 기흥구 중부대로 672-9 (상하동)
5th row용인시 처인구 경안천로42번길 20 (마평동)
ValueCountFrequency (%)
용인시 361
 
17.9%
처인구 213
 
10.6%
기흥구 100
 
5.0%
모현면 50
 
2.5%
수지구 48
 
2.4%
양지면 31
 
1.5%
이동면 24
 
1.2%
1층 23
 
1.1%
포곡읍 22
 
1.1%
남사면 21
 
1.0%
Other values (630) 1125
55.7%
2023-12-12T17:17:29.712000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1657
 
17.5%
인 588
 
6.2%
1 462
 
4.9%
구 375
 
4.0%
용 369
 
3.9%
시 361
 
3.8%
로 361
 
3.8%
동 311
 
3.3%
2 284
 
3.0%
) 230
 
2.4%
Other values (195) 4485
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5325
56.2%
Decimal Number 1757
 
18.5%
Space Separator 1657
 
17.5%
Close Punctuation 230
 
2.4%
Open Punctuation 230
 
2.4%
Other Punctuation 132
 
1.4%
Dash Punctuation 118
 
1.2%
Uppercase Letter 33
 
0.3%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 588
 
11.0%
구 375
 
7.0%
용 369
 
6.9%
시 361
 
6.8%
로 361
 
6.8%
동 311
 
5.8%
처 220
 
4.1%
길 171
 
3.2%
번 169
 
3.2%
면 160
 
3.0%
Other values (169) 2240
42.1%
Decimal Number
ValueCountFrequency (%)
1 462
26.3%
2 284
16.2%
3 170
 
9.7%
0 153
 
8.7%
6 148
 
8.4%
4 138
 
7.9%
7 117
 
6.7%
5 110
 
6.3%
9 88
 
5.0%
8 87
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
A 14
42.4%
B 9
27.3%
C 2
 
6.1%
H 2
 
6.1%
E 1
 
3.0%
R 1
 
3.0%
W 1
 
3.0%
O 1
 
3.0%
U 1
 
3.0%
T 1
 
3.0%
Space Separator
ValueCountFrequency (%)
1657
100.0%
Close Punctuation
ValueCountFrequency (%)
) 230
100.0%
Open Punctuation
ValueCountFrequency (%)
( 230
100.0%
Other Punctuation
ValueCountFrequency (%)
, 132
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5325
56.2%
Common 4124
43.5%
Latin 34
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 588
 
11.0%
구 375
 
7.0%
용 369
 
6.9%
시 361
 
6.8%
로 361
 
6.8%
동 311
 
5.8%
처 220
 
4.1%
길 171
 
3.2%
번 169
 
3.2%
면 160
 
3.0%
Other values (169) 2240
42.1%
Common
ValueCountFrequency (%)
1657
40.2%
1 462
 
11.2%
2 284
 
6.9%
) 230
 
5.6%
( 230
 
5.6%
3 170
 
4.1%
0 153
 
3.7%
6 148
 
3.6%
4 138
 
3.3%
, 132
 
3.2%
Other values (5) 520
 
12.6%
Latin
ValueCountFrequency (%)
A 14
41.2%
B 9
26.5%
C 2
 
5.9%
H 2
 
5.9%
E 1
 
2.9%
R 1
 
2.9%
W 1
 
2.9%
O 1
 
2.9%
Ⅲ 1
 
2.9%
U 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5325
56.2%
ASCII 4157
43.8%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1657
39.9%
1 462
 
11.1%
2 284
 
6.8%
) 230
 
5.5%
( 230
 
5.5%
3 170
 
4.1%
0 153
 
3.7%
6 148
 
3.6%
4 138
 
3.3%
, 132
 
3.2%
Other values (15) 553
 
13.3%
Hangul
ValueCountFrequency (%)
인 588
 
11.0%
구 375
 
7.0%
용 369
 
6.9%
시 361
 
6.8%
로 361
 
6.8%
동 311
 
5.8%
처 220
 
4.1%
길 171
 
3.2%
번 169
 
3.2%
면 160
 
3.0%
Other values (169) 2240
42.1%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

식품의종류
Text

Distinct150
Distinct (%)41.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-12T17:17:29.934927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length96
Median length65
Mean length16.520776
Min length4

Characters and Unicode

Total characters5964
Distinct characters84
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

Unique120 ?
Unique (%)33.2%

Sample

1st row 식용유지류, 면류, 장류, 조미식품, 기타식품류, 규격외일반가공식품
2nd row 두부류또는묵류
3rd row 과자류, 과자류, 과자류, 코코아가공품류또는초콜릿류, 특수용도식품
4th row 두부류또는묵류, 장류, 규격외일반가공식품
5th row 두부류또는묵류
ValueCountFrequency (%)
규격외일반가공식품 143
18.0%
기타식품류 90
11.3%
조미식품 76
9.5%
빵또는떡류 59
 
7.4%
커피 58
 
7.3%
다류 48
 
6.0%
과자류 48
 
6.0%
절임식품 41
 
5.2%
장류 33
 
4.1%
음료류 26
 
3.3%
Other values (23) 174
21.9%
2023-12-12T17:17:30.263357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1592
26.7%
품 435
 
7.3%
, 435
 
7.3%
류 427
 
7.2%
식 413
 
6.9%
가 194
 
3.3%
공 194
 
3.3%
격 145
 
2.4%
외 145
 
2.4%
일 145
 
2.4%
Other values (74) 1839
30.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3937
66.0%
Space Separator 1592
26.7%
Other Punctuation 435
 
7.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 435
 
11.0%
류 427
 
10.8%
식 413
 
10.5%
가 194
 
4.9%
공 194
 
4.9%
격 145
 
3.7%
외 145
 
3.7%
일 145
 
3.7%
반 145
 
3.7%
규 145
 
3.7%
Other values (72) 1549
39.3%
Space Separator
ValueCountFrequency (%)
1592
100.0%
Other Punctuation
ValueCountFrequency (%)
, 435
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3937
66.0%
Common 2027
34.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 435
 
11.0%
류 427
 
10.8%
식 413
 
10.5%
가 194
 
4.9%
공 194
 
4.9%
격 145
 
3.7%
외 145
 
3.7%
일 145
 
3.7%
반 145
 
3.7%
규 145
 
3.7%
Other values (72) 1549
39.3%
Common
ValueCountFrequency (%)
1592
78.5%
, 435
 
21.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3937
66.0%
ASCII 2027
34.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1592
78.5%
, 435
 
21.5%
Hangul
ValueCountFrequency (%)
품 435
 
11.0%
류 427
 
10.8%
식 413
 
10.5%
가 194
 
4.9%
공 194
 
4.9%
격 145
 
3.7%
외 145
 
3.7%
일 145
 
3.7%
반 145
 
3.7%
규 145
 
3.7%
Other values (72) 1549
39.3%

식품의유형
Text

MISSING 

Distinct204
Distinct (%)59.3%
Missing17
Missing (%)4.7%
Memory size2.9 KiB
2023-12-12T17:17:30.502855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length211
Median length115
Mean length20.174419
Min length4

Characters and Unicode

Total characters6940
Distinct characters194
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

Unique175 ?
Unique (%)50.9%

Sample

1st row 콩기름(대두유), 옥수수기름(옥배유), 채종유(유채유또는카놀라유), 해바라기유, 정제올리브유, 향미유, 기타식용유지, 재래한식간장, 한식된장, 고추장, 혼합장, 발효식초, 합성식초, 소스류, 천연향신료, 향신료조제품, 복합조미식품, 기타전분, 조미김, 식물성크림, 당류가공품, 기타가공품, 기타가공품
2nd row 두부
3rd row 복합영양보충용제품, 과자, 과자(비스킷), 과자(쿠키), 캔디류, 캔디류(사탕), 빵류, 초콜릿, 스위트초콜릿, 밀크초콜릿, 준초콜릿, 초콜릿가공품
4th row 두부, 가공두부, 묵류, 청국장, 두류가공품
5th row 두부
ValueCountFrequency (%)
기타가공품 82
 
8.4%
소스류 55
 
5.6%
볶은커피 53
 
5.4%
수산물가공품 46
 
4.7%
빵류 35
 
3.6%
곡류가공품 28
 
2.9%
복합조미식품 22
 
2.3%
즉석조리식품 22
 
2.3%
떡류 21
 
2.1%
액상차 20
 
2.0%
Other values (148) 593
60.7%
2023-12-12T17:17:30.893509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1939
27.9%
, 618
 
8.9%
품 345
 
5.0%
류 274
 
3.9%
가 259
 
3.7%
공 255
 
3.7%
식 140
 
2.0%
기 135
 
1.9%
타 128
 
1.8%
조 104
 
1.5%
Other values (184) 2743
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4196
60.5%
Space Separator 1939
27.9%
Other Punctuation 645
 
9.3%
Open Punctuation 80
 
1.2%
Close Punctuation 80
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 345
 
8.2%
류 274
 
6.5%
가 259
 
6.2%
공 255
 
6.1%
식 140
 
3.3%
기 135
 
3.2%
타 128
 
3.1%
조 104
 
2.5%
과 84
 
2.0%
빵 80
 
1.9%
Other values (179) 2392
57.0%
Other Punctuation
ValueCountFrequency (%)
, 618
95.8%
. 27
 
4.2%
Space Separator
ValueCountFrequency (%)
1939
100.0%
Open Punctuation
ValueCountFrequency (%)
( 80
100.0%
Close Punctuation
ValueCountFrequency (%)
) 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4196
60.5%
Common 2744
39.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 345
 
8.2%
류 274
 
6.5%
가 259
 
6.2%
공 255
 
6.1%
식 140
 
3.3%
기 135
 
3.2%
타 128
 
3.1%
조 104
 
2.5%
과 84
 
2.0%
빵 80
 
1.9%
Other values (179) 2392
57.0%
Common
ValueCountFrequency (%)
1939
70.7%
, 618
 
22.5%
( 80
 
2.9%
) 80
 
2.9%
. 27
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4196
60.5%
ASCII 2744
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1939
70.7%
, 618
 
22.5%
( 80
 
2.9%
) 80
 
2.9%
. 27
 
1.0%
Hangul
ValueCountFrequency (%)
품 345
 
8.2%
류 274
 
6.5%
가 259
 
6.2%
공 255
 
6.1%
식 140
 
3.3%
기 135
 
3.2%
타 128
 
3.1%
조 104
 
2.5%
과 84
 
2.0%
빵 80
 
1.9%
Other values (179) 2392
57.0%

Interactions

2023-12-12T17:17:26.484762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T17:17:26.625311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:17:27.139829image/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

번호업소명등록일자소재지(도로명)식품의종류식품의유형
01영미산업주식회사1972-11-06용인시 처인구 중부대로1504번길 42 (마평동)식용유지류, 면류, 장류, 조미식품, 기타식품류, 규격외일반가공식품콩기름(대두유), 옥수수기름(옥배유), 채종유(유채유또는카놀라유), 해바라기유, 정제올리브유, 향미유, 기타식용유지, 재래한식간장, 한식된장, 고추장, 혼합장, 발효식초, 합성식초, 소스류, 천연향신료, 향신료조제품, 복합조미식품, 기타전분, 조미김, 식물성크림, 당류가공품, 기타가공품, 기타가공품
12백암식품1972-06-28용인시 처인구 백암면 백암로201번길 32-1두부류또는묵류두부
23로얄제과(주)1973-10-15용인시 처인구 경안천로122번길 15 (고림동)과자류, 과자류, 과자류, 코코아가공품류또는초콜릿류, 특수용도식품복합영양보충용제품, 과자, 과자(비스킷), 과자(쿠키), 캔디류, 캔디류(사탕), 빵류, 초콜릿, 스위트초콜릿, 밀크초콜릿, 준초콜릿, 초콜릿가공품
34삼영식품1973-01-03용인시 기흥구 중부대로 672-9 (상하동)두부류또는묵류, 장류, 규격외일반가공식품두부, 가공두부, 묵류, 청국장, 두류가공품
45형제식품1973-02-13용인시 처인구 경안천로42번길 20 (마평동)두부류또는묵류두부
56갑윤식품1974-03-23용인시 처인구 포곡읍 포곡로234번길 14-2두부류또는묵류두부
67대상(주)기흥공장1980-12-09용인시 기흥구 동탄기흥로681번길 28 (농서동)식육또는알가공품, 식용유지류, 조미식품, 드레싱, 기타식품류, 규격외일반가공식품식육가공품, 마가린, 기타식용유지, 소스류, 토마토케첩, 카레분, 카레, 천연향신료, 향신료조제품, 복합조미식품, 드레싱, 마요네즈, 과.채가공품, 정제소금, 가공소금, 즉석섭취식품, 즉석조리식품, 곡류가공품, 두류가공품, 전분가공품, 당류가공품, 기타가공품, 기타가공품
78한국민속촌1981-12-03용인시 기흥구 민속촌로 90 (보라동)엿류, 엿류, 식용유지류기타엿, 묵류, 참기름, 들기름
89(주)한불화농1983-03-30용인시 기흥구 언동로 192 (상하동)코코아가공품류또는초콜릿류, 잼류, 다류, 조미식품, 기타식품류, 규격외일반가공식품기타코코아가공품, 기타잼류, 액상차, 소스류, 과.채가공품, 추출가공식품, 서류가공품, 당류가공품, 기타가공품
910경기냉장(주)1983-05-13용인시 기흥구 용구대로 2426 (마북동)김치류기타김치
번호업소명등록일자소재지(도로명)식품의종류식품의유형
351352콩단지2013-12-12용인시 기흥구 한일로9번길 3 (공세동, 105호)커피볶은커피
352353다올수산2014-01-10용인시 처인구 이동면 상덕로 2 (A동)규격외일반가공식품수산물가공품
353354이월로스터스2014-01-15용인시 수지구 문인로31번길 21-7 (풍덕천동, 1층일부)커피볶은커피
354355티지이(TGE)2014-01-16용인시 기흥구 죽전로 17 (보정동, 풍산프라자 601호)다류침출차
355356(주)모두모아2014-01-21용인시 처인구 양지면 은이로 105규격외일반가공식품<NA>
356357(주)뺑오르방 씨엘2014-01-27용인시 기흥구 동백중앙로16번길 16-25 (중동, 대우프론티어밸리1 602호)과자류, 빵또는떡류, 코코아가공품류또는초콜릿류, 잼류과자(비스킷), 과자(쿠키), 빵류(식빵), 빵류(케이크), 빵류(카스텔라), 빵류(파이), 빵류(그외 빵류), 떡류, 초콜릿, 잼
357358에이스푸드원2014-01-28용인시 기흥구 고매로242번길 8-1 (고매동, 가동)과자류과자(비스킷)
358359패러데이커피2014-01-28용인시 기흥구 동백중앙로16번길 16-4 (중동, 에이스동백타워 2동 508호)커피볶은커피
359360초록바다수산2014-02-12용인시 기흥구 용구대로2152번길 39 (신갈동, 드림랜드A상가 107동 101-가호)규격외일반가공식품수산물가공품
360361아라나라2014-02-12용인시 기흥구 용구대로2152번길 39 (신갈동, 드림랜드A상가 107동 101-나호)규격외일반가공식품수산물가공품