Overview

Dataset statistics

Number of variables21
Number of observations430
Missing cells2804
Missing cells (%)31.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory75.3 KiB
Average record size in memory179.3 B

Variable types

Categorical6
Text4
DateTime2
Unsupported2
Numeric7

Dataset

Description축산물 보관업체 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=78TQ919T83IO0WCV3TB8335807&infSeq=1

Alerts

축산업무구분명 has constant value ""Constant
인허가취소일자 has 430 (100.0%) missing valuesMissing
폐업일자 has 350 (81.4%) missing valuesMissing
소재지시설전화번호 has 348 (80.9%) missing valuesMissing
소재지면적정보 has 293 (68.1%) missing valuesMissing
도로명우편번호 has 304 (70.7%) missing valuesMissing
소재지도로명주소 has 16 (3.7%) missing valuesMissing
소재지우편번호 has 11 (2.6%) missing valuesMissing
WGS84위도 has 10 (2.3%) missing valuesMissing
WGS84경도 has 10 (2.3%) missing valuesMissing
업태구분명정보 has 430 (100.0%) missing valuesMissing
X좌표값 has 301 (70.0%) missing valuesMissing
Y좌표값 has 301 (70.0%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 has 36 (8.4%) zerosZeros

Reproduction

Analysis started2023-12-10 21:26:23.092014
Analysis finished2023-12-10 21:26:23.638531
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct29
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
용인시
94 
안성시
55 
광주시
53 
이천시
52 
평택시
28 
Other values (24)
148 

Length

Max length4
Median length3
Mean length3.027907
Min length3

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
용인시 94
21.9%
안성시 55
12.8%
광주시 53
12.3%
이천시 52
12.1%
평택시 28
 
6.5%
파주시 16
 
3.7%
김포시 16
 
3.7%
고양시 12
 
2.8%
화성시 11
 
2.6%
오산시 10
 
2.3%
Other values (19) 83
19.3%

Length

2023-12-11T06:26:23.694184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
용인시 94
21.9%
안성시 55
12.8%
광주시 53
12.3%
이천시 52
12.1%
평택시 28
 
6.5%
파주시 16
 
3.7%
김포시 16
 
3.7%
고양시 12
 
2.8%
화성시 11
 
2.6%
오산시 10
 
2.3%
Other values (19) 83
19.3%

사업장명
Text

Distinct363
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-11T06:26:23.868903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length9.544186
Min length4

Characters and Unicode

Total characters4104
Distinct characters304
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique313 ?
Unique (%)72.8%

Sample

1st row일산냉장
2nd row육차원 B&F
3rd row대명냉장
4th row우리축산
5th row(주)선일냉동
ValueCountFrequency (%)
주식회사 61
 
10.3%
주)제때 7
 
1.2%
주 6
 
1.0%
주)에스피씨지에프에스 6
 
1.0%
엑소후레쉬물류(주 6
 
1.0%
씨제이대한통운(주 6
 
1.0%
주)현대그린푸드 5
 
0.8%
주)비지에프로지스 5
 
0.8%
주)아워홈 5
 
0.8%
농업회사법인 5
 
0.8%
Other values (401) 483
81.2%
2023-12-11T06:26:24.163573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 362
 
8.8%
) 289
 
7.0%
( 287
 
7.0%
165
 
4.0%
스 137
 
3.3%
사 90
 
2.2%
지 88
 
2.1%
물 88
 
2.1%
류 87
 
2.1%
이 82
 
2.0%
Other values (294) 2429
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3309
80.6%
Close Punctuation 289
 
7.0%
Open Punctuation 287
 
7.0%
Space Separator 165
 
4.0%
Uppercase Letter 41
 
1.0%
Decimal Number 7
 
0.2%
Other Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 362
 
10.9%
스 137
 
4.1%
사 90
 
2.7%
지 88
 
2.7%
물 88
 
2.7%
류 87
 
2.6%
이 82
 
2.5%
에 79
 
2.4%
식 79
 
2.4%
회 76
 
2.3%
Other values (271) 2141
64.7%
Uppercase Letter
ValueCountFrequency (%)
C 8
19.5%
J 7
17.1%
A 6
14.6%
S 5
12.2%
G 3
 
7.3%
L 2
 
4.9%
T 2
 
4.9%
F 2
 
4.9%
D 1
 
2.4%
K 1
 
2.4%
Other values (4) 4
9.8%
Decimal Number
ValueCountFrequency (%)
2 4
57.1%
1 2
28.6%
3 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
. 3
50.0%
& 2
33.3%
/ 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 289
100.0%
Open Punctuation
ValueCountFrequency (%)
( 287
100.0%
Space Separator
ValueCountFrequency (%)
165
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3309
80.6%
Common 754
 
18.4%
Latin 41
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 362
 
10.9%
스 137
 
4.1%
사 90
 
2.7%
지 88
 
2.7%
물 88
 
2.7%
류 87
 
2.6%
이 82
 
2.5%
에 79
 
2.4%
식 79
 
2.4%
회 76
 
2.3%
Other values (271) 2141
64.7%
Latin
ValueCountFrequency (%)
C 8
19.5%
J 7
17.1%
A 6
14.6%
S 5
12.2%
G 3
 
7.3%
L 2
 
4.9%
T 2
 
4.9%
F 2
 
4.9%
D 1
 
2.4%
K 1
 
2.4%
Other values (4) 4
9.8%
Common
ValueCountFrequency (%)
) 289
38.3%
( 287
38.1%
165
21.9%
2 4
 
0.5%
. 3
 
0.4%
1 2
 
0.3%
& 2
 
0.3%
3 1
 
0.1%
/ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3309
80.6%
ASCII 795
 
19.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 362
 
10.9%
스 137
 
4.1%
사 90
 
2.7%
지 88
 
2.7%
물 88
 
2.7%
류 87
 
2.6%
이 82
 
2.5%
에 79
 
2.4%
식 79
 
2.4%
회 76
 
2.3%
Other values (271) 2141
64.7%
ASCII
ValueCountFrequency (%)
) 289
36.4%
( 287
36.1%
165
20.8%
C 8
 
1.0%
J 7
 
0.9%
A 6
 
0.8%
S 5
 
0.6%
2 4
 
0.5%
G 3
 
0.4%
. 3
 
0.4%
Other values (13) 18
 
2.3%

인허가일자
Date

Distinct364
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum1976-07-05 00:00:00
Maximum2023-12-04 00:00:00
2023-12-11T06:26:24.266942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:26:24.370571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing430
Missing (%)100.0%
Memory size3.9 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
293 
0
116 
2
 
17
4
 
4

Length

Max length4
Median length4
Mean length3.044186
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 293
68.1%
0 116
 
27.0%
2 17
 
4.0%
4 4
 
0.9%

Length

2023-12-11T06:26:24.473838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:26:24.561091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 293
68.1%
0 116
 
27.0%
2 17
 
4.0%
4 4
 
0.9%

영업상태명
Categorical

Distinct6
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
운영중
231 
정상
116 
폐업 등
58 
폐업
 
17
휴업 등
 
4

Length

Max length4
Median length3
Mean length2.8255814
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 231
53.7%
정상 116
27.0%
폐업 등 58
 
13.5%
폐업 17
 
4.0%
휴업 등 4
 
0.9%
말소 4
 
0.9%

Length

2023-12-11T06:26:24.650304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:26:24.741888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 231
47.0%
정상 116
23.6%
폐업 75
 
15.2%
등 62
 
12.6%
휴업 4
 
0.8%
말소 4
 
0.8%

폐업일자
Date

MISSING 

Distinct74
Distinct (%)92.5%
Missing350
Missing (%)81.4%
Memory size3.5 KiB
Minimum1999-04-21 00:00:00
Maximum2023-11-29 00:00:00
2023-12-11T06:26:24.835937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:26:24.951222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct80
Distinct (%)97.6%
Missing348
Missing (%)80.9%
Memory size3.5 KiB
2023-12-11T06:26:25.172130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.853659
Min length8

Characters and Unicode

Total characters972
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)95.1%

Sample

1st row02-864-6592
2nd row02-6430-0330
3rd row031-330-2406
4th row07074918359
5th row070-8662-8859
ValueCountFrequency (%)
031-8000-9777 2
 
2.4%
031-629-1536 2
 
2.4%
1588-8161 1
 
1.2%
031-525-2417 1
 
1.2%
031-632-2235 1
 
1.2%
031-636-7320 1
 
1.2%
031-8011-9614 1
 
1.2%
031-636-2920 1
 
1.2%
031-633-2216 1
 
1.2%
031-601-8107 1
 
1.2%
Other values (70) 70
85.4%
2023-12-11T06:26:25.472879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 152
15.6%
0 147
15.1%
3 129
13.3%
1 111
11.4%
2 80
8.2%
6 76
7.8%
5 66
6.8%
7 58
 
6.0%
8 56
 
5.8%
9 50
 
5.1%
Other values (2) 47
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 819
84.3%
Dash Punctuation 152
 
15.6%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 147
17.9%
3 129
15.8%
1 111
13.6%
2 80
9.8%
6 76
9.3%
5 66
8.1%
7 58
 
7.1%
8 56
 
6.8%
9 50
 
6.1%
4 46
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 972
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 152
15.6%
0 147
15.1%
3 129
13.3%
1 111
11.4%
2 80
8.2%
6 76
7.8%
5 66
6.8%
7 58
 
6.0%
8 56
 
5.8%
9 50
 
5.1%
Other values (2) 47
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 972
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 152
15.6%
0 147
15.1%
3 129
13.3%
1 111
11.4%
2 80
8.2%
6 76
7.8%
5 66
6.8%
7 58
 
6.0%
8 56
 
5.8%
9 50
 
5.1%
Other values (2) 47
 
4.8%

소재지면적정보
Real number (ℝ)

MISSING  ZEROS 

Distinct102
Distinct (%)74.5%
Missing293
Missing (%)68.1%
Infinite0
Infinite (%)0.0%
Mean4886.7546
Minimum0
Maximum101271
Zeros36
Zeros (%)8.4%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T06:26:25.587387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1485.7
Q35174.74
95-th percentile18716.4
Maximum101271
Range101271
Interquartile range (IQR)5174.74

Descriptive statistics

Standard deviation10663.193
Coefficient of variation (CV)2.1820603
Kurtosis49.609013
Mean4886.7546
Median Absolute Deviation (MAD)1485.7
Skewness6.041914
Sum669485.38
Variance1.1370369 × 108
MonotonicityNot monotonic
2023-12-11T06:26:25.694885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 36
 
8.4%
2406.0 1
 
0.2%
21826.0 1
 
0.2%
2077.4 1
 
0.2%
8247.0 1
 
0.2%
43.5 1
 
0.2%
276.0 1
 
0.2%
1832.0 1
 
0.2%
29084.0 1
 
0.2%
765.4 1
 
0.2%
Other values (92) 92
 
21.4%
(Missing) 293
68.1%
ValueCountFrequency (%)
0.0 36
8.4%
26.8 1
 
0.2%
35.83 1
 
0.2%
43.5 1
 
0.2%
65.99 1
 
0.2%
99.17 1
 
0.2%
110.22 1
 
0.2%
120.0 1
 
0.2%
139.58 1
 
0.2%
192.7 1
 
0.2%
ValueCountFrequency (%)
101271.0 1
0.2%
37718.0 1
0.2%
29084.0 1
0.2%
27630.0 1
0.2%
25506.0 1
0.2%
23584.0 1
0.2%
21826.0 1
0.2%
17939.0 1
0.2%
17139.0 1
0.2%
16566.82 1
0.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)62.7%
Missing304
Missing (%)70.7%
Infinite0
Infinite (%)0.0%
Mean16354.984
Minimum10135
Maximum18628
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T06:26:25.997734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10135
5-th percentile10833
Q116717.75
median17392
Q317554
95-th percentile18431.75
Maximum18628
Range8493
Interquartile range (IQR)836.25

Descriptive statistics

Standard deviation2268.3825
Coefficient of variation (CV)0.13869671
Kurtosis0.8605305
Mean16354.984
Median Absolute Deviation (MAD)277
Skewness-1.4985053
Sum2060728
Variance5145559.3
MonotonicityNot monotonic
2023-12-11T06:26:26.131699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17501 11
 
2.6%
17525 7
 
1.6%
17118 5
 
1.2%
12814 4
 
0.9%
17115 4
 
0.9%
17099 3
 
0.7%
12729 3
 
0.7%
17402 3
 
0.7%
17396 3
 
0.7%
17392 3
 
0.7%
Other values (69) 80
 
18.6%
(Missing) 304
70.7%
ValueCountFrequency (%)
10135 1
0.2%
10136 1
0.2%
10813 1
0.2%
10825 2
0.5%
10828 1
0.2%
10831 1
0.2%
10839 1
0.2%
11139 1
0.2%
11510 1
0.2%
12717 1
0.2%
ValueCountFrequency (%)
18628 1
 
0.2%
18524 1
 
0.2%
18512 2
0.5%
18509 1
 
0.2%
18465 2
0.5%
18332 1
 
0.2%
18150 1
 
0.2%
18137 3
0.7%
18126 1
 
0.2%
17998 1
 
0.2%

소재지도로명주소
Text

MISSING 

Distinct341
Distinct (%)82.4%
Missing16
Missing (%)3.7%
Memory size3.5 KiB
2023-12-11T06:26:26.401065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length47
Mean length25.601449
Min length15

Characters and Unicode

Total characters10599
Distinct characters278
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

Unique281 ?
Unique (%)67.9%

Sample

1st row경기도 고양시 일산동구 장항로225번길 195 (장항동)
2nd row경기도 고양시 일산서구 덕산로57번길 27-25 (구산동)
3rd row경기도 고양시 일산동구 장항로 313-8 (장항동)
4th row경기도 고양시 일산서구 덕산로65번길 19 (구산동)
5th row경기도 고양시 덕양구 통일로 1028-26 (관산동)
ValueCountFrequency (%)
경기도 414
 
17.4%
용인시 90
 
3.8%
처인구 57
 
2.4%
안성시 54
 
2.3%
광주시 52
 
2.2%
이천시 51
 
2.1%
기흥구 30
 
1.3%
평택시 28
 
1.2%
마장면 23
 
1.0%
1층 20
 
0.8%
Other values (763) 1559
65.6%
2023-12-11T06:26:26.776658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1967
 
18.6%
기 461
 
4.3%
도 458
 
4.3%
경 440
 
4.2%
시 425
 
4.0%
로 383
 
3.6%
1 374
 
3.5%
2 262
 
2.5%
동 209
 
2.0%
3 204
 
1.9%
Other values (268) 5416
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6211
58.6%
Space Separator 1967
 
18.6%
Decimal Number 1777
 
16.8%
Close Punctuation 163
 
1.5%
Open Punctuation 163
 
1.5%
Other Punctuation 131
 
1.2%
Dash Punctuation 129
 
1.2%
Uppercase Letter 54
 
0.5%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 461
 
7.4%
도 458
 
7.4%
경 440
 
7.1%
시 425
 
6.8%
로 383
 
6.2%
동 209
 
3.4%
면 175
 
2.8%
인 160
 
2.6%
구 127
 
2.0%
길 120
 
1.9%
Other values (234) 3253
52.4%
Uppercase Letter
ValueCountFrequency (%)
A 15
27.8%
B 13
24.1%
L 4
 
7.4%
X 4
 
7.4%
F 3
 
5.6%
P 2
 
3.7%
S 2
 
3.7%
G 2
 
3.7%
C 2
 
3.7%
M 1
 
1.9%
Other values (6) 6
 
11.1%
Decimal Number
ValueCountFrequency (%)
1 374
21.0%
2 262
14.7%
3 204
11.5%
4 153
8.6%
5 142
 
8.0%
7 140
 
7.9%
0 138
 
7.8%
8 126
 
7.1%
6 126
 
7.1%
9 112
 
6.3%
Other Punctuation
ValueCountFrequency (%)
, 128
97.7%
/ 2
 
1.5%
. 1
 
0.8%
Space Separator
ValueCountFrequency (%)
1967
100.0%
Close Punctuation
ValueCountFrequency (%)
) 163
100.0%
Open Punctuation
ValueCountFrequency (%)
( 163
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 129
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6211
58.6%
Common 4334
40.9%
Latin 54
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 461
 
7.4%
도 458
 
7.4%
경 440
 
7.1%
시 425
 
6.8%
로 383
 
6.2%
동 209
 
3.4%
면 175
 
2.8%
인 160
 
2.6%
구 127
 
2.0%
길 120
 
1.9%
Other values (234) 3253
52.4%
Common
ValueCountFrequency (%)
1967
45.4%
1 374
 
8.6%
2 262
 
6.0%
3 204
 
4.7%
) 163
 
3.8%
( 163
 
3.8%
4 153
 
3.5%
5 142
 
3.3%
7 140
 
3.2%
0 138
 
3.2%
Other values (8) 628
 
14.5%
Latin
ValueCountFrequency (%)
A 15
27.8%
B 13
24.1%
L 4
 
7.4%
X 4
 
7.4%
F 3
 
5.6%
P 2
 
3.7%
S 2
 
3.7%
G 2
 
3.7%
C 2
 
3.7%
M 1
 
1.9%
Other values (6) 6
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6211
58.6%
ASCII 4388
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1967
44.8%
1 374
 
8.5%
2 262
 
6.0%
3 204
 
4.6%
) 163
 
3.7%
( 163
 
3.7%
4 153
 
3.5%
5 142
 
3.2%
7 140
 
3.2%
0 138
 
3.1%
Other values (24) 682
 
15.5%
Hangul
ValueCountFrequency (%)
기 461
 
7.4%
도 458
 
7.4%
경 440
 
7.1%
시 425
 
6.8%
로 383
 
6.2%
동 209
 
3.4%
면 175
 
2.8%
인 160
 
2.6%
구 127
 
2.0%
길 120
 
1.9%
Other values (234) 3253
52.4%

소재지지번주소
Text

Distinct377
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-11T06:26:27.023427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length36
Mean length22.946512
Min length11

Characters and Unicode

Total characters9867
Distinct characters243
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

Unique334 ?
Unique (%)77.7%

Sample

1st row경기도 고양시 일산동구 장항동 548-12번지
2nd row경기도 고양시 일산서구 구산동 277-3번지
3rd row경기도 고양시 일산동구 장항동 546-31번지
4th row경기도 고양시 일산서구 구산동 249-5번지
5th row경기도 고양시 덕양구 관산동 685-57번지
ValueCountFrequency (%)
경기도 430
 
19.3%
용인시 94
 
4.2%
처인구 58
 
2.6%
안성시 55
 
2.5%
광주시 53
 
2.4%
이천시 52
 
2.3%
기흥구 33
 
1.5%
평택시 28
 
1.3%
마장면 23
 
1.0%
도척면 18
 
0.8%
Other values (709) 1388
62.2%
2023-12-11T06:26:27.384451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1943
19.7%
기 465
 
4.7%
도 461
 
4.7%
시 438
 
4.4%
경 430
 
4.4%
지 353
 
3.6%
1 331
 
3.4%
번 291
 
2.9%
- 289
 
2.9%
리 269
 
2.7%
Other values (233) 4597
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5949
60.3%
Space Separator 1943
 
19.7%
Decimal Number 1625
 
16.5%
Dash Punctuation 289
 
2.9%
Uppercase Letter 36
 
0.4%
Other Punctuation 10
 
0.1%
Open Punctuation 7
 
0.1%
Close Punctuation 7
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 465
 
7.8%
도 461
 
7.7%
시 438
 
7.4%
경 430
 
7.2%
지 353
 
5.9%
번 291
 
4.9%
리 269
 
4.5%
동 198
 
3.3%
면 181
 
3.0%
인 153
 
2.6%
Other values (200) 2710
45.6%
Uppercase Letter
ValueCountFrequency (%)
B 7
19.4%
A 6
16.7%
L 4
11.1%
X 4
11.1%
S 2
 
5.6%
C 2
 
5.6%
F 2
 
5.6%
U 1
 
2.8%
M 1
 
2.8%
R 1
 
2.8%
Other values (6) 6
16.7%
Decimal Number
ValueCountFrequency (%)
1 331
20.4%
2 218
13.4%
5 195
12.0%
3 171
10.5%
4 168
10.3%
6 133
8.2%
0 117
 
7.2%
7 108
 
6.6%
9 102
 
6.3%
8 82
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 9
90.0%
. 1
 
10.0%
Space Separator
ValueCountFrequency (%)
1943
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 289
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5949
60.3%
Common 3882
39.3%
Latin 36
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 465
 
7.8%
도 461
 
7.7%
시 438
 
7.4%
경 430
 
7.2%
지 353
 
5.9%
번 291
 
4.9%
리 269
 
4.5%
동 198
 
3.3%
면 181
 
3.0%
인 153
 
2.6%
Other values (200) 2710
45.6%
Common
ValueCountFrequency (%)
1943
50.1%
1 331
 
8.5%
- 289
 
7.4%
2 218
 
5.6%
5 195
 
5.0%
3 171
 
4.4%
4 168
 
4.3%
6 133
 
3.4%
0 117
 
3.0%
7 108
 
2.8%
Other values (7) 209
 
5.4%
Latin
ValueCountFrequency (%)
B 7
19.4%
A 6
16.7%
L 4
11.1%
X 4
11.1%
S 2
 
5.6%
C 2
 
5.6%
F 2
 
5.6%
U 1
 
2.8%
M 1
 
2.8%
R 1
 
2.8%
Other values (6) 6
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5949
60.3%
ASCII 3918
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1943
49.6%
1 331
 
8.4%
- 289
 
7.4%
2 218
 
5.6%
5 195
 
5.0%
3 171
 
4.4%
4 168
 
4.3%
6 133
 
3.4%
0 117
 
3.0%
7 108
 
2.8%
Other values (23) 245
 
6.3%
Hangul
ValueCountFrequency (%)
기 465
 
7.8%
도 461
 
7.7%
시 438
 
7.4%
경 430
 
7.2%
지 353
 
5.9%
번 291
 
4.9%
리 269
 
4.5%
동 198
 
3.3%
면 181
 
3.0%
인 153
 
2.6%
Other values (200) 2710
45.6%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct213
Distinct (%)50.8%
Missing11
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean15499.115
Minimum10026
Maximum18628
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T06:26:27.506830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10026
5-th percentile10428
Q112814
median17099
Q317403.5
95-th percentile17998
Maximum18628
Range8602
Interquartile range (IQR)4589.5

Descriptive statistics

Standard deviation2614.58
Coefficient of variation (CV)0.16869222
Kurtosis-0.91507285
Mean15499.115
Median Absolute Deviation (MAD)614
Skewness-0.80838597
Sum6494129
Variance6836028.5
MonotonicityNot monotonic
2023-12-11T06:26:27.645255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12814 15
 
3.5%
17525 13
 
3.0%
17383 12
 
2.8%
17501 12
 
2.8%
17118 9
 
2.1%
10136 8
 
1.9%
17099 7
 
1.6%
17392 7
 
1.6%
17166 6
 
1.4%
17389 6
 
1.4%
Other values (203) 324
75.3%
(Missing) 11
 
2.6%
ValueCountFrequency (%)
10026 1
 
0.2%
10039 2
 
0.5%
10117 1
 
0.2%
10135 2
 
0.5%
10136 8
1.9%
10204 2
 
0.5%
10258 1
 
0.2%
10266 1
 
0.2%
10314 2
 
0.5%
10428 2
 
0.5%
ValueCountFrequency (%)
18628 1
 
0.2%
18595 1
 
0.2%
18524 1
 
0.2%
18512 2
 
0.5%
18509 1
 
0.2%
18465 2
 
0.5%
18332 1
 
0.2%
18293 1
 
0.2%
18150 4
0.9%
18137 5
1.2%

WGS84위도
Real number (ℝ)

MISSING 

Distinct302
Distinct (%)71.9%
Missing10
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean37.306076
Minimum36.927324
Maximum38.036806
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T06:26:27.767248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.927324
5-th percentile36.989265
Q137.144116
median37.263858
Q337.388886
95-th percentile37.805386
Maximum38.036806
Range1.1094822
Interquartile range (IQR)0.2447696

Descriptive statistics

Standard deviation0.22535895
Coefficient of variation (CV)0.0060408107
Kurtosis0.56171951
Mean37.306076
Median Absolute Deviation (MAD)0.12148593
Skewness0.94154482
Sum15668.552
Variance0.050786654
MonotonicityNot monotonic
2023-12-11T06:26:27.884143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3303008024 6
 
1.4%
37.0880948518 6
 
1.4%
37.3125688566 6
 
1.4%
37.1290957631 5
 
1.2%
37.1402636525 5
 
1.2%
37.2529497828 4
 
0.9%
37.1441159983 4
 
0.9%
37.1766221327 4
 
0.9%
37.3853436494 3
 
0.7%
37.0866580245 3
 
0.7%
Other values (292) 374
87.0%
(Missing) 10
 
2.3%
ValueCountFrequency (%)
36.9273238319 1
 
0.2%
36.9391397178 1
 
0.2%
36.9506021366 1
 
0.2%
36.9523591039 2
0.5%
36.9527460487 1
 
0.2%
36.9601279202 3
0.7%
36.9637302172 1
 
0.2%
36.9666145903 1
 
0.2%
36.9676588401 1
 
0.2%
36.9686047446 2
0.5%
ValueCountFrequency (%)
38.0368060618 1
0.2%
38.0310481621 1
0.2%
37.9294520218 1
0.2%
37.9170080895 1
0.2%
37.8652677862 1
0.2%
37.8648021659 2
0.5%
37.8645528434 1
0.2%
37.8633018809 2
0.5%
37.8626321401 2
0.5%
37.8545426607 1
0.2%

WGS84경도
Real number (ℝ)

MISSING 

Distinct302
Distinct (%)71.9%
Missing10
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean127.1605
Minimum126.55244
Maximum127.65174
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T06:26:28.016308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55244
5-th percentile126.77068
Q1127.05194
median127.1795
Q3127.33995
95-th percentile127.44354
Maximum127.65174
Range1.0992998
Interquartile range (IQR)0.28801054

Descriptive statistics

Standard deviation0.21752106
Coefficient of variation (CV)0.0017106024
Kurtosis-0.55925851
Mean127.1605
Median Absolute Deviation (MAD)0.15292051
Skewness-0.42124904
Sum53407.411
Variance0.04731541
MonotonicityNot monotonic
2023-12-11T06:26:28.132318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9357157649 6
 
1.4%
127.2078316823 6
 
1.4%
127.3437094095 6
 
1.4%
127.4272505884 5
 
1.2%
127.0674375076 5
 
1.2%
127.0985370542 4
 
0.9%
127.1596928621 4
 
0.9%
127.1794974943 4
 
0.9%
127.3163006933 3
 
0.7%
127.2175249285 3
 
0.7%
Other values (292) 374
87.0%
(Missing) 10
 
2.3%
ValueCountFrequency (%)
126.5524443628 1
 
0.2%
126.5877568553 1
 
0.2%
126.6943279574 2
0.5%
126.7023455373 3
0.7%
126.708840545 1
 
0.2%
126.7115936974 1
 
0.2%
126.714982277 1
 
0.2%
126.7161805896 1
 
0.2%
126.7168843479 1
 
0.2%
126.7472173351 1
 
0.2%
ValueCountFrequency (%)
127.6517441137 1
0.2%
127.6241058427 1
0.2%
127.5922014883 1
0.2%
127.5679513853 2
0.5%
127.5492784926 1
0.2%
127.5275862817 1
0.2%
127.5177828305 1
0.2%
127.4991312751 1
0.2%
127.4938150739 1
0.2%
127.492631404 2
0.5%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing430
Missing (%)100.0%
Memory size3.9 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct103
Distinct (%)79.8%
Missing301
Missing (%)70.0%
Infinite0
Infinite (%)0.0%
Mean215961.19
Minimum172995.92
Maximum246711.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T06:26:28.246340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum172995.92
5-th percentile181133.6
Q1205971.06
median218386.26
Q3230283.8
95-th percentile243073.98
Maximum246711.76
Range73715.84
Interquartile range (IQR)24312.735

Descriptive statistics

Standard deviation18331.976
Coefficient of variation (CV)0.084885508
Kurtosis-0.47403368
Mean215961.19
Median Absolute Deviation (MAD)12033.164
Skewness-0.46097924
Sum27858994
Variance3.3606133 × 108
MonotonicityNot monotonic
2023-12-11T06:26:28.362058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
218386.261739731 5
 
1.2%
215898.384277154 4
 
0.9%
214119.897168312 4
 
0.9%
237883.259381491 3
 
0.7%
219255.360601026 3
 
0.7%
208702.720179338 2
 
0.5%
209494.372908909 2
 
0.5%
205912.898384165 2
 
0.5%
243724.148238442 2
 
0.5%
179910.321490597 2
 
0.5%
Other values (93) 100
 
23.3%
(Missing) 301
70.0%
ValueCountFrequency (%)
172995.917853595 1
0.2%
173599.091691681 1
0.2%
177487.814220328 1
0.2%
179340.260535887 1
0.2%
179910.321490597 2
0.5%
180879.061233099 1
0.2%
181515.408945204 1
0.2%
182066.428722935 1
0.2%
182759.570434947 1
0.2%
185128.978146598 1
0.2%
ValueCountFrequency (%)
246711.757597769 1
0.2%
245934.254046475 1
0.2%
244194.323056592 1
0.2%
243789.000912988 1
0.2%
243724.148238442 2
0.5%
243197.17916872 1
0.2%
242889.169897066 1
0.2%
239406.562717504 2
0.5%
239281.470395557 1
0.2%
238729.063181632 1
0.2%

Y좌표값
Real number (ℝ)

MISSING 

Distinct103
Distinct (%)79.8%
Missing301
Missing (%)70.0%
Infinite0
Infinite (%)0.0%
Mean415362.73
Minimum380668.31
Maximum491877.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T06:26:28.473275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum380668.31
5-th percentile385940.43
Q1401231.87
median408316.53
Q3423680.69
95-th percentile477641.15
Maximum491877.61
Range111209.3
Interquartile range (IQR)22448.819

Descriptive statistics

Standard deviation23783.028
Coefficient of variation (CV)0.057258454
Kurtosis2.2660225
Mean415362.73
Median Absolute Deviation (MAD)9975.8665
Skewness1.4941908
Sum53581793
Variance5.6563241 × 108
MonotonicityNot monotonic
2023-12-11T06:26:28.589577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
398511.138734236 5
 
1.2%
408316.533576664 4
 
0.9%
404726.158193274 4
 
0.9%
403116.03339656 3
 
0.7%
398340.667073472 3
 
0.7%
416796.902557596 2
 
0.5%
386193.795130637 2
 
0.5%
404249.209315327 2
 
0.5%
409839.481313613 2
 
0.5%
447601.603825997 2
 
0.5%
Other values (93) 100
 
23.3%
(Missing) 301
70.0%
ValueCountFrequency (%)
380668.30940734 1
0.2%
383227.398143941 1
0.2%
383475.610233623 1
0.2%
383491.474001352 1
0.2%
384658.086055309 1
0.2%
385178.183171683 1
0.2%
385771.513413207 1
0.2%
386193.795130637 2
0.5%
386475.923586907 1
0.2%
391712.689981179 1
0.2%
ValueCountFrequency (%)
491877.610508607 1
0.2%
484695.684048655 1
0.2%
484673.643917003 1
0.2%
484543.349602035 1
0.2%
484448.977223421 1
0.2%
479683.824035172 1
0.2%
478166.060734831 1
0.2%
476853.783628484 1
0.2%
476142.562242661 1
0.2%
455205.328587106 1
0.2%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
축산물보관업
430 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산물보관업 430
100.0%

Length

2023-12-11T06:26:28.725792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:26:28.826848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물보관업 430
100.0%

축산고유번호
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
293 
0
137 

Length

Max length4
Median length4
Mean length3.044186
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 293
68.1%
0 137
31.9%

Length

2023-12-11T06:26:28.940507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:26:29.048212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 293
68.1%
0 137
31.9%

권리주체고유번호
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
293 
L00
132 
000
 
5

Length

Max length4
Median length4
Mean length3.6813953
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 293
68.1%
L00 132
30.7%
000 5
 
1.2%

Length

2023-12-11T06:26:29.165851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:26:29.257722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 293
68.1%
l00 132
30.7%
000 5
 
1.2%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값축산업무구분명축산고유번호권리주체고유번호
0고양시일산냉장19950718<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 장항로225번길 195 (장항동)경기도 고양시 일산동구 장항동 548-12번지1042837.642027126.76407<NA><NA><NA>축산물보관업<NA><NA>
1고양시육차원 B&F20171214<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산서구 덕산로57번길 27-25 (구산동)경기도 고양시 일산서구 구산동 277-3번지1020437.697082126.708841<NA><NA><NA>축산물보관업<NA><NA>
2고양시대명냉장20150625<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 장항로 313-8 (장항동)경기도 고양시 일산동구 장항동 546-31번지1042837.643572126.764666<NA><NA><NA>축산물보관업<NA><NA>
3고양시우리축산20121224<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산서구 덕산로65번길 19 (구산동)경기도 고양시 일산서구 구산동 249-5번지1020437.695244126.711594<NA><NA><NA>축산물보관업<NA><NA>
4고양시(주)선일냉동19940820<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 통일로 1028-26 (관산동)경기도 고양시 덕양구 관산동 685-57번지1026637.708136126.857749<NA><NA><NA>축산물보관업<NA><NA>
5고양시주식회사 사조에프에스(일산지점)20090924<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 견달산로 324 (문봉동)경기도 고양시 일산동구 문봉동 100-7번지1031437.695105126.820974<NA><NA><NA>축산물보관업<NA><NA>
6고양시(주)빙그레20120223<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 성현로377번길 78-29 (문봉동)경기도 고양시 일산동구 문봉동 44-15번지1025837.701498126.829378<NA><NA><NA>축산물보관업<NA><NA>
7고양시빙그레일산영업소20130705<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 강매로 259 (강매동)경기도 고양시 덕양구 강매동 90-1번지1044137.609635126.845454<NA><NA><NA>축산물보관업<NA><NA>
8고양시엑소후레쉬물류(주)20171101<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 견달산로 330 (문봉동)경기도 고양시 일산동구 문봉동 101-1번지1031437.695525126.821991<NA><NA><NA>축산물보관업<NA><NA>
9고양시(주)한국야쿠르트20101125<NA><NA>폐업 등20170215<NA><NA><NA>경기도 고양시 일산동구 장항로225번길 57 (장항동)경기도 고양시 일산동구 장항동 584번지1043137.640788126.77069<NA><NA><NA>축산물보관업<NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값축산업무구분명축산고유번호권리주체고유번호
420화성시에이스후레쉬(주)20161027<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 비봉면 주석로485번길 19경기도 화성시 비봉면 자안리 676-1번지1829337.199592126.875075<NA><NA><NA>축산물보관업<NA><NA>
421화성시(주)한국초저온2022-07-04<NA>0정상<NA>031-5183-93520.018628경기도 화성시 양감면 정문송산로184번길 17경기도 화성시 양감면 송산리 508-51862837.1074126.990687<NA>199131.982049400692.046008축산물보관업0L00
422화성시(주)고려택배2019-01-22<NA>0정상<NA>031-240-24000.018332경기도 화성시 봉담읍 왕림2길 42-25경기도 화성시 봉담읍 왕림리 475-11833237.19044126.933637<NA>194003.815227409861.259318축산물보관업0L00
423화성시주식회사 에이플랜로지스틱2023-04-14<NA>0정상<NA>031-8067-5010192.718512경기도 화성시 정남면 가장로 285, 4층경기도 화성시 정남면 고지리 115-1 (115-12), 4층1851237.164928127.012265<NA>201064.868607407039.865535축산물보관업0L00
424화성시에이치엘홀딩스 동탄 냉장2020-10-20<NA>0정상<NA>031-378-57280.018465경기도 화성시 동탄물류로 103 (신동)경기도 화성시 신동 7071846537.170639127.136561<NA>212050.517848407710.247258축산물보관업0L00
425화성시씨제이대한통운 주식회사 C블럭2023-07-14<NA>0정상<NA>031-725-90720.018465경기도 화성시 동탄물류로 103, C블럭 B107호 (신동)경기도 화성시 신동 7071846537.170639127.136561<NA>212050.517848407710.247258축산물보관업0L00
426화성시씨제이프레시웨이주식회사 동탄센터2022-06-24<NA>0정상<NA>02-2149-68940.018509경기도 화성시 경기동로 240(장지동)경기도 화성시 장지동 210-51850937.158039127.097925<NA><NA><NA>축산물보관업0L00
427화성시(주)비지에프로지스2019-03-04<NA>0정상<NA>031-352-45350.018524경기도 화성시 팔탄면 시청로721번길 25, 중부로지스(주)경기도 화성시 팔탄면 율암리 52-10 중부로지스(주)1852437.175396126.874598<NA>188799.780604408172.090609축산물보관업0L00
428화성시주식회사 한국초저온2023-11-06<NA>0정상<NA><NA>10251.2918512경기도 화성시 정남면 가장로 285, 3층경기도 화성시 정남면 고지리 115-11851237.164893127.012333<NA>201064.868607407039.865535축산물보관업0L00
429화성시아주코퍼레이션(주)기흥냉장20060327<NA><NA>폐업 등20120629<NA><NA><NA><NA>경기도 화성시 동탄면 청계리 65-20번지 1통<NA><NA><NA><NA><NA><NA>축산물보관업<NA><NA>