Overview

Dataset statistics

Number of variables21
Number of observations340
Missing cells2417
Missing cells (%)33.9%
Duplicate rows1
Duplicate rows (%)0.3%
Total size in memory59.6 KiB
Average record size in memory179.4 B

Variable types

Categorical6
Text4
DateTime2
Unsupported2
Numeric7

Dataset

Description동물용 의약품 도매상 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=QFSKC79GCO2975V6A5O6513467&infSeq=1

Alerts

축산업무구분명 has constant value ""Constant
Dataset has 1 (0.3%) duplicate rowsDuplicates
영업상태구분코드 is highly imbalanced (64.6%)Imbalance
권리주체일련번호 is highly imbalanced (54.7%)Imbalance
인허가취소일자 has 340 (100.0%) missing valuesMissing
폐업일자 has 183 (53.8%) missing valuesMissing
소재지시설전화번호 has 305 (89.7%) missing valuesMissing
소재지면적정보 has 296 (87.1%) missing valuesMissing
도로명우편번호 has 294 (86.5%) missing valuesMissing
소재지도로명주소 has 28 (8.2%) missing valuesMissing
소재지우편번호 has 10 (2.9%) missing valuesMissing
WGS84위도 has 17 (5.0%) missing valuesMissing
WGS84경도 has 17 (5.0%) missing valuesMissing
업태구분명정보 has 340 (100.0%) missing valuesMissing
X좌표값 has 293 (86.2%) missing valuesMissing
Y좌표값 has 293 (86.2%) 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 22 (6.5%) zerosZeros

Reproduction

Analysis started2023-12-10 21:17:58.292953
Analysis finished2023-12-10 21:17:58.784038
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct29
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
화성시
36 
용인시
31 
고양시
30 
안성시
28 
수원시
25 
Other values (24)
190 

Length

Max length4
Median length3
Mean length3.0352941
Min length3

Unique

Unique3 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
화성시 36
 
10.6%
용인시 31
 
9.1%
고양시 30
 
8.8%
안성시 28
 
8.2%
수원시 25
 
7.4%
성남시 16
 
4.7%
포천시 15
 
4.4%
평택시 15
 
4.4%
파주시 13
 
3.8%
안양시 12
 
3.5%
Other values (19) 119
35.0%

Length

2023-12-11T06:17:58.845318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화성시 36
 
10.6%
용인시 31
 
9.1%
고양시 30
 
8.8%
안성시 28
 
8.2%
수원시 25
 
7.4%
성남시 16
 
4.7%
포천시 15
 
4.4%
평택시 15
 
4.4%
파주시 13
 
3.8%
안양시 12
 
3.5%
Other values (19) 119
35.0%

사업장명
Text

Distinct283
Distinct (%)83.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-11T06:17:59.059323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length14
Mean length6.9294118
Min length3

Characters and Unicode

Total characters2356
Distinct characters245
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique236 ?
Unique (%)69.4%

Sample

1st row백광메디칼
2nd row토멘스
3rd row씨에이치디메딕스(주)
4th row엠앤에스코리아
5th row현대가축약품
ValueCountFrequency (%)
주식회사 17
 
4.6%
중앙가축약품 5
 
1.3%
우리동물약품 5
 
1.3%
동물약품 5
 
1.3%
종합동물약품 3
 
0.8%
주)자연바이오 3
 
0.8%
한도가축약품 3
 
0.8%
주)유한양행 3
 
0.8%
주)청려원 2
 
0.5%
유니드 2
 
0.5%
Other values (285) 325
87.1%
2023-12-11T06:17:59.408704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 159
 
6.7%
품 156
 
6.6%
주 151
 
6.4%
) 124
 
5.3%
( 123
 
5.2%
축 96
 
4.1%
가 94
 
4.0%
이 80
 
3.4%
동 63
 
2.7%
물 54
 
2.3%
Other values (235) 1256
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2034
86.3%
Close Punctuation 124
 
5.3%
Open Punctuation 123
 
5.2%
Space Separator 33
 
1.4%
Lowercase Letter 22
 
0.9%
Uppercase Letter 15
 
0.6%
Other Punctuation 4
 
0.2%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 159
 
7.8%
품 156
 
7.7%
주 151
 
7.4%
축 96
 
4.7%
가 94
 
4.6%
이 80
 
3.9%
동 63
 
3.1%
물 54
 
2.7%
사 48
 
2.4%
바 40
 
2.0%
Other values (209) 1093
53.7%
Lowercase Letter
ValueCountFrequency (%)
a 4
18.2%
c 3
13.6%
r 3
13.6%
e 3
13.6%
i 2
9.1%
n 2
9.1%
l 1
 
4.5%
m 1
 
4.5%
h 1
 
4.5%
p 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 5
33.3%
N 2
 
13.3%
P 2
 
13.3%
L 1
 
6.7%
C 1
 
6.7%
A 1
 
6.7%
S 1
 
6.7%
M 1
 
6.7%
F 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
& 1
 
25.0%
Close Punctuation
ValueCountFrequency (%)
) 124
100.0%
Open Punctuation
ValueCountFrequency (%)
( 123
100.0%
Space Separator
ValueCountFrequency (%)
33
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2035
86.4%
Common 284
 
12.1%
Latin 37
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 159
 
7.8%
품 156
 
7.7%
주 151
 
7.4%
축 96
 
4.7%
가 94
 
4.6%
이 80
 
3.9%
동 63
 
3.1%
물 54
 
2.7%
사 48
 
2.4%
바 40
 
2.0%
Other values (210) 1094
53.8%
Latin
ValueCountFrequency (%)
B 5
13.5%
a 4
 
10.8%
c 3
 
8.1%
r 3
 
8.1%
e 3
 
8.1%
N 2
 
5.4%
P 2
 
5.4%
i 2
 
5.4%
n 2
 
5.4%
L 1
 
2.7%
Other values (10) 10
27.0%
Common
ValueCountFrequency (%)
) 124
43.7%
( 123
43.3%
33
 
11.6%
. 3
 
1.1%
& 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2034
86.3%
ASCII 321
 
13.6%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 159
 
7.8%
품 156
 
7.7%
주 151
 
7.4%
축 96
 
4.7%
가 94
 
4.6%
이 80
 
3.9%
동 63
 
3.1%
물 54
 
2.7%
사 48
 
2.4%
바 40
 
2.0%
Other values (209) 1093
53.7%
ASCII
ValueCountFrequency (%)
) 124
38.6%
( 123
38.3%
33
 
10.3%
B 5
 
1.6%
a 4
 
1.2%
. 3
 
0.9%
c 3
 
0.9%
r 3
 
0.9%
e 3
 
0.9%
N 2
 
0.6%
Other values (15) 18
 
5.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%

인허가일자
Date

Distinct303
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum1977-06-14 00:00:00
Maximum2023-11-02 00:00:00
2023-12-11T06:17:59.546766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:59.689729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing340
Missing (%)100.0%
Memory size3.1 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
293 
0
37 
2
 
7
1
 
3

Length

Max length4
Median length4
Mean length3.5852941
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
86.2%
0 37
 
10.9%
2 7
 
2.1%
1 3
 
0.9%

Length

2023-12-11T06:17:59.823601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:18:00.139192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 293
86.2%
0 37
 
10.9%
2 7
 
2.1%
1 3
 
0.9%

영업상태명
Categorical

Distinct6
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
폐업 등
150 
운영중
137 
정상
37 
폐업
 
7
휴업 등
 
6

Length

Max length4
Median length3
Mean length3.3205882
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 등 150
44.1%
운영중 137
40.3%
정상 37
 
10.9%
폐업 7
 
2.1%
휴업 등 6
 
1.8%
휴업 3
 
0.9%

Length

2023-12-11T06:18:00.242472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:18:00.346942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 157
31.7%
등 156
31.5%
운영중 137
27.6%
정상 37
 
7.5%
휴업 9
 
1.8%

폐업일자
Date

MISSING 

Distinct151
Distinct (%)96.2%
Missing183
Missing (%)53.8%
Memory size2.8 KiB
Minimum1983-09-14 00:00:00
Maximum2023-09-25 00:00:00
2023-12-11T06:18:00.467801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:18:00.600192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct35
Distinct (%)100.0%
Missing305
Missing (%)89.7%
Memory size2.8 KiB
2023-12-11T06:18:00.785873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.257143
Min length8

Characters and Unicode

Total characters394
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)100.0%

Sample

1st row0319115307
2nd row031-938-0707
3rd row031-906-7325
4th row031-906-6500
5th row02-2664-4671
ValueCountFrequency (%)
0319115307 1
 
2.9%
031-379-5600 1
 
2.9%
031-884-8640 1
 
2.9%
031-883-8386 1
 
2.9%
031-263-3107 1
 
2.9%
283-5141 1
 
2.9%
031-461-7103 1
 
2.9%
02-553-0305 1
 
2.9%
031-352-0185 1
 
2.9%
031-853-1844 1
 
2.9%
Other values (25) 25
71.4%
2023-12-11T06:18:01.081527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 62
15.7%
3 61
15.5%
- 56
14.2%
1 53
13.5%
6 29
7.4%
8 28
7.1%
5 24
 
6.1%
7 24
 
6.1%
2 21
 
5.3%
4 19
 
4.8%
Other values (3) 17
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 336
85.3%
Dash Punctuation 56
 
14.2%
Close Punctuation 1
 
0.3%
Math Symbol 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 62
18.5%
3 61
18.2%
1 53
15.8%
6 29
8.6%
8 28
8.3%
5 24
 
7.1%
7 24
 
7.1%
2 21
 
6.2%
4 19
 
5.7%
9 15
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 394
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 62
15.7%
3 61
15.5%
- 56
14.2%
1 53
13.5%
6 29
7.4%
8 28
7.1%
5 24
 
6.1%
7 24
 
6.1%
2 21
 
5.3%
4 19
 
4.8%
Other values (3) 17
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 394
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 62
15.7%
3 61
15.5%
- 56
14.2%
1 53
13.5%
6 29
7.4%
8 28
7.1%
5 24
 
6.1%
7 24
 
6.1%
2 21
 
5.3%
4 19
 
4.8%
Other values (3) 17
 
4.3%

소재지면적정보
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)52.3%
Missing296
Missing (%)87.1%
Infinite0
Infinite (%)0.0%
Mean138.97886
Minimum0
Maximum999
Zeros22
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-11T06:18:01.185647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median19.8
Q3199.7375
95-th percentile598.6395
Maximum999
Range999
Interquartile range (IQR)199.7375

Descriptive statistics

Standard deviation231.60603
Coefficient of variation (CV)1.6664839
Kurtosis5.8101246
Mean138.97886
Median Absolute Deviation (MAD)19.8
Skewness2.3712315
Sum6115.07
Variance53641.355
MonotonicityNot monotonic
2023-12-11T06:18:01.277899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 22
 
6.5%
218.0 1
 
0.3%
325.26 1
 
0.3%
900.0 1
 
0.3%
94.19 1
 
0.3%
39.6 1
 
0.3%
162.0 1
 
0.3%
324.0 1
 
0.3%
196.65 1
 
0.3%
999.0 1
 
0.3%
Other values (13) 13
 
3.8%
(Missing) 296
87.1%
ValueCountFrequency (%)
0.0 22
6.5%
39.6 1
 
0.3%
42.0 1
 
0.3%
44.45 1
 
0.3%
70.31 1
 
0.3%
87.0 1
 
0.3%
94.19 1
 
0.3%
129.0 1
 
0.3%
162.0 1
 
0.3%
167.46 1
 
0.3%
ValueCountFrequency (%)
999.0 1
0.3%
900.0 1
0.3%
606.87 1
0.3%
552.0 1
0.3%
327.5 1
0.3%
325.26 1
0.3%
324.0 1
0.3%
228.66 1
0.3%
218.0 1
0.3%
215.56 1
0.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)97.8%
Missing294
Missing (%)86.5%
Infinite0
Infinite (%)0.0%
Mean14625.457
Minimum10317
Maximum18628
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-11T06:18:01.376409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10317
5-th percentile10430.75
Q112629.25
median14832.5
Q317014.5
95-th percentile18577.25
Maximum18628
Range8311
Interquartile range (IQR)4385.25

Descriptive statistics

Standard deviation2703.6536
Coefficient of variation (CV)0.18485943
Kurtosis-1.2618477
Mean14625.457
Median Absolute Deviation (MAD)2215.5
Skewness-0.075388906
Sum672771
Variance7309742.8
MonotonicityNot monotonic
2023-12-11T06:18:01.481915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
14753 2
 
0.6%
11164 1
 
0.3%
16860 1
 
0.3%
17066 1
 
0.3%
16103 1
 
0.3%
17311 1
 
0.3%
17370 1
 
0.3%
17329 1
 
0.3%
17707 1
 
0.3%
11181 1
 
0.3%
Other values (35) 35
 
10.3%
(Missing) 294
86.5%
ValueCountFrequency (%)
10317 1
0.3%
10355 1
0.3%
10428 1
0.3%
10439 1
0.3%
10508 1
0.3%
11139 1
0.3%
11164 1
0.3%
11181 1
0.3%
11521 1
0.3%
12106 1
0.3%
ValueCountFrequency (%)
18628 1
0.3%
18598 1
0.3%
18593 1
0.3%
18530 1
0.3%
18516 1
0.3%
18469 1
0.3%
17707 1
0.3%
17592 1
0.3%
17370 1
0.3%
17329 1
0.3%

소재지도로명주소
Text

MISSING 

Distinct276
Distinct (%)88.5%
Missing28
Missing (%)8.2%
Memory size2.8 KiB
2023-12-11T06:18:01.676303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length47
Mean length26.038462
Min length14

Characters and Unicode

Total characters8124
Distinct characters298
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique242 ?
Unique (%)77.6%

Sample

1st row경기도 고양시 일산동구 고봉로 20-5, 302호 (장항동, 포오스프라자II)
2nd row경기도 고양시 일산동구 장대길 128-30 (장항동)
3rd row경기도 고양시 일산동구 하늘마을로 158, C동 506호 (중산동, 대방트리플라온 비즈니스타워)
4th row경기도 고양시 덕양구 무원로6번길 12
5th row경기도 고양시 일산서구 고봉로 317
ValueCountFrequency (%)
경기도 312
 
17.3%
화성시 33
 
1.8%
용인시 31
 
1.7%
고양시 29
 
1.6%
안성시 26
 
1.4%
수원시 24
 
1.3%
일산동구 17
 
0.9%
처인구 16
 
0.9%
성남시 14
 
0.8%
포천시 13
 
0.7%
Other values (737) 1285
71.4%
2023-12-11T06:18:02.012080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1493
 
18.4%
기 333
 
4.1%
경 329
 
4.0%
시 326
 
4.0%
도 323
 
4.0%
1 311
 
3.8%
로 287
 
3.5%
동 207
 
2.5%
2 180
 
2.2%
) 152
 
1.9%
Other values (288) 4183
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4775
58.8%
Space Separator 1493
 
18.4%
Decimal Number 1320
 
16.2%
Close Punctuation 152
 
1.9%
Open Punctuation 152
 
1.9%
Other Punctuation 119
 
1.5%
Dash Punctuation 80
 
1.0%
Uppercase Letter 33
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 333
 
7.0%
경 329
 
6.9%
시 326
 
6.8%
도 323
 
6.8%
로 287
 
6.0%
동 207
 
4.3%
구 125
 
2.6%
길 109
 
2.3%
성 106
 
2.2%
양 98
 
2.1%
Other values (262) 2532
53.0%
Decimal Number
ValueCountFrequency (%)
1 311
23.6%
2 180
13.6%
3 132
10.0%
5 122
 
9.2%
0 122
 
9.2%
4 114
 
8.6%
8 96
 
7.3%
6 88
 
6.7%
7 83
 
6.3%
9 72
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
I 13
39.4%
B 5
 
15.2%
A 4
 
12.1%
D 3
 
9.1%
C 3
 
9.1%
T 2
 
6.1%
X 1
 
3.0%
G 1
 
3.0%
L 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 116
97.5%
. 2
 
1.7%
& 1
 
0.8%
Space Separator
ValueCountFrequency (%)
1493
100.0%
Close Punctuation
ValueCountFrequency (%)
) 152
100.0%
Open Punctuation
ValueCountFrequency (%)
( 152
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4775
58.8%
Common 3316
40.8%
Latin 33
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 333
 
7.0%
경 329
 
6.9%
시 326
 
6.8%
도 323
 
6.8%
로 287
 
6.0%
동 207
 
4.3%
구 125
 
2.6%
길 109
 
2.3%
성 106
 
2.2%
양 98
 
2.1%
Other values (262) 2532
53.0%
Common
ValueCountFrequency (%)
1493
45.0%
1 311
 
9.4%
2 180
 
5.4%
) 152
 
4.6%
( 152
 
4.6%
3 132
 
4.0%
5 122
 
3.7%
0 122
 
3.7%
, 116
 
3.5%
4 114
 
3.4%
Other values (7) 422
 
12.7%
Latin
ValueCountFrequency (%)
I 13
39.4%
B 5
 
15.2%
A 4
 
12.1%
D 3
 
9.1%
C 3
 
9.1%
T 2
 
6.1%
X 1
 
3.0%
G 1
 
3.0%
L 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4775
58.8%
ASCII 3349
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1493
44.6%
1 311
 
9.3%
2 180
 
5.4%
) 152
 
4.5%
( 152
 
4.5%
3 132
 
3.9%
5 122
 
3.6%
0 122
 
3.6%
, 116
 
3.5%
4 114
 
3.4%
Other values (16) 455
 
13.6%
Hangul
ValueCountFrequency (%)
기 333
 
7.0%
경 329
 
6.9%
시 326
 
6.8%
도 323
 
6.8%
로 287
 
6.0%
동 207
 
4.3%
구 125
 
2.6%
길 109
 
2.3%
성 106
 
2.2%
양 98
 
2.1%
Other values (262) 2532
53.0%

소재지지번주소
Text

Distinct323
Distinct (%)95.3%
Missing1
Missing (%)0.3%
Memory size2.8 KiB
2023-12-11T06:18:02.276088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length23.749263
Min length11

Characters and Unicode

Total characters8051
Distinct characters250
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique307 ?
Unique (%)90.6%

Sample

1st row경기도 고양시 일산동구 장항동 740번지 포오스프라자II 302호
2nd row경기도 고양시 일산동구 장항동 557-11번지
3rd row경기도 고양시 일산동구 중산동 1682번지 대방트리플라온비즈니스타워 C동 506호
4th row경기도 고양시 덕양구 행신동 706-2번지 대흥프라자동 404호
5th row경기도 고양시 일산서구 일산동 573번지 고봉빌딩 101호
ValueCountFrequency (%)
경기도 338
 
19.3%
화성시 36
 
2.1%
용인시 31
 
1.8%
고양시 30
 
1.7%
안성시 28
 
1.6%
수원시 25
 
1.4%
번지 22
 
1.3%
일산동구 17
 
1.0%
성남시 16
 
0.9%
처인구 16
 
0.9%
Other values (708) 1196
68.1%
2023-12-11T06:18:02.680598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1492
 
18.5%
기 356
 
4.4%
도 347
 
4.3%
시 345
 
4.3%
경 338
 
4.2%
1 306
 
3.8%
지 300
 
3.7%
번 281
 
3.5%
동 270
 
3.4%
- 252
 
3.1%
Other values (240) 3764
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4810
59.7%
Space Separator 1492
 
18.5%
Decimal Number 1471
 
18.3%
Dash Punctuation 252
 
3.1%
Uppercase Letter 19
 
0.2%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 356
 
7.4%
도 347
 
7.2%
시 345
 
7.2%
경 338
 
7.0%
지 300
 
6.2%
번 281
 
5.8%
동 270
 
5.6%
구 135
 
2.8%
리 133
 
2.8%
성 104
 
2.2%
Other values (217) 2201
45.8%
Decimal Number
ValueCountFrequency (%)
1 306
20.8%
2 182
12.4%
5 152
10.3%
4 148
10.1%
3 146
9.9%
0 142
9.7%
7 106
 
7.2%
6 102
 
6.9%
8 97
 
6.6%
9 90
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
I 5
26.3%
C 4
21.1%
A 3
15.8%
B 3
15.8%
D 1
 
5.3%
X 1
 
5.3%
G 1
 
5.3%
L 1
 
5.3%
Space Separator
ValueCountFrequency (%)
1492
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 252
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4810
59.7%
Common 3222
40.0%
Latin 19
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 356
 
7.4%
도 347
 
7.2%
시 345
 
7.2%
경 338
 
7.0%
지 300
 
6.2%
번 281
 
5.8%
동 270
 
5.6%
구 135
 
2.8%
리 133
 
2.8%
성 104
 
2.2%
Other values (217) 2201
45.8%
Common
ValueCountFrequency (%)
1492
46.3%
1 306
 
9.5%
- 252
 
7.8%
2 182
 
5.6%
5 152
 
4.7%
4 148
 
4.6%
3 146
 
4.5%
0 142
 
4.4%
7 106
 
3.3%
6 102
 
3.2%
Other values (5) 194
 
6.0%
Latin
ValueCountFrequency (%)
I 5
26.3%
C 4
21.1%
A 3
15.8%
B 3
15.8%
D 1
 
5.3%
X 1
 
5.3%
G 1
 
5.3%
L 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4810
59.7%
ASCII 3241
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1492
46.0%
1 306
 
9.4%
- 252
 
7.8%
2 182
 
5.6%
5 152
 
4.7%
4 148
 
4.6%
3 146
 
4.5%
0 142
 
4.4%
7 106
 
3.3%
6 102
 
3.1%
Other values (13) 213
 
6.6%
Hangul
ValueCountFrequency (%)
기 356
 
7.4%
도 347
 
7.2%
시 345
 
7.2%
경 338
 
7.0%
지 300
 
6.2%
번 281
 
5.8%
동 270
 
5.6%
구 135
 
2.8%
리 133
 
2.8%
성 104
 
2.2%
Other values (217) 2201
45.8%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct236
Distinct (%)71.5%
Missing10
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean14706.142
Minimum10016
Maximum18631
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-11T06:18:02.806964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10016
5-th percentile10364
Q111706.5
median15161.5
Q317365
95-th percentile18530
Maximum18631
Range8615
Interquartile range (IQR)5658.5

Descriptive statistics

Standard deviation2863.2337
Coefficient of variation (CV)0.19469645
Kurtosis-1.4764465
Mean14706.142
Median Absolute Deviation (MAD)2430.5
Skewness-0.21836674
Sum4853027
Variance8198107.5
MonotonicityNot monotonic
2023-12-11T06:18:02.937033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10803 6
 
1.8%
10364 5
 
1.5%
11139 4
 
1.2%
17180 4
 
1.2%
17519 4
 
1.2%
17066 3
 
0.9%
17592 3
 
0.9%
17585 3
 
0.9%
14109 3
 
0.9%
18598 3
 
0.9%
Other values (226) 292
85.9%
(Missing) 10
 
2.9%
ValueCountFrequency (%)
10016 1
0.3%
10018 1
0.3%
10019 1
0.3%
10106 1
0.3%
10116 1
0.3%
10246 1
0.3%
10250 1
0.3%
10252 2
0.6%
10287 1
0.3%
10317 1
0.3%
ValueCountFrequency (%)
18631 2
0.6%
18628 3
0.9%
18622 1
 
0.3%
18598 3
0.9%
18595 1
 
0.3%
18593 2
0.6%
18576 1
 
0.3%
18574 1
 
0.3%
18565 1
 
0.3%
18550 1
 
0.3%

WGS84위도
Real number (ℝ)

MISSING 

Distinct274
Distinct (%)84.8%
Missing17
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean37.398112
Minimum36.949466
Maximum38.101138
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-11T06:18:03.054825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.949466
5-th percentile37.012967
Q137.214378
median37.323221
Q337.621259
95-th percentile37.930086
Maximum38.101138
Range1.1516722
Interquartile range (IQR)0.40688075

Descriptive statistics

Standard deviation0.27134267
Coefficient of variation (CV)0.007255518
Kurtosis-0.46484999
Mean37.398112
Median Absolute Deviation (MAD)0.16511174
Skewness0.63015849
Sum12079.59
Variance0.073626847
MonotonicityNot monotonic
2023-12-11T06:18:03.168072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4825013035 3
 
0.9%
37.1310107781 3
 
0.9%
37.0618706666 3
 
0.9%
37.3107414111 3
 
0.9%
37.3778197011 3
 
0.9%
37.0059656204 3
 
0.9%
37.3431661111 3
 
0.9%
37.664260021 3
 
0.9%
37.4883330863 2
 
0.6%
37.2782540477 2
 
0.6%
Other values (264) 295
86.8%
(Missing) 17
 
5.0%
ValueCountFrequency (%)
36.9494662585 1
 
0.3%
36.9884090084 1
 
0.3%
36.9886278068 1
 
0.3%
36.9899883926 1
 
0.3%
36.998330987 1
 
0.3%
37.0007896885 1
 
0.3%
37.0009150375 1
 
0.3%
37.0015266999 1
 
0.3%
37.0041822179 1
 
0.3%
37.0059656204 3
0.9%
ValueCountFrequency (%)
38.1011384977 1
0.3%
38.0895875057 1
0.3%
38.0236526286 1
0.3%
38.0222205481 1
0.3%
38.0210188721 1
0.3%
38.0141415947 1
0.3%
38.0039926751 1
0.3%
38.001664304 1
0.3%
37.9599941604 2
0.6%
37.9562452966 2
0.6%

WGS84경도
Real number (ℝ)

MISSING 

Distinct274
Distinct (%)84.8%
Missing17
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean127.07051
Minimum126.59664
Maximum127.66178
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-11T06:18:03.277189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.59664
5-th percentile126.76426
Q1126.91458
median127.0497
Q3127.21045
95-th percentile127.48885
Maximum127.66178
Range1.0651488
Interquartile range (IQR)0.29587879

Descriptive statistics

Standard deviation0.22785206
Coefficient of variation (CV)0.0017931153
Kurtosis-0.28802536
Mean127.07051
Median Absolute Deviation (MAD)0.15343098
Skewness0.47861396
Sum41043.773
Variance0.051916562
MonotonicityNot monotonic
2023-12-11T06:18:03.387786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.787986915 3
 
0.9%
126.9133541691 3
 
0.9%
127.0586146393 3
 
0.9%
127.0812686258 3
 
0.9%
126.9604573641 3
 
0.9%
127.2693583681 3
 
0.9%
126.7135509961 3
 
0.9%
126.76513132 3
 
0.9%
127.4919008336 2
 
0.6%
127.4474680712 2
 
0.6%
Other values (264) 295
86.8%
(Missing) 17
 
5.0%
ValueCountFrequency (%)
126.5966352318 1
 
0.3%
126.6015958523 1
 
0.3%
126.7013889633 2
0.6%
126.7053122775 1
 
0.3%
126.7135509961 3
0.9%
126.7155402835 1
 
0.3%
126.7159040648 1
 
0.3%
126.7212599499 1
 
0.3%
126.7375455303 1
 
0.3%
126.7496881054 1
 
0.3%
ValueCountFrequency (%)
127.6617839903 1
0.3%
127.6330747561 1
0.3%
127.6315305393 1
0.3%
127.6286260325 1
0.3%
127.6283554866 1
0.3%
127.6255513434 1
0.3%
127.6225733002 1
0.3%
127.6128261601 1
0.3%
127.5848779257 2
0.6%
127.5719326553 1
0.3%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing340
Missing (%)100.0%
Memory size3.1 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)97.9%
Missing293
Missing (%)86.2%
Infinite0
Infinite (%)0.0%
Mean205512.08
Minimum173468.4
Maximum255644.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-11T06:18:03.498206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173468.4
5-th percentile179533.47
Q1190780.45
median201349.56
Q3217057.37
95-th percentile249039.06
Maximum255644.54
Range82176.147
Interquartile range (IQR)26276.918

Descriptive statistics

Standard deviation21504.604
Coefficient of variation (CV)0.10463912
Kurtosis-0.078843983
Mean205512.08
Median Absolute Deviation (MAD)14460.641
Skewness0.70390107
Sum9659067.9
Variance4.62448 × 108
MonotonicityNot monotonic
2023-12-11T06:18:03.622066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
181178.185692854 2
 
0.6%
219597.720556865 1
 
0.3%
254279.308014817 1
 
0.3%
207127.809553669 1
 
0.3%
210024.090934835 1
 
0.3%
196323.198227134 1
 
0.3%
242751.206041995 1
 
0.3%
239615.57489769 1
 
0.3%
240446.857942678 1
 
0.3%
205916.834633096 1
 
0.3%
Other values (36) 36
 
10.6%
(Missing) 293
86.2%
ValueCountFrequency (%)
173468.396380309 1
0.3%
174534.469212345 1
0.3%
179128.665774853 1
0.3%
180478.025578817 1
0.3%
180910.342857789 1
0.3%
181178.185692854 2
0.6%
181562.531848219 1
0.3%
183890.491976102 1
0.3%
184031.477541637 1
0.3%
184261.903834433 1
0.3%
ValueCountFrequency (%)
255644.543254906 1
0.3%
254279.308014817 1
0.3%
251733.848742301 1
0.3%
242751.206041995 1
0.3%
240446.857942678 1
0.3%
239615.57489769 1
0.3%
229189.790628483 1
0.3%
223904.161895254 1
0.3%
220905.919243255 1
0.3%
219597.720556865 1
0.3%

Y좌표값
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)97.9%
Missing293
Missing (%)86.2%
Infinite0
Infinite (%)0.0%
Mean434076.15
Minimum389403.77
Maximum491952.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-11T06:18:03.738523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum389403.77
5-th percentile402868.25
Q1419460.56
median426809.44
Q3449354.95
95-th percentile479606.47
Maximum491952.58
Range102548.8
Interquartile range (IQR)29894.39

Descriptive statistics

Standard deviation23977.823
Coefficient of variation (CV)0.055238748
Kurtosis-0.2277594
Mean434076.15
Median Absolute Deviation (MAD)14707.384
Skewness0.60747335
Sum20401579
Variance5.7493599 × 108
MonotonicityNot monotonic
2023-12-11T06:18:03.849399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
442274.655502355 2
 
0.6%
491952.575975987 1
 
0.3%
420698.208327602 1
 
0.3%
423202.488409925 1
 
0.3%
419031.699789892 1
 
0.3%
424646.595398791 1
 
0.3%
424092.044610798 1
 
0.3%
419680.631257801 1
 
0.3%
417717.802589797 1
 
0.3%
402704.77448709 1
 
0.3%
Other values (36) 36
 
10.6%
(Missing) 293
86.2%
ValueCountFrequency (%)
389403.772357429 1
0.3%
401119.277030195 1
0.3%
402704.77448709 1
0.3%
403249.697726012 1
0.3%
403663.56672147 1
0.3%
406193.313461898 1
0.3%
407673.267533452 1
0.3%
412102.059482355 1
0.3%
416442.284319181 1
0.3%
417717.802589797 1
0.3%
ValueCountFrequency (%)
491952.575975987 1
0.3%
481944.354544329 1
0.3%
479984.530674542 1
0.3%
478724.315146188 1
0.3%
471274.410318691 1
0.3%
464271.574654225 1
0.3%
464082.943701425 1
0.3%
461067.506789155 1
0.3%
459810.018965151 1
0.3%
457767.532703718 1
0.3%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
동물용의약품도매상
340 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물용의약품도매상 340
100.0%

Length

2023-12-11T06:18:03.958597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:18:04.040452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의약품도매상 340
100.0%

축산고유번호
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
293 
0
47 

Length

Max length4
Median length4
Mean length3.5852941
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
86.2%
0 47
 
13.8%

Length

2023-12-11T06:18:04.131359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:18:04.217024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 293
86.2%
0 47
 
13.8%

권리주체일련번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
293 
000
 
25
L00
 
22

Length

Max length4
Median length4
Mean length3.8617647
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
86.2%
000 25
 
7.4%
L00 22
 
6.5%

Length

2023-12-11T06:18:04.306404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:18:04.417289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 293
86.2%
000 25
 
7.4%
l00 22
 
6.5%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값축산업무구분명축산고유번호권리주체일련번호
0고양시백광메디칼20160517<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 고봉로 20-5, 302호 (장항동, 포오스프라자II)경기도 고양시 일산동구 장항동 740번지 포오스프라자II 302호1036437.66426126.765131<NA><NA><NA>동물용의약품도매상<NA><NA>
1고양시토멘스20160704<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 장대길 128-30 (장항동)경기도 고양시 일산동구 장항동 557-11번지1042837.64036126.764256<NA><NA><NA>동물용의약품도매상<NA><NA>
2고양시씨에이치디메딕스(주)20150213<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 하늘마을로 158, C동 506호 (중산동, 대방트리플라온 비즈니스타워)경기도 고양시 일산동구 중산동 1682번지 대방트리플라온비즈니스타워 C동 506호1035537.678932126.779434<NA><NA><NA>동물용의약품도매상<NA><NA>
3고양시엠앤에스코리아20051207<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 무원로6번길 12경기도 고양시 덕양구 행신동 706-2번지 대흥프라자동 404호1052337.613081126.833187<NA><NA><NA>동물용의약품도매상<NA><NA>
4고양시현대가축약품20020117<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산서구 고봉로 317경기도 고양시 일산서구 일산동 573번지 고봉빌딩 101호1033937.687507126.77706<NA><NA><NA>동물용의약품도매상<NA><NA>
5고양시미미동물의약품20171030<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 호수로 688, 코오롱레이크폴리스II A동 104호 (장항동)경기도 고양시 일산동구 장항동 749번지 코오롱레이크폴리스II1036437.662667126.763979<NA><NA><NA>동물용의약품도매상<NA><NA>
6고양시BMS pharm20161114<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 중앙로557번길 8-19, 201호 (행신동, 원스톱 라이프상가II)경기도 고양시 덕양구 행신동 998-2번지1051837.623255126.834297<NA><NA><NA>동물용의약품도매상<NA><NA>
7고양시(주)비케이팜20110923<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 고봉로 20-5, 501호 (장항동, 포오스프라자II)경기도 고양시 일산동구 장항동 740번지 501호1036437.66426126.765131<NA><NA><NA>동물용의약품도매상<NA><NA>
8고양시(주)화영약품20100930<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 토당로 52, B02호 (토당동, 능곡역프라자)경기도 고양시 덕양구 토당동 855번지1051037.6205126.820599<NA><NA><NA>동물용의약품도매상<NA><NA>
9고양시베토퀴놀코리아(주)20050808<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 백마로 195, 11001-A호 (장항동, 엠시티타워&엠시티오피스텔)경기도 고양시 일산동구 장항동 869번지1040337.654822126.770768<NA><NA><NA>동물용의약품도매상<NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값축산업무구분명축산고유번호권리주체일련번호
330화성시(주)알앤엘내츄럴라이프20050406<NA><NA>폐업 등20140512<NA><NA><NA>경기도 화성시 봉담읍 마당바위로 315경기도 화성시 봉담읍 덕우리 75번지1833637.1641126.929757<NA><NA><NA>동물용의약품도매상<NA><NA>
331화성시이안물산20070719<NA><NA>폐업 등20120208<NA><NA><NA>경기도 화성시 병점1로 216-21경기도 화성시 병점동 845-1 번지 이타운쓰리 504호1840537.214544127.044427<NA><NA><NA>동물용의약품도매상<NA><NA>
332화성시(주)대호20030614<NA><NA>폐업 등20051222<NA><NA><NA>경기도 화성시 양감면 정문송산로241번길 24경기도 화성시 양감면 송산리 535-1 번지1862837.112755126.986802<NA><NA><NA>동물용의약품도매상<NA><NA>
333화성시그린텍20011228<NA><NA>폐업 등20040430<NA><NA><NA>경기도 화성시 향남읍 발안만세길 49경기도 화성시 향남읍 발안리 187번지1859537.128281126.901071<NA><NA><NA>동물용의약품도매상<NA><NA>
334화성시종합동물약품20010828<NA><NA>폐업 등20120102<NA><NA><NA>경기도 화성시 정남면 세자로 5경기도 화성시 정남면 괘랑리 1061-2번지1851637.170465126.982909<NA><NA><NA>동물용의약품도매상<NA><NA>
335화성시우리가축약품19980819<NA><NA>폐업 등20070822<NA><NA><NA><NA>경기도 화성시 우정읍 조암리 243번지18565<NA><NA><NA><NA><NA>동물용의약품도매상<NA><NA>
336화성시고려동물약품상사19960829<NA><NA>폐업 등20070822<NA><NA><NA>경기도 화성시 송산면 사강로 194경기도 화성시 송산면 사강리 648번지1855037.213047126.737546<NA><NA><NA>동물용의약품도매상<NA><NA>
337화성시부흥가축약품20030318<NA><NA>폐업 등20040506<NA><NA><NA>경기도 화성시 남양읍 남양성지로 67경기도 화성시 남양동 509번지1826137.20698126.811083<NA><NA><NA>동물용의약품도매상<NA><NA>
338화성시(주)씨티시바이오20100722<NA><NA>폐업 등20151124<NA><NA><NA>경기도 화성시 팔탄면 현대기아로 38경기도 화성시 팔탄면 노하리1857637.157088126.849353<NA><NA><NA>동물용의약품도매상<NA><NA>
339화성시(주)지티바이오20101229<NA><NA>휴업 등<NA><NA><NA><NA>경기도 화성시 향남읍 행정서로2길 28-9경기도 화성시 향남읍 행정리 417-3번지 솔빌딩 2호1859837.131011126.913354<NA><NA><NA>동물용의약품도매상<NA><NA>

Duplicate rows

Most frequently occurring

시군명사업장명인허가일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도X좌표값Y좌표값축산업무구분명축산고유번호권리주체일련번호# duplicates
0의왕시(주)자연바이오20150508<NA>폐업 등20160519<NA><NA><NA>경기도 의왕시 이미로 40, D동 913호 (포일동, 인덕원 IT밸리)경기도 의왕시 포일동 653번지1600637.401797126.991018<NA><NA>동물용의약품도매상<NA><NA>2