Overview

Dataset statistics

Number of variables30
Number of observations139
Missing cells1297
Missing cells (%)31.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.2 KiB
Average record size in memory258.9 B

Variable types

Categorical10
Numeric4
DateTime4
Unsupported8
Text4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),축산업무구분명,축산물가공업구분명,축산일련번호,권리주체일련번호,총인원
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-16534/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 139 (100.0%) missing valuesMissing
폐업일자 has 107 (77.0%) missing valuesMissing
휴업시작일자 has 139 (100.0%) missing valuesMissing
휴업종료일자 has 139 (100.0%) missing valuesMissing
재개업일자 has 139 (100.0%) missing valuesMissing
전화번호 has 53 (38.1%) missing valuesMissing
소재지우편번호 has 139 (100.0%) missing valuesMissing
도로명주소 has 5 (3.6%) missing valuesMissing
도로명우편번호 has 6 (4.3%) missing valuesMissing
업태구분명 has 139 (100.0%) missing valuesMissing
좌표정보(X) has 7 (5.0%) missing valuesMissing
좌표정보(Y) has 7 (5.0%) missing valuesMissing
축산물가공업구분명 has 139 (100.0%) missing valuesMissing
축산일련번호 has 139 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
축산물가공업구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
축산일련번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 12:16:26.621662
Analysis finished2024-04-06 12:16:27.557479
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3180000
139 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 139
100.0%

Length

2024-04-06T21:16:27.682656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:16:27.885995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 139
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.18 × 1017
Minimum3.18 × 1017
Maximum3.18 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-06T21:16:28.149506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.18 × 1017
5-th percentile3.18 × 1017
Q13.18 × 1017
median3.18 × 1017
Q33.18 × 1017
95-th percentile3.18 × 1017
Maximum3.18 × 1017
Range200002
Interquartile range (IQR)60032

Descriptive statistics

Standard deviation46793.46
Coefficient of variation (CV)1.4714924 × 10-13
Kurtosis1.7831583
Mean3.18 × 1017
Median Absolute Deviation (MAD)30016
Skewness-1.3360446
Sum7.308512 × 1018
Variance2.1896279 × 109
MonotonicityStrictly increasing
2024-04-06T21:16:28.500417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
318000001120040001 1
 
0.7%
318000001120210009 1
 
0.7%
318000001120210003 1
 
0.7%
318000001120210004 1
 
0.7%
318000001120210005 1
 
0.7%
318000001120210006 1
 
0.7%
318000001120210007 1
 
0.7%
318000001120210008 1
 
0.7%
318000001120210010 1
 
0.7%
318000001120210001 1
 
0.7%
Other values (129) 129
92.8%
ValueCountFrequency (%)
318000001120040001 1
0.7%
318000001120040002 1
0.7%
318000001120040003 1
0.7%
318000001120040004 1
0.7%
318000001120040005 1
0.7%
318000001120040006 1
0.7%
318000001120050001 1
0.7%
318000001120120001 1
0.7%
318000001120130001 1
0.7%
318000001120130002 1
0.7%
ValueCountFrequency (%)
318000001120240003 1
0.7%
318000001120240002 1
0.7%
318000001120240001 1
0.7%
318000001120230020 1
0.7%
318000001120230019 1
0.7%
318000001120230018 1
0.7%
318000001120230017 1
0.7%
318000001120230016 1
0.7%
318000001120230015 1
0.7%
318000001120230014 1
0.7%

인허가일자
Date

Distinct129
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2004-02-26 00:00:00
Maximum2024-04-04 00:00:00
2024-04-06T21:16:28.766921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:16:29.077461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
106 
3
33 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row1
4th row1
5th row3

Common Values

ValueCountFrequency (%)
1 106
76.3%
3 33
 
23.7%

Length

2024-04-06T21:16:29.321149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:16:29.499222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 106
76.3%
3 33
 
23.7%

영업상태명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업/정상
106 
폐업
33 

Length

Max length5
Median length5
Mean length4.2877698
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row영업/정상
4th row영업/정상
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 106
76.3%
폐업 33
 
23.7%

Length

2024-04-06T21:16:29.767651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:16:29.952675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 106
76.3%
폐업 33
 
23.7%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
106 
2
33 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row0
4th row0
5th row2

Common Values

ValueCountFrequency (%)
0 106
76.3%
2 33
 
23.7%

Length

2024-04-06T21:16:30.130303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:16:30.379741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 106
76.3%
2 33
 
23.7%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
정상
106 
폐업
33 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row정상
4th row정상
5th row폐업

Common Values

ValueCountFrequency (%)
정상 106
76.3%
폐업 33
 
23.7%

Length

2024-04-06T21:16:30.556617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:16:30.746542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 106
76.3%
폐업 33
 
23.7%

폐업일자
Date

MISSING 

Distinct31
Distinct (%)96.9%
Missing107
Missing (%)77.0%
Memory size1.2 KiB
Minimum2005-06-30 00:00:00
Maximum2023-12-27 00:00:00
2024-04-06T21:16:30.939548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:16:31.171824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

전화번호
Text

MISSING 

Distinct82
Distinct (%)95.3%
Missing53
Missing (%)38.1%
Memory size1.2 KiB
2024-04-06T21:16:31.565217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length11.139535
Min length8

Characters and Unicode

Total characters958
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)91.9%

Sample

1st row2634-9321
2nd row834-7676
3rd row2675-5250
4th row836-0754
5th row847-8359
ValueCountFrequency (%)
02-843-2008 3
 
3.5%
02-832-0514 2
 
2.3%
2634-9321 2
 
2.3%
02-831-6008 1
 
1.2%
02-2672-9672 1
 
1.2%
02-2677-0360 1
 
1.2%
02-783-5816 1
 
1.2%
02-845-9369 1
 
1.2%
02-3775-1333 1
 
1.2%
02-427-1254 1
 
1.2%
Other values (72) 72
83.7%
2024-04-06T21:16:32.297338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 159
16.6%
2 157
16.4%
0 128
13.4%
3 90
9.4%
6 88
9.2%
8 82
8.6%
7 76
7.9%
4 57
 
5.9%
5 49
 
5.1%
1 41
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 799
83.4%
Dash Punctuation 159
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 157
19.6%
0 128
16.0%
3 90
11.3%
6 88
11.0%
8 82
10.3%
7 76
9.5%
4 57
 
7.1%
5 49
 
6.1%
1 41
 
5.1%
9 31
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 159
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 958
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 159
16.6%
2 157
16.4%
0 128
13.4%
3 90
9.4%
6 88
9.2%
8 82
8.6%
7 76
7.9%
4 57
 
5.9%
5 49
 
5.1%
1 41
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 958
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 159
16.6%
2 157
16.4%
0 128
13.4%
3 90
9.4%
6 88
9.2%
8 82
8.6%
7 76
7.9%
4 57
 
5.9%
5 49
 
5.1%
1 41
 
4.3%

소재지면적
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
109 
0.0
29 
172.9
 
1

Length

Max length5
Median length4
Mean length3.7985612
Min length3

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
<NA> 109
78.4%
0.0 29
 
20.9%
172.9 1
 
0.7%

Length

2024-04-06T21:16:32.557297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:16:32.753721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 109
78.4%
0.0 29
 
20.9%
172.9 1
 
0.7%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

지번주소
Text

Distinct131
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-06T21:16:33.242837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length26.892086
Min length19

Characters and Unicode

Total characters3738
Distinct characters158
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique123 ?
Unique (%)88.5%

Sample

1st row서울특별시 영등포구 영등포동5가 37-2 번지
2nd row서울특별시 영등포구 대림동 608-1 번지 현대아파트상가107호
3rd row서울특별시 영등포구 당산동5가 42번지 삼성래미안상가 102-2,3호
4th row서울특별시 영등포구 대림동 962-4번지
5th row서울특별시 영등포구 대림동 1092-55 번지
ValueCountFrequency (%)
서울특별시 139
20.3%
영등포구 139
20.3%
신길동 29
 
4.2%
여의도동 22
 
3.2%
대림동 16
 
2.3%
당산동6가 10
 
1.5%
영등포동5가 9
 
1.3%
문래동3가 7
 
1.0%
양평동5가 5
 
0.7%
번지 5
 
0.7%
Other values (235) 304
44.4%
2024-04-06T21:16:34.043425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
631
 
16.9%
영 171
 
4.6%
포 171
 
4.6%
등 169
 
4.5%
동 147
 
3.9%
시 143
 
3.8%
서 141
 
3.8%
울 141
 
3.8%
별 139
 
3.7%
특 139
 
3.7%
Other values (148) 1746
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2356
63.0%
Space Separator 631
 
16.9%
Decimal Number 628
 
16.8%
Dash Punctuation 103
 
2.8%
Uppercase Letter 13
 
0.3%
Other Punctuation 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 171
 
7.3%
포 171
 
7.3%
등 169
 
7.2%
동 147
 
6.2%
시 143
 
6.1%
서 141
 
6.0%
울 141
 
6.0%
별 139
 
5.9%
특 139
 
5.9%
구 139
 
5.9%
Other values (127) 856
36.3%
Decimal Number
ValueCountFrequency (%)
1 118
18.8%
2 81
12.9%
3 75
11.9%
4 75
11.9%
5 74
11.8%
6 61
9.7%
7 42
 
6.7%
0 40
 
6.4%
9 32
 
5.1%
8 30
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 4
30.8%
C 3
23.1%
E 2
15.4%
M 2
15.4%
U 1
 
7.7%
A 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 3
42.9%
? 2
28.6%
, 2
28.6%
Space Separator
ValueCountFrequency (%)
631
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 103
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2356
63.0%
Common 1369
36.6%
Latin 13
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 171
 
7.3%
포 171
 
7.3%
등 169
 
7.2%
동 147
 
6.2%
시 143
 
6.1%
서 141
 
6.0%
울 141
 
6.0%
별 139
 
5.9%
특 139
 
5.9%
구 139
 
5.9%
Other values (127) 856
36.3%
Common
ValueCountFrequency (%)
631
46.1%
1 118
 
8.6%
- 103
 
7.5%
2 81
 
5.9%
3 75
 
5.5%
4 75
 
5.5%
5 74
 
5.4%
6 61
 
4.5%
7 42
 
3.1%
0 40
 
2.9%
Other values (5) 69
 
5.0%
Latin
ValueCountFrequency (%)
B 4
30.8%
C 3
23.1%
E 2
15.4%
M 2
15.4%
U 1
 
7.7%
A 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2356
63.0%
ASCII 1382
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
631
45.7%
1 118
 
8.5%
- 103
 
7.5%
2 81
 
5.9%
3 75
 
5.4%
4 75
 
5.4%
5 74
 
5.4%
6 61
 
4.4%
7 42
 
3.0%
0 40
 
2.9%
Other values (11) 82
 
5.9%
Hangul
ValueCountFrequency (%)
영 171
 
7.3%
포 171
 
7.3%
등 169
 
7.2%
동 147
 
6.2%
시 143
 
6.1%
서 141
 
6.0%
울 141
 
6.0%
별 139
 
5.9%
특 139
 
5.9%
구 139
 
5.9%
Other values (127) 856
36.3%

도로명주소
Text

MISSING 

Distinct128
Distinct (%)95.5%
Missing5
Missing (%)3.6%
Memory size1.2 KiB
2024-04-06T21:16:34.587526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length43
Mean length35.029851
Min length23

Characters and Unicode

Total characters4694
Distinct characters176
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

Unique122 ?
Unique (%)91.0%

Sample

1st row서울특별시 영등포구 당산로 214, 102-2,3호 (당산동5가,삼성래미안상가)
2nd row서울특별시 영등포구 시흥대로 663 (대림동)
3rd row서울특별시 영등포구 선유서로 117 (양평동3가, 월드프라자빌딩 102호)
4th row서울특별시 영등포구 의사당대로 97 (여의도동)
5th row서울특별시 영등포구 당산로31길 14 (당산동3가)
ValueCountFrequency (%)
서울특별시 134
 
14.9%
영등포구 134
 
14.9%
1층 48
 
5.4%
신길동 29
 
3.2%
여의도동 22
 
2.5%
대림동 14
 
1.6%
양평로 13
 
1.4%
영중로 12
 
1.3%
당산동6가 9
 
1.0%
2층 9
 
1.0%
Other values (267) 473
52.7%
2024-04-06T21:16:35.412138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
763
 
16.3%
영 187
 
4.0%
1 186
 
4.0%
포 169
 
3.6%
등 167
 
3.6%
동 148
 
3.2%
시 143
 
3.0%
로 140
 
3.0%
서 138
 
2.9%
구 135
 
2.9%
Other values (166) 2518
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2815
60.0%
Space Separator 763
 
16.3%
Decimal Number 676
 
14.4%
Other Punctuation 135
 
2.9%
Open Punctuation 134
 
2.9%
Close Punctuation 134
 
2.9%
Uppercase Letter 22
 
0.5%
Dash Punctuation 15
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 187
 
6.6%
포 169
 
6.0%
등 167
 
5.9%
동 148
 
5.3%
시 143
 
5.1%
로 140
 
5.0%
서 138
 
4.9%
구 135
 
4.8%
울 135
 
4.8%
별 134
 
4.8%
Other values (140) 1319
46.9%
Decimal Number
ValueCountFrequency (%)
1 186
27.5%
2 84
12.4%
0 75
11.1%
3 65
 
9.6%
6 58
 
8.6%
5 55
 
8.1%
4 50
 
7.4%
8 35
 
5.2%
7 34
 
5.0%
9 34
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 8
36.4%
E 4
18.2%
C 2
 
9.1%
M 2
 
9.1%
U 2
 
9.1%
N 1
 
4.5%
K 1
 
4.5%
S 1
 
4.5%
D 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 130
96.3%
. 3
 
2.2%
? 2
 
1.5%
Space Separator
ValueCountFrequency (%)
763
100.0%
Open Punctuation
ValueCountFrequency (%)
( 134
100.0%
Close Punctuation
ValueCountFrequency (%)
) 134
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2815
60.0%
Common 1857
39.6%
Latin 22
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 187
 
6.6%
포 169
 
6.0%
등 167
 
5.9%
동 148
 
5.3%
시 143
 
5.1%
로 140
 
5.0%
서 138
 
4.9%
구 135
 
4.8%
울 135
 
4.8%
별 134
 
4.8%
Other values (140) 1319
46.9%
Common
ValueCountFrequency (%)
763
41.1%
1 186
 
10.0%
( 134
 
7.2%
) 134
 
7.2%
, 130
 
7.0%
2 84
 
4.5%
0 75
 
4.0%
3 65
 
3.5%
6 58
 
3.1%
5 55
 
3.0%
Other values (7) 173
 
9.3%
Latin
ValueCountFrequency (%)
B 8
36.4%
E 4
18.2%
C 2
 
9.1%
M 2
 
9.1%
U 2
 
9.1%
N 1
 
4.5%
K 1
 
4.5%
S 1
 
4.5%
D 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2815
60.0%
ASCII 1879
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
763
40.6%
1 186
 
9.9%
( 134
 
7.1%
) 134
 
7.1%
, 130
 
6.9%
2 84
 
4.5%
0 75
 
4.0%
3 65
 
3.5%
6 58
 
3.1%
5 55
 
2.9%
Other values (16) 195
 
10.4%
Hangul
ValueCountFrequency (%)
영 187
 
6.6%
포 169
 
6.0%
등 167
 
5.9%
동 148
 
5.3%
시 143
 
5.1%
로 140
 
5.0%
서 138
 
4.9%
구 135
 
4.8%
울 135
 
4.8%
별 134
 
4.8%
Other values (140) 1319
46.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct68
Distinct (%)51.1%
Missing6
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean7315.8647
Minimum7204
Maximum7444
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-06T21:16:35.936627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7204
5-th percentile7208
Q17250
median7312
Q37387
95-th percentile7436
Maximum7444
Range240
Interquartile range (IQR)137

Descriptive statistics

Standard deviation75.95471
Coefficient of variation (CV)0.010382192
Kurtosis-1.2065737
Mean7315.8647
Median Absolute Deviation (MAD)62
Skewness0.22295079
Sum973010
Variance5769.1179
MonotonicityNot monotonic
2024-04-06T21:16:36.261099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7333 7
 
5.0%
7250 7
 
5.0%
7434 5
 
3.6%
7223 4
 
2.9%
7281 4
 
2.9%
7387 4
 
2.9%
7442 4
 
2.9%
7423 4
 
2.9%
7370 3
 
2.2%
7228 3
 
2.2%
Other values (58) 88
63.3%
(Missing) 6
 
4.3%
ValueCountFrequency (%)
7204 3
2.2%
7207 2
1.4%
7208 3
2.2%
7213 2
1.4%
7214 2
1.4%
7220 2
1.4%
7222 3
2.2%
7223 4
2.9%
7228 3
2.2%
7235 1
 
0.7%
ValueCountFrequency (%)
7444 1
 
0.7%
7442 4
2.9%
7437 1
 
0.7%
7436 3
2.2%
7434 5
3.6%
7430 2
 
1.4%
7429 1
 
0.7%
7423 4
2.9%
7420 1
 
0.7%
7417 1
 
0.7%

사업장명
Text

Distinct121
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-06T21:16:36.827990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length5.5683453
Min length3

Characters and Unicode

Total characters774
Distinct characters166
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

Unique106 ?
Unique (%)76.3%

Sample

1st row영등포시장약국
2nd row건강한약국
3rd row래미안온누리약국
4th row세계약국
5th row원앙약국
ValueCountFrequency (%)
영등포시장약국 3
 
2.1%
맑은수약국 3
 
2.1%
태령약국 3
 
2.1%
쉐르빌약국 2
 
1.4%
이화온누리약국 2
 
1.4%
클래시안약국 2
 
1.4%
365열린약국 2
 
1.4%
헤르바당산역약국 2
 
1.4%
우리조운약국 2
 
1.4%
당산열린약국 2
 
1.4%
Other values (114) 119
83.8%
2024-04-06T21:16:37.585812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 140
 
18.1%
국 139
 
18.0%
리 26
 
3.4%
온 25
 
3.2%
누 24
 
3.1%
수 9
 
1.2%
성 8
 
1.0%
산 8
 
1.0%
당 8
 
1.0%
도 8
 
1.0%
Other values (156) 379
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 753
97.3%
Decimal Number 18
 
2.3%
Space Separator 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 140
 
18.6%
국 139
 
18.5%
리 26
 
3.5%
온 25
 
3.3%
누 24
 
3.2%
수 9
 
1.2%
성 8
 
1.1%
산 8
 
1.1%
당 8
 
1.1%
도 8
 
1.1%
Other values (148) 358
47.5%
Decimal Number
ValueCountFrequency (%)
6 4
22.2%
3 4
22.2%
5 4
22.2%
0 2
11.1%
1 2
11.1%
4 1
 
5.6%
2 1
 
5.6%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 753
97.3%
Common 21
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 140
 
18.6%
국 139
 
18.5%
리 26
 
3.5%
온 25
 
3.3%
누 24
 
3.2%
수 9
 
1.2%
성 8
 
1.1%
산 8
 
1.1%
당 8
 
1.1%
도 8
 
1.1%
Other values (148) 358
47.5%
Common
ValueCountFrequency (%)
6 4
19.0%
3 4
19.0%
5 4
19.0%
3
14.3%
0 2
9.5%
1 2
9.5%
4 1
 
4.8%
2 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 753
97.3%
ASCII 21
 
2.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 140
 
18.6%
국 139
 
18.5%
리 26
 
3.5%
온 25
 
3.3%
누 24
 
3.2%
수 9
 
1.2%
성 8
 
1.1%
산 8
 
1.1%
당 8
 
1.1%
도 8
 
1.1%
Other values (148) 358
47.5%
ASCII
ValueCountFrequency (%)
6 4
19.0%
3 4
19.0%
5 4
19.0%
3
14.3%
0 2
9.5%
1 2
9.5%
4 1
 
4.8%
2 1
 
4.8%

최종수정일자
Date

UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2005-06-30 16:48:41
Maximum2024-04-04 09:38:48
2024-04-06T21:16:37.940789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:16:38.181632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
104 
U
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowI
3rd rowI
4th rowU
5th rowI

Common Values

ValueCountFrequency (%)
I 104
74.8%
U 35
 
25.2%

Length

2024-04-06T21:16:38.441760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:16:38.663613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 104
74.8%
u 35
 
25.2%

데이터갱신일자
Date

Distinct97
Distinct (%)69.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-06T21:16:38.890024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:16:39.175689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct108
Distinct (%)81.8%
Missing7
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean191746.47
Minimum189862.67
Maximum194124.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-06T21:16:39.536996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189862.67
5-th percentile190126.39
Q1191083.97
median191584.2
Q3192296.46
95-th percentile193752.06
Maximum194124.5
Range4261.8265
Interquartile range (IQR)1212.4972

Descriptive statistics

Standard deviation1037.1557
Coefficient of variation (CV)0.005408995
Kurtosis-0.39124947
Mean191746.47
Median Absolute Deviation (MAD)586.82137
Skewness0.42786769
Sum25310534
Variance1075691.9
MonotonicityNot monotonic
2024-04-06T21:16:40.317761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192050.08947096 3
 
2.2%
189862.670939789 3
 
2.2%
190394.571819262 3
 
2.2%
191410.398461497 3
 
2.2%
192275.299730624 3
 
2.2%
190121.308341551 2
 
1.4%
193326.931018911 2
 
1.4%
191349.222267929 2
 
1.4%
191285.776956872 2
 
1.4%
191536.037141169 2
 
1.4%
Other values (98) 107
77.0%
(Missing) 7
 
5.0%
ValueCountFrequency (%)
189862.670939789 3
2.2%
189959.044020878 1
 
0.7%
190114.183690988 1
 
0.7%
190121.308341551 2
1.4%
190130.539437578 1
 
0.7%
190176.6271997 1
 
0.7%
190217.705071932 1
 
0.7%
190352.321686588 1
 
0.7%
190394.571819262 3
2.2%
190495.49830154 2
1.4%
ValueCountFrequency (%)
194124.497455922 1
0.7%
194015.180457719 1
0.7%
193870.812916718 1
0.7%
193851.799940745 1
0.7%
193798.948251805 2
1.4%
193759.905718841 1
0.7%
193745.64337296 1
0.7%
193732.392169737 1
0.7%
193674.743726431 1
0.7%
193448.691739112 1
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct108
Distinct (%)81.8%
Missing7
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean446044.77
Minimum442980.02
Maximum448656.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-06T21:16:40.567948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442980.02
5-th percentile443438.78
Q1444909.73
median446385.28
Q3447108.69
95-th percentile448247.1
Maximum448656.73
Range5676.7071
Interquartile range (IQR)2198.9663

Descriptive statistics

Standard deviation1508.5519
Coefficient of variation (CV)0.0033820637
Kurtosis-0.81600551
Mean446044.77
Median Absolute Deviation (MAD)890.27892
Skewness-0.38125293
Sum58877910
Variance2275728.7
MonotonicityNot monotonic
2024-04-06T21:16:40.839481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444909.726093006 3
 
2.2%
447108.692357096 3
 
2.2%
448656.726986041 3
 
2.2%
443868.81651636 3
 
2.2%
443891.073398846 3
 
2.2%
446385.28413493 2
 
1.4%
446973.914570276 2
 
1.4%
447939.351087719 2
 
1.4%
447979.869952928 2
 
1.4%
447172.053366478 2
 
1.4%
Other values (98) 107
77.0%
(Missing) 7
 
5.0%
ValueCountFrequency (%)
442980.019855565 1
0.7%
443188.391333334 1
0.7%
443205.592358055 1
0.7%
443206.123375645 2
1.4%
443357.958471028 1
0.7%
443387.701602573 1
0.7%
443480.577591489 1
0.7%
443548.818562693 1
0.7%
443571.156401847 1
0.7%
443603.26278376 1
0.7%
ValueCountFrequency (%)
448656.726986041 3
2.2%
448412.128229793 2
1.4%
448349.474297443 1
 
0.7%
448249.539985718 1
 
0.7%
448245.103226554 1
 
0.7%
448126.220291917 1
 
0.7%
448115.64140501 1
 
0.7%
448034.65486381 1
 
0.7%
447979.869952928 2
1.4%
447939.351087719 2
1.4%

축산업무구분명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
동물약국
88 
<NA>
51 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물약국 88
63.3%
<NA> 51
36.7%

Length

2024-04-06T21:16:41.089659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:16:41.266013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물약국 88
63.3%
na 51
36.7%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

권리주체일련번호
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
88 
<NA>
51 

Length

Max length4
Median length1
Mean length2.1007194
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 88
63.3%
<NA> 51
36.7%

Length

2024-04-06T21:16:41.464360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:16:41.717275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 88
63.3%
na 51
36.7%

총인원
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
87 
<NA>
52 

Length

Max length4
Median length1
Mean length2.1223022
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 87
62.6%
<NA> 52
37.4%

Length

2024-04-06T21:16:41.894982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:16:42.079536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 87
62.6%
na 52
37.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0318000031800000112004000120040226<NA>3폐업2폐업20051207<NA><NA><NA>2634-93210.0<NA>서울특별시 영등포구 영등포동5가 37-2 번지<NA><NA>영등포시장약국2005-12-07 09:51:25I2018-08-31 23:59:59.0<NA><NA><NA>동물약국<NA><NA>00
1318000031800000112004000220040323<NA>3폐업2폐업20081231<NA><NA><NA>834-76760.0<NA>서울특별시 영등포구 대림동 608-1 번지 현대아파트상가107호<NA><NA>건강한약국2008-12-31 14:12:59I2018-08-31 23:59:59.0<NA><NA><NA>동물약국<NA><NA>00
2318000031800000112004000320040323<NA>1영업/정상0정상<NA><NA><NA><NA>2675-52500.0<NA>서울특별시 영등포구 당산동5가 42번지 삼성래미안상가 102-2,3호서울특별시 영등포구 당산로 214, 102-2,3호 (당산동5가,삼성래미안상가)<NA>래미안온누리약국2006-03-06 17:59:16I2018-08-31 23:59:59.0<NA>191362.376781447750.192654동물약국<NA><NA>00
3318000031800000112004000420040519<NA>1영업/정상0정상<NA><NA><NA><NA>836-07540.0<NA>서울특별시 영등포구 대림동 962-4번지서울특별시 영등포구 시흥대로 663 (대림동)7442세계약국2019-08-22 11:00:27U2019-08-24 02:40:00.0<NA>191757.371972443206.123376동물약국<NA><NA>00
4318000031800000112004000520040519<NA>3폐업2폐업20050630<NA><NA><NA>847-83590.0<NA>서울특별시 영등포구 대림동 1092-55 번지<NA><NA>원앙약국2005-06-30 16:48:41I2018-08-31 23:59:59.0<NA><NA><NA>동물약국<NA><NA>00
5318000031800000112004000620041201<NA>3폐업2폐업20110809<NA><NA><NA>2636-22150.0<NA>서울특별시 영등포구 당산동6가 338-1 번지<NA><NA>당산종로약국2011-08-09 18:23:47I2018-08-31 23:59:59.0<NA><NA><NA>동물약국<NA><NA>00
6318000031800000112005000120051208<NA>3폐업2폐업<NA><NA><NA><NA>2634-9321172.9<NA>서울특별시 영등포구 영등포동5가 37-2 번지<NA><NA>영등포시장약국2017-06-29 13:36:35I2018-08-31 23:59:59.0<NA><NA><NA>동물약국<NA><NA>00
7318000031800000112012000120120927<NA>3폐업2폐업20170405<NA><NA><NA>070-4156-0367<NA><NA>서울특별시 영등포구 양평동3가 23-4번지 월드프라자빌딩 102호서울특별시 영등포구 선유서로 117 (양평동3가, 월드프라자빌딩 102호)7269세민약국2017-04-05 14:50:51I2018-08-31 23:59:59.0<NA>189862.67094447108.692357동물약국<NA><NA>00
8318000031800000112013000120130502<NA>1영업/정상0정상<NA><NA><NA><NA>02-785-7648<NA><NA>서울특별시 영등포구 여의도동 26-4번지서울특별시 영등포구 의사당대로 97 (여의도동)7327여의도동물약국2014-04-03 12:58:37I2018-08-31 23:59:59.0<NA>193253.666518446701.353544동물약국<NA><NA>00
9318000031800000112013000220130516<NA>3폐업2폐업20180111<NA><NA><NA>02-3667-1360<NA><NA>서울특별시 영등포구 당산동3가 395-4번지서울특별시 영등포구 당산로31길 14 (당산동3가)7256서울온누리약국2018-01-17 18:16:11I2018-08-31 23:59:59.0<NA>190671.214922447183.141872동물약국<NA><NA>00
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
12931800003180000011202300142023-10-04<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동2가 165 한화포레나당산서울특별시 영등포구 당산로 83, 105동 1호 (당산동2가, 한화포레나당산)7264더나은약국2023-10-04 17:05:57I2022-10-31 00:06:00.0<NA><NA><NA><NA><NA><NA><NA><NA>
13031800003180000011202300152023-10-17<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 대림동 1068-17서울특별시 영등포구 디지털로37길 27, 대덕빌딩 1층 (대림동)7420365중앙약국2023-10-17 13:24:54I2022-10-30 23:09:00.0<NA>190900.582069443205.592358<NA><NA><NA><NA><NA>
13131800003180000011202300162023-11-09<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 452-9서울특별시 영등포구 여의대방로53길 23, 1층 (신길동)7355나눔약국2023-11-09 09:47:03I2022-10-31 23:01:00.0<NA>193033.166936445508.990509<NA><NA><NA><NA><NA>
13231800003180000011202300172023-11-13<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 문래동3가 77-1서울특별시 영등포구 선유로 64, 1층 (문래동3가)7295웃는내일약국2023-11-13 11:32:54I2022-10-31 23:05:00.0<NA>190176.6272446383.661382<NA><NA><NA><NA><NA>
13331800003180000011202300182023-11-16<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동5가 25-11 지하1층서울특별시 영등포구 영중로 46, 지하1층 (영등포동5가)7250성모메디컬약국2023-11-16 10:06:13I2022-10-31 23:08:00.0<NA>191555.442233446478.979683<NA><NA><NA><NA><NA>
13431800003180000011202300192023-12-18<NA>1영업/정상0정상<NA><NA><NA><NA>02-6956-0337<NA><NA>서울특별시 영등포구 신길동 424-3 102호서울특별시 영등포구 신풍로 23, 102호 (신길동)7398신풍역4번출구약국2023-12-18 12:07:26I2022-11-01 22:00:00.0<NA>191833.872329444241.430292<NA><NA><NA><NA><NA>
13531800003180000011202300202023-12-18<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 3844서울특별시 영등포구 신풍로 46, 1층 (신길동)7430신길장수약국2023-12-18 12:26:52I2022-11-01 22:00:00.0<NA>192062.865234444193.224271<NA><NA><NA><NA><NA>
13631800003180000011202400012024-02-13<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 양평동5가 76 양평동한신아파트서울특별시 영등포구 양평로24길 9, 109동 1층 7호 (양평동5가, 양평동한신아파트)7204온누리평안약국2024-02-13 13:35:24I2023-12-01 23:05:00.0<NA>190394.571819448656.726986<NA><NA><NA><NA><NA>
13731800003180000011202400022024-03-15<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 문래동3가 77-30서울특별시 영등포구 선유로 42, 1층 (문래동3가)7295스마트약국2024-03-15 13:18:48I2023-12-02 23:07:00.0<NA>190130.539438446164.896053<NA><NA><NA><NA><NA>
13831800003180000011202400032024-04-04<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 대림동 759-7서울특별시 영등포구 도림로 190, 1층 (대림동)7423영인약국2024-04-04 09:38:48I2023-12-04 00:06:00.0<NA>191286.757966443764.771719<NA><NA><NA><NA><NA>