Overview

Dataset statistics

Number of variables30
Number of observations85
Missing cells829
Missing cells (%)32.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.5 KiB
Average record size in memory259.6 B

Variable types

Categorical9
Numeric5
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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-16517/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 85 (100.0%) missing valuesMissing
폐업일자 has 51 (60.0%) missing valuesMissing
휴업시작일자 has 85 (100.0%) missing valuesMissing
휴업종료일자 has 85 (100.0%) missing valuesMissing
재개업일자 has 85 (100.0%) missing valuesMissing
전화번호 has 15 (17.6%) missing valuesMissing
소재지면적 has 64 (75.3%) missing valuesMissing
소재지우편번호 has 85 (100.0%) missing valuesMissing
지번주소 has 1 (1.2%) missing valuesMissing
도로명주소 has 4 (4.7%) missing valuesMissing
도로명우편번호 has 4 (4.7%) missing valuesMissing
업태구분명 has 85 (100.0%) missing valuesMissing
좌표정보(X) has 5 (5.9%) missing valuesMissing
좌표정보(Y) has 5 (5.9%) missing valuesMissing
축산물가공업구분명 has 85 (100.0%) missing valuesMissing
축산일련번호 has 85 (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
소재지면적 has 8 (9.4%) zerosZeros

Reproduction

Analysis started2024-05-10 23:31:09.959319
Analysis finished2024-05-10 23:31:10.953097
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
3010000
85 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 85
100.0%

Length

2024-05-10T23:31:11.144430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:31:11.501437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 85
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.01 × 1017
Minimum3.01 × 1017
Maximum3.01 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2024-05-10T23:31:11.875131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.01 × 1017
5-th percentile3.01 × 1017
Q13.01 × 1017
median3.01 × 1017
Q33.01 × 1017
95-th percentile3.01 × 1017
Maximum3.01 × 1017
Range200006
Interquartile range (IQR)90048

Descriptive statistics

Standard deviation52670.548
Coefficient of variation (CV)1.7498521 × 10-13
Kurtosis0.67528616
Mean3.01 × 1017
Median Absolute Deviation (MAD)30016
Skewness-1.0735949
Sum7.138256 × 1018
Variance2.7741866 × 109
MonotonicityStrictly increasing
2024-05-10T23:31:12.361668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
301000001120040001 1
 
1.2%
301000001120210010 1
 
1.2%
301000001120220007 1
 
1.2%
301000001120220006 1
 
1.2%
301000001120220005 1
 
1.2%
301000001120220004 1
 
1.2%
301000001120220003 1
 
1.2%
301000001120220002 1
 
1.2%
301000001120220001 1
 
1.2%
301000001120210011 1
 
1.2%
Other values (75) 75
88.2%
ValueCountFrequency (%)
301000001120040001 1
1.2%
301000001120040002 1
1.2%
301000001120040003 1
1.2%
301000001120040004 1
1.2%
301000001120040005 1
1.2%
301000001120110001 1
1.2%
301000001120120001 1
1.2%
301000001120130001 1
1.2%
301000001120130002 1
1.2%
301000001120130003 1
1.2%
ValueCountFrequency (%)
301000001120240007 1
1.2%
301000001120240006 1
1.2%
301000001120240005 1
1.2%
301000001120240004 1
1.2%
301000001120240003 1
1.2%
301000001120240002 1
1.2%
301000001120240001 1
1.2%
301000001120230010 1
1.2%
301000001120230009 1
1.2%
301000001120230008 1
1.2%

인허가일자
Date

Distinct79
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size812.0 B
Minimum2004-03-02 00:00:00
Maximum2024-05-07 00:00:00
2024-05-10T23:31:12.711621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:31:13.067695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
1
51 
3
34 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 51
60.0%
3 34
40.0%

Length

2024-05-10T23:31:13.492258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:31:13.820788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 51
60.0%
3 34
40.0%

영업상태명
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
영업/정상
51 
폐업
34 

Length

Max length5
Median length5
Mean length3.8
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 51
60.0%
폐업 34
40.0%

Length

2024-05-10T23:31:14.186738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:31:14.533144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 51
60.0%
폐업 34
40.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
0
51 
2
34 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 51
60.0%
2 34
40.0%

Length

2024-05-10T23:31:14.890417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:31:15.252285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 51
60.0%
2 34
40.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
정상
51 
폐업
34 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 51
60.0%
폐업 34
40.0%

Length

2024-05-10T23:31:15.614680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:31:15.947326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 51
60.0%
폐업 34
40.0%

폐업일자
Date

MISSING 

Distinct33
Distinct (%)97.1%
Missing51
Missing (%)60.0%
Memory size812.0 B
Minimum2004-05-08 00:00:00
Maximum2024-05-07 00:00:00
2024-05-10T23:31:16.271650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:31:16.615306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

전화번호
Text

MISSING 

Distinct68
Distinct (%)97.1%
Missing15
Missing (%)17.6%
Memory size812.0 B
2024-05-10T23:31:17.252482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length11.771429
Min length8

Characters and Unicode

Total characters824
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

Unique66 ?
Unique (%)94.3%

Sample

1st row2268-4582
2nd row2237-9602
3rd row776-3476
4th row2252-3944
5th row2235-0306
ValueCountFrequency (%)
0507-1428-6645 2
 
2.9%
02-2237-7585 2
 
2.9%
02-3789-3033 1
 
1.4%
0507-1433-0080 1
 
1.4%
0507-1353-5948 1
 
1.4%
02-2233-5704 1
 
1.4%
02-732-2462 1
 
1.4%
02-6324-7575 1
 
1.4%
02-595-7882 1
 
1.4%
02-773-5001 1
 
1.4%
Other values (58) 58
82.9%
2024-05-10T23:31:18.230797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 147
17.8%
- 126
15.3%
0 121
14.7%
7 85
10.3%
3 76
9.2%
5 69
8.4%
6 47
 
5.7%
8 44
 
5.3%
1 43
 
5.2%
4 35
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 698
84.7%
Dash Punctuation 126
 
15.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 147
21.1%
0 121
17.3%
7 85
12.2%
3 76
10.9%
5 69
9.9%
6 47
 
6.7%
8 44
 
6.3%
1 43
 
6.2%
4 35
 
5.0%
9 31
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 126
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 824
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 147
17.8%
- 126
15.3%
0 121
14.7%
7 85
10.3%
3 76
9.2%
5 69
8.4%
6 47
 
5.7%
8 44
 
5.3%
1 43
 
5.2%
4 35
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 824
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 147
17.8%
- 126
15.3%
0 121
14.7%
7 85
10.3%
3 76
9.2%
5 69
8.4%
6 47
 
5.7%
8 44
 
5.3%
1 43
 
5.2%
4 35
 
4.2%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)66.7%
Missing64
Missing (%)75.3%
Infinite0
Infinite (%)0.0%
Mean223.75762
Minimum0
Maximum1795
Zeros8
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size897.0 B
2024-05-10T23:31:18.662570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median64.8
Q3294.93
95-th percentile614
Maximum1795
Range1795
Interquartile range (IQR)294.93

Descriptive statistics

Standard deviation410.01651
Coefficient of variation (CV)1.8324136
Kurtosis11.223725
Mean223.75762
Median Absolute Deviation (MAD)64.8
Skewness3.1119799
Sum4698.91
Variance168113.54
MonotonicityNot monotonic
2024-05-10T23:31:18.973007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 8
 
9.4%
150.84 1
 
1.2%
64.8 1
 
1.2%
18.0 1
 
1.2%
76.0 1
 
1.2%
84.15 1
 
1.2%
22.68 1
 
1.2%
294.93 1
 
1.2%
601.63 1
 
1.2%
286.0 1
 
1.2%
Other values (4) 4
 
4.7%
(Missing) 64
75.3%
ValueCountFrequency (%)
0.0 8
9.4%
18.0 1
 
1.2%
22.68 1
 
1.2%
64.8 1
 
1.2%
76.0 1
 
1.2%
84.15 1
 
1.2%
150.84 1
 
1.2%
286.0 1
 
1.2%
294.93 1
 
1.2%
297.36 1
 
1.2%
ValueCountFrequency (%)
1795.0 1
1.2%
614.0 1
1.2%
601.63 1
1.2%
393.52 1
1.2%
297.36 1
1.2%
294.93 1
1.2%
286.0 1
1.2%
150.84 1
1.2%
84.15 1
1.2%
76.0 1
1.2%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

지번주소
Text

MISSING 

Distinct78
Distinct (%)92.9%
Missing1
Missing (%)1.2%
Memory size812.0 B
2024-05-10T23:31:19.537912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length31.5
Mean length23.107143
Min length12

Characters and Unicode

Total characters1941
Distinct characters160
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

Unique72 ?
Unique (%)85.7%

Sample

1st row서울특별시 중구 묵정동 30-6 번지
2nd row서울특별시 중구 신당동 140-4번지
3rd row서울특별시 중구 태평로2가 68-6번지
4th row서울특별시 중구 신당동 353-8 번지
5th row서울특별시 중구 신당동 366-109 번지
ValueCountFrequency (%)
서울특별시 84
21.4%
중구 84
21.4%
신당동 26
 
6.6%
황학동 6
 
1.5%
1층 5
 
1.3%
태평로2가 3
 
0.8%
서소문동 3
 
0.8%
번지 3
 
0.8%
을지로2가 3
 
0.8%
청계천 2
 
0.5%
Other values (153) 174
44.3%
2024-05-10T23:31:20.602731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
353
18.2%
서 87
 
4.5%
시 86
 
4.4%
중 86
 
4.4%
구 86
 
4.4%
특 84
 
4.3%
별 84
 
4.3%
울 84
 
4.3%
1 82
 
4.2%
동 66
 
3.4%
Other values (150) 843
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1141
58.8%
Space Separator 353
 
18.2%
Decimal Number 345
 
17.8%
Dash Punctuation 59
 
3.0%
Uppercase Letter 20
 
1.0%
Lowercase Letter 17
 
0.9%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 87
 
7.6%
시 86
 
7.5%
중 86
 
7.5%
구 86
 
7.5%
특 84
 
7.4%
별 84
 
7.4%
울 84
 
7.4%
동 66
 
5.8%
지 46
 
4.0%
가 37
 
3.2%
Other values (117) 395
34.6%
Decimal Number
ValueCountFrequency (%)
1 82
23.8%
3 52
15.1%
2 49
14.2%
5 29
 
8.4%
6 25
 
7.2%
9 25
 
7.2%
0 24
 
7.0%
4 23
 
6.7%
7 18
 
5.2%
8 18
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
J 4
20.0%
A 3
15.0%
Y 2
10.0%
P 2
10.0%
E 2
10.0%
C 2
10.0%
M 2
10.0%
R 1
 
5.0%
N 1
 
5.0%
T 1
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
29.4%
s 2
 
11.8%
r 2
 
11.8%
t 2
 
11.8%
a 2
 
11.8%
n 1
 
5.9%
l 1
 
5.9%
c 1
 
5.9%
i 1
 
5.9%
Space Separator
ValueCountFrequency (%)
353
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1141
58.8%
Common 763
39.3%
Latin 37
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 87
 
7.6%
시 86
 
7.5%
중 86
 
7.5%
구 86
 
7.5%
특 84
 
7.4%
별 84
 
7.4%
울 84
 
7.4%
동 66
 
5.8%
지 46
 
4.0%
가 37
 
3.2%
Other values (117) 395
34.6%
Latin
ValueCountFrequency (%)
e 5
13.5%
J 4
 
10.8%
A 3
 
8.1%
Y 2
 
5.4%
P 2
 
5.4%
s 2
 
5.4%
E 2
 
5.4%
C 2
 
5.4%
M 2
 
5.4%
r 2
 
5.4%
Other values (9) 11
29.7%
Common
ValueCountFrequency (%)
353
46.3%
1 82
 
10.7%
- 59
 
7.7%
3 52
 
6.8%
2 49
 
6.4%
5 29
 
3.8%
6 25
 
3.3%
9 25
 
3.3%
0 24
 
3.1%
4 23
 
3.0%
Other values (4) 42
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1141
58.8%
ASCII 800
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
353
44.1%
1 82
 
10.2%
- 59
 
7.4%
3 52
 
6.5%
2 49
 
6.1%
5 29
 
3.6%
6 25
 
3.1%
9 25
 
3.1%
0 24
 
3.0%
4 23
 
2.9%
Other values (23) 79
 
9.9%
Hangul
ValueCountFrequency (%)
서 87
 
7.6%
시 86
 
7.5%
중 86
 
7.5%
구 86
 
7.5%
특 84
 
7.4%
별 84
 
7.4%
울 84
 
7.4%
동 66
 
5.8%
지 46
 
4.0%
가 37
 
3.2%
Other values (117) 395
34.6%

도로명주소
Text

MISSING 

Distinct79
Distinct (%)97.5%
Missing4
Missing (%)4.7%
Memory size812.0 B
2024-05-10T23:31:21.137956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length45
Mean length32.074074
Min length22

Characters and Unicode

Total characters2598
Distinct characters177
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

Unique77 ?
Unique (%)95.1%

Sample

1st row서울특별시 중구 퇴계로 436 (신당동)
2nd row서울특별시 중구 다산로 82, 1층 (신당동)
3rd row서울특별시 중구 다산로39길 11 (무학동)
4th row서울특별시 중구 다산로11길 3 (신당동)
5th row서울특별시 중구 서애로1길 18 (필동3가)
ValueCountFrequency (%)
서울특별시 81
 
15.3%
중구 81
 
15.3%
1층 35
 
6.6%
신당동 25
 
4.7%
퇴계로 9
 
1.7%
다산로 8
 
1.5%
황학동 6
 
1.1%
을지로 5
 
0.9%
2층 4
 
0.8%
동호로 4
 
0.8%
Other values (209) 270
51.1%
2024-05-10T23:31:22.179036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
447
 
17.2%
1 143
 
5.5%
로 100
 
3.8%
서 89
 
3.4%
시 83
 
3.2%
중 83
 
3.2%
구 83
 
3.2%
) 83
 
3.2%
( 83
 
3.2%
특 81
 
3.1%
Other values (167) 1323
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1438
55.4%
Space Separator 447
 
17.2%
Decimal Number 416
 
16.0%
Close Punctuation 83
 
3.2%
Open Punctuation 83
 
3.2%
Other Punctuation 81
 
3.1%
Uppercase Letter 21
 
0.8%
Lowercase Letter 17
 
0.7%
Dash Punctuation 12
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 100
 
7.0%
서 89
 
6.2%
시 83
 
5.8%
중 83
 
5.8%
구 83
 
5.8%
특 81
 
5.6%
별 81
 
5.6%
울 81
 
5.6%
동 80
 
5.6%
층 47
 
3.3%
Other values (132) 630
43.8%
Uppercase Letter
ValueCountFrequency (%)
B 4
19.0%
J 4
19.0%
C 2
9.5%
E 2
9.5%
Y 2
9.5%
A 2
9.5%
P 1
 
4.8%
M 1
 
4.8%
N 1
 
4.8%
T 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
1 143
34.4%
2 69
16.6%
3 48
 
11.5%
4 38
 
9.1%
0 37
 
8.9%
7 21
 
5.0%
5 20
 
4.8%
6 16
 
3.8%
9 12
 
2.9%
8 12
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
e 5
29.4%
t 2
 
11.8%
s 2
 
11.8%
a 2
 
11.8%
r 2
 
11.8%
l 1
 
5.9%
c 1
 
5.9%
n 1
 
5.9%
i 1
 
5.9%
Space Separator
ValueCountFrequency (%)
447
100.0%
Close Punctuation
ValueCountFrequency (%)
) 83
100.0%
Open Punctuation
ValueCountFrequency (%)
( 83
100.0%
Other Punctuation
ValueCountFrequency (%)
, 81
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1438
55.4%
Common 1122
43.2%
Latin 38
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 100
 
7.0%
서 89
 
6.2%
시 83
 
5.8%
중 83
 
5.8%
구 83
 
5.8%
특 81
 
5.6%
별 81
 
5.6%
울 81
 
5.6%
동 80
 
5.6%
층 47
 
3.3%
Other values (132) 630
43.8%
Latin
ValueCountFrequency (%)
e 5
13.2%
B 4
 
10.5%
J 4
 
10.5%
C 2
 
5.3%
E 2
 
5.3%
t 2
 
5.3%
s 2
 
5.3%
Y 2
 
5.3%
a 2
 
5.3%
r 2
 
5.3%
Other values (10) 11
28.9%
Common
ValueCountFrequency (%)
447
39.8%
1 143
 
12.7%
) 83
 
7.4%
( 83
 
7.4%
, 81
 
7.2%
2 69
 
6.1%
3 48
 
4.3%
4 38
 
3.4%
0 37
 
3.3%
7 21
 
1.9%
Other values (5) 72
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1438
55.4%
ASCII 1160
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
447
38.5%
1 143
 
12.3%
) 83
 
7.2%
( 83
 
7.2%
, 81
 
7.0%
2 69
 
5.9%
3 48
 
4.1%
4 38
 
3.3%
0 37
 
3.2%
7 21
 
1.8%
Other values (25) 110
 
9.5%
Hangul
ValueCountFrequency (%)
로 100
 
7.0%
서 89
 
6.2%
시 83
 
5.8%
중 83
 
5.8%
구 83
 
5.8%
특 81
 
5.6%
별 81
 
5.6%
울 81
 
5.6%
동 80
 
5.6%
층 47
 
3.3%
Other values (132) 630
43.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)61.7%
Missing4
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean4565.9506
Minimum4500
Maximum4632
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2024-05-10T23:31:22.667991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4500
5-th percentile4513
Q14534
median4572
Q34597
95-th percentile4624
Maximum4632
Range132
Interquartile range (IQR)63

Descriptive statistics

Standard deviation36.067957
Coefficient of variation (CV)0.0078993314
Kurtosis-1.1597358
Mean4565.9506
Median Absolute Deviation (MAD)32
Skewness0.038224265
Sum369842
Variance1300.8975
MonotonicityNot monotonic
2024-05-10T23:31:23.114422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4529 5
 
5.9%
4597 4
 
4.7%
4573 4
 
4.7%
4534 3
 
3.5%
4578 3
 
3.5%
4598 3
 
3.5%
4535 2
 
2.4%
4516 2
 
2.4%
4514 2
 
2.4%
4539 2
 
2.4%
Other values (40) 51
60.0%
(Missing) 4
 
4.7%
ValueCountFrequency (%)
4500 1
 
1.2%
4503 1
 
1.2%
4512 2
 
2.4%
4513 1
 
1.2%
4514 2
 
2.4%
4516 2
 
2.4%
4520 1
 
1.2%
4522 1
 
1.2%
4529 5
5.9%
4532 1
 
1.2%
ValueCountFrequency (%)
4632 1
1.2%
4631 1
1.2%
4625 1
1.2%
4624 2
2.4%
4623 2
2.4%
4619 1
1.2%
4611 2
2.4%
4608 2
2.4%
4607 1
1.2%
4599 1
1.2%

사업장명
Text

Distinct79
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size812.0 B
2024-05-10T23:31:23.815670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length5.3647059
Min length3

Characters and Unicode

Total characters456
Distinct characters126
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)85.9%

Sample

1st row메디팜제일약국
2nd row신당중앙약국
3rd row태평로약국
4th row대풍약국
5th row은석약국
ValueCountFrequency (%)
대풍약국 2
 
2.2%
제니스약국 2
 
2.2%
약수호랑이약국 2
 
2.2%
덕수궁돌담약국 2
 
2.2%
조이약국 2
 
2.2%
푸른소나무약국 2
 
2.2%
연합약국 1
 
1.1%
꽃피는온누리약국 1
 
1.1%
남산우리약국 1
 
1.1%
고향약국 1
 
1.1%
Other values (73) 73
82.0%
2024-05-10T23:31:24.946993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 89
19.5%
국 86
18.9%
동 13
 
2.9%
이 11
 
2.4%
리 9
 
2.0%
스 8
 
1.8%
누 7
 
1.5%
온 7
 
1.5%
수 7
 
1.5%
하 6
 
1.3%
Other values (116) 213
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 447
98.0%
Decimal Number 5
 
1.1%
Space Separator 4
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 89
19.9%
국 86
19.2%
동 13
 
2.9%
이 11
 
2.5%
리 9
 
2.0%
스 8
 
1.8%
누 7
 
1.6%
온 7
 
1.6%
수 7
 
1.6%
하 6
 
1.3%
Other values (111) 204
45.6%
Decimal Number
ValueCountFrequency (%)
8 2
40.0%
5 1
20.0%
9 1
20.0%
1 1
20.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 447
98.0%
Common 9
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 89
19.9%
국 86
19.2%
동 13
 
2.9%
이 11
 
2.5%
리 9
 
2.0%
스 8
 
1.8%
누 7
 
1.6%
온 7
 
1.6%
수 7
 
1.6%
하 6
 
1.3%
Other values (111) 204
45.6%
Common
ValueCountFrequency (%)
4
44.4%
8 2
22.2%
5 1
 
11.1%
9 1
 
11.1%
1 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 447
98.0%
ASCII 9
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 89
19.9%
국 86
19.2%
동 13
 
2.9%
이 11
 
2.5%
리 9
 
2.0%
스 8
 
1.8%
누 7
 
1.6%
온 7
 
1.6%
수 7
 
1.6%
하 6
 
1.3%
Other values (111) 204
45.6%
ASCII
ValueCountFrequency (%)
4
44.4%
8 2
22.2%
5 1
 
11.1%
9 1
 
11.1%
1 1
 
11.1%

최종수정일자
Date

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
Minimum2004-05-08 10:25:36
Maximum2024-05-07 14:09:24
2024-05-10T23:31:25.328069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:31:25.917154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
I
59 
U
26 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 59
69.4%
U 26
30.6%

Length

2024-05-10T23:31:26.419140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:31:26.748258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 59
69.4%
u 26
30.6%

데이터갱신일자
Date

Distinct56
Distinct (%)65.9%
Missing0
Missing (%)0.0%
Memory size812.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-10T23:31:27.287047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:31:28.394414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)91.2%
Missing5
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean199798.34
Minimum196711.1
Maximum202131.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2024-05-10T23:31:29.048985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196711.1
5-th percentile197556.62
Q1198353.86
median199703.32
Q3201132.36
95-th percentile201869.85
Maximum202131.75
Range5420.6477
Interquartile range (IQR)2778.5033

Descriptive statistics

Standard deviation1519.4286
Coefficient of variation (CV)0.0076048111
Kurtosis-1.4476244
Mean199798.34
Median Absolute Deviation (MAD)1353.015
Skewness-0.08681332
Sum15983867
Variance2308663.4
MonotonicityNot monotonic
2024-05-10T23:31:29.688251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201978.359014791 3
 
3.5%
199598.919267432 2
 
2.4%
201442.039019479 2
 
2.4%
197853.60848348 2
 
2.4%
200884.800299151 2
 
2.4%
200817.3218528 2
 
2.4%
197660.714751469 1
 
1.2%
201705.769286789 1
 
1.2%
200939.621760694 1
 
1.2%
200664.582936542 1
 
1.2%
Other values (63) 63
74.1%
(Missing) 5
 
5.9%
ValueCountFrequency (%)
196711.099340642 1
1.2%
197517.157288952 1
1.2%
197528.707279402 1
1.2%
197553.417234076 1
1.2%
197556.788281973 1
1.2%
197660.714751469 1
1.2%
197853.60848348 2
2.4%
197916.172884617 1
1.2%
197945.977104628 1
1.2%
197977.904480598 1
1.2%
ValueCountFrequency (%)
202131.747052459 1
 
1.2%
201978.359014791 3
3.5%
201864.13501274 1
 
1.2%
201823.908977364 1
 
1.2%
201733.858450146 1
 
1.2%
201718.517034265 1
 
1.2%
201705.769286789 1
 
1.2%
201691.903143786 1
 
1.2%
201676.280853428 1
 
1.2%
201675.409021013 1
 
1.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)91.2%
Missing5
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean451097.34
Minimum449638.82
Maximum452076.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2024-05-10T23:31:30.218290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449638.82
5-th percentile450117.8
Q1450773.91
median451205.07
Q3451479.61
95-th percentile451960.87
Maximum452076.82
Range2437.9944
Interquartile range (IQR)705.69868

Descriptive statistics

Standard deviation554.76476
Coefficient of variation (CV)0.0012298116
Kurtosis-0.30428252
Mean451097.34
Median Absolute Deviation (MAD)328.26299
Skewness-0.52730374
Sum36087788
Variance307763.94
MonotonicityNot monotonic
2024-05-10T23:31:30.899877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452005.950500534 3
 
3.5%
451027.764382279 2
 
2.4%
451619.845549151 2
 
2.4%
451267.165257914 2
 
2.4%
450211.090844303 2
 
2.4%
450240.079713616 2
 
2.4%
451085.89421183 1
 
1.2%
451515.5376944 1
 
1.2%
450380.44780687 1
 
1.2%
451781.8683954 1
 
1.2%
Other values (63) 63
74.1%
(Missing) 5
 
5.9%
ValueCountFrequency (%)
449638.824308081 1
1.2%
449927.503073754 1
1.2%
450075.37145899 1
1.2%
450103.32103304 1
1.2%
450118.557709483 1
1.2%
450131.890199294 1
1.2%
450195.179153061 1
1.2%
450211.090844303 2
2.4%
450240.079713616 2
2.4%
450277.600241968 1
1.2%
ValueCountFrequency (%)
452076.818664092 1
 
1.2%
452005.950500534 3
3.5%
451958.495584927 1
 
1.2%
451834.304529441 1
 
1.2%
451781.8683954 1
 
1.2%
451694.842893728 1
 
1.2%
451689.785216541 1
 
1.2%
451681.95803574 1
 
1.2%
451658.304454683 1
 
1.2%
451650.955791238 1
 
1.2%

축산업무구분명
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
동물약국
46 
<NA>
39 

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 46
54.1%
<NA> 39
45.9%

Length

2024-05-10T23:31:31.461542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:31:31.937897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물약국 46
54.1%
na 39
45.9%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

권리주체일련번호
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
0
46 
<NA>
39 

Length

Max length4
Median length1
Mean length2.3764706
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 46
54.1%
<NA> 39
45.9%

Length

2024-05-10T23:31:32.417550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:31:32.790110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 46
54.1%
na 39
45.9%

총인원
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
0
46 
<NA>
39 

Length

Max length4
Median length1
Mean length2.3764706
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 46
54.1%
<NA> 39
45.9%

Length

2024-05-10T23:31:33.152913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:31:33.588845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 46
54.1%
na 39
45.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0301000030100000112004000120040302<NA>3폐업2폐업20040508<NA><NA><NA>2268-4582150.84<NA>서울특별시 중구 묵정동 30-6 번지<NA><NA>메디팜제일약국2004-05-08 10:25:36I2018-08-31 23:59:59.0<NA><NA><NA>동물약국<NA><NA>00
1301000030100000112004000220040308<NA>3폐업2폐업20150331<NA><NA><NA>2237-960264.8<NA>서울특별시 중구 신당동 140-4번지서울특별시 중구 퇴계로 436 (신당동)4578신당중앙약국2015-03-31 16:37:40I2018-08-31 23:59:59.0<NA>201691.903144451465.657347동물약국<NA><NA>00
2301000030100000112004000320040408<NA>3폐업2폐업20060612<NA><NA><NA>776-347618.0<NA>서울특별시 중구 태평로2가 68-6번지<NA><NA>태평로약국2006-06-12 13:35:02I2018-08-31 23:59:59.0<NA>197916.172885451198.454293동물약국<NA><NA>00
3301000030100000112004000420040621<NA>3폐업2폐업20090508<NA><NA><NA>2252-394476.0<NA>서울특별시 중구 신당동 353-8 번지<NA><NA>대풍약국2009-05-08 10:31:56I2018-08-31 23:59:59.0<NA><NA><NA>동물약국<NA><NA>00
4301000030100000112004000520041125<NA>3폐업2폐업20110809<NA><NA><NA>2235-030684.15<NA>서울특별시 중구 신당동 366-109 번지<NA><NA>은석약국2011-08-09 17:51:37I2018-08-31 23:59:59.0<NA><NA><NA>동물약국<NA><NA>00
5301000030100000112011000120110809<NA>1영업/정상0정상<NA><NA><NA><NA><NA>22.68<NA>서울특별시 중구 신당동 366-106번지서울특별시 중구 다산로 82, 1층 (신당동)4597허브약국2017-07-12 14:05:57I2018-08-31 23:59:59.0<NA>200673.135502449927.503074동물약국<NA><NA>00
6301000030100000112012000120120717<NA>3폐업2폐업20190114<NA><NA><NA>2237-03880.0<NA>서울특별시 중구 무학동 32번지서울특별시 중구 다산로39길 11 (무학동)4611정다운약국2019-01-14 15:02:09U2019-01-16 02:40:00.0<NA>201270.679609451321.067882동물약국<NA><NA>00
7301000030100000112013000120130312<NA>3폐업2폐업20131205<NA><NA><NA><NA><NA><NA>서울특별시 중구 신당동 369-11번지서울특별시 중구 다산로11길 3 (신당동)4598푸른소나무약국2013-12-06 13:43:13I2018-08-31 23:59:59.0<NA>200817.321853450240.079714동물약국<NA><NA>00
8301000030100000112013000220130516<NA>3폐업2폐업20151006<NA><NA><NA>02-2268-1120<NA><NA>서울특별시 중구 필동3가 19-6번지서울특별시 중구 서애로1길 18 (필동3가)4623대종약국2015-10-07 11:10:05I2018-08-31 23:59:59.0<NA>199839.017583450949.317053동물약국<NA><NA>00
9301000030100000112013000320130604<NA>3폐업2폐업20190404<NA><NA><NA>0222520450<NA><NA>서울특별시 중구 신당동 52-13번지서울특별시 중구 다산로40길 56 (신당동)4585기풍약국2019-04-05 10:48:13U2019-04-07 02:40:00.0<NA>201615.311366451211.68485동물약국<NA><NA>00
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
7530100003010000011202300082023-08-29<NA>1영업/정상0정상<NA><NA><NA><NA>02-2256-6790<NA><NA>서울특별시 중구 신당동 369-48 JYJ빌딩서울특별시 중구 동호로 179, JYJ빌딩 1층 (신당동)4597약수호랑이약국2023-08-29 10:18:17I2022-12-07 21:01:00.0<NA>200884.800299450211.090844<NA><NA><NA><NA><NA>
7630100003010000011202300092023-09-18<NA>1영업/정상0정상<NA><NA><NA><NA>2235-7193<NA><NA>서울특별시 중구 신당동 150-12서울특별시 중구 퇴계로 452-1, B동 1층 (신당동)4578스타온누리약국2023-09-18 09:31:42I2022-12-08 22:00:00.0<NA>201864.135013451447.781681<NA><NA><NA><NA><NA>
7730100003010000011202300102023-11-14<NA>1영업/정상0정상<NA><NA><NA><NA>02-3706-7204<NA><NA>서울특별시 중구 을지로4가 323 을지트윈타워서울특별시 중구 을지로 170, 을지트윈타워 1층 107호 (을지로4가)4548을지약국2023-11-14 10:53:35I2022-10-31 23:06:00.0<NA>199693.302714451535.867323<NA><NA><NA><NA><NA>
7830100003010000011202400012024-01-22<NA>1영업/정상0정상<NA><NA><NA><NA>02-2252-3354<NA><NA>서울특별시 중구 황학동 719서울특별시 중구 퇴계로 435, 1층 (황학동)4576상산약국2024-01-22 09:18:10I2023-11-30 22:04:00.0<NA>201705.769287451515.537694<NA><NA><NA><NA><NA>
7930100003010000011202400022024-02-05<NA>1영업/정상0정상<NA><NA><NA><NA>0507-1440-8119<NA><NA>서울특별시 중구 서소문동 120-11서울특별시 중구 세종대로11길 27, 1층 (서소문동)4513호약국2024-02-05 08:52:31I2023-12-02 00:07:00.0<NA>197660.714751451085.894212<NA><NA><NA><NA><NA>
8030100003010000011202400032024-03-18<NA>1영업/정상0정상<NA><NA><NA><NA>02-2237-7585<NA><NA>서울특별시 중구 황학동 2153서울특별시 중구 난계로23길 1 (황학동)4573백현약국2024-03-18 16:53:28I2023-12-02 22:00:00.0<NA>201978.359015452005.950501<NA><NA><NA><NA><NA>
8130100003010000011202400042024-03-28<NA>1영업/정상0정상<NA><NA><NA><NA>070-4880-4364<NA><NA>서울특별시 중구 신당동 336-7서울특별시 중구 다산로 171, 1층 (신당동)4608가나약국2024-03-28 09:49:54I2023-12-02 21:00:00.0<NA>201043.052862450728.716984<NA><NA><NA><NA><NA>
8230100003010000011202400052024-04-04<NA>1영업/정상0정상<NA><NA><NA><NA>0507-1332-2279<NA><NA>서울특별시 중구 신당동 372-3서울특별시 중구 동호로 171, 1층 (신당동)4596약수스타약국2024-04-04 09:48:33I2023-12-04 00:06:00.0<NA>200931.446401450131.890199<NA><NA><NA><NA><NA>
8330100003010000011202400062024-04-19<NA>1영업/정상0정상<NA><NA><NA><NA>0507-1475-03450.0<NA>서울특별시 중구 신당동 857 약수역 더시티서울특별시 중구 동호로7길 14, 113호 (신당동, 약수역 더시티)4597다나약국2024-04-29 09:29:41U2023-12-05 00:01:00.0<NA>200873.82529450103.321033<NA><NA><NA><NA><NA>
8430100003010000011202400072024-05-07<NA>1영업/정상0정상<NA><NA><NA><NA>0507-1428-6645<NA><NA>서울특별시 중구 흥인동 13-1 청계천 두산위브더제니스서울특별시 중구 다산로46길 17, 청계천 두산위브더제니스 2층 213호 (흥인동)4570제니스약국2024-05-07 14:09:24I2023-12-05 00:09:00.0<NA>201442.039019451619.845549<NA><NA><NA><NA><NA>