Overview

Dataset statistics

Number of variables30
Number of observations189
Missing cells1432
Missing cells (%)25.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory47.7 KiB
Average record size in memory258.7 B

Variable types

Categorical12
Numeric4
DateTime4
Unsupported6
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
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-16531/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (94.0%)Imbalance
휴업종료일자 is highly imbalanced (95.2%)Imbalance
소재지면적 is highly imbalanced (54.6%)Imbalance
총인원 is highly imbalanced (63.9%)Imbalance
인허가취소일자 has 189 (100.0%) missing valuesMissing
폐업일자 has 134 (70.9%) missing valuesMissing
재개업일자 has 189 (100.0%) missing valuesMissing
전화번호 has 99 (52.4%) missing valuesMissing
소재지우편번호 has 189 (100.0%) missing valuesMissing
지번주소 has 3 (1.6%) missing valuesMissing
도로명주소 has 5 (2.6%) missing valuesMissing
도로명우편번호 has 9 (4.8%) missing valuesMissing
업태구분명 has 189 (100.0%) missing valuesMissing
좌표정보(X) has 24 (12.7%) missing valuesMissing
좌표정보(Y) has 24 (12.7%) missing valuesMissing
축산물가공업구분명 has 189 (100.0%) missing valuesMissing
축산일련번호 has 189 (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
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 started2024-05-18 00:40:07.351061
Analysis finished2024-05-18 00:40:08.414348
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3150000
189 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 189
100.0%

Length

2024-05-18T09:40:08.617130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:40:09.004695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 189
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct189
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.15 × 1017
Minimum3.15 × 1017
Maximum3.15 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-18T09:40:09.372170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.15 × 1017
5-th percentile3.15 × 1017
Q13.15 × 1017
median3.15 × 1017
Q33.15 × 1017
95-th percentile3.15 × 1017
Maximum3.15 × 1017
Range200009
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation43000.269
Coefficient of variation (CV)1.3650879 × 10-13
Kurtosis2.8733137
Mean3.15 × 1017
Median Absolute Deviation (MAD)20032
Skewness-1.6574765
Sum4.194768 × 1018
Variance1.8490231 × 109
MonotonicityStrictly increasing
2024-05-18T09:40:09.864704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
315000001120040001 1
 
0.5%
315000001120210027 1
 
0.5%
315000001120210018 1
 
0.5%
315000001120210019 1
 
0.5%
315000001120210020 1
 
0.5%
315000001120210021 1
 
0.5%
315000001120210022 1
 
0.5%
315000001120210023 1
 
0.5%
315000001120210024 1
 
0.5%
315000001120210025 1
 
0.5%
Other values (179) 179
94.7%
ValueCountFrequency (%)
315000001120040001 1
0.5%
315000001120040002 1
0.5%
315000001120040003 1
0.5%
315000001120040004 1
0.5%
315000001120050001 1
0.5%
315000001120060001 1
0.5%
315000001120060002 1
0.5%
315000001120070001 1
0.5%
315000001120090001 1
0.5%
315000001120100001 1
0.5%
ValueCountFrequency (%)
315000001120240010 1
0.5%
315000001120240009 1
0.5%
315000001120240008 1
0.5%
315000001120240007 1
0.5%
315000001120240006 1
0.5%
315000001120240005 1
0.5%
315000001120240004 1
0.5%
315000001120240003 1
0.5%
315000001120240002 1
0.5%
315000001120240001 1
0.5%
Distinct173
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2004-02-18 00:00:00
Maximum2024-04-26 00:00:00
2024-05-18T09:40:10.271389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:40:10.590719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing189
Missing (%)100.0%
Memory size1.8 KiB
Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
1
132 
3
55 
2
 
2

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 (%)
1 132
69.8%
3 55
29.1%
2 2
 
1.1%

Length

2024-05-18T09:40:10.885201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:40:11.172884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 132
69.8%
3 55
29.1%
2 2
 
1.1%

영업상태명
Categorical

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
영업/정상
132 
폐업
55 
휴업
 
2

Length

Max length5
Median length5
Mean length4.0952381
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 132
69.8%
폐업 55
29.1%
휴업 2
 
1.1%

Length

2024-05-18T09:40:11.581618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:40:12.000566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 132
69.8%
폐업 55
29.1%
휴업 2
 
1.1%
Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
132 
2
55 
1
 
2

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 (%)
0 132
69.8%
2 55
29.1%
1 2
 
1.1%

Length

2024-05-18T09:40:12.297136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:40:12.640274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 132
69.8%
2 55
29.1%
1 2
 
1.1%
Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
정상
132 
폐업
55 
휴업
 
2

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 132
69.8%
폐업 55
29.1%
휴업 2
 
1.1%

Length

2024-05-18T09:40:12.978780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:40:13.291955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 132
69.8%
폐업 55
29.1%
휴업 2
 
1.1%

폐업일자
Date

MISSING 

Distinct54
Distinct (%)98.2%
Missing134
Missing (%)70.9%
Memory size1.6 KiB
Minimum2004-02-18 00:00:00
Maximum2024-03-13 00:00:00
2024-05-18T09:40:13.660553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:40:14.343704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
187 
20180725
 
1
20211111
 
1

Length

Max length8
Median length4
Mean length4.042328
Min length4

Unique

Unique2 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 187
98.9%
20180725 1
 
0.5%
20211111 1
 
0.5%

Length

2024-05-18T09:40:14.897360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:40:15.314249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 187
98.9%
20180725 1
 
0.5%
20211111 1
 
0.5%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
188 
20200725
 
1

Length

Max length8
Median length4
Mean length4.021164
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 188
99.5%
20200725 1
 
0.5%

Length

2024-05-18T09:40:15.954495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:40:16.354594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 188
99.5%
20200725 1
 
0.5%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing189
Missing (%)100.0%
Memory size1.8 KiB

전화번호
Text

MISSING 

Distinct82
Distinct (%)91.1%
Missing99
Missing (%)52.4%
Memory size1.6 KiB
2024-05-18T09:40:17.483108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.577778
Min length8

Characters and Unicode

Total characters952
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

Unique75 ?
Unique (%)83.3%

Sample

1st row2065-2998
2nd row2693-1044
3rd row2601-1640
4th row2663-5547
5th row2693-1044
ValueCountFrequency (%)
2693-1044 3
 
3.3%
2601-1640 2
 
2.2%
02-2694-9228 2
 
2.2%
2065-2998 2
 
2.2%
02-3663-1113 2
 
2.2%
2608-5264 2
 
2.2%
2602-5269 2
 
2.2%
070-8262-8618 1
 
1.1%
02-2602-5884 1
 
1.1%
02-2605-0556 1
 
1.1%
Other values (72) 72
80.0%
2024-05-18T09:40:18.840294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 165
17.3%
6 153
16.1%
- 127
13.3%
0 114
12.0%
1 71
7.5%
3 60
 
6.3%
5 57
 
6.0%
9 52
 
5.5%
8 52
 
5.5%
7 52
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 825
86.7%
Dash Punctuation 127
 
13.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 165
20.0%
6 153
18.5%
0 114
13.8%
1 71
8.6%
3 60
 
7.3%
5 57
 
6.9%
9 52
 
6.3%
8 52
 
6.3%
7 52
 
6.3%
4 49
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 952
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 165
17.3%
6 153
16.1%
- 127
13.3%
0 114
12.0%
1 71
7.5%
3 60
 
6.3%
5 57
 
6.0%
9 52
 
5.5%
8 52
 
5.5%
7 52
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 952
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 165
17.3%
6 153
16.1%
- 127
13.3%
0 114
12.0%
1 71
7.5%
3 60
 
6.3%
5 57
 
6.0%
9 52
 
5.5%
8 52
 
5.5%
7 52
 
5.5%

소재지면적
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
139 
0.0
48 
52.5
 
1
36.24
 
1

Length

Max length5
Median length4
Mean length3.7513228
Min length3

Unique

Unique2 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 139
73.5%
0.0 48
 
25.4%
52.5 1
 
0.5%
36.24 1
 
0.5%

Length

2024-05-18T09:40:19.410917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:40:19.874627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 139
73.5%
0.0 48
 
25.4%
52.5 1
 
0.5%
36.24 1
 
0.5%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing189
Missing (%)100.0%
Memory size1.8 KiB

지번주소
Text

MISSING 

Distinct161
Distinct (%)86.6%
Missing3
Missing (%)1.6%
Memory size1.6 KiB
2024-05-18T09:40:20.756425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length34
Mean length25.037634
Min length14

Characters and Unicode

Total characters4657
Distinct characters196
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique142 ?
Unique (%)76.3%

Sample

1st row서울특별시 강서구 화곡동 343-61번지
2nd row서울특별시 강서구 화곡동 969-12번지
3rd row서울특별시 강서구 화곡동 1032-27 번지
4th row서울특별시 강서구 화곡동 832-11 번지
5th row서울특별시 강서구 방화동 579-1 번지
ValueCountFrequency (%)
서울특별시 186
21.2%
강서구 186
21.2%
화곡동 69
 
7.9%
마곡동 43
 
4.9%
등촌동 26
 
3.0%
내발산동 18
 
2.1%
염창동 10
 
1.1%
방화동 10
 
1.1%
가양동 8
 
0.9%
1165-1 5
 
0.6%
Other values (256) 315
36.0%
2024-05-18T09:40:22.237146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
790
17.0%
383
 
8.2%
1 198
 
4.3%
197
 
4.2%
196
 
4.2%
192
 
4.1%
189
 
4.1%
186
 
4.0%
186
 
4.0%
186
 
4.0%
Other values (186) 1954
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2838
60.9%
Decimal Number 863
 
18.5%
Space Separator 790
 
17.0%
Dash Punctuation 149
 
3.2%
Uppercase Letter 6
 
0.1%
Letter Number 4
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
383
13.5%
197
 
6.9%
196
 
6.9%
192
 
6.8%
189
 
6.7%
186
 
6.6%
186
 
6.6%
186
 
6.6%
128
 
4.5%
85
 
3.0%
Other values (161) 910
32.1%
Decimal Number
ValueCountFrequency (%)
1 198
22.9%
7 105
12.2%
0 88
10.2%
6 84
9.7%
3 84
9.7%
9 64
 
7.4%
8 62
 
7.2%
2 62
 
7.2%
5 60
 
7.0%
4 56
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
C 2
33.3%
J 1
16.7%
S 1
16.7%
B 1
16.7%
R 1
16.7%
Letter Number
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%
Lowercase Letter
ValueCountFrequency (%)
i 1
50.0%
o 1
50.0%
Space Separator
ValueCountFrequency (%)
790
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 149
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2838
60.9%
Common 1807
38.8%
Latin 12
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
383
13.5%
197
 
6.9%
196
 
6.9%
192
 
6.8%
189
 
6.7%
186
 
6.6%
186
 
6.6%
186
 
6.6%
128
 
4.5%
85
 
3.0%
Other values (161) 910
32.1%
Common
ValueCountFrequency (%)
790
43.7%
1 198
 
11.0%
- 149
 
8.2%
7 105
 
5.8%
0 88
 
4.9%
6 84
 
4.6%
3 84
 
4.6%
9 64
 
3.5%
8 62
 
3.4%
2 62
 
3.4%
Other values (5) 121
 
6.7%
Latin
ValueCountFrequency (%)
2
16.7%
C 2
16.7%
1
8.3%
J 1
8.3%
S 1
8.3%
B 1
8.3%
1
8.3%
i 1
8.3%
o 1
8.3%
R 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2838
60.9%
ASCII 1815
39.0%
Number Forms 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
790
43.5%
1 198
 
10.9%
- 149
 
8.2%
7 105
 
5.8%
0 88
 
4.8%
6 84
 
4.6%
3 84
 
4.6%
9 64
 
3.5%
8 62
 
3.4%
2 62
 
3.4%
Other values (12) 129
 
7.1%
Hangul
ValueCountFrequency (%)
383
13.5%
197
 
6.9%
196
 
6.9%
192
 
6.8%
189
 
6.7%
186
 
6.6%
186
 
6.6%
186
 
6.6%
128
 
4.5%
85
 
3.0%
Other values (161) 910
32.1%
Number Forms
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%

도로명주소
Text

MISSING 

Distinct171
Distinct (%)92.9%
Missing5
Missing (%)2.6%
Memory size1.6 KiB
2024-05-18T09:40:23.074227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length42
Mean length34.353261
Min length22

Characters and Unicode

Total characters6321
Distinct characters223
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique161 ?
Unique (%)87.5%

Sample

1st row서울특별시 강서구 강서로 33 (화곡동)
2nd row서울특별시 강서구 까치산로 120 (화곡동)
3rd row서울특별시 강서구 까치산로 120 (화곡동)
4th row서울특별시 강서구 강서로 205 (화곡동, 세종빌딩)
5th row서울특별시 강서구 강서로 27 (화곡동,심포니타워103호)
ValueCountFrequency (%)
서울특별시 184
 
15.0%
강서구 184
 
15.0%
1층 70
 
5.7%
화곡동 62
 
5.0%
마곡동 43
 
3.5%
강서로 42
 
3.4%
등촌동 26
 
2.1%
양천로 25
 
2.0%
내발산동 18
 
1.5%
공항대로 17
 
1.4%
Other values (331) 558
45.4%
2024-05-18T09:40:24.340218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1045
 
16.5%
435
 
6.9%
1 310
 
4.9%
249
 
3.9%
203
 
3.2%
190
 
3.0%
, 190
 
3.0%
189
 
3.0%
187
 
3.0%
) 187
 
3.0%
Other values (213) 3136
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3670
58.1%
Space Separator 1045
 
16.5%
Decimal Number 999
 
15.8%
Other Punctuation 190
 
3.0%
Close Punctuation 187
 
3.0%
Open Punctuation 187
 
3.0%
Dash Punctuation 24
 
0.4%
Uppercase Letter 9
 
0.1%
Math Symbol 4
 
0.1%
Letter Number 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
435
 
11.9%
249
 
6.8%
203
 
5.5%
190
 
5.2%
189
 
5.1%
187
 
5.1%
184
 
5.0%
184
 
5.0%
184
 
5.0%
172
 
4.7%
Other values (185) 1493
40.7%
Decimal Number
ValueCountFrequency (%)
1 310
31.0%
0 115
 
11.5%
2 111
 
11.1%
3 87
 
8.7%
4 77
 
7.7%
6 77
 
7.7%
5 73
 
7.3%
7 60
 
6.0%
9 54
 
5.4%
8 35
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
22.2%
A 2
22.2%
L 1
11.1%
R 1
11.1%
C 1
11.1%
J 1
11.1%
S 1
11.1%
Letter Number
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%
Lowercase Letter
ValueCountFrequency (%)
o 1
50.0%
i 1
50.0%
Space Separator
ValueCountFrequency (%)
1045
100.0%
Other Punctuation
ValueCountFrequency (%)
, 190
100.0%
Close Punctuation
ValueCountFrequency (%)
) 187
100.0%
Open Punctuation
ValueCountFrequency (%)
( 187
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3670
58.1%
Common 2636
41.7%
Latin 15
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
435
 
11.9%
249
 
6.8%
203
 
5.5%
190
 
5.2%
189
 
5.1%
187
 
5.1%
184
 
5.0%
184
 
5.0%
184
 
5.0%
172
 
4.7%
Other values (185) 1493
40.7%
Common
ValueCountFrequency (%)
1045
39.6%
1 310
 
11.8%
, 190
 
7.2%
) 187
 
7.1%
( 187
 
7.1%
0 115
 
4.4%
2 111
 
4.2%
3 87
 
3.3%
4 77
 
2.9%
6 77
 
2.9%
Other values (6) 250
 
9.5%
Latin
ValueCountFrequency (%)
B 2
13.3%
A 2
13.3%
2
13.3%
o 1
6.7%
L 1
6.7%
1
6.7%
1
6.7%
i 1
6.7%
R 1
6.7%
C 1
6.7%
Other values (2) 2
13.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3670
58.1%
ASCII 2647
41.9%
Number Forms 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1045
39.5%
1 310
 
11.7%
, 190
 
7.2%
) 187
 
7.1%
( 187
 
7.1%
0 115
 
4.3%
2 111
 
4.2%
3 87
 
3.3%
4 77
 
2.9%
6 77
 
2.9%
Other values (15) 261
 
9.9%
Hangul
ValueCountFrequency (%)
435
 
11.9%
249
 
6.8%
203
 
5.5%
190
 
5.2%
189
 
5.1%
187
 
5.1%
184
 
5.0%
184
 
5.0%
184
 
5.0%
172
 
4.7%
Other values (185) 1493
40.7%
Number Forms
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct82
Distinct (%)45.6%
Missing9
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean7680.1111
Minimum7510
Maximum7811
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-18T09:40:24.846390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7510
5-th percentile7531.95
Q17595
median7698
Q37771
95-th percentile7806
Maximum7811
Range301
Interquartile range (IQR)176

Descriptive statistics

Standard deviation93.945776
Coefficient of variation (CV)0.012232346
Kurtosis-1.3567628
Mean7680.1111
Median Absolute Deviation (MAD)90
Skewness-0.16619212
Sum1382420
Variance8825.8088
MonotonicityNot monotonic
2024-05-18T09:40:25.391956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7639 9
 
4.8%
7788 9
 
4.8%
7803 7
 
3.7%
7807 7
 
3.7%
7698 6
 
3.2%
7727 6
 
3.2%
7694 5
 
2.6%
7805 5
 
2.6%
7632 5
 
2.6%
7599 4
 
2.1%
Other values (72) 117
61.9%
(Missing) 9
 
4.8%
ValueCountFrequency (%)
7510 1
0.5%
7516 1
0.5%
7517 1
0.5%
7524 1
0.5%
7526 2
1.1%
7527 1
0.5%
7528 1
0.5%
7531 1
0.5%
7532 2
1.1%
7540 2
1.1%
ValueCountFrequency (%)
7811 1
 
0.5%
7807 7
3.7%
7806 2
 
1.1%
7805 5
2.6%
7803 7
3.7%
7801 2
 
1.1%
7794 1
 
0.5%
7791 2
 
1.1%
7788 9
4.8%
7786 3
 
1.6%
Distinct162
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-18T09:40:26.006623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length5.5079365
Min length3

Characters and Unicode

Total characters1041
Distinct characters175
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique142 ?
Unique (%)75.1%

Sample

1st row건강사랑약국
2nd row정다운약국
3rd row화곡태평양약국
4th row햇살약국
5th row온누리성원약국
ValueCountFrequency (%)
힐스테이트솔약국 3
 
1.5%
선약국 3
 
1.5%
화곡태평양약국 3
 
1.5%
햇살약국 3
 
1.5%
목동메디약국 3
 
1.5%
새미래약국 3
 
1.5%
산소망약국 3
 
1.5%
나라약국 2
 
1.0%
나나약국 2
 
1.0%
밝은온누리약국 2
 
1.0%
Other values (158) 168
86.2%
2024-05-18T09:40:27.531891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
190
 
18.3%
190
 
18.3%
22
 
2.1%
20
 
1.9%
20
 
1.9%
17
 
1.6%
15
 
1.4%
15
 
1.4%
15
 
1.4%
15
 
1.4%
Other values (165) 522
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1012
97.2%
Decimal Number 22
 
2.1%
Space Separator 6
 
0.6%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
190
 
18.8%
190
 
18.8%
22
 
2.2%
20
 
2.0%
20
 
2.0%
17
 
1.7%
15
 
1.5%
15
 
1.5%
15
 
1.5%
15
 
1.5%
Other values (157) 493
48.7%
Decimal Number
ValueCountFrequency (%)
6 6
27.3%
3 6
27.3%
5 5
22.7%
2 2
 
9.1%
1 2
 
9.1%
9 1
 
4.5%
Space Separator
ValueCountFrequency (%)
6
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1012
97.2%
Common 28
 
2.7%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
190
 
18.8%
190
 
18.8%
22
 
2.2%
20
 
2.0%
20
 
2.0%
17
 
1.7%
15
 
1.5%
15
 
1.5%
15
 
1.5%
15
 
1.5%
Other values (157) 493
48.7%
Common
ValueCountFrequency (%)
6
21.4%
6 6
21.4%
3 6
21.4%
5 5
17.9%
2 2
 
7.1%
1 2
 
7.1%
9 1
 
3.6%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1012
97.2%
ASCII 29
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
190
 
18.8%
190
 
18.8%
22
 
2.2%
20
 
2.0%
20
 
2.0%
17
 
1.7%
15
 
1.5%
15
 
1.5%
15
 
1.5%
15
 
1.5%
Other values (157) 493
48.7%
ASCII
ValueCountFrequency (%)
6
20.7%
6 6
20.7%
3 6
20.7%
5 5
17.2%
2 2
 
6.9%
1 2
 
6.9%
C 1
 
3.4%
9 1
 
3.4%

최종수정일자
Date

UNIQUE 

Distinct189
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2006-09-26 16:26:24
Maximum2024-04-26 09:47:42
2024-05-18T09:40:28.035177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:40:28.549352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
I
140 
U
49 

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 140
74.1%
U 49
 
25.9%

Length

2024-05-18T09:40:29.087700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:40:29.702353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 140
74.1%
u 49
 
25.9%
Distinct140
Distinct (%)74.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:04:00
2024-05-18T09:40:30.193160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:40:30.819639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing189
Missing (%)100.0%
Memory size1.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct129
Distinct (%)78.2%
Missing24
Missing (%)12.7%
Infinite0
Infinite (%)0.0%
Mean186055.96
Minimum183030.87
Maximum188907.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-18T09:40:31.223781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183030.87
5-th percentile183371.79
Q1185440.48
median185931.64
Q3187019.46
95-th percentile188023.32
Maximum188907.15
Range5876.2773
Interquartile range (IQR)1578.9815

Descriptive statistics

Standard deviation1313.5243
Coefficient of variation (CV)0.0070598345
Kurtosis-0.16090021
Mean186055.96
Median Absolute Deviation (MAD)637.13048
Skewness-0.197425
Sum30699233
Variance1725346
MonotonicityNot monotonic
2024-05-18T09:40:31.814013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185509.165465662 5
 
2.6%
187622.448701892 4
 
2.1%
185691.950259663 4
 
2.1%
185440.48309074 3
 
1.6%
186287.607349982 3
 
1.6%
187839.122027849 3
 
1.6%
186424.391650186 3
 
1.6%
184650.0 3
 
1.6%
186056.889654573 3
 
1.6%
186366.013413728 2
 
1.1%
Other values (119) 132
69.8%
(Missing) 24
 
12.7%
ValueCountFrequency (%)
183030.868557234 1
0.5%
183166.170737798 1
0.5%
183215.243871182 1
0.5%
183242.500497164 1
0.5%
183250.670089409 1
0.5%
183306.538535393 1
0.5%
183306.751602566 1
0.5%
183313.177180839 1
0.5%
183366.101249557 1
0.5%
183394.543338863 1
0.5%
ValueCountFrequency (%)
188907.145870979 1
0.5%
188674.333972649 1
0.5%
188647.207494149 1
0.5%
188615.453159 1
0.5%
188612.842594632 2
1.1%
188292.275479153 1
0.5%
188041.009007078 2
1.1%
187952.560027898 1
0.5%
187855.254782404 2
1.1%
187841.80382766 1
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct129
Distinct (%)78.2%
Missing24
Missing (%)12.7%
Infinite0
Infinite (%)0.0%
Mean449929.46
Minimum447580.54
Maximum452817.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-18T09:40:32.282680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447580.54
5-th percentile447750.18
Q1448934
median449982.25
Q3450914
95-th percentile451789.96
Maximum452817.47
Range5236.9247
Interquartile range (IQR)1980.0013

Descriptive statistics

Standard deviation1347.9559
Coefficient of variation (CV)0.0029959271
Kurtosis-0.9708329
Mean449929.46
Median Absolute Deviation (MAD)996.43027
Skewness-0.13579832
Sum74238361
Variance1816985
MonotonicityNot monotonic
2024-05-18T09:40:32.870319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449450.069694741 5
 
2.6%
450621.120623654 4
 
2.1%
449101.694212063 4
 
2.1%
449556.077304833 3
 
1.6%
450738.148396634 3
 
1.6%
447776.710455141 3
 
1.6%
447580.544751681 3
 
1.6%
451667.0 3
 
1.6%
448985.824293321 3
 
1.6%
447719.836723478 2
 
1.1%
Other values (119) 132
69.8%
(Missing) 24
 
12.7%
ValueCountFrequency (%)
447580.544751681 3
1.6%
447620.811425584 1
 
0.5%
447685.585859501 1
 
0.5%
447711.37981334 1
 
0.5%
447719.836723478 2
1.1%
447743.546305194 1
 
0.5%
447776.710455141 3
1.6%
447781.221333046 1
 
0.5%
447818.545613215 1
 
0.5%
447834.68871468 1
 
0.5%
ValueCountFrequency (%)
452817.469477897 1
0.5%
452402.238297341 1
0.5%
452392.862590895 1
0.5%
452339.893234091 1
0.5%
452291.24201727 1
0.5%
452208.873036934 1
0.5%
452133.277893616 1
0.5%
452077.906637611 1
0.5%
451790.699502971 1
0.5%
451787.0 2
1.1%
Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
동물약국
117 
<NA>
72 

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 117
61.9%
<NA> 72
38.1%

Length

2024-05-18T09:40:33.334595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:40:33.743998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물약국 117
61.9%
na 72
38.1%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing189
Missing (%)100.0%
Memory size1.8 KiB

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing189
Missing (%)100.0%
Memory size1.8 KiB
Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
117 
<NA>
72 

Length

Max length4
Median length1
Mean length2.1428571
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 117
61.9%
<NA> 72
38.1%

Length

2024-05-18T09:40:34.262448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:40:34.608993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 117
61.9%
na 72
38.1%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
176 
0
 
13

Length

Max length4
Median length4
Mean length3.7936508
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> 176
93.1%
0 13
 
6.9%

Length

2024-05-18T09:40:35.000295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:40:35.409846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 176
93.1%
0 13
 
6.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0315000031500000112004000120040218<NA>3폐업2폐업20040218<NA><NA><NA><NA>0.0<NA>서울특별시 강서구 화곡동 343-61번지서울특별시 강서구 강서로 33 (화곡동)7774건강사랑약국2011-10-30 13:19:42I2018-08-31 23:59:59.0<NA>186410.029197447620.811426동물약국<NA><NA>0<NA>
1315000031500000112004000220040602<NA>3폐업2폐업20070625<NA><NA><NA>2065-29980.0<NA>서울특별시 강서구 화곡동 969-12번지서울특별시 강서구 까치산로 120 (화곡동)<NA>정다운약국2008-10-16 16:54:16I2018-08-31 23:59:59.0<NA>186700.794163449584.565327동물약국<NA><NA>0<NA>
2315000031500000112004000320040602<NA>3폐업2폐업20060926<NA><NA><NA>2693-10440.0<NA>서울특별시 강서구 화곡동 1032-27 번지<NA><NA>화곡태평양약국2006-09-26 16:26:24I2018-08-31 23:59:59.0<NA><NA><NA>동물약국<NA><NA>0<NA>
3315000031500000112004000420040621<NA>3폐업2폐업20070122<NA><NA><NA>2601-16400.0<NA>서울특별시 강서구 화곡동 832-11 번지<NA><NA>햇살약국2007-01-22 14:49:10I2018-08-31 23:59:59.0<NA><NA><NA>동물약국<NA><NA>0<NA>
4315000031500000112005000120050119<NA>3폐업2폐업20120426<NA><NA><NA>2663-55470.0<NA>서울특별시 강서구 방화동 579-1 번지<NA><NA>온누리성원약국2012-04-26 11:54:00I2018-08-31 23:59:59.0<NA><NA><NA>동물약국<NA><NA>0<NA>
5315000031500000112006000120060928<NA>3폐업2폐업20100728<NA><NA><NA><NA>0.0<NA>서울특별시 강서구 화곡동 898-1 번지<NA><NA>나라약국2010-07-28 13:55:20I2018-08-31 23:59:59.0<NA><NA><NA>동물약국<NA><NA>0<NA>
6315000031500000112006000220060928<NA>3폐업2폐업20090518<NA><NA><NA>2693-10440.0<NA>서울특별시 강서구 화곡동 1032-67번지<NA><NA>화곡태평양약국2009-05-18 16:56:34I2018-08-31 23:59:59.0<NA><NA><NA>동물약국<NA><NA>0<NA>
7315000031500000112007000120070625<NA>1영업/정상0정상<NA><NA><NA><NA>2065-29980.0<NA>서울특별시 강서구 화곡동 969-12번지서울특별시 강서구 까치산로 120 (화곡동)<NA>정다운약국2007-06-25 14:45:05I2018-08-31 23:59:59.0<NA>186700.794163449584.565327동물약국<NA><NA>0<NA>
8315000031500000112009000120090519<NA>1영업/정상0정상<NA><NA><NA><NA>2693-10440.0<NA>서울특별시 강서구 화곡동서울특별시 강서구 강서로 205 (화곡동, 세종빌딩)7707화곡태평양약국2015-08-05 17:11:23I2018-08-31 23:59:59.0<NA>185580.400233449111.305358동물약국<NA><NA>0<NA>
9315000031500000112010000120100805<NA>3폐업2폐업20121123<NA><NA><NA>02-2694-922852.5<NA>서울특별시 강서구 화곡동 898-1번지 심포니타워103호서울특별시 강서구 강서로 27 (화곡동,심포니타워103호)<NA>나라약국2012-11-23 13:53:08I2018-08-31 23:59:59.0<NA>186424.39165447580.544752동물약국<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
17931500003150000011202400012024-01-04<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 630-12 강서메디칼센터서울특별시 강서구 양천로 556, 강서메디칼센터 103호 (등촌동)7550바른약국2024-01-04 08:28:13I2023-12-01 00:06:00.0<NA>187622.448702450621.120624<NA><NA><NA><NA><NA>
18031500003150000011202400022024-03-05<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 739-4 마곡헤리움1차 105~106호서울특별시 강서구 마곡서1로 115-1, 마곡헤리움1차 105~106호 (마곡동)7599마곡프라자약국2024-03-05 14:56:54I2023-12-03 00:07:00.0<NA>183901.20992451618.937363<NA><NA><NA><NA><NA>
18131500003150000011202400032024-03-20<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 343-52 도양라비앙타워 B101호서울특별시 강서구 강서로 43, 도양라비앙타워 L층 B101호 (화곡동)7774강서자연애약국2024-03-20 13:43:43I2023-12-02 22:02:00.0<NA>186366.013414447719.836723<NA><NA><NA><NA><NA>
18231500003150000011202400042024-03-22<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 776-2 마곡센트럴대방디엠시티오피스텔 111호서울특별시 강서구 양천로 344, 마곡센트럴대방디엠시티오피스텔 111호 (마곡동)7791숨약국2024-03-22 09:03:45I2023-12-02 22:04:00.0<NA>185827.239418451790.699503<NA><NA><NA><NA><NA>
18331500003150000011202400052024-04-01<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 340-54서울특별시 강서구 강서로16길 1, 1층 (화곡동)7756까치햇살약국2024-04-01 08:58:35I2023-12-04 00:03:00.0<NA>186361.705759447834.688715<NA><NA><NA><NA><NA>
18431500003150000011202400062024-04-02<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 강서구 방화동 483-5 대승프라자 105호서울특별시 강서구 금낭화로 91-2, 대승프라자 105호 (방화동)7516하나메디칼약국2024-04-02 13:55:24I2023-12-04 00:04:00.0<NA>183242.500497452392.862591<NA><NA><NA><NA><NA>
18531500003150000011202400072024-04-19<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 1076-14 힐탑빌딩 101호서울특별시 강서구 강서로 154, 힐탑빌딩 101호 (화곡동)7727샛별약국2024-04-19 14:03:48I2023-12-03 22:01:00.0<NA>185925.073222448730.220138<NA><NA><NA><NA><NA>
18631500003150000011202400082024-04-23<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 98-60 1층서울특별시 강서구 까치산로4길 3, 1층 (화곡동)7722강서메디칼약국2024-04-23 13:01:10I2023-12-03 22:05:00.0<NA>186156.556156448925.225988<NA><NA><NA><NA><NA>
18731500003150000011202400092024-04-24<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 760-1 힐스테이트에코마곡나루역라마다앙코르서울 에이120호서울특별시 강서구 마곡중앙로 161-11, 힐스테이트에코마곡나루역라마다앙코르서울 1층 에이120호 (마곡동)7788마곡솔약국2024-04-24 11:24:32I2023-12-03 22:07:00.0<NA>184622.975679451753.272698<NA><NA><NA><NA><NA>
18831500003150000011202400102024-04-26<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 75-3 1층 101호서울특별시 강서구 양천로 490, 1층 101호 (등촌동)7575가양메디약국2024-04-26 09:47:42I2023-12-03 22:08:00.0<NA>187064.11372450982.15959<NA><NA><NA><NA><NA>