Overview

Dataset statistics

Number of variables27
Number of observations1431
Missing cells14188
Missing cells (%)36.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory321.5 KiB
Average record size in memory230.1 B

Variable types

Categorical6
Text6
DateTime4
Unsupported6
Numeric5

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),약국영업면적,지정일자
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-16333/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 1431 (100.0%) missing valuesMissing
폐업일자 has 945 (66.0%) missing valuesMissing
휴업시작일자 has 1431 (100.0%) missing valuesMissing
휴업종료일자 has 1431 (100.0%) missing valuesMissing
재개업일자 has 1431 (100.0%) missing valuesMissing
전화번호 has 590 (41.2%) missing valuesMissing
소재지면적 has 1431 (100.0%) missing valuesMissing
소재지우편번호 has 1046 (73.1%) missing valuesMissing
지번주소 has 23 (1.6%) missing valuesMissing
도로명주소 has 635 (44.4%) missing valuesMissing
도로명우편번호 has 674 (47.1%) missing valuesMissing
업태구분명 has 1431 (100.0%) missing valuesMissing
좌표정보(X) has 644 (45.0%) missing valuesMissing
좌표정보(Y) has 644 (45.0%) missing valuesMissing
약국영업면적 has 201 (14.0%) missing valuesMissing
지정일자 has 200 (14.0%) missing valuesMissing
관리번호 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
소재지면적 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
약국영업면적 has 550 (38.4%) zerosZeros

Reproduction

Analysis started2024-05-11 05:25:53.898666
Analysis finished2024-05-11 05:25:55.622708
Duration1.72 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
3230000
1431 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 1431
100.0%

Length

2024-05-11T14:25:55.763303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:56.036910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 1431
100.0%

관리번호
Text

UNIQUE 

Distinct1431
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2024-05-11T14:25:56.361331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters35775
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1431 ?
Unique (%)100.0%

Sample

1st rowPHMD119703230034084000001
2nd rowPHMD119723230034084000001
3rd rowPHMD119723230034084000002
4th rowPHMD119733230034084000001
5th rowPHMD119743230034084000001
ValueCountFrequency (%)
phmd119703230034084000001 1
 
0.1%
phmd120093230034084000039 1
 
0.1%
phmd120103230034084000040 1
 
0.1%
phmd120103230034084000039 1
 
0.1%
phmd120103230034084000038 1
 
0.1%
phmd120103230034084000037 1
 
0.1%
phmd120103230034084000036 1
 
0.1%
phmd120103230034084000035 1
 
0.1%
phmd120103230034084000034 1
 
0.1%
phmd120103230034084000033 1
 
0.1%
Other values (1421) 1421
99.3%
2024-05-11T14:25:56.968203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12152
34.0%
3 4776
 
13.4%
4 3265
 
9.1%
2 3070
 
8.6%
1 2973
 
8.3%
8 1959
 
5.5%
P 1431
 
4.0%
H 1431
 
4.0%
M 1431
 
4.0%
D 1431
 
4.0%
Other values (4) 1856
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30051
84.0%
Uppercase Letter 5724
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12152
40.4%
3 4776
 
15.9%
4 3265
 
10.9%
2 3070
 
10.2%
1 2973
 
9.9%
8 1959
 
6.5%
9 949
 
3.2%
7 336
 
1.1%
5 296
 
1.0%
6 275
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 1431
25.0%
H 1431
25.0%
M 1431
25.0%
D 1431
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30051
84.0%
Latin 5724
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12152
40.4%
3 4776
 
15.9%
4 3265
 
10.9%
2 3070
 
10.2%
1 2973
 
9.9%
8 1959
 
6.5%
9 949
 
3.2%
7 336
 
1.1%
5 296
 
1.0%
6 275
 
0.9%
Latin
ValueCountFrequency (%)
P 1431
25.0%
H 1431
25.0%
M 1431
25.0%
D 1431
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 35775
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12152
34.0%
3 4776
 
13.4%
4 3265
 
9.1%
2 3070
 
8.6%
1 2973
 
8.3%
8 1959
 
5.5%
P 1431
 
4.0%
H 1431
 
4.0%
M 1431
 
4.0%
D 1431
 
4.0%
Other values (4) 1856
 
5.2%

인허가일자
Date

Distinct1291
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
Minimum1970-04-06 00:00:00
Maximum2024-04-19 00:00:00
2024-05-11T14:25:57.227649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:25:57.883710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1431
Missing (%)100.0%
Memory size12.7 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
3
1034 
1
395 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1034
72.3%
1 395
 
27.6%
4 2
 
0.1%

Length

2024-05-11T14:25:58.147341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:58.354439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1034
72.3%
1 395
 
27.6%
4 2
 
0.1%

영업상태명
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
폐업
1034 
영업/정상
395 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length2
Mean length2.8448637
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1034
72.3%
영업/정상 395
 
27.6%
취소/말소/만료/정지/중지 2
 
0.1%

Length

2024-05-11T14:25:58.573479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:58.786054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1034
72.3%
영업/정상 395
 
27.6%
취소/말소/만료/정지/중지 2
 
0.1%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
3
1034 
13
395 
24
 
2

Length

Max length2
Median length1
Mean length1.2774284
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 1034
72.3%
13 395
 
27.6%
24 2
 
0.1%

Length

2024-05-11T14:25:58.964756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:59.112040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1034
72.3%
13 395
 
27.6%
24 2
 
0.1%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
폐업
1034 
영업중
395 
직권폐업
 
2

Length

Max length4
Median length2
Mean length2.278826
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1034
72.3%
영업중 395
 
27.6%
직권폐업 2
 
0.1%

Length

2024-05-11T14:25:59.323613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:59.483608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1034
72.3%
영업중 395
 
27.6%
직권폐업 2
 
0.1%

폐업일자
Date

MISSING 

Distinct435
Distinct (%)89.5%
Missing945
Missing (%)66.0%
Memory size11.3 KiB
Minimum2008-06-23 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T14:25:59.636105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:25:59.800260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1431
Missing (%)100.0%
Memory size12.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1431
Missing (%)100.0%
Memory size12.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1431
Missing (%)100.0%
Memory size12.7 KiB

전화번호
Text

MISSING 

Distinct697
Distinct (%)82.9%
Missing590
Missing (%)41.2%
Memory size11.3 KiB
2024-05-11T14:26:00.229613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length11
Mean length10.623068
Min length7

Characters and Unicode

Total characters8934
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique579 ?
Unique (%)68.8%

Sample

1st row02-400-0148
2nd row02-400-0212
3rd row02-400-2636
4th row02-418-5843
5th row02-418-3852
ValueCountFrequency (%)
414-1566 4
 
0.5%
02-422-7254 4
 
0.5%
02-416-9975 4
 
0.5%
421-1010 4
 
0.5%
02-412-4962 4
 
0.5%
449-7478 3
 
0.4%
02-421-1010 3
 
0.4%
402-3255 3
 
0.4%
02-448-4411 3
 
0.4%
02-402-9211 3
 
0.4%
Other values (687) 806
95.8%
2024-05-11T14:26:00.918729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1512
16.9%
0 1429
16.0%
2 1382
15.5%
4 1147
12.8%
1 742
8.3%
3 552
 
6.2%
7 523
 
5.9%
8 474
 
5.3%
5 441
 
4.9%
9 376
 
4.2%
Other values (4) 356
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7415
83.0%
Dash Punctuation 1512
 
16.9%
Close Punctuation 3
 
< 0.1%
Math Symbol 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1429
19.3%
2 1382
18.6%
4 1147
15.5%
1 742
10.0%
3 552
 
7.4%
7 523
 
7.1%
8 474
 
6.4%
5 441
 
5.9%
9 376
 
5.1%
6 349
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 1512
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8934
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1512
16.9%
0 1429
16.0%
2 1382
15.5%
4 1147
12.8%
1 742
8.3%
3 552
 
6.2%
7 523
 
5.9%
8 474
 
5.3%
5 441
 
4.9%
9 376
 
4.2%
Other values (4) 356
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8934
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1512
16.9%
0 1429
16.0%
2 1382
15.5%
4 1147
12.8%
1 742
8.3%
3 552
 
6.2%
7 523
 
5.9%
8 474
 
5.3%
5 441
 
4.9%
9 376
 
4.2%
Other values (4) 356
 
4.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1431
Missing (%)100.0%
Memory size12.7 KiB

소재지우편번호
Text

MISSING 

Distinct147
Distinct (%)38.2%
Missing1046
Missing (%)73.1%
Memory size11.3 KiB
2024-05-11T14:26:01.377839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0909091
Min length6

Characters and Unicode

Total characters2345
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)20.3%

Sample

1st row138814
2nd row138819
3rd row138916
4th row138837
5th row138798
ValueCountFrequency (%)
138240 12
 
3.1%
138220 10
 
2.6%
138861 9
 
2.3%
138878 9
 
2.3%
138930 8
 
2.1%
138847 8
 
2.1%
138850 8
 
2.1%
138835 7
 
1.8%
138838 7
 
1.8%
138810 7
 
1.8%
Other values (137) 300
77.9%
2024-05-11T14:26:02.037302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 672
28.7%
1 514
21.9%
3 462
19.7%
0 134
 
5.7%
2 128
 
5.5%
7 101
 
4.3%
4 91
 
3.9%
9 90
 
3.8%
6 58
 
2.5%
5 58
 
2.5%
Other values (2) 37
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2308
98.4%
Dash Punctuation 35
 
1.5%
Space Separator 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 672
29.1%
1 514
22.3%
3 462
20.0%
0 134
 
5.8%
2 128
 
5.5%
7 101
 
4.4%
4 91
 
3.9%
9 90
 
3.9%
6 58
 
2.5%
5 58
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2345
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 672
28.7%
1 514
21.9%
3 462
19.7%
0 134
 
5.7%
2 128
 
5.5%
7 101
 
4.3%
4 91
 
3.9%
9 90
 
3.8%
6 58
 
2.5%
5 58
 
2.5%
Other values (2) 37
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2345
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 672
28.7%
1 514
21.9%
3 462
19.7%
0 134
 
5.7%
2 128
 
5.5%
7 101
 
4.3%
4 91
 
3.9%
9 90
 
3.8%
6 58
 
2.5%
5 58
 
2.5%
Other values (2) 37
 
1.6%

지번주소
Text

MISSING 

Distinct1239
Distinct (%)88.0%
Missing23
Missing (%)1.6%
Memory size11.3 KiB
2024-05-11T14:26:02.503905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42
Mean length25.184659
Min length3

Characters and Unicode

Total characters35460
Distinct characters282
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1102 ?
Unique (%)78.3%

Sample

1st row서울특별시 송파구 마천동 182번지 4호 윤호약국
2nd row서울특별시 송파구 풍납동 220번지8
3rd row서울특별시 송파구 거여동 184번지 12호
4th row서울특별시 송파구 잠실본동 214번지15
5th row서울특별시 송파구 마천2동 40번지6
ValueCountFrequency (%)
서울특별시 1407
 
18.9%
송파구 1407
 
18.9%
잠실동 176
 
2.4%
1층 171
 
2.3%
가락동 138
 
1.8%
신천동 122
 
1.6%
풍납동 117
 
1.6%
방이동 100
 
1.3%
석촌동 97
 
1.3%
문정동 86
 
1.2%
Other values (1338) 3640
48.8%
2024-05-11T14:26:03.266339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6082
 
17.2%
1 1875
 
5.3%
파 1617
 
4.6%
송 1524
 
4.3%
동 1514
 
4.3%
시 1447
 
4.1%
구 1413
 
4.0%
서 1407
 
4.0%
특 1407
 
4.0%
별 1407
 
4.0%
Other values (272) 15767
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22295
62.9%
Decimal Number 6695
 
18.9%
Space Separator 6082
 
17.2%
Uppercase Letter 148
 
0.4%
Dash Punctuation 100
 
0.3%
Other Punctuation 51
 
0.1%
Close Punctuation 43
 
0.1%
Open Punctuation 43
 
0.1%
Lowercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 1617
 
7.3%
송 1524
 
6.8%
동 1514
 
6.8%
시 1447
 
6.5%
구 1413
 
6.3%
서 1407
 
6.3%
특 1407
 
6.3%
별 1407
 
6.3%
울 1407
 
6.3%
지 1297
 
5.8%
Other values (232) 7855
35.2%
Uppercase Letter
ValueCountFrequency (%)
B 50
33.8%
A 49
33.1%
T 6
 
4.1%
I 5
 
3.4%
C 5
 
3.4%
N 3
 
2.0%
G 3
 
2.0%
K 3
 
2.0%
S 3
 
2.0%
E 3
 
2.0%
Other values (11) 18
 
12.2%
Decimal Number
ValueCountFrequency (%)
1 1875
28.0%
2 951
14.2%
0 589
 
8.8%
3 573
 
8.6%
4 560
 
8.4%
7 478
 
7.1%
5 433
 
6.5%
8 426
 
6.4%
9 423
 
6.3%
6 387
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 50
98.0%
. 1
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
b 1
50.0%
Space Separator
ValueCountFrequency (%)
6082
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22295
62.9%
Common 13015
36.7%
Latin 150
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 1617
 
7.3%
송 1524
 
6.8%
동 1514
 
6.8%
시 1447
 
6.5%
구 1413
 
6.3%
서 1407
 
6.3%
특 1407
 
6.3%
별 1407
 
6.3%
울 1407
 
6.3%
지 1297
 
5.8%
Other values (232) 7855
35.2%
Latin
ValueCountFrequency (%)
B 50
33.3%
A 49
32.7%
T 6
 
4.0%
I 5
 
3.3%
C 5
 
3.3%
N 3
 
2.0%
G 3
 
2.0%
K 3
 
2.0%
S 3
 
2.0%
E 3
 
2.0%
Other values (13) 20
 
13.3%
Common
ValueCountFrequency (%)
6082
46.7%
1 1875
 
14.4%
2 951
 
7.3%
0 589
 
4.5%
3 573
 
4.4%
4 560
 
4.3%
7 478
 
3.7%
5 433
 
3.3%
8 426
 
3.3%
9 423
 
3.3%
Other values (7) 625
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22295
62.9%
ASCII 13165
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6082
46.2%
1 1875
 
14.2%
2 951
 
7.2%
0 589
 
4.5%
3 573
 
4.4%
4 560
 
4.3%
7 478
 
3.6%
5 433
 
3.3%
8 426
 
3.2%
9 423
 
3.2%
Other values (30) 775
 
5.9%
Hangul
ValueCountFrequency (%)
파 1617
 
7.3%
송 1524
 
6.8%
동 1514
 
6.8%
시 1447
 
6.5%
구 1413
 
6.3%
서 1407
 
6.3%
특 1407
 
6.3%
별 1407
 
6.3%
울 1407
 
6.3%
지 1297
 
5.8%
Other values (232) 7855
35.2%

도로명주소
Text

MISSING 

Distinct724
Distinct (%)91.0%
Missing635
Missing (%)44.4%
Memory size11.3 KiB
2024-05-11T14:26:03.715939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length48
Mean length33.221106
Min length22

Characters and Unicode

Total characters26444
Distinct characters279
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique665 ?
Unique (%)83.5%

Sample

1st row서울특별시 송파구 마천로 311, 윤호약국 (마천동)
2nd row서울특별시 송파구 마천로 282-1 (거여동)
3rd row서울특별시 송파구 거마로22길 49 (마천동)
4th row서울특별시 송파구 올림픽로 203 (잠실동, 중앙상가 142호)
5th row서울특별시 송파구 석촌호수로 152 (삼전동)
ValueCountFrequency (%)
서울특별시 796
 
15.2%
송파구 796
 
15.2%
1층 217
 
4.1%
잠실동 110
 
2.1%
가락동 102
 
1.9%
올림픽로 97
 
1.9%
풍납동 79
 
1.5%
방이동 79
 
1.5%
송파대로 72
 
1.4%
신천동 71
 
1.4%
Other values (911) 2819
53.8%
2024-05-11T14:26:04.364096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4448
 
16.8%
1 1191
 
4.5%
파 1049
 
4.0%
동 974
 
3.7%
송 968
 
3.7%
시 830
 
3.1%
) 805
 
3.0%
( 805
 
3.0%
서 802
 
3.0%
울 799
 
3.0%
Other values (269) 13773
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15274
57.8%
Space Separator 4448
 
16.8%
Decimal Number 4098
 
15.5%
Close Punctuation 805
 
3.0%
Open Punctuation 805
 
3.0%
Other Punctuation 767
 
2.9%
Uppercase Letter 158
 
0.6%
Dash Punctuation 81
 
0.3%
Lowercase Letter 5
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 1049
 
6.9%
동 974
 
6.4%
송 968
 
6.3%
시 830
 
5.4%
서 802
 
5.3%
울 799
 
5.2%
구 798
 
5.2%
별 796
 
5.2%
로 796
 
5.2%
특 796
 
5.2%
Other values (230) 6666
43.6%
Uppercase Letter
ValueCountFrequency (%)
A 66
41.8%
B 49
31.0%
C 8
 
5.1%
K 4
 
2.5%
F 4
 
2.5%
G 4
 
2.5%
T 3
 
1.9%
L 3
 
1.9%
S 3
 
1.9%
D 2
 
1.3%
Other values (8) 12
 
7.6%
Decimal Number
ValueCountFrequency (%)
1 1191
29.1%
2 605
14.8%
3 436
 
10.6%
0 433
 
10.6%
4 406
 
9.9%
5 307
 
7.5%
6 213
 
5.2%
7 183
 
4.5%
8 166
 
4.1%
9 158
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
n 1
20.0%
u 1
20.0%
i 1
20.0%
t 1
20.0%
e 1
20.0%
Space Separator
ValueCountFrequency (%)
4448
100.0%
Close Punctuation
ValueCountFrequency (%)
) 805
100.0%
Open Punctuation
ValueCountFrequency (%)
( 805
100.0%
Other Punctuation
ValueCountFrequency (%)
, 767
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15274
57.8%
Common 11007
41.6%
Latin 163
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 1049
 
6.9%
동 974
 
6.4%
송 968
 
6.3%
시 830
 
5.4%
서 802
 
5.3%
울 799
 
5.2%
구 798
 
5.2%
별 796
 
5.2%
로 796
 
5.2%
특 796
 
5.2%
Other values (230) 6666
43.6%
Latin
ValueCountFrequency (%)
A 66
40.5%
B 49
30.1%
C 8
 
4.9%
K 4
 
2.5%
F 4
 
2.5%
G 4
 
2.5%
T 3
 
1.8%
L 3
 
1.8%
S 3
 
1.8%
D 2
 
1.2%
Other values (13) 17
 
10.4%
Common
ValueCountFrequency (%)
4448
40.4%
1 1191
 
10.8%
) 805
 
7.3%
( 805
 
7.3%
, 767
 
7.0%
2 605
 
5.5%
3 436
 
4.0%
0 433
 
3.9%
4 406
 
3.7%
5 307
 
2.8%
Other values (6) 804
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15274
57.8%
ASCII 11170
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4448
39.8%
1 1191
 
10.7%
) 805
 
7.2%
( 805
 
7.2%
, 767
 
6.9%
2 605
 
5.4%
3 436
 
3.9%
0 433
 
3.9%
4 406
 
3.6%
5 307
 
2.7%
Other values (29) 967
 
8.7%
Hangul
ValueCountFrequency (%)
파 1049
 
6.9%
동 974
 
6.4%
송 968
 
6.3%
시 830
 
5.4%
서 802
 
5.3%
울 799
 
5.2%
구 798
 
5.2%
별 796
 
5.2%
로 796
 
5.2%
특 796
 
5.2%
Other values (230) 6666
43.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct257
Distinct (%)33.9%
Missing674
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean27989.514
Minimum5501
Maximum138934
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2024-05-11T14:26:04.689837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5501
5-th percentile5505.6
Q15557
median5685
Q35817
95-th percentile138854.2
Maximum138934
Range133433
Interquartile range (IQR)260

Descriptive statistics

Standard deviation49788.014
Coefficient of variation (CV)1.7788095
Kurtosis1.177907
Mean27989.514
Median Absolute Deviation (MAD)130
Skewness1.7817855
Sum21188062
Variance2.4788464 × 109
MonotonicityNot monotonic
2024-05-11T14:26:04.944372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5507 25
 
1.7%
5537 23
 
1.6%
5510 20
 
1.4%
5698 20
 
1.4%
5501 14
 
1.0%
5504 13
 
0.9%
5816 11
 
0.8%
5769 10
 
0.7%
5648 9
 
0.6%
5502 9
 
0.6%
Other values (247) 603
42.1%
(Missing) 674
47.1%
ValueCountFrequency (%)
5501 14
1.0%
5502 9
 
0.6%
5503 2
 
0.1%
5504 13
0.9%
5506 5
 
0.3%
5507 25
1.7%
5509 2
 
0.1%
5510 20
1.4%
5511 1
 
0.1%
5512 1
 
0.1%
ValueCountFrequency (%)
138934 1
 
0.1%
138932 1
 
0.1%
138930 1
 
0.1%
138926 1
 
0.1%
138923 2
0.1%
138916 1
 
0.1%
138915 4
0.3%
138911 2
0.1%
138908 1
 
0.1%
138885 1
 
0.1%

사업장명
Text

Distinct1093
Distinct (%)76.4%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2024-05-11T14:26:05.511578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length6.3039832
Min length3

Characters and Unicode

Total characters9021
Distinct characters352
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

Unique855 ?
Unique (%)59.7%

Sample

1st row윤호약국
2nd row건강사약국(폐)
3rd row명약국
4th row양약국(폐)
5th row부광약국(폐)
ValueCountFrequency (%)
참소망약국 6
 
0.4%
누리약국 6
 
0.4%
청프라자약국 6
 
0.4%
잠실태평양약국(폐 6
 
0.4%
중앙프라자약국(폐 5
 
0.3%
수약국(폐 5
 
0.3%
송파미소약국 5
 
0.3%
하이팜약국(폐 4
 
0.3%
사랑약국 4
 
0.3%
레이크팰리스약국 4
 
0.3%
Other values (1088) 1387
96.5%
2024-05-11T14:26:06.206954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 1440
 
16.0%
국 1432
 
15.9%
( 555
 
6.2%
) 555
 
6.2%
폐 552
 
6.1%
리 169
 
1.9%
한 125
 
1.4%
누 87
 
1.0%
온 83
 
0.9%
파 78
 
0.9%
Other values (342) 3945
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7859
87.1%
Open Punctuation 555
 
6.2%
Close Punctuation 555
 
6.2%
Decimal Number 42
 
0.5%
Space Separator 7
 
0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 1440
 
18.3%
국 1432
 
18.2%
폐 552
 
7.0%
리 169
 
2.2%
한 125
 
1.6%
누 87
 
1.1%
온 83
 
1.1%
파 78
 
1.0%
이 67
 
0.9%
새 66
 
0.8%
Other values (330) 3760
47.8%
Decimal Number
ValueCountFrequency (%)
3 12
28.6%
6 7
16.7%
5 7
16.7%
0 6
14.3%
1 5
11.9%
2 4
 
9.5%
4 1
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
M 2
66.7%
S 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 555
100.0%
Close Punctuation
ValueCountFrequency (%)
) 555
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7859
87.1%
Common 1159
 
12.8%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 1440
 
18.3%
국 1432
 
18.2%
폐 552
 
7.0%
리 169
 
2.2%
한 125
 
1.6%
누 87
 
1.1%
온 83
 
1.1%
파 78
 
1.0%
이 67
 
0.9%
새 66
 
0.8%
Other values (330) 3760
47.8%
Common
ValueCountFrequency (%)
( 555
47.9%
) 555
47.9%
3 12
 
1.0%
6 7
 
0.6%
5 7
 
0.6%
7
 
0.6%
0 6
 
0.5%
1 5
 
0.4%
2 4
 
0.3%
4 1
 
0.1%
Latin
ValueCountFrequency (%)
M 2
66.7%
S 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7859
87.1%
ASCII 1162
 
12.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 1440
 
18.3%
국 1432
 
18.2%
폐 552
 
7.0%
리 169
 
2.2%
한 125
 
1.6%
누 87
 
1.1%
온 83
 
1.1%
파 78
 
1.0%
이 67
 
0.9%
새 66
 
0.8%
Other values (330) 3760
47.8%
ASCII
ValueCountFrequency (%)
( 555
47.8%
) 555
47.8%
3 12
 
1.0%
6 7
 
0.6%
5 7
 
0.6%
7
 
0.6%
0 6
 
0.5%
1 5
 
0.4%
2 4
 
0.3%
M 2
 
0.2%
Other values (2) 2
 
0.2%

최종수정일자
Date

Distinct921
Distinct (%)64.4%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
Minimum2008-12-11 18:03:47
Maximum2024-05-09 08:57:40
2024-05-11T14:26:06.452553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:26:06.678380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
I
1117 
U
314 

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 1117
78.1%
U 314
 
21.9%

Length

2024-05-11T14:26:06.889584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:07.074185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1117
78.1%
u 314
 
21.9%

데이터갱신일자
Date

Distinct259
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T14:26:07.223339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:26:07.430548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1431
Missing (%)100.0%
Memory size12.7 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct447
Distinct (%)56.8%
Missing644
Missing (%)45.0%
Infinite0
Infinite (%)0.0%
Mean209943.89
Minimum206397.35
Maximum213662.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2024-05-11T14:26:07.653686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206397.35
5-th percentile207373.5
Q1208707.09
median209933.82
Q3211029.28
95-th percentile212955.7
Maximum213662.87
Range7265.5202
Interquartile range (IQR)2322.1864

Descriptive statistics

Standard deviation1654.5083
Coefficient of variation (CV)0.0078807166
Kurtosis-0.56393905
Mean209943.89
Median Absolute Deviation (MAD)1138.3973
Skewness0.17487292
Sum1.6522584 × 108
Variance2737397.6
MonotonicityNot monotonic
2024-05-11T14:26:07.882431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
209151.713940169 21
 
1.5%
207373.50021477 18
 
1.3%
209394.231297346 15
 
1.0%
208707.089897534 14
 
1.0%
207624.424720682 12
 
0.8%
209933.823276344 12
 
0.8%
211619.368009793 11
 
0.8%
207553.918225133 9
 
0.6%
211199.509258022 7
 
0.5%
209790.959909032 7
 
0.5%
Other values (437) 661
46.2%
(Missing) 644
45.0%
ValueCountFrequency (%)
206397.34797252 4
0.3%
206531.147433206 1
 
0.1%
206731.192156063 2
0.1%
206916.75835 1
 
0.1%
207006.591695429 1
 
0.1%
207064.876206662 1
 
0.1%
207069.724198768 1
 
0.1%
207102.395 2
0.1%
207129.464565288 1
 
0.1%
207153.675 3
0.2%
ValueCountFrequency (%)
213662.86814852 2
0.1%
213583.606265151 1
 
0.1%
213530.628767582 2
0.1%
213439.656369129 2
0.1%
213416.144394954 4
0.3%
213377.644375752 2
0.1%
213370.322739915 1
 
0.1%
213346.901613636 1
 
0.1%
213298.885703678 3
0.2%
213294.987102715 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct447
Distinct (%)56.8%
Missing644
Missing (%)45.0%
Infinite0
Infinite (%)0.0%
Mean444864.28
Minimum441590.06
Maximum448391.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2024-05-11T14:26:08.079930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441590.06
5-th percentile442259.38
Q1443928.78
median444853.14
Q3445589.72
95-th percentile447314.09
Maximum448391.8
Range6801.7348
Interquartile range (IQR)1660.9352

Descriptive statistics

Standard deviation1417.4048
Coefficient of variation (CV)0.0031861511
Kurtosis-0.038436401
Mean444864.28
Median Absolute Deviation (MAD)901.90626
Skewness0.06226127
Sum3.5010819 × 108
Variance2009036.4
MonotonicityNot monotonic
2024-05-11T14:26:08.257432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
446519.612162961 21
 
1.5%
445545.656024061 18
 
1.3%
443951.236927017 15
 
1.0%
446299.352775446 14
 
1.0%
445533.439634339 12
 
0.8%
445963.384875409 12
 
0.8%
446455.526715924 12
 
0.8%
445383.338011122 9
 
0.6%
441680.580139573 7
 
0.5%
443481.212174317 7
 
0.5%
Other values (437) 660
46.1%
(Missing) 644
45.0%
ValueCountFrequency (%)
441590.062253247 1
 
0.1%
441632.0 2
 
0.1%
441680.580139573 7
0.5%
441717.665434824 2
 
0.1%
441725.293491662 1
 
0.1%
441726.692570639 5
0.3%
441730.920486073 2
 
0.1%
441953.803802768 2
 
0.1%
442001.0 2
 
0.1%
442018.027417102 3
0.2%
ValueCountFrequency (%)
448391.797075099 1
0.1%
448364.723368836 1
0.1%
448356.357871225 1
0.1%
448354.845446291 1
0.1%
448326.797121815 2
0.1%
448311.722554126 1
0.1%
448306.430196107 2
0.1%
448275.808769884 1
0.1%
448096.979676829 1
0.1%
448086.480594405 1
0.1%

약국영업면적
Real number (ℝ)

MISSING  ZEROS 

Distinct504
Distinct (%)41.0%
Missing201
Missing (%)14.0%
Infinite0
Infinite (%)0.0%
Mean25.601813
Minimum0
Maximum395.23
Zeros550
Zeros (%)38.4%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2024-05-11T14:26:08.445138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median20.17
Q338.9
95-th percentile80.495
Maximum395.23
Range395.23
Interquartile range (IQR)38.9

Descriptive statistics

Standard deviation35.227794
Coefficient of variation (CV)1.3759883
Kurtosis18.822585
Mean25.601813
Median Absolute Deviation (MAD)20.17
Skewness3.1682792
Sum31490.23
Variance1240.9975
MonotonicityNot monotonic
2024-05-11T14:26:08.940704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 550
38.4%
42.4 7
 
0.5%
43.0 5
 
0.3%
32.55 5
 
0.3%
30.4 5
 
0.3%
21.2 5
 
0.3%
26.1 5
 
0.3%
36.58 4
 
0.3%
50.4 4
 
0.3%
32.4 4
 
0.3%
Other values (494) 636
44.4%
(Missing) 201
 
14.0%
ValueCountFrequency (%)
0.0 550
38.4%
8.25 1
 
0.1%
10.3 2
 
0.1%
10.35 1
 
0.1%
11.52 2
 
0.1%
13.0 1
 
0.1%
13.44 1
 
0.1%
13.64 1
 
0.1%
14.44 1
 
0.1%
15.5 1
 
0.1%
ValueCountFrequency (%)
395.23 1
 
0.1%
269.6 1
 
0.1%
269.0 1
 
0.1%
248.89 3
0.2%
231.0 1
 
0.1%
207.88 1
 
0.1%
165.0 1
 
0.1%
162.0 1
 
0.1%
158.05 1
 
0.1%
150.28 1
 
0.1%

지정일자
Real number (ℝ)

MISSING 

Distinct1127
Distinct (%)91.6%
Missing200
Missing (%)14.0%
Infinite0
Infinite (%)0.0%
Mean20022024
Minimum19700406
Maximum20220310
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2024-05-11T14:26:09.135083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19700406
5-th percentile19820718
Q119931118
median20040510
Q320111118
95-th percentile20181168
Maximum20220310
Range519904
Interquartile range (IQR)179999

Descriptive statistics

Standard deviation115657
Coefficient of variation (CV)0.005776489
Kurtosis-0.77008562
Mean20022024
Median Absolute Deviation (MAD)89403
Skewness-0.39963389
Sum2.4647111 × 1010
Variance1.3376541 × 1010
MonotonicityNot monotonic
2024-05-11T14:26:09.339831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070302 3
 
0.2%
20000701 3
 
0.2%
20120402 3
 
0.2%
20130401 3
 
0.2%
20070910 3
 
0.2%
19970910 3
 
0.2%
20171127 3
 
0.2%
19860917 2
 
0.1%
19890708 2
 
0.1%
19891116 2
 
0.1%
Other values (1117) 1204
84.1%
(Missing) 200
 
14.0%
ValueCountFrequency (%)
19700406 1
0.1%
19720327 1
0.1%
19720902 1
0.1%
19730410 1
0.1%
19740625 1
0.1%
19741017 1
0.1%
19741116 1
0.1%
19751031 1
0.1%
19760225 1
0.1%
19760326 1
0.1%
ValueCountFrequency (%)
20220310 1
0.1%
20220302 1
0.1%
20211203 1
0.1%
20211029 1
0.1%
20210913 1
0.1%
20210901 1
0.1%
20210730 1
0.1%
20210602 1
0.1%
20210531 1
0.1%
20210525 1
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)약국영업면적지정일자
03230000PHMD11970323003408400000119700406<NA>1영업/정상13영업중<NA><NA><NA><NA>02-400-0148<NA><NA>서울특별시 송파구 마천동 182번지 4호 윤호약국서울특별시 송파구 마천로 311, 윤호약국 (마천동)5758윤호약국2018-01-29 11:51:11I2018-08-31 23:59:59.0<NA>213227.769497443702.60921329.6119700406
13230000PHMD11972323003408400000119720327<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 풍납동 220번지8<NA><NA>건강사약국(폐)2008-12-11 18:03:47I2018-08-31 23:59:59.0<NA><NA><NA>0.019720327
23230000PHMD11972323003408400000219720902<NA>3폐업3폐업20141231<NA><NA><NA>02-400-0212<NA>138814서울특별시 송파구 거여동 184번지 12호서울특별시 송파구 마천로 282-1 (거여동)138814명약국2014-12-31 14:19:52I2018-08-31 23:59:59.0<NA>212999.466808443867.0917936.5819720902
33230000PHMD11973323003408400000119730410<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 잠실본동 214번지15<NA><NA>양약국(폐)2008-12-11 18:03:47I2018-08-31 23:59:59.0<NA><NA><NA>0.019730410
43230000PHMD11974323003408400000119740625<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 마천2동 40번지6<NA><NA>부광약국(폐)2008-12-11 18:03:47I2018-08-31 23:59:59.0<NA><NA><NA>0.019740625
53230000PHMD11974323003408400000219741017<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 마천동 308번지37<NA><NA>대하약국(폐)2008-12-11 18:03:47I2018-08-31 23:59:59.0<NA><NA><NA>0.019741017
63230000PHMD11974323003408400000319741116<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 오금동 190번지3<NA><NA>오금약국(폐)2008-12-11 18:03:47I2018-08-31 23:59:59.0<NA><NA><NA>0.019741116
73230000PHMD11975323003408400000119751031<NA>1영업/정상13영업중<NA><NA><NA><NA>02-400-2636<NA>138819서울특별시 송파구 마천2동 176번지 23호서울특별시 송파구 거마로22길 49 (마천동)5751동의삼성약국2017-01-26 13:53:10I2018-08-31 23:59:59.0<NA>213370.32274443862.56961244.519751031
83230000PHMD11976323003408400000119760225<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정1동 1 주공(아)상가 103호<NA><NA>성인약국(폐)2008-12-11 18:03:47I2018-08-31 23:59:59.0<NA><NA><NA>0.019760225
93230000PHMD11976323003408400000219760326<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 잠실동 35번지2<NA><NA>경성약국(폐)2008-12-11 18:03:47I2018-08-31 23:59:59.0<NA><NA><NA>0.019760326
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)약국영업면적지정일자
14213230000PHMD1202332300340840000122023-10-11<NA>1영업/정상13영업중<NA><NA><NA><NA>02-416-5920<NA><NA>서울특별시 송파구 방이동 22 대우유토피아오피스텔서울특별시 송파구 올림픽로 336, 대우유토피아오피스텔 지하B09호 (방이동)5542맥스약국2023-10-12 13:21:02I2022-10-30 23:04:00.0<NA>209430.450574445913.088912<NA><NA>
14223230000PHMD1202332300340840000132023-11-09<NA>1영업/정상13영업중<NA><NA><NA><NA>02-449-7843<NA><NA>서울특별시 송파구 거여동 604-4서울특별시 송파구 위례서로 234, 212호 (거여동)5790위례탑약국2023-12-04 09:54:15U2022-11-02 00:06:00.0<NA>212471.936408442601.455172<NA><NA>
14233230000PHMD1202332300340840000142023-11-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-400-6936<NA><NA>서울특별시 송파구 마천동 181 현대그린빌서울특별시 송파구 마천로 315, 1층 107,108,109,110,111호 (마천동, 현대그린빌)5758마천스타약국2023-11-27 09:35:28I2022-10-31 22:09:00.0<NA>213279.781081443674.682876<NA><NA>
14243230000PHMD1202432300340840000012024-01-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-418-5551<NA><NA>서울특별시 송파구 잠실동 40 갤러리아팰리스서울특별시 송파구 올림픽로 212, 제2층 제211호 (잠실동, 갤러리아팰리스)5553연약국2024-01-16 16:22:54U2023-11-30 23:08:00.0<NA>208233.926975445435.257648<NA><NA>
14253230000PHMD1202432300340840000022024-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-488-0425<NA><NA>서울특별시 송파구 풍납동 497 A동 101호서울특별시 송파구 올림픽로 577, A동 1층 101호 (풍납동)5520풍납제일약국2024-02-27 16:10:43I2023-12-01 22:09:00.0<NA>210637.13412447914.521145<NA><NA>
14263230000PHMD1202432300340840000032024-03-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-488-8878<NA><NA>서울특별시 송파구 풍납동 476-15서울특별시 송파구 천호대로152길 17, 1층 1호 (풍납동)5511라파약국2024-04-01 13:55:26U2023-12-04 00:03:00.0<NA>210680.326725448356.357871<NA><NA>
14273230000PHMD1202432300340840000042024-03-15<NA>1영업/정상13영업중<NA><NA><NA><NA>02-408-2001<NA><NA>서울특별시 송파구 문정동 55-6 문정역 마에스트로서울특별시 송파구 문정로 1, B108호 (문정동, 문정역 마에스트로)5806이화선약국2024-03-22 13:44:22U2023-12-02 22:04:00.0<NA>210813.51311442691.180644<NA><NA>
14283230000PHMD1202432300340840000052024-04-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-400-1993<NA><NA>서울특별시 송파구 마천동 126-4 자매빌딩서울특별시 송파구 마천로41길 5, 자매빌딩 1층 102호 (마천동)5756선약국2024-04-01 15:16:45I2023-12-04 00:03:00.0<NA>213032.020865443911.966488<NA><NA>
14293230000PHMD1202432300340840000062024-04-15<NA>3폐업3폐업2024-05-08<NA><NA><NA>02-416-7788<NA><NA>서울특별시 송파구 방이동 149-1 금복빌딩서울특별시 송파구 백제고분로 468, 금복빌딩 1층 101호 (방이동)5631포도약국2024-05-09 08:57:40U2023-12-04 23:01:00.0<NA>209978.65545445545.759645<NA><NA>
14303230000PHMD1202432300340840000072024-04-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-421-3332<NA><NA>서울특별시 송파구 삼전동 28-8서울특별시 송파구 백제고분로 198, 1층 104호 (삼전동)5581삼전우리약국2024-04-19 16:52:07I2023-12-03 22:01:00.0<NA>207761.510501444639.252711<NA><NA>