Overview

Dataset statistics

Number of variables27
Number of observations996
Missing cells7981
Missing cells (%)29.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory223.8 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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-16316/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (54.5%)Imbalance
영업상태명 is highly imbalanced (54.5%)Imbalance
상세영업상태코드 is highly imbalanced (54.5%)Imbalance
상세영업상태명 is highly imbalanced (54.5%)Imbalance
인허가취소일자 has 996 (100.0%) missing valuesMissing
폐업일자 has 189 (19.0%) missing valuesMissing
휴업시작일자 has 996 (100.0%) missing valuesMissing
휴업종료일자 has 996 (100.0%) missing valuesMissing
재개업일자 has 996 (100.0%) missing valuesMissing
전화번호 has 85 (8.5%) missing valuesMissing
소재지면적 has 996 (100.0%) missing valuesMissing
소재지우편번호 has 158 (15.9%) missing valuesMissing
도로명주소 has 634 (63.7%) missing valuesMissing
도로명우편번호 has 634 (63.7%) missing valuesMissing
업태구분명 has 996 (100.0%) missing valuesMissing
좌표정보(X) has 83 (8.3%) missing valuesMissing
좌표정보(Y) has 83 (8.3%) missing valuesMissing
약국영업면적 has 67 (6.7%) missing valuesMissing
지정일자 has 67 (6.7%) missing valuesMissing
약국영업면적 is highly skewed (γ1 = 27.95703231)Skewed
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
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 565 (56.7%) zerosZeros

Reproduction

Analysis started2024-05-11 06:53:26.228927
Analysis finished2024-05-11 06:53:27.578019
Duration1.35 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
3060000
996 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 996
100.0%

Length

2024-05-11T06:53:27.732430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:53:27.900508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 996
100.0%

관리번호
Text

UNIQUE 

Distinct996
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2024-05-11T06:53:28.243659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters24900
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

Unique996 ?
Unique (%)100.0%

Sample

1st rowPHMD119613060034084000001
2nd rowPHMD119613060034084000002
3rd rowPHMD119643060034084000001
4th rowPHMD119663060034084000001
5th rowPHMD119693060034084000001
ValueCountFrequency (%)
phmd119613060034084000001 1
 
0.1%
phmd120053060034084000016 1
 
0.1%
phmd120063060034084000009 1
 
0.1%
phmd120053060034084000004 1
 
0.1%
phmd120053060034084000005 1
 
0.1%
phmd120053060034084000006 1
 
0.1%
phmd120053060034084000007 1
 
0.1%
phmd120053060034084000008 1
 
0.1%
phmd120053060034084000009 1
 
0.1%
phmd120053060034084000010 1
 
0.1%
Other values (986) 986
99.0%
2024-05-11T06:53:29.236240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9371
37.6%
3 2260
 
9.1%
1 2234
 
9.0%
4 2179
 
8.8%
8 1298
 
5.2%
6 1205
 
4.8%
P 996
 
4.0%
H 996
 
4.0%
M 996
 
4.0%
D 996
 
4.0%
Other values (4) 2369
 
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20916
84.0%
Uppercase Letter 3984
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9371
44.8%
3 2260
 
10.8%
1 2234
 
10.7%
4 2179
 
10.4%
8 1298
 
6.2%
6 1205
 
5.8%
9 982
 
4.7%
2 945
 
4.5%
7 269
 
1.3%
5 173
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
P 996
25.0%
H 996
25.0%
M 996
25.0%
D 996
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20916
84.0%
Latin 3984
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9371
44.8%
3 2260
 
10.8%
1 2234
 
10.7%
4 2179
 
10.4%
8 1298
 
6.2%
6 1205
 
5.8%
9 982
 
4.7%
2 945
 
4.5%
7 269
 
1.3%
5 173
 
0.8%
Latin
ValueCountFrequency (%)
P 996
25.0%
H 996
25.0%
M 996
25.0%
D 996
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9371
37.6%
3 2260
 
9.1%
1 2234
 
9.0%
4 2179
 
8.8%
8 1298
 
5.2%
6 1205
 
4.8%
P 996
 
4.0%
H 996
 
4.0%
M 996
 
4.0%
D 996
 
4.0%
Other values (4) 2369
 
9.5%

인허가일자
Date

Distinct914
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
Minimum1961-02-13 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T06:53:29.653050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:53:30.102536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing996
Missing (%)100.0%
Memory size8.9 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
3
805 
1
189 
4
 
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 (%)
3 805
80.8%
1 189
 
19.0%
4 2
 
0.2%

Length

2024-05-11T06:53:30.456833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:53:30.764670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 805
80.8%
1 189
 
19.0%
4 2
 
0.2%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
폐업
805 
영업/정상
189 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length2
Mean length2.5933735
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 805
80.8%
영업/정상 189
 
19.0%
취소/말소/만료/정지/중지 2
 
0.2%

Length

2024-05-11T06:53:31.131268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:53:31.426448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 805
80.8%
영업/정상 189
 
19.0%
취소/말소/만료/정지/중지 2
 
0.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
3
805 
13
189 
24
 
2

Length

Max length2
Median length1
Mean length1.1917671
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 805
80.8%
13 189
 
19.0%
24 2
 
0.2%

Length

2024-05-11T06:53:31.838624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:53:32.168273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 805
80.8%
13 189
 
19.0%
24 2
 
0.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
폐업
805 
영업중
189 
직권폐업
 
2

Length

Max length4
Median length2
Mean length2.1937751
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 805
80.8%
영업중 189
 
19.0%
직권폐업 2
 
0.2%

Length

2024-05-11T06:53:32.587361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:53:32.963365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 805
80.8%
영업중 189
 
19.0%
직권폐업 2
 
0.2%

폐업일자
Date

MISSING 

Distinct746
Distinct (%)92.4%
Missing189
Missing (%)19.0%
Memory size7.9 KiB
Minimum1986-07-02 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T06:53:33.309976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:53:33.784453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing996
Missing (%)100.0%
Memory size8.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing996
Missing (%)100.0%
Memory size8.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing996
Missing (%)100.0%
Memory size8.9 KiB

전화번호
Text

MISSING 

Distinct633
Distinct (%)69.5%
Missing85
Missing (%)8.5%
Memory size7.9 KiB
2024-05-11T06:53:34.350672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.908891
Min length8

Characters and Unicode

Total characters9938
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

Unique475 ?
Unique (%)52.1%

Sample

1st row02-434-9140
2nd row02-434-2454
3rd row02-435-0519
4th row02-435-0832
5th row02-973-3992
ValueCountFrequency (%)
02-2209-4996 7
 
0.8%
02-3421-0885 7
 
0.8%
02-432-7311 6
 
0.7%
02-435-8921 6
 
0.7%
02-433-8421 6
 
0.7%
02-433-8221 5
 
0.5%
02-432-3284 5
 
0.5%
02-494-4023 5
 
0.5%
02-434-7375 5
 
0.5%
02-493-9166 4
 
0.4%
Other values (623) 855
93.9%
2024-05-11T06:53:35.679081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1715
17.3%
2 1570
15.8%
0 1389
14.0%
4 1221
12.3%
3 1056
10.6%
9 668
 
6.7%
7 521
 
5.2%
6 472
 
4.7%
8 445
 
4.5%
1 439
 
4.4%
Other values (2) 442
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8218
82.7%
Dash Punctuation 1715
 
17.3%
Math Symbol 5
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1570
19.1%
0 1389
16.9%
4 1221
14.9%
3 1056
12.8%
9 668
8.1%
7 521
 
6.3%
6 472
 
5.7%
8 445
 
5.4%
1 439
 
5.3%
5 437
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 1715
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9938
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1715
17.3%
2 1570
15.8%
0 1389
14.0%
4 1221
12.3%
3 1056
10.6%
9 668
 
6.7%
7 521
 
5.2%
6 472
 
4.7%
8 445
 
4.5%
1 439
 
4.4%
Other values (2) 442
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9938
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1715
17.3%
2 1570
15.8%
0 1389
14.0%
4 1221
12.3%
3 1056
10.6%
9 668
 
6.7%
7 521
 
5.2%
6 472
 
4.7%
8 445
 
4.5%
1 439
 
4.4%
Other values (2) 442
 
4.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing996
Missing (%)100.0%
Memory size8.9 KiB

소재지우편번호
Text

MISSING 

Distinct105
Distinct (%)12.5%
Missing158
Missing (%)15.9%
Memory size7.9 KiB
2024-05-11T06:53:36.114088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0059666
Min length6

Characters and Unicode

Total characters5033
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

Unique21 ?
Unique (%)2.5%

Sample

1st row131221
2nd row131207
3rd row131875
4th row131817
5th row131141
ValueCountFrequency (%)
131802 42
 
5.0%
131813 33
 
3.9%
131828 29
 
3.5%
131810 27
 
3.2%
131809 26
 
3.1%
131881 23
 
2.7%
131859 23
 
2.7%
131823 21
 
2.5%
131820 21
 
2.5%
131865 19
 
2.3%
Other values (95) 574
68.5%
2024-05-11T06:53:37.055590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1959
38.9%
3 1009
20.0%
8 885
17.6%
2 330
 
6.6%
0 262
 
5.2%
7 155
 
3.1%
6 152
 
3.0%
5 126
 
2.5%
9 92
 
1.8%
4 58
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5028
99.9%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1959
39.0%
3 1009
20.1%
8 885
17.6%
2 330
 
6.6%
0 262
 
5.2%
7 155
 
3.1%
6 152
 
3.0%
5 126
 
2.5%
9 92
 
1.8%
4 58
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5033
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1959
38.9%
3 1009
20.0%
8 885
17.6%
2 330
 
6.6%
0 262
 
5.2%
7 155
 
3.1%
6 152
 
3.0%
5 126
 
2.5%
9 92
 
1.8%
4 58
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5033
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1959
38.9%
3 1009
20.0%
8 885
17.6%
2 330
 
6.6%
0 262
 
5.2%
7 155
 
3.1%
6 152
 
3.0%
5 126
 
2.5%
9 92
 
1.8%
4 58
 
1.2%

지번주소
Text

Distinct739
Distinct (%)74.6%
Missing5
Missing (%)0.5%
Memory size7.9 KiB
2024-05-11T06:53:37.628336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length42
Mean length24.639758
Min length13

Characters and Unicode

Total characters24418
Distinct characters203
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

Unique595 ?
Unique (%)60.0%

Sample

1st row서울특별시 중랑구 상봉1동 390번지 1호
2nd row서울특별시 중랑구 면목7동 651번지 9호
3rd row서울특별시 중랑구 중화1동 16번지 5호
4th row서울특별시 중랑구 면목본동 90번지 50호
5th row서울특별시 중랑구 묵1동 122-126
ValueCountFrequency (%)
서울특별시 991
 
19.2%
중랑구 991
 
19.2%
1호 128
 
2.5%
망우본동 104
 
2.0%
면목동 77
 
1.5%
면목3.8동 69
 
1.3%
3호 64
 
1.2%
면목7동 60
 
1.2%
신내동 58
 
1.1%
중화2동 57
 
1.1%
Other values (681) 2570
49.7%
2024-05-11T06:53:38.721640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4184
 
17.1%
중 1101
 
4.5%
1 1073
 
4.4%
동 1010
 
4.1%
시 998
 
4.1%
구 996
 
4.1%
울 994
 
4.1%
서 994
 
4.1%
랑 992
 
4.1%
별 991
 
4.1%
Other values (193) 11085
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14771
60.5%
Decimal Number 5288
 
21.7%
Space Separator 4184
 
17.1%
Other Punctuation 79
 
0.3%
Dash Punctuation 78
 
0.3%
Uppercase Letter 16
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 1101
 
7.5%
동 1010
 
6.8%
시 998
 
6.8%
구 996
 
6.7%
울 994
 
6.7%
서 994
 
6.7%
랑 992
 
6.7%
별 991
 
6.7%
특 991
 
6.7%
지 955
 
6.5%
Other values (169) 4749
32.2%
Decimal Number
ValueCountFrequency (%)
1 1073
20.3%
2 754
14.3%
3 634
12.0%
4 507
9.6%
6 475
9.0%
5 431
8.2%
8 406
 
7.7%
7 399
 
7.5%
0 379
 
7.2%
9 230
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
A 7
43.8%
T 2
 
12.5%
P 2
 
12.5%
B 2
 
12.5%
S 1
 
6.2%
J 1
 
6.2%
E 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 69
87.3%
, 9
 
11.4%
& 1
 
1.3%
Space Separator
ValueCountFrequency (%)
4184
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14771
60.5%
Common 9631
39.4%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 1101
 
7.5%
동 1010
 
6.8%
시 998
 
6.8%
구 996
 
6.7%
울 994
 
6.7%
서 994
 
6.7%
랑 992
 
6.7%
별 991
 
6.7%
특 991
 
6.7%
지 955
 
6.5%
Other values (169) 4749
32.2%
Common
ValueCountFrequency (%)
4184
43.4%
1 1073
 
11.1%
2 754
 
7.8%
3 634
 
6.6%
4 507
 
5.3%
6 475
 
4.9%
5 431
 
4.5%
8 406
 
4.2%
7 399
 
4.1%
0 379
 
3.9%
Other values (7) 389
 
4.0%
Latin
ValueCountFrequency (%)
A 7
43.8%
T 2
 
12.5%
P 2
 
12.5%
B 2
 
12.5%
S 1
 
6.2%
J 1
 
6.2%
E 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14771
60.5%
ASCII 9647
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4184
43.4%
1 1073
 
11.1%
2 754
 
7.8%
3 634
 
6.6%
4 507
 
5.3%
6 475
 
4.9%
5 431
 
4.5%
8 406
 
4.2%
7 399
 
4.1%
0 379
 
3.9%
Other values (14) 405
 
4.2%
Hangul
ValueCountFrequency (%)
중 1101
 
7.5%
동 1010
 
6.8%
시 998
 
6.8%
구 996
 
6.7%
울 994
 
6.7%
서 994
 
6.7%
랑 992
 
6.7%
별 991
 
6.7%
특 991
 
6.7%
지 955
 
6.5%
Other values (169) 4749
32.2%

도로명주소
Text

MISSING 

Distinct327
Distinct (%)90.3%
Missing634
Missing (%)63.7%
Memory size7.9 KiB
2024-05-11T06:53:39.295079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length45
Mean length29.372928
Min length21

Characters and Unicode

Total characters10633
Distinct characters198
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

Unique300 ?
Unique (%)82.9%

Sample

1st row서울특별시 중랑구 봉우재로 194-1 (망우동)
2nd row서울특별시 중랑구 겸재로36길 42 (면목동)
3rd row서울특별시 중랑구 면목로48길 12 (면목동)
4th row서울특별시 중랑구 면목로 224 (면목동)
5th row서울특별시 중랑구 면목로 257, 전내과,소아과 (면목동)
ValueCountFrequency (%)
서울특별시 362
 
16.5%
중랑구 362
 
16.5%
면목동 119
 
5.4%
1층 113
 
5.1%
망우동 64
 
2.9%
신내동 64
 
2.9%
망우로 50
 
2.3%
동일로 46
 
2.1%
묵동 41
 
1.9%
면목로 39
 
1.8%
Other values (428) 936
42.6%
2024-05-11T06:53:40.511409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1834
 
17.2%
동 446
 
4.2%
1 427
 
4.0%
중 413
 
3.9%
랑 375
 
3.5%
시 366
 
3.4%
구 365
 
3.4%
로 365
 
3.4%
서 364
 
3.4%
울 364
 
3.4%
Other values (188) 5314
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6192
58.2%
Space Separator 1834
 
17.2%
Decimal Number 1551
 
14.6%
Close Punctuation 363
 
3.4%
Open Punctuation 363
 
3.4%
Other Punctuation 297
 
2.8%
Dash Punctuation 19
 
0.2%
Uppercase Letter 13
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 446
 
7.2%
중 413
 
6.7%
랑 375
 
6.1%
시 366
 
5.9%
구 365
 
5.9%
로 365
 
5.9%
서 364
 
5.9%
울 364
 
5.9%
특 362
 
5.8%
별 362
 
5.8%
Other values (164) 2410
38.9%
Decimal Number
ValueCountFrequency (%)
1 427
27.5%
2 178
11.5%
3 175
11.3%
0 144
 
9.3%
4 142
 
9.2%
5 119
 
7.7%
9 106
 
6.8%
7 103
 
6.6%
6 79
 
5.1%
8 78
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
C 3
23.1%
A 3
23.1%
J 2
15.4%
B 2
15.4%
S 1
 
7.7%
H 1
 
7.7%
E 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 296
99.7%
& 1
 
0.3%
Space Separator
ValueCountFrequency (%)
1834
100.0%
Close Punctuation
ValueCountFrequency (%)
) 363
100.0%
Open Punctuation
ValueCountFrequency (%)
( 363
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6192
58.2%
Common 4428
41.6%
Latin 13
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 446
 
7.2%
중 413
 
6.7%
랑 375
 
6.1%
시 366
 
5.9%
구 365
 
5.9%
로 365
 
5.9%
서 364
 
5.9%
울 364
 
5.9%
특 362
 
5.8%
별 362
 
5.8%
Other values (164) 2410
38.9%
Common
ValueCountFrequency (%)
1834
41.4%
1 427
 
9.6%
) 363
 
8.2%
( 363
 
8.2%
, 296
 
6.7%
2 178
 
4.0%
3 175
 
4.0%
0 144
 
3.3%
4 142
 
3.2%
5 119
 
2.7%
Other values (7) 387
 
8.7%
Latin
ValueCountFrequency (%)
C 3
23.1%
A 3
23.1%
J 2
15.4%
B 2
15.4%
S 1
 
7.7%
H 1
 
7.7%
E 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6192
58.2%
ASCII 4441
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1834
41.3%
1 427
 
9.6%
) 363
 
8.2%
( 363
 
8.2%
, 296
 
6.7%
2 178
 
4.0%
3 175
 
3.9%
0 144
 
3.2%
4 142
 
3.2%
5 119
 
2.7%
Other values (14) 400
 
9.0%
Hangul
ValueCountFrequency (%)
동 446
 
7.2%
중 413
 
6.7%
랑 375
 
6.1%
시 366
 
5.9%
구 365
 
5.9%
로 365
 
5.9%
서 364
 
5.9%
울 364
 
5.9%
특 362
 
5.8%
별 362
 
5.8%
Other values (164) 2410
38.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct158
Distinct (%)43.6%
Missing634
Missing (%)63.7%
Infinite0
Infinite (%)0.0%
Mean26484.141
Minimum2001
Maximum131881
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-05-11T06:53:41.023905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2001
5-th percentile2015.05
Q12067
median2148.5
Q32228
95-th percentile131865
Maximum131881
Range129880
Interquartile range (IQR)161

Descriptive statistics

Standard deviation50730.265
Coefficient of variation (CV)1.915496
Kurtosis0.57932932
Mean26484.141
Median Absolute Deviation (MAD)81.5
Skewness1.6050365
Sum9587259
Variance2.5735598 × 109
MonotonicityNot monotonic
2024-05-11T06:53:41.608181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2053 11
 
1.1%
2005 10
 
1.0%
2221 9
 
0.9%
2164 8
 
0.8%
131865 8
 
0.8%
2067 7
 
0.7%
2238 6
 
0.6%
2024 6
 
0.6%
131828 6
 
0.6%
2087 6
 
0.6%
Other values (148) 285
28.6%
(Missing) 634
63.7%
ValueCountFrequency (%)
2001 1
 
0.1%
2005 10
1.0%
2006 2
 
0.2%
2009 1
 
0.1%
2010 3
 
0.3%
2012 1
 
0.1%
2015 1
 
0.1%
2016 1
 
0.1%
2017 2
 
0.2%
2018 1
 
0.1%
ValueCountFrequency (%)
131881 5
0.5%
131877 1
 
0.1%
131874 1
 
0.1%
131873 1
 
0.1%
131872 2
 
0.2%
131870 3
 
0.3%
131868 1
 
0.1%
131867 1
 
0.1%
131865 8
0.8%
131863 2
 
0.2%

사업장명
Text

Distinct614
Distinct (%)61.6%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2024-05-11T06:53:42.422263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length4
Mean length4.7178715
Min length3

Characters and Unicode

Total characters4699
Distinct characters282
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

Unique408 ?
Unique (%)41.0%

Sample

1st row동서약국
2nd row신당약국
3rd row가야약국
4th row강우약국
5th row봉화약국
ValueCountFrequency (%)
이화약국 11
 
1.1%
다솜약국 8
 
0.8%
팜코리아약국 7
 
0.7%
열린약국 6
 
0.6%
다정약국 6
 
0.6%
수약국 6
 
0.6%
믿음약국 6
 
0.6%
늘푸른약국 6
 
0.6%
동보약국 6
 
0.6%
은행약국 6
 
0.6%
Other values (608) 939
93.2%
2024-05-11T06:53:43.894249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 1003
21.3%
약 999
21.3%
리 67
 
1.4%
새 64
 
1.4%
화 63
 
1.3%
동 61
 
1.3%
한 57
 
1.2%
우 57
 
1.2%
성 55
 
1.2%
정 53
 
1.1%
Other values (272) 2220
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4634
98.6%
Decimal Number 50
 
1.1%
Space Separator 11
 
0.2%
Lowercase Letter 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 1003
21.6%
약 999
21.6%
리 67
 
1.4%
새 64
 
1.4%
화 63
 
1.4%
동 61
 
1.3%
한 57
 
1.2%
우 57
 
1.2%
성 55
 
1.2%
정 53
 
1.1%
Other values (262) 2155
46.5%
Decimal Number
ValueCountFrequency (%)
1 16
32.0%
2 12
24.0%
5 7
14.0%
3 6
 
12.0%
6 5
 
10.0%
0 4
 
8.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4634
98.6%
Common 63
 
1.3%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 1003
21.6%
약 999
21.6%
리 67
 
1.4%
새 64
 
1.4%
화 63
 
1.4%
동 61
 
1.3%
한 57
 
1.2%
우 57
 
1.2%
성 55
 
1.2%
정 53
 
1.1%
Other values (262) 2155
46.5%
Common
ValueCountFrequency (%)
1 16
25.4%
2 12
19.0%
11
17.5%
5 7
11.1%
3 6
 
9.5%
6 5
 
7.9%
0 4
 
6.3%
, 1
 
1.6%
- 1
 
1.6%
Latin
ValueCountFrequency (%)
e 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4634
98.6%
ASCII 65
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 1003
21.6%
약 999
21.6%
리 67
 
1.4%
새 64
 
1.4%
화 63
 
1.4%
동 61
 
1.3%
한 57
 
1.2%
우 57
 
1.2%
성 55
 
1.2%
정 53
 
1.1%
Other values (262) 2155
46.5%
ASCII
ValueCountFrequency (%)
1 16
24.6%
2 12
18.5%
11
16.9%
5 7
10.8%
3 6
 
9.2%
6 5
 
7.7%
0 4
 
6.2%
e 2
 
3.1%
, 1
 
1.5%
- 1
 
1.5%

최종수정일자
Date

UNIQUE 

Distinct996
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
Minimum2008-12-30 11:32:33
Maximum2024-05-01 15:35:35
2024-05-11T06:53:44.337933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:53:44.769715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
I
856 
U
140 

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 856
85.9%
U 140
 
14.1%

Length

2024-05-11T06:53:45.238921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:53:45.622743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 856
85.9%
u 140
 
14.1%

데이터갱신일자
Date

Distinct140
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:03:00
2024-05-11T06:53:45.991260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:53:46.489537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing996
Missing (%)100.0%
Memory size8.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct486
Distinct (%)53.2%
Missing83
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean207723.17
Minimum206264.85
Maximum209931.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-05-11T06:53:47.128587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206264.85
5-th percentile206623.48
Q1207012.65
median207683.61
Q3208332.81
95-th percentile208937.17
Maximum209931.17
Range3666.3209
Interquartile range (IQR)1320.1626

Descriptive statistics

Standard deviation773.2701
Coefficient of variation (CV)0.0037225991
Kurtosis-0.90139822
Mean207723.17
Median Absolute Deviation (MAD)668.19288
Skewness0.20097598
Sum1.8965126 × 108
Variance597946.65
MonotonicityNot monotonic
2024-05-11T06:53:47.631374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208866.599899658 10
 
1.0%
206936.570187916 10
 
1.0%
208513.422573799 8
 
0.8%
208368.252033443 8
 
0.8%
208112.860200669 8
 
0.8%
208580.134246 8
 
0.8%
207600.028276016 7
 
0.7%
207834.387336827 7
 
0.7%
208295.099818379 7
 
0.7%
206714.421505467 7
 
0.7%
Other values (476) 833
83.6%
(Missing) 83
 
8.3%
ValueCountFrequency (%)
206264.85197789 1
 
0.1%
206270.61746178 1
 
0.1%
206292.997292632 1
 
0.1%
206298.185444435 4
0.4%
206316.270834781 1
 
0.1%
206326.572772794 1
 
0.1%
206415.253495652 2
0.2%
206419.071508713 1
 
0.1%
206466.869284026 1
 
0.1%
206474.047423329 2
0.2%
ValueCountFrequency (%)
209931.172836 1
 
0.1%
209521.169706304 2
 
0.2%
209475.230649494 2
 
0.2%
209474.519086574 6
0.6%
209462.416731172 1
 
0.1%
209455.150864288 2
 
0.2%
209446.943980392 1
 
0.1%
209414.215383722 1
 
0.1%
209399.93927584 1
 
0.1%
209355.0 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct486
Distinct (%)53.2%
Missing83
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean454791.37
Minimum452131.29
Maximum457471
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-05-11T06:53:48.170871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452131.29
5-th percentile452919.77
Q1453893.27
median454841.53
Q3455529.14
95-th percentile456898.13
Maximum457471
Range5339.7105
Interquartile range (IQR)1635.8734

Descriptive statistics

Standard deviation1209.531
Coefficient of variation (CV)0.0026595294
Kurtosis-0.6819636
Mean454791.37
Median Absolute Deviation (MAD)816.23281
Skewness0.068821529
Sum4.1522452 × 108
Variance1462965.3
MonotonicityNot monotonic
2024-05-11T06:53:48.617715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
455147.312397195 10
 
1.0%
455280.600452321 10
 
1.0%
456882.19262283 8
 
0.8%
456040.864473831 8
 
0.8%
457113.638411288 8
 
0.8%
457180.637915 8
 
0.8%
453544.668417196 7
 
0.7%
454817.839704855 7
 
0.7%
456014.999180519 7
 
0.7%
455858.699466676 7
 
0.7%
Other values (476) 833
83.6%
(Missing) 83
 
8.3%
ValueCountFrequency (%)
452131.289461027 1
 
0.1%
452183.021315884 1
 
0.1%
452234.084252313 1
 
0.1%
452239.160908325 3
0.3%
452296.055921315 1
 
0.1%
452454.938575965 6
0.6%
452461.815582664 1
 
0.1%
452544.850851529 3
0.3%
452576.27690408 1
 
0.1%
452612.838793228 1
 
0.1%
ValueCountFrequency (%)
457471.0 1
 
0.1%
457446.479605 1
 
0.1%
457438.909754748 1
 
0.1%
457248.411557164 1
 
0.1%
457184.193839874 1
 
0.1%
457183.637796144 1
 
0.1%
457180.637915 8
0.8%
457174.958326298 3
 
0.3%
457125.953319556 2
 
0.2%
457122.700436003 3
 
0.3%

약국영업면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct267
Distinct (%)28.7%
Missing67
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean24.332562
Minimum0
Maximum4166
Zeros565
Zeros (%)56.7%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-05-11T06:53:49.266810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q331.57
95-th percentile86.184
Maximum4166
Range4166
Interquartile range (IQR)31.57

Descriptive statistics

Standard deviation140.0488
Coefficient of variation (CV)5.7556127
Kurtosis826.5721
Mean24.332562
Median Absolute Deviation (MAD)0
Skewness27.957032
Sum22604.95
Variance19613.667
MonotonicityNot monotonic
2024-05-11T06:53:49.693165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 565
56.7%
51.3 6
 
0.6%
22.0 6
 
0.6%
27.0 6
 
0.6%
24.38 5
 
0.5%
48.6 4
 
0.4%
84.09 4
 
0.4%
142.14 4
 
0.4%
29.16 4
 
0.4%
132.72 3
 
0.3%
Other values (257) 322
32.3%
(Missing) 67
 
6.7%
ValueCountFrequency (%)
0.0 565
56.7%
3.88 1
 
0.1%
5.2 1
 
0.1%
5.38 1
 
0.1%
9.9 1
 
0.1%
13.84 1
 
0.1%
15.35 1
 
0.1%
16.1 1
 
0.1%
16.7 1
 
0.1%
16.81 2
 
0.2%
ValueCountFrequency (%)
4166.0 1
 
0.1%
262.67 1
 
0.1%
238.38 1
 
0.1%
159.09 1
 
0.1%
155.95 1
 
0.1%
150.38 1
 
0.1%
150.0 1
 
0.1%
142.14 4
0.4%
141.76 1
 
0.1%
138.6 1
 
0.1%

지정일자
Real number (ℝ)

MISSING 

Distinct855
Distinct (%)92.0%
Missing67
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean19982701
Minimum19610213
Maximum20210317
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-05-11T06:53:50.115525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19610213
5-th percentile19770149
Q119910131
median19990227
Q320070404
95-th percentile20170417
Maximum20210317
Range600104
Interquartile range (IQR)160273

Descriptive statistics

Standard deviation116902.41
Coefficient of variation (CV)0.0058501805
Kurtosis-0.36582032
Mean19982701
Median Absolute Deviation (MAD)80105
Skewness-0.27821116
Sum1.8563929 × 1010
Variance1.3666173 × 1010
MonotonicityNot monotonic
2024-05-11T06:53:50.668459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19910627 3
 
0.3%
20011101 3
 
0.3%
20121130 3
 
0.3%
19960423 3
 
0.3%
19910419 3
 
0.3%
19940205 2
 
0.2%
20091111 2
 
0.2%
19830211 2
 
0.2%
19940622 2
 
0.2%
19940604 2
 
0.2%
Other values (845) 904
90.8%
(Missing) 67
 
6.7%
ValueCountFrequency (%)
19610213 1
0.1%
19640213 1
0.1%
19660530 1
0.1%
19690724 1
0.1%
19700512 1
0.1%
19700811 1
0.1%
19701118 1
0.1%
19701203 1
0.1%
19710203 1
0.1%
19710624 1
0.1%
ValueCountFrequency (%)
20210317 1
0.1%
20201216 1
0.1%
20201214 1
0.1%
20201201 1
0.1%
20201118 1
0.1%
20200914 1
0.1%
20200824 1
0.1%
20200810 2
0.2%
20200304 1
0.1%
20200302 1
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)약국영업면적지정일자
03060000PHMD11961306003408400000119610213<NA>3폐업3폐업19981105<NA><NA><NA>02-434-9140<NA>131221서울특별시 중랑구 상봉1동 390번지 1호<NA><NA>동서약국2009-07-09 10:27:28I2018-08-31 23:59:59.0<NA><NA><NA>0.019610213
13060000PHMD11961306003408400000219800704<NA>3폐업3폐업20021230<NA><NA><NA>02-434-2454<NA>131207서울특별시 중랑구 면목7동 651번지 9호<NA><NA>신당약국2010-01-06 13:57:36I2018-08-31 23:59:59.0<NA>207518.303074453042.6739640.019800704
23060000PHMD11964306003408400000119640213<NA>3폐업3폐업20030103<NA><NA><NA>02-435-0519<NA>131875서울특별시 중랑구 중화1동 16번지 5호<NA><NA>가야약국2009-07-09 10:15:47I2018-08-31 23:59:59.0<NA>207227.540778455590.8038540.019640213
33060000PHMD11966306003408400000119660530<NA>3폐업3폐업19990429<NA><NA><NA>02-435-0832<NA>131817서울특별시 중랑구 면목본동 90번지 50호<NA><NA>강우약국2014-01-16 09:18:26I2018-08-31 23:59:59.0<NA>208038.285436454597.9114720.019660530
43060000PHMD11969306003408400000119690724<NA>3폐업3폐업20110816<NA><NA><NA>02-973-3992<NA>131141서울특별시 중랑구 묵1동 122-126<NA><NA>봉화약국2011-08-16 17:29:04I2018-08-31 23:59:59.0<NA><NA><NA>0.019690724
53060000PHMD11970306003408400000119700811<NA>4취소/말소/만료/정지/중지24직권폐업20180227<NA><NA><NA>02-437-7957<NA>131807서울특별시 중랑구 망우3동 517번지 14호서울특별시 중랑구 봉우재로 194-1 (망우동)2174동원약국2018-03-02 16:35:55I2018-08-31 23:59:59.0<NA>208279.522696454662.8851770.019700811
63060000PHMD11970306003408400000219701203<NA>3폐업3폐업20181115<NA><NA><NA>02-434-0607<NA>131818서울특별시 중랑구 면목본동 547번지 2호서울특별시 중랑구 겸재로36길 42 (면목동)2217동방약국2018-11-15 13:13:00U2018-11-17 02:36:06.0<NA>207509.500807453768.1319080.019701203
73060000PHMD11970306003408400000319700512<NA>3폐업3폐업20030228<NA><NA><NA>02-434-2249<NA>131825서울특별시 중랑구 면목7동 345번지 3호<NA><NA>수복약국2009-07-09 10:30:49I2018-08-31 23:59:59.0<NA>207098.067301452693.5858250.019700512
83060000PHMD11970306003408400000419701118<NA>3폐업3폐업19970610<NA><NA><NA>02-437-3740<NA>131825서울특별시 중랑구 면목7동 536번지 3호<NA><NA>장태양2009-07-09 10:34:22I2018-08-31 23:59:59.0<NA>207918.482554453119.4545920.019701118
93060000PHMD11971306003408400000119710823<NA>3폐업3폐업20221115<NA><NA><NA>02-436-3122<NA>131813서울특별시 중랑구 면목3.8동 461번지 1호서울특별시 중랑구 면목로48길 12 (면목동)2213백십자약국2022-11-15 15:00:43U2021-10-31 23:07:00.0<NA>207823.387282453317.239724<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)약국영업면적지정일자
9863060000PHMD1202330600340840000092023-11-16<NA>1영업/정상13영업중<NA><NA><NA><NA>02-973-2225<NA><NA>서울특별시 중랑구 묵동 174-4 구산빌딩서울특별시 중랑구 공릉로2길 7, 구산빌딩 (묵동)2034혜령약국2024-04-03 15:04:00U2023-12-04 00:05:00.0<NA>206859.215035456654.831186<NA><NA>
9873060000PHMD1202330600340840000102023-12-07<NA>1영업/정상13영업중<NA><NA><NA><NA>02-491-0388<NA><NA>서울특별시 중랑구 면목동 178-52서울특별시 중랑구 겸재로9길 53 (면목동)2134가까운약국2023-12-07 17:44:14I2022-11-02 00:09:00.0<NA>206831.161965454060.21325<NA><NA>
9883060000PHMD1202330600340840000112023-12-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6958-6918<NA><NA>서울특별시 중랑구 면목동 572-17서울특별시 중랑구 사가정로49길 48 (면목동)2221면목녹색약국2024-05-01 15:35:35U2023-12-05 00:03:00.0<NA>207608.341859453421.853882<NA><NA>
9893060000PHMD1202430600340840000012024-01-03<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2209-1999<NA><NA>서울특별시 중랑구 망우동 618-3서울특별시 중랑구 양원역로10길 25 (망우동)2057양원온누리약국2024-01-19 13:07:07U2023-11-30 22:01:00.0<NA>209399.939276456069.290801<NA><NA>
9903060000PHMD1202430600340840000022024-01-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 상봉동 91-4 상봉역 유보라 퍼스트리브&포스퀘어서울특별시 중랑구 망우로 322, 114호 (상봉동, 상봉역 유보라 퍼스트리브&포스퀘어)2149상봉보람약국2024-01-19 14:27:20I2023-11-30 22:01:00.0<NA>207734.217753454934.006785<NA><NA>
9913060000PHMD1202430600340840000032024-01-24<NA>1영업/정상13영업중<NA><NA><NA><NA>02-496-9503<NA><NA>서울특별시 중랑구 망우동 470-11 기성빌딩서울특별시 중랑구 망우로 412, 기성빌딩 1층 (망우동)2164우림청솔약국2024-01-29 15:23:21U2023-11-30 21:01:00.0<NA>208574.566607455201.404792<NA><NA>
9923060000PHMD1202430600340840000042024-02-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우동 584 신내역 프라디움 더 테라스서울특별시 중랑구 용마산로 670, A234호 (망우동, 신내역 프라디움 더 테라스)2057솔약국2024-02-26 16:01:08I2023-12-01 22:08:00.0<NA>208947.072331456501.73508<NA><NA>
9933060000PHMD1202430600340840000052024-03-07<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6958-8909<NA><NA>서울특별시 중랑구 망우동 584 신내역 프라디움 더 테라스 B동 219호서울특별시 중랑구 용마산로 670, B동 219호 (망우동, 신내역 프라디움 더 테라스)2057365시티약국2024-03-07 16:15:22I2023-12-03 00:09:00.0<NA>208947.072331456501.73508<NA><NA>
9943060000PHMD1202430600340840000062024-03-11<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3421-3040<NA><NA>서울특별시 중랑구 신내동 565-2 영춘빌딩서울특별시 중랑구 신내로14길 9, 영춘빌딩 1층 (신내동)2067내내약국2024-03-11 16:06:26I2023-12-02 23:03:00.0<NA>208398.804301455936.694558<NA><NA>
9953060000PHMD1202430600340840000072024-04-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-491-8678<NA><NA>서울특별시 중랑구 망우동 564-5 삼부서울특별시 중랑구 상봉로 134, 101호 (망우동, 삼부)2163상봉도담약국2024-04-30 15:59:38I2023-12-05 00:02:00.0<NA>208172.099134455087.738002<NA><NA>