Overview

Dataset statistics

Number of variables27
Number of observations394
Missing cells3024
Missing cells (%)28.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory88.6 KiB
Average record size in memory230.3 B

Variable types

Categorical6
Text6
DateTime4
Numeric6
Unsupported5

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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-16314/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 229 (58.1%) missing valuesMissing
폐업일자 has 169 (42.9%) missing valuesMissing
휴업시작일자 has 394 (100.0%) missing valuesMissing
휴업종료일자 has 394 (100.0%) missing valuesMissing
재개업일자 has 394 (100.0%) missing valuesMissing
전화번호 has 4 (1.0%) missing valuesMissing
소재지면적 has 394 (100.0%) missing valuesMissing
소재지우편번호 has 176 (44.7%) missing valuesMissing
도로명주소 has 71 (18.0%) missing valuesMissing
도로명우편번호 has 100 (25.4%) missing valuesMissing
업태구분명 has 394 (100.0%) missing valuesMissing
좌표정보(X) has 70 (17.8%) missing valuesMissing
좌표정보(Y) has 70 (17.8%) missing valuesMissing
약국영업면적 has 82 (20.8%) missing valuesMissing
지정일자 has 81 (20.6%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
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 4 (1.0%) zerosZeros

Reproduction

Analysis started2024-04-06 11:24:25.744129
Analysis finished2024-04-06 11:24:26.547808
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
3040000
394 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 394
100.0%

Length

2024-04-06T20:24:26.668737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:24:26.841290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 394
100.0%

관리번호
Text

UNIQUE 

Distinct394
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-04-06T20:24:27.140890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters9850
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

Unique394 ?
Unique (%)100.0%

Sample

1st rowPHMD119693040033084000001
2nd rowPHMD119703040033084000001
3rd rowPHMD119703040033084000002
4th rowPHMD119713040033084000001
5th rowPHMD119723040033084000001
ValueCountFrequency (%)
phmd119693040033084000001 1
 
0.3%
phmd120153040033084000005 1
 
0.3%
phmd120153040033084000003 1
 
0.3%
phmd120153040033084000002 1
 
0.3%
phmd120153040033084000001 1
 
0.3%
phmd120143040033084000014 1
 
0.3%
phmd120143040033084000013 1
 
0.3%
phmd120143040033084000012 1
 
0.3%
phmd120143040033084000010 1
 
0.3%
phmd120143040033084000009 1
 
0.3%
Other values (384) 384
97.5%
2024-04-06T20:24:27.675949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3946
40.1%
3 1280
 
13.0%
4 860
 
8.7%
1 841
 
8.5%
8 492
 
5.0%
2 481
 
4.9%
P 394
 
4.0%
H 394
 
4.0%
M 394
 
4.0%
D 394
 
4.0%
Other values (4) 374
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8274
84.0%
Uppercase Letter 1576
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3946
47.7%
3 1280
 
15.5%
4 860
 
10.4%
1 841
 
10.2%
8 492
 
5.9%
2 481
 
5.8%
9 157
 
1.9%
7 81
 
1.0%
5 75
 
0.9%
6 61
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
P 394
25.0%
H 394
25.0%
M 394
25.0%
D 394
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8274
84.0%
Latin 1576
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3946
47.7%
3 1280
 
15.5%
4 860
 
10.4%
1 841
 
10.2%
8 492
 
5.9%
2 481
 
5.8%
9 157
 
1.9%
7 81
 
1.0%
5 75
 
0.9%
6 61
 
0.7%
Latin
ValueCountFrequency (%)
P 394
25.0%
H 394
25.0%
M 394
25.0%
D 394
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9850
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3946
40.1%
3 1280
 
13.0%
4 860
 
8.7%
1 841
 
8.5%
8 492
 
5.0%
2 481
 
4.9%
P 394
 
4.0%
H 394
 
4.0%
M 394
 
4.0%
D 394
 
4.0%
Other values (4) 374
 
3.8%

인허가일자
Date

Distinct379
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum1969-06-14 00:00:00
Maximum2024-02-13 00:00:00
2024-04-06T20:24:27.967787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:24:28.248846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct153
Distinct (%)92.7%
Missing229
Missing (%)58.1%
Infinite0
Infinite (%)0.0%
Mean20126894
Minimum20081118
Maximum20180725
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-06T20:24:28.525359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20081118
5-th percentile20083005
Q120101101
median20121121
Q320150501
95-th percentile20171087
Maximum20180725
Range99607
Interquartile range (IQR)49400

Descriptive statistics

Standard deviation28268.97
Coefficient of variation (CV)0.0014045371
Kurtosis-0.94970088
Mean20126894
Median Absolute Deviation (MAD)20294
Skewness0.25068524
Sum3.3209375 × 109
Variance7.9913467 × 108
MonotonicityNot monotonic
2024-04-06T20:24:28.801877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20081118 4
 
1.0%
20170102 3
 
0.8%
20130102 2
 
0.5%
20110502 2
 
0.5%
20120716 2
 
0.5%
20170901 2
 
0.5%
20100823 2
 
0.5%
20120917 2
 
0.5%
20140515 2
 
0.5%
20180514 1
 
0.3%
Other values (143) 143
36.3%
(Missing) 229
58.1%
ValueCountFrequency (%)
20081118 4
1.0%
20081124 1
 
0.3%
20081202 1
 
0.3%
20081208 1
 
0.3%
20081217 1
 
0.3%
20081231 1
 
0.3%
20090102 1
 
0.3%
20090128 1
 
0.3%
20090310 1
 
0.3%
20090501 1
 
0.3%
ValueCountFrequency (%)
20180725 1
0.3%
20180618 1
0.3%
20180604 1
0.3%
20180601 1
0.3%
20180514 1
0.3%
20180323 1
0.3%
20180226 1
0.3%
20180116 1
0.3%
20171129 1
0.3%
20170919 1
0.3%

영업상태코드
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
3
224 
1
169 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
3 224
56.9%
1 169
42.9%
4 1
 
0.3%

Length

2024-04-06T20:24:29.026980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:24:29.184997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 224
56.9%
1 169
42.9%
4 1
 
0.3%

영업상태명
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
폐업
224 
영업/정상
169 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.3172589
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 224
56.9%
영업/정상 169
42.9%
취소/말소/만료/정지/중지 1
 
0.3%

Length

2024-04-06T20:24:29.356075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:24:29.510356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 224
56.9%
영업/정상 169
42.9%
취소/말소/만료/정지/중지 1
 
0.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
3
224 
13
169 
24
 
1

Length

Max length2
Median length1
Mean length1.4314721
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
3 224
56.9%
13 169
42.9%
24 1
 
0.3%

Length

2024-04-06T20:24:29.678747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:24:29.836283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 224
56.9%
13 169
42.9%
24 1
 
0.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
폐업
224 
영업중
169 
직권폐업
 
1

Length

Max length4
Median length2
Mean length2.4340102
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 224
56.9%
영업중 169
42.9%
직권폐업 1
 
0.3%

Length

2024-04-06T20:24:30.042912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:24:30.210838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 224
56.9%
영업중 169
42.9%
직권폐업 1
 
0.3%

폐업일자
Date

MISSING 

Distinct215
Distinct (%)95.6%
Missing169
Missing (%)42.9%
Memory size3.2 KiB
Minimum2005-08-19 00:00:00
Maximum2024-03-10 00:00:00
2024-04-06T20:24:30.389137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:24:30.605548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing394
Missing (%)100.0%
Memory size3.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing394
Missing (%)100.0%
Memory size3.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing394
Missing (%)100.0%
Memory size3.6 KiB

전화번호
Text

MISSING 

Distinct321
Distinct (%)82.3%
Missing4
Missing (%)1.0%
Memory size3.2 KiB
2024-04-06T20:24:30.993752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.6666667
Min length8

Characters and Unicode

Total characters3770
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique259 ?
Unique (%)66.4%

Sample

1st row457-4110
2nd row467-5452
3rd row461-1155
4th row446-3056
5th row457-5680
ValueCountFrequency (%)
02-488-2005 4
 
1.0%
02-457-2922 3
 
0.8%
02-469-9985 3
 
0.8%
02-2205-4000 3
 
0.8%
02-6213-9119 3
 
0.8%
02-457-4110 3
 
0.8%
453-5775 2
 
0.5%
453-1248 2
 
0.5%
070-4045-1128 2
 
0.5%
452-4420 2
 
0.5%
Other values (312) 364
93.1%
2024-04-06T20:24:31.590895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 566
15.0%
4 559
14.8%
2 435
11.5%
0 431
11.4%
5 356
9.4%
6 293
7.8%
7 277
7.3%
3 243
6.4%
1 224
 
5.9%
9 197
 
5.2%
Other values (3) 189
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3201
84.9%
Dash Punctuation 566
 
15.0%
Close Punctuation 2
 
0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 559
17.5%
2 435
13.6%
0 431
13.5%
5 356
11.1%
6 293
9.2%
7 277
8.7%
3 243
7.6%
1 224
7.0%
9 197
 
6.2%
8 186
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 566
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3770
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 566
15.0%
4 559
14.8%
2 435
11.5%
0 431
11.4%
5 356
9.4%
6 293
7.8%
7 277
7.3%
3 243
6.4%
1 224
 
5.9%
9 197
 
5.2%
Other values (3) 189
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3770
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 566
15.0%
4 559
14.8%
2 435
11.5%
0 431
11.4%
5 356
9.4%
6 293
7.8%
7 277
7.3%
3 243
6.4%
1 224
 
5.9%
9 197
 
5.2%
Other values (3) 189
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing394
Missing (%)100.0%
Memory size3.6 KiB

소재지우편번호
Text

MISSING 

Distinct85
Distinct (%)39.0%
Missing176
Missing (%)44.7%
Memory size3.2 KiB
2024-04-06T20:24:32.296240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0504587
Min length6

Characters and Unicode

Total characters1319
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

Unique43 ?
Unique (%)19.7%

Sample

1st row143890
2nd row143817
3rd row143845
4th row143816
5th row143889
ValueCountFrequency (%)
143888 13
 
6.0%
143821 9
 
4.1%
143890 8
 
3.7%
143902 8
 
3.7%
143867 8
 
3.7%
143903 7
 
3.2%
143840 6
 
2.8%
143885 6
 
2.8%
143901 6
 
2.8%
143862 5
 
2.3%
Other values (75) 142
65.1%
2024-04-06T20:24:32.958561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 285
21.6%
4 256
19.4%
3 254
19.3%
8 202
15.3%
9 82
 
6.2%
0 64
 
4.9%
2 58
 
4.4%
6 41
 
3.1%
7 39
 
3.0%
5 27
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1308
99.2%
Dash Punctuation 11
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 285
21.8%
4 256
19.6%
3 254
19.4%
8 202
15.4%
9 82
 
6.3%
0 64
 
4.9%
2 58
 
4.4%
6 41
 
3.1%
7 39
 
3.0%
5 27
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1319
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 285
21.6%
4 256
19.4%
3 254
19.3%
8 202
15.3%
9 82
 
6.2%
0 64
 
4.9%
2 58
 
4.4%
6 41
 
3.1%
7 39
 
3.0%
5 27
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1319
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 285
21.6%
4 256
19.4%
3 254
19.3%
8 202
15.3%
9 82
 
6.2%
0 64
 
4.9%
2 58
 
4.4%
6 41
 
3.1%
7 39
 
3.0%
5 27
 
2.0%

지번주소
Text

Distinct362
Distinct (%)92.3%
Missing2
Missing (%)0.5%
Memory size3.2 KiB
2024-04-06T20:24:33.380046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length44
Mean length24.959184
Min length15

Characters and Unicode

Total characters9784
Distinct characters176
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique338 ?
Unique (%)86.2%

Sample

1st row서울시 광진구 중곡2동 124-8
2nd row서울특별시 광진구 구의2동 55번지 22호 103호
3rd row서울특별시 광진구 자양4동 81번지
4th row서울특별시 광진구 구의동 30번지 13호
5th row서울특별시 광진구 중곡동 115번지 9호
ValueCountFrequency (%)
광진구 391
18.4%
서울특별시 322
 
15.1%
중곡동 79
 
3.7%
자양동 74
 
3.5%
서울시 70
 
3.3%
구의동 62
 
2.9%
1층 61
 
2.9%
1호 37
 
1.7%
화양동 33
 
1.6%
군자동 23
 
1.1%
Other values (497) 974
45.8%
2024-04-06T20:24:33.963756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1741
17.8%
1 484
 
4.9%
구 481
 
4.9%
광 416
 
4.3%
시 405
 
4.1%
동 404
 
4.1%
진 403
 
4.1%
서 396
 
4.0%
울 396
 
4.0%
2 330
 
3.4%
Other values (166) 4328
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5758
58.9%
Decimal Number 2065
 
21.1%
Space Separator 1741
 
17.8%
Dash Punctuation 136
 
1.4%
Close Punctuation 30
 
0.3%
Open Punctuation 30
 
0.3%
Other Punctuation 13
 
0.1%
Uppercase Letter 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 481
 
8.4%
광 416
 
7.2%
시 405
 
7.0%
동 404
 
7.0%
진 403
 
7.0%
서 396
 
6.9%
울 396
 
6.9%
특 322
 
5.6%
별 322
 
5.6%
호 309
 
5.4%
Other values (144) 1904
33.1%
Decimal Number
ValueCountFrequency (%)
1 484
23.4%
2 330
16.0%
4 203
9.8%
3 196
9.5%
6 174
 
8.4%
0 156
 
7.6%
5 153
 
7.4%
7 141
 
6.8%
9 124
 
6.0%
8 104
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
36.4%
D 2
18.2%
M 1
 
9.1%
E 1
 
9.1%
I 1
 
9.1%
A 1
 
9.1%
S 1
 
9.1%
Space Separator
ValueCountFrequency (%)
1741
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5758
58.9%
Common 4015
41.0%
Latin 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 481
 
8.4%
광 416
 
7.2%
시 405
 
7.0%
동 404
 
7.0%
진 403
 
7.0%
서 396
 
6.9%
울 396
 
6.9%
특 322
 
5.6%
별 322
 
5.6%
호 309
 
5.4%
Other values (144) 1904
33.1%
Common
ValueCountFrequency (%)
1741
43.4%
1 484
 
12.1%
2 330
 
8.2%
4 203
 
5.1%
3 196
 
4.9%
6 174
 
4.3%
0 156
 
3.9%
5 153
 
3.8%
7 141
 
3.5%
- 136
 
3.4%
Other values (5) 301
 
7.5%
Latin
ValueCountFrequency (%)
B 4
36.4%
D 2
18.2%
M 1
 
9.1%
E 1
 
9.1%
I 1
 
9.1%
A 1
 
9.1%
S 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5758
58.9%
ASCII 4026
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1741
43.2%
1 484
 
12.0%
2 330
 
8.2%
4 203
 
5.0%
3 196
 
4.9%
6 174
 
4.3%
0 156
 
3.9%
5 153
 
3.8%
7 141
 
3.5%
- 136
 
3.4%
Other values (12) 312
 
7.7%
Hangul
ValueCountFrequency (%)
구 481
 
8.4%
광 416
 
7.2%
시 405
 
7.0%
동 404
 
7.0%
진 403
 
7.0%
서 396
 
6.9%
울 396
 
6.9%
특 322
 
5.6%
별 322
 
5.6%
호 309
 
5.4%
Other values (144) 1904
33.1%

도로명주소
Text

MISSING 

Distinct293
Distinct (%)90.7%
Missing71
Missing (%)18.0%
Memory size3.2 KiB
2024-04-06T20:24:34.262495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length47
Mean length29.780186
Min length22

Characters and Unicode

Total characters9619
Distinct characters194
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

Unique267 ?
Unique (%)82.7%

Sample

1st row서울특별시 광진구 자양로 281, 103호 (구의동)
2nd row서울특별시 광진구 능동로3길 54 (자양동)
3rd row서울특별시 광진구 자양로 311-1 (구의동)
4th row서울특별시 광진구 천호대로 655 (중곡동)
5th row서울특별시 광진구 자양로 201, 항석빌딩 1층 (구의동)
ValueCountFrequency (%)
서울특별시 323
 
16.4%
광진구 322
 
16.4%
1층 105
 
5.3%
중곡동 86
 
4.4%
자양동 83
 
4.2%
구의동 64
 
3.3%
능동로 47
 
2.4%
아차산로 37
 
1.9%
자양로 31
 
1.6%
화양동 29
 
1.5%
Other values (420) 840
42.7%
2024-04-06T20:24:34.825446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1644
 
17.1%
동 409
 
4.3%
구 405
 
4.2%
광 376
 
3.9%
1 367
 
3.8%
진 335
 
3.5%
) 334
 
3.5%
( 334
 
3.5%
시 333
 
3.5%
로 332
 
3.5%
Other values (184) 4750
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5635
58.6%
Space Separator 1644
 
17.1%
Decimal Number 1390
 
14.5%
Close Punctuation 334
 
3.5%
Open Punctuation 334
 
3.5%
Other Punctuation 243
 
2.5%
Dash Punctuation 21
 
0.2%
Uppercase Letter 17
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 409
 
7.3%
구 405
 
7.2%
광 376
 
6.7%
진 335
 
5.9%
시 333
 
5.9%
로 332
 
5.9%
서 328
 
5.8%
울 327
 
5.8%
별 323
 
5.7%
특 323
 
5.7%
Other values (159) 2144
38.0%
Decimal Number
ValueCountFrequency (%)
1 367
26.4%
2 156
11.2%
0 149
10.7%
3 143
 
10.3%
5 140
 
10.1%
6 105
 
7.6%
4 104
 
7.5%
7 87
 
6.3%
8 74
 
5.3%
9 65
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
B 6
35.3%
D 2
 
11.8%
A 2
 
11.8%
C 2
 
11.8%
I 1
 
5.9%
M 1
 
5.9%
E 1
 
5.9%
K 1
 
5.9%
S 1
 
5.9%
Space Separator
ValueCountFrequency (%)
1644
100.0%
Close Punctuation
ValueCountFrequency (%)
) 334
100.0%
Open Punctuation
ValueCountFrequency (%)
( 334
100.0%
Other Punctuation
ValueCountFrequency (%)
, 243
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5635
58.6%
Common 3967
41.2%
Latin 17
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 409
 
7.3%
구 405
 
7.2%
광 376
 
6.7%
진 335
 
5.9%
시 333
 
5.9%
로 332
 
5.9%
서 328
 
5.8%
울 327
 
5.8%
별 323
 
5.7%
특 323
 
5.7%
Other values (159) 2144
38.0%
Common
ValueCountFrequency (%)
1644
41.4%
1 367
 
9.3%
) 334
 
8.4%
( 334
 
8.4%
, 243
 
6.1%
2 156
 
3.9%
0 149
 
3.8%
3 143
 
3.6%
5 140
 
3.5%
6 105
 
2.6%
Other values (6) 352
 
8.9%
Latin
ValueCountFrequency (%)
B 6
35.3%
D 2
 
11.8%
A 2
 
11.8%
C 2
 
11.8%
I 1
 
5.9%
M 1
 
5.9%
E 1
 
5.9%
K 1
 
5.9%
S 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5635
58.6%
ASCII 3984
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1644
41.3%
1 367
 
9.2%
) 334
 
8.4%
( 334
 
8.4%
, 243
 
6.1%
2 156
 
3.9%
0 149
 
3.7%
3 143
 
3.6%
5 140
 
3.5%
6 105
 
2.6%
Other values (15) 369
 
9.3%
Hangul
ValueCountFrequency (%)
동 409
 
7.3%
구 405
 
7.2%
광 376
 
6.7%
진 335
 
5.9%
시 333
 
5.9%
로 332
 
5.9%
서 328
 
5.8%
울 327
 
5.8%
별 323
 
5.7%
특 323
 
5.7%
Other values (159) 2144
38.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct128
Distinct (%)43.5%
Missing100
Missing (%)25.4%
Infinite0
Infinite (%)0.0%
Mean18234.939
Minimum4902
Maximum143960
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-06T20:24:35.074372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4902
5-th percentile4909.65
Q14954
median5030
Q35076
95-th percentile143878.55
Maximum143960
Range139058
Interquartile range (IQR)122

Descriptive statistics

Standard deviation40833.022
Coefficient of variation (CV)2.2392739
Kurtosis5.722425
Mean18234.939
Median Absolute Deviation (MAD)59.5
Skewness2.7719153
Sum5361072
Variance1.6673357 × 109
MonotonicityNot monotonic
2024-04-06T20:24:35.317531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5030 9
 
2.3%
5116 8
 
2.0%
4953 7
 
1.8%
4919 7
 
1.8%
4985 6
 
1.5%
5044 6
 
1.5%
5056 6
 
1.5%
4910 6
 
1.5%
5026 5
 
1.3%
5117 5
 
1.3%
Other values (118) 229
58.1%
(Missing) 100
25.4%
ValueCountFrequency (%)
4902 1
 
0.3%
4903 3
0.8%
4904 1
 
0.3%
4905 1
 
0.3%
4907 2
 
0.5%
4908 3
0.8%
4909 4
1.0%
4910 6
1.5%
4911 4
1.0%
4918 2
 
0.5%
ValueCountFrequency (%)
143960 1
0.3%
143918 1
0.3%
143916 2
0.5%
143913 1
0.3%
143912 1
0.3%
143903 1
0.3%
143902 1
0.3%
143901 2
0.5%
143900 1
0.3%
143890 2
0.5%

사업장명
Text

Distinct294
Distinct (%)74.6%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-04-06T20:24:35.708173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.3020305
Min length3

Characters and Unicode

Total characters2089
Distinct characters231
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique220 ?
Unique (%)55.8%

Sample

1st row해동온누리약국
2nd row탑메디칼약국
3rd row정동약국
4th row성안약국
5th row공원약국
ValueCountFrequency (%)
기쁨주는약국 6
 
1.5%
프라자사랑약국 4
 
1.0%
자양약국 4
 
1.0%
조은우리약국 4
 
1.0%
참약국 4
 
1.0%
나라약국 4
 
1.0%
온누리강변프라자약국 3
 
0.8%
이화봄약국 3
 
0.8%
탑메디칼약국 3
 
0.8%
착한약국 3
 
0.8%
Other values (285) 358
90.4%
2024-04-06T20:24:36.328515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 395
 
18.9%
국 393
 
18.8%
리 67
 
3.2%
온 48
 
2.3%
누 48
 
2.3%
자 35
 
1.7%
한 31
 
1.5%
대 24
 
1.1%
라 22
 
1.1%
세 21
 
1.0%
Other values (221) 1005
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2068
99.0%
Decimal Number 18
 
0.9%
Space Separator 2
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 395
19.1%
국 393
 
19.0%
리 67
 
3.2%
온 48
 
2.3%
누 48
 
2.3%
자 35
 
1.7%
한 31
 
1.5%
대 24
 
1.2%
라 22
 
1.1%
세 21
 
1.0%
Other values (213) 984
47.6%
Decimal Number
ValueCountFrequency (%)
0 6
33.3%
1 4
22.2%
3 2
 
11.1%
6 2
 
11.1%
5 2
 
11.1%
2 2
 
11.1%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2068
99.0%
Common 21
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 395
19.1%
국 393
 
19.0%
리 67
 
3.2%
온 48
 
2.3%
누 48
 
2.3%
자 35
 
1.7%
한 31
 
1.5%
대 24
 
1.2%
라 22
 
1.1%
세 21
 
1.0%
Other values (213) 984
47.6%
Common
ValueCountFrequency (%)
0 6
28.6%
1 4
19.0%
3 2
 
9.5%
2
 
9.5%
6 2
 
9.5%
5 2
 
9.5%
2 2
 
9.5%
& 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2068
99.0%
ASCII 21
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 395
19.1%
국 393
 
19.0%
리 67
 
3.2%
온 48
 
2.3%
누 48
 
2.3%
자 35
 
1.7%
한 31
 
1.5%
대 24
 
1.2%
라 22
 
1.1%
세 21
 
1.0%
Other values (213) 984
47.6%
ASCII
ValueCountFrequency (%)
0 6
28.6%
1 4
19.0%
3 2
 
9.5%
2
 
9.5%
6 2
 
9.5%
5 2
 
9.5%
2 2
 
9.5%
& 1
 
4.8%

최종수정일자
Date

UNIQUE 

Distinct394
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2008-11-18 14:56:12
Maximum2024-03-27 14:01:37
2024-04-06T20:24:36.557325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:24:36.755254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
I
267 
U
127 

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 267
67.8%
U 127
32.2%

Length

2024-04-06T20:24:36.890767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:24:37.048612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 267
67.8%
u 127
32.2%

데이터갱신일자
Date

Distinct155
Distinct (%)39.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-02 23:07:00
2024-04-06T20:24:37.193179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:24:37.384646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing394
Missing (%)100.0%
Memory size3.6 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct223
Distinct (%)68.8%
Missing70
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean207184.52
Minimum205467.47
Maximum209775.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-06T20:24:37.615153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205467.47
5-th percentile205807.63
Q1206552.72
median207246.15
Q3207740.17
95-th percentile208553.59
Maximum209775.27
Range4307.7983
Interquartile range (IQR)1187.4466

Descriptive statistics

Standard deviation861.44207
Coefficient of variation (CV)0.0041578495
Kurtosis-0.15024277
Mean207184.52
Median Absolute Deviation (MAD)567.51514
Skewness0.14498617
Sum67127785
Variance742082.43
MonotonicityNot monotonic
2024-04-06T20:24:37.808758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206241.82019349 8
 
2.0%
207295.169137261 6
 
1.5%
206960.304957991 4
 
1.0%
207380.881842195 4
 
1.0%
207272.149510501 4
 
1.0%
207137.468593835 4
 
1.0%
208558.286631653 4
 
1.0%
208013.281240358 4
 
1.0%
208403.746065593 3
 
0.8%
206919.225758796 3
 
0.8%
Other values (213) 280
71.1%
(Missing) 70
 
17.8%
ValueCountFrequency (%)
205467.46954695 2
0.5%
205523.648004219 3
0.8%
205543.06511664 1
 
0.3%
205558.67706739 1
 
0.3%
205560.921209094 1
 
0.3%
205629.876602115 1
 
0.3%
205632.848121685 1
 
0.3%
205667.498538754 1
 
0.3%
205695.245621954 1
 
0.3%
205722.712720376 1
 
0.3%
ValueCountFrequency (%)
209775.267831522 1
 
0.3%
209766.973555533 1
 
0.3%
209405.843683882 3
0.8%
209184.393048313 1
 
0.3%
209138.04726487 2
0.5%
208950.91165115 1
 
0.3%
208808.837959863 1
 
0.3%
208644.819209521 1
 
0.3%
208604.847723243 1
 
0.3%
208558.933963663 1
 
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct223
Distinct (%)68.8%
Missing70
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean449393.49
Minimum442966.57
Maximum451966.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-06T20:24:38.026354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442966.57
5-th percentile447796.82
Q1448353.91
median448968.6
Q3450495.89
95-th percentile451535.71
Maximum451966.81
Range9000.2362
Interquartile range (IQR)2141.9881

Descriptive statistics

Standard deviation1287.149
Coefficient of variation (CV)0.0028641914
Kurtosis0.60003643
Mean449393.49
Median Absolute Deviation (MAD)904.43993
Skewness0.024540286
Sum1.4560349 × 108
Variance1656752.6
MonotonicityNot monotonic
2024-04-06T20:24:38.245763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448715.06998929 8
 
2.0%
451966.809789853 6
 
1.5%
450625.255482591 4
 
1.0%
448153.591228926 4
 
1.0%
448355.730766306 4
 
1.0%
451166.351150671 4
 
1.0%
448353.905156369 4
 
1.0%
449873.038603781 4
 
1.0%
448490.239179557 3
 
0.8%
447804.946957477 3
 
0.8%
Other values (213) 280
71.1%
(Missing) 70
 
17.8%
ValueCountFrequency (%)
442966.573597189 1
 
0.3%
447446.899023804 1
 
0.3%
447609.765976299 1
 
0.3%
447665.572094253 1
 
0.3%
447709.173748072 1
 
0.3%
447717.445119677 3
0.8%
447725.636078119 1
 
0.3%
447728.818227552 2
0.5%
447760.50664641 1
 
0.3%
447776.541767446 1
 
0.3%
ValueCountFrequency (%)
451966.809789853 6
1.5%
451823.918998571 1
 
0.3%
451819.638034393 2
 
0.5%
451794.928886123 1
 
0.3%
451764.009708785 1
 
0.3%
451732.547183575 1
 
0.3%
451594.137048836 1
 
0.3%
451559.056523752 2
 
0.5%
451545.12237165 2
 
0.5%
451482.361459885 3
0.8%

약국영업면적
Real number (ℝ)

MISSING  ZEROS 

Distinct242
Distinct (%)77.6%
Missing82
Missing (%)20.8%
Infinite0
Infinite (%)0.0%
Mean41.814103
Minimum0
Maximum282.2
Zeros4
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-06T20:24:38.485455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.718
Q124.275
median34.025
Q352.1175
95-th percentile90.067
Maximum282.2
Range282.2
Interquartile range (IQR)27.8425

Descriptive statistics

Standard deviation28.274692
Coefficient of variation (CV)0.6761999
Kurtosis17.680059
Mean41.814103
Median Absolute Deviation (MAD)11.025
Skewness3.0103008
Sum13046
Variance799.4582
MonotonicityNot monotonic
2024-04-06T20:24:38.777456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.0 5
 
1.3%
0.0 4
 
1.0%
71.55 4
 
1.0%
25.7 4
 
1.0%
23.23 3
 
0.8%
21.7 3
 
0.8%
24.2 3
 
0.8%
11.0 3
 
0.8%
25.5 3
 
0.8%
57.72 3
 
0.8%
Other values (232) 277
70.3%
(Missing) 82
 
20.8%
ValueCountFrequency (%)
0.0 4
1.0%
8.2 1
 
0.3%
10.23 1
 
0.3%
11.0 3
0.8%
12.72 1
 
0.3%
12.78 1
 
0.3%
13.2 1
 
0.3%
13.85 1
 
0.3%
15.19 2
0.5%
15.3 1
 
0.3%
ValueCountFrequency (%)
282.2 1
0.3%
155.67 1
0.3%
146.52 1
0.3%
126.5 1
0.3%
120.9 2
0.5%
120.12 2
0.5%
108.5 1
0.3%
108.16 1
0.3%
108.0 1
0.3%
105.0 1
0.3%

지정일자
Real number (ℝ)

MISSING 

Distinct300
Distinct (%)95.8%
Missing81
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean20062699
Minimum19690614
Maximum20211208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-06T20:24:39.149856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19690614
5-th percentile19800235
Q120021231
median20090601
Q320150129
95-th percentile20200108
Maximum20211208
Range520594
Interquartile range (IQR)128898

Descriptive statistics

Standard deviation119292.85
Coefficient of variation (CV)0.005946002
Kurtosis1.0461677
Mean20062699
Median Absolute Deviation (MAD)60094
Skewness-1.2651816
Sum6.2796249 × 109
Variance1.4230784 × 1010
MonotonicityNot monotonic
2024-04-06T20:24:39.444028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20100823 3
 
0.8%
20140128 2
 
0.5%
20060201 2
 
0.5%
20110502 2
 
0.5%
20070918 2
 
0.5%
20000614 2
 
0.5%
20170102 2
 
0.5%
20191202 2
 
0.5%
20080501 2
 
0.5%
20210210 2
 
0.5%
Other values (290) 292
74.1%
(Missing) 81
 
20.6%
ValueCountFrequency (%)
19690614 1
0.3%
19700602 1
0.3%
19701031 1
0.3%
19711115 1
0.3%
19720412 1
0.3%
19740704 1
0.3%
19741007 1
0.3%
19760607 1
0.3%
19761002 1
0.3%
19761102 1
0.3%
ValueCountFrequency (%)
20211208 1
0.3%
20210820 1
0.3%
20210713 1
0.3%
20210427 1
0.3%
20210412 1
0.3%
20210316 1
0.3%
20210218 1
0.3%
20210210 2
0.5%
20201221 1
0.3%
20201026 1
0.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)약국영업면적지정일자
03040000PHMD11969304003308400000119690614201211213폐업3폐업20120529<NA><NA><NA>457-4110<NA>143890서울시 광진구 중곡2동 124-8<NA><NA>해동온누리약국2012-11-21 10:28:48I2018-08-31 23:59:59.0<NA><NA><NA><NA>19690614
13040000PHMD11970304003308400000119700602201301023폐업3폐업20130102<NA><NA><NA>467-5452<NA>143817서울특별시 광진구 구의2동 55번지 22호 103호서울특별시 광진구 자양로 281, 103호 (구의동)<NA>탑메디칼약국2013-01-02 16:11:54I2018-08-31 23:59:59.0<NA>208013.28124449873.03860433.9919700602
23040000PHMD11970304003308400000219701031201311123폐업3폐업20131112<NA><NA><NA>461-1155<NA>143845서울특별시 광진구 자양4동 81번지서울특별시 광진구 능동로3길 54 (자양동)143845정동약국2013-11-12 14:06:06I2018-08-31 23:59:59.0<NA>205632.848122448001.49959530.6619701031
33040000PHMD11971304003308400000119711115<NA>3폐업3폐업20210831<NA><NA><NA>446-3056<NA>143816서울특별시 광진구 구의동 30번지 13호서울특별시 광진구 자양로 311-1 (구의동)4955성안약국2021-09-08 18:23:18I2021-09-10 00:22:49.0<NA>208170.69185450113.9257830.019711115
43040000PHMD11972304003308400000119720412201606073폐업3폐업20160607<NA><NA><NA>457-5680<NA>143889서울특별시 광진구 중곡동 115번지 9호서울특별시 광진구 천호대로 655 (중곡동)4953공원약국2016-06-07 15:05:30I2018-08-31 23:59:59.0<NA>207859.458124450042.16029633.1119720412
53040000PHMD11974304003308400000119740704<NA>1영업/정상13영업중<NA><NA><NA><NA>447-9621<NA><NA>서울특별시 광진구 구의동 80-46 항석빌딩서울특별시 광진구 자양로 201, 항석빌딩 1층 (구의동)4991용마약국2021-06-21 13:39:04U2021-06-23 02:40:00.0<NA>207478.696274449255.02605229.819740704
63040000PHMD11974304003308400000319741007201212033폐업3폐업20121203<NA><NA><NA>467-7287<NA>143840서울시 광진구 군자동 363-1<NA><NA>신백구약국2012-12-03 10:01:43I2018-08-31 23:59:59.0<NA><NA><NA>0.019741007
73040000PHMD11976304003308400000119760607<NA>1영업/정상13영업중<NA><NA><NA><NA>467-1088<NA><NA>서울특별시 광진구 중곡동 230번지 1호서울특별시 광진구 긴고랑로9길 29 (중곡동)4910조광옵티마약국2015-12-17 13:38:02I2018-08-31 23:59:59.0<NA>207117.721454451395.72898833.319760607
83040000PHMD11976304003308400000219761002201405153폐업3폐업20140515<NA><NA><NA>446-0280<NA>143918서울특별시 광진구 구의동 244번지 50호서울특별시 광진구 아차산로 419 (구의동)143918신대남약국2014-05-15 15:59:23I2018-08-31 23:59:59.0<NA>207822.300539448443.28377622.9419761002
93040000PHMD11976304003308400000419761102201409303폐업3폐업20140930<NA><NA><NA>457-9140<NA>143913서울특별시 광진구 중곡동 18번지 1호서울특별시 광진구 용마산로 160 (중곡동)143913용약국2014-09-30 15:44:08I2018-08-31 23:59:59.0<NA>207562.672581451732.5471840.019761102
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)약국영업면적지정일자
3843040000PHMD1202330400330840000122023-10-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2205-4000<NA><NA>서울특별시 광진구 중곡동 649-8 DM빌딩서울특별시 광진구 능동로 315, DM빌딩 1층 (중곡동)4919프라자사랑약국2024-02-26 17:48:40U2023-12-01 22:09:00.0<NA>206960.304958450625.255483<NA><NA>
3853040000PHMD1202330400330840000132023-11-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-452-3395<NA><NA>서울특별시 광진구 광장동 218-1 광장극동아파트서울특별시 광진구 아차산로 552, 상가동 1층 102호 (광장동, 광장극동아파트)4971노르웨이약국2023-11-03 16:46:53I2022-11-01 00:05:00.0<NA>209138.047265448993.925427<NA><NA>
3863040000PHMD1202330400330840000142023-11-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-468-0966<NA><NA>서울특별시 광진구 군자동 27-2서울특별시 광진구 능동로 261, 1층 102호 (군자동)4998당근온누리약국2024-03-11 13:57:28U2023-12-02 23:03:00.0<NA>206746.70833450141.931842<NA><NA>
3873040000PHMD1202330400330840000152023-12-06<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3437-3027<NA><NA>서울특별시 광진구 구의동 631-1 프라임프라자서울특별시 광진구 광나루로56길 63, 프라임프라자 107~109호 (구의동)5119온누리강변프라자약국2023-12-06 17:42:07I2022-11-02 00:09:00.0<NA>208558.286632448353.905156<NA><NA>
3883040000PHMD1202430400330840000012024-01-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-446-5383<NA><NA>서울특별시 광진구 자양동 612-58서울특별시 광진구 자양로15길 26, 1층 (자양동)5055제일약국2024-01-05 11:42:33I2023-12-01 00:07:00.0<NA>207188.872499448168.939496<NA><NA>
3893040000PHMD1202430400330840000022024-01-09<NA>1영업/정상13영업중<NA><NA><NA><NA>02-457-7156<NA><NA>서울특별시 광진구 중곡동 140-29서울특별시 광진구 천호대로 575, 1층 (중곡동)4930가원약국2024-01-10 10:00:31I2023-11-30 23:02:00.0<NA>207190.600271450474.466965<NA><NA>
3903040000PHMD1202430400330840000032024-01-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-457-5885<NA><NA>서울특별시 광진구 구의동 75-1 썬-타워빌딩서울특별시 광진구 천호대로 670, 썬-타워빌딩 1층 102호 (구의동)4992아차산봄약국2024-01-26 09:42:11I2023-11-30 22:08:00.0<NA>207842.314393449868.243723<NA><NA>
3913040000PHMD1202430400330840000042024-01-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-453-0770<NA><NA>서울특별시 광진구 구의동 246-14 크레신타워3차서울특별시 광진구 아차산로 375, 크레신타워3차 1층 107호 (구의동)5044라인약국2024-01-29 17:13:57I2023-11-30 21:01:00.0<NA>207388.308849448313.517465<NA><NA>
3923040000PHMD1202430400330840000052024-02-06<NA>1영업/정상13영업중<NA><NA><NA><NA>02-455-3655<NA><NA>서울특별시 광진구 능동 222-1 동우빌딩서울특별시 광진구 천호대로 566, 동우빌딩 1층 (능동)4985광진365플러스약국2024-03-13 17:33:23U2023-12-02 23:05:00.0<NA>207053.951572450454.947664<NA><NA>
3933040000PHMD1202430400330840000062024-02-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-465-1374<NA><NA>서울특별시 광진구 군자동 477-17 ES빌딩서울특별시 광진구 능동로 295, ES빌딩 1층 101호 (군자동)4997하하약국2024-02-13 17:37:04I2023-12-01 23:05:00.0<NA>206864.714426450440.011309<NA><NA>