Overview

Dataset statistics

Number of variables27
Number of observations1063
Missing cells10687
Missing cells (%)37.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory238.9 KiB
Average record size in memory230.1 B

Variable types

Categorical6
Text7
Unsupported6
DateTime3
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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-16321/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 1063 (100.0%) missing valuesMissing
폐업일자 has 232 (21.8%) missing valuesMissing
휴업시작일자 has 1063 (100.0%) missing valuesMissing
휴업종료일자 has 1063 (100.0%) missing valuesMissing
재개업일자 has 1063 (100.0%) missing valuesMissing
전화번호 has 381 (35.8%) missing valuesMissing
소재지면적 has 1063 (100.0%) missing valuesMissing
소재지우편번호 has 924 (86.9%) missing valuesMissing
지번주소 has 55 (5.2%) missing valuesMissing
도로명주소 has 626 (58.9%) missing valuesMissing
도로명우편번호 has 691 (65.0%) missing valuesMissing
업태구분명 has 1063 (100.0%) missing valuesMissing
좌표정보(X) has 629 (59.2%) missing valuesMissing
좌표정보(Y) has 629 (59.2%) missing valuesMissing
약국영업면적 has 71 (6.7%) missing valuesMissing
지정일자 has 71 (6.7%) 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 562 (52.9%) zerosZeros

Reproduction

Analysis started2024-05-11 05:49:09.034978
Analysis finished2024-05-11 05:49:10.385451
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 size8.4 KiB
3110000
1063 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 1063
100.0%

Length

2024-05-11T14:49:10.593743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:49:10.751754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 1063
100.0%

관리번호
Text

UNIQUE 

Distinct1063
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
2024-05-11T14:49:11.064248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters26575
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

Unique1063 ?
Unique (%)100.0%

Sample

1st rowPHMD119593110032084000001
2nd rowPHMD119603110032084000001
3rd rowPHMD119633110032084000001
4th rowPHMD119643110032084000001
5th rowPHMD119643110032084000002
ValueCountFrequency (%)
phmd119593110032084000001 1
 
0.1%
phmd120073110032084000003 1
 
0.1%
phmd120073110032084000019 1
 
0.1%
phmd120063110032084000011 1
 
0.1%
phmd120063110032084000012 1
 
0.1%
phmd120063110032084000013 1
 
0.1%
phmd120063110032084000014 1
 
0.1%
phmd120063110032084000016 1
 
0.1%
phmd120063110032084000017 1
 
0.1%
phmd120063110032084000018 1
 
0.1%
Other values (1053) 1053
99.1%
2024-05-11T14:49:11.634085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8944
33.7%
1 4550
17.1%
3 2409
 
9.1%
2 2081
 
7.8%
8 1424
 
5.4%
4 1282
 
4.8%
P 1063
 
4.0%
H 1063
 
4.0%
M 1063
 
4.0%
D 1063
 
4.0%
Other values (4) 1633
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22323
84.0%
Uppercase Letter 4252
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8944
40.1%
1 4550
20.4%
3 2409
 
10.8%
2 2081
 
9.3%
8 1424
 
6.4%
4 1282
 
5.7%
9 939
 
4.2%
7 275
 
1.2%
6 218
 
1.0%
5 201
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 1063
25.0%
H 1063
25.0%
M 1063
25.0%
D 1063
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22323
84.0%
Latin 4252
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8944
40.1%
1 4550
20.4%
3 2409
 
10.8%
2 2081
 
9.3%
8 1424
 
6.4%
4 1282
 
5.7%
9 939
 
4.2%
7 275
 
1.2%
6 218
 
1.0%
5 201
 
0.9%
Latin
ValueCountFrequency (%)
P 1063
25.0%
H 1063
25.0%
M 1063
25.0%
D 1063
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26575
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8944
33.7%
1 4550
17.1%
3 2409
 
9.1%
2 2081
 
7.8%
8 1424
 
5.4%
4 1282
 
4.8%
P 1063
 
4.0%
H 1063
 
4.0%
M 1063
 
4.0%
D 1063
 
4.0%
Other values (4) 1633
 
6.1%

인허가일자
Text

Distinct994
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
2024-05-11T14:49:12.191723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.0865475
Min length8

Characters and Unicode

Total characters8596
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

Unique929 ?
Unique (%)87.4%

Sample

1st row19590415
2nd row19600314
3rd row19630823
4th row19640108
5th row19640317
ValueCountFrequency (%)
20120706 4
 
0.4%
19730731 3
 
0.3%
20190401 3
 
0.3%
19880513 2
 
0.2%
19800403 2
 
0.2%
19880609 2
 
0.2%
19990213 2
 
0.2%
20181213 2
 
0.2%
19770608 2
 
0.2%
19980806 2
 
0.2%
Other values (984) 1039
97.7%
2024-05-11T14:49:13.025563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2301
26.8%
1 1735
20.2%
2 1285
14.9%
9 1033
12.0%
8 458
 
5.3%
3 410
 
4.8%
7 371
 
4.3%
4 325
 
3.8%
6 306
 
3.6%
5 280
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8504
98.9%
Dash Punctuation 92
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2301
27.1%
1 1735
20.4%
2 1285
15.1%
9 1033
12.1%
8 458
 
5.4%
3 410
 
4.8%
7 371
 
4.4%
4 325
 
3.8%
6 306
 
3.6%
5 280
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8596
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2301
26.8%
1 1735
20.2%
2 1285
14.9%
9 1033
12.0%
8 458
 
5.3%
3 410
 
4.8%
7 371
 
4.3%
4 325
 
3.8%
6 306
 
3.6%
5 280
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8596
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2301
26.8%
1 1735
20.2%
2 1285
14.9%
9 1033
12.0%
8 458
 
5.3%
3 410
 
4.8%
7 371
 
4.3%
4 325
 
3.8%
6 306
 
3.6%
5 280
 
3.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1063
Missing (%)100.0%
Memory size9.5 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
3
826 
1
232 
4
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 826
77.7%
1 232
 
21.8%
4 5
 
0.5%

Length

2024-05-11T14:49:13.243585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:49:13.415669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 826
77.7%
1 232
 
21.8%
4 5
 
0.5%

영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
폐업
826 
영업/정상
232 
취소/말소/만료/정지/중지
 
5

Length

Max length14
Median length2
Mean length2.7111947
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 826
77.7%
영업/정상 232
 
21.8%
취소/말소/만료/정지/중지 5
 
0.5%

Length

2024-05-11T14:49:13.608154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:49:13.778883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 826
77.7%
영업/정상 232
 
21.8%
취소/말소/만료/정지/중지 5
 
0.5%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
3
826 
13
232 
24
 
5

Length

Max length2
Median length1
Mean length1.2229539
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 826
77.7%
13 232
 
21.8%
24 5
 
0.5%

Length

2024-05-11T14:49:13.966030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:49:14.116610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 826
77.7%
13 232
 
21.8%
24 5
 
0.5%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
폐업
826 
영업중
232 
직권폐업
 
5

Length

Max length4
Median length2
Mean length2.2276576
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 826
77.7%
영업중 232
 
21.8%
직권폐업 5
 
0.5%

Length

2024-05-11T14:49:14.319429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:49:14.497724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 826
77.7%
영업중 232
 
21.8%
직권폐업 5
 
0.5%

폐업일자
Date

MISSING 

Distinct777
Distinct (%)93.5%
Missing232
Missing (%)21.8%
Memory size8.4 KiB
Minimum1989-12-15 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T14:49:14.665700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:49:14.880613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1063
Missing (%)100.0%
Memory size9.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1063
Missing (%)100.0%
Memory size9.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1063
Missing (%)100.0%
Memory size9.5 KiB

전화번호
Text

MISSING 

Distinct498
Distinct (%)73.0%
Missing381
Missing (%)35.8%
Memory size8.4 KiB
2024-05-11T14:49:15.361612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.445748
Min length7

Characters and Unicode

Total characters7124
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

Unique372 ?
Unique (%)54.5%

Sample

1st row02-355-1976
2nd row02-355-2039
3rd row02-355-2896
4th row02-355-3162
5th row02-372-8532
ValueCountFrequency (%)
02-356-7676 5
 
0.7%
02-351-3415 5
 
0.7%
02-373-9725 5
 
0.7%
02-307-7003 5
 
0.7%
352-4079 4
 
0.6%
02-358-8141 4
 
0.6%
02-350-8060 4
 
0.6%
375-0073 4
 
0.6%
02-351-3535 4
 
0.6%
02-382-2137 4
 
0.6%
Other values (488) 638
93.5%
2024-05-11T14:49:16.055724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1187
16.7%
3 1081
15.2%
0 945
13.3%
2 913
12.8%
5 730
10.2%
8 559
7.8%
7 470
 
6.6%
6 346
 
4.9%
9 314
 
4.4%
1 311
 
4.4%
Other values (3) 268
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5927
83.2%
Dash Punctuation 1187
 
16.7%
Close Punctuation 9
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1081
18.2%
0 945
15.9%
2 913
15.4%
5 730
12.3%
8 559
9.4%
7 470
7.9%
6 346
 
5.8%
9 314
 
5.3%
1 311
 
5.2%
4 258
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 1187
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7124
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1187
16.7%
3 1081
15.2%
0 945
13.3%
2 913
12.8%
5 730
10.2%
8 559
7.8%
7 470
 
6.6%
6 346
 
4.9%
9 314
 
4.4%
1 311
 
4.4%
Other values (3) 268
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7124
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1187
16.7%
3 1081
15.2%
0 945
13.3%
2 913
12.8%
5 730
10.2%
8 559
7.8%
7 470
 
6.6%
6 346
 
4.9%
9 314
 
4.4%
1 311
 
4.4%
Other values (3) 268
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1063
Missing (%)100.0%
Memory size9.5 KiB

소재지우편번호
Text

MISSING 

Distinct67
Distinct (%)48.2%
Missing924
Missing (%)86.9%
Memory size8.4 KiB
2024-05-11T14:49:16.438458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0215827
Min length6

Characters and Unicode

Total characters837
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

Unique35 ?
Unique (%)25.2%

Sample

1st row122041
2nd row122924
3rd row122042
4th row122881
5th row122881
ValueCountFrequency (%)
122200 11
 
7.9%
122837 7
 
5.0%
122923 5
 
3.6%
122842 5
 
3.6%
122919 5
 
3.6%
122860 4
 
2.9%
122810 4
 
2.9%
122888 4
 
2.9%
122858 4
 
2.9%
122823 3
 
2.2%
Other values (57) 87
62.6%
2024-05-11T14:49:17.058040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 303
36.2%
1 159
19.0%
8 94
 
11.2%
0 75
 
9.0%
9 57
 
6.8%
3 53
 
6.3%
7 27
 
3.2%
5 27
 
3.2%
4 19
 
2.3%
6 13
 
1.6%
Other values (2) 10
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 827
98.8%
Space Separator 7
 
0.8%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 303
36.6%
1 159
19.2%
8 94
 
11.4%
0 75
 
9.1%
9 57
 
6.9%
3 53
 
6.4%
7 27
 
3.3%
5 27
 
3.3%
4 19
 
2.3%
6 13
 
1.6%
Space Separator
ValueCountFrequency (%)
7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 837
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 303
36.2%
1 159
19.0%
8 94
 
11.2%
0 75
 
9.0%
9 57
 
6.8%
3 53
 
6.3%
7 27
 
3.2%
5 27
 
3.2%
4 19
 
2.3%
6 13
 
1.6%
Other values (2) 10
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 837
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 303
36.2%
1 159
19.0%
8 94
 
11.2%
0 75
 
9.0%
9 57
 
6.8%
3 53
 
6.3%
7 27
 
3.2%
5 27
 
3.2%
4 19
 
2.3%
6 13
 
1.6%
Other values (2) 10
 
1.2%

지번주소
Text

MISSING 

Distinct722
Distinct (%)71.6%
Missing55
Missing (%)5.2%
Memory size8.4 KiB
2024-05-11T14:49:17.716938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length43
Mean length23.397817
Min length13

Characters and Unicode

Total characters23585
Distinct characters173
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

Unique553 ?
Unique (%)54.9%

Sample

1st row서울특별시 은평구 대조동 14번지 14호
2nd row서울특별시 은평구 대조동 14번지 14호
3rd row서울특별시 은평구 불광1동 600번지 2호
4th row서울특별시 은평구 대조동 185번지 28호
5th row서울특별시 은평구 녹번동 14번지 1호
ValueCountFrequency (%)
서울특별시 1003
19.5%
은평구 1003
19.5%
1호 135
 
2.6%
대조동 116
 
2.3%
응암동 91
 
1.8%
갈현동 83
 
1.6%
불광동 76
 
1.5%
녹번동 50
 
1.0%
2호 47
 
0.9%
신사동 45
 
0.9%
Other values (578) 2489
48.4%
2024-05-11T14:49:18.578617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4162
17.6%
1 1125
 
4.8%
구 1043
 
4.4%
은 1033
 
4.4%
평 1032
 
4.4%
동 1031
 
4.4%
시 1007
 
4.3%
번 1006
 
4.3%
서 1005
 
4.3%
울 1004
 
4.3%
Other values (163) 10137
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14531
61.6%
Decimal Number 4808
 
20.4%
Space Separator 4162
 
17.6%
Dash Punctuation 46
 
0.2%
Uppercase Letter 26
 
0.1%
Other Punctuation 7
 
< 0.1%
Math Symbol 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1043
 
7.2%
은 1033
 
7.1%
평 1032
 
7.1%
동 1031
 
7.1%
시 1007
 
6.9%
번 1006
 
6.9%
서 1005
 
6.9%
울 1004
 
6.9%
특 1003
 
6.9%
별 1003
 
6.9%
Other values (135) 4364
30.0%
Decimal Number
ValueCountFrequency (%)
1 1125
23.4%
2 812
16.9%
3 524
10.9%
4 453
9.4%
0 350
 
7.3%
5 325
 
6.8%
9 321
 
6.7%
8 317
 
6.6%
6 308
 
6.4%
7 273
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
B 5
19.2%
C 5
19.2%
A 3
11.5%
D 3
11.5%
M 3
11.5%
T 2
 
7.7%
S 2
 
7.7%
Y 1
 
3.8%
P 1
 
3.8%
K 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
& 1
 
14.3%
Space Separator
ValueCountFrequency (%)
4162
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14531
61.6%
Common 9027
38.3%
Latin 27
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1043
 
7.2%
은 1033
 
7.1%
평 1032
 
7.1%
동 1031
 
7.1%
시 1007
 
6.9%
번 1006
 
6.9%
서 1005
 
6.9%
울 1004
 
6.9%
특 1003
 
6.9%
별 1003
 
6.9%
Other values (135) 4364
30.0%
Common
ValueCountFrequency (%)
4162
46.1%
1 1125
 
12.5%
2 812
 
9.0%
3 524
 
5.8%
4 453
 
5.0%
0 350
 
3.9%
5 325
 
3.6%
9 321
 
3.6%
8 317
 
3.5%
6 308
 
3.4%
Other values (7) 330
 
3.7%
Latin
ValueCountFrequency (%)
B 5
18.5%
C 5
18.5%
A 3
11.1%
D 3
11.1%
M 3
11.1%
T 2
 
7.4%
S 2
 
7.4%
Y 1
 
3.7%
P 1
 
3.7%
e 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14531
61.6%
ASCII 9054
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4162
46.0%
1 1125
 
12.4%
2 812
 
9.0%
3 524
 
5.8%
4 453
 
5.0%
0 350
 
3.9%
5 325
 
3.6%
9 321
 
3.5%
8 317
 
3.5%
6 308
 
3.4%
Other values (18) 357
 
3.9%
Hangul
ValueCountFrequency (%)
구 1043
 
7.2%
은 1033
 
7.1%
평 1032
 
7.1%
동 1031
 
7.1%
시 1007
 
6.9%
번 1006
 
6.9%
서 1005
 
6.9%
울 1004
 
6.9%
특 1003
 
6.9%
별 1003
 
6.9%
Other values (135) 4364
30.0%

도로명주소
Text

MISSING 

Distinct367
Distinct (%)84.0%
Missing626
Missing (%)58.9%
Memory size8.4 KiB
2024-05-11T14:49:19.061557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length46
Mean length28.885584
Min length21

Characters and Unicode

Total characters12623
Distinct characters204
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

Unique316 ?
Unique (%)72.3%

Sample

1st row서울특별시 은평구 불광로2길 8 (불광동)
2nd row서울특별시 은평구 통일로 843 (대조동)
3rd row서울특별시 은평구 통일로 675 (녹번동)
4th row서울특별시 은평구 통일로 739 (대조동)
5th row서울특별시 은평구 연서로 73 (역촌동)
ValueCountFrequency (%)
서울특별시 437
 
17.0%
은평구 437
 
17.0%
통일로 91
 
3.5%
1층 87
 
3.4%
응암동 85
 
3.3%
불광동 61
 
2.4%
대조동 51
 
2.0%
갈현동 49
 
1.9%
연서로 46
 
1.8%
응암로 39
 
1.5%
Other values (465) 1189
46.2%
2024-05-11T14:49:19.842128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2136
 
16.9%
1 535
 
4.2%
서 524
 
4.2%
은 521
 
4.1%
평 520
 
4.1%
동 463
 
3.7%
구 451
 
3.6%
로 448
 
3.5%
시 442
 
3.5%
( 439
 
3.5%
Other values (194) 6144
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7301
57.8%
Space Separator 2136
 
16.9%
Decimal Number 1905
 
15.1%
Open Punctuation 439
 
3.5%
Close Punctuation 439
 
3.5%
Other Punctuation 287
 
2.3%
Dash Punctuation 70
 
0.6%
Uppercase Letter 39
 
0.3%
Lowercase Letter 6
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 524
 
7.2%
은 521
 
7.1%
평 520
 
7.1%
동 463
 
6.3%
구 451
 
6.2%
로 448
 
6.1%
시 442
 
6.1%
울 438
 
6.0%
특 437
 
6.0%
별 437
 
6.0%
Other values (161) 2620
35.9%
Uppercase Letter
ValueCountFrequency (%)
B 9
23.1%
A 6
15.4%
C 5
12.8%
D 4
10.3%
T 4
10.3%
P 3
 
7.7%
M 3
 
7.7%
S 2
 
5.1%
H 1
 
2.6%
K 1
 
2.6%
Decimal Number
ValueCountFrequency (%)
1 535
28.1%
2 288
15.1%
3 211
 
11.1%
0 208
 
10.9%
7 153
 
8.0%
8 122
 
6.4%
4 111
 
5.8%
5 105
 
5.5%
6 94
 
4.9%
9 78
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
s 2
33.3%
a 2
33.3%
e 1
16.7%
u 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 285
99.3%
& 1
 
0.3%
. 1
 
0.3%
Space Separator
ValueCountFrequency (%)
2136
100.0%
Open Punctuation
ValueCountFrequency (%)
( 439
100.0%
Close Punctuation
ValueCountFrequency (%)
) 439
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7301
57.8%
Common 5277
41.8%
Latin 45
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 524
 
7.2%
은 521
 
7.1%
평 520
 
7.1%
동 463
 
6.3%
구 451
 
6.2%
로 448
 
6.1%
시 442
 
6.1%
울 438
 
6.0%
특 437
 
6.0%
별 437
 
6.0%
Other values (161) 2620
35.9%
Common
ValueCountFrequency (%)
2136
40.5%
1 535
 
10.1%
( 439
 
8.3%
) 439
 
8.3%
2 288
 
5.5%
, 285
 
5.4%
3 211
 
4.0%
0 208
 
3.9%
7 153
 
2.9%
8 122
 
2.3%
Other values (8) 461
 
8.7%
Latin
ValueCountFrequency (%)
B 9
20.0%
A 6
13.3%
C 5
11.1%
D 4
8.9%
T 4
8.9%
P 3
 
6.7%
M 3
 
6.7%
S 2
 
4.4%
s 2
 
4.4%
a 2
 
4.4%
Other values (5) 5
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7301
57.8%
ASCII 5322
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2136
40.1%
1 535
 
10.1%
( 439
 
8.2%
) 439
 
8.2%
2 288
 
5.4%
, 285
 
5.4%
3 211
 
4.0%
0 208
 
3.9%
7 153
 
2.9%
8 122
 
2.3%
Other values (23) 506
 
9.5%
Hangul
ValueCountFrequency (%)
서 524
 
7.2%
은 521
 
7.1%
평 520
 
7.1%
동 463
 
6.3%
구 451
 
6.2%
로 448
 
6.1%
시 442
 
6.1%
울 438
 
6.0%
특 437
 
6.0%
별 437
 
6.0%
Other values (161) 2620
35.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct127
Distinct (%)34.1%
Missing691
Missing (%)65.0%
Infinite0
Infinite (%)0.0%
Mean12701.599
Minimum3300
Maximum122930
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2024-05-11T14:49:20.184582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3300
5-th percentile3306
Q13345
median3396
Q33462.5
95-th percentile122836.45
Maximum122930
Range119630
Interquartile range (IQR)117.5

Descriptive statistics

Standard deviation32050.87
Coefficient of variation (CV)2.5233727
Kurtosis8.0359667
Mean12701.599
Median Absolute Deviation (MAD)62
Skewness3.1611207
Sum4724995
Variance1.0272583 × 109
MonotonicityNot monotonic
2024-05-11T14:49:20.453128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3306 15
 
1.4%
3396 12
 
1.1%
3311 11
 
1.0%
3345 10
 
0.9%
3385 10
 
0.9%
3368 10
 
0.9%
3454 8
 
0.8%
3331 8
 
0.8%
3330 8
 
0.8%
3329 8
 
0.8%
Other values (117) 272
 
25.6%
(Missing) 691
65.0%
ValueCountFrequency (%)
3300 2
 
0.2%
3302 5
 
0.5%
3303 2
 
0.2%
3306 15
1.4%
3311 11
1.0%
3312 3
 
0.3%
3315 1
 
0.1%
3321 6
 
0.6%
3325 2
 
0.2%
3328 4
 
0.4%
ValueCountFrequency (%)
122930 1
0.1%
122927 1
0.1%
122924 1
0.1%
122923 2
0.2%
122919 1
0.1%
122907 1
0.1%
122882 1
0.1%
122879 2
0.2%
122861 1
0.1%
122860 1
0.1%

사업장명
Text

Distinct684
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
2024-05-11T14:49:20.955155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length4.9031044
Min length3

Characters and Unicode

Total characters5212
Distinct characters293
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique467 ?
Unique (%)43.9%

Sample

1st row황금당약국
2nd row건우피약국
3rd row삼옥약국
4th row영창당약국
5th row선일약국
ValueCountFrequency (%)
푸른약국 8
 
0.8%
정다운약국 7
 
0.7%
보원약국 6
 
0.6%
종로사약국 6
 
0.6%
남대문약국 6
 
0.6%
대우약국 6
 
0.6%
참사랑약국 6
 
0.6%
미소약국 6
 
0.6%
열린약국 6
 
0.6%
성모약국 5
 
0.5%
Other values (676) 1004
94.2%
2024-05-11T14:49:21.796505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 1070
20.5%
약 1068
20.5%
리 104
 
2.0%
신 78
 
1.5%
온 57
 
1.1%
우 57
 
1.1%
성 56
 
1.1%
한 56
 
1.1%
누 55
 
1.1%
사 54
 
1.0%
Other values (283) 2557
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5183
99.4%
Decimal Number 26
 
0.5%
Space Separator 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 1070
20.6%
약 1068
20.6%
리 104
 
2.0%
신 78
 
1.5%
온 57
 
1.1%
우 57
 
1.1%
성 56
 
1.1%
한 56
 
1.1%
누 55
 
1.1%
사 54
 
1.0%
Other values (276) 2528
48.8%
Decimal Number
ValueCountFrequency (%)
2 6
23.1%
6 5
19.2%
5 5
19.2%
3 5
19.2%
1 4
15.4%
4 1
 
3.8%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5183
99.4%
Common 29
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 1070
20.6%
약 1068
20.6%
리 104
 
2.0%
신 78
 
1.5%
온 57
 
1.1%
우 57
 
1.1%
성 56
 
1.1%
한 56
 
1.1%
누 55
 
1.1%
사 54
 
1.0%
Other values (276) 2528
48.8%
Common
ValueCountFrequency (%)
2 6
20.7%
6 5
17.2%
5 5
17.2%
3 5
17.2%
1 4
13.8%
3
10.3%
4 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5183
99.4%
ASCII 29
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 1070
20.6%
약 1068
20.6%
리 104
 
2.0%
신 78
 
1.5%
온 57
 
1.1%
우 57
 
1.1%
성 56
 
1.1%
한 56
 
1.1%
누 55
 
1.1%
사 54
 
1.0%
Other values (276) 2528
48.8%
ASCII
ValueCountFrequency (%)
2 6
20.7%
6 5
17.2%
5 5
17.2%
3 5
17.2%
1 4
13.8%
3
10.3%
4 1
 
3.4%

최종수정일자
Date

Distinct588
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
Minimum2008-12-15 13:29:57
Maximum2024-05-01 09:13:00
2024-05-11T14:49:22.053457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:49:22.363889image/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 size8.4 KiB
I
914 
U
149 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 914
86.0%
U 149
 
14.0%

Length

2024-05-11T14:49:22.564288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:49:22.713424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 914
86.0%
u 149
 
14.0%

데이터갱신일자
Date

Distinct159
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:03:00
2024-05-11T14:49:22.899690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:49:23.136878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1063
Missing (%)100.0%
Memory size9.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct284
Distinct (%)65.4%
Missing629
Missing (%)59.2%
Infinite0
Infinite (%)0.0%
Mean192870.11
Minimum190470.57
Maximum194405.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2024-05-11T14:49:23.411280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190470.57
5-th percentile191615.33
Q1192543.24
median192875.06
Q3193304.02
95-th percentile193994.4
Maximum194405.93
Range3935.3629
Interquartile range (IQR)760.77183

Descriptive statistics

Standard deviation726.58764
Coefficient of variation (CV)0.0037672381
Kurtosis0.92867411
Mean192870.11
Median Absolute Deviation (MAD)345.96503
Skewness-0.63004788
Sum83705629
Variance527929.6
MonotonicityNot monotonic
2024-05-11T14:49:23.688883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193040.646772556 8
 
0.8%
191861.029104012 7
 
0.7%
194011.976070318 6
 
0.6%
193141.634553613 5
 
0.5%
193725.038879415 5
 
0.5%
192854.965975 5
 
0.5%
193103.427054842 4
 
0.4%
192998.202204135 4
 
0.4%
192888.942502003 4
 
0.4%
192796.559574846 4
 
0.4%
Other values (274) 382
35.9%
(Missing) 629
59.2%
ValueCountFrequency (%)
190470.571086776 1
0.1%
190568.046976573 1
0.1%
190614.8075377 1
0.1%
190628.880971368 1
0.1%
190661.668310498 1
0.1%
190705.326283408 1
0.1%
190773.265170927 1
0.1%
190774.119177382 2
0.2%
190892.745619589 2
0.2%
190981.320576215 1
0.1%
ValueCountFrequency (%)
194405.934013017 1
 
0.1%
194353.326216093 1
 
0.1%
194351.457576382 2
0.2%
194250.635721591 1
 
0.1%
194228.02282041 1
 
0.1%
194220.324789601 2
0.2%
194199.345081 1
 
0.1%
194140.340023169 3
0.3%
194091.161007871 1
 
0.1%
194026.818246943 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct284
Distinct (%)65.4%
Missing629
Missing (%)59.2%
Infinite0
Infinite (%)0.0%
Mean456302.16
Minimum452799.6
Maximum460518.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2024-05-11T14:49:23.938418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452799.6
5-th percentile453647.41
Q1455239.64
median456433.24
Q3457417.38
95-th percentile459610.3
Maximum460518.84
Range7719.2402
Interquartile range (IQR)2177.7492

Descriptive statistics

Standard deviation1655.714
Coefficient of variation (CV)0.0036285474
Kurtosis-0.16588257
Mean456302.16
Median Absolute Deviation (MAD)1085.9918
Skewness0.28928643
Sum1.9803514 × 108
Variance2741388.9
MonotonicityNot monotonic
2024-05-11T14:49:24.177624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
457261.813862056 8
 
0.8%
454898.499123602 7
 
0.7%
457242.998929495 6
 
0.6%
457534.574375304 5
 
0.5%
456452.564707605 5
 
0.5%
458811.182552 5
 
0.5%
459986.856034813 4
 
0.4%
457479.99522553 4
 
0.4%
457417.384961226 4
 
0.4%
457879.478484145 4
 
0.4%
Other values (274) 382
35.9%
(Missing) 629
59.2%
ValueCountFrequency (%)
452799.599269845 1
0.1%
452890.003005512 1
0.1%
452946.246733537 2
0.2%
453174.186668694 1
0.1%
453194.537663327 1
0.1%
453233.87892951 1
0.1%
453295.781525013 2
0.2%
453341.43857548 1
0.1%
453357.692278244 1
0.1%
453379.921770515 1
0.1%
ValueCountFrequency (%)
460518.839422473 2
0.2%
460400.65152903 1
 
0.1%
460377.805718 1
 
0.1%
460296.054891664 1
 
0.1%
460126.341096145 2
0.2%
460081.763737 2
0.2%
459986.856034813 4
0.4%
459913.076110867 2
0.2%
459905.785470521 2
0.2%
459895.117541727 2
0.2%

약국영업면적
Real number (ℝ)

MISSING  ZEROS 

Distinct310
Distinct (%)31.2%
Missing71
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean20.102419
Minimum0
Maximum162.6
Zeros562
Zeros (%)52.9%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2024-05-11T14:49:24.422926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q335.1
95-th percentile75.7305
Maximum162.6
Range162.6
Interquartile range (IQR)35.1

Descriptive statistics

Standard deviation28.991288
Coefficient of variation (CV)1.4421791
Kurtosis3.2755518
Mean20.102419
Median Absolute Deviation (MAD)0
Skewness1.7049531
Sum19941.6
Variance840.4948
MonotonicityNot monotonic
2024-05-11T14:49:25.053246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 562
52.9%
53.37 8
 
0.8%
38.4 6
 
0.6%
64.53 6
 
0.6%
21.83 5
 
0.5%
54.48 4
 
0.4%
72.0 4
 
0.4%
23.38 3
 
0.3%
59.1 3
 
0.3%
66.6 3
 
0.3%
Other values (300) 388
36.5%
(Missing) 71
 
6.7%
ValueCountFrequency (%)
0.0 562
52.9%
6.8 1
 
0.1%
11.65 1
 
0.1%
14.6 1
 
0.1%
14.7 1
 
0.1%
15.12 1
 
0.1%
15.6 1
 
0.1%
15.86 2
 
0.2%
16.2 1
 
0.1%
16.36 1
 
0.1%
ValueCountFrequency (%)
162.6 1
0.1%
158.96 2
0.2%
148.5 1
0.1%
139.87 1
0.1%
136.38 1
0.1%
135.7 1
0.1%
135.28 1
0.1%
134.6 1
0.1%
133.49 1
0.1%
122.6 1
0.1%

지정일자
Real number (ℝ)

MISSING 

Distinct927
Distinct (%)93.4%
Missing71
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean19980296
Minimum19590415
Maximum20220314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2024-05-11T14:49:25.287199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19590415
5-th percentile19736105
Q119890320
median19990964
Q320090330
95-th percentile20180411
Maximum20220314
Range629899
Interquartile range (IQR)200009.75

Descriptive statistics

Standard deviation135344.52
Coefficient of variation (CV)0.0067738994
Kurtosis-0.60140302
Mean19980296
Median Absolute Deviation (MAD)100249.5
Skewness-0.35985006
Sum1.9820454 × 1010
Variance1.8318138 × 1010
MonotonicityNot monotonic
2024-05-11T14:49:25.558447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120706 4
 
0.4%
20190401 3
 
0.3%
19730731 3
 
0.3%
19800403 2
 
0.2%
19880609 2
 
0.2%
20070518 2
 
0.2%
19770608 2
 
0.2%
19910110 2
 
0.2%
19900407 2
 
0.2%
19890503 2
 
0.2%
Other values (917) 968
91.1%
(Missing) 71
 
6.7%
ValueCountFrequency (%)
19590415 1
0.1%
19600314 1
0.1%
19630823 1
0.1%
19640108 1
0.1%
19640317 1
0.1%
19641010 2
0.2%
19650923 1
0.1%
19660507 1
0.1%
19670226 1
0.1%
19670607 1
0.1%
ValueCountFrequency (%)
20220314 1
0.1%
20220228 1
0.1%
20220203 2
0.2%
20211215 1
0.1%
20211014 1
0.1%
20210906 1
0.1%
20210830 1
0.1%
20210813 1
0.1%
20210810 1
0.1%
20210730 1
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)약국영업면적지정일자
03110000PHMD11959311003208400000119590415<NA>3폐업3폐업19911016<NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 14번지 14호<NA><NA>황금당약국2008-12-17 14:16:32I2018-08-31 23:59:59.0<NA><NA><NA>0.019590415
13110000PHMD11960311003208400000119600314<NA>3폐업3폐업19940824<NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 14번지 14호<NA><NA>건우피약국2008-12-15 13:29:57I2018-08-31 23:59:59.0<NA><NA><NA>0.019600314
23110000PHMD11963311003208400000119630823<NA>3폐업3폐업20190530<NA><NA><NA>02-355-1976<NA><NA>서울특별시 은평구 불광1동 600번지 2호서울특별시 은평구 불광로2길 8 (불광동)3368삼옥약국2019-05-29 16:44:35U2019-05-31 02:40:00.0<NA>193984.929479456615.7039180.019630823
33110000PHMD11964311003208400000119640108<NA>1영업/정상13영업중<NA><NA><NA><NA>02-355-2039<NA><NA>서울특별시 은평구 대조동 185번지 28호서울특별시 은평구 통일로 843 (대조동)3385영창당약국2014-01-13 10:04:11I2018-08-31 23:59:59.0<NA>192980.191934457346.5313810.019640108
43110000PHMD11964311003208400000219640317<NA>3폐업3폐업20161101<NA><NA><NA>02-355-2896<NA><NA>서울특별시 은평구 녹번동 14번지 1호서울특별시 은평구 통일로 675 (녹번동)3382선일약국2016-11-01 18:13:25I2018-08-31 23:59:59.0<NA>194021.21711456037.78472759.9419640317
53110000PHMD11964311003208400000319641010<NA>3폐업3폐업20140414<NA><NA><NA>02-355-3162<NA><NA>서울특별시 은평구 대조동 6번지 9호서울특별시 은평구 통일로 739 (대조동)122837구생약국2014-04-14 17:41:52I2018-08-31 23:59:59.0<NA>193630.612534456543.8249970.019641010
63110000PHMD11964311003208400000419641010<NA>3폐업3폐업20001123<NA><NA><NA>02-372-8532<NA><NA>서울특별시 은평구 불광동 310번지 89호<NA><NA>연서약국2008-12-15 13:29:57I2018-08-31 23:59:59.0<NA><NA><NA>0.019641010
73110000PHMD11965311003208400000119650923<NA>3폐업3폐업19971215<NA><NA><NA>02-355-8322<NA><NA>서울특별시 은평구 응암2동 427번지 100호<NA><NA>범양약국2008-12-15 13:29:57I2018-08-31 23:59:59.0<NA><NA><NA>0.019650923
83110000PHMD11966311003208400000119660507<NA>3폐업3폐업19990819<NA><NA><NA>02-359-4845<NA><NA>서울특별시 은평구 응암4동 302번지 11호<NA><NA>금보약국2008-12-15 13:29:57I2018-08-31 23:59:59.0<NA><NA><NA>0.019660507
93110000PHMD11967311003208400000119670226<NA>3폐업3폐업20010430<NA><NA><NA>02-359-1686<NA><NA>서울특별시 은평구 불광동 558번지 6호<NA><NA>공동약국2008-12-15 13:29:57I2018-08-31 23:59:59.0<NA><NA><NA>0.019670226
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)약국영업면적지정일자
10533110000PHMD1202331100320840000042023-09-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 수색동 179-10 DMC파인시티자이상가 313호서울특별시 은평구 은평터널로 16, DMC파인시티자이상가 1층 313호 (수색동)3502갑진약국2023-09-22 09:05:25I2022-12-08 22:04:00.0<NA>190892.74562453531.080013<NA><NA>
10543110000PHMD1202331100320840000052023-10-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 불광동 312-24 101호서울특별시 은평구 통일로80길 11, 101호 (불광동)3344달빛약국2023-10-30 16:21:22I2022-11-01 00:01:00.0<NA>193024.159087457534.300365<NA><NA>
10553110000PHMD1202331100320840000062023-11-10<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6382-1500<NA><NA>서울특별시 은평구 수색동 341-6 DMCSK뷰 상가 2동 107호서울특별시 은평구 수색로 322, DMCSK뷰 상가 2동 B5층 107호 (수색동)3488초록빛약국2023-11-10 13:58:40I2022-10-31 23:02:00.0<NA>190470.571087453719.226762<NA><NA>
10563110000PHMD1202431100320840000012024-01-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 불광동 276-32 1층 나-1호서울특별시 은평구 불광로 59, 1층 나-1호 (불광동)3358망고약국2024-01-23 14:21:40I2023-11-30 22:05:00.0<NA>193901.054218456670.84581<NA><NA>
10573110000PHMD1202431100320840000022024-02-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-388-8811<NA><NA>서울특별시 은평구 불광동 314-34 1층서울특별시 은평구 연서로 257, 1층 (불광동)3345365백화점온누리약국2024-02-05 08:54:31I2023-12-02 00:07:00.0<NA>193141.634554457534.574375<NA><NA>
10583110000PHMD1202431100320840000032024-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3158-3603<NA><NA>서울특별시 은평구 대조동 203-1 201호서울특별시 은평구 통일로77길 17, 201호 (대조동)3386꽃내음약국2024-02-27 20:46:08I2023-12-01 22:09:00.0<NA>192991.248283457067.295032<NA><NA>
10593110000PHMD1202431100320840000042024-03-07<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6237-0311<NA><NA>서울특별시 은평구 녹번동 250 101호서울특별시 은평구 은평로 227, 101호 (녹번동)3383참약사우리약국2024-03-07 17:19:21I2023-12-03 00:09:00.0<NA>194016.970071455444.176769<NA><NA>
10603110000PHMD1202431100320840000052024-03-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 갈현동 397 3,6호선 연신내역사무소 311동 113호서울특별시 은평구 통일로 지하849, 3,6호선 연신내역사무소 311동 113호 (갈현동)3330연신내역약국2024-03-26 14:50:12I2023-12-02 22:08:00.0<NA>192942.942317457402.138215<NA><NA>
10613110000PHMD1202431100320840000062024-04-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3157-8813<NA><NA>서울특별시 은평구 갈현동 395-2 효민아크로뷰 C&C미술학원 101호서울특별시 은평구 통일로 871, 101호 (갈현동, 효민아크로뷰 C&C미술학원)3330가온약국2024-04-01 17:51:21I2023-12-04 00:03:00.0<NA>192846.451172457585.366718<NA><NA>
10623110000PHMD1202431100320840000072024-04-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 427-117서울특별시 은평구 응암로 248, 1층 (응암동)3466응암유명약국2024-04-17 17:27:46I2023-12-03 23:09:00.0<NA>192718.148603454630.85259<NA><NA>