Overview

Dataset statistics

Number of variables29
Number of observations1912
Missing cells23180
Missing cells (%)41.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory461.3 KiB
Average record size in memory247.1 B

Variable types

Categorical6
Text6
DateTime5
Unsupported9
Numeric3

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),수리대상 의료기기의 유형,다른 겸업 여부,총규모,영업규모
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-16435/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 1908 (99.8%) missing valuesMissing
폐업일자 has 738 (38.6%) missing valuesMissing
휴업시작일자 has 1912 (100.0%) missing valuesMissing
휴업종료일자 has 1912 (100.0%) missing valuesMissing
재개업일자 has 1912 (100.0%) missing valuesMissing
전화번호 has 1014 (53.0%) missing valuesMissing
소재지면적 has 1912 (100.0%) missing valuesMissing
소재지우편번호 has 1217 (63.7%) missing valuesMissing
지번주소 has 90 (4.7%) missing valuesMissing
도로명주소 has 265 (13.9%) missing valuesMissing
도로명우편번호 has 456 (23.8%) missing valuesMissing
업태구분명 has 1912 (100.0%) missing valuesMissing
좌표정보(X) has 142 (7.4%) missing valuesMissing
좌표정보(Y) has 142 (7.4%) missing valuesMissing
수리대상 의료기기의 유형 has 1912 (100.0%) missing valuesMissing
다른 겸업 여부 has 1912 (100.0%) missing valuesMissing
총규모 has 1912 (100.0%) missing valuesMissing
영업규모 has 1912 (100.0%) missing valuesMissing
관리번호 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
수리대상 의료기기의 유형 is an unsupported type, check if it needs cleaning or further analysisUnsupported
다른 겸업 여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 04:01:30.777538
Analysis finished2024-05-11 04:01:33.673270
Duration2.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
3050000
1912 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3050000
2nd row3050000
3rd row3050000
4th row3050000
5th row3050000

Common Values

ValueCountFrequency (%)
3050000 1912
100.0%

Length

2024-05-11T04:01:33.947308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:01:34.261388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3050000 1912
100.0%

관리번호
Text

UNIQUE 

Distinct1912
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
2024-05-11T04:01:34.715596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters47800
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

Unique1912 ?
Unique (%)100.0%

Sample

1st rowPHMG119823050034047000001
2nd rowPHMG119853050034047000001
3rd rowPHMG119873050034047000001
4th rowPHMG119883050034047000001
5th rowPHMG119883050034047000002
ValueCountFrequency (%)
phmg119823050034047000001 1
 
0.1%
phmg120193050034047000007 1
 
0.1%
phmg120193050034047000022 1
 
0.1%
phmg120193050034047000020 1
 
0.1%
phmg120193050034047000019 1
 
0.1%
phmg120193050034047000018 1
 
0.1%
phmg120193050034047000017 1
 
0.1%
phmg120193050034047000016 1
 
0.1%
phmg120193050034047000015 1
 
0.1%
phmg120193050034047000014 1
 
0.1%
Other values (1902) 1902
99.5%
2024-05-11T04:01:35.861774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17869
37.4%
3 4445
 
9.3%
4 4401
 
9.2%
1 4011
 
8.4%
2 3270
 
6.8%
5 2423
 
5.1%
7 2344
 
4.9%
P 1912
 
4.0%
H 1912
 
4.0%
M 1912
 
4.0%
Other values (4) 3301
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40152
84.0%
Uppercase Letter 7648
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17869
44.5%
3 4445
 
11.1%
4 4401
 
11.0%
1 4011
 
10.0%
2 3270
 
8.1%
5 2423
 
6.0%
7 2344
 
5.8%
6 477
 
1.2%
9 468
 
1.2%
8 444
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
P 1912
25.0%
H 1912
25.0%
M 1912
25.0%
G 1912
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 40152
84.0%
Latin 7648
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 17869
44.5%
3 4445
 
11.1%
4 4401
 
11.0%
1 4011
 
10.0%
2 3270
 
8.1%
5 2423
 
6.0%
7 2344
 
5.8%
6 477
 
1.2%
9 468
 
1.2%
8 444
 
1.1%
Latin
ValueCountFrequency (%)
P 1912
25.0%
H 1912
25.0%
M 1912
25.0%
G 1912
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17869
37.4%
3 4445
 
9.3%
4 4401
 
9.2%
1 4011
 
8.4%
2 3270
 
6.8%
5 2423
 
5.1%
7 2344
 
4.9%
P 1912
 
4.0%
H 1912
 
4.0%
M 1912
 
4.0%
Other values (4) 3301
 
6.9%

인허가일자
Date

Distinct1320
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
Minimum1982-07-22 00:00:00
Maximum2024-05-07 00:00:00
2024-05-11T04:01:36.299728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:01:36.846779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing1908
Missing (%)99.8%
Memory size15.1 KiB
Minimum2022-04-20 00:00:00
Maximum2024-01-15 00:00:00
2024-05-11T04:01:37.329705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:01:37.690821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

영업상태코드
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
3
1079 
1
686 
4
 
95
5
 
52

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1079
56.4%
1 686
35.9%
4 95
 
5.0%
5 52
 
2.7%

Length

2024-05-11T04:01:38.060925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:01:38.371164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1079
56.4%
1 686
35.9%
4 95
 
5.0%
5 52
 
2.7%

영업상태명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
폐업
1079 
영업/정상
686 
취소/말소/만료/정지/중지
 
95
제외/삭제/전출
 
52

Length

Max length14
Median length2
Mean length3.8357741
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1079
56.4%
영업/정상 686
35.9%
취소/말소/만료/정지/중지 95
 
5.0%
제외/삭제/전출 52
 
2.7%

Length

2024-05-11T04:01:38.785476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:01:39.122490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1079
56.4%
영업/정상 686
35.9%
취소/말소/만료/정지/중지 95
 
5.0%
제외/삭제/전출 52
 
2.7%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
3
1079 
13
686 
24
 
95
15
 
48
99
 
4

Length

Max length2
Median length1
Mean length1.4356695
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1079
56.4%
13 686
35.9%
24 95
 
5.0%
15 48
 
2.5%
99 4
 
0.2%

Length

2024-05-11T04:01:39.743888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:01:40.093219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1079
56.4%
13 686
35.9%
24 95
 
5.0%
15 48
 
2.5%
99 4
 
0.2%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
폐업
1079 
영업중
686 
직권폐업
 
95
전출
 
48
삭제
 
4

Length

Max length4
Median length2
Mean length2.458159
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1079
56.4%
영업중 686
35.9%
직권폐업 95
 
5.0%
전출 48
 
2.5%
삭제 4
 
0.2%

Length

2024-05-11T04:01:40.521877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:01:40.849072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1079
56.4%
영업중 686
35.9%
직권폐업 95
 
5.0%
전출 48
 
2.5%
삭제 4
 
0.2%

폐업일자
Date

MISSING 

Distinct765
Distinct (%)65.2%
Missing738
Missing (%)38.6%
Memory size15.1 KiB
Minimum2008-11-12 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T04:01:41.266296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:01:41.686230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1912
Missing (%)100.0%
Memory size16.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1912
Missing (%)100.0%
Memory size16.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1912
Missing (%)100.0%
Memory size16.9 KiB

전화번호
Text

MISSING 

Distinct858
Distinct (%)95.5%
Missing1014
Missing (%)53.0%
Memory size15.1 KiB
2024-05-11T04:01:42.401145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length10.552339
Min length7

Characters and Unicode

Total characters9476
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique822 ?
Unique (%)91.5%

Sample

1st row02-966-1110
2nd row02-922-4500
3rd row02-922-7606
4th row02-924-5413
5th row02-2214-3136
ValueCountFrequency (%)
2248-4985 3
 
0.3%
2215-3080 3
 
0.3%
02-966-0090 3
 
0.3%
02-757-4454 3
 
0.3%
02-928-5286 2
 
0.2%
02-2216-2579 2
 
0.2%
02-953-0251 2
 
0.2%
02-2235-8083 2
 
0.2%
2243-9740 2
 
0.2%
969-8049 2
 
0.2%
Other values (849) 875
97.3%
2024-05-11T04:01:43.889665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1737
18.3%
- 1456
15.4%
0 1236
13.0%
9 747
7.9%
1 658
 
6.9%
4 643
 
6.8%
6 622
 
6.6%
7 620
 
6.5%
5 618
 
6.5%
3 614
 
6.5%
Other values (5) 525
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8004
84.5%
Dash Punctuation 1456
 
15.4%
Close Punctuation 8
 
0.1%
Math Symbol 6
 
0.1%
Other Punctuation 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1737
21.7%
0 1236
15.4%
9 747
9.3%
1 658
 
8.2%
4 643
 
8.0%
6 622
 
7.8%
7 620
 
7.7%
5 618
 
7.7%
3 614
 
7.7%
8 509
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 1456
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9476
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1737
18.3%
- 1456
15.4%
0 1236
13.0%
9 747
7.9%
1 658
 
6.9%
4 643
 
6.8%
6 622
 
6.6%
7 620
 
6.5%
5 618
 
6.5%
3 614
 
6.5%
Other values (5) 525
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9476
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1737
18.3%
- 1456
15.4%
0 1236
13.0%
9 747
7.9%
1 658
 
6.9%
4 643
 
6.8%
6 622
 
6.6%
7 620
 
6.5%
5 618
 
6.5%
3 614
 
6.5%
Other values (5) 525
 
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1912
Missing (%)100.0%
Memory size16.9 KiB

소재지우편번호
Text

MISSING 

Distinct111
Distinct (%)16.0%
Missing1217
Missing (%)63.7%
Memory size15.1 KiB
2024-05-11T04:01:44.470181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0230216
Min length6

Characters and Unicode

Total characters4186
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

Unique41 ?
Unique (%)5.9%

Sample

1st row130851
2nd row130820
3rd row130867
4th row130820
5th row130851
ValueCountFrequency (%)
130845 130
 
18.7%
130864 35
 
5.0%
130851 26
 
3.7%
130823 25
 
3.6%
130867 23
 
3.3%
130805 22
 
3.2%
130842 22
 
3.2%
130820 19
 
2.7%
130840 19
 
2.7%
130844 18
 
2.6%
Other values (101) 356
51.2%
2024-05-11T04:01:45.466138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 885
21.1%
1 837
20.0%
3 789
18.8%
8 656
15.7%
4 308
 
7.4%
5 223
 
5.3%
7 148
 
3.5%
2 147
 
3.5%
6 133
 
3.2%
9 44
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4170
99.6%
Dash Punctuation 16
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 885
21.2%
1 837
20.1%
3 789
18.9%
8 656
15.7%
4 308
 
7.4%
5 223
 
5.3%
7 148
 
3.5%
2 147
 
3.5%
6 133
 
3.2%
9 44
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4186
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 885
21.1%
1 837
20.0%
3 789
18.8%
8 656
15.7%
4 308
 
7.4%
5 223
 
5.3%
7 148
 
3.5%
2 147
 
3.5%
6 133
 
3.2%
9 44
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4186
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 885
21.1%
1 837
20.0%
3 789
18.8%
8 656
15.7%
4 308
 
7.4%
5 223
 
5.3%
7 148
 
3.5%
2 147
 
3.5%
6 133
 
3.2%
9 44
 
1.1%

지번주소
Text

MISSING 

Distinct858
Distinct (%)47.1%
Missing90
Missing (%)4.7%
Memory size15.1 KiB
2024-05-11T04:01:45.957744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44
Mean length27.462678
Min length12

Characters and Unicode

Total characters50037
Distinct characters317
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

Unique621 ?
Unique (%)34.1%

Sample

1st row서울특별시 동대문구 전농*동 ***번지 **호 *층
2nd row서울특별시 동대문구 용두동 ***번지 **호
3rd row서울특별시 동대문구 용두동 ***번지 **호 *층
4th row서울특별시 동대문구 용두*동 ***-**
5th row서울특별시 동대문구 휘경*동 ***-*
ValueCountFrequency (%)
서울특별시 1818
18.1%
동대문구 1818
18.1%
호 1326
13.2%
번지 1089
10.8%
602
 
6.0%
층 520
 
5.2%
장안동 387
 
3.8%
용두동 238
 
2.4%
장안*동 230
 
2.3%
제기동 176
 
1.7%
Other values (512) 1868
18.5%
2024-05-11T04:01:46.961509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 9994
20.0%
8274
16.5%
동 3908
 
7.8%
문 1941
 
3.9%
대 1897
 
3.8%
시 1836
 
3.7%
서 1833
 
3.7%
울 1826
 
3.6%
구 1819
 
3.6%
특 1818
 
3.6%
Other values (307) 14891
29.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30506
61.0%
Other Punctuation 10060
 
20.1%
Space Separator 8274
 
16.5%
Dash Punctuation 646
 
1.3%
Decimal Number 183
 
0.4%
Close Punctuation 127
 
0.3%
Open Punctuation 127
 
0.3%
Uppercase Letter 86
 
0.2%
Lowercase Letter 25
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3908
 
12.8%
문 1941
 
6.4%
대 1897
 
6.2%
시 1836
 
6.0%
서 1833
 
6.0%
울 1826
 
6.0%
구 1819
 
6.0%
특 1818
 
6.0%
별 1818
 
6.0%
호 1423
 
4.7%
Other values (256) 10387
34.0%
Uppercase Letter
ValueCountFrequency (%)
A 15
17.4%
B 10
11.6%
S 8
 
9.3%
K 6
 
7.0%
W 5
 
5.8%
G 4
 
4.7%
O 4
 
4.7%
D 4
 
4.7%
N 4
 
4.7%
C 3
 
3.5%
Other values (11) 23
26.7%
Lowercase Letter
ValueCountFrequency (%)
e 7
28.0%
s 5
20.0%
t 3
12.0%
b 2
 
8.0%
l 2
 
8.0%
p 1
 
4.0%
o 1
 
4.0%
h 1
 
4.0%
k 1
 
4.0%
w 1
 
4.0%
Decimal Number
ValueCountFrequency (%)
1 39
21.3%
3 25
13.7%
4 22
12.0%
9 19
10.4%
2 18
9.8%
8 16
8.7%
7 14
 
7.7%
6 11
 
6.0%
5 10
 
5.5%
0 9
 
4.9%
Other Punctuation
ValueCountFrequency (%)
* 9994
99.3%
, 63
 
0.6%
. 2
 
< 0.1%
/ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
8274
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 646
100.0%
Close Punctuation
ValueCountFrequency (%)
) 127
100.0%
Open Punctuation
ValueCountFrequency (%)
( 127
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30506
61.0%
Common 19420
38.8%
Latin 111
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3908
 
12.8%
문 1941
 
6.4%
대 1897
 
6.2%
시 1836
 
6.0%
서 1833
 
6.0%
울 1826
 
6.0%
구 1819
 
6.0%
특 1818
 
6.0%
별 1818
 
6.0%
호 1423
 
4.7%
Other values (256) 10387
34.0%
Latin
ValueCountFrequency (%)
A 15
 
13.5%
B 10
 
9.0%
S 8
 
7.2%
e 7
 
6.3%
K 6
 
5.4%
W 5
 
4.5%
s 5
 
4.5%
G 4
 
3.6%
O 4
 
3.6%
D 4
 
3.6%
Other values (22) 43
38.7%
Common
ValueCountFrequency (%)
* 9994
51.5%
8274
42.6%
- 646
 
3.3%
) 127
 
0.7%
( 127
 
0.7%
, 63
 
0.3%
1 39
 
0.2%
3 25
 
0.1%
4 22
 
0.1%
9 19
 
0.1%
Other values (9) 84
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30506
61.0%
ASCII 19531
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 9994
51.2%
8274
42.4%
- 646
 
3.3%
) 127
 
0.7%
( 127
 
0.7%
, 63
 
0.3%
1 39
 
0.2%
3 25
 
0.1%
4 22
 
0.1%
9 19
 
0.1%
Other values (41) 195
 
1.0%
Hangul
ValueCountFrequency (%)
동 3908
 
12.8%
문 1941
 
6.4%
대 1897
 
6.2%
시 1836
 
6.0%
서 1833
 
6.0%
울 1826
 
6.0%
구 1819
 
6.0%
특 1818
 
6.0%
별 1818
 
6.0%
호 1423
 
4.7%
Other values (256) 10387
34.0%

도로명주소
Text

MISSING 

Distinct1155
Distinct (%)70.1%
Missing265
Missing (%)13.9%
Memory size15.1 KiB
2024-05-11T04:01:47.492781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length54
Mean length34.176685
Min length18

Characters and Unicode

Total characters56289
Distinct characters344
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

Unique914 ?
Unique (%)55.5%

Sample

1st row서울특별시 동대문구 왕산로 ***, *층 (전농동)
2nd row서울특별시 동대문구 왕산로**길 **-* (용두동)
3rd row서울특별시 동대문구 왕산로**길 ** (용두동,*층)
4th row서울특별시 동대문구 왕산로 ***, *층 (청량리동)
5th row서울특별시 동대문구 천호대로 **-* (용두동,*층)
ValueCountFrequency (%)
서울특별시 1647
15.2%
동대문구 1645
15.2%
1617
14.9%
층 889
 
8.2%
호 688
 
6.4%
장안동 438
 
4.0%
용두동 214
 
2.0%
왕산로 197
 
1.8%
제기동 172
 
1.6%
답십리동 162
 
1.5%
Other values (718) 3149
29.1%
2024-05-11T04:01:48.539438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9172
16.3%
* 8713
 
15.5%
동 3538
 
6.3%
대 2024
 
3.6%
, 1926
 
3.4%
문 1832
 
3.3%
시 1723
 
3.1%
서 1705
 
3.0%
울 1691
 
3.0%
( 1662
 
3.0%
Other values (334) 22303
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32522
57.8%
Other Punctuation 10642
 
18.9%
Space Separator 9172
 
16.3%
Open Punctuation 1662
 
3.0%
Close Punctuation 1662
 
3.0%
Dash Punctuation 240
 
0.4%
Decimal Number 229
 
0.4%
Uppercase Letter 119
 
0.2%
Lowercase Letter 26
 
< 0.1%
Math Symbol 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3538
 
10.9%
대 2024
 
6.2%
문 1832
 
5.6%
시 1723
 
5.3%
서 1705
 
5.2%
울 1691
 
5.2%
별 1647
 
5.1%
특 1647
 
5.1%
구 1645
 
5.1%
로 1645
 
5.1%
Other values (284) 13425
41.3%
Uppercase Letter
ValueCountFrequency (%)
B 29
24.4%
A 17
14.3%
S 14
11.8%
K 9
 
7.6%
C 7
 
5.9%
R 6
 
5.0%
N 4
 
3.4%
T 4
 
3.4%
W 4
 
3.4%
Y 3
 
2.5%
Other values (10) 22
18.5%
Lowercase Letter
ValueCountFrequency (%)
e 8
30.8%
s 4
15.4%
t 3
 
11.5%
b 2
 
7.7%
l 2
 
7.7%
p 2
 
7.7%
h 1
 
3.8%
o 1
 
3.8%
a 1
 
3.8%
w 1
 
3.8%
Decimal Number
ValueCountFrequency (%)
1 59
25.8%
2 38
16.6%
0 26
11.4%
3 21
 
9.2%
4 18
 
7.9%
5 17
 
7.4%
8 15
 
6.6%
7 14
 
6.1%
6 12
 
5.2%
9 9
 
3.9%
Other Punctuation
ValueCountFrequency (%)
* 8713
81.9%
, 1926
 
18.1%
. 2
 
< 0.1%
? 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
9172
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1662
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1662
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 240
100.0%
Math Symbol
ValueCountFrequency (%)
~ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32522
57.8%
Common 23622
42.0%
Latin 145
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3538
 
10.9%
대 2024
 
6.2%
문 1832
 
5.6%
시 1723
 
5.3%
서 1705
 
5.2%
울 1691
 
5.2%
별 1647
 
5.1%
특 1647
 
5.1%
구 1645
 
5.1%
로 1645
 
5.1%
Other values (284) 13425
41.3%
Latin
ValueCountFrequency (%)
B 29
20.0%
A 17
 
11.7%
S 14
 
9.7%
K 9
 
6.2%
e 8
 
5.5%
C 7
 
4.8%
R 6
 
4.1%
N 4
 
2.8%
T 4
 
2.8%
s 4
 
2.8%
Other values (21) 43
29.7%
Common
ValueCountFrequency (%)
9172
38.8%
* 8713
36.9%
, 1926
 
8.2%
( 1662
 
7.0%
) 1662
 
7.0%
- 240
 
1.0%
1 59
 
0.2%
2 38
 
0.2%
0 26
 
0.1%
3 21
 
0.1%
Other values (9) 103
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32522
57.8%
ASCII 23767
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9172
38.6%
* 8713
36.7%
, 1926
 
8.1%
( 1662
 
7.0%
) 1662
 
7.0%
- 240
 
1.0%
1 59
 
0.2%
2 38
 
0.2%
B 29
 
0.1%
0 26
 
0.1%
Other values (40) 240
 
1.0%
Hangul
ValueCountFrequency (%)
동 3538
 
10.9%
대 2024
 
6.2%
문 1832
 
5.6%
시 1723
 
5.3%
서 1705
 
5.2%
울 1691
 
5.2%
별 1647
 
5.1%
특 1647
 
5.1%
구 1645
 
5.1%
로 1645
 
5.1%
Other values (284) 13425
41.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct254
Distinct (%)17.4%
Missing456
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean17005.601
Minimum2400
Maximum130883
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.9 KiB
2024-05-11T04:01:49.021509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2400
5-th percentile2443.75
Q12528.75
median2582
Q32628
95-th percentile130844.25
Maximum130883
Range128483
Interquartile range (IQR)99.25

Descriptive statistics

Standard deviation40561.189
Coefficient of variation (CV)2.3851665
Kurtosis4.0229228
Mean17005.601
Median Absolute Deviation (MAD)50
Skewness2.4530311
Sum24760155
Variance1.64521 × 109
MonotonicityNot monotonic
2024-05-11T04:01:49.485193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2624 54
 
2.8%
2585 33
 
1.7%
2570 31
 
1.6%
2633 26
 
1.4%
2625 24
 
1.3%
2622 24
 
1.3%
2644 23
 
1.2%
2555 22
 
1.2%
2645 22
 
1.2%
2586 22
 
1.2%
Other values (244) 1175
61.5%
(Missing) 456
 
23.8%
ValueCountFrequency (%)
2400 1
 
0.1%
2406 4
0.2%
2407 4
0.2%
2409 5
0.3%
2410 1
 
0.1%
2412 4
0.2%
2418 4
0.2%
2419 6
0.3%
2423 3
0.2%
2425 2
 
0.1%
ValueCountFrequency (%)
130883 3
 
0.2%
130878 2
 
0.1%
130876 5
0.3%
130875 1
 
0.1%
130872 3
 
0.2%
130870 9
0.5%
130869 1
 
0.1%
130867 12
0.6%
130866 1
 
0.1%
130865 3
 
0.2%

사업장명
Text

Distinct1792
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
2024-05-11T04:01:50.152825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length21
Mean length7.9382845
Min length2

Characters and Unicode

Total characters15178
Distinct characters586
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1682 ?
Unique (%)88.0%

Sample

1st row새청량치과재료
2nd row혜원종합상사
3rd row유림상사
4th row대영메디칼
5th row삼진의료기
ValueCountFrequency (%)
씨유 112
 
4.3%
주)코리아세븐 91
 
3.5%
주식회사 86
 
3.3%
지에스25 62
 
2.4%
세븐일레븐 32
 
1.2%
청량리점 21
 
0.8%
지에스(gs)25 17
 
0.7%
장안점 10
 
0.4%
씨제이올리브영(주 9
 
0.3%
이마트24 9
 
0.3%
Other values (1850) 2164
82.8%
2024-05-11T04:01:51.227454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
702
 
4.6%
점 517
 
3.4%
주 512
 
3.4%
( 504
 
3.3%
) 504
 
3.3%
이 493
 
3.2%
스 462
 
3.0%
리 407
 
2.7%
디 338
 
2.2%
메 337
 
2.2%
Other values (576) 10402
68.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12701
83.7%
Space Separator 702
 
4.6%
Open Punctuation 504
 
3.3%
Close Punctuation 504
 
3.3%
Uppercase Letter 285
 
1.9%
Decimal Number 272
 
1.8%
Lowercase Letter 111
 
0.7%
Other Symbol 63
 
0.4%
Other Punctuation 27
 
0.2%
Dash Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 517
 
4.1%
주 512
 
4.0%
이 493
 
3.9%
스 462
 
3.6%
리 407
 
3.2%
디 338
 
2.7%
메 337
 
2.7%
에 292
 
2.3%
아 235
 
1.9%
지 226
 
1.8%
Other values (515) 8882
69.9%
Uppercase Letter
ValueCountFrequency (%)
S 60
21.1%
G 40
14.0%
M 17
 
6.0%
D 17
 
6.0%
H 17
 
6.0%
A 14
 
4.9%
B 13
 
4.6%
K 11
 
3.9%
O 11
 
3.9%
J 10
 
3.5%
Other values (13) 75
26.3%
Lowercase Letter
ValueCountFrequency (%)
e 16
14.4%
o 12
10.8%
l 11
9.9%
a 11
9.9%
n 8
 
7.2%
i 8
 
7.2%
c 7
 
6.3%
d 6
 
5.4%
m 6
 
5.4%
t 5
 
4.5%
Other values (10) 21
18.9%
Decimal Number
ValueCountFrequency (%)
2 115
42.3%
5 101
37.1%
1 17
 
6.2%
3 14
 
5.1%
4 13
 
4.8%
0 7
 
2.6%
7 4
 
1.5%
6 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 18
66.7%
& 4
 
14.8%
, 4
 
14.8%
? 1
 
3.7%
Other Symbol
ValueCountFrequency (%)
㈜ 62
98.4%
℃ 1
 
1.6%
Space Separator
ValueCountFrequency (%)
702
100.0%
Open Punctuation
ValueCountFrequency (%)
( 504
100.0%
Close Punctuation
ValueCountFrequency (%)
) 504
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12763
84.1%
Common 2019
 
13.3%
Latin 396
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 517
 
4.1%
주 512
 
4.0%
이 493
 
3.9%
스 462
 
3.6%
리 407
 
3.2%
디 338
 
2.6%
메 337
 
2.6%
에 292
 
2.3%
아 235
 
1.8%
지 226
 
1.8%
Other values (516) 8944
70.1%
Latin
ValueCountFrequency (%)
S 60
 
15.2%
G 40
 
10.1%
M 17
 
4.3%
D 17
 
4.3%
H 17
 
4.3%
e 16
 
4.0%
A 14
 
3.5%
B 13
 
3.3%
o 12
 
3.0%
l 11
 
2.8%
Other values (33) 179
45.2%
Common
ValueCountFrequency (%)
702
34.8%
( 504
25.0%
) 504
25.0%
2 115
 
5.7%
5 101
 
5.0%
. 18
 
0.9%
1 17
 
0.8%
3 14
 
0.7%
4 13
 
0.6%
- 9
 
0.4%
Other values (7) 22
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12701
83.7%
ASCII 2414
 
15.9%
None 62
 
0.4%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
702
29.1%
( 504
20.9%
) 504
20.9%
2 115
 
4.8%
5 101
 
4.2%
S 60
 
2.5%
G 40
 
1.7%
. 18
 
0.7%
M 17
 
0.7%
D 17
 
0.7%
Other values (49) 336
13.9%
Hangul
ValueCountFrequency (%)
점 517
 
4.1%
주 512
 
4.0%
이 493
 
3.9%
스 462
 
3.6%
리 407
 
3.2%
디 338
 
2.7%
메 337
 
2.7%
에 292
 
2.3%
아 235
 
1.9%
지 226
 
1.8%
Other values (515) 8882
69.9%
None
ValueCountFrequency (%)
㈜ 62
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

최종수정일자
Date

Distinct1907
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
Minimum2008-12-01 19:11:43
Maximum2024-05-08 15:28:13
2024-05-11T04:01:51.790576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:01:52.243734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
I
1304 
U
608 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1304
68.2%
U 608
31.8%

Length

2024-05-11T04:01:52.686176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:01:53.102270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1304
68.2%
u 608
31.8%

데이터갱신일자
Date

Distinct540
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T04:01:53.491861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:01:53.975332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1912
Missing (%)100.0%
Memory size16.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct966
Distinct (%)54.6%
Missing142
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean204658.07
Minimum202002.23
Maximum222002.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.9 KiB
2024-05-11T04:01:54.613659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202002.23
5-th percentile202404.2
Q1203381.88
median204958.74
Q3205787.11
95-th percentile206255.54
Maximum222002.62
Range20000.388
Interquartile range (IQR)2405.2298

Descriptive statistics

Standard deviation1354.3946
Coefficient of variation (CV)0.006617841
Kurtosis13.805967
Mean204658.07
Median Absolute Deviation (MAD)936.1278
Skewness0.7836588
Sum3.6224479 × 108
Variance1834384.7
MonotonicityNot monotonic
2024-05-11T04:01:55.132873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205787.106208763 118
 
6.2%
204081.282117393 25
 
1.3%
203075.098504907 24
 
1.3%
206101.9138443 19
 
1.0%
204089.817117361 18
 
0.9%
206009.495097994 15
 
0.8%
206090.434292925 14
 
0.7%
205428.921463301 14
 
0.7%
204884.796367996 12
 
0.6%
202474.62650398 11
 
0.6%
Other values (956) 1500
78.5%
(Missing) 142
 
7.4%
ValueCountFrequency (%)
202002.228871471 1
 
0.1%
202015.545412217 1
 
0.1%
202023.921749857 2
0.1%
202033.22548938 4
0.2%
202036.453390905 1
 
0.1%
202042.817335648 1
 
0.1%
202056.089579192 1
 
0.1%
202056.394367168 3
0.2%
202061.169089769 1
 
0.1%
202081.516316998 1
 
0.1%
ValueCountFrequency (%)
222002.617226059 1
 
0.1%
206637.16421148 1
 
0.1%
206603.429234746 1
 
0.1%
206603.229942876 1
 
0.1%
206590.046202018 7
0.4%
206586.572428103 3
0.2%
206538.84863498 1
 
0.1%
206521.405320134 3
0.2%
206502.751884821 2
 
0.1%
206484.233644024 5
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct969
Distinct (%)54.7%
Missing142
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean452643.98
Minimum451011.19
Maximum462041.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.9 KiB
2024-05-11T04:01:55.736676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451011.19
5-th percentile451187.75
Q1451806.85
median452620.03
Q3453187.4
95-th percentile454699.08
Maximum462041.8
Range11030.607
Interquartile range (IQR)1380.5489

Descriptive statistics

Standard deviation1102.466
Coefficient of variation (CV)0.0024356139
Kurtosis2.6738006
Mean452643.98
Median Absolute Deviation (MAD)695.65211
Skewness0.87524771
Sum8.0117984 × 108
Variance1215431.2
MonotonicityNot monotonic
2024-05-11T04:01:56.261639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451191.34653897 118
 
6.2%
453187.395154017 25
 
1.3%
452918.836458244 24
 
1.3%
452155.691148899 19
 
1.0%
453314.135663101 18
 
0.9%
451806.846262685 15
 
0.8%
451103.146980087 14
 
0.7%
452102.733064064 14
 
0.7%
451394.889425203 12
 
0.6%
452684.679816566 11
 
0.6%
Other values (959) 1500
78.5%
(Missing) 142
 
7.4%
ValueCountFrequency (%)
451011.194201757 1
 
0.1%
451020.696425047 1
 
0.1%
451024.506229475 1
 
0.1%
451025.902075739 4
0.2%
451027.075395798 1
 
0.1%
451031.533506626 1
 
0.1%
451031.672241199 3
0.2%
451038.454241239 1
 
0.1%
451042.369315593 2
0.1%
451045.898346812 1
 
0.1%
ValueCountFrequency (%)
462041.800792581 1
 
0.1%
455899.982370316 4
0.2%
455813.713540339 1
 
0.1%
455797.417581881 1
 
0.1%
455790.631069022 1
 
0.1%
455689.903962813 3
0.2%
455681.221589435 1
 
0.1%
455676.187399755 1
 
0.1%
455668.965966434 3
0.2%
455664.615303802 1
 
0.1%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1912
Missing (%)100.0%
Memory size16.9 KiB

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1912
Missing (%)100.0%
Memory size16.9 KiB

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1912
Missing (%)100.0%
Memory size16.9 KiB

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1912
Missing (%)100.0%
Memory size16.9 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
03050000PHMG11982305003404700000119820722<NA>1영업/정상13영업중<NA><NA><NA><NA>02-966-1110<NA>130851서울특별시 동대문구 전농*동 ***번지 **호 *층서울특별시 동대문구 왕산로 ***, *층 (전농동)2554새청량치과재료2012-01-30 18:00:50I2018-08-31 23:59:59.0<NA>204336.790666453473.997871<NA><NA><NA><NA>
13050000PHMG11985305003404700000119850228<NA>3폐업3폐업20190712<NA><NA><NA>02-922-4500<NA><NA>서울특별시 동대문구 용두동 ***번지 **호서울특별시 동대문구 왕산로**길 **-* (용두동)2584혜원종합상사2019-07-12 11:15:36U2019-07-14 02:40:00.0<NA>202676.210354452726.706361<NA><NA><NA><NA>
23050000PHMG11987305003404700000119870112<NA>3폐업3폐업20150630<NA><NA><NA>02-922-7606<NA>130820서울특별시 동대문구 용두동 ***번지 **호 *층서울특별시 동대문구 왕산로**길 ** (용두동,*층)<NA>유림상사2015-07-02 11:54:46I2018-08-31 23:59:59.0<NA>202758.390504452624.505588<NA><NA><NA><NA>
33050000PHMG11988305003404700000119880119<NA>3폐업3폐업20110429<NA><NA><NA>02-924-5413<NA><NA>서울특별시 동대문구 용두*동 ***-**<NA><NA>대영메디칼2011-04-29 13:08:27I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
43050000PHMG11988305003404700000219880307<NA>3폐업3폐업20110624<NA><NA><NA>02-2214-3136<NA><NA>서울특별시 동대문구 휘경*동 ***-*<NA><NA>삼진의료기2011-07-27 14:33:29I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
53050000PHMG11988305003404700000319880923<NA>3폐업3폐업20101230<NA><NA><NA>02-965-7428<NA><NA>서울특별시 동대문구 제기동 ****-*,*<NA><NA>약전상사2010-12-30 09:49:59I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
63050000PHMG11991305003404700000119910610<NA>1영업/정상13영업중<NA><NA><NA><NA>02-966-0088<NA>130867서울특별시 동대문구 청량리동 ***번지 *호 *층서울특별시 동대문구 왕산로 ***, *층 (청량리동)2490고려보청기2008-12-01 19:11:45I2018-08-31 23:59:59.0<NA>204044.817626453240.714916<NA><NA><NA><NA>
73050000PHMG11992305003404700000119920111<NA>3폐업3폐업20130426<NA><NA><NA>02-962-1241<NA><NA>서울특별시 동대문구 제기*동 ****(*층)<NA><NA>태원상사2013-04-26 16:39:07I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
83050000PHMG11992305003404700000219920609<NA>3폐업3폐업20170104<NA><NA><NA>02-969-9277<NA>130820서울특별시 동대문구 용두동 ***번지 **호 *층서울특별시 동대문구 천호대로 **-* (용두동,*층)<NA>한스메디칼2017-01-04 14:23:44I2018-08-31 23:59:59.0<NA>202686.982637452454.050086<NA><NA><NA><NA>
93050000PHMG11992305003404700000319921102<NA>3폐업3폐업20140409<NA><NA><NA>02-966-8519<NA>130851서울특별시 동대문구 전농동 ***번지 **호 *층서울특별시 동대문구 왕산로 ***-*, *층 (전농동)130851동일치과 재료상사2014-04-28 13:26:10I2018-08-31 23:59:59.0<NA>204266.770374453404.9347<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
19023050000PHMG1202430500340470000152024-03-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 전농동 **-* 전농동하우스토리서울특별시 동대문구 사가정로 ***, 전농동하우스토리 ***호 (전농동)2531하나히어링보청기 동대문센터2024-04-03 11:48:36U2023-12-04 00:05:00.0<NA>205102.874916452765.708983<NA><NA><NA><NA>
19033050000PHMG1202430500340470000162024-03-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 청량리동 ***-** 미주아파트서울특별시 동대문구 약령시로 ***, *동 ***호 (청량리동, 미주아파트)2490지오노블2024-03-25 14:57:22I2023-12-02 22:07:00.0<NA>203981.600387453350.907843<NA><NA><NA><NA>
19043050000PHMG1202430500340470000172024-03-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 청량리동 **-* 세종빌딩서울특별시 동대문구 제기로**길 **, 세종빌딩 *층 (청량리동)2488솔고 헬스케어2024-03-27 11:32:38I2023-12-02 22:09:00.0<NA>204282.878492453570.891988<NA><NA><NA><NA>
19053050000PHMG1202430500340470000182024-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 용두동 ***-**서울특별시 동대문구 천호대로**길 **, *층 ***호 (용두동)2584(주)뉴젠파마코리아2024-03-28 15:30:40I2023-12-02 21:00:00.0<NA>202759.398422452746.095519<NA><NA><NA><NA>
19063050000PHMG1202430500340470000192024-03-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 용두동 **-***서울특별시 동대문구 천호대로**길 **, *층 (용두동)2562지에스(GS)25동대문용두2024-03-29 15:28:02I2023-12-02 21:01:00.0<NA>203589.797341452591.266044<NA><NA><NA><NA>
19073050000PHMG1202430500340470000202024-03-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 신설동 ***-** 신설동 지웰홈스서울특별시 동대문구 난계로 ***, ***, ***호 (신설동, 신설동 지웰홈스)2586지에스(GS)25동대문지웰점2024-03-29 15:33:29I2023-12-02 21:01:00.0<NA>202036.453391452307.687696<NA><NA><NA><NA>
19083050000PHMG1202430500340470000212024-04-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 ***서울특별시 동대문구 한천로 ***, *층 (장안동)2529(주)코리아세븐 장안센트럴점2024-04-04 10:52:24I2023-12-04 00:06:00.0<NA>205867.033392452405.471472<NA><NA><NA><NA>
19093050000PHMG1202430500340470000222024-04-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 답십리동 *** 대원빌딩서울특별시 동대문구 한천로 ***-*, 대원빌딩 *층 (답십리동)2610씨유 답십리대림점2024-04-17 16:04:11I2023-12-03 23:09:00.0<NA>205661.548239452069.966458<NA><NA><NA><NA>
19103050000PHMG1202430500340470000232024-04-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 ***-* 장안삼성쉐르빌서울특별시 동대문구 장한로 ***, ***호 (장안동, 장안삼성쉐르빌)2624홈에브리띵2024-04-19 13:58:12I2023-12-03 22:01:00.0<NA>206101.913844452155.691149<NA><NA><NA><NA>
19113050000PHMG1202430500340470000242024-05-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 전농동 ** 전농 SK아파트서울특별시 동대문구 사가정로 ***, *층 (전농동, 전농 SK아파트)2532장디저트2024-05-08 15:22:41I2023-12-04 23:00:00.0<NA>205271.704936452706.897879<NA><NA><NA><NA>