Overview

Dataset statistics

Number of variables29
Number of observations1537
Missing cells17463
Missing cells (%)39.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory370.9 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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-16005/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 989 (64.3%) missing valuesMissing
폐업일자 has 727 (47.3%) missing valuesMissing
휴업시작일자 has 1537 (100.0%) missing valuesMissing
휴업종료일자 has 1537 (100.0%) missing valuesMissing
재개업일자 has 1537 (100.0%) missing valuesMissing
전화번호 has 368 (23.9%) missing valuesMissing
소재지면적 has 1537 (100.0%) missing valuesMissing
소재지우편번호 has 828 (53.9%) missing valuesMissing
지번주소 has 31 (2.0%) missing valuesMissing
도로명주소 has 132 (8.6%) missing valuesMissing
도로명우편번호 has 287 (18.7%) missing valuesMissing
업태구분명 has 1537 (100.0%) missing valuesMissing
좌표정보(X) has 134 (8.7%) missing valuesMissing
좌표정보(Y) has 134 (8.7%) missing valuesMissing
수리대상 의료기기의 유형 has 1537 (100.0%) missing valuesMissing
다른 겸업 여부 has 1537 (100.0%) missing valuesMissing
총규모 has 1537 (100.0%) missing valuesMissing
영업규모 has 1537 (100.0%) 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
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 started2024-04-29 18:48:26.707143
Analysis finished2024-04-29 18:48:27.840360
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
3000000
1537 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 1537
100.0%

Length

2024-04-30T03:48:27.913549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:28.010865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 1537
100.0%

관리번호
Text

UNIQUE 

Distinct1537
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
2024-04-30T03:48:28.169675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters38425
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

Unique1537 ?
Unique (%)100.0%

Sample

1st rowPHMG119743000034047000001
2nd rowPHMG119803000034047000001
3rd rowPHMG119813000034047000001
4th rowPHMG119843000034047000001
5th rowPHMG119843000034047000002
ValueCountFrequency (%)
phmg119743000034047000001 1
 
0.1%
phmg120153000034047000050 1
 
0.1%
phmg120203000034047000013 1
 
0.1%
phmg120203000034047000012 1
 
0.1%
phmg120203000034047000011 1
 
0.1%
phmg120203000034047000010 1
 
0.1%
phmg120203000034047000008 1
 
0.1%
phmg120203000034047000007 1
 
0.1%
phmg120203000034047000006 1
 
0.1%
phmg120203000034047000005 1
 
0.1%
Other values (1527) 1527
99.3%
2024-04-30T03:48:28.465575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16033
41.7%
3 3579
 
9.3%
4 3562
 
9.3%
1 3057
 
8.0%
2 2650
 
6.9%
7 1865
 
4.9%
P 1537
 
4.0%
H 1537
 
4.0%
M 1537
 
4.0%
G 1537
 
4.0%
Other values (4) 1531
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32277
84.0%
Uppercase Letter 6148
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16033
49.7%
3 3579
 
11.1%
4 3562
 
11.0%
1 3057
 
9.5%
2 2650
 
8.2%
7 1865
 
5.8%
9 438
 
1.4%
5 406
 
1.3%
6 354
 
1.1%
8 333
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
P 1537
25.0%
H 1537
25.0%
M 1537
25.0%
G 1537
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32277
84.0%
Latin 6148
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 16033
49.7%
3 3579
 
11.1%
4 3562
 
11.0%
1 3057
 
9.5%
2 2650
 
8.2%
7 1865
 
5.8%
9 438
 
1.4%
5 406
 
1.3%
6 354
 
1.1%
8 333
 
1.0%
Latin
ValueCountFrequency (%)
P 1537
25.0%
H 1537
25.0%
M 1537
25.0%
G 1537
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38425
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16033
41.7%
3 3579
 
9.3%
4 3562
 
9.3%
1 3057
 
8.0%
2 2650
 
6.9%
7 1865
 
4.9%
P 1537
 
4.0%
H 1537
 
4.0%
M 1537
 
4.0%
G 1537
 
4.0%
Other values (4) 1531
 
4.0%

인허가일자
Date

Distinct1186
Distinct (%)77.2%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
Minimum1974-11-18 00:00:00
Maximum2024-04-17 00:00:00
2024-04-30T03:48:28.588484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:48:28.703882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct372
Distinct (%)67.9%
Missing989
Missing (%)64.3%
Memory size12.1 KiB
Minimum2008-12-26 00:00:00
Maximum2023-10-10 00:00:00
2024-04-30T03:48:28.822795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:48:28.947472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
3
770 
1
700 
4
 
40
5
 
27

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 770
50.1%
1 700
45.5%
4 40
 
2.6%
5 27
 
1.8%

Length

2024-04-30T03:48:29.047100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:29.150498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 770
50.1%
1 700
45.5%
4 40
 
2.6%
5 27
 
1.8%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
폐업
770 
영업/정상
700 
취소/말소/만료/정지/중지
 
40
제외/삭제/전출
 
27

Length

Max length14
Median length2
Mean length3.7839948
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 770
50.1%
영업/정상 700
45.5%
취소/말소/만료/정지/중지 40
 
2.6%
제외/삭제/전출 27
 
1.8%

Length

2024-04-30T03:48:29.241116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:29.328606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 770
50.1%
영업/정상 700
45.5%
취소/말소/만료/정지/중지 40
 
2.6%
제외/삭제/전출 27
 
1.8%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
3
770 
13
700 
24
 
40
15
 
26
99
 
1

Length

Max length2
Median length1
Mean length1.4990241
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
3 770
50.1%
13 700
45.5%
24 40
 
2.6%
15 26
 
1.7%
99 1
 
0.1%

Length

2024-04-30T03:48:29.422960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:29.511357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 770
50.1%
13 700
45.5%
24 40
 
2.6%
15 26
 
1.7%
99 1
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
폐업
770 
영업중
700 
직권폐업
 
40
전출
 
26
삭제
 
1

Length

Max length4
Median length2
Mean length2.5074821
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 770
50.1%
영업중 700
45.5%
직권폐업 40
 
2.6%
전출 26
 
1.7%
삭제 1
 
0.1%

Length

2024-04-30T03:48:29.616589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:29.728797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 770
50.1%
영업중 700
45.5%
직권폐업 40
 
2.6%
전출 26
 
1.7%
삭제 1
 
0.1%

폐업일자
Date

MISSING 

Distinct600
Distinct (%)74.1%
Missing727
Missing (%)47.3%
Memory size12.1 KiB
Minimum2007-08-29 00:00:00
Maximum2024-04-15 00:00:00
2024-04-30T03:48:29.834591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:48:29.950322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1537
Missing (%)100.0%
Memory size13.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1537
Missing (%)100.0%
Memory size13.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1537
Missing (%)100.0%
Memory size13.6 KiB

전화번호
Text

MISSING 

Distinct1063
Distinct (%)90.9%
Missing368
Missing (%)23.9%
Memory size12.1 KiB
2024-04-30T03:48:30.175710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length11.211292
Min length2

Characters and Unicode

Total characters13106
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

Unique967 ?
Unique (%)82.7%

Sample

1st row02-732-6891
2nd row02-744-0962
3rd row02-2265-4820
4th row02-2274-3755
5th row02-766-0207
ValueCountFrequency (%)
02-1577-0711 3
 
0.3%
02-762-3444 3
 
0.3%
02-725-9120 3
 
0.3%
02-741-2016 3
 
0.3%
02-396-3875 3
 
0.3%
02-2265-2050 3
 
0.3%
02-379-5390 3
 
0.3%
02-2268-3377 3
 
0.3%
02-747-8508 3
 
0.3%
02-735-6745 3
 
0.3%
Other values (1053) 1139
97.4%
2024-04-30T03:48:30.525285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2277
17.4%
- 2228
17.0%
0 1893
14.4%
7 1523
11.6%
3 891
 
6.8%
6 862
 
6.6%
5 820
 
6.3%
4 803
 
6.1%
1 687
 
5.2%
8 614
 
4.7%
Other values (3) 508
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10874
83.0%
Dash Punctuation 2228
 
17.0%
Math Symbol 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2277
20.9%
0 1893
17.4%
7 1523
14.0%
3 891
 
8.2%
6 862
 
7.9%
5 820
 
7.5%
4 803
 
7.4%
1 687
 
6.3%
8 614
 
5.6%
9 504
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 2228
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13106
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2277
17.4%
- 2228
17.0%
0 1893
14.4%
7 1523
11.6%
3 891
 
6.8%
6 862
 
6.6%
5 820
 
6.3%
4 803
 
6.1%
1 687
 
5.2%
8 614
 
4.7%
Other values (3) 508
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13106
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2277
17.4%
- 2228
17.0%
0 1893
14.4%
7 1523
11.6%
3 891
 
6.8%
6 862
 
6.6%
5 820
 
6.3%
4 803
 
6.1%
1 687
 
5.2%
8 614
 
4.7%
Other values (3) 508
 
3.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1537
Missing (%)100.0%
Memory size13.6 KiB

소재지우편번호
Text

MISSING 

Distinct163
Distinct (%)23.0%
Missing828
Missing (%)53.9%
Memory size12.1 KiB
2024-04-30T03:48:30.837248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0352609
Min length5

Characters and Unicode

Total characters4279
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

Unique70 ?
Unique (%)9.9%

Sample

1st row110110
2nd row110123
3rd row110-123
4th row110890
5th row110853
ValueCountFrequency (%)
110123 64
 
9.0%
110835 38
 
5.4%
110430 22
 
3.1%
110111 22
 
3.1%
110836 21
 
3.0%
110825 19
 
2.7%
110122 19
 
2.7%
110126 18
 
2.5%
110522 16
 
2.3%
110460 16
 
2.3%
Other values (153) 454
64.0%
2024-04-30T03:48:31.245281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1708
39.9%
0 1021
23.9%
8 311
 
7.3%
2 293
 
6.8%
3 289
 
6.8%
4 191
 
4.5%
5 179
 
4.2%
6 102
 
2.4%
7 98
 
2.3%
9 59
 
1.4%
Other values (2) 28
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4251
99.3%
Dash Punctuation 26
 
0.6%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1708
40.2%
0 1021
24.0%
8 311
 
7.3%
2 293
 
6.9%
3 289
 
6.8%
4 191
 
4.5%
5 179
 
4.2%
6 102
 
2.4%
7 98
 
2.3%
9 59
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4279
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1708
39.9%
0 1021
23.9%
8 311
 
7.3%
2 293
 
6.8%
3 289
 
6.8%
4 191
 
4.5%
5 179
 
4.2%
6 102
 
2.4%
7 98
 
2.3%
9 59
 
1.4%
Other values (2) 28
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4279
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1708
39.9%
0 1021
23.9%
8 311
 
7.3%
2 293
 
6.8%
3 289
 
6.8%
4 191
 
4.5%
5 179
 
4.2%
6 102
 
2.4%
7 98
 
2.3%
9 59
 
1.4%
Other values (2) 28
 
0.7%

지번주소
Text

MISSING 

Distinct1103
Distinct (%)73.2%
Missing31
Missing (%)2.0%
Memory size12.1 KiB
2024-04-30T03:48:31.512787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length42
Mean length26.011952
Min length13

Characters and Unicode

Total characters39174
Distinct characters347
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique912 ?
Unique (%)60.6%

Sample

1st row서울특별시 종로구 서린동 *** 영보빌딩 ***호
2nd row서울특별시 종로구 묘동 ***-* 한국금거래소
3rd row서울특별시 종로구 종로*가 ***번지 *호
4th row서울특별시 종로구 종로*가 ***번지 *호 금강빌딩 *층
5th row서울특별시 종로구 인의동 **번지 *호 효성주얼리시티 *동 ***호
ValueCountFrequency (%)
서울특별시 1506
18.0%
종로구 1506
18.0%
호 985
11.7%
번지 838
10.0%
659
 
7.9%
층 402
 
4.8%
종로*가 307
 
3.7%
숭인동 69
 
0.8%
명륜*가 63
 
0.8%
창신동 59
 
0.7%
Other values (553) 1994
23.8%
2024-04-30T03:48:31.891613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 7605
19.4%
6957
17.8%
로 1947
 
5.0%
종 1894
 
4.8%
서 1552
 
4.0%
시 1534
 
3.9%
울 1524
 
3.9%
구 1522
 
3.9%
별 1511
 
3.9%
특 1506
 
3.8%
Other values (337) 11622
29.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23877
61.0%
Other Punctuation 7648
 
19.5%
Space Separator 6957
 
17.8%
Dash Punctuation 432
 
1.1%
Uppercase Letter 107
 
0.3%
Lowercase Letter 79
 
0.2%
Decimal Number 47
 
0.1%
Close Punctuation 12
 
< 0.1%
Open Punctuation 12
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 1947
 
8.2%
종 1894
 
7.9%
서 1552
 
6.5%
시 1534
 
6.4%
울 1524
 
6.4%
구 1522
 
6.4%
별 1511
 
6.3%
특 1506
 
6.3%
동 1205
 
5.0%
호 1060
 
4.4%
Other values (287) 8622
36.1%
Uppercase Letter
ValueCountFrequency (%)
B 44
41.1%
A 8
 
7.5%
D 6
 
5.6%
K 5
 
4.7%
G 5
 
4.7%
C 5
 
4.7%
U 5
 
4.7%
H 5
 
4.7%
Y 5
 
4.7%
S 4
 
3.7%
Other values (8) 15
 
14.0%
Lowercase Letter
ValueCountFrequency (%)
i 16
20.3%
n 12
15.2%
g 10
12.7%
r 7
8.9%
e 6
 
7.6%
a 6
 
7.6%
d 6
 
7.6%
u 5
 
6.3%
l 5
 
6.3%
o 3
 
3.8%
Other values (2) 3
 
3.8%
Decimal Number
ValueCountFrequency (%)
1 19
40.4%
2 5
 
10.6%
3 4
 
8.5%
0 3
 
6.4%
7 3
 
6.4%
6 3
 
6.4%
5 3
 
6.4%
4 3
 
6.4%
9 2
 
4.3%
8 2
 
4.3%
Other Punctuation
ValueCountFrequency (%)
* 7605
99.4%
, 36
 
0.5%
. 4
 
0.1%
/ 2
 
< 0.1%
? 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
6957
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 432
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23877
61.0%
Common 15111
38.6%
Latin 186
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 1947
 
8.2%
종 1894
 
7.9%
서 1552
 
6.5%
시 1534
 
6.4%
울 1524
 
6.4%
구 1522
 
6.4%
별 1511
 
6.3%
특 1506
 
6.3%
동 1205
 
5.0%
호 1060
 
4.4%
Other values (287) 8622
36.1%
Latin
ValueCountFrequency (%)
B 44
23.7%
i 16
 
8.6%
n 12
 
6.5%
g 10
 
5.4%
A 8
 
4.3%
r 7
 
3.8%
e 6
 
3.2%
a 6
 
3.2%
d 6
 
3.2%
D 6
 
3.2%
Other values (20) 65
34.9%
Common
ValueCountFrequency (%)
* 7605
50.3%
6957
46.0%
- 432
 
2.9%
, 36
 
0.2%
1 19
 
0.1%
) 12
 
0.1%
( 12
 
0.1%
2 5
 
< 0.1%
. 4
 
< 0.1%
3 4
 
< 0.1%
Other values (10) 25
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23876
60.9%
ASCII 15297
39.0%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 7605
49.7%
6957
45.5%
- 432
 
2.8%
B 44
 
0.3%
, 36
 
0.2%
1 19
 
0.1%
i 16
 
0.1%
) 12
 
0.1%
( 12
 
0.1%
n 12
 
0.1%
Other values (40) 152
 
1.0%
Hangul
ValueCountFrequency (%)
로 1947
 
8.2%
종 1894
 
7.9%
서 1552
 
6.5%
시 1534
 
6.4%
울 1524
 
6.4%
구 1522
 
6.4%
별 1511
 
6.3%
특 1506
 
6.3%
동 1205
 
5.0%
호 1060
 
4.4%
Other values (286) 8621
36.1%
Compat Jamo
ValueCountFrequency (%)
ㅎ 1
100.0%

도로명주소
Text

MISSING 

Distinct1052
Distinct (%)74.9%
Missing132
Missing (%)8.6%
Memory size12.1 KiB
2024-04-30T03:48:32.177129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length48
Mean length32.817794
Min length21

Characters and Unicode

Total characters46109
Distinct characters355
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

Unique884 ?
Unique (%)62.9%

Sample

1st row서울특별시 종로구 돈화문로 **-*, 한양B *층 (묘동)
2nd row서울특별시 종로구 돈화문로*길 ** (종로*가)
3rd row서울특별시 종로구 종로 ***, *층 (종로*가)
4th row서울특별시 종로구 종로 ***, *동 ***호 (인의동, 효성주얼리시티)
5th row서울특별시 종로구 종로 ***-* (종로*가)
ValueCountFrequency (%)
서울특별시 1405
15.3%
종로구 1402
15.3%
1394
15.2%
층 620
 
6.8%
호 574
 
6.3%
종로 307
 
3.3%
종로*가 249
 
2.7%
종로**길 88
 
1.0%
숭인동 81
 
0.9%
창신동 72
 
0.8%
Other values (723) 2975
32.5%
2024-04-30T03:48:32.670566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7765
16.8%
* 7513
16.3%
로 3057
 
6.6%
종 2184
 
4.7%
, 1539
 
3.3%
서 1457
 
3.2%
시 1435
 
3.1%
울 1421
 
3.1%
구 1417
 
3.1%
( 1414
 
3.1%
Other values (345) 16907
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25889
56.1%
Other Punctuation 9059
 
19.6%
Space Separator 7765
 
16.8%
Open Punctuation 1414
 
3.1%
Close Punctuation 1414
 
3.1%
Dash Punctuation 289
 
0.6%
Uppercase Letter 136
 
0.3%
Lowercase Letter 83
 
0.2%
Decimal Number 56
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 3057
 
11.8%
종 2184
 
8.4%
서 1457
 
5.6%
시 1435
 
5.5%
울 1421
 
5.5%
구 1417
 
5.5%
별 1410
 
5.4%
특 1405
 
5.4%
동 1216
 
4.7%
층 744
 
2.9%
Other values (293) 10143
39.2%
Uppercase Letter
ValueCountFrequency (%)
B 54
39.7%
A 15
 
11.0%
C 7
 
5.1%
Y 6
 
4.4%
M 6
 
4.4%
U 6
 
4.4%
K 5
 
3.7%
H 5
 
3.7%
D 5
 
3.7%
G 4
 
2.9%
Other values (10) 23
16.9%
Lowercase Letter
ValueCountFrequency (%)
i 16
19.3%
n 12
14.5%
g 10
12.0%
r 8
9.6%
e 7
8.4%
a 6
 
7.2%
d 6
 
7.2%
u 5
 
6.0%
l 5
 
6.0%
o 4
 
4.8%
Other values (2) 4
 
4.8%
Decimal Number
ValueCountFrequency (%)
1 17
30.4%
2 9
16.1%
0 6
 
10.7%
6 6
 
10.7%
3 6
 
10.7%
4 4
 
7.1%
8 3
 
5.4%
5 3
 
5.4%
9 1
 
1.8%
7 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
* 7513
82.9%
, 1539
 
17.0%
. 4
 
< 0.1%
/ 2
 
< 0.1%
? 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
7765
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1414
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1414
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 289
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25889
56.1%
Common 20001
43.4%
Latin 219
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 3057
 
11.8%
종 2184
 
8.4%
서 1457
 
5.6%
시 1435
 
5.5%
울 1421
 
5.5%
구 1417
 
5.5%
별 1410
 
5.4%
특 1405
 
5.4%
동 1216
 
4.7%
층 744
 
2.9%
Other values (293) 10143
39.2%
Latin
ValueCountFrequency (%)
B 54
24.7%
i 16
 
7.3%
A 15
 
6.8%
n 12
 
5.5%
g 10
 
4.6%
r 8
 
3.7%
C 7
 
3.2%
e 7
 
3.2%
a 6
 
2.7%
d 6
 
2.7%
Other values (22) 78
35.6%
Common
ValueCountFrequency (%)
7765
38.8%
* 7513
37.6%
, 1539
 
7.7%
( 1414
 
7.1%
) 1414
 
7.1%
- 289
 
1.4%
1 17
 
0.1%
2 9
 
< 0.1%
0 6
 
< 0.1%
6 6
 
< 0.1%
Other values (10) 29
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25889
56.1%
ASCII 20220
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7765
38.4%
* 7513
37.2%
, 1539
 
7.6%
( 1414
 
7.0%
) 1414
 
7.0%
- 289
 
1.4%
B 54
 
0.3%
1 17
 
0.1%
i 16
 
0.1%
A 15
 
0.1%
Other values (42) 184
 
0.9%
Hangul
ValueCountFrequency (%)
로 3057
 
11.8%
종 2184
 
8.4%
서 1457
 
5.6%
시 1435
 
5.5%
울 1421
 
5.5%
구 1417
 
5.5%
별 1410
 
5.4%
특 1405
 
5.4%
동 1216
 
4.7%
층 744
 
2.9%
Other values (293) 10143
39.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct223
Distinct (%)17.8%
Missing287
Missing (%)18.7%
Infinite0
Infinite (%)0.0%
Mean12760.797
Minimum3000
Maximum110999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2024-04-30T03:48:32.829646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000
5-th percentile3035
Q13114
median3137
Q33189
95-th percentile110645.6
Maximum110999
Range107999
Interquartile range (IQR)75

Descriptive statistics

Standard deviation30704.627
Coefficient of variation (CV)2.4061685
Kurtosis6.2893639
Mean12760.797
Median Absolute Deviation (MAD)45
Skewness2.8773551
Sum15950996
Variance9.4277414 × 108
MonotonicityNot monotonic
2024-04-30T03:48:32.979661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3193 73
 
4.7%
3132 50
 
3.3%
3190 30
 
2.0%
3126 29
 
1.9%
3134 29
 
1.9%
3139 28
 
1.8%
3189 28
 
1.8%
3129 24
 
1.6%
3157 23
 
1.5%
3173 21
 
1.4%
Other values (213) 915
59.5%
(Missing) 287
 
18.7%
ValueCountFrequency (%)
3000 1
 
0.1%
3001 1
 
0.1%
3004 2
 
0.1%
3007 2
 
0.1%
3008 8
0.5%
3009 5
0.3%
3010 3
 
0.2%
3011 2
 
0.1%
3012 3
 
0.2%
3013 3
 
0.2%
ValueCountFrequency (%)
110999 3
0.2%
110888 1
 
0.1%
110873 1
 
0.1%
110854 1
 
0.1%
110853 2
 
0.1%
110850 2
 
0.1%
110847 2
 
0.1%
110846 1
 
0.1%
110844 1
 
0.1%
110841 6
0.4%

사업장명
Text

Distinct1436
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
2024-04-30T03:48:33.175207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length24
Mean length8.2081978
Min length1

Characters and Unicode

Total characters12616
Distinct characters538
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1346 ?
Unique (%)87.6%

Sample

1st row삼우양행
2nd row장우양행㈜
3rd row미영사
4th row㈜한국보청기
5th row중앙양행
ValueCountFrequency (%)
주식회사 199
 
9.4%
주)코리아세븐 63
 
3.0%
씨유 54
 
2.5%
gs25 35
 
1.6%
세븐일레븐 24
 
1.1%
주)비지에프리테일 13
 
0.6%
cu 11
 
0.5%
주)아성다이소 6
 
0.3%
유한회사 6
 
0.3%
종로점 6
 
0.3%
Other values (1493) 1710
80.4%
2024-04-30T03:48:33.789701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
590
 
4.7%
주 473
 
3.7%
점 400
 
3.2%
사 371
 
2.9%
이 329
 
2.6%
스 289
 
2.3%
) 285
 
2.3%
( 284
 
2.3%
기 282
 
2.2%
로 278
 
2.2%
Other values (528) 9035
71.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10759
85.3%
Space Separator 590
 
4.7%
Uppercase Letter 319
 
2.5%
Close Punctuation 285
 
2.3%
Open Punctuation 284
 
2.3%
Decimal Number 209
 
1.7%
Lowercase Letter 83
 
0.7%
Other Symbol 64
 
0.5%
Other Punctuation 20
 
0.2%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 473
 
4.4%
점 400
 
3.7%
사 371
 
3.4%
이 329
 
3.1%
스 289
 
2.7%
기 282
 
2.6%
로 278
 
2.6%
리 237
 
2.2%
회 227
 
2.1%
종 225
 
2.1%
Other values (470) 7648
71.1%
Uppercase Letter
ValueCountFrequency (%)
S 73
22.9%
G 58
18.2%
C 39
12.2%
U 30
9.4%
I 12
 
3.8%
K 12
 
3.8%
M 11
 
3.4%
B 9
 
2.8%
H 9
 
2.8%
T 9
 
2.8%
Other values (13) 57
17.9%
Lowercase Letter
ValueCountFrequency (%)
o 11
13.3%
e 10
12.0%
n 10
12.0%
a 9
10.8%
r 8
9.6%
t 8
9.6%
i 5
6.0%
l 5
6.0%
p 4
 
4.8%
c 3
 
3.6%
Other values (7) 10
12.0%
Decimal Number
ValueCountFrequency (%)
2 86
41.1%
5 68
32.5%
1 24
 
11.5%
3 8
 
3.8%
4 7
 
3.3%
7 6
 
2.9%
0 3
 
1.4%
8 3
 
1.4%
9 3
 
1.4%
6 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
. 12
60.0%
& 6
30.0%
, 2
 
10.0%
Space Separator
ValueCountFrequency (%)
590
100.0%
Close Punctuation
ValueCountFrequency (%)
) 285
100.0%
Open Punctuation
ValueCountFrequency (%)
( 284
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 64
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10823
85.8%
Common 1391
 
11.0%
Latin 402
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 473
 
4.4%
점 400
 
3.7%
사 371
 
3.4%
이 329
 
3.0%
스 289
 
2.7%
기 282
 
2.6%
로 278
 
2.6%
리 237
 
2.2%
회 227
 
2.1%
종 225
 
2.1%
Other values (471) 7712
71.3%
Latin
ValueCountFrequency (%)
S 73
18.2%
G 58
14.4%
C 39
 
9.7%
U 30
 
7.5%
I 12
 
3.0%
K 12
 
3.0%
M 11
 
2.7%
o 11
 
2.7%
e 10
 
2.5%
n 10
 
2.5%
Other values (30) 136
33.8%
Common
ValueCountFrequency (%)
590
42.4%
) 285
20.5%
( 284
20.4%
2 86
 
6.2%
5 68
 
4.9%
1 24
 
1.7%
. 12
 
0.9%
3 8
 
0.6%
4 7
 
0.5%
7 6
 
0.4%
Other values (7) 21
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10759
85.3%
ASCII 1793
 
14.2%
None 64
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
590
32.9%
) 285
15.9%
( 284
15.8%
2 86
 
4.8%
S 73
 
4.1%
5 68
 
3.8%
G 58
 
3.2%
C 39
 
2.2%
U 30
 
1.7%
1 24
 
1.3%
Other values (47) 256
14.3%
Hangul
ValueCountFrequency (%)
주 473
 
4.4%
점 400
 
3.7%
사 371
 
3.4%
이 329
 
3.1%
스 289
 
2.7%
기 282
 
2.6%
로 278
 
2.6%
리 237
 
2.2%
회 227
 
2.1%
종 225
 
2.1%
Other values (470) 7648
71.1%
None
ValueCountFrequency (%)
㈜ 64
100.0%

최종수정일자
Date

UNIQUE 

Distinct1537
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
Minimum2008-12-26 12:31:42
Maximum2024-04-17 15:56:23
2024-04-30T03:48:33.927289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:48:34.063455image/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 size12.1 KiB
I
1012 
U
525 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1012
65.8%
U 525
34.2%

Length

2024-04-30T03:48:34.161035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:48:34.243132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1012
65.8%
u 525
34.2%

데이터갱신일자
Date

Distinct471
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-04-30T03:48:34.338951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:48:34.476343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1537
Missing (%)100.0%
Memory size13.6 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct785
Distinct (%)56.0%
Missing134
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean199172.63
Minimum195960.55
Maximum201962.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2024-04-30T03:48:34.591165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195960.55
5-th percentile196807.96
Q1198293.88
median199217.84
Q3200073.01
95-th percentile201402.62
Maximum201962.63
Range6002.083
Interquartile range (IQR)1779.1335

Descriptive statistics

Standard deviation1353.1665
Coefficient of variation (CV)0.0067939383
Kurtosis-0.45218244
Mean199172.63
Median Absolute Deviation (MAD)893.18433
Skewness-0.12011611
Sum2.794392 × 108
Variance1831059.7
MonotonicityNot monotonic
2024-04-30T03:48:34.726947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199052.164234663 21
 
1.4%
198970.736456772 21
 
1.4%
198150.300374121 21
 
1.4%
199509.962000656 16
 
1.0%
199321.4036677 15
 
1.0%
198324.653631679 12
 
0.8%
197465.223921125 11
 
0.7%
198913.496136105 10
 
0.7%
198592.597470985 10
 
0.7%
201273.887781838 10
 
0.7%
Other values (775) 1256
81.7%
(Missing) 134
 
8.7%
ValueCountFrequency (%)
195960.546025512 1
 
0.1%
196068.647882438 1
 
0.1%
196079.544115659 3
0.2%
196092.743907822 6
0.4%
196116.651717549 1
 
0.1%
196167.24792167 1
 
0.1%
196167.344360167 1
 
0.1%
196171.32627844 1
 
0.1%
196182.723078058 1
 
0.1%
196188.676804345 1
 
0.1%
ValueCountFrequency (%)
201962.62904341 3
0.2%
201960.951300031 3
0.2%
201949.270716491 1
 
0.1%
201946.86632604 7
0.5%
201926.215502116 1
 
0.1%
201923.40606958 1
 
0.1%
201915.038 1
 
0.1%
201906.350836688 1
 
0.1%
201898.977448681 1
 
0.1%
201882.733697042 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct784
Distinct (%)55.9%
Missing134
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean452531.74
Minimum451543.63
Maximum456763.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2024-04-30T03:48:34.845127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451543.63
5-th percentile451885.86
Q1452021.76
median452253.74
Q3452610.85
95-th percentile454147.55
Maximum456763.88
Range5220.25
Interquartile range (IQR)589.08798

Descriptive statistics

Standard deviation857.80014
Coefficient of variation (CV)0.001895558
Kurtosis7.7997809
Mean452531.74
Median Absolute Deviation (MAD)268.0953
Skewness2.6727851
Sum6.3490203 × 108
Variance735821.08
MonotonicityNot monotonic
2024-04-30T03:48:34.992414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452535.569961658 21
 
1.4%
452534.45478172 21
 
1.4%
452019.212642931 21
 
1.4%
451888.555001545 16
 
1.0%
451985.646550196 15
 
1.0%
452252.812389497 12
 
0.8%
452366.613899898 11
 
0.7%
452190.992738652 10
 
0.7%
452416.170780139 10
 
0.7%
451988.344564027 10
 
0.7%
Other values (774) 1256
81.7%
(Missing) 134
 
8.7%
ValueCountFrequency (%)
451543.629004831 3
0.2%
451678.787536538 3
0.2%
451682.186997114 1
 
0.1%
451683.728773742 1
 
0.1%
451690.419790653 2
0.1%
451707.607115177 1
 
0.1%
451734.282757239 1
 
0.1%
451776.44366444 3
0.2%
451785.296574342 1
 
0.1%
451791.439552661 1
 
0.1%
ValueCountFrequency (%)
456763.878954987 1
 
0.1%
456587.90777321 1
 
0.1%
456510.847272901 1
 
0.1%
456477.932552541 1
 
0.1%
456429.344666667 1
 
0.1%
456414.474751923 1
 
0.1%
456311.979491953 1
 
0.1%
456301.660405803 1
 
0.1%
456211.92274867 1
 
0.1%
456198.595931715 6
0.4%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1537
Missing (%)100.0%
Memory size13.6 KiB

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1537
Missing (%)100.0%
Memory size13.6 KiB

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1537
Missing (%)100.0%
Memory size13.6 KiB

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1537
Missing (%)100.0%
Memory size13.6 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
03000000PHMG11974300003404700000119741118201301073폐업3폐업20121226<NA><NA><NA>02-732-6891<NA>110110서울특별시 종로구 서린동 *** 영보빌딩 ***호<NA><NA>삼우양행2013-01-07 13:11:46I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
13000000PHMG11980300003404700000119801106<NA>3폐업3폐업20111019<NA><NA><NA>02-744-0962<NA><NA>서울특별시 종로구 묘동 ***-* 한국금거래소서울특별시 종로구 돈화문로 **-*, 한양B *층 (묘동)3139장우양행㈜2020-09-15 14:41:15U2020-09-17 02:40:00.0<NA>199186.340951452176.045069<NA><NA><NA><NA>
23000000PHMG11981300003404700000119810404<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2265-4820<NA>110123서울특별시 종로구 종로*가 ***번지 *호서울특별시 종로구 돈화문로*길 ** (종로*가)3193미영사2014-03-04 15:11:05I2018-08-31 23:59:59.0<NA>199362.585131451980.78075<NA><NA><NA><NA>
33000000PHMG1198430000340470000011984-07-07<NA>3폐업3폐업2023-02-02<NA><NA><NA>02-2274-3755<NA>110-123서울특별시 종로구 종로*가 ***번지 *호 금강빌딩 *층서울특별시 종로구 종로 ***, *층 (종로*가)3193㈜한국보청기2023-02-02 14:52:35U2022-12-02 00:04:00.0<NA>199297.760921451990.209151<NA><NA><NA><NA>
43000000PHMG11984300003404700000219841029<NA>1영업/정상13영업중<NA><NA><NA><NA>02-766-0207<NA>110890서울특별시 종로구 인의동 **번지 *호 효성주얼리시티 *동 ***호서울특별시 종로구 종로 ***, *동 ***호 (인의동, 효성주얼리시티)3130중앙양행2014-03-04 15:13:56I2018-08-31 23:59:59.0<NA>199812.609633452132.648344<NA><NA><NA><NA>
53000000PHMG11985300003404700000119850503201503103폐업3폐업20150310<NA><NA><NA>02-2267-0051<NA>110853서울특별시 종로구 종로*가 **번지서울특별시 종로구 종로 ***-* (종로*가)110853현대의료기2015-03-10 13:49:24I2018-08-31 23:59:59.0<NA>199652.486196452012.978553<NA><NA><NA><NA>
63000000PHMG11985300003404700000219850626<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2273-2277<NA>110835서울특별시 종로구 종로*가 **번지 *호 종오지하쇼핑센터 라열*,*호서울특별시 종로구 종로 지하 ***, 라열*,*호 (종로*가)3195동명건강의료기2019-09-04 17:28:18U2019-11-20 02:40:00.0<NA>200102.762131452082.537289<NA><NA><NA><NA>
73000000PHMG11985300003404700000319851031<NA>1영업/정상13영업중<NA><NA><NA><NA>02-730-8441<NA>110778서울특별시 종로구 인사동 ***번지 **호 태화빌딩 *층서울특별시 종로구 인사동*길 ** (인사동,태화빌딩 *층)<NA>에이치디엑스주식회사2020-06-24 13:13:06U2020-06-26 02:40:00.0<NA>198592.597471452190.992739<NA><NA><NA><NA>
83000000PHMG11985300003404700000419851104200902243폐업3폐업20090224<NA><NA><NA>02-2265-8253<NA>110836서울특별시 종로구 종로*가동 ***-*<NA><NA>고려서점2009-02-24 14:32:53I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
93000000PHMG11985300003404700000519851119201501263폐업3폐업20150126<NA><NA><NA>02-734-1302<NA>110111서울특별시 종로구 관철동 **번지 *호서울특별시 종로구 우정국로*길 ** (관철동)110111서울상사2015-01-26 15:39:13I2018-08-31 23:59:59.0<NA>198524.413387451929.43264<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
15273000000PHMG1202430000340470000102024-02-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 창신동 ***-*서울특별시 종로구 창신길 **-*, 지하*층 (창신동)3096동대문봉제천사2024-02-23 13:53:50I2023-12-01 22:05:00.0<NA>200876.37698452594.758473<NA><NA><NA><NA>
15283000000PHMG1202430000340470000112024-02-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 새문안로 **, 정우빌딩 *층 (신문로*가)3182(주)두레온2024-02-26 15:41:32I2023-12-01 22:09:00.0<NA>197680.78008452016.543891<NA><NA><NA><NA>
15293000000PHMG1202430000340470000122024-02-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-723-7711<NA><NA>서울특별시 종로구 필운동 ***서울특별시 종로구 사직로 **, *** 일부호 (필운동)3041좋은일자리연구소2024-02-29 17:09:59I2023-12-03 00:02:00.0<NA>197245.494047452668.607698<NA><NA><NA><NA>
15303000000PHMG1202430000340470000132024-03-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 당주동 ***서울특별시 종로구 세종대로**길 **, *층 ***호 일부***호 (당주동)3182델타기어스(DELTAGEARS)2024-03-20 10:06:45I2023-12-02 22:02:00.0<NA>197607.398336452120.026024<NA><NA><NA><NA>
15313000000PHMG1202430000340470000142024-03-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1577-8007<NA><NA>서울특별시 종로구 효자동 **-*서울특별시 종로구 자하문로 **, *층 (효자동)3042씨유 종로효자점2024-03-19 18:27:07I2023-12-02 22:01:00.0<NA>197342.220895453450.527282<NA><NA><NA><NA>
15323000000PHMG1202430000340470000152024-03-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-389-6866<NA><NA>서울특별시 종로구 효제동 ***서울특별시 종로구 종로**길 **, ***호 (효제동)3126SMAD(스메드)텍스2024-03-28 13:50:47U2023-12-02 21:00:00.0<NA>200278.353783452242.710933<NA><NA><NA><NA>
15333000000PHMG1202430000340470000162024-03-26<NA>3폐업3폐업2024-04-15<NA><NA><NA><NA><NA><NA>서울특별시 종로구 창신동 ***-*서울특별시 종로구 종로**길 **, 오른쪽 일부호 (창신동)3106명품보청기동대문2024-04-15 14:43:22U2023-12-03 23:07:00.0<NA>200971.758907452264.021923<NA><NA><NA><NA>
15343000000PHMG1202430000340470000172024-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 대학로**길 **, 낙산재 *층 (동숭동)3086(주) 비지에프리테일 마로니에공원점2024-04-03 10:35:44I2023-12-04 00:05:00.0<NA>200281.251023453163.856124<NA><NA><NA><NA>
15353000000PHMG1202430000340470000182024-04-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 충신동 ** 힐스테이트 창경궁서울특별시 종로구 율곡로 ***, ***동 ****호 (충신동, 힐스테이트 창경궁)3123유라나2024-04-15 16:52:15I2023-12-03 23:07:00.0<NA>200342.282273452556.296391<NA><NA><NA><NA>
15363000000PHMG1202430000340470000192024-04-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 대학로**길 **, 계우빌딩 *층 ***-J**호 (동숭동)3086지안2024-04-17 15:56:23I2023-12-03 23:09:00.0<NA>200284.07971453238.540021<NA><NA><NA><NA>