Overview

Dataset statistics

Number of variables29
Number of observations3000
Missing cells37044
Missing cells (%)42.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory720.8 KiB
Average record size in memory246.0 B

Variable types

Categorical6
Text6
DateTime6
Unsupported8
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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-16443/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 has constant value ""Constant
휴업종료일자 has constant value ""Constant
인허가취소일자 has 3000 (100.0%) missing valuesMissing
폐업일자 has 1299 (43.3%) missing valuesMissing
휴업시작일자 has 2999 (> 99.9%) missing valuesMissing
휴업종료일자 has 2999 (> 99.9%) missing valuesMissing
재개업일자 has 3000 (100.0%) missing valuesMissing
전화번호 has 1709 (57.0%) missing valuesMissing
소재지면적 has 3000 (100.0%) missing valuesMissing
소재지우편번호 has 1873 (62.4%) missing valuesMissing
지번주소 has 258 (8.6%) missing valuesMissing
도로명주소 has 405 (13.5%) missing valuesMissing
도로명우편번호 has 642 (21.4%) missing valuesMissing
업태구분명 has 3000 (100.0%) missing valuesMissing
좌표정보(X) has 430 (14.3%) missing valuesMissing
좌표정보(Y) has 430 (14.3%) missing valuesMissing
수리대상 의료기기의 유형 has 3000 (100.0%) missing valuesMissing
다른 겸업 여부 has 3000 (100.0%) missing valuesMissing
총규모 has 3000 (100.0%) missing valuesMissing
영업규모 has 3000 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 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 05:27:56.381381
Analysis finished2024-05-11 05:27:58.465885
Duration2.08 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
3130000
3000 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 3000
100.0%

Length

2024-05-11T14:27:58.587875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:58.759391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 3000
100.0%

관리번호
Text

UNIQUE 

Distinct3000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
2024-05-11T14:27:59.080651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters75000
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

Unique3000 ?
Unique (%)100.0%

Sample

1st rowPHMG119843130033047000001
2nd rowPHMG119873130033047000001
3rd rowPHMG119873130033047000002
4th rowPHMG119903130033047000001
5th rowPHMG119923130033047000001
ValueCountFrequency (%)
phmg119843130033047000001 1
 
< 0.1%
phmg120203130033047000220 1
 
< 0.1%
phmg120203130033047000211 1
 
< 0.1%
phmg120213130033047000006 1
 
< 0.1%
phmg120203130033047000212 1
 
< 0.1%
phmg120203130033047000213 1
 
< 0.1%
phmg120203130033047000214 1
 
< 0.1%
phmg120203130033047000216 1
 
< 0.1%
phmg120203130033047000217 1
 
< 0.1%
phmg120203130033047000218 1
 
< 0.1%
Other values (2990) 2990
99.7%
2024-05-11T14:27:59.667857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 24501
32.7%
3 13078
17.4%
1 8942
 
11.9%
2 5644
 
7.5%
4 4000
 
5.3%
7 3744
 
5.0%
P 3000
 
4.0%
H 3000
 
4.0%
M 3000
 
4.0%
G 3000
 
4.0%
Other values (4) 3091
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 63000
84.0%
Uppercase Letter 12000
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 24501
38.9%
3 13078
20.8%
1 8942
 
14.2%
2 5644
 
9.0%
4 4000
 
6.3%
7 3744
 
5.9%
5 814
 
1.3%
9 783
 
1.2%
6 768
 
1.2%
8 726
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
P 3000
25.0%
H 3000
25.0%
M 3000
25.0%
G 3000
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 63000
84.0%
Latin 12000
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 24501
38.9%
3 13078
20.8%
1 8942
 
14.2%
2 5644
 
9.0%
4 4000
 
6.3%
7 3744
 
5.9%
5 814
 
1.3%
9 783
 
1.2%
6 768
 
1.2%
8 726
 
1.2%
Latin
ValueCountFrequency (%)
P 3000
25.0%
H 3000
25.0%
M 3000
25.0%
G 3000
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 75000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 24501
32.7%
3 13078
17.4%
1 8942
 
11.9%
2 5644
 
7.5%
4 4000
 
5.3%
7 3744
 
5.0%
P 3000
 
4.0%
H 3000
 
4.0%
M 3000
 
4.0%
G 3000
 
4.0%
Other values (4) 3091
 
4.1%

인허가일자
Date

Distinct1990
Distinct (%)66.3%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
Minimum1984-06-22 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T14:27:59.928402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:28:00.195298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3000
Missing (%)100.0%
Memory size26.5 KiB

영업상태코드
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
3
1533 
1
1197 
4
168 
5
 
101
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
3 1533
51.1%
1 1197
39.9%
4 168
 
5.6%
5 101
 
3.4%
2 1
 
< 0.1%

Length

2024-05-11T14:28:00.422092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:28:00.632417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1533
51.1%
1 1197
39.9%
4 168
 
5.6%
5 101
 
3.4%
2 1
 
< 0.1%

영업상태명
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
폐업
1533 
영업/정상
1197 
취소/말소/만료/정지/중지
168 
제외/삭제/전출
 
101
휴업
 
1

Length

Max length14
Median length2
Mean length4.071
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1533
51.1%
영업/정상 1197
39.9%
취소/말소/만료/정지/중지 168
 
5.6%
제외/삭제/전출 101
 
3.4%
휴업 1
 
< 0.1%

Length

2024-05-11T14:28:00.849245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:28:01.022599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1533
51.1%
영업/정상 1197
39.9%
취소/말소/만료/정지/중지 168
 
5.6%
제외/삭제/전출 101
 
3.4%
휴업 1
 
< 0.1%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
3
1533 
13
1197 
24
168 
15
 
101
2
 
1

Length

Max length2
Median length1
Mean length1.4886667
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
3 1533
51.1%
13 1197
39.9%
24 168
 
5.6%
15 101
 
3.4%
2 1
 
< 0.1%

Length

2024-05-11T14:28:01.220757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:28:01.410576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1533
51.1%
13 1197
39.9%
24 168
 
5.6%
15 101
 
3.4%
2 1
 
< 0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
폐업
1533 
영업중
1197 
직권폐업
168 
전출
 
101
휴업
 
1

Length

Max length4
Median length2
Mean length2.511
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1533
51.1%
영업중 1197
39.9%
직권폐업 168
 
5.6%
전출 101
 
3.4%
휴업 1
 
< 0.1%

Length

2024-05-11T14:28:01.707808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:28:01.935886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1533
51.1%
영업중 1197
39.9%
직권폐업 168
 
5.6%
전출 101
 
3.4%
휴업 1
 
< 0.1%

폐업일자
Date

MISSING 

Distinct1087
Distinct (%)63.9%
Missing1299
Missing (%)43.3%
Memory size23.6 KiB
Minimum2007-01-03 00:00:00
Maximum2024-05-07 00:00:00
2024-05-11T14:28:02.189616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:28:02.446450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing2999
Missing (%)> 99.9%
Memory size23.6 KiB
Minimum2024-02-20 00:00:00
Maximum2024-02-20 00:00:00
2024-05-11T14:28:02.626462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:28:02.762738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업종료일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing2999
Missing (%)> 99.9%
Memory size23.6 KiB
Minimum2024-12-31 00:00:00
Maximum2024-12-31 00:00:00
2024-05-11T14:28:02.921432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:28:03.088085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3000
Missing (%)100.0%
Memory size26.5 KiB

전화번호
Text

MISSING 

Distinct1230
Distinct (%)95.3%
Missing1709
Missing (%)57.0%
Memory size23.6 KiB
2024-05-11T14:28:03.416168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.583269
Min length2

Characters and Unicode

Total characters13663
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

Unique1177 ?
Unique (%)91.2%

Sample

1st row02-312-4353
2nd row02-718-2687
3rd row02-719-2040
4th row02-333-5233
5th row02-336-6698
ValueCountFrequency (%)
02-3284-8116 6
 
0.5%
02-3152-8088 3
 
0.2%
070-7646-5350 3
 
0.2%
322-8940 3
 
0.2%
02-706-8564 3
 
0.2%
02-6954-1136 2
 
0.2%
02-536-2671 2
 
0.2%
338-0128 2
 
0.2%
02-3141-3301 2
 
0.2%
02-6383-5600 2
 
0.2%
Other values (1220) 1263
97.8%
2024-05-11T14:28:04.007057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2172
15.9%
0 1993
14.6%
2 1847
13.5%
3 1665
12.2%
7 1161
8.5%
1 1010
7.4%
4 839
 
6.1%
5 831
 
6.1%
6 820
 
6.0%
8 772
 
5.7%
Other values (2) 553
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11489
84.1%
Dash Punctuation 2172
 
15.9%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1993
17.3%
2 1847
16.1%
3 1665
14.5%
7 1161
10.1%
1 1010
8.8%
4 839
7.3%
5 831
7.2%
6 820
7.1%
8 772
 
6.7%
9 551
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 2172
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13663
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2172
15.9%
0 1993
14.6%
2 1847
13.5%
3 1665
12.2%
7 1161
8.5%
1 1010
7.4%
4 839
 
6.1%
5 831
 
6.1%
6 820
 
6.0%
8 772
 
5.7%
Other values (2) 553
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13663
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2172
15.9%
0 1993
14.6%
2 1847
13.5%
3 1665
12.2%
7 1161
8.5%
1 1010
7.4%
4 839
 
6.1%
5 831
 
6.1%
6 820
 
6.0%
8 772
 
5.7%
Other values (2) 553
 
4.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3000
Missing (%)100.0%
Memory size26.5 KiB

소재지우편번호
Text

MISSING 

Distinct173
Distinct (%)15.4%
Missing1873
Missing (%)62.4%
Memory size23.6 KiB
2024-05-11T14:28:04.473434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0248447
Min length6

Characters and Unicode

Total characters6790
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

Unique48 ?
Unique (%)4.3%

Sample

1st row121010
2nd row121736
3rd row121899
4th row121010
5th row121865
ValueCountFrequency (%)
121210 72
 
6.4%
121250 52
 
4.6%
121220 47
 
4.2%
121200 36
 
3.2%
121040 36
 
3.2%
121020 32
 
2.8%
121230 31
 
2.8%
121050 28
 
2.5%
121100 22
 
2.0%
121010 19
 
1.7%
Other values (163) 752
66.7%
2024-05-11T14:28:05.151714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2537
37.4%
2 1572
23.2%
0 818
 
12.0%
8 682
 
10.0%
4 215
 
3.2%
9 212
 
3.1%
5 201
 
3.0%
7 189
 
2.8%
3 182
 
2.7%
6 152
 
2.2%
Other values (2) 30
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6760
99.6%
Dash Punctuation 28
 
0.4%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2537
37.5%
2 1572
23.3%
0 818
 
12.1%
8 682
 
10.1%
4 215
 
3.2%
9 212
 
3.1%
5 201
 
3.0%
7 189
 
2.8%
3 182
 
2.7%
6 152
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6790
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2537
37.4%
2 1572
23.2%
0 818
 
12.0%
8 682
 
10.0%
4 215
 
3.2%
9 212
 
3.1%
5 201
 
3.0%
7 189
 
2.8%
3 182
 
2.7%
6 152
 
2.2%
Other values (2) 30
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6790
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2537
37.4%
2 1572
23.2%
0 818
 
12.0%
8 682
 
10.0%
4 215
 
3.2%
9 212
 
3.1%
5 201
 
3.0%
7 189
 
2.8%
3 182
 
2.7%
6 152
 
2.2%
Other values (2) 30
 
0.4%

지번주소
Text

MISSING 

Distinct1677
Distinct (%)61.2%
Missing258
Missing (%)8.6%
Memory size23.6 KiB
2024-05-11T14:28:05.603405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length48
Mean length27.646973
Min length9

Characters and Unicode

Total characters75808
Distinct characters413
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1319 ?
Unique (%)48.1%

Sample

1st row서울특별시 마포구 아현동 ***-**
2nd row서울특별시 마포구 마포동 ***번지 *호
3rd row서울특별시 마포구 동교동 ***번지 **호 호평빌딩 *층
4th row서울특별시 마포구 아현동 ***-* 수창빌딩 ***호
5th row서울특별시 마포구 연남동 ***번지 *호
ValueCountFrequency (%)
마포구 2742
17.3%
서울특별시 2741
17.3%
호 1756
11.1%
1498
 
9.4%
번지 1202
 
7.6%
층 979
 
6.2%
서교동 473
 
3.0%
성산동 246
 
1.5%
합정동 238
 
1.5%
동교동 217
 
1.4%
Other values (1003) 3794
23.9%
2024-05-11T14:28:06.239254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 15792
20.8%
13183
17.4%
서 3268
 
4.3%
동 3158
 
4.2%
마 2942
 
3.9%
포 2900
 
3.8%
구 2773
 
3.7%
시 2773
 
3.7%
울 2760
 
3.6%
별 2748
 
3.6%
Other values (403) 23511
31.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44616
58.9%
Other Punctuation 15882
 
21.0%
Space Separator 13183
 
17.4%
Dash Punctuation 1248
 
1.6%
Uppercase Letter 455
 
0.6%
Decimal Number 287
 
0.4%
Lowercase Letter 67
 
0.1%
Close Punctuation 28
 
< 0.1%
Open Punctuation 28
 
< 0.1%
Letter Number 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 3268
 
7.3%
동 3158
 
7.1%
마 2942
 
6.6%
포 2900
 
6.5%
구 2773
 
6.2%
시 2773
 
6.2%
울 2760
 
6.2%
별 2748
 
6.2%
특 2746
 
6.2%
호 1933
 
4.3%
Other values (337) 16615
37.2%
Uppercase Letter
ValueCountFrequency (%)
B 63
13.8%
C 52
11.4%
A 38
 
8.4%
D 38
 
8.4%
M 38
 
8.4%
T 29
 
6.4%
K 28
 
6.2%
S 24
 
5.3%
P 21
 
4.6%
L 18
 
4.0%
Other values (15) 106
23.3%
Lowercase Letter
ValueCountFrequency (%)
b 15
22.4%
e 7
10.4%
s 6
 
9.0%
o 6
 
9.0%
t 5
 
7.5%
r 4
 
6.0%
i 3
 
4.5%
w 3
 
4.5%
p 3
 
4.5%
a 3
 
4.5%
Other values (9) 12
17.9%
Decimal Number
ValueCountFrequency (%)
1 69
24.0%
3 46
16.0%
2 37
12.9%
4 30
10.5%
0 26
 
9.1%
5 19
 
6.6%
9 17
 
5.9%
6 17
 
5.9%
7 14
 
4.9%
8 12
 
4.2%
Other Punctuation
ValueCountFrequency (%)
* 15792
99.4%
, 83
 
0.5%
. 3
 
< 0.1%
& 2
 
< 0.1%
? 1
 
< 0.1%
/ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
13183
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1248
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44615
58.9%
Common 30662
40.4%
Latin 530
 
0.7%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 3268
 
7.3%
동 3158
 
7.1%
마 2942
 
6.6%
포 2900
 
6.5%
구 2773
 
6.2%
시 2773
 
6.2%
울 2760
 
6.2%
별 2748
 
6.2%
특 2746
 
6.2%
호 1933
 
4.3%
Other values (336) 16614
37.2%
Latin
ValueCountFrequency (%)
B 63
 
11.9%
C 52
 
9.8%
A 38
 
7.2%
D 38
 
7.2%
M 38
 
7.2%
T 29
 
5.5%
K 28
 
5.3%
S 24
 
4.5%
P 21
 
4.0%
L 18
 
3.4%
Other values (35) 181
34.2%
Common
ValueCountFrequency (%)
* 15792
51.5%
13183
43.0%
- 1248
 
4.1%
, 83
 
0.3%
1 69
 
0.2%
3 46
 
0.2%
2 37
 
0.1%
4 30
 
0.1%
) 28
 
0.1%
( 28
 
0.1%
Other values (11) 118
 
0.4%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44615
58.9%
ASCII 31183
41.1%
Number Forms 8
 
< 0.1%
None 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 15792
50.6%
13183
42.3%
- 1248
 
4.0%
, 83
 
0.3%
1 69
 
0.2%
B 63
 
0.2%
C 52
 
0.2%
3 46
 
0.1%
A 38
 
0.1%
D 38
 
0.1%
Other values (54) 571
 
1.8%
Hangul
ValueCountFrequency (%)
서 3268
 
7.3%
동 3158
 
7.1%
마 2942
 
6.6%
포 2900
 
6.5%
구 2773
 
6.2%
시 2773
 
6.2%
울 2760
 
6.2%
별 2748
 
6.2%
특 2746
 
6.2%
호 1933
 
4.3%
Other values (336) 16614
37.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 8
100.0%
None
ValueCountFrequency (%)
Ｉ 1
100.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

도로명주소
Text

MISSING 

Distinct1824
Distinct (%)70.3%
Missing405
Missing (%)13.5%
Memory size23.6 KiB
2024-05-11T14:28:06.708945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length58
Mean length35.284778
Min length19

Characters and Unicode

Total characters91564
Distinct characters428
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1460 ?
Unique (%)56.3%

Sample

1st row서울특별시 마포구 마포대로 **, ***호 (마포동, 한신빌딩)
2nd row서울특별시 마포구 와우산로 *** (동교동,호평빌딩 *층)
3rd row서울특별시 마포구 동교로 *** (연남동)
4th row서울특별시 마포구 성산로*길 **, *층 (성산동)
5th row서울특별시 마포구 동교로**길 **, *층 (연남동, KCPMED빌딩)
ValueCountFrequency (%)
서울특별시 2595
14.5%
마포구 2593
14.5%
2578
14.4%
층 1310
 
7.3%
호 1224
 
6.8%
서교동 392
 
2.2%
마포대로 248
 
1.4%
성산동 247
 
1.4%
합정동 191
 
1.1%
도화동 190
 
1.1%
Other values (1232) 6341
35.4%
2024-05-11T14:28:07.451853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15322
16.7%
* 14444
 
15.8%
, 3394
 
3.7%
동 3196
 
3.5%
마 3165
 
3.5%
서 3143
 
3.4%
포 3105
 
3.4%
울 2698
 
2.9%
시 2630
 
2.9%
구 2623
 
2.9%
Other values (418) 37844
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51787
56.6%
Other Punctuation 17851
 
19.5%
Space Separator 15322
 
16.7%
Close Punctuation 2614
 
2.9%
Open Punctuation 2614
 
2.9%
Uppercase Letter 562
 
0.6%
Dash Punctuation 386
 
0.4%
Decimal Number 300
 
0.3%
Lowercase Letter 100
 
0.1%
Math Symbol 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3196
 
6.2%
마 3165
 
6.1%
서 3143
 
6.1%
포 3105
 
6.0%
울 2698
 
5.2%
시 2630
 
5.1%
구 2623
 
5.1%
특 2601
 
5.0%
별 2600
 
5.0%
로 2543
 
4.9%
Other values (352) 23483
45.3%
Uppercase Letter
ValueCountFrequency (%)
B 99
17.6%
C 54
 
9.6%
A 43
 
7.7%
M 43
 
7.7%
D 42
 
7.5%
T 35
 
6.2%
K 33
 
5.9%
S 27
 
4.8%
P 25
 
4.4%
I 21
 
3.7%
Other values (16) 140
24.9%
Lowercase Letter
ValueCountFrequency (%)
b 41
41.0%
o 9
 
9.0%
e 8
 
8.0%
r 6
 
6.0%
t 6
 
6.0%
i 5
 
5.0%
s 4
 
4.0%
a 4
 
4.0%
y 3
 
3.0%
w 3
 
3.0%
Other values (8) 11
 
11.0%
Decimal Number
ValueCountFrequency (%)
1 78
26.0%
2 55
18.3%
3 33
11.0%
0 31
 
10.3%
9 21
 
7.0%
4 20
 
6.7%
8 17
 
5.7%
7 17
 
5.7%
5 17
 
5.7%
6 11
 
3.7%
Other Punctuation
ValueCountFrequency (%)
* 14444
80.9%
, 3394
 
19.0%
. 4
 
< 0.1%
/ 3
 
< 0.1%
? 3
 
< 0.1%
& 3
 
< 0.1%
Space Separator
ValueCountFrequency (%)
15322
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2614
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2614
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 386
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51786
56.6%
Common 39104
42.7%
Latin 673
 
0.7%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3196
 
6.2%
마 3165
 
6.1%
서 3143
 
6.1%
포 3105
 
6.0%
울 2698
 
5.2%
시 2630
 
5.1%
구 2623
 
5.1%
특 2601
 
5.0%
별 2600
 
5.0%
로 2543
 
4.9%
Other values (351) 23482
45.3%
Latin
ValueCountFrequency (%)
B 99
14.7%
C 54
 
8.0%
A 43
 
6.4%
M 43
 
6.4%
D 42
 
6.2%
b 41
 
6.1%
T 35
 
5.2%
K 33
 
4.9%
S 27
 
4.0%
P 25
 
3.7%
Other values (35) 231
34.3%
Common
ValueCountFrequency (%)
15322
39.2%
* 14444
36.9%
, 3394
 
8.7%
) 2614
 
6.7%
( 2614
 
6.7%
- 386
 
1.0%
1 78
 
0.2%
2 55
 
0.1%
3 33
 
0.1%
0 31
 
0.1%
Other values (11) 133
 
0.3%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51786
56.6%
ASCII 39765
43.4%
Number Forms 11
 
< 0.1%
None 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15322
38.5%
* 14444
36.3%
, 3394
 
8.5%
) 2614
 
6.6%
( 2614
 
6.6%
- 386
 
1.0%
B 99
 
0.2%
1 78
 
0.2%
2 55
 
0.1%
C 54
 
0.1%
Other values (54) 705
 
1.8%
Hangul
ValueCountFrequency (%)
동 3196
 
6.2%
마 3165
 
6.1%
서 3143
 
6.1%
포 3105
 
6.0%
울 2698
 
5.2%
시 2630
 
5.1%
구 2623
 
5.1%
특 2601
 
5.0%
별 2600
 
5.0%
로 2543
 
4.9%
Other values (351) 23482
45.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 11
100.0%
None
ValueCountFrequency (%)
Ｉ 1
100.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct357
Distinct (%)15.1%
Missing642
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean13742.818
Minimum3902
Maximum121919
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.5 KiB
2024-05-11T14:28:07.674078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3902
5-th percentile3929
Q13996
median4056
Q34156
95-th percentile121820
Maximum121919
Range118017
Interquartile range (IQR)160

Descriptive statistics

Standard deviation32361.107
Coefficient of variation (CV)2.3547649
Kurtosis7.2622026
Mean13742.818
Median Absolute Deviation (MAD)72
Skewness3.0423577
Sum32405566
Variance1.0472412 × 109
MonotonicityNot monotonic
2024-05-11T14:28:07.917815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4072 65
 
2.2%
4089 62
 
2.1%
4168 49
 
1.6%
4031 35
 
1.2%
4057 33
 
1.1%
3961 31
 
1.0%
3966 31
 
1.0%
4167 29
 
1.0%
4071 27
 
0.9%
4195 26
 
0.9%
Other values (347) 1970
65.7%
(Missing) 642
 
21.4%
ValueCountFrequency (%)
3902 2
 
0.1%
3903 3
 
0.1%
3905 5
 
0.2%
3906 1
 
< 0.1%
3907 2
 
0.1%
3908 14
0.5%
3909 6
0.2%
3911 8
0.3%
3912 5
 
0.2%
3914 6
0.2%
ValueCountFrequency (%)
121919 1
 
< 0.1%
121916 1
 
< 0.1%
121904 6
0.2%
121898 4
0.1%
121897 5
0.2%
121896 2
 
0.1%
121895 1
 
< 0.1%
121893 6
0.2%
121888 1
 
< 0.1%
121887 2
 
0.1%

사업장명
Text

Distinct2872
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
2024-05-11T14:28:08.698152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length29
Mean length8.1896667
Min length2

Characters and Unicode

Total characters24569
Distinct characters699
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2760 ?
Unique (%)92.0%

Sample

1st row성창상사
2nd row국제전자의료기(주)
3rd row㈜유진메디칼
4th row맥진양행
5th row고려의료기
ValueCountFrequency (%)
씨유 146
 
3.7%
주식회사 98
 
2.5%
주)코리아세븐 91
 
2.3%
지에스25 84
 
2.1%
gs25 34
 
0.9%
세븐일레븐 32
 
0.8%
씨제이올리브영(주 23
 
0.6%
지에스(gs)25 21
 
0.5%
홍대점 14
 
0.4%
마포점 14
 
0.4%
Other values (2983) 3434
86.0%
2024-05-11T14:28:09.394080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
991
 
4.0%
) 982
 
4.0%
( 982
 
4.0%
주 957
 
3.9%
이 890
 
3.6%
스 836
 
3.4%
점 714
 
2.9%
리 491
 
2.0%
디 483
 
2.0%
아 458
 
1.9%
Other values (689) 16785
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19810
80.6%
Space Separator 991
 
4.0%
Close Punctuation 983
 
4.0%
Open Punctuation 983
 
4.0%
Uppercase Letter 799
 
3.3%
Decimal Number 424
 
1.7%
Lowercase Letter 263
 
1.1%
Other Symbol 228
 
0.9%
Other Punctuation 80
 
0.3%
Dash Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 957
 
4.8%
이 890
 
4.5%
스 836
 
4.2%
점 714
 
3.6%
리 491
 
2.5%
디 483
 
2.4%
아 458
 
2.3%
메 454
 
2.3%
에 443
 
2.2%
지 364
 
1.8%
Other values (621) 13720
69.3%
Uppercase Letter
ValueCountFrequency (%)
S 131
16.4%
G 86
 
10.8%
C 52
 
6.5%
E 43
 
5.4%
H 43
 
5.4%
M 42
 
5.3%
A 42
 
5.3%
T 41
 
5.1%
I 38
 
4.8%
L 36
 
4.5%
Other values (15) 245
30.7%
Lowercase Letter
ValueCountFrequency (%)
o 41
15.6%
e 31
11.8%
t 24
9.1%
i 23
8.7%
d 21
8.0%
l 18
 
6.8%
a 17
 
6.5%
r 14
 
5.3%
c 14
 
5.3%
n 12
 
4.6%
Other values (13) 48
18.3%
Decimal Number
ValueCountFrequency (%)
2 192
45.3%
5 172
40.6%
1 15
 
3.5%
4 12
 
2.8%
3 12
 
2.8%
6 10
 
2.4%
7 7
 
1.7%
8 4
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 39
48.8%
& 29
36.2%
, 11
 
13.8%
? 1
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 982
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 982
99.9%
[ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
991
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 228
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20038
81.6%
Common 3469
 
14.1%
Latin 1062
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 957
 
4.8%
이 890
 
4.4%
스 836
 
4.2%
점 714
 
3.6%
리 491
 
2.5%
디 483
 
2.4%
아 458
 
2.3%
메 454
 
2.3%
에 443
 
2.2%
지 364
 
1.8%
Other values (622) 13948
69.6%
Latin
ValueCountFrequency (%)
S 131
 
12.3%
G 86
 
8.1%
C 52
 
4.9%
E 43
 
4.0%
H 43
 
4.0%
M 42
 
4.0%
A 42
 
4.0%
o 41
 
3.9%
T 41
 
3.9%
I 38
 
3.6%
Other values (38) 503
47.4%
Common
ValueCountFrequency (%)
991
28.6%
) 982
28.3%
( 982
28.3%
2 192
 
5.5%
5 172
 
5.0%
. 39
 
1.1%
& 29
 
0.8%
1 15
 
0.4%
4 12
 
0.3%
3 12
 
0.3%
Other values (9) 43
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19810
80.6%
ASCII 4531
 
18.4%
None 228
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
991
21.9%
) 982
21.7%
( 982
21.7%
2 192
 
4.2%
5 172
 
3.8%
S 131
 
2.9%
G 86
 
1.9%
C 52
 
1.1%
E 43
 
0.9%
H 43
 
0.9%
Other values (57) 857
18.9%
Hangul
ValueCountFrequency (%)
주 957
 
4.8%
이 890
 
4.5%
스 836
 
4.2%
점 714
 
3.6%
리 491
 
2.5%
디 483
 
2.4%
아 458
 
2.3%
메 454
 
2.3%
에 443
 
2.2%
지 364
 
1.8%
Other values (621) 13720
69.3%
None
ValueCountFrequency (%)
㈜ 228
100.0%

최종수정일자
Date

Distinct2998
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
Minimum2008-12-15 10:04:13
Maximum2024-05-09 11:03:07
2024-05-11T14:28:09.633583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:28:09.864103image/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 size23.6 KiB
I
1973 
U
1027 

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 1973
65.8%
U 1027
34.2%

Length

2024-05-11T14:28:10.063718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:28:10.242102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1973
65.8%
u 1027
34.2%

데이터갱신일자
Date

Distinct814
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T14:28:10.452718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:28:10.723976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3000
Missing (%)100.0%
Memory size26.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1299
Distinct (%)50.5%
Missing430
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean193328.77
Minimum189343.04
Maximum196693.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.5 KiB
2024-05-11T14:28:11.037238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189343.04
5-th percentile190769.23
Q1192191.38
median193082.15
Q3194867.62
95-th percentile195806.95
Maximum196693.58
Range7350.5342
Interquartile range (IQR)2676.2387

Descriptive statistics

Standard deviation1595.8301
Coefficient of variation (CV)0.0082544882
Kurtosis-0.85872169
Mean193328.77
Median Absolute Deviation (MAD)1197.5816
Skewness0.05924473
Sum4.9685495 × 108
Variance2546673.6
MonotonicityNot monotonic
2024-05-11T14:28:11.360597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192652.282023976 54
 
1.8%
194301.304865904 54
 
1.8%
191397.589463829 25
 
0.8%
195764.944565229 24
 
0.8%
195568.006693886 19
 
0.6%
192311.642580307 18
 
0.6%
193166.430144679 18
 
0.6%
195703.425296812 18
 
0.6%
195019.399817378 18
 
0.6%
194974.587674037 18
 
0.6%
Other values (1289) 2304
76.8%
(Missing) 430
 
14.3%
ValueCountFrequency (%)
189343.04418441 1
 
< 0.1%
189392.975995366 2
0.1%
189409.319972063 1
 
< 0.1%
189409.395005978 1
 
< 0.1%
189461.587933606 3
0.1%
189520.410979113 1
 
< 0.1%
189586.493821292 1
 
< 0.1%
189592.30107511 1
 
< 0.1%
189624.641758403 1
 
< 0.1%
189706.400187964 2
0.1%
ValueCountFrequency (%)
196693.578355085 1
< 0.1%
196657.681931264 1
< 0.1%
196584.315778375 1
< 0.1%
196549.907298732 1
< 0.1%
196511.051822368 1
< 0.1%
196473.803975216 1
< 0.1%
196472.785532336 1
< 0.1%
196469.692608655 1
< 0.1%
196460.697296742 1
< 0.1%
196449.060333334 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1298
Distinct (%)50.5%
Missing430
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean450156.51
Minimum448116.64
Maximum453872.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.5 KiB
2024-05-11T14:28:11.662202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448116.64
5-th percentile448644.31
Q1449388.05
median450100.97
Q3450657.82
95-th percentile452533.35
Maximum453872.43
Range5755.7858
Interquartile range (IQR)1269.7637

Descriptive statistics

Standard deviation1072.2602
Coefficient of variation (CV)0.002381972
Kurtosis0.63045886
Mean450156.51
Median Absolute Deviation (MAD)647.71837
Skewness0.79282612
Sum1.1569022 × 109
Variance1149742
MonotonicityNot monotonic
2024-05-11T14:28:11.915647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449483.723207355 54
 
1.8%
449388.053900946 54
 
1.8%
451116.947315843 25
 
0.8%
449028.002731859 24
 
0.8%
448931.294688013 19
 
0.6%
449855.643910445 18
 
0.6%
450425.852790862 18
 
0.6%
449330.800717721 18
 
0.6%
448407.752664604 18
 
0.6%
448229.063825491 18
 
0.6%
Other values (1288) 2304
76.8%
(Missing) 430
 
14.3%
ValueCountFrequency (%)
448116.639953919 1
 
< 0.1%
448206.301166714 1
 
< 0.1%
448229.063825491 18
0.6%
448236.655548283 2
 
0.1%
448274.441478548 1
 
< 0.1%
448276.965250949 2
 
0.1%
448305.518618358 2
 
0.1%
448311.311124573 1
 
< 0.1%
448318.358910522 2
 
0.1%
448345.713688045 2
 
0.1%
ValueCountFrequency (%)
453872.42578746 1
< 0.1%
453685.545865753 1
< 0.1%
453624.945221014 1
< 0.1%
453614.583448105 2
0.1%
453459.525588653 1
< 0.1%
453459.514085072 1
< 0.1%
453367.521771928 2
0.1%
453345.947683972 1
< 0.1%
453326.849506 1
< 0.1%
453323.0 1
< 0.1%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3000
Missing (%)100.0%
Memory size26.5 KiB

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3000
Missing (%)100.0%
Memory size26.5 KiB

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3000
Missing (%)100.0%
Memory size26.5 KiB

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3000
Missing (%)100.0%
Memory size26.5 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
03130000PHMG11984313003304700000119840622<NA>3폐업3폐업20090424<NA><NA><NA>02-312-4353<NA>121010서울특별시 마포구 아현동 ***-**<NA><NA>성창상사2009-05-18 14:30:24I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
13130000PHMG11987313003304700000119870910<NA>3폐업3폐업20170418<NA><NA><NA>02-718-2687<NA>121736서울특별시 마포구 마포동 ***번지 *호서울특별시 마포구 마포대로 **, ***호 (마포동, 한신빌딩)4175국제전자의료기(주)2017-04-18 13:55:55I2018-08-31 23:59:59.0<NA>195019.399817448407.752665<NA><NA><NA><NA>
23130000PHMG11987313003304700000219871103<NA>3폐업3폐업20121030<NA><NA><NA>02-719-2040<NA>121899서울특별시 마포구 동교동 ***번지 **호 호평빌딩 *층서울특별시 마포구 와우산로 *** (동교동,호평빌딩 *층)<NA>㈜유진메디칼2021-05-13 10:23:05U2021-05-15 02:40:00.0<NA>193892.350898450472.43001<NA><NA><NA><NA>
33130000PHMG11990313003304700000119900130<NA>3폐업3폐업20070314<NA><NA><NA><NA><NA>121010서울특별시 마포구 아현동 ***-* 수창빌딩 ***호<NA><NA>맥진양행2010-11-17 16:59:54I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
43130000PHMG11992313003304700000119920718<NA>3폐업3폐업20150717<NA><NA><NA>02-333-5233<NA>121865서울특별시 마포구 연남동 ***번지 *호서울특별시 마포구 동교로 *** (연남동)121865고려의료기2015-07-17 13:07:16I2018-08-31 23:59:59.0<NA>193231.086269451102.744774<NA><NA><NA><NA>
53130000PHMG11993313003304700000119930330<NA>3폐업3폐업20160708<NA><NA><NA>02-336-6698<NA>121843서울특별시 마포구 성산동 **번지 *호서울특별시 마포구 성산로*길 **, *층 (성산동)3966㈜오피테크2016-07-08 10:05:30I2018-08-31 23:59:59.0<NA>192102.851992451366.628776<NA><NA><NA><NA>
63130000PHMG11993313003304700000219930727<NA>3폐업3폐업20091008<NA><NA><NA>02-701-0231<NA>121040서울특별시 마포구 도화동 **-* 성우빌딩 ***호<NA><NA>㈜코메딕스2009-10-08 10:21:30I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
73130000PHMG11993313003304700000319931027<NA>3폐업3폐업20120328<NA><NA><NA>02-336-9338<NA>121220서울특별시 마포구 합정동 ***-*<NA><NA>영진상사2012-03-28 16:58:07I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
83130000PHMG11994313003304700000119940823<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3141-2070<NA>121869서울특별시 마포구 연남동 ***번지 **호서울특별시 마포구 동교로**길 **, *층 (연남동, KCPMED빌딩)3990㈜케이씨피2014-06-24 14:14:49I2018-08-31 23:59:59.0<NA>192970.776601450892.551536<NA><NA><NA><NA>
93130000PHMG11996313003304700000119960203<NA>1영업/정상13영업중<NA><NA><NA><NA>02-701-2229<NA><NA>서울특별시 마포구 도화동 ** 창강빌딩 *층서울특별시 마포구 마포대로 **, 창강빌딩 *층 (도화동)4168복정제형㈜2022-04-27 14:37:00U2021-12-03 22:09:00.0<NA>195568.006694448931.294688<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
29903130000PHMG1202431300330470000642024-04-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 망원동 ***-**서울특별시 마포구 망원로 **, *층 (망원동)3958에이유테크 서울직영점2024-04-23 10:28:52I2023-12-03 22:05:00.0<NA>191041.644342450459.367223<NA><NA><NA><NA>
29913130000PHMG1202431300330470000652024-04-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 망원동 ***-**서울특별시 마포구 월드컵로 **, 지*층 (망원동)4013웰더마2024-04-25 15:48:06I2023-12-03 22:07:00.0<NA>192031.046713450319.29888<NA><NA><NA><NA>
29923130000PHMG1202431300330470000662024-04-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 연남동 *** 코오롱하늘채아파트서울특별시 마포구 연남로 **, ***동 ***호 (연남동, 코오롱하늘채아파트)3989카라2024-04-26 16:09:33I2023-12-03 22:08:00.0<NA>192899.605749451360.660992<NA><NA><NA><NA>
29933130000PHMG1202431300330470000672024-04-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 ***-** 동양한강트레벨서울특별시 마포구 양화로 **, 동양한강트레벨 ***호 (서교동)4045필유로2024-04-29 09:17:31I2023-12-05 00:01:00.0<NA>192402.468624449701.625029<NA><NA><NA><NA>
29943130000PHMG1202431300330470000682024-04-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 합정동 ***-**서울특별시 마포구 성지길 **, *층 (합정동)4071이엠아이코리아2024-05-01 09:06:04I2023-12-05 00:03:00.0<NA>192250.150756449500.853247<NA><NA><NA><NA>
29953130000PHMG1202431300330470000692024-05-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 ***-* 동궁빌딩서울특별시 마포구 월드컵로**길 **, 동궁빌딩 ***호 (서교동)4003(주)올마야2024-05-09 09:28:46I2023-12-04 23:01:00.0<NA>192351.461413450337.365456<NA><NA><NA><NA>
29963130000PHMG1202431300330470000702024-05-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 현석동 *** 강변 힐스테이트서울특별시 마포구 신수로 **, ***동 ***호 (현석동, 강변 힐스테이트)4092비제이컴퍼니2024-05-08 15:52:11I2023-12-04 23:00:00.0<NA>194034.026614449010.169364<NA><NA><NA><NA>
29973130000PHMG1202431300330470000712024-05-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 망원동 ***-***서울특별시 마포구 희우정로**길 **, *층 **호 (망원동)4017더 스타일2024-05-08 15:54:51I2023-12-04 23:00:00.0<NA>191578.189539450099.587238<NA><NA><NA><NA>
29983130000PHMG1202431300330470000722024-05-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 망원동 ***-**서울특별시 마포구 망원로*길 *, *층 (망원동)3958지에스(GS)25 망원하늘점2024-05-08 15:56:07I2023-12-04 23:00:00.0<NA>191244.140034450544.576899<NA><NA><NA><NA>
29993130000PHMG1202431300330470000732024-05-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 신수동 *** 밤섬경남아너스빌서울특별시 마포구 독막로**길 **, 상가***동 b***호 (신수동, 밤섬경남아너스빌)4089빅벨 메디컬2024-05-09 11:03:07I2023-12-04 23:01:00.0<NA>194301.304866449388.053901<NA><NA><NA><NA>