Overview

Dataset statistics

Number of variables41
Number of observations757
Missing cells11230
Missing cells (%)36.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory258.9 KiB
Average record size in memory350.2 B

Variable types

Categorical11
Text8
DateTime6
Unsupported9
Numeric7

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),의료기관종별명,의료인수,입원실수,병상수,총면적,진료과목내용,진료과목내용명,지정취소일자,완화의료지정형태,완화의료담당부서명,구급차특수,구급차일반,총인원,구조사수,허가병상수,최초지정일자
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-16226/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 757 (100.0%) missing valuesMissing
폐업일자 has 437 (57.7%) missing valuesMissing
휴업시작일자 has 748 (98.8%) missing valuesMissing
휴업종료일자 has 748 (98.8%) missing valuesMissing
재개업일자 has 757 (100.0%) missing valuesMissing
소재지면적 has 757 (100.0%) missing valuesMissing
소재지우편번호 has 322 (42.5%) missing valuesMissing
지번주소 has 111 (14.7%) missing valuesMissing
도로명주소 has 110 (14.5%) missing valuesMissing
도로명우편번호 has 137 (18.1%) missing valuesMissing
좌표정보(X) has 117 (15.5%) missing valuesMissing
좌표정보(Y) has 117 (15.5%) missing valuesMissing
의료인수 has 261 (34.5%) missing valuesMissing
입원실수 has 261 (34.5%) missing valuesMissing
병상수 has 261 (34.5%) missing valuesMissing
총면적 has 261 (34.5%) missing valuesMissing
진료과목내용 has 261 (34.5%) missing valuesMissing
진료과목내용명 has 261 (34.5%) missing valuesMissing
지정취소일자 has 757 (100.0%) missing valuesMissing
완화의료지정형태 has 757 (100.0%) missing valuesMissing
완화의료담당부서명 has 757 (100.0%) missing valuesMissing
총인원 has 757 (100.0%) missing valuesMissing
구조사수 has 757 (100.0%) missing valuesMissing
최초지정일자 has 757 (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
지정취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료지정형태 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료담당부서명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
구조사수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초지정일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
입원실수 has 474 (62.6%) zerosZeros
병상수 has 473 (62.5%) zerosZeros
총면적 has 21 (2.8%) zerosZeros

Reproduction

Analysis started2024-05-11 03:35:13.531953
Analysis finished2024-05-11 03:35:15.649958
Duration2.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
3120000
757 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3120000
2nd row3120000
3rd row3120000
4th row3120000
5th row3120000

Common Values

ValueCountFrequency (%)
3120000 757
100.0%

Length

2024-05-11T03:35:15.976927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:35:16.427336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3120000 757
100.0%

관리번호
Text

UNIQUE 

Distinct757
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2024-05-11T03:35:17.464952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters18925
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

Unique757 ?
Unique (%)100.0%

Sample

1st rowPHMA119653120033041100001
2nd rowPHMA119653120033041100002
3rd rowPHMA119653120033041100003
4th rowPHMA119653120033041100004
5th rowPHMA119663120033041100003
ValueCountFrequency (%)
phma119653120033041100001 1
 
0.1%
phma120113120033041100010 1
 
0.1%
phma120113120033041100012 1
 
0.1%
phma120113120033041100013 1
 
0.1%
phma120113120033041100014 1
 
0.1%
phma120113120033041100015 1
 
0.1%
phma120113120033041100016 1
 
0.1%
phma120113120033041100017 1
 
0.1%
phma120113120033041100018 1
 
0.1%
phma120113120033041100019 1
 
0.1%
Other values (747) 747
98.7%
2024-05-11T03:35:18.793904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5789
30.6%
1 3907
20.6%
3 2475
13.1%
2 1616
 
8.5%
4 924
 
4.9%
P 757
 
4.0%
H 757
 
4.0%
M 757
 
4.0%
A 757
 
4.0%
9 507
 
2.7%
Other values (4) 679
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15897
84.0%
Uppercase Letter 3028
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5789
36.4%
1 3907
24.6%
3 2475
15.6%
2 1616
 
10.2%
4 924
 
5.8%
9 507
 
3.2%
7 189
 
1.2%
8 184
 
1.2%
5 164
 
1.0%
6 142
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 757
25.0%
H 757
25.0%
M 757
25.0%
A 757
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15897
84.0%
Latin 3028
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5789
36.4%
1 3907
24.6%
3 2475
15.6%
2 1616
 
10.2%
4 924
 
5.8%
9 507
 
3.2%
7 189
 
1.2%
8 184
 
1.2%
5 164
 
1.0%
6 142
 
0.9%
Latin
ValueCountFrequency (%)
P 757
25.0%
H 757
25.0%
M 757
25.0%
A 757
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18925
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5789
30.6%
1 3907
20.6%
3 2475
13.1%
2 1616
 
8.5%
4 924
 
4.9%
P 757
 
4.0%
H 757
 
4.0%
M 757
 
4.0%
A 757
 
4.0%
9 507
 
2.7%
Other values (4) 679
 
3.6%
Distinct703
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
Minimum1965-08-30 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T03:35:19.301703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:35:19.775573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing757
Missing (%)100.0%
Memory size6.8 KiB
Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
1
429 
3
320 
5
 
5
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 429
56.7%
3 320
42.3%
5 5
 
0.7%
2 3
 
0.4%

Length

2024-05-11T03:35:20.467264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:35:20.948594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 429
56.7%
3 320
42.3%
5 5
 
0.7%
2 3
 
0.4%

영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
영업/정상
429 
폐업
320 
제외/삭제/전출
 
5
휴업
 
3

Length

Max length8
Median length5
Mean length3.7397622
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 429
56.7%
폐업 320
42.3%
제외/삭제/전출 5
 
0.7%
휴업 3
 
0.4%

Length

2024-05-11T03:35:21.426453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:35:21.769287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 429
56.7%
폐업 320
42.3%
제외/삭제/전출 5
 
0.7%
휴업 3
 
0.4%
Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
13
429 
3
320 
15
 
5
2
 
3

Length

Max length2
Median length2
Mean length1.5733157
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 429
56.7%
3 320
42.3%
15 5
 
0.7%
2 3
 
0.4%

Length

2024-05-11T03:35:22.375197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:35:22.735620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 429
56.7%
3 320
42.3%
15 5
 
0.7%
2 3
 
0.4%
Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
영업중
429 
폐업
320 
전출
 
5
휴업
 
3

Length

Max length3
Median length3
Mean length2.5667107
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 429
56.7%
폐업 320
42.3%
전출 5
 
0.7%
휴업 3
 
0.4%

Length

2024-05-11T03:35:23.163668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:35:23.590690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 429
56.7%
폐업 320
42.3%
전출 5
 
0.7%
휴업 3
 
0.4%

폐업일자
Date

MISSING 

Distinct297
Distinct (%)92.8%
Missing437
Missing (%)57.7%
Memory size6.0 KiB
Minimum2000-12-07 00:00:00
Maximum2024-04-01 00:00:00
2024-05-11T03:35:23.984449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:35:24.478848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct9
Distinct (%)100.0%
Missing748
Missing (%)98.8%
Memory size6.0 KiB
Minimum2009-08-13 00:00:00
Maximum2024-01-01 00:00:00
2024-05-11T03:35:24.863352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:35:25.258448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

휴업종료일자
Date

MISSING 

Distinct9
Distinct (%)100.0%
Missing748
Missing (%)98.8%
Memory size6.0 KiB
Minimum2009-09-18 00:00:00
Maximum2024-12-31 00:00:00
2024-05-11T03:35:25.570939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:35:25.918231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing757
Missing (%)100.0%
Memory size6.8 KiB
Distinct692
Distinct (%)91.9%
Missing4
Missing (%)0.5%
Memory size6.0 KiB
2024-05-11T03:35:26.469304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length11
Mean length11.103586
Min length8

Characters and Unicode

Total characters8361
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

Unique642 ?
Unique (%)85.3%

Sample

1st row02-391-7474
2nd row02-362-2243
3rd row02-336-2146
4th row02-362-1331
5th row02-363-6871
ValueCountFrequency (%)
02-337-3588 4
 
0.5%
02-3216-8854 4
 
0.5%
02-722-7100 3
 
0.4%
02-1600-9833 3
 
0.4%
02-313-1626 3
 
0.4%
02-308-8275 3
 
0.4%
02-373-1651 3
 
0.4%
02-365-7528 3
 
0.4%
02-302-7528 3
 
0.4%
02-322-7291 2
 
0.3%
Other values (683) 723
95.9%
2024-05-11T03:35:27.801223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1490
17.8%
2 1364
16.3%
0 1270
15.2%
3 1169
14.0%
7 604
7.2%
5 548
 
6.6%
6 444
 
5.3%
1 415
 
5.0%
8 400
 
4.8%
9 367
 
4.4%
Other values (3) 290
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6869
82.2%
Dash Punctuation 1490
 
17.8%
Other Punctuation 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1364
19.9%
0 1270
18.5%
3 1169
17.0%
7 604
8.8%
5 548
8.0%
6 444
 
6.5%
1 415
 
6.0%
8 400
 
5.8%
9 367
 
5.3%
4 288
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 1490
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8361
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1490
17.8%
2 1364
16.3%
0 1270
15.2%
3 1169
14.0%
7 604
7.2%
5 548
 
6.6%
6 444
 
5.3%
1 415
 
5.0%
8 400
 
4.8%
9 367
 
4.4%
Other values (3) 290
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8361
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1490
17.8%
2 1364
16.3%
0 1270
15.2%
3 1169
14.0%
7 604
7.2%
5 548
 
6.6%
6 444
 
5.3%
1 415
 
5.0%
8 400
 
4.8%
9 367
 
4.4%
Other values (3) 290
 
3.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing757
Missing (%)100.0%
Memory size6.8 KiB

소재지우편번호
Text

MISSING 

Distinct115
Distinct (%)26.4%
Missing322
Missing (%)42.5%
Memory size6.0 KiB
2024-05-11T03:35:28.670256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0942529
Min length6

Characters and Unicode

Total characters2651
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

Unique47 ?
Unique (%)10.8%

Sample

1st row120841
2nd row120020
3rd row120834
4th row120191
5th row120070
ValueCountFrequency (%)
120857 34
 
7.8%
120833 27
 
6.2%
120834 26
 
6.0%
120859 24
 
5.5%
120805 20
 
4.6%
120819 18
 
4.1%
120807 11
 
2.5%
120070 9
 
2.1%
120180 9
 
2.1%
120854 9
 
2.1%
Other values (105) 248
57.0%
2024-05-11T03:35:29.898211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 644
24.3%
1 594
22.4%
2 484
18.3%
8 356
13.4%
5 128
 
4.8%
3 125
 
4.7%
7 92
 
3.5%
4 81
 
3.1%
9 70
 
2.6%
- 41
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2610
98.5%
Dash Punctuation 41
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 644
24.7%
1 594
22.8%
2 484
18.5%
8 356
13.6%
5 128
 
4.9%
3 125
 
4.8%
7 92
 
3.5%
4 81
 
3.1%
9 70
 
2.7%
6 36
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2651
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 644
24.3%
1 594
22.4%
2 484
18.3%
8 356
13.4%
5 128
 
4.8%
3 125
 
4.7%
7 92
 
3.5%
4 81
 
3.1%
9 70
 
2.6%
- 41
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2651
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 644
24.3%
1 594
22.4%
2 484
18.3%
8 356
13.4%
5 128
 
4.8%
3 125
 
4.7%
7 92
 
3.5%
4 81
 
3.1%
9 70
 
2.6%
- 41
 
1.5%

지번주소
Text

MISSING 

Distinct566
Distinct (%)87.6%
Missing111
Missing (%)14.7%
Memory size6.0 KiB
2024-05-11T03:35:30.895228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length45
Mean length24.752322
Min length3

Characters and Unicode

Total characters15990
Distinct characters172
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

Unique504 ?
Unique (%)78.0%

Sample

1st row서울특별시 서대문구 홍은2동 9-66
2nd row서울특별시 서대문구 미근동 179
3rd row서울특별시 서대문구 창천동 30-8
4th row서울특별시 서대문구 북아현1동 142-5
5th row서울특별시 서대문구 영천동 280
ValueCountFrequency (%)
서울특별시 641
19.8%
서대문구 639
19.7%
창천동 96
 
3.0%
홍제동 84
 
2.6%
남가좌동 59
 
1.8%
2층 47
 
1.5%
북가좌동 39
 
1.2%
연희동 38
 
1.2%
홍은동 29
 
0.9%
3층 27
 
0.8%
Other values (610) 1537
47.5%
2024-05-11T03:35:32.378112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2593
 
16.2%
1286
 
8.0%
679
 
4.2%
646
 
4.0%
645
 
4.0%
645
 
4.0%
644
 
4.0%
644
 
4.0%
643
 
4.0%
641
 
4.0%
Other values (162) 6924
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9992
62.5%
Decimal Number 3105
 
19.4%
Space Separator 2593
 
16.2%
Dash Punctuation 215
 
1.3%
Uppercase Letter 37
 
0.2%
Other Punctuation 31
 
0.2%
Open Punctuation 6
 
< 0.1%
Close Punctuation 6
 
< 0.1%
Lowercase Letter 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1286
12.9%
679
 
6.8%
646
 
6.5%
645
 
6.5%
645
 
6.5%
644
 
6.4%
644
 
6.4%
643
 
6.4%
641
 
6.4%
398
 
4.0%
Other values (136) 3121
31.2%
Decimal Number
ValueCountFrequency (%)
1 599
19.3%
2 558
18.0%
3 462
14.9%
4 255
8.2%
0 247
8.0%
5 238
 
7.7%
7 214
 
6.9%
8 183
 
5.9%
6 175
 
5.6%
9 174
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
D 10
27.0%
M 10
27.0%
C 10
27.0%
B 3
 
8.1%
N 1
 
2.7%
H 1
 
2.7%
L 1
 
2.7%
A 1
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 30
96.8%
/ 1
 
3.2%
Space Separator
ValueCountFrequency (%)
2593
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 215
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9992
62.5%
Common 5958
37.3%
Latin 40
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1286
12.9%
679
 
6.8%
646
 
6.5%
645
 
6.5%
645
 
6.5%
644
 
6.4%
644
 
6.4%
643
 
6.4%
641
 
6.4%
398
 
4.0%
Other values (136) 3121
31.2%
Common
ValueCountFrequency (%)
2593
43.5%
1 599
 
10.1%
2 558
 
9.4%
3 462
 
7.8%
4 255
 
4.3%
0 247
 
4.1%
5 238
 
4.0%
- 215
 
3.6%
7 214
 
3.6%
8 183
 
3.1%
Other values (7) 394
 
6.6%
Latin
ValueCountFrequency (%)
D 10
25.0%
M 10
25.0%
C 10
25.0%
B 3
 
7.5%
e 3
 
7.5%
N 1
 
2.5%
H 1
 
2.5%
L 1
 
2.5%
A 1
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9992
62.5%
ASCII 5998
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2593
43.2%
1 599
 
10.0%
2 558
 
9.3%
3 462
 
7.7%
4 255
 
4.3%
0 247
 
4.1%
5 238
 
4.0%
- 215
 
3.6%
7 214
 
3.6%
8 183
 
3.1%
Other values (16) 434
 
7.2%
Hangul
ValueCountFrequency (%)
1286
12.9%
679
 
6.8%
646
 
6.5%
645
 
6.5%
645
 
6.5%
644
 
6.4%
644
 
6.4%
643
 
6.4%
641
 
6.4%
398
 
4.0%
Other values (136) 3121
31.2%

도로명주소
Text

MISSING 

Distinct600
Distinct (%)92.7%
Missing110
Missing (%)14.5%
Memory size6.0 KiB
2024-05-11T03:35:33.291123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length55
Mean length31.789799
Min length13

Characters and Unicode

Total characters20568
Distinct characters220
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

Unique560 ?
Unique (%)86.6%

Sample

1st row서울특별시 서대문구 신촌로 93 (창천동)
2nd row서울특별시 서대문구 통일로 201-1 (영천동)
3rd row서울특별시 서대문구 세검정로 17 (홍은동)
4th row서울특별시 서대문구 통일로36나길 3 (홍제동)
5th row서울특별시 서대문구 연세로 3-3 (창천동)
ValueCountFrequency (%)
서울특별시 647
 
16.0%
서대문구 643
 
15.9%
통일로 165
 
4.1%
홍제동 147
 
3.6%
2층 141
 
3.5%
신촌로 97
 
2.4%
남가좌동 96
 
2.4%
창천동 89
 
2.2%
북가좌동 73
 
1.8%
3층 71
 
1.8%
Other values (626) 1874
46.4%
2024-05-11T03:35:34.987545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3398
 
16.5%
1304
 
6.3%
, 713
 
3.5%
704
 
3.4%
674
 
3.3%
664
 
3.2%
661
 
3.2%
654
 
3.2%
653
 
3.2%
649
 
3.2%
Other values (210) 10494
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12114
58.9%
Space Separator 3398
 
16.5%
Decimal Number 2861
 
13.9%
Other Punctuation 715
 
3.5%
Close Punctuation 649
 
3.2%
Open Punctuation 649
 
3.2%
Uppercase Letter 91
 
0.4%
Dash Punctuation 72
 
0.4%
Lowercase Letter 15
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1304
 
10.8%
704
 
5.8%
674
 
5.6%
664
 
5.5%
661
 
5.5%
654
 
5.4%
653
 
5.4%
649
 
5.4%
647
 
5.3%
646
 
5.3%
Other values (184) 4858
40.1%
Decimal Number
ValueCountFrequency (%)
1 564
19.7%
2 463
16.2%
3 405
14.2%
0 324
11.3%
4 324
11.3%
5 193
 
6.7%
7 168
 
5.9%
6 166
 
5.8%
9 131
 
4.6%
8 123
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
M 23
25.3%
D 22
24.2%
C 22
24.2%
B 18
19.8%
A 3
 
3.3%
L 1
 
1.1%
N 1
 
1.1%
H 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 713
99.7%
/ 2
 
0.3%
Space Separator
ValueCountFrequency (%)
3398
100.0%
Close Punctuation
ValueCountFrequency (%)
) 649
100.0%
Open Punctuation
ValueCountFrequency (%)
( 649
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12114
58.9%
Common 8348
40.6%
Latin 106
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1304
 
10.8%
704
 
5.8%
674
 
5.6%
664
 
5.5%
661
 
5.5%
654
 
5.4%
653
 
5.4%
649
 
5.4%
647
 
5.3%
646
 
5.3%
Other values (184) 4858
40.1%
Common
ValueCountFrequency (%)
3398
40.7%
, 713
 
8.5%
) 649
 
7.8%
( 649
 
7.8%
1 564
 
6.8%
2 463
 
5.5%
3 405
 
4.9%
0 324
 
3.9%
4 324
 
3.9%
5 193
 
2.3%
Other values (7) 666
 
8.0%
Latin
ValueCountFrequency (%)
M 23
21.7%
D 22
20.8%
C 22
20.8%
B 18
17.0%
e 15
14.2%
A 3
 
2.8%
L 1
 
0.9%
N 1
 
0.9%
H 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12114
58.9%
ASCII 8454
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3398
40.2%
, 713
 
8.4%
) 649
 
7.7%
( 649
 
7.7%
1 564
 
6.7%
2 463
 
5.5%
3 405
 
4.8%
0 324
 
3.8%
4 324
 
3.8%
5 193
 
2.3%
Other values (16) 772
 
9.1%
Hangul
ValueCountFrequency (%)
1304
 
10.8%
704
 
5.8%
674
 
5.6%
664
 
5.5%
661
 
5.5%
654
 
5.4%
653
 
5.4%
649
 
5.4%
647
 
5.3%
646
 
5.3%
Other values (184) 4858
40.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct131
Distinct (%)21.1%
Missing137
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean14845.598
Minimum3488
Maximum120859
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-05-11T03:35:35.659178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3488
5-th percentile3628
Q13657.25
median3712
Q33772
95-th percentile120833
Maximum120859
Range117371
Interquartile range (IQR)114.75

Descriptive statistics

Standard deviation34385.101
Coefficient of variation (CV)2.3161815
Kurtosis5.6689643
Mean14845.598
Median Absolute Deviation (MAD)58
Skewness2.7659778
Sum9204271
Variance1.1823352 × 109
MonotonicityNot monotonic
2024-05-11T03:35:36.304647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3629 37
 
4.9%
3646 32
 
4.2%
3712 30
 
4.0%
3779 28
 
3.7%
3734 27
 
3.6%
3709 19
 
2.5%
3735 17
 
2.2%
3789 16
 
2.1%
3708 15
 
2.0%
3692 15
 
2.0%
Other values (121) 384
50.7%
(Missing) 137
 
18.1%
ValueCountFrequency (%)
3488 1
 
0.1%
3604 2
 
0.3%
3605 6
0.8%
3610 3
0.4%
3611 1
 
0.1%
3612 2
 
0.3%
3615 3
0.4%
3616 2
 
0.3%
3622 3
0.4%
3624 3
0.4%
ValueCountFrequency (%)
120859 2
 
0.3%
120857 6
0.8%
120855 1
 
0.1%
120853 2
 
0.3%
120848 1
 
0.1%
120847 1
 
0.1%
120845 1
 
0.1%
120841 1
 
0.1%
120839 2
 
0.3%
120836 1
 
0.1%
Distinct725
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2024-05-11T03:35:37.016857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length7.4081902
Min length3

Characters and Unicode

Total characters5608
Distinct characters367
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique698 ?
Unique (%)92.2%

Sample

1st row삼성의원
2nd row박경호이비인후과의원
3rd row주의원
4th row이인숙의원
5th row한일치과의원
ValueCountFrequency (%)
치과의원 5
 
0.6%
민성한의원 3
 
0.4%
동산한의원 3
 
0.4%
현대치과의원 3
 
0.4%
경희한의원 3
 
0.4%
해들인의원 3
 
0.4%
제일치과의원 2
 
0.3%
윤선치과의원 2
 
0.3%
아이엘의원 2
 
0.3%
동신치과의원 2
 
0.3%
Other values (728) 748
96.4%
2024-05-11T03:35:38.435075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
809
 
14.4%
769
 
13.7%
477
 
8.5%
215
 
3.8%
206
 
3.7%
113
 
2.0%
95
 
1.7%
87
 
1.6%
82
 
1.5%
78
 
1.4%
Other values (357) 2677
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5541
98.8%
Space Separator 19
 
0.3%
Uppercase Letter 14
 
0.2%
Close Punctuation 9
 
0.2%
Open Punctuation 9
 
0.2%
Decimal Number 8
 
0.1%
Lowercase Letter 4
 
0.1%
Dash Punctuation 3
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
809
 
14.6%
769
 
13.9%
477
 
8.6%
215
 
3.9%
206
 
3.7%
113
 
2.0%
95
 
1.7%
87
 
1.6%
82
 
1.5%
78
 
1.4%
Other values (339) 2610
47.1%
Uppercase Letter
ValueCountFrequency (%)
D 3
21.4%
M 3
21.4%
C 3
21.4%
S 1
 
7.1%
E 1
 
7.1%
U 1
 
7.1%
A 1
 
7.1%
L 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 2
25.0%
3 2
25.0%
6 2
25.0%
5 2
25.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5539
98.8%
Common 49
 
0.9%
Latin 18
 
0.3%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
809
 
14.6%
769
 
13.9%
477
 
8.6%
215
 
3.9%
206
 
3.7%
113
 
2.0%
95
 
1.7%
87
 
1.6%
82
 
1.5%
78
 
1.4%
Other values (337) 2608
47.1%
Common
ValueCountFrequency (%)
19
38.8%
) 9
18.4%
( 9
18.4%
- 3
 
6.1%
1 2
 
4.1%
3 2
 
4.1%
6 2
 
4.1%
5 2
 
4.1%
& 1
 
2.0%
Latin
ValueCountFrequency (%)
e 4
22.2%
D 3
16.7%
M 3
16.7%
C 3
16.7%
S 1
 
5.6%
E 1
 
5.6%
U 1
 
5.6%
A 1
 
5.6%
L 1
 
5.6%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5539
98.8%
ASCII 67
 
1.2%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
809
 
14.6%
769
 
13.9%
477
 
8.6%
215
 
3.9%
206
 
3.7%
113
 
2.0%
95
 
1.7%
87
 
1.6%
82
 
1.5%
78
 
1.4%
Other values (337) 2608
47.1%
ASCII
ValueCountFrequency (%)
19
28.4%
) 9
13.4%
( 9
13.4%
e 4
 
6.0%
- 3
 
4.5%
D 3
 
4.5%
M 3
 
4.5%
C 3
 
4.5%
1 2
 
3.0%
3 2
 
3.0%
Other values (8) 10
14.9%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct662
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
Minimum2008-12-06 09:10:40
Maximum2024-05-09 20:13:20
2024-05-11T03:35:39.027277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:35:39.635498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
U
399 
I
358 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 399
52.7%
I 358
47.3%

Length

2024-05-11T03:35:40.307224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:35:40.714980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 399
52.7%
i 358
47.3%
Distinct283
Distinct (%)37.4%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T03:35:41.241677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:35:41.867448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
의원
377 
치과의원
208 
한의원
169 
보건소
 
1
보건지소
 
1

Length

Max length4
Median length3
Mean length2.7780713
Min length2

Unique

Unique3 ?
Unique (%)0.4%

Sample

1st row의원
2nd row의원
3rd row의원
4th row의원
5th row치과의원

Common Values

ValueCountFrequency (%)
의원 377
49.8%
치과의원 208
27.5%
한의원 169
22.3%
보건소 1
 
0.1%
보건지소 1
 
0.1%
조산원 1
 
0.1%

Length

2024-05-11T03:35:42.451062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:35:43.053230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 377
49.8%
치과의원 208
27.5%
한의원 169
22.3%
보건소 1
 
0.1%
보건지소 1
 
0.1%
조산원 1
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct350
Distinct (%)54.7%
Missing117
Missing (%)15.5%
Infinite0
Infinite (%)0.0%
Mean194361.18
Minimum190470.57
Maximum197147.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-05-11T03:35:43.989681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190470.57
5-th percentile192209.32
Q1193226.56
median194437.63
Q3195196.14
95-th percentile196646.32
Maximum197147.39
Range6676.8235
Interquartile range (IQR)1969.5766

Descriptive statistics

Standard deviation1367.6196
Coefficient of variation (CV)0.0070364853
Kurtosis-0.75936603
Mean194361.18
Median Absolute Deviation (MAD)810.59314
Skewness-0.094581809
Sum1.2439116 × 108
Variance1870383.4
MonotonicityNot monotonic
2024-05-11T03:35:44.482003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195196.693652181 14
 
1.8%
193998.104669318 14
 
1.8%
192209.323632506 13
 
1.7%
195027.508614207 10
 
1.3%
194052.236863642 9
 
1.2%
194437.631947311 9
 
1.2%
194920.532436667 9
 
1.2%
194965.34982839 7
 
0.9%
195079.810520281 7
 
0.9%
194474.81938437 7
 
0.9%
Other values (340) 541
71.5%
(Missing) 117
 
15.5%
ValueCountFrequency (%)
190470.571086776 1
 
0.1%
191543.28 1
 
0.1%
191560.52084165 1
 
0.1%
191900.345924872 1
 
0.1%
191965.164043379 1
 
0.1%
191971.959380003 1
 
0.1%
192000.945942229 6
0.8%
192026.493793732 2
 
0.3%
192034.569191336 1
 
0.1%
192042.945252338 1
 
0.1%
ValueCountFrequency (%)
197147.394631349 1
 
0.1%
197053.685372291 1
 
0.1%
197040.207721042 1
 
0.1%
196961.57430764 1
 
0.1%
196913.333833025 6
0.8%
196884.166631688 5
0.7%
196866.910861104 1
 
0.1%
196850.221876572 1
 
0.1%
196840.383889937 1
 
0.1%
196829.272845892 2
 
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct350
Distinct (%)54.7%
Missing117
Missing (%)15.5%
Infinite0
Infinite (%)0.0%
Mean452359.51
Minimum449582.47
Maximum455378.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-05-11T03:35:45.270585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449582.47
5-th percentile450419.73
Q1451081.75
median452208.4
Q3453580.57
95-th percentile454366.74
Maximum455378.25
Range5795.7757
Interquartile range (IQR)2498.8206

Descriptive statistics

Standard deviation1367.5546
Coefficient of variation (CV)0.0030231587
Kurtosis-1.2075653
Mean452359.51
Median Absolute Deviation (MAD)1243.851
Skewness0.020623607
Sum2.8951009 × 108
Variance1870205.5
MonotonicityNot monotonic
2024-05-11T03:35:45.822423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
453764.706268517 14
 
1.8%
453150.85412164 14
 
1.8%
452067.039429636 13
 
1.7%
454066.290258196 10
 
1.3%
450491.887936674 9
 
1.2%
450375.488731434 9
 
1.2%
454188.343575118 9
 
1.2%
454049.804041193 7
 
0.9%
453920.732450148 7
 
0.9%
450422.374151297 7
 
0.9%
Other values (340) 541
71.5%
(Missing) 117
 
15.5%
ValueCountFrequency (%)
449582.470843017 1
 
0.1%
450375.488731434 9
1.2%
450378.207939919 6
0.8%
450384.575342365 2
 
0.3%
450387.139950052 6
0.8%
450391.53849739 3
 
0.4%
450400.49762862 2
 
0.3%
450415.700852123 3
 
0.4%
450419.947260382 3
 
0.4%
450422.374151297 7
0.9%
ValueCountFrequency (%)
455378.246569486 1
0.1%
455205.609230077 1
0.1%
455199.522845493 1
0.1%
455195.944123241 1
0.1%
455193.014698844 2
0.3%
455095.819177181 1
0.1%
455063.288221654 1
0.1%
455007.941725175 1
0.1%
454786.019433577 2
0.3%
454683.237327927 1
0.1%
Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
<NA>
261 
의원
255 
치과의원
146 
한의원
94 
보건지소
 
1

Length

Max length4
Median length4
Mean length3.2021136
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row의원
2nd row의원
3rd row의원
4th row의원
5th row치과의원

Common Values

ValueCountFrequency (%)
<NA> 261
34.5%
의원 255
33.7%
치과의원 146
19.3%
한의원 94
 
12.4%
보건지소 1
 
0.1%

Length

2024-05-11T03:35:46.355896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:35:46.896436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 261
34.5%
의원 255
33.7%
치과의원 146
19.3%
한의원 94
 
12.4%
보건지소 1
 
0.1%

의료인수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)1.8%
Missing261
Missing (%)34.5%
Infinite0
Infinite (%)0.0%
Mean1.3024194
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-05-11T03:35:47.424500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2.25
Maximum26
Range25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4118096
Coefficient of variation (CV)1.08399
Kurtosis197.38974
Mean1.3024194
Median Absolute Deviation (MAD)0
Skewness12.393003
Sum646
Variance1.9932063
MonotonicityNot monotonic
2024-05-11T03:35:48.012571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 422
55.7%
2 49
 
6.5%
3 15
 
2.0%
4 4
 
0.5%
5 2
 
0.3%
10 1
 
0.1%
8 1
 
0.1%
11 1
 
0.1%
26 1
 
0.1%
(Missing) 261
34.5%
ValueCountFrequency (%)
1 422
55.7%
2 49
 
6.5%
3 15
 
2.0%
4 4
 
0.5%
5 2
 
0.3%
8 1
 
0.1%
10 1
 
0.1%
11 1
 
0.1%
26 1
 
0.1%
ValueCountFrequency (%)
26 1
 
0.1%
11 1
 
0.1%
10 1
 
0.1%
8 1
 
0.1%
5 2
 
0.3%
4 4
 
0.5%
3 15
 
2.0%
2 49
 
6.5%
1 422
55.7%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)2.4%
Missing261
Missing (%)34.5%
Infinite0
Infinite (%)0.0%
Mean0.28024194
Minimum0
Maximum15
Zeros474
Zeros (%)62.6%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-05-11T03:35:48.647015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.5439987
Coefficient of variation (CV)5.5095206
Kurtosis42.333271
Mean0.28024194
Median Absolute Deviation (MAD)0
Skewness6.2789132
Sum139
Variance2.3839321
MonotonicityNot monotonic
2024-05-11T03:35:49.211995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 474
62.6%
1 5
 
0.7%
7 3
 
0.4%
8 3
 
0.4%
6 3
 
0.4%
11 2
 
0.3%
4 1
 
0.1%
9 1
 
0.1%
5 1
 
0.1%
3 1
 
0.1%
Other values (2) 2
 
0.3%
(Missing) 261
34.5%
ValueCountFrequency (%)
0 474
62.6%
1 5
 
0.7%
3 1
 
0.1%
4 1
 
0.1%
5 1
 
0.1%
6 3
 
0.4%
7 3
 
0.4%
8 3
 
0.4%
9 1
 
0.1%
11 2
 
0.3%
ValueCountFrequency (%)
15 1
 
0.1%
13 1
 
0.1%
11 2
0.3%
9 1
 
0.1%
8 3
0.4%
7 3
0.4%
6 3
0.4%
5 1
 
0.1%
4 1
 
0.1%
3 1
 
0.1%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)2.6%
Missing261
Missing (%)34.5%
Infinite0
Infinite (%)0.0%
Mean0.69959677
Minimum0
Maximum29
Zeros473
Zeros (%)62.5%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-05-11T03:35:49.692995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum29
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.0030897
Coefficient of variation (CV)5.7219956
Kurtosis39.577961
Mean0.69959677
Median Absolute Deviation (MAD)0
Skewness6.3009755
Sum347
Variance16.024727
MonotonicityNot monotonic
2024-05-11T03:35:50.191200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 473
62.5%
29 6
 
0.8%
1 3
 
0.4%
7 2
 
0.3%
21 2
 
0.3%
6 2
 
0.3%
9 2
 
0.3%
5 1
 
0.1%
28 1
 
0.1%
27 1
 
0.1%
Other values (3) 3
 
0.4%
(Missing) 261
34.5%
ValueCountFrequency (%)
0 473
62.5%
1 3
 
0.4%
2 1
 
0.1%
3 1
 
0.1%
5 1
 
0.1%
6 2
 
0.3%
7 2
 
0.3%
9 2
 
0.3%
19 1
 
0.1%
21 2
 
0.3%
ValueCountFrequency (%)
29 6
0.8%
28 1
 
0.1%
27 1
 
0.1%
21 2
 
0.3%
19 1
 
0.1%
9 2
 
0.3%
7 2
 
0.3%
6 2
 
0.3%
5 1
 
0.1%
3 1
 
0.1%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct433
Distinct (%)87.3%
Missing261
Missing (%)34.5%
Infinite0
Infinite (%)0.0%
Mean153.27373
Minimum0
Maximum8130
Zeros21
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-05-11T03:35:50.786656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24.225
Q176.5375
median109.55
Q3153.84
95-th percentile338.7575
Maximum8130
Range8130
Interquartile range (IQR)77.3025

Descriptive statistics

Standard deviation386.55581
Coefficient of variation (CV)2.5219965
Kurtosis370.27579
Mean153.27373
Median Absolute Deviation (MAD)38.84
Skewness18.270588
Sum76023.77
Variance149425.39
MonotonicityNot monotonic
2024-05-11T03:35:51.503354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
2.8%
132.0 6
 
0.8%
59.4 3
 
0.4%
95.0 2
 
0.3%
62.25 2
 
0.3%
94.0 2
 
0.3%
210.0 2
 
0.3%
200.17 2
 
0.3%
153.84 2
 
0.3%
177.0 2
 
0.3%
Other values (423) 452
59.7%
(Missing) 261
34.5%
ValueCountFrequency (%)
0.0 21
2.8%
1.0 1
 
0.1%
19.8 1
 
0.1%
21.0 1
 
0.1%
24.0 1
 
0.1%
24.3 1
 
0.1%
24.35 1
 
0.1%
26.3 1
 
0.1%
29.9 1
 
0.1%
30.6 1
 
0.1%
ValueCountFrequency (%)
8130.0 1
0.1%
2433.64 1
0.1%
752.95 1
0.1%
655.34 1
0.1%
652.83 1
0.1%
597.81 1
0.1%
577.46 1
0.1%
538.29 1
0.1%
517.7 1
0.1%
513.36 1
0.1%

진료과목내용
Text

MISSING 

Distinct175
Distinct (%)35.3%
Missing261
Missing (%)34.5%
Memory size6.0 KiB
2024-05-11T03:35:52.051214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length3
Mean length10.830645
Min length3

Characters and Unicode

Total characters5372
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

Unique132 ?
Unique (%)26.6%

Sample

1st row122
2nd row113
3rd row101 104
4th row110
5th row401
ValueCountFrequency (%)
101 137
 
9.3%
401 126
 
8.6%
114 97
 
6.6%
301 93
 
6.3%
111 80
 
5.5%
113 61
 
4.2%
122 49
 
3.3%
302 45
 
3.1%
303 45
 
3.1%
304 44
 
3.0%
Other values (41) 690
47.0%
2024-05-11T03:35:53.155415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1505
28.0%
0 1102
20.5%
971
18.1%
3 533
 
9.9%
4 527
 
9.8%
2 302
 
5.6%
5 130
 
2.4%
8 100
 
1.9%
6 92
 
1.7%
7 64
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4401
81.9%
Space Separator 971
 
18.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1505
34.2%
0 1102
25.0%
3 533
 
12.1%
4 527
 
12.0%
2 302
 
6.9%
5 130
 
3.0%
8 100
 
2.3%
6 92
 
2.1%
7 64
 
1.5%
9 46
 
1.0%
Space Separator
ValueCountFrequency (%)
971
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5372
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1505
28.0%
0 1102
20.5%
971
18.1%
3 533
 
9.9%
4 527
 
9.8%
2 302
 
5.6%
5 130
 
2.4%
8 100
 
1.9%
6 92
 
1.7%
7 64
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1505
28.0%
0 1102
20.5%
971
18.1%
3 533
 
9.9%
4 527
 
9.8%
2 302
 
5.6%
5 130
 
2.4%
8 100
 
1.9%
6 92
 
1.7%
7 64
 
1.2%

진료과목내용명
Text

MISSING 

Distinct141
Distinct (%)28.4%
Missing261
Missing (%)34.5%
Memory size6.0 KiB
2024-05-11T03:35:53.760091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length110
Median length74
Mean length16.939516
Min length2

Characters and Unicode

Total characters8402
Distinct characters63
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)20.2%

Sample

1st row가정의학과
2nd row이비인후과
3rd row내과, 외과
4th row산부인과
5th row치과
ValueCountFrequency (%)
내과 137
 
9.4%
치과 126
 
8.6%
피부과 97
 
6.6%
한방내과 93
 
6.3%
소아청소년과 80
 
5.5%
이비인후과 61
 
4.2%
가정의학과 49
 
3.3%
한방소아과 45
 
3.1%
한방부인과 45
 
3.1%
한방안?이비인후?피부과 44
 
3.0%
Other values (31) 688
47.0%
2024-05-11T03:35:54.859304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1550
18.4%
, 969
 
11.5%
969
 
11.5%
343
 
4.1%
320
 
3.8%
311
 
3.7%
256
 
3.0%
233
 
2.8%
215
 
2.6%
193
 
2.3%
Other values (53) 3043
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6376
75.9%
Other Punctuation 1057
 
12.6%
Space Separator 969
 
11.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1550
24.3%
343
 
5.4%
320
 
5.0%
311
 
4.9%
256
 
4.0%
233
 
3.7%
215
 
3.4%
193
 
3.0%
193
 
3.0%
179
 
2.8%
Other values (50) 2583
40.5%
Other Punctuation
ValueCountFrequency (%)
, 969
91.7%
? 88
 
8.3%
Space Separator
ValueCountFrequency (%)
969
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6376
75.9%
Common 2026
 
24.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1550
24.3%
343
 
5.4%
320
 
5.0%
311
 
4.9%
256
 
4.0%
233
 
3.7%
215
 
3.4%
193
 
3.0%
193
 
3.0%
179
 
2.8%
Other values (50) 2583
40.5%
Common
ValueCountFrequency (%)
, 969
47.8%
969
47.8%
? 88
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6376
75.9%
ASCII 2026
 
24.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1550
24.3%
343
 
5.4%
320
 
5.0%
311
 
4.9%
256
 
4.0%
233
 
3.7%
215
 
3.4%
193
 
3.0%
193
 
3.0%
179
 
2.8%
Other values (50) 2583
40.5%
ASCII
ValueCountFrequency (%)
, 969
47.8%
969
47.8%
? 88
 
4.3%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing757
Missing (%)100.0%
Memory size6.8 KiB

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing757
Missing (%)100.0%
Memory size6.8 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing757
Missing (%)100.0%
Memory size6.8 KiB

구급차특수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
0
496 
<NA>
261 

Length

Max length4
Median length1
Mean length2.0343461
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 496
65.5%
<NA> 261
34.5%

Length

2024-05-11T03:35:55.343227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:35:55.691320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 496
65.5%
na 261
34.5%

구급차일반
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
0
496 
<NA>
261 

Length

Max length4
Median length1
Mean length2.0343461
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 496
65.5%
<NA> 261
34.5%

Length

2024-05-11T03:35:56.077975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:35:56.441236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 496
65.5%
na 261
34.5%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing757
Missing (%)100.0%
Memory size6.8 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing757
Missing (%)100.0%
Memory size6.8 KiB

허가병상수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
0
496 
<NA>
261 

Length

Max length4
Median length1
Mean length2.0343461
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 496
65.5%
<NA> 261
34.5%

Length

2024-05-11T03:35:56.822482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:35:57.153963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 496
65.5%
na 261
34.5%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing757
Missing (%)100.0%
Memory size6.8 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03120000PHMA11965312003304110000119650830<NA>3폐업3폐업20090419<NA><NA><NA>02-391-7474<NA>120841서울특별시 서대문구 홍은2동 9-66<NA><NA>삼성의원2009-06-26 17:20:30I2018-08-31 23:59:59.0의원193998.104669453150.854122의원10049.0122가정의학과<NA><NA><NA>00<NA><NA>0<NA>
13120000PHMA11965312003304110000219650830<NA>3폐업3폐업20100630<NA><NA><NA>02-362-2243<NA>120020서울특별시 서대문구 미근동 179<NA><NA>박경호이비인후과의원2010-06-28 14:31:16I2018-08-31 23:59:59.0의원<NA><NA>의원100100.8113이비인후과<NA><NA><NA>00<NA><NA>0<NA>
23120000PHMA11965312003304110000319650830<NA>3폐업3폐업20130618<NA><NA><NA>02-336-2146<NA>120834서울특별시 서대문구 창천동 30-8서울특별시 서대문구 신촌로 93 (창천동)120834주의원2014-04-22 20:40:51I2018-08-31 23:59:59.0의원194315.886085450384.575342의원10065.28101 104내과, 외과<NA><NA><NA>00<NA><NA>0<NA>
33120000PHMA11965312003304110000419650830<NA>3폐업3폐업20100730<NA><NA><NA>02-362-1331<NA>120191서울특별시 서대문구 북아현1동 142-5<NA><NA>이인숙의원2011-07-21 13:32:10I2018-08-31 23:59:59.0의원<NA><NA>의원100126.48110산부인과<NA><NA><NA>00<NA><NA>0<NA>
43120000PHMA11966312003304110000319661202<NA>3폐업3폐업20210201<NA><NA><NA>02-363-6871<NA>120070서울특별시 서대문구 영천동 280서울특별시 서대문구 통일로 201-1 (영천동)3734한일치과의원2022-01-17 09:58:43U2022-01-19 02:40:00.0치과의원196482.727925452101.927756치과의원1000.0401치과<NA><NA><NA>00<NA><NA>0<NA>
53120000PHMA11967312003304110000119670203<NA>3폐업3폐업20080924<NA><NA><NA>02-305-8030<NA>120805서울특별시 서대문구 남가좌1동 268-17<NA><NA>대도의원2008-12-06 09:10:40I2018-08-31 23:59:59.0의원<NA><NA>의원100126.99101 104 110내과, 외과, 산부인과<NA><NA><NA>00<NA><NA>0<NA>
63120000PHMA11967312003304110000219670731<NA>3폐업3폐업20130416<NA><NA><NA>02-3216-8854<NA>120100서울특별시 서대문구 홍은동 48번지 256호서울특별시 서대문구 세검정로 17 (홍은동)<NA>동산한의원2013-04-16 15:14:41I2018-08-31 23:59:59.0한의원194927.001555454446.079444한의원10080.68301한방내과<NA><NA><NA>00<NA><NA>0<NA>
73120000PHMA11968312003304110000219680203<NA>3폐업3폐업20170511<NA><NA><NA>02-735-4495<NA><NA>서울특별시 서대문구 홍제동 179번지 10호서울특별시 서대문구 통일로36나길 3 (홍제동)3630은화한의원2017-05-15 16:47:58I2018-08-31 23:59:59.0한의원195214.56271453964.809187한의원10030.6301한방내과<NA><NA><NA>00<NA><NA>0<NA>
83120000PHMA11968312003304110000319680418<NA>3폐업3폐업20181101<NA><NA><NA>02-324-1329<NA>120834서울특별시 서대문구 창천동 30번지 8호서울특별시 서대문구 연세로 3-3 (창천동)3789신촌이비인후과의원2018-11-01 11:00:17U2018-11-03 02:35:45.0의원194334.203631450391.538497의원10077.0113이비인후과<NA><NA><NA>00<NA><NA>0<NA>
93120000PHMA11968312003304110000519680710<NA>3폐업3폐업20091211<NA><NA><NA>02-373-4009<NA>120805서울특별시 서대문구 남가좌1동 262-217<NA><NA>대송한의원2009-12-11 10:24:53I2018-08-31 23:59:59.0한의원<NA><NA>한의원1000.0301한방내과<NA><NA><NA>00<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
7473120000PHMA1202331200330411000092023-04-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-735-2365<NA><NA><NA>서울특별시 서대문구 통일로 339, 101동 B106-107호 (홍제동, 서대문푸르지오센트럴파크아파트)3731서울본한의원2024-03-26 09:44:12U2023-12-02 22:08:00.0한의원<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7483120000PHMA1202331200330411000102023-08-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3144-3342<NA><NA>서울특별시 서대문구 연희동 702-13서울특별시 서대문구 증가로 84, 107,108호 (연희동)3695연세무지개의원2023-09-01 09:58:31U2022-12-09 00:03:00.0의원193489.683567452522.453102<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7493120000PHMA1202331200330411000112023-08-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-396-1175<NA><NA>서울특별시 서대문구 홍제동 253-7서울특별시 서대문구 통일로 448, 8층 (홍제동)3629서울하트내과의원2023-08-24 20:43:22U2022-12-07 22:06:00.0의원195027.508614454066.290258<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7503120000PHMA1202431200330411000022015-03-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-365-0077<NA><NA>서울특별시 서대문구 북아현동 154-6 헤센스마트 더 센트럴서울특별시 서대문구 신촌로33길 16, 헤센스마트 더 센트럴 2층 (북아현동)3774타임리스피부과의원2024-05-03 00:13:34U2023-12-05 00:05:00.0의원195956.564575450587.039697<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7513120000PHMA1202431200330411000032024-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-325-2828<NA><NA>서울특별시 서대문구 창천동 30-8서울특별시 서대문구 신촌로 93, 광신빌딩 3층 302,303호 (창천동)3789서울재생치과의원2024-04-26 02:43:21U2023-12-03 22:08:00.0치과의원194334.203631450391.538497<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7523120000PHMA1202431200330411000042024-03-07<NA>1영업/정상13영업중<NA><NA><NA><NA>02-304-2886<NA><NA>서울특별시 서대문구 남가좌동 344-33서울특별시 서대문구 증가로 140, 2층 (남가좌동)3665정영호치과교정과치과의원2024-03-15 05:13:19U2023-12-02 23:07:00.0치과의원193042.66699452830.718334<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7533120000PHMA1202431200330411000052000-09-22<NA>1영업/정상13영업중<NA><NA><NA><NA>02-323-9869<NA><NA><NA>서울특별시 서대문구 연희로 42, 재이손빌딩 201호 (연희동)3781연세가정의학과의원2024-04-22 16:39:08U2023-12-03 22:04:00.0의원193559.68949451122.684994<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7543120000PHMA1202431200330411000062024-03-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6952-7475<NA><NA>서울특별시 서대문구 홍제동 158-33 연세24시사우나서울특별시 서대문구 통일로 413, 연세24시사우나 501호 (홍제동)3646연세혜원산부인과의원2024-04-16 04:13:20U2023-12-03 23:08:00.0의원195196.693652453764.706269<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7553120000PHMA1202431200330411000072024-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-375-5575<NA><NA>서울특별시 서대문구 남가좌동 388 DMC센트럴아이파크서울특별시 서대문구 증가로 150, 상가동 지3층 B301,B316, B317호 (남가좌동, DMC센트럴아이파크)3670보아스이비인후과의원2024-04-16 17:27:07U2023-12-03 23:08:00.0의원192922.795142452984.652488<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7563120000PHMA1202431200330411000082024-04-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-379-2879<NA><NA>서울특별시 서대문구 남가좌동 293-21서울특별시 서대문구 수색로2길 19-17, 3층 (남가좌동)3712새이로치과의원2024-05-03 00:13:34U2023-12-05 00:05:00.0치과의원192437.196928451976.579523<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>