Overview

Dataset statistics

Number of variables41
Number of observations836
Missing cells11998
Missing cells (%)35.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory285.1 KiB
Average record size in memory349.2 B

Variable types

Categorical12
Text9
DateTime6
Unsupported9
Numeric5

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),의료기관종별명,의료인수,입원실수,병상수,총면적,진료과목내용,진료과목내용명,지정취소일자,완화의료지정형태,완화의료담당부서명,구급차특수,구급차일반,총인원,구조사수,허가병상수,최초지정일자
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-16218/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (52.0%)Imbalance
영업상태명 is highly imbalanced (52.0%)Imbalance
상세영업상태코드 is highly imbalanced (52.0%)Imbalance
상세영업상태명 is highly imbalanced (52.0%)Imbalance
인허가취소일자 has 836 (100.0%) missing valuesMissing
폐업일자 has 573 (68.5%) missing valuesMissing
휴업시작일자 has 827 (98.9%) missing valuesMissing
휴업종료일자 has 827 (98.9%) missing valuesMissing
재개업일자 has 836 (100.0%) missing valuesMissing
전화번호 has 11 (1.3%) missing valuesMissing
소재지면적 has 836 (100.0%) missing valuesMissing
소재지우편번호 has 286 (34.2%) missing valuesMissing
지번주소 has 67 (8.0%) missing valuesMissing
도로명주소 has 64 (7.7%) missing valuesMissing
도로명우편번호 has 118 (14.1%) missing valuesMissing
좌표정보(X) has 68 (8.1%) missing valuesMissing
좌표정보(Y) has 68 (8.1%) missing valuesMissing
입원실수 has 313 (37.4%) missing valuesMissing
병상수 has 313 (37.4%) missing valuesMissing
총면적 has 313 (37.4%) missing valuesMissing
진료과목내용 has 313 (37.4%) missing valuesMissing
진료과목내용명 has 313 (37.4%) missing valuesMissing
지정취소일자 has 836 (100.0%) missing valuesMissing
완화의료지정형태 has 836 (100.0%) missing valuesMissing
완화의료담당부서명 has 836 (100.0%) missing valuesMissing
총인원 has 836 (100.0%) missing valuesMissing
구조사수 has 836 (100.0%) missing valuesMissing
최초지정일자 has 836 (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 492 (58.9%) zerosZeros
병상수 has 492 (58.9%) zerosZeros
총면적 has 63 (7.5%) zerosZeros

Reproduction

Analysis started2024-04-29 18:55:25.087441
Analysis finished2024-04-29 18:55:26.257230
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
3040000
836 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 836
100.0%

Length

2024-04-30T03:55:26.368485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:26.567063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 836
100.0%

관리번호
Text

UNIQUE 

Distinct836
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2024-04-30T03:55:26.793073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length24.991627
Min length18

Characters and Unicode

Total characters20893
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

Unique836 ?
Unique (%)100.0%

Sample

1st rowPHMA119693040033041100001
2nd rowPHMA119703040033041100001
3rd rowPHMA119733040033041100001
4th rowPHMA119733040033041100002
5th rowPHMA119733040033041100003
ValueCountFrequency (%)
phma119693040033041100001 1
 
0.1%
phma120103040033041100010 1
 
0.1%
phma120113040033041100016 1
 
0.1%
phma120113040033041100006 1
 
0.1%
phma120113040033041100007 1
 
0.1%
phma120113040033041100008 1
 
0.1%
phma120113040033041100009 1
 
0.1%
phma120113040033041100010 1
 
0.1%
phma120113040033041100011 1
 
0.1%
phma120113040033041100012 1
 
0.1%
Other values (826) 826
98.8%
2024-04-30T03:55:27.367040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7329
35.1%
1 3398
16.3%
3 2747
 
13.1%
4 1844
 
8.8%
2 1048
 
5.0%
P 836
 
4.0%
H 836
 
4.0%
M 836
 
4.0%
A 836
 
4.0%
9 473
 
2.3%
Other values (4) 710
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17549
84.0%
Uppercase Letter 3344
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7329
41.8%
1 3398
19.4%
3 2747
 
15.7%
4 1844
 
10.5%
2 1048
 
6.0%
9 473
 
2.7%
8 223
 
1.3%
7 178
 
1.0%
5 159
 
0.9%
6 150
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 836
25.0%
H 836
25.0%
M 836
25.0%
A 836
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17549
84.0%
Latin 3344
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7329
41.8%
1 3398
19.4%
3 2747
 
15.7%
4 1844
 
10.5%
2 1048
 
6.0%
9 473
 
2.7%
8 223
 
1.3%
7 178
 
1.0%
5 159
 
0.9%
6 150
 
0.9%
Latin
ValueCountFrequency (%)
P 836
25.0%
H 836
25.0%
M 836
25.0%
A 836
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20893
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7329
35.1%
1 3398
16.3%
3 2747
 
13.1%
4 1844
 
8.8%
2 1048
 
5.0%
P 836
 
4.0%
H 836
 
4.0%
M 836
 
4.0%
A 836
 
4.0%
9 473
 
2.3%
Other values (4) 710
 
3.4%
Distinct793
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
Minimum1969-06-11 00:00:00
Maximum2024-04-18 00:00:00
2024-04-30T03:55:27.521173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:55:27.672900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing836
Missing (%)100.0%
Memory size7.5 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
1
567 
3
263 
5
 
5
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 567
67.8%
3 263
31.5%
5 5
 
0.6%
2 1
 
0.1%

Length

2024-04-30T03:55:27.820508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:27.940318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 567
67.8%
3 263
31.5%
5 5
 
0.6%
2 1
 
0.1%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
영업/정상
567 
폐업
263 
제외/삭제/전출
 
5
휴업
 
1

Length

Max length8
Median length5
Mean length4.0705742
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 567
67.8%
폐업 263
31.5%
제외/삭제/전출 5
 
0.6%
휴업 1
 
0.1%

Length

2024-04-30T03:55:28.076213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:28.215907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 567
67.8%
폐업 263
31.5%
제외/삭제/전출 5
 
0.6%
휴업 1
 
0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
13
567 
3
263 
15
 
5
2
 
1

Length

Max length2
Median length2
Mean length1.6842105
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
13 567
67.8%
3 263
31.5%
15 5
 
0.6%
2 1
 
0.1%

Length

2024-04-30T03:55:28.346134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:28.465627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 567
67.8%
3 263
31.5%
15 5
 
0.6%
2 1
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
영업중
567 
폐업
263 
전출
 
5
휴업
 
1

Length

Max length3
Median length3
Mean length2.6782297
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 567
67.8%
폐업 263
31.5%
전출 5
 
0.6%
휴업 1
 
0.1%

Length

2024-04-30T03:55:28.602485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:28.734895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 567
67.8%
폐업 263
31.5%
전출 5
 
0.6%
휴업 1
 
0.1%

폐업일자
Date

MISSING 

Distinct248
Distinct (%)94.3%
Missing573
Missing (%)68.5%
Memory size6.7 KiB
Minimum2000-10-04 00:00:00
Maximum2024-03-28 00:00:00
2024-04-30T03:55:28.901090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:55:29.059186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct9
Distinct (%)100.0%
Missing827
Missing (%)98.9%
Memory size6.7 KiB
Minimum2008-12-24 00:00:00
Maximum2024-04-01 00:00:00
2024-04-30T03:55:29.165989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:55:29.260046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

휴업종료일자
Date

MISSING 

Distinct9
Distinct (%)100.0%
Missing827
Missing (%)98.9%
Memory size6.7 KiB
Minimum2009-03-24 00:00:00
Maximum2024-06-01 00:00:00
2024-04-30T03:55:29.355341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:55:29.448353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing836
Missing (%)100.0%
Memory size7.5 KiB

전화번호
Text

MISSING 

Distinct788
Distinct (%)95.5%
Missing11
Missing (%)1.3%
Memory size6.7 KiB
2024-04-30T03:55:29.731321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length9.7151515
Min length8

Characters and Unicode

Total characters8015
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique757 ?
Unique (%)91.8%

Sample

1st row02-466-2339
2nd row02-463-0964
3rd row02-466-9910
4th row02-468-2875
5th row02-446-1172
ValueCountFrequency (%)
456-8275 4
 
0.5%
444-0323 4
 
0.5%
446-2875 3
 
0.4%
540-3353 3
 
0.4%
461-2598 2
 
0.2%
499-9955 2
 
0.2%
446-8275 2
 
0.2%
3409-5511 2
 
0.2%
02-461-3375 2
 
0.2%
3446-7588 2
 
0.2%
Other values (780) 801
96.9%
2024-04-30T03:55:30.233497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1137
14.2%
2 1108
13.8%
4 1061
13.2%
0 944
11.8%
5 883
11.0%
7 643
8.0%
6 615
7.7%
3 473
5.9%
8 448
 
5.6%
1 380
 
4.7%
Other values (4) 323
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6874
85.8%
Dash Punctuation 1137
 
14.2%
Space Separator 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1108
16.1%
4 1061
15.4%
0 944
13.7%
5 883
12.8%
7 643
9.4%
6 615
8.9%
3 473
6.9%
8 448
6.5%
1 380
 
5.5%
9 319
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 1137
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8015
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1137
14.2%
2 1108
13.8%
4 1061
13.2%
0 944
11.8%
5 883
11.0%
7 643
8.0%
6 615
7.7%
3 473
5.9%
8 448
 
5.6%
1 380
 
4.7%
Other values (4) 323
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8015
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1137
14.2%
2 1108
13.8%
4 1061
13.2%
0 944
11.8%
5 883
11.0%
7 643
8.0%
6 615
7.7%
3 473
5.9%
8 448
 
5.6%
1 380
 
4.7%
Other values (4) 323
 
4.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing836
Missing (%)100.0%
Memory size7.5 KiB

소재지우편번호
Text

MISSING 

Distinct148
Distinct (%)26.9%
Missing286
Missing (%)34.2%
Memory size6.7 KiB
2024-04-30T03:55:30.722322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1909091
Min length6

Characters and Unicode

Total characters3405
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

Unique59 ?
Unique (%)10.7%

Sample

1st row143-867
2nd row143842
3rd row143840
4th row143840
5th row143824
ValueCountFrequency (%)
143220 22
 
4.0%
143200 20
 
3.6%
143840 18
 
3.3%
143890 18
 
3.3%
143190 16
 
2.9%
143914 15
 
2.7%
143888 15
 
2.7%
143821 14
 
2.5%
143841 14
 
2.5%
143867 12
 
2.2%
Other values (138) 386
70.2%
2024-04-30T03:55:31.166689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 743
21.8%
4 662
19.4%
3 630
18.5%
8 434
12.7%
0 219
 
6.4%
2 189
 
5.6%
9 168
 
4.9%
- 105
 
3.1%
6 92
 
2.7%
7 92
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3300
96.9%
Dash Punctuation 105
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 743
22.5%
4 662
20.1%
3 630
19.1%
8 434
13.2%
0 219
 
6.6%
2 189
 
5.7%
9 168
 
5.1%
6 92
 
2.8%
7 92
 
2.8%
5 71
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 105
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3405
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 743
21.8%
4 662
19.4%
3 630
18.5%
8 434
12.7%
0 219
 
6.4%
2 189
 
5.6%
9 168
 
4.9%
- 105
 
3.1%
6 92
 
2.7%
7 92
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3405
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 743
21.8%
4 662
19.4%
3 630
18.5%
8 434
12.7%
0 219
 
6.4%
2 189
 
5.6%
9 168
 
4.9%
- 105
 
3.1%
6 92
 
2.7%
7 92
 
2.7%

지번주소
Text

MISSING 

Distinct707
Distinct (%)91.9%
Missing67
Missing (%)8.0%
Memory size6.7 KiB
2024-04-30T03:55:31.414202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length25.958388
Min length9

Characters and Unicode

Total characters19962
Distinct characters204
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique655 ?
Unique (%)85.2%

Sample

1st row서울특별시 광진구 자양동 627-21(1층)
2nd row서울특별시 광진구 자양4동 250번지 21호
3rd row서울특별시 광진구 군자동 356번지 6호 3층
4th row서울특별시 광진구 군자동 361번지 28호 3층
5th row서울특별시 광진구 구의1동 235번지 36호
ValueCountFrequency (%)
광진구 757
 
17.2%
서울특별시 756
 
17.2%
2층 196
 
4.5%
자양동 167
 
3.8%
중곡동 153
 
3.5%
구의동 146
 
3.3%
1호 77
 
1.8%
화양동 74
 
1.7%
3층 74
 
1.7%
2호 45
 
1.0%
Other values (651) 1948
44.3%
2024-04-30T03:55:31.780565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3647
18.3%
944
 
4.7%
819
 
4.1%
796
 
4.0%
784
 
3.9%
1 778
 
3.9%
776
 
3.9%
772
 
3.9%
2 767
 
3.8%
762
 
3.8%
Other values (194) 9117
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11928
59.8%
Decimal Number 4051
 
20.3%
Space Separator 3647
 
18.3%
Dash Punctuation 160
 
0.8%
Other Punctuation 66
 
0.3%
Close Punctuation 46
 
0.2%
Open Punctuation 46
 
0.2%
Uppercase Letter 16
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
944
 
7.9%
819
 
6.9%
796
 
6.7%
784
 
6.6%
776
 
6.5%
772
 
6.5%
762
 
6.4%
757
 
6.3%
757
 
6.3%
665
 
5.6%
Other values (168) 4096
34.3%
Decimal Number
ValueCountFrequency (%)
1 778
19.2%
2 767
18.9%
3 468
11.6%
4 399
9.8%
5 395
9.8%
6 322
7.9%
0 294
 
7.3%
7 240
 
5.9%
9 211
 
5.2%
8 177
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
A 3
18.8%
C 3
18.8%
B 3
18.8%
S 3
18.8%
K 2
12.5%
E 1
 
6.2%
W 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 57
86.4%
. 6
 
9.1%
& 2
 
3.0%
? 1
 
1.5%
Space Separator
ValueCountFrequency (%)
3647
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 160
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11928
59.8%
Common 8018
40.2%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
944
 
7.9%
819
 
6.9%
796
 
6.7%
784
 
6.6%
776
 
6.5%
772
 
6.5%
762
 
6.4%
757
 
6.3%
757
 
6.3%
665
 
5.6%
Other values (168) 4096
34.3%
Common
ValueCountFrequency (%)
3647
45.5%
1 778
 
9.7%
2 767
 
9.6%
3 468
 
5.8%
4 399
 
5.0%
5 395
 
4.9%
6 322
 
4.0%
0 294
 
3.7%
7 240
 
3.0%
9 211
 
2.6%
Other values (9) 497
 
6.2%
Latin
ValueCountFrequency (%)
A 3
18.8%
C 3
18.8%
B 3
18.8%
S 3
18.8%
K 2
12.5%
E 1
 
6.2%
W 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11928
59.8%
ASCII 8034
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3647
45.4%
1 778
 
9.7%
2 767
 
9.5%
3 468
 
5.8%
4 399
 
5.0%
5 395
 
4.9%
6 322
 
4.0%
0 294
 
3.7%
7 240
 
3.0%
9 211
 
2.6%
Other values (16) 513
 
6.4%
Hangul
ValueCountFrequency (%)
944
 
7.9%
819
 
6.9%
796
 
6.7%
784
 
6.6%
776
 
6.5%
772
 
6.5%
762
 
6.4%
757
 
6.3%
757
 
6.3%
665
 
5.6%
Other values (168) 4096
34.3%

도로명주소
Text

MISSING 

Distinct713
Distinct (%)92.4%
Missing64
Missing (%)7.7%
Memory size6.7 KiB
2024-04-30T03:55:32.084553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45
Mean length30.835492
Min length22

Characters and Unicode

Total characters23805
Distinct characters222
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique661 ?
Unique (%)85.6%

Sample

1st row서울특별시 광진구 자양로 81, 1층 (자양동)
2nd row서울특별시 광진구 동일로 74 (자양동)
3rd row서울특별시 광진구 광나루로 351, 3층 (군자동)
4th row서울특별시 광진구 광나루로 375-1, 3층 (군자동)
5th row서울특별시 광진구 자양로 186-1 (구의동)
ValueCountFrequency (%)
서울특별시 772
 
15.7%
광진구 772
 
15.7%
2층 260
 
5.3%
자양동 197
 
4.0%
중곡동 178
 
3.6%
구의동 162
 
3.3%
아차산로 126
 
2.6%
3층 110
 
2.2%
능동로 91
 
1.9%
천호대로 78
 
1.6%
Other values (679) 2156
44.0%
2024-04-30T03:55:32.492417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4131
 
17.4%
987
 
4.1%
929
 
3.9%
, 925
 
3.9%
917
 
3.9%
804
 
3.4%
794
 
3.3%
790
 
3.3%
) 785
 
3.3%
( 785
 
3.3%
Other values (212) 11958
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13565
57.0%
Space Separator 4131
 
17.4%
Decimal Number 3514
 
14.8%
Other Punctuation 939
 
3.9%
Close Punctuation 785
 
3.3%
Open Punctuation 785
 
3.3%
Dash Punctuation 45
 
0.2%
Uppercase Letter 29
 
0.1%
Math Symbol 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
987
 
7.3%
929
 
6.8%
917
 
6.8%
804
 
5.9%
794
 
5.9%
790
 
5.8%
778
 
5.7%
773
 
5.7%
772
 
5.7%
772
 
5.7%
Other values (182) 5249
38.7%
Uppercase Letter
ValueCountFrequency (%)
A 6
20.7%
B 6
20.7%
C 5
17.2%
S 4
13.8%
K 2
 
6.9%
P 1
 
3.4%
G 1
 
3.4%
L 1
 
3.4%
Z 1
 
3.4%
I 1
 
3.4%
Decimal Number
ValueCountFrequency (%)
2 676
19.2%
1 558
15.9%
3 509
14.5%
5 377
10.7%
0 343
9.8%
4 309
8.8%
6 244
 
6.9%
8 176
 
5.0%
7 167
 
4.8%
9 155
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 925
98.5%
. 11
 
1.2%
& 2
 
0.2%
? 1
 
0.1%
Space Separator
ValueCountFrequency (%)
4131
100.0%
Close Punctuation
ValueCountFrequency (%)
) 785
100.0%
Open Punctuation
ValueCountFrequency (%)
( 785
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13565
57.0%
Common 10211
42.9%
Latin 29
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
987
 
7.3%
929
 
6.8%
917
 
6.8%
804
 
5.9%
794
 
5.9%
790
 
5.8%
778
 
5.7%
773
 
5.7%
772
 
5.7%
772
 
5.7%
Other values (182) 5249
38.7%
Common
ValueCountFrequency (%)
4131
40.5%
, 925
 
9.1%
) 785
 
7.7%
( 785
 
7.7%
2 676
 
6.6%
1 558
 
5.5%
3 509
 
5.0%
5 377
 
3.7%
0 343
 
3.4%
4 309
 
3.0%
Other values (9) 813
 
8.0%
Latin
ValueCountFrequency (%)
A 6
20.7%
B 6
20.7%
C 5
17.2%
S 4
13.8%
K 2
 
6.9%
P 1
 
3.4%
G 1
 
3.4%
L 1
 
3.4%
Z 1
 
3.4%
I 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13565
57.0%
ASCII 10240
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4131
40.3%
, 925
 
9.0%
) 785
 
7.7%
( 785
 
7.7%
2 676
 
6.6%
1 558
 
5.4%
3 509
 
5.0%
5 377
 
3.7%
0 343
 
3.3%
4 309
 
3.0%
Other values (20) 842
 
8.2%
Hangul
ValueCountFrequency (%)
987
 
7.3%
929
 
6.8%
917
 
6.8%
804
 
5.9%
794
 
5.9%
790
 
5.8%
778
 
5.7%
773
 
5.7%
772
 
5.7%
772
 
5.7%
Other values (182) 5249
38.7%

도로명우편번호
Text

MISSING 

Distinct157
Distinct (%)21.9%
Missing118
Missing (%)14.1%
Memory size6.7 KiB
2024-04-30T03:55:32.850473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0584958
Min length5

Characters and Unicode

Total characters3632
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

Unique54 ?
Unique (%)7.5%

Sample

1st row05056
2nd row05003
3rd row05005
4th row04914
5th row04911
ValueCountFrequency (%)
05017 26
 
3.6%
04929 21
 
2.9%
05026 20
 
2.8%
05117 18
 
2.5%
05116 18
 
2.5%
04985 18
 
2.5%
04974 17
 
2.4%
04953 16
 
2.2%
04954 16
 
2.2%
04910 16
 
2.2%
Other values (147) 532
74.1%
2024-04-30T03:55:33.466634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1160
31.9%
5 555
15.3%
4 464
 
12.8%
9 416
 
11.5%
1 335
 
9.2%
3 171
 
4.7%
7 163
 
4.5%
8 130
 
3.6%
2 122
 
3.4%
6 115
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3631
> 99.9%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1160
31.9%
5 555
15.3%
4 464
 
12.8%
9 416
 
11.5%
1 335
 
9.2%
3 171
 
4.7%
7 163
 
4.5%
8 130
 
3.6%
2 122
 
3.4%
6 115
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3632
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1160
31.9%
5 555
15.3%
4 464
 
12.8%
9 416
 
11.5%
1 335
 
9.2%
3 171
 
4.7%
7 163
 
4.5%
8 130
 
3.6%
2 122
 
3.4%
6 115
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3632
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1160
31.9%
5 555
15.3%
4 464
 
12.8%
9 416
 
11.5%
1 335
 
9.2%
3 171
 
4.7%
7 163
 
4.5%
8 130
 
3.6%
2 122
 
3.4%
6 115
 
3.2%
Distinct805
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2024-04-30T03:55:33.690104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length15
Mean length7.3588517
Min length3

Characters and Unicode

Total characters6152
Distinct characters407
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

Unique776 ?
Unique (%)92.8%

Sample

1st row동제한의원
2nd row광제의원
3rd row서이비인후과의원
4th row정태련치과의원
5th row동서울신경정신과의원
ValueCountFrequency (%)
치과의원 4
 
0.5%
정치과의원 3
 
0.4%
올리브치과의원 3
 
0.4%
리뉴메카성형외과의원 2
 
0.2%
프리마여성의원 2
 
0.2%
서울의원 2
 
0.2%
메디포맨남성의원 2
 
0.2%
시원한의원 2
 
0.2%
신치과의원 2
 
0.2%
길한의원 2
 
0.2%
Other values (807) 831
97.2%
2024-04-30T03:55:34.004295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
916
 
14.9%
852
 
13.8%
504
 
8.2%
222
 
3.6%
209
 
3.4%
106
 
1.7%
103
 
1.7%
84
 
1.4%
76
 
1.2%
72
 
1.2%
Other values (397) 3008
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6071
98.7%
Uppercase Letter 20
 
0.3%
Space Separator 19
 
0.3%
Decimal Number 11
 
0.2%
Close Punctuation 10
 
0.2%
Open Punctuation 10
 
0.2%
Lowercase Letter 6
 
0.1%
Dash Punctuation 3
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
916
 
15.1%
852
 
14.0%
504
 
8.3%
222
 
3.7%
209
 
3.4%
106
 
1.7%
103
 
1.7%
84
 
1.4%
76
 
1.3%
72
 
1.2%
Other values (374) 2927
48.2%
Uppercase Letter
ValueCountFrequency (%)
S 5
25.0%
T 4
20.0%
M 4
20.0%
J 1
 
5.0%
C 1
 
5.0%
Y 1
 
5.0%
H 1
 
5.0%
G 1
 
5.0%
D 1
 
5.0%
B 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
5 3
27.3%
3 3
27.3%
6 3
27.3%
4 1
 
9.1%
2 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
66.7%
h 1
 
16.7%
r 1
 
16.7%
Space Separator
ValueCountFrequency (%)
19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6070
98.7%
Common 55
 
0.9%
Latin 26
 
0.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
916
 
15.1%
852
 
14.0%
504
 
8.3%
222
 
3.7%
209
 
3.4%
106
 
1.7%
103
 
1.7%
84
 
1.4%
76
 
1.3%
72
 
1.2%
Other values (373) 2926
48.2%
Latin
ValueCountFrequency (%)
S 5
19.2%
T 4
15.4%
e 4
15.4%
M 4
15.4%
J 1
 
3.8%
C 1
 
3.8%
Y 1
 
3.8%
H 1
 
3.8%
G 1
 
3.8%
D 1
 
3.8%
Other values (3) 3
11.5%
Common
ValueCountFrequency (%)
19
34.5%
) 10
18.2%
( 10
18.2%
5 3
 
5.5%
3 3
 
5.5%
6 3
 
5.5%
- 3
 
5.5%
. 2
 
3.6%
4 1
 
1.8%
2 1
 
1.8%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6070
98.7%
ASCII 81
 
1.3%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
916
 
15.1%
852
 
14.0%
504
 
8.3%
222
 
3.7%
209
 
3.4%
106
 
1.7%
103
 
1.7%
84
 
1.4%
76
 
1.3%
72
 
1.2%
Other values (373) 2926
48.2%
ASCII
ValueCountFrequency (%)
19
23.5%
) 10
12.3%
( 10
12.3%
S 5
 
6.2%
T 4
 
4.9%
e 4
 
4.9%
M 4
 
4.9%
5 3
 
3.7%
3 3
 
3.7%
6 3
 
3.7%
Other values (13) 16
19.8%
CJK
ValueCountFrequency (%)
1
100.0%
Distinct725
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
Minimum2008-11-18 11:04:57
Maximum2024-04-25 23:13:15
2024-04-30T03:55:34.140038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:55:34.269438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
U
515 
I
321 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 515
61.6%
I 321
38.4%

Length

2024-04-30T03:55:34.379453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:34.677165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 515
61.6%
i 321
38.4%
Distinct322
Distinct (%)38.5%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-04-30T03:55:34.769841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:55:34.886512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
의원
439 
치과의원
204 
한의원
192 
보건소
 
1

Length

Max length4
Median length2
Mean length2.7188995
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
의원 439
52.5%
치과의원 204
24.4%
한의원 192
23.0%
보건소 1
 
0.1%

Length

2024-04-30T03:55:35.027806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:35.131008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 439
52.5%
치과의원 204
24.4%
한의원 192
23.0%
보건소 1
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct401
Distinct (%)52.2%
Missing68
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean207179.7
Minimum205467.47
Maximum209766.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-04-30T03:55:35.233612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205467.47
5-th percentile205839.84
Q1206278.88
median207227.12
Q3207801.6
95-th percentile208558.29
Maximum209766.97
Range4299.504
Interquartile range (IQR)1522.7146

Descriptive statistics

Standard deviation875.85719
Coefficient of variation (CV)0.0042275242
Kurtosis-0.55874893
Mean207179.7
Median Absolute Deviation (MAD)623.31539
Skewness0.12751148
Sum1.5911401 × 108
Variance767125.81
MonotonicityNot monotonic
2024-04-30T03:55:35.345326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208051.884671132 16
 
1.9%
208558.286631653 13
 
1.6%
205906.77215752 10
 
1.2%
208400.766105381 10
 
1.2%
207281.948699606 9
 
1.1%
208189.434497483 9
 
1.1%
207055.507996434 9
 
1.1%
208526.97532855 8
 
1.0%
207850.438647442 8
 
1.0%
206131.315540787 7
 
0.8%
Other values (391) 669
80.0%
(Missing) 68
 
8.1%
ValueCountFrequency (%)
205467.46954695 2
 
0.2%
205543.06511664 3
0.4%
205558.67706739 2
 
0.2%
205601.232242589 2
 
0.2%
205642.888115746 2
 
0.2%
205655.134613824 1
 
0.1%
205668.424326248 1
 
0.1%
205683.126673457 1
 
0.1%
205695.245621954 1
 
0.1%
205710.073302941 6
0.7%
ValueCountFrequency (%)
209766.973555533 1
 
0.1%
209506.54940258 4
0.5%
209460.824569837 1
 
0.1%
209405.843683882 1
 
0.1%
209405.013333756 1
 
0.1%
209354.687667834 1
 
0.1%
209138.04726487 2
0.2%
209118.502283007 3
0.4%
209056.405858415 1
 
0.1%
209033.339549292 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct401
Distinct (%)52.2%
Missing68
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean449285.96
Minimum447446.9
Maximum452106.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-04-30T03:55:35.463495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447446.9
5-th percentile447866.18
Q1448335.67
median448817.09
Q3450386.06
95-th percentile451415.67
Maximum452106.54
Range4659.6458
Interquartile range (IQR)2050.3912

Descriptive statistics

Standard deviation1152.6602
Coefficient of variation (CV)0.0025655381
Kurtosis-0.92724279
Mean449285.96
Median Absolute Deviation (MAD)764.83183
Skewness0.55490695
Sum3.4505162 × 108
Variance1328625.6
MonotonicityNot monotonic
2024-04-30T03:55:35.610946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447994.805558304 16
 
1.9%
448353.905156369 13
 
1.6%
448710.967950599 10
 
1.2%
448730.872416215 10
 
1.2%
448219.671396301 9
 
1.1%
448129.166313052 9
 
1.1%
450542.187939719 9
 
1.1%
448791.8824094 8
 
1.0%
450066.522171427 8
 
1.0%
448712.391439589 7
 
0.8%
Other values (391) 669
80.0%
(Missing) 68
 
8.1%
ValueCountFrequency (%)
447446.899023804 2
0.2%
447605.102915096 1
 
0.1%
447652.088548007 1
 
0.1%
447698.605234605 2
0.2%
447716.245280942 1
 
0.1%
447717.445119677 1
 
0.1%
447718.681515245 1
 
0.1%
447728.818227552 4
0.5%
447745.557839831 1
 
0.1%
447754.585448225 2
0.2%
ValueCountFrequency (%)
452106.544784594 1
 
0.1%
452076.858608987 1
 
0.1%
452014.973512496 1
 
0.1%
451966.809789853 1
 
0.1%
451860.530261326 1
 
0.1%
451823.918998571 2
0.2%
451819.638034393 3
0.4%
451764.009708785 1
 
0.1%
451719.329086886 1
 
0.1%
451672.917080488 1
 
0.1%
Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
<NA>
313 
의원
273 
치과의원
147 
한의원
102 
보건소
 
1

Length

Max length4
Median length4
Mean length3.2236842
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row의원
3rd row의원
4th row치과의원
5th row의원

Common Values

ValueCountFrequency (%)
<NA> 313
37.4%
의원 273
32.7%
치과의원 147
17.6%
한의원 102
 
12.2%
보건소 1
 
0.1%

Length

2024-04-30T03:55:35.723161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:35.826940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 313
37.4%
의원 273
32.7%
치과의원 147
17.6%
한의원 102
 
12.2%
보건소 1
 
0.1%

의료인수
Categorical

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
1
424 
<NA>
313 
2
77 
3
 
15
4
 
5

Length

Max length4
Median length1
Mean length2.1232057
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row1
3rd row1
4th row1
5th row2

Common Values

ValueCountFrequency (%)
1 424
50.7%
<NA> 313
37.4%
2 77
 
9.2%
3 15
 
1.8%
4 5
 
0.6%
5 2
 
0.2%

Length

2024-04-30T03:55:35.934316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:36.035789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 424
50.7%
na 313
37.4%
2 77
 
9.2%
3 15
 
1.8%
4 5
 
0.6%
5 2
 
0.2%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)2.5%
Missing313
Missing (%)37.4%
Infinite0
Infinite (%)0.0%
Mean0.3709369
Minimum0
Maximum24
Zeros492
Zeros (%)58.9%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-04-30T03:55:36.144059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum24
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.9298215
Coefficient of variation (CV)5.2025601
Kurtosis61.685104
Mean0.3709369
Median Absolute Deviation (MAD)0
Skewness7.0837124
Sum194
Variance3.7242112
MonotonicityNot monotonic
2024-04-30T03:55:36.236899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 492
58.9%
2 5
 
0.6%
1 5
 
0.6%
5 4
 
0.5%
9 3
 
0.4%
7 3
 
0.4%
3 2
 
0.2%
10 2
 
0.2%
6 2
 
0.2%
15 2
 
0.2%
Other values (3) 3
 
0.4%
(Missing) 313
37.4%
ValueCountFrequency (%)
0 492
58.9%
1 5
 
0.6%
2 5
 
0.6%
3 2
 
0.2%
5 4
 
0.5%
6 2
 
0.2%
7 3
 
0.4%
8 1
 
0.1%
9 3
 
0.4%
10 2
 
0.2%
ValueCountFrequency (%)
24 1
 
0.1%
15 2
0.2%
11 1
 
0.1%
10 2
0.2%
9 3
0.4%
8 1
 
0.1%
7 3
0.4%
6 2
0.2%
5 4
0.5%
3 2
0.2%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)3.4%
Missing313
Missing (%)37.4%
Infinite0
Infinite (%)0.0%
Mean0.96749522
Minimum0
Maximum49
Zeros492
Zeros (%)58.9%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-04-30T03:55:36.339628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.9
Maximum49
Range49
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.2785345
Coefficient of variation (CV)5.4558765
Kurtosis42.189027
Mean0.96749522
Median Absolute Deviation (MAD)0
Skewness6.3203806
Sum506
Variance27.862926
MonotonicityNot monotonic
2024-04-30T03:55:36.438089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 492
58.9%
29 5
 
0.6%
3 4
 
0.5%
1 4
 
0.5%
2 2
 
0.2%
4 2
 
0.2%
26 2
 
0.2%
10 2
 
0.2%
48 1
 
0.1%
36 1
 
0.1%
Other values (8) 8
 
1.0%
(Missing) 313
37.4%
ValueCountFrequency (%)
0 492
58.9%
1 4
 
0.5%
2 2
 
0.2%
3 4
 
0.5%
4 2
 
0.2%
5 1
 
0.1%
6 1
 
0.1%
9 1
 
0.1%
10 2
 
0.2%
22 1
 
0.1%
ValueCountFrequency (%)
49 1
 
0.1%
48 1
 
0.1%
37 1
 
0.1%
36 1
 
0.1%
29 5
0.6%
26 2
 
0.2%
25 1
 
0.1%
24 1
 
0.1%
22 1
 
0.1%
10 2
 
0.2%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct426
Distinct (%)81.5%
Missing313
Missing (%)37.4%
Infinite0
Infinite (%)0.0%
Mean131.20497
Minimum0
Maximum1437
Zeros63
Zeros (%)7.5%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-04-30T03:55:36.551978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q178.445
median115
Q3156.115
95-th percentile303.07
Maximum1437
Range1437
Interquartile range (IQR)77.67

Descriptive statistics

Standard deviation120.49328
Coefficient of variation (CV)0.91835911
Kurtosis35.009962
Mean131.20497
Median Absolute Deviation (MAD)39
Skewness4.4054812
Sum68620.2
Variance14518.631
MonotonicityNot monotonic
2024-04-30T03:55:36.683718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 63
 
7.5%
74.53 3
 
0.4%
113.7 3
 
0.4%
120.0 3
 
0.4%
148.59 3
 
0.4%
93.3 3
 
0.4%
132.0 2
 
0.2%
115.0 2
 
0.2%
119.0 2
 
0.2%
141.9 2
 
0.2%
Other values (416) 437
52.3%
(Missing) 313
37.4%
ValueCountFrequency (%)
0.0 63
7.5%
15.5 1
 
0.1%
36.5 1
 
0.1%
37.3 1
 
0.1%
37.62 1
 
0.1%
39.4 1
 
0.1%
42.0 1
 
0.1%
42.12 1
 
0.1%
42.72 1
 
0.1%
43.16 1
 
0.1%
ValueCountFrequency (%)
1437.0 1
0.1%
1006.99 1
0.1%
869.27 1
0.1%
668.0 1
0.1%
578.84 1
0.1%
578.3 1
0.1%
552.0 1
0.1%
509.26 1
0.1%
486.6 1
0.1%
466.0 1
0.1%

진료과목내용
Text

MISSING 

Distinct244
Distinct (%)46.7%
Missing313
Missing (%)37.4%
Memory size6.7 KiB
2024-04-30T03:55:36.890803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length47
Mean length14.296367
Min length3

Characters and Unicode

Total characters7477
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

Unique199 ?
Unique (%)38.0%

Sample

1st row111 101 104
2nd row113
3rd row401
4th row103 102
5th row301
ValueCountFrequency (%)
101 156
 
7.8%
114 138
 
6.9%
401 121
 
6.1%
111 114
 
5.7%
301 102
 
5.1%
113 84
 
4.2%
308 67
 
3.4%
115 67
 
3.4%
122 67
 
3.4%
302 67
 
3.4%
Other values (48) 1016
50.8%
2024-04-30T03:55:37.217770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2112
28.2%
1476
19.7%
0 1437
19.2%
3 766
 
10.2%
4 617
 
8.3%
2 396
 
5.3%
5 223
 
3.0%
8 151
 
2.0%
6 136
 
1.8%
7 92
 
1.2%
Other values (2) 71
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6000
80.2%
Space Separator 1476
 
19.7%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2112
35.2%
0 1437
23.9%
3 766
 
12.8%
4 617
 
10.3%
2 396
 
6.6%
5 223
 
3.7%
8 151
 
2.5%
6 136
 
2.3%
7 92
 
1.5%
9 70
 
1.2%
Space Separator
ValueCountFrequency (%)
1476
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7477
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2112
28.2%
1476
19.7%
0 1437
19.2%
3 766
 
10.2%
4 617
 
8.3%
2 396
 
5.3%
5 223
 
3.0%
8 151
 
2.0%
6 136
 
1.8%
7 92
 
1.2%
Other values (2) 71
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7477
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2112
28.2%
1476
19.7%
0 1437
19.2%
3 766
 
10.2%
4 617
 
8.3%
2 396
 
5.3%
5 223
 
3.0%
8 151
 
2.0%
6 136
 
1.8%
7 92
 
1.2%
Other values (2) 71
 
0.9%

진료과목내용명
Text

MISSING 

Distinct176
Distinct (%)33.7%
Missing313
Missing (%)37.4%
Memory size6.7 KiB
2024-04-30T03:55:37.392436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length133
Median length69
Mean length22.969407
Min length2

Characters and Unicode

Total characters12013
Distinct characters67
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

Unique130 ?
Unique (%)24.9%

Sample

1st row내과, 외과, 소아청소년과
2nd row이비인후과
3rd row치과
4th row신경과, 정신건강의학과
5th row한방내과
ValueCountFrequency (%)
내과 156
 
7.8%
피부과 137
 
6.9%
치과 122
 
6.1%
소아청소년과 114
 
5.7%
한방내과 102
 
5.1%
이비인후과 84
 
4.2%
한방부인과 67
 
3.4%
가정의학과 67
 
3.4%
비뇨의학과 67
 
3.4%
침구과 67
 
3.4%
Other values (37) 1013
50.8%
2024-04-30T03:55:37.714076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2079
17.3%
, 1473
 
12.3%
1473
 
12.3%
468
 
3.9%
435
 
3.6%
345
 
2.9%
344
 
2.9%
321
 
2.7%
319
 
2.7%
313
 
2.6%
Other values (57) 4443
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8939
74.4%
Other Punctuation 1601
 
13.3%
Space Separator 1473
 
12.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2079
23.3%
468
 
5.2%
435
 
4.9%
345
 
3.9%
344
 
3.8%
321
 
3.6%
319
 
3.6%
313
 
3.5%
286
 
3.2%
256
 
2.9%
Other values (54) 3773
42.2%
Other Punctuation
ValueCountFrequency (%)
, 1473
92.0%
? 128
 
8.0%
Space Separator
ValueCountFrequency (%)
1473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8939
74.4%
Common 3074
 
25.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2079
23.3%
468
 
5.2%
435
 
4.9%
345
 
3.9%
344
 
3.8%
321
 
3.6%
319
 
3.6%
313
 
3.5%
286
 
3.2%
256
 
2.9%
Other values (54) 3773
42.2%
Common
ValueCountFrequency (%)
, 1473
47.9%
1473
47.9%
? 128
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8939
74.4%
ASCII 3074
 
25.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2079
23.3%
468
 
5.2%
435
 
4.9%
345
 
3.9%
344
 
3.8%
321
 
3.6%
319
 
3.6%
313
 
3.5%
286
 
3.2%
256
 
2.9%
Other values (54) 3773
42.2%
ASCII
ValueCountFrequency (%)
, 1473
47.9%
1473
47.9%
? 128
 
4.2%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing836
Missing (%)100.0%
Memory size7.5 KiB

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing836
Missing (%)100.0%
Memory size7.5 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing836
Missing (%)100.0%
Memory size7.5 KiB

구급차특수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
0
523 
<NA>
313 

Length

Max length4
Median length1
Mean length2.1232057
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 523
62.6%
<NA> 313
37.4%

Length

2024-04-30T03:55:37.833979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:37.934698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 523
62.6%
na 313
37.4%

구급차일반
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
0
523 
<NA>
313 

Length

Max length4
Median length1
Mean length2.1232057
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 523
62.6%
<NA> 313
37.4%

Length

2024-04-30T03:55:38.038454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:38.147194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 523
62.6%
na 313
37.4%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing836
Missing (%)100.0%
Memory size7.5 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing836
Missing (%)100.0%
Memory size7.5 KiB

허가병상수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
0
523 
<NA>
313 

Length

Max length4
Median length1
Mean length2.1232057
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 523
62.6%
<NA> 313
37.4%

Length

2024-04-30T03:55:38.252506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:38.339610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 523
62.6%
na 313
37.4%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing836
Missing (%)100.0%
Memory size7.5 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03040000PHMA1196930400330411000011969-06-11<NA>1영업/정상13영업중<NA><NA><NA><NA>02-466-2339<NA>143-867서울특별시 광진구 자양동 627-21(1층)서울특별시 광진구 자양로 81, 1층 (자양동)05056동제한의원2023-08-18 10:51:36U2022-12-07 22:00:00.0한의원207341.768148448093.474633<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13040000PHMA11970304003304110000119700825<NA>3폐업3폐업20160311<NA><NA><NA>02-463-0964<NA>143842서울특별시 광진구 자양4동 250번지 21호서울특별시 광진구 동일로 74 (자양동)<NA>광제의원2016-03-11 13:32:13I2018-08-31 23:59:59.0의원205467.469547448559.329667의원1000.0111 101 104내과, 외과, 소아청소년과<NA><NA><NA>00<NA><NA>0<NA>
23040000PHMA11973304003304110000119730404<NA>3폐업3폐업20201013<NA><NA><NA>02-466-9910<NA>143840서울특별시 광진구 군자동 356번지 6호 3층서울특별시 광진구 광나루로 351, 3층 (군자동)05003서이비인후과의원2020-10-13 17:14:39U2020-12-03 02:40:00.0의원206025.355191449576.340648의원1000.0113이비인후과<NA><NA><NA>00<NA><NA>0<NA>
33040000PHMA11973304003304110000219730627<NA>1영업/정상13영업중<NA><NA><NA><NA>02-468-2875<NA>143840서울특별시 광진구 군자동 361번지 28호 3층서울특별시 광진구 광나루로 375-1, 3층 (군자동)05005정태련치과의원2017-09-05 18:39:01I2018-08-31 23:59:59.0치과의원206270.522449449548.404427치과의원100113.1401치과<NA><NA><NA>00<NA><NA>0<NA>
43040000PHMA11973304003304110000319731031<NA>3폐업3폐업20141001<NA><NA><NA>02-446-1172<NA>143824서울특별시 광진구 구의1동 235번지 36호서울특별시 광진구 자양로 186-1 (구의동)<NA>동서울신경정신과의원2014-10-01 17:47:48I2018-08-31 23:59:59.0의원207459.056739449102.948903의원2000.0103 102신경과, 정신건강의학과<NA><NA><NA>00<NA><NA>0<NA>
53040000PHMA11973304003304110000419731220<NA>1영업/정상13영업중<NA><NA><NA><NA>02-446-5080<NA>143817서울특별시 광진구 구의2동 53번지 4호 3층서울특별시 광진구 천호대로 665 (구의동,3층)<NA>서울더편한치과의원2022-06-03 01:15:22U2021-12-06 00:07:00.0치과의원207907.884299449938.014731<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63040000PHMA11974304003304110000119740521<NA>3폐업3폐업20200531<NA><NA><NA>02-467-2748<NA>143904서울특별시 광진구 중곡동 242번지 1호 2층서울특별시 광진구 긴고랑로 42-1, 2층 (중곡동)04914보생한의원2020-06-01 17:06:35U2020-06-04 02:40:00.0한의원207089.386862451144.54013한의원1000.0301한방내과<NA><NA><NA>00<NA><NA>0<NA>
73040000PHMA11974304003304110000219740523<NA>1영업/정상13영업중<NA><NA><NA><NA>02-467-5158<NA>143903서울특별시 광진구 중곡동 231번지 8호 2층서울특별시 광진구 면목로 113-1, 2층 (중곡동)04911남경치과의원2017-09-05 18:39:01I2018-08-31 23:59:59.0치과의원206996.31439451295.860659치과의원1000.0401치과<NA><NA><NA>00<NA><NA>0<NA>
83040000PHMA11974304003304110000319740806<NA>3폐업3폐업20001004<NA><NA><NA><NA><NA>143890서울특별시 광진구 중곡2동 117번지 9호서울특별시 광진구 용마산로 15 (중곡동)<NA>고려소아과의원2009-07-20 10:51:48I2018-08-31 23:59:59.0의원207711.685629450319.62277의원1000.0111소아청소년과<NA><NA><NA>00<NA><NA>0<NA>
93040000PHMA1197530400330411000011975-09-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-444-6969<NA><NA>서울특별시 광진구 중곡동 115-4서울특별시 광진구 천호대로 647, 2층 (중곡동)04953서울연세임정규우상치과의원2023-09-27 09:20:26U2022-12-08 22:09:00.0치과의원207824.309885450114.867822<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
8263040000PHMA1202330400330411000222023-10-10<NA>1영업/정상13영업중<NA><NA><NA><NA>02-455-2080<NA><NA>서울특별시 광진구 중곡동 115-12서울특별시 광진구 천호대로 653, 5층 (중곡동)04953서울미니플란트치과의원2023-10-13 04:13:13U2022-10-30 23:05:00.0치과의원207850.438647450066.522171<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8273040000PHMA1202330400330411000232023-10-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-456-4091<NA><NA>서울특별시 광진구 중곡동 341-29 광동빌딩서울특별시 광진구 천호대로 571, 광동빌딩 4층 (중곡동)04929류마김예리내과의원2023-10-27 03:13:14U2022-10-30 22:09:00.0의원207147.398684450494.906098<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8283040000PHMA1202330400330411000242023-11-15<NA>1영업/정상13영업중<NA><NA><NA><NA>02-453-1100<NA><NA><NA>서울특별시 광진구 뚝섬로 548, 2층 (자양동)05090스타한의원2024-04-18 17:54:44U2023-12-03 22:00:00.0한의원206190.256186448027.866874<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8293040000PHMA1202330400330411000252023-12-07<NA>1영업/정상13영업중<NA><NA><NA><NA>02-467-8288<NA><NA>서울특별시 광진구 군자동 477-17서울특별시 광진구 능동로 295, 2층 (군자동)04997올유메디컬의원2024-04-04 20:43:13U2023-12-04 00:06:00.0의원206864.714426450440.011309<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8303040000PHMA1202330400330411000262023-12-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-465-7791<NA><NA>서울특별시 광진구 자양동 5-13서울특별시 광진구 동일로20길 106, 1,2층 (자양동)05073데이뷰의원2024-02-12 00:43:15U2023-12-01 23:04:00.0의원206040.411078448600.954335<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8313040000PHMA1202430400330411000012024-02-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1833-6233<NA><NA>서울특별시 광진구 화양동 7-2 삼진빌딩서울특별시 광진구 아차산로 237, 삼진빌딩 2층 (화양동)05018블리비의원2024-03-28 15:16:58U2023-12-02 21:00:00.0의원206095.633065448699.143307<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8323040000PHMA1202430400330411000022024-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-456-7737<NA><NA>서울특별시 광진구 자양동 779-8서울특별시 광진구 자양로 109, 3층 301, 302호 (자양동)05026메이퓨어의원2024-04-19 00:43:14U2023-12-03 22:01:00.0의원207272.149511448355.730766<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8333040000PHMA1202430400330411000032024-03-06<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6958-7520<NA><NA>서울특별시 광진구 화양동 6-1서울특별시 광진구 능동로 103, 5층 1호 (화양동)05017건대역레오정형외과의원2024-04-18 22:13:13U2023-12-03 22:00:00.0의원206163.281974448682.578828<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8343040000PHMA1202430400330411000042024-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-499-9911<NA><NA>서울특별시 광진구 군자동 477-17 ES빌딩서울특별시 광진구 능동로 295, ES빌딩 1층 102호 (군자동)04997군자성모정형외과의원2024-04-11 20:43:13U2023-12-03 23:03:00.0의원206864.714426450440.011309<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8353040000PHMA1202430400330411000052024-04-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6958-5755<NA><NA>서울특별시 광진구 군자동 27-2서울특별시 광진구 능동로 261, 지하1층, 2~6층 (군자동)04998루트여성의원2024-04-18 14:36:08I2023-12-03 22:00:00.0의원206746.70833450141.931842<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>