Overview

Dataset statistics

Number of variables41
Number of observations844
Missing cells11957
Missing cells (%)34.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory290.3 KiB
Average record size in memory352.2 B

Variable types

Categorical13
Text8
DateTime4
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
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-16223/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (97.7%)Imbalance
휴업종료일자 is highly imbalanced (97.7%)Imbalance
인허가취소일자 has 844 (100.0%) missing valuesMissing
폐업일자 has 363 (43.0%) missing valuesMissing
재개업일자 has 844 (100.0%) missing valuesMissing
전화번호 has 10 (1.2%) missing valuesMissing
소재지면적 has 844 (100.0%) missing valuesMissing
소재지우편번호 has 398 (47.2%) missing valuesMissing
지번주소 has 115 (13.6%) missing valuesMissing
도로명주소 has 373 (44.2%) missing valuesMissing
도로명우편번호 has 394 (46.7%) missing valuesMissing
좌표정보(X) has 388 (46.0%) missing valuesMissing
좌표정보(Y) has 388 (46.0%) missing valuesMissing
의료인수 has 322 (38.2%) missing valuesMissing
입원실수 has 322 (38.2%) missing valuesMissing
병상수 has 322 (38.2%) missing valuesMissing
총면적 has 322 (38.2%) missing valuesMissing
진료과목내용 has 322 (38.2%) missing valuesMissing
진료과목내용명 has 322 (38.2%) missing valuesMissing
지정취소일자 has 844 (100.0%) missing valuesMissing
완화의료지정형태 has 844 (100.0%) missing valuesMissing
완화의료담당부서명 has 844 (100.0%) missing valuesMissing
총인원 has 844 (100.0%) missing valuesMissing
구조사수 has 844 (100.0%) missing valuesMissing
최초지정일자 has 844 (100.0%) missing valuesMissing
총면적 is highly skewed (γ1 = 20.3700607)Skewed
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 486 (57.6%) zerosZeros
병상수 has 480 (56.9%) zerosZeros
총면적 has 223 (26.4%) zerosZeros

Reproduction

Analysis started2024-05-11 02:59:10.040931
Analysis finished2024-05-11 02:59:12.043670
Duration2 seconds
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
3090000
844 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3090000
2nd row3090000
3rd row3090000
4th row3090000
5th row3090000

Common Values

ValueCountFrequency (%)
3090000 844
100.0%

Length

2024-05-11T02:59:12.303440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:59:12.753459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3090000 844
100.0%

관리번호
Text

UNIQUE 

Distinct844
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2024-05-11T02:59:13.178014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters21100
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

Unique844 ?
Unique (%)100.0%

Sample

1st rowPHMA119673090033041100001
2nd rowPHMA119693090033041100001
3rd rowPHMA119703090033041100001
4th rowPHMA119713090033041100001
5th rowPHMA119723090033041100001
ValueCountFrequency (%)
phma119673090033041100001 1
 
0.1%
phma120063090033041100019 1
 
0.1%
phma120053090033041100023 1
 
0.1%
phma120063090033041100006 1
 
0.1%
phma120053090033041100024 1
 
0.1%
phma120053090033041100025 1
 
0.1%
phma120053090033041100026 1
 
0.1%
phma120053090033041100027 1
 
0.1%
phma120053090033041100028 1
 
0.1%
phma120063090033041100001 1
 
0.1%
Other values (834) 834
98.8%
2024-05-11T02:59:14.147176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7275
34.5%
1 3460
16.4%
3 2788
 
13.2%
9 1567
 
7.4%
4 1047
 
5.0%
2 897
 
4.3%
P 844
 
4.0%
H 844
 
4.0%
M 844
 
4.0%
A 844
 
4.0%
Other values (4) 690
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17724
84.0%
Uppercase Letter 3376
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7275
41.0%
1 3460
19.5%
3 2788
 
15.7%
9 1567
 
8.8%
4 1047
 
5.9%
2 897
 
5.1%
8 186
 
1.0%
7 181
 
1.0%
6 162
 
0.9%
5 161
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 844
25.0%
H 844
25.0%
M 844
25.0%
A 844
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17724
84.0%
Latin 3376
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7275
41.0%
1 3460
19.5%
3 2788
 
15.7%
9 1567
 
8.8%
4 1047
 
5.9%
2 897
 
5.1%
8 186
 
1.0%
7 181
 
1.0%
6 162
 
0.9%
5 161
 
0.9%
Latin
ValueCountFrequency (%)
P 844
25.0%
H 844
25.0%
M 844
25.0%
A 844
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7275
34.5%
1 3460
16.4%
3 2788
 
13.2%
9 1567
 
7.4%
4 1047
 
5.0%
2 897
 
4.3%
P 844
 
4.0%
H 844
 
4.0%
M 844
 
4.0%
A 844
 
4.0%
Other values (4) 690
 
3.3%
Distinct775
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
Minimum1967-12-29 00:00:00
Maximum2024-03-19 00:00:00
2024-05-11T02:59:14.593974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:59:15.138594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing844
Missing (%)100.0%
Memory size7.5 KiB
Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
3
477 
1
363 
4
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 477
56.5%
1 363
43.0%
4 4
 
0.5%

Length

2024-05-11T02:59:15.606201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:59:16.431786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 477
56.5%
1 363
43.0%
4 4
 
0.5%

영업상태명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
폐업
477 
영업/정상
363 
취소/말소/만료/정지/중지
 
4

Length

Max length14
Median length2
Mean length3.3471564
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 477
56.5%
영업/정상 363
43.0%
취소/말소/만료/정지/중지 4
 
0.5%

Length

2024-05-11T02:59:16.926247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:59:17.441375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 477
56.5%
영업/정상 363
43.0%
취소/말소/만료/정지/중지 4
 
0.5%
Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
3
477 
13
363 
24
 
4

Length

Max length2
Median length1
Mean length1.4348341
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 477
56.5%
13 363
43.0%
24 4
 
0.5%

Length

2024-05-11T02:59:17.966994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:59:18.438653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 477
56.5%
13 363
43.0%
24 4
 
0.5%
Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
폐업
477 
영업중
363 
직권폐업
 
4

Length

Max length4
Median length2
Mean length2.4395735
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 477
56.5%
영업중 363
43.0%
직권폐업 4
 
0.5%

Length

2024-05-11T02:59:18.997005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:59:19.383622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 477
56.5%
영업중 363
43.0%
직권폐업 4
 
0.5%

폐업일자
Date

MISSING 

Distinct462
Distinct (%)96.0%
Missing363
Missing (%)43.0%
Memory size6.7 KiB
Minimum1994-04-20 00:00:00
Maximum2024-02-29 00:00:00
2024-05-11T02:59:19.803923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:59:20.400383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
<NA>
840 
20140603
 
1
20140911
 
1
20210524
 
1
20101001
 
1

Length

Max length8
Median length4
Mean length4.0189573
Min length4

Unique

Unique4 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 840
99.5%
20140603 1
 
0.1%
20140911 1
 
0.1%
20210524 1
 
0.1%
20101001 1
 
0.1%

Length

2024-05-11T02:59:20.890900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:59:21.258397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 840
99.5%
20140603 1
 
0.1%
20140911 1
 
0.1%
20210524 1
 
0.1%
20101001 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
<NA>
840 
20140702
 
1
20141211
 
1
20210630
 
1
20110101
 
1

Length

Max length8
Median length4
Mean length4.0189573
Min length4

Unique

Unique4 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 840
99.5%
20140702 1
 
0.1%
20141211 1
 
0.1%
20210630 1
 
0.1%
20110101 1
 
0.1%

Length

2024-05-11T02:59:21.742951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:59:22.130027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 840
99.5%
20140702 1
 
0.1%
20141211 1
 
0.1%
20210630 1
 
0.1%
20110101 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing844
Missing (%)100.0%
Memory size7.5 KiB

전화번호
Text

MISSING 

Distinct685
Distinct (%)82.1%
Missing10
Missing (%)1.2%
Memory size6.7 KiB
2024-05-11T02:59:22.886030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.979616
Min length3

Characters and Unicode

Total characters9157
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

Unique581 ?
Unique (%)69.7%

Sample

1st row02-955-2525
2nd row02-954-1274
3rd row02-954-3106
4th row02-992-6382
5th row02-992-4742
ValueCountFrequency (%)
02 7
 
0.8%
02-900-7988 6
 
0.7%
02-998-3600 5
 
0.6%
02-956-8825 4
 
0.5%
02-955-3554 4
 
0.5%
02-955-5073 4
 
0.5%
02-993-4700 4
 
0.5%
02-955-1772 4
 
0.5%
02-997-2875 4
 
0.5%
02-956-5533 4
 
0.5%
Other values (675) 788
94.5%
2024-05-11T02:59:24.098271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1612
17.6%
0 1526
16.7%
2 1321
14.4%
9 1299
14.2%
5 797
8.7%
3 529
 
5.8%
7 459
 
5.0%
4 448
 
4.9%
8 426
 
4.7%
1 374
 
4.1%
Other values (3) 366
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7539
82.3%
Dash Punctuation 1612
 
17.6%
Other Punctuation 3
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1526
20.2%
2 1321
17.5%
9 1299
17.2%
5 797
10.6%
3 529
 
7.0%
7 459
 
6.1%
4 448
 
5.9%
8 426
 
5.7%
1 374
 
5.0%
6 360
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 1612
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9157
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1612
17.6%
0 1526
16.7%
2 1321
14.4%
9 1299
14.2%
5 797
8.7%
3 529
 
5.8%
7 459
 
5.0%
4 448
 
4.9%
8 426
 
4.7%
1 374
 
4.1%
Other values (3) 366
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9157
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1612
17.6%
0 1526
16.7%
2 1321
14.4%
9 1299
14.2%
5 797
8.7%
3 529
 
5.8%
7 459
 
5.0%
4 448
 
4.9%
8 426
 
4.7%
1 374
 
4.1%
Other values (3) 366
 
4.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing844
Missing (%)100.0%
Memory size7.5 KiB

소재지우편번호
Text

MISSING 

Distinct147
Distinct (%)33.0%
Missing398
Missing (%)47.2%
Memory size6.7 KiB
2024-05-11T02:59:25.210403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.3206278
Min length6

Characters and Unicode

Total characters2819
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

Unique57 ?
Unique (%)12.8%

Sample

1st row132-814
2nd row132820
3rd row132864
4th row132-819
5th row132757
ValueCountFrequency (%)
132854 17
 
3.8%
132-924 13
 
2.9%
132820 10
 
2.2%
132848 10
 
2.2%
132866 10
 
2.2%
132908 9
 
2.0%
132898 9
 
2.0%
132924 8
 
1.8%
132821 8
 
1.8%
132847 8
 
1.8%
Other values (137) 344
77.1%
2024-05-11T02:59:27.261252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 556
19.7%
2 549
19.5%
3 521
18.5%
8 335
11.9%
9 174
 
6.2%
0 161
 
5.7%
4 159
 
5.6%
- 143
 
5.1%
7 95
 
3.4%
6 67
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2676
94.9%
Dash Punctuation 143
 
5.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 556
20.8%
2 549
20.5%
3 521
19.5%
8 335
12.5%
9 174
 
6.5%
0 161
 
6.0%
4 159
 
5.9%
7 95
 
3.6%
6 67
 
2.5%
5 59
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 143
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2819
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 556
19.7%
2 549
19.5%
3 521
18.5%
8 335
11.9%
9 174
 
6.2%
0 161
 
5.7%
4 159
 
5.6%
- 143
 
5.1%
7 95
 
3.4%
6 67
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2819
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 556
19.7%
2 549
19.5%
3 521
18.5%
8 335
11.9%
9 174
 
6.2%
0 161
 
5.7%
4 159
 
5.6%
- 143
 
5.1%
7 95
 
3.4%
6 67
 
2.4%

지번주소
Text

MISSING 

Distinct569
Distinct (%)78.1%
Missing115
Missing (%)13.6%
Memory size6.7 KiB
2024-05-11T02:59:28.431364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40
Mean length23.707819
Min length2

Characters and Unicode

Total characters17283
Distinct characters180
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

Unique468 ?
Unique (%)64.2%

Sample

1st row서울특별시 도봉구 도봉1동 595 럭키(아) 106-202
2nd row서울특별시 도봉구 도봉동 566번지 5호
3rd row서울특별시 도봉구 도봉1동 617-16
4th row서울특별시 도봉구 쌍문3동 96-1
5th row서울특별시 도봉구 도봉1동 600-42
ValueCountFrequency (%)
서울특별시 721
20.3%
도봉구 720
20.3%
창동 104
 
2.9%
방학1동 76
 
2.1%
방학동 74
 
2.1%
쌍문동 54
 
1.5%
창5동 52
 
1.5%
쌍문2동 49
 
1.4%
2층 47
 
1.3%
창4동 45
 
1.3%
Other values (674) 1605
45.2%
2024-05-11T02:59:29.787011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2825
 
16.3%
833
 
4.8%
833
 
4.8%
773
 
4.5%
727
 
4.2%
727
 
4.2%
723
 
4.2%
722
 
4.2%
721
 
4.2%
721
 
4.2%
Other values (170) 7678
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9717
56.2%
Decimal Number 4109
23.8%
Space Separator 2825
 
16.3%
Dash Punctuation 407
 
2.4%
Other Punctuation 93
 
0.5%
Close Punctuation 46
 
0.3%
Open Punctuation 46
 
0.3%
Uppercase Letter 39
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
833
 
8.6%
833
 
8.6%
773
 
8.0%
727
 
7.5%
727
 
7.5%
723
 
7.4%
722
 
7.4%
721
 
7.4%
721
 
7.4%
281
 
2.9%
Other values (142) 2656
27.3%
Decimal Number
ValueCountFrequency (%)
1 707
17.2%
2 584
14.2%
3 537
13.1%
6 469
11.4%
5 441
10.7%
0 407
9.9%
4 282
 
6.9%
7 279
 
6.8%
8 208
 
5.1%
9 195
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
A 12
30.8%
E 7
17.9%
S 6
15.4%
L 3
 
7.7%
G 3
 
7.7%
Q 2
 
5.1%
D 2
 
5.1%
B 2
 
5.1%
R 1
 
2.6%
C 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 90
96.8%
/ 2
 
2.2%
. 1
 
1.1%
Space Separator
ValueCountFrequency (%)
2825
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 407
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9717
56.2%
Common 7527
43.6%
Latin 39
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
833
 
8.6%
833
 
8.6%
773
 
8.0%
727
 
7.5%
727
 
7.5%
723
 
7.4%
722
 
7.4%
721
 
7.4%
721
 
7.4%
281
 
2.9%
Other values (142) 2656
27.3%
Common
ValueCountFrequency (%)
2825
37.5%
1 707
 
9.4%
2 584
 
7.8%
3 537
 
7.1%
6 469
 
6.2%
5 441
 
5.9%
- 407
 
5.4%
0 407
 
5.4%
4 282
 
3.7%
7 279
 
3.7%
Other values (8) 589
 
7.8%
Latin
ValueCountFrequency (%)
A 12
30.8%
E 7
17.9%
S 6
15.4%
L 3
 
7.7%
G 3
 
7.7%
Q 2
 
5.1%
D 2
 
5.1%
B 2
 
5.1%
R 1
 
2.6%
C 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9717
56.2%
ASCII 7566
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2825
37.3%
1 707
 
9.3%
2 584
 
7.7%
3 537
 
7.1%
6 469
 
6.2%
5 441
 
5.8%
- 407
 
5.4%
0 407
 
5.4%
4 282
 
3.7%
7 279
 
3.7%
Other values (18) 628
 
8.3%
Hangul
ValueCountFrequency (%)
833
 
8.6%
833
 
8.6%
773
 
8.0%
727
 
7.5%
727
 
7.5%
723
 
7.4%
722
 
7.4%
721
 
7.4%
721
 
7.4%
281
 
2.9%
Other values (142) 2656
27.3%

도로명주소
Text

MISSING 

Distinct431
Distinct (%)91.5%
Missing373
Missing (%)44.2%
Memory size6.7 KiB
2024-05-11T02:59:30.612108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length47
Mean length30.356688
Min length21

Characters and Unicode

Total characters14298
Distinct characters182
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

Unique401 ?
Unique (%)85.1%

Sample

1st row서울특별시 도봉구 도봉로181길 25 (도봉동)
2nd row서울특별시 도봉구 해등로 155 (쌍문동)
3rd row서울특별시 도봉구 도봉로 813 (도봉동)
4th row서울특별시 도봉구 도봉로 477 (쌍문동)
5th row서울특별시 도봉구 도봉로 475-1, 4층 (쌍문동)
ValueCountFrequency (%)
서울특별시 471
 
16.1%
도봉구 471
 
16.1%
창동 181
 
6.2%
도봉로 141
 
4.8%
방학동 132
 
4.5%
쌍문동 103
 
3.5%
2층 89
 
3.0%
3층 59
 
2.0%
도봉동 54
 
1.8%
덕릉로 36
 
1.2%
Other values (477) 1189
40.6%
2024-05-11T02:59:32.178103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2455
 
17.2%
763
 
5.3%
728
 
5.1%
, 505
 
3.5%
498
 
3.5%
480
 
3.4%
) 473
 
3.3%
( 473
 
3.3%
472
 
3.3%
472
 
3.3%
Other values (172) 6979
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7969
55.7%
Space Separator 2455
 
17.2%
Decimal Number 2350
 
16.4%
Other Punctuation 505
 
3.5%
Close Punctuation 473
 
3.3%
Open Punctuation 473
 
3.3%
Dash Punctuation 38
 
0.3%
Uppercase Letter 29
 
0.2%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
763
 
9.6%
728
 
9.1%
498
 
6.2%
480
 
6.0%
472
 
5.9%
472
 
5.9%
471
 
5.9%
471
 
5.9%
471
 
5.9%
471
 
5.9%
Other values (149) 2672
33.5%
Decimal Number
ValueCountFrequency (%)
1 373
15.9%
2 350
14.9%
3 339
14.4%
0 227
9.7%
6 221
9.4%
5 210
8.9%
4 204
8.7%
8 170
7.2%
7 146
 
6.2%
9 110
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
E 7
24.1%
S 6
20.7%
A 6
20.7%
G 4
13.8%
L 4
13.8%
B 1
 
3.4%
Q 1
 
3.4%
Space Separator
ValueCountFrequency (%)
2455
100.0%
Other Punctuation
ValueCountFrequency (%)
, 505
100.0%
Close Punctuation
ValueCountFrequency (%)
) 473
100.0%
Open Punctuation
ValueCountFrequency (%)
( 473
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7969
55.7%
Common 6300
44.1%
Latin 29
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
763
 
9.6%
728
 
9.1%
498
 
6.2%
480
 
6.0%
472
 
5.9%
472
 
5.9%
471
 
5.9%
471
 
5.9%
471
 
5.9%
471
 
5.9%
Other values (149) 2672
33.5%
Common
ValueCountFrequency (%)
2455
39.0%
, 505
 
8.0%
) 473
 
7.5%
( 473
 
7.5%
1 373
 
5.9%
2 350
 
5.6%
3 339
 
5.4%
0 227
 
3.6%
6 221
 
3.5%
5 210
 
3.3%
Other values (6) 674
 
10.7%
Latin
ValueCountFrequency (%)
E 7
24.1%
S 6
20.7%
A 6
20.7%
G 4
13.8%
L 4
13.8%
B 1
 
3.4%
Q 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7969
55.7%
ASCII 6329
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2455
38.8%
, 505
 
8.0%
) 473
 
7.5%
( 473
 
7.5%
1 373
 
5.9%
2 350
 
5.5%
3 339
 
5.4%
0 227
 
3.6%
6 221
 
3.5%
5 210
 
3.3%
Other values (13) 703
 
11.1%
Hangul
ValueCountFrequency (%)
763
 
9.6%
728
 
9.1%
498
 
6.2%
480
 
6.0%
472
 
5.9%
472
 
5.9%
471
 
5.9%
471
 
5.9%
471
 
5.9%
471
 
5.9%
Other values (149) 2672
33.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct122
Distinct (%)27.1%
Missing394
Missing (%)46.7%
Infinite0
Infinite (%)0.0%
Mean9863.2467
Minimum1302
Maximum132959
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-05-11T02:59:32.710588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1302
5-th percentile1311.8
Q11350
median1405
Q31447
95-th percentile132800.55
Maximum132959
Range131657
Interquartile range (IQR)97

Descriptive statistics

Standard deviation32305.782
Coefficient of variation (CV)3.27537
Kurtosis10.718185
Mean9863.2467
Median Absolute Deviation (MAD)49
Skewness3.5595651
Sum4438461
Variance1.0436635 × 109
MonotonicityNot monotonic
2024-05-11T02:59:33.317924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1405 34
 
4.0%
1454 20
 
2.4%
1340 18
 
2.1%
1394 13
 
1.5%
1473 13
 
1.5%
1384 13
 
1.5%
1432 12
 
1.4%
1447 12
 
1.4%
1331 11
 
1.3%
1443 11
 
1.3%
Other values (112) 293
34.7%
(Missing) 394
46.7%
ValueCountFrequency (%)
1302 1
 
0.1%
1303 1
 
0.1%
1304 9
1.1%
1306 2
 
0.2%
1307 4
0.5%
1308 1
 
0.1%
1309 1
 
0.1%
1310 4
0.5%
1314 1
 
0.1%
1318 4
0.5%
ValueCountFrequency (%)
132959 1
0.1%
132926 1
0.1%
132924 1
0.1%
132917 2
0.2%
132904 2
0.2%
132880 1
0.1%
132871 1
0.1%
132858 1
0.1%
132854 1
0.1%
132851 1
0.1%
Distinct754
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2024-05-11T02:59:33.948941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length6.9810427
Min length3

Characters and Unicode

Total characters5892
Distinct characters334
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

Unique682 ?
Unique (%)80.8%

Sample

1st row주상원의원
2nd row남진한의원
3rd row홍소아청소년과의원
4th row성진한의원
5th row이규진의원
ValueCountFrequency (%)
은혜치과의원 4
 
0.5%
상쾌한아침한의원 4
 
0.5%
가화정신과의원 3
 
0.4%
제일성심한의원 3
 
0.4%
미소치과의원 3
 
0.4%
현대중앙의원 3
 
0.4%
보생한의원 3
 
0.4%
서울웨스트치과의원 3
 
0.4%
백두대간한의원 3
 
0.4%
국도성모의원 3
 
0.4%
Other values (751) 821
96.2%
2024-05-11T02:59:35.261025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
905
 
15.4%
864
 
14.7%
512
 
8.7%
236
 
4.0%
233
 
4.0%
98
 
1.7%
92
 
1.6%
89
 
1.5%
75
 
1.3%
69
 
1.2%
Other values (324) 2719
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5857
99.4%
Uppercase Letter 11
 
0.2%
Space Separator 9
 
0.2%
Lowercase Letter 4
 
0.1%
Dash Punctuation 4
 
0.1%
Decimal Number 3
 
0.1%
Other Punctuation 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
905
 
15.5%
864
 
14.8%
512
 
8.7%
236
 
4.0%
233
 
4.0%
98
 
1.7%
92
 
1.6%
89
 
1.5%
75
 
1.3%
69
 
1.2%
Other values (307) 2684
45.8%
Uppercase Letter
ValueCountFrequency (%)
A 3
27.3%
I 2
18.2%
S 1
 
9.1%
G 1
 
9.1%
M 1
 
9.1%
L 1
 
9.1%
C 1
 
9.1%
B 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
5 1
33.3%
9 1
33.3%
Space Separator
ValueCountFrequency (%)
9
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5856
99.4%
Common 20
 
0.3%
Latin 15
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
905
 
15.5%
864
 
14.8%
512
 
8.7%
236
 
4.0%
233
 
4.0%
98
 
1.7%
92
 
1.6%
89
 
1.5%
75
 
1.3%
69
 
1.2%
Other values (306) 2683
45.8%
Latin
ValueCountFrequency (%)
e 4
26.7%
A 3
20.0%
I 2
13.3%
S 1
 
6.7%
G 1
 
6.7%
M 1
 
6.7%
L 1
 
6.7%
C 1
 
6.7%
B 1
 
6.7%
Common
ValueCountFrequency (%)
9
45.0%
- 4
20.0%
& 2
 
10.0%
1 1
 
5.0%
5 1
 
5.0%
9 1
 
5.0%
) 1
 
5.0%
( 1
 
5.0%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5856
99.4%
ASCII 35
 
0.6%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
905
 
15.5%
864
 
14.8%
512
 
8.7%
236
 
4.0%
233
 
4.0%
98
 
1.7%
92
 
1.6%
89
 
1.5%
75
 
1.3%
69
 
1.2%
Other values (306) 2683
45.8%
ASCII
ValueCountFrequency (%)
9
25.7%
e 4
11.4%
- 4
11.4%
A 3
 
8.6%
I 2
 
5.7%
& 2
 
5.7%
S 1
 
2.9%
G 1
 
2.9%
1 1
 
2.9%
5 1
 
2.9%
Other values (7) 7
20.0%
CJK
ValueCountFrequency (%)
1
100.0%
Distinct522
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
Minimum2008-12-01 18:53:07
Maximum2024-05-09 22:13:15
2024-05-11T02:59:35.652057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:59:36.056940image/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
I
461 
U
383 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 461
54.6%
U 383
45.4%

Length

2024-05-11T02:59:36.437864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:59:36.718022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 461
54.6%
u 383
45.4%
Distinct167
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T02:59:37.054866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:59:37.417665image/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
428 
치과의원
227 
한의원
188 
보건소
 
1

Length

Max length4
Median length2
Mean length2.7618483
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
의원 428
50.7%
치과의원 227
26.9%
한의원 188
22.3%
보건소 1
 
0.1%

Length

2024-05-11T02:59:37.865265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:59:38.232394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 428
50.7%
치과의원 227
26.9%
한의원 188
22.3%
보건소 1
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct242
Distinct (%)53.1%
Missing388
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean203457.87
Minimum201104.59
Maximum204623.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-05-11T02:59:38.700785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201104.59
5-th percentile202418.71
Q1203036.6
median203463.77
Q3203984.14
95-th percentile204375.13
Maximum204623.02
Range3518.4336
Interquartile range (IQR)947.5366

Descriptive statistics

Standard deviation642.87542
Coefficient of variation (CV)0.0031597472
Kurtosis1.9127538
Mean203457.87
Median Absolute Deviation (MAD)472.6654
Skewness-0.95532278
Sum92776787
Variance413288.8
MonotonicityNot monotonic
2024-05-11T02:59:39.126025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204083.769271308 10
 
1.2%
203348.210556651 8
 
0.9%
204462.811445887 8
 
0.9%
202999.2675169 8
 
0.9%
203663.222587199 7
 
0.8%
203953.833720651 7
 
0.8%
202966.7837047 7
 
0.8%
203070.330612638 6
 
0.7%
204313.906829097 6
 
0.7%
203984.137173444 6
 
0.7%
Other values (232) 383
45.4%
(Missing) 388
46.0%
ValueCountFrequency (%)
201104.585304581 2
0.2%
201106.663338126 3
0.4%
201122.155870704 2
0.2%
201167.086526829 2
0.2%
201336.358352057 1
 
0.1%
202117.289389766 1
 
0.1%
202130.057009008 1
 
0.1%
202156.280949692 1
 
0.1%
202165.628385398 1
 
0.1%
202165.632836592 1
 
0.1%
ValueCountFrequency (%)
204623.018873403 3
 
0.4%
204468.657003222 2
 
0.2%
204462.811445887 8
0.9%
204428.262955437 1
 
0.1%
204414.113861369 1
 
0.1%
204413.616574592 1
 
0.1%
204407.370788838 3
 
0.4%
204391.615 2
 
0.2%
204383.782399605 2
 
0.2%
204372.245062863 2
 
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct242
Distinct (%)53.1%
Missing388
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean461746.5
Minimum459054.65
Maximum465042.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-05-11T02:59:39.540109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum459054.65
5-th percentile459665.74
Q1460887.45
median461589.78
Q3462578.17
95-th percentile464174.85
Maximum465042.49
Range5987.8412
Interquartile range (IQR)1690.7169

Descriptive statistics

Standard deviation1213.129
Coefficient of variation (CV)0.002627262
Kurtosis-0.042203025
Mean461746.5
Median Absolute Deviation (MAD)894.39602
Skewness0.39386372
Sum2.105564 × 108
Variance1471682
MonotonicityNot monotonic
2024-05-11T02:59:39.978203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
462849.020752258 10
 
1.2%
461557.310544671 8
 
0.9%
461156.29642481 8
 
0.9%
460616.701327584 8
 
0.9%
462505.455032714 7
 
0.8%
462675.950480622 7
 
0.8%
460551.406386109 7
 
0.8%
462578.165612375 6
 
0.7%
461347.878668101 6
 
0.7%
461008.914009807 6
 
0.7%
Other values (232) 383
45.4%
(Missing) 388
46.0%
ValueCountFrequency (%)
459054.652119336 1
 
0.1%
459075.856049098 1
 
0.1%
459455.335504597 1
 
0.1%
459494.640820124 1
 
0.1%
459545.219568062 1
 
0.1%
459562.387889858 1
 
0.1%
459562.721417759 1
 
0.1%
459577.841091567 1
 
0.1%
459584.582698404 1
 
0.1%
459596.859470058 3
0.4%
ValueCountFrequency (%)
465042.493324016 1
 
0.1%
464973.884141836 1
 
0.1%
464814.717432497 3
0.4%
464638.133327247 1
 
0.1%
464633.761055876 3
0.4%
464621.700290709 1
 
0.1%
464619.316546324 1
 
0.1%
464597.202705501 2
0.2%
464591.516973411 1
 
0.1%
464559.878016906 1
 
0.1%
Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
<NA>
322 
의원
275 
치과의원
142 
한의원
104 
보건소
 
1

Length

Max length4
Median length4
Mean length3.2239336
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 322
38.2%
의원 275
32.6%
치과의원 142
16.8%
한의원 104
 
12.3%
보건소 1
 
0.1%

Length

2024-05-11T02:59:40.436869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:59:40.786644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 322
38.2%
의원 275
32.6%
치과의원 142
16.8%
한의원 104
 
12.3%
보건소 1
 
0.1%

의료인수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)1.1%
Missing322
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean1.0823755
Minimum0
Maximum12
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-05-11T02:59:41.127781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.72182571
Coefficient of variation (CV)0.6668903
Kurtosis200.93364
Mean1.0823755
Median Absolute Deviation (MAD)0
Skewness13.553782
Sum565
Variance0.52103235
MonotonicityNot monotonic
2024-05-11T02:59:41.481348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 498
59.0%
2 18
 
2.1%
0 2
 
0.2%
12 2
 
0.2%
3 1
 
0.1%
4 1
 
0.1%
(Missing) 322
38.2%
ValueCountFrequency (%)
0 2
 
0.2%
1 498
59.0%
2 18
 
2.1%
3 1
 
0.1%
4 1
 
0.1%
12 2
 
0.2%
ValueCountFrequency (%)
12 2
 
0.2%
4 1
 
0.1%
3 1
 
0.1%
2 18
 
2.1%
1 498
59.0%
0 2
 
0.2%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)2.1%
Missing322
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean0.35249042
Minimum0
Maximum13
Zeros486
Zeros (%)57.6%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-05-11T02:59:41.828179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.5234203
Coefficient of variation (CV)4.3218773
Kurtosis24.298281
Mean0.35249042
Median Absolute Deviation (MAD)0
Skewness4.8319527
Sum184
Variance2.3208095
MonotonicityNot monotonic
2024-05-11T02:59:42.208173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 486
57.6%
8 9
 
1.1%
1 7
 
0.8%
5 5
 
0.6%
4 5
 
0.6%
2 3
 
0.4%
9 2
 
0.2%
7 2
 
0.2%
3 1
 
0.1%
13 1
 
0.1%
(Missing) 322
38.2%
ValueCountFrequency (%)
0 486
57.6%
1 7
 
0.8%
2 3
 
0.4%
3 1
 
0.1%
4 5
 
0.6%
5 5
 
0.6%
6 1
 
0.1%
7 2
 
0.2%
8 9
 
1.1%
9 2
 
0.2%
ValueCountFrequency (%)
13 1
 
0.1%
9 2
 
0.2%
8 9
1.1%
7 2
 
0.2%
6 1
 
0.1%
5 5
0.6%
4 5
0.6%
3 1
 
0.1%
2 3
 
0.4%
1 7
0.8%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)3.8%
Missing322
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean1.2337165
Minimum0
Maximum49
Zeros480
Zeros (%)56.9%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-05-11T02:59:42.574546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum49
Range49
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.4377451
Coefficient of variation (CV)4.4076133
Kurtosis26.572199
Mean1.2337165
Median Absolute Deviation (MAD)0
Skewness5.0333019
Sum644
Variance29.569072
MonotonicityNot monotonic
2024-05-11T02:59:42.923559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 480
56.9%
29 7
 
0.8%
5 5
 
0.6%
28 4
 
0.5%
1 4
 
0.5%
2 3
 
0.4%
20 2
 
0.2%
4 2
 
0.2%
27 2
 
0.2%
6 2
 
0.2%
Other values (10) 11
 
1.3%
(Missing) 322
38.2%
ValueCountFrequency (%)
0 480
56.9%
1 4
 
0.5%
2 3
 
0.4%
3 2
 
0.2%
4 2
 
0.2%
5 5
 
0.6%
6 2
 
0.2%
7 1
 
0.1%
9 1
 
0.1%
12 1
 
0.1%
ValueCountFrequency (%)
49 1
 
0.1%
29 7
0.8%
28 4
0.5%
27 2
 
0.2%
26 1
 
0.1%
23 1
 
0.1%
20 2
 
0.2%
18 1
 
0.1%
16 1
 
0.1%
14 1
 
0.1%

총면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct226
Distinct (%)43.3%
Missing322
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean114.64354
Minimum0
Maximum12501
Zeros223
Zeros (%)26.4%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-05-11T02:59:43.294187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median59.785
Q3119.36
95-th percentile346.14
Maximum12501
Range12501
Interquartile range (IQR)119.36

Descriptive statistics

Standard deviation565.26738
Coefficient of variation (CV)4.9306517
Kurtosis444.85012
Mean114.64354
Median Absolute Deviation (MAD)59.785
Skewness20.370061
Sum59843.93
Variance319527.21
MonotonicityNot monotonic
2024-05-11T02:59:43.762557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 223
26.4%
76.0 5
 
0.6%
81.0 4
 
0.5%
51.0 4
 
0.5%
70.0 4
 
0.5%
66.0 4
 
0.5%
119.36 4
 
0.5%
100.0 4
 
0.5%
78.0 3
 
0.4%
65.0 3
 
0.4%
Other values (216) 264
31.3%
(Missing) 322
38.2%
ValueCountFrequency (%)
0.0 223
26.4%
18.45 2
 
0.2%
31.0 1
 
0.1%
32.89 1
 
0.1%
33.0 1
 
0.1%
33.6 1
 
0.1%
34.0 1
 
0.1%
37.0 2
 
0.2%
39.06 1
 
0.1%
40.0 2
 
0.2%
ValueCountFrequency (%)
12501.0 1
 
0.1%
1739.38 1
 
0.1%
1484.11 1
 
0.1%
1090.08 1
 
0.1%
914.0 1
 
0.1%
624.68 1
 
0.1%
598.9 2
0.2%
546.96 3
0.4%
534.0 1
 
0.1%
465.55 1
 
0.1%

진료과목내용
Text

MISSING 

Distinct111
Distinct (%)21.3%
Missing322
Missing (%)38.2%
Memory size6.7 KiB
2024-05-11T02:59:44.200244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length3
Mean length13.344828
Min length3

Characters and Unicode

Total characters6966
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

Unique91 ?
Unique (%)17.4%

Sample

1st row101
2nd row111
3rd row101
4th row101
5th row101
ValueCountFrequency (%)
101 239
 
12.8%
401 126
 
6.7%
301 104
 
5.6%
302 104
 
5.6%
303 104
 
5.6%
304 104
 
5.6%
305 104
 
5.6%
306 104
 
5.6%
307 104
 
5.6%
308 104
 
5.6%
Other values (45) 675
36.1%
2024-05-11T02:59:45.168850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1629
23.4%
1 1384
19.9%
1350
19.4%
3 1095
15.7%
4 456
 
6.5%
2 331
 
4.8%
5 184
 
2.6%
6 152
 
2.2%
8 137
 
2.0%
7 130
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5616
80.6%
Space Separator 1350
 
19.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1629
29.0%
1 1384
24.6%
3 1095
19.5%
4 456
 
8.1%
2 331
 
5.9%
5 184
 
3.3%
6 152
 
2.7%
8 137
 
2.4%
7 130
 
2.3%
9 118
 
2.1%
Space Separator
ValueCountFrequency (%)
1350
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6966
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1629
23.4%
1 1384
19.9%
1350
19.4%
3 1095
15.7%
4 456
 
6.5%
2 331
 
4.8%
5 184
 
2.6%
6 152
 
2.2%
8 137
 
2.0%
7 130
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6966
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1629
23.4%
1 1384
19.9%
1350
19.4%
3 1095
15.7%
4 456
 
6.5%
2 331
 
4.8%
5 184
 
2.6%
6 152
 
2.2%
8 137
 
2.0%
7 130
 
1.9%

진료과목내용명
Text

MISSING 

Distinct97
Distinct (%)18.6%
Missing322
Missing (%)38.2%
Memory size6.7 KiB
2024-05-11T02:59:45.574475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length141
Median length2
Mean length22.168582
Min length2

Characters and Unicode

Total characters11572
Distinct characters68
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

Unique78 ?
Unique (%)14.9%

Sample

1st row내과
2nd row소아청소년과
3rd row내과
4th row내과
5th row내과
ValueCountFrequency (%)
내과 239
 
12.8%
치과 126
 
6.7%
한방내과 104
 
5.6%
한방부인과 104
 
5.6%
한방소아과 104
 
5.6%
한방안?이비인후?피부과 104
 
5.6%
한방신경정신과 104
 
5.6%
한방재활의학과 104
 
5.6%
사상체질과 104
 
5.6%
침구과 104
 
5.6%
Other values (36) 675
36.1%
2024-05-11T02:59:46.447901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1943
16.8%
, 1350
 
11.7%
1350
 
11.7%
745
 
6.4%
712
 
6.2%
365
 
3.2%
283
 
2.4%
274
 
2.4%
262
 
2.3%
235
 
2.0%
Other values (58) 4053
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8664
74.9%
Other Punctuation 1558
 
13.5%
Space Separator 1350
 
11.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1943
22.4%
745
 
8.6%
712
 
8.2%
365
 
4.2%
283
 
3.3%
274
 
3.2%
262
 
3.0%
235
 
2.7%
234
 
2.7%
220
 
2.5%
Other values (55) 3391
39.1%
Other Punctuation
ValueCountFrequency (%)
, 1350
86.6%
? 208
 
13.4%
Space Separator
ValueCountFrequency (%)
1350
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8664
74.9%
Common 2908
 
25.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1943
22.4%
745
 
8.6%
712
 
8.2%
365
 
4.2%
283
 
3.3%
274
 
3.2%
262
 
3.0%
235
 
2.7%
234
 
2.7%
220
 
2.5%
Other values (55) 3391
39.1%
Common
ValueCountFrequency (%)
, 1350
46.4%
1350
46.4%
? 208
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8664
74.9%
ASCII 2908
 
25.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1943
22.4%
745
 
8.6%
712
 
8.2%
365
 
4.2%
283
 
3.3%
274
 
3.2%
262
 
3.0%
235
 
2.7%
234
 
2.7%
220
 
2.5%
Other values (55) 3391
39.1%
ASCII
ValueCountFrequency (%)
, 1350
46.4%
1350
46.4%
? 208
 
7.2%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing844
Missing (%)100.0%
Memory size7.5 KiB

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing844
Missing (%)100.0%
Memory size7.5 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing844
Missing (%)100.0%
Memory size7.5 KiB

구급차특수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
0
522 
<NA>
322 

Length

Max length4
Median length1
Mean length2.1445498
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 522
61.8%
<NA> 322
38.2%

Length

2024-05-11T02:59:46.867028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:59:47.174921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 522
61.8%
na 322
38.2%

구급차일반
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
0
522 
<NA>
322 

Length

Max length4
Median length1
Mean length2.1445498
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 522
61.8%
<NA> 322
38.2%

Length

2024-05-11T02:59:47.416078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:59:47.640478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 522
61.8%
na 322
38.2%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing844
Missing (%)100.0%
Memory size7.5 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing844
Missing (%)100.0%
Memory size7.5 KiB

허가병상수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
0
522 
<NA>
322 

Length

Max length4
Median length1
Mean length2.1445498
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 522
61.8%
<NA> 322
38.2%

Length

2024-05-11T02:59:47.988957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:59:48.332973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 522
61.8%
na 322
38.2%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing844
Missing (%)100.0%
Memory size7.5 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03090000PHMA11967309003304110000119671229<NA>3폐업3폐업19961031<NA><NA><NA>02-955-2525<NA><NA>서울특별시 도봉구 도봉1동 595 럭키(아) 106-202<NA><NA>주상원의원2008-12-01 18:53:15I2018-08-31 23:59:59.0의원<NA><NA>의원1000.0101내과<NA><NA><NA>00<NA><NA>0<NA>
13090000PHMA1196930900330411000011969-06-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-954-1274<NA>132-814서울특별시 도봉구 도봉동 566번지 5호서울특별시 도봉구 도봉로181길 25 (도봉동)1304남진한의원2023-07-10 11:07:24U2022-12-06 23:03:00.0한의원203855.291595464621.700291<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23090000PHMA11970309003304110000119700707<NA>3폐업3폐업20110502<NA><NA><NA>02-954-3106<NA>132820서울특별시 도봉구 도봉1동 617-16<NA><NA>홍소아청소년과의원2011-07-14 10:06:27I2018-08-31 23:59:59.0의원<NA><NA>의원1000.0111소아청소년과<NA><NA><NA>00<NA><NA>0<NA>
33090000PHMA11971309003304110000119710527<NA>3폐업3폐업20220329<NA><NA><NA>02-992-6382<NA><NA><NA>서울특별시 도봉구 해등로 155 (쌍문동)1432성진한의원2022-03-29 16:41:39U2021-12-02 21:01:00.0한의원203378.861235461589.777133<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43090000PHMA11972309003304110000119720804<NA>3폐업3폐업20040619<NA><NA><NA>02-992-4742<NA>132864서울특별시 도봉구 쌍문3동 96-1<NA><NA>이규진의원2008-12-01 18:53:15I2018-08-31 23:59:59.0의원<NA><NA>의원1000.0101내과<NA><NA><NA>00<NA><NA>0<NA>
53090000PHMA1197330900330411000011973-02-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-954-0237<NA>132-819서울특별시 도봉구 도봉1동 600-42서울특별시 도봉구 도봉로 813 (도봉동)1307유외과의원2023-07-13 17:53:02U2022-12-06 23:06:00.0의원203860.803661463853.358361<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63090000PHMA11973309003304110000219730710<NA>3폐업3폐업20040715<NA><NA><NA>02-954-0377<NA>132757서울특별시 도봉구 도봉2동 30-1 한신(아) 상가 205<NA><NA>이가정의학과의원2008-12-01 18:53:15I2018-08-31 23:59:59.0의원<NA><NA>의원1000.0101내과<NA><NA><NA>00<NA><NA>0<NA>
73090000PHMA11973309003304110000319731022<NA>3폐업3폐업20001031<NA><NA><NA>02-954-0650<NA><NA>서울특별시 도봉구 도봉1동 617-5<NA><NA>송강의원2008-12-01 18:53:15I2018-08-31 23:59:59.0의원<NA><NA>의원1000.0101내과<NA><NA><NA>00<NA><NA>0<NA>
83090000PHMA11973309003304110000419731026<NA>3폐업3폐업20040825<NA><NA><NA>02-954-0981<NA>132819서울특별시 도봉구 도봉1동 603-32<NA><NA>삼보한의원2008-12-01 18:53:15I2018-08-31 23:59:59.0한의원<NA><NA>한의원1000.0301 302 303 304 305 306 307 308 309한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과, 한방응급과<NA><NA><NA>00<NA><NA>0<NA>
93090000PHMA1197330900330411000051973-11-09<NA>1영업/정상13영업중<NA><NA><NA><NA>02-992-6353<NA><NA><NA>서울특별시 도봉구 도봉로 477 (쌍문동)1443이영수의원2023-08-24 09:16:13U2022-12-07 22:06:00.0의원202948.835576460673.229415<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
8343090000PHMA1202330900330411000082023-09-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6077-8800<NA><NA>서울특별시 도봉구 창동 1-28 씨드큐브 창동 501-2호서울특별시 도봉구 마들로13길 61, 씨드큐브 창동 5층 501-2호 (창동)1413서울넘버원내과의원2023-09-15 02:13:14U2022-12-08 23:07:00.0의원204313.906829461347.878668<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8353090000PHMA1202330900330411000092023-09-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6077-8880<NA><NA>서울특별시 도봉구 창동 1-28 씨드큐브 창동서울특별시 도봉구 마들로13길 61, 씨드큐브 창동 4층 401-6,7,8호 (창동)1413창동으뜸정형외과의원2024-04-18 23:13:15U2023-12-03 22:00:00.0의원204313.906829461347.878668<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8363090000PHMA1202330900330411000102023-10-10<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6077-8811<NA><NA>서울특별시 도봉구 창동 1-28 씨드큐브 창동서울특별시 도봉구 마들로13길 61, 씨드큐브 창동 3층 301-3호 (창동)1413멜로우피부과의원2024-05-03 04:43:13U2023-12-05 00:05:00.0의원204313.906829461347.878668<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8373090000PHMA1202330900330411000112023-10-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6431-2875<NA><NA>서울특별시 도봉구 창동 1-28 씨드큐브 창동서울특별시 도봉구 마들로13길 61, 씨드큐브 창동 5층 501-1, 501-6~8호 (창동)1413온아치과의원2023-12-08 08:13:14U2022-11-01 23:00:00.0치과의원204313.906829461347.878668<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8383090000PHMA1202330900330411000122023-10-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6952-7598<NA><NA>서울특별시 도봉구 창동 581-76서울특별시 도봉구 덕릉로 239, 2,3층 2호 (창동)1470탑연합의원2024-04-12 03:43:13U2023-12-03 23:04:00.0의원203306.984665459651.160108<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8393090000PHMA1202330900330411000132023-10-17<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6077-8833<NA><NA>서울특별시 도봉구 창동 1-28 씨드큐브 창동서울특별시 도봉구 마들로13길 61, 씨드큐브 창동 4층 401-1~5호 (창동)1413서울아이나여성의원2024-03-21 23:13:15U2023-12-02 22:03:00.0의원204313.906829461347.878668<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8403090000PHMA1202330900330411000142023-10-17<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6225-2575<NA><NA>서울특별시 도봉구 창동 1-28 씨드큐브 창동서울특별시 도봉구 마들로13길 61, 씨드큐브 창동 5층 501-3~5호 (창동)1413삼성온아이비인후과의원2023-10-19 21:13:12U2022-10-30 22:01:00.0의원204313.906829461347.878668<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8413090000PHMA1202330900330411000152023-12-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-904-2875<NA><NA>서울특별시 도봉구 창동 659-11서울특별시 도봉구 도봉로 486, 4,5층 (창동)1454더편한플란트치과의원2024-03-08 23:13:15U2023-12-02 23:00:00.0치과의원203036.600578460709.997259<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8423090000PHMA1202430900330411000012024-03-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3494-2228<NA><NA>서울특별시 도봉구 방학동 665-8서울특별시 도봉구 방학로 158, 1~2층 (방학동)1356연세휴치과보존과치과의원2024-03-22 02:13:15U2023-12-02 22:04:00.0치과의원202972.388684462259.417829<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8433090000PHMA1202430900330411000022024-03-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6953-0175<NA><NA><NA>서울특별시 도봉구 노해로 341, 신원리베르텔 3층 309~310호 (창동)1405경희다시봄한의원2024-04-05 04:13:12U2023-12-04 00:07:00.0한의원203984.137173461008.91401<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>