Overview

Dataset statistics

Number of variables41
Number of observations687
Missing cells10359
Missing cells (%)36.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory234.9 KiB
Average record size in memory350.2 B

Variable types

Categorical11
Text8
DateTime6
Unsupported9
Numeric7

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),의료기관종별명,의료인수,입원실수,병상수,총면적,진료과목내용,진료과목내용명,지정취소일자,완화의료지정형태,완화의료담당부서명,구급차특수,구급차일반,총인원,구조사수,허가병상수,최초지정일자
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-16222/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (51.5%)Imbalance
영업상태명 is highly imbalanced (51.5%)Imbalance
상세영업상태코드 is highly imbalanced (51.5%)Imbalance
상세영업상태명 is highly imbalanced (51.5%)Imbalance
인허가취소일자 has 687 (100.0%) missing valuesMissing
폐업일자 has 459 (66.8%) missing valuesMissing
휴업시작일자 has 680 (99.0%) missing valuesMissing
휴업종료일자 has 680 (99.0%) missing valuesMissing
재개업일자 has 687 (100.0%) missing valuesMissing
소재지면적 has 687 (100.0%) missing valuesMissing
소재지우편번호 has 341 (49.6%) missing valuesMissing
지번주소 has 74 (10.8%) missing valuesMissing
도로명주소 has 12 (1.7%) missing valuesMissing
도로명우편번호 has 125 (18.2%) missing valuesMissing
좌표정보(X) has 26 (3.8%) missing valuesMissing
좌표정보(Y) has 26 (3.8%) missing valuesMissing
의료인수 has 292 (42.5%) missing valuesMissing
입원실수 has 292 (42.5%) missing valuesMissing
병상수 has 292 (42.5%) missing valuesMissing
총면적 has 292 (42.5%) missing valuesMissing
진료과목내용 has 292 (42.5%) missing valuesMissing
진료과목내용명 has 292 (42.5%) missing valuesMissing
지정취소일자 has 687 (100.0%) missing valuesMissing
완화의료지정형태 has 687 (100.0%) missing valuesMissing
완화의료담당부서명 has 687 (100.0%) missing valuesMissing
총인원 has 687 (100.0%) missing valuesMissing
구조사수 has 687 (100.0%) missing valuesMissing
최초지정일자 has 687 (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 357 (52.0%) zerosZeros
병상수 has 355 (51.7%) zerosZeros
총면적 has 10 (1.5%) zerosZeros

Reproduction

Analysis started2024-05-11 06:41:58.215843
Analysis finished2024-05-11 06:42:00.965891
Duration2.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
3080000
687 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3080000
2nd row3080000
3rd row3080000
4th row3080000
5th row3080000

Common Values

ValueCountFrequency (%)
3080000 687
100.0%

Length

2024-05-11T06:42:01.330007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:42:01.778939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 687
100.0%

관리번호
Text

UNIQUE 

Distinct687
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
2024-05-11T06:42:02.534416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters17175
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

Unique687 ?
Unique (%)100.0%

Sample

1st rowPHMA119673080033041100001
2nd rowPHMA119683080033041100001
3rd rowPHMA119683080033041100002
4th rowPHMA119693080033041100001
5th rowPHMA119693080033041100002
ValueCountFrequency (%)
phma119673080033041100001 1
 
0.1%
phma120113080033041100002 1
 
0.1%
phma120113080033041100012 1
 
0.1%
phma120103080033041100030 1
 
0.1%
phma120103080033041100031 1
 
0.1%
phma120103080033041100032 1
 
0.1%
phma120103080033041100033 1
 
0.1%
phma120103080033041100034 1
 
0.1%
phma120103080033041100035 1
 
0.1%
phma120113080033041100001 1
 
0.1%
Other values (677) 677
98.5%
2024-05-11T06:42:04.060820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6056
35.3%
1 2830
16.5%
3 2242
 
13.1%
2 832
 
4.8%
8 823
 
4.8%
4 814
 
4.7%
P 687
 
4.0%
H 687
 
4.0%
M 687
 
4.0%
A 687
 
4.0%
Other values (4) 830
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14427
84.0%
Uppercase Letter 2748
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6056
42.0%
1 2830
19.6%
3 2242
 
15.5%
2 832
 
5.8%
8 823
 
5.7%
4 814
 
5.6%
9 399
 
2.8%
7 153
 
1.1%
5 144
 
1.0%
6 134
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 687
25.0%
H 687
25.0%
M 687
25.0%
A 687
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14427
84.0%
Latin 2748
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6056
42.0%
1 2830
19.6%
3 2242
 
15.5%
2 832
 
5.8%
8 823
 
5.7%
4 814
 
5.6%
9 399
 
2.8%
7 153
 
1.1%
5 144
 
1.0%
6 134
 
0.9%
Latin
ValueCountFrequency (%)
P 687
25.0%
H 687
25.0%
M 687
25.0%
A 687
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17175
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6056
35.3%
1 2830
16.5%
3 2242
 
13.1%
2 832
 
4.8%
8 823
 
4.8%
4 814
 
4.7%
P 687
 
4.0%
H 687
 
4.0%
M 687
 
4.0%
A 687
 
4.0%
Other values (4) 830
 
4.8%
Distinct647
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
Minimum1967-09-16 00:00:00
Maximum2024-05-01 00:00:00
2024-05-11T06:42:04.822723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:42:05.654086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing687
Missing (%)100.0%
Memory size6.2 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
1
455 
3
228 
5
 
2
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 455
66.2%
3 228
33.2%
5 2
 
0.3%
2 2
 
0.3%

Length

2024-05-11T06:42:06.293866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:42:07.010352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 455
66.2%
3 228
33.2%
5 2
 
0.3%
2 2
 
0.3%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
영업/정상
455 
폐업
228 
제외/삭제/전출
 
2
휴업
 
2

Length

Max length8
Median length5
Mean length4.0043668
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 455
66.2%
폐업 228
33.2%
제외/삭제/전출 2
 
0.3%
휴업 2
 
0.3%

Length

2024-05-11T06:42:07.481753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:42:07.974637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 455
66.2%
폐업 228
33.2%
제외/삭제/전출 2
 
0.3%
휴업 2
 
0.3%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
13
455 
3
228 
15
 
2
2
 
2

Length

Max length2
Median length2
Mean length1.6652111
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 455
66.2%
3 228
33.2%
15 2
 
0.3%
2 2
 
0.3%

Length

2024-05-11T06:42:08.456959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:42:08.786565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 455
66.2%
3 228
33.2%
15 2
 
0.3%
2 2
 
0.3%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
영업중
455 
폐업
228 
전출
 
2
휴업
 
2

Length

Max length3
Median length3
Mean length2.6622999
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 455
66.2%
폐업 228
33.2%
전출 2
 
0.3%
휴업 2
 
0.3%

Length

2024-05-11T06:42:09.247453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:42:09.664291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 455
66.2%
폐업 228
33.2%
전출 2
 
0.3%
휴업 2
 
0.3%

폐업일자
Date

MISSING 

Distinct218
Distinct (%)95.6%
Missing459
Missing (%)66.8%
Memory size5.5 KiB
Minimum2008-09-18 00:00:00
Maximum2024-04-26 00:00:00
2024-05-11T06:42:10.148417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:42:10.741702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct7
Distinct (%)100.0%
Missing680
Missing (%)99.0%
Memory size5.5 KiB
Minimum2009-02-16 00:00:00
Maximum2023-10-04 00:00:00
2024-05-11T06:42:11.093773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:42:11.581232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

휴업종료일자
Date

MISSING 

Distinct7
Distinct (%)100.0%
Missing680
Missing (%)99.0%
Memory size5.5 KiB
Minimum2009-12-31 00:00:00
Maximum2024-10-03 00:00:00
2024-05-11T06:42:11.984566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:42:12.434269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing687
Missing (%)100.0%
Memory size6.2 KiB
Distinct643
Distinct (%)93.7%
Missing1
Missing (%)0.1%
Memory size5.5 KiB
2024-05-11T06:42:13.449975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length11
Mean length10.87172
Min length8

Characters and Unicode

Total characters7458
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

Unique603 ?
Unique (%)87.9%

Sample

1st row02-989-1274
2nd row02-980-4242
3rd row02-989-0275
4th row02-993-5888
5th row02-902-0602
ValueCountFrequency (%)
02-981-6868 3
 
0.4%
02-907-0154 3
 
0.4%
02-980-8275 3
 
0.4%
02-980-1275 2
 
0.3%
02-987-2030 2
 
0.3%
02-904-0056 2
 
0.3%
02-982-0038 2
 
0.3%
02-981-5111 2
 
0.3%
02-980-7588 2
 
0.3%
02-981-0488 2
 
0.3%
Other values (634) 664
96.7%
2024-05-11T06:42:15.098606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1324
17.8%
0 1233
16.5%
2 1070
14.3%
9 1002
13.4%
8 767
10.3%
5 474
 
6.4%
7 438
 
5.9%
1 358
 
4.8%
6 265
 
3.6%
3 260
 
3.5%
Other values (4) 267
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6124
82.1%
Dash Punctuation 1324
 
17.8%
Math Symbol 6
 
0.1%
Other Punctuation 3
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1233
20.1%
2 1070
17.5%
9 1002
16.4%
8 767
12.5%
5 474
 
7.7%
7 438
 
7.2%
1 358
 
5.8%
6 265
 
4.3%
3 260
 
4.2%
4 257
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 1324
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7458
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1324
17.8%
0 1233
16.5%
2 1070
14.3%
9 1002
13.4%
8 767
10.3%
5 474
 
6.4%
7 438
 
5.9%
1 358
 
4.8%
6 265
 
3.6%
3 260
 
3.5%
Other values (4) 267
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7458
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1324
17.8%
0 1233
16.5%
2 1070
14.3%
9 1002
13.4%
8 767
10.3%
5 474
 
6.4%
7 438
 
5.9%
1 358
 
4.8%
6 265
 
3.6%
3 260
 
3.5%
Other values (4) 267
 
3.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing687
Missing (%)100.0%
Memory size6.2 KiB

소재지우편번호
Text

MISSING 

Distinct95
Distinct (%)27.5%
Missing341
Missing (%)49.6%
Memory size5.5 KiB
2024-05-11T06:42:16.078959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1936416
Min length6

Characters and Unicode

Total characters2143
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

Unique40 ?
Unique (%)11.6%

Sample

1st row142873
2nd row142877
3rd row142812
4th row142876
5th row142071
ValueCountFrequency (%)
142100 28
 
8.1%
142878 23
 
6.6%
142804 22
 
6.4%
142867 14
 
4.0%
142140 12
 
3.5%
142071 11
 
3.2%
142877 10
 
2.9%
142876 10
 
2.9%
142703 10
 
2.9%
142879 9
 
2.6%
Other values (85) 197
56.9%
2024-05-11T06:42:17.848200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 463
21.6%
4 400
18.7%
2 380
17.7%
8 262
12.2%
0 242
11.3%
7 178
 
8.3%
6 68
 
3.2%
- 67
 
3.1%
3 32
 
1.5%
9 27
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2076
96.9%
Dash Punctuation 67
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 463
22.3%
4 400
19.3%
2 380
18.3%
8 262
12.6%
0 242
11.7%
7 178
 
8.6%
6 68
 
3.3%
3 32
 
1.5%
9 27
 
1.3%
5 24
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2143
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 463
21.6%
4 400
18.7%
2 380
17.7%
8 262
12.2%
0 242
11.3%
7 178
 
8.3%
6 68
 
3.2%
- 67
 
3.1%
3 32
 
1.5%
9 27
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2143
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 463
21.6%
4 400
18.7%
2 380
17.7%
8 262
12.2%
0 242
11.3%
7 178
 
8.3%
6 68
 
3.2%
- 67
 
3.1%
3 32
 
1.5%
9 27
 
1.3%

지번주소
Text

MISSING 

Distinct504
Distinct (%)82.2%
Missing74
Missing (%)10.8%
Memory size5.5 KiB
2024-05-11T06:42:18.764384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length45
Mean length24.835237
Min length9

Characters and Unicode

Total characters15224
Distinct characters172
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

Unique423 ?
Unique (%)69.0%

Sample

1st row서울특별시 강북구 수유1동 48번지 73호 5층
2nd row서울특별시 강북구 수유동 55번지 41호
3rd row서울특별시 강북구 미아동 839번지 306호
4th row서울특별시 강북구 수유2동 247번지 2호
5th row서울특별시 강북구 수유동 46번지 22호
ValueCountFrequency (%)
서울특별시 604
18.3%
강북구 604
18.3%
미아동 275
 
8.3%
수유동 151
 
4.6%
번동 72
 
2.2%
5호 41
 
1.2%
1호 38
 
1.1%
4호 37
 
1.1%
2층 35
 
1.1%
446번지 32
 
1.0%
Other values (493) 1420
42.9%
2024-05-11T06:42:20.608836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2702
 
17.7%
637
 
4.2%
623
 
4.1%
616
 
4.0%
609
 
4.0%
606
 
4.0%
606
 
4.0%
606
 
4.0%
605
 
4.0%
605
 
4.0%
Other values (162) 7009
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9291
61.0%
Decimal Number 3114
 
20.5%
Space Separator 2702
 
17.7%
Dash Punctuation 69
 
0.5%
Uppercase Letter 19
 
0.1%
Other Punctuation 16
 
0.1%
Close Punctuation 6
 
< 0.1%
Open Punctuation 6
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
637
 
6.9%
623
 
6.7%
616
 
6.6%
609
 
6.6%
606
 
6.5%
606
 
6.5%
606
 
6.5%
605
 
6.5%
605
 
6.5%
604
 
6.5%
Other values (142) 3174
34.2%
Decimal Number
ValueCountFrequency (%)
1 573
18.4%
2 446
14.3%
3 405
13.0%
4 371
11.9%
5 256
8.2%
0 253
8.1%
6 234
7.5%
7 215
 
6.9%
8 206
 
6.6%
9 155
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
K 9
47.4%
S 6
31.6%
J 2
 
10.5%
B 2
 
10.5%
Space Separator
ValueCountFrequency (%)
2702
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9291
61.0%
Common 5914
38.8%
Latin 19
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
637
 
6.9%
623
 
6.7%
616
 
6.6%
609
 
6.6%
606
 
6.5%
606
 
6.5%
606
 
6.5%
605
 
6.5%
605
 
6.5%
604
 
6.5%
Other values (142) 3174
34.2%
Common
ValueCountFrequency (%)
2702
45.7%
1 573
 
9.7%
2 446
 
7.5%
3 405
 
6.8%
4 371
 
6.3%
5 256
 
4.3%
0 253
 
4.3%
6 234
 
4.0%
7 215
 
3.6%
8 206
 
3.5%
Other values (6) 253
 
4.3%
Latin
ValueCountFrequency (%)
K 9
47.4%
S 6
31.6%
J 2
 
10.5%
B 2
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9291
61.0%
ASCII 5933
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2702
45.5%
1 573
 
9.7%
2 446
 
7.5%
3 405
 
6.8%
4 371
 
6.3%
5 256
 
4.3%
0 253
 
4.3%
6 234
 
3.9%
7 215
 
3.6%
8 206
 
3.5%
Other values (10) 272
 
4.6%
Hangul
ValueCountFrequency (%)
637
 
6.9%
623
 
6.7%
616
 
6.6%
609
 
6.6%
606
 
6.5%
606
 
6.5%
606
 
6.5%
605
 
6.5%
605
 
6.5%
604
 
6.5%
Other values (142) 3174
34.2%

도로명주소
Text

MISSING 

Distinct603
Distinct (%)89.3%
Missing12
Missing (%)1.7%
Memory size5.5 KiB
2024-05-11T06:42:21.542189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length48
Mean length29.201481
Min length21

Characters and Unicode

Total characters19711
Distinct characters220
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

Unique546 ?
Unique (%)80.9%

Sample

1st row서울특별시 강북구 덕릉로 64 (수유동)
2nd row서울특별시 강북구 삼양로74길 67 (수유동, 용환한의원)
3rd row서울특별시 강북구 솔샘로 205 (미아동)
4th row서울특별시 강북구 한천로 1111 (수유동)
5th row서울특별시 강북구 수유로 56 (수유동, 왕한의원)
ValueCountFrequency (%)
서울특별시 675
16.4%
강북구 675
16.4%
미아동 342
 
8.3%
도봉로 304
 
7.4%
수유동 208
 
5.1%
번동 103
 
2.5%
2층 98
 
2.4%
삼양로 94
 
2.3%
3층 70
 
1.7%
솔샘로 52
 
1.3%
Other values (607) 1486
36.2%
2024-05-11T06:42:23.299085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3433
 
17.4%
698
 
3.5%
691
 
3.5%
685
 
3.5%
681
 
3.5%
681
 
3.5%
681
 
3.5%
679
 
3.4%
) 678
 
3.4%
( 678
 
3.4%
Other values (210) 10126
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11403
57.9%
Space Separator 3433
 
17.4%
Decimal Number 2773
 
14.1%
Close Punctuation 678
 
3.4%
Open Punctuation 678
 
3.4%
Other Punctuation 656
 
3.3%
Dash Punctuation 55
 
0.3%
Uppercase Letter 22
 
0.1%
Math Symbol 13
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
698
 
6.1%
691
 
6.1%
685
 
6.0%
681
 
6.0%
681
 
6.0%
681
 
6.0%
679
 
6.0%
676
 
5.9%
676
 
5.9%
675
 
5.9%
Other values (188) 4580
40.2%
Decimal Number
ValueCountFrequency (%)
3 520
18.8%
2 505
18.2%
1 434
15.7%
4 264
9.5%
0 242
8.7%
5 228
8.2%
7 176
 
6.3%
6 146
 
5.3%
9 132
 
4.8%
8 126
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
K 9
40.9%
S 6
27.3%
M 3
 
13.6%
B 2
 
9.1%
J 2
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 655
99.8%
. 1
 
0.2%
Space Separator
ValueCountFrequency (%)
3433
100.0%
Close Punctuation
ValueCountFrequency (%)
) 678
100.0%
Open Punctuation
ValueCountFrequency (%)
( 678
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11403
57.9%
Common 8286
42.0%
Latin 22
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
698
 
6.1%
691
 
6.1%
685
 
6.0%
681
 
6.0%
681
 
6.0%
681
 
6.0%
679
 
6.0%
676
 
5.9%
676
 
5.9%
675
 
5.9%
Other values (188) 4580
40.2%
Common
ValueCountFrequency (%)
3433
41.4%
) 678
 
8.2%
( 678
 
8.2%
, 655
 
7.9%
3 520
 
6.3%
2 505
 
6.1%
1 434
 
5.2%
4 264
 
3.2%
0 242
 
2.9%
5 228
 
2.8%
Other values (7) 649
 
7.8%
Latin
ValueCountFrequency (%)
K 9
40.9%
S 6
27.3%
M 3
 
13.6%
B 2
 
9.1%
J 2
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11403
57.9%
ASCII 8308
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3433
41.3%
) 678
 
8.2%
( 678
 
8.2%
, 655
 
7.9%
3 520
 
6.3%
2 505
 
6.1%
1 434
 
5.2%
4 264
 
3.2%
0 242
 
2.9%
5 228
 
2.7%
Other values (12) 671
 
8.1%
Hangul
ValueCountFrequency (%)
698
 
6.1%
691
 
6.1%
685
 
6.0%
681
 
6.0%
681
 
6.0%
681
 
6.0%
679
 
6.0%
676
 
5.9%
676
 
5.9%
675
 
5.9%
Other values (188) 4580
40.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct136
Distinct (%)24.2%
Missing125
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean7682.1121
Minimum1004
Maximum142892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2024-05-11T06:42:24.101896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1004
5-th percentile1038
Q11073
median1132
Q31197.75
95-th percentile1236.85
Maximum142892
Range141888
Interquartile range (IQR)124.75

Descriptive statistics

Standard deviation29767.954
Coefficient of variation (CV)3.87497
Kurtosis16.823997
Mean7682.1121
Median Absolute Deviation (MAD)63
Skewness4.3317369
Sum4317347
Variance8.8613107 × 108
MonotonicityNot monotonic
2024-05-11T06:42:24.654729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1062 36
 
5.2%
1073 29
 
4.2%
1220 25
 
3.6%
1211 19
 
2.8%
1189 19
 
2.8%
1074 17
 
2.5%
1205 15
 
2.2%
1157 15
 
2.2%
1118 14
 
2.0%
1063 11
 
1.6%
Other values (126) 362
52.7%
(Missing) 125
 
18.2%
ValueCountFrequency (%)
1004 1
 
0.1%
1005 4
0.6%
1006 2
0.3%
1010 1
 
0.1%
1011 4
0.6%
1014 1
 
0.1%
1023 1
 
0.1%
1024 1
 
0.1%
1026 1
 
0.1%
1029 3
0.4%
ValueCountFrequency (%)
142892 1
 
0.1%
142878 2
0.3%
142874 3
0.4%
142873 1
 
0.1%
142872 1
 
0.1%
142865 1
 
0.1%
142864 2
0.3%
142822 1
 
0.1%
142812 1
 
0.1%
142807 2
0.3%
Distinct658
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
2024-05-11T06:42:25.356466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length7.2387191
Min length3

Characters and Unicode

Total characters4973
Distinct characters337
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

Unique631 ?
Unique (%)91.8%

Sample

1st row제세의원
2nd row용환한의원
3rd row윤한의원
4th row정가정의학과의원
5th row왕한의원
ValueCountFrequency (%)
치과의원 5
 
0.7%
호일침한의원 3
 
0.4%
강북성모의원 3
 
0.4%
지성한의원 3
 
0.4%
2080치과의원 2
 
0.3%
한의원 2
 
0.3%
의원 2
 
0.3%
의료법인 2
 
0.3%
사회복지법인 2
 
0.3%
새한치과의원 2
 
0.3%
Other values (660) 682
96.3%
2024-05-11T06:42:26.728877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
734
 
14.8%
698
 
14.0%
424
 
8.5%
178
 
3.6%
176
 
3.5%
74
 
1.5%
71
 
1.4%
69
 
1.4%
68
 
1.4%
64
 
1.3%
Other values (327) 2417
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4910
98.7%
Space Separator 21
 
0.4%
Decimal Number 20
 
0.4%
Uppercase Letter 8
 
0.2%
Close Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%
Dash Punctuation 3
 
0.1%
Lowercase Letter 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
734
 
14.9%
698
 
14.2%
424
 
8.6%
178
 
3.6%
176
 
3.6%
74
 
1.5%
71
 
1.4%
69
 
1.4%
68
 
1.4%
64
 
1.3%
Other values (308) 2354
47.9%
Uppercase Letter
ValueCountFrequency (%)
S 2
25.0%
W 1
12.5%
J 1
12.5%
M 1
12.5%
K 1
12.5%
B 1
12.5%
L 1
12.5%
Decimal Number
ValueCountFrequency (%)
6 4
20.0%
3 4
20.0%
0 4
20.0%
5 4
20.0%
8 2
10.0%
2 2
10.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4910
98.7%
Common 53
 
1.1%
Latin 10
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
734
 
14.9%
698
 
14.2%
424
 
8.6%
178
 
3.6%
176
 
3.6%
74
 
1.5%
71
 
1.4%
69
 
1.4%
68
 
1.4%
64
 
1.3%
Other values (308) 2354
47.9%
Common
ValueCountFrequency (%)
21
39.6%
6 4
 
7.5%
3 4
 
7.5%
0 4
 
7.5%
5 4
 
7.5%
) 4
 
7.5%
( 4
 
7.5%
- 3
 
5.7%
8 2
 
3.8%
2 2
 
3.8%
Latin
ValueCountFrequency (%)
S 2
20.0%
e 2
20.0%
W 1
10.0%
J 1
10.0%
M 1
10.0%
K 1
10.0%
B 1
10.0%
L 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4910
98.7%
ASCII 63
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
734
 
14.9%
698
 
14.2%
424
 
8.6%
178
 
3.6%
176
 
3.6%
74
 
1.5%
71
 
1.4%
69
 
1.4%
68
 
1.4%
64
 
1.3%
Other values (308) 2354
47.9%
ASCII
ValueCountFrequency (%)
21
33.3%
6 4
 
6.3%
3 4
 
6.3%
0 4
 
6.3%
5 4
 
6.3%
) 4
 
6.3%
( 4
 
6.3%
- 3
 
4.8%
8 2
 
3.2%
S 2
 
3.2%
Other values (9) 11
17.5%
Distinct596
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
Minimum2008-11-24 12:27:05
Maximum2024-05-09 23:43:14
2024-05-11T06:42:27.402810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:42:27.891473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
U
416 
I
271 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 416
60.6%
I 271
39.4%

Length

2024-05-11T06:42:28.366318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:42:28.741097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 416
60.6%
i 271
39.4%
Distinct250
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T06:42:29.113433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:42:29.839606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
의원
363 
치과의원
172 
한의원
151 
보건소
 
1

Length

Max length4
Median length2
Mean length2.7219796
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
의원 363
52.8%
치과의원 172
25.0%
한의원 151
22.0%
보건소 1
 
0.1%

Length

2024-05-11T06:42:30.373668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:42:30.751523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 363
52.8%
치과의원 172
25.0%
한의원 151
22.0%
보건소 1
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct334
Distinct (%)50.5%
Missing26
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean202108.14
Minimum200858.91
Maximum204083.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2024-05-11T06:42:31.107408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200858.91
5-th percentile201196.61
Q1201730.3
median202128.03
Q3202477.63
95-th percentile202910.68
Maximum204083.18
Range3224.2684
Interquartile range (IQR)747.32912

Descriptive statistics

Standard deviation553.53979
Coefficient of variation (CV)0.0027388297
Kurtosis0.69724182
Mean202108.14
Median Absolute Deviation (MAD)373.01233
Skewness0.35292979
Sum1.3359348 × 108
Variance306406.29
MonotonicityNot monotonic
2024-05-11T06:42:31.539009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202128.028000567 13
 
1.9%
202155.401317068 12
 
1.7%
202641.157422978 12
 
1.7%
202624.617262819 9
 
1.3%
202139.326641492 8
 
1.2%
201589.777957863 8
 
1.2%
202312.754721343 7
 
1.0%
202185.073355103 7
 
1.0%
201059.873232343 7
 
1.0%
202617.763326241 7
 
1.0%
Other values (324) 571
83.1%
(Missing) 26
 
3.8%
ValueCountFrequency (%)
200858.908744591 1
 
0.1%
200867.638316446 1
 
0.1%
200874.82205546 1
 
0.1%
200880.479051084 1
 
0.1%
200886.333781015 3
0.4%
200902.161113986 1
 
0.1%
200930.269699799 1
 
0.1%
200966.067461965 1
 
0.1%
201046.346062919 1
 
0.1%
201049.029062927 1
 
0.1%
ValueCountFrequency (%)
204083.177112537 4
0.6%
203746.119397218 2
0.3%
203681.897120967 1
 
0.1%
203664.263224132 1
 
0.1%
203518.852697746 2
0.3%
203465.746576461 1
 
0.1%
203452.54250506 1
 
0.1%
203448.804741152 2
0.3%
203436.895943236 1
 
0.1%
203419.643685439 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct334
Distinct (%)50.5%
Missing26
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean458484.86
Minimum456360.43
Maximum461811.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2024-05-11T06:42:31.998532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456360.43
5-th percentile456690.62
Q1457497.94
median458484.57
Q3459465.36
95-th percentile460263.7
Maximum461811.64
Range5451.203
Interquartile range (IQR)1967.4207

Descriptive statistics

Standard deviation1211.4944
Coefficient of variation (CV)0.0026423869
Kurtosis-0.90478972
Mean458484.86
Median Absolute Deviation (MAD)984.25859
Skewness0.095630657
Sum3.0305849 × 108
Variance1467718.6
MonotonicityNot monotonic
2024-05-11T06:42:32.498193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
459379.778436598 13
 
1.9%
459411.940883021 12
 
1.7%
456588.839527418 12
 
1.7%
456818.85207077 9
 
1.3%
459501.147199015 8
 
1.2%
457545.100871485 8
 
1.2%
458174.799506818 7
 
1.0%
459465.357616831 7
 
1.0%
457514.212737818 7
 
1.0%
456693.95960943 7
 
1.0%
Other values (324) 571
83.1%
(Missing) 26
 
3.8%
ValueCountFrequency (%)
456360.433254943 3
 
0.4%
456422.95319709 1
 
0.1%
456434.500687631 1
 
0.1%
456521.853735385 1
 
0.1%
456583.393862442 1
 
0.1%
456588.839527418 12
1.7%
456612.367866076 2
 
0.3%
456622.678015493 1
 
0.1%
456636.308192293 6
0.9%
456666.40708658 2
 
0.3%
ValueCountFrequency (%)
461811.636263748 1
0.1%
461784.056436121 1
0.1%
461696.232727446 2
0.3%
461609.837613742 1
0.1%
461497.076608921 1
0.1%
461383.338586109 2
0.3%
461366.546648147 1
0.1%
460743.362707152 1
0.1%
460734.113745563 1
0.1%
460686.989222997 2
0.3%
Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
<NA>
292 
의원
212 
치과의원
113 
한의원
70 

Length

Max length4
Median length4
Mean length3.2809316
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 292
42.5%
의원 212
30.9%
치과의원 113
 
16.4%
한의원 70
 
10.2%

Length

2024-05-11T06:42:33.012175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:42:33.435611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 292
42.5%
의원 212
30.9%
치과의원 113
 
16.4%
한의원 70
 
10.2%

의료인수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)1.8%
Missing292
Missing (%)42.5%
Infinite0
Infinite (%)0.0%
Mean1.2075949
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2024-05-11T06:42:33.790058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.71775386
Coefficient of variation (CV)0.5943664
Kurtosis69.905905
Mean1.2075949
Median Absolute Deviation (MAD)0
Skewness7.0786816
Sum477
Variance0.5151706
MonotonicityNot monotonic
2024-05-11T06:42:34.247874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 339
49.3%
2 45
 
6.6%
3 6
 
0.9%
4 2
 
0.3%
10 1
 
0.1%
5 1
 
0.1%
7 1
 
0.1%
(Missing) 292
42.5%
ValueCountFrequency (%)
1 339
49.3%
2 45
 
6.6%
3 6
 
0.9%
4 2
 
0.3%
5 1
 
0.1%
7 1
 
0.1%
10 1
 
0.1%
ValueCountFrequency (%)
10 1
 
0.1%
7 1
 
0.1%
5 1
 
0.1%
4 2
 
0.3%
3 6
 
0.9%
2 45
 
6.6%
1 339
49.3%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)2.5%
Missing292
Missing (%)42.5%
Infinite0
Infinite (%)0.0%
Mean0.41012658
Minimum0
Maximum18
Zeros357
Zeros (%)52.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2024-05-11T06:42:34.678093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum18
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.6690368
Coefficient of variation (CV)4.0695651
Kurtosis40.509787
Mean0.41012658
Median Absolute Deviation (MAD)0
Skewness5.6339193
Sum162
Variance2.785684
MonotonicityNot monotonic
2024-05-11T06:42:35.119254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 357
52.0%
1 13
 
1.9%
7 7
 
1.0%
3 4
 
0.6%
5 4
 
0.6%
6 3
 
0.4%
4 2
 
0.3%
10 2
 
0.3%
2 2
 
0.3%
18 1
 
0.1%
(Missing) 292
42.5%
ValueCountFrequency (%)
0 357
52.0%
1 13
 
1.9%
2 2
 
0.3%
3 4
 
0.6%
4 2
 
0.3%
5 4
 
0.6%
6 3
 
0.4%
7 7
 
1.0%
10 2
 
0.3%
18 1
 
0.1%
ValueCountFrequency (%)
18 1
 
0.1%
10 2
 
0.3%
7 7
 
1.0%
6 3
 
0.4%
5 4
 
0.6%
4 2
 
0.3%
3 4
 
0.6%
2 2
 
0.3%
1 13
 
1.9%
0 357
52.0%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)5.1%
Missing292
Missing (%)42.5%
Infinite0
Infinite (%)0.0%
Mean1.2455696
Minimum0
Maximum49
Zeros355
Zeros (%)51.7%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2024-05-11T06:42:35.484057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.3
Maximum49
Range49
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.4178638
Coefficient of variation (CV)4.3497077
Kurtosis29.209394
Mean1.2455696
Median Absolute Deviation (MAD)0
Skewness5.2064511
Sum492
Variance29.353248
MonotonicityNot monotonic
2024-05-11T06:42:35.882763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 355
51.7%
1 8
 
1.2%
29 6
 
0.9%
3 5
 
0.7%
2 4
 
0.6%
5 2
 
0.3%
20 2
 
0.3%
19 1
 
0.1%
4 1
 
0.1%
10 1
 
0.1%
Other values (10) 10
 
1.5%
(Missing) 292
42.5%
ValueCountFrequency (%)
0 355
51.7%
1 8
 
1.2%
2 4
 
0.6%
3 5
 
0.7%
4 1
 
0.1%
5 2
 
0.3%
6 1
 
0.1%
7 1
 
0.1%
8 1
 
0.1%
10 1
 
0.1%
ValueCountFrequency (%)
49 1
 
0.1%
29 6
0.9%
28 1
 
0.1%
27 1
 
0.1%
26 1
 
0.1%
24 1
 
0.1%
20 2
 
0.3%
19 1
 
0.1%
15 1
 
0.1%
14 1
 
0.1%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct343
Distinct (%)86.8%
Missing292
Missing (%)42.5%
Infinite0
Infinite (%)0.0%
Mean143.20805
Minimum0
Maximum1405.96
Zeros10
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2024-05-11T06:42:36.272850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile43.166
Q179.4
median112.19
Q3164.19
95-th percentile349.674
Maximum1405.96
Range1405.96
Interquartile range (IQR)84.79

Descriptive statistics

Standard deviation131.27505
Coefficient of variation (CV)0.91667364
Kurtosis37.764604
Mean143.20805
Median Absolute Deviation (MAD)41.89
Skewness4.9297199
Sum56567.18
Variance17233.137
MonotonicityNot monotonic
2024-05-11T06:42:36.707082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 10
 
1.5%
66.0 5
 
0.7%
132.0 5
 
0.7%
82.5 5
 
0.7%
59.4 4
 
0.6%
117.0 3
 
0.4%
159.0 3
 
0.4%
99.0 3
 
0.4%
47.16 3
 
0.4%
100.0 3
 
0.4%
Other values (333) 351
51.1%
(Missing) 292
42.5%
ValueCountFrequency (%)
0.0 10
1.5%
19.2 1
 
0.1%
25.65 1
 
0.1%
29.6 1
 
0.1%
33.0 1
 
0.1%
33.64 1
 
0.1%
36.0 1
 
0.1%
39.5 1
 
0.1%
40.3 1
 
0.1%
42.9 2
 
0.3%
ValueCountFrequency (%)
1405.96 1
0.1%
1301.8 1
0.1%
655.0 1
0.1%
648.92 1
0.1%
581.18 1
0.1%
577.5 1
0.1%
542.67 1
0.1%
523.56 1
0.1%
493.48 1
0.1%
448.2 2
0.3%

진료과목내용
Text

MISSING 

Distinct192
Distinct (%)48.6%
Missing292
Missing (%)42.5%
Memory size5.5 KiB
2024-05-11T06:42:37.202935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length51
Mean length15.313924
Min length3

Characters and Unicode

Total characters6049
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

Unique149 ?
Unique (%)37.7%

Sample

1st row101 111
2nd row301 302 303 306 305 304 307 308
3rd row301 304 307 302 305 308 303 306
4th row122 101 104 111 114 110 102 103 112 113
5th row301 304 307 308 302 305 303 306
ValueCountFrequency (%)
101 122
 
7.6%
111 102
 
6.3%
401 99
 
6.1%
114 94
 
5.8%
301 64
 
4.0%
302 64
 
4.0%
303 64
 
4.0%
308 63
 
3.9%
113 63
 
3.9%
305 58
 
3.6%
Other values (44) 818
50.8%
2024-05-11T06:42:38.282260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1669
27.6%
1216
20.1%
0 1187
19.6%
3 637
 
10.5%
4 502
 
8.3%
2 285
 
4.7%
5 188
 
3.1%
8 124
 
2.0%
6 116
 
1.9%
7 76
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4833
79.9%
Space Separator 1216
 
20.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1669
34.5%
0 1187
24.6%
3 637
 
13.2%
4 502
 
10.4%
2 285
 
5.9%
5 188
 
3.9%
8 124
 
2.6%
6 116
 
2.4%
7 76
 
1.6%
9 49
 
1.0%
Space Separator
ValueCountFrequency (%)
1216
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6049
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1669
27.6%
1216
20.1%
0 1187
19.6%
3 637
 
10.5%
4 502
 
8.3%
2 285
 
4.7%
5 188
 
3.1%
8 124
 
2.0%
6 116
 
1.9%
7 76
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6049
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1669
27.6%
1216
20.1%
0 1187
19.6%
3 637
 
10.5%
4 502
 
8.3%
2 285
 
4.7%
5 188
 
3.1%
8 124
 
2.0%
6 116
 
1.9%
7 76
 
1.3%

진료과목내용명
Text

MISSING 

Distinct158
Distinct (%)40.0%
Missing292
Missing (%)42.5%
Memory size5.5 KiB
2024-05-11T06:42:38.832462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length104
Median length69
Mean length24.746835
Min length2

Characters and Unicode

Total characters9775
Distinct characters65
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

Unique119 ?
Unique (%)30.1%

Sample

1st row내과, 소아청소년과
2nd row한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과
3rd row한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과
4th row내과, 신경과, 정신건강의학과, 외과, 산부인과, 소아청소년과, 안과, 이비인후과, 피부과, 가정의학과
5th row한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과
ValueCountFrequency (%)
내과 122
 
7.6%
소아청소년과 102
 
6.3%
치과 101
 
6.3%
피부과 94
 
5.8%
한방부인과 64
 
4.0%
한방소아과 64
 
4.0%
한방내과 64
 
4.0%
이비인후과 63
 
3.9%
침구과 63
 
3.9%
한방신경정신과 58
 
3.6%
Other values (34) 816
50.7%
2024-05-11T06:42:40.245896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1679
17.2%
, 1216
 
12.4%
1216
 
12.4%
385
 
3.9%
361
 
3.7%
292
 
3.0%
255
 
2.6%
255
 
2.6%
254
 
2.6%
254
 
2.6%
Other values (55) 3608
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7229
74.0%
Other Punctuation 1330
 
13.6%
Space Separator 1216
 
12.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1679
23.2%
385
 
5.3%
361
 
5.0%
292
 
4.0%
255
 
3.5%
255
 
3.5%
254
 
3.5%
254
 
3.5%
219
 
3.0%
206
 
2.8%
Other values (52) 3069
42.5%
Other Punctuation
ValueCountFrequency (%)
, 1216
91.4%
? 114
 
8.6%
Space Separator
ValueCountFrequency (%)
1216
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7229
74.0%
Common 2546
 
26.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1679
23.2%
385
 
5.3%
361
 
5.0%
292
 
4.0%
255
 
3.5%
255
 
3.5%
254
 
3.5%
254
 
3.5%
219
 
3.0%
206
 
2.8%
Other values (52) 3069
42.5%
Common
ValueCountFrequency (%)
, 1216
47.8%
1216
47.8%
? 114
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7229
74.0%
ASCII 2546
 
26.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1679
23.2%
385
 
5.3%
361
 
5.0%
292
 
4.0%
255
 
3.5%
255
 
3.5%
254
 
3.5%
254
 
3.5%
219
 
3.0%
206
 
2.8%
Other values (52) 3069
42.5%
ASCII
ValueCountFrequency (%)
, 1216
47.8%
1216
47.8%
? 114
 
4.5%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing687
Missing (%)100.0%
Memory size6.2 KiB

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing687
Missing (%)100.0%
Memory size6.2 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing687
Missing (%)100.0%
Memory size6.2 KiB

구급차특수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
0
395 
<NA>
292 

Length

Max length4
Median length1
Mean length2.2751092
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 395
57.5%
<NA> 292
42.5%

Length

2024-05-11T06:42:40.951606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:42:41.436397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 395
57.5%
na 292
42.5%

구급차일반
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
0
395 
<NA>
292 

Length

Max length4
Median length1
Mean length2.2751092
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 395
57.5%
<NA> 292
42.5%

Length

2024-05-11T06:42:42.170252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:42:42.531673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 395
57.5%
na 292
42.5%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing687
Missing (%)100.0%
Memory size6.2 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing687
Missing (%)100.0%
Memory size6.2 KiB

허가병상수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
0
395 
<NA>
292 

Length

Max length4
Median length1
Mean length2.2751092
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 395
57.5%
<NA> 292
42.5%

Length

2024-05-11T06:42:43.130367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:42:43.732174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 395
57.5%
na 292
42.5%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing687
Missing (%)100.0%
Memory size6.2 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03080000PHMA11967308003304110000119670916<NA>3폐업3폐업20140430<NA><NA><NA>02-989-1274<NA>142873서울특별시 강북구 수유1동 48번지 73호 5층서울특별시 강북구 덕릉로 64 (수유동)142873제세의원2014-06-02 09:59:11I2018-08-31 23:59:59.0의원201766.89213459102.805443의원10043.29101 111내과, 소아청소년과<NA><NA><NA>00<NA><NA>0<NA>
13080000PHMA11968308003304110000119680108<NA>1영업/정상13영업중<NA><NA><NA><NA>02-980-4242<NA><NA>서울특별시 강북구 수유동 55번지 41호서울특별시 강북구 삼양로74길 67 (수유동, 용환한의원)1117용환한의원2017-09-05 18:37:58I2018-08-31 23:59:59.0한의원201843.831774458656.201909한의원10042.9301 302 303 306 305 304 307 308한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
23080000PHMA11968308003304110000219680605<NA>1영업/정상13영업중<NA><NA><NA><NA>02-989-0275<NA><NA>서울특별시 강북구 미아동 839번지 306호서울특별시 강북구 솔샘로 205 (미아동)1187윤한의원2017-12-15 16:09:48I2018-08-31 23:59:59.0한의원201295.890047457545.715236한의원10036.0301 304 307 302 305 308 303 306한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
33080000PHMA11969308003304110000119690206<NA>3폐업3폐업20101125<NA><NA><NA>02-993-5888<NA>142877서울특별시 강북구 수유2동 247번지 2호서울특별시 강북구 한천로 1111 (수유동)<NA>정가정의학과의원2010-11-25 17:24:28I2018-08-31 23:59:59.0의원201718.732513460223.226422의원100117.0122 101 104 111 114 110 102 103 112 113내과, 신경과, 정신건강의학과, 외과, 산부인과, 소아청소년과, 안과, 이비인후과, 피부과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
43080000PHMA11969308003304110000219690616<NA>3폐업3폐업20160216<NA><NA><NA>02-902-0602<NA><NA>서울특별시 강북구 수유동 46번지 22호서울특별시 강북구 수유로 56 (수유동, 왕한의원)1081왕한의원2016-02-16 11:50:55I2018-08-31 23:59:59.0한의원201693.638407459244.547615한의원1000.0301 304 307 308 302 305 303 306한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
53080000PHMA11969308003304110000319690725<NA>3폐업3폐업20170605<NA><NA><NA>02-988-1984<NA><NA>서울특별시 강북구 미아동 460번지 108호서울특별시 강북구 도봉로 79 (미아동, 심치과의원)1205심치과의원2017-06-05 16:48:53I2018-08-31 23:59:59.0치과의원202538.97081457104.287728치과의원10075.0401치과<NA><NA><NA>00<NA><NA>0<NA>
63080000PHMA11969308003304110000419691031<NA>3폐업3폐업20140530<NA><NA><NA>02-989-1141<NA>142812서울특별시 강북구 미아동 303번지 89호서울특별시 강북구 솔매로 110 (미아동)<NA>남대문한의원2014-06-05 11:06:16I2018-08-31 23:59:59.0한의원202096.936568458151.691656한의원1000.0301 304 307 308 305 303 306 302한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
73080000PHMA11969308003304110000519691126<NA>3폐업3폐업20100302<NA><NA><NA>02-994-3543<NA>142876서울특별시 강북구 수유3동 174번지 14호서울특별시 강북구 도봉로 363 (수유동)<NA>김홍석치과의원2010-03-02 12:30:07I2018-08-31 23:59:59.0치과의원202335.261053459731.831649치과의원1000.0401치과<NA><NA><NA>00<NA><NA>0<NA>
83080000PHMA11970308003304110000119700409<NA>3폐업3폐업20090108<NA><NA><NA>02-988-4576<NA>142071서울특별시 강북구 수유동 54번지 11호서울특별시 강북구 도봉로 251 (수유동)<NA>수유치과의원2009-01-08 15:48:41I2018-08-31 23:59:59.0치과의원202049.377464458727.685399치과의원10066.0401치과<NA><NA><NA>00<NA><NA>0<NA>
93080000PHMA11970308003304110000219700422<NA>1영업/정상13영업중<NA><NA><NA><NA>02-993-7961<NA>142070서울특별시 강북구 수유동 341번지 5호서울특별시 강북구 삼양로 453 (수유동)1030동보한의원2022-04-07 15:19:07U2021-12-04 00:09:00.0한의원201326.648594460151.519999<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
6773080000PHMA1202330800330411000142023-11-07<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6956-2356<NA><NA>서울특별시 강북구 미아동 860-105서울특별시 강북구 삼양로 168, 지하1층, 1층 (미아동)1201미아경희365한의원2023-11-10 02:13:21U2022-10-31 23:02:00.0한의원201826.707732457391.674043<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6783080000PHMA1202330800330411000152023-11-24<NA>1영업/정상13영업중<NA><NA><NA><NA>02-989-7591<NA><NA><NA>서울특별시 강북구 도봉로10길 6, 씨앤에스 프라임 3층 일부 (미아동)1219인비한의원2023-12-15 11:23:56U2022-11-01 23:07:00.0한의원202643.951841456729.732069<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6793080000PHMA1202330800330411000162023-11-24<NA>1영업/정상13영업중<NA><NA><NA><NA>02-989-7519<NA><NA><NA>서울특별시 강북구 도봉로10길 6, 씨앤에스 프라임 3층 일부 (미아동)1219마디원큐한의원2024-01-12 01:13:15U2023-11-30 23:04:00.0한의원202643.951841456729.732069<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6803080000PHMA1202330800330411000172023-11-24<NA>1영업/정상13영업중<NA><NA><NA><NA>02-989-7519<NA><NA>서울특별시 강북구 미아동 860-187 씨앤에스 프라임서울특별시 강북구 도봉로10길 6, 씨앤에스 프라임 3층 일부 (미아동)1219마디원큐의원2024-05-09 23:43:14U2023-12-04 23:01:00.0의원202643.951841456729.732069<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6813080000PHMA1202430800330411000012024-02-22<NA>1영업/정상13영업중<NA><NA><NA><NA>02-903-0999<NA><NA>서울특별시 강북구 수유동 229-5 정우빌딩서울특별시 강북구 도봉로 333, 정우빌딩 3층 (수유동)1073삼성봄안과의원2024-02-22 21:13:13I2023-12-01 22:04:00.0의원202139.326641459501.147199<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6823080000PHMA1202430800330411000022024-02-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-990-2080<NA><NA>서울특별시 강북구 번동 449-1 북한산스카이빌딩서울특별시 강북구 도봉로 308, 북한산스카이빌딩 5층 503호 (번동)1062가바치과교정과치과의원2024-03-05 10:04:38U2023-12-03 00:07:00.0치과의원202032.757632459259.443979<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6833080000PHMA1202430800330411000032024-02-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6011-3259<NA><NA><NA>서울특별시 강북구 도봉로 205, 3층 (미아동)1126강북성모내과의원2024-04-05 01:43:13U2023-12-04 00:07:00.0의원202190.312961458278.675495<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6843080000PHMA1202430800330411000042024-03-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-989-8801<NA><NA>서울특별시 강북구 미아동 791-563서울특별시 강북구 삼양로 258, 1층 (미아동)1122아산탑마취통증의학과의원2024-04-18 23:13:13U2023-12-03 22:00:00.0의원201560.888186458228.896611<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6853080000PHMA1202430800330411000052024-04-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6951-4545<NA><NA>서울특별시 강북구 미아동 791-563서울특별시 강북구 삼양로 258, 2층 (미아동)1122서울더블유W내과의원2024-04-16 09:16:12U2023-12-03 23:08:00.0의원201560.888186458228.896611<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6863080000PHMA1202430800330411000062024-05-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6437-0082<NA><NA>서울특별시 강북구 미아동 1364 연이빌딩서울특별시 강북구 도봉로 52, 연이빌딩 4층 (미아동)1215닥터스피부과의원2024-05-09 23:43:14U2023-12-04 23:01:00.0의원202624.617263456818.852071<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>