Overview

Dataset statistics

Number of variables41
Number of observations1146
Missing cells16445
Missing cells (%)35.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory391.8 KiB
Average record size in memory350.1 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
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-16219/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (54.3%)Imbalance
영업상태명 is highly imbalanced (54.3%)Imbalance
상세영업상태코드 is highly imbalanced (54.3%)Imbalance
상세영업상태명 is highly imbalanced (54.3%)Imbalance
인허가취소일자 has 1146 (100.0%) missing valuesMissing
폐업일자 has 600 (52.4%) missing valuesMissing
휴업시작일자 has 1130 (98.6%) missing valuesMissing
휴업종료일자 has 1130 (98.6%) missing valuesMissing
재개업일자 has 1146 (100.0%) missing valuesMissing
전화번호 has 15 (1.3%) missing valuesMissing
소재지면적 has 1146 (100.0%) missing valuesMissing
소재지우편번호 has 359 (31.3%) missing valuesMissing
지번주소 has 59 (5.1%) missing valuesMissing
도로명주소 has 190 (16.6%) missing valuesMissing
도로명우편번호 has 232 (20.2%) missing valuesMissing
좌표정보(X) has 200 (17.5%) missing valuesMissing
좌표정보(Y) has 200 (17.5%) missing valuesMissing
의료인수 has 336 (29.3%) missing valuesMissing
입원실수 has 336 (29.3%) missing valuesMissing
병상수 has 336 (29.3%) missing valuesMissing
총면적 has 336 (29.3%) missing valuesMissing
진료과목내용 has 336 (29.3%) missing valuesMissing
진료과목내용명 has 336 (29.3%) missing valuesMissing
지정취소일자 has 1146 (100.0%) missing valuesMissing
완화의료지정형태 has 1146 (100.0%) missing valuesMissing
완화의료담당부서명 has 1146 (100.0%) missing valuesMissing
총인원 has 1146 (100.0%) missing valuesMissing
구조사수 has 1146 (100.0%) missing valuesMissing
최초지정일자 has 1146 (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
의료인수 has 90 (7.9%) zerosZeros
입원실수 has 775 (67.6%) zerosZeros
병상수 has 773 (67.5%) zerosZeros
총면적 has 81 (7.1%) zerosZeros

Reproduction

Analysis started2024-04-29 18:55:43.348058
Analysis finished2024-04-29 18:55:44.431241
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
3050000
1146 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3050000
2nd row3050000
3rd row3050000
4th row3050000
5th row3050000

Common Values

ValueCountFrequency (%)
3050000 1146
100.0%

Length

2024-04-30T03:55:44.497828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:44.579265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3050000 1146
100.0%

관리번호
Text

UNIQUE 

Distinct1146
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2024-04-30T03:55:44.718226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters28650
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

Unique1146 ?
Unique (%)100.0%

Sample

1st rowPHMA119633050034041100001
2nd rowPHMA119643050034041100001
3rd rowPHMA119653050034041100001
4th rowPHMA119663050034041100001
5th rowPHMA119663050034041100002
ValueCountFrequency (%)
phma119633050034041100001 1
 
0.1%
phma120103050034041100031 1
 
0.1%
phma120103050034041100037 1
 
0.1%
phma120103050034041100036 1
 
0.1%
phma120103050034041100035 1
 
0.1%
phma120103050034041100034 1
 
0.1%
phma120103050034041100042 1
 
0.1%
phma120103050034041100032 1
 
0.1%
phma120103050034041100030 1
 
0.1%
phma120103050034041100039 1
 
0.1%
Other values (1136) 1136
99.1%
2024-04-30T03:55:44.975895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9989
34.9%
1 4555
15.9%
3 2643
 
9.2%
4 2601
 
9.1%
5 1414
 
4.9%
2 1402
 
4.9%
P 1146
 
4.0%
H 1146
 
4.0%
M 1146
 
4.0%
A 1146
 
4.0%
Other values (4) 1462
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24066
84.0%
Uppercase Letter 4584
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9989
41.5%
1 4555
18.9%
3 2643
 
11.0%
4 2601
 
10.8%
5 1414
 
5.9%
2 1402
 
5.8%
9 600
 
2.5%
8 324
 
1.3%
7 275
 
1.1%
6 263
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
P 1146
25.0%
H 1146
25.0%
M 1146
25.0%
A 1146
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24066
84.0%
Latin 4584
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9989
41.5%
1 4555
18.9%
3 2643
 
11.0%
4 2601
 
10.8%
5 1414
 
5.9%
2 1402
 
5.8%
9 600
 
2.5%
8 324
 
1.3%
7 275
 
1.1%
6 263
 
1.1%
Latin
ValueCountFrequency (%)
P 1146
25.0%
H 1146
25.0%
M 1146
25.0%
A 1146
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28650
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9989
34.9%
1 4555
15.9%
3 2643
 
9.2%
4 2601
 
9.1%
5 1414
 
4.9%
2 1402
 
4.9%
P 1146
 
4.0%
H 1146
 
4.0%
M 1146
 
4.0%
A 1146
 
4.0%
Other values (4) 1462
 
5.1%
Distinct1038
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
Minimum1963-06-26 00:00:00
Maximum2024-04-25 00:00:00
2024-04-30T03:55:45.091140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:55:45.218472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1146
Missing (%)100.0%
Memory size10.2 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
1
594 
3
544 
5
 
4
2
 
2
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 594
51.8%
3 544
47.5%
5 4
 
0.3%
2 2
 
0.2%
4 2
 
0.2%

Length

2024-04-30T03:55:45.332407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:45.415076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 594
51.8%
3 544
47.5%
5 4
 
0.3%
2 2
 
0.2%
4 2
 
0.2%

영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
영업/정상
594 
폐업
544 
제외/삭제/전출
 
4
휴업
 
2
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length3.5968586
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 594
51.8%
폐업 544
47.5%
제외/삭제/전출 4
 
0.3%
휴업 2
 
0.2%
취소/말소/만료/정지/중지 2
 
0.2%

Length

2024-04-30T03:55:45.538579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:45.635869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 594
51.8%
폐업 544
47.5%
제외/삭제/전출 4
 
0.3%
휴업 2
 
0.2%
취소/말소/만료/정지/중지 2
 
0.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
13
594 
3
544 
15
 
4
2
 
2
24
 
2

Length

Max length2
Median length2
Mean length1.5235602
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 594
51.8%
3 544
47.5%
15 4
 
0.3%
2 2
 
0.2%
24 2
 
0.2%

Length

2024-04-30T03:55:45.728798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:45.809558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 594
51.8%
3 544
47.5%
15 4
 
0.3%
2 2
 
0.2%
24 2
 
0.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
영업중
594 
폐업
544 
전출
 
4
휴업
 
2
직권폐업
 
2

Length

Max length4
Median length3
Mean length2.521815
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 594
51.8%
폐업 544
47.5%
전출 4
 
0.3%
휴업 2
 
0.2%
직권폐업 2
 
0.2%

Length

2024-04-30T03:55:45.910717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:46.003648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 594
51.8%
폐업 544
47.5%
전출 4
 
0.3%
휴업 2
 
0.2%
직권폐업 2
 
0.2%

폐업일자
Date

MISSING 

Distinct489
Distinct (%)89.6%
Missing600
Missing (%)52.4%
Memory size9.1 KiB
Minimum2006-10-12 00:00:00
Maximum2024-03-28 00:00:00
2024-04-30T03:55:46.097298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:55:46.202421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct16
Distinct (%)100.0%
Missing1130
Missing (%)98.6%
Memory size9.1 KiB
Minimum2009-10-01 00:00:00
Maximum2023-11-14 00:00:00
2024-04-30T03:55:46.293871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:55:46.382888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

휴업종료일자
Date

MISSING 

Distinct16
Distinct (%)100.0%
Missing1130
Missing (%)98.6%
Memory size9.1 KiB
Minimum2010-01-15 00:00:00
Maximum2024-05-31 00:00:00
2024-04-30T03:55:46.497198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:55:46.614737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1146
Missing (%)100.0%
Memory size10.2 KiB

전화번호
Text

MISSING 

Distinct1015
Distinct (%)89.7%
Missing15
Missing (%)1.3%
Memory size9.1 KiB
2024-04-30T03:55:46.828553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length11.002653
Min length8

Characters and Unicode

Total characters12444
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique926 ?
Unique (%)81.9%

Sample

1st row02-2244-7817
2nd row02-2212-6451
3rd row02-2244-3085
4th row02-967-3496
5th row02-966-2951
ValueCountFrequency (%)
968-7123 5
 
0.4%
02-965-6868 4
 
0.4%
6456-7177 4
 
0.4%
02-929-7645 4
 
0.4%
02-960-3600 3
 
0.3%
963-2580 3
 
0.3%
955-2804 3
 
0.3%
02-960-3500 3
 
0.3%
02-959-2875 3
 
0.3%
02-968-5949 3
 
0.3%
Other values (1005) 1096
96.9%
2024-04-30T03:55:47.162043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2481
19.9%
- 2068
16.6%
0 1647
13.2%
9 1066
8.6%
6 971
 
7.8%
5 869
 
7.0%
7 830
 
6.7%
4 667
 
5.4%
1 632
 
5.1%
8 612
 
4.9%
Other values (2) 601
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10374
83.4%
Dash Punctuation 2068
 
16.6%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2481
23.9%
0 1647
15.9%
9 1066
10.3%
6 971
 
9.4%
5 869
 
8.4%
7 830
 
8.0%
4 667
 
6.4%
1 632
 
6.1%
8 612
 
5.9%
3 599
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 2068
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12444
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2481
19.9%
- 2068
16.6%
0 1647
13.2%
9 1066
8.6%
6 971
 
7.8%
5 869
 
7.0%
7 830
 
6.7%
4 667
 
5.4%
1 632
 
5.1%
8 612
 
4.9%
Other values (2) 601
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12444
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2481
19.9%
- 2068
16.6%
0 1647
13.2%
9 1066
8.6%
6 971
 
7.8%
5 869
 
7.0%
7 830
 
6.7%
4 667
 
5.4%
1 632
 
5.1%
8 612
 
4.9%
Other values (2) 601
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1146
Missing (%)100.0%
Memory size10.2 KiB

소재지우편번호
Text

MISSING 

Distinct117
Distinct (%)14.9%
Missing359
Missing (%)31.3%
Memory size9.1 KiB
2024-04-30T03:55:47.402429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0978399
Min length6

Characters and Unicode

Total characters4799
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

Unique31 ?
Unique (%)3.9%

Sample

1st row130030
2nd row130-859
3rd row130872
4th row130831
5th row130872
ValueCountFrequency (%)
130864 152
 
19.3%
130060 66
 
8.4%
130867 34
 
4.3%
130805 21
 
2.7%
130100 20
 
2.5%
130840 19
 
2.4%
130851 18
 
2.3%
130817 16
 
2.0%
130865 15
 
1.9%
130030 14
 
1.8%
Other values (107) 412
52.4%
2024-04-30T03:55:47.774699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1213
25.3%
1 919
19.1%
3 901
18.8%
8 656
13.7%
6 358
 
7.5%
4 239
 
5.0%
7 163
 
3.4%
5 129
 
2.7%
2 97
 
2.0%
- 77
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4722
98.4%
Dash Punctuation 77
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1213
25.7%
1 919
19.5%
3 901
19.1%
8 656
13.9%
6 358
 
7.6%
4 239
 
5.1%
7 163
 
3.5%
5 129
 
2.7%
2 97
 
2.1%
9 47
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4799
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1213
25.3%
1 919
19.1%
3 901
18.8%
8 656
13.7%
6 358
 
7.5%
4 239
 
5.0%
7 163
 
3.4%
5 129
 
2.7%
2 97
 
2.0%
- 77
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4799
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1213
25.3%
1 919
19.1%
3 901
18.8%
8 656
13.7%
6 358
 
7.5%
4 239
 
5.0%
7 163
 
3.4%
5 129
 
2.7%
2 97
 
2.0%
- 77
 
1.6%

지번주소
Text

MISSING 

Distinct965
Distinct (%)88.8%
Missing59
Missing (%)5.1%
Memory size9.1 KiB
2024-04-30T03:55:48.035284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length51
Mean length29.054278
Min length18

Characters and Unicode

Total characters31582
Distinct characters236
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique878 ?
Unique (%)80.8%

Sample

1st row서울특별시 동대문구 전농로 60(답십리2동 258-6)
2nd row서울특별시 동대문구 전농동 648번지 33호
3rd row서울특별시 동대문구 전농동 36번지 5호 지하1,1층
4th row서울특별시 동대문구 회기동 77번지 8호 3층
5th row서울특별시 동대문구 이문1동 291번지 30호
ValueCountFrequency (%)
서울특별시 1087
 
17.0%
동대문구 1087
 
17.0%
2층 225
 
3.5%
제기동 223
 
3.5%
3층 123
 
1.9%
1호 117
 
1.8%
청량리동 88
 
1.4%
1층 86
 
1.3%
장안동 83
 
1.3%
용두동 67
 
1.0%
Other values (1068) 3215
50.2%
2024-04-30T03:55:48.428837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5332
 
16.9%
2258
 
7.1%
1 1507
 
4.8%
2 1273
 
4.0%
1179
 
3.7%
1116
 
3.5%
1103
 
3.5%
1095
 
3.5%
1088
 
3.4%
1088
 
3.4%
Other values (226) 14543
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18459
58.4%
Decimal Number 6792
 
21.5%
Space Separator 5332
 
16.9%
Dash Punctuation 257
 
0.8%
Open Punctuation 214
 
0.7%
Close Punctuation 214
 
0.7%
Other Punctuation 189
 
0.6%
Uppercase Letter 100
 
0.3%
Math Symbol 24
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2258
 
12.2%
1179
 
6.4%
1116
 
6.0%
1103
 
6.0%
1095
 
5.9%
1088
 
5.9%
1088
 
5.9%
1087
 
5.9%
1087
 
5.9%
845
 
4.6%
Other values (187) 6513
35.3%
Uppercase Letter
ValueCountFrequency (%)
S 17
17.0%
A 17
17.0%
K 16
16.0%
B 10
10.0%
F 8
8.0%
Y 8
8.0%
C 5
 
5.0%
L 4
 
4.0%
T 2
 
2.0%
W 2
 
2.0%
Other values (9) 11
11.0%
Decimal Number
ValueCountFrequency (%)
1 1507
22.2%
2 1273
18.7%
3 847
12.5%
4 605
8.9%
0 601
 
8.8%
5 494
 
7.3%
6 482
 
7.1%
9 368
 
5.4%
7 336
 
4.9%
8 279
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 183
96.8%
. 4
 
2.1%
/ 1
 
0.5%
@ 1
 
0.5%
Space Separator
ValueCountFrequency (%)
5332
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 257
100.0%
Open Punctuation
ValueCountFrequency (%)
( 214
100.0%
Close Punctuation
ValueCountFrequency (%)
) 214
100.0%
Math Symbol
ValueCountFrequency (%)
~ 24
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18459
58.4%
Common 13022
41.2%
Latin 101
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2258
 
12.2%
1179
 
6.4%
1116
 
6.0%
1103
 
6.0%
1095
 
5.9%
1088
 
5.9%
1088
 
5.9%
1087
 
5.9%
1087
 
5.9%
845
 
4.6%
Other values (187) 6513
35.3%
Latin
ValueCountFrequency (%)
S 17
16.8%
A 17
16.8%
K 16
15.8%
B 10
9.9%
F 8
7.9%
Y 8
7.9%
C 5
 
5.0%
L 4
 
4.0%
T 2
 
2.0%
W 2
 
2.0%
Other values (10) 12
11.9%
Common
ValueCountFrequency (%)
5332
40.9%
1 1507
 
11.6%
2 1273
 
9.8%
3 847
 
6.5%
4 605
 
4.6%
0 601
 
4.6%
5 494
 
3.8%
6 482
 
3.7%
9 368
 
2.8%
7 336
 
2.6%
Other values (9) 1177
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18459
58.4%
ASCII 13122
41.5%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5332
40.6%
1 1507
 
11.5%
2 1273
 
9.7%
3 847
 
6.5%
4 605
 
4.6%
0 601
 
4.6%
5 494
 
3.8%
6 482
 
3.7%
9 368
 
2.8%
7 336
 
2.6%
Other values (28) 1277
 
9.7%
Hangul
ValueCountFrequency (%)
2258
 
12.2%
1179
 
6.4%
1116
 
6.0%
1103
 
6.0%
1095
 
5.9%
1088
 
5.9%
1088
 
5.9%
1087
 
5.9%
1087
 
5.9%
845
 
4.6%
Other values (187) 6513
35.3%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

MISSING 

Distinct822
Distinct (%)86.0%
Missing190
Missing (%)16.6%
Memory size9.1 KiB
2024-04-30T03:55:48.668347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length52
Mean length30.752092
Min length22

Characters and Unicode

Total characters29399
Distinct characters226
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

Unique729 ?
Unique (%)76.3%

Sample

1st row서울특별시 동대문구 답십리로 62 (전농동)
2nd row서울특별시 동대문구 전농로16길 30, 지하1,1층 (전농동)
3rd row서울특별시 동대문구 이문로 23-1, 3층 (회기동)
4th row서울특별시 동대문구 이문로 133-1 (이문동)
5th row서울특별시 동대문구 이문로 9-1 (회기동)
ValueCountFrequency (%)
서울특별시 956
 
16.2%
동대문구 956
 
16.2%
2층 254
 
4.3%
제기동 209
 
3.5%
장안동 180
 
3.1%
왕산로 157
 
2.7%
3층 134
 
2.3%
답십리동 121
 
2.1%
전농동 101
 
1.7%
청량리동 83
 
1.4%
Other values (698) 2747
46.6%
2024-04-30T03:55:49.050225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4944
 
16.8%
1990
 
6.8%
1102
 
3.7%
1049
 
3.6%
989
 
3.4%
982
 
3.3%
) 980
 
3.3%
( 978
 
3.3%
969
 
3.3%
960
 
3.3%
Other values (216) 14456
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17249
58.7%
Space Separator 4944
 
16.8%
Decimal Number 4092
 
13.9%
Close Punctuation 980
 
3.3%
Open Punctuation 978
 
3.3%
Other Punctuation 942
 
3.2%
Dash Punctuation 107
 
0.4%
Uppercase Letter 76
 
0.3%
Math Symbol 31
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1990
 
11.5%
1102
 
6.4%
1049
 
6.1%
989
 
5.7%
982
 
5.7%
969
 
5.6%
960
 
5.6%
957
 
5.5%
956
 
5.5%
956
 
5.5%
Other values (181) 6339
36.7%
Uppercase Letter
ValueCountFrequency (%)
A 10
13.2%
S 10
13.2%
K 9
11.8%
Y 9
11.8%
F 9
11.8%
B 8
10.5%
C 6
7.9%
L 4
 
5.3%
W 2
 
2.6%
E 2
 
2.6%
Other values (7) 7
9.2%
Decimal Number
ValueCountFrequency (%)
2 882
21.6%
1 844
20.6%
3 563
13.8%
4 385
9.4%
0 340
 
8.3%
5 287
 
7.0%
7 225
 
5.5%
6 218
 
5.3%
9 179
 
4.4%
8 169
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 940
99.8%
: 1
 
0.1%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
4944
100.0%
Close Punctuation
ValueCountFrequency (%)
) 980
100.0%
Open Punctuation
ValueCountFrequency (%)
( 978
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 107
100.0%
Math Symbol
ValueCountFrequency (%)
~ 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17249
58.7%
Common 12074
41.1%
Latin 76
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1990
 
11.5%
1102
 
6.4%
1049
 
6.1%
989
 
5.7%
982
 
5.7%
969
 
5.6%
960
 
5.6%
957
 
5.5%
956
 
5.5%
956
 
5.5%
Other values (181) 6339
36.7%
Common
ValueCountFrequency (%)
4944
40.9%
) 980
 
8.1%
( 978
 
8.1%
, 940
 
7.8%
2 882
 
7.3%
1 844
 
7.0%
3 563
 
4.7%
4 385
 
3.2%
0 340
 
2.8%
5 287
 
2.4%
Other values (8) 931
 
7.7%
Latin
ValueCountFrequency (%)
A 10
13.2%
S 10
13.2%
K 9
11.8%
Y 9
11.8%
F 9
11.8%
B 8
10.5%
C 6
7.9%
L 4
 
5.3%
W 2
 
2.6%
E 2
 
2.6%
Other values (7) 7
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17249
58.7%
ASCII 12150
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4944
40.7%
) 980
 
8.1%
( 978
 
8.0%
, 940
 
7.7%
2 882
 
7.3%
1 844
 
6.9%
3 563
 
4.6%
4 385
 
3.2%
0 340
 
2.8%
5 287
 
2.4%
Other values (25) 1007
 
8.3%
Hangul
ValueCountFrequency (%)
1990
 
11.5%
1102
 
6.4%
1049
 
6.1%
989
 
5.7%
982
 
5.7%
969
 
5.6%
960
 
5.6%
957
 
5.5%
956
 
5.5%
956
 
5.5%
Other values (181) 6339
36.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct183
Distinct (%)20.0%
Missing232
Missing (%)20.2%
Infinite0
Infinite (%)0.0%
Mean21495.198
Minimum2403
Maximum130883
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-04-30T03:55:49.172449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2403
5-th percentile2427
Q12524
median2570
Q32622
95-th percentile130864
Maximum130883
Range128480
Interquartile range (IQR)98

Descriptive statistics

Standard deviation45541.426
Coefficient of variation (CV)2.1186791
Kurtosis1.9609395
Mean21495.198
Median Absolute Deviation (MAD)47
Skewness1.9891294
Sum19646611
Variance2.0740215 × 109
MonotonicityNot monotonic
2024-04-30T03:55:49.288421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2570 72
 
6.3%
130864 43
 
3.8%
2569 34
 
3.0%
2573 31
 
2.7%
2624 23
 
2.0%
2490 22
 
1.9%
2559 22
 
1.9%
2523 18
 
1.6%
2604 17
 
1.5%
2560 16
 
1.4%
Other values (173) 616
53.8%
(Missing) 232
 
20.2%
ValueCountFrequency (%)
2403 6
0.5%
2406 5
0.4%
2407 1
 
0.1%
2409 6
0.5%
2410 1
 
0.1%
2412 2
 
0.2%
2418 8
0.7%
2419 9
0.8%
2420 5
0.4%
2423 2
 
0.2%
ValueCountFrequency (%)
130883 4
 
0.3%
130876 3
 
0.3%
130875 3
 
0.3%
130872 1
 
0.1%
130870 2
 
0.2%
130869 2
 
0.2%
130867 4
 
0.3%
130865 6
 
0.5%
130864 43
3.8%
130863 2
 
0.2%
Distinct988
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2024-04-30T03:55:49.463902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length7.026178
Min length3

Characters and Unicode

Total characters8052
Distinct characters394
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique887 ?
Unique (%)77.4%

Sample

1st row김명원치과의원
2nd row충남한의원
3rd row내인당한의원
4th row임치과의원
5th row김기혁치과의원
ValueCountFrequency (%)
명문한의원 7
 
0.6%
동아당한의원 7
 
0.6%
송강한의원 7
 
0.6%
삼락한의원 6
 
0.5%
신설동보한의원 5
 
0.4%
거창당한의원 5
 
0.4%
충신한의원 5
 
0.4%
금광한의원 5
 
0.4%
활인당한의원 4
 
0.3%
서울연세의원 4
 
0.3%
Other values (987) 1103
95.3%
2024-04-30T03:55:49.778237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1228
 
15.3%
1175
 
14.6%
578
 
7.2%
510
 
6.3%
263
 
3.3%
103
 
1.3%
96
 
1.2%
93
 
1.2%
90
 
1.1%
89
 
1.1%
Other values (384) 3827
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7978
99.1%
Uppercase Letter 20
 
0.2%
Space Separator 12
 
0.1%
Lowercase Letter 12
 
0.1%
Other Punctuation 9
 
0.1%
Close Punctuation 7
 
0.1%
Open Punctuation 6
 
0.1%
Decimal Number 6
 
0.1%
Modifier Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1228
 
15.4%
1175
 
14.7%
578
 
7.2%
510
 
6.4%
263
 
3.3%
103
 
1.3%
96
 
1.2%
93
 
1.2%
90
 
1.1%
89
 
1.1%
Other values (358) 3753
47.0%
Uppercase Letter
ValueCountFrequency (%)
E 3
15.0%
M 3
15.0%
K 3
15.0%
Y 2
10.0%
N 2
10.0%
S 2
10.0%
D 2
10.0%
U 1
 
5.0%
B 1
 
5.0%
I 1
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
r 3
25.0%
s 3
25.0%
e 2
16.7%
y 1
 
8.3%
p 1
 
8.3%
i 1
 
8.3%
m 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
6 2
33.3%
3 2
33.3%
5 2
33.3%
Other Punctuation
ValueCountFrequency (%)
? 6
66.7%
& 3
33.3%
Space Separator
ValueCountFrequency (%)
12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Modifier Symbol
ValueCountFrequency (%)
´ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7978
99.1%
Common 42
 
0.5%
Latin 32
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1228
 
15.4%
1175
 
14.7%
578
 
7.2%
510
 
6.4%
263
 
3.3%
103
 
1.3%
96
 
1.2%
93
 
1.2%
90
 
1.1%
89
 
1.1%
Other values (358) 3753
47.0%
Latin
ValueCountFrequency (%)
E 3
9.4%
M 3
9.4%
r 3
9.4%
K 3
9.4%
s 3
9.4%
Y 2
 
6.2%
N 2
 
6.2%
S 2
 
6.2%
D 2
 
6.2%
e 2
 
6.2%
Other values (7) 7
21.9%
Common
ValueCountFrequency (%)
12
28.6%
) 7
16.7%
? 6
14.3%
( 6
14.3%
& 3
 
7.1%
6 2
 
4.8%
3 2
 
4.8%
5 2
 
4.8%
´ 2
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7978
99.1%
ASCII 72
 
0.9%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1228
 
15.4%
1175
 
14.7%
578
 
7.2%
510
 
6.4%
263
 
3.3%
103
 
1.3%
96
 
1.2%
93
 
1.2%
90
 
1.1%
89
 
1.1%
Other values (358) 3753
47.0%
ASCII
ValueCountFrequency (%)
12
16.7%
) 7
 
9.7%
? 6
 
8.3%
( 6
 
8.3%
E 3
 
4.2%
M 3
 
4.2%
& 3
 
4.2%
r 3
 
4.2%
K 3
 
4.2%
s 3
 
4.2%
Other values (15) 23
31.9%
None
ValueCountFrequency (%)
´ 2
100.0%
Distinct976
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
Minimum2008-12-01 19:13:10
Maximum2024-04-25 23:13:20
2024-04-30T03:55:50.079252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:55:50.197747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
U
596 
I
550 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 596
52.0%
I 550
48.0%

Length

2024-04-30T03:55:50.308411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:50.394440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 596
52.0%
i 550
48.0%
Distinct371
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-04-30T03:55:50.487172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:55:50.599974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
한의원
460 
의원
424 
치과의원
260 
보건소
 
1
조산원
 
1

Length

Max length4
Median length3
Mean length2.8568935
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
한의원 460
40.1%
의원 424
37.0%
치과의원 260
22.7%
보건소 1
 
0.1%
조산원 1
 
0.1%

Length

2024-04-30T03:55:50.719549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:50.831350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한의원 460
40.1%
의원 424
37.0%
치과의원 260
22.7%
보건소 1
 
0.1%
조산원 1
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct483
Distinct (%)51.1%
Missing200
Missing (%)17.5%
Infinite0
Infinite (%)0.0%
Mean204479.07
Minimum202012.62
Maximum206543.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-04-30T03:55:50.939043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202012.62
5-th percentile202823.91
Q1203302.38
median204551.74
Q3205443.13
95-th percentile206304.01
Maximum206543.16
Range4530.5352
Interquartile range (IQR)2140.7498

Descriptive statistics

Standard deviation1176.8612
Coefficient of variation (CV)0.0057554116
Kurtosis-1.2034682
Mean204479.07
Median Absolute Deviation (MAD)1143.3935
Skewness0.0054200766
Sum1.934372 × 108
Variance1385002.3
MonotonicityNot monotonic
2024-04-30T03:55:51.056289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204089.817117361 21
 
1.8%
203155.504921512 18
 
1.6%
203289.24962427 15
 
1.3%
205271.704936121 11
 
1.0%
206101.9138443 10
 
0.9%
204687.977091636 10
 
0.9%
205102.874915953 9
 
0.8%
203624.129825056 8
 
0.7%
203721.241499342 8
 
0.7%
203395.308400587 8
 
0.7%
Other values (473) 828
72.3%
(Missing) 200
 
17.5%
ValueCountFrequency (%)
202012.621510207 4
0.3%
202042.817335648 1
 
0.1%
202056.089579192 1
 
0.1%
202067.966819758 1
 
0.1%
202116.938316772 1
 
0.1%
202119.284217428 3
0.3%
202128.460068469 1
 
0.1%
202132.961071614 1
 
0.1%
202136.434632005 1
 
0.1%
202137.437125277 1
 
0.1%
ValueCountFrequency (%)
206543.156690365 1
 
0.1%
206522.763968502 1
 
0.1%
206521.405320134 5
0.4%
206502.751884821 3
0.3%
206485.648747757 1
 
0.1%
206484.233644024 4
0.3%
206473.617790663 1
 
0.1%
206471.128872298 3
0.3%
206467.421144593 1
 
0.1%
206449.764689744 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct484
Distinct (%)51.2%
Missing200
Missing (%)17.5%
Infinite0
Infinite (%)0.0%
Mean452949.58
Minimum450987.05
Maximum455899.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-04-30T03:55:51.177806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450987.05
5-th percentile451481.17
Q1452321.08
median452924.26
Q3453270.26
95-th percentile454846.06
Maximum455899.98
Range4912.934
Interquartile range (IQR)949.17283

Descriptive statistics

Standard deviation955.71701
Coefficient of variation (CV)0.0021099854
Kurtosis0.65550958
Mean452949.58
Median Absolute Deviation (MAD)413.40742
Skewness0.62470253
Sum4.284903 × 108
Variance913395.01
MonotonicityNot monotonic
2024-04-30T03:55:51.306090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
453314.135663101 21
 
1.8%
452914.607542858 18
 
1.6%
452971.167975053 15
 
1.3%
452706.897879436 11
 
1.0%
451578.200073082 10
 
0.9%
452155.691148899 10
 
0.9%
452765.708982856 9
 
0.8%
452935.837397665 8
 
0.7%
452922.376839569 8
 
0.7%
452989.973649477 8
 
0.7%
Other values (474) 828
72.3%
(Missing) 200
 
17.5%
ValueCountFrequency (%)
450987.048392613 1
 
0.1%
451014.511031732 1
 
0.1%
451031.569748553 1
 
0.1%
451059.346901649 5
0.4%
451061.072414994 2
 
0.2%
451080.986788942 1
 
0.1%
451094.412855942 1
 
0.1%
451098.299986522 3
0.3%
451120.5353714 3
0.3%
451134.504571525 1
 
0.1%
ValueCountFrequency (%)
455899.982370316 2
0.2%
455848.35475815 1
0.1%
455733.487227905 1
0.1%
455676.187399755 1
0.1%
455671.621878218 2
0.2%
455659.587050802 1
0.1%
455658.906013827 1
0.1%
455652.31748734 2
0.2%
455651.759148378 2
0.2%
455650.25644686 1
0.1%
Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
한의원
349 
<NA>
336 
의원
285 
치과의원
175 
조산원
 
1

Length

Max length4
Median length3
Mean length3.1972077
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
한의원 349
30.5%
<NA> 336
29.3%
의원 285
24.9%
치과의원 175
15.3%
조산원 1
 
0.1%

Length

2024-04-30T03:55:51.426013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:51.526200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한의원 349
30.5%
na 336
29.3%
의원 285
24.9%
치과의원 175
15.3%
조산원 1
 
0.1%

의료인수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)1.4%
Missing336
Missing (%)29.3%
Infinite0
Infinite (%)0.0%
Mean1.0962963
Minimum0
Maximum21
Zeros90
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-04-30T03:55:51.611492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1535343
Coefficient of variation (CV)1.0522103
Kurtosis154.09436
Mean1.0962963
Median Absolute Deviation (MAD)0
Skewness10.549998
Sum888
Variance1.3306414
MonotonicityNot monotonic
2024-04-30T03:55:51.700180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 630
55.0%
0 90
 
7.9%
2 69
 
6.0%
3 8
 
0.7%
4 6
 
0.5%
5 2
 
0.2%
12 1
 
0.1%
21 1
 
0.1%
16 1
 
0.1%
7 1
 
0.1%
(Missing) 336
29.3%
ValueCountFrequency (%)
0 90
 
7.9%
1 630
55.0%
2 69
 
6.0%
3 8
 
0.7%
4 6
 
0.5%
5 2
 
0.2%
6 1
 
0.1%
7 1
 
0.1%
12 1
 
0.1%
16 1
 
0.1%
ValueCountFrequency (%)
21 1
 
0.1%
16 1
 
0.1%
12 1
 
0.1%
7 1
 
0.1%
6 1
 
0.1%
5 2
 
0.2%
4 6
 
0.5%
3 8
 
0.7%
2 69
 
6.0%
1 630
55.0%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)1.2%
Missing336
Missing (%)29.3%
Infinite0
Infinite (%)0.0%
Mean0.18395062
Minimum0
Maximum20
Zeros775
Zeros (%)67.6%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-04-30T03:55:51.798123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1679652
Coefficient of variation (CV)6.3493408
Kurtosis121.36843
Mean0.18395062
Median Absolute Deviation (MAD)0
Skewness9.5358459
Sum149
Variance1.3641426
MonotonicityNot monotonic
2024-04-30T03:55:51.897912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 775
67.6%
1 13
 
1.1%
4 6
 
0.5%
8 4
 
0.3%
3 3
 
0.3%
5 3
 
0.3%
7 3
 
0.3%
9 1
 
0.1%
20 1
 
0.1%
6 1
 
0.1%
(Missing) 336
29.3%
ValueCountFrequency (%)
0 775
67.6%
1 13
 
1.1%
3 3
 
0.3%
4 6
 
0.5%
5 3
 
0.3%
6 1
 
0.1%
7 3
 
0.3%
8 4
 
0.3%
9 1
 
0.1%
20 1
 
0.1%
ValueCountFrequency (%)
20 1
 
0.1%
9 1
 
0.1%
8 4
 
0.3%
7 3
 
0.3%
6 1
 
0.1%
5 3
 
0.3%
4 6
 
0.5%
3 3
 
0.3%
1 13
 
1.1%
0 775
67.6%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)2.0%
Missing336
Missing (%)29.3%
Infinite0
Infinite (%)0.0%
Mean0.51851852
Minimum0
Maximum35
Zeros773
Zeros (%)67.5%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-04-30T03:55:51.992499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum35
Range35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.4580699
Coefficient of variation (CV)6.6691348
Kurtosis61.746352
Mean0.51851852
Median Absolute Deviation (MAD)0
Skewness7.7775354
Sum420
Variance11.958247
MonotonicityNot monotonic
2024-04-30T03:55:52.101176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 773
67.5%
1 9
 
0.8%
29 6
 
0.5%
4 5
 
0.4%
2 3
 
0.3%
5 2
 
0.2%
15 2
 
0.2%
6 2
 
0.2%
3 1
 
0.1%
9 1
 
0.1%
Other values (6) 6
 
0.5%
(Missing) 336
29.3%
ValueCountFrequency (%)
0 773
67.5%
1 9
 
0.8%
2 3
 
0.3%
3 1
 
0.1%
4 5
 
0.4%
5 2
 
0.2%
6 2
 
0.2%
7 1
 
0.1%
9 1
 
0.1%
15 2
 
0.2%
ValueCountFrequency (%)
35 1
 
0.1%
32 1
 
0.1%
29 6
0.5%
26 1
 
0.1%
25 1
 
0.1%
22 1
 
0.1%
15 2
 
0.2%
9 1
 
0.1%
7 1
 
0.1%
6 2
 
0.2%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct565
Distinct (%)69.8%
Missing336
Missing (%)29.3%
Infinite0
Infinite (%)0.0%
Mean110.24584
Minimum0
Maximum2822
Zeros81
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-04-30T03:55:52.219982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q144.11
median78.95
Q3127.075
95-th percentile262.9525
Maximum2822
Range2822
Interquartile range (IQR)82.965

Descriptive statistics

Standard deviation164.63473
Coefficient of variation (CV)1.4933419
Kurtosis113.33623
Mean110.24584
Median Absolute Deviation (MAD)39.585
Skewness8.6643795
Sum89299.13
Variance27104.593
MonotonicityNot monotonic
2024-04-30T03:55:52.332498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 81
 
7.1%
51.0 7
 
0.6%
66.0 6
 
0.5%
75.0 6
 
0.5%
123.7 5
 
0.4%
48.0 5
 
0.4%
108.0 4
 
0.3%
110.0 4
 
0.3%
23.25 4
 
0.3%
64.0 4
 
0.3%
Other values (555) 684
59.7%
(Missing) 336
29.3%
ValueCountFrequency (%)
0.0 81
7.1%
12.6 1
 
0.1%
12.62 1
 
0.1%
14.52 1
 
0.1%
15.66 1
 
0.1%
16.28 1
 
0.1%
17.58 1
 
0.1%
17.75 1
 
0.1%
18.02 1
 
0.1%
18.24 1
 
0.1%
ValueCountFrequency (%)
2822.0 1
0.1%
1796.21 1
0.1%
1515.86 1
0.1%
1115.92 1
0.1%
907.74 1
0.1%
693.0 1
0.1%
690.24 1
0.1%
686.8 1
0.1%
683.74 1
0.1%
675.9 1
0.1%

진료과목내용
Text

MISSING 

Distinct226
Distinct (%)27.9%
Missing336
Missing (%)29.3%
Memory size9.1 KiB
2024-04-30T03:55:52.499962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length59
Mean length14.239506
Min length3

Characters and Unicode

Total characters11534
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

Unique174 ?
Unique (%)21.5%

Sample

1st row401
2nd row401
3rd row401
4th row301 304 307 302 305 308 303 306
5th row301
ValueCountFrequency (%)
301 349
 
11.3%
302 199
 
6.4%
308 199
 
6.4%
303 198
 
6.4%
304 197
 
6.4%
305 195
 
6.3%
306 191
 
6.2%
307 188
 
6.1%
101 160
 
5.2%
401 147
 
4.8%
Other values (45) 1063
34.4%
2024-04-30T03:55:52.783190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2557
22.2%
1 2308
20.0%
2276
19.7%
3 2049
17.8%
4 783
 
6.8%
2 419
 
3.6%
5 340
 
2.9%
8 274
 
2.4%
6 254
 
2.2%
7 215
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9258
80.3%
Space Separator 2276
 
19.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2557
27.6%
1 2308
24.9%
3 2049
22.1%
4 783
 
8.5%
2 419
 
4.5%
5 340
 
3.7%
8 274
 
3.0%
6 254
 
2.7%
7 215
 
2.3%
9 59
 
0.6%
Space Separator
ValueCountFrequency (%)
2276
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11534
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2557
22.2%
1 2308
20.0%
2276
19.7%
3 2049
17.8%
4 783
 
6.8%
2 419
 
3.6%
5 340
 
2.9%
8 274
 
2.4%
6 254
 
2.2%
7 215
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11534
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2557
22.2%
1 2308
20.0%
2276
19.7%
3 2049
17.8%
4 783
 
6.8%
2 419
 
3.6%
5 340
 
2.9%
8 274
 
2.4%
6 254
 
2.2%
7 215
 
1.9%

진료과목내용명
Text

MISSING 

Distinct162
Distinct (%)20.0%
Missing336
Missing (%)29.3%
Memory size9.1 KiB
2024-04-30T03:55:52.960365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length95
Median length92
Mean length24.603704
Min length2

Characters and Unicode

Total characters19929
Distinct characters67
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)14.8%

Sample

1st row치과
2nd row치과
3rd row치과
4th row한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과
5th row한방내과
ValueCountFrequency (%)
한방내과 349
 
11.3%
침구과 199
 
6.4%
한방부인과 199
 
6.4%
한방소아과 198
 
6.4%
한방안?이비인후?피부과 197
 
6.4%
한방신경정신과 195
 
6.3%
한방재활의학과 191
 
6.2%
사상체질과 188
 
6.1%
내과 160
 
5.2%
치과 149
 
4.8%
Other values (35) 1061
34.4%
2024-04-30T03:55:53.246838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3160
15.9%
, 2276
 
11.4%
2276
 
11.4%
1362
 
6.8%
1335
 
6.7%
546
 
2.7%
533
 
2.7%
516
 
2.6%
467
 
2.3%
452
 
2.3%
Other values (57) 7006
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14983
75.2%
Other Punctuation 2670
 
13.4%
Space Separator 2276
 
11.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3160
21.1%
1362
 
9.1%
1335
 
8.9%
546
 
3.6%
533
 
3.6%
516
 
3.4%
467
 
3.1%
452
 
3.0%
436
 
2.9%
435
 
2.9%
Other values (54) 5741
38.3%
Other Punctuation
ValueCountFrequency (%)
, 2276
85.2%
? 394
 
14.8%
Space Separator
ValueCountFrequency (%)
2276
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14983
75.2%
Common 4946
 
24.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3160
21.1%
1362
 
9.1%
1335
 
8.9%
546
 
3.6%
533
 
3.6%
516
 
3.4%
467
 
3.1%
452
 
3.0%
436
 
2.9%
435
 
2.9%
Other values (54) 5741
38.3%
Common
ValueCountFrequency (%)
, 2276
46.0%
2276
46.0%
? 394
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14983
75.2%
ASCII 4946
 
24.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3160
21.1%
1362
 
9.1%
1335
 
8.9%
546
 
3.6%
533
 
3.6%
516
 
3.4%
467
 
3.1%
452
 
3.0%
436
 
2.9%
435
 
2.9%
Other values (54) 5741
38.3%
ASCII
ValueCountFrequency (%)
, 2276
46.0%
2276
46.0%
? 394
 
8.0%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1146
Missing (%)100.0%
Memory size10.2 KiB

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1146
Missing (%)100.0%
Memory size10.2 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1146
Missing (%)100.0%
Memory size10.2 KiB

구급차특수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
0
810 
<NA>
336 

Length

Max length4
Median length1
Mean length1.8795812
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 810
70.7%
<NA> 336
29.3%

Length

2024-04-30T03:55:53.370511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:53.471169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 810
70.7%
na 336
29.3%

구급차일반
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
0
810 
<NA>
336 

Length

Max length4
Median length1
Mean length1.8795812
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 810
70.7%
<NA> 336
29.3%

Length

2024-04-30T03:55:53.555107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:53.640544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 810
70.7%
na 336
29.3%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1146
Missing (%)100.0%
Memory size10.2 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1146
Missing (%)100.0%
Memory size10.2 KiB

허가병상수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
0
810 
<NA>
336 

Length

Max length4
Median length1
Mean length1.8795812
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 810
70.7%
<NA> 336
29.3%

Length

2024-04-30T03:55:53.729302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:53.827576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 810
70.7%
na 336
29.3%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1146
Missing (%)100.0%
Memory size10.2 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03050000PHMA11963305003404110000119630626<NA>3폐업3폐업20091126<NA><NA><NA>02-2244-7817<NA>130030서울특별시 동대문구 전농로 60(답십리2동 258-6)<NA><NA>김명원치과의원2009-11-26 16:07:04I2018-08-31 23:59:59.0치과의원<NA><NA>치과의원1000.0401치과<NA><NA><NA>00<NA><NA>0<NA>
13050000PHMA1196430500340411000011964-03-06<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2212-6451<NA>130-859서울특별시 동대문구 전농동 648번지 33호서울특별시 동대문구 답십리로 62 (전농동)2594충남한의원2024-01-05 09:13:31U2023-12-01 00:07:00.0한의원204165.05424452595.444091<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23050000PHMA1196530500340411000011965-08-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2244-3085<NA><NA>서울특별시 동대문구 전농동 36번지 5호 지하1,1층서울특별시 동대문구 전농로16길 30, 지하1,1층 (전농동)2507내인당한의원2023-10-27 09:31:09U2022-10-30 22:09:00.0한의원205139.983433452871.651892<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33050000PHMA11966305003404110000119660430<NA>1영업/정상13영업중<NA><NA><NA><NA>02-967-3496<NA>130872서울특별시 동대문구 회기동 77번지 8호 3층서울특별시 동대문구 이문로 23-1, 3층 (회기동)2460임치과의원2021-04-15 23:13:15U2021-04-17 02:40:00.0치과의원204817.341752454183.906005치과의원100106.0401치과<NA><NA><NA>00<NA><NA>0<NA>
43050000PHMA11966305003404110000219660810<NA>3폐업3폐업202012312020090120210228<NA>02-966-2951<NA>130831서울특별시 동대문구 이문1동 291번지 30호서울특별시 동대문구 이문로 133-1 (이문동)2403김기혁치과의원2020-12-18 16:52:26U2020-12-20 02:40:00.0치과의원205338.878417455149.715299치과의원1000.0401치과<NA><NA><NA>00<NA><NA>0<NA>
53050000PHMA11967305003404110000119670329<NA>3폐업3폐업20210928<NA><NA><NA>02-966-6910<NA>130872서울특별시 동대문구 회기동 71번지 1호서울특별시 동대문구 이문로 9-1 (회기동)2460마산한의원2021-09-29 17:31:52U2021-10-01 02:40:00.0한의원204730.604506454092.324598한의원1000.0301 304 307 302 305 308 303 306한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
63050000PHMA11967305003404110000219670816<NA>3폐업3폐업20160422<NA><NA><NA>02-967-0073<NA>130869서울특별시 동대문구 청량리동 520번지 46호서울특별시 동대문구 제기로 75-1 (청량리동)2470대인한의원2016-04-22 15:25:12I2018-08-31 23:59:59.0한의원203602.124493453838.374252한의원1000.0301한방내과<NA><NA><NA>00<NA><NA>0<NA>
73050000PHMA11967305003404110000319671004<NA>3폐업3폐업20131031<NA><NA><NA>02-965-4657<NA>130876서울특별시 동대문구 휘경1동 331번지서울특별시 동대문구 이문로 22 (휘경동)130876박희서한의원2013-10-31 13:47:46I2018-08-31 23:59:59.0한의원204836.911307454131.384137한의원100108.08301한방내과<NA><NA><NA>00<NA><NA>0<NA>
83050000PHMA11967305003404110000419671128<NA>3폐업3폐업20170410<NA><NA><NA>02-2212-7507<NA><NA>서울특별시 동대문구 전농동 655번지 30호서울특별시 동대문구 답십리로 95 (전농동)2553임치과의원2017-04-10 15:22:18I2018-08-31 23:59:59.0치과의원204444.480432452433.549643치과의원1000.0401치과<NA><NA><NA>00<NA><NA>0<NA>
93050000PHMA11968305003404110000119680304<NA>1영업/정상13영업중<NA><NA><NA><NA>02-923-7610<NA><NA>서울특별시 동대문구 용두동 233번지 23호 KY TOWER 3층 301호서울특별시 동대문구 왕산로 45, 3층 301호 (용두동, KY TOWER)2579박신경정신과의원2022-06-10 00:43:16U2021-12-05 23:02:00.0의원202435.226533452791.117213<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
11363050000PHMA1202430500340411000052024-03-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-961-8582<NA><NA>서울특별시 동대문구 이문동 305-2 4,5층서울특별시 동대문구 휘경로 13, 4,5층 (이문동)2419바로핀재활의학과의원2024-04-18 23:13:20U2023-12-03 22:00:00.0의원205383.086859454857.911444<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11373050000PHMA1202430500340411000062024-03-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6123-2828<NA><NA>서울특별시 동대문구 전농동 648-68 4층서울특별시 동대문구 답십리로 64, 4층 (전농동)2594아껴주는치과의원2024-03-22 02:13:17U2023-12-02 22:04:00.0치과의원204177.567279452577.285489<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11383050000PHMA1202430500340411000072024-03-24<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6954-2875<NA><NA>서울특별시 동대문구 전농동 620-47 청량리역 롯데캐슬 SKY-L65 5층 511~516호서울특별시 동대문구 답십리로 27, 5층 511~516호 (전농동, 청량리역 롯데캐슬 SKY-L65)2559연세스카이치과의원2024-04-19 00:43:15U2023-12-03 22:01:00.0치과의원203917.462724452951.998521<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11393050000PHMA1202430500340411000082024-03-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 전농동 620-56 힐스테이트 청량리 더퍼스트 101동 208호서울특별시 동대문구 왕산로36길 6, 힐스테이트 청량리 더퍼스트 101동 208호 (전농동)2559명성한의원2024-04-05 06:43:16U2023-12-04 00:07:00.0한의원203773.011885452994.518697<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11403050000PHMA1202430500340411000092024-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2247-7975<NA><NA>서울특별시 동대문구 장안동 295-6서울특별시 동대문구 답십리로 267, 6층 (장안동)2530장안베스트정형외과의원2024-04-19 01:43:16U2023-12-03 22:01:00.0의원206122.410814452272.262593<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11413050000PHMA1202430500340411000102024-03-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 제기동 892-71 한솔동의보감 2층 31,32,44,45,46호서울특별시 동대문구 왕산로 109, 한솔동의보감 2층 31,32,44,45,46호 (제기동)2568자연건강한의원2024-03-29 15:54:57I2023-12-02 21:01:00.0한의원203075.098505452918.836458<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11423050000PHMA1202430500340411000112024-04-04<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3394-7713<NA><NA>서울특별시 동대문구 장안동 371-10 7층서울특별시 동대문구 장한로25길 3, 7층 (장안동)2624연세동행정신건강의학과의원2024-04-11 23:13:14U2023-12-03 23:03:00.0의원206196.124114452148.134515<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11433050000PHMA1202430500340411000122024-04-22<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2244-7533<NA><NA>서울특별시 동대문구 장안동 93-5 1층서울특별시 동대문구 사가정로25길 22-4, 1층 (장안동)2515금성한의원2024-04-25 23:13:20U2023-12-03 22:07:00.0한의원206170.769726453042.665229<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11443050000PHMA1202430500340411000132024-04-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6951-5704<NA><NA>서울특별시 동대문구 답십리동 266-1 6층서울특별시 동대문구 전농로 38, 6층 (답십리동)2615늘조은이비인후과의원2024-04-24 09:19:14I2023-12-03 22:06:00.0의원204992.502701451779.215427<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11453050000PHMA1202430500340411000142024-04-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6958-5975<NA><NA>서울특별시 동대문구 답십리동 266-1 3, 4층서울특별시 동대문구 전농로 38, 3, 4층 (답십리동)2615답십리늘채움신경외과의원2024-04-25 10:27:00I2023-12-03 22:07:00.0의원204992.502701451779.215427<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>