Overview

Dataset statistics

Number of variables41
Number of observations839
Missing cells12704
Missing cells (%)36.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory286.9 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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-16220/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (57.9%)Imbalance
영업상태명 is highly imbalanced (57.9%)Imbalance
상세영업상태코드 is highly imbalanced (57.9%)Imbalance
상세영업상태명 is highly imbalanced (57.9%)Imbalance
인허가취소일자 has 839 (100.0%) missing valuesMissing
폐업일자 has 574 (68.4%) missing valuesMissing
휴업시작일자 has 832 (99.2%) missing valuesMissing
휴업종료일자 has 832 (99.2%) missing valuesMissing
재개업일자 has 839 (100.0%) missing valuesMissing
전화번호 has 29 (3.5%) missing valuesMissing
소재지면적 has 839 (100.0%) missing valuesMissing
소재지우편번호 has 385 (45.9%) missing valuesMissing
지번주소 has 125 (14.9%) missing valuesMissing
도로명주소 has 107 (12.8%) missing valuesMissing
도로명우편번호 has 107 (12.8%) missing valuesMissing
좌표정보(X) has 85 (10.1%) missing valuesMissing
좌표정보(Y) has 85 (10.1%) missing valuesMissing
의료인수 has 332 (39.6%) missing valuesMissing
입원실수 has 332 (39.6%) missing valuesMissing
병상수 has 332 (39.6%) missing valuesMissing
총면적 has 332 (39.6%) missing valuesMissing
진료과목내용 has 332 (39.6%) missing valuesMissing
진료과목내용명 has 332 (39.6%) missing valuesMissing
지정취소일자 has 839 (100.0%) missing valuesMissing
완화의료지정형태 has 839 (100.0%) missing valuesMissing
완화의료담당부서명 has 839 (100.0%) missing valuesMissing
총인원 has 839 (100.0%) missing valuesMissing
구조사수 has 839 (100.0%) missing valuesMissing
최초지정일자 has 839 (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 34 (4.1%) zerosZeros
입원실수 has 466 (55.5%) zerosZeros
병상수 has 458 (54.6%) zerosZeros
총면적 has 83 (9.9%) zerosZeros

Reproduction

Analysis started2024-05-11 06:45:41.981854
Analysis finished2024-05-11 06:45:44.736250
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 size6.7 KiB
3060000
839 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 839
100.0%

Length

2024-05-11T06:45:45.013256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:45:45.412845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 839
100.0%

관리번호
Text

UNIQUE 

Distinct839
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2024-05-11T06:45:46.116894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters20975
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

Unique839 ?
Unique (%)100.0%

Sample

1st rowPHMA119693060034041100001
2nd rowPHMA119693060034041100002
3rd rowPHMA119703060034041100001
4th rowPHMA119703060034041100002
5th rowPHMA119713060034041100001
ValueCountFrequency (%)
phma119693060034041100001 1
 
0.1%
phma120153060034041100011 1
 
0.1%
phma120123060034041100006 1
 
0.1%
phma120113060034041100018 1
 
0.1%
phma120113060034041100019 1
 
0.1%
phma120113060034041100020 1
 
0.1%
phma120113060034041100021 1
 
0.1%
phma120113060034041100022 1
 
0.1%
phma120123060034041100001 1
 
0.1%
phma120123060034041100002 1
 
0.1%
Other values (829) 829
98.8%
2024-05-11T06:45:47.268354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7285
34.7%
1 3462
16.5%
3 1903
 
9.1%
4 1848
 
8.8%
2 1036
 
4.9%
6 1004
 
4.8%
P 839
 
4.0%
H 839
 
4.0%
M 839
 
4.0%
A 839
 
4.0%
Other values (4) 1081
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17619
84.0%
Uppercase Letter 3356
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7285
41.3%
1 3462
19.6%
3 1903
 
10.8%
4 1848
 
10.5%
2 1036
 
5.9%
6 1004
 
5.7%
9 532
 
3.0%
8 204
 
1.2%
7 197
 
1.1%
5 148
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
P 839
25.0%
H 839
25.0%
M 839
25.0%
A 839
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17619
84.0%
Latin 3356
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7285
41.3%
1 3462
19.6%
3 1903
 
10.8%
4 1848
 
10.5%
2 1036
 
5.9%
6 1004
 
5.7%
9 532
 
3.0%
8 204
 
1.2%
7 197
 
1.1%
5 148
 
0.8%
Latin
ValueCountFrequency (%)
P 839
25.0%
H 839
25.0%
M 839
25.0%
A 839
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20975
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7285
34.7%
1 3462
16.5%
3 1903
 
9.1%
4 1848
 
8.8%
2 1036
 
4.9%
6 1004
 
4.8%
P 839
 
4.0%
H 839
 
4.0%
M 839
 
4.0%
A 839
 
4.0%
Other values (4) 1081
 
5.2%
Distinct779
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
Minimum1969-08-19 00:00:00
Maximum2024-04-18 00:00:00
2024-05-11T06:45:47.961825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:45:48.874324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
1
546 
3
289 
5
 
2
2
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 546
65.1%
3 289
34.4%
5 2
 
0.2%
2 1
 
0.1%
4 1
 
0.1%

Length

2024-05-11T06:45:49.438941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:45:49.969361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 546
65.1%
3 289
34.4%
5 2
 
0.2%
2 1
 
0.1%
4 1
 
0.1%

영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
영업/정상
546 
폐업
289 
제외/삭제/전출
 
2
휴업
 
1
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length3.9809297
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 546
65.1%
폐업 289
34.4%
제외/삭제/전출 2
 
0.2%
휴업 1
 
0.1%
취소/말소/만료/정지/중지 1
 
0.1%

Length

2024-05-11T06:45:50.580052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:45:51.150687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 546
65.1%
폐업 289
34.4%
제외/삭제/전출 2
 
0.2%
휴업 1
 
0.1%
취소/말소/만료/정지/중지 1
 
0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
13
546 
3
289 
15
 
2
2
 
1
24
 
1

Length

Max length2
Median length2
Mean length1.6543504
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
13 546
65.1%
3 289
34.4%
15 2
 
0.2%
2 1
 
0.1%
24 1
 
0.1%

Length

2024-05-11T06:45:51.822606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:45:52.220066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 546
65.1%
3 289
34.4%
15 2
 
0.2%
2 1
 
0.1%
24 1
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
영업중
546 
폐업
289 
전출
 
2
휴업
 
1
직권폐업
 
1

Length

Max length4
Median length3
Mean length2.6531585
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 546
65.1%
폐업 289
34.4%
전출 2
 
0.2%
휴업 1
 
0.1%
직권폐업 1
 
0.1%

Length

2024-05-11T06:45:52.709506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:45:53.219042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 546
65.1%
폐업 289
34.4%
전출 2
 
0.2%
휴업 1
 
0.1%
직권폐업 1
 
0.1%

폐업일자
Date

MISSING 

Distinct250
Distinct (%)94.3%
Missing574
Missing (%)68.4%
Memory size6.7 KiB
Minimum2003-02-28 00:00:00
Maximum2024-02-28 00:00:00
2024-05-11T06:45:53.849666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:45:54.296682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct6
Distinct (%)85.7%
Missing832
Missing (%)99.2%
Memory size6.7 KiB
Minimum2009-03-01 00:00:00
Maximum2023-08-07 00:00:00
2024-05-11T06:45:54.734362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:45:55.213735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

휴업종료일자
Date

MISSING 

Distinct6
Distinct (%)85.7%
Missing832
Missing (%)99.2%
Memory size6.7 KiB
Minimum2009-09-01 00:00:00
Maximum2024-08-02 00:00:00
2024-05-11T06:45:55.560937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:45:55.916312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

전화번호
Text

MISSING 

Distinct759
Distinct (%)93.7%
Missing29
Missing (%)3.5%
Memory size6.7 KiB
2024-05-11T06:45:56.618779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length11.009877
Min length3

Characters and Unicode

Total characters8918
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique716 ?
Unique (%)88.4%

Sample

1st row02-434-3035
2nd row02-434-4325
3rd row02-433-1909
4th row02-434-2732
5th row02-434-1700
ValueCountFrequency (%)
02-972-0114 4
 
0.5%
432-2857 4
 
0.5%
02-433-1075 3
 
0.4%
02-437-6152 3
 
0.4%
02-435-2878 3
 
0.4%
02-6212-0064 3
 
0.4%
02-435-4050 2
 
0.2%
02-432-1075 2
 
0.2%
2207-7770 2
 
0.2%
02-2208-7582 2
 
0.2%
Other values (749) 782
96.5%
2024-05-11T06:45:57.969847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1537
17.2%
2 1523
17.1%
0 1295
14.5%
4 838
9.4%
3 782
8.8%
5 613
 
6.9%
7 608
 
6.8%
9 521
 
5.8%
8 481
 
5.4%
1 440
 
4.9%
Other values (5) 280
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7377
82.7%
Dash Punctuation 1537
 
17.2%
Other Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1523
20.6%
0 1295
17.6%
4 838
11.4%
3 782
10.6%
5 613
8.3%
7 608
 
8.2%
9 521
 
7.1%
8 481
 
6.5%
1 440
 
6.0%
6 276
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 1537
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8918
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1537
17.2%
2 1523
17.1%
0 1295
14.5%
4 838
9.4%
3 782
8.8%
5 613
 
6.9%
7 608
 
6.8%
9 521
 
5.8%
8 481
 
5.4%
1 440
 
4.9%
Other values (5) 280
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8918
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1537
17.2%
2 1523
17.1%
0 1295
14.5%
4 838
9.4%
3 782
8.8%
5 613
 
6.9%
7 608
 
6.8%
9 521
 
5.8%
8 481
 
5.4%
1 440
 
4.9%
Other values (5) 280
 
3.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

소재지우편번호
Text

MISSING 

Distinct110
Distinct (%)24.2%
Missing385
Missing (%)45.9%
Memory size6.7 KiB
2024-05-11T06:45:58.695806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1123348
Min length6

Characters and Unicode

Total characters2775
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

Unique42 ?
Unique (%)9.3%

Sample

1st row131200
2nd row131819
3rd row131831
4th row131200
5th row131120
ValueCountFrequency (%)
131200 37
 
8.1%
131828 22
 
4.8%
131810 14
 
3.1%
131848 14
 
3.1%
131820 14
 
3.1%
131861 13
 
2.9%
131813 13
 
2.9%
131816 13
 
2.9%
131230 13
 
2.9%
131865 12
 
2.6%
Other values (100) 289
63.7%
2024-05-11T06:45:59.832406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1067
38.5%
3 536
19.3%
8 440
15.9%
0 214
 
7.7%
2 187
 
6.7%
6 85
 
3.1%
7 79
 
2.8%
5 61
 
2.2%
- 51
 
1.8%
4 31
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2724
98.2%
Dash Punctuation 51
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1067
39.2%
3 536
19.7%
8 440
16.2%
0 214
 
7.9%
2 187
 
6.9%
6 85
 
3.1%
7 79
 
2.9%
5 61
 
2.2%
4 31
 
1.1%
9 24
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2775
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1067
38.5%
3 536
19.3%
8 440
15.9%
0 214
 
7.7%
2 187
 
6.7%
6 85
 
3.1%
7 79
 
2.8%
5 61
 
2.2%
- 51
 
1.8%
4 31
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2775
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1067
38.5%
3 536
19.3%
8 440
15.9%
0 214
 
7.7%
2 187
 
6.7%
6 85
 
3.1%
7 79
 
2.8%
5 61
 
2.2%
- 51
 
1.8%
4 31
 
1.1%

지번주소
Text

MISSING 

Distinct612
Distinct (%)85.7%
Missing125
Missing (%)14.9%
Memory size6.7 KiB
2024-05-11T06:46:00.716776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40
Mean length24.896359
Min length17

Characters and Unicode

Total characters17776
Distinct characters210
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique532 ?
Unique (%)74.5%

Sample

1st row서울특별시 중랑구 면목3.8동 458-28
2nd row서울특별시 중랑구 면목2동 131번지 1호
3rd row서울특별시 중랑구 면목3.8동 496번지 3호
4th row서울특별시 중랑구 면목본동 502-7
5th row서울특별시 중랑구 중화2동 302-76
ValueCountFrequency (%)
서울특별시 714
 
19.0%
중랑구 714
 
19.0%
면목동 138
 
3.7%
1호 67
 
1.8%
상봉동 66
 
1.8%
2층 58
 
1.5%
망우동 55
 
1.5%
묵동 47
 
1.3%
중화동 46
 
1.2%
망우본동 46
 
1.2%
Other values (615) 1805
48.1%
2024-05-11T06:46:01.914136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3050
 
17.2%
809
 
4.6%
1 760
 
4.3%
745
 
4.2%
724
 
4.1%
715
 
4.0%
714
 
4.0%
714
 
4.0%
714
 
4.0%
714
 
4.0%
Other values (200) 8117
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10628
59.8%
Decimal Number 3792
 
21.3%
Space Separator 3050
 
17.2%
Dash Punctuation 177
 
1.0%
Other Punctuation 62
 
0.3%
Uppercase Letter 24
 
0.1%
Open Punctuation 19
 
0.1%
Close Punctuation 19
 
0.1%
Math Symbol 4
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
809
 
7.6%
745
 
7.0%
724
 
6.8%
715
 
6.7%
714
 
6.7%
714
 
6.7%
714
 
6.7%
714
 
6.7%
714
 
6.7%
541
 
5.1%
Other values (169) 3524
33.2%
Uppercase Letter
ValueCountFrequency (%)
S 7
29.2%
J 4
16.7%
H 2
 
8.3%
B 2
 
8.3%
C 2
 
8.3%
A 2
 
8.3%
F 1
 
4.2%
K 1
 
4.2%
M 1
 
4.2%
P 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
1 760
20.0%
2 572
15.1%
3 451
11.9%
4 361
9.5%
6 352
9.3%
0 336
8.9%
5 287
 
7.6%
8 252
 
6.6%
7 235
 
6.2%
9 186
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 33
53.2%
, 25
40.3%
@ 2
 
3.2%
& 2
 
3.2%
Space Separator
ValueCountFrequency (%)
3050
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 177
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10628
59.8%
Common 7123
40.1%
Latin 25
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
809
 
7.6%
745
 
7.0%
724
 
6.8%
715
 
6.7%
714
 
6.7%
714
 
6.7%
714
 
6.7%
714
 
6.7%
714
 
6.7%
541
 
5.1%
Other values (169) 3524
33.2%
Common
ValueCountFrequency (%)
3050
42.8%
1 760
 
10.7%
2 572
 
8.0%
3 451
 
6.3%
4 361
 
5.1%
6 352
 
4.9%
0 336
 
4.7%
5 287
 
4.0%
8 252
 
3.5%
7 235
 
3.3%
Other values (9) 467
 
6.6%
Latin
ValueCountFrequency (%)
S 7
28.0%
J 4
16.0%
H 2
 
8.0%
B 2
 
8.0%
C 2
 
8.0%
A 2
 
8.0%
F 1
 
4.0%
K 1
 
4.0%
M 1
 
4.0%
c 1
 
4.0%
Other values (2) 2
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10628
59.8%
ASCII 7148
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3050
42.7%
1 760
 
10.6%
2 572
 
8.0%
3 451
 
6.3%
4 361
 
5.1%
6 352
 
4.9%
0 336
 
4.7%
5 287
 
4.0%
8 252
 
3.5%
7 235
 
3.3%
Other values (21) 492
 
6.9%
Hangul
ValueCountFrequency (%)
809
 
7.6%
745
 
7.0%
724
 
6.8%
715
 
6.7%
714
 
6.7%
714
 
6.7%
714
 
6.7%
714
 
6.7%
714
 
6.7%
541
 
5.1%
Other values (169) 3524
33.2%

도로명주소
Text

MISSING 

Distinct671
Distinct (%)91.7%
Missing107
Missing (%)12.8%
Memory size6.7 KiB
2024-05-11T06:46:02.777007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length54
Mean length30.497268
Min length21

Characters and Unicode

Total characters22324
Distinct characters242
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique622 ?
Unique (%)85.0%

Sample

1st row서울특별시 중랑구 면목로73길 10 (면목동)
2nd row서울특별시 중랑구 봉우재로 120 (면목동)
3rd row서울특별시 중랑구 면목로 365 (면목동)
4th row서울특별시 중랑구 면목로 366 (면목동)
5th row서울특별시 중랑구 면목로55길 9 (면목동)
ValueCountFrequency (%)
서울특별시 732
 
15.8%
중랑구 732
 
15.8%
면목동 279
 
6.0%
2층 185
 
4.0%
면목로 132
 
2.9%
망우로 122
 
2.6%
망우동 106
 
2.3%
상봉동 101
 
2.2%
동일로 100
 
2.2%
중화동 90
 
1.9%
Other values (671) 2042
44.2%
2024-05-11T06:46:04.192949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3889
 
17.4%
906
 
4.1%
847
 
3.8%
, 831
 
3.7%
750
 
3.4%
746
 
3.3%
739
 
3.3%
( 738
 
3.3%
) 738
 
3.3%
734
 
3.3%
Other values (232) 11406
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12641
56.6%
Space Separator 3889
 
17.4%
Decimal Number 3390
 
15.2%
Other Punctuation 834
 
3.7%
Open Punctuation 738
 
3.3%
Close Punctuation 738
 
3.3%
Uppercase Letter 40
 
0.2%
Dash Punctuation 26
 
0.1%
Math Symbol 23
 
0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
906
 
7.2%
847
 
6.7%
750
 
5.9%
746
 
5.9%
739
 
5.8%
734
 
5.8%
732
 
5.8%
732
 
5.8%
732
 
5.8%
732
 
5.8%
Other values (201) 4991
39.5%
Decimal Number
ValueCountFrequency (%)
2 645
19.0%
3 489
14.4%
1 484
14.3%
4 371
10.9%
0 355
10.5%
5 249
 
7.3%
9 232
 
6.8%
7 196
 
5.8%
8 194
 
5.7%
6 175
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
B 9
22.5%
S 9
22.5%
J 6
15.0%
C 5
12.5%
K 3
 
7.5%
H 2
 
5.0%
A 2
 
5.0%
F 2
 
5.0%
M 1
 
2.5%
Y 1
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 831
99.6%
& 2
 
0.2%
? 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
c 3
60.0%
s 1
 
20.0%
g 1
 
20.0%
Space Separator
ValueCountFrequency (%)
3889
100.0%
Open Punctuation
ValueCountFrequency (%)
( 738
100.0%
Close Punctuation
ValueCountFrequency (%)
) 738
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Math Symbol
ValueCountFrequency (%)
~ 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12641
56.6%
Common 9638
43.2%
Latin 45
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
906
 
7.2%
847
 
6.7%
750
 
5.9%
746
 
5.9%
739
 
5.8%
734
 
5.8%
732
 
5.8%
732
 
5.8%
732
 
5.8%
732
 
5.8%
Other values (201) 4991
39.5%
Common
ValueCountFrequency (%)
3889
40.4%
, 831
 
8.6%
( 738
 
7.7%
) 738
 
7.7%
2 645
 
6.7%
3 489
 
5.1%
1 484
 
5.0%
4 371
 
3.8%
0 355
 
3.7%
5 249
 
2.6%
Other values (8) 849
 
8.8%
Latin
ValueCountFrequency (%)
B 9
20.0%
S 9
20.0%
J 6
13.3%
C 5
11.1%
c 3
 
6.7%
K 3
 
6.7%
H 2
 
4.4%
A 2
 
4.4%
F 2
 
4.4%
s 1
 
2.2%
Other values (3) 3
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12641
56.6%
ASCII 9683
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3889
40.2%
, 831
 
8.6%
( 738
 
7.6%
) 738
 
7.6%
2 645
 
6.7%
3 489
 
5.1%
1 484
 
5.0%
4 371
 
3.8%
0 355
 
3.7%
5 249
 
2.6%
Other values (21) 894
 
9.2%
Hangul
ValueCountFrequency (%)
906
 
7.2%
847
 
6.7%
750
 
5.9%
746
 
5.9%
739
 
5.8%
734
 
5.8%
732
 
5.8%
732
 
5.8%
732
 
5.8%
732
 
5.8%
Other values (201) 4991
39.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct175
Distinct (%)23.9%
Missing107
Missing (%)12.8%
Infinite0
Infinite (%)0.0%
Mean14354.227
Minimum2005
Maximum131882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-05-11T06:46:04.758974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2005
5-th percentile2017
Q12076
median2146.5
Q32214
95-th percentile131830.45
Maximum131882
Range129877
Interquartile range (IQR)138

Descriptive statistics

Standard deviation37915.893
Coefficient of variation (CV)2.6414445
Kurtosis5.7602286
Mean14354.227
Median Absolute Deviation (MAD)70.5
Skewness2.7828837
Sum10507294
Variance1.4376149 × 109
MonotonicityNot monotonic
2024-05-11T06:46:05.286145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2238 29
 
3.5%
2161 20
 
2.4%
2067 17
 
2.0%
2033 15
 
1.8%
2249 15
 
1.8%
2148 15
 
1.8%
2214 15
 
1.8%
2164 15
 
1.8%
2163 14
 
1.7%
2024 14
 
1.7%
Other values (165) 563
67.1%
(Missing) 107
 
12.8%
ValueCountFrequency (%)
2005 8
1.0%
2006 10
1.2%
2007 1
 
0.1%
2009 4
 
0.5%
2010 4
 
0.5%
2013 4
 
0.5%
2014 2
 
0.2%
2015 3
 
0.4%
2017 7
0.8%
2018 3
 
0.4%
ValueCountFrequency (%)
131882 1
 
0.1%
131881 3
0.4%
131880 1
 
0.1%
131878 5
0.6%
131877 4
0.5%
131868 1
 
0.1%
131867 1
 
0.1%
131865 1
 
0.1%
131861 6
0.7%
131860 1
 
0.1%
Distinct815
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2024-05-11T06:46:06.058368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length7.4171633
Min length3

Characters and Unicode

Total characters6223
Distinct characters366
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

Unique797 ?
Unique (%)95.0%

Sample

1st row삼오의원
2nd row사암은성한의원
3rd row재동의원
4th row권소아과의원
5th row면목의원
ValueCountFrequency (%)
내과의원 7
 
0.8%
한솔치과의원 5
 
0.6%
참우리치과의원 4
 
0.5%
고려중앙의원 3
 
0.3%
의원 3
 
0.3%
우리의원 2
 
0.2%
인치과의원 2
 
0.2%
이비인후과의원 2
 
0.2%
정다운내과의원 2
 
0.2%
신경외과의원 2
 
0.2%
Other values (819) 835
96.3%
2024-05-11T06:46:07.405203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
902
 
14.5%
851
 
13.7%
535
 
8.6%
225
 
3.6%
222
 
3.6%
108
 
1.7%
96
 
1.5%
78
 
1.3%
76
 
1.2%
75
 
1.2%
Other values (356) 3055
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6133
98.6%
Space Separator 28
 
0.4%
Decimal Number 22
 
0.4%
Uppercase Letter 16
 
0.3%
Lowercase Letter 7
 
0.1%
Other Punctuation 6
 
0.1%
Open Punctuation 5
 
0.1%
Close Punctuation 5
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
902
 
14.7%
851
 
13.9%
535
 
8.7%
225
 
3.7%
222
 
3.6%
108
 
1.8%
96
 
1.6%
78
 
1.3%
76
 
1.2%
75
 
1.2%
Other values (330) 2965
48.3%
Uppercase Letter
ValueCountFrequency (%)
L 2
12.5%
B 2
12.5%
K 2
12.5%
O 2
12.5%
D 2
12.5%
Y 1
6.2%
S 1
6.2%
I 1
6.2%
J 1
6.2%
C 1
6.2%
Decimal Number
ValueCountFrequency (%)
6 7
31.8%
5 7
31.8%
3 7
31.8%
1 1
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
e 3
42.9%
c 2
28.6%
k 1
 
14.3%
m 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
& 3
50.0%
. 2
33.3%
? 1
 
16.7%
Space Separator
ValueCountFrequency (%)
28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6133
98.6%
Common 67
 
1.1%
Latin 23
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
902
 
14.7%
851
 
13.9%
535
 
8.7%
225
 
3.7%
222
 
3.6%
108
 
1.8%
96
 
1.6%
78
 
1.3%
76
 
1.2%
75
 
1.2%
Other values (330) 2965
48.3%
Latin
ValueCountFrequency (%)
e 3
13.0%
L 2
 
8.7%
B 2
 
8.7%
K 2
 
8.7%
O 2
 
8.7%
D 2
 
8.7%
c 2
 
8.7%
Y 1
 
4.3%
S 1
 
4.3%
k 1
 
4.3%
Other values (5) 5
21.7%
Common
ValueCountFrequency (%)
28
41.8%
6 7
 
10.4%
5 7
 
10.4%
3 7
 
10.4%
( 5
 
7.5%
) 5
 
7.5%
& 3
 
4.5%
. 2
 
3.0%
? 1
 
1.5%
- 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6133
98.6%
ASCII 90
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
902
 
14.7%
851
 
13.9%
535
 
8.7%
225
 
3.7%
222
 
3.6%
108
 
1.8%
96
 
1.6%
78
 
1.3%
76
 
1.2%
75
 
1.2%
Other values (330) 2965
48.3%
ASCII
ValueCountFrequency (%)
28
31.1%
6 7
 
7.8%
5 7
 
7.8%
3 7
 
7.8%
( 5
 
5.6%
) 5
 
5.6%
& 3
 
3.3%
e 3
 
3.3%
L 2
 
2.2%
B 2
 
2.2%
Other values (16) 21
23.3%
Distinct741
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
Minimum2008-12-12 13:18:40
Maximum2024-05-09 23:43:17
2024-05-11T06:46:08.018997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:46:08.803085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
U
516 
I
323 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 516
61.5%
I 323
38.5%

Length

2024-05-11T06:46:09.487590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:46:10.066017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 516
61.5%
i 323
38.5%
Distinct341
Distinct (%)40.6%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T06:46:10.519186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:46:11.085587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
의원
446 
치과의원
222 
한의원
170 
보건소
 
1

Length

Max length4
Median length2
Mean length2.7330155
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
의원 446
53.2%
치과의원 222
26.5%
한의원 170
 
20.3%
보건소 1
 
0.1%

Length

2024-05-11T06:46:11.687248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:46:12.181972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 446
53.2%
치과의원 222
26.5%
한의원 170
 
20.3%
보건소 1
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct371
Distinct (%)49.2%
Missing85
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean207636.05
Minimum206260.39
Maximum209931.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-05-11T06:46:12.706787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206260.39
5-th percentile206689.36
Q1206970.01
median207632.44
Q3208185.59
95-th percentile208782
Maximum209931.17
Range3670.7783
Interquartile range (IQR)1215.5808

Descriptive statistics

Standard deviation707.44203
Coefficient of variation (CV)0.0034071252
Kurtosis-0.70657946
Mean207636.05
Median Absolute Deviation (MAD)638.56198
Skewness0.28422843
Sum1.5655758 × 108
Variance500474.23
MonotonicityNot monotonic
2024-05-11T06:46:13.453271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207605.319631481 11
 
1.3%
207774.836673489 10
 
1.2%
208368.252033443 8
 
1.0%
206689.364439191 8
 
1.0%
207617.179168072 8
 
1.0%
206556.148986381 8
 
1.0%
207708.434592968 8
 
1.0%
208295.099818379 8
 
1.0%
208112.860200669 8
 
1.0%
206777.731391054 7
 
0.8%
Other values (361) 670
79.9%
(Missing) 85
 
10.1%
ValueCountFrequency (%)
206260.394582177 1
 
0.1%
206264.85197789 1
 
0.1%
206328.066671402 5
0.6%
206474.047423329 2
 
0.2%
206526.002200022 3
 
0.4%
206544.310283401 5
0.6%
206556.148986381 8
1.0%
206595.707775401 3
 
0.4%
206604.835791303 1
 
0.1%
206609.39082744 1
 
0.1%
ValueCountFrequency (%)
209931.172836 1
 
0.1%
209521.169706304 1
 
0.1%
209474.519086574 1
 
0.1%
209399.93927584 1
 
0.1%
209370.000863676 2
0.2%
209334.242134459 2
0.2%
209328.918216494 1
 
0.1%
209177.682798072 2
0.2%
209166.977424427 2
0.2%
209083.646196172 3
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct372
Distinct (%)49.3%
Missing85
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean454794.79
Minimum452081.67
Maximum457462.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-05-11T06:46:14.052161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452081.67
5-th percentile453048.69
Q1454029.9
median454794.04
Q3455506.69
95-th percentile456847.23
Maximum457462.77
Range5381.1003
Interquartile range (IQR)1476.7943

Descriptive statistics

Standard deviation1184.4614
Coefficient of variation (CV)0.0026043864
Kurtosis-0.64823754
Mean454794.79
Median Absolute Deviation (MAD)735.05081
Skewness0.12042201
Sum3.4291527 × 108
Variance1402948.8
MonotonicityNot monotonic
2024-05-11T06:46:14.676308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
454476.402983363 11
 
1.3%
453110.937458652 10
 
1.2%
456040.864473831 8
 
1.0%
454613.651437081 8
 
1.0%
454085.603460975 8
 
1.0%
454633.631796621 8
 
1.0%
453190.864383804 8
 
1.0%
456014.999180519 8
 
1.0%
457113.638411288 8
 
1.0%
456837.219624564 7
 
0.8%
Other values (362) 670
79.9%
(Missing) 85
 
10.1%
ValueCountFrequency (%)
452081.666398687 1
0.1%
452208.962087382 1
0.1%
452255.50528181 2
0.2%
452296.055921315 1
0.1%
452454.938575965 2
0.2%
452476.697093769 1
0.1%
452517.896471138 1
0.1%
452545.807965778 2
0.2%
452559.069780901 1
0.1%
452612.838793228 1
0.1%
ValueCountFrequency (%)
457462.766652935 1
 
0.1%
457446.479605 1
 
0.1%
457438.909754748 2
 
0.2%
457219.369142777 1
 
0.1%
457210.837407128 1
 
0.1%
457183.637796144 3
 
0.4%
457174.958326298 3
 
0.4%
457150.626367535 1
 
0.1%
457119.275239846 1
 
0.1%
457113.638411288 8
1.0%
Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
<NA>
332 
의원
284 
치과의원
155 
한의원
67 
보건소
 
1

Length

Max length4
Median length4
Mean length3.2419547
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 332
39.6%
의원 284
33.8%
치과의원 155
18.5%
한의원 67
 
8.0%
보건소 1
 
0.1%

Length

2024-05-11T06:46:15.212380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:46:15.755931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 332
39.6%
의원 284
33.8%
치과의원 155
18.5%
한의원 67
 
8.0%
보건소 1
 
0.1%

의료인수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)1.6%
Missing332
Missing (%)39.6%
Infinite0
Infinite (%)0.0%
Mean1.1794872
Minimum0
Maximum17
Zeros34
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-05-11T06:46:16.309139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.98873763
Coefficient of variation (CV)0.83827756
Kurtosis132.09962
Mean1.1794872
Median Absolute Deviation (MAD)0
Skewness9.0804937
Sum598
Variance0.97760211
MonotonicityNot monotonic
2024-05-11T06:46:17.065669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 397
47.3%
2 56
 
6.7%
0 34
 
4.1%
3 9
 
1.1%
4 7
 
0.8%
6 2
 
0.2%
17 1
 
0.1%
5 1
 
0.1%
(Missing) 332
39.6%
ValueCountFrequency (%)
0 34
 
4.1%
1 397
47.3%
2 56
 
6.7%
3 9
 
1.1%
4 7
 
0.8%
5 1
 
0.1%
6 2
 
0.2%
17 1
 
0.1%
ValueCountFrequency (%)
17 1
 
0.1%
6 2
 
0.2%
5 1
 
0.1%
4 7
 
0.8%
3 9
 
1.1%
2 56
 
6.7%
1 397
47.3%
0 34
 
4.1%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)3.0%
Missing332
Missing (%)39.6%
Infinite0
Infinite (%)0.0%
Mean0.43392505
Minimum0
Maximum16
Zeros466
Zeros (%)55.5%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-05-11T06:46:17.614695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.7
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.8169908
Coefficient of variation (CV)4.1873379
Kurtosis28.482158
Mean0.43392505
Median Absolute Deviation (MAD)0
Skewness5.0711241
Sum220
Variance3.3014555
MonotonicityNot monotonic
2024-05-11T06:46:18.221571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 466
55.5%
1 9
 
1.1%
6 7
 
0.8%
5 5
 
0.6%
10 3
 
0.4%
2 3
 
0.4%
3 3
 
0.4%
7 3
 
0.4%
4 2
 
0.2%
9 1
 
0.1%
Other values (5) 5
 
0.6%
(Missing) 332
39.6%
ValueCountFrequency (%)
0 466
55.5%
1 9
 
1.1%
2 3
 
0.4%
3 3
 
0.4%
4 2
 
0.2%
5 5
 
0.6%
6 7
 
0.8%
7 3
 
0.4%
8 1
 
0.1%
9 1
 
0.1%
ValueCountFrequency (%)
16 1
 
0.1%
14 1
 
0.1%
12 1
 
0.1%
11 1
 
0.1%
10 3
0.4%
9 1
 
0.1%
8 1
 
0.1%
7 3
0.4%
6 7
0.8%
5 5
0.6%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)4.5%
Missing332
Missing (%)39.6%
Infinite0
Infinite (%)0.0%
Mean1.3944773
Minimum0
Maximum49
Zeros458
Zeros (%)54.6%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-05-11T06:46:18.990217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6.7
Maximum49
Range49
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.1388906
Coefficient of variation (CV)4.4022879
Kurtosis33.614819
Mean1.3944773
Median Absolute Deviation (MAD)0
Skewness5.5432964
Sum707
Variance37.685977
MonotonicityNot monotonic
2024-05-11T06:46:19.611568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 458
54.6%
3 7
 
0.8%
2 6
 
0.7%
4 4
 
0.5%
29 4
 
0.5%
49 4
 
0.5%
21 3
 
0.4%
1 3
 
0.4%
5 2
 
0.2%
8 2
 
0.2%
Other values (13) 14
 
1.7%
(Missing) 332
39.6%
ValueCountFrequency (%)
0 458
54.6%
1 3
 
0.4%
2 6
 
0.7%
3 7
 
0.8%
4 4
 
0.5%
5 2
 
0.2%
6 1
 
0.1%
7 1
 
0.1%
8 2
 
0.2%
9 1
 
0.1%
ValueCountFrequency (%)
49 4
0.5%
34 1
 
0.1%
29 4
0.5%
28 1
 
0.1%
24 2
0.2%
22 1
 
0.1%
21 3
0.4%
20 1
 
0.1%
18 1
 
0.1%
17 1
 
0.1%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct379
Distinct (%)74.8%
Missing332
Missing (%)39.6%
Infinite0
Infinite (%)0.0%
Mean137.22846
Minimum0
Maximum1362.3
Zeros83
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-05-11T06:46:20.320406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165.045
median108.8
Q3169.42
95-th percentile397.629
Maximum1362.3
Range1362.3
Interquartile range (IQR)104.375

Descriptive statistics

Standard deviation143.01555
Coefficient of variation (CV)1.0421712
Kurtosis16.66594
Mean137.22846
Median Absolute Deviation (MAD)50.9
Skewness3.1891801
Sum69574.83
Variance20453.449
MonotonicityNot monotonic
2024-05-11T06:46:21.007915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 83
 
9.9%
140.0 4
 
0.5%
233.0 4
 
0.5%
361.12 3
 
0.4%
180.0 3
 
0.4%
107.0 3
 
0.4%
206.4 3
 
0.4%
73.5 2
 
0.2%
86.11 2
 
0.2%
402.66 2
 
0.2%
Other values (369) 398
47.4%
(Missing) 332
39.6%
ValueCountFrequency (%)
0.0 83
9.9%
1.0 1
 
0.1%
10.0 1
 
0.1%
16.8 1
 
0.1%
19.24 1
 
0.1%
29.0 1
 
0.1%
36.1 1
 
0.1%
36.7 1
 
0.1%
39.66 1
 
0.1%
42.24 1
 
0.1%
ValueCountFrequency (%)
1362.3 1
0.1%
895.96 2
0.2%
888.88 1
0.1%
883.19 1
0.1%
645.25 2
0.2%
603.18 1
0.1%
600.2 1
0.1%
559.5 2
0.2%
554.88 1
0.1%
541.79 1
0.1%

진료과목내용
Text

MISSING 

Distinct203
Distinct (%)40.0%
Missing332
Missing (%)39.6%
Memory size6.7 KiB
2024-05-11T06:46:21.650180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length51
Mean length12.672584
Min length3

Characters and Unicode

Total characters6425
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

Unique163 ?
Unique (%)32.1%

Sample

1st row101
2nd row101 122 111
3rd row111
4th row101
5th row401
ValueCountFrequency (%)
101 208
 
12.0%
401 125
 
7.2%
111 123
 
7.1%
114 113
 
6.5%
113 83
 
4.8%
105 65
 
3.8%
115 61
 
3.5%
301 61
 
3.5%
104 45
 
2.6%
122 42
 
2.4%
Other values (43) 807
46.6%
2024-05-11T06:46:22.779937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2051
31.9%
1226
19.1%
0 1207
18.8%
4 627
 
9.8%
3 502
 
7.8%
2 252
 
3.9%
5 196
 
3.1%
6 113
 
1.8%
8 96
 
1.5%
9 80
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5199
80.9%
Space Separator 1226
 
19.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2051
39.4%
0 1207
23.2%
4 627
 
12.1%
3 502
 
9.7%
2 252
 
4.8%
5 196
 
3.8%
6 113
 
2.2%
8 96
 
1.8%
9 80
 
1.5%
7 75
 
1.4%
Space Separator
ValueCountFrequency (%)
1226
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6425
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2051
31.9%
1226
19.1%
0 1207
18.8%
4 627
 
9.8%
3 502
 
7.8%
2 252
 
3.9%
5 196
 
3.1%
6 113
 
1.8%
8 96
 
1.5%
9 80
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6425
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2051
31.9%
1226
19.1%
0 1207
18.8%
4 627
 
9.8%
3 502
 
7.8%
2 252
 
3.9%
5 196
 
3.1%
6 113
 
1.8%
8 96
 
1.5%
9 80
 
1.2%

진료과목내용명
Text

MISSING 

Distinct158
Distinct (%)31.2%
Missing332
Missing (%)39.6%
Memory size6.7 KiB
2024-05-11T06:46:23.431876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length95
Median length74
Mean length19.7357
Min length2

Characters and Unicode

Total characters10006
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

Unique118 ?
Unique (%)23.3%

Sample

1st row내과
2nd row내과, 소아청소년과, 가정의학과
3rd row소아청소년과
4th row내과
5th row치과
ValueCountFrequency (%)
내과 208
 
12.0%
치과 125
 
7.2%
소아청소년과 123
 
7.1%
피부과 113
 
6.5%
이비인후과 83
 
4.8%
정형외과 65
 
3.8%
비뇨의학과 61
 
3.5%
한방내과 61
 
3.5%
외과 45
 
2.6%
가정의학과 42
 
2.4%
Other values (34) 807
46.6%
2024-05-11T06:46:24.647131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1820
18.2%
, 1226
 
12.3%
1226
 
12.3%
345
 
3.4%
316
 
3.2%
300
 
3.0%
298
 
3.0%
289
 
2.9%
281
 
2.8%
261
 
2.6%
Other values (57) 3644
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7476
74.7%
Other Punctuation 1304
 
13.0%
Space Separator 1226
 
12.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1820
24.3%
345
 
4.6%
316
 
4.2%
300
 
4.0%
298
 
4.0%
289
 
3.9%
281
 
3.8%
261
 
3.5%
222
 
3.0%
196
 
2.6%
Other values (54) 3148
42.1%
Other Punctuation
ValueCountFrequency (%)
, 1226
94.0%
? 78
 
6.0%
Space Separator
ValueCountFrequency (%)
1226
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7476
74.7%
Common 2530
 
25.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1820
24.3%
345
 
4.6%
316
 
4.2%
300
 
4.0%
298
 
4.0%
289
 
3.9%
281
 
3.8%
261
 
3.5%
222
 
3.0%
196
 
2.6%
Other values (54) 3148
42.1%
Common
ValueCountFrequency (%)
, 1226
48.5%
1226
48.5%
? 78
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7476
74.7%
ASCII 2530
 
25.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1820
24.3%
345
 
4.6%
316
 
4.2%
300
 
4.0%
298
 
4.0%
289
 
3.9%
281
 
3.8%
261
 
3.5%
222
 
3.0%
196
 
2.6%
Other values (54) 3148
42.1%
ASCII
ValueCountFrequency (%)
, 1226
48.5%
1226
48.5%
? 78
 
3.1%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

구급차특수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
0
507 
<NA>
332 

Length

Max length4
Median length1
Mean length2.1871275
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 507
60.4%
<NA> 332
39.6%

Length

2024-05-11T06:46:25.114821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:46:25.466280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 507
60.4%
na 332
39.6%

구급차일반
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
0
507 
<NA>
332 

Length

Max length4
Median length1
Mean length2.1871275
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 507
60.4%
<NA> 332
39.6%

Length

2024-05-11T06:46:25.879330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:46:26.235306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 507
60.4%
na 332
39.6%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

허가병상수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
0
507 
<NA>
332 

Length

Max length4
Median length1
Mean length2.1871275
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 507
60.4%
<NA> 332
39.6%

Length

2024-05-11T06:46:26.635217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:46:26.982981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 507
60.4%
na 332
39.6%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03060000PHMA11969306003404110000119690819<NA>3폐업3폐업20080919<NA><NA><NA>02-434-3035<NA>131200서울특별시 중랑구 면목3.8동 458-28<NA><NA>삼오의원2012-05-16 10:25:38I2018-08-31 23:59:59.0의원<NA><NA>의원10052.05101내과<NA><NA><NA>00<NA><NA>0<NA>
13060000PHMA1196930600340411000021969-11-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-434-4325<NA><NA><NA>서울특별시 중랑구 면목로73길 10 (면목동)2146사암은성한의원2024-03-08 02:43:22U2023-12-02 23:00:00.0한의원207592.392902454076.735692<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23060000PHMA11970306003404110000119700115<NA>3폐업3폐업20151201<NA><NA><NA>02-433-1909<NA>131819서울특별시 중랑구 면목2동 131번지 1호서울특별시 중랑구 봉우재로 120 (면목동)2144재동의원2015-12-01 14:23:47I2018-08-31 23:59:59.0의원207551.858554454464.431664의원20059.28101 122 111내과, 소아청소년과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
33060000PHMA11970306003404110000219701007<NA>3폐업3폐업20050502<NA><NA><NA><NA><NA>131831서울특별시 중랑구 면목3.8동 496번지 3호<NA><NA>권소아과의원2013-02-28 11:00:54I2018-08-31 23:59:59.0의원207722.339253453189.005482의원1001.0111소아청소년과<NA><NA><NA>00<NA><NA>0<NA>
43060000PHMA11971306003404110000119710118<NA>3폐업3폐업20161011<NA><NA><NA>02-434-2732<NA>131200서울특별시 중랑구 면목본동 502-7서울특별시 중랑구 면목로 365 (면목동)2220면목의원2016-10-12 09:15:56I2018-08-31 23:59:59.0의원207719.355685453613.027419의원1000.0101내과<NA><NA><NA>00<NA><NA>0<NA>
53060000PHMA11971306003404110000219710614<NA>3폐업3폐업20070529<NA><NA><NA><NA><NA>131120서울특별시 중랑구 중화2동 302-76<NA><NA>명치과의원2008-12-12 13:19:07I2018-08-31 23:59:59.0치과의원<NA><NA>치과의원0000.0401치과<NA><NA><NA>00<NA><NA>0<NA>
63060000PHMA11971306003404110000319711030<NA>3폐업3폐업20140403<NA><NA><NA>02-434-1700<NA>131814서울특별시 중랑구 면목본동 413번지 1호서울특별시 중랑구 면목로 366 (면목동)131200민도치과의원2014-04-03 14:10:09I2018-08-31 23:59:59.0치과의원207751.205623453584.067927치과의원1000.0401치과<NA><NA><NA>00<NA><NA>0<NA>
73060000PHMA11972306003404110000119720614<NA>1영업/정상13영업중<NA><NA><NA><NA>02-434-0116<NA>131831서울특별시 중랑구 면목3.8동 499번지 3호서울특별시 중랑구 면목로55길 9 (면목동)2221공한의원2020-11-03 17:56:20U2020-11-05 02:40:00.0한의원207685.791713453536.256721한의원1000.0301한방내과<NA><NA><NA>00<NA><NA>0<NA>
83060000PHMA11973306003404110000119730120<NA>3폐업3폐업20171023<NA><NA><NA>02-435-3030<NA>131120서울특별시 중랑구 중화2동 208-32서울특별시 중랑구 망우로 217 (중화동)2116이이비인후과의원2017-10-23 17:30:51I2018-08-31 23:59:59.0의원206717.963141454676.520171의원1000.0113이비인후과<NA><NA><NA>00<NA><NA>0<NA>
93060000PHMA11973306003404110000219731211<NA>1영업/정상13영업중<NA><NA><NA><NA>02-434-2414<NA>131831서울특별시 중랑구 면목3.8동 497번지 24호서울특별시 중랑구 면목로 335 (면목동)2228로덴치과의원2019-06-14 02:43:13U2019-06-16 02:40:00.0치과의원207748.588879453293.318531치과의원200100.0411 408 407 406 405 403 402구강악안면외과, 치과보철과, 소아치과, 치주과, 치과보존과, 구강내과, 예방치과<NA><NA><NA>00<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
8293060000PHMA1202430600340411000042024-01-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-454-9998<NA><NA>서울특별시 중랑구 망우동 584 신내역 프라디움 더 테라스서울특별시 중랑구 용마산로 670, B동 2층 206호 (망우동, 신내역 프라디움 더 테라스)2057신내경희한의원2024-03-06 09:30:29U2023-12-03 00:08:00.0한의원208947.072331456501.73508<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8303060000PHMA1202430600340411000052024-02-07<NA>1영업/정상13영업중<NA><NA><NA><NA>02-496-0779<NA><NA><NA>서울특별시 중랑구 양원역로10길 17, B동 5층 501~505호 제이메디컬 (망우동)2057연세숲내과의원2024-03-12 14:23:03U2023-12-02 23:04:00.0의원209370.000864456057.972668<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8313060000PHMA1202430600340411000062024-02-15<NA>1영업/정상13영업중<NA><NA><NA><NA>02-491-7588<NA><NA>서울특별시 중랑구 망우동 461-1 천우빌딩 203호서울특별시 중랑구 봉우재로 239, 천우빌딩 2층 203호 (망우동)2172바른재활의학과의원2024-03-15 06:13:17U2023-12-02 23:07:00.0의원208707.456894454828.733327<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8323060000PHMA1202430600340411000072024-02-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-437-0808<NA><NA>서울특별시 중랑구 면목동 359-2 2,5,6층서울특별시 중랑구 면목로 398, 2,5,6층 (면목동)2197면목연세석내과의원2024-03-18 09:25:36U2023-12-02 22:00:00.0의원207709.270931453910.46774<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8333060000PHMA1202430600340411000082024-02-16<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6958-7503<NA><NA><NA>서울특별시 중랑구 용마산로 670, A동 2층 235,236호 (망우동, 신내역 프라디움 더 테라스)2057상쾌한이비인후과의원2024-03-29 01:43:16U2023-12-02 21:01:00.0의원<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8343060000PHMA1202430600340411000092024-02-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2138-2855<NA><NA>서울특별시 중랑구 망우동 584 신내역 프라디움 더 테라스 B동 105호서울특별시 중랑구 용마산로 670, B동 1층 105, 106호 (망우동, 신내역 프라디움 더 테라스)2057바른DK치과의원2024-03-05 16:40:00I2023-12-03 00:07:00.0치과의원208947.072331456501.73508<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8353060000PHMA1202430600340411000102024-03-06<NA>1영업/정상13영업중<NA><NA><NA><NA>0222098875<NA><NA>서울특별시 중랑구 상봉동 130-99 2층서울특별시 중랑구 망우로 198, 2층 (상봉동)2120중랑생생한의원2024-03-28 20:43:15U2023-12-02 21:00:00.0한의원206544.310283454555.027249<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8363060000PHMA1202430600340411000112024-03-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-433-3119<NA><NA>서울특별시 중랑구 망우동 584 신내역 프라디움 더 테라스 B동 213~218호서울특별시 중랑구 용마산로 670, B동 2층 213~218호 (망우동, 신내역 프라디움 더 테라스)2057중랑365의원2024-03-18 16:53:48I2023-12-02 22:00:00.0의원208947.072331456501.73508<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8373060000PHMA1202430600340411000122024-03-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6954-1076<NA><NA>서울특별시 중랑구 묵동 239-80 하이텍빌딩 1,2층서울특별시 중랑구 동일로 893, 1,2층 (묵동, 하이텍빌딩)2006청추나한의원2024-05-02 14:24:30U2023-12-05 00:04:00.0한의원206772.27282456425.823634<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8383060000PHMA1202430600340411000132024-04-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 상봉동 100-17 5층서울특별시 중랑구 망우로 291, 상봉빌딩 5층 (상봉동)2098튼튼이치과의원2024-05-01 09:04:35I2023-12-05 00:03:00.0치과의원207418.221669454906.59257<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>