Overview

Dataset statistics

Number of variables41
Number of observations6728
Missing cells99737
Missing cells (%)36.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 MiB
Average record size in memory349.0 B

Variable types

Categorical10
Text8
DateTime7
Numeric8
Unsupported8

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
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-16236/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (53.4%)Imbalance
영업상태명 is highly imbalanced (53.4%)Imbalance
상세영업상태명 is highly imbalanced (58.0%)Imbalance
인허가취소일자 has 6724 (99.9%) missing valuesMissing
폐업일자 has 2897 (43.1%) missing valuesMissing
휴업시작일자 has 6674 (99.2%) missing valuesMissing
휴업종료일자 has 6673 (99.2%) missing valuesMissing
재개업일자 has 6728 (100.0%) missing valuesMissing
전화번호 has 1069 (15.9%) missing valuesMissing
소재지면적 has 6728 (100.0%) missing valuesMissing
소재지우편번호 has 3691 (54.9%) missing valuesMissing
지번주소 has 781 (11.6%) missing valuesMissing
도로명주소 has 638 (9.5%) missing valuesMissing
도로명우편번호 has 1628 (24.2%) missing valuesMissing
좌표정보(X) has 600 (8.9%) missing valuesMissing
좌표정보(Y) has 600 (8.9%) missing valuesMissing
의료인수 has 2323 (34.5%) missing valuesMissing
입원실수 has 2323 (34.5%) missing valuesMissing
병상수 has 2323 (34.5%) missing valuesMissing
총면적 has 2323 (34.5%) missing valuesMissing
진료과목내용 has 2323 (34.5%) missing valuesMissing
진료과목내용명 has 2323 (34.5%) missing valuesMissing
지정취소일자 has 6728 (100.0%) missing valuesMissing
완화의료지정형태 has 6728 (100.0%) missing valuesMissing
완화의료담당부서명 has 6728 (100.0%) missing valuesMissing
총인원 has 6728 (100.0%) missing valuesMissing
구조사수 has 6728 (100.0%) missing valuesMissing
최초지정일자 has 6728 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
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 132 (2.0%) zerosZeros
입원실수 has 4150 (61.7%) zerosZeros
병상수 has 4145 (61.6%) zerosZeros
총면적 has 763 (11.3%) zerosZeros

Reproduction

Analysis started2024-04-17 23:22:46.508119
Analysis finished2024-04-17 23:22:48.404435
Duration1.9 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size52.7 KiB
3220000
6728 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 6728
100.0%

Length

2024-04-18T08:22:48.467397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:22:48.569848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 6728
100.0%

관리번호
Text

UNIQUE 

Distinct6728
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size52.7 KiB
2024-04-18T08:22:48.737640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters168200
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

Unique6728 ?
Unique (%)100.0%

Sample

1st rowPHMA109743220033041100001
2nd rowPHMA119003220033041100001
3rd rowPHMA119733220033041100001
4th rowPHMA119743220033041100001
5th rowPHMA119743220033041101178
ValueCountFrequency (%)
phma109743220033041100001 1
 
< 0.1%
phma120133220033041100200 1
 
< 0.1%
phma120133220033041100056 1
 
< 0.1%
phma120133220033041100055 1
 
< 0.1%
phma120133220033041100054 1
 
< 0.1%
phma120133220033041100053 1
 
< 0.1%
phma120133220033041100052 1
 
< 0.1%
phma120133220033041100051 1
 
< 0.1%
phma120133220033041100050 1
 
< 0.1%
phma120133220033041100049 1
 
< 0.1%
Other values (6718) 6718
99.9%
2024-04-18T08:22:49.047209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 43107
25.6%
1 29675
17.6%
2 22852
13.6%
3 22541
13.4%
4 8927
 
5.3%
P 6728
 
4.0%
H 6728
 
4.0%
M 6728
 
4.0%
A 6728
 
4.0%
9 4487
 
2.7%
Other values (4) 9699
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 141288
84.0%
Uppercase Letter 26912
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 43107
30.5%
1 29675
21.0%
2 22852
16.2%
3 22541
16.0%
4 8927
 
6.3%
9 4487
 
3.2%
8 2980
 
2.1%
7 2464
 
1.7%
5 2153
 
1.5%
6 2102
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
P 6728
25.0%
H 6728
25.0%
M 6728
25.0%
A 6728
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 141288
84.0%
Latin 26912
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 43107
30.5%
1 29675
21.0%
2 22852
16.2%
3 22541
16.0%
4 8927
 
6.3%
9 4487
 
3.2%
8 2980
 
2.1%
7 2464
 
1.7%
5 2153
 
1.5%
6 2102
 
1.5%
Latin
ValueCountFrequency (%)
P 6728
25.0%
H 6728
25.0%
M 6728
25.0%
A 6728
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 168200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 43107
25.6%
1 29675
17.6%
2 22852
13.6%
3 22541
13.4%
4 8927
 
5.3%
P 6728
 
4.0%
H 6728
 
4.0%
M 6728
 
4.0%
A 6728
 
4.0%
9 4487
 
2.7%
Other values (4) 9699
 
5.8%
Distinct4462
Distinct (%)66.3%
Missing0
Missing (%)0.0%
Memory size52.7 KiB
Minimum1900-01-01 00:00:00
Maximum2024-04-16 00:00:00
2024-04-18T08:22:49.189133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T08:22:49.352860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct3
Distinct (%)75.0%
Missing6724
Missing (%)99.9%
Memory size52.7 KiB
Minimum2022-05-31 00:00:00
Maximum2023-03-02 00:00:00
2024-04-18T08:22:49.463430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T08:22:49.553098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size52.7 KiB
3
3818 
1
2823 
5
 
69
4
 
14
2
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 3818
56.7%
1 2823
42.0%
5 69
 
1.0%
4 14
 
0.2%
2 4
 
0.1%

Length

2024-04-18T08:22:49.664824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:22:49.770087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 3818
56.7%
1 2823
42.0%
5 69
 
1.0%
4 14
 
0.2%
2 4
 
0.1%

영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size52.7 KiB
폐업
3818 
영업/정상
2823 
제외/삭제/전출
 
69
취소/말소/만료/정지/중지
 
14
휴업
 
4

Length

Max length14
Median length2
Mean length3.3452735
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 3818
56.7%
영업/정상 2823
42.0%
제외/삭제/전출 69
 
1.0%
취소/말소/만료/정지/중지 14
 
0.2%
휴업 4
 
0.1%

Length

2024-04-18T08:22:49.885317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:22:49.991911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 3818
56.7%
영업/정상 2823
42.0%
제외/삭제/전출 69
 
1.0%
취소/말소/만료/정지/중지 14
 
0.2%
휴업 4
 
0.1%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4120095
Minimum2
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size59.3 KiB
2024-04-18T08:22:50.088641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median3
Q313
95-th percentile13
Maximum99
Range97
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.5032986
Coefficient of variation (CV)0.74248402
Kurtosis43.542202
Mean7.4120095
Median Absolute Deviation (MAD)0
Skewness2.9703603
Sum49868
Variance30.286295
MonotonicityNot monotonic
2024-04-18T08:22:50.188940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 3818
56.7%
13 2823
42.0%
15 65
 
1.0%
24 14
 
0.2%
2 4
 
0.1%
99 4
 
0.1%
ValueCountFrequency (%)
2 4
 
0.1%
3 3818
56.7%
13 2823
42.0%
15 65
 
1.0%
24 14
 
0.2%
99 4
 
0.1%
ValueCountFrequency (%)
99 4
 
0.1%
24 14
 
0.2%
15 65
 
1.0%
13 2823
42.0%
3 3818
56.7%
2 4
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size52.7 KiB
폐업
3818 
영업중
2823 
전출
 
65
직권폐업
 
14
휴업
 
4

Length

Max length4
Median length2
Mean length2.4237515
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 3818
56.7%
영업중 2823
42.0%
전출 65
 
1.0%
직권폐업 14
 
0.2%
휴업 4
 
0.1%
삭제 4
 
0.1%

Length

2024-04-18T08:22:50.313076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:22:50.422175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 3818
56.7%
영업중 2823
42.0%
전출 65
 
1.0%
직권폐업 14
 
0.2%
휴업 4
 
0.1%
삭제 4
 
0.1%

폐업일자
Date

MISSING 

Distinct2811
Distinct (%)73.4%
Missing2897
Missing (%)43.1%
Memory size52.7 KiB
Minimum1989-04-29 00:00:00
Maximum2024-04-09 00:00:00
2024-04-18T08:22:50.543210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T08:22:50.684874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct54
Distinct (%)100.0%
Missing6674
Missing (%)99.2%
Memory size52.7 KiB
Minimum2009-08-01 00:00:00
Maximum2024-04-04 00:00:00
2024-04-18T08:22:50.820302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T08:22:50.975309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업종료일자
Date

MISSING 

Distinct55
Distinct (%)100.0%
Missing6673
Missing (%)99.2%
Memory size52.7 KiB
Minimum2009-09-30 00:00:00
Maximum2028-07-19 00:00:00
2024-04-18T08:22:51.090753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T08:22:51.223310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6728
Missing (%)100.0%
Memory size59.3 KiB

전화번호
Text

MISSING 

Distinct5174
Distinct (%)91.4%
Missing1069
Missing (%)15.9%
Memory size52.7 KiB
2024-04-18T08:22:51.503893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length9.5776639
Min length7

Characters and Unicode

Total characters54200
Distinct characters17
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

Unique4784 ?
Unique (%)84.5%

Sample

1st row3462-3181
2nd row3423-7200
3rd row543-4343
4th row3460-2207
5th row547-5466
ValueCountFrequency (%)
02-000-0000 14
 
0.2%
511-2655 5
 
0.1%
541-0770 5
 
0.1%
547-0030 4
 
0.1%
541-2807 4
 
0.1%
1588-5153 4
 
0.1%
554-4543 4
 
0.1%
1855-0858 4
 
0.1%
508-7528 4
 
0.1%
1588-6508 4
 
0.1%
Other values (5169) 5614
99.1%
2024-04-18T08:22:51.864946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 8615
15.9%
- 7661
14.1%
0 6848
12.6%
2 6062
11.2%
4 4541
8.4%
1 4167
7.7%
7 3860
7.1%
8 3633
6.7%
3 3588
6.6%
6 3047
 
5.6%
Other values (7) 2178
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 46463
85.7%
Dash Punctuation 7661
 
14.1%
Other Punctuation 37
 
0.1%
Math Symbol 30
 
0.1%
Space Separator 7
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 8615
18.5%
0 6848
14.7%
2 6062
13.0%
4 4541
9.8%
1 4167
9.0%
7 3860
8.3%
8 3633
7.8%
3 3588
7.7%
6 3047
 
6.6%
9 2102
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 22
59.5%
. 12
32.4%
/ 3
 
8.1%
Dash Punctuation
ValueCountFrequency (%)
- 7661
100.0%
Math Symbol
ValueCountFrequency (%)
~ 30
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 54200
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 8615
15.9%
- 7661
14.1%
0 6848
12.6%
2 6062
11.2%
4 4541
8.4%
1 4167
7.7%
7 3860
7.1%
8 3633
6.7%
3 3588
6.6%
6 3047
 
5.6%
Other values (7) 2178
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 54200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 8615
15.9%
- 7661
14.1%
0 6848
12.6%
2 6062
11.2%
4 4541
8.4%
1 4167
7.7%
7 3860
7.1%
8 3633
6.7%
3 3588
6.6%
6 3047
 
5.6%
Other values (7) 2178
 
4.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6728
Missing (%)100.0%
Memory size59.3 KiB

소재지우편번호
Text

MISSING 

Distinct294
Distinct (%)9.7%
Missing3691
Missing (%)54.9%
Memory size52.7 KiB
2024-04-18T08:22:52.220465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0398419
Min length6

Characters and Unicode

Total characters18343
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

Unique87 ?
Unique (%)2.9%

Sample

1st row135860
2nd row135864
3rd row135827
4th row135995
5th row135272
ValueCountFrequency (%)
135120 168
 
5.5%
135892 146
 
4.8%
135081 91
 
3.0%
135954 89
 
2.9%
135897 79
 
2.6%
135891 79
 
2.6%
135894 69
 
2.3%
135811 59
 
1.9%
135011 50
 
1.6%
135893 47
 
1.5%
Other values (284) 2160
71.1%
2024-04-18T08:22:52.653018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 4358
23.8%
5 3632
19.8%
3 3582
19.5%
8 1763
9.6%
9 1718
 
9.4%
2 999
 
5.4%
0 932
 
5.1%
4 561
 
3.1%
7 400
 
2.2%
6 277
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18222
99.3%
Dash Punctuation 121
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4358
23.9%
5 3632
19.9%
3 3582
19.7%
8 1763
9.7%
9 1718
 
9.4%
2 999
 
5.5%
0 932
 
5.1%
4 561
 
3.1%
7 400
 
2.2%
6 277
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 121
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18343
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4358
23.8%
5 3632
19.8%
3 3582
19.5%
8 1763
9.6%
9 1718
 
9.4%
2 999
 
5.4%
0 932
 
5.1%
4 561
 
3.1%
7 400
 
2.2%
6 277
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18343
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4358
23.8%
5 3632
19.8%
3 3582
19.5%
8 1763
9.6%
9 1718
 
9.4%
2 999
 
5.4%
0 932
 
5.1%
4 561
 
3.1%
7 400
 
2.2%
6 277
 
1.5%

지번주소
Text

MISSING 

Distinct5119
Distinct (%)86.1%
Missing781
Missing (%)11.6%
Memory size52.7 KiB
2024-04-18T08:22:52.952338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length52
Mean length26.075668
Min length6

Characters and Unicode

Total characters155072
Distinct characters462
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4638 ?
Unique (%)78.0%

Sample

1st row서울특별시 강남구 도곡1동 956번지 7호
2nd row서울특별시 강남구 삼성동 8번지
3rd row서울특별시 강남구 논현1동 199번지 4호
4th row서울특별시 강남구 논현2동 74번지 24호
5th row도곡동 467-19 (406호)
ValueCountFrequency (%)
서울특별시 5310
 
16.0%
강남구 5306
 
16.0%
신사동 1518
 
4.6%
역삼동 827
 
2.5%
논현동 735
 
2.2%
2층 567
 
1.7%
청담동 545
 
1.6%
3층 542
 
1.6%
4층 399
 
1.2%
대치동 394
 
1.2%
Other values (3735) 16946
51.2%
2024-04-18T08:22:53.416248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27341
 
17.6%
1 6380
 
4.1%
6178
 
4.0%
5483
 
3.5%
5412
 
3.5%
5403
 
3.5%
5399
 
3.5%
5396
 
3.5%
5327
 
3.4%
5315
 
3.4%
Other values (452) 77438
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 89861
57.9%
Decimal Number 32620
 
21.0%
Space Separator 27341
 
17.6%
Dash Punctuation 1918
 
1.2%
Uppercase Letter 1106
 
0.7%
Other Punctuation 830
 
0.5%
Open Punctuation 542
 
0.3%
Close Punctuation 540
 
0.3%
Lowercase Letter 195
 
0.1%
Math Symbol 117
 
0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6178
 
6.9%
5483
 
6.1%
5412
 
6.0%
5403
 
6.0%
5399
 
6.0%
5396
 
6.0%
5327
 
5.9%
5315
 
5.9%
5310
 
5.9%
4007
 
4.5%
Other values (387) 36631
40.8%
Uppercase Letter
ValueCountFrequency (%)
S 140
12.7%
B 113
 
10.2%
A 91
 
8.2%
E 86
 
7.8%
T 72
 
6.5%
K 70
 
6.3%
R 69
 
6.2%
O 68
 
6.1%
W 60
 
5.4%
I 50
 
4.5%
Other values (15) 287
25.9%
Lowercase Letter
ValueCountFrequency (%)
e 35
17.9%
n 23
11.8%
u 23
11.8%
v 22
11.3%
s 14
 
7.2%
b 12
 
6.2%
r 12
 
6.2%
a 12
 
6.2%
t 12
 
6.2%
h 10
 
5.1%
Other values (7) 20
10.3%
Decimal Number
ValueCountFrequency (%)
1 6380
19.6%
2 4843
14.8%
5 3283
10.1%
3 3121
9.6%
6 2986
9.2%
4 2978
9.1%
0 2757
8.5%
8 2424
 
7.4%
7 2021
 
6.2%
9 1827
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 775
93.4%
. 26
 
3.1%
& 19
 
2.3%
/ 9
 
1.1%
@ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 110
94.0%
+ 7
 
6.0%
Space Separator
ValueCountFrequency (%)
27341
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1918
100.0%
Open Punctuation
ValueCountFrequency (%)
( 542
100.0%
Close Punctuation
ValueCountFrequency (%)
) 540
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 89861
57.9%
Common 63909
41.2%
Latin 1302
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6178
 
6.9%
5483
 
6.1%
5412
 
6.0%
5403
 
6.0%
5399
 
6.0%
5396
 
6.0%
5327
 
5.9%
5315
 
5.9%
5310
 
5.9%
4007
 
4.5%
Other values (387) 36631
40.8%
Latin
ValueCountFrequency (%)
S 140
 
10.8%
B 113
 
8.7%
A 91
 
7.0%
E 86
 
6.6%
T 72
 
5.5%
K 70
 
5.4%
R 69
 
5.3%
O 68
 
5.2%
W 60
 
4.6%
I 50
 
3.8%
Other values (33) 483
37.1%
Common
ValueCountFrequency (%)
27341
42.8%
1 6380
 
10.0%
2 4843
 
7.6%
5 3283
 
5.1%
3 3121
 
4.9%
6 2986
 
4.7%
4 2978
 
4.7%
0 2757
 
4.3%
8 2424
 
3.8%
7 2021
 
3.2%
Other values (12) 5775
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 89861
57.9%
ASCII 65210
42.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27341
41.9%
1 6380
 
9.8%
2 4843
 
7.4%
5 3283
 
5.0%
3 3121
 
4.8%
6 2986
 
4.6%
4 2978
 
4.6%
0 2757
 
4.2%
8 2424
 
3.7%
7 2021
 
3.1%
Other values (54) 7076
 
10.9%
Hangul
ValueCountFrequency (%)
6178
 
6.9%
5483
 
6.1%
5412
 
6.0%
5403
 
6.0%
5399
 
6.0%
5396
 
6.0%
5327
 
5.9%
5315
 
5.9%
5310
 
5.9%
4007
 
4.5%
Other values (387) 36631
40.8%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

MISSING 

Distinct5532
Distinct (%)90.8%
Missing638
Missing (%)9.5%
Memory size52.7 KiB
2024-04-18T08:22:53.757896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length58
Mean length33.112808
Min length15

Characters and Unicode

Total characters201657
Distinct characters470
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5150 ?
Unique (%)84.6%

Sample

1st row서울특별시 강남구 선릉로 668 (삼성동)
2nd row서울특별시 강남구 강남대로 482 (논현동)
3rd row서울특별시 강남구 논현로 730 (논현동)
4th row서울특별시 선릉로63길 13
5th row서울특별시 강남구 삼성로 408 (대치동)
ValueCountFrequency (%)
서울특별시 6090
 
15.3%
강남구 6087
 
15.3%
신사동 1231
 
3.1%
역삼동 1002
 
2.5%
논현동 988
 
2.5%
2층 786
 
2.0%
3층 709
 
1.8%
강남대로 629
 
1.6%
논현로 548
 
1.4%
청담동 507
 
1.3%
Other values (3504) 21144
53.2%
2024-04-18T08:22:54.205526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33654
 
16.7%
, 7515
 
3.7%
7235
 
3.6%
7033
 
3.5%
6782
 
3.4%
6764
 
3.4%
6268
 
3.1%
6206
 
3.1%
( 6190
 
3.1%
) 6190
 
3.1%
Other values (460) 107820
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 113808
56.4%
Space Separator 33654
 
16.7%
Decimal Number 32073
 
15.9%
Other Punctuation 7584
 
3.8%
Open Punctuation 6190
 
3.1%
Close Punctuation 6190
 
3.1%
Uppercase Letter 1376
 
0.7%
Dash Punctuation 307
 
0.2%
Lowercase Letter 276
 
0.1%
Math Symbol 198
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7235
 
6.4%
7033
 
6.2%
6782
 
6.0%
6764
 
5.9%
6268
 
5.5%
6206
 
5.5%
6179
 
5.4%
6109
 
5.4%
6096
 
5.4%
6090
 
5.4%
Other values (391) 49046
43.1%
Uppercase Letter
ValueCountFrequency (%)
S 164
11.9%
B 145
10.5%
E 112
 
8.1%
A 106
 
7.7%
O 98
 
7.1%
T 97
 
7.0%
R 90
 
6.5%
W 81
 
5.9%
K 75
 
5.5%
I 70
 
5.1%
Other values (15) 338
24.6%
Lowercase Letter
ValueCountFrequency (%)
e 45
16.3%
n 35
12.7%
u 31
11.2%
v 26
9.4%
s 19
6.9%
a 19
6.9%
r 18
 
6.5%
t 16
 
5.8%
h 14
 
5.1%
i 13
 
4.7%
Other values (11) 40
14.5%
Decimal Number
ValueCountFrequency (%)
1 6041
18.8%
2 5178
16.1%
3 4195
13.1%
0 3364
10.5%
4 3305
10.3%
5 2847
8.9%
6 2286
 
7.1%
8 2015
 
6.3%
7 1755
 
5.5%
9 1087
 
3.4%
Other Punctuation
ValueCountFrequency (%)
, 7515
99.1%
. 38
 
0.5%
& 21
 
0.3%
/ 7
 
0.1%
: 2
 
< 0.1%
@ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 190
96.0%
+ 8
 
4.0%
Space Separator
ValueCountFrequency (%)
33654
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6190
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 307
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 113808
56.4%
Common 86196
42.7%
Latin 1653
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7235
 
6.4%
7033
 
6.2%
6782
 
6.0%
6764
 
5.9%
6268
 
5.5%
6206
 
5.5%
6179
 
5.4%
6109
 
5.4%
6096
 
5.4%
6090
 
5.4%
Other values (391) 49046
43.1%
Latin
ValueCountFrequency (%)
S 164
 
9.9%
B 145
 
8.8%
E 112
 
6.8%
A 106
 
6.4%
O 98
 
5.9%
T 97
 
5.9%
R 90
 
5.4%
W 81
 
4.9%
K 75
 
4.5%
I 70
 
4.2%
Other values (37) 615
37.2%
Common
ValueCountFrequency (%)
33654
39.0%
, 7515
 
8.7%
( 6190
 
7.2%
) 6190
 
7.2%
1 6041
 
7.0%
2 5178
 
6.0%
3 4195
 
4.9%
0 3364
 
3.9%
4 3305
 
3.8%
5 2847
 
3.3%
Other values (12) 7717
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 113808
56.4%
ASCII 87848
43.6%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33654
38.3%
, 7515
 
8.6%
( 6190
 
7.0%
) 6190
 
7.0%
1 6041
 
6.9%
2 5178
 
5.9%
3 4195
 
4.8%
0 3364
 
3.8%
4 3305
 
3.8%
5 2847
 
3.2%
Other values (58) 9369
 
10.7%
Hangul
ValueCountFrequency (%)
7235
 
6.4%
7033
 
6.2%
6782
 
6.0%
6764
 
5.9%
6268
 
5.5%
6206
 
5.5%
6179
 
5.4%
6109
 
5.4%
6096
 
5.4%
6090
 
5.4%
Other values (391) 49046
43.1%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct497
Distinct (%)9.7%
Missing1628
Missing (%)24.2%
Infinite0
Infinite (%)0.0%
Mean34310.408
Minimum1714
Maximum135999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size59.3 KiB
2024-04-18T08:22:54.353566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1714
5-th percentile6017
Q16038
median6138
Q36335
95-th percentile135918
Maximum135999
Range134285
Interquartile range (IQR)297

Descriptive statistics

Standard deviation53503.228
Coefficient of variation (CV)1.5593877
Kurtosis-0.11850181
Mean34310.408
Median Absolute Deviation (MAD)108
Skewness1.3716828
Sum1.7498308 × 108
Variance2.8625954 × 109
MonotonicityNot monotonic
2024-04-18T08:22:54.500060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6030 192
 
2.9%
135822 147
 
2.2%
6134 134
 
2.0%
6031 127
 
1.9%
6035 118
 
1.8%
6038 112
 
1.7%
6025 102
 
1.5%
6120 81
 
1.2%
6014 78
 
1.2%
6022 77
 
1.1%
Other values (487) 3932
58.4%
(Missing) 1628
24.2%
ValueCountFrequency (%)
1714 1
 
< 0.1%
4985 1
 
< 0.1%
6000 1
 
< 0.1%
6001 7
 
0.1%
6004 5
 
0.1%
6005 3
 
< 0.1%
6006 1
 
< 0.1%
6009 1
 
< 0.1%
6010 27
0.4%
6011 14
0.2%
ValueCountFrequency (%)
135999 1
 
< 0.1%
135998 13
0.2%
135996 3
 
< 0.1%
135995 4
 
0.1%
135994 6
0.1%
135993 1
 
< 0.1%
135991 1
 
< 0.1%
135984 1
 
< 0.1%
135975 3
 
< 0.1%
135972 4
 
0.1%
Distinct6067
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size52.7 KiB
2024-04-18T08:22:54.741582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length7.6134067
Min length3

Characters and Unicode

Total characters51223
Distinct characters733
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5541 ?
Unique (%)82.4%

Sample

1st row영동중앙의원
2nd row강남구보건소
3rd row박재관외과의원
4th row구내과의원
5th row윤치과의원
ValueCountFrequency (%)
화이트치과의원 7
 
0.1%
예손치과의원 6
 
0.1%
정치과의원 6
 
0.1%
이치과의원 5
 
0.1%
치예원치과의원 5
 
0.1%
비앙카의원 5
 
0.1%
예인치과의원 5
 
0.1%
선능필치과의원 4
 
0.1%
원치과의원 4
 
0.1%
가인치과의원 4
 
0.1%
Other values (6082) 6713
99.2%
2024-04-18T08:22:55.096626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7044
 
13.8%
6897
 
13.5%
3877
 
7.6%
1584
 
3.1%
1379
 
2.7%
1233
 
2.4%
1199
 
2.3%
1091
 
2.1%
1024
 
2.0%
699
 
1.4%
Other values (723) 25196
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50094
97.8%
Open Punctuation 383
 
0.7%
Close Punctuation 383
 
0.7%
Decimal Number 177
 
0.3%
Uppercase Letter 100
 
0.2%
Space Separator 36
 
0.1%
Lowercase Letter 31
 
0.1%
Other Punctuation 16
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7044
 
14.1%
6897
 
13.8%
3877
 
7.7%
1584
 
3.2%
1379
 
2.8%
1233
 
2.5%
1199
 
2.4%
1091
 
2.2%
1024
 
2.0%
699
 
1.4%
Other values (667) 24067
48.0%
Uppercase Letter
ValueCountFrequency (%)
B 13
13.0%
D 9
 
9.0%
H 8
 
8.0%
N 7
 
7.0%
S 7
 
7.0%
M 7
 
7.0%
K 5
 
5.0%
T 5
 
5.0%
A 5
 
5.0%
V 5
 
5.0%
Other values (13) 29
29.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
16.1%
t 4
12.9%
h 3
9.7%
i 3
9.7%
o 2
 
6.5%
n 2
 
6.5%
u 2
 
6.5%
a 2
 
6.5%
m 2
 
6.5%
d 1
 
3.2%
Other values (5) 5
16.1%
Decimal Number
ValueCountFrequency (%)
1 30
16.9%
3 27
15.3%
5 24
13.6%
2 22
12.4%
6 21
11.9%
0 19
10.7%
7 13
7.3%
8 8
 
4.5%
9 7
 
4.0%
4 6
 
3.4%
Other Punctuation
ValueCountFrequency (%)
? 5
31.2%
. 5
31.2%
& 4
25.0%
, 2
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 383
100.0%
Close Punctuation
ValueCountFrequency (%)
) 383
100.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50081
97.8%
Common 998
 
1.9%
Latin 131
 
0.3%
Han 13
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7044
 
14.1%
6897
 
13.8%
3877
 
7.7%
1584
 
3.2%
1379
 
2.8%
1233
 
2.5%
1199
 
2.4%
1091
 
2.2%
1024
 
2.0%
699
 
1.4%
Other values (654) 24054
48.0%
Latin
ValueCountFrequency (%)
B 13
 
9.9%
D 9
 
6.9%
H 8
 
6.1%
N 7
 
5.3%
S 7
 
5.3%
M 7
 
5.3%
K 5
 
3.8%
e 5
 
3.8%
T 5
 
3.8%
A 5
 
3.8%
Other values (28) 60
45.8%
Common
ValueCountFrequency (%)
( 383
38.4%
) 383
38.4%
36
 
3.6%
1 30
 
3.0%
3 27
 
2.7%
5 24
 
2.4%
2 22
 
2.2%
6 21
 
2.1%
0 19
 
1.9%
7 13
 
1.3%
Other values (8) 40
 
4.0%
Han
ValueCountFrequency (%)
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
Other values (3) 3
23.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50081
97.8%
ASCII 1129
 
2.2%
CJK 13
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
7044
 
14.1%
6897
 
13.8%
3877
 
7.7%
1584
 
3.2%
1379
 
2.8%
1233
 
2.5%
1199
 
2.4%
1091
 
2.2%
1024
 
2.0%
699
 
1.4%
Other values (654) 24054
48.0%
ASCII
ValueCountFrequency (%)
( 383
33.9%
) 383
33.9%
36
 
3.2%
1 30
 
2.7%
3 27
 
2.4%
5 24
 
2.1%
2 22
 
1.9%
6 21
 
1.9%
0 19
 
1.7%
B 13
 
1.2%
Other values (46) 171
15.1%
CJK
ValueCountFrequency (%)
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
Other values (3) 3
23.1%
Distinct6353
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size52.7 KiB
Minimum2008-12-26 17:28:47
Maximum2024-04-16 18:04:48
2024-04-18T08:22:55.223848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T08:22:55.348383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size52.7 KiB
I
3553 
U
3173 
D
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 3553
52.8%
U 3173
47.2%
D 2
 
< 0.1%

Length

2024-04-18T08:22:55.464761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:22:55.559236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3553
52.8%
u 3173
47.2%
d 2
 
< 0.1%
Distinct933
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size52.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-04-18T08:22:55.677997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T08:22:55.867711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size52.7 KiB
의원
4048 
치과의원
1474 
한의원
1205 
보건소
 
1

Length

Max length4
Median length2
Mean length2.6174197
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
의원 4048
60.2%
치과의원 1474
 
21.9%
한의원 1205
 
17.9%
보건소 1
 
< 0.1%

Length

2024-04-18T08:22:56.592195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:22:56.695784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 4048
60.2%
치과의원 1474
 
21.9%
한의원 1205
 
17.9%
보건소 1
 
< 0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1988
Distinct (%)32.4%
Missing600
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean203505.39
Minimum201620.45
Maximum210047.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size59.3 KiB
2024-04-18T08:22:56.837660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201620.45
5-th percentile201828.76
Q1202398.02
median203143.58
Q3204300.11
95-th percentile205886.29
Maximum210047.97
Range8427.5251
Interquartile range (IQR)1902.0855

Descriptive statistics

Standard deviation1426.422
Coefficient of variation (CV)0.0070092591
Kurtosis2.3836151
Mean203505.39
Median Absolute Deviation (MAD)801.15865
Skewness1.3611303
Sum1.247081 × 109
Variance2034679.6
MonotonicityNot monotonic
2024-04-18T08:22:56.976729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202369.654800425 99
 
1.5%
202398.022535049 65
 
1.0%
205707.089399978 38
 
0.6%
201677.925882649 37
 
0.5%
202462.604763481 35
 
0.5%
202397.200552337 33
 
0.5%
202231.679115994 26
 
0.4%
201887.115904979 26
 
0.4%
202378.390574465 25
 
0.4%
202356.949343633 24
 
0.4%
Other values (1978) 5720
85.0%
(Missing) 600
 
8.9%
ValueCountFrequency (%)
201620.446225572 6
 
0.1%
201640.067533451 4
 
0.1%
201653.207482566 2
 
< 0.1%
201657.313312924 5
 
0.1%
201660.523554193 7
 
0.1%
201664.929814711 1
 
< 0.1%
201667.786866215 1
 
< 0.1%
201677.925882649 37
0.5%
201681.353006603 3
 
< 0.1%
201684.704785227 1
 
< 0.1%
ValueCountFrequency (%)
210047.97131422 1
 
< 0.1%
209508.158226602 1
 
< 0.1%
209468.661415857 1
 
< 0.1%
209423.649311203 2
< 0.1%
209402.929059265 1
 
< 0.1%
209369.294251838 1
 
< 0.1%
209331.984878629 1
 
< 0.1%
209274.659792 1
 
< 0.1%
209229.482887777 1
 
< 0.1%
209205.687910519 3
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1986
Distinct (%)32.4%
Missing600
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean445278.45
Minimum440112.99
Maximum460985.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size59.3 KiB
2024-04-18T08:22:57.115578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440112.99
5-th percentile442619.81
Q1444083.18
median445431.55
Q3446727.58
95-th percentile447181.18
Maximum460985.11
Range20872.121
Interquartile range (IQR)2644.4009

Descriptive statistics

Standard deviation1512.1792
Coefficient of variation (CV)0.0033960306
Kurtosis1.2020514
Mean445278.45
Median Absolute Deviation (MAD)1330.5773
Skewness-0.25086927
Sum2.7286663 × 109
Variance2286686.1
MonotonicityNot monotonic
2024-04-18T08:22:57.248032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445538.395944002 99
 
1.5%
446869.307086395 65
 
1.0%
443914.194133105 38
 
0.6%
446068.442585795 37
 
0.5%
443960.186302868 35
 
0.5%
444044.80313171 33
 
0.5%
447037.821824887 26
 
0.4%
446069.444901719 26
 
0.4%
446705.197148871 25
 
0.4%
445524.814631267 24
 
0.4%
Other values (1976) 5720
85.0%
(Missing) 600
 
8.9%
ValueCountFrequency (%)
440112.987487173 4
 
0.1%
440208.558412381 2
 
< 0.1%
440242.330755912 1
 
< 0.1%
440405.743740801 10
0.1%
440518.109999999 2
 
< 0.1%
440556.711091 1
 
< 0.1%
440707.890762 1
 
< 0.1%
441014.810920055 1
 
< 0.1%
441097.917189004 1
 
< 0.1%
441108.499651602 4
 
0.1%
ValueCountFrequency (%)
460985.10841379 1
 
< 0.1%
450495.893226514 1
 
< 0.1%
447782.51322707 3
 
< 0.1%
447748.161018109 9
0.1%
447721.814586436 1
 
< 0.1%
447663.86257666 2
 
< 0.1%
447649.978394541 1
 
< 0.1%
447511.324362 3
 
< 0.1%
447409.80303357 1
 
< 0.1%
447400.303560123 3
 
< 0.1%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size52.7 KiB
의원
2542 
<NA>
2323 
치과의원
1042 
한의원
820 
보건소
 
1

Length

Max length4
Median length4
Mean length3.1223246
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
의원 2542
37.8%
<NA> 2323
34.5%
치과의원 1042
15.5%
한의원 820
 
12.2%
보건소 1
 
< 0.1%

Length

2024-04-18T08:22:57.383502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:22:57.500376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 2542
37.8%
na 2323
34.5%
치과의원 1042
15.5%
한의원 820
 
12.2%
보건소 1
 
< 0.1%

의료인수
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)0.4%
Missing2323
Missing (%)34.5%
Infinite0
Infinite (%)0.0%
Mean1.3559591
Minimum0
Maximum30
Zeros132
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size59.3 KiB
2024-04-18T08:22:57.604213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2114966
Coefficient of variation (CV)0.89346096
Kurtosis166.9744
Mean1.3559591
Median Absolute Deviation (MAD)0
Skewness9.6743329
Sum5973
Variance1.4677239
MonotonicityNot monotonic
2024-04-18T08:22:57.726128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 3284
48.8%
2 681
 
10.1%
3 177
 
2.6%
0 132
 
2.0%
4 64
 
1.0%
5 24
 
0.4%
6 11
 
0.2%
7 9
 
0.1%
9 5
 
0.1%
8 4
 
0.1%
Other values (9) 14
 
0.2%
(Missing) 2323
34.5%
ValueCountFrequency (%)
0 132
 
2.0%
1 3284
48.8%
2 681
 
10.1%
3 177
 
2.6%
4 64
 
1.0%
5 24
 
0.4%
6 11
 
0.2%
7 9
 
0.1%
8 4
 
0.1%
9 5
 
0.1%
ValueCountFrequency (%)
30 1
 
< 0.1%
29 1
 
< 0.1%
19 1
 
< 0.1%
17 1
 
< 0.1%
16 1
 
< 0.1%
13 3
< 0.1%
12 1
 
< 0.1%
11 2
 
< 0.1%
10 3
< 0.1%
9 5
0.1%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)0.4%
Missing2323
Missing (%)34.5%
Infinite0
Infinite (%)0.0%
Mean0.17752554
Minimum0
Maximum21
Zeros4150
Zeros (%)61.7%
Negative0
Negative (%)0.0%
Memory size59.3 KiB
2024-04-18T08:22:57.874744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0618022
Coefficient of variation (CV)5.9811237
Kurtosis124.90327
Mean0.17752554
Median Absolute Deviation (MAD)0
Skewness9.811869
Sum782
Variance1.1274239
MonotonicityNot monotonic
2024-04-18T08:22:57.999381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 4150
61.7%
1 110
 
1.6%
2 59
 
0.9%
3 17
 
0.3%
4 16
 
0.2%
6 12
 
0.2%
5 10
 
0.1%
7 8
 
0.1%
8 6
 
0.1%
9 4
 
0.1%
Other values (8) 13
 
0.2%
(Missing) 2323
34.5%
ValueCountFrequency (%)
0 4150
61.7%
1 110
 
1.6%
2 59
 
0.9%
3 17
 
0.3%
4 16
 
0.2%
5 10
 
0.1%
6 12
 
0.2%
7 8
 
0.1%
8 6
 
0.1%
9 4
 
0.1%
ValueCountFrequency (%)
21 1
 
< 0.1%
20 1
 
< 0.1%
16 1
 
< 0.1%
15 1
 
< 0.1%
14 2
 
< 0.1%
12 3
< 0.1%
11 1
 
< 0.1%
10 3
< 0.1%
9 4
0.1%
8 6
0.1%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)0.5%
Missing2323
Missing (%)34.5%
Infinite0
Infinite (%)0.0%
Mean0.33257662
Minimum0
Maximum49
Zeros4145
Zeros (%)61.6%
Negative0
Negative (%)0.0%
Memory size59.3 KiB
2024-04-18T08:22:58.131408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation2.3580391
Coefficient of variation (CV)7.0902133
Kurtosis161.02151
Mean0.33257662
Median Absolute Deviation (MAD)0
Skewness11.547512
Sum1465
Variance5.5603486
MonotonicityNot monotonic
2024-04-18T08:22:58.242027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 4145
61.6%
1 73
 
1.1%
2 63
 
0.9%
3 30
 
0.4%
4 18
 
0.3%
7 10
 
0.1%
5 10
 
0.1%
9 9
 
0.1%
29 9
 
0.1%
8 8
 
0.1%
Other values (14) 30
 
0.4%
(Missing) 2323
34.5%
ValueCountFrequency (%)
0 4145
61.6%
1 73
 
1.1%
2 63
 
0.9%
3 30
 
0.4%
4 18
 
0.3%
5 10
 
0.1%
6 3
 
< 0.1%
7 10
 
0.1%
8 8
 
0.1%
9 9
 
0.1%
ValueCountFrequency (%)
49 2
 
< 0.1%
29 9
0.1%
28 2
 
< 0.1%
27 1
 
< 0.1%
26 1
 
< 0.1%
25 2
 
< 0.1%
24 2
 
< 0.1%
23 2
 
< 0.1%
22 2
 
< 0.1%
18 2
 
< 0.1%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct2604
Distinct (%)59.1%
Missing2323
Missing (%)34.5%
Infinite0
Infinite (%)0.0%
Mean153.22286
Minimum0
Maximum3768.81
Zeros763
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size59.3 KiB
2024-04-18T08:22:58.373426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q163.55
median122.31
Q3198
95-th percentile403.438
Maximum3768.81
Range3768.81
Interquartile range (IQR)134.45

Descriptive statistics

Standard deviation174.41416
Coefficient of variation (CV)1.1383038
Kurtosis76.793884
Mean153.22286
Median Absolute Deviation (MAD)66.29
Skewness5.9408783
Sum674946.68
Variance30420.298
MonotonicityNot monotonic
2024-04-18T08:22:58.511806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 763
 
11.3%
132.0 16
 
0.2%
99.0 14
 
0.2%
66.0 13
 
0.2%
165.0 12
 
0.2%
112.0 11
 
0.2%
100.0 11
 
0.2%
82.0 11
 
0.2%
85.8 10
 
0.1%
20.0 10
 
0.1%
Other values (2594) 3534
52.5%
(Missing) 2323
34.5%
ValueCountFrequency (%)
0.0 763
11.3%
5.4 1
 
< 0.1%
8.0 1
 
< 0.1%
9.5 1
 
< 0.1%
10.23 1
 
< 0.1%
11.0 1
 
< 0.1%
12.55 1
 
< 0.1%
13.06 1
 
< 0.1%
13.2 1
 
< 0.1%
13.5 1
 
< 0.1%
ValueCountFrequency (%)
3768.81 1
< 0.1%
2885.67 1
< 0.1%
2522.36 1
< 0.1%
2043.65 1
< 0.1%
1683.11 1
< 0.1%
1635.22 1
< 0.1%
1596.84 1
< 0.1%
1533.49 1
< 0.1%
1460.0 1
< 0.1%
1441.2 1
< 0.1%

진료과목내용
Text

MISSING 

Distinct655
Distinct (%)14.9%
Missing2323
Missing (%)34.5%
Memory size52.7 KiB
2024-04-18T08:22:58.720676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length3
Mean length11.096254
Min length3

Characters and Unicode

Total characters48879
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

Unique504 ?
Unique (%)11.4%

Sample

1st row101
2nd row601
3rd row104
4th row101
5th row201 202 203 204 205 206 207 208 209 210
ValueCountFrequency (%)
108 1156
 
8.7%
114 1141
 
8.6%
301 815
 
6.1%
101 698
 
5.2%
401 697
 
5.2%
302 469
 
3.5%
304 467
 
3.5%
303 465
 
3.5%
306 465
 
3.5%
305 464
 
3.5%
Other values (49) 6484
48.7%
2024-04-18T08:22:59.065842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10806
22.1%
1 10677
21.8%
8916
18.2%
3 5213
10.7%
4 4270
 
8.7%
2 3755
 
7.7%
8 1948
 
4.0%
5 1103
 
2.3%
6 877
 
1.8%
7 786
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39963
81.8%
Space Separator 8916
 
18.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10806
27.0%
1 10677
26.7%
3 5213
13.0%
4 4270
 
10.7%
2 3755
 
9.4%
8 1948
 
4.9%
5 1103
 
2.8%
6 877
 
2.2%
7 786
 
2.0%
9 528
 
1.3%
Space Separator
ValueCountFrequency (%)
8916
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 48879
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10806
22.1%
1 10677
21.8%
8916
18.2%
3 5213
10.7%
4 4270
 
8.7%
2 3755
 
7.7%
8 1948
 
4.0%
5 1103
 
2.3%
6 877
 
1.8%
7 786
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48879
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10806
22.1%
1 10677
21.8%
8916
18.2%
3 5213
10.7%
4 4270
 
8.7%
2 3755
 
7.7%
8 1948
 
4.0%
5 1103
 
2.3%
6 877
 
1.8%
7 786
 
1.6%

진료과목내용명
Text

MISSING 

Distinct436
Distinct (%)9.9%
Missing2323
Missing (%)34.5%
Memory size52.7 KiB
2024-04-18T08:22:59.263505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length127
Median length89
Mean length17.98933
Min length2

Characters and Unicode

Total characters79243
Distinct characters70
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

Unique299 ?
Unique (%)6.8%

Sample

1st row내과
2nd row보건소
3rd row외과
4th row내과
5th row구강악안면외과, 치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강내과, 구강악안면방사선과, 구강병리과, 예방치과
ValueCountFrequency (%)
성형외과 1156
 
8.7%
피부과 1141
 
8.6%
한방내과 815
 
6.1%
치과 705
 
5.3%
내과 698
 
5.2%
한방부인과 469
 
3.5%
한방안?이비인후?피부과 467
 
3.5%
한방소아과 465
 
3.5%
한방재활의학과 465
 
3.5%
한방신경정신과 464
 
3.5%
Other values (39) 6476
48.6%
2024-04-18T08:22:59.609871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14291
18.0%
, 8916
 
11.3%
8916
 
11.3%
3704
 
4.7%
3202
 
4.0%
2781
 
3.5%
2331
 
2.9%
1911
 
2.4%
1832
 
2.3%
1630
 
2.1%
Other values (60) 29729
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60477
76.3%
Other Punctuation 9850
 
12.4%
Space Separator 8916
 
11.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14291
23.6%
3704
 
6.1%
3202
 
5.3%
2781
 
4.6%
2331
 
3.9%
1911
 
3.2%
1832
 
3.0%
1630
 
2.7%
1626
 
2.7%
1608
 
2.7%
Other values (57) 25561
42.3%
Other Punctuation
ValueCountFrequency (%)
, 8916
90.5%
? 934
 
9.5%
Space Separator
ValueCountFrequency (%)
8916
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60477
76.3%
Common 18766
 
23.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14291
23.6%
3704
 
6.1%
3202
 
5.3%
2781
 
4.6%
2331
 
3.9%
1911
 
3.2%
1832
 
3.0%
1630
 
2.7%
1626
 
2.7%
1608
 
2.7%
Other values (57) 25561
42.3%
Common
ValueCountFrequency (%)
, 8916
47.5%
8916
47.5%
? 934
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60477
76.3%
ASCII 18766
 
23.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
14291
23.6%
3704
 
6.1%
3202
 
5.3%
2781
 
4.6%
2331
 
3.9%
1911
 
3.2%
1832
 
3.0%
1630
 
2.7%
1626
 
2.7%
1608
 
2.7%
Other values (57) 25561
42.3%
ASCII
ValueCountFrequency (%)
, 8916
47.5%
8916
47.5%
? 934
 
5.0%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6728
Missing (%)100.0%
Memory size59.3 KiB

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6728
Missing (%)100.0%
Memory size59.3 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6728
Missing (%)100.0%
Memory size59.3 KiB

구급차특수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size52.7 KiB
0
4405 
<NA>
2323 

Length

Max length4
Median length1
Mean length2.0358205
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 4405
65.5%
<NA> 2323
34.5%

Length

2024-04-18T08:22:59.821368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:22:59.924055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4405
65.5%
na 2323
34.5%

구급차일반
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size52.7 KiB
0
4405 
<NA>
2323 

Length

Max length4
Median length1
Mean length2.0358205
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 4405
65.5%
<NA> 2323
34.5%

Length

2024-04-18T08:23:00.047968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:23:00.184490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4405
65.5%
na 2323
34.5%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6728
Missing (%)100.0%
Memory size59.3 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6728
Missing (%)100.0%
Memory size59.3 KiB

허가병상수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size52.7 KiB
0
4405 
<NA>
2323 

Length

Max length4
Median length1
Mean length2.0358205
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 4405
65.5%
<NA> 2323
34.5%

Length

2024-04-18T08:23:00.323804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:23:00.454183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4405
65.5%
na 2323
34.5%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6728
Missing (%)100.0%
Memory size59.3 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03220000PHMA10974322003304110000119740320<NA>3폐업3폐업20081010<NA><NA><NA>3462-3181<NA>135860서울특별시 강남구 도곡1동 956번지 7호<NA><NA>영동중앙의원2014-01-07 13:08:19I2018-08-31 23:59:59.0의원<NA><NA>의원1211122.0101내과<NA><NA><NA>00<NA><NA>0<NA>
13220000PHMA11900322003304110000119000101<NA>1영업/정상13영업중<NA><NA><NA><NA>3423-7200<NA>135864서울특별시 강남구 삼성동 8번지서울특별시 강남구 선릉로 668 (삼성동)6088강남구보건소2017-09-05 18:38:56I2018-08-31 23:59:59.0보건소203655.322862446012.328167보건소3000100.0601보건소<NA><NA><NA>00<NA><NA>0<NA>
23220000PHMA11973322003304110000119730929<NA>3폐업3폐업20010425<NA><NA><NA><NA><NA>135827서울특별시 강남구 논현1동 199번지 4호서울특별시 강남구 강남대로 482 (논현동)135827박재관외과의원2013-04-12 08:44:39I2018-08-31 23:59:59.0의원202098.026748444801.432607의원1000.0104외과<NA><NA><NA>00<NA><NA>0<NA>
33220000PHMA11974322003304110000119740910<NA>3폐업3폐업201508082015050820150807<NA>543-4343<NA>135995서울특별시 강남구 논현2동 74번지 24호서울특별시 강남구 논현로 730 (논현동)135995구내과의원2015-08-05 17:12:43I2018-08-31 23:59:59.0의원202542.94943446111.37052의원300132.0101내과<NA><NA><NA>00<NA><NA>0<NA>
43220000PHMA11974322003304110117819740324<NA>3폐업3폐업20081229<NA><NA><NA>3460-2207<NA>135272도곡동 467-19 (406호)<NA><NA>윤치과의원2013-10-22 17:06:31I2018-08-31 23:59:59.0치과의원<NA><NA>치과의원10063.14201 202 203 204 205 206 207 208 209 210구강악안면외과, 치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강내과, 구강악안면방사선과, 구강병리과, 예방치과<NA><NA><NA>00<NA><NA>0<NA>
53220000PHMA11974322003304110117919740524<NA>3폐업3폐업19930401<NA><NA><NA><NA><NA>135100서울특별시 강남구 청담동 청화(아) A-105<NA><NA>순심의원2013-04-15 09:08:45I2018-08-31 23:59:59.0의원<NA><NA>의원1000.0101내과<NA><NA><NA>00<NA><NA>0<NA>
63220000PHMA11974322003304110118019740709<NA>3폐업3폐업20031201<NA><NA><NA><NA><NA>135927서울특별시 강남구 역삼2동 765번지 1호서울특별시 선릉로63길 13135927조내과의원2013-04-19 08:48:27I2018-08-31 23:59:59.0의원204452.460704443870.082534의원1000.0101내과<NA><NA><NA>00<NA><NA>0<NA>
73220000PHMA11975322003304110117919750701<NA>3폐업3폐업20100731<NA><NA><NA>547-5466<NA>135011논현동 143-15<NA><NA>박기헌치과의원2013-10-25 11:41:53I2018-08-31 23:59:59.0치과의원<NA><NA>치과의원10024.0201 202 203 204 205 206 207 208 209 210구강악안면외과, 치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강내과, 구강악안면방사선과, 구강병리과, 예방치과<NA><NA><NA>00<NA><NA>0<NA>
83220000PHMA11975322003304110118019750220<NA>3폐업3폐업19981127<NA><NA><NA><NA><NA>135847서울특별시 강남구 대치2동 960번지서울특별시 강남구 삼성로 408 (대치동)135847성덕의원2013-04-19 08:52:52I2018-08-31 23:59:59.0의원205121.552943444617.16705의원2000.0101내과<NA><NA><NA>00<NA><NA>0<NA>
93220000PHMA11975322003304110118119750526<NA>3폐업3폐업20200326<NA><NA><NA>025455834<NA>135830서울특별시 강남구 논현2동 240번지 13호 2층서울특별시 강남구 선릉로129길 22, 2층 (논현동)6099여영구소아청소년과의원2020-03-26 11:37:35U2020-03-28 02:40:00.0의원203437.002743445990.829857의원200130.0101 111내과, 소아청소년과<NA><NA><NA>00<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
67183220000PHMA1202432200330411000512024-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-545-7475<NA><NA>서울특별시 강남구 청담동 91-9 파모소빌딩 2층서울특별시 강남구 도산대로 427, 파모소빌딩 2층 (청담동)6016셀타임의원2024-04-04 22:13:42U2023-12-04 00:06:00.0의원203693.316311446862.339555<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67193220000PHMA1202432200330411000522024-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6949-1800<NA><NA>서울특별시 강남구 청담동 84-7 공신진흥빌딩 4층서울특별시 강남구 선릉로 830, 공신진흥빌딩 4층 (청담동)6014닥터에버스의원2024-04-04 21:13:27U2023-12-04 00:06:00.0의원203505.230311447084.653663<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67203220000PHMA1202432200330411000532024-04-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-000-0000<NA><NA>서울특별시 강남구 신사동 616-2 우미빌딩서울특별시 강남구 압구정로 224, 우미빌딩 2층 205호 (신사동)6023뷰리플한의원2024-04-05 03:43:35U2023-12-04 00:07:00.0한의원202772.968268447366.539357<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67213220000PHMA1202432200330411000542024-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6014-3100<NA><NA>서울특별시 강남구 역삼동 824-20 상경빌딩서울특별시 강남구 테헤란로 120, 상경빌딩 9층 (역삼동)6233연세아이미스템의원2024-04-12 03:43:35U2023-12-03 23:04:00.0의원202658.708549444048.071439<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67223220000PHMA1202432200330411000552024-04-03<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2088-7362<NA><NA>서울특별시 강남구 대치동 961 창진빌딩서울특별시 강남구 삼성로 352, 창진빌딩 4층 402호 (대치동)6186클라이피정신건강의학과의원2024-04-05 03:43:35U2023-12-04 00:07:00.0의원205156.917415444535.964229<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67233220000PHMA1202432200330411000562024-04-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-577-7588<NA><NA>서울특별시 강남구 도곡동 952-10 목원빌딩서울특별시 강남구 강남대로 248, 목원빌딩 4(일부)층 (도곡동)6266서울웰정신건강의학과의원2024-04-05 19:04:35I2023-12-04 00:07:00.0의원202932.225858442614.94189<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67243220000PHMA1202432200330411000572020-12-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-554-8882<NA><NA>서울특별시 강남구 역삼동 721-35 기산빌딩 6층서울특별시 강남구 언주로 411, 기산빌딩 6층 (역삼동)6222리버스한의원2024-04-11 14:20:41U2023-12-03 23:03:00.0한의원203794.211061444168.339943<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67253220000PHMA1202432200330411000582024-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-568-4455<NA><NA>서울특별시 강남구 대치동 921-5서울특별시 강남구 선릉로 328, 2층 201,204,205,206호 (대치동)6199경희다감한의원2024-04-12 18:09:49I2023-12-03 23:04:00.0한의원204522.331494444095.733787<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67263220000PHMA1202432200330411000592024-04-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 705-30 선릉빌딩서울특별시 강남구 테헤란로 339, 선릉빌딩 10층 (역삼동)6150모멘텀헤어라인의원2024-04-16 09:10:38I2023-12-03 23:08:00.0의원204228.589255444733.029353<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67273220000PHMA1202432200330411000602024-04-16<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6207-0055<NA><NA>서울특별시 강남구 신사동 585-1 네오스서울특별시 강남구 논현로 831, 301호 (신사동)6032우성일정신건강의학과의원2024-04-16 18:04:48I2023-12-03 23:08:00.0의원202378.390574446705.197149<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>