Overview

Dataset statistics

Number of variables41
Number of observations120
Missing cells1927
Missing cells (%)39.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.1 KiB
Average record size in memory351.1 B

Variable types

Categorical11
Text8
DateTime6
Unsupported8
Numeric8

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-16181/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 120 (100.0%) missing valuesMissing
폐업일자 has 69 (57.5%) missing valuesMissing
휴업시작일자 has 118 (98.3%) missing valuesMissing
휴업종료일자 has 118 (98.3%) missing valuesMissing
재개업일자 has 120 (100.0%) missing valuesMissing
전화번호 has 5 (4.2%) missing valuesMissing
소재지면적 has 81 (67.5%) missing valuesMissing
소재지우편번호 has 88 (73.3%) missing valuesMissing
지번주소 has 25 (20.8%) missing valuesMissing
도로명주소 has 4 (3.3%) missing valuesMissing
도로명우편번호 has 7 (5.8%) missing valuesMissing
좌표정보(X) has 7 (5.8%) missing valuesMissing
좌표정보(Y) has 7 (5.8%) missing valuesMissing
의료인수 has 73 (60.8%) missing valuesMissing
입원실수 has 73 (60.8%) missing valuesMissing
병상수 has 73 (60.8%) missing valuesMissing
총면적 has 73 (60.8%) missing valuesMissing
진료과목내용 has 73 (60.8%) missing valuesMissing
진료과목내용명 has 73 (60.8%) missing valuesMissing
지정취소일자 has 120 (100.0%) missing valuesMissing
완화의료지정형태 has 120 (100.0%) missing valuesMissing
완화의료담당부서명 has 120 (100.0%) missing valuesMissing
총인원 has 120 (100.0%) missing valuesMissing
구조사수 has 120 (100.0%) missing valuesMissing
최초지정일자 has 120 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
최종수정일자 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
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 2 (1.7%) zerosZeros
입원실수 has 22 (18.3%) zerosZeros
병상수 has 20 (16.7%) zerosZeros
총면적 has 2 (1.7%) zerosZeros

Reproduction

Analysis started2024-04-06 11:01:36.942983
Analysis finished2024-04-06 11:01:38.210566
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3220000
120 

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 120
100.0%

Length

2024-04-06T20:01:38.357096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:01:38.510584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 120
100.0%

관리번호
Text

UNIQUE 

Distinct120
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-06T20:01:38.806701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters3000
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

Unique120 ?
Unique (%)100.0%

Sample

1st rowPHMA219803220033021200001
2nd rowPHMA219833220033021200001
3rd rowPHMA219833220033021200002
4th rowPHMA219903220033021200001
5th rowPHMA219903220033021200002
ValueCountFrequency (%)
phma219803220033021200001 1
 
0.8%
phma219833220033021200001 1
 
0.8%
phma220153220033021200004 1
 
0.8%
phma220153220033021200003 1
 
0.8%
phma220153220033021200002 1
 
0.8%
phma220153220033021200001 1
 
0.8%
phma220143220033021200002 1
 
0.8%
phma220143220033021200001 1
 
0.8%
phma220133220033021200010 1
 
0.8%
phma220133220033021200009 1
 
0.8%
Other values (110) 110
91.7%
2024-04-06T20:01:39.395403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 997
33.2%
2 757
25.2%
3 399
13.3%
1 223
 
7.4%
P 120
 
4.0%
H 120
 
4.0%
M 120
 
4.0%
A 120
 
4.0%
9 47
 
1.6%
8 24
 
0.8%
Other values (4) 73
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2520
84.0%
Uppercase Letter 480
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 997
39.6%
2 757
30.0%
3 399
15.8%
1 223
 
8.8%
9 47
 
1.9%
8 24
 
1.0%
5 22
 
0.9%
4 20
 
0.8%
7 17
 
0.7%
6 14
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
P 120
25.0%
H 120
25.0%
M 120
25.0%
A 120
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2520
84.0%
Latin 480
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 997
39.6%
2 757
30.0%
3 399
15.8%
1 223
 
8.8%
9 47
 
1.9%
8 24
 
1.0%
5 22
 
0.9%
4 20
 
0.8%
7 17
 
0.7%
6 14
 
0.6%
Latin
ValueCountFrequency (%)
P 120
25.0%
H 120
25.0%
M 120
25.0%
A 120
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 997
33.2%
2 757
25.2%
3 399
13.3%
1 223
 
7.4%
P 120
 
4.0%
H 120
 
4.0%
M 120
 
4.0%
A 120
 
4.0%
9 47
 
1.6%
8 24
 
0.8%
Other values (4) 73
 
2.4%

인허가일자
Date

UNIQUE 

Distinct120
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1980-07-05 00:00:00
Maximum2023-09-27 00:00:00
2024-04-06T20:01:39.668132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:01:40.002692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing120
Missing (%)100.0%
Memory size1.2 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
68 
3
50 
4
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
1 68
56.7%
3 50
41.7%
4 1
 
0.8%
2 1
 
0.8%

Length

2024-04-06T20:01:40.243374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:01:40.415112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 68
56.7%
3 50
41.7%
4 1
 
0.8%
2 1
 
0.8%

영업상태명
Categorical

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업/정상
68 
폐업
50 
취소/말소/만료/정지/중지
 
1
휴업
 
1

Length

Max length14
Median length5
Mean length3.8
Min length2

Unique

Unique2 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 68
56.7%
폐업 50
41.7%
취소/말소/만료/정지/중지 1
 
0.8%
휴업 1
 
0.8%

Length

2024-04-06T20:01:40.608130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:01:40.795947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 68
56.7%
폐업 50
41.7%
취소/말소/만료/정지/중지 1
 
0.8%
휴업 1
 
0.8%

상세영업상태코드
Categorical

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
13
68 
3
50 
24
 
1
2
 
1

Length

Max length2
Median length2
Mean length1.575
Min length1

Unique

Unique2 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
13 68
56.7%
3 50
41.7%
24 1
 
0.8%
2 1
 
0.8%

Length

2024-04-06T20:01:40.995613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:01:41.177728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 68
56.7%
3 50
41.7%
24 1
 
0.8%
2 1
 
0.8%

상세영업상태명
Categorical

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업중
68 
폐업
50 
직권폐업
 
1
휴업
 
1

Length

Max length4
Median length3
Mean length2.5833333
Min length2

Unique

Unique2 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 68
56.7%
폐업 50
41.7%
직권폐업 1
 
0.8%
휴업 1
 
0.8%

Length

2024-04-06T20:01:41.388301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:01:41.583276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 68
56.7%
폐업 50
41.7%
직권폐업 1
 
0.8%
휴업 1
 
0.8%

폐업일자
Date

MISSING 

Distinct51
Distinct (%)100.0%
Missing69
Missing (%)57.5%
Memory size1.1 KiB
Minimum2001-07-13 00:00:00
Maximum2023-12-28 00:00:00
2024-04-06T20:01:41.771018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:01:42.014817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing118
Missing (%)98.3%
Memory size1.1 KiB
Minimum2022-05-20 00:00:00
Maximum2024-04-01 00:00:00
2024-04-06T20:01:42.198824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:01:42.344446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

휴업종료일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing118
Missing (%)98.3%
Memory size1.1 KiB
Minimum2023-06-30 00:00:00
Maximum2024-06-30 00:00:00
2024-04-06T20:01:42.516582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:01:42.673895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing120
Missing (%)100.0%
Memory size1.2 KiB

전화번호
Text

MISSING 

Distinct115
Distinct (%)100.0%
Missing5
Missing (%)4.2%
Memory size1.1 KiB
2024-04-06T20:01:43.229385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length10.304348
Min length8

Characters and Unicode

Total characters1185
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique115 ?
Unique (%)100.0%

Sample

1st row555-5851
2nd row5193-114
3rd row02-2019-3114
4th row02-3468-3000
5th row02-556-6836
ValueCountFrequency (%)
511-8172 1
 
0.9%
02-523-1075 1
 
0.9%
02-6959-0232 1
 
0.9%
02-543-7533 1
 
0.9%
1522-2030 1
 
0.9%
02-539-2250 1
 
0.9%
02-542-2222 1
 
0.9%
02-2104-2000 1
 
0.9%
554-5517 1
 
0.9%
02-6053-2114 1
 
0.9%
Other values (105) 105
91.3%
2024-04-06T20:01:43.996343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 194
16.4%
- 178
15.0%
2 160
13.5%
5 151
12.7%
1 119
10.0%
4 74
 
6.2%
8 73
 
6.2%
7 71
 
6.0%
3 66
 
5.6%
6 54
 
4.6%
Other values (2) 45
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1006
84.9%
Dash Punctuation 178
 
15.0%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 194
19.3%
2 160
15.9%
5 151
15.0%
1 119
11.8%
4 74
 
7.4%
8 73
 
7.3%
7 71
 
7.1%
3 66
 
6.6%
6 54
 
5.4%
9 44
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 178
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1185
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 194
16.4%
- 178
15.0%
2 160
13.5%
5 151
12.7%
1 119
10.0%
4 74
 
6.2%
8 73
 
6.2%
7 71
 
6.0%
3 66
 
5.6%
6 54
 
4.6%
Other values (2) 45
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1185
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 194
16.4%
- 178
15.0%
2 160
13.5%
5 151
12.7%
1 119
10.0%
4 74
 
6.2%
8 73
 
6.2%
7 71
 
6.0%
3 66
 
5.6%
6 54
 
4.6%
Other values (2) 45
 
3.8%

소재지면적
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)100.0%
Missing81
Missing (%)67.5%
Infinite0
Infinite (%)0.0%
Mean12631.302
Minimum166.27
Maximum272422.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-06T20:01:44.230667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum166.27
5-th percentile465.242
Q11189.29
median2740.75
Q34143.015
95-th percentile35667.839
Maximum272422.29
Range272256.02
Interquartile range (IQR)2953.725

Descriptive statistics

Standard deviation45039.86
Coefficient of variation (CV)3.5657337
Kurtosis31.109052
Mean12631.302
Median Absolute Deviation (MAD)1555.83
Skewness5.4434022
Sum492620.79
Variance2.028589 × 109
MonotonicityNot monotonic
2024-04-06T20:01:44.553204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
29844.99 1
 
0.8%
885.33 1
 
0.8%
3802.71 1
 
0.8%
2347.38 1
 
0.8%
3111.69 1
 
0.8%
5204.0 1
 
0.8%
3609.1 1
 
0.8%
2254.36 1
 
0.8%
1181.84 1
 
0.8%
565.17 1
 
0.8%
Other values (29) 29
 
24.2%
(Missing) 81
67.5%
ValueCountFrequency (%)
166.27 1
0.8%
220.1 1
0.8%
492.48 1
0.8%
565.17 1
0.8%
655.72 1
0.8%
744.06 1
0.8%
885.33 1
0.8%
897.07 1
0.8%
1181.84 1
0.8%
1184.92 1
0.8%
ValueCountFrequency (%)
272422.29 1
0.8%
88073.48 1
0.8%
29844.99 1
0.8%
8227.67 1
0.8%
8219.2 1
0.8%
6868.78 1
0.8%
6423.62 1
0.8%
5204.0 1
0.8%
4805.57 1
0.8%
4483.32 1
0.8%

소재지우편번호
Text

MISSING 

Distinct27
Distinct (%)84.4%
Missing88
Missing (%)73.3%
Memory size1.1 KiB
2024-04-06T20:01:44.900503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0625
Min length6

Characters and Unicode

Total characters194
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

Unique22 ?
Unique (%)68.8%

Sample

1st row135091
2nd row135-881
3rd row135896
4th row135894
5th row135092
ValueCountFrequency (%)
135934 2
 
6.2%
135847 2
 
6.2%
135091 2
 
6.2%
135825 2
 
6.2%
135081 2
 
6.2%
135857 1
 
3.1%
135826 1
 
3.1%
135876 1
 
3.1%
135924 1
 
3.1%
135957 1
 
3.1%
Other values (17) 17
53.1%
2024-04-06T20:01:45.441429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 41
21.1%
5 38
19.6%
3 36
18.6%
8 23
11.9%
9 13
 
6.7%
0 11
 
5.7%
4 10
 
5.2%
2 7
 
3.6%
6 7
 
3.6%
7 6
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 192
99.0%
Dash Punctuation 2
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 41
21.4%
5 38
19.8%
3 36
18.8%
8 23
12.0%
9 13
 
6.8%
0 11
 
5.7%
4 10
 
5.2%
2 7
 
3.6%
6 7
 
3.6%
7 6
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 194
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 41
21.1%
5 38
19.6%
3 36
18.6%
8 23
11.9%
9 13
 
6.7%
0 11
 
5.7%
4 10
 
5.2%
2 7
 
3.6%
6 7
 
3.6%
7 6
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 194
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 41
21.1%
5 38
19.6%
3 36
18.6%
8 23
11.9%
9 13
 
6.7%
0 11
 
5.7%
4 10
 
5.2%
2 7
 
3.6%
6 7
 
3.6%
7 6
 
3.1%

지번주소
Text

MISSING 

Distinct93
Distinct (%)97.9%
Missing25
Missing (%)20.8%
Memory size1.1 KiB
2024-04-06T20:01:45.855322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length37
Mean length26.673684
Min length8

Characters and Unicode

Total characters2534
Distinct characters128
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

Unique91 ?
Unique (%)95.8%

Sample

1st row서울특별시 강남구 역삼동 718번지 35호 한서병원
2nd row삼성1동 171-1
3rd row서울특별시 강남구 도곡동 146-92 강남세브란스병원
4th row서울특별시 강남구 역삼동 650-9 강남차병원
5th row서울특별시 강남구 역삼동 648번지 22호
ValueCountFrequency (%)
서울특별시 88
 
17.2%
강남구 88
 
17.2%
논현동 22
 
4.3%
신사동 12
 
2.3%
삼성동 10
 
2.0%
청담동 9
 
1.8%
역삼동 9
 
1.8%
대치동 8
 
1.6%
도곡동 7
 
1.4%
7호 4
 
0.8%
Other values (203) 255
49.8%
2024-04-06T20:01:46.479575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
421
 
16.6%
1 124
 
4.9%
동 96
 
3.8%
강 92
 
3.6%
남 92
 
3.6%
서 91
 
3.6%
시 90
 
3.6%
구 89
 
3.5%
특 88
 
3.5%
별 88
 
3.5%
Other values (118) 1263
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1484
58.6%
Decimal Number 509
 
20.1%
Space Separator 421
 
16.6%
Other Punctuation 39
 
1.5%
Dash Punctuation 34
 
1.3%
Math Symbol 25
 
1.0%
Lowercase Letter 9
 
0.4%
Uppercase Letter 5
 
0.2%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 96
 
6.5%
강 92
 
6.2%
남 92
 
6.2%
서 91
 
6.1%
시 90
 
6.1%
구 89
 
6.0%
특 88
 
5.9%
별 88
 
5.9%
울 88
 
5.9%
층 83
 
5.6%
Other values (89) 587
39.6%
Decimal Number
ValueCountFrequency (%)
1 124
24.4%
2 78
15.3%
5 51
10.0%
7 45
 
8.8%
6 44
 
8.6%
3 43
 
8.4%
9 39
 
7.7%
4 39
 
7.7%
8 25
 
4.9%
0 21
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
e 1
11.1%
v 1
11.1%
i 1
11.1%
n 1
11.1%
a 1
11.1%
b 1
11.1%
h 1
11.1%
u 1
11.1%
r 1
11.1%
Uppercase Letter
ValueCountFrequency (%)
G 2
40.0%
B 2
40.0%
N 1
20.0%
Space Separator
ValueCountFrequency (%)
421
100.0%
Other Punctuation
ValueCountFrequency (%)
, 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Math Symbol
ValueCountFrequency (%)
~ 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1484
58.6%
Common 1034
40.8%
Latin 16
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 96
 
6.5%
강 92
 
6.2%
남 92
 
6.2%
서 91
 
6.1%
시 90
 
6.1%
구 89
 
6.0%
특 88
 
5.9%
별 88
 
5.9%
울 88
 
5.9%
층 83
 
5.6%
Other values (89) 587
39.6%
Common
ValueCountFrequency (%)
421
40.7%
1 124
 
12.0%
2 78
 
7.5%
5 51
 
4.9%
7 45
 
4.4%
6 44
 
4.3%
3 43
 
4.2%
9 39
 
3.8%
4 39
 
3.8%
, 39
 
3.8%
Other values (6) 111
 
10.7%
Latin
ValueCountFrequency (%)
G 2
12.5%
B 2
12.5%
Ⅲ 2
12.5%
e 1
 
6.2%
v 1
 
6.2%
i 1
 
6.2%
n 1
 
6.2%
a 1
 
6.2%
b 1
 
6.2%
h 1
 
6.2%
Other values (3) 3
18.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1484
58.6%
ASCII 1048
41.4%
Number Forms 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
421
40.2%
1 124
 
11.8%
2 78
 
7.4%
5 51
 
4.9%
7 45
 
4.3%
6 44
 
4.2%
3 43
 
4.1%
9 39
 
3.7%
4 39
 
3.7%
, 39
 
3.7%
Other values (18) 125
 
11.9%
Hangul
ValueCountFrequency (%)
동 96
 
6.5%
강 92
 
6.2%
남 92
 
6.2%
서 91
 
6.1%
시 90
 
6.1%
구 89
 
6.0%
특 88
 
5.9%
별 88
 
5.9%
울 88
 
5.9%
층 83
 
5.6%
Other values (89) 587
39.6%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
100.0%

도로명주소
Text

MISSING 

Distinct115
Distinct (%)99.1%
Missing4
Missing (%)3.3%
Memory size1.1 KiB
2024-04-06T20:01:46.947812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length47
Mean length36.12931
Min length23

Characters and Unicode

Total characters4191
Distinct characters176
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

Unique114 ?
Unique (%)98.3%

Sample

1st row서울특별시 강남구 논현로86길 21, 지하1층~4층 (역삼동)
2nd row서울특별시 강남구 언주로 211, 강남세브란스병원 (도곡동)
3rd row서울특별시 강남구 논현로 566, 강남차병원(역삼동650-9, 606-4, 605외2필지(지하7층~지하1층, 지상2층~7층)) (역삼동)
4th row서울특별시 강남구 테헤란로 125 (역삼동, 동찬빌딩)
5th row서울특별시 강남구 압구정로 304, 윤호병원 (지하1층,지하2층,1층~4층,7층) (신사동)
ValueCountFrequency (%)
서울특별시 116
 
15.1%
강남구 116
 
15.1%
논현동 27
 
3.5%
신사동 15
 
2.0%
역삼동 15
 
2.0%
삼성동 15
 
2.0%
대치동 11
 
1.4%
도곡동 11
 
1.4%
강남대로 10
 
1.3%
도산대로 10
 
1.3%
Other values (293) 421
54.9%
2024-04-06T20:01:47.634655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
653
 
15.6%
, 202
 
4.8%
층 159
 
3.8%
1 140
 
3.3%
동 138
 
3.3%
남 135
 
3.2%
강 131
 
3.1%
구 122
 
2.9%
서 121
 
2.9%
) 121
 
2.9%
Other values (166) 2269
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2350
56.1%
Space Separator 653
 
15.6%
Decimal Number 650
 
15.5%
Other Punctuation 202
 
4.8%
Close Punctuation 121
 
2.9%
Open Punctuation 121
 
2.9%
Math Symbol 59
 
1.4%
Uppercase Letter 18
 
0.4%
Lowercase Letter 9
 
0.2%
Dash Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 159
 
6.8%
동 138
 
5.9%
남 135
 
5.7%
강 131
 
5.6%
구 122
 
5.2%
서 121
 
5.1%
로 120
 
5.1%
시 118
 
5.0%
특 116
 
4.9%
별 116
 
4.9%
Other values (133) 1074
45.7%
Decimal Number
ValueCountFrequency (%)
1 140
21.5%
2 105
16.2%
4 68
10.5%
3 65
10.0%
6 62
9.5%
5 57
8.8%
7 53
 
8.2%
0 42
 
6.5%
9 30
 
4.6%
8 28
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
b 1
11.1%
n 1
11.1%
a 1
11.1%
u 1
11.1%
r 1
11.1%
h 1
11.1%
i 1
11.1%
v 1
11.1%
e 1
11.1%
Uppercase Letter
ValueCountFrequency (%)
B 10
55.6%
G 2
 
11.1%
K 2
 
11.1%
Y 1
 
5.6%
N 1
 
5.6%
F 1
 
5.6%
S 1
 
5.6%
Space Separator
ValueCountFrequency (%)
653
100.0%
Other Punctuation
ValueCountFrequency (%)
, 202
100.0%
Close Punctuation
ValueCountFrequency (%)
) 121
100.0%
Open Punctuation
ValueCountFrequency (%)
( 121
100.0%
Math Symbol
ValueCountFrequency (%)
~ 59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2350
56.1%
Common 1812
43.2%
Latin 29
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 159
 
6.8%
동 138
 
5.9%
남 135
 
5.7%
강 131
 
5.6%
구 122
 
5.2%
서 121
 
5.1%
로 120
 
5.1%
시 118
 
5.0%
특 116
 
4.9%
별 116
 
4.9%
Other values (133) 1074
45.7%
Latin
ValueCountFrequency (%)
B 10
34.5%
G 2
 
6.9%
K 2
 
6.9%
Ⅲ 2
 
6.9%
b 1
 
3.4%
n 1
 
3.4%
a 1
 
3.4%
Y 1
 
3.4%
u 1
 
3.4%
r 1
 
3.4%
Other values (7) 7
24.1%
Common
ValueCountFrequency (%)
653
36.0%
, 202
 
11.1%
1 140
 
7.7%
) 121
 
6.7%
( 121
 
6.7%
2 105
 
5.8%
4 68
 
3.8%
3 65
 
3.6%
6 62
 
3.4%
~ 59
 
3.3%
Other values (6) 216
 
11.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2350
56.1%
ASCII 1839
43.9%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
653
35.5%
, 202
 
11.0%
1 140
 
7.6%
) 121
 
6.6%
( 121
 
6.6%
2 105
 
5.7%
4 68
 
3.7%
3 65
 
3.5%
6 62
 
3.4%
~ 59
 
3.2%
Other values (22) 243
 
13.2%
Hangul
ValueCountFrequency (%)
층 159
 
6.8%
동 138
 
5.9%
남 135
 
5.7%
강 131
 
5.6%
구 122
 
5.2%
서 121
 
5.1%
로 120
 
5.1%
시 118
 
5.0%
특 116
 
4.9%
별 116
 
4.9%
Other values (133) 1074
45.7%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct89
Distinct (%)78.8%
Missing7
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean24510.062
Minimum6014
Maximum135960
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-06T20:01:47.879988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6014
5-th percentile6017.6
Q16061
median6150
Q36272
95-th percentile135884
Maximum135960
Range129946
Interquartile range (IQR)211

Descriptive statistics

Standard deviation45434.464
Coefficient of variation (CV)1.8537066
Kurtosis2.3842439
Mean24510.062
Median Absolute Deviation (MAD)102
Skewness2.0838231
Sum2769637
Variance2.0642905 × 109
MonotonicityNot monotonic
2024-04-06T20:01:48.115136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6017 4
 
3.3%
6232 4
 
3.3%
6272 3
 
2.5%
6084 3
 
2.5%
135884 2
 
1.7%
6048 2
 
1.7%
6035 2
 
1.7%
6055 2
 
1.7%
135878 2
 
1.7%
6014 2
 
1.7%
Other values (79) 87
72.5%
(Missing) 7
 
5.8%
ValueCountFrequency (%)
6014 2
1.7%
6017 4
3.3%
6018 2
1.7%
6022 1
 
0.8%
6023 2
1.7%
6024 1
 
0.8%
6025 1
 
0.8%
6026 1
 
0.8%
6035 2
1.7%
6038 1
 
0.8%
ValueCountFrequency (%)
135960 1
0.8%
135957 1
0.8%
135953 1
0.8%
135934 1
0.8%
135894 1
0.8%
135884 2
1.7%
135878 2
1.7%
135877 1
0.8%
135860 1
0.8%
135857 1
0.8%

사업장명
Text

Distinct117
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-06T20:01:48.557506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length7.3666667
Min length3

Characters and Unicode

Total characters884
Distinct characters178
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)95.0%

Sample

1st row(사) 대한사회복지회 한서병원
2nd row서울특별시 서울의료원
3rd row연세대학교의과대학 강남세브란스병원
4th row차의과학대학교 강남차병원
5th row청아치과병원
ValueCountFrequency (%)
광혜병원 2
 
1.6%
지앤지병원 2
 
1.6%
예치과병원 2
 
1.6%
청담해리슨병원 1
 
0.8%
무이재한방병원 1
 
0.8%
담소유병원 1
 
0.8%
청담병원 1
 
0.8%
의료법인참예원의료재단강남구립행복요양병원 1
 
0.8%
이솝한방병원 1
 
0.8%
그랜드성형외과병원 1
 
0.8%
Other values (114) 114
89.8%
2024-04-06T20:01:49.556248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 123
 
13.9%
병 118
 
13.3%
과 43
 
4.9%
치 34
 
3.8%
한 24
 
2.7%
이 23
 
2.6%
스 19
 
2.1%
강 18
 
2.0%
남 17
 
1.9%
방 15
 
1.7%
Other values (168) 450
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 871
98.5%
Space Separator 7
 
0.8%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 123
 
14.1%
병 118
 
13.5%
과 43
 
4.9%
치 34
 
3.9%
한 24
 
2.8%
이 23
 
2.6%
스 19
 
2.2%
강 18
 
2.1%
남 17
 
2.0%
방 15
 
1.7%
Other values (163) 437
50.2%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 871
98.5%
Common 13
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 123
 
14.1%
병 118
 
13.5%
과 43
 
4.9%
치 34
 
3.9%
한 24
 
2.8%
이 23
 
2.6%
스 19
 
2.2%
강 18
 
2.1%
남 17
 
2.0%
방 15
 
1.7%
Other values (163) 437
50.2%
Common
ValueCountFrequency (%)
7
53.8%
) 2
 
15.4%
( 2
 
15.4%
1 1
 
7.7%
2 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 871
98.5%
ASCII 13
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 123
 
14.1%
병 118
 
13.5%
과 43
 
4.9%
치 34
 
3.9%
한 24
 
2.8%
이 23
 
2.6%
스 19
 
2.2%
강 18
 
2.1%
남 17
 
2.0%
방 15
 
1.7%
Other values (163) 437
50.2%
ASCII
ValueCountFrequency (%)
7
53.8%
) 2
 
15.4%
( 2
 
15.4%
1 1
 
7.7%
2 1
 
7.7%

최종수정일자
Date

UNIQUE 

Distinct120
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2011-03-10 17:46:32
Maximum2024-04-04 15:10:40
2024-04-06T20:01:49.778258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:01:50.015538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
U
86 
I
34 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 86
71.7%
I 34
 
28.3%

Length

2024-04-06T20:01:50.197439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:01:50.330299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 86
71.7%
i 34
 
28.3%

데이터갱신일자
Date

Distinct78
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-06T20:01:50.510170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:01:50.734767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct5
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
병원
57 
치과병원
33 
한방병원
15 
요양병원(일반요양병원)
10 
종합병원
 
5

Length

Max length12
Median length4
Mean length3.7166667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row병원
2nd row종합병원
3rd row종합병원
4th row종합병원
5th row치과병원

Common Values

ValueCountFrequency (%)
병원 57
47.5%
치과병원 33
27.5%
한방병원 15
 
12.5%
요양병원(일반요양병원) 10
 
8.3%
종합병원 5
 
4.2%

Length

2024-04-06T20:01:50.944238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:01:51.109554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 57
47.5%
치과병원 33
27.5%
한방병원 15
 
12.5%
요양병원(일반요양병원 10
 
8.3%
종합병원 5
 
4.2%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct99
Distinct (%)87.6%
Missing7
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean203842.81
Minimum201848.51
Maximum209093.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-06T20:01:51.304522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201848.51
5-th percentile202003.09
Q1202818.91
median203403.46
Q3204715.49
95-th percentile206562.46
Maximum209093.25
Range7244.7469
Interquartile range (IQR)1896.5834

Descriptive statistics

Standard deviation1573.2636
Coefficient of variation (CV)0.0077180239
Kurtosis3.0242877
Mean203842.81
Median Absolute Deviation (MAD)914.77338
Skewness1.5718234
Sum23034237
Variance2475158.5
MonotonicityNot monotonic
2024-04-06T20:01:51.527653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202462.604763481 4
 
3.3%
204457.767008807 3
 
2.5%
201978.302305104 2
 
1.7%
204588.76666642 2
 
1.7%
203711.024559394 2
 
1.7%
202834.56 2
 
1.7%
202862.486859172 2
 
1.7%
204796.528984474 2
 
1.7%
204855.579518894 2
 
1.7%
203388.051395369 2
 
1.7%
Other values (89) 90
75.0%
(Missing) 7
 
5.8%
ValueCountFrequency (%)
201848.507662396 1
0.8%
201850.617570581 1
0.8%
201903.35 1
0.8%
201976.62 1
0.8%
201978.302305104 2
1.7%
202019.609786891 1
0.8%
202070.164260035 1
0.8%
202080.711326615 1
0.8%
202121.293458771 1
0.8%
202144.774564087 1
0.8%
ValueCountFrequency (%)
209093.25454821 1
0.8%
209074.683259571 1
0.8%
209038.11869677 1
0.8%
208937.760652081 1
0.8%
208753.759247213 1
0.8%
207534.49462606 1
0.8%
205914.434349289 1
0.8%
205795.336726851 1
0.8%
205703.101076696 1
0.8%
205649.655013836 1
0.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct99
Distinct (%)87.6%
Missing7
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean445107.08
Minimum439891.16
Maximum447402.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-06T20:01:51.758959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439891.16
5-th percentile442573.35
Q1444120.79
median445314.64
Q3446412.37
95-th percentile447143.36
Maximum447402.3
Range7511.14
Interquartile range (IQR)2291.5758

Descriptive statistics

Standard deviation1598.0386
Coefficient of variation (CV)0.0035902341
Kurtosis0.53418446
Mean445107.08
Median Absolute Deviation (MAD)1163.6946
Skewness-0.85302425
Sum50297100
Variance2553727.4
MonotonicityNot monotonic
2024-04-06T20:01:52.110412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443960.186302868 4
 
3.3%
446164.986306256 3
 
2.5%
445117.888699555 2
 
1.7%
441203.290320686 2
 
1.7%
443376.829577467 2
 
1.7%
442871.185 2
 
1.7%
445090.465576824 2
 
1.7%
445378.716249213 2
 
1.7%
446576.858605648 2
 
1.7%
446619.586513596 2
 
1.7%
Other values (89) 90
75.0%
(Missing) 7
 
5.8%
ValueCountFrequency (%)
439891.159496907 1
0.8%
440475.244946303 1
0.8%
441203.290320686 2
1.7%
441608.09 1
0.8%
442530.69363817 1
0.8%
442601.789760193 1
0.8%
442602.524868873 1
0.8%
442871.185 2
1.7%
442873.588039887 1
0.8%
442920.565709708 1
0.8%
ValueCountFrequency (%)
447402.299460543 1
0.8%
447368.00014 1
0.8%
447360.980394068 1
0.8%
447277.855608463 1
0.8%
447221.69432852 1
0.8%
447189.395799605 1
0.8%
447112.669974234 1
0.8%
447058.234073349 1
0.8%
447041.856582807 2
1.7%
446995.463467909 1
0.8%

의료기관종별명
Categorical

Distinct6
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
73 
치과병원
22 
병원
19 
한방병원
 
3
요양병원(일반요양병원)
 
2

Length

Max length12
Median length4
Mean length3.8166667
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 73
60.8%
치과병원 22
 
18.3%
병원 19
 
15.8%
한방병원 3
 
2.5%
요양병원(일반요양병원) 2
 
1.7%
종합병원 1
 
0.8%

Length

2024-04-06T20:01:52.361666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:01:52.570267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 73
60.8%
치과병원 22
 
18.3%
병원 19
 
15.8%
한방병원 3
 
2.5%
요양병원(일반요양병원 2
 
1.7%
종합병원 1
 
0.8%

의료인수
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)51.1%
Missing73
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean10.425532
Minimum0
Maximum47
Zeros2
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-06T20:01:52.743707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q316.5
95-th percentile35.4
Maximum47
Range47
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation11.286284
Coefficient of variation (CV)1.0825619
Kurtosis2.342715
Mean10.425532
Median Absolute Deviation (MAD)5
Skewness1.6152848
Sum490
Variance127.3802
MonotonicityNot monotonic
2024-04-06T20:01:52.930239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 7
 
5.8%
4 6
 
5.0%
3 4
 
3.3%
6 3
 
2.5%
7 3
 
2.5%
22 2
 
1.7%
0 2
 
1.7%
19 2
 
1.7%
2 2
 
1.7%
11 2
 
1.7%
Other values (14) 14
 
11.7%
(Missing) 73
60.8%
ValueCountFrequency (%)
0 2
 
1.7%
1 7
5.8%
2 2
 
1.7%
3 4
3.3%
4 6
5.0%
5 1
 
0.8%
6 3
2.5%
7 3
2.5%
8 1
 
0.8%
9 1
 
0.8%
ValueCountFrequency (%)
47 1
0.8%
41 1
0.8%
39 1
0.8%
27 1
0.8%
25 1
0.8%
22 2
1.7%
21 1
0.8%
20 1
0.8%
19 2
1.7%
17 1
0.8%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)31.9%
Missing73
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean6.8297872
Minimum0
Maximum29
Zeros22
Zeros (%)18.3%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-06T20:01:53.143797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q311.5
95-th percentile22.8
Maximum29
Range29
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation8.0062996
Coefficient of variation (CV)1.1722619
Kurtosis0.66921852
Mean6.8297872
Median Absolute Deviation (MAD)5
Skewness1.0879888
Sum321
Variance64.100833
MonotonicityNot monotonic
2024-04-06T20:01:53.314049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 22
 
18.3%
9 5
 
4.2%
12 4
 
3.3%
11 2
 
1.7%
10 2
 
1.7%
14 2
 
1.7%
7 2
 
1.7%
15 1
 
0.8%
29 1
 
0.8%
19 1
 
0.8%
Other values (5) 5
 
4.2%
(Missing) 73
60.8%
ValueCountFrequency (%)
0 22
18.3%
4 1
 
0.8%
5 1
 
0.8%
7 2
 
1.7%
9 5
 
4.2%
10 2
 
1.7%
11 2
 
1.7%
12 4
 
3.3%
14 2
 
1.7%
15 1
 
0.8%
ValueCountFrequency (%)
29 1
 
0.8%
28 1
 
0.8%
24 1
 
0.8%
20 1
 
0.8%
19 1
 
0.8%
15 1
 
0.8%
14 2
1.7%
12 4
3.3%
11 2
1.7%
10 2
1.7%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)36.2%
Missing73
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean33.489362
Minimum0
Maximum500
Zeros20
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-06T20:01:53.503305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9
Q333.5
95-th percentile117.6
Maximum500
Range500
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation76.242711
Coefficient of variation (CV)2.2766248
Kurtosis31.668496
Mean33.489362
Median Absolute Deviation (MAD)9
Skewness5.2653611
Sum1574
Variance5812.951
MonotonicityNot monotonic
2024-04-06T20:01:53.680485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 20
 
16.7%
30 8
 
6.7%
50 2
 
1.7%
40 2
 
1.7%
7 2
 
1.7%
31 2
 
1.7%
45 1
 
0.8%
35 1
 
0.8%
131 1
 
0.8%
36 1
 
0.8%
Other values (7) 7
 
5.8%
(Missing) 73
60.8%
ValueCountFrequency (%)
0 20
16.7%
4 1
 
0.8%
7 2
 
1.7%
9 1
 
0.8%
30 8
 
6.7%
31 2
 
1.7%
32 1
 
0.8%
35 1
 
0.8%
36 1
 
0.8%
40 2
 
1.7%
ValueCountFrequency (%)
500 1
0.8%
131 1
0.8%
120 1
0.8%
112 1
0.8%
54 1
0.8%
50 2
1.7%
45 1
0.8%
40 2
1.7%
36 1
0.8%
35 1
0.8%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct46
Distinct (%)97.9%
Missing73
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean1645.9451
Minimum0
Maximum27170.57
Zeros2
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-06T20:01:53.883345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile160.5
Q1352.275
median846.07
Q31419.705
95-th percentile4246.747
Maximum27170.57
Range27170.57
Interquartile range (IQR)1067.43

Descriptive statistics

Standard deviation3972.3076
Coefficient of variation (CV)2.4133901
Kurtosis39.066733
Mean1645.9451
Median Absolute Deviation (MAD)533.29
Skewness6.0429567
Sum77359.42
Variance15779228
MonotonicityNot monotonic
2024-04-06T20:01:54.112406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.0 2
 
1.7%
936.0 1
 
0.8%
1095.13 1
 
0.8%
220.55 1
 
0.8%
1042.77 1
 
0.8%
336.27 1
 
0.8%
822.04 1
 
0.8%
593.22 1
 
0.8%
216.0 1
 
0.8%
1404.82 1
 
0.8%
Other values (36) 36
30.0%
(Missing) 73
60.8%
ValueCountFrequency (%)
0.0 2
1.7%
144.0 1
0.8%
199.0 1
0.8%
210.9 1
0.8%
216.0 1
0.8%
220.55 1
0.8%
228.0 1
0.8%
274.03 1
0.8%
289.29 1
0.8%
330.0 1
0.8%
ValueCountFrequency (%)
27170.57 1
0.8%
5843.43 1
0.8%
4365.88 1
0.8%
3968.77 1
0.8%
2395.1 1
0.8%
2372.14 1
0.8%
1752.8 1
0.8%
1713.1 1
0.8%
1684.0 1
0.8%
1625.39 1
0.8%

진료과목내용
Text

MISSING 

Distinct34
Distinct (%)72.3%
Missing73
Missing (%)60.8%
Memory size1.1 KiB
2024-04-06T20:01:54.463192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length55
Mean length24.106383
Min length3

Characters and Unicode

Total characters1133
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

Unique29 ?
Unique (%)61.7%

Sample

1st row101 111 116 118
2nd row101 102 103 104 105 106 107 109 110 111 112 113 114 115 116 117 118 119 120 122 125
3rd row401
4th row411 410 409 408 407 406 405 404 403 402
5th row401
ValueCountFrequency (%)
101 17
 
5.8%
401 11
 
3.7%
109 11
 
3.7%
106 10
 
3.4%
122 10
 
3.4%
116 9
 
3.1%
120 9
 
3.1%
105 8
 
2.7%
405 7
 
2.4%
406 7
 
2.4%
Other values (42) 196
66.4%
2024-04-06T20:01:55.222476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
248
21.9%
1 245
21.6%
0 236
20.8%
2 114
10.1%
4 103
9.1%
3 51
 
4.5%
6 36
 
3.2%
5 32
 
2.8%
8 25
 
2.2%
9 24
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 885
78.1%
Space Separator 248
 
21.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 245
27.7%
0 236
26.7%
2 114
12.9%
4 103
11.6%
3 51
 
5.8%
6 36
 
4.1%
5 32
 
3.6%
8 25
 
2.8%
9 24
 
2.7%
7 19
 
2.1%
Space Separator
ValueCountFrequency (%)
248
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1133
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
248
21.9%
1 245
21.6%
0 236
20.8%
2 114
10.1%
4 103
9.1%
3 51
 
4.5%
6 36
 
3.2%
5 32
 
2.8%
8 25
 
2.2%
9 24
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1133
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
248
21.9%
1 245
21.6%
0 236
20.8%
2 114
10.1%
4 103
9.1%
3 51
 
4.5%
6 36
 
3.2%
5 32
 
2.8%
8 25
 
2.2%
9 24
 
2.1%

진료과목내용명
Text

MISSING 

Distinct32
Distinct (%)68.1%
Missing73
Missing (%)60.8%
Memory size1.1 KiB
2024-04-06T20:01:55.569197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length135
Median length76
Mean length39.680851
Min length2

Characters and Unicode

Total characters1865
Distinct characters64
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

Unique26 ?
Unique (%)55.3%

Sample

1st row내과, 소아청소년과, 영상의학과, 병리과
2nd row내과, 신경과, 정신건강의학과, 외과, 정형외과, 신경외과, 흉부외과, 마취통증의학과, 산부인과, 소아청소년과, 안과, 이비인후과, 피부과, 비뇨의학과, 영상의학과, 방사선종양학과, 병리과, 진단검사의학과, 재활의학과, 가정의학과, 응급의학과
3rd row치과
4th row구강악안면외과, 치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강내과, 영상치의학과, 구강병리과, 예방치과
5th row치과
ValueCountFrequency (%)
내과 17
 
5.8%
치과보철과 13
 
4.4%
치과교정과 13
 
4.4%
소아치과 13
 
4.4%
치주과 13
 
4.4%
치과보존과 13
 
4.4%
구강내과 13
 
4.4%
구강악안면외과 13
 
4.4%
치과 11
 
3.7%
마취통증의학과 11
 
3.7%
Other values (33) 165
55.9%
2024-04-06T20:01:56.224758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 334
17.9%
248
 
13.3%
, 248
 
13.3%
치 92
 
4.9%
학 64
 
3.4%
의 63
 
3.4%
강 48
 
2.6%
구 46
 
2.5%
외 44
 
2.4%
정 39
 
2.1%
Other values (54) 639
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1363
73.1%
Other Punctuation 254
 
13.6%
Space Separator 248
 
13.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 334
24.5%
치 92
 
6.7%
학 64
 
4.7%
의 63
 
4.6%
강 48
 
3.5%
구 46
 
3.4%
외 44
 
3.2%
정 39
 
2.9%
방 37
 
2.7%
내 33
 
2.4%
Other values (51) 563
41.3%
Other Punctuation
ValueCountFrequency (%)
, 248
97.6%
? 6
 
2.4%
Space Separator
ValueCountFrequency (%)
248
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1363
73.1%
Common 502
 
26.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 334
24.5%
치 92
 
6.7%
학 64
 
4.7%
의 63
 
4.6%
강 48
 
3.5%
구 46
 
3.4%
외 44
 
3.2%
정 39
 
2.9%
방 37
 
2.7%
내 33
 
2.4%
Other values (51) 563
41.3%
Common
ValueCountFrequency (%)
248
49.4%
, 248
49.4%
? 6
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1363
73.1%
ASCII 502
 
26.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 334
24.5%
치 92
 
6.7%
학 64
 
4.7%
의 63
 
4.6%
강 48
 
3.5%
구 46
 
3.4%
외 44
 
3.2%
정 39
 
2.9%
방 37
 
2.7%
내 33
 
2.4%
Other values (51) 563
41.3%
ASCII
ValueCountFrequency (%)
248
49.4%
, 248
49.4%
? 6
 
1.2%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing120
Missing (%)100.0%
Memory size1.2 KiB

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing120
Missing (%)100.0%
Memory size1.2 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing120
Missing (%)100.0%
Memory size1.2 KiB

구급차특수
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
73 
0
47 

Length

Max length4
Median length4
Mean length2.825
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 73
60.8%
0 47
39.2%

Length

2024-04-06T20:01:56.478567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:01:56.677564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 73
60.8%
0 47
39.2%

구급차일반
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
73 
0
47 

Length

Max length4
Median length4
Mean length2.825
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 73
60.8%
0 47
39.2%

Length

2024-04-06T20:01:56.874460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:01:57.055962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 73
60.8%
0 47
39.2%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing120
Missing (%)100.0%
Memory size1.2 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing120
Missing (%)100.0%
Memory size1.2 KiB

허가병상수
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
73 
0
47 

Length

Max length4
Median length4
Mean length2.825
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 73
60.8%
0 47
39.2%

Length

2024-04-06T20:01:57.294189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:01:57.500896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 73
60.8%
0 47
39.2%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing120
Missing (%)100.0%
Memory size1.2 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03220000PHMA21980322003302120000119800705<NA>3폐업3폐업20121205<NA><NA><NA>555-5851<NA><NA>서울특별시 강남구 역삼동 718번지 35호 한서병원서울특별시 강남구 논현로86길 21, 지하1층~4층 (역삼동)6220(사) 대한사회복지회 한서병원2018-07-04 13:30:49I2018-08-31 23:59:59.0병원203394.530457444235.2902병원4030969.3101 111 116 118내과, 소아청소년과, 영상의학과, 병리과<NA><NA><NA>00<NA><NA>0<NA>
13220000PHMA21983322003302120000119830126<NA>3폐업3폐업20110312<NA><NA><NA>5193-114<NA>135091삼성1동 171-1<NA><NA>서울특별시 서울의료원2011-03-10 17:46:32I2018-08-31 23:59:59.0종합병원<NA><NA>종합병원0050027170.57101 102 103 104 105 106 107 109 110 111 112 113 114 115 116 117 118 119 120 122 125내과, 신경과, 정신건강의학과, 외과, 정형외과, 신경외과, 흉부외과, 마취통증의학과, 산부인과, 소아청소년과, 안과, 이비인후과, 피부과, 비뇨의학과, 영상의학과, 방사선종양학과, 병리과, 진단검사의학과, 재활의학과, 가정의학과, 응급의학과<NA><NA><NA>00<NA><NA>0<NA>
23220000PHMA2198332200330212000021983-04-04<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2019-311488073.48<NA>서울특별시 강남구 도곡동 146-92 강남세브란스병원서울특별시 강남구 언주로 211, 강남세브란스병원 (도곡동)6273연세대학교의과대학 강남세브란스병원2024-02-01 17:14:20U2023-12-02 00:03:00.0종합병원204044.915103443372.921667<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33220000PHMA2199032200330212000011990-10-22<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3468-300029844.99<NA>서울특별시 강남구 역삼동 650-9 강남차병원서울특별시 강남구 논현로 566, 강남차병원(역삼동650-9, 606-4, 605외2필지(지하7층~지하1층, 지상2층~7층)) (역삼동)6135차의과학대학교 강남차병원2023-11-07 09:29:49U2022-11-01 00:09:00.0종합병원202979.308817444965.788566<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43220000PHMA21990322003302120000219901222<NA>3폐업3폐업20180603<NA><NA><NA>02-556-6836<NA><NA>서울특별시 강남구 역삼동 648번지 22호서울특별시 강남구 테헤란로 125 (역삼동, 동찬빌딩)6133청아치과병원2018-06-14 15:09:58I2018-08-31 23:59:59.0치과병원202731.24444156.6치과병원200417.42401치과<NA><NA><NA>00<NA><NA>0<NA>
53220000PHMA21992322003302120000119920715<NA>1영업/정상13영업중<NA><NA><NA><NA>02-512-0500<NA><NA>서울특별시 강남구 신사동 638-1 윤호병원서울특별시 강남구 압구정로 304, 윤호병원 (지하1층,지하2층,1층~4층,7층) (신사동)6017윤호병원2022-09-25 15:38:25U2021-12-08 22:07:00.0병원202969.639103447402.299461<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63220000PHMA2199332200330212000011993-12-28<NA>3폐업3폐업2017-01-01<NA><NA><NA>02-3467-38003244.18<NA><NA>서울특별시 강남구 도곡로 452-452 (대치동, 미즈메디병원)6279미즈메디병원2023-10-20 16:21:29U2022-10-30 22:02:00.0병원<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73220000PHMA21994322003302120000119940317<NA>1영업/정상13영업중<NA><NA><NA><NA>545-7775<NA><NA>서울특별시 강남구 신사동 623서울특별시 강남구 언주로165길 5, 3~4층 (신사동)6023서울치과병원2022-12-16 13:11:45U2021-11-01 23:08:00.0치과병원202818.908707447058.234073<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83220000PHMA2199432200330212000021994-04-25<NA>1영업/정상13영업중<NA><NA><NA><NA>2222-4888<NA>135-881서울특별시 강남구 삼성1동 161번지서울특별시 강남구 봉은사로 612 (삼성동)6170(의)가산의료재단 광동병원2023-06-02 14:09:09U2022-12-06 00:04:00.0병원205423.286315445783.294826<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93220000PHMA2199432200330212000031994-06-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3410-2114272422.29<NA>서울특별시 강남구 일원동 50번지서울특별시 강남구 일원로 81 (일원동, 삼성의료원)6351삼성서울병원2024-03-23 08:18:00U2023-12-02 22:05:00.0종합병원207534.494626442943.860447<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
1103220000PHMA22021322003302120000320210531<NA>1영업/정상13영업중<NA><NA><NA><NA>1577-0212<NA><NA>서울특별시 강남구 논현동 55-3 새로운병원빌딩 지하1층일부~7층서울특별시 강남구 학동로 121, 새로운병원빌딩 지하1층일부~7층 (논현동)6044새로운병원2021-05-31 09:03:44I2021-06-02 00:22:55.0병원202080.711327445562.134435병원199301625.39126 122 120 119 116 115 114 113 111 110 109 107 106 105 104 102 101내과, 신경과, 외과, 정형외과, 신경외과, 흉부외과, 마취통증의학과, 산부인과, 소아청소년과, 이비인후과, 피부과, 비뇨의학과, 영상의학과, 진단검사의학과, 재활의학과, 가정의학과, 예방의학과<NA><NA><NA>00<NA><NA>0<NA>
1113220000PHMA2202132200330212000042021-08-31<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1833-22802098.9<NA><NA>서울특별시 강남구 압구정로30길 45, 2~4층 (신사동)6022두발로병원2024-01-10 10:25:18U2023-11-30 23:02:00.0병원202530.184769446900.961207<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1123220000PHMA2202132200330212000052021-09-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-575-51146868.78<NA><NA>서울특별시 강남구 헌릉로569길 21-40, 지하3~4층, 지하2층일부, 지하1층일부, 지상1층일부, 지상2~8층 (세곡동)6376네이처요양병원2024-02-12 14:57:02U2023-12-01 23:04:00.0요양병원(일반요양병원)208753.759247440475.244946<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1133220000PHMA2202232200330212000012022-02-04<NA>3폐업3폐업2023-02-15<NA><NA><NA>02-6205-1075<NA><NA><NA>서울특별시 강남구 도산대로 121, YK타워 (신사동)6035다이트한방병원2023-02-04 19:25:56U2022-12-02 00:06:00.0한방병원<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1143220000PHMA2202232200330212000022022-02-28<NA>1영업/정상13영업중<NA><NA><NA><NA>-1661-1177<NA><NA><NA>서울특별시 강남구 선릉로 404, 더드림병원 (대치동)6198강남더드림병원2023-04-21 09:57:13U2022-12-03 22:03:00.0병원<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1153220000PHMA22022322003302120000320220527<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1800-7544<NA><NA>서울특별시 강남구 역삼동 825 미진프라자서울특별시 강남구 강남대로 390, 미진프라자 3층 (역삼동)6232립샘한방병원2022-11-18 09:31:11U2021-10-31 22:00:00.0한방병원202462.604763443960.186303<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1163220000PHMA22022322003302120000420220808<NA>3폐업3폐업20221213<NA><NA><NA>02-6203-9000<NA><NA>서울특별시 강남구 삼성동 52-17 마디빌딩서울특별시 강남구 삼성로 646, 마디빌딩 (삼성동)6084청담이룸병원2022-12-13 11:29:24U2021-11-01 23:05:00.0병원204457.767009446164.986306<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1173220000PHMA2202232200330212000052022-11-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1899-1209<NA><NA>서울특별시 강남구 논현동 54-4서울특별시 강남구 학동로 117, B1~9F층 (논현동)6044무이재한방병원2023-07-13 10:40:48U2022-12-06 23:05:00.0한방병원202019.609787445542.159862<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1183220000PHMA2202332200330212000012023-07-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-333-88012687.55<NA>서울특별시 강남구 삼성동 52-17 마디빌딩 지하3층~지하1층,2층~9층서울특별시 강남구 삼성로 646, 마디빌딩 B3~B1,2~9층 (삼성동)6084청담해리슨병원2023-09-04 11:16:47U2022-12-09 00:06:00.0병원204457.767009446164.986306<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1193220000PHMA2202332200330212000022023-09-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1600-29592783.69<NA>서울특별시 강남구 논현동 94-22 카로시티Ⅲ서울특별시 강남구 선릉로 751, 카로시티Ⅲ 지하1층, 지상1층~7층 (논현동)6055모두가행복한연세병원2023-12-11 17:49:21U2022-11-01 23:03:00.0병원203388.051395446619.586514<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>