Overview

Dataset statistics

Number of variables41
Number of observations64
Missing cells1082
Missing cells (%)41.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.9 KiB
Average record size in memory351.1 B

Variable types

Categorical11
Text9
DateTime6
Unsupported8
Numeric7

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),의료기관종별명,의료인수,입원실수,병상수,총면적,진료과목내용,진료과목내용명,지정취소일자,완화의료지정형태,완화의료담당부서명,구급차특수,구급차일반,총인원,구조사수,허가병상수,최초지정일자
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-16182/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 64 (100.0%) missing valuesMissing
폐업일자 has 44 (68.8%) missing valuesMissing
휴업시작일자 has 60 (93.8%) missing valuesMissing
휴업종료일자 has 60 (93.8%) missing valuesMissing
재개업일자 has 64 (100.0%) missing valuesMissing
전화번호 has 5 (7.8%) missing valuesMissing
소재지면적 has 22 (34.4%) missing valuesMissing
소재지우편번호 has 49 (76.6%) missing valuesMissing
지번주소 has 21 (32.8%) missing valuesMissing
도로명주소 has 3 (4.7%) missing valuesMissing
도로명우편번호 has 4 (6.2%) missing valuesMissing
좌표정보(X) has 7 (10.9%) missing valuesMissing
좌표정보(Y) has 7 (10.9%) missing valuesMissing
의료인수 has 48 (75.0%) missing valuesMissing
입원실수 has 48 (75.0%) missing valuesMissing
병상수 has 48 (75.0%) missing valuesMissing
총면적 has 48 (75.0%) missing valuesMissing
진료과목내용 has 48 (75.0%) missing valuesMissing
진료과목내용명 has 48 (75.0%) missing valuesMissing
지정취소일자 has 64 (100.0%) missing valuesMissing
완화의료지정형태 has 64 (100.0%) missing valuesMissing
완화의료담당부서명 has 64 (100.0%) missing valuesMissing
총인원 has 64 (100.0%) missing valuesMissing
구조사수 has 64 (100.0%) missing valuesMissing
최초지정일자 has 64 (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
입원실수 has 7 (10.9%) zerosZeros
병상수 has 3 (4.7%) zerosZeros

Reproduction

Analysis started2024-05-11 06:55:13.620719
Analysis finished2024-05-11 06:55:14.572021
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
3230000
64 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 64
100.0%

Length

2024-05-11T15:55:14.674580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:55:14.803930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 64
100.0%

관리번호
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2024-05-11T15:55:15.055537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters1600
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

Unique64 ?
Unique (%)100.0%

Sample

1st rowPHMA219713230034021201559
2nd rowPHMA219823230034021201567
3rd rowPHMA219893230034021201574
4th rowPHMA219923230034021201570
5th rowPHMA219933230034021201562
ValueCountFrequency (%)
phma219713230034021201559 1
 
1.6%
phma219823230034021201567 1
 
1.6%
phma220193230034021200001 1
 
1.6%
phma220143230034021200001 1
 
1.6%
phma220143230034021200002 1
 
1.6%
phma220143230034021200003 1
 
1.6%
phma220143230034021200004 1
 
1.6%
phma220143230034021200005 1
 
1.6%
phma220153230034021200001 1
 
1.6%
phma220153230034021200002 1
 
1.6%
Other values (54) 54
84.4%
2024-05-11T15:55:15.518820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 455
28.4%
2 345
21.6%
3 206
12.9%
1 149
 
9.3%
4 78
 
4.9%
P 64
 
4.0%
H 64
 
4.0%
M 64
 
4.0%
A 64
 
4.0%
5 37
 
2.3%
Other values (4) 74
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1344
84.0%
Uppercase Letter 256
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 455
33.9%
2 345
25.7%
3 206
15.3%
1 149
 
11.1%
4 78
 
5.8%
5 37
 
2.8%
9 31
 
2.3%
7 16
 
1.2%
6 16
 
1.2%
8 11
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
P 64
25.0%
H 64
25.0%
M 64
25.0%
A 64
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1344
84.0%
Latin 256
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 455
33.9%
2 345
25.7%
3 206
15.3%
1 149
 
11.1%
4 78
 
5.8%
5 37
 
2.8%
9 31
 
2.3%
7 16
 
1.2%
6 16
 
1.2%
8 11
 
0.8%
Latin
ValueCountFrequency (%)
P 64
25.0%
H 64
25.0%
M 64
25.0%
A 64
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 455
28.4%
2 345
21.6%
3 206
12.9%
1 149
 
9.3%
4 78
 
4.9%
P 64
 
4.0%
H 64
 
4.0%
M 64
 
4.0%
A 64
 
4.0%
5 37
 
2.3%
Other values (4) 74
 
4.6%

인허가일자
Date

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
Minimum1971-02-20 00:00:00
Maximum2023-10-05 00:00:00
2024-05-11T15:55:15.721727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:55:15.911811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B
Distinct3
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size644.0 B
1
42 
3
20 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 42
65.6%
3 20
31.2%
2 2
 
3.1%

Length

2024-05-11T15:55:16.228050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:55:16.417268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 42
65.6%
3 20
31.2%
2 2
 
3.1%

영업상태명
Categorical

Distinct3
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size644.0 B
영업/정상
42 
폐업
20 
휴업
 
2

Length

Max length5
Median length5
Mean length3.96875
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 42
65.6%
폐업 20
31.2%
휴업 2
 
3.1%

Length

2024-05-11T15:55:16.594733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:55:16.765122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 42
65.6%
폐업 20
31.2%
휴업 2
 
3.1%
Distinct3
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size644.0 B
13
42 
3
20 
2
 
2

Length

Max length2
Median length2
Mean length1.65625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 42
65.6%
3 20
31.2%
2 2
 
3.1%

Length

2024-05-11T15:55:16.962571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:55:17.145108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 42
65.6%
3 20
31.2%
2 2
 
3.1%
Distinct3
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size644.0 B
영업중
42 
폐업
20 
휴업
 
2

Length

Max length3
Median length3
Mean length2.65625
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 42
65.6%
폐업 20
31.2%
휴업 2
 
3.1%

Length

2024-05-11T15:55:17.307284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:55:17.792626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 42
65.6%
폐업 20
31.2%
휴업 2
 
3.1%

폐업일자
Date

MISSING 

Distinct20
Distinct (%)100.0%
Missing44
Missing (%)68.8%
Memory size644.0 B
Minimum2009-02-28 00:00:00
Maximum2023-12-11 00:00:00
2024-05-11T15:55:17.995279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:55:18.186413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

휴업시작일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing60
Missing (%)93.8%
Memory size644.0 B
Minimum2009-02-02 00:00:00
Maximum2023-04-30 00:00:00
2024-05-11T15:55:18.344508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:55:18.551576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

휴업종료일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing60
Missing (%)93.8%
Memory size644.0 B
Minimum2009-04-30 00:00:00
Maximum2025-12-31 00:00:00
2024-05-11T15:55:18.722483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:55:18.866333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

전화번호
Text

MISSING 

Distinct57
Distinct (%)96.6%
Missing5
Missing (%)7.8%
Memory size644.0 B
2024-05-11T15:55:19.231527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.254237
Min length8

Characters and Unicode

Total characters664
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

Unique55 ?
Unique (%)93.2%

Sample

1st row02-3400-1114
2nd row02-414-7754
3rd row02-3010-3114
4th row02-425-3451
5th row02-443-7575
ValueCountFrequency (%)
02-407-7700 2
 
3.4%
02-3401-2211 2
 
3.4%
02-6223-8275 1
 
1.7%
02-3432-8269 1
 
1.7%
02-1533-1755 1
 
1.7%
02-2202-2080 1
 
1.7%
02-3400-1114 1
 
1.7%
02-1899-8580 1
 
1.7%
02-403-7585 1
 
1.7%
02-6907-2021 1
 
1.7%
Other values (47) 47
79.7%
2024-05-11T15:55:19.849073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 125
18.8%
2 120
18.1%
- 112
16.9%
1 65
9.8%
4 49
 
7.4%
3 42
 
6.3%
5 38
 
5.7%
7 32
 
4.8%
8 31
 
4.7%
9 29
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 552
83.1%
Dash Punctuation 112
 
16.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 125
22.6%
2 120
21.7%
1 65
11.8%
4 49
 
8.9%
3 42
 
7.6%
5 38
 
6.9%
7 32
 
5.8%
8 31
 
5.6%
9 29
 
5.3%
6 21
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 664
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 125
18.8%
2 120
18.1%
- 112
16.9%
1 65
9.8%
4 49
 
7.4%
3 42
 
6.3%
5 38
 
5.7%
7 32
 
4.8%
8 31
 
4.7%
9 29
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 664
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 125
18.8%
2 120
18.1%
- 112
16.9%
1 65
9.8%
4 49
 
7.4%
3 42
 
6.3%
5 38
 
5.7%
7 32
 
4.8%
8 31
 
4.7%
9 29
 
4.4%

소재지면적
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)100.0%
Missing22
Missing (%)34.4%
Infinite0
Infinite (%)0.0%
Mean16580.45
Minimum958.25
Maximum547445.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-05-11T15:55:20.048565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum958.25
5-th percentile1454.344
Q12117.6425
median2534.875
Q33424.75
95-th percentile8561.568
Maximum547445.04
Range546486.79
Interquartile range (IQR)1307.1075

Descriptive statistics

Standard deviation84029.022
Coefficient of variation (CV)5.0679577
Kurtosis41.748947
Mean16580.45
Median Absolute Deviation (MAD)626.36
Skewness6.4531567
Sum696378.92
Variance7.0608765 × 109
MonotonicityNot monotonic
2024-05-11T15:55:20.254651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
6253.54 1
 
1.6%
2183.89 1
 
1.6%
4921.19 1
 
1.6%
3259.99 1
 
1.6%
1950.6 1
 
1.6%
4471.31 1
 
1.6%
4307.51 1
 
1.6%
2119.57 1
 
1.6%
1442.23 1
 
1.6%
2636.3 1
 
1.6%
Other values (32) 32
50.0%
(Missing) 22
34.4%
ValueCountFrequency (%)
958.25 1
1.6%
1049.22 1
1.6%
1442.23 1
1.6%
1684.51 1
1.6%
1689.26 1
1.6%
1713.49 1
1.6%
1788.0 1
1.6%
1950.6 1
1.6%
2011.89 1
1.6%
2082.53 1
1.6%
ValueCountFrequency (%)
547445.04 1
1.6%
29876.5 1
1.6%
8646.01 1
1.6%
6957.17 1
1.6%
6253.54 1
1.6%
5419.71 1
1.6%
4921.19 1
1.6%
4471.31 1
1.6%
4307.51 1
1.6%
3867.8 1
1.6%

소재지우편번호
Text

MISSING 

Distinct12
Distinct (%)80.0%
Missing49
Missing (%)76.6%
Memory size644.0 B
2024-05-11T15:55:20.526549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1333333
Min length6

Characters and Unicode

Total characters92
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

Unique10 ?
Unique (%)66.7%

Sample

1st row138180
2nd row138170
3rd row138-130
4th row138120
5th row138915
ValueCountFrequency (%)
138180 3
20.0%
138170 2
13.3%
138-130 1
 
6.7%
138120 1
 
6.7%
138915 1
 
6.7%
138160 1
 
6.7%
138-171 1
 
6.7%
138110 1
 
6.7%
138801 1
 
6.7%
138814 1
 
6.7%
Other values (2) 2
13.3%
2024-05-11T15:55:21.051378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 30
32.6%
8 21
22.8%
3 16
17.4%
0 12
 
13.0%
2 4
 
4.3%
7 3
 
3.3%
- 2
 
2.2%
9 1
 
1.1%
5 1
 
1.1%
6 1
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90
97.8%
Dash Punctuation 2
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 30
33.3%
8 21
23.3%
3 16
17.8%
0 12
 
13.3%
2 4
 
4.4%
7 3
 
3.3%
9 1
 
1.1%
5 1
 
1.1%
6 1
 
1.1%
4 1
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 92
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 30
32.6%
8 21
22.8%
3 16
17.4%
0 12
 
13.0%
2 4
 
4.3%
7 3
 
3.3%
- 2
 
2.2%
9 1
 
1.1%
5 1
 
1.1%
6 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 92
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 30
32.6%
8 21
22.8%
3 16
17.4%
0 12
 
13.0%
2 4
 
4.3%
7 3
 
3.3%
- 2
 
2.2%
9 1
 
1.1%
5 1
 
1.1%
6 1
 
1.1%

지번주소
Text

MISSING 

Distinct43
Distinct (%)100.0%
Missing21
Missing (%)32.8%
Memory size644.0 B
2024-05-11T15:55:21.567072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length31
Mean length26.023256
Min length17

Characters and Unicode

Total characters1119
Distinct characters107
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)100.0%

Sample

1st row서울특별시 송파구 삼전동 9번지 3,4,10호
2nd row서울특별시 송파구 풍납동 388번지 1호 서울아산병원
3rd row서울특별시 송파구 송파동 20번지 8호
4th row서울특별시 송파구 문정동 17-5 인애가한방병원
5th row서울특별시 송파구 오금동 77번지 16호
ValueCountFrequency (%)
서울특별시 43
 
18.5%
송파구 43
 
18.5%
가락동 9
 
3.9%
삼전동 5
 
2.1%
3호 5
 
2.1%
7호 4
 
1.7%
오금동 4
 
1.7%
1호 4
 
1.7%
송파동 4
 
1.7%
20번지 4
 
1.7%
Other values (89) 108
46.4%
2024-05-11T15:55:22.317861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
191
 
17.1%
51
 
4.6%
50
 
4.5%
45
 
4.0%
45
 
4.0%
44
 
3.9%
43
 
3.8%
43
 
3.8%
43
 
3.8%
43
 
3.8%
Other values (97) 521
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 710
63.4%
Space Separator 191
 
17.1%
Decimal Number 184
 
16.4%
Dash Punctuation 12
 
1.1%
Other Punctuation 10
 
0.9%
Math Symbol 7
 
0.6%
Uppercase Letter 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
51
 
7.2%
50
 
7.0%
45
 
6.3%
45
 
6.3%
44
 
6.2%
43
 
6.1%
43
 
6.1%
43
 
6.1%
43
 
6.1%
40
 
5.6%
Other values (79) 263
37.0%
Decimal Number
ValueCountFrequency (%)
1 34
18.5%
2 23
12.5%
3 20
10.9%
0 20
10.9%
7 20
10.9%
5 17
9.2%
6 16
8.7%
4 15
8.2%
8 12
 
6.5%
9 7
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
L 2
40.0%
S 1
20.0%
B 1
20.0%
H 1
20.0%
Space Separator
ValueCountFrequency (%)
191
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 710
63.4%
Common 404
36.1%
Latin 5
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
51
 
7.2%
50
 
7.0%
45
 
6.3%
45
 
6.3%
44
 
6.2%
43
 
6.1%
43
 
6.1%
43
 
6.1%
43
 
6.1%
40
 
5.6%
Other values (79) 263
37.0%
Common
ValueCountFrequency (%)
191
47.3%
1 34
 
8.4%
2 23
 
5.7%
3 20
 
5.0%
0 20
 
5.0%
7 20
 
5.0%
5 17
 
4.2%
6 16
 
4.0%
4 15
 
3.7%
8 12
 
3.0%
Other values (4) 36
 
8.9%
Latin
ValueCountFrequency (%)
L 2
40.0%
S 1
20.0%
B 1
20.0%
H 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 710
63.4%
ASCII 409
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
191
46.7%
1 34
 
8.3%
2 23
 
5.6%
3 20
 
4.9%
0 20
 
4.9%
7 20
 
4.9%
5 17
 
4.2%
6 16
 
3.9%
4 15
 
3.7%
8 12
 
2.9%
Other values (8) 41
 
10.0%
Hangul
ValueCountFrequency (%)
51
 
7.2%
50
 
7.0%
45
 
6.3%
45
 
6.3%
44
 
6.2%
43
 
6.1%
43
 
6.1%
43
 
6.1%
43
 
6.1%
40
 
5.6%
Other values (79) 263
37.0%

도로명주소
Text

MISSING 

Distinct60
Distinct (%)98.4%
Missing3
Missing (%)4.7%
Memory size644.0 B
2024-05-11T15:55:22.785895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length40
Mean length32.836066
Min length22

Characters and Unicode

Total characters2003
Distinct characters162
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)96.7%

Sample

1st row서울특별시 송파구 송이로 123, 국립경찰병원 (가락동)
2nd row서울특별시 송파구 올림픽로43길 88, 서울아산병원 (풍납동)
3rd row서울특별시 송파구 문정로 65, 인애가한방병원 1,2,4,5,6층 (문정동)
4th row서울특별시 송파구 마천로15길 6 (오금동)
5th row서울특별시 송파구 올림픽로 289, 3층 (신천동)
ValueCountFrequency (%)
서울특별시 61
 
16.1%
송파구 61
 
16.1%
가락동 14
 
3.7%
송이로 9
 
2.4%
백제고분로 9
 
2.4%
오금로 8
 
2.1%
삼전동 6
 
1.6%
올림픽로 6
 
1.6%
문정동 6
 
1.6%
잠실동 5
 
1.3%
Other values (147) 194
51.2%
2024-05-11T15:55:23.599837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
318
 
15.9%
79
 
3.9%
, 75
 
3.7%
72
 
3.6%
68
 
3.4%
65
 
3.2%
63
 
3.1%
) 62
 
3.1%
62
 
3.1%
61
 
3.0%
Other values (152) 1078
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1196
59.7%
Space Separator 318
 
15.9%
Decimal Number 261
 
13.0%
Other Punctuation 75
 
3.7%
Close Punctuation 62
 
3.1%
Open Punctuation 61
 
3.0%
Math Symbol 19
 
0.9%
Uppercase Letter 8
 
0.4%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
79
 
6.6%
72
 
6.0%
68
 
5.7%
65
 
5.4%
63
 
5.3%
62
 
5.2%
61
 
5.1%
61
 
5.1%
61
 
5.1%
61
 
5.1%
Other values (129) 543
45.4%
Decimal Number
ValueCountFrequency (%)
1 51
19.5%
2 44
16.9%
5 26
10.0%
6 26
10.0%
8 25
9.6%
4 23
8.8%
3 22
8.4%
7 18
 
6.9%
0 16
 
6.1%
9 10
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
L 2
25.0%
G 1
12.5%
S 1
12.5%
D 1
12.5%
K 1
12.5%
H 1
12.5%
B 1
12.5%
Space Separator
ValueCountFrequency (%)
318
100.0%
Other Punctuation
ValueCountFrequency (%)
, 75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1196
59.7%
Common 799
39.9%
Latin 8
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
79
 
6.6%
72
 
6.0%
68
 
5.7%
65
 
5.4%
63
 
5.3%
62
 
5.2%
61
 
5.1%
61
 
5.1%
61
 
5.1%
61
 
5.1%
Other values (129) 543
45.4%
Common
ValueCountFrequency (%)
318
39.8%
, 75
 
9.4%
) 62
 
7.8%
( 61
 
7.6%
1 51
 
6.4%
2 44
 
5.5%
5 26
 
3.3%
6 26
 
3.3%
8 25
 
3.1%
4 23
 
2.9%
Other values (6) 88
 
11.0%
Latin
ValueCountFrequency (%)
L 2
25.0%
G 1
12.5%
S 1
12.5%
D 1
12.5%
K 1
12.5%
H 1
12.5%
B 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1196
59.7%
ASCII 807
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
318
39.4%
, 75
 
9.3%
) 62
 
7.7%
( 61
 
7.6%
1 51
 
6.3%
2 44
 
5.5%
5 26
 
3.2%
6 26
 
3.2%
8 25
 
3.1%
4 23
 
2.9%
Other values (13) 96
 
11.9%
Hangul
ValueCountFrequency (%)
79
 
6.6%
72
 
6.0%
68
 
5.7%
65
 
5.4%
63
 
5.3%
62
 
5.2%
61
 
5.1%
61
 
5.1%
61
 
5.1%
61
 
5.1%
Other values (129) 543
45.4%

도로명우편번호
Text

MISSING 

Distinct47
Distinct (%)78.3%
Missing4
Missing (%)6.2%
Memory size644.0 B
2024-05-11T15:55:23.995446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1666667
Min length5

Characters and Unicode

Total characters310
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

Unique38 ?
Unique (%)63.3%

Sample

1st row05715
2nd row05505
3rd row05797
4th row138-858
5th row05510
ValueCountFrequency (%)
05829 4
 
6.7%
05836 3
 
5.0%
05510 3
 
5.0%
05790 2
 
3.3%
05700 2
 
3.3%
138841 2
 
3.3%
05737 2
 
3.3%
05621 2
 
3.3%
05706 2
 
3.3%
05555 1
 
1.7%
Other values (37) 37
61.7%
2024-05-11T15:55:24.709157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 78
25.2%
0 69
22.3%
8 33
10.6%
1 26
 
8.4%
3 24
 
7.7%
7 24
 
7.7%
6 20
 
6.5%
2 14
 
4.5%
9 11
 
3.5%
4 10
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 309
99.7%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 78
25.2%
0 69
22.3%
8 33
10.7%
1 26
 
8.4%
3 24
 
7.8%
7 24
 
7.8%
6 20
 
6.5%
2 14
 
4.5%
9 11
 
3.6%
4 10
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 310
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 78
25.2%
0 69
22.3%
8 33
10.6%
1 26
 
8.4%
3 24
 
7.7%
7 24
 
7.7%
6 20
 
6.5%
2 14
 
4.5%
9 11
 
3.5%
4 10
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 310
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 78
25.2%
0 69
22.3%
8 33
10.6%
1 26
 
8.4%
3 24
 
7.7%
7 24
 
7.7%
6 20
 
6.5%
2 14
 
4.5%
9 11
 
3.5%
4 10
 
3.2%
Distinct62
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size644.0 B
2024-05-11T15:55:25.126710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length7.71875
Min length4

Characters and Unicode

Total characters494
Distinct characters135
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

Unique60 ?
Unique (%)93.8%

Sample

1st row경찰병원
2nd row잠실병원
3rd row재단법인아산사회복지재단 서울아산병원
4th row경원대부속서울한방병원
5th row의료법인일맥의료재단 송파인애가한방병원
ValueCountFrequency (%)
선수촌병원 2
 
2.9%
의료법인일맥의료재단 2
 
2.9%
굿조인트병원 2
 
2.9%
강남푸른숲한방병원 1
 
1.5%
오쿨리한방병원 1
 
1.5%
연세우리병원 1
 
1.5%
리워크병원 1
 
1.5%
경찰병원 1
 
1.5%
송파미소병원 1
 
1.5%
더사랑요양병원 1
 
1.5%
Other values (55) 55
80.9%
2024-05-11T15:55:25.866041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
67
 
13.6%
64
 
13.0%
15
 
3.0%
13
 
2.6%
13
 
2.6%
13
 
2.6%
12
 
2.4%
12
 
2.4%
12
 
2.4%
11
 
2.2%
Other values (125) 262
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 487
98.6%
Space Separator 4
 
0.8%
Decimal Number 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
67
 
13.8%
64
 
13.1%
15
 
3.1%
13
 
2.7%
13
 
2.7%
13
 
2.7%
12
 
2.5%
12
 
2.5%
12
 
2.5%
11
 
2.3%
Other values (121) 255
52.4%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
5 1
33.3%
6 1
33.3%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 487
98.6%
Common 7
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
67
 
13.8%
64
 
13.1%
15
 
3.1%
13
 
2.7%
13
 
2.7%
13
 
2.7%
12
 
2.5%
12
 
2.5%
12
 
2.5%
11
 
2.3%
Other values (121) 255
52.4%
Common
ValueCountFrequency (%)
4
57.1%
3 1
 
14.3%
5 1
 
14.3%
6 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 487
98.6%
ASCII 7
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
67
 
13.8%
64
 
13.1%
15
 
3.1%
13
 
2.7%
13
 
2.7%
13
 
2.7%
12
 
2.5%
12
 
2.5%
12
 
2.5%
11
 
2.3%
Other values (121) 255
52.4%
ASCII
ValueCountFrequency (%)
4
57.1%
3 1
 
14.3%
5 1
 
14.3%
6 1
 
14.3%

최종수정일자
Date

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
Minimum2009-03-03 17:38:51
Maximum2024-05-09 18:21:04
2024-05-11T15:55:26.122851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:55:26.380391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
U
51 
I
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 51
79.7%
I 13
 
20.3%

Length

2024-05-11T15:55:26.610414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:55:26.799698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 51
79.7%
i 13
 
20.3%
Distinct28
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Memory size644.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T15:55:26.947485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:55:27.168039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

업태구분명
Categorical

Distinct7
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size644.0 B
병원
29 
요양병원(일반요양병원)
13 
한방병원
12 
치과병원
종합병원
 
2
Other values (2)
 
2

Length

Max length12
Median length10
Mean length4.8125
Min length2

Unique

Unique2 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
병원 29
45.3%
요양병원(일반요양병원) 13
20.3%
한방병원 12
18.8%
치과병원 6
 
9.4%
종합병원 2
 
3.1%
요양병원(노인병원) 1
 
1.6%
정신병원 1
 
1.6%

Length

2024-05-11T15:55:27.391963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:55:27.566566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 29
45.3%
요양병원(일반요양병원 13
20.3%
한방병원 12
18.8%
치과병원 6
 
9.4%
종합병원 2
 
3.1%
요양병원(노인병원 1
 
1.6%
정신병원 1
 
1.6%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)82.5%
Missing7
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean210272.63
Minimum206916.76
Maximum212953.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-05-11T15:55:27.810244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206916.76
5-th percentile207552.78
Q1208994.02
median210574.04
Q3211044.2
95-th percentile212831.03
Maximum212953.21
Range6036.4519
Interquartile range (IQR)2050.1831

Descriptive statistics

Standard deviation1659.7935
Coefficient of variation (CV)0.0078935309
Kurtosis-0.77076411
Mean210272.63
Median Absolute Deviation (MAD)1278.6698
Skewness-0.16584861
Sum11985540
Variance2754914.4
MonotonicityNot monotonic
2024-05-11T15:55:28.131683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
212831.033281342 3
 
4.7%
208426.169119403 2
 
3.1%
212511.655622483 2
 
3.1%
210574.037898234 2
 
3.1%
212643.860107402 2
 
3.1%
206916.75835 2
 
3.1%
211044.201099765 2
 
3.1%
209627.926977957 2
 
3.1%
210736.904409143 2
 
3.1%
209993.650236547 1
 
1.6%
Other values (37) 37
57.8%
(Missing) 7
 
10.9%
ValueCountFrequency (%)
206916.75835 2
3.1%
207548.241064687 1
1.6%
207553.918225133 1
1.6%
207625.449032462 1
1.6%
207649.560634469 1
1.6%
208267.150895889 1
1.6%
208426.169119403 2
3.1%
208477.775692904 1
1.6%
208589.363343145 1
1.6%
208596.024749829 1
1.6%
ValueCountFrequency (%)
212953.210261522 1
 
1.6%
212831.033281342 3
4.7%
212643.860107402 2
3.1%
212587.48325656 1
 
1.6%
212568.79253158 1
 
1.6%
212511.655622483 2
3.1%
212081.527971261 1
 
1.6%
211904.841771888 1
 
1.6%
211457.817185708 1
 
1.6%
211382.026862476 1
 
1.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)82.5%
Missing7
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean444524.19
Minimum441725.29
Maximum447960.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-05-11T15:55:28.418026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441725.29
5-th percentile442781.04
Q1443841.34
median444447.68
Q3445070.33
95-th percentile446172.19
Maximum447960.01
Range6234.7138
Interquartile range (IQR)1228.9946

Descriptive statistics

Standard deviation1137.4113
Coefficient of variation (CV)0.0025587163
Kurtosis1.5231698
Mean444524.19
Median Absolute Deviation (MAD)622.65048
Skewness0.62618615
Sum25337879
Variance1293704.5
MonotonicityNot monotonic
2024-05-11T15:55:28.667864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
443457.104592042 3
 
4.7%
444447.682227261 2
 
3.1%
442722.371081852 2
 
3.1%
444069.184552292 2
 
3.1%
444170.320122251 2
 
3.1%
445485.4447736 2
 
3.1%
444104.194597019 2
 
3.1%
445033.492693013 2
 
3.1%
443841.338101311 2
 
3.1%
445282.210026105 1
 
1.6%
Other values (37) 37
57.8%
(Missing) 7
 
10.9%
ValueCountFrequency (%)
441725.293491662 1
 
1.6%
442722.371081852 2
3.1%
442795.708066717 1
 
1.6%
443267.228806217 1
 
1.6%
443429.781369679 1
 
1.6%
443457.104592042 3
4.7%
443458.701668372 1
 
1.6%
443483.209201758 1
 
1.6%
443517.490003737 1
 
1.6%
443519.750532142 1
 
1.6%
ValueCountFrequency (%)
447960.007314417 1
1.6%
447594.355412552 1
1.6%
447120.577229325 1
1.6%
445935.092530909 1
1.6%
445905.025545443 1
1.6%
445826.545566831 1
1.6%
445587.289579829 1
1.6%
445505.258585544 1
1.6%
445485.4447736 2
3.1%
445455.90405262 1
1.6%
Distinct6
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
48 
병원
치과병원
 
3
요양병원(일반요양병원)
 
3
한방병원
 
2

Length

Max length12
Median length4
Mean length4.25
Min length2

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
75.0%
병원 7
 
10.9%
치과병원 3
 
4.7%
요양병원(일반요양병원) 3
 
4.7%
한방병원 2
 
3.1%
요양병원(노인병원) 1
 
1.6%

Length

2024-05-11T15:55:28.909031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:55:29.106172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
75.0%
병원 7
 
10.9%
치과병원 3
 
4.7%
요양병원(일반요양병원 3
 
4.7%
한방병원 2
 
3.1%
요양병원(노인병원 1
 
1.6%

의료인수
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)68.8%
Missing48
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean9.3125
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-05-11T15:55:29.272682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.75
median6
Q312.5
95-th percentile25.25
Maximum32
Range31
Interquartile range (IQR)9.75

Descriptive statistics

Standard deviation9.3717216
Coefficient of variation (CV)1.0063594
Kurtosis0.77176532
Mean9.3125
Median Absolute Deviation (MAD)4
Skewness1.2878825
Sum149
Variance87.829167
MonotonicityNot monotonic
2024-05-11T15:55:29.453005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 3
 
4.7%
4 2
 
3.1%
20 2
 
3.1%
7 2
 
3.1%
3 1
 
1.6%
2 1
 
1.6%
10 1
 
1.6%
32 1
 
1.6%
9 1
 
1.6%
23 1
 
1.6%
(Missing) 48
75.0%
ValueCountFrequency (%)
1 3
4.7%
2 1
 
1.6%
3 1
 
1.6%
4 2
3.1%
5 1
 
1.6%
7 2
3.1%
9 1
 
1.6%
10 1
 
1.6%
20 2
3.1%
23 1
 
1.6%
ValueCountFrequency (%)
32 1
1.6%
23 1
1.6%
20 2
3.1%
10 1
1.6%
9 1
1.6%
7 2
3.1%
5 1
1.6%
4 2
3.1%
3 1
1.6%
2 1
1.6%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)43.8%
Missing48
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean14.125
Minimum0
Maximum60
Zeros7
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-05-11T15:55:29.630736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9
Q316.25
95-th percentile60
Maximum60
Range60
Interquartile range (IQR)16.25

Descriptive statistics

Standard deviation19.643065
Coefficient of variation (CV)1.3906595
Kurtosis2.4144839
Mean14.125
Median Absolute Deviation (MAD)9
Skewness1.7425315
Sum226
Variance385.85
MonotonicityNot monotonic
2024-05-11T15:55:29.828230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 7
 
10.9%
16 3
 
4.7%
60 2
 
3.1%
23 1
 
1.6%
5 1
 
1.6%
17 1
 
1.6%
13 1
 
1.6%
(Missing) 48
75.0%
ValueCountFrequency (%)
0 7
10.9%
5 1
 
1.6%
13 1
 
1.6%
16 3
4.7%
17 1
 
1.6%
23 1
 
1.6%
60 2
 
3.1%
ValueCountFrequency (%)
60 2
 
3.1%
23 1
 
1.6%
17 1
 
1.6%
16 3
4.7%
13 1
 
1.6%
5 1
 
1.6%
0 7
10.9%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)81.2%
Missing48
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean81.4375
Minimum0
Maximum284
Zeros3
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-05-11T15:55:30.034954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q130
median61
Q3106.25
95-th percentile230
Maximum284
Range284
Interquartile range (IQR)76.25

Descriptive statistics

Standard deviation79.408621
Coefficient of variation (CV)0.97508668
Kurtosis1.6776006
Mean81.4375
Median Absolute Deviation (MAD)34.5
Skewness1.3552643
Sum1303
Variance6305.7292
MonotonicityNot monotonic
2024-05-11T15:55:30.220909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 3
 
4.7%
30 2
 
3.1%
212 1
 
1.6%
72 1
 
1.6%
60 1
 
1.6%
42 1
 
1.6%
41 1
 
1.6%
134 1
 
1.6%
94 1
 
1.6%
97 1
 
1.6%
Other values (3) 3
 
4.7%
(Missing) 48
75.0%
ValueCountFrequency (%)
0 3
4.7%
30 2
3.1%
41 1
 
1.6%
42 1
 
1.6%
60 1
 
1.6%
62 1
 
1.6%
72 1
 
1.6%
94 1
 
1.6%
97 1
 
1.6%
134 1
 
1.6%
ValueCountFrequency (%)
284 1
1.6%
212 1
1.6%
145 1
1.6%
134 1
1.6%
97 1
1.6%
94 1
1.6%
72 1
1.6%
62 1
1.6%
60 1
1.6%
42 1
1.6%

총면적
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)93.8%
Missing48
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean2183.9138
Minimum133.95
Maximum8646.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-05-11T15:55:30.444703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum133.95
5-th percentile147.15
Q1744.99
median1313.855
Q33032.7025
95-th percentile7166.14
Maximum8646.01
Range8512.06
Interquartile range (IQR)2287.7125

Descriptive statistics

Standard deviation2418.9186
Coefficient of variation (CV)1.1076072
Kurtosis2.7646653
Mean2183.9138
Median Absolute Deviation (MAD)1028.2
Skewness1.7650068
Sum34942.62
Variance5851167.4
MonotonicityNot monotonic
2024-05-11T15:55:30.625103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1404.12 2
 
3.1%
6672.85 1
 
1.6%
3666.13 1
 
1.6%
255.35 1
 
1.6%
1223.59 1
 
1.6%
133.95 1
 
1.6%
1180.74 1
 
1.6%
888.0 1
 
1.6%
2956.94 1
 
1.6%
151.55 1
 
1.6%
Other values (5) 5
 
7.8%
(Missing) 48
75.0%
ValueCountFrequency (%)
133.95 1
1.6%
151.55 1
1.6%
255.35 1
1.6%
315.96 1
1.6%
888.0 1
1.6%
1014.25 1
1.6%
1180.74 1
1.6%
1223.59 1
1.6%
1404.12 2
3.1%
1769.07 1
1.6%
ValueCountFrequency (%)
8646.01 1
1.6%
6672.85 1
1.6%
3666.13 1
1.6%
3259.99 1
1.6%
2956.94 1
1.6%
1769.07 1
1.6%
1404.12 2
3.1%
1223.59 1
1.6%
1180.74 1
1.6%
1014.25 1
1.6%

진료과목내용
Text

MISSING 

Distinct14
Distinct (%)87.5%
Missing48
Missing (%)75.0%
Memory size644.0 B
2024-05-11T15:55:30.911184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length43
Mean length29.5
Min length3

Characters and Unicode

Total characters472
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

Unique13 ?
Unique (%)81.2%

Sample

1st row101
2nd row101
3rd row101
4th row101 111 105 106 104 114 115 113 109
5th row101 201 204 207 210 202 205 208 203 206 209
ValueCountFrequency (%)
101 13
 
10.7%
105 9
 
7.4%
104 8
 
6.6%
122 7
 
5.7%
114 6
 
4.9%
109 6
 
4.9%
120 6
 
4.9%
106 5
 
4.1%
116 5
 
4.1%
102 4
 
3.3%
Other values (27) 53
43.4%
2024-05-11T15:55:31.480994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 139
29.4%
106
22.5%
0 87
18.4%
2 51
 
10.8%
4 20
 
4.2%
5 18
 
3.8%
3 18
 
3.8%
6 13
 
2.8%
9 10
 
2.1%
8 7
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 366
77.5%
Space Separator 106
 
22.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 139
38.0%
0 87
23.8%
2 51
 
13.9%
4 20
 
5.5%
5 18
 
4.9%
3 18
 
4.9%
6 13
 
3.6%
9 10
 
2.7%
8 7
 
1.9%
7 3
 
0.8%
Space Separator
ValueCountFrequency (%)
106
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 472
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 139
29.4%
106
22.5%
0 87
18.4%
2 51
 
10.8%
4 20
 
4.2%
5 18
 
3.8%
3 18
 
3.8%
6 13
 
2.8%
9 10
 
2.1%
8 7
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 472
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 139
29.4%
106
22.5%
0 87
18.4%
2 51
 
10.8%
4 20
 
4.2%
5 18
 
3.8%
3 18
 
3.8%
6 13
 
2.8%
9 10
 
2.1%
8 7
 
1.5%

진료과목내용명
Text

MISSING 

Distinct13
Distinct (%)81.2%
Missing48
Missing (%)75.0%
Memory size644.0 B
2024-05-11T15:55:31.852510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length70.5
Mean length46.0625
Min length2

Characters and Unicode

Total characters737
Distinct characters63
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

Unique11 ?
Unique (%)68.8%

Sample

1st row내과
2nd row내과
3rd row내과
4th row내과, 외과, 정형외과, 신경외과, 마취통증의학과, 소아청소년과, 이비인후과, 피부과, 비뇨의학과
5th row내과, 구강악안면외과, 치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강내과, 구강악안면방사선과, 구강병리과, 예방치과
ValueCountFrequency (%)
내과 13
 
10.8%
정형외과 9
 
7.5%
가정의학과 7
 
5.8%
외과 7
 
5.8%
마취통증의학과 6
 
5.0%
피부과 6
 
5.0%
재활의학과 6
 
5.0%
신경외과 5
 
4.2%
영상의학과 5
 
4.2%
비뇨의학과 4
 
3.3%
Other values (27) 52
43.3%
2024-05-11T15:55:32.519507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
126
17.1%
, 104
14.1%
104
14.1%
35
 
4.7%
35
 
4.7%
25
 
3.4%
19
 
2.6%
18
 
2.4%
13
 
1.8%
12
 
1.6%
Other values (53) 246
33.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 527
71.5%
Other Punctuation 106
 
14.4%
Space Separator 104
 
14.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
126
23.9%
35
 
6.6%
35
 
6.6%
25
 
4.7%
19
 
3.6%
18
 
3.4%
13
 
2.5%
12
 
2.3%
12
 
2.3%
11
 
2.1%
Other values (50) 221
41.9%
Other Punctuation
ValueCountFrequency (%)
, 104
98.1%
? 2
 
1.9%
Space Separator
ValueCountFrequency (%)
104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 527
71.5%
Common 210
 
28.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
126
23.9%
35
 
6.6%
35
 
6.6%
25
 
4.7%
19
 
3.6%
18
 
3.4%
13
 
2.5%
12
 
2.3%
12
 
2.3%
11
 
2.1%
Other values (50) 221
41.9%
Common
ValueCountFrequency (%)
, 104
49.5%
104
49.5%
? 2
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 527
71.5%
ASCII 210
 
28.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
126
23.9%
35
 
6.6%
35
 
6.6%
25
 
4.7%
19
 
3.6%
18
 
3.4%
13
 
2.5%
12
 
2.3%
12
 
2.3%
11
 
2.1%
Other values (50) 221
41.9%
ASCII
ValueCountFrequency (%)
, 104
49.5%
104
49.5%
? 2
 
1.0%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

구급차특수
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
48 
0
16 

Length

Max length4
Median length4
Mean length3.25
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
75.0%
0 16
 
25.0%

Length

2024-05-11T15:55:32.866665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:55:33.068913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
75.0%
0 16
 
25.0%

구급차일반
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
48 
0
16 

Length

Max length4
Median length4
Mean length3.25
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
75.0%
0 16
 
25.0%

Length

2024-05-11T15:55:33.630397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:55:33.804204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
75.0%
0 16
 
25.0%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

허가병상수
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
48 
0
16 

Length

Max length4
Median length4
Mean length3.25
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
75.0%
0 16
 
25.0%

Length

2024-05-11T15:55:33.984609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:55:34.176588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
75.0%
0 16
 
25.0%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03230000PHMA2197132300340212015591971-02-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3400-111429876.5<NA><NA>서울특별시 송파구 송이로 123, 국립경찰병원 (가락동)05715경찰병원2024-05-03 13:30:35U2023-12-05 00:05:00.0종합병원210849.897331443789.337035<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13230000PHMA21982323003402120156719820427<NA>3폐업3폐업200903302009020220090430<NA>02-414-7754<NA>138180서울특별시 송파구 삼전동 9번지 3,4,10호<NA><NA>잠실병원2014-12-15 14:23:28I2018-08-31 23:59:59.0병원<NA><NA>병원4602126672.85101내과<NA><NA><NA>00<NA><NA>0<NA>
23230000PHMA2198932300340212015741989-05-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3010-3114547445.04<NA>서울특별시 송파구 풍납동 388번지 1호 서울아산병원서울특별시 송파구 올림픽로43길 88, 서울아산병원 (풍납동)05505재단법인아산사회복지재단 서울아산병원2024-05-03 13:29:20U2023-12-05 00:05:00.0종합병원209607.590372447120.577229<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33230000PHMA21992323003402120157019921205<NA>3폐업3폐업20090228<NA><NA><NA>02-425-3451<NA>138170서울특별시 송파구 송파동 20번지 8호<NA><NA>경원대부속서울한방병원2009-03-03 17:38:51I2018-08-31 23:59:59.0한방병원<NA><NA>한방병원200723666.13101내과<NA><NA><NA>00<NA><NA>0<NA>
43230000PHMA2199332300340212015621993-01-09<NA>1영업/정상13영업중<NA><NA><NA><NA>02-443-7575958.25<NA>서울특별시 송파구 문정동 17-5 인애가한방병원서울특별시 송파구 문정로 65, 인애가한방병원 1,2,4,5,6층 (문정동)05797의료법인일맥의료재단 송파인애가한방병원2023-11-22 09:46:31U2022-10-31 22:04:00.0한방병원211382.026862442795.708067<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53230000PHMA2199632300340212015721996-05-08<NA>3폐업3폐업2011-10-19<NA><NA><NA>02-3401-2211<NA>138-130서울특별시 송파구 오금동 77번지 16호서울특별시 송파구 마천로15길 6 (오금동)138-858인애가한방병원2023-02-14 14:11:16U2022-12-01 23:06:00.0한방병원<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63230000PHMA21997323003402120157119971220<NA>3폐업3폐업20210210<NA><NA><NA>02-3432-0071<NA><NA><NA>서울특별시 송파구 올림픽로 289, 3층 (신천동)05510시그마치과병원2021-02-10 14:12:47U2021-02-12 02:40:00.0치과병원208994.017991445826.545567치과병원100255.35101내과<NA><NA><NA>00<NA><NA>0<NA>
73230000PHMA2199832300340212015571998-06-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-405-85006957.17<NA><NA>서울특별시 송파구 오금로 290 (가락동)05700서울병원2024-03-15 11:10:54U2023-12-02 23:07:00.0병원210957.431413444640.816146<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83230000PHMA21998323003402120156019981205<NA>3폐업3폐업20140124<NA><NA><NA>02-406-3580<NA>138120서울특별시 송파구 마천동 42번지 7호서울특별시 송파구 거마로 68 (마천동)138818의료법인장원의료재단송파성모병원2014-07-31 17:22:35I2018-08-31 23:59:59.0병원212953.210262444076.558907병원316601223.59101 111 105 106 104 114 115 113 109내과, 외과, 정형외과, 신경외과, 마취통증의학과, 소아청소년과, 이비인후과, 피부과, 비뇨의학과<NA><NA><NA>00<NA><NA>0<NA>
93230000PHMA2199832300340212015681998-03-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2147-60005419.71<NA>서울특별시 송파구 석촌동 174번지 13호 한솔병원서울특별시 송파구 송파대로 445, 한솔병원 (석촌동)05616한솔병원2024-05-01 11:11:30U2023-12-05 00:03:00.0병원209295.368139444879.115591<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
543230000PHMA2202132300340212000012021-02-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1670-91116253.54<NA>서울특별시 송파구 거여동 604 지하1층, 5~12층서울특별시 송파구 위례서로 248, 지하1층, 5~12층 (거여동)05790서울세계로병원2024-04-05 11:23:16U2023-12-04 00:07:00.0병원212511.655622442722.371082<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
553230000PHMA2202132300340212000022021-04-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-412-72722636.3<NA>서울특별시 송파구 방이동 160서울특별시 송파구 가락로 278, 지하1층~지상6층 (방이동)05635다나움요양병원2024-04-05 11:23:24U2023-12-04 00:07:00.0요양병원(일반요양병원)210527.998227445587.28958<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
563230000PHMA2202132300340212000032015-06-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-514-12492777.05<NA>서울특별시 송파구 가락동 2-5 재정빌딩서울특별시 송파구 오금로 296, 재정빌딩 지하1층~지상5층 (가락동)05700염창환병원2024-05-01 11:12:24U2023-12-05 00:03:00.0병원211005.302325444601.789928<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
573230000PHMA2202132300340212000042021-08-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-512-07501049.22<NA><NA>서울특별시 송파구 위례서로 248, 3층 일부, 4층 (거여동)05790365다시재한방병원2024-02-15 15:21:52U2023-12-01 23:07:00.0한방병원212511.655622442722.371082<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
583230000PHMA2202232300340212000012022-04-29<NA>1영업/정상13영업중<NA><NA><NA><NA>1899-59893411.94<NA>서울특별시 송파구 오금동 24-2 데코빌딩서울특별시 송파구 위례성대로22길 27, 데코빌딩 지하3층~4층층 (오금동)05655오쿨리한방병원2024-03-14 17:51:45U2023-12-02 23:06:00.0한방병원211457.817186445070.332711<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
593230000PHMA2202232300340212000022022-05-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-424-23402219.83<NA><NA>서울특별시 송파구 삼전로 42, 지하1~6층 (삼전동)05593강남푸른숲한방병원2024-04-09 16:09:45U2023-12-03 23:01:00.0한방병원207625.449032444492.597836<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
603230000PHMA2202232300340212000032022-10-28<NA>3폐업3폐업2023-12-11<NA><NA><NA>02-6223-82751689.26<NA>서울특별시 송파구 삼전동 72-2 SH타워 2~8층서울특별시 송파구 백제고분로 252, SH타워 2~8층 (삼전동)05584바른걸음병원2023-12-14 16:01:41U2022-11-01 23:06:00.0병원208267.150896444458.879184<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
613230000PHMA2202232300340212000042022-12-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-501-16522325.25<NA>서울특별시 송파구 가락동 48-3 지하2층~지상7층서울특별시 송파구 송이로 81, 지하2~지상7층 (가락동)05706리워크병원2024-04-12 11:20:38U2023-12-03 23:04:00.0병원210574.037898444069.184552<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
623230000PHMA2202232300340212000052022-12-22<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1533-17552364.01<NA><NA>서울특별시 송파구 백제고분로 185, 2~9층 (잠실동)05567연세우리병원2024-05-01 11:11:19U2023-12-05 00:03:00.0병원207649.560634444734.861107<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
633230000PHMA2202332300340212000012023-10-05<NA>1영업/정상13영업중<NA><NA><NA><NA>1811-62352433.45<NA>서울특별시 송파구 풍납동 269-3 지하1~지상5층서울특별시 송파구 토성로 20, 다보라 지하1~5층 (풍납동)05535동행한방병원2024-05-01 11:13:18U2023-12-05 00:03:00.0한방병원209893.622034447594.355413<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>