Overview

Dataset statistics

Number of variables41
Number of observations882
Missing cells14298
Missing cells (%)39.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory300.7 KiB
Average record size in memory349.1 B

Variable types

Numeric8
Text9
DateTime6
Unsupported8
Categorical10

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
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16479/S/1/datasetView.do

Alerts

영업상태코드 is highly imbalanced (52.9%)Imbalance
영업상태명 is highly imbalanced (52.9%)Imbalance
상세영업상태코드 is highly imbalanced (52.9%)Imbalance
상세영업상태명 is highly imbalanced (52.9%)Imbalance
인허가취소일자 has 882 (100.0%) missing valuesMissing
폐업일자 has 585 (66.3%) missing valuesMissing
휴업시작일자 has 854 (96.8%) missing valuesMissing
휴업종료일자 has 854 (96.8%) missing valuesMissing
재개업일자 has 882 (100.0%) missing valuesMissing
전화번호 has 36 (4.1%) missing valuesMissing
소재지면적 has 512 (58.0%) missing valuesMissing
소재지우편번호 has 596 (67.6%) missing valuesMissing
지번주소 has 190 (21.5%) missing valuesMissing
도로명주소 has 90 (10.2%) missing valuesMissing
도로명우편번호 has 117 (13.3%) missing valuesMissing
좌표정보(X) has 114 (12.9%) missing valuesMissing
좌표정보(Y) has 114 (12.9%) missing valuesMissing
의료인수 has 530 (60.1%) missing valuesMissing
입원실수 has 530 (60.1%) missing valuesMissing
병상수 has 530 (60.1%) missing valuesMissing
총면적 has 530 (60.1%) missing valuesMissing
진료과목내용 has 530 (60.1%) missing valuesMissing
진료과목내용명 has 530 (60.1%) missing valuesMissing
지정취소일자 has 882 (100.0%) missing valuesMissing
완화의료지정형태 has 882 (100.0%) missing valuesMissing
완화의료담당부서명 has 882 (100.0%) missing valuesMissing
총인원 has 882 (100.0%) missing valuesMissing
구조사수 has 882 (100.0%) missing valuesMissing
최초지정일자 has 882 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 32 (3.6%) zerosZeros
입원실수 has 114 (12.9%) zerosZeros
병상수 has 95 (10.8%) zerosZeros
총면적 has 29 (3.3%) zerosZeros

Reproduction

Analysis started2024-04-06 11:47:36.978610
Analysis finished2024-04-06 11:47:38.671571
Duration1.69 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3149036.3
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-04-06T20:47:38.774041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3030000
Q13090000
median3160000
Q33220000
95-th percentile3240000
Maximum3240000
Range240000
Interquartile range (IQR)130000

Descriptive statistics

Standard deviation70854.048
Coefficient of variation (CV)0.022500232
Kurtosis-1.0806106
Mean3149036.3
Median Absolute Deviation (MAD)60000
Skewness-0.43153376
Sum2.77745 × 109
Variance5.0202961 × 109
MonotonicityNot monotonic
2024-04-06T20:47:39.099151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3220000 120
 
13.6%
3180000 78
 
8.8%
3230000 64
 
7.3%
3240000 59
 
6.7%
3150000 54
 
6.1%
3210000 47
 
5.3%
3050000 44
 
5.0%
3110000 37
 
4.2%
3100000 36
 
4.1%
3160000 32
 
3.6%
Other values (15) 311
35.3%
ValueCountFrequency (%)
3000000 16
 
1.8%
3010000 17
 
1.9%
3020000 8
 
0.9%
3030000 22
2.5%
3040000 18
2.0%
3050000 44
5.0%
3060000 30
3.4%
3070000 26
2.9%
3080000 26
2.9%
3090000 26
2.9%
ValueCountFrequency (%)
3240000 59
6.7%
3230000 64
7.3%
3220000 120
13.6%
3210000 47
 
5.3%
3200000 27
 
3.1%
3190000 15
 
1.7%
3180000 78
8.8%
3170000 16
 
1.8%
3160000 32
 
3.6%
3150000 54
6.1%

관리번호
Text

UNIQUE 

Distinct882
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
2024-04-06T20:47:39.433679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters22050
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

Unique882 ?
Unique (%)100.0%

Sample

1st rowPHMA220073090033021200001
2nd rowPHMA220203060034021200001
3rd rowPHMA219983230034021201568
4th rowPHMA219833220033021200002
5th rowPHMA220223220033021200001
ValueCountFrequency (%)
phma220073090033021200001 1
 
0.1%
phma220193160034021200003 1
 
0.1%
phma220103160034021200001 1
 
0.1%
phma220013180034021200002 1
 
0.1%
phma220223080033021200001 1
 
0.1%
phma220223090033021200002 1
 
0.1%
phma220183160034021200002 1
 
0.1%
phma220143240033021200003 1
 
0.1%
phma220183160034021200001 1
 
0.1%
phma220143240033021200002 1
 
0.1%
Other values (872) 872
98.9%
2024-04-06T20:47:40.011831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7549
34.2%
2 4294
19.5%
3 2445
 
11.1%
1 2382
 
10.8%
P 882
 
4.0%
H 882
 
4.0%
M 882
 
4.0%
A 882
 
4.0%
4 614
 
2.8%
9 336
 
1.5%
Other values (4) 902
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18522
84.0%
Uppercase Letter 3528
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7549
40.8%
2 4294
23.2%
3 2445
 
13.2%
1 2382
 
12.9%
4 614
 
3.3%
9 336
 
1.8%
8 259
 
1.4%
5 250
 
1.3%
7 219
 
1.2%
6 174
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 882
25.0%
H 882
25.0%
M 882
25.0%
A 882
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18522
84.0%
Latin 3528
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7549
40.8%
2 4294
23.2%
3 2445
 
13.2%
1 2382
 
12.9%
4 614
 
3.3%
9 336
 
1.8%
8 259
 
1.4%
5 250
 
1.3%
7 219
 
1.2%
6 174
 
0.9%
Latin
ValueCountFrequency (%)
P 882
25.0%
H 882
25.0%
M 882
25.0%
A 882
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7549
34.2%
2 4294
19.5%
3 2445
 
11.1%
1 2382
 
10.8%
P 882
 
4.0%
H 882
 
4.0%
M 882
 
4.0%
A 882
 
4.0%
4 614
 
2.8%
9 336
 
1.5%
Other values (4) 902
 
4.1%
Distinct799
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
Minimum1900-01-01 00:00:00
Maximum2024-01-25 00:00:00
2024-04-06T20:47:40.319153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:47:40.590999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing882
Missing (%)100.0%
Memory size7.9 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
1
549 
3
316 
4
 
8
2
 
6
5
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 549
62.2%
3 316
35.8%
4 8
 
0.9%
2 6
 
0.7%
5 3
 
0.3%

Length

2024-04-06T20:47:40.848459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:47:41.038353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 549
62.2%
3 316
35.8%
4 8
 
0.9%
2 6
 
0.7%
5 3
 
0.3%

영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
영업/정상
549 
폐업
316 
취소/말소/만료/정지/중지
 
8
휴업
 
6
제외/삭제/전출
 
3

Length

Max length14
Median length5
Mean length3.9965986
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 549
62.2%
폐업 316
35.8%
취소/말소/만료/정지/중지 8
 
0.9%
휴업 6
 
0.7%
제외/삭제/전출 3
 
0.3%

Length

2024-04-06T20:47:41.246109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:47:41.466388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 549
62.2%
폐업 316
35.8%
취소/말소/만료/정지/중지 8
 
0.9%
휴업 6
 
0.7%
제외/삭제/전출 3
 
0.3%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
13
549 
3
316 
24
 
8
2
 
6
15
 
3

Length

Max length2
Median length2
Mean length1.6349206
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 549
62.2%
3 316
35.8%
24 8
 
0.9%
2 6
 
0.7%
15 3
 
0.3%

Length

2024-04-06T20:47:41.660582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:47:41.848490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 549
62.2%
3 316
35.8%
24 8
 
0.9%
2 6
 
0.7%
15 3
 
0.3%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
영업중
549 
폐업
316 
직권폐업
 
8
휴업
 
6
전출
 
3

Length

Max length4
Median length3
Mean length2.6405896
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 549
62.2%
폐업 316
35.8%
직권폐업 8
 
0.9%
휴업 6
 
0.7%
전출 3
 
0.3%

Length

2024-04-06T20:47:42.105217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:47:42.363688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 549
62.2%
폐업 316
35.8%
직권폐업 8
 
0.9%
휴업 6
 
0.7%
전출 3
 
0.3%

폐업일자
Date

MISSING 

Distinct280
Distinct (%)94.3%
Missing585
Missing (%)66.3%
Memory size7.0 KiB
Minimum2001-07-13 00:00:00
Maximum2024-03-29 00:00:00
2024-04-06T20:47:42.614665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:47:42.991491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct28
Distinct (%)100.0%
Missing854
Missing (%)96.8%
Memory size7.0 KiB
Minimum2009-02-02 00:00:00
Maximum2024-04-01 00:00:00
2024-04-06T20:47:43.227457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:47:43.430798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

휴업종료일자
Date

MISSING 

Distinct26
Distinct (%)92.9%
Missing854
Missing (%)96.8%
Memory size7.0 KiB
Minimum2009-04-30 00:00:00
Maximum2024-11-19 00:00:00
2024-04-06T20:47:43.630536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:47:43.812968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing882
Missing (%)100.0%
Memory size7.9 KiB

전화번호
Text

MISSING 

Distinct786
Distinct (%)92.9%
Missing36
Missing (%)4.1%
Memory size7.0 KiB
2024-04-06T20:47:44.274395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.833333
Min length8

Characters and Unicode

Total characters9165
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique744 ?
Unique (%)87.9%

Sample

1st row02-902-3294
2nd row02-2038-0100
3rd row02-2147-6000
4th row02-2019-3114
5th row02-6205-1075
ValueCountFrequency (%)
02-2634-7500 7
 
0.8%
02-2068-7577 5
 
0.6%
02-2635-2809 5
 
0.6%
02-841-0101 3
 
0.4%
02 3
 
0.4%
02-958-8114 3
 
0.4%
02-440-7114 3
 
0.4%
02-382-0075 3
 
0.4%
02-3663-9090 3
 
0.4%
02-845-0777 3
 
0.4%
Other values (780) 814
95.5%
2024-04-06T20:47:45.058535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1602
17.5%
- 1454
15.9%
2 1446
15.8%
1 795
8.7%
5 686
7.5%
7 613
 
6.7%
8 573
 
6.3%
3 533
 
5.8%
9 504
 
5.5%
6 485
 
5.3%
Other values (4) 474
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7700
84.0%
Dash Punctuation 1454
 
15.9%
Space Separator 6
 
0.1%
Math Symbol 4
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1602
20.8%
2 1446
18.8%
1 795
10.3%
5 686
8.9%
7 613
 
8.0%
8 573
 
7.4%
3 533
 
6.9%
9 504
 
6.5%
6 485
 
6.3%
4 463
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 1454
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9165
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1602
17.5%
- 1454
15.9%
2 1446
15.8%
1 795
8.7%
5 686
7.5%
7 613
 
6.7%
8 573
 
6.3%
3 533
 
5.8%
9 504
 
5.5%
6 485
 
5.3%
Other values (4) 474
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9165
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1602
17.5%
- 1454
15.9%
2 1446
15.8%
1 795
8.7%
5 686
7.5%
7 613
 
6.7%
8 573
 
6.3%
3 533
 
5.8%
9 504
 
5.5%
6 485
 
5.3%
Other values (4) 474
 
5.2%

소재지면적
Real number (ℝ)

MISSING 

Distinct370
Distinct (%)100.0%
Missing512
Missing (%)58.0%
Infinite0
Infinite (%)0.0%
Mean12831.209
Minimum155.8
Maximum547445.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-04-06T20:47:45.384155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum155.8
5-th percentile812.662
Q11951.7925
median3135.885
Q35621.7475
95-th percentile57591.967
Maximum547445.04
Range547289.24
Interquartile range (IQR)3669.955

Descriptive statistics

Standard deviation42602.75
Coefficient of variation (CV)3.3202445
Kurtosis78.482274
Mean12831.209
Median Absolute Deviation (MAD)1540.34
Skewness7.8062606
Sum4747547.2
Variance1.8149943 × 109
MonotonicityNot monotonic
2024-04-06T20:47:45.744447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1955.37 1
 
0.1%
3630.79 1
 
0.1%
4343.11 1
 
0.1%
6340.58 1
 
0.1%
5273.4 1
 
0.1%
13068.4 1
 
0.1%
1449.82 1
 
0.1%
9128.96 1
 
0.1%
3671.59 1
 
0.1%
3070.4 1
 
0.1%
Other values (360) 360
40.8%
(Missing) 512
58.0%
ValueCountFrequency (%)
155.8 1
0.1%
166.27 1
0.1%
220.1 1
0.1%
232.12 1
0.1%
238.92 1
0.1%
247.2 1
0.1%
380.53 1
0.1%
384.2 1
0.1%
487.94 1
0.1%
492.48 1
0.1%
ValueCountFrequency (%)
547445.04 1
0.1%
300677.02 1
0.1%
272422.29 1
0.1%
208866.63 1
0.1%
202988.0 1
0.1%
176891.01 1
0.1%
138964.24 1
0.1%
131353.8 1
0.1%
119879.53 1
0.1%
105041.37 1
0.1%

소재지우편번호
Text

MISSING 

Distinct250
Distinct (%)87.4%
Missing596
Missing (%)67.6%
Memory size7.0 KiB
2024-04-06T20:47:46.445431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2447552
Min length6

Characters and Unicode

Total characters1786
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

Unique219 ?
Unique (%)76.6%

Sample

1st row153-801
2nd row137-888
3rd row134-727
4th row158-857
5th row142-878
ValueCountFrequency (%)
139-816 3
 
1.0%
133850 3
 
1.0%
137820 3
 
1.0%
138180 3
 
1.0%
130110 3
 
1.0%
134011 2
 
0.7%
136817 2
 
0.7%
135091 2
 
0.7%
143916 2
 
0.7%
158840 2
 
0.7%
Other values (240) 261
91.3%
2024-04-06T20:47:47.363068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 417
23.3%
3 242
13.5%
8 223
12.5%
0 214
12.0%
5 155
 
8.7%
2 113
 
6.3%
4 106
 
5.9%
7 105
 
5.9%
9 72
 
4.0%
- 70
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1716
96.1%
Dash Punctuation 70
 
3.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 417
24.3%
3 242
14.1%
8 223
13.0%
0 214
12.5%
5 155
 
9.0%
2 113
 
6.6%
4 106
 
6.2%
7 105
 
6.1%
9 72
 
4.2%
6 69
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1786
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 417
23.3%
3 242
13.5%
8 223
12.5%
0 214
12.0%
5 155
 
8.7%
2 113
 
6.3%
4 106
 
5.9%
7 105
 
5.9%
9 72
 
4.0%
- 70
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1786
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 417
23.3%
3 242
13.5%
8 223
12.5%
0 214
12.0%
5 155
 
8.7%
2 113
 
6.3%
4 106
 
5.9%
7 105
 
5.9%
9 72
 
4.0%
- 70
 
3.9%

지번주소
Text

MISSING 

Distinct654
Distinct (%)94.5%
Missing190
Missing (%)21.5%
Memory size7.0 KiB
2024-04-06T20:47:48.000607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length48
Mean length26.021676
Min length8

Characters and Unicode

Total characters18007
Distinct characters355
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

Unique624 ?
Unique (%)90.2%

Sample

1st row서울특별시 도봉구 쌍문동 509번지 1호 백운빌딩
2nd row서울특별시 송파구 석촌동 174번지 13호 한솔병원
3rd row서울특별시 강남구 도곡동 146-92 강남세브란스병원
4th row서울특별시 금천구 가산동 151번지 36호
5th row서울특별시 송파구 가락동 48-3 지하2층~지상7층
ValueCountFrequency (%)
서울특별시 675
 
18.3%
강남구 88
 
2.4%
1호 64
 
1.7%
영등포구 59
 
1.6%
강서구 52
 
1.4%
송파구 44
 
1.2%
동대문구 43
 
1.2%
3호 41
 
1.1%
서초구 40
 
1.1%
강동구 40
 
1.1%
Other values (1282) 2535
68.9%
2024-04-06T20:47:48.874137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3058
 
17.0%
822
 
4.6%
819
 
4.5%
1 745
 
4.1%
719
 
4.0%
695
 
3.9%
694
 
3.9%
675
 
3.7%
675
 
3.7%
565
 
3.1%
Other values (345) 8540
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10742
59.7%
Decimal Number 3597
 
20.0%
Space Separator 3058
 
17.0%
Dash Punctuation 219
 
1.2%
Other Punctuation 198
 
1.1%
Math Symbol 78
 
0.4%
Uppercase Letter 46
 
0.3%
Open Punctuation 28
 
0.2%
Close Punctuation 28
 
0.2%
Lowercase Letter 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
822
 
7.7%
819
 
7.6%
719
 
6.7%
695
 
6.5%
694
 
6.5%
675
 
6.3%
675
 
6.3%
565
 
5.3%
476
 
4.4%
441
 
4.1%
Other values (296) 4161
38.7%
Uppercase Letter
ValueCountFrequency (%)
B 8
17.4%
S 4
 
8.7%
E 4
 
8.7%
R 3
 
6.5%
O 3
 
6.5%
G 3
 
6.5%
M 3
 
6.5%
K 2
 
4.3%
W 2
 
4.3%
C 2
 
4.3%
Other values (9) 12
26.1%
Lowercase Letter
ValueCountFrequency (%)
e 1
9.1%
u 1
9.1%
r 1
9.1%
b 1
9.1%
a 1
9.1%
n 1
9.1%
h 1
9.1%
i 1
9.1%
v 1
9.1%
m 1
9.1%
Decimal Number
ValueCountFrequency (%)
1 745
20.7%
2 483
13.4%
3 412
11.5%
4 361
10.0%
5 325
9.0%
6 317
8.8%
7 283
 
7.9%
0 244
 
6.8%
8 232
 
6.4%
9 195
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 188
94.9%
. 7
 
3.5%
/ 3
 
1.5%
Space Separator
ValueCountFrequency (%)
3058
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 219
100.0%
Math Symbol
ValueCountFrequency (%)
~ 78
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10742
59.7%
Common 7206
40.0%
Latin 59
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
822
 
7.7%
819
 
7.6%
719
 
6.7%
695
 
6.5%
694
 
6.5%
675
 
6.3%
675
 
6.3%
565
 
5.3%
476
 
4.4%
441
 
4.1%
Other values (296) 4161
38.7%
Latin
ValueCountFrequency (%)
B 8
 
13.6%
S 4
 
6.8%
E 4
 
6.8%
R 3
 
5.1%
O 3
 
5.1%
G 3
 
5.1%
M 3
 
5.1%
K 2
 
3.4%
2
 
3.4%
W 2
 
3.4%
Other values (21) 25
42.4%
Common
ValueCountFrequency (%)
3058
42.4%
1 745
 
10.3%
2 483
 
6.7%
3 412
 
5.7%
4 361
 
5.0%
5 325
 
4.5%
6 317
 
4.4%
7 283
 
3.9%
0 244
 
3.4%
8 232
 
3.2%
Other values (8) 746
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10742
59.7%
ASCII 7263
40.3%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3058
42.1%
1 745
 
10.3%
2 483
 
6.7%
3 412
 
5.7%
4 361
 
5.0%
5 325
 
4.5%
6 317
 
4.4%
7 283
 
3.9%
0 244
 
3.4%
8 232
 
3.2%
Other values (38) 803
 
11.1%
Hangul
ValueCountFrequency (%)
822
 
7.7%
819
 
7.6%
719
 
6.7%
695
 
6.5%
694
 
6.5%
675
 
6.3%
675
 
6.3%
565
 
5.3%
476
 
4.4%
441
 
4.1%
Other values (296) 4161
38.7%
Number Forms
ValueCountFrequency (%)
2
100.0%

도로명주소
Text

MISSING 

Distinct755
Distinct (%)95.3%
Missing90
Missing (%)10.2%
Memory size7.0 KiB
2024-04-06T20:47:49.493739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length54
Mean length31.719697
Min length21

Characters and Unicode

Total characters25122
Distinct characters422
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

Unique720 ?
Unique (%)90.9%

Sample

1st row서울특별시 도봉구 삼양로 616, 2-5층 (쌍문동)
2nd row서울특별시 중랑구 망우로 400, 2층~3층(201호~204호,301호~304호) (망우동)
3rd row서울특별시 송파구 송파대로 445, 한솔병원 (석촌동)
4th row서울특별시 강남구 언주로 211, 강남세브란스병원 (도곡동)
5th row서울특별시 강남구 도산대로 121, YK타워 (신사동)
ValueCountFrequency (%)
서울특별시 792
 
16.5%
강남구 116
 
2.4%
송파구 61
 
1.3%
강서구 53
 
1.1%
강동구 49
 
1.0%
영등포구 46
 
1.0%
서초구 41
 
0.9%
동대문구 38
 
0.8%
은평구 36
 
0.7%
구로구 31
 
0.6%
Other values (1600) 3546
73.7%
2024-04-06T20:47:50.839887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4022
 
16.0%
1016
 
4.0%
1002
 
4.0%
, 942
 
3.7%
870
 
3.5%
853
 
3.4%
833
 
3.3%
812
 
3.2%
) 801
 
3.2%
( 800
 
3.2%
Other values (412) 13171
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14625
58.2%
Space Separator 4022
 
16.0%
Decimal Number 3585
 
14.3%
Other Punctuation 955
 
3.8%
Close Punctuation 801
 
3.2%
Open Punctuation 800
 
3.2%
Math Symbol 179
 
0.7%
Uppercase Letter 96
 
0.4%
Dash Punctuation 45
 
0.2%
Lowercase Letter 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1016
 
6.9%
1002
 
6.9%
870
 
5.9%
853
 
5.8%
833
 
5.7%
812
 
5.6%
792
 
5.4%
792
 
5.4%
492
 
3.4%
300
 
2.1%
Other values (361) 6863
46.9%
Uppercase Letter
ValueCountFrequency (%)
B 20
20.8%
E 8
 
8.3%
S 8
 
8.3%
M 7
 
7.3%
K 5
 
5.2%
R 5
 
5.2%
O 5
 
5.2%
D 5
 
5.2%
G 4
 
4.2%
C 4
 
4.2%
Other values (10) 25
26.0%
Lowercase Letter
ValueCountFrequency (%)
b 2
16.7%
m 1
8.3%
c 1
8.3%
u 1
8.3%
r 1
8.3%
a 1
8.3%
n 1
8.3%
h 1
8.3%
i 1
8.3%
v 1
8.3%
Decimal Number
ValueCountFrequency (%)
1 715
19.9%
2 520
14.5%
3 400
11.2%
4 365
10.2%
6 345
9.6%
5 331
9.2%
0 258
 
7.2%
7 255
 
7.1%
8 211
 
5.9%
9 185
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 942
98.6%
. 10
 
1.0%
/ 2
 
0.2%
? 1
 
0.1%
Space Separator
ValueCountFrequency (%)
4022
100.0%
Close Punctuation
ValueCountFrequency (%)
) 801
100.0%
Open Punctuation
ValueCountFrequency (%)
( 800
100.0%
Math Symbol
ValueCountFrequency (%)
~ 179
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14625
58.2%
Common 10387
41.3%
Latin 110
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1016
 
6.9%
1002
 
6.9%
870
 
5.9%
853
 
5.8%
833
 
5.7%
812
 
5.6%
792
 
5.4%
792
 
5.4%
492
 
3.4%
300
 
2.1%
Other values (361) 6863
46.9%
Latin
ValueCountFrequency (%)
B 20
18.2%
E 8
 
7.3%
S 8
 
7.3%
M 7
 
6.4%
K 5
 
4.5%
R 5
 
4.5%
O 5
 
4.5%
D 5
 
4.5%
G 4
 
3.6%
C 4
 
3.6%
Other values (22) 39
35.5%
Common
ValueCountFrequency (%)
4022
38.7%
, 942
 
9.1%
) 801
 
7.7%
( 800
 
7.7%
1 715
 
6.9%
2 520
 
5.0%
3 400
 
3.9%
4 365
 
3.5%
6 345
 
3.3%
5 331
 
3.2%
Other values (9) 1146
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14625
58.2%
ASCII 10495
41.8%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4022
38.3%
, 942
 
9.0%
) 801
 
7.6%
( 800
 
7.6%
1 715
 
6.8%
2 520
 
5.0%
3 400
 
3.8%
4 365
 
3.5%
6 345
 
3.3%
5 331
 
3.2%
Other values (40) 1254
 
11.9%
Hangul
ValueCountFrequency (%)
1016
 
6.9%
1002
 
6.9%
870
 
5.9%
853
 
5.8%
833
 
5.7%
812
 
5.6%
792
 
5.4%
792
 
5.4%
492
 
3.4%
300
 
2.1%
Other values (361) 6863
46.9%
Number Forms
ValueCountFrequency (%)
2
100.0%

도로명우편번호
Text

MISSING 

Distinct614
Distinct (%)80.3%
Missing117
Missing (%)13.3%
Memory size7.0 KiB
2024-04-06T20:47:51.587595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1019608
Min length5

Characters and Unicode

Total characters3903
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique504 ?
Unique (%)65.9%

Sample

1st row01365
2nd row02163
3rd row05616
4th row06273
5th row06035
ValueCountFrequency (%)
02733 4
 
0.5%
06232 4
 
0.5%
07727 4
 
0.5%
05829 4
 
0.5%
06017 4
 
0.5%
01861 4
 
0.5%
07301 4
 
0.5%
05356 4
 
0.5%
07417 4
 
0.5%
01695 3
 
0.4%
Other values (604) 726
94.9%
2024-04-06T20:47:52.509604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 962
24.6%
5 384
 
9.8%
1 383
 
9.8%
3 368
 
9.4%
7 366
 
9.4%
6 359
 
9.2%
2 345
 
8.8%
8 335
 
8.6%
4 218
 
5.6%
9 179
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3899
99.9%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 962
24.7%
5 384
 
9.8%
1 383
 
9.8%
3 368
 
9.4%
7 366
 
9.4%
6 359
 
9.2%
2 345
 
8.8%
8 335
 
8.6%
4 218
 
5.6%
9 179
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3903
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 962
24.6%
5 384
 
9.8%
1 383
 
9.8%
3 368
 
9.4%
7 366
 
9.4%
6 359
 
9.2%
2 345
 
8.8%
8 335
 
8.6%
4 218
 
5.6%
9 179
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3903
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 962
24.6%
5 384
 
9.8%
1 383
 
9.8%
3 368
 
9.4%
7 366
 
9.4%
6 359
 
9.2%
2 345
 
8.8%
8 335
 
8.6%
4 218
 
5.6%
9 179
 
4.6%
Distinct814
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
2024-04-06T20:47:52.953373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length23
Mean length7.8537415
Min length3

Characters and Unicode

Total characters6927
Distinct characters375
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

Unique763 ?
Unique (%)86.5%

Sample

1st row퍼스트요양병원
2nd row경동한방병원
3rd row한솔병원
4th row연세대학교의과대학 강남세브란스병원
5th row다이트한방병원
ValueCountFrequency (%)
의료법인 28
 
2.8%
참사랑요양병원 5
 
0.5%
영등포병원 5
 
0.5%
서울병원 4
 
0.4%
가톨릭대학교 4
 
0.4%
참튼튼병원 4
 
0.4%
서울대윤병원 4
 
0.4%
치휴한방병원 3
 
0.3%
튼튼병원 3
 
0.3%
유디치과병원 3
 
0.3%
Other values (867) 936
93.7%
2024-04-06T20:47:53.636496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
916
 
13.2%
877
 
12.7%
194
 
2.8%
187
 
2.7%
179
 
2.6%
169
 
2.4%
157
 
2.3%
144
 
2.1%
143
 
2.1%
133
 
1.9%
Other values (365) 3828
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6746
97.4%
Space Separator 119
 
1.7%
Decimal Number 27
 
0.4%
Close Punctuation 14
 
0.2%
Open Punctuation 12
 
0.2%
Uppercase Letter 6
 
0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
916
 
13.6%
877
 
13.0%
194
 
2.9%
187
 
2.8%
179
 
2.7%
169
 
2.5%
157
 
2.3%
144
 
2.1%
143
 
2.1%
133
 
2.0%
Other values (346) 3647
54.1%
Decimal Number
ValueCountFrequency (%)
5 5
18.5%
6 5
18.5%
3 5
18.5%
2 4
14.8%
1 4
14.8%
8 2
 
7.4%
9 2
 
7.4%
Uppercase Letter
ValueCountFrequency (%)
I 1
16.7%
J 1
16.7%
S 1
16.7%
P 1
16.7%
V 1
16.7%
C 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
e 1
33.3%
c 1
33.3%
m 1
33.3%
Space Separator
ValueCountFrequency (%)
119
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6746
97.4%
Common 172
 
2.5%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
916
 
13.6%
877
 
13.0%
194
 
2.9%
187
 
2.8%
179
 
2.7%
169
 
2.5%
157
 
2.3%
144
 
2.1%
143
 
2.1%
133
 
2.0%
Other values (346) 3647
54.1%
Common
ValueCountFrequency (%)
119
69.2%
) 14
 
8.1%
( 12
 
7.0%
5 5
 
2.9%
6 5
 
2.9%
3 5
 
2.9%
2 4
 
2.3%
1 4
 
2.3%
8 2
 
1.2%
9 2
 
1.2%
Latin
ValueCountFrequency (%)
e 1
11.1%
c 1
11.1%
m 1
11.1%
I 1
11.1%
J 1
11.1%
S 1
11.1%
P 1
11.1%
V 1
11.1%
C 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6746
97.4%
ASCII 181
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
916
 
13.6%
877
 
13.0%
194
 
2.9%
187
 
2.8%
179
 
2.7%
169
 
2.5%
157
 
2.3%
144
 
2.1%
143
 
2.1%
133
 
2.0%
Other values (346) 3647
54.1%
ASCII
ValueCountFrequency (%)
119
65.7%
) 14
 
7.7%
( 12
 
6.6%
5 5
 
2.8%
6 5
 
2.8%
3 5
 
2.8%
2 4
 
2.2%
1 4
 
2.2%
8 2
 
1.1%
9 2
 
1.1%
Other values (9) 9
 
5.0%
Distinct855
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
Minimum2008-11-28 13:53:11
Maximum2024-04-04 18:04:02
2024-04-06T20:47:53.875211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:47:54.120518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
U
638 
I
242 
D
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 638
72.3%
I 242
 
27.4%
D 2
 
0.2%

Length

2024-04-06T20:47:54.297958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:47:54.480851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 638
72.3%
i 242
 
27.4%
d 2
 
0.2%
Distinct334
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-06T20:47:54.712874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:47:54.944598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct9
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
병원
374 
요양병원(일반요양병원)
187 
한방병원
125 
치과병원
112 
종합병원
64 
Other values (4)
 
20

Length

Max length15
Median length12
Mean length4.9013605
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row요양병원(일반요양병원)
2nd row한방병원
3rd row병원
4th row종합병원
5th row한방병원

Common Values

ValueCountFrequency (%)
병원 374
42.4%
요양병원(일반요양병원) 187
21.2%
한방병원 125
 
14.2%
치과병원 112
 
12.7%
종합병원 64
 
7.3%
정신병원 13
 
1.5%
요양병원(노인병원) 5
 
0.6%
요양병원(정신병원) 1
 
0.1%
요양병원(장애인의료재활시설) 1
 
0.1%

Length

2024-04-06T20:47:55.195071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:47:55.419423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 374
42.4%
요양병원(일반요양병원 187
21.2%
한방병원 125
 
14.2%
치과병원 112
 
12.7%
종합병원 64
 
7.3%
정신병원 13
 
1.5%
요양병원(노인병원 5
 
0.6%
요양병원(정신병원 1
 
0.1%
요양병원(장애인의료재활시설 1
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct657
Distinct (%)85.5%
Missing114
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean199916.82
Minimum182141.21
Maximum215314.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-04-06T20:47:55.674194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182141.21
5-th percentile185836.05
Q1192827.91
median202273.04
Q3205665.64
95-th percentile211824.83
Maximum215314.75
Range33173.541
Interquartile range (IQR)12837.73

Descriptive statistics

Standard deviation8013.7865
Coefficient of variation (CV)0.040085603
Kurtosis-0.9580095
Mean199916.82
Median Absolute Deviation (MAD)6108.6485
Skewness-0.33573825
Sum1.5353612 × 108
Variance64220775
MonotonicityNot monotonic
2024-04-06T20:47:55.873774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
191342.399599631 4
 
0.5%
185827.975624821 4
 
0.5%
192891.252318491 4
 
0.5%
211004.466691043 4
 
0.5%
202462.604763481 4
 
0.5%
205861.778324251 4
 
0.5%
212221.342539571 3
 
0.3%
198743.866850026 3
 
0.3%
191506.148858786 3
 
0.3%
187064.192158501 3
 
0.3%
Other values (647) 732
83.0%
(Missing) 114
 
12.9%
ValueCountFrequency (%)
182141.205465089 2
0.2%
182940.086694869 2
0.2%
183039.073279899 1
0.1%
183087.143467593 1
0.1%
183284.388090473 1
0.1%
183500.183270254 1
0.1%
183782.987028949 1
0.1%
184448.497335143 1
0.1%
184496.437996802 1
0.1%
184727.430998613 1
0.1%
ValueCountFrequency (%)
215314.746342111 1
 
0.1%
214041.185642466 1
 
0.1%
213839.356195548 3
0.3%
212987.201084796 2
0.2%
212953.210261522 1
 
0.1%
212831.033281342 3
0.3%
212643.860107402 2
0.2%
212634.191250352 2
0.2%
212618.653947687 1
 
0.1%
212587.48325656 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct657
Distinct (%)85.5%
Missing114
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean449116.39
Minimum438879.43
Maximum464003.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-04-06T20:47:56.136228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum438879.43
5-th percentile441976.34
Q1444591.11
median447976.96
Q3452532.07
95-th percentile461065.44
Maximum464003.41
Range25123.98
Interquartile range (IQR)7940.9602

Descriptive statistics

Standard deviation5653.782
Coefficient of variation (CV)0.012588679
Kurtosis-0.38308711
Mean449116.39
Median Absolute Deviation (MAD)3796.5979
Skewness0.65310022
Sum3.4492139 × 108
Variance31965251
MonotonicityNot monotonic
2024-04-06T20:47:56.387686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442410.463659236 4
 
0.5%
446176.194065655 4
 
0.5%
457952.353058325 4
 
0.5%
448897.237548386 4
 
0.5%
443960.186302868 4
 
0.5%
450912.302558818 4
 
0.5%
448245.019790445 3
 
0.3%
441538.707106809 3
 
0.3%
446609.211364301 3
 
0.3%
443874.017248936 3
 
0.3%
Other values (647) 732
83.0%
(Missing) 114
 
12.9%
ValueCountFrequency (%)
438879.425058325 1
0.1%
439023.167125842 1
0.1%
439144.877856068 1
0.1%
439241.805170218 1
0.1%
439252.151463844 1
0.1%
439289.513727463 1
0.1%
439322.42742435 2
0.2%
439641.061761598 1
0.1%
439733.691014751 1
0.1%
439891.159496907 1
0.1%
ValueCountFrequency (%)
464003.405075075 1
0.1%
463967.288761705 1
0.1%
463306.561200616 1
0.1%
463176.64494664 1
0.1%
462985.339920532 2
0.2%
462576.540812657 1
0.1%
462312.588860817 1
0.1%
462271.553341754 1
0.1%
462249.755144886 1
0.1%
462195.079384745 1
0.1%
Distinct8
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
<NA>
530 
병원
157 
요양병원(일반요양병원)
85 
치과병원
68 
한방병원
 
31
Other values (3)
 
11

Length

Max length12
Median length4
Mean length4.4421769
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 530
60.1%
병원 157
 
17.8%
요양병원(일반요양병원) 85
 
9.6%
치과병원 68
 
7.7%
한방병원 31
 
3.5%
종합병원 7
 
0.8%
요양병원(노인병원) 3
 
0.3%
요양병원(정신병원) 1
 
0.1%

Length

2024-04-06T20:47:56.614439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:47:56.805616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 530
60.1%
병원 157
 
17.8%
요양병원(일반요양병원 85
 
9.6%
치과병원 68
 
7.7%
한방병원 31
 
3.5%
종합병원 7
 
0.8%
요양병원(노인병원 3
 
0.3%
요양병원(정신병원 1
 
0.1%

의료인수
Real number (ℝ)

MISSING  ZEROS 

Distinct57
Distinct (%)16.2%
Missing530
Missing (%)60.1%
Infinite0
Infinite (%)0.0%
Mean16.394886
Minimum0
Maximum745
Zeros32
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-04-06T20:47:57.038791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median6.5
Q317
95-th percentile43.45
Maximum745
Range745
Interquartile range (IQR)14

Descriptive statistics

Standard deviation48.891359
Coefficient of variation (CV)2.9821103
Kurtosis149.97025
Mean16.394886
Median Absolute Deviation (MAD)5.5
Skewness11.072811
Sum5771
Variance2390.365
MonotonicityNot monotonic
2024-04-06T20:47:57.291579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 33
 
3.7%
0 32
 
3.6%
1 28
 
3.2%
2 27
 
3.1%
3 26
 
2.9%
6 15
 
1.7%
7 15
 
1.7%
5 15
 
1.7%
8 14
 
1.6%
12 10
 
1.1%
Other values (47) 137
 
15.5%
(Missing) 530
60.1%
ValueCountFrequency (%)
0 32
3.6%
1 28
3.2%
2 27
3.1%
3 26
2.9%
4 33
3.7%
5 15
1.7%
6 15
1.7%
7 15
1.7%
8 14
1.6%
9 8
 
0.9%
ValueCountFrequency (%)
745 1
0.1%
378 1
0.1%
192 1
0.1%
186 1
0.1%
155 1
0.1%
153 1
0.1%
132 1
0.1%
78 1
0.1%
71 1
0.1%
66 1
0.1%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct52
Distinct (%)14.8%
Missing530
Missing (%)60.1%
Infinite0
Infinite (%)0.0%
Mean14.215909
Minimum0
Maximum115
Zeros114
Zeros (%)12.9%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-04-06T20:47:57.547643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median11
Q321
95-th percentile41
Maximum115
Range115
Interquartile range (IQR)21

Descriptive statistics

Standard deviation16.347682
Coefficient of variation (CV)1.1499568
Kurtosis9.0847444
Mean14.215909
Median Absolute Deviation (MAD)11
Skewness2.3523277
Sum5004
Variance267.2467
MonotonicityNot monotonic
2024-04-06T20:47:57.819655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 114
 
12.9%
16 16
 
1.8%
11 13
 
1.5%
9 12
 
1.4%
22 11
 
1.2%
12 11
 
1.2%
15 11
 
1.2%
14 10
 
1.1%
7 10
 
1.1%
10 10
 
1.1%
Other values (42) 134
 
15.2%
(Missing) 530
60.1%
ValueCountFrequency (%)
0 114
12.9%
3 2
 
0.2%
4 3
 
0.3%
5 3
 
0.3%
6 3
 
0.3%
7 10
 
1.1%
8 8
 
0.9%
9 12
 
1.4%
10 10
 
1.1%
11 13
 
1.5%
ValueCountFrequency (%)
115 1
0.1%
104 1
0.1%
95 1
0.1%
90 1
0.1%
78 1
0.1%
66 1
0.1%
60 2
0.2%
54 1
0.1%
53 1
0.1%
52 1
0.1%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct129
Distinct (%)36.6%
Missing530
Missing (%)60.1%
Infinite0
Infinite (%)0.0%
Mean67.997159
Minimum0
Maximum503
Zeros95
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-04-06T20:47:58.060086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median49
Q397
95-th percentile203.9
Maximum503
Range503
Interquartile range (IQR)97

Descriptive statistics

Standard deviation78.066795
Coefficient of variation (CV)1.1480891
Kurtosis8.8061651
Mean67.997159
Median Absolute Deviation (MAD)49
Skewness2.3732067
Sum23935
Variance6094.4245
MonotonicityNot monotonic
2024-04-06T20:47:58.349597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 95
 
10.8%
30 25
 
2.8%
40 9
 
1.0%
36 7
 
0.8%
31 6
 
0.7%
50 5
 
0.6%
41 5
 
0.6%
38 5
 
0.6%
99 5
 
0.6%
89 4
 
0.5%
Other values (119) 186
 
21.1%
(Missing) 530
60.1%
ValueCountFrequency (%)
0 95
10.8%
4 1
 
0.1%
5 1
 
0.1%
7 2
 
0.2%
9 1
 
0.1%
12 1
 
0.1%
27 1
 
0.1%
30 25
 
2.8%
31 6
 
0.7%
32 3
 
0.3%
ValueCountFrequency (%)
503 1
0.1%
500 2
0.2%
450 1
0.1%
348 1
0.1%
299 1
0.1%
284 1
0.1%
255 1
0.1%
253 2
0.2%
228 1
0.1%
223 1
0.1%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct315
Distinct (%)89.5%
Missing530
Missing (%)60.1%
Infinite0
Infinite (%)0.0%
Mean2120.4244
Minimum0
Maximum57492.81
Zeros29
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-04-06T20:47:58.652026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1501.1
median1361.765
Q32349.575
95-th percentile6176.5245
Maximum57492.81
Range57492.81
Interquartile range (IQR)1848.475

Descriptive statistics

Standard deviation4053.1129
Coefficient of variation (CV)1.911463
Kurtosis105.43531
Mean2120.4244
Median Absolute Deviation (MAD)906.735
Skewness8.788461
Sum746389.4
Variance16427724
MonotonicityNot monotonic
2024-04-06T20:47:58.900075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 29
 
3.3%
1307.4 2
 
0.2%
1621.99 2
 
0.2%
749.64 2
 
0.2%
1476.6 2
 
0.2%
1365.0 2
 
0.2%
7960.08 2
 
0.2%
1404.12 2
 
0.2%
972.0 2
 
0.2%
1203.0 2
 
0.2%
Other values (305) 305
34.6%
(Missing) 530
60.1%
ValueCountFrequency (%)
0.0 29
3.3%
10.0 1
 
0.1%
84.21 1
 
0.1%
133.95 1
 
0.1%
136.2 1
 
0.1%
137.4 1
 
0.1%
144.0 1
 
0.1%
147.94 1
 
0.1%
151.55 1
 
0.1%
161.07 1
 
0.1%
ValueCountFrequency (%)
57492.81 1
0.1%
27170.57 1
0.1%
22825.55 1
0.1%
17821.0 1
0.1%
13255.04 1
0.1%
12395.07 1
0.1%
11837.02 1
0.1%
11377.96 1
0.1%
11138.0 1
0.1%
8646.01 1
0.1%

진료과목내용
Text

MISSING 

Distinct263
Distinct (%)74.7%
Missing530
Missing (%)60.1%
Memory size7.0 KiB
2024-04-06T20:47:59.300049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length115
Median length79
Mean length24.704545
Min length3

Characters and Unicode

Total characters8696
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

Unique249 ?
Unique (%)70.7%

Sample

1st row101
2nd row101 103 122
3rd row301 303 304 305 306 307 308 302
4th row101 120 104 113 111 114
5th row201 202 203 204 205 206 207 208 209 210
ValueCountFrequency (%)
101 243
 
10.7%
105 148
 
6.5%
104 108
 
4.8%
122 108
 
4.8%
120 107
 
4.7%
106 105
 
4.6%
116 94
 
4.2%
109 80
 
3.5%
102 73
 
3.2%
114 65
 
2.9%
Other values (47) 1131
50.0%
2024-04-06T20:47:59.946155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2388
27.5%
1910
22.0%
0 1734
19.9%
2 718
 
8.3%
3 498
 
5.7%
4 474
 
5.5%
5 301
 
3.5%
6 290
 
3.3%
8 145
 
1.7%
9 144
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6786
78.0%
Space Separator 1910
 
22.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2388
35.2%
0 1734
25.6%
2 718
 
10.6%
3 498
 
7.3%
4 474
 
7.0%
5 301
 
4.4%
6 290
 
4.3%
8 145
 
2.1%
9 144
 
2.1%
7 94
 
1.4%
Space Separator
ValueCountFrequency (%)
1910
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8696
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2388
27.5%
1910
22.0%
0 1734
19.9%
2 718
 
8.3%
3 498
 
5.7%
4 474
 
5.5%
5 301
 
3.5%
6 290
 
3.3%
8 145
 
1.7%
9 144
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8696
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2388
27.5%
1910
22.0%
0 1734
19.9%
2 718
 
8.3%
3 498
 
5.7%
4 474
 
5.5%
5 301
 
3.5%
6 290
 
3.3%
8 145
 
1.7%
9 144
 
1.7%

진료과목내용명
Text

MISSING 

Distinct237
Distinct (%)67.3%
Missing530
Missing (%)60.1%
Memory size7.0 KiB
2024-04-06T20:48:00.320794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length191
Median length93
Mean length39.255682
Min length2

Characters and Unicode

Total characters13818
Distinct characters70
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique216 ?
Unique (%)61.4%

Sample

1st row내과
2nd row내과, 정신건강의학과, 가정의학과
3rd row한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과
4th row내과, 외과, 소아청소년과, 이비인후과, 피부과, 재활의학과
5th row구강악안면외과, 치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강내과, 구강악안면방사선과, 구강병리과, 예방치과
ValueCountFrequency (%)
내과 243
 
10.8%
정형외과 148
 
6.6%
가정의학과 108
 
4.8%
외과 107
 
4.7%
재활의학과 107
 
4.7%
신경외과 105
 
4.7%
영상의학과 93
 
4.1%
마취통증의학과 80
 
3.5%
신경과 73
 
3.2%
피부과 65
 
2.9%
Other values (38) 1129
50.0%
2024-04-06T20:48:00.976705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2393
17.3%
, 1906
13.8%
1906
13.8%
582
 
4.2%
578
 
4.2%
442
 
3.2%
365
 
2.6%
346
 
2.5%
316
 
2.3%
303
 
2.2%
Other values (60) 4681
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9938
71.9%
Other Punctuation 1974
 
14.3%
Space Separator 1906
 
13.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2393
24.1%
582
 
5.9%
578
 
5.8%
442
 
4.4%
365
 
3.7%
346
 
3.5%
316
 
3.2%
303
 
3.0%
279
 
2.8%
256
 
2.6%
Other values (57) 4078
41.0%
Other Punctuation
ValueCountFrequency (%)
, 1906
96.6%
? 68
 
3.4%
Space Separator
ValueCountFrequency (%)
1906
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9938
71.9%
Common 3880
 
28.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2393
24.1%
582
 
5.9%
578
 
5.8%
442
 
4.4%
365
 
3.7%
346
 
3.5%
316
 
3.2%
303
 
3.0%
279
 
2.8%
256
 
2.6%
Other values (57) 4078
41.0%
Common
ValueCountFrequency (%)
, 1906
49.1%
1906
49.1%
? 68
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9938
71.9%
ASCII 3880
 
28.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2393
24.1%
582
 
5.9%
578
 
5.8%
442
 
4.4%
365
 
3.7%
346
 
3.5%
316
 
3.2%
303
 
3.0%
279
 
2.8%
256
 
2.6%
Other values (57) 4078
41.0%
ASCII
ValueCountFrequency (%)
, 1906
49.1%
1906
49.1%
? 68
 
1.8%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing882
Missing (%)100.0%
Memory size7.9 KiB

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing882
Missing (%)100.0%
Memory size7.9 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing882
Missing (%)100.0%
Memory size7.9 KiB

구급차특수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
<NA>
530 
0
352 

Length

Max length4
Median length4
Mean length2.8027211
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 530
60.1%
0 352
39.9%

Length

2024-04-06T20:48:01.772946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:48:01.939497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 530
60.1%
0 352
39.9%

구급차일반
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
<NA>
530 
0
352 

Length

Max length4
Median length4
Mean length2.8027211
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 530
60.1%
0 352
39.9%

Length

2024-04-06T20:48:02.273962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:48:02.493411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 530
60.1%
0 352
39.9%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing882
Missing (%)100.0%
Memory size7.9 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing882
Missing (%)100.0%
Memory size7.9 KiB

허가병상수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
<NA>
530 
0
352 

Length

Max length4
Median length4
Mean length2.8027211
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 530
60.1%
0 352
39.9%

Length

2024-04-06T20:48:02.691381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:48:02.853688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 530
60.1%
0 352
39.9%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing882
Missing (%)100.0%
Memory size7.9 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03090000PHMA2200730900330212000012007-05-22<NA>1영업/정상13영업중<NA><NA><NA><NA>02-902-3294<NA><NA>서울특별시 도봉구 쌍문동 509번지 1호 백운빌딩서울특별시 도봉구 삼양로 616, 2-5층 (쌍문동)01365퍼스트요양병원2023-06-28 11:17:30U2022-12-05 21:00:00.0요양병원(일반요양병원)201177.743199461734.803519<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13060000PHMA2202030600340212000012020-05-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2038-0100820.24<NA><NA>서울특별시 중랑구 망우로 400, 2층~3층(201호~204호,301호~304호) (망우동)02163경동한방병원2023-12-18 09:22:53U2022-11-01 22:00:00.0한방병원208463.248124455158.833604<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23230000PHMA2199832300340212015681998-03-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2147-60005419.71<NA>서울특별시 송파구 석촌동 174번지 13호 한솔병원서울특별시 송파구 송파대로 445, 한솔병원 (석촌동)05616한솔병원2024-04-02 15:31:07U2023-12-04 00:04:00.0병원209295.368139444879.115591<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33220000PHMA2198332200330212000021983-04-04<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2019-311488073.48<NA>서울특별시 강남구 도곡동 146-92 강남세브란스병원서울특별시 강남구 언주로 211, 강남세브란스병원 (도곡동)06273연세대학교의과대학 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>
43220000PHMA2202232200330212000012022-02-04<NA>3폐업3폐업2023-02-15<NA><NA><NA>02-6205-1075<NA><NA><NA>서울특별시 강남구 도산대로 121, YK타워 (신사동)06035다이트한방병원2023-02-04 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>
53170000PHMA2200731700350212000012007-01-03<NA>1영업/정상13영업중<NA><NA><NA><NA>02-867-7056<NA>153-801서울특별시 금천구 가산동 151번지 36호서울특별시 금천구 가산로 122 (가산동)08529성지병원2023-07-07 08:13:15U2022-12-06 23:04:00.0정신병원190457.772818441601.325701<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63220000PHMA2200932200330212000072009-11-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6925-11112201.9<NA><NA>서울특별시 강남구 역삼로 245, 지하2층일부 1층일부 2~7층 (역삼동)06225하나이비인후과병원2024-01-11 22:01:58U2023-11-30 23:03:00.0병원203732.302297443970.11976<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73230000PHMA2202232300340212000042022-12-02<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)05706리워크병원2024-02-20 13:09:19U2023-12-01 22:02:00.0병원210574.037898444069.184552<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83150000PHMA2202331500370212000012023-05-03<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1600-8205<NA><NA>서울특별시 강서구 내발산동 654서울특별시 강서구 강서로 357 (내발산동)07632서울필병원2023-05-03 11:16:15I2022-12-05 00:07:00.0병원185569.392872450611.074306<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93210000PHMA2201832100340212000012018-06-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-587-88752480.74<NA>서울특별시 서초구 서초동 1515번지 4호 서원빌딩서울특별시 서초구 명달로 102, 서원빌딩 1-6층 (서초동)06668올바로병원2024-03-06 10:34:54U2023-12-03 00:09:00.0병원200324.626408442669.649678<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
8723240000PHMA2201232400330212000022012-03-16<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1899-01021158.43<NA>서울특별시 강동구 천호동 315번지 2호서울특별시 강동구 올림픽로 734 (천호동)05323강동연세병원2024-03-04 09:38:13U2023-12-03 00:06:00.0병원211120.614279449398.629637<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8733180000PHMA22015318003402120000420151214<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2098-8000<NA><NA>서울특별시 영등포구 신길동 505번지 2층~7층서울특별시 영등포구 여의대방로 145, 2~7층 (신길동, 세인트빌딩)07392서울바른병원2022-05-30 15:01:56U2021-12-06 00:01:00.0병원192857.928262444236.20077<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8743130000PHMA22019313003302120000120190711<NA>1영업/정상13영업중<NA><NA><NA><NA>02-337-8111<NA><NA><NA>서울특별시 마포구 성산로4길 33, 마포요양병원 지하1~5층 (성산동)03965마포요양병원2022-06-30 10:48:42U2021-12-07 00:02:00.0요양병원(일반요양병원)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8753100000PHMA2201931000340212000022019-03-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-930-2841155.8<NA><NA>서울특별시 노원구 노해로 488, 근호빌딩 5층 502호 (상계동)01751샤인치과교정과 치과병원2023-10-23 10:42:39U2022-10-30 22:05:00.0치과병원205415.542387461328.596334<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8763100000PHMA2202031000340212000012020-07-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-934-1300<NA><NA><NA>서울특별시 노원구 노원로 461, 대감프라자빌딩 3,4,5,6층 (상계동)01691그레이스힐 요양병원2023-07-10 11:38:52U2022-12-06 23:03:00.0요양병원(일반요양병원)205705.73665461663.539093<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8773140000PHMA2201031400330212000012010-02-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3219-09201207.2158-051서울특별시 양천구 목1동 404번지 156호 대경프라자 ( 3층, 5층, 6층)서울특별시 양천구 신목로 102, 3,5,6층 (목동, 대경프라자)08007목동자생한방병원2024-01-23 10:46:53U2023-11-30 22:05:00.0한방병원188954.524397446824.338405<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8783100000PHMA2200631000340212000012006-06-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-936-2122<NA><NA>서울특별시 노원구 상계동 373번지 71호 , 상계동 373-45 , 상계동 373-7(1층~3층)서울특별시 노원구 노원로 448 (상계동, 메디아이여성병원)01696메디아이여성병원2023-06-26 17:07:41U2022-12-05 22:08:00.0병원205845.013423461572.838655<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8793100000PHMA2201331000340212000012013-01-04<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2289-07171956.52139-816서울특별시 노원구 상계동 292번지 1호 와우쇼핑몰 7층,8층서울특별시 노원구 노해로 507, 7,8층 (상계동, 와우쇼핑몰)01695노원자생한방병원2024-02-22 16:50:10U2023-12-01 22:04:00.0한방병원205557.013356461441.687971<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8803130000PHMA2201631300330212000012016-03-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6070-9000<NA><NA>서울특별시 마포구 상암동 1738번지 푸르메재단넥슨어린이재활병원, 지하1층~7층서울특별시 마포구 월드컵북로 494, 지하1층~7층 (상암동, 푸르메재단넥슨어린이재활병원)03918푸르메재단 넥슨어린이재활병원2022-12-26 17:34:54D2022-12-06 23:04:00.0요양병원(장애인의료재활시설)189380.940593453602.251632<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8813100000PHMA2201231000340212000012012-09-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3392-91001999.5139-200서울특별시 노원구 상계동 723번지 2층, 3층, 5층서울특별시 노원구 노해로 502, 2층, 3층, 5층 (상계동)01752참튼튼병원2023-09-12 15:34:53U2022-12-08 23:04:00.0병원205550.908408461343.062227<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>