Overview

Dataset statistics

Number of variables41
Number of observations986
Missing cells15067
Missing cells (%)37.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory339.1 KiB
Average record size in memory352.1 B

Variable types

Categorical11
Text8
DateTime4
Unsupported9
Numeric9

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
Author양천구
URLhttps://data.seoul.go.kr/dataList/OA-16228/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (50.9%)Imbalance
영업상태명 is highly imbalanced (50.9%)Imbalance
상세영업상태코드 is highly imbalanced (50.9%)Imbalance
상세영업상태명 is highly imbalanced (50.9%)Imbalance
인허가취소일자 has 986 (100.0%) missing valuesMissing
폐업일자 has 667 (67.6%) missing valuesMissing
휴업시작일자 has 975 (98.9%) missing valuesMissing
휴업종료일자 has 975 (98.9%) missing valuesMissing
재개업일자 has 986 (100.0%) missing valuesMissing
전화번호 has 79 (8.0%) missing valuesMissing
소재지면적 has 986 (100.0%) missing valuesMissing
소재지우편번호 has 734 (74.4%) missing valuesMissing
지번주소 has 153 (15.5%) missing valuesMissing
도로명주소 has 92 (9.3%) missing valuesMissing
도로명우편번호 has 92 (9.3%) missing valuesMissing
좌표정보(X) has 85 (8.6%) missing valuesMissing
좌표정보(Y) has 85 (8.6%) missing valuesMissing
의료인수 has 376 (38.1%) missing valuesMissing
입원실수 has 376 (38.1%) missing valuesMissing
병상수 has 376 (38.1%) missing valuesMissing
총면적 has 376 (38.1%) missing valuesMissing
진료과목내용 has 376 (38.1%) missing valuesMissing
진료과목내용명 has 376 (38.1%) missing valuesMissing
지정취소일자 has 986 (100.0%) missing valuesMissing
완화의료지정형태 has 986 (100.0%) missing valuesMissing
완화의료담당부서명 has 986 (100.0%) missing valuesMissing
총인원 has 986 (100.0%) missing valuesMissing
구조사수 has 986 (100.0%) missing valuesMissing
최초지정일자 has 986 (100.0%) missing valuesMissing
총면적 is highly skewed (γ1 = 24.67296597)Skewed
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지정취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료지정형태 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료담당부서명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
구조사수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초지정일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
입원실수 has 578 (58.6%) zerosZeros
병상수 has 577 (58.5%) zerosZeros

Reproduction

Analysis started2024-05-11 07:02:37.029555
Analysis finished2024-05-11 07:02:38.138544
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
3140000
986 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3140000
2nd row3140000
3rd row3140000
4th row3140000
5th row3140000

Common Values

ValueCountFrequency (%)
3140000 986
100.0%

Length

2024-05-11T16:02:38.207905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:38.312114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3140000 986
100.0%

관리번호
Text

UNIQUE 

Distinct986
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
2024-05-11T16:02:38.497970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters24650
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

Unique986 ?
Unique (%)100.0%

Sample

1st rowPHMA119003140033041100001
2nd rowPHMA119703140033041100001
3rd rowPHMA119743140033041100001
4th rowPHMA119773140033041100001
5th rowPHMA119783140033041100001
ValueCountFrequency (%)
phma119003140033041100001 1
 
0.1%
phma120113140033041100008 1
 
0.1%
phma120133140033041100012 1
 
0.1%
phma120113140033041100011 1
 
0.1%
phma120113140033041100012 1
 
0.1%
phma120113140033041100013 1
 
0.1%
phma120113140033041100014 1
 
0.1%
phma120113140033041100015 1
 
0.1%
phma120113140033041100016 1
 
0.1%
phma120113140033041100017 1
 
0.1%
Other values (976) 976
99.0%
2024-05-11T16:02:38.940605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7623
30.9%
1 4947
20.1%
3 3272
13.3%
4 2201
 
8.9%
2 1319
 
5.4%
P 986
 
4.0%
H 986
 
4.0%
M 986
 
4.0%
A 986
 
4.0%
9 550
 
2.2%
Other values (4) 794
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20706
84.0%
Uppercase Letter 3944
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7623
36.8%
1 4947
23.9%
3 3272
15.8%
4 2201
 
10.6%
2 1319
 
6.4%
9 550
 
2.7%
8 239
 
1.2%
7 186
 
0.9%
6 185
 
0.9%
5 184
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 986
25.0%
H 986
25.0%
M 986
25.0%
A 986
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20706
84.0%
Latin 3944
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7623
36.8%
1 4947
23.9%
3 3272
15.8%
4 2201
 
10.6%
2 1319
 
6.4%
9 550
 
2.7%
8 239
 
1.2%
7 186
 
0.9%
6 185
 
0.9%
5 184
 
0.9%
Latin
ValueCountFrequency (%)
P 986
25.0%
H 986
25.0%
M 986
25.0%
A 986
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24650
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7623
30.9%
1 4947
20.1%
3 3272
13.3%
4 2201
 
8.9%
2 1319
 
5.4%
P 986
 
4.0%
H 986
 
4.0%
M 986
 
4.0%
A 986
 
4.0%
9 550
 
2.2%
Other values (4) 794
 
3.2%
Distinct903
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
Minimum1900-01-01 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T16:02:39.102641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:02:39.245559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing986
Missing (%)100.0%
Memory size8.8 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
1
660 
3
317 
5
 
7
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 660
66.9%
3 317
32.2%
5 7
 
0.7%
4 2
 
0.2%

Length

2024-05-11T16:02:39.407025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:39.510717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 660
66.9%
3 317
32.2%
5 7
 
0.7%
4 2
 
0.2%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
영업/정상
660 
폐업
317 
제외/삭제/전출
 
7
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.0750507
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 660
66.9%
폐업 317
32.2%
제외/삭제/전출 7
 
0.7%
취소/말소/만료/정지/중지 2
 
0.2%

Length

2024-05-11T16:02:39.638998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:39.753271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 660
66.9%
폐업 317
32.2%
제외/삭제/전출 7
 
0.7%
취소/말소/만료/정지/중지 2
 
0.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
13
660 
3
317 
15
 
7
24
 
2

Length

Max length2
Median length2
Mean length1.678499
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 660
66.9%
3 317
32.2%
15 7
 
0.7%
24 2
 
0.2%

Length

2024-05-11T16:02:39.866699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:39.971883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 660
66.9%
3 317
32.2%
15 7
 
0.7%
24 2
 
0.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
영업중
660 
폐업
317 
전출
 
7
직권폐업
 
2

Length

Max length4
Median length3
Mean length2.673428
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 660
66.9%
폐업 317
32.2%
전출 7
 
0.7%
직권폐업 2
 
0.2%

Length

2024-05-11T16:02:40.125736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:40.250664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 660
66.9%
폐업 317
32.2%
전출 7
 
0.7%
직권폐업 2
 
0.2%

폐업일자
Date

MISSING 

Distinct296
Distinct (%)92.8%
Missing667
Missing (%)67.6%
Memory size7.8 KiB
Minimum2007-05-23 00:00:00
Maximum2024-05-01 00:00:00
2024-05-11T16:02:40.377517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:02:40.553142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing975
Missing (%)98.9%
Infinite0
Infinite (%)0.0%
Mean20123314
Minimum20090731
Maximum20180208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2024-05-11T16:02:40.727915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090731
5-th percentile20090767
Q120105670
median20120221
Q320125863
95-th percentile20175304
Maximum20180208
Range89477
Interquartile range (IQR)20192.5

Descriptive statistics

Standard deviation28854.412
Coefficient of variation (CV)0.0014338797
Kurtosis0.57469854
Mean20123314
Median Absolute Deviation (MAD)10285
Skewness1.0496881
Sum2.2135645 × 108
Variance8.3257712 × 108
MonotonicityNot monotonic
2024-05-11T16:02:41.182730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20121220 1
 
0.1%
20110615 1
 
0.1%
20180208 1
 
0.1%
20170401 1
 
0.1%
20090803 1
 
0.1%
20130506 1
 
0.1%
20120216 1
 
0.1%
20090731 1
 
0.1%
20100726 1
 
0.1%
20120807 1
 
0.1%
(Missing) 975
98.9%
ValueCountFrequency (%)
20090731 1
0.1%
20090803 1
0.1%
20100726 1
0.1%
20110615 1
0.1%
20120216 1
0.1%
20120221 1
0.1%
20120807 1
0.1%
20121220 1
0.1%
20130506 1
0.1%
20170401 1
0.1%
ValueCountFrequency (%)
20180208 1
0.1%
20170401 1
0.1%
20130506 1
0.1%
20121220 1
0.1%
20120807 1
0.1%
20120221 1
0.1%
20120216 1
0.1%
20110615 1
0.1%
20100726 1
0.1%
20090803 1
0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing975
Missing (%)98.9%
Infinite0
Infinite (%)0.0%
Mean20131622
Minimum20100531
Maximum20180807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2024-05-11T16:02:41.314846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100531
5-th percentile20100830
Q120115722
median20130320
Q320140726
95-th percentile20175668
Maximum20180807
Range80276
Interquartile range (IQR)25005

Descriptive statistics

Standard deviation25801.397
Coefficient of variation (CV)0.0012816353
Kurtosis0.036351833
Mean20131622
Median Absolute Deviation (MAD)10911
Skewness0.78157709
Sum2.2144784 × 108
Variance6.6571207 × 108
MonotonicityNot monotonic
2024-05-11T16:02:41.457668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20130320 1
 
0.1%
20111214 1
 
0.1%
20180807 1
 
0.1%
20170530 1
 
0.1%
20141231 1
 
0.1%
20130605 1
 
0.1%
20120229 1
 
0.1%
20100531 1
 
0.1%
20101130 1
 
0.1%
20121020 1
 
0.1%
(Missing) 975
98.9%
ValueCountFrequency (%)
20100531 1
0.1%
20101130 1
0.1%
20111214 1
0.1%
20120229 1
0.1%
20121020 1
0.1%
20130320 1
0.1%
20130605 1
0.1%
20140222 1
0.1%
20141231 1
0.1%
20170530 1
0.1%
ValueCountFrequency (%)
20180807 1
0.1%
20170530 1
0.1%
20141231 1
0.1%
20140222 1
0.1%
20130605 1
0.1%
20130320 1
0.1%
20121020 1
0.1%
20120229 1
0.1%
20111214 1
0.1%
20101130 1
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing986
Missing (%)100.0%
Memory size8.8 KiB

전화번호
Text

MISSING 

Distinct883
Distinct (%)97.4%
Missing79
Missing (%)8.0%
Memory size7.8 KiB
2024-05-11T16:02:41.742403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length10.726571
Min length1

Characters and Unicode

Total characters9729
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

Unique860 ?
Unique (%)94.8%

Sample

1st row02-2620-4340
2nd row2646-2346
3rd row02-2642-6617
4th row642-4815
5th row02-2603-8609
ValueCountFrequency (%)
02-2642-7582 3
 
0.3%
2602-7584 2
 
0.2%
02-2645-6662 2
 
0.2%
2651-8275 2
 
0.2%
02-2062-0101 2
 
0.2%
2601-0238 2
 
0.2%
2
 
0.2%
02-2648-1955 2
 
0.2%
2647-3101 2
 
0.2%
2643-1675 2
 
0.2%
Other values (873) 886
97.7%
2024-05-11T16:02:42.222507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1977
20.3%
- 1398
14.4%
0 1343
13.8%
6 1167
12.0%
5 769
 
7.9%
7 603
 
6.2%
8 554
 
5.7%
4 528
 
5.4%
1 512
 
5.3%
9 465
 
4.8%
Other values (4) 413
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8328
85.6%
Dash Punctuation 1398
 
14.4%
Math Symbol 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1977
23.7%
0 1343
16.1%
6 1167
14.0%
5 769
 
9.2%
7 603
 
7.2%
8 554
 
6.7%
4 528
 
6.3%
1 512
 
6.1%
9 465
 
5.6%
3 410
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 1398
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9729
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1977
20.3%
- 1398
14.4%
0 1343
13.8%
6 1167
12.0%
5 769
 
7.9%
7 603
 
6.2%
8 554
 
5.7%
4 528
 
5.4%
1 512
 
5.3%
9 465
 
4.8%
Other values (4) 413
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9729
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1977
20.3%
- 1398
14.4%
0 1343
13.8%
6 1167
12.0%
5 769
 
7.9%
7 603
 
6.2%
8 554
 
5.7%
4 528
 
5.4%
1 512
 
5.3%
9 465
 
4.8%
Other values (4) 413
 
4.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing986
Missing (%)100.0%
Memory size8.8 KiB

소재지우편번호
Text

MISSING 

Distinct99
Distinct (%)39.3%
Missing734
Missing (%)74.4%
Memory size7.8 KiB
2024-05-11T16:02:42.605113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1468254
Min length6

Characters and Unicode

Total characters1549
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 (%)21.8%

Sample

1st row158885
2nd row158827
3rd row158758
4th row158071
5th row158819
ValueCountFrequency (%)
158051 20
 
7.9%
158074 17
 
6.7%
158811 12
 
4.8%
158806 12
 
4.8%
158860 9
 
3.6%
158055 7
 
2.8%
158857 6
 
2.4%
158071 6
 
2.4%
158-074 6
 
2.4%
158861 5
 
2.0%
Other values (89) 152
60.3%
2024-05-11T16:02:43.067055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 408
26.3%
5 340
21.9%
1 337
21.8%
0 139
 
9.0%
7 96
 
6.2%
6 58
 
3.7%
4 51
 
3.3%
- 37
 
2.4%
2 34
 
2.2%
9 31
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1512
97.6%
Dash Punctuation 37
 
2.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 408
27.0%
5 340
22.5%
1 337
22.3%
0 139
 
9.2%
7 96
 
6.3%
6 58
 
3.8%
4 51
 
3.4%
2 34
 
2.2%
9 31
 
2.1%
3 18
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1549
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 408
26.3%
5 340
21.9%
1 337
21.8%
0 139
 
9.0%
7 96
 
6.2%
6 58
 
3.7%
4 51
 
3.3%
- 37
 
2.4%
2 34
 
2.2%
9 31
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1549
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 408
26.3%
5 340
21.9%
1 337
21.8%
0 139
 
9.0%
7 96
 
6.2%
6 58
 
3.7%
4 51
 
3.3%
- 37
 
2.4%
2 34
 
2.2%
9 31
 
2.0%

지번주소
Text

MISSING 

Distinct725
Distinct (%)87.0%
Missing153
Missing (%)15.5%
Memory size7.8 KiB
2024-05-11T16:02:43.545944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length44
Mean length26.507803
Min length16

Characters and Unicode

Total characters22081
Distinct characters220
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

Unique656 ?
Unique (%)78.8%

Sample

1st row서울특별시 양천구 신정동 321번지 5호
2nd row서울특별시 양천구 목2동 530-5
3rd row서울특별시 양천구 목동 605번지 2호
4th row서울특별시 양천구 목3동 602-1
5th row서울특별시 양천구 신정4동 973-34
ValueCountFrequency (%)
서울특별시 830
17.6%
양천구 830
17.6%
목동 299
 
6.3%
신정동 234
 
5.0%
신월동 104
 
2.2%
2층 103
 
2.2%
1호 94
 
2.0%
3층 67
 
1.4%
2호 44
 
0.9%
4층 40
 
0.8%
Other values (729) 2065
43.8%
2024-05-11T16:02:44.222362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3884
 
17.6%
1 966
 
4.4%
928
 
4.2%
840
 
3.8%
838
 
3.8%
837
 
3.8%
831
 
3.8%
830
 
3.8%
830
 
3.8%
830
 
3.8%
Other values (210) 10467
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12917
58.5%
Decimal Number 4900
 
22.2%
Space Separator 3884
 
17.6%
Dash Punctuation 211
 
1.0%
Other Punctuation 79
 
0.4%
Close Punctuation 34
 
0.2%
Open Punctuation 34
 
0.2%
Uppercase Letter 15
 
0.1%
Math Symbol 3
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
928
 
7.2%
840
 
6.5%
838
 
6.5%
837
 
6.5%
831
 
6.4%
830
 
6.4%
830
 
6.4%
830
 
6.4%
830
 
6.4%
720
 
5.6%
Other values (183) 4603
35.6%
Decimal Number
ValueCountFrequency (%)
1 966
19.7%
2 730
14.9%
0 625
12.8%
4 460
9.4%
3 458
9.3%
9 431
8.8%
5 322
 
6.6%
6 322
 
6.6%
7 319
 
6.5%
8 267
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
B 7
46.7%
A 5
33.3%
I 1
 
6.7%
N 1
 
6.7%
G 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 75
94.9%
? 2
 
2.5%
@ 2
 
2.5%
Open Punctuation
ValueCountFrequency (%)
( 32
94.1%
[ 2
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
l 2
66.7%
b 1
33.3%
Space Separator
ValueCountFrequency (%)
3884
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 211
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12918
58.5%
Common 9145
41.4%
Latin 18
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
928
 
7.2%
840
 
6.5%
838
 
6.5%
837
 
6.5%
831
 
6.4%
830
 
6.4%
830
 
6.4%
830
 
6.4%
830
 
6.4%
720
 
5.6%
Other values (184) 4604
35.6%
Common
ValueCountFrequency (%)
3884
42.5%
1 966
 
10.6%
2 730
 
8.0%
0 625
 
6.8%
4 460
 
5.0%
3 458
 
5.0%
9 431
 
4.7%
5 322
 
3.5%
6 322
 
3.5%
7 319
 
3.5%
Other values (9) 628
 
6.9%
Latin
ValueCountFrequency (%)
B 7
38.9%
A 5
27.8%
l 2
 
11.1%
b 1
 
5.6%
I 1
 
5.6%
N 1
 
5.6%
G 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12917
58.5%
ASCII 9163
41.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3884
42.4%
1 966
 
10.5%
2 730
 
8.0%
0 625
 
6.8%
4 460
 
5.0%
3 458
 
5.0%
9 431
 
4.7%
5 322
 
3.5%
6 322
 
3.5%
7 319
 
3.5%
Other values (16) 646
 
7.1%
Hangul
ValueCountFrequency (%)
928
 
7.2%
840
 
6.5%
838
 
6.5%
837
 
6.5%
831
 
6.4%
830
 
6.4%
830
 
6.4%
830
 
6.4%
830
 
6.4%
720
 
5.6%
Other values (183) 4603
35.6%
None
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

MISSING 

Distinct783
Distinct (%)87.6%
Missing92
Missing (%)9.3%
Memory size7.8 KiB
2024-05-11T16:02:44.548988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length49
Mean length31.872483
Min length21

Characters and Unicode

Total characters28494
Distinct characters259
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique701 ?
Unique (%)78.4%

Sample

1st row서울특별시 양천구 목동서로 339 (신정동)
2nd row서울특별시 양천구 목동중앙본로 122 (목동)
3rd row서울특별시 양천구 공항대로 534 (목동)
4th row서울특별시 양천구 공항대로 564 (목동)
5th row서울특별시 양천구 중앙로 247, 3층 (신정동)
ValueCountFrequency (%)
서울특별시 894
 
15.5%
양천구 894
 
15.5%
목동 418
 
7.3%
신정동 352
 
6.1%
2층 160
 
2.8%
신월동 146
 
2.5%
오목로 126
 
2.2%
3층 109
 
1.9%
목동동로 86
 
1.5%
신월로 76
 
1.3%
Other values (769) 2502
43.4%
2024-05-11T16:02:45.118933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4872
 
17.1%
1478
 
5.2%
, 1085
 
3.8%
992
 
3.5%
976
 
3.4%
938
 
3.3%
932
 
3.3%
910
 
3.2%
897
 
3.1%
897
 
3.1%
Other values (249) 14517
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16455
57.7%
Space Separator 4872
 
17.1%
Decimal Number 4165
 
14.6%
Other Punctuation 1089
 
3.8%
Close Punctuation 897
 
3.1%
Open Punctuation 897
 
3.1%
Dash Punctuation 46
 
0.2%
Uppercase Letter 40
 
0.1%
Math Symbol 22
 
0.1%
Lowercase Letter 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1478
 
9.0%
992
 
6.0%
976
 
5.9%
938
 
5.7%
932
 
5.7%
910
 
5.5%
897
 
5.5%
897
 
5.5%
894
 
5.4%
894
 
5.4%
Other values (215) 6647
40.4%
Uppercase Letter
ValueCountFrequency (%)
A 9
22.5%
B 8
20.0%
R 4
10.0%
S 3
 
7.5%
I 3
 
7.5%
C 2
 
5.0%
H 2
 
5.0%
Q 2
 
5.0%
U 2
 
5.0%
E 2
 
5.0%
Other values (3) 3
 
7.5%
Decimal Number
ValueCountFrequency (%)
2 874
21.0%
3 658
15.8%
1 587
14.1%
0 511
12.3%
4 384
9.2%
5 345
 
8.3%
6 251
 
6.0%
7 229
 
5.5%
9 176
 
4.2%
8 150
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 1085
99.6%
? 2
 
0.2%
. 1
 
0.1%
@ 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
l 10
90.9%
a 1
 
9.1%
Space Separator
ValueCountFrequency (%)
4872
100.0%
Close Punctuation
ValueCountFrequency (%)
) 897
100.0%
Open Punctuation
ValueCountFrequency (%)
( 897
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Math Symbol
ValueCountFrequency (%)
~ 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16455
57.7%
Common 11988
42.1%
Latin 51
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1478
 
9.0%
992
 
6.0%
976
 
5.9%
938
 
5.7%
932
 
5.7%
910
 
5.5%
897
 
5.5%
897
 
5.5%
894
 
5.4%
894
 
5.4%
Other values (215) 6647
40.4%
Common
ValueCountFrequency (%)
4872
40.6%
, 1085
 
9.1%
) 897
 
7.5%
( 897
 
7.5%
2 874
 
7.3%
3 658
 
5.5%
1 587
 
4.9%
0 511
 
4.3%
4 384
 
3.2%
5 345
 
2.9%
Other values (9) 878
 
7.3%
Latin
ValueCountFrequency (%)
l 10
19.6%
A 9
17.6%
B 8
15.7%
R 4
 
7.8%
S 3
 
5.9%
I 3
 
5.9%
C 2
 
3.9%
H 2
 
3.9%
Q 2
 
3.9%
U 2
 
3.9%
Other values (5) 6
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16455
57.7%
ASCII 12039
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4872
40.5%
, 1085
 
9.0%
) 897
 
7.5%
( 897
 
7.5%
2 874
 
7.3%
3 658
 
5.5%
1 587
 
4.9%
0 511
 
4.2%
4 384
 
3.2%
5 345
 
2.9%
Other values (24) 929
 
7.7%
Hangul
ValueCountFrequency (%)
1478
 
9.0%
992
 
6.0%
976
 
5.9%
938
 
5.7%
932
 
5.7%
910
 
5.5%
897
 
5.5%
897
 
5.5%
894
 
5.4%
894
 
5.4%
Other values (215) 6647
40.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct164
Distinct (%)18.3%
Missing92
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean21792.225
Minimum7902
Maximum158876
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2024-05-11T16:02:45.313399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7902
5-th percentile7923
Q17961
median8005
Q38064
95-th percentile158074
Maximum158876
Range150974
Interquartile range (IQR)103

Descriptive statistics

Standard deviation43418.043
Coefficient of variation (CV)1.992364
Kurtosis6.0441276
Mean21792.225
Median Absolute Deviation (MAD)53
Skewness2.8338163
Sum19482249
Variance1.8851265 × 109
MonotonicityNot monotonic
2024-05-11T16:02:45.550225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7946 51
 
5.2%
7938 33
 
3.3%
8093 28
 
2.8%
8082 26
 
2.6%
7999 23
 
2.3%
7983 22
 
2.2%
7997 22
 
2.2%
8073 19
 
1.9%
7993 18
 
1.8%
8064 18
 
1.8%
Other values (154) 634
64.3%
(Missing) 92
 
9.3%
ValueCountFrequency (%)
7902 3
0.3%
7903 4
0.4%
7905 3
0.3%
7909 3
0.3%
7910 7
0.7%
7912 3
0.3%
7917 2
 
0.2%
7919 2
 
0.2%
7920 6
0.6%
7921 3
0.3%
ValueCountFrequency (%)
158876 1
 
0.1%
158865 3
0.3%
158864 1
 
0.1%
158861 2
0.2%
158860 1
 
0.1%
158857 1
 
0.1%
158852 2
0.2%
158851 3
0.3%
158849 1
 
0.1%
158838 1
 
0.1%
Distinct956
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
2024-05-11T16:02:45.870476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length7.4097363
Min length3

Characters and Unicode

Total characters7306
Distinct characters419
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique928 ?
Unique (%)94.1%

Sample

1st row양천구보건소
2nd row동남한의원
3rd row서울정형외과의원
4th row이용민치과의원
5th row김길중소아과의원
ValueCountFrequency (%)
아이비의원 3
 
0.3%
목동 3
 
0.3%
목동리더스피부과의원 3
 
0.3%
사단법인 3
 
0.3%
아토미의원 2
 
0.2%
리유외과의원 2
 
0.2%
미래소아청소년과의원 2
 
0.2%
목동제일정형외과의원 2
 
0.2%
아토미한의원 2
 
0.2%
목동치과의원 2
 
0.2%
Other values (961) 983
97.6%
2024-05-11T16:02:46.290221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1056
 
14.5%
1003
 
13.7%
618
 
8.5%
283
 
3.9%
255
 
3.5%
135
 
1.8%
119
 
1.6%
112
 
1.5%
97
 
1.3%
97
 
1.3%
Other values (409) 3531
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7221
98.8%
Decimal Number 44
 
0.6%
Space Separator 21
 
0.3%
Other Punctuation 5
 
0.1%
Uppercase Letter 5
 
0.1%
Lowercase Letter 4
 
0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1056
 
14.6%
1003
 
13.9%
618
 
8.6%
283
 
3.9%
255
 
3.5%
135
 
1.9%
119
 
1.6%
112
 
1.6%
97
 
1.3%
97
 
1.3%
Other values (387) 3446
47.7%
Decimal Number
ValueCountFrequency (%)
5 9
20.5%
6 9
20.5%
3 9
20.5%
1 7
15.9%
4 6
13.6%
2 3
 
6.8%
0 1
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
S 1
20.0%
W 1
20.0%
J 1
20.0%
C 1
20.0%
K 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
25.0%
g 1
25.0%
n 1
25.0%
a 1
25.0%
Other Punctuation
ValueCountFrequency (%)
& 2
40.0%
, 2
40.0%
. 1
20.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7220
98.8%
Common 76
 
1.0%
Latin 9
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1056
 
14.6%
1003
 
13.9%
618
 
8.6%
283
 
3.9%
255
 
3.5%
135
 
1.9%
119
 
1.6%
112
 
1.6%
97
 
1.3%
97
 
1.3%
Other values (386) 3445
47.7%
Common
ValueCountFrequency (%)
21
27.6%
5 9
11.8%
6 9
11.8%
3 9
11.8%
1 7
 
9.2%
4 6
 
7.9%
( 3
 
3.9%
) 3
 
3.9%
2 3
 
3.9%
& 2
 
2.6%
Other values (3) 4
 
5.3%
Latin
ValueCountFrequency (%)
S 1
11.1%
e 1
11.1%
W 1
11.1%
g 1
11.1%
n 1
11.1%
a 1
11.1%
J 1
11.1%
C 1
11.1%
K 1
11.1%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7220
98.8%
ASCII 85
 
1.2%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1056
 
14.6%
1003
 
13.9%
618
 
8.6%
283
 
3.9%
255
 
3.5%
135
 
1.9%
119
 
1.6%
112
 
1.6%
97
 
1.3%
97
 
1.3%
Other values (386) 3445
47.7%
ASCII
ValueCountFrequency (%)
21
24.7%
5 9
10.6%
6 9
10.6%
3 9
10.6%
1 7
 
8.2%
4 6
 
7.1%
( 3
 
3.5%
) 3
 
3.5%
2 3
 
3.5%
& 2
 
2.4%
Other values (12) 13
15.3%
CJK
ValueCountFrequency (%)
1
100.0%
Distinct832
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
Minimum2008-12-04 13:30:08
Maximum2024-05-09 22:13:17
2024-05-11T16:02:46.432738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:02:46.583675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
U
582 
I
404 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 582
59.0%
I 404
41.0%

Length

2024-05-11T16:02:46.733440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:46.852821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 582
59.0%
i 404
41.0%
Distinct378
Distinct (%)38.3%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T16:02:46.977698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:02:47.117429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
의원
492 
치과의원
250 
한의원
243 
보건소
 
1

Length

Max length4
Median length3
Mean length2.7545639
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
의원 492
49.9%
치과의원 250
25.4%
한의원 243
24.6%
보건소 1
 
0.1%

Length

2024-05-11T16:02:47.268276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:47.411645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 492
49.9%
치과의원 250
25.4%
한의원 243
24.6%
보건소 1
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct424
Distinct (%)47.1%
Missing85
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean187636.32
Minimum184579.15
Maximum189755.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2024-05-11T16:02:47.526060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184579.15
5-th percentile185178
Q1186953.2
median187917.43
Q3188584.35
95-th percentile189197.51
Maximum189755.54
Range5176.3874
Interquartile range (IQR)1631.1457

Descriptive statistics

Standard deviation1229.7251
Coefficient of variation (CV)0.006553769
Kurtosis-0.2630368
Mean187636.32
Median Absolute Deviation (MAD)812.07835
Skewness-0.7956533
Sum1.6906033 × 108
Variance1512223.9
MonotonicityNot monotonic
2024-05-11T16:02:47.674351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
188953.066831076 18
 
1.8%
188860.887455631 13
 
1.3%
187948.252898047 13
 
1.3%
188951.756197598 13
 
1.3%
187923.919592336 10
 
1.0%
187852.723365018 9
 
0.9%
189197.506088261 9
 
0.9%
185962.809546697 9
 
0.9%
187891.378890719 9
 
0.9%
187903.955709963 8
 
0.8%
Other values (414) 790
80.1%
(Missing) 85
 
8.6%
ValueCountFrequency (%)
184579.153873266 1
 
0.1%
184682.570481069 1
 
0.1%
184694.338669981 3
0.3%
184698.083646784 4
0.4%
184705.839940901 3
0.3%
184720.813532269 2
0.2%
184727.875421797 1
 
0.1%
184728.728549355 1
 
0.1%
184745.326179726 2
0.2%
184748.532781957 1
 
0.1%
ValueCountFrequency (%)
189755.541308355 2
 
0.2%
189676.766585898 2
 
0.2%
189643.735000001 1
 
0.1%
189519.862506193 1
 
0.1%
189512.045139098 2
 
0.2%
189508.199599752 1
 
0.1%
189473.530827695 3
0.3%
189471.306217651 2
 
0.2%
189423.528553032 1
 
0.1%
189371.998478153 7
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct424
Distinct (%)47.1%
Missing85
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean447272.61
Minimum445093.79
Maximum449843.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2024-05-11T16:02:47.877787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum445093.79
5-th percentile445678.08
Q1446517.09
median446987.91
Q3448073.36
95-th percentile449610.72
Maximum449843.2
Range4749.4105
Interquartile range (IQR)1556.273

Descriptive statistics

Standard deviation1141.4711
Coefficient of variation (CV)0.0025520703
Kurtosis-0.29454324
Mean447272.61
Median Absolute Deviation (MAD)667.27853
Skewness0.67358766
Sum4.0299262 × 108
Variance1302956.3
MonotonicityNot monotonic
2024-05-11T16:02:48.025548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447333.569187997 18
 
1.8%
446682.626199308 13
 
1.3%
446969.388649775 13
 
1.3%
447246.938313599 13
 
1.3%
447850.891096367 10
 
1.0%
447149.18316504 9
 
0.9%
448244.523188923 9
 
0.9%
446176.170952681 9
 
0.9%
447174.379218185 9
 
0.9%
447091.855963511 9
 
0.9%
Other values (414) 789
80.0%
(Missing) 85
 
8.6%
ValueCountFrequency (%)
445093.792485881 1
 
0.1%
445104.207668176 1
 
0.1%
445124.131588947 8
0.8%
445180.40867328 3
 
0.3%
445188.515421493 1
 
0.1%
445256.468917074 1
 
0.1%
445297.986765501 1
 
0.1%
445396.416355651 4
0.4%
445428.447103333 3
 
0.3%
445479.209299057 2
 
0.2%
ValueCountFrequency (%)
449843.203005652 1
 
0.1%
449829.781506514 1
 
0.1%
449818.630707327 1
 
0.1%
449783.451870726 1
 
0.1%
449767.441786782 3
0.3%
449753.158413664 1
 
0.1%
449727.47955699 5
0.5%
449706.807437882 2
 
0.2%
449701.802558519 5
0.5%
449683.219205227 1
 
0.1%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
<NA>
376 
의원
322 
치과의원
168 
한의원
119 
보건소
 
1

Length

Max length4
Median length4
Mean length3.2251521
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 376
38.1%
의원 322
32.7%
치과의원 168
17.0%
한의원 119
 
12.1%
보건소 1
 
0.1%

Length

2024-05-11T16:02:48.193605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:48.327079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 376
38.1%
의원 322
32.7%
치과의원 168
17.0%
한의원 119
 
12.1%
보건소 1
 
0.1%

의료인수
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)1.6%
Missing376
Missing (%)38.1%
Infinite0
Infinite (%)0.0%
Mean1.257377
Minimum0
Maximum20
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2024-05-11T16:02:48.469675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0446453
Coefficient of variation (CV)0.83081306
Kurtosis178.53526
Mean1.257377
Median Absolute Deviation (MAD)0
Skewness11.210405
Sum767
Variance1.0912837
MonotonicityNot monotonic
2024-05-11T16:02:48.599013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 516
52.3%
2 64
 
6.5%
3 18
 
1.8%
4 4
 
0.4%
0 2
 
0.2%
5 2
 
0.2%
9 1
 
0.1%
6 1
 
0.1%
8 1
 
0.1%
20 1
 
0.1%
(Missing) 376
38.1%
ValueCountFrequency (%)
0 2
 
0.2%
1 516
52.3%
2 64
 
6.5%
3 18
 
1.8%
4 4
 
0.4%
5 2
 
0.2%
6 1
 
0.1%
8 1
 
0.1%
9 1
 
0.1%
20 1
 
0.1%
ValueCountFrequency (%)
20 1
 
0.1%
9 1
 
0.1%
8 1
 
0.1%
6 1
 
0.1%
5 2
 
0.2%
4 4
 
0.4%
3 18
 
1.8%
2 64
 
6.5%
1 516
52.3%
0 2
 
0.2%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)1.8%
Missing376
Missing (%)38.1%
Infinite0
Infinite (%)0.0%
Mean0.20819672
Minimum0
Maximum12
Zeros578
Zeros (%)58.6%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2024-05-11T16:02:48.729851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1522513
Coefficient of variation (CV)5.5344355
Kurtosis52.670483
Mean0.20819672
Median Absolute Deviation (MAD)0
Skewness6.9399285
Sum127
Variance1.3276831
MonotonicityNot monotonic
2024-05-11T16:02:48.856083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 578
58.6%
1 10
 
1.0%
2 5
 
0.5%
3 4
 
0.4%
10 3
 
0.3%
5 3
 
0.3%
6 2
 
0.2%
7 2
 
0.2%
4 1
 
0.1%
12 1
 
0.1%
(Missing) 376
38.1%
ValueCountFrequency (%)
0 578
58.6%
1 10
 
1.0%
2 5
 
0.5%
3 4
 
0.4%
4 1
 
0.1%
5 3
 
0.3%
6 2
 
0.2%
7 2
 
0.2%
8 1
 
0.1%
10 3
 
0.3%
ValueCountFrequency (%)
12 1
 
0.1%
10 3
 
0.3%
8 1
 
0.1%
7 2
 
0.2%
6 2
 
0.2%
5 3
 
0.3%
4 1
 
0.1%
3 4
 
0.4%
2 5
0.5%
1 10
1.0%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)2.8%
Missing376
Missing (%)38.1%
Infinite0
Infinite (%)0.0%
Mean0.45081967
Minimum0
Maximum29
Zeros577
Zeros (%)58.5%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2024-05-11T16:02:48.982455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum29
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.8194214
Coefficient of variation (CV)6.2539894
Kurtosis70.147916
Mean0.45081967
Median Absolute Deviation (MAD)0
Skewness8.0888493
Sum275
Variance7.9491373
MonotonicityNot monotonic
2024-05-11T16:02:49.110807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 577
58.5%
2 8
 
0.8%
3 5
 
0.5%
1 4
 
0.4%
29 3
 
0.3%
7 2
 
0.2%
8 1
 
0.1%
6 1
 
0.1%
5 1
 
0.1%
9 1
 
0.1%
Other values (7) 7
 
0.7%
(Missing) 376
38.1%
ValueCountFrequency (%)
0 577
58.5%
1 4
 
0.4%
2 8
 
0.8%
3 5
 
0.5%
4 1
 
0.1%
5 1
 
0.1%
6 1
 
0.1%
7 2
 
0.2%
8 1
 
0.1%
9 1
 
0.1%
ValueCountFrequency (%)
29 3
0.3%
24 1
 
0.1%
22 1
 
0.1%
20 1
 
0.1%
16 1
 
0.1%
15 1
 
0.1%
10 1
 
0.1%
9 1
 
0.1%
8 1
 
0.1%
7 2
0.2%

총면적
Real number (ℝ)

MISSING  SKEWED 

Distinct543
Distinct (%)89.0%
Missing376
Missing (%)38.1%
Infinite0
Infinite (%)0.0%
Mean304.03851
Minimum0
Maximum99999
Zeros6
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2024-05-11T16:02:49.254754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile47.9175
Q182.605
median112.69
Q3164.275
95-th percentile302.6335
Maximum99999
Range99999
Interquartile range (IQR)81.67

Descriptive statistics

Standard deviation4044.5345
Coefficient of variation (CV)13.302705
Kurtosis609.16659
Mean304.03851
Median Absolute Deviation (MAD)36.69
Skewness24.672966
Sum185463.49
Variance16358259
MonotonicityNot monotonic
2024-05-11T16:02:49.412529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66.0 7
 
0.7%
0.0 6
 
0.6%
82.5 6
 
0.6%
99.0 5
 
0.5%
100.0 4
 
0.4%
178.98 3
 
0.3%
76.0 3
 
0.3%
168.52 3
 
0.3%
82.0 3
 
0.3%
165.0 3
 
0.3%
Other values (533) 567
57.5%
(Missing) 376
38.1%
ValueCountFrequency (%)
0.0 6
0.6%
12.58 1
 
0.1%
25.8 1
 
0.1%
29.18 1
 
0.1%
30.0 1
 
0.1%
30.69 1
 
0.1%
30.79 1
 
0.1%
31.99 1
 
0.1%
33.0 1
 
0.1%
35.24 1
 
0.1%
ValueCountFrequency (%)
99999.0 1
0.1%
884.12 1
0.1%
842.0 1
0.1%
807.36 1
0.1%
800.82 1
0.1%
727.27 1
0.1%
646.0 1
0.1%
629.84 1
0.1%
621.76 1
0.1%
526.9 1
0.1%

진료과목내용
Text

MISSING 

Distinct195
Distinct (%)32.0%
Missing376
Missing (%)38.1%
Memory size7.8 KiB
2024-05-11T16:02:49.638957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length3
Mean length11.255738
Min length3

Characters and Unicode

Total characters6866
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

Unique148 ?
Unique (%)24.3%

Sample

1st row601
2nd row301
3rd row105
4th row401
5th row111
ValueCountFrequency (%)
101 156
 
8.3%
401 137
 
7.3%
301 118
 
6.3%
114 105
 
5.6%
111 101
 
5.4%
113 83
 
4.4%
302 80
 
4.3%
308 79
 
4.2%
304 77
 
4.1%
303 75
 
4.0%
Other values (46) 858
45.9%
2024-05-11T16:02:50.077874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1811
26.4%
0 1408
20.5%
1259
18.3%
3 839
12.2%
4 618
 
9.0%
2 332
 
4.8%
5 179
 
2.6%
8 137
 
2.0%
6 124
 
1.8%
7 95
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5607
81.7%
Space Separator 1259
 
18.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1811
32.3%
0 1408
25.1%
3 839
15.0%
4 618
 
11.0%
2 332
 
5.9%
5 179
 
3.2%
8 137
 
2.4%
6 124
 
2.2%
7 95
 
1.7%
9 64
 
1.1%
Space Separator
ValueCountFrequency (%)
1259
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6866
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1811
26.4%
0 1408
20.5%
1259
18.3%
3 839
12.2%
4 618
 
9.0%
2 332
 
4.8%
5 179
 
2.6%
8 137
 
2.0%
6 124
 
1.8%
7 95
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6866
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1811
26.4%
0 1408
20.5%
1259
18.3%
3 839
12.2%
4 618
 
9.0%
2 332
 
4.8%
5 179
 
2.6%
8 137
 
2.0%
6 124
 
1.8%
7 95
 
1.4%

진료과목내용명
Text

MISSING 

Distinct146
Distinct (%)23.9%
Missing376
Missing (%)38.1%
Memory size7.8 KiB
2024-05-11T16:02:50.667288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length73
Mean length18.240984
Min length2

Characters and Unicode

Total characters11127
Distinct characters67
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)15.7%

Sample

1st row보건소
2nd row한방내과
3rd row정형외과
4th row치과
5th row소아청소년과
ValueCountFrequency (%)
내과 156
 
8.3%
치과 139
 
7.4%
한방내과 118
 
6.3%
피부과 105
 
5.6%
소아청소년과 101
 
5.4%
이비인후과 83
 
4.4%
한방부인과 80
 
4.3%
침구과 79
 
4.2%
한방안?이비인후?피부과 77
 
4.1%
한방소아과 75
 
4.0%
Other values (36) 856
45.8%
2024-05-11T16:02:51.160517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1950
17.5%
1259
 
11.3%
, 1259
 
11.3%
521
 
4.7%
493
 
4.4%
327
 
2.9%
303
 
2.7%
299
 
2.7%
286
 
2.6%
283
 
2.5%
Other values (57) 4147
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8455
76.0%
Other Punctuation 1413
 
12.7%
Space Separator 1259
 
11.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1950
23.1%
521
 
6.2%
493
 
5.8%
327
 
3.9%
303
 
3.6%
299
 
3.5%
286
 
3.4%
283
 
3.3%
282
 
3.3%
263
 
3.1%
Other values (54) 3448
40.8%
Other Punctuation
ValueCountFrequency (%)
, 1259
89.1%
? 154
 
10.9%
Space Separator
ValueCountFrequency (%)
1259
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8455
76.0%
Common 2672
 
24.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1950
23.1%
521
 
6.2%
493
 
5.8%
327
 
3.9%
303
 
3.6%
299
 
3.5%
286
 
3.4%
283
 
3.3%
282
 
3.3%
263
 
3.1%
Other values (54) 3448
40.8%
Common
ValueCountFrequency (%)
1259
47.1%
, 1259
47.1%
? 154
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8455
76.0%
ASCII 2672
 
24.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1950
23.1%
521
 
6.2%
493
 
5.8%
327
 
3.9%
303
 
3.6%
299
 
3.5%
286
 
3.4%
283
 
3.3%
282
 
3.3%
263
 
3.1%
Other values (54) 3448
40.8%
ASCII
ValueCountFrequency (%)
1259
47.1%
, 1259
47.1%
? 154
 
5.8%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing986
Missing (%)100.0%
Memory size8.8 KiB

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing986
Missing (%)100.0%
Memory size8.8 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing986
Missing (%)100.0%
Memory size8.8 KiB

구급차특수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
0
610 
<NA>
376 

Length

Max length4
Median length1
Mean length2.1440162
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 610
61.9%
<NA> 376
38.1%

Length

2024-05-11T16:02:51.343915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:51.470919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 610
61.9%
na 376
38.1%

구급차일반
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
0
610 
<NA>
376 

Length

Max length4
Median length1
Mean length2.1440162
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 610
61.9%
<NA> 376
38.1%

Length

2024-05-11T16:02:51.602580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:51.732390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 610
61.9%
na 376
38.1%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing986
Missing (%)100.0%
Memory size8.8 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing986
Missing (%)100.0%
Memory size8.8 KiB

허가병상수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
0
610 
<NA>
376 

Length

Max length4
Median length1
Mean length2.1440162
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 610
61.9%
<NA> 376
38.1%

Length

2024-05-11T16:02:51.871236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:52.012844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 610
61.9%
na 376
38.1%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing986
Missing (%)100.0%
Memory size8.8 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03140000PHMA11900314003304110000119000101<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2620-4340<NA>158885서울특별시 양천구 신정동 321번지 5호서울특별시 양천구 목동서로 339 (신정동)8095양천구보건소2021-01-28 10:15:58U2021-01-30 02:40:00.0보건소188075.310229446164.695659보건소90099999.0601보건소<NA><NA><NA>00<NA><NA>0<NA>
13140000PHMA11970314003304110000119701118<NA>3폐업3폐업20120322<NA><NA><NA>2646-2346<NA><NA>서울특별시 양천구 목2동 530-5서울특별시 양천구 목동중앙본로 122 (목동)158052동남한의원2012-03-22 13:30:00I2018-08-31 23:59:59.0한의원188589.976159449347.953712한의원10092.79301한방내과<NA><NA><NA>00<NA><NA>0<NA>
23140000PHMA11974314003304110000119740420<NA>3폐업3폐업20170406<NA><NA><NA>02-2642-6617<NA><NA>서울특별시 양천구 목동 605번지 2호서울특별시 양천구 공항대로 534 (목동)7946서울정형외과의원2017-04-07 11:01:43I2018-08-31 23:59:59.0의원188025.032003449818.630707의원11010727.27105정형외과<NA><NA><NA>00<NA><NA>0<NA>
33140000PHMA11977314003304110000119770516<NA>3폐업3폐업20121115<NA><NA><NA>642-4815<NA><NA>서울특별시 양천구 목3동 602-1서울특별시 양천구 공항대로 564 (목동)158811이용민치과의원2012-11-15 15:01:51I2018-08-31 23:59:59.0치과의원188253.377395449654.079009치과의원10082.0401치과<NA><NA><NA>00<NA><NA>0<NA>
43140000PHMA11978314003304110000119780516<NA>3폐업3폐업20100730<NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정4동 973-34<NA><NA>김길중소아과의원2010-08-09 17:49:57I2018-08-31 23:59:59.0의원<NA><NA>의원10062.41111소아청소년과<NA><NA><NA>00<NA><NA>0<NA>
53140000PHMA11978314003304110000219780529<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2603-8609<NA><NA>서울특별시 양천구 신정동 1182번지 7호 3층서울특별시 양천구 중앙로 247, 3층 (신정동)8073이종만치과의원2019-10-04 02:13:13U2019-10-06 02:40:00.0치과의원186971.76917446249.655024치과의원20092.4401치과<NA><NA><NA>00<NA><NA>0<NA>
63140000PHMA1197831400330411000031978-12-08<NA>3폐업3폐업2023-06-19<NA><NA><NA>2646-1327<NA><NA>서울특별시 양천구 목동 513번지 29호서울특별시 양천구 목동중앙본로 128-2 (목동)7968문복강치과의원2023-06-19 19:39:34U2022-12-05 22:01:00.0치과의원188627.014137449385.774987<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73140000PHMA11979314003304110000119790801<NA>3폐업3폐업201301172012122020130320<NA><NA><NA><NA>서울특별시 양천구 신월5동 81-21서울특별시 양천구 가로공원로 119 (신월동)158095이중근내과의원2013-01-17 10:48:22I2018-08-31 23:59:59.0의원184829.306183448254.981722의원100214.5101내과<NA><NA><NA>00<NA><NA>0<NA>
83140000PHMA11979314003304110000219790919<NA>3폐업3폐업20090205<NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정4동 973-31<NA><NA>강서고려의원2009-02-05 14:18:28I2018-08-31 23:59:59.0의원<NA><NA>의원100100.98101내과<NA><NA><NA>00<NA><NA>0<NA>
93140000PHMA11980314003304110000119800315<NA>1영업/정상13영업중<NA><NA><NA><NA>2602-5133<NA><NA>서울특별시 양천구 신월동 146번지 5호서울특별시 양천구 남부순환로 355 (신월동)7920신연수의원2017-09-05 18:39:13I2018-08-31 23:59:59.0의원184813.391143448153.005674의원133158.4101내과<NA><NA><NA>00<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
9763140000PHMA1202431400330411000012024-01-03<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6958-5360<NA><NA>서울특별시 양천구 목동 810-1 타운빌딩서울특별시 양천구 목동로 210, 타운빌딩 6층 601,602호 (목동)7993목동삼성탑내과의원2024-01-10 17:20:57I2023-11-30 23:02:00.0의원187948.252898447246.938314<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9773140000PHMA1202431400330411000022024-01-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2603-3650<NA><NA>서울특별시 양천구 신정동 1191-11 1층 일부, 2층서울특별시 양천구 신월로 280, 1층 일부, 2층 (신정동)8058더건강한365의원2024-04-26 03:43:15U2023-12-03 22:08:00.0의원186828.575715446559.679185<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9783140000PHMA1202431400330411000032024-01-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2645-7975<NA><NA><NA>서울특별시 양천구 등촌로 230, 동향빌딩 1층 (목동)7946청솔한의원2024-02-15 10:32:07U2023-12-01 23:07:00.0한의원187930.037786449767.441787<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9793140000PHMA1202431400330411000042024-02-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2690-7528<NA><NA>서울특별시 양천구 신정동 922-1 제이클래스목동주상복합, 2층 201?202?206호서울특별시 양천구 오목로 147, 2층 201?202?206호 (신정동, 제이클래스목동주상복합)7943서울메디탑치과의원2024-03-28 20:43:14U2023-12-02 21:00:00.0치과의원186991.328453446987.907407<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9803140000PHMA1202431400330411000052024-02-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6958-7373<NA><NA>서울특별시 양천구 신정동 978-17 5층서울특별시 양천구 신월로 327, 5층 (신정동)8027양천에이스내과의원2024-04-01 17:52:24U2023-12-04 00:03:00.0의원187327.221318446637.940797<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9813140000PHMA1202431400330411000062024-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2606-5231<NA><NA>서울특별시 양천구 신정동 1267 뉴프라자서울특별시 양천구 신정로 312, 뉴프라자 5층 503, 504호 (신정동)8106늘솜성모이비인후과의원2024-03-15 03:43:16U2023-12-02 23:07:00.0의원187158.467033445678.076325<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9823140000PHMA1202431400330411000072024-03-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6741-2879<NA><NA>서울특별시 양천구 목동 406-28 목동 슬로우스퀘어서울특별시 양천구 오목로 345, 목동 슬로우스퀘어 4층 411,418,419,420호 (목동)7999연세꿈꾸는치과의원2024-03-29 01:43:17U2023-12-02 21:01:00.0치과의원188951.756198446969.38865<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9833140000PHMA1202431400330411000082024-03-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2088-7588<NA><NA>서울특별시 양천구 목동 615-1서울특별시 양천구 목동중앙북로4길 6, 2층 (목동)7950서울바른신경외과의원2024-04-25 22:13:21U2023-12-03 22:07:00.0의원187946.743092449577.791547<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9843140000PHMA1202431400330411000092024-04-15<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2061-8885<NA><NA>서울특별시 양천구 목동 792-5서울특별시 양천구 등촌로 30, 1,2층 (목동)7965서울건탑재활의학과의원2024-04-26 02:43:17U2023-12-03 22:08:00.0의원187913.002048447838.140921<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9853140000PHMA1202431400330411000102024-05-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 406-28 목동 슬로우스퀘어서울특별시 양천구 오목로 345, 목동 슬로우스퀘어 4층 401,412,413호 (목동)7999목동 더편한 신경과의원2024-05-09 18:07:13I2023-12-04 23:01:00.0의원188951.756198446969.38865<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>