Overview

Dataset statistics

Number of variables41
Number of observations1051
Missing cells15861
Missing cells (%)36.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory358.3 KiB
Average record size in memory349.1 B

Variable types

Categorical10
Text8
DateTime7
Numeric8
Unsupported8

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),의료기관종별명,의료인수,입원실수,병상수,총면적,진료과목내용,진료과목내용명,지정취소일자,완화의료지정형태,완화의료담당부서명,구급차특수,구급차일반,총인원,구조사수,허가병상수,최초지정일자
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-16234/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has constant value ""Constant
영업상태코드 is highly imbalanced (56.7%)Imbalance
영업상태명 is highly imbalanced (56.7%)Imbalance
상세영업상태명 is highly imbalanced (60.9%)Imbalance
인허가취소일자 has 1050 (99.9%) missing valuesMissing
폐업일자 has 701 (66.7%) missing valuesMissing
휴업시작일자 has 1041 (99.0%) missing valuesMissing
휴업종료일자 has 1041 (99.0%) missing valuesMissing
재개업일자 has 1051 (100.0%) missing valuesMissing
전화번호 has 131 (12.5%) missing valuesMissing
소재지면적 has 1051 (100.0%) missing valuesMissing
소재지우편번호 has 583 (55.5%) missing valuesMissing
지번주소 has 106 (10.1%) missing valuesMissing
도로명주소 has 97 (9.2%) missing valuesMissing
도로명우편번호 has 151 (14.4%) missing valuesMissing
좌표정보(X) has 112 (10.7%) missing valuesMissing
좌표정보(Y) has 112 (10.7%) missing valuesMissing
의료인수 has 388 (36.9%) missing valuesMissing
입원실수 has 388 (36.9%) missing valuesMissing
병상수 has 388 (36.9%) missing valuesMissing
총면적 has 388 (36.9%) missing valuesMissing
진료과목내용 has 388 (36.9%) missing valuesMissing
진료과목내용명 has 388 (36.9%) missing valuesMissing
지정취소일자 has 1051 (100.0%) missing valuesMissing
완화의료지정형태 has 1051 (100.0%) missing valuesMissing
완화의료담당부서명 has 1051 (100.0%) missing valuesMissing
총인원 has 1051 (100.0%) missing valuesMissing
구조사수 has 1051 (100.0%) missing valuesMissing
최초지정일자 has 1051 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지정취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료지정형태 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료담당부서명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
구조사수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초지정일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
입원실수 has 623 (59.3%) zerosZeros
병상수 has 602 (57.3%) zerosZeros

Reproduction

Analysis started2024-05-11 08:38:29.463241
Analysis finished2024-05-11 08:38:30.336204
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
3200000
1051 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3200000
2nd row3200000
3rd row3200000
4th row3200000
5th row3200000

Common Values

ValueCountFrequency (%)
3200000 1051
100.0%

Length

2024-05-11T17:38:30.386841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:38:30.459935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 1051
100.0%

관리번호
Text

UNIQUE 

Distinct1051
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-05-11T17:38:30.593828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters26275
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

Unique1051 ?
Unique (%)100.0%

Sample

1st rowPHMA119713200033041100001
2nd rowPHMA119713200033041100002
3rd rowPHMA119713200033041100003
4th rowPHMA119713200033041100004
5th rowPHMA119713200033041100005
ValueCountFrequency (%)
phma119713200033041100001 1
 
0.1%
phma120103200033041100041 1
 
0.1%
phma120103200033041100043 1
 
0.1%
phma120103200033041100044 1
 
0.1%
phma120103200033041100045 1
 
0.1%
phma120103200033041100046 1
 
0.1%
phma120103200033041100047 1
 
0.1%
phma120103200033041100048 1
 
0.1%
phma120103200033041100049 1
 
0.1%
phma120103200033041100050 1
 
0.1%
Other values (1041) 1041
99.0%
2024-05-11T17:38:30.849766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9170
34.9%
1 4242
16.1%
3 3476
 
13.2%
2 2412
 
9.2%
4 1314
 
5.0%
P 1051
 
4.0%
H 1051
 
4.0%
M 1051
 
4.0%
A 1051
 
4.0%
9 587
 
2.2%
Other values (4) 870
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22071
84.0%
Uppercase Letter 4204
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9170
41.5%
1 4242
19.2%
3 3476
 
15.7%
2 2412
 
10.9%
4 1314
 
6.0%
9 587
 
2.7%
8 257
 
1.2%
7 234
 
1.1%
5 199
 
0.9%
6 180
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
P 1051
25.0%
H 1051
25.0%
M 1051
25.0%
A 1051
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22071
84.0%
Latin 4204
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9170
41.5%
1 4242
19.2%
3 3476
 
15.7%
2 2412
 
10.9%
4 1314
 
6.0%
9 587
 
2.7%
8 257
 
1.2%
7 234
 
1.1%
5 199
 
0.9%
6 180
 
0.8%
Latin
ValueCountFrequency (%)
P 1051
25.0%
H 1051
25.0%
M 1051
25.0%
A 1051
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26275
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9170
34.9%
1 4242
16.1%
3 3476
 
13.2%
2 2412
 
9.2%
4 1314
 
5.0%
P 1051
 
4.0%
H 1051
 
4.0%
M 1051
 
4.0%
A 1051
 
4.0%
9 587
 
2.2%
Other values (4) 870
 
3.3%
Distinct868
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
Minimum1971-06-10 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T17:38:30.965166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:38:31.088777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1050
Missing (%)99.9%
Memory size8.3 KiB
Minimum2023-05-03 00:00:00
Maximum2023-05-03 00:00:00
2024-05-11T17:38:31.190109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:38:31.277921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
1
694 
3
346 
5
 
6
4
 
4
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 694
66.0%
3 346
32.9%
5 6
 
0.6%
4 4
 
0.4%
2 1
 
0.1%

Length

2024-05-11T17:38:31.374573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:38:31.474217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 694
66.0%
3 346
32.9%
5 6
 
0.6%
4 4
 
0.4%
2 1
 
0.1%

영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
영업/정상
694 
폐업
346 
제외/삭제/전출
 
6
취소/말소/만료/정지/중지
 
4
휴업
 
1

Length

Max length14
Median length5
Mean length4.0608944
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 694
66.0%
폐업 346
32.9%
제외/삭제/전출 6
 
0.6%
취소/말소/만료/정지/중지 4
 
0.4%
휴업 1
 
0.1%

Length

2024-05-11T17:38:31.577242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:38:31.666216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 694
66.0%
폐업 346
32.9%
제외/삭제/전출 6
 
0.6%
취소/말소/만료/정지/중지 4
 
0.4%
휴업 1
 
0.1%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8306375
Minimum2
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.4 KiB
2024-05-11T17:38:31.746477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median13
Q313
95-th percentile13
Maximum99
Range97
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.5260296
Coefficient of variation (CV)0.56212322
Kurtosis62.948651
Mean9.8306375
Median Absolute Deviation (MAD)0
Skewness3.5760207
Sum10332
Variance30.537003
MonotonicityNot monotonic
2024-05-11T17:38:31.829285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
13 694
66.0%
3 346
32.9%
15 5
 
0.5%
24 4
 
0.4%
2 1
 
0.1%
99 1
 
0.1%
ValueCountFrequency (%)
2 1
 
0.1%
3 346
32.9%
13 694
66.0%
15 5
 
0.5%
24 4
 
0.4%
99 1
 
0.1%
ValueCountFrequency (%)
99 1
 
0.1%
24 4
 
0.4%
15 5
 
0.5%
13 694
66.0%
3 346
32.9%
2 1
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
영업중
694 
폐업
346 
전출
 
5
직권폐업
 
4
휴업
 
1

Length

Max length4
Median length3
Mean length2.6679353
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 694
66.0%
폐업 346
32.9%
전출 5
 
0.5%
직권폐업 4
 
0.4%
휴업 1
 
0.1%
삭제 1
 
0.1%

Length

2024-05-11T17:38:31.952716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:38:32.048480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 694
66.0%
폐업 346
32.9%
전출 5
 
0.5%
직권폐업 4
 
0.4%
휴업 1
 
0.1%
삭제 1
 
0.1%

폐업일자
Date

MISSING 

Distinct326
Distinct (%)93.1%
Missing701
Missing (%)66.7%
Memory size8.3 KiB
Minimum2005-09-01 00:00:00
Maximum2024-05-01 00:00:00
2024-05-11T17:38:32.153401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:38:32.268992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct10
Distinct (%)100.0%
Missing1041
Missing (%)99.0%
Memory size8.3 KiB
Minimum2009-03-07 00:00:00
Maximum2023-11-08 00:00:00
2024-05-11T17:38:32.359108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:38:32.446065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

휴업종료일자
Date

MISSING 

Distinct10
Distinct (%)100.0%
Missing1041
Missing (%)99.0%
Memory size8.3 KiB
Minimum2009-03-21 00:00:00
Maximum2024-02-01 00:00:00
2024-05-11T17:38:32.546217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:38:32.647802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1051
Missing (%)100.0%
Memory size9.4 KiB

전화번호
Text

MISSING 

Distinct897
Distinct (%)97.5%
Missing131
Missing (%)12.5%
Memory size8.3 KiB
2024-05-11T17:38:32.903369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.469565
Min length8

Characters and Unicode

Total characters9632
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique876 ?
Unique (%)95.2%

Sample

1st row02-877-2875
2nd row02-877-8052
3rd row02-877-2252
4th row02-886-0003
5th row02-3661-1138
ValueCountFrequency (%)
02-524-1730 3
 
0.3%
886-7582 3
 
0.3%
588-1100 2
 
0.2%
875-0028 2
 
0.2%
02-878-1357 2
 
0.2%
02-873-7575 2
 
0.2%
02-875-6497 2
 
0.2%
546-6045 2
 
0.2%
863-8623 2
 
0.2%
873-6615 2
 
0.2%
Other values (887) 898
97.6%
2024-05-11T17:38:33.248215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 1684
17.5%
- 1606
16.7%
2 1417
14.7%
0 1200
12.5%
7 1015
10.5%
5 813
8.4%
3 499
 
5.2%
6 444
 
4.6%
1 408
 
4.2%
9 283
 
2.9%
Other values (2) 263
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8025
83.3%
Dash Punctuation 1606
 
16.7%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 1684
21.0%
2 1417
17.7%
0 1200
15.0%
7 1015
12.6%
5 813
10.1%
3 499
 
6.2%
6 444
 
5.5%
1 408
 
5.1%
9 283
 
3.5%
4 262
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 1606
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9632
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 1684
17.5%
- 1606
16.7%
2 1417
14.7%
0 1200
12.5%
7 1015
10.5%
5 813
8.4%
3 499
 
5.2%
6 444
 
4.6%
1 408
 
4.2%
9 283
 
2.9%
Other values (2) 263
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9632
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 1684
17.5%
- 1606
16.7%
2 1417
14.7%
0 1200
12.5%
7 1015
10.5%
5 813
8.4%
3 499
 
5.2%
6 444
 
4.6%
1 408
 
4.2%
9 283
 
2.9%
Other values (2) 263
 
2.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1051
Missing (%)100.0%
Memory size9.4 KiB

소재지우편번호
Text

MISSING 

Distinct151
Distinct (%)32.3%
Missing583
Missing (%)55.5%
Memory size8.3 KiB
2024-05-11T17:38:33.738059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1923077
Min length6

Characters and Unicode

Total characters2898
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

Unique67 ?
Unique (%)14.3%

Sample

1st row151892
2nd row151015
3rd row151-050
4th row151-855
5th row151-015
ValueCountFrequency (%)
151050 43
 
9.2%
151015 31
 
6.6%
151800 13
 
2.8%
151892 11
 
2.4%
151880 11
 
2.4%
151811 11
 
2.4%
151832 11
 
2.4%
151823 11
 
2.4%
151895 9
 
1.9%
151-050 9
 
1.9%
Other values (141) 308
65.8%
2024-05-11T17:38:34.131726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1074
37.1%
5 611
21.1%
8 356
 
12.3%
0 286
 
9.9%
9 108
 
3.7%
3 96
 
3.3%
2 94
 
3.2%
- 90
 
3.1%
4 86
 
3.0%
7 58
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2808
96.9%
Dash Punctuation 90
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1074
38.2%
5 611
21.8%
8 356
 
12.7%
0 286
 
10.2%
9 108
 
3.8%
3 96
 
3.4%
2 94
 
3.3%
4 86
 
3.1%
7 58
 
2.1%
6 39
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 90
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2898
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1074
37.1%
5 611
21.1%
8 356
 
12.3%
0 286
 
9.9%
9 108
 
3.7%
3 96
 
3.3%
2 94
 
3.2%
- 90
 
3.1%
4 86
 
3.0%
7 58
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2898
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1074
37.1%
5 611
21.1%
8 356
 
12.3%
0 286
 
9.9%
9 108
 
3.7%
3 96
 
3.3%
2 94
 
3.2%
- 90
 
3.1%
4 86
 
3.0%
7 58
 
2.0%

지번주소
Text

MISSING 

Distinct768
Distinct (%)81.3%
Missing106
Missing (%)10.1%
Memory size8.3 KiB
2024-05-11T17:38:34.412805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length38
Mean length22.424339
Min length9

Characters and Unicode

Total characters21191
Distinct characters211
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique647 ?
Unique (%)68.5%

Sample

1st row신림1동 1634-12
2nd row봉천3동 14-37
3rd row봉천3동14-53
4th row신림3동 635-23
5th row서울특별시 관악구 신림동 1433번지 43호
ValueCountFrequency (%)
서울특별시 767
17.5%
관악구 767
17.5%
봉천동 352
 
8.0%
신림동 333
 
7.6%
1호 76
 
1.7%
남현동 48
 
1.1%
2층 43
 
1.0%
3호 42
 
1.0%
5호 41
 
0.9%
4호 36
 
0.8%
Other values (765) 1889
43.0%
2024-05-11T17:38:34.806282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3454
 
16.3%
1 1125
 
5.3%
953
 
4.5%
781
 
3.7%
775
 
3.7%
775
 
3.7%
770
 
3.6%
769
 
3.6%
769
 
3.6%
767
 
3.6%
Other values (201) 10253
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12141
57.3%
Decimal Number 5139
24.3%
Space Separator 3454
 
16.3%
Dash Punctuation 297
 
1.4%
Open Punctuation 49
 
0.2%
Close Punctuation 48
 
0.2%
Other Punctuation 37
 
0.2%
Uppercase Letter 19
 
0.1%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
953
 
7.8%
781
 
6.4%
775
 
6.4%
775
 
6.4%
770
 
6.3%
769
 
6.3%
769
 
6.3%
767
 
6.3%
767
 
6.3%
670
 
5.5%
Other values (175) 4345
35.8%
Decimal Number
ValueCountFrequency (%)
1 1125
21.9%
2 589
11.5%
6 534
10.4%
4 534
10.4%
5 531
10.3%
3 514
10.0%
8 411
 
8.0%
7 329
 
6.4%
0 328
 
6.4%
9 244
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
S 6
31.6%
A 3
15.8%
G 2
 
10.5%
W 2
 
10.5%
K 2
 
10.5%
B 1
 
5.3%
Q 1
 
5.3%
O 1
 
5.3%
T 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 30
81.1%
. 7
 
18.9%
Space Separator
ValueCountFrequency (%)
3454
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 297
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12141
57.3%
Common 9031
42.6%
Latin 19
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
953
 
7.8%
781
 
6.4%
775
 
6.4%
775
 
6.4%
770
 
6.3%
769
 
6.3%
769
 
6.3%
767
 
6.3%
767
 
6.3%
670
 
5.5%
Other values (175) 4345
35.8%
Common
ValueCountFrequency (%)
3454
38.2%
1 1125
 
12.5%
2 589
 
6.5%
6 534
 
5.9%
4 534
 
5.9%
5 531
 
5.9%
3 514
 
5.7%
8 411
 
4.6%
7 329
 
3.6%
0 328
 
3.6%
Other values (7) 682
 
7.6%
Latin
ValueCountFrequency (%)
S 6
31.6%
A 3
15.8%
G 2
 
10.5%
W 2
 
10.5%
K 2
 
10.5%
B 1
 
5.3%
Q 1
 
5.3%
O 1
 
5.3%
T 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12141
57.3%
ASCII 9050
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3454
38.2%
1 1125
 
12.4%
2 589
 
6.5%
6 534
 
5.9%
4 534
 
5.9%
5 531
 
5.9%
3 514
 
5.7%
8 411
 
4.5%
7 329
 
3.6%
0 328
 
3.6%
Other values (16) 701
 
7.7%
Hangul
ValueCountFrequency (%)
953
 
7.8%
781
 
6.4%
775
 
6.4%
775
 
6.4%
770
 
6.3%
769
 
6.3%
769
 
6.3%
767
 
6.3%
767
 
6.3%
670
 
5.5%
Other values (175) 4345
35.8%

도로명주소
Text

MISSING 

Distinct886
Distinct (%)92.9%
Missing97
Missing (%)9.2%
Memory size8.3 KiB
2024-05-11T17:38:35.127467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length49
Mean length30.095388
Min length21

Characters and Unicode

Total characters28711
Distinct characters242
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

Unique827 ?
Unique (%)86.7%

Sample

1st row서울특별시 관악구 신림로 275-1 (신림동)
2nd row서울특별시 관악구 난곡로 176 (신림동)
3rd row서울특별시 관악구 남부순환로 1607 (신림동)
4th row서울특별시 관악구 관악로 227 (봉천동)
5th row서울특별시 관악구 신림로 137 (신림동)
ValueCountFrequency (%)
서울특별시 952
16.3%
관악구 952
16.3%
봉천동 471
 
8.1%
신림동 410
 
7.0%
남부순환로 235
 
4.0%
2층 191
 
3.3%
신림로 116
 
2.0%
3층 116
 
2.0%
관악로 110
 
1.9%
난곡로 101
 
1.7%
Other values (794) 2177
37.3%
2024-05-11T17:38:35.599944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4878
 
17.0%
1107
 
3.9%
1104
 
3.8%
, 1017
 
3.5%
984
 
3.4%
973
 
3.4%
973
 
3.4%
959
 
3.3%
958
 
3.3%
) 957
 
3.3%
Other values (232) 14801
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16539
57.6%
Space Separator 4878
 
17.0%
Decimal Number 4250
 
14.8%
Other Punctuation 1021
 
3.6%
Close Punctuation 957
 
3.3%
Open Punctuation 956
 
3.3%
Dash Punctuation 46
 
0.2%
Uppercase Letter 31
 
0.1%
Math Symbol 29
 
0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1107
 
6.7%
1104
 
6.7%
984
 
5.9%
973
 
5.9%
973
 
5.9%
959
 
5.8%
958
 
5.8%
952
 
5.8%
952
 
5.8%
881
 
5.3%
Other values (203) 6696
40.5%
Decimal Number
ValueCountFrequency (%)
1 805
18.9%
2 719
16.9%
3 615
14.5%
0 413
9.7%
4 369
8.7%
6 331
7.8%
5 325
7.6%
8 243
 
5.7%
7 218
 
5.1%
9 212
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
A 8
25.8%
S 8
25.8%
B 4
12.9%
K 3
 
9.7%
G 2
 
6.5%
I 2
 
6.5%
W 2
 
6.5%
Q 1
 
3.2%
C 1
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
s 2
50.0%
c 1
25.0%
w 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 1017
99.6%
. 4
 
0.4%
Space Separator
ValueCountFrequency (%)
4878
100.0%
Close Punctuation
ValueCountFrequency (%)
) 957
100.0%
Open Punctuation
ValueCountFrequency (%)
( 956
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Math Symbol
ValueCountFrequency (%)
~ 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16539
57.6%
Common 12137
42.3%
Latin 35
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1107
 
6.7%
1104
 
6.7%
984
 
5.9%
973
 
5.9%
973
 
5.9%
959
 
5.8%
958
 
5.8%
952
 
5.8%
952
 
5.8%
881
 
5.3%
Other values (203) 6696
40.5%
Common
ValueCountFrequency (%)
4878
40.2%
, 1017
 
8.4%
) 957
 
7.9%
( 956
 
7.9%
1 805
 
6.6%
2 719
 
5.9%
3 615
 
5.1%
0 413
 
3.4%
4 369
 
3.0%
6 331
 
2.7%
Other values (7) 1077
 
8.9%
Latin
ValueCountFrequency (%)
A 8
22.9%
S 8
22.9%
B 4
11.4%
K 3
 
8.6%
G 2
 
5.7%
I 2
 
5.7%
s 2
 
5.7%
W 2
 
5.7%
Q 1
 
2.9%
C 1
 
2.9%
Other values (2) 2
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16539
57.6%
ASCII 12172
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4878
40.1%
, 1017
 
8.4%
) 957
 
7.9%
( 956
 
7.9%
1 805
 
6.6%
2 719
 
5.9%
3 615
 
5.1%
0 413
 
3.4%
4 369
 
3.0%
6 331
 
2.7%
Other values (19) 1112
 
9.1%
Hangul
ValueCountFrequency (%)
1107
 
6.7%
1104
 
6.7%
984
 
5.9%
973
 
5.9%
973
 
5.9%
959
 
5.8%
958
 
5.8%
952
 
5.8%
952
 
5.8%
881
 
5.3%
Other values (203) 6696
40.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct148
Distinct (%)16.4%
Missing151
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean15943.133
Minimum8700
Maximum151927
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.4 KiB
2024-05-11T17:38:35.750332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8700
5-th percentile8708
Q18747
median8777
Q38806
95-th percentile28046.05
Maximum151927
Range143227
Interquartile range (IQR)59

Descriptive statistics

Standard deviation31158.561
Coefficient of variation (CV)1.9543561
Kurtosis15.134413
Mean15943.133
Median Absolute Deviation (MAD)30
Skewness4.1347351
Sum14348820
Variance9.708559 × 108
MonotonicityNot monotonic
2024-05-11T17:38:35.876112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8788 38
 
3.6%
8793 36
 
3.4%
8745 31
 
2.9%
8754 27
 
2.6%
8849 22
 
2.1%
8747 22
 
2.1%
8759 22
 
2.1%
8738 20
 
1.9%
8812 20
 
1.9%
8806 20
 
1.9%
Other values (138) 642
61.1%
(Missing) 151
 
14.4%
ValueCountFrequency (%)
8700 10
1.0%
8701 12
1.1%
8702 4
 
0.4%
8704 2
 
0.2%
8705 3
 
0.3%
8706 3
 
0.3%
8707 4
 
0.4%
8708 11
1.0%
8709 2
 
0.2%
8710 1
 
0.1%
ValueCountFrequency (%)
151927 1
0.1%
151913 1
0.1%
151904 1
0.1%
151892 2
0.2%
151888 1
0.1%
151880 1
0.1%
151877 1
0.1%
151874 1
0.1%
151871 1
0.1%
151869 1
0.1%
Distinct1023
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-05-11T17:38:36.075105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length7.4976213
Min length3

Characters and Unicode

Total characters7880
Distinct characters420
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique998 ?
Unique (%)95.0%

Sample

1st row상호치과의원
2nd row이종우치과의원
3rd row명성한의원
4th row김용준치과의원
5th row영신한의원
ValueCountFrequency (%)
고려한의원 5
 
0.5%
의료법인 4
 
0.4%
본디올삼성한의원 2
 
0.2%
한사랑의원 2
 
0.2%
현대관악의원 2
 
0.2%
의원 2
 
0.2%
라임의원 2
 
0.2%
무루한의원 2
 
0.2%
톡스앤필의원 2
 
0.2%
김철신정형외과의원 2
 
0.2%
Other values (1030) 1051
97.7%
2024-05-11T17:38:36.408970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1131
 
14.4%
1060
 
13.5%
662
 
8.4%
289
 
3.7%
284
 
3.6%
142
 
1.8%
125
 
1.6%
112
 
1.4%
105
 
1.3%
99
 
1.3%
Other values (410) 3871
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7738
98.2%
Decimal Number 42
 
0.5%
Uppercase Letter 34
 
0.4%
Space Separator 25
 
0.3%
Open Punctuation 14
 
0.2%
Close Punctuation 14
 
0.2%
Lowercase Letter 9
 
0.1%
Other Punctuation 3
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1131
 
14.6%
1060
 
13.7%
662
 
8.6%
289
 
3.7%
284
 
3.7%
142
 
1.8%
125
 
1.6%
112
 
1.4%
105
 
1.4%
99
 
1.3%
Other values (375) 3729
48.2%
Uppercase Letter
ValueCountFrequency (%)
S 6
17.6%
N 5
14.7%
C 3
 
8.8%
W 3
 
8.8%
R 2
 
5.9%
L 2
 
5.9%
Q 1
 
2.9%
U 1
 
2.9%
G 1
 
2.9%
E 1
 
2.9%
Other values (9) 9
26.5%
Lowercase Letter
ValueCountFrequency (%)
e 4
44.4%
m 1
 
11.1%
c 1
 
11.1%
y 1
 
11.1%
o 1
 
11.1%
j 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
3 14
33.3%
5 14
33.3%
6 12
28.6%
1 2
 
4.8%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7734
98.1%
Common 99
 
1.3%
Latin 43
 
0.5%
Han 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1131
 
14.6%
1060
 
13.7%
662
 
8.6%
289
 
3.7%
284
 
3.7%
142
 
1.8%
125
 
1.6%
112
 
1.4%
105
 
1.4%
99
 
1.3%
Other values (372) 3725
48.2%
Latin
ValueCountFrequency (%)
S 6
 
14.0%
N 5
 
11.6%
e 4
 
9.3%
C 3
 
7.0%
W 3
 
7.0%
R 2
 
4.7%
L 2
 
4.7%
Q 1
 
2.3%
U 1
 
2.3%
G 1
 
2.3%
Other values (15) 15
34.9%
Common
ValueCountFrequency (%)
25
25.3%
( 14
14.1%
) 14
14.1%
3 14
14.1%
5 14
14.1%
6 12
12.1%
1 2
 
2.0%
& 2
 
2.0%
- 1
 
1.0%
. 1
 
1.0%
Han
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7734
98.1%
ASCII 142
 
1.8%
CJK 4
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1131
 
14.6%
1060
 
13.7%
662
 
8.6%
289
 
3.7%
284
 
3.7%
142
 
1.8%
125
 
1.6%
112
 
1.4%
105
 
1.4%
99
 
1.3%
Other values (372) 3725
48.2%
ASCII
ValueCountFrequency (%)
25
17.6%
( 14
9.9%
) 14
9.9%
3 14
9.9%
5 14
9.9%
6 12
 
8.5%
S 6
 
4.2%
N 5
 
3.5%
e 4
 
2.8%
C 3
 
2.1%
Other values (25) 31
21.8%
CJK
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%
Distinct1037
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
Minimum2008-12-31 17:03:45
Maximum2024-05-09 23:43:18
2024-05-11T17:38:36.528272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:38:36.639957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
U
745 
I
305 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
U 745
70.9%
I 305
29.0%
D 1
 
0.1%

Length

2024-05-11T17:38:36.737156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:38:36.815258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 745
70.9%
i 305
29.0%
d 1
 
0.1%
Distinct378
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T17:38:36.931981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:38:37.077363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
의원
533 
치과의원
276 
한의원
240 
보건소
 
1
보건지소
 
1

Length

Max length4
Median length2
Mean length2.7564225
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
의원 533
50.7%
치과의원 276
26.3%
한의원 240
22.8%
보건소 1
 
0.1%
보건지소 1
 
0.1%

Length

2024-05-11T17:38:37.214699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:38:37.309963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 533
50.7%
치과의원 276
26.3%
한의원 240
22.8%
보건소 1
 
0.1%
보건지소 1
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct497
Distinct (%)52.9%
Missing112
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean194626.23
Minimum173666.6
Maximum202283.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.4 KiB
2024-05-11T17:38:37.412372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173666.6
5-th percentile192264.92
Q1193545.98
median194702.9
Q3195840.86
95-th percentile197813.45
Maximum202283.73
Range28617.137
Interquartile range (IQR)2294.8885

Descriptive statistics

Standard deviation1802.9236
Coefficient of variation (CV)0.0092635182
Kurtosis18.579303
Mean194626.23
Median Absolute Deviation (MAD)1149.1856
Skewness-1.4940513
Sum1.8275403 × 108
Variance3250533.5
MonotonicityNot monotonic
2024-05-11T17:38:37.523632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195793.554018345 12
 
1.1%
195274.343265834 11
 
1.0%
195852.084038417 9
 
0.9%
193736.283365342 9
 
0.9%
193773.070404044 9
 
0.9%
195759.872774126 8
 
0.8%
194099.750197626 8
 
0.8%
195285.853833707 8
 
0.8%
197915.557803746 8
 
0.8%
195840.864199343 8
 
0.8%
Other values (487) 849
80.8%
(Missing) 112
 
10.7%
ValueCountFrequency (%)
173666.597202762 1
 
0.1%
191167.148853983 1
 
0.1%
191210.078732513 3
0.3%
191259.60234678 2
 
0.2%
191303.792863813 2
 
0.2%
191334.658955208 1
 
0.1%
191342.399599631 3
0.3%
191358.477626236 1
 
0.1%
191376.602183978 5
0.5%
191423.901538279 1
 
0.1%
ValueCountFrequency (%)
202283.734225857 1
 
0.1%
198675.092821991 3
 
0.3%
198284.078546351 8
0.8%
198282.196473514 1
 
0.1%
198278.931088754 1
 
0.1%
198264.990666667 1
 
0.1%
198248.942426333 1
 
0.1%
198197.381114459 2
 
0.2%
198173.501979084 1
 
0.1%
198033.379026219 2
 
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct497
Distinct (%)52.9%
Missing112
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean442007.28
Minimum417445.29
Maximum443547.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.4 KiB
2024-05-11T17:38:37.638130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum417445.29
5-th percentile440959.55
Q1441570.13
median442164.62
Q3442506.72
95-th percentile442981.75
Maximum443547.05
Range26101.757
Interquartile range (IQR)936.58899

Descriptive statistics

Standard deviation1041.1846
Coefficient of variation (CV)0.0023555826
Kurtosis330.09477
Mean442007.28
Median Absolute Deviation (MAD)414.25081
Skewness-14.248432
Sum4.1504483 × 108
Variance1084065.5
MonotonicityNot monotonic
2024-05-11T17:38:37.748799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442281.682871214 12
 
1.1%
442663.498606503 11
 
1.0%
442142.468705229 9
 
0.9%
442593.593920989 9
 
0.9%
442270.419248856 9
 
0.9%
441941.015435004 8
 
0.8%
441002.10027233 8
 
0.8%
442724.651465949 8
 
0.8%
441570.126299442 8
 
0.8%
442344.066078404 8
 
0.8%
Other values (487) 849
80.8%
(Missing) 112
 
10.7%
ValueCountFrequency (%)
417445.292882621 1
0.1%
437966.878473039 1
0.1%
439023.167125842 1
0.1%
439787.715563055 2
0.2%
439816.999224208 2
0.2%
439852.868058712 1
0.1%
440040.309820942 1
0.1%
440080.722096024 1
0.1%
440082.792801758 1
0.1%
440102.354868197 1
0.1%
ValueCountFrequency (%)
443547.049696825 1
 
0.1%
443440.789010155 1
 
0.1%
443341.379446435 3
0.3%
443280.395116602 1
 
0.1%
443273.487218185 1
 
0.1%
443241.362831726 1
 
0.1%
443221.321009043 1
 
0.1%
443177.032539307 1
 
0.1%
443165.346378076 3
0.3%
443149.499388188 1
 
0.1%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
<NA>
388 
의원
349 
치과의원
189 
한의원
123 
보건소
 
1

Length

Max length4
Median length4
Mean length3.2178877
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 388
36.9%
의원 349
33.2%
치과의원 189
18.0%
한의원 123
 
11.7%
보건소 1
 
0.1%
보건지소 1
 
0.1%

Length

2024-05-11T17:38:37.874080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:38:37.970788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 388
36.9%
의원 349
33.2%
치과의원 189
18.0%
한의원 123
 
11.7%
보건소 1
 
0.1%
보건지소 1
 
0.1%

의료인수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)1.4%
Missing388
Missing (%)36.9%
Infinite0
Infinite (%)0.0%
Mean1.1674208
Minimum0
Maximum22
Zeros10
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size9.4 KiB
2024-05-11T17:38:38.056880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0575697
Coefficient of variation (CV)0.9059027
Kurtosis245.6399
Mean1.1674208
Median Absolute Deviation (MAD)0
Skewness13.818734
Sum774
Variance1.1184536
MonotonicityNot monotonic
2024-05-11T17:38:38.139669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 589
56.0%
2 48
 
4.6%
0 10
 
1.0%
3 8
 
0.8%
5 3
 
0.3%
6 2
 
0.2%
22 1
 
0.1%
12 1
 
0.1%
4 1
 
0.1%
(Missing) 388
36.9%
ValueCountFrequency (%)
0 10
 
1.0%
1 589
56.0%
2 48
 
4.6%
3 8
 
0.8%
4 1
 
0.1%
5 3
 
0.3%
6 2
 
0.2%
12 1
 
0.1%
22 1
 
0.1%
ValueCountFrequency (%)
22 1
 
0.1%
12 1
 
0.1%
6 2
 
0.2%
5 3
 
0.3%
4 1
 
0.1%
3 8
 
0.8%
2 48
 
4.6%
1 589
56.0%
0 10
 
1.0%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)1.7%
Missing388
Missing (%)36.9%
Infinite0
Infinite (%)0.0%
Mean0.23378582
Minimum0
Maximum10
Zeros623
Zeros (%)59.3%
Negative0
Negative (%)0.0%
Memory size9.4 KiB
2024-05-11T17:38:38.233613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2184156
Coefficient of variation (CV)5.2116744
Kurtosis42.775958
Mean0.23378582
Median Absolute Deviation (MAD)0
Skewness6.3856994
Sum155
Variance1.4845366
MonotonicityNot monotonic
2024-05-11T17:38:38.328266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 623
59.3%
1 14
 
1.3%
2 6
 
0.6%
10 4
 
0.4%
3 4
 
0.4%
4 4
 
0.4%
9 3
 
0.3%
8 2
 
0.2%
6 1
 
0.1%
7 1
 
0.1%
(Missing) 388
36.9%
ValueCountFrequency (%)
0 623
59.3%
1 14
 
1.3%
2 6
 
0.6%
3 4
 
0.4%
4 4
 
0.4%
5 1
 
0.1%
6 1
 
0.1%
7 1
 
0.1%
8 2
 
0.2%
9 3
 
0.3%
ValueCountFrequency (%)
10 4
 
0.4%
9 3
 
0.3%
8 2
 
0.2%
7 1
 
0.1%
6 1
 
0.1%
5 1
 
0.1%
4 4
 
0.4%
3 4
 
0.4%
2 6
0.6%
1 14
1.3%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)3.0%
Missing388
Missing (%)36.9%
Infinite0
Infinite (%)0.0%
Mean1.0889894
Minimum0
Maximum29
Zeros602
Zeros (%)57.3%
Negative0
Negative (%)0.0%
Memory size9.4 KiB
2024-05-11T17:38:38.431622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.9
Maximum29
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.7673597
Coefficient of variation (CV)4.3777832
Kurtosis23.960083
Mean1.0889894
Median Absolute Deviation (MAD)0
Skewness4.9420961
Sum722
Variance22.727718
MonotonicityNot monotonic
2024-05-11T17:38:38.562992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 602
57.3%
1 12
 
1.1%
29 9
 
0.9%
2 6
 
0.6%
4 4
 
0.4%
6 4
 
0.4%
3 4
 
0.4%
16 3
 
0.3%
28 3
 
0.3%
20 2
 
0.2%
Other values (10) 14
 
1.3%
(Missing) 388
36.9%
ValueCountFrequency (%)
0 602
57.3%
1 12
 
1.1%
2 6
 
0.6%
3 4
 
0.4%
4 4
 
0.4%
5 1
 
0.1%
6 4
 
0.4%
8 2
 
0.2%
9 2
 
0.2%
10 2
 
0.2%
ValueCountFrequency (%)
29 9
0.9%
28 3
 
0.3%
26 1
 
0.1%
25 2
 
0.2%
24 1
 
0.1%
22 1
 
0.1%
21 1
 
0.1%
20 2
 
0.2%
16 3
 
0.3%
11 1
 
0.1%

총면적
Real number (ℝ)

MISSING 

Distinct522
Distinct (%)78.7%
Missing388
Missing (%)36.9%
Infinite0
Infinite (%)0.0%
Mean142.67376
Minimum30.5
Maximum865.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.4 KiB
2024-05-11T17:38:38.682574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30.5
5-th percentile50
Q175.795
median110
Q3164.1
95-th percentile345.682
Maximum865.23
Range834.73
Interquartile range (IQR)88.305

Descriptive statistics

Standard deviation117.11458
Coefficient of variation (CV)0.82085581
Kurtosis10.901128
Mean142.67376
Median Absolute Deviation (MAD)40.07
Skewness2.9816273
Sum94592.7
Variance13715.825
MonotonicityNot monotonic
2024-05-11T17:38:38.805059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.0 67
 
6.4%
126.0 6
 
0.6%
60.0 5
 
0.5%
174.0 4
 
0.4%
110.0 4
 
0.4%
97.0 4
 
0.4%
116.0 4
 
0.4%
150.0 3
 
0.3%
112.0 3
 
0.3%
132.0 3
 
0.3%
Other values (512) 560
53.3%
(Missing) 388
36.9%
ValueCountFrequency (%)
30.5 1
0.1%
34.38 1
0.1%
34.75 1
0.1%
41.4 1
0.1%
42.35 1
0.1%
42.82 1
0.1%
43.2 1
0.1%
43.73 1
0.1%
47.29 1
0.1%
48.38 1
0.1%
ValueCountFrequency (%)
865.23 1
0.1%
788.48 1
0.1%
767.0 1
0.1%
746.0 1
0.1%
713.0 1
0.1%
700.0 1
0.1%
690.0 1
0.1%
663.0 1
0.1%
638.0 1
0.1%
632.69 1
0.1%

진료과목내용
Text

MISSING 

Distinct245
Distinct (%)37.0%
Missing388
Missing (%)36.9%
Memory size8.3 KiB
2024-05-11T17:38:38.983568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length3
Mean length14.179487
Min length3

Characters and Unicode

Total characters9401
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

Unique203 ?
Unique (%)30.6%

Sample

1st row401
2nd row401
3rd row301
4th row401
5th row301
ValueCountFrequency (%)
101 181
 
7.2%
401 157
 
6.2%
114 129
 
5.1%
301 124
 
4.9%
111 105
 
4.2%
113 92
 
3.7%
308 79
 
3.1%
105 79
 
3.1%
304 79
 
3.1%
303 78
 
3.1%
Other values (46) 1413
56.2%
2024-05-11T17:38:39.271374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2296
24.4%
0 1948
20.7%
1853
19.7%
3 937
10.0%
4 886
 
9.4%
2 604
 
6.4%
5 278
 
3.0%
8 180
 
1.9%
6 172
 
1.8%
7 139
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7548
80.3%
Space Separator 1853
 
19.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2296
30.4%
0 1948
25.8%
3 937
12.4%
4 886
 
11.7%
2 604
 
8.0%
5 278
 
3.7%
8 180
 
2.4%
6 172
 
2.3%
7 139
 
1.8%
9 108
 
1.4%
Space Separator
ValueCountFrequency (%)
1853
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9401
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2296
24.4%
0 1948
20.7%
1853
19.7%
3 937
10.0%
4 886
 
9.4%
2 604
 
6.4%
5 278
 
3.0%
8 180
 
1.9%
6 172
 
1.8%
7 139
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9401
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2296
24.4%
0 1948
20.7%
1853
19.7%
3 937
10.0%
4 886
 
9.4%
2 604
 
6.4%
5 278
 
3.0%
8 180
 
1.9%
6 172
 
1.8%
7 139
 
1.5%

진료과목내용명
Text

MISSING 

Distinct184
Distinct (%)27.8%
Missing388
Missing (%)36.9%
Memory size8.3 KiB
2024-05-11T17:38:39.467162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length145
Median length132
Mean length22.987934
Min length2

Characters and Unicode

Total characters15241
Distinct characters65
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

Unique140 ?
Unique (%)21.1%

Sample

1st row치과
2nd row치과
3rd row한방내과
4th row치과
5th row한방내과
ValueCountFrequency (%)
내과 181
 
7.2%
치과 160
 
6.4%
피부과 129
 
5.1%
한방내과 124
 
4.9%
소아청소년과 105
 
4.2%
이비인후과 92
 
3.7%
한방안?이비인후?피부과 79
 
3.1%
정형외과 79
 
3.1%
침구과 79
 
3.1%
한방소아과 78
 
3.1%
Other values (36) 1410
56.0%
2024-05-11T17:38:39.784217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2701
17.7%
, 1853
 
12.2%
1853
 
12.2%
597
 
3.9%
584
 
3.8%
519
 
3.4%
373
 
2.4%
373
 
2.4%
364
 
2.4%
351
 
2.3%
Other values (55) 5673
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11377
74.6%
Other Punctuation 2011
 
13.2%
Space Separator 1853
 
12.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2701
23.7%
597
 
5.2%
584
 
5.1%
519
 
4.6%
373
 
3.3%
373
 
3.3%
364
 
3.2%
351
 
3.1%
338
 
3.0%
317
 
2.8%
Other values (52) 4860
42.7%
Other Punctuation
ValueCountFrequency (%)
, 1853
92.1%
? 158
 
7.9%
Space Separator
ValueCountFrequency (%)
1853
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11377
74.6%
Common 3864
 
25.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2701
23.7%
597
 
5.2%
584
 
5.1%
519
 
4.6%
373
 
3.3%
373
 
3.3%
364
 
3.2%
351
 
3.1%
338
 
3.0%
317
 
2.8%
Other values (52) 4860
42.7%
Common
ValueCountFrequency (%)
, 1853
48.0%
1853
48.0%
? 158
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11377
74.6%
ASCII 3864
 
25.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2701
23.7%
597
 
5.2%
584
 
5.1%
519
 
4.6%
373
 
3.3%
373
 
3.3%
364
 
3.2%
351
 
3.1%
338
 
3.0%
317
 
2.8%
Other values (52) 4860
42.7%
ASCII
ValueCountFrequency (%)
, 1853
48.0%
1853
48.0%
? 158
 
4.1%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1051
Missing (%)100.0%
Memory size9.4 KiB

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1051
Missing (%)100.0%
Memory size9.4 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1051
Missing (%)100.0%
Memory size9.4 KiB

구급차특수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
0
663 
<NA>
388 

Length

Max length4
Median length1
Mean length2.1075167
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 663
63.1%
<NA> 388
36.9%

Length

2024-05-11T17:38:40.164789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:38:40.249259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 663
63.1%
na 388
36.9%

구급차일반
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
0
663 
<NA>
388 

Length

Max length4
Median length1
Mean length2.1075167
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 663
63.1%
<NA> 388
36.9%

Length

2024-05-11T17:38:40.334288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:38:40.414833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 663
63.1%
na 388
36.9%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1051
Missing (%)100.0%
Memory size9.4 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1051
Missing (%)100.0%
Memory size9.4 KiB

허가병상수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
0
663 
<NA>
388 

Length

Max length4
Median length1
Mean length2.1075167
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 663
63.1%
<NA> 388
36.9%

Length

2024-05-11T17:38:40.509395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:38:40.599104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 663
63.1%
na 388
36.9%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1051
Missing (%)100.0%
Memory size9.4 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03200000PHMA11971320003304110000119710610<NA>3폐업3폐업20140721<NA><NA><NA><NA><NA><NA>신림1동 1634-12서울특별시 관악구 신림로 275-1 (신림동)151015상호치과의원2014-07-21 17:27:30I2018-08-31 23:59:59.0치과의원193838.50535441884.430548치과의원10050.0401치과<NA><NA><NA>00<NA><NA>0<NA>
13200000PHMA11971320003304110000219710610<NA>3폐업3폐업20120809<NA><NA><NA><NA><NA><NA>봉천3동 14-37<NA><NA>이종우치과의원2012-08-09 16:22:43I2018-08-31 23:59:59.0치과의원<NA><NA>치과의원10050.0401치과<NA><NA><NA>00<NA><NA>0<NA>
23200000PHMA11971320003304110000319710610<NA>3폐업3폐업200911112009070120101231<NA><NA><NA><NA>봉천3동14-53<NA><NA>명성한의원2009-11-18 17:38:18I2018-08-31 23:59:59.0한의원<NA><NA>한의원10050.0301한방내과<NA><NA><NA>00<NA><NA>0<NA>
33200000PHMA11971320003304110000419710610<NA>3폐업3폐업20140902<NA><NA><NA><NA><NA><NA>신림3동 635-23서울특별시 관악구 난곡로 176 (신림동)151015김용준치과의원2014-09-02 17:19:18I2018-08-31 23:59:59.0치과의원192860.314998440958.073686치과의원10050.0401치과<NA><NA><NA>00<NA><NA>0<NA>
43200000PHMA11971320003304110000519710610<NA>3폐업3폐업20140710<NA><NA><NA><NA><NA>151892서울특별시 관악구 신림동 1433번지 43호서울특별시 관악구 남부순환로 1607 (신림동)151892영신한의원2014-07-10 10:54:59I2018-08-31 23:59:59.0한의원193672.704403442473.494113한의원10050.0301한방내과<NA><NA><NA>00<NA><NA>0<NA>
53200000PHMA11971320003304110000619710610<NA>3폐업3폐업20180725<NA><NA><NA>02-877-2875<NA><NA>봉천10동 34-41서울특별시 관악구 관악로 227 (봉천동)8744정인환치과의원2018-09-07 09:22:44U2018-09-07 23:59:59.0치과의원195970.471414442528.359257치과의원10050.0401치과<NA><NA><NA>00<NA><NA>0<NA>
63200000PHMA11971320003304110000719710618<NA>3폐업3폐업20210225<NA><NA><NA>02-877-8052<NA>151015서울특별시 관악구 신림동 1514번지 0호서울특별시 관악구 신림로 137 (신림동)8812서울한의원2021-03-03 09:32:19U2021-03-05 02:40:00.0한의원194099.750198441002.100272한의원10050.0301한방내과<NA><NA><NA>00<NA><NA>0<NA>
73200000PHMA1197132000330411000081971-08-12<NA>3폐업3폐업2022-04-29<NA><NA><NA>02-877-2252<NA>151-050서울특별시 관악구서울특별시 관악구 은천로 114 (봉천동)8743고운이치과의원2023-03-06 17:21:22U2022-12-03 00:08:00.0치과의원<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83200000PHMA1197132000330411000092004-04-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-886-0003<NA>151-855서울특별시 관악구 신림동 96번지 96호서울특별시 관악구 신림로 200 (신림동)8836김한의원2024-01-23 11:17:14U2023-11-30 22:05:00.0한의원194369.825394441454.264687<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93200000PHMA11972320003304110000119721030<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3661-1138<NA><NA>봉천11동 1656-1서울특별시 관악구 남부순환로 1956 (봉천동)8793영락가정의학과의원2017-09-05 18:40:40I2018-08-31 23:59:59.0의원196923.039674441518.761603의원10091.18122 118 115 114 113 112 111 105 104 103 102 101내과, 신경과, 정신건강의학과, 외과, 정형외과, 소아청소년과, 안과, 이비인후과, 피부과, 비뇨의학과, 병리과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
10413200000PHMA1202432000330411000022024-03-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-878-1357<NA><NA>서울특별시 관악구 봉천동 1687-22 한국해양소년단연맹서울특별시 관악구 남부순환로 1935, 한국해양소년단연맹 2층 (봉천동)8801행운치과의원2024-03-22 03:43:28U2023-12-02 22:04:00.0치과의원196785.803628441646.001048<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
10423200000PHMA1202432000330411000032024-03-13<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4148-3663<NA><NA>서울특별시 관악구 봉천동 926-33서울특별시 관악구 남부순환로 1733, 6층 (봉천동)8757서울모두신경과의원2024-03-22 01:13:17U2023-12-02 22:04:00.0의원194867.533801442268.354796<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
10433200000PHMA1202432000330411000042024-03-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3285-5526<NA><NA>서울특별시 관악구 봉천동 852-2 서호빌딩서울특별시 관악구 봉천로 488, 서호빌딩 2층 (봉천동)8738관악정내과의원2024-03-29 02:43:19U2023-12-02 21:01:00.0의원195852.084038442142.468705<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
10443200000PHMA1202432000330411000052022-12-07<NA>1영업/정상13영업중<NA><NA><NA><NA>032)421-1177<NA><NA>인천광역시 남동구 구월동 1475 벽성빌딩인천광역시 남동구 인하로507번길 4, 벽성빌딩 2층 201호, 202호 (구월동)21574제일안과의원2024-03-27 15:02:42D2023-12-02 22:09:00.0의원173666.597203437966.878473<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
10453200000PHMA1202432000330411000062024-03-11<NA>1영업/정상13영업중<NA><NA><NA><NA>02-886-7777<NA><NA>서울특별시 관악구 봉천동 1687-13서울특별시 관악구 남부순환로 1933, 2,3층 (봉천동)8801기댈마취통증의학과의원2024-03-29 02:43:20U2023-12-02 21:01:00.0의원196759.114231441658.741814<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
10463200000PHMA1202432000330411000072024-03-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-588-2879<NA><NA><NA>서울특별시 관악구 남부순환로 2082-25, 3층 (남현동)8806365탑치과의원2024-04-08 11:00:01U2023-12-03 23:00:00.0치과의원198248.942426441541.599784<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
10473200000PHMA1202432000330411000082022-12-07<NA>1영업/정상13영업중<NA><NA><NA><NA>02-867-1176<NA><NA>서울특별시 관악구 신림동 613-3 3층서울특별시 관악구 난우길 10, 3층 (신림동)8852제일안과의원2024-04-18 20:43:19U2023-12-03 22:00:00.0의원192754.582608441315.734046<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
10483200000PHMA1202432000330411000092024-04-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3285-7528<NA><NA>서울특별시 관악구 봉천동 1601-22서울특별시 관악구 남부순환로 1852, 4층 (봉천동)8789153치과의원2024-04-30 13:46:11I2023-12-05 00:02:00.0치과의원195998.790182441971.086567<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
10493200000PHMA1202432000330411000102024-04-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6958-7542<NA><NA>서울특별시 관악구 신림동 706-48 케이앤제이빌딩, 4층서울특별시 관악구 난곡로 193, 케이앤제이빌딩 4층 (신림동)8858난곡허준한의원2024-05-03 10:39:16U2023-12-05 00:05:00.0한의원192773.595944441122.559781<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
10503200000PHMA1202432000330411000112024-05-09<NA>1영업/정상13영업중<NA><NA><NA><NA>02-886-5780<NA><NA>서울특별시 관악구 봉천동 884-44 미래드림여성병원서울특별시 관악구 남부순환로 1785, 지하1,지상2,3층 (봉천동)8758라비뉴여성의원2024-05-09 16:20:23I2023-12-04 23:01:00.0의원195387.990236442205.889844<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>