Overview

Dataset statistics

Number of variables41
Number of observations1331
Missing cells21129
Missing cells (%)38.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory455.1 KiB
Average record size in memory350.1 B

Variable types

Categorical11
Text9
Unsupported9
DateTime5
Numeric7

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),의료기관종별명,의료인수,입원실수,병상수,총면적,진료과목내용,진료과목내용명,지정취소일자,완화의료지정형태,완화의료담당부서명,구급차특수,구급차일반,총인원,구조사수,허가병상수,최초지정일자
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-16225/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 1331 (100.0%) missing valuesMissing
폐업일자 has 700 (52.6%) missing valuesMissing
휴업시작일자 has 1320 (99.2%) missing valuesMissing
휴업종료일자 has 1320 (99.2%) missing valuesMissing
재개업일자 has 1331 (100.0%) missing valuesMissing
전화번호 has 220 (16.5%) missing valuesMissing
소재지면적 has 1331 (100.0%) missing valuesMissing
소재지우편번호 has 995 (74.8%) missing valuesMissing
지번주소 has 180 (13.5%) missing valuesMissing
도로명주소 has 412 (31.0%) missing valuesMissing
도로명우편번호 has 463 (34.8%) missing valuesMissing
좌표정보(X) has 459 (34.5%) missing valuesMissing
좌표정보(Y) has 459 (34.5%) missing valuesMissing
의료인수 has 437 (32.8%) missing valuesMissing
입원실수 has 437 (32.8%) missing valuesMissing
병상수 has 437 (32.8%) missing valuesMissing
총면적 has 437 (32.8%) missing valuesMissing
진료과목내용 has 437 (32.8%) missing valuesMissing
진료과목내용명 has 437 (32.8%) missing valuesMissing
지정취소일자 has 1331 (100.0%) missing valuesMissing
완화의료지정형태 has 1331 (100.0%) missing valuesMissing
완화의료담당부서명 has 1331 (100.0%) missing valuesMissing
총인원 has 1331 (100.0%) missing valuesMissing
구조사수 has 1331 (100.0%) missing valuesMissing
최초지정일자 has 1331 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
의료인수 has 215 (16.2%) zerosZeros
입원실수 has 867 (65.1%) zerosZeros
병상수 has 857 (64.4%) zerosZeros
총면적 has 342 (25.7%) zerosZeros

Reproduction

Analysis started2024-05-11 06:20:43.346620
Analysis finished2024-05-11 06:20:44.603485
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
3110000
1331 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 1331
100.0%

Length

2024-05-11T15:20:44.702576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:44.860060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 1331
100.0%

관리번호
Text

UNIQUE 

Distinct1331
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
2024-05-11T15:20:45.082067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters33275
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

Unique1331 ?
Unique (%)100.0%

Sample

1st rowPHMA119653110032041100001
2nd rowPHMA119653110032041100002
3rd rowPHMA119653110032041100003
4th rowPHMA119653110032041100004
5th rowPHMA119653110032041100005
ValueCountFrequency (%)
phma119653110032041100001 1
 
0.1%
phma120103110032041100021 1
 
0.1%
phma120103110032041100019 1
 
0.1%
phma120103110032041100018 1
 
0.1%
phma120103110032041100017 1
 
0.1%
phma120103110032041100016 1
 
0.1%
phma120103110032041100015 1
 
0.1%
phma120103110032041100014 1
 
0.1%
phma120103110032041100013 1
 
0.1%
phma120103110032041100012 1
 
0.1%
Other values (1321) 1321
99.2%
2024-05-11T15:20:45.519753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10028
30.1%
1 8070
24.3%
3 3149
 
9.5%
2 2927
 
8.8%
4 1659
 
5.0%
P 1331
 
4.0%
H 1331
 
4.0%
M 1331
 
4.0%
A 1331
 
4.0%
9 953
 
2.9%
Other values (4) 1165
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27951
84.0%
Uppercase Letter 5324
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10028
35.9%
1 8070
28.9%
3 3149
 
11.3%
2 2927
 
10.5%
4 1659
 
5.9%
9 953
 
3.4%
8 340
 
1.2%
7 288
 
1.0%
6 270
 
1.0%
5 267
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
P 1331
25.0%
H 1331
25.0%
M 1331
25.0%
A 1331
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 27951
84.0%
Latin 5324
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10028
35.9%
1 8070
28.9%
3 3149
 
11.3%
2 2927
 
10.5%
4 1659
 
5.9%
9 953
 
3.4%
8 340
 
1.2%
7 288
 
1.0%
6 270
 
1.0%
5 267
 
1.0%
Latin
ValueCountFrequency (%)
P 1331
25.0%
H 1331
25.0%
M 1331
25.0%
A 1331
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33275
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10028
30.1%
1 8070
24.3%
3 3149
 
9.5%
2 2927
 
8.8%
4 1659
 
5.0%
P 1331
 
4.0%
H 1331
 
4.0%
M 1331
 
4.0%
A 1331
 
4.0%
9 953
 
2.9%
Other values (4) 1165
 
3.5%
Distinct1246
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
2024-05-11T15:20:45.894585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.5349361
Min length8

Characters and Unicode

Total characters11360
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

Unique1169 ?
Unique (%)87.8%

Sample

1st row19650830
2nd row19650830
3rd row19650830
4th row19650830
5th row19650830
ValueCountFrequency (%)
19650830 7
 
0.5%
20181011 3
 
0.2%
20110303 3
 
0.2%
20100203 3
 
0.2%
20070302 2
 
0.2%
20031006 2
 
0.2%
20141205 2
 
0.2%
20031118 2
 
0.2%
19960515 2
 
0.2%
19930817 2
 
0.2%
Other values (1236) 1303
97.9%
2024-05-11T15:20:46.605227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3178
28.0%
1 2003
17.6%
2 1877
16.5%
9 1068
 
9.4%
- 712
 
6.3%
3 498
 
4.4%
8 462
 
4.1%
4 416
 
3.7%
6 386
 
3.4%
5 383
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10648
93.7%
Dash Punctuation 712
 
6.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3178
29.8%
1 2003
18.8%
2 1877
17.6%
9 1068
 
10.0%
3 498
 
4.7%
8 462
 
4.3%
4 416
 
3.9%
6 386
 
3.6%
5 383
 
3.6%
7 377
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 712
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11360
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3178
28.0%
1 2003
17.6%
2 1877
16.5%
9 1068
 
9.4%
- 712
 
6.3%
3 498
 
4.4%
8 462
 
4.1%
4 416
 
3.7%
6 386
 
3.4%
5 383
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3178
28.0%
1 2003
17.6%
2 1877
16.5%
9 1068
 
9.4%
- 712
 
6.3%
3 498
 
4.4%
8 462
 
4.1%
4 416
 
3.7%
6 386
 
3.4%
5 383
 
3.4%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1331
Missing (%)100.0%
Memory size11.8 KiB
Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
1
695 
3
634 
5
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 695
52.2%
3 634
47.6%
5 1
 
0.1%
4 1
 
0.1%

Length

2024-05-11T15:20:46.856059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:47.078670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 695
52.2%
3 634
47.6%
5 1
 
0.1%
4 1
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
영업/정상
695 
폐업
634 
제외/삭제/전출
 
1
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length3.580015
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 695
52.2%
폐업 634
47.6%
제외/삭제/전출 1
 
0.1%
취소/말소/만료/정지/중지 1
 
0.1%

Length

2024-05-11T15:20:47.386495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:47.584020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 695
52.2%
폐업 634
47.6%
제외/삭제/전출 1
 
0.1%
취소/말소/만료/정지/중지 1
 
0.1%
Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
13
695 
3
634 
15
 
1
24
 
1

Length

Max length2
Median length2
Mean length1.5236664
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
13 695
52.2%
3 634
47.6%
15 1
 
0.1%
24 1
 
0.1%

Length

2024-05-11T15:20:47.757985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:47.941619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 695
52.2%
3 634
47.6%
15 1
 
0.1%
24 1
 
0.1%
Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
영업중
695 
폐업
634 
전출
 
1
직권폐업
 
1

Length

Max length4
Median length3
Mean length2.5236664
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 695
52.2%
폐업 634
47.6%
전출 1
 
0.1%
직권폐업 1
 
0.1%

Length

2024-05-11T15:20:48.190444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:48.501665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 695
52.2%
폐업 634
47.6%
전출 1
 
0.1%
직권폐업 1
 
0.1%

폐업일자
Date

MISSING 

Distinct584
Distinct (%)92.6%
Missing700
Missing (%)52.6%
Memory size10.5 KiB
Minimum1997-06-25 00:00:00
Maximum2024-05-01 00:00:00
2024-05-11T15:20:49.040283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:20:49.265989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct11
Distinct (%)100.0%
Missing1320
Missing (%)99.2%
Memory size10.5 KiB
Minimum2009-06-26 00:00:00
Maximum2023-02-24 00:00:00
2024-05-11T15:20:49.465803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:20:49.689448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

휴업종료일자
Date

MISSING 

Distinct11
Distinct (%)100.0%
Missing1320
Missing (%)99.2%
Memory size10.5 KiB
Minimum2009-08-04 00:00:00
Maximum2024-02-26 00:00:00
2024-05-11T15:20:49.848418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:20:50.073427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1331
Missing (%)100.0%
Memory size11.8 KiB

전화번호
Text

MISSING 

Distinct1005
Distinct (%)90.5%
Missing220
Missing (%)16.5%
Memory size10.5 KiB
2024-05-11T15:20:50.538303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.791179
Min length1

Characters and Unicode

Total characters11989
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

Unique924 ?
Unique (%)83.2%

Sample

1st row02-355-1374
2nd row02-355-4615
3rd row02-372-8430
4th row02-359-7887
5th row02-372-6226
ValueCountFrequency (%)
02-355-1079 5
 
0.5%
02-303-8234 4
 
0.4%
02-383-1075 4
 
0.4%
02-388-8361 4
 
0.4%
02-356-0022 4
 
0.4%
02-302-0845 4
 
0.4%
02-355-1194 3
 
0.3%
02-353-8839 3
 
0.3%
02-352-2323 3
 
0.3%
02-356-7528 3
 
0.3%
Other values (995) 1074
96.7%
2024-05-11T15:20:51.308846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2073
17.3%
0 1789
14.9%
2 1753
14.6%
3 1496
12.5%
5 1275
10.6%
8 1012
8.4%
7 824
 
6.9%
1 467
 
3.9%
6 457
 
3.8%
9 450
 
3.8%
Other values (2) 393
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9902
82.6%
Dash Punctuation 2073
 
17.3%
Close Punctuation 14
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1789
18.1%
2 1753
17.7%
3 1496
15.1%
5 1275
12.9%
8 1012
10.2%
7 824
8.3%
1 467
 
4.7%
6 457
 
4.6%
9 450
 
4.5%
4 379
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 2073
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11989
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2073
17.3%
0 1789
14.9%
2 1753
14.6%
3 1496
12.5%
5 1275
10.6%
8 1012
8.4%
7 824
 
6.9%
1 467
 
3.9%
6 457
 
3.8%
9 450
 
3.8%
Other values (2) 393
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11989
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2073
17.3%
0 1789
14.9%
2 1753
14.6%
3 1496
12.5%
5 1275
10.6%
8 1012
8.4%
7 824
 
6.9%
1 467
 
3.9%
6 457
 
3.8%
9 450
 
3.8%
Other values (2) 393
 
3.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1331
Missing (%)100.0%
Memory size11.8 KiB

소재지우편번호
Text

MISSING 

Distinct128
Distinct (%)38.1%
Missing995
Missing (%)74.8%
Memory size10.5 KiB
2024-05-11T15:20:51.822439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1517857
Min length6

Characters and Unicode

Total characters2067
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

Unique63 ?
Unique (%)18.8%

Sample

1st row122920
2nd row122813
3rd row122842
4th row122922
5th row122041
ValueCountFrequency (%)
122837 17
 
5.1%
122842 16
 
4.8%
122200 15
 
4.5%
122813 10
 
3.0%
122819 8
 
2.4%
122882 8
 
2.4%
122924 7
 
2.1%
122906 7
 
2.1%
122808 7
 
2.1%
122823 7
 
2.1%
Other values (118) 234
69.6%
2024-05-11T15:20:52.681164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 775
37.5%
1 407
19.7%
8 232
 
11.2%
0 162
 
7.8%
9 137
 
6.6%
3 94
 
4.5%
7 59
 
2.9%
4 56
 
2.7%
- 51
 
2.5%
6 47
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2016
97.5%
Dash Punctuation 51
 
2.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 775
38.4%
1 407
20.2%
8 232
 
11.5%
0 162
 
8.0%
9 137
 
6.8%
3 94
 
4.7%
7 59
 
2.9%
4 56
 
2.8%
6 47
 
2.3%
5 47
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2067
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 775
37.5%
1 407
19.7%
8 232
 
11.2%
0 162
 
7.8%
9 137
 
6.6%
3 94
 
4.5%
7 59
 
2.9%
4 56
 
2.7%
- 51
 
2.5%
6 47
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2067
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 775
37.5%
1 407
19.7%
8 232
 
11.2%
0 162
 
7.8%
9 137
 
6.6%
3 94
 
4.5%
7 59
 
2.9%
4 56
 
2.7%
- 51
 
2.5%
6 47
 
2.3%

지번주소
Text

MISSING 

Distinct878
Distinct (%)76.3%
Missing180
Missing (%)13.5%
Memory size10.5 KiB
2024-05-11T15:20:53.206262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length44
Mean length23.095569
Min length3

Characters and Unicode

Total characters26583
Distinct characters215
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

Unique717 ?
Unique (%)62.3%

Sample

1st row서울특별시 은평구 대조동 15번지 4호
2nd row서울특별시 은평구 녹번동 27번지 6호
3rd row서울특별시 은평구 대조동 15번지 127호
4th row서울특별시 은평구 불광1동 281번지 104호
5th row서울특별시 은평구 수색동 205번지 530호
ValueCountFrequency (%)
서울특별시 1037
 
17.9%
은평구 1037
 
17.9%
대조동 174
 
3.0%
1호 129
 
2.2%
응암동 108
 
1.9%
불광동 80
 
1.4%
진관동 62
 
1.1%
2층 62
 
1.1%
녹번동 58
 
1.0%
갈현동 54
 
0.9%
Other values (702) 3004
51.7%
2024-05-11T15:20:54.017830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4665
 
17.5%
1 1223
 
4.6%
1180
 
4.4%
1084
 
4.1%
1072
 
4.0%
1065
 
4.0%
1064
 
4.0%
1045
 
3.9%
1044
 
3.9%
1039
 
3.9%
Other values (205) 12102
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16118
60.6%
Decimal Number 5549
 
20.9%
Space Separator 4665
 
17.5%
Dash Punctuation 106
 
0.4%
Other Punctuation 57
 
0.2%
Uppercase Letter 46
 
0.2%
Open Punctuation 18
 
0.1%
Close Punctuation 18
 
0.1%
Math Symbol 4
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1180
 
7.3%
1084
 
6.7%
1072
 
6.7%
1065
 
6.6%
1064
 
6.6%
1045
 
6.5%
1044
 
6.5%
1039
 
6.4%
1037
 
6.4%
1037
 
6.4%
Other values (175) 5451
33.8%
Uppercase Letter
ValueCountFrequency (%)
B 14
30.4%
I 7
15.2%
M 5
 
10.9%
A 4
 
8.7%
C 4
 
8.7%
D 3
 
6.5%
O 2
 
4.3%
S 2
 
4.3%
G 1
 
2.2%
T 1
 
2.2%
Other values (3) 3
 
6.5%
Decimal Number
ValueCountFrequency (%)
1 1223
22.0%
2 880
15.9%
3 624
11.2%
4 518
9.3%
5 448
 
8.1%
6 411
 
7.4%
0 380
 
6.8%
8 368
 
6.6%
7 359
 
6.5%
9 338
 
6.1%
Space Separator
ValueCountFrequency (%)
4665
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%
Other Punctuation
ValueCountFrequency (%)
, 57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16118
60.6%
Common 10417
39.2%
Latin 48
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1180
 
7.3%
1084
 
6.7%
1072
 
6.7%
1065
 
6.6%
1064
 
6.6%
1045
 
6.5%
1044
 
6.5%
1039
 
6.4%
1037
 
6.4%
1037
 
6.4%
Other values (175) 5451
33.8%
Common
ValueCountFrequency (%)
4665
44.8%
1 1223
 
11.7%
2 880
 
8.4%
3 624
 
6.0%
4 518
 
5.0%
5 448
 
4.3%
6 411
 
3.9%
0 380
 
3.6%
8 368
 
3.5%
7 359
 
3.4%
Other values (6) 541
 
5.2%
Latin
ValueCountFrequency (%)
B 14
29.2%
I 7
14.6%
M 5
 
10.4%
A 4
 
8.3%
C 4
 
8.3%
D 3
 
6.2%
e 2
 
4.2%
O 2
 
4.2%
S 2
 
4.2%
G 1
 
2.1%
Other values (4) 4
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16118
60.6%
ASCII 10465
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4665
44.6%
1 1223
 
11.7%
2 880
 
8.4%
3 624
 
6.0%
4 518
 
4.9%
5 448
 
4.3%
6 411
 
3.9%
0 380
 
3.6%
8 368
 
3.5%
7 359
 
3.4%
Other values (20) 589
 
5.6%
Hangul
ValueCountFrequency (%)
1180
 
7.3%
1084
 
6.7%
1072
 
6.7%
1065
 
6.6%
1064
 
6.6%
1045
 
6.5%
1044
 
6.5%
1039
 
6.4%
1037
 
6.4%
1037
 
6.4%
Other values (175) 5451
33.8%

도로명주소
Text

MISSING 

Distinct863
Distinct (%)93.9%
Missing412
Missing (%)31.0%
Memory size10.5 KiB
2024-05-11T15:20:54.583680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length53
Mean length30.932535
Min length21

Characters and Unicode

Total characters28427
Distinct characters250
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

Unique814 ?
Unique (%)88.6%

Sample

1st row서울특별시 은평구 진흥로 187 (대조동)
2nd row서울특별시 은평구 수색로 271-1 (수색동)
3rd row서울특별시 은평구 통일로66길 1 (불광동)
4th row서울특별시 은평구 가좌로7길 7 (응암동)
5th row서울특별시 은평구 통일로 738 (불광동)
ValueCountFrequency (%)
서울특별시 919
 
15.8%
은평구 919
 
15.8%
2층 213
 
3.7%
통일로 199
 
3.4%
응암동 186
 
3.2%
대조동 136
 
2.3%
불광동 135
 
2.3%
은평로 121
 
2.1%
연서로 106
 
1.8%
3층 105
 
1.8%
Other values (832) 2773
47.7%
2024-05-11T15:20:55.307294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4897
 
17.2%
1129
 
4.0%
1094
 
3.8%
1088
 
3.8%
, 1039
 
3.7%
973
 
3.4%
2 963
 
3.4%
962
 
3.4%
941
 
3.3%
( 933
 
3.3%
Other values (240) 14408
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15888
55.9%
Space Separator 4897
 
17.2%
Decimal Number 4476
 
15.7%
Other Punctuation 1042
 
3.7%
Open Punctuation 933
 
3.3%
Close Punctuation 933
 
3.3%
Dash Punctuation 136
 
0.5%
Uppercase Letter 100
 
0.4%
Math Symbol 18
 
0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1129
 
7.1%
1094
 
6.9%
1088
 
6.8%
973
 
6.1%
962
 
6.1%
941
 
5.9%
929
 
5.8%
923
 
5.8%
919
 
5.8%
919
 
5.8%
Other values (204) 6011
37.8%
Uppercase Letter
ValueCountFrequency (%)
B 27
27.0%
C 11
11.0%
I 11
11.0%
M 11
11.0%
A 9
 
9.0%
D 9
 
9.0%
S 6
 
6.0%
W 3
 
3.0%
R 2
 
2.0%
O 2
 
2.0%
Other values (6) 9
 
9.0%
Decimal Number
ValueCountFrequency (%)
2 963
21.5%
1 835
18.7%
3 551
12.3%
0 463
10.3%
4 332
 
7.4%
5 317
 
7.1%
7 314
 
7.0%
6 269
 
6.0%
8 251
 
5.6%
9 181
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
s 1
25.0%
w 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 1039
99.7%
/ 3
 
0.3%
Space Separator
ValueCountFrequency (%)
4897
100.0%
Open Punctuation
ValueCountFrequency (%)
( 933
100.0%
Close Punctuation
ValueCountFrequency (%)
) 933
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%
Math Symbol
ValueCountFrequency (%)
~ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15888
55.9%
Common 12435
43.7%
Latin 104
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1129
 
7.1%
1094
 
6.9%
1088
 
6.8%
973
 
6.1%
962
 
6.1%
941
 
5.9%
929
 
5.8%
923
 
5.8%
919
 
5.8%
919
 
5.8%
Other values (204) 6011
37.8%
Latin
ValueCountFrequency (%)
B 27
26.0%
C 11
10.6%
I 11
10.6%
M 11
10.6%
A 9
 
8.7%
D 9
 
8.7%
S 6
 
5.8%
W 3
 
2.9%
R 2
 
1.9%
O 2
 
1.9%
Other values (9) 13
12.5%
Common
ValueCountFrequency (%)
4897
39.4%
, 1039
 
8.4%
2 963
 
7.7%
( 933
 
7.5%
) 933
 
7.5%
1 835
 
6.7%
3 551
 
4.4%
0 463
 
3.7%
4 332
 
2.7%
5 317
 
2.5%
Other values (7) 1172
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15888
55.9%
ASCII 12539
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4897
39.1%
, 1039
 
8.3%
2 963
 
7.7%
( 933
 
7.4%
) 933
 
7.4%
1 835
 
6.7%
3 551
 
4.4%
0 463
 
3.7%
4 332
 
2.6%
5 317
 
2.5%
Other values (26) 1276
 
10.2%
Hangul
ValueCountFrequency (%)
1129
 
7.1%
1094
 
6.9%
1088
 
6.8%
973
 
6.1%
962
 
6.1%
941
 
5.9%
929
 
5.8%
923
 
5.8%
919
 
5.8%
919
 
5.8%
Other values (204) 6011
37.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct160
Distinct (%)18.4%
Missing463
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean8902.4988
Minimum3300
Maximum122959
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 KiB
2024-05-11T15:20:55.604882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3300
5-th percentile3306
Q13350
median3397
Q33461
95-th percentile3505
Maximum122959
Range119659
Interquartile range (IQR)111

Descriptive statistics

Standard deviation25054.265
Coefficient of variation (CV)2.8142958
Kurtosis16.852111
Mean8902.4988
Median Absolute Deviation (MAD)55
Skewness4.3374095
Sum7727369
Variance6.277162 × 108
MonotonicityNot monotonic
2024-05-11T15:20:55.884320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3306 46
 
3.5%
3396 36
 
2.7%
3385 34
 
2.6%
3330 29
 
2.2%
3350 29
 
2.2%
3461 25
 
1.9%
3397 23
 
1.7%
3368 22
 
1.7%
3345 22
 
1.7%
3394 19
 
1.4%
Other values (150) 583
43.8%
(Missing) 463
34.8%
ValueCountFrequency (%)
3300 4
 
0.3%
3301 5
 
0.4%
3302 5
 
0.4%
3303 3
 
0.2%
3306 46
3.5%
3310 2
 
0.2%
3311 7
 
0.5%
3315 1
 
0.1%
3318 1
 
0.1%
3320 2
 
0.2%
ValueCountFrequency (%)
122959 1
0.1%
122952 2
0.2%
122930 1
0.1%
122924 1
0.1%
122923 1
0.1%
122920 1
0.1%
122919 1
0.1%
122906 1
0.1%
122903 1
0.1%
122900 1
0.1%
Distinct1222
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
2024-05-11T15:20:56.293453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length7.2712246
Min length3

Characters and Unicode

Total characters9678
Distinct characters408
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1134 ?
Unique (%)85.2%

Sample

1st row주일반외과의원
2nd row이인규내과의원
3rd row부부의원
4th row이이비인후과의원
5th row김경옥의원
ValueCountFrequency (%)
경희한의원 7
 
0.5%
참미소치과의원 4
 
0.3%
은평한의원 4
 
0.3%
청아산부인과의원 4
 
0.3%
월오한의원 4
 
0.3%
삼성속편한의원 3
 
0.2%
동방한의원 3
 
0.2%
살림의료복지사회적협동조합 3
 
0.2%
푸른치과의원 3
 
0.2%
박행렬내과의원 3
 
0.2%
Other values (1227) 1316
97.2%
2024-05-11T15:20:57.064307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1424
 
14.7%
1349
 
13.9%
845
 
8.7%
378
 
3.9%
343
 
3.5%
153
 
1.6%
149
 
1.5%
138
 
1.4%
138
 
1.4%
130
 
1.3%
Other values (398) 4631
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9609
99.3%
Space Separator 23
 
0.2%
Decimal Number 19
 
0.2%
Close Punctuation 7
 
0.1%
Open Punctuation 7
 
0.1%
Lowercase Letter 6
 
0.1%
Uppercase Letter 6
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1424
 
14.8%
1349
 
14.0%
845
 
8.8%
378
 
3.9%
343
 
3.6%
153
 
1.6%
149
 
1.6%
138
 
1.4%
138
 
1.4%
130
 
1.4%
Other values (385) 4562
47.5%
Decimal Number
ValueCountFrequency (%)
5 5
26.3%
6 5
26.3%
3 5
26.3%
9 2
 
10.5%
2 1
 
5.3%
1 1
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
K 3
50.0%
O 3
50.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9609
99.3%
Common 57
 
0.6%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1424
 
14.8%
1349
 
14.0%
845
 
8.8%
378
 
3.9%
343
 
3.6%
153
 
1.6%
149
 
1.6%
138
 
1.4%
138
 
1.4%
130
 
1.4%
Other values (385) 4562
47.5%
Common
ValueCountFrequency (%)
23
40.4%
) 7
 
12.3%
( 7
 
12.3%
5 5
 
8.8%
6 5
 
8.8%
3 5
 
8.8%
9 2
 
3.5%
2 1
 
1.8%
1 1
 
1.8%
. 1
 
1.8%
Latin
ValueCountFrequency (%)
e 6
50.0%
K 3
25.0%
O 3
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9609
99.3%
ASCII 69
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1424
 
14.8%
1349
 
14.0%
845
 
8.8%
378
 
3.9%
343
 
3.6%
153
 
1.6%
149
 
1.6%
138
 
1.4%
138
 
1.4%
130
 
1.4%
Other values (385) 4562
47.5%
ASCII
ValueCountFrequency (%)
23
33.3%
) 7
 
10.1%
( 7
 
10.1%
e 6
 
8.7%
5 5
 
7.2%
6 5
 
7.2%
3 5
 
7.2%
K 3
 
4.3%
O 3
 
4.3%
9 2
 
2.9%
Other values (3) 3
 
4.3%
Distinct965
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
Minimum2008-12-15 13:29:10
Maximum2024-05-09 23:43:14
2024-05-11T15:20:57.409755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:20:57.639910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
I
689 
U
642 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 689
51.8%
U 642
48.2%

Length

2024-05-11T15:20:57.887081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:58.075624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 689
51.8%
u 642
48.2%
Distinct369
Distinct (%)27.7%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T15:20:58.282727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:20:58.570246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
의원
677 
치과의원
335 
한의원
316 
보건지소
 
2
보건소
 
1

Length

Max length4
Median length2
Mean length2.744553
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
의원 677
50.9%
치과의원 335
25.2%
한의원 316
23.7%
보건지소 2
 
0.2%
보건소 1
 
0.1%

Length

2024-05-11T15:20:58.910407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:59.203833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 677
50.9%
치과의원 335
25.2%
한의원 316
23.7%
보건지소 2
 
0.2%
보건소 1
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct479
Distinct (%)54.9%
Missing459
Missing (%)34.5%
Infinite0
Infinite (%)0.0%
Mean192890.36
Minimum190470.57
Maximum194430.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 KiB
2024-05-11T15:20:59.445097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190470.57
5-th percentile191900.84
Q1192563
median192880.17
Q3193305.44
95-th percentile193952.13
Maximum194430.53
Range3959.9592
Interquartile range (IQR)742.4441

Descriptive statistics

Standard deviation687.00455
Coefficient of variation (CV)0.0035616324
Kurtosis1.1195018
Mean192890.36
Median Absolute Deviation (MAD)368.92275
Skewness-0.57701833
Sum1.6820039 × 108
Variance471975.25
MonotonicityNot monotonic
2024-05-11T15:20:59.737137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192812.253774617 11
 
0.8%
193098.510716617 11
 
0.8%
193619.000180033 10
 
0.8%
192962.467769297 10
 
0.8%
192584.639355994 8
 
0.6%
192831.901570697 8
 
0.6%
192888.942502003 8
 
0.6%
192998.202204135 8
 
0.6%
193138.743580345 8
 
0.6%
192901.194776125 7
 
0.5%
Other values (469) 783
58.8%
(Missing) 459
34.5%
ValueCountFrequency (%)
190470.571086776 1
0.1%
190562.233862538 1
0.1%
190569.464805311 1
0.1%
190591.697515925 1
0.1%
190602.260492829 2
0.2%
190615.9021719 1
0.1%
190627.328299901 1
0.1%
190661.668310498 2
0.2%
190667.255093578 1
0.1%
190705.326283408 1
0.1%
ValueCountFrequency (%)
194430.530275405 1
 
0.1%
194408.745928276 1
 
0.1%
194353.326216093 1
 
0.1%
194264.653881111 1
 
0.1%
194260.483039208 1
 
0.1%
194232.037828493 1
 
0.1%
194228.02282041 5
0.4%
194220.324789601 4
0.3%
194170.568271966 1
 
0.1%
194140.340023169 7
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct479
Distinct (%)54.9%
Missing459
Missing (%)34.5%
Infinite0
Infinite (%)0.0%
Mean456216.98
Minimum452799.6
Maximum460518.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 KiB
2024-05-11T15:21:00.021588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452799.6
5-th percentile453637.43
Q1455276.73
median456409.77
Q3457279.88
95-th percentile459204.65
Maximum460518.84
Range7719.2402
Interquartile range (IQR)2003.1522

Descriptive statistics

Standard deviation1510.2729
Coefficient of variation (CV)0.0033104268
Kurtosis-0.010231347
Mean456216.98
Median Absolute Deviation (MAD)1038.8303
Skewness0.17461278
Sum3.9782121 × 108
Variance2280924.3
MonotonicityNot monotonic
2024-05-11T15:21:00.333226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
459266.981388393 11
 
0.8%
457413.485554704 11
 
0.8%
456564.782115509 10
 
0.8%
455350.591743558 10
 
0.8%
456538.922729473 8
 
0.6%
459170.418887077 8
 
0.6%
457417.384961226 8
 
0.6%
457479.99522553 8
 
0.6%
455325.930943773 8
 
0.6%
457313.592582707 7
 
0.5%
Other values (469) 783
58.8%
(Missing) 459
34.5%
ValueCountFrequency (%)
452799.599269845 1
 
0.1%
452890.003005512 4
0.3%
452946.246733537 1
 
0.1%
453037.787995874 1
 
0.1%
453147.707700463 1
 
0.1%
453174.186668694 3
0.2%
453194.537663327 2
0.2%
453207.669795401 1
 
0.1%
453295.272029369 1
 
0.1%
453295.781525013 1
 
0.1%
ValueCountFrequency (%)
460518.839422473 2
0.2%
460413.01992851 1
0.1%
460316.757008927 2
0.2%
460276.405968655 1
0.1%
460081.763737 1
0.1%
460038.671289923 1
0.1%
459986.856034813 2
0.2%
459905.785470521 1
0.1%
459903.972312 1
0.1%
459895.117541727 1
0.1%
Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
의원
461 
<NA>
437 
치과의원
249 
한의원
182 
보건소
 
1

Length

Max length4
Median length4
Mean length3.1697971
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
의원 461
34.6%
<NA> 437
32.8%
치과의원 249
18.7%
한의원 182
 
13.7%
보건소 1
 
0.1%
보건지소 1
 
0.1%

Length

2024-05-11T15:21:00.649492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:00.894731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 461
34.6%
na 437
32.8%
치과의원 249
18.7%
한의원 182
 
13.7%
보건소 1
 
0.1%
보건지소 1
 
0.1%

의료인수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)1.0%
Missing437
Missing (%)32.8%
Infinite0
Infinite (%)0.0%
Mean0.901566
Minimum0
Maximum16
Zeros215
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size11.8 KiB
2024-05-11T15:21:01.074651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.91969724
Coefficient of variation (CV)1.0201108
Kurtosis116.81963
Mean0.901566
Median Absolute Deviation (MAD)0
Skewness8.1426597
Sum806
Variance0.84584301
MonotonicityNot monotonic
2024-05-11T15:21:01.293266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 599
45.0%
0 215
 
16.2%
2 65
 
4.9%
3 9
 
0.7%
4 2
 
0.2%
16 1
 
0.1%
13 1
 
0.1%
6 1
 
0.1%
7 1
 
0.1%
(Missing) 437
32.8%
ValueCountFrequency (%)
0 215
 
16.2%
1 599
45.0%
2 65
 
4.9%
3 9
 
0.7%
4 2
 
0.2%
6 1
 
0.1%
7 1
 
0.1%
13 1
 
0.1%
16 1
 
0.1%
ValueCountFrequency (%)
16 1
 
0.1%
13 1
 
0.1%
7 1
 
0.1%
6 1
 
0.1%
4 2
 
0.2%
3 9
 
0.7%
2 65
 
4.9%
1 599
45.0%
0 215
 
16.2%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)1.1%
Missing437
Missing (%)32.8%
Infinite0
Infinite (%)0.0%
Mean0.12751678
Minimum0
Maximum15
Zeros867
Zeros (%)65.1%
Negative0
Negative (%)0.0%
Memory size11.8 KiB
2024-05-11T15:21:01.461494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.90751688
Coefficient of variation (CV)7.1168429
Kurtosis110.83974
Mean0.12751678
Median Absolute Deviation (MAD)0
Skewness9.4763506
Sum114
Variance0.82358688
MonotonicityNot monotonic
2024-05-11T15:21:01.617391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 867
65.1%
1 7
 
0.5%
6 5
 
0.4%
2 3
 
0.2%
3 3
 
0.2%
4 3
 
0.2%
8 2
 
0.2%
7 2
 
0.2%
5 1
 
0.1%
15 1
 
0.1%
(Missing) 437
32.8%
ValueCountFrequency (%)
0 867
65.1%
1 7
 
0.5%
2 3
 
0.2%
3 3
 
0.2%
4 3
 
0.2%
5 1
 
0.1%
6 5
 
0.4%
7 2
 
0.2%
8 2
 
0.2%
15 1
 
0.1%
ValueCountFrequency (%)
15 1
 
0.1%
8 2
 
0.2%
7 2
 
0.2%
6 5
 
0.4%
5 1
 
0.1%
4 3
 
0.2%
3 3
 
0.2%
2 3
 
0.2%
1 7
 
0.5%
0 867
65.1%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)1.9%
Missing437
Missing (%)32.8%
Infinite0
Infinite (%)0.0%
Mean0.52796421
Minimum0
Maximum49
Zeros857
Zeros (%)64.4%
Negative0
Negative (%)0.0%
Memory size11.8 KiB
2024-05-11T15:21:01.788872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum49
Range49
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.6561015
Coefficient of variation (CV)6.9249041
Kurtosis89.1616
Mean0.52796421
Median Absolute Deviation (MAD)0
Skewness8.8342184
Sum472
Variance13.367078
MonotonicityNot monotonic
2024-05-11T15:21:02.357363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 857
64.4%
1 8
 
0.6%
23 5
 
0.4%
2 3
 
0.2%
5 3
 
0.2%
29 3
 
0.2%
3 2
 
0.2%
6 2
 
0.2%
12 2
 
0.2%
19 2
 
0.2%
Other values (7) 7
 
0.5%
(Missing) 437
32.8%
ValueCountFrequency (%)
0 857
64.4%
1 8
 
0.6%
2 3
 
0.2%
3 2
 
0.2%
4 1
 
0.1%
5 3
 
0.2%
6 2
 
0.2%
7 1
 
0.1%
11 1
 
0.1%
12 2
 
0.2%
ValueCountFrequency (%)
49 1
 
0.1%
48 1
 
0.1%
29 3
0.2%
26 1
 
0.1%
23 5
0.4%
19 2
 
0.2%
16 1
 
0.1%
12 2
 
0.2%
11 1
 
0.1%
7 1
 
0.1%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct515
Distinct (%)57.6%
Missing437
Missing (%)32.8%
Infinite0
Infinite (%)0.0%
Mean84.152573
Minimum0
Maximum908
Zeros342
Zeros (%)25.7%
Negative0
Negative (%)0.0%
Memory size11.8 KiB
2024-05-11T15:21:02.607604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median74.52
Q3125.425
95-th percentile272.432
Maximum908
Range908
Interquartile range (IQR)125.425

Descriptive statistics

Standard deviation97.498568
Coefficient of variation (CV)1.1585928
Kurtosis8.6731763
Mean84.152573
Median Absolute Deviation (MAD)74.52
Skewness2.1174773
Sum75232.4
Variance9505.9708
MonotonicityNot monotonic
2024-05-11T15:21:02.825999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 342
25.7%
89.6 4
 
0.3%
115.5 3
 
0.2%
99.0 3
 
0.2%
132.0 3
 
0.2%
287.2 3
 
0.2%
78.5 2
 
0.2%
71.8 2
 
0.2%
89.5 2
 
0.2%
90.0 2
 
0.2%
Other values (505) 528
39.7%
(Missing) 437
32.8%
ValueCountFrequency (%)
0.0 342
25.7%
28.2 1
 
0.1%
29.2 1
 
0.1%
33.21 1
 
0.1%
34.18 1
 
0.1%
36.48 1
 
0.1%
36.97 1
 
0.1%
38.78 1
 
0.1%
40.0 1
 
0.1%
40.37 1
 
0.1%
ValueCountFrequency (%)
908.0 1
0.1%
578.21 1
0.1%
564.0 1
0.1%
536.82 1
0.1%
520.63 1
0.1%
500.0 1
0.1%
479.72 1
0.1%
457.53 1
0.1%
421.9 1
0.1%
418.0 1
0.1%

진료과목내용
Text

MISSING 

Distinct207
Distinct (%)23.2%
Missing437
Missing (%)32.8%
Memory size10.5 KiB
2024-05-11T15:21:03.116065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length3
Mean length13.479866
Min length3

Characters and Unicode

Total characters12051
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

Unique167 ?
Unique (%)18.7%

Sample

1st row101
2nd row101
3rd row101
4th row101
5th row101
ValueCountFrequency (%)
101 344
 
10.6%
401 218
 
6.7%
301 182
 
5.6%
303 182
 
5.6%
308 182
 
5.6%
302 181
 
5.6%
304 178
 
5.5%
305 178
 
5.5%
306 177
 
5.5%
307 166
 
5.1%
Other values (46) 1247
38.5%
2024-05-11T15:21:03.551169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2678
22.2%
1 2608
21.6%
2343
19.4%
3 1882
15.6%
4 897
 
7.4%
2 451
 
3.7%
5 309
 
2.6%
6 250
 
2.1%
8 247
 
2.0%
7 200
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9708
80.6%
Space Separator 2343
 
19.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2678
27.6%
1 2608
26.9%
3 1882
19.4%
4 897
 
9.2%
2 451
 
4.6%
5 309
 
3.2%
6 250
 
2.6%
8 247
 
2.5%
7 200
 
2.1%
9 186
 
1.9%
Space Separator
ValueCountFrequency (%)
2343
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12051
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2678
22.2%
1 2608
21.6%
2343
19.4%
3 1882
15.6%
4 897
 
7.4%
2 451
 
3.7%
5 309
 
2.6%
6 250
 
2.1%
8 247
 
2.0%
7 200
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12051
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2678
22.2%
1 2608
21.6%
2343
19.4%
3 1882
15.6%
4 897
 
7.4%
2 451
 
3.7%
5 309
 
2.6%
6 250
 
2.1%
8 247
 
2.0%
7 200
 
1.7%

진료과목내용명
Text

MISSING 

Distinct155
Distinct (%)17.3%
Missing437
Missing (%)32.8%
Memory size10.5 KiB
2024-05-11T15:21:03.826324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length74
Mean length22.464206
Min length2

Characters and Unicode

Total characters20083
Distinct characters66
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

Unique116 ?
Unique (%)13.0%

Sample

1st row내과
2nd row내과
3rd row내과
4th row내과
5th row내과
ValueCountFrequency (%)
내과 344
 
10.6%
치과 219
 
6.8%
한방내과 182
 
5.6%
한방소아과 182
 
5.6%
침구과 182
 
5.6%
한방부인과 181
 
5.6%
한방안?이비인후?피부과 178
 
5.5%
한방신경정신과 178
 
5.5%
한방재활의학과 177
 
5.5%
사상체질과 166
 
5.1%
Other values (35) 1245
38.5%
2024-05-11T15:21:04.426936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3327
16.6%
, 2340
 
11.7%
2340
 
11.7%
1236
 
6.2%
1202
 
6.0%
557
 
2.8%
518
 
2.6%
496
 
2.5%
465
 
2.3%
451
 
2.2%
Other values (56) 7151
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15047
74.9%
Other Punctuation 2696
 
13.4%
Space Separator 2340
 
11.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3327
22.1%
1236
 
8.2%
1202
 
8.0%
557
 
3.7%
518
 
3.4%
496
 
3.3%
465
 
3.1%
451
 
3.0%
422
 
2.8%
422
 
2.8%
Other values (53) 5951
39.5%
Other Punctuation
ValueCountFrequency (%)
, 2340
86.8%
? 356
 
13.2%
Space Separator
ValueCountFrequency (%)
2340
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15047
74.9%
Common 5036
 
25.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3327
22.1%
1236
 
8.2%
1202
 
8.0%
557
 
3.7%
518
 
3.4%
496
 
3.3%
465
 
3.1%
451
 
3.0%
422
 
2.8%
422
 
2.8%
Other values (53) 5951
39.5%
Common
ValueCountFrequency (%)
, 2340
46.5%
2340
46.5%
? 356
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15047
74.9%
ASCII 5036
 
25.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3327
22.1%
1236
 
8.2%
1202
 
8.0%
557
 
3.7%
518
 
3.4%
496
 
3.3%
465
 
3.1%
451
 
3.0%
422
 
2.8%
422
 
2.8%
Other values (53) 5951
39.5%
ASCII
ValueCountFrequency (%)
, 2340
46.5%
2340
46.5%
? 356
 
7.1%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1331
Missing (%)100.0%
Memory size11.8 KiB

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1331
Missing (%)100.0%
Memory size11.8 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1331
Missing (%)100.0%
Memory size11.8 KiB

구급차특수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
0
894 
<NA>
437 

Length

Max length4
Median length1
Mean length1.9849737
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 894
67.2%
<NA> 437
32.8%

Length

2024-05-11T15:21:04.616392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:04.799271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 894
67.2%
na 437
32.8%

구급차일반
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
0
894 
<NA>
437 

Length

Max length4
Median length1
Mean length1.9849737
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 894
67.2%
<NA> 437
32.8%

Length

2024-05-11T15:21:04.960360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:05.089530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 894
67.2%
na 437
32.8%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1331
Missing (%)100.0%
Memory size11.8 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1331
Missing (%)100.0%
Memory size11.8 KiB

허가병상수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
0
894 
<NA>
437 

Length

Max length4
Median length1
Mean length1.9849737
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 894
67.2%
<NA> 437
32.8%

Length

2024-05-11T15:21:05.272069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:05.482070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 894
67.2%
na 437
32.8%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1331
Missing (%)100.0%
Memory size11.8 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03110000PHMA11965311003204110000119650830<NA>3폐업3폐업19980205<NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 15번지 4호<NA><NA>주일반외과의원2008-12-15 13:29:59I2018-08-31 23:59:59.0의원<NA><NA>의원0000.0101내과<NA><NA><NA>00<NA><NA>0<NA>
13110000PHMA11965311003204110000219650830<NA>3폐업3폐업19990526<NA><NA><NA><NA><NA><NA>서울특별시 은평구 녹번동 27번지 6호<NA><NA>이인규내과의원2008-12-15 13:29:59I2018-08-31 23:59:59.0의원<NA><NA>의원0000.0101내과<NA><NA><NA>00<NA><NA>0<NA>
23110000PHMA11965311003204110000319650830<NA>3폐업3폐업20190507<NA><NA><NA>02-355-1374<NA><NA>서울특별시 은평구 대조동 15번지 127호서울특별시 은평구 진흥로 187 (대조동)3397부부의원2019-05-07 17:28:12U2019-05-09 02:40:00.0의원193770.099217456258.723895의원100116.0101내과<NA><NA><NA>00<NA><NA>0<NA>
33110000PHMA11965311003204110000419650830<NA>3폐업3폐업20030630<NA><NA><NA><NA><NA><NA>서울특별시 은평구 불광1동 281번지 104호<NA><NA>이이비인후과의원2008-12-15 13:29:59I2018-08-31 23:59:59.0의원<NA><NA>의원0000.0101내과<NA><NA><NA>00<NA><NA>0<NA>
43110000PHMA11965311003204110000519650830<NA>3폐업3폐업19981215<NA><NA><NA><NA><NA><NA>서울특별시 은평구 수색동 205번지 530호<NA><NA>김경옥의원2008-12-15 13:29:59I2018-08-31 23:59:59.0의원<NA><NA>의원0000.0101내과<NA><NA><NA>00<NA><NA>0<NA>
53110000PHMA11965311003204110000619650830<NA>3폐업3폐업20070625<NA><NA><NA>02-355-4615<NA><NA>서울특별시 은평구 대조동 15번지 46호<NA><NA>이치과의원2008-12-15 13:29:59I2018-08-31 23:59:59.0치과의원<NA><NA>치과의원1000.0401치과<NA><NA><NA>00<NA><NA>0<NA>
63110000PHMA11965311003204110000719650830<NA>3폐업3폐업19970930<NA><NA><NA>02-372-8430<NA><NA>수색동 370번지 5호<NA><NA>성산한의원2008-12-15 13:29:59I2018-08-31 23:59:59.0한의원<NA><NA>한의원1000.0301 302 303 304 305 306 307 308 309한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과, 한방응급과<NA><NA><NA>00<NA><NA>0<NA>
73110000PHMA11965311003204110000819651103<NA>3폐업3폐업20050930<NA><NA><NA>02-359-7887<NA>122920응암2동 427번지 56호<NA><NA>증세한의원2008-12-15 13:30:00I2018-08-31 23:59:59.0한의원<NA><NA>한의원1000.0301 302 303 304 305 306 307 308 309한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과, 한방응급과<NA><NA><NA>00<NA><NA>0<NA>
83110000PHMA11965311003204110000919651113<NA>3폐업3폐업20141201<NA><NA><NA>02-372-6226<NA><NA>서울특별시 은평구 수색동 370번지 2호서울특별시 은평구 수색로 271-1 (수색동)122878임치과의원2014-12-01 10:35:13I2018-08-31 23:59:59.0치과의원190569.464805453383.558374치과의원10038.78401치과<NA><NA><NA>00<NA><NA>0<NA>
93110000PHMA11966311003204110000119660518<NA>3폐업3폐업20011124<NA><NA><NA>02-359-8063<NA><NA>대조동 15번진 105호<NA><NA>부산한의원2008-12-15 13:30:00I2018-08-31 23:59:59.0한의원<NA><NA>한의원1000.0301 302 303 304 305 306 307 308 309한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과, 한방응급과<NA><NA><NA>00<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
13213110000PHMA1202331100320411000202023-12-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-389-9312<NA><NA>서울특별시 은평구 녹번동 19-121 은평 미드스퀘어서울특별시 은평구 통일로 636, 은평 미드스퀘어 210~212호 (녹번동)3372연세안녕치과의원2023-12-08 17:09:57U2022-11-01 23:00:00.0치과의원194220.32479455685.624981<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13223110000PHMA1202331100320411000212023-12-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-306-2875<NA><NA>서울특별시 은평구 신사동 22-1서울특별시 은평구 은평로 60, 3,4층 (신사동)3449서울독일치과의원2024-04-05 05:13:14U2023-12-04 00:07:00.0치과의원192378.148129455145.540223<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13233110000PHMA1202331100320411000222023-12-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6954-7333<NA><NA><NA>서울특별시 은평구 통일로 750, 2층 (불광동)3355무궁화한의원2024-04-29 17:03:24U2023-12-05 00:01:00.0한의원193629.467856456677.678456<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13243110000PHMA1202431100320411000012016-02-04<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6394-7575<NA><NA><NA>서울특별시 은평구 수색로 322, 상가 2동 203, 204호 (수색동)3488바로나은치과의원2024-01-18 11:00:22U2023-11-30 22:00:00.0치과의원<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13253110000PHMA1202431100320411000022024-01-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6352-7575<NA><NA>서울특별시 은평구 진관동 72 드림스퀘어서울특별시 은평구 진관2로 29-21, 드림스퀘어 3층 302,303호 (진관동)3306은평삼성화외과의원2024-03-15 01:13:16U2023-12-02 23:07:00.0의원192812.253775459266.981388<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13263110000PHMA1202431100320411000032024-02-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-358-7575<NA><NA>서울특별시 은평구 구산동 1-24 상원빌딩서울특별시 은평구 서오릉로 145, 상원빌딩 3층 (구산동)3412오른외과의원2024-03-08 09:13:15U2023-12-02 23:00:00.0의원192563.874496456570.084566<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13273110000PHMA1202431100320411000042024-02-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-0000-0000<NA><NA>서울특별시 은평구 녹번동 250서울특별시 은평구 은평로 227, 4,5층 (녹번동)3383미래아산내과의원2024-02-26 17:25:04I2023-12-01 22:09:00.0의원194016.970071455444.176769<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13283110000PHMA1202431100320411000052024-03-06<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6956-7300<NA><NA>서울특별시 은평구 진관동 100 은평헤스티아서울특별시 은평구 통일로 1030, 은평헤스티아 2층 201,202호 (진관동)3311은평등대신경과의원2024-03-29 00:13:21U2023-12-02 21:01:00.0의원<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13293110000PHMA1202431100320411000062024-04-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 녹번동 250 MD빌딩서울특별시 은평구 은평로 227, MD빌딩 2,지하1층 (녹번동)3383밝은내일재활의학과의원2024-05-03 03:13:17U2023-12-05 00:05:00.0의원194016.970071455444.176769<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13303110000PHMA1202431100320411000072024-04-22<NA>1영업/정상13영업중<NA><NA><NA><NA>02-302-2804<NA><NA>서울특별시 은평구 수색동 359-9서울특별시 은평구 은평터널로 15, DMC파인시티자이 상가동 1층 207호 (수색동)3489더연세치과의원2024-04-22 13:41:41I2023-12-03 22:04:00.0치과의원190615.902172453625.2394<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>