Overview

Dataset statistics

Number of variables41
Number of observations838
Missing cells12120
Missing cells (%)35.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory286.6 KiB
Average record size in memory350.2 B

Variable types

Categorical12
Text8
DateTime6
Unsupported8
Numeric7

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),의료기관종별명,의료인수,입원실수,병상수,총면적,진료과목내용,진료과목내용명,지정취소일자,완화의료지정형태,완화의료담당부서명,구급차특수,구급차일반,총인원,구조사수,허가병상수,최초지정일자
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-16230/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (98.7%)Imbalance
영업상태코드 is highly imbalanced (51.9%)Imbalance
영업상태명 is highly imbalanced (51.9%)Imbalance
상세영업상태코드 is highly imbalanced (58.4%)Imbalance
상세영업상태명 is highly imbalanced (58.4%)Imbalance
폐업일자 has 582 (69.5%) missing valuesMissing
휴업시작일자 has 832 (99.3%) missing valuesMissing
휴업종료일자 has 832 (99.3%) missing valuesMissing
재개업일자 has 838 (100.0%) missing valuesMissing
전화번호 has 12 (1.4%) missing valuesMissing
소재지면적 has 838 (100.0%) missing valuesMissing
소재지우편번호 has 642 (76.6%) missing valuesMissing
지번주소 has 89 (10.6%) missing valuesMissing
도로명주소 has 105 (12.5%) missing valuesMissing
도로명우편번호 has 134 (16.0%) missing valuesMissing
좌표정보(X) has 117 (14.0%) missing valuesMissing
좌표정보(Y) has 117 (14.0%) missing valuesMissing
의료인수 has 325 (38.8%) missing valuesMissing
입원실수 has 325 (38.8%) missing valuesMissing
병상수 has 325 (38.8%) missing valuesMissing
총면적 has 325 (38.8%) missing valuesMissing
진료과목내용 has 327 (39.0%) missing valuesMissing
진료과목내용명 has 327 (39.0%) missing valuesMissing
지정취소일자 has 838 (100.0%) missing valuesMissing
완화의료지정형태 has 838 (100.0%) missing valuesMissing
완화의료담당부서명 has 838 (100.0%) missing valuesMissing
총인원 has 838 (100.0%) missing valuesMissing
구조사수 has 838 (100.0%) missing valuesMissing
최초지정일자 has 838 (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 484 (57.8%) zerosZeros
병상수 has 474 (56.6%) zerosZeros

Reproduction

Analysis started2024-04-29 18:55:58.172803
Analysis finished2024-04-29 18:55:59.267295
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
3160000
838 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 838
100.0%

Length

2024-04-30T03:55:59.333702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:59.408525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 838
100.0%

관리번호
Text

UNIQUE 

Distinct838
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2024-04-30T03:55:59.545138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters20950
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

Unique838 ?
Unique (%)100.0%

Sample

1st rowPHMA119653160034041100001
2nd rowPHMA119673160034041100005
3rd rowPHMA119703160034041100008
4th rowPHMA119703160034041190008
5th rowPHMA119723160034041100015
ValueCountFrequency (%)
phma119653160034041100001 1
 
0.1%
phma120103160034041100020 1
 
0.1%
phma120113160034041100020 1
 
0.1%
phma120123160034041100006 1
 
0.1%
phma120113160034041100021 1
 
0.1%
phma120113160034041100022 1
 
0.1%
phma120113160034041100023 1
 
0.1%
phma120113160034041100024 1
 
0.1%
phma120113160034041100025 1
 
0.1%
phma120123160034041100001 1
 
0.1%
Other values (828) 828
98.8%
2024-04-30T03:55:59.805032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5843
27.9%
1 4216
20.1%
3 1976
 
9.4%
4 1915
 
9.1%
2 1179
 
5.6%
6 1135
 
5.4%
P 838
 
4.0%
H 838
 
4.0%
M 838
 
4.0%
A 838
 
4.0%
Other values (4) 1334
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17598
84.0%
Uppercase Letter 3352
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5843
33.2%
1 4216
24.0%
3 1976
 
11.2%
4 1915
 
10.9%
2 1179
 
6.7%
6 1135
 
6.4%
9 573
 
3.3%
8 273
 
1.6%
5 259
 
1.5%
7 229
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
P 838
25.0%
H 838
25.0%
M 838
25.0%
A 838
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17598
84.0%
Latin 3352
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5843
33.2%
1 4216
24.0%
3 1976
 
11.2%
4 1915
 
10.9%
2 1179
 
6.7%
6 1135
 
6.4%
9 573
 
3.3%
8 273
 
1.6%
5 259
 
1.5%
7 229
 
1.3%
Latin
ValueCountFrequency (%)
P 838
25.0%
H 838
25.0%
M 838
25.0%
A 838
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20950
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5843
27.9%
1 4216
20.1%
3 1976
 
9.4%
4 1915
 
9.1%
2 1179
 
5.6%
6 1135
 
5.4%
P 838
 
4.0%
H 838
 
4.0%
M 838
 
4.0%
A 838
 
4.0%
Other values (4) 1334
 
6.4%
Distinct783
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
Minimum1965-08-30 00:00:00
Maximum2024-03-12 00:00:00
2024-04-30T03:55:59.924054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:56:00.060692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
<NA>
837 
20220617
 
1

Length

Max length8
Median length4
Mean length4.0047733
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 837
99.9%
20220617 1
 
0.1%

Length

2024-04-30T03:56:00.187092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:56:00.279779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 837
99.9%
20220617 1
 
0.1%

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
1
575 
3
256 
5
 
4
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 575
68.6%
3 256
30.5%
5 4
 
0.5%
2 3
 
0.4%

Length

2024-04-30T03:56:00.363539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:56:00.455077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 575
68.6%
3 256
30.5%
5 4
 
0.5%
2 3
 
0.4%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
영업/정상
575 
폐업
256 
제외/삭제/전출
 
4
휴업
 
3

Length

Max length8
Median length5
Mean length4.0871122
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 575
68.6%
폐업 256
30.5%
제외/삭제/전출 4
 
0.5%
휴업 3
 
0.4%

Length

2024-04-30T03:56:00.569510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:56:00.675086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 575
68.6%
폐업 256
30.5%
제외/삭제/전출 4
 
0.5%
휴업 3
 
0.4%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
13
575 
3
256 
2
 
3
15
 
3
99
 
1

Length

Max length2
Median length2
Mean length1.6909308
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row2
2nd row13
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
13 575
68.6%
3 256
30.5%
2 3
 
0.4%
15 3
 
0.4%
99 1
 
0.1%

Length

2024-04-30T03:56:00.779056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:56:00.875726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 575
68.6%
3 256
30.5%
2 3
 
0.4%
15 3
 
0.4%
99 1
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
영업중
575 
폐업
256 
휴업
 
3
전출
 
3
삭제
 
1

Length

Max length3
Median length3
Mean length2.6861575
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 575
68.6%
폐업 256
30.5%
휴업 3
 
0.4%
전출 3
 
0.4%
삭제 1
 
0.1%

Length

2024-04-30T03:56:00.979276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:56:01.071758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 575
68.6%
폐업 256
30.5%
휴업 3
 
0.4%
전출 3
 
0.4%
삭제 1
 
0.1%

폐업일자
Date

MISSING 

Distinct249
Distinct (%)97.3%
Missing582
Missing (%)69.5%
Memory size6.7 KiB
Minimum2008-02-18 00:00:00
Maximum2024-02-09 00:00:00
2024-04-30T03:56:01.186926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:56:01.310607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing832
Missing (%)99.3%
Memory size6.7 KiB
Minimum2009-08-01 00:00:00
Maximum2024-02-02 00:00:00
2024-04-30T03:56:01.395513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:56:01.484081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

휴업종료일자
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing832
Missing (%)99.3%
Memory size6.7 KiB
Minimum2011-06-30 00:00:00
Maximum2024-12-31 00:00:00
2024-04-30T03:56:01.570420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:56:01.653389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing838
Missing (%)100.0%
Memory size7.5 KiB

전화번호
Text

MISSING 

Distinct797
Distinct (%)96.5%
Missing12
Missing (%)1.4%
Memory size6.7 KiB
2024-04-30T03:56:01.877167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.375303
Min length2

Characters and Unicode

Total characters9396
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique770 ?
Unique (%)93.2%

Sample

1st row02-2612-7511
2nd row02-868-3322
3rd row02-2612-1631
4th row02-867-7882
5th row02-2612-3474
ValueCountFrequency (%)
02-3666-2828 3
 
0.4%
2685-2875 3
 
0.4%
02-2633-2804 2
 
0.2%
02-2611-1075 2
 
0.2%
02-852-2828 2
 
0.2%
02-830-8388 2
 
0.2%
02-838-9225 2
 
0.2%
02-2619-1075 2
 
0.2%
02-2612-2314 2
 
0.2%
2612-7766 2
 
0.2%
Other values (787) 804
97.3%
2024-04-30T03:56:02.221793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1766
18.8%
- 1562
16.6%
0 1312
14.0%
8 940
10.0%
6 891
9.5%
5 726
7.7%
7 630
 
6.7%
1 552
 
5.9%
3 449
 
4.8%
9 305
 
3.2%
Other values (3) 263
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7823
83.3%
Dash Punctuation 1562
 
16.6%
Close Punctuation 10
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1766
22.6%
0 1312
16.8%
8 940
12.0%
6 891
11.4%
5 726
9.3%
7 630
 
8.1%
1 552
 
7.1%
3 449
 
5.7%
9 305
 
3.9%
4 252
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 1562
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9396
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1766
18.8%
- 1562
16.6%
0 1312
14.0%
8 940
10.0%
6 891
9.5%
5 726
7.7%
7 630
 
6.7%
1 552
 
5.9%
3 449
 
4.8%
9 305
 
3.2%
Other values (3) 263
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1766
18.8%
- 1562
16.6%
0 1312
14.0%
8 940
10.0%
6 891
9.5%
5 726
7.7%
7 630
 
6.7%
1 552
 
5.9%
3 449
 
4.8%
9 305
 
3.2%
Other values (3) 263
 
2.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing838
Missing (%)100.0%
Memory size7.5 KiB

소재지우편번호
Text

MISSING 

Distinct90
Distinct (%)45.9%
Missing642
Missing (%)76.6%
Memory size6.7 KiB
2024-04-30T03:56:02.473253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0306122
Min length6

Characters and Unicode

Total characters1182
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)19.4%

Sample

1st row152824
2nd row152872
3rd row152855
4th row152872
5th row152092
ValueCountFrequency (%)
152880 8
 
4.1%
152855 7
 
3.6%
152893 6
 
3.1%
152887 6
 
3.1%
152826 6
 
3.1%
152883 5
 
2.6%
152838 5
 
2.6%
152872 5
 
2.6%
152092 4
 
2.0%
152847 4
 
2.0%
Other values (80) 140
71.4%
2024-04-30T03:56:02.824063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 241
20.4%
2 233
19.7%
1 229
19.4%
8 183
15.5%
0 71
 
6.0%
7 71
 
6.0%
3 42
 
3.6%
9 41
 
3.5%
6 35
 
3.0%
4 30
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1176
99.5%
Dash Punctuation 6
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 241
20.5%
2 233
19.8%
1 229
19.5%
8 183
15.6%
0 71
 
6.0%
7 71
 
6.0%
3 42
 
3.6%
9 41
 
3.5%
6 35
 
3.0%
4 30
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1182
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 241
20.4%
2 233
19.7%
1 229
19.4%
8 183
15.5%
0 71
 
6.0%
7 71
 
6.0%
3 42
 
3.6%
9 41
 
3.5%
6 35
 
3.0%
4 30
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1182
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 241
20.4%
2 233
19.7%
1 229
19.4%
8 183
15.5%
0 71
 
6.0%
7 71
 
6.0%
3 42
 
3.6%
9 41
 
3.5%
6 35
 
3.0%
4 30
 
2.5%

지번주소
Text

MISSING 

Distinct596
Distinct (%)79.6%
Missing89
Missing (%)10.6%
Memory size6.7 KiB
2024-04-30T03:56:03.079188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length41
Mean length26.902537
Min length18

Characters and Unicode

Total characters20150
Distinct characters263
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique512 ?
Unique (%)68.4%

Sample

1st row서울특별시 구로구 오류동 37번지 1호 ,3층
2nd row서울특별시 구로구 구로동 808번지 27호
3rd row서울특별시 구로구 구로동 767번지 180호
4th row서울특별시 구로구 고척1동52-214
5th row서울특별시 구로구 구로4동737-6
ValueCountFrequency (%)
구로구 750
18.9%
서울특별시 748
18.8%
구로동 261
 
6.6%
개봉동 94
 
2.4%
오류동 68
 
1.7%
고척동 68
 
1.7%
신도림동 65
 
1.6%
1호 54
 
1.4%
2층 33
 
0.8%
403번지 32
 
0.8%
Other values (759) 1799
45.3%
2024-04-30T03:56:03.455818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3249
 
16.1%
1840
 
9.1%
1096
 
5.4%
1 816
 
4.0%
781
 
3.9%
762
 
3.8%
754
 
3.7%
752
 
3.7%
751
 
3.7%
750
 
3.7%
Other values (253) 8599
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12564
62.4%
Decimal Number 3898
 
19.3%
Space Separator 3249
 
16.1%
Dash Punctuation 184
 
0.9%
Other Punctuation 87
 
0.4%
Uppercase Letter 63
 
0.3%
Open Punctuation 43
 
0.2%
Close Punctuation 42
 
0.2%
Lowercase Letter 10
 
< 0.1%
Math Symbol 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1840
14.6%
1096
 
8.7%
781
 
6.2%
762
 
6.1%
754
 
6.0%
752
 
6.0%
751
 
6.0%
750
 
6.0%
607
 
4.8%
599
 
4.8%
Other values (209) 3872
30.8%
Uppercase Letter
ValueCountFrequency (%)
S 14
22.2%
K 11
17.5%
A 7
11.1%
E 4
 
6.3%
C 3
 
4.8%
R 3
 
4.8%
I 3
 
4.8%
W 2
 
3.2%
O 2
 
3.2%
L 2
 
3.2%
Other values (7) 12
19.0%
Decimal Number
ValueCountFrequency (%)
1 816
20.9%
2 559
14.3%
3 543
13.9%
4 388
10.0%
0 384
9.9%
5 338
8.7%
7 294
 
7.5%
6 223
 
5.7%
8 217
 
5.6%
9 136
 
3.5%
Lowercase Letter
ValueCountFrequency (%)
s 3
30.0%
k 2
20.0%
r 1
 
10.0%
c 1
 
10.0%
e 1
 
10.0%
w 1
 
10.0%
o 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 85
97.7%
@ 1
 
1.1%
. 1
 
1.1%
Math Symbol
ValueCountFrequency (%)
~ 8
88.9%
1
 
11.1%
Space Separator
ValueCountFrequency (%)
3249
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 184
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12564
62.4%
Common 7512
37.3%
Latin 74
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1840
14.6%
1096
 
8.7%
781
 
6.2%
762
 
6.1%
754
 
6.0%
752
 
6.0%
751
 
6.0%
750
 
6.0%
607
 
4.8%
599
 
4.8%
Other values (209) 3872
30.8%
Latin
ValueCountFrequency (%)
S 14
18.9%
K 11
14.9%
A 7
 
9.5%
E 4
 
5.4%
C 3
 
4.1%
R 3
 
4.1%
I 3
 
4.1%
s 3
 
4.1%
W 2
 
2.7%
O 2
 
2.7%
Other values (15) 22
29.7%
Common
ValueCountFrequency (%)
3249
43.3%
1 816
 
10.9%
2 559
 
7.4%
3 543
 
7.2%
4 388
 
5.2%
0 384
 
5.1%
5 338
 
4.5%
7 294
 
3.9%
6 223
 
3.0%
8 217
 
2.9%
Other values (9) 501
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12564
62.4%
ASCII 7584
37.6%
Number Forms 1
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3249
42.8%
1 816
 
10.8%
2 559
 
7.4%
3 543
 
7.2%
4 388
 
5.1%
0 384
 
5.1%
5 338
 
4.5%
7 294
 
3.9%
6 223
 
2.9%
8 217
 
2.9%
Other values (32) 573
 
7.6%
Hangul
ValueCountFrequency (%)
1840
14.6%
1096
 
8.7%
781
 
6.2%
762
 
6.1%
754
 
6.0%
752
 
6.0%
751
 
6.0%
750
 
6.0%
607
 
4.8%
599
 
4.8%
Other values (209) 3872
30.8%
Number Forms
ValueCountFrequency (%)
1
100.0%
Math Operators
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

MISSING 

Distinct680
Distinct (%)92.8%
Missing105
Missing (%)12.5%
Memory size6.7 KiB
2024-04-30T03:56:03.738007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length49
Mean length33.042292
Min length21

Characters and Unicode

Total characters24220
Distinct characters267
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

Unique638 ?
Unique (%)87.0%

Sample

1st row서울특별시 구로구 경인로 211, 3층 (오류동)
2nd row서울특별시 구로구 구로동로 77-1 (구로동)
3rd row서울특별시 구로구 도림로 55 (구로동)
4th row서울특별시 구로구 개봉로 26 (개봉동)
5th row서울특별시 구로구 구로중앙로 14 (구로동)
ValueCountFrequency (%)
서울특별시 732
 
15.6%
구로구 732
 
15.6%
구로동 303
 
6.5%
2층 137
 
2.9%
개봉동 115
 
2.4%
경인로 110
 
2.3%
고척동 85
 
1.8%
오류동 76
 
1.6%
신도림동 70
 
1.5%
구로동로 57
 
1.2%
Other values (723) 2279
48.5%
2024-04-30T03:56:04.175940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3963
 
16.4%
1947
 
8.0%
1937
 
8.0%
871
 
3.6%
, 805
 
3.3%
764
 
3.2%
750
 
3.1%
2 741
 
3.1%
) 735
 
3.0%
( 735
 
3.0%
Other values (257) 10972
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14089
58.2%
Space Separator 3963
 
16.4%
Decimal Number 3731
 
15.4%
Other Punctuation 807
 
3.3%
Close Punctuation 735
 
3.0%
Open Punctuation 735
 
3.0%
Uppercase Letter 79
 
0.3%
Dash Punctuation 66
 
0.3%
Math Symbol 11
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1947
 
13.8%
1937
 
13.7%
871
 
6.2%
764
 
5.4%
750
 
5.3%
734
 
5.2%
733
 
5.2%
732
 
5.2%
357
 
2.5%
261
 
1.9%
Other values (219) 5003
35.5%
Uppercase Letter
ValueCountFrequency (%)
B 14
17.7%
S 14
17.7%
K 10
12.7%
D 5
 
6.3%
M 5
 
6.3%
C 4
 
5.1%
E 4
 
5.1%
I 4
 
5.1%
T 3
 
3.8%
R 3
 
3.8%
Other values (7) 13
16.5%
Decimal Number
ValueCountFrequency (%)
2 741
19.9%
1 670
18.0%
3 492
13.2%
0 404
10.8%
4 318
8.5%
6 297
8.0%
7 232
 
6.2%
5 228
 
6.1%
8 182
 
4.9%
9 167
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
w 1
25.0%
r 1
25.0%
o 1
25.0%
e 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 805
99.8%
/ 2
 
0.2%
Space Separator
ValueCountFrequency (%)
3963
100.0%
Close Punctuation
ValueCountFrequency (%)
) 735
100.0%
Open Punctuation
ValueCountFrequency (%)
( 735
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14089
58.2%
Common 10048
41.5%
Latin 83
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1947
 
13.8%
1937
 
13.7%
871
 
6.2%
764
 
5.4%
750
 
5.3%
734
 
5.2%
733
 
5.2%
732
 
5.2%
357
 
2.5%
261
 
1.9%
Other values (219) 5003
35.5%
Latin
ValueCountFrequency (%)
B 14
16.9%
S 14
16.9%
K 10
12.0%
D 5
 
6.0%
M 5
 
6.0%
C 4
 
4.8%
E 4
 
4.8%
I 4
 
4.8%
T 3
 
3.6%
R 3
 
3.6%
Other values (11) 17
20.5%
Common
ValueCountFrequency (%)
3963
39.4%
, 805
 
8.0%
2 741
 
7.4%
) 735
 
7.3%
( 735
 
7.3%
1 670
 
6.7%
3 492
 
4.9%
0 404
 
4.0%
4 318
 
3.2%
6 297
 
3.0%
Other values (7) 888
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14089
58.2%
ASCII 10131
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3963
39.1%
, 805
 
7.9%
2 741
 
7.3%
) 735
 
7.3%
( 735
 
7.3%
1 670
 
6.6%
3 492
 
4.9%
0 404
 
4.0%
4 318
 
3.1%
6 297
 
2.9%
Other values (28) 971
 
9.6%
Hangul
ValueCountFrequency (%)
1947
 
13.8%
1937
 
13.7%
871
 
6.2%
764
 
5.4%
750
 
5.3%
734
 
5.2%
733
 
5.2%
732
 
5.2%
357
 
2.5%
261
 
1.9%
Other values (219) 5003
35.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct146
Distinct (%)20.7%
Missing134
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean13636.48
Minimum8202
Maximum152905
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-04-30T03:56:04.285511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8202
5-th percentile8208
Q18246.75
median8304.5
Q38343
95-th percentile8392
Maximum152905
Range144703
Interquartile range (IQR)96.25

Descriptive statistics

Standard deviation27263.201
Coefficient of variation (CV)1.9992844
Kurtosis22.279795
Mean13636.48
Median Absolute Deviation (MAD)47.5
Skewness4.9209054
Sum9600082
Variance7.4328215 × 108
MonotonicityNot monotonic
2024-04-30T03:56:04.407421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8208 36
 
4.3%
8271 20
 
2.4%
8391 19
 
2.3%
8235 19
 
2.3%
8311 18
 
2.1%
8312 16
 
1.9%
8313 16
 
1.9%
8328 15
 
1.8%
8268 15
 
1.8%
8301 14
 
1.7%
Other values (136) 516
61.6%
(Missing) 134
 
16.0%
ValueCountFrequency (%)
8202 4
 
0.5%
8205 2
 
0.2%
8206 3
 
0.4%
8207 5
 
0.6%
8208 36
4.3%
8209 3
 
0.4%
8210 10
 
1.2%
8211 3
 
0.4%
8212 5
 
0.6%
8213 6
 
0.7%
ValueCountFrequency (%)
152905 1
 
0.1%
152893 1
 
0.1%
152883 1
 
0.1%
152880 1
 
0.1%
152876 1
 
0.1%
152858 1
 
0.1%
152855 4
0.5%
152826 3
0.4%
152816 1
 
0.1%
152783 1
 
0.1%
Distinct816
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2024-04-30T03:56:04.793669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length7.3699284
Min length3

Characters and Unicode

Total characters6176
Distinct characters370
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

Unique795 ?
Unique (%)94.9%

Sample

1st row유일한의원
2nd row남궁한의원
3rd row장의원
4th row경북한의원
5th row박소아과의원
ValueCountFrequency (%)
본한의원 3
 
0.4%
평강한의원 2
 
0.2%
구로디지털점 2
 
0.2%
조은성모안과의원 2
 
0.2%
연세정신건강의학과의원 2
 
0.2%
궁동의원 2
 
0.2%
스마일치과의원 2
 
0.2%
지앤산부인과의원 2
 
0.2%
늘푸른치과의원 2
 
0.2%
윤치과의원 2
 
0.2%
Other values (814) 827
97.5%
2024-04-30T03:56:05.137265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
898
 
14.5%
843
 
13.6%
532
 
8.6%
242
 
3.9%
212
 
3.4%
111
 
1.8%
91
 
1.5%
81
 
1.3%
77
 
1.2%
77
 
1.2%
Other values (360) 3012
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6084
98.5%
Uppercase Letter 25
 
0.4%
Decimal Number 24
 
0.4%
Open Punctuation 11
 
0.2%
Close Punctuation 11
 
0.2%
Space Separator 10
 
0.2%
Lowercase Letter 6
 
0.1%
Dash Punctuation 3
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
898
 
14.8%
843
 
13.9%
532
 
8.7%
242
 
4.0%
212
 
3.5%
111
 
1.8%
91
 
1.5%
81
 
1.3%
77
 
1.3%
77
 
1.3%
Other values (333) 2920
48.0%
Uppercase Letter
ValueCountFrequency (%)
S 4
16.0%
K 3
12.0%
A 3
12.0%
M 3
12.0%
N 2
8.0%
D 2
8.0%
R 1
 
4.0%
Y 1
 
4.0%
B 1
 
4.0%
T 1
 
4.0%
Other values (4) 4
16.0%
Decimal Number
ValueCountFrequency (%)
3 5
20.8%
6 5
20.8%
5 5
20.8%
0 4
16.7%
8 2
 
8.3%
1 2
 
8.3%
2 1
 
4.2%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6084
98.5%
Common 61
 
1.0%
Latin 31
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
898
 
14.8%
843
 
13.9%
532
 
8.7%
242
 
4.0%
212
 
3.5%
111
 
1.8%
91
 
1.5%
81
 
1.3%
77
 
1.3%
77
 
1.3%
Other values (333) 2920
48.0%
Latin
ValueCountFrequency (%)
e 6
19.4%
S 4
12.9%
K 3
9.7%
A 3
9.7%
M 3
9.7%
N 2
 
6.5%
D 2
 
6.5%
R 1
 
3.2%
Y 1
 
3.2%
B 1
 
3.2%
Other values (5) 5
16.1%
Common
ValueCountFrequency (%)
( 11
18.0%
) 11
18.0%
10
16.4%
3 5
8.2%
6 5
8.2%
5 5
8.2%
0 4
 
6.6%
- 3
 
4.9%
8 2
 
3.3%
1 2
 
3.3%
Other values (2) 3
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6084
98.5%
ASCII 92
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
898
 
14.8%
843
 
13.9%
532
 
8.7%
242
 
4.0%
212
 
3.5%
111
 
1.8%
91
 
1.5%
81
 
1.3%
77
 
1.3%
77
 
1.3%
Other values (333) 2920
48.0%
ASCII
ValueCountFrequency (%)
( 11
 
12.0%
) 11
 
12.0%
10
 
10.9%
e 6
 
6.5%
3 5
 
5.4%
6 5
 
5.4%
5 5
 
5.4%
0 4
 
4.3%
S 4
 
4.3%
- 3
 
3.3%
Other values (17) 28
30.4%
Distinct824
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
Minimum2008-07-31 13:47:43
Maximum2024-04-25 22:43:18
2024-04-30T03:56:05.256521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:56:05.379462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
U
518 
I
320 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 518
61.8%
I 320
38.2%

Length

2024-04-30T03:56:05.503356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:56:05.581352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 518
61.8%
i 320
38.2%
Distinct332
Distinct (%)39.6%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-04-30T03:56:05.672301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:56:05.791511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
의원
433 
치과의원
232 
한의원
169 
보건지소
 
2
보건소
 
1

Length

Max length4
Median length2
Mean length2.7625298
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
의원 433
51.7%
치과의원 232
27.7%
한의원 169
 
20.2%
보건지소 2
 
0.2%
보건소 1
 
0.1%
조산원 1
 
0.1%

Length

2024-04-30T03:56:05.909025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:56:06.004924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 433
51.7%
치과의원 232
27.7%
한의원 169
 
20.2%
보건지소 2
 
0.2%
보건소 1
 
0.1%
조산원 1
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct370
Distinct (%)51.3%
Missing117
Missing (%)14.0%
Infinite0
Infinite (%)0.0%
Mean188575.8
Minimum184019.61
Maximum220123.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-04-30T03:56:06.113161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184019.61
5-th percentile185694.41
Q1187165.94
median189416.04
Q3190107.81
95-th percentile190850.39
Maximum220123.81
Range36104.202
Interquartile range (IQR)2941.8647

Descriptive statistics

Standard deviation2201.1512
Coefficient of variation (CV)0.011672501
Kurtosis57.118681
Mean188575.8
Median Absolute Deviation (MAD)1406.8101
Skewness3.7824955
Sum1.3596315 × 108
Variance4845066.8
MonotonicityNot monotonic
2024-04-30T03:56:06.247394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190005.132500398 20
 
2.4%
190156.399992266 13
 
1.6%
190099.217394597 11
 
1.3%
187397.345239796 10
 
1.2%
191061.147248344 8
 
1.0%
189556.142460589 7
 
0.8%
186007.312716503 7
 
0.8%
189618.752905327 7
 
0.8%
190290.581159612 6
 
0.7%
189682.799434964 6
 
0.7%
Other values (360) 626
74.7%
(Missing) 117
 
14.0%
ValueCountFrequency (%)
184019.610971952 1
 
0.1%
184083.999645648 3
0.4%
184189.475973193 1
 
0.1%
184272.859477603 3
0.4%
184307.007990801 3
0.4%
184320.728034189 1
 
0.1%
184375.355908658 1
 
0.1%
184378.992132621 1
 
0.1%
184394.439329436 2
0.2%
184452.82551654 1
 
0.1%
ValueCountFrequency (%)
220123.812831349 1
 
0.1%
191280.657696914 2
 
0.2%
191250.050385034 1
 
0.1%
191239.693382941 2
 
0.2%
191191.935645894 2
 
0.2%
191187.50683561 4
0.5%
191173.834097241 1
 
0.1%
191126.922861445 6
0.7%
191061.147248344 8
1.0%
191020.264430044 3
 
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct371
Distinct (%)51.5%
Missing117
Missing (%)14.0%
Infinite0
Infinite (%)0.0%
Mean443628.45
Minimum432363.92
Maximum445458.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-04-30T03:56:06.361982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum432363.92
5-th percentile442287.43
Q1443069.74
median443592.14
Q3444363.18
95-th percentile445250.54
Maximum445458.34
Range13094.413
Interquartile range (IQR)1293.4451

Descriptive statistics

Standard deviation973.36865
Coefficient of variation (CV)0.0021941078
Kurtosis23.605537
Mean443628.45
Median Absolute Deviation (MAD)616.01531
Skewness-1.9824697
Sum3.1985611 × 108
Variance947446.53
MonotonicityNot monotonic
2024-04-30T03:56:06.498987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445250.538868558 20
 
2.4%
445369.517787461 13
 
1.6%
443743.18319767 11
 
1.3%
443554.300802564 10
 
1.2%
442377.125416975 8
 
1.0%
443745.761118258 7
 
0.8%
444921.078748984 7
 
0.8%
444208.154113814 7
 
0.8%
443371.570967758 6
 
0.7%
443936.217551483 6
 
0.7%
Other values (361) 626
74.7%
(Missing) 117
 
14.0%
ValueCountFrequency (%)
432363.923160917 1
 
0.1%
441855.148207011 1
 
0.1%
441922.711345248 1
 
0.1%
441936.789035128 1
 
0.1%
441961.372806 1
 
0.1%
441965.79198493 3
0.4%
441973.603139541 1
 
0.1%
441975.356924364 3
0.4%
442003.988499818 1
 
0.1%
442039.744990308 1
 
0.1%
ValueCountFrequency (%)
445458.335742134 5
 
0.6%
445369.517787461 13
1.6%
445262.493847028 1
 
0.1%
445250.538868558 20
2.4%
445157.626366229 3
 
0.4%
445153.61016346 5
 
0.6%
445096.729031424 2
 
0.2%
445078.000037452 1
 
0.1%
445072.461079203 3
 
0.4%
445024.393051568 1
 
0.1%
Distinct7
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
<NA>
325 
의원
270 
치과의원
154 
한의원
85 
보건지소
 
2
Other values (2)
 
2

Length

Max length4
Median length4
Mean length3.25179
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 325
38.8%
의원 270
32.2%
치과의원 154
18.4%
한의원 85
 
10.1%
보건지소 2
 
0.2%
보건소 1
 
0.1%
조산원 1
 
0.1%

Length

2024-04-30T03:56:06.630820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:56:06.733231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 325
38.8%
의원 270
32.2%
치과의원 154
18.4%
한의원 85
 
10.1%
보건지소 2
 
0.2%
보건소 1
 
0.1%
조산원 1
 
0.1%

의료인수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)1.2%
Missing325
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean1.1617934
Minimum0
Maximum7
Zeros3
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-04-30T03:56:06.827147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.51457497
Coefficient of variation (CV)0.44291436
Kurtosis39.033555
Mean1.1617934
Median Absolute Deviation (MAD)0
Skewness4.8787736
Sum596
Variance0.2647874
MonotonicityNot monotonic
2024-04-30T03:56:06.906697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 440
52.5%
2 62
 
7.4%
4 4
 
0.5%
3 3
 
0.4%
0 3
 
0.4%
7 1
 
0.1%
(Missing) 325
38.8%
ValueCountFrequency (%)
0 3
 
0.4%
1 440
52.5%
2 62
 
7.4%
3 3
 
0.4%
4 4
 
0.5%
7 1
 
0.1%
ValueCountFrequency (%)
7 1
 
0.1%
4 4
 
0.5%
3 3
 
0.4%
2 62
 
7.4%
1 440
52.5%
0 3
 
0.4%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)2.5%
Missing325
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean0.23586745
Minimum0
Maximum15
Zeros484
Zeros (%)57.8%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-04-30T03:56:06.994840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3349714
Coefficient of variation (CV)5.6598372
Kurtosis59.135582
Mean0.23586745
Median Absolute Deviation (MAD)0
Skewness7.2910071
Sum121
Variance1.7821485
MonotonicityNot monotonic
2024-04-30T03:56:07.079294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 484
57.8%
1 12
 
1.4%
2 3
 
0.4%
4 3
 
0.4%
6 2
 
0.2%
10 2
 
0.2%
5 1
 
0.1%
8 1
 
0.1%
12 1
 
0.1%
15 1
 
0.1%
Other values (3) 3
 
0.4%
(Missing) 325
38.8%
ValueCountFrequency (%)
0 484
57.8%
1 12
 
1.4%
2 3
 
0.4%
3 1
 
0.1%
4 3
 
0.4%
5 1
 
0.1%
6 2
 
0.2%
7 1
 
0.1%
8 1
 
0.1%
9 1
 
0.1%
ValueCountFrequency (%)
15 1
 
0.1%
12 1
 
0.1%
10 2
0.2%
9 1
 
0.1%
8 1
 
0.1%
7 1
 
0.1%
6 2
0.2%
5 1
 
0.1%
4 3
0.4%
3 1
 
0.1%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)3.5%
Missing325
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean0.66081871
Minimum0
Maximum29
Zeros474
Zeros (%)56.6%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-04-30T03:56:07.177858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum29
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.3995009
Coefficient of variation (CV)5.1443775
Kurtosis40.740104
Mean0.66081871
Median Absolute Deviation (MAD)0
Skewness6.2534694
Sum339
Variance11.556606
MonotonicityNot monotonic
2024-04-30T03:56:07.264099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 474
56.6%
1 9
 
1.1%
2 7
 
0.8%
4 3
 
0.4%
24 2
 
0.2%
9 2
 
0.2%
29 2
 
0.2%
3 2
 
0.2%
19 2
 
0.2%
6 2
 
0.2%
Other values (8) 8
 
1.0%
(Missing) 325
38.8%
ValueCountFrequency (%)
0 474
56.6%
1 9
 
1.1%
2 7
 
0.8%
3 2
 
0.2%
4 3
 
0.4%
5 1
 
0.1%
6 2
 
0.2%
9 2
 
0.2%
10 1
 
0.1%
11 1
 
0.1%
ValueCountFrequency (%)
29 2
0.2%
25 1
0.1%
24 2
0.2%
22 1
0.1%
21 1
0.1%
19 2
0.2%
16 1
0.1%
14 1
0.1%
11 1
0.1%
10 1
0.1%

총면적
Real number (ℝ)

MISSING 

Distinct445
Distinct (%)86.7%
Missing325
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean143.97651
Minimum15.58
Maximum1111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-04-30T03:56:07.376936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.58
5-th percentile50.21
Q183.57
median114.9
Q3158.21
95-th percentile348.244
Maximum1111
Range1095.42
Interquartile range (IQR)74.64

Descriptive statistics

Standard deviation113.84706
Coefficient of variation (CV)0.79073356
Kurtosis22.193039
Mean143.97651
Median Absolute Deviation (MAD)34.66
Skewness3.8538937
Sum73859.95
Variance12961.153
MonotonicityNot monotonic
2024-04-30T03:56:07.512368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.21 15
 
1.8%
137.0 3
 
0.4%
128.0 3
 
0.4%
132.0 3
 
0.4%
107.1 3
 
0.4%
139.0 3
 
0.4%
122.01 3
 
0.4%
146.0 3
 
0.4%
107.8 2
 
0.2%
273.0 2
 
0.2%
Other values (435) 473
56.4%
(Missing) 325
38.8%
ValueCountFrequency (%)
15.58 1
0.1%
22.0 1
0.1%
35.75 1
0.1%
38.74 1
0.1%
39.51 1
0.1%
40.3 2
0.2%
42.14 1
0.1%
42.83 1
0.1%
43.9 1
0.1%
46.98 1
0.1%
ValueCountFrequency (%)
1111.0 1
0.1%
1023.45 1
0.1%
890.78 1
0.1%
648.45 1
0.1%
628.57 1
0.1%
566.27 1
0.1%
564.56 1
0.1%
535.5 1
0.1%
523.8 1
0.1%
498.0 1
0.1%

진료과목내용
Text

MISSING 

Distinct236
Distinct (%)46.2%
Missing327
Missing (%)39.0%
Memory size6.7 KiB
2024-04-30T03:56:07.694384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length51
Mean length18.632094
Min length3

Characters and Unicode

Total characters9521
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

Unique191 ?
Unique (%)37.4%

Sample

1st row301
2nd row101
3rd row301
4th row111
5th row411
ValueCountFrequency (%)
101 159
 
6.3%
114 145
 
5.8%
111 137
 
5.5%
113 115
 
4.6%
411 102
 
4.1%
301 85
 
3.4%
407 74
 
3.0%
405 73
 
2.9%
402 73
 
2.9%
408 72
 
2.9%
Other values (44) 1473
58.7%
2024-04-30T03:56:07.984860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2392
25.1%
1997
21.0%
0 1789
18.8%
4 1144
12.0%
3 727
 
7.6%
2 564
 
5.9%
5 284
 
3.0%
8 187
 
2.0%
6 178
 
1.9%
7 143
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7524
79.0%
Space Separator 1997
 
21.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2392
31.8%
0 1789
23.8%
4 1144
15.2%
3 727
 
9.7%
2 564
 
7.5%
5 284
 
3.8%
8 187
 
2.5%
6 178
 
2.4%
7 143
 
1.9%
9 116
 
1.5%
Space Separator
ValueCountFrequency (%)
1997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9521
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2392
25.1%
1997
21.0%
0 1789
18.8%
4 1144
12.0%
3 727
 
7.6%
2 564
 
5.9%
5 284
 
3.0%
8 187
 
2.0%
6 178
 
1.9%
7 143
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9521
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2392
25.1%
1997
21.0%
0 1789
18.8%
4 1144
12.0%
3 727
 
7.6%
2 564
 
5.9%
5 284
 
3.0%
8 187
 
2.0%
6 178
 
1.9%
7 143
 
1.5%

진료과목내용명
Text

MISSING 

Distinct176
Distinct (%)34.4%
Missing327
Missing (%)39.0%
Memory size6.7 KiB
2024-04-30T03:56:08.169824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length141
Median length70
Mean length30.500978
Min length2

Characters and Unicode

Total characters15586
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

Unique126 ?
Unique (%)24.7%

Sample

1st row한방내과
2nd row내과
3rd row한방내과
4th row소아청소년과
5th row예방치과
ValueCountFrequency (%)
내과 159
 
6.3%
피부과 145
 
5.8%
예방치과 138
 
5.5%
소아청소년과 137
 
5.5%
이비인후과 115
 
4.6%
치과보존과 92
 
3.7%
구강악안면외과 91
 
3.6%
치주과 90
 
3.6%
치과보철과 90
 
3.6%
소아치과 90
 
3.6%
Other values (35) 1361
54.3%
2024-04-30T03:56:08.495098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2777
17.8%
, 1997
 
12.8%
1997
 
12.8%
719
 
4.6%
510
 
3.3%
417
 
2.7%
353
 
2.3%
348
 
2.2%
348
 
2.2%
338
 
2.2%
Other values (55) 5782
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11488
73.7%
Other Punctuation 2101
 
13.5%
Space Separator 1997
 
12.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2777
24.2%
719
 
6.3%
510
 
4.4%
417
 
3.6%
353
 
3.1%
348
 
3.0%
348
 
3.0%
338
 
2.9%
334
 
2.9%
301
 
2.6%
Other values (52) 5043
43.9%
Other Punctuation
ValueCountFrequency (%)
, 1997
95.0%
? 104
 
5.0%
Space Separator
ValueCountFrequency (%)
1997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11488
73.7%
Common 4098
 
26.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2777
24.2%
719
 
6.3%
510
 
4.4%
417
 
3.6%
353
 
3.1%
348
 
3.0%
348
 
3.0%
338
 
2.9%
334
 
2.9%
301
 
2.6%
Other values (52) 5043
43.9%
Common
ValueCountFrequency (%)
, 1997
48.7%
1997
48.7%
? 104
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11488
73.7%
ASCII 4098
 
26.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2777
24.2%
719
 
6.3%
510
 
4.4%
417
 
3.6%
353
 
3.1%
348
 
3.0%
348
 
3.0%
338
 
2.9%
334
 
2.9%
301
 
2.6%
Other values (52) 5043
43.9%
ASCII
ValueCountFrequency (%)
, 1997
48.7%
1997
48.7%
? 104
 
2.5%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing838
Missing (%)100.0%
Memory size7.5 KiB

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing838
Missing (%)100.0%
Memory size7.5 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing838
Missing (%)100.0%
Memory size7.5 KiB

구급차특수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
0
513 
<NA>
325 

Length

Max length4
Median length1
Mean length2.1634845
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 513
61.2%
<NA> 325
38.8%

Length

2024-04-30T03:56:08.624743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:56:08.712474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 513
61.2%
na 325
38.8%

구급차일반
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
0
513 
<NA>
325 

Length

Max length4
Median length1
Mean length2.1634845
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 513
61.2%
<NA> 325
38.8%

Length

2024-04-30T03:56:08.798398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:56:08.890170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 513
61.2%
na 325
38.8%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing838
Missing (%)100.0%
Memory size7.5 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing838
Missing (%)100.0%
Memory size7.5 KiB

허가병상수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
0
513 
<NA>
325 

Length

Max length4
Median length1
Mean length2.1634845
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 513
61.2%
<NA> 325
38.8%

Length

2024-04-30T03:56:08.991004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:56:09.087455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 513
61.2%
na 325
38.8%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing838
Missing (%)100.0%
Memory size7.5 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03160000PHMA11965316003404110000119650830<NA>2휴업2휴업<NA>2019121920201218<NA>02-2612-7511<NA><NA>서울특별시 구로구 오류동 37번지 1호 ,3층서울특별시 구로구 경인로 211, 3층 (오류동)8268유일한의원2022-09-02 10:13:18U2021-12-09 00:04:00.0한의원186150.230132443827.302617<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13160000PHMA11967316003404110000519670811<NA>1영업/정상13영업중<NA><NA><NA><NA>02-868-3322<NA><NA>서울특별시 구로구 구로동 808번지 27호서울특별시 구로구 구로동로 77-1 (구로동)8318남궁한의원2018-07-30 16:48:52I2018-08-31 23:59:59.0한의원189804.485807442625.514177한의원10050.21301한방내과<NA><NA><NA>00<NA><NA>0<NA>
23160000PHMA11970316003404110000819700718<NA>3폐업3폐업20191230<NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 767번지 180호서울특별시 구로구 도림로 55 (구로동)8314장의원2019-12-30 14:47:40U2020-01-01 02:40:00.0의원190198.133435442951.54553의원10050.21101내과<NA><NA><NA>00<NA><NA>0<NA>
33160000PHMA11970316003404119000819700411<NA>3폐업3폐업20110513<NA><NA><NA>02-2612-1631<NA>152824서울특별시 구로구 고척1동52-214<NA><NA>경북한의원2011-05-16 10:14:26I2018-08-31 23:59:59.0한의원<NA><NA>한의원10050.21301한방내과<NA><NA><NA>00<NA><NA>0<NA>
43160000PHMA11972316003404110001519720110<NA>3폐업3폐업20170630<NA><NA><NA>02-867-7882<NA>152872서울특별시 구로구 구로4동737-6<NA><NA>박소아과의원2017-06-30 15:14:07I2018-08-31 23:59:59.0의원<NA><NA>의원10050.21111소아청소년과<NA><NA><NA>00<NA><NA>0<NA>
53160000PHMA11973316003404110000619730912<NA>3폐업3폐업20190228<NA><NA><NA>02-2612-3474<NA><NA>서울특별시 구로구 개봉동 403번지 165호서울특별시 구로구 개봉로 26 (개봉동)8334배남준치과의원2019-02-27 13:20:51U2019-03-01 02:40:00.0치과의원187240.247676442877.262024치과의원10050.21411예방치과<NA><NA><NA>00<NA><NA>0<NA>
63160000PHMA11973316003404110000719731004<NA>3폐업3폐업20211001<NA><NA><NA>02-854-2065<NA><NA>서울특별시 구로구 구로동 142번지 65호서울특별시 구로구 구로중앙로 14 (구로동)8305이재성치과의원2021-09-17 13:10:42U2021-09-19 02:40:00.0치과의원190405.984437443271.756719치과의원100101.51411예방치과<NA><NA><NA>00<NA><NA>0<NA>
73160000PHMA11973316003404110001319731106<NA>3폐업3폐업20190401<NA><NA><NA>02-855-1972<NA><NA>서울특별시 구로구 구로동 800번지 15호서울특별시 구로구 도림로 16 (구로동)8374강창율한의원2019-04-01 16:19:37U2019-04-03 02:40:00.0한의원189967.90029442627.47633한의원10050.21301한방내과<NA><NA><NA>00<NA><NA>0<NA>
83160000PHMA11973316003404110001919730319<NA>3폐업3폐업20080731<NA><NA><NA>02-863-4423<NA>152855서울특별시 구로구 구로본동416-16<NA><NA>남성의원2008-07-31 13:47:43I2018-08-31 23:59:59.0의원<NA><NA>의원10088.57101 104 111 110내과, 외과, 산부인과, 소아청소년과<NA><NA><NA>00<NA><NA>0<NA>
93160000PHMA11973316003404110002219730626<NA>3폐업3폐업20100211<NA><NA><NA>02-854-3181<NA>152872서울특별시 구로구 구로4동736-7<NA><NA>정진안의원2010-02-11 16:41:48I2018-08-31 23:59:59.0의원<NA><NA>의원10040.3101 122내과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
8283160000PHMA1202331600340411000082023-05-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2039-9322<NA><NA>서울특별시 구로구 구로동 1126-1 광희빌딩 5층서울특별시 구로구 시흥대로 551, 광희빌딩 5층 (구로동)8392눈에힘안과의원2023-09-22 01:13:23U2022-12-08 22:04:00.0의원191126.922861442287.430313<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8293160000PHMA1202331600340411000092023-07-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6953-0119<NA><NA>서울특별시 구로구 고척동 253-15 제일빌딩서울특별시 구로구 고척로 140, 제일빌딩 6,7층 (고척동)8235구로바로본365의원2024-04-11 20:43:15U2023-12-03 23:03:00.0의원186626.589867444481.835898<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8303160000PHMA1202331600340411000102023-10-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6952-6875<NA><NA>서울특별시 구로구 개봉동 403-50서울특별시 구로구 개봉로 69, 3층 (개봉동)8337연세우리동네의원2023-10-13 04:13:17I2022-10-30 23:05:00.0의원187165.388338443309.735035<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8313160000PHMA1202331600340411000112023-10-16<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3666-2828<NA><NA>서울특별시 구로구 고척동 351 고척아이파크 B동 202호서울특별시 구로구 경인로43길 49, B동 202호 (고척동, 고척아이파크)8226퍼스트치과의원2023-10-19 21:13:17U2022-10-30 22:01:00.0치과의원187422.915004444002.70458<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8323160000PHMA1202331600340411000122023-10-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-839-5544<NA><NA><NA>서울특별시 구로구 디지털로27가길 17, 오닉스 지식산업센터 201~208호 (구로동)8375서울구로디지털의원2024-04-25 14:56:42U2023-12-03 22:07:00.0의원190405.203443442464.109595<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8333160000PHMA1202331600340411000132023-11-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2060-6001<NA><NA>서울특별시 구로구 개봉동 203-7 KS프리미어빌딩서울특별시 구로구 남부순환로97길 3, KS프리미어빌딩 201호 (개봉동)8328구로항유외과의원2023-11-13 10:49:15I2022-10-31 23:05:00.0의원187397.34524443554.300803<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8343160000PHMA1202331600340411000142023-11-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2614-0911<NA><NA>서울특별시 구로구 고척동 191-1 연세사랑모아여성병원서울특별시 구로구 중앙로 100, 연세사랑모아여성병원 1동 201호 (고척동)8218닥터존의원2023-12-15 02:43:19U2022-11-01 23:07:00.0의원187606.693802444911.925277<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8353160000PHMA1202431600340411000012024-01-03<NA>1영업/정상13영업중<NA><NA><NA><NA>02-532-3423<NA><NA>서울특별시 구로구 오류동 8-4 SC메디칼센터 401호서울특별시 구로구 경인로15길 4, SC메디칼센터 4층 401호 (오류동)8254길치과의원2024-01-26 00:43:19U2023-11-30 22:08:00.0치과의원185779.317832443625.476398<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8363160000PHMA1202431600340411000022024-02-22<NA>1영업/정상13영업중<NA><NA><NA><NA>02-839-7582<NA><NA>서울특별시 구로구 구로동 83-3 대신빌딩 4층서울특별시 구로구 가마산로 246, 대신빌딩 4층 (구로동)8306굿나잇비뇨의학과의원2024-02-29 22:43:15U2023-12-03 00:02:00.0의원190054.653309443617.175939<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8373160000PHMA1202431600340411000032024-03-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-864-7528<NA><NA>서울특별시 구로구 구로동 731-1 기산빅프라자 601호서울특별시 구로구 구로동로26길 8, 기산빅프라자 601호 (구로동)8311서울명치과의원2024-03-13 09:54:40I2023-12-02 23:05:00.0치과의원189736.718757443130.14016<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>