Overview

Dataset statistics

Number of variables41
Number of observations867
Missing cells12543
Missing cells (%)35.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory298.2 KiB
Average record size in memory352.2 B

Variable types

Categorical11
Text8
DateTime4
Unsupported9
Numeric9

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),의료기관종별명,의료인수,입원실수,병상수,총면적,진료과목내용,진료과목내용명,지정취소일자,완화의료지정형태,완화의료담당부서명,구급차특수,구급차일반,총인원,구조사수,허가병상수,최초지정일자
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-16221/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 867 (100.0%) missing valuesMissing
폐업일자 has 538 (62.1%) missing valuesMissing
휴업시작일자 has 858 (99.0%) missing valuesMissing
휴업종료일자 has 858 (99.0%) missing valuesMissing
재개업일자 has 867 (100.0%) missing valuesMissing
전화번호 has 15 (1.7%) missing valuesMissing
소재지면적 has 867 (100.0%) missing valuesMissing
소재지우편번호 has 419 (48.3%) missing valuesMissing
지번주소 has 132 (15.2%) missing valuesMissing
도로명주소 has 21 (2.4%) missing valuesMissing
도로명우편번호 has 77 (8.9%) missing valuesMissing
좌표정보(X) has 53 (6.1%) missing valuesMissing
좌표정보(Y) has 53 (6.1%) missing valuesMissing
의료인수 has 286 (33.0%) missing valuesMissing
입원실수 has 286 (33.0%) missing valuesMissing
병상수 has 286 (33.0%) missing valuesMissing
총면적 has 286 (33.0%) missing valuesMissing
진료과목내용 has 286 (33.0%) missing valuesMissing
진료과목내용명 has 286 (33.0%) missing valuesMissing
지정취소일자 has 867 (100.0%) missing valuesMissing
완화의료지정형태 has 867 (100.0%) missing valuesMissing
완화의료담당부서명 has 867 (100.0%) missing valuesMissing
총인원 has 867 (100.0%) missing valuesMissing
구조사수 has 867 (100.0%) missing valuesMissing
최초지정일자 has 867 (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
입원실수 has 538 (62.1%) zerosZeros
병상수 has 533 (61.5%) zerosZeros
총면적 has 70 (8.1%) zerosZeros

Reproduction

Analysis started2024-05-18 01:38:53.824029
Analysis finished2024-05-18 01:38:56.068435
Duration2.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
3070000
867 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3070000
2nd row3070000
3rd row3070000
4th row3070000
5th row3070000

Common Values

ValueCountFrequency (%)
3070000 867
100.0%

Length

2024-05-18T10:38:56.362719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:38:56.734024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 867
100.0%

관리번호
Text

UNIQUE 

Distinct867
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2024-05-18T10:38:57.286660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters21675
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

Unique867 ?
Unique (%)100.0%

Sample

1st rowPHMA119033070034041100001
2nd rowPHMA119033070034041100002
3rd rowPHMA119033070034041100003
4th rowPHMA119523070034041100001
5th rowPHMA119653070034041100001
ValueCountFrequency (%)
phma119033070034041100001 1
 
0.1%
phma120103070034041100027 1
 
0.1%
phma120103070034041100040 1
 
0.1%
phma120103070034041100017 1
 
0.1%
phma120103070034041100018 1
 
0.1%
phma120103070034041100019 1
 
0.1%
phma120103070034041100020 1
 
0.1%
phma120103070034041100021 1
 
0.1%
phma120103070034041100022 1
 
0.1%
phma120103070034041100023 1
 
0.1%
Other values (857) 857
98.8%
2024-05-18T10:38:58.480777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7623
35.2%
1 3482
16.1%
3 2006
 
9.3%
4 1943
 
9.0%
7 1052
 
4.9%
2 1046
 
4.8%
P 867
 
4.0%
H 867
 
4.0%
M 867
 
4.0%
A 867
 
4.0%
Other values (4) 1055
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18207
84.0%
Uppercase Letter 3468
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7623
41.9%
1 3482
19.1%
3 2006
 
11.0%
4 1943
 
10.7%
7 1052
 
5.8%
2 1046
 
5.7%
9 469
 
2.6%
8 219
 
1.2%
5 196
 
1.1%
6 171
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 867
25.0%
H 867
25.0%
M 867
25.0%
A 867
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18207
84.0%
Latin 3468
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7623
41.9%
1 3482
19.1%
3 2006
 
11.0%
4 1943
 
10.7%
7 1052
 
5.8%
2 1046
 
5.7%
9 469
 
2.6%
8 219
 
1.2%
5 196
 
1.1%
6 171
 
0.9%
Latin
ValueCountFrequency (%)
P 867
25.0%
H 867
25.0%
M 867
25.0%
A 867
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21675
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7623
35.2%
1 3482
16.1%
3 2006
 
9.3%
4 1943
 
9.0%
7 1052
 
4.9%
2 1046
 
4.8%
P 867
 
4.0%
H 867
 
4.0%
M 867
 
4.0%
A 867
 
4.0%
Other values (4) 1055
 
4.9%
Distinct803
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
Minimum1952-01-01 00:00:00
Maximum2024-04-30 00:00:00
2024-05-18T10:38:59.043458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:38:59.502209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing867
Missing (%)100.0%
Memory size7.7 KiB
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
1
536 
3
329 
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 536
61.8%
3 329
37.9%
5 2
 
0.2%

Length

2024-05-18T10:39:00.036353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:39:00.487771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 536
61.8%
3 329
37.9%
5 2
 
0.2%

영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
영업/정상
536 
폐업
329 
제외/삭제/전출
 
2

Length

Max length8
Median length5
Mean length3.8685121
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 536
61.8%
폐업 329
37.9%
제외/삭제/전출 2
 
0.2%

Length

2024-05-18T10:39:01.159021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:39:01.632109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 536
61.8%
폐업 329
37.9%
제외/삭제/전출 2
 
0.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
13
536 
3
329 
15
 
2

Length

Max length2
Median length2
Mean length1.6205306
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 536
61.8%
3 329
37.9%
15 2
 
0.2%

Length

2024-05-18T10:39:02.243955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:39:02.595579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 536
61.8%
3 329
37.9%
15 2
 
0.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
영업중
536 
폐업
329 
전출
 
2

Length

Max length3
Median length3
Mean length2.6182238
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 536
61.8%
폐업 329
37.9%
전출 2
 
0.2%

Length

2024-05-18T10:39:03.145314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:39:03.580722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 536
61.8%
폐업 329
37.9%
전출 2
 
0.2%

폐업일자
Date

MISSING 

Distinct309
Distinct (%)93.9%
Missing538
Missing (%)62.1%
Memory size6.9 KiB
Minimum1983-01-26 00:00:00
Maximum2024-03-31 00:00:00
2024-05-18T10:39:03.926154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:39:04.318952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing858
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean20140750
Minimum20090201
Maximum20200630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.7 KiB
2024-05-18T10:39:04.653284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090201
5-th percentile20094333
Q120100604
median20161024
Q320170701
95-th percentile20192784
Maximum20200630
Range110429
Interquartile range (IQR)70097

Descriptive statistics

Standard deviation42263.342
Coefficient of variation (CV)0.0020983996
Kurtosis-1.9802422
Mean20140750
Median Absolute Deviation (MAD)39606
Skewness0.0039847071
Sum1.8126675 × 108
Variance1.78619 × 109
MonotonicityNot monotonic
2024-05-18T10:39:05.149214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20101015 1
 
0.1%
20100604 1
 
0.1%
20170701 1
 
0.1%
20200630 1
 
0.1%
20181015 1
 
0.1%
20090201 1
 
0.1%
20100531 1
 
0.1%
20161024 1
 
0.1%
20161028 1
 
0.1%
(Missing) 858
99.0%
ValueCountFrequency (%)
20090201 1
0.1%
20100531 1
0.1%
20100604 1
0.1%
20101015 1
0.1%
20161024 1
0.1%
20161028 1
0.1%
20170701 1
0.1%
20181015 1
0.1%
20200630 1
0.1%
ValueCountFrequency (%)
20200630 1
0.1%
20181015 1
0.1%
20170701 1
0.1%
20161028 1
0.1%
20161024 1
0.1%
20101015 1
0.1%
20100604 1
0.1%
20100531 1
0.1%
20090201 1
0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing858
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean20143128
Minimum20090701
Maximum20200929
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.7 KiB
2024-05-18T10:39:05.639972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090701
5-th percentile20094703
Q120100830
median20161109
Q320171225
95-th percentile20196719
Maximum20200929
Range110228
Interquartile range (IQR)70395

Descriptive statistics

Standard deviation42404.713
Coefficient of variation (CV)0.0021051703
Kurtosis-1.9162719
Mean20143128
Median Absolute Deviation (MAD)39820
Skewness0.0073274429
Sum1.8128815 × 108
Variance1.7981597 × 109
MonotonicityNot monotonic
2024-05-18T10:39:06.171508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20111014 1
 
0.1%
20100830 1
 
0.1%
20171225 1
 
0.1%
20200929 1
 
0.1%
20190405 1
 
0.1%
20090701 1
 
0.1%
20100705 1
 
0.1%
20161231 1
 
0.1%
20161109 1
 
0.1%
(Missing) 858
99.0%
ValueCountFrequency (%)
20090701 1
0.1%
20100705 1
0.1%
20100830 1
0.1%
20111014 1
0.1%
20161109 1
0.1%
20161231 1
0.1%
20171225 1
0.1%
20190405 1
0.1%
20200929 1
0.1%
ValueCountFrequency (%)
20200929 1
0.1%
20190405 1
0.1%
20171225 1
0.1%
20161231 1
0.1%
20161109 1
0.1%
20111014 1
0.1%
20100830 1
0.1%
20100705 1
0.1%
20090701 1
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing867
Missing (%)100.0%
Memory size7.7 KiB

전화번호
Text

MISSING 

Distinct812
Distinct (%)95.3%
Missing15
Missing (%)1.7%
Memory size6.9 KiB
2024-05-18T10:39:07.035478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.7159624
Min length8

Characters and Unicode

Total characters8278
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

Unique778 ?
Unique (%)91.3%

Sample

1st row02-914-6589
2nd row747-1888
3rd row929-6500
4th row02-2241-1749
5th row914-3382
ValueCountFrequency (%)
02-953-8875 3
 
0.4%
02-912-0010 3
 
0.4%
917-6093 3
 
0.4%
02-943-2500 3
 
0.4%
02-924-8277 3
 
0.4%
02-922-1275 3
 
0.4%
02-909-1075 2
 
0.2%
02-925-3650 2
 
0.2%
02-763-7337 2
 
0.2%
02-912-3500 2
 
0.2%
Other values (802) 826
96.9%
2024-05-18T10:39:08.289893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1359
16.4%
- 1242
15.0%
9 1078
13.0%
0 1005
12.1%
1 670
8.1%
7 625
7.6%
5 600
7.2%
8 549
6.6%
3 427
 
5.2%
6 366
 
4.4%
Other values (3) 357
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7034
85.0%
Dash Punctuation 1242
 
15.0%
Close Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1359
19.3%
9 1078
15.3%
0 1005
14.3%
1 670
9.5%
7 625
8.9%
5 600
8.5%
8 549
7.8%
3 427
 
6.1%
6 366
 
5.2%
4 355
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 1242
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8278
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1359
16.4%
- 1242
15.0%
9 1078
13.0%
0 1005
12.1%
1 670
8.1%
7 625
7.6%
5 600
7.2%
8 549
6.6%
3 427
 
5.2%
6 366
 
4.4%
Other values (3) 357
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8278
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1359
16.4%
- 1242
15.0%
9 1078
13.0%
0 1005
12.1%
1 670
8.1%
7 625
7.6%
5 600
7.2%
8 549
6.6%
3 427
 
5.2%
6 366
 
4.4%
Other values (3) 357
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing867
Missing (%)100.0%
Memory size7.7 KiB

소재지우편번호
Text

MISSING 

Distinct152
Distinct (%)33.9%
Missing419
Missing (%)48.3%
Memory size6.9 KiB
2024-05-18T10:39:09.115155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1071429
Min length3

Characters and Unicode

Total characters2736
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

Unique61 ?
Unique (%)13.6%

Sample

1st row136-120
2nd row136032
3rd row136051
4th row136865
5th row136045
ValueCountFrequency (%)
136130 18
 
4.0%
136036 13
 
2.9%
136054 11
 
2.5%
136865 11
 
2.5%
136051 10
 
2.2%
136863 10
 
2.2%
136031 10
 
2.2%
136131 9
 
2.0%
136045 9
 
2.0%
136845 9
 
2.0%
Other values (142) 338
75.4%
2024-05-18T10:39:10.587481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 653
23.9%
3 605
22.1%
6 521
19.0%
0 236
 
8.6%
8 231
 
8.4%
5 120
 
4.4%
7 107
 
3.9%
4 98
 
3.6%
2 71
 
2.6%
- 54
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2682
98.0%
Dash Punctuation 54
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 653
24.3%
3 605
22.6%
6 521
19.4%
0 236
 
8.8%
8 231
 
8.6%
5 120
 
4.5%
7 107
 
4.0%
4 98
 
3.7%
2 71
 
2.6%
9 40
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2736
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 653
23.9%
3 605
22.1%
6 521
19.0%
0 236
 
8.6%
8 231
 
8.4%
5 120
 
4.4%
7 107
 
3.9%
4 98
 
3.6%
2 71
 
2.6%
- 54
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2736
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 653
23.9%
3 605
22.1%
6 521
19.0%
0 236
 
8.6%
8 231
 
8.4%
5 120
 
4.4%
7 107
 
3.9%
4 98
 
3.6%
2 71
 
2.6%
- 54
 
2.0%

지번주소
Text

MISSING 

Distinct695
Distinct (%)94.6%
Missing132
Missing (%)15.2%
Memory size6.9 KiB
2024-05-18T10:39:11.339995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length54
Mean length28.302041
Min length7

Characters and Unicode

Total characters20802
Distinct characters244
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

Unique660 ?
Unique (%)89.8%

Sample

1st row서울특별시 성북구 상월곡동 55번지 76호 외5필지 건송빌딩(3층)
2nd row서울특별시 성북구 동소문동2가 16번지 지상3층, 동소문동2가 2번지 지하1층
3rd row서울특별시 성북구 동소문동5가 88번지 지상 1층
4th row서울특별시 성북구 월곡2동 46번지 1호
5th row서울특별시 성북구 정릉동 16-290
ValueCountFrequency (%)
서울특별시 709
 
16.7%
성북구 709
 
16.7%
1호 89
 
2.1%
2층 83
 
2.0%
지상2층 74
 
1.7%
종암동 66
 
1.6%
하월곡동 60
 
1.4%
석관동 57
 
1.3%
정릉동 52
 
1.2%
길음동 50
 
1.2%
Other values (876) 2285
54.0%
2024-05-18T10:39:13.094694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3519
 
16.9%
1 984
 
4.7%
948
 
4.6%
816
 
3.9%
2 796
 
3.8%
749
 
3.6%
730
 
3.5%
718
 
3.5%
713
 
3.4%
712
 
3.4%
Other values (234) 10117
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12506
60.1%
Decimal Number 4369
 
21.0%
Space Separator 3519
 
16.9%
Dash Punctuation 149
 
0.7%
Other Punctuation 136
 
0.7%
Close Punctuation 42
 
0.2%
Open Punctuation 42
 
0.2%
Uppercase Letter 24
 
0.1%
Math Symbol 13
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
948
 
7.6%
816
 
6.5%
749
 
6.0%
730
 
5.8%
718
 
5.7%
713
 
5.7%
712
 
5.7%
709
 
5.7%
709
 
5.7%
709
 
5.7%
Other values (207) 4993
39.9%
Decimal Number
ValueCountFrequency (%)
1 984
22.5%
2 796
18.2%
3 610
14.0%
4 405
9.3%
0 359
 
8.2%
6 295
 
6.8%
5 285
 
6.5%
7 240
 
5.5%
8 220
 
5.0%
9 175
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
B 10
41.7%
A 3
 
12.5%
J 3
 
12.5%
M 2
 
8.3%
T 2
 
8.3%
H 1
 
4.2%
K 1
 
4.2%
S 1
 
4.2%
D 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 135
99.3%
. 1
 
0.7%
Space Separator
ValueCountFrequency (%)
3519
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 149
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12506
60.1%
Common 8270
39.8%
Latin 26
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
948
 
7.6%
816
 
6.5%
749
 
6.0%
730
 
5.8%
718
 
5.7%
713
 
5.7%
712
 
5.7%
709
 
5.7%
709
 
5.7%
709
 
5.7%
Other values (207) 4993
39.9%
Common
ValueCountFrequency (%)
3519
42.6%
1 984
 
11.9%
2 796
 
9.6%
3 610
 
7.4%
4 405
 
4.9%
0 359
 
4.3%
6 295
 
3.6%
5 285
 
3.4%
7 240
 
2.9%
8 220
 
2.7%
Other values (7) 557
 
6.7%
Latin
ValueCountFrequency (%)
B 10
38.5%
A 3
 
11.5%
J 3
 
11.5%
e 2
 
7.7%
M 2
 
7.7%
T 2
 
7.7%
H 1
 
3.8%
K 1
 
3.8%
S 1
 
3.8%
D 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12506
60.1%
ASCII 8296
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3519
42.4%
1 984
 
11.9%
2 796
 
9.6%
3 610
 
7.4%
4 405
 
4.9%
0 359
 
4.3%
6 295
 
3.6%
5 285
 
3.4%
7 240
 
2.9%
8 220
 
2.7%
Other values (17) 583
 
7.0%
Hangul
ValueCountFrequency (%)
948
 
7.6%
816
 
6.5%
749
 
6.0%
730
 
5.8%
718
 
5.7%
713
 
5.7%
712
 
5.7%
709
 
5.7%
709
 
5.7%
709
 
5.7%
Other values (207) 4993
39.9%

도로명주소
Text

MISSING 

Distinct806
Distinct (%)95.3%
Missing21
Missing (%)2.4%
Memory size6.9 KiB
2024-05-18T10:39:13.864106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length58
Mean length32.835697
Min length21

Characters and Unicode

Total characters27779
Distinct characters270
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

Unique770 ?
Unique (%)91.0%

Sample

1st row서울특별시 성북구 장월로1길 47, 3층 (상월곡동, 건송빌딩)
2nd row서울특별시 성북구 동소문로 12, 지상3층 (동소문동2가)
3rd row서울특별시 성북구 보문로40길 48, 지상1층 (동소문동5가)
4th row서울특별시 성북구 화랑로 63 (하월곡동)
5th row서울특별시 성북구 정릉로38다길 34 (정릉동)
ValueCountFrequency (%)
서울특별시 846
 
15.6%
성북구 846
 
15.6%
2층 155
 
2.9%
동소문로 146
 
2.7%
하월곡동 98
 
1.8%
정릉동 94
 
1.7%
길음동 83
 
1.5%
3층 82
 
1.5%
장위동 81
 
1.5%
지상2층 79
 
1.5%
Other values (838) 2901
53.6%
2024-05-18T10:39:15.213508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4567
 
16.4%
1264
 
4.6%
, 1068
 
3.8%
935
 
3.4%
915
 
3.3%
2 859
 
3.1%
859
 
3.1%
857
 
3.1%
) 852
 
3.1%
850
 
3.1%
Other values (260) 14753
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16247
58.5%
Space Separator 4567
 
16.4%
Decimal Number 4084
 
14.7%
Other Punctuation 1071
 
3.9%
Close Punctuation 852
 
3.1%
Open Punctuation 849
 
3.1%
Dash Punctuation 59
 
0.2%
Uppercase Letter 30
 
0.1%
Math Symbol 18
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1264
 
7.8%
935
 
5.8%
915
 
5.6%
859
 
5.3%
857
 
5.3%
850
 
5.2%
849
 
5.2%
846
 
5.2%
846
 
5.2%
846
 
5.2%
Other values (232) 7180
44.2%
Decimal Number
ValueCountFrequency (%)
2 859
21.0%
1 824
20.2%
3 541
13.2%
4 409
10.0%
0 359
8.8%
5 340
 
8.3%
6 209
 
5.1%
7 201
 
4.9%
8 184
 
4.5%
9 158
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
B 14
46.7%
J 4
 
13.3%
R 2
 
6.7%
A 2
 
6.7%
M 2
 
6.7%
T 2
 
6.7%
K 1
 
3.3%
S 1
 
3.3%
D 1
 
3.3%
H 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 1068
99.7%
. 3
 
0.3%
Space Separator
ValueCountFrequency (%)
4567
100.0%
Close Punctuation
ValueCountFrequency (%)
) 852
100.0%
Open Punctuation
ValueCountFrequency (%)
( 849
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%
Math Symbol
ValueCountFrequency (%)
~ 18
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16247
58.5%
Common 11500
41.4%
Latin 32
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1264
 
7.8%
935
 
5.8%
915
 
5.6%
859
 
5.3%
857
 
5.3%
850
 
5.2%
849
 
5.2%
846
 
5.2%
846
 
5.2%
846
 
5.2%
Other values (232) 7180
44.2%
Common
ValueCountFrequency (%)
4567
39.7%
, 1068
 
9.3%
2 859
 
7.5%
) 852
 
7.4%
( 849
 
7.4%
1 824
 
7.2%
3 541
 
4.7%
4 409
 
3.6%
0 359
 
3.1%
5 340
 
3.0%
Other values (7) 832
 
7.2%
Latin
ValueCountFrequency (%)
B 14
43.8%
J 4
 
12.5%
R 2
 
6.2%
A 2
 
6.2%
M 2
 
6.2%
e 2
 
6.2%
T 2
 
6.2%
K 1
 
3.1%
S 1
 
3.1%
D 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16247
58.5%
ASCII 11532
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4567
39.6%
, 1068
 
9.3%
2 859
 
7.4%
) 852
 
7.4%
( 849
 
7.4%
1 824
 
7.1%
3 541
 
4.7%
4 409
 
3.5%
0 359
 
3.1%
5 340
 
2.9%
Other values (18) 864
 
7.5%
Hangul
ValueCountFrequency (%)
1264
 
7.8%
935
 
5.8%
915
 
5.6%
859
 
5.3%
857
 
5.3%
850
 
5.2%
849
 
5.2%
846
 
5.2%
846
 
5.2%
846
 
5.2%
Other values (232) 7180
44.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct159
Distinct (%)20.1%
Missing77
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean14471.505
Minimum2701
Maximum136877
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.7 KiB
2024-05-18T10:39:15.709784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2701
5-th percentile2713.45
Q12746
median2802.5
Q32845
95-th percentile136757
Maximum136877
Range134176
Interquartile range (IQR)99

Descriptive statistics

Standard deviation37786.029
Coefficient of variation (CV)2.6110642
Kurtosis6.5945629
Mean14471.505
Median Absolute Deviation (MAD)50.5
Skewness2.928779
Sum11432489
Variance1.427784 × 109
MonotonicityNot monotonic
2024-05-18T10:39:16.220864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2830 37
 
4.3%
2829 29
 
3.3%
2751 27
 
3.1%
2860 26
 
3.0%
2797 23
 
2.7%
2845 21
 
2.4%
2787 19
 
2.2%
2846 17
 
2.0%
2803 16
 
1.8%
2833 15
 
1.7%
Other values (149) 560
64.6%
(Missing) 77
 
8.9%
ValueCountFrequency (%)
2701 4
 
0.5%
2702 4
 
0.5%
2709 13
1.5%
2710 13
1.5%
2711 5
 
0.6%
2713 1
 
0.1%
2714 2
 
0.2%
2715 2
 
0.2%
2716 1
 
0.1%
2717 10
1.2%
ValueCountFrequency (%)
136877 1
 
0.1%
136872 2
0.2%
136871 1
 
0.1%
136868 1
 
0.1%
136863 3
0.3%
136861 2
0.2%
136860 1
 
0.1%
136859 1
 
0.1%
136858 1
 
0.1%
136850 1
 
0.1%
Distinct830
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2024-05-18T10:39:16.994122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length7.3944637
Min length3

Characters and Unicode

Total characters6411
Distinct characters390
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique797 ?
Unique (%)91.9%

Sample

1st row한림한의원
2nd row경희일침한의원
3rd row소생한의원
4th row성북구보건소
5th row소원의원
ValueCountFrequency (%)
수석한의원 3
 
0.3%
성심당의원한의원 3
 
0.3%
원치과의원 3
 
0.3%
노블레스의원 3
 
0.3%
우리의원 2
 
0.2%
예담한의원 2
 
0.2%
서울치과의원 2
 
0.2%
최의원 2
 
0.2%
성북삼성의원 2
 
0.2%
민들레한의원 2
 
0.2%
Other values (834) 858
97.3%
2024-05-18T10:39:18.137144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
945
 
14.7%
890
 
13.9%
535
 
8.3%
232
 
3.6%
225
 
3.5%
120
 
1.9%
111
 
1.7%
108
 
1.7%
83
 
1.3%
82
 
1.3%
Other values (380) 3080
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6327
98.7%
Decimal Number 28
 
0.4%
Uppercase Letter 20
 
0.3%
Space Separator 15
 
0.2%
Close Punctuation 7
 
0.1%
Open Punctuation 7
 
0.1%
Other Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
945
 
14.9%
890
 
14.1%
535
 
8.5%
232
 
3.7%
225
 
3.6%
120
 
1.9%
111
 
1.8%
108
 
1.7%
83
 
1.3%
82
 
1.3%
Other values (352) 2996
47.4%
Uppercase Letter
ValueCountFrequency (%)
S 3
15.0%
T 2
10.0%
K 2
10.0%
J 2
10.0%
H 2
10.0%
A 1
 
5.0%
M 1
 
5.0%
B 1
 
5.0%
C 1
 
5.0%
U 1
 
5.0%
Other values (4) 4
20.0%
Decimal Number
ValueCountFrequency (%)
5 8
28.6%
6 8
28.6%
3 8
28.6%
1 2
 
7.1%
9 1
 
3.6%
2 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 2
28.6%
. 2
28.6%
& 1
14.3%
: 1
14.3%
? 1
14.3%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6327
98.7%
Common 64
 
1.0%
Latin 20
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
945
 
14.9%
890
 
14.1%
535
 
8.5%
232
 
3.7%
225
 
3.6%
120
 
1.9%
111
 
1.8%
108
 
1.7%
83
 
1.3%
82
 
1.3%
Other values (352) 2996
47.4%
Common
ValueCountFrequency (%)
15
23.4%
5 8
12.5%
6 8
12.5%
3 8
12.5%
) 7
10.9%
( 7
10.9%
, 2
 
3.1%
1 2
 
3.1%
. 2
 
3.1%
9 1
 
1.6%
Other values (4) 4
 
6.2%
Latin
ValueCountFrequency (%)
S 3
15.0%
T 2
10.0%
K 2
10.0%
J 2
10.0%
H 2
10.0%
A 1
 
5.0%
M 1
 
5.0%
B 1
 
5.0%
C 1
 
5.0%
U 1
 
5.0%
Other values (4) 4
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6327
98.7%
ASCII 84
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
945
 
14.9%
890
 
14.1%
535
 
8.5%
232
 
3.7%
225
 
3.6%
120
 
1.9%
111
 
1.8%
108
 
1.7%
83
 
1.3%
82
 
1.3%
Other values (352) 2996
47.4%
ASCII
ValueCountFrequency (%)
15
17.9%
5 8
 
9.5%
6 8
 
9.5%
3 8
 
9.5%
) 7
 
8.3%
( 7
 
8.3%
S 3
 
3.6%
T 2
 
2.4%
, 2
 
2.4%
K 2
 
2.4%
Other values (18) 22
26.2%
Distinct739
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
Minimum2008-12-31 15:37:37
Maximum2024-05-16 21:43:16
2024-05-18T10:39:18.774402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:39:19.249561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
U
543 
I
324 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 543
62.6%
I 324
37.4%

Length

2024-05-18T10:39:19.640286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:39:19.989885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 543
62.6%
i 324
37.4%
Distinct325
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-18T10:39:20.440482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:39:21.056366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
의원
454 
치과의원
224 
한의원
186 
보건지소
 
2
보건소
 
1

Length

Max length4
Median length2
Mean length2.7370242
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
의원 454
52.4%
치과의원 224
25.8%
한의원 186
21.5%
보건지소 2
 
0.2%
보건소 1
 
0.1%

Length

2024-05-18T10:39:21.637263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:39:22.065085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 454
52.4%
치과의원 224
25.8%
한의원 186
21.5%
보건지소 2
 
0.2%
보건소 1
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct464
Distinct (%)57.0%
Missing53
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean202397.15
Minimum199548.54
Maximum205996.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.7 KiB
2024-05-18T10:39:22.818287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199548.54
5-th percentile200568.57
Q1201303.82
median202009.14
Q3203202.07
95-th percentile205190.09
Maximum205996.72
Range6448.1748
Interquartile range (IQR)1898.2486

Descriptive statistics

Standard deviation1485.6516
Coefficient of variation (CV)0.0073402792
Kurtosis-0.67533345
Mean202397.15
Median Absolute Deviation (MAD)954.08449
Skewness0.59071373
Sum1.6475128 × 108
Variance2207160.6
MonotonicityNot monotonic
2024-05-18T10:39:23.550308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200841.726990037 13
 
1.5%
201539.704121976 10
 
1.2%
202959.015709751 9
 
1.0%
201822.472937366 9
 
1.0%
201358.388613986 8
 
0.9%
201297.061240598 8
 
0.9%
203069.087934788 6
 
0.7%
201964.531844396 6
 
0.7%
204958.405518224 6
 
0.7%
202029.981799661 6
 
0.7%
Other values (454) 733
84.5%
(Missing) 53
 
6.1%
ValueCountFrequency (%)
199548.54311469 1
0.1%
199586.316865115 2
0.2%
199897.537566227 1
0.1%
199899.462073472 1
0.1%
199972.889954824 1
0.1%
200013.105915953 1
0.1%
200138.441686471 1
0.1%
200142.840558768 1
0.1%
200185.64871915 1
0.1%
200206.846313891 1
0.1%
ValueCountFrequency (%)
205996.717928956 3
0.3%
205694.106735866 2
0.2%
205688.255889394 2
0.2%
205669.62299598 1
 
0.1%
205645.892205921 3
0.3%
205638.858277791 1
 
0.1%
205627.778115299 1
 
0.1%
205623.293707894 1
 
0.1%
205619.709546648 2
0.2%
205524.492475626 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct464
Distinct (%)57.0%
Missing53
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean455477.68
Minimum452935.22
Maximum457844.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.7 KiB
2024-05-18T10:39:24.088107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452935.22
5-th percentile453790.08
Q1454534.25
median455616.42
Q3456307.97
95-th percentile457072.23
Maximum457844.35
Range4909.1265
Interquartile range (IQR)1773.7239

Descriptive statistics

Standard deviation1054.3494
Coefficient of variation (CV)0.0023148212
Kurtosis-0.93694269
Mean455477.68
Median Absolute Deviation (MAD)885.12357
Skewness-0.16761896
Sum3.7075883 × 108
Variance1111652.7
MonotonicityNot monotonic
2024-05-18T10:39:24.786722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
454721.505180141 12
 
1.4%
454648.748426236 10
 
1.2%
455400.037874011 9
 
1.0%
455120.947352002 9
 
1.0%
454428.857552394 8
 
0.9%
454534.250493585 8
 
0.9%
456567.33684691 6
 
0.7%
455431.268286111 6
 
0.7%
456214.423218233 6
 
0.7%
456443.387226032 6
 
0.7%
Other values (454) 734
84.7%
(Missing) 53
 
6.1%
ValueCountFrequency (%)
452935.221547454 1
 
0.1%
453002.331239751 1
 
0.1%
453044.258471435 2
0.2%
453075.559973991 1
 
0.1%
453309.958292385 1
 
0.1%
453432.985430094 1
 
0.1%
453444.247990795 1
 
0.1%
453465.694044554 1
 
0.1%
453472.452952107 4
0.5%
453479.628175646 1
 
0.1%
ValueCountFrequency (%)
457844.348010616 5
0.6%
457792.876809056 1
 
0.1%
457549.217596192 1
 
0.1%
457522.059157351 1
 
0.1%
457506.37459006 1
 
0.1%
457447.285557695 1
 
0.1%
457438.223359237 1
 
0.1%
457424.675484944 1
 
0.1%
457387.820430259 1
 
0.1%
457360.617372111 4
0.5%
Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
의원
325 
<NA>
286 
치과의원
165 
한의원
90 
보건소
 
1

Length

Max length4
Median length4
Mean length3.1453287
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
의원 325
37.5%
<NA> 286
33.0%
치과의원 165
19.0%
한의원 90
 
10.4%
보건소 1
 
0.1%

Length

2024-05-18T10:39:25.272406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:39:26.022775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 325
37.5%
na 286
33.0%
치과의원 165
19.0%
한의원 90
 
10.4%
보건소 1
 
0.1%

의료인수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)1.4%
Missing286
Missing (%)33.0%
Infinite0
Infinite (%)0.0%
Mean1.2650602
Minimum0
Maximum14
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size7.7 KiB
2024-05-18T10:39:26.437711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.90513928
Coefficient of variation (CV)0.71549105
Kurtosis89.48108
Mean1.2650602
Median Absolute Deviation (MAD)0
Skewness8.0054419
Sum735
Variance0.81927711
MonotonicityNot monotonic
2024-05-18T10:39:26.896478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 476
54.9%
2 82
 
9.5%
3 14
 
1.6%
7 3
 
0.3%
0 2
 
0.2%
4 2
 
0.2%
10 1
 
0.1%
14 1
 
0.1%
(Missing) 286
33.0%
ValueCountFrequency (%)
0 2
 
0.2%
1 476
54.9%
2 82
 
9.5%
3 14
 
1.6%
4 2
 
0.2%
7 3
 
0.3%
10 1
 
0.1%
14 1
 
0.1%
ValueCountFrequency (%)
14 1
 
0.1%
10 1
 
0.1%
7 3
 
0.3%
4 2
 
0.2%
3 14
 
1.6%
2 82
 
9.5%
1 476
54.9%
0 2
 
0.2%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)2.2%
Missing286
Missing (%)33.0%
Infinite0
Infinite (%)0.0%
Mean0.35628227
Minimum0
Maximum12
Zeros538
Zeros (%)62.1%
Negative0
Negative (%)0.0%
Memory size7.7 KiB
2024-05-18T10:39:27.386202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.5675863
Coefficient of variation (CV)4.3998437
Kurtosis24.822821
Mean0.35628227
Median Absolute Deviation (MAD)0
Skewness4.9671218
Sum207
Variance2.4573268
MonotonicityNot monotonic
2024-05-18T10:39:27.908943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 538
62.1%
1 11
 
1.3%
8 8
 
0.9%
2 6
 
0.7%
3 4
 
0.5%
9 4
 
0.5%
6 2
 
0.2%
7 2
 
0.2%
4 2
 
0.2%
11 1
 
0.1%
Other values (3) 3
 
0.3%
(Missing) 286
33.0%
ValueCountFrequency (%)
0 538
62.1%
1 11
 
1.3%
2 6
 
0.7%
3 4
 
0.5%
4 2
 
0.2%
5 1
 
0.1%
6 2
 
0.2%
7 2
 
0.2%
8 8
 
0.9%
9 4
 
0.5%
ValueCountFrequency (%)
12 1
 
0.1%
11 1
 
0.1%
10 1
 
0.1%
9 4
0.5%
8 8
0.9%
7 2
 
0.2%
6 2
 
0.2%
5 1
 
0.1%
4 2
 
0.2%
3 4
0.5%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)3.3%
Missing286
Missing (%)33.0%
Infinite0
Infinite (%)0.0%
Mean1.0137694
Minimum0
Maximum29
Zeros533
Zeros (%)61.5%
Negative0
Negative (%)0.0%
Memory size7.7 KiB
2024-05-18T10:39:28.269224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum29
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.5859399
Coefficient of variation (CV)4.5236521
Kurtosis24.352253
Mean1.0137694
Median Absolute Deviation (MAD)0
Skewness4.9841959
Sum589
Variance21.030845
MonotonicityNot monotonic
2024-05-18T10:39:28.646309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 533
61.5%
1 8
 
0.9%
2 7
 
0.8%
29 6
 
0.7%
4 4
 
0.5%
19 3
 
0.3%
18 3
 
0.3%
3 3
 
0.3%
8 2
 
0.2%
20 2
 
0.2%
Other values (9) 10
 
1.2%
(Missing) 286
33.0%
ValueCountFrequency (%)
0 533
61.5%
1 8
 
0.9%
2 7
 
0.8%
3 3
 
0.3%
4 4
 
0.5%
5 1
 
0.1%
8 2
 
0.2%
9 1
 
0.1%
15 1
 
0.1%
17 1
 
0.1%
ValueCountFrequency (%)
29 6
0.7%
28 1
 
0.1%
27 1
 
0.1%
26 2
 
0.2%
25 1
 
0.1%
23 1
 
0.1%
20 2
 
0.2%
19 3
0.3%
18 3
0.3%
17 1
 
0.1%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct450
Distinct (%)77.5%
Missing286
Missing (%)33.0%
Infinite0
Infinite (%)0.0%
Mean145.10413
Minimum0
Maximum5587
Zeros70
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size7.7 KiB
2024-05-18T10:39:29.033713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q176
median105.3
Q3155.51
95-th percentile432
Maximum5587
Range5587
Interquartile range (IQR)79.51

Descriptive statistics

Standard deviation259.16296
Coefficient of variation (CV)1.7860481
Kurtosis336.31474
Mean145.10413
Median Absolute Deviation (MAD)37.89
Skewness16.287859
Sum84305.5
Variance67165.441
MonotonicityNot monotonic
2024-05-18T10:39:29.417725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 70
 
8.1%
76.0 3
 
0.3%
96.0 3
 
0.3%
432.0 3
 
0.3%
480.0 3
 
0.3%
430.72 3
 
0.3%
102.0 3
 
0.3%
80.0 3
 
0.3%
196.64 3
 
0.3%
155.0 3
 
0.3%
Other values (440) 484
55.8%
(Missing) 286
33.0%
ValueCountFrequency (%)
0.0 70
8.1%
21.3 1
 
0.1%
26.42 1
 
0.1%
27.7 1
 
0.1%
34.0 1
 
0.1%
34.56 1
 
0.1%
38.0 1
 
0.1%
39.87 1
 
0.1%
42.0 1
 
0.1%
42.42 1
 
0.1%
ValueCountFrequency (%)
5587.0 1
0.1%
1079.0 1
0.1%
743.96 1
0.1%
689.97 1
0.1%
646.0 1
0.1%
642.0 1
0.1%
635.63 1
0.1%
625.0 1
0.1%
614.96 1
0.1%
595.0 1
0.1%

진료과목내용
Text

MISSING 

Distinct216
Distinct (%)37.2%
Missing286
Missing (%)33.0%
Memory size6.9 KiB
2024-05-18T10:39:29.841418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length103
Median length83
Mean length20.287435
Min length3

Characters and Unicode

Total characters11787
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

Unique166 ?
Unique (%)28.6%

Sample

1st row308 307 305 304 302 301
2nd row301 302 303 304 305 306 307 308
3rd row601
4th row101
5th row105
ValueCountFrequency (%)
101 234
 
7.6%
114 118
 
3.8%
111 109
 
3.5%
406 93
 
3.0%
403 93
 
3.0%
407 92
 
3.0%
411 91
 
2.9%
405 91
 
2.9%
402 91
 
2.9%
404 89
 
2.9%
Other values (49) 1991
64.4%
2024-05-18T10:39:30.723942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2511
21.3%
0 2437
20.7%
1 2422
20.5%
4 1351
11.5%
3 937
 
7.9%
2 895
 
7.6%
5 340
 
2.9%
6 247
 
2.1%
8 246
 
2.1%
7 213
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9276
78.7%
Space Separator 2511
 
21.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2437
26.3%
1 2422
26.1%
4 1351
14.6%
3 937
 
10.1%
2 895
 
9.6%
5 340
 
3.7%
6 247
 
2.7%
8 246
 
2.7%
7 213
 
2.3%
9 188
 
2.0%
Space Separator
ValueCountFrequency (%)
2511
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11787
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2511
21.3%
0 2437
20.7%
1 2422
20.5%
4 1351
11.5%
3 937
 
7.9%
2 895
 
7.6%
5 340
 
2.9%
6 247
 
2.1%
8 246
 
2.1%
7 213
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11787
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2511
21.3%
0 2437
20.7%
1 2422
20.5%
4 1351
11.5%
3 937
 
7.9%
2 895
 
7.6%
5 340
 
2.9%
6 247
 
2.1%
8 246
 
2.1%
7 213
 
1.8%

진료과목내용명
Text

MISSING 

Distinct162
Distinct (%)27.9%
Missing286
Missing (%)33.0%
Memory size6.9 KiB
2024-05-18T10:39:31.157628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length168
Median length78
Mean length33.685026
Min length2

Characters and Unicode

Total characters19571
Distinct characters70
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)19.4%

Sample

1st row한방내과, 한방부인과, 한방안?이비인후?피부과, 한방신경정신과, 사상체질과, 침구과
2nd row한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과
3rd row보건소
4th row내과
5th row정형외과
ValueCountFrequency (%)
내과 234
 
7.6%
치주과 134
 
4.3%
치과보철과 133
 
4.3%
소아치과 131
 
4.2%
치과보존과 131
 
4.2%
구강악안면외과 131
 
4.2%
예방치과 130
 
4.2%
치과교정과 128
 
4.1%
구강내과 128
 
4.1%
피부과 118
 
3.8%
Other values (39) 1694
54.8%
2024-05-18T10:39:32.144621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3483
17.8%
2511
 
12.8%
, 2511
 
12.8%
945
 
4.8%
649
 
3.3%
492
 
2.5%
471
 
2.4%
447
 
2.3%
442
 
2.3%
441
 
2.3%
Other values (60) 7179
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14397
73.6%
Other Punctuation 2663
 
13.6%
Space Separator 2511
 
12.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3483
24.2%
945
 
6.6%
649
 
4.5%
492
 
3.4%
471
 
3.3%
447
 
3.1%
442
 
3.1%
441
 
3.1%
439
 
3.0%
425
 
3.0%
Other values (57) 6163
42.8%
Other Punctuation
ValueCountFrequency (%)
, 2511
94.3%
? 152
 
5.7%
Space Separator
ValueCountFrequency (%)
2511
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14397
73.6%
Common 5174
 
26.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3483
24.2%
945
 
6.6%
649
 
4.5%
492
 
3.4%
471
 
3.3%
447
 
3.1%
442
 
3.1%
441
 
3.1%
439
 
3.0%
425
 
3.0%
Other values (57) 6163
42.8%
Common
ValueCountFrequency (%)
2511
48.5%
, 2511
48.5%
? 152
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14397
73.6%
ASCII 5174
 
26.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3483
24.2%
945
 
6.6%
649
 
4.5%
492
 
3.4%
471
 
3.3%
447
 
3.1%
442
 
3.1%
441
 
3.1%
439
 
3.0%
425
 
3.0%
Other values (57) 6163
42.8%
ASCII
ValueCountFrequency (%)
2511
48.5%
, 2511
48.5%
? 152
 
2.9%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing867
Missing (%)100.0%
Memory size7.7 KiB

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing867
Missing (%)100.0%
Memory size7.7 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing867
Missing (%)100.0%
Memory size7.7 KiB

구급차특수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
0
581 
<NA>
286 

Length

Max length4
Median length1
Mean length1.9896194
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 581
67.0%
<NA> 286
33.0%

Length

2024-05-18T10:39:32.680495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:39:33.038518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 581
67.0%
na 286
33.0%

구급차일반
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
0
581 
<NA>
286 

Length

Max length4
Median length1
Mean length1.9896194
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 581
67.0%
<NA> 286
33.0%

Length

2024-05-18T10:39:33.408315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:39:33.756852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 581
67.0%
na 286
33.0%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing867
Missing (%)100.0%
Memory size7.7 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing867
Missing (%)100.0%
Memory size7.7 KiB

허가병상수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
0
581 
<NA>
286 

Length

Max length4
Median length1
Mean length1.9896194
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 581
67.0%
<NA> 286
33.0%

Length

2024-05-18T10:39:34.130420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:39:34.485531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 581
67.0%
na 286
33.0%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing867
Missing (%)100.0%
Memory size7.7 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03070000PHMA1190330700340411000012003-01-03<NA>1영업/정상13영업중<NA><NA><NA><NA>02-914-6589<NA>136-120서울특별시 성북구 상월곡동 55번지 76호 외5필지 건송빌딩(3층)서울특별시 성북구 장월로1길 47, 3층 (상월곡동, 건송빌딩)2752한림한의원2023-07-21 14:04:43U2022-12-06 22:03:00.0한의원203973.234187455986.547167<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13070000PHMA11903307003404110000220030108<NA>1영업/정상13영업중<NA><NA><NA><NA>747-1888<NA>136032서울특별시 성북구 동소문동2가 16번지 지상3층, 동소문동2가 2번지 지하1층서울특별시 성북구 동소문로 12, 지상3층 (동소문동2가)2860경희일침한의원2017-09-05 18:39:14I2018-08-31 23:59:59.0한의원200599.789114454059.403216한의원100128.55308 307 305 304 302 301한방내과, 한방부인과, 한방안?이비인후?피부과, 한방신경정신과, 사상체질과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
23070000PHMA11903307003404110000320030120<NA>3폐업3폐업20181007<NA><NA><NA>929-6500<NA>136051서울특별시 성북구 동소문동5가 88번지 지상 1층서울특별시 성북구 보문로40길 48, 지상1층 (동소문동5가)2846소생한의원2018-10-08 11:05:08U2018-10-10 02:35:30.0한의원201361.423238454407.877979한의원10053.96301 302 303 304 305 306 307 308한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
33070000PHMA11952307003404110000119520101<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2241-1749<NA>136865서울특별시 성북구 월곡2동 46번지 1호서울특별시 성북구 화랑로 63 (하월곡동)<NA>성북구보건소2017-09-05 18:39:15I2018-08-31 23:59:59.0보건소203421.524409455597.319082보건소700500.0601보건소<NA><NA><NA>00<NA><NA>0<NA>
43070000PHMA11965307003404110000119650830<NA>3폐업3폐업20110715<NA><NA><NA>914-3382<NA><NA>서울특별시 성북구 정릉동 16-290서울특별시 성북구 정릉로38다길 34 (정릉동)2816소원의원2020-12-10 14:57:38U2020-12-12 02:40:00.0의원201414.239615455487.632725의원1000.0101내과<NA><NA><NA>00<NA><NA>0<NA>
53070000PHMA11965307003404110000219650830<NA>3폐업3폐업20070718<NA><NA><NA>742-2463<NA><NA>서울특별시 성북구 삼선동2가 44-1서울특별시 성북구 삼선교로10길 3 (삼선동2가)2864윤정형외과의원2020-12-10 15:02:11U2020-12-12 02:40:00.0의원200720.401073453950.18977의원1000.0105정형외과<NA><NA><NA>00<NA><NA>0<NA>
63070000PHMA11965307003404110000319650830<NA>3폐업3폐업20160617<NA><NA><NA>923-2911<NA>136045서울특별시 성북구 삼선동5가 316번지 317번지 지상2층서울특별시 성북구 보문로 162, 지상2층 (삼선동5가)2848한성일치과의원2016-06-17 11:19:27I2018-08-31 23:59:59.0치과의원201424.98822454071.021752치과의원10070.44101 401내과, 치과<NA><NA><NA>00<NA><NA>0<NA>
73070000PHMA11965307003404110000419650830<NA>3폐업3폐업20191231<NA><NA><NA>928-0336<NA>136036서울특별시 성북구 동소문동6가 118번지서울특별시 성북구 동소문로 93-9 (동소문동6가)2830홍씨한의원2019-12-31 16:01:20U2020-01-02 02:40:00.0한의원201275.773911454499.605721한의원1000.0308 302 301한방내과, 한방부인과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
83070000PHMA1196530700340411000051965-09-03<NA>3폐업3폐업2023-01-28<NA><NA><NA>029265228<NA>136-090서울특별시 성북구 종암동 85번지 5호서울특별시 성북구 종암로21가길 4 (종암동)2804세창한의원2023-06-15 18:08:07U2022-12-05 23:07:00.0한의원202924.833401455200.831142<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93070000PHMA11966307003404110000119660709<NA>3폐업3폐업20190601<NA><NA><NA>923-1165<NA>136051서울특별시 성북구 동선동1가 124번지서울특별시 성북구 동소문로20가길 54 (동선동1가)2845김재주피부과의원2019-06-03 09:39:35U2019-06-05 02:40:00.0의원201610.221151454589.779769의원1000.0114피부과<NA><NA><NA>00<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
8573070000PHMA1202430700340411000032015-02-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-491-8882<NA><NA>서울특별시 성북구 석관동 349-1 장위뉴타워서울특별시 성북구 화랑로 248, 장위뉴타워 7층 702호 (석관동)2787나음정신건강의학과의원2024-05-07 10:43:16U2023-12-05 00:09:00.0의원204958.405518456443.387226<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8583070000PHMA1202430700340411000042024-03-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-911-1110<NA><NA>서울특별시 성북구 종암동 3-686 시원빌딩서울특별시 성북구 종암로 122, 시원빌딩 2층 (종암동)2797서울진소아청소년과의원2024-03-14 23:43:18U2023-12-02 23:06:00.0의원202932.384551455431.268286<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8593070000PHMA1202430700340411000052024-03-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-921-8275<NA><NA>서울특별시 성북구 동소문동5가 75서울특별시 성북구 동소문로 98, 4층 (동소문동5가)2846성북본튼튼의원2024-05-10 04:43:27U2023-12-04 23:02:00.0의원201358.89399454439.085102<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8603070000PHMA1202430700340411000062024-03-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-929-7554<NA><NA>서울특별시 성북구 동선동4가 1 (주)하나은행 돈암동지점서울특별시 성북구 동소문로 105, (주)하나은행 돈암동지점 2층 (동선동4가)2829안녕사랑니치과의원2024-05-03 03:43:17U2023-12-05 00:05:00.0치과의원201412.4596454531.86779<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8613070000PHMA1202430700340411000072024-03-19<NA>1영업/정상13영업중<NA><NA><NA><NA>1661-1082<NA><NA>서울특별시 성북구 동소문동4가 75-2 부라다리빙텔서울특별시 성북구 동소문로 47, 부라다리빙텔 1층,2층 (동소문동4가)2832속편한내과의원2024-05-07 11:31:04U2023-12-05 00:09:00.0의원200874.06951454285.976097<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8623070000PHMA1202430700340411000082024-03-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-925-9111<NA><NA><NA>서울특별시 성북구 종암로 129, 3층 302호 (종암동)2803호랑이신경외과의원2024-04-05 05:13:30U2023-12-04 00:07:00.0의원202819.871768455458.024657<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8633070000PHMA1202430700340411000092024-03-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-928-7588<NA><NA>서울특별시 성북구 동소문동5가 75 메디컬센터빌서울특별시 성북구 동소문로 98, 메디컬센터빌 3층 (동소문동5가)2846돈암성모내과의원2024-04-19 00:43:26U2023-12-03 22:01:00.0의원201358.89399454439.085102<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8643070000PHMA1202430700340411000102024-04-16<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6958-7530<NA><NA>서울특별시 성북구 장위동 64-121서울특별시 성북구 화랑로 245, 3층 (장위동)2772장위연세이비인후과의원2024-05-02 23:43:18U2023-12-05 00:04:00.0의원204911.210628456498.098027<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8653070000PHMA1202430700340411000112024-04-24<NA>1영업/정상13영업중<NA><NA><NA><NA>02-915-7575<NA><NA>서울특별시 성북구 정릉동 892-6서울특별시 성북구 정릉로10길 42-2, 3층 (정릉동)2812서울바른가정의학과의원2024-05-10 01:13:22U2023-12-04 23:02:00.0의원199897.537566456192.196642<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8663070000PHMA1202430700340411000122024-04-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 길음동 1288 래미안길음센터피스서울특별시 성북구 숭인로 50, 근린생활시설-1동 1층 1104,1105호 (길음동, 래미안길음센터피스)2727바른고침한의원2024-05-16 21:43:16U2023-12-04 23:08:00.0한의원202337.783039456539.190686<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>