Overview

Dataset statistics

Number of variables41
Number of observations30
Missing cells389
Missing cells (%)31.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.5 KiB
Average record size in memory358.4 B

Variable types

Categorical17
Text6
DateTime3
Unsupported10
Numeric5

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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-16239/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (78.9%)Imbalance
휴업종료일자 is highly imbalanced (78.9%)Imbalance
인허가취소일자 has 30 (100.0%) missing valuesMissing
폐업일자 has 17 (56.7%) missing valuesMissing
재개업일자 has 30 (100.0%) missing valuesMissing
전화번호 has 1 (3.3%) missing valuesMissing
소재지면적 has 30 (100.0%) missing valuesMissing
소재지우편번호 has 20 (66.7%) missing valuesMissing
지번주소 has 7 (23.3%) missing valuesMissing
도로명주소 has 6 (20.0%) missing valuesMissing
도로명우편번호 has 6 (20.0%) missing valuesMissing
업태구분명 has 30 (100.0%) missing valuesMissing
좌표정보(X) has 8 (26.7%) missing valuesMissing
좌표정보(Y) has 8 (26.7%) missing valuesMissing
총면적 has 16 (53.3%) missing valuesMissing
지정취소일자 has 30 (100.0%) missing valuesMissing
완화의료지정형태 has 30 (100.0%) missing valuesMissing
완화의료담당부서명 has 30 (100.0%) missing valuesMissing
총인원 has 30 (100.0%) missing valuesMissing
구조사수 has 30 (100.0%) missing valuesMissing
최초지정일자 has 30 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 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
업태구분명 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

Reproduction

Analysis started2024-04-06 10:26:13.287801
Analysis finished2024-04-06 10:26:14.065292
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
3010000
30 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 30
100.0%

Length

2024-04-06T19:26:14.186384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:26:14.365609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 30
100.0%

관리번호
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-06T19:26:14.747896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters750
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

Unique30 ?
Unique (%)100.0%

Sample

1st rowPHMA319833010033041300001
2nd rowPHMA320173010033041300001
3rd rowPHMA320153010033041300001
4th rowPHMA319943010033041300001
5th rowPHMA319943010033041300002
ValueCountFrequency (%)
phma319833010033041300001 1
 
3.3%
phma320173010033041300001 1
 
3.3%
phma319663010033041300002 1
 
3.3%
phma320213010033041300002 1
 
3.3%
phma320203020033041300001 1
 
3.3%
phma319903010033041300001 1
 
3.3%
phma319833010033041300002 1
 
3.3%
phma319813010033041300002 1
 
3.3%
phma320203010033041300001 1
 
3.3%
phma319933010033041300001 1
 
3.3%
Other values (20) 20
66.7%
2024-04-06T19:26:15.344924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 261
34.8%
3 155
20.7%
1 106
14.1%
4 35
 
4.7%
P 30
 
4.0%
H 30
 
4.0%
M 30
 
4.0%
A 30
 
4.0%
2 26
 
3.5%
9 25
 
3.3%
Other values (4) 22
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 630
84.0%
Uppercase Letter 120
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 261
41.4%
3 155
24.6%
1 106
16.8%
4 35
 
5.6%
2 26
 
4.1%
9 25
 
4.0%
6 9
 
1.4%
7 8
 
1.3%
8 4
 
0.6%
5 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
P 30
25.0%
H 30
25.0%
M 30
25.0%
A 30
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 630
84.0%
Latin 120
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 261
41.4%
3 155
24.6%
1 106
16.8%
4 35
 
5.6%
2 26
 
4.1%
9 25
 
4.0%
6 9
 
1.4%
7 8
 
1.3%
8 4
 
0.6%
5 1
 
0.2%
Latin
ValueCountFrequency (%)
P 30
25.0%
H 30
25.0%
M 30
25.0%
A 30
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 750
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 261
34.8%
3 155
20.7%
1 106
14.1%
4 35
 
4.7%
P 30
 
4.0%
H 30
 
4.0%
M 30
 
4.0%
A 30
 
4.0%
2 26
 
3.5%
9 25
 
3.3%
Other values (4) 22
 
2.9%

인허가일자
Date

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum1966-01-19 00:00:00
Maximum2021-10-23 00:00:00
2024-04-06T19:26:15.567559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:26:15.809299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
17 
3
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 17
56.7%
3 13
43.3%

Length

2024-04-06T19:26:16.071996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:26:16.250266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 17
56.7%
3 13
43.3%

영업상태명
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
영업/정상
17 
폐업
13 

Length

Max length5
Median length5
Mean length3.7
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 17
56.7%
폐업 13
43.3%

Length

2024-04-06T19:26:16.541164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:26:16.742933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 17
56.7%
폐업 13
43.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
13
17 
3
13 

Length

Max length2
Median length2
Mean length1.5666667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 17
56.7%
3 13
43.3%

Length

2024-04-06T19:26:16.937506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:26:17.106359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 17
56.7%
3 13
43.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
영업중
17 
폐업
13 

Length

Max length3
Median length3
Mean length2.5666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 17
56.7%
폐업 13
43.3%

Length

2024-04-06T19:26:17.309705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:26:17.493520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 17
56.7%
폐업 13
43.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)76.9%
Missing17
Missing (%)56.7%
Infinite0
Infinite (%)0.0%
Mean20134749
Minimum20081231
Maximum20201130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T19:26:17.677048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20081231
5-th percentile20081231
Q120090805
median20150131
Q320171001
95-th percentile20189058
Maximum20201130
Range119899
Interquartile range (IQR)80196

Descriptive statistics

Standard deviation44169.575
Coefficient of variation (CV)0.0021936988
Kurtosis-1.8417002
Mean20134749
Median Absolute Deviation (MAD)48918
Skewness0.025717797
Sum2.6175174 × 108
Variance1.9509513 × 109
MonotonicityNot monotonic
2024-04-06T19:26:17.888943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20081231 2
 
6.7%
20090805 2
 
6.7%
20160730 2
 
6.7%
20101025 1
 
3.3%
20150131 1
 
3.3%
20180701 1
 
3.3%
20101213 1
 
3.3%
20181010 1
 
3.3%
20171001 1
 
3.3%
20201130 1
 
3.3%
(Missing) 17
56.7%
ValueCountFrequency (%)
20081231 2
6.7%
20090805 2
6.7%
20101025 1
3.3%
20101213 1
3.3%
20150131 1
3.3%
20160730 2
6.7%
20171001 1
3.3%
20180701 1
3.3%
20181010 1
3.3%
20201130 1
3.3%
ValueCountFrequency (%)
20201130 1
3.3%
20181010 1
3.3%
20180701 1
3.3%
20171001 1
3.3%
20160730 2
6.7%
20150131 1
3.3%
20101213 1
3.3%
20101025 1
3.3%
20090805 2
6.7%
20081231 2
6.7%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
29 
20180116
 
1

Length

Max length8
Median length4
Mean length4.1333333
Min length4

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
96.7%
20180116 1
 
3.3%

Length

2024-04-06T19:26:18.169732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:26:18.465954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
96.7%
20180116 1
 
3.3%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
29 
20180630
 
1

Length

Max length8
Median length4
Mean length4.1333333
Min length4

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
96.7%
20180630 1
 
3.3%

Length

2024-04-06T19:26:18.699436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:26:19.253401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
96.7%
20180630 1
 
3.3%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

전화번호
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing1
Missing (%)3.3%
Memory size372.0 B
2024-04-06T19:26:19.554494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.241379
Min length8

Characters and Unicode

Total characters297
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row2002-2153
2nd row02-6950-1688
3rd row02-6740-0116
4th row729-9091
5th row773-2811
ValueCountFrequency (%)
2002-2153 1
 
3.4%
02-3393-9609 1
 
3.4%
02-759-4574 1
 
3.4%
02-6106-4336 1
 
3.4%
02-777-1145 1
 
3.4%
02-2151-5824 1
 
3.4%
2002-2147 1
 
3.4%
729-6406 1
 
3.4%
02-6496-2242 1
 
3.4%
02-2151-5825,5826 1
 
3.4%
Other values (19) 19
65.5%
2024-04-06T19:26:20.087134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 50
16.8%
- 42
14.1%
0 35
11.8%
1 31
10.4%
7 27
9.1%
3 23
7.7%
5 21
7.1%
4 19
 
6.4%
9 17
 
5.7%
8 16
 
5.4%
Other values (2) 16
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 254
85.5%
Dash Punctuation 42
 
14.1%
Other Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 50
19.7%
0 35
13.8%
1 31
12.2%
7 27
10.6%
3 23
9.1%
5 21
8.3%
4 19
 
7.5%
9 17
 
6.7%
8 16
 
6.3%
6 15
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 297
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 50
16.8%
- 42
14.1%
0 35
11.8%
1 31
10.4%
7 27
9.1%
3 23
7.7%
5 21
7.1%
4 19
 
6.4%
9 17
 
5.7%
8 16
 
5.4%
Other values (2) 16
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 297
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 50
16.8%
- 42
14.1%
0 35
11.8%
1 31
10.4%
7 27
9.1%
3 23
7.7%
5 21
7.1%
4 19
 
6.4%
9 17
 
5.7%
8 16
 
5.4%
Other values (2) 16
 
5.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

소재지우편번호
Text

MISSING 

Distinct8
Distinct (%)80.0%
Missing20
Missing (%)66.7%
Memory size372.0 B
2024-04-06T19:26:20.351151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6.5
Mean length4.6
Min length3

Characters and Unicode

Total characters46
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

Unique6 ?
Unique (%)60.0%

Sample

1st row814
2nd row814
3rd row100788
4th row100011
5th row100192
ValueCountFrequency (%)
814 2
20.0%
052 2
20.0%
100788 1
10.0%
100011 1
10.0%
100192 1
10.0%
865 1
10.0%
100110 1
10.0%
100-739 1
10.0%
2024-04-06T19:26:20.861976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14
30.4%
1 12
26.1%
8 5
 
10.9%
5 3
 
6.5%
2 3
 
6.5%
4 2
 
4.3%
7 2
 
4.3%
9 2
 
4.3%
6 1
 
2.2%
- 1
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 45
97.8%
Dash Punctuation 1
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14
31.1%
1 12
26.7%
8 5
 
11.1%
5 3
 
6.7%
2 3
 
6.7%
4 2
 
4.4%
7 2
 
4.4%
9 2
 
4.4%
6 1
 
2.2%
3 1
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 46
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 14
30.4%
1 12
26.1%
8 5
 
10.9%
5 3
 
6.5%
2 3
 
6.5%
4 2
 
4.3%
7 2
 
4.3%
9 2
 
4.3%
6 1
 
2.2%
- 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14
30.4%
1 12
26.1%
8 5
 
10.9%
5 3
 
6.5%
2 3
 
6.5%
4 2
 
4.3%
7 2
 
4.3%
9 2
 
4.3%
6 1
 
2.2%
- 1
 
2.2%

지번주소
Text

MISSING 

Distinct19
Distinct (%)82.6%
Missing7
Missing (%)23.3%
Memory size372.0 B
2024-04-06T19:26:21.296072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length25.391304
Min length9

Characters and Unicode

Total characters584
Distinct characters88
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)65.2%

Sample

1st row서울특별시 중구 을지로1가 101번지 1호 8층
2nd row서울특별시 중구 을지로2가 203번지 파인에비뉴
3rd row서소문동 58-9 중앙빌딩 3층
4th row서소문동 58-9 ,3층
5th row서울특별시 중구 남대문로5가 166번지 한화생명보험빌딩
ValueCountFrequency (%)
서울특별시 18
 
14.8%
중구 18
 
14.8%
서소문동 5
 
4.1%
을지로2가 5
 
4.1%
태평로2가 4
 
3.3%
7층 3
 
2.5%
1호 2
 
1.6%
1층 2
 
1.6%
남대문로5가 2
 
1.6%
3층 2
 
1.6%
Other values (46) 61
50.0%
2024-04-06T19:26:21.889794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
99
 
17.0%
1 28
 
4.8%
서 24
 
4.1%
2 24
 
4.1%
지 21
 
3.6%
별 21
 
3.6%
중 20
 
3.4%
울 19
 
3.3%
시 19
 
3.3%
특 18
 
3.1%
Other values (78) 291
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 369
63.2%
Decimal Number 106
 
18.2%
Space Separator 99
 
17.0%
Dash Punctuation 3
 
0.5%
Uppercase Letter 3
 
0.5%
Other Punctuation 2
 
0.3%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 24
 
6.5%
지 21
 
5.7%
별 21
 
5.7%
중 20
 
5.4%
울 19
 
5.1%
시 19
 
5.1%
특 18
 
4.9%
구 18
 
4.9%
가 17
 
4.6%
로 16
 
4.3%
Other values (60) 176
47.7%
Decimal Number
ValueCountFrequency (%)
1 28
26.4%
2 24
22.6%
0 14
13.2%
5 10
 
9.4%
3 8
 
7.5%
8 6
 
5.7%
7 5
 
4.7%
9 5
 
4.7%
6 5
 
4.7%
4 1
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
K 1
33.3%
I 1
33.3%
Space Separator
ValueCountFrequency (%)
99
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 369
63.2%
Common 212
36.3%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 24
 
6.5%
지 21
 
5.7%
별 21
 
5.7%
중 20
 
5.4%
울 19
 
5.1%
시 19
 
5.1%
특 18
 
4.9%
구 18
 
4.9%
가 17
 
4.6%
로 16
 
4.3%
Other values (60) 176
47.7%
Common
ValueCountFrequency (%)
99
46.7%
1 28
 
13.2%
2 24
 
11.3%
0 14
 
6.6%
5 10
 
4.7%
3 8
 
3.8%
8 6
 
2.8%
7 5
 
2.4%
9 5
 
2.4%
6 5
 
2.4%
Other values (5) 8
 
3.8%
Latin
ValueCountFrequency (%)
B 1
33.3%
K 1
33.3%
I 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 369
63.2%
ASCII 215
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
99
46.0%
1 28
 
13.0%
2 24
 
11.2%
0 14
 
6.5%
5 10
 
4.7%
3 8
 
3.7%
8 6
 
2.8%
7 5
 
2.3%
9 5
 
2.3%
6 5
 
2.3%
Other values (8) 11
 
5.1%
Hangul
ValueCountFrequency (%)
서 24
 
6.5%
지 21
 
5.7%
별 21
 
5.7%
중 20
 
5.4%
울 19
 
5.1%
시 19
 
5.1%
특 18
 
4.9%
구 18
 
4.9%
가 17
 
4.6%
로 16
 
4.3%
Other values (60) 176
47.7%

도로명주소
Text

MISSING 

Distinct21
Distinct (%)87.5%
Missing6
Missing (%)20.0%
Memory size372.0 B
2024-04-06T19:26:22.287755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length40
Mean length35.041667
Min length24

Characters and Unicode

Total characters841
Distinct characters96
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

Unique18 ?
Unique (%)75.0%

Sample

1st row서울특별시 중구 을지로 35, 8층 (을지로1가, 하나은행)
2nd row서울특별시 중구 을지로 100, A동 3층 301호 (을지로2가)
3rd row서울특별시 중구 동호로 330, 3층 (쌍림동, 씨제이제일제당센터)
4th row서울특별시 중구 남대문로 39, 한국은행건물 2층 (남대문로3가)
5th row서울특별시 중구 퇴계로 25 (남대문로5가)
ValueCountFrequency (%)
서울특별시 24
 
14.0%
중구 24
 
14.0%
을지로 7
 
4.1%
을지로2가 5
 
2.9%
서소문동 5
 
2.9%
2층 4
 
2.3%
1층 4
 
2.3%
덕수궁길 3
 
1.8%
남대문로 3
 
1.8%
15 3
 
1.8%
Other values (64) 89
52.0%
2024-04-06T19:26:22.940083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
147
 
17.5%
로 37
 
4.4%
서 33
 
3.9%
, 31
 
3.7%
별 28
 
3.3%
2 27
 
3.2%
시 27
 
3.2%
울 26
 
3.1%
중 25
 
3.0%
( 24
 
2.9%
Other values (86) 436
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 507
60.3%
Space Separator 147
 
17.5%
Decimal Number 104
 
12.4%
Other Punctuation 31
 
3.7%
Open Punctuation 24
 
2.9%
Close Punctuation 24
 
2.9%
Uppercase Letter 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 37
 
7.3%
서 33
 
6.5%
별 28
 
5.5%
시 27
 
5.3%
울 26
 
5.1%
중 25
 
4.9%
특 24
 
4.7%
구 24
 
4.7%
층 21
 
4.1%
지 17
 
3.4%
Other values (68) 245
48.3%
Decimal Number
ValueCountFrequency (%)
2 27
26.0%
1 21
20.2%
3 16
15.4%
5 13
12.5%
0 10
 
9.6%
8 5
 
4.8%
7 4
 
3.8%
9 4
 
3.8%
4 2
 
1.9%
6 2
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
B 1
25.0%
K 1
25.0%
I 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
147
100.0%
Other Punctuation
ValueCountFrequency (%)
, 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 507
60.3%
Common 330
39.2%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 37
 
7.3%
서 33
 
6.5%
별 28
 
5.5%
시 27
 
5.3%
울 26
 
5.1%
중 25
 
4.9%
특 24
 
4.7%
구 24
 
4.7%
층 21
 
4.1%
지 17
 
3.4%
Other values (68) 245
48.3%
Common
ValueCountFrequency (%)
147
44.5%
, 31
 
9.4%
2 27
 
8.2%
( 24
 
7.3%
) 24
 
7.3%
1 21
 
6.4%
3 16
 
4.8%
5 13
 
3.9%
0 10
 
3.0%
8 5
 
1.5%
Other values (4) 12
 
3.6%
Latin
ValueCountFrequency (%)
B 1
25.0%
K 1
25.0%
I 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 507
60.3%
ASCII 334
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
147
44.0%
, 31
 
9.3%
2 27
 
8.1%
( 24
 
7.2%
) 24
 
7.2%
1 21
 
6.3%
3 16
 
4.8%
5 13
 
3.9%
0 10
 
3.0%
8 5
 
1.5%
Other values (8) 16
 
4.8%
Hangul
ValueCountFrequency (%)
로 37
 
7.3%
서 33
 
6.5%
별 28
 
5.5%
시 27
 
5.3%
울 26
 
5.1%
중 25
 
4.9%
특 24
 
4.7%
구 24
 
4.7%
층 21
 
4.1%
지 17
 
3.4%
Other values (68) 245
48.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)75.0%
Missing6
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean8519.3333
Minimum4505
Maximum100192
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T19:26:23.156476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4505
5-th percentile4509.6
Q14514.75
median4526.5
Q34538.25
95-th percentile4632.35
Maximum100192
Range95687
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation19526.22
Coefficient of variation (CV)2.2919892
Kurtosis23.999867
Mean8519.3333
Median Absolute Deviation (MAD)12
Skewness4.8989599
Sum204464
Variance3.8127327 × 108
MonotonicityNot monotonic
2024-04-06T19:26:23.366493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
4515 3
 
10.0%
4514 2
 
6.7%
4513 2
 
6.7%
4523 2
 
6.7%
4531 2
 
6.7%
100192 1
 
3.3%
4533 1
 
3.3%
4534 1
 
3.3%
4539 1
 
3.3%
4551 1
 
3.3%
Other values (8) 8
26.7%
(Missing) 6
20.0%
ValueCountFrequency (%)
4505 1
 
3.3%
4509 1
 
3.3%
4513 2
6.7%
4514 2
6.7%
4515 3
10.0%
4523 2
6.7%
4526 1
 
3.3%
4527 1
 
3.3%
4531 2
6.7%
4533 1
 
3.3%
ValueCountFrequency (%)
100192 1
3.3%
4637 1
3.3%
4606 1
3.3%
4560 1
3.3%
4551 1
3.3%
4539 1
3.3%
4538 1
3.3%
4534 1
3.3%
4533 1
3.3%
4531 2
6.7%

사업장명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-06T19:26:23.731516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length10.566667
Min length7

Characters and Unicode

Total characters317
Distinct characters77
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row(주)하나은행부속의원
2nd row신한카드부속의원
3rd row씨제이부속의원
4th row삼성전자부속의원
5th row삼성전자부속치과의원
ValueCountFrequency (%)
주)하나은행부속의원 1
 
3.3%
신한카드부속의원 1
 
3.3%
한국은행부속치과의원 1
 
3.3%
한국수력원자력(주)서울부속의원 1
 
3.3%
다시서기종합지원센터부속의원 1
 
3.3%
신한은행부속의원 1
 
3.3%
주)하나은행부속치과의원 1
 
3.3%
중소기업은행부속치과의원 1
 
3.3%
장금상선(주)부속의원 1
 
3.3%
신한은행부속치과의원 1
 
3.3%
Other values (20) 20
66.7%
2024-04-06T19:26:24.273810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 33
 
10.4%
의 30
 
9.5%
부 29
 
9.1%
속 29
 
9.1%
치 11
 
3.5%
과 11
 
3.5%
은 11
 
3.5%
행 11
 
3.5%
한 8
 
2.5%
서 7
 
2.2%
Other values (67) 137
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 300
94.6%
Open Punctuation 6
 
1.9%
Close Punctuation 6
 
1.9%
Other Symbol 3
 
0.9%
Uppercase Letter 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 33
 
11.0%
의 30
 
10.0%
부 29
 
9.7%
속 29
 
9.7%
치 11
 
3.7%
과 11
 
3.7%
은 11
 
3.7%
행 11
 
3.7%
한 8
 
2.7%
서 7
 
2.3%
Other values (62) 120
40.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 303
95.6%
Common 12
 
3.8%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 33
 
10.9%
의 30
 
9.9%
부 29
 
9.6%
속 29
 
9.6%
치 11
 
3.6%
과 11
 
3.6%
은 11
 
3.6%
행 11
 
3.6%
한 8
 
2.6%
서 7
 
2.3%
Other values (63) 123
40.6%
Common
ValueCountFrequency (%)
( 6
50.0%
) 6
50.0%
Latin
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 300
94.6%
ASCII 14
 
4.4%
None 3
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 33
 
11.0%
의 30
 
10.0%
부 29
 
9.7%
속 29
 
9.7%
치 11
 
3.7%
과 11
 
3.7%
은 11
 
3.7%
행 11
 
3.7%
한 8
 
2.7%
서 7
 
2.3%
Other values (62) 120
40.0%
ASCII
ValueCountFrequency (%)
( 6
42.9%
) 6
42.9%
S 1
 
7.1%
K 1
 
7.1%
None
ValueCountFrequency (%)
㈜ 3
100.0%

최종수정일자
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2008-12-31 15:37:13
Maximum2024-03-01 05:13:13
2024-04-06T19:26:24.467977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:26:24.714570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
U
19 
I
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 19
63.3%
I 11
36.7%

Length

2024-04-06T19:26:24.935517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:26:25.108823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 19
63.3%
i 11
36.7%

데이터갱신일자
Date

Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:03:00
2024-04-06T19:26:25.281062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:26:25.483076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)72.7%
Missing8
Missing (%)26.7%
Infinite0
Infinite (%)0.0%
Mean198120.31
Minimum196948.93
Maximum200219.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T19:26:25.694337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196948.93
5-th percentile197417.02
Q1197699.4
median197839.17
Q3198400.76
95-th percentile198921.24
Maximum200219.38
Range3270.4419
Interquartile range (IQR)701.36341

Descriptive statistics

Standard deviation684.57957
Coefficient of variation (CV)0.0034553731
Kurtosis3.1183372
Mean198120.31
Median Absolute Deviation (MAD)352.08454
Skewness1.3279995
Sum4358646.8
Variance468649.19
MonotonicityNot monotonic
2024-04-06T19:26:25.976334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
197672.213473779 3
 
10.0%
198921.241301241 2
 
6.7%
197699.396252332 2
 
6.7%
198338.095599974 2
 
6.7%
197786.630049666 2
 
6.7%
198219.908335105 1
 
3.3%
198421.647678142 1
 
3.3%
198519.736197762 1
 
3.3%
197774.2350787 1
 
3.3%
198162.595385815 1
 
3.3%
Other values (6) 6
20.0%
(Missing) 8
26.7%
ValueCountFrequency (%)
196948.933328771 1
 
3.3%
197403.590119982 1
 
3.3%
197672.213473779 3
10.0%
197699.396252332 2
6.7%
197774.2350787 1
 
3.3%
197786.630049666 2
6.7%
197802.292053706 1
 
3.3%
197876.042588141 1
 
3.3%
198162.595385815 1
 
3.3%
198219.908335105 1
 
3.3%
ValueCountFrequency (%)
200219.375254761 1
3.3%
198921.241301241 2
6.7%
198791.046999434 1
3.3%
198519.736197762 1
3.3%
198421.647678142 1
3.3%
198338.095599974 2
6.7%
198219.908335105 1
3.3%
198162.595385815 1
3.3%
197876.042588141 1
3.3%
197802.292053706 1
3.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)72.7%
Missing8
Missing (%)26.7%
Infinite0
Infinite (%)0.0%
Mean451190.48
Minimum450252.4
Maximum451573.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T19:26:26.277730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450252.4
5-th percentile450584.18
Q1450999.63
median451312.55
Q3451491.17
95-th percentile451572.99
Maximum451573.13
Range1320.7285
Interquartile range (IQR)491.53807

Descriptive statistics

Standard deviation359.17626
Coefficient of variation (CV)0.00079606348
Kurtosis0.897402
Mean451190.48
Median Absolute Deviation (MAD)199.72265
Skewness-1.1507263
Sum9926190.5
Variance129007.59
MonotonicityNot monotonic
2024-04-06T19:26:26.528042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
451336.718396022 3
 
10.0%
451495.985361171 2
 
6.7%
450972.803825672 2
 
6.7%
451573.129459787 2
 
6.7%
451192.227609488 2
 
6.7%
451476.716957699 1
 
3.3%
451369.545909652 1
 
3.3%
451570.324241735 1
 
3.3%
450583.828179602 1
 
3.3%
451097.082869101 1
 
3.3%
Other values (6) 6
20.0%
(Missing) 8
26.7%
ValueCountFrequency (%)
450252.400952479 1
 
3.3%
450583.828179602 1
 
3.3%
450590.945274605 1
 
3.3%
450906.177832843 1
 
3.3%
450972.803825672 2
6.7%
451080.109295385 1
 
3.3%
451097.082869101 1
 
3.3%
451192.227609488 2
6.7%
451288.386735763 1
 
3.3%
451336.718396022 3
10.0%
ValueCountFrequency (%)
451573.129459787 2
6.7%
451570.324241735 1
 
3.3%
451496.528160092 1
 
3.3%
451495.985361171 2
6.7%
451476.716957699 1
 
3.3%
451369.545909652 1
 
3.3%
451336.718396022 3
10.0%
451288.386735763 1
 
3.3%
451192.227609488 2
6.7%
451097.082869101 1
 
3.3%

의료기관종별명
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
16 
부속의원
14 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 16
53.3%
부속의원 14
46.7%

Length

2024-04-06T19:26:26.779055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:26:26.935984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
53.3%
부속의원 14
46.7%

의료인수
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
16 
1
7 
2
5 
3
2 

Length

Max length4
Median length4
Mean length2.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row1
5th row2

Common Values

ValueCountFrequency (%)
<NA> 16
53.3%
1 7
23.3%
2 5
 
16.7%
3 2
 
6.7%

Length

2024-04-06T19:26:27.127541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:26:27.333500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
53.3%
1 7
23.3%
2 5
 
16.7%
3 2
 
6.7%

입원실수
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
16 
0
14 

Length

Max length4
Median length4
Mean length2.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 16
53.3%
0 14
46.7%

Length

2024-04-06T19:26:27.527071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:26:27.683604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
53.3%
0 14
46.7%

병상수
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
16 
0
14 

Length

Max length4
Median length4
Mean length2.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 16
53.3%
0 14
46.7%

Length

2024-04-06T19:26:27.900408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:26:28.077299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
53.3%
0 14
46.7%

총면적
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing16
Missing (%)53.3%
Infinite0
Infinite (%)0.0%
Mean162.63929
Minimum30
Maximum547.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T19:26:28.269038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile35.07
Q151.5275
median128.015
Q3191.9575
95-th percentile408.648
Maximum547.28
Range517.28
Interquartile range (IQR)140.43

Descriptive statistics

Standard deviation145.63682
Coefficient of variation (CV)0.89545907
Kurtosis2.6898331
Mean162.63929
Median Absolute Deviation (MAD)74.33
Skewness1.5649512
Sum2276.95
Variance21210.084
MonotonicityNot monotonic
2024-04-06T19:26:28.491710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
183.15 1
 
3.3%
190.48 1
 
3.3%
547.28 1
 
3.3%
334.0 1
 
3.3%
58.0 1
 
3.3%
49.37 1
 
3.3%
273.99 1
 
3.3%
30.0 1
 
3.3%
49.3 1
 
3.3%
82.9 1
 
3.3%
Other values (4) 4
 
13.3%
(Missing) 16
53.3%
ValueCountFrequency (%)
30.0 1
3.3%
37.8 1
3.3%
49.3 1
3.3%
49.37 1
3.3%
58.0 1
3.3%
75.1 1
3.3%
82.9 1
3.3%
173.13 1
3.3%
183.15 1
3.3%
190.48 1
3.3%
ValueCountFrequency (%)
547.28 1
3.3%
334.0 1
3.3%
273.99 1
3.3%
192.45 1
3.3%
190.48 1
3.3%
183.15 1
3.3%
173.13 1
3.3%
82.9 1
3.3%
75.1 1
3.3%
58.0 1
3.3%

진료과목내용
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
16 
401
6 
101
4 
122
3 
113 109 103 101
 
1

Length

Max length15
Median length4
Mean length3.9333333
Min length3

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row101
5th row401

Common Values

ValueCountFrequency (%)
<NA> 16
53.3%
401 6
 
20.0%
101 4
 
13.3%
122 3
 
10.0%
113 109 103 101 1
 
3.3%

Length

2024-04-06T19:26:28.690425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:26:28.891237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
48.5%
401 6
 
18.2%
101 5
 
15.2%
122 3
 
9.1%
113 1
 
3.0%
109 1
 
3.0%
103 1
 
3.0%

진료과목내용명
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
16 
치과
6 
내과
4 
가정의학과
3 
내과, 정신건강의학과, 마취통증의학과, 이비인후과
 
1

Length

Max length27
Median length4
Mean length4.2
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 16
53.3%
치과 6
 
20.0%
내과 4
 
13.3%
가정의학과 3
 
10.0%
내과, 정신건강의학과, 마취통증의학과, 이비인후과 1
 
3.3%

Length

2024-04-06T19:26:29.103855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:26:29.325529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
48.5%
치과 6
 
18.2%
내과 5
 
15.2%
가정의학과 3
 
9.1%
정신건강의학과 1
 
3.0%
마취통증의학과 1
 
3.0%
이비인후과 1
 
3.0%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

구급차특수
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
16 
0
14 

Length

Max length4
Median length4
Mean length2.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 16
53.3%
0 14
46.7%

Length

2024-04-06T19:26:29.560965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:26:29.781202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
53.3%
0 14
46.7%

구급차일반
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
16 
0
14 

Length

Max length4
Median length4
Mean length2.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 16
53.3%
0 14
46.7%

Length

2024-04-06T19:26:29.959981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:26:30.217377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
53.3%
0 14
46.7%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

허가병상수
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
16 
0
14 

Length

Max length4
Median length4
Mean length2.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 16
53.3%
0 14
46.7%

Length

2024-04-06T19:26:30.460525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:26:30.664682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
53.3%
0 14
46.7%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03010000PHMA31983301003304130000119831114<NA>1영업/정상13영업중<NA><NA><NA><NA>2002-2153<NA><NA>서울특별시 중구 을지로1가 101번지 1호 8층서울특별시 중구 을지로 35, 8층 (을지로1가, 하나은행)4523(주)하나은행부속의원2023-01-19 13:43:40U2022-11-30 22:01:00.0<NA>198338.0956451573.12946<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13010000PHMA3201730100330413000012017-11-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6950-1688<NA><NA>서울특별시 중구 을지로2가 203번지 파인에비뉴서울특별시 중구 을지로 100, A동 3층 301호 (을지로2가)4551신한카드부속의원2024-03-01 05:13:13U2023-12-03 00:03:00.0<NA>198921.241301451495.985361<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23010000PHMA3201530100330413000012015-12-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6740-0116<NA><NA><NA>서울특별시 중구 동호로 330, 3층 (쌍림동, 씨제이제일제당센터)4560씨제이부속의원2023-09-11 16:24:37U2022-12-08 23:03:00.0<NA>200219.375255451288.386736<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33010000PHMA31994301003304130000119940624<NA>3폐업3폐업20081231<NA><NA><NA>729-9091<NA>814서소문동 58-9 중앙빌딩 3층<NA><NA>삼성전자부속의원2008-12-31 15:37:13I2018-08-31 23:59:59.0<NA><NA><NA>부속의원100183.15101내과<NA><NA><NA>00<NA><NA>0<NA>
43010000PHMA31994301003304130000219940625<NA>3폐업3폐업20081231<NA><NA><NA>773-2811<NA>814서소문동 58-9 ,3층<NA><NA>삼성전자부속치과의원2009-07-29 10:56:12I2018-08-31 23:59:59.0<NA><NA><NA>부속의원200190.48401치과<NA><NA><NA>00<NA><NA>0<NA>
53010000PHMA3196630100330413000011966-01-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-759-4571<NA><NA><NA>서울특별시 중구 남대문로 39, 한국은행건물 2층 (남대문로3가)4531한국은행부속의원2023-04-25 16:20:48U2022-12-03 22:08:00.0<NA>198162.595386451097.082869<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63010000PHMA31974301003304130000219740302<NA>1영업/정상13영업중<NA><NA><NA><NA>726-3482<NA>100788서울특별시 중구 남대문로5가 166번지 한화생명보험빌딩서울특별시 중구 퇴계로 25 (남대문로5가)4527한화생명보험(주)남대문부속의원2019-12-27 15:41:58U2019-12-29 02:40:00.0<NA>197774.235079450583.82818부속의원100547.28101내과<NA><NA><NA>00<NA><NA>0<NA>
73010000PHMA32010301003304130000120100628<NA>3폐업3폐업20101025<NA><NA><NA>777-1224<NA>100011서울특별시 중구 충무로1가 24-31 (2층)<NA><NA>기독교소비자생활협동조합부속치과의원2010-10-25 16:04:50I2018-08-31 23:59:59.0<NA><NA><NA>부속의원200334.0401치과<NA><NA><NA>00<NA><NA>0<NA>
83010000PHMA32010301003304130000220100628<NA>3폐업3폐업20150131<NA><NA><NA>3499-1430<NA>100192서울특별시 중구 을지로2가 203번지 파인에비뉴 2층서울특별시 중구 을지로 100, 2층 (을지로2가, 파인에비뉴)100192SK건설부속의원2015-07-14 11:31:46I2018-08-31 23:59:59.0<NA>198921.241301451495.985361부속의원10058.0122가정의학과<NA><NA><NA>00<NA><NA>0<NA>
93010000PHMA32008301003304130000120081114<NA>3폐업3폐업201807012018011620180630<NA>759-7115<NA><NA><NA>서울특별시 중구 을지로 30 (소공동, 지하 2층)4533(주)호텔롯데부속의원2018-06-25 08:25:00I2018-08-31 23:59:59.0<NA>198219.908335451476.716958부속의원20049.37122가정의학과<NA><NA><NA>00<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
203010000PHMA3201330100330413000012013-05-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2133-1829<NA><NA><NA>서울특별시 중구 덕수궁길 15, 1층 (서소문동, 서울시청 서소문청사2동)4515서울시청부속한의원2023-07-07 05:43:14U2022-12-07 00:09:00.0<NA>197672.213474451336.718396<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
213010000PHMA3199330100330413000011993-01-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2151-5825,5826<NA><NA>서울특별시 중구 태평로2가 120 대경빌딩 신한은행 본점서울특별시 중구 세종대로9길 20, 대경빌딩 신한은행 본점 15층 (태평로2가)4513신한은행부속치과의원2023-04-21 02:43:12U2022-12-03 22:03:00.0<NA>197699.396252450972.803826<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
223010000PHMA32020301003304130000120200625<NA>3폐업3폐업20201130<NA><NA><NA>02-6496-2242<NA><NA>서울특별시 중구 태평로2가 70번지 5호 해남빌딩 1층서울특별시 중구 세종대로 64, 해남빌딩 1층 (태평로2가)4526장금상선(주)부속의원2020-12-18 14:51:49U2020-12-20 02:40:00.0<NA>197876.042588451080.109295부속의원20037.8113 109 103 101내과, 정신건강의학과, 마취통증의학과, 이비인후과<NA><NA><NA>00<NA><NA>0<NA>
233010000PHMA31981301003304130000219810824<NA>1영업/정상13영업중<NA><NA><NA><NA>729-6406<NA><NA>서울특별시 중구 을지로2가 206번지 IBK파이낸스타워서울특별시 중구 을지로 82, IBK파이낸스타워 지하1층 (을지로2가)4538중소기업은행부속치과의원2023-01-17 09:44:00U2022-11-30 23:09:00.0<NA>198791.046999451496.52816<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243010000PHMA31983301003304130000219831114<NA>1영업/정상13영업중<NA><NA><NA><NA>2002-2147<NA><NA>서울특별시 중구 을지로1가 101번지 1호 8층서울특별시 중구 을지로 35, 8층 (을지로1가, 하나은행)4523(주)하나은행부속치과의원2023-01-19 13:44:03U2022-11-30 22:01:00.0<NA>198338.0956451573.12946<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
253010000PHMA3199030100330413000011990-02-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2151-5824<NA><NA>서울특별시 중구 태평로2가 120 대경빌딩 신한은행 본점서울특별시 중구 세종대로9길 20, 대경빌딩 신한은행 본점 15층 (태평로2가)4513신한은행부속의원2024-01-26 01:43:15U2023-11-30 22:08:00.0<NA>197699.396252450972.803826<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
263010000PHMA32020302003304130000120170316<NA>1영업/정상13영업중<NA><NA><NA><NA>02-777-1145<NA><NA>서울특별시 중구 봉래동2가 123번지 서울역앞우체국 2,3층서울특별시 중구 통일로 21, 서울역앞우체국 2,3층 (봉래동2가)4509다시서기종합지원센터부속의원2022-09-02 12:43:13U2021-12-09 00:04:00.0<NA>197403.59012450590.945275<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
273010000PHMA3202130100330413000022021-10-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6106-4336<NA><NA>서울특별시 중구 중림동 500 센트럴타워서울특별시 중구 서소문로 38, 센트럴타워 2,12층 (중림동)4505한국수력원자력(주)서울부속의원2023-03-14 13:17:07U2022-12-02 23:06:00.0<NA>196948.933329450906.177833<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
283010000PHMA3196630100330413000021966-01-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-759-4574<NA><NA><NA>서울특별시 중구 남대문로 39, 본관 2층 (남대문로3가)4531한국은행부속치과의원2023-04-10 13:24:20U2022-12-03 23:02:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
293010000PHMA3201930100330413000012019-12-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-726-8100<NA><NA>서울특별시 중구 남대문로5가 500번지 제일빌딩 5층서울특별시 중구 소월로2길 12, 제일빌딩 5층 (남대문로5가)4637씨제이더센터부속의원2023-03-31 03:13:13U2022-12-04 00:02:00.0<NA>197802.292054450252.400952<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>