Overview

Dataset statistics

Number of variables44
Number of observations328
Missing cells3891
Missing cells (%)27.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory122.2 KiB
Average record size in memory381.4 B

Variable types

Numeric14
Categorical13
Text7
Unsupported9
DateTime1

Dataset

Description22년08월_6270000_대구광역시_01_01_01_P_병원
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000094294&dataSetDetailId=DDI_0000094349&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
구급차특수 has constant value ""Constant
구급차일반 has constant value ""Constant
허가병상수 has constant value ""Constant
휴업종료일자 is highly imbalanced (94.2%)Imbalance
인허가취소일자 has 328 (100.0%) missing valuesMissing
폐업일자 has 228 (69.5%) missing valuesMissing
휴업시작일자 has 322 (98.2%) missing valuesMissing
재개업일자 has 328 (100.0%) missing valuesMissing
소재지전화 has 16 (4.9%) missing valuesMissing
소재지면적 has 328 (100.0%) missing valuesMissing
소재지우편번호 has 193 (58.8%) missing valuesMissing
소재지전체주소 has 69 (21.0%) missing valuesMissing
도로명전체주소 has 10 (3.0%) missing valuesMissing
도로명우편번호 has 37 (11.3%) missing valuesMissing
좌표정보(X) has 32 (9.8%) missing valuesMissing
좌표정보(Y) has 32 (9.8%) missing valuesMissing
지정취소일자 has 328 (100.0%) missing valuesMissing
완화의료지정형태 has 328 (100.0%) missing valuesMissing
완화의료담당부서명 has 328 (100.0%) missing valuesMissing
총인원 has 328 (100.0%) missing valuesMissing
구조사수 has 328 (100.0%) missing valuesMissing
최초지정일자 has 328 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 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 43 (13.1%) zerosZeros
병상수 has 32 (9.8%) zerosZeros
총면적 has 6 (1.8%) zerosZeros

Reproduction

Analysis started2023-12-10 18:35:46.383882
Analysis finished2023-12-10 18:35:47.575420
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct328
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean164.5
Minimum1
Maximum328
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T03:35:47.702315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.35
Q182.75
median164.5
Q3246.25
95-th percentile311.65
Maximum328
Range327
Interquartile range (IQR)163.5

Descriptive statistics

Standard deviation94.829672
Coefficient of variation (CV)0.57647217
Kurtosis-1.2
Mean164.5
Median Absolute Deviation (MAD)82
Skewness0
Sum53956
Variance8992.6667
MonotonicityStrictly increasing
2023-12-11T03:35:47.940139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
227 1
 
0.3%
225 1
 
0.3%
224 1
 
0.3%
223 1
 
0.3%
222 1
 
0.3%
221 1
 
0.3%
220 1
 
0.3%
219 1
 
0.3%
218 1
 
0.3%
Other values (318) 318
97.0%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
328 1
0.3%
327 1
0.3%
326 1
0.3%
325 1
0.3%
324 1
0.3%
323 1
0.3%
322 1
0.3%
321 1
0.3%
320 1
0.3%
319 1
0.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
병원
328 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
병원 328
100.0%

Length

2023-12-11T03:35:48.182184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:48.320426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 328
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
01_01_01_P
328 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01_01_01_P
2nd row01_01_01_P
3rd row01_01_01_P
4th row01_01_01_P
5th row01_01_01_P

Common Values

ValueCountFrequency (%)
01_01_01_P 328
100.0%

Length

2023-12-11T03:35:48.476737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:48.650992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_01_01_p 328
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3449176.8
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T03:35:48.803561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3450000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation21931.067
Coefficient of variation (CV)0.0063583481
Kurtosis-1.0202016
Mean3449176.8
Median Absolute Deviation (MAD)20000
Skewness-0.46158359
Sum1.13133 × 109
Variance4.8097169 × 108
MonotonicityIncreasing
2023-12-11T03:35:49.005748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 78
23.8%
3450000 53
16.2%
3460000 52
15.9%
3410000 36
11.0%
3420000 30
 
9.1%
3440000 27
 
8.2%
3430000 26
 
7.9%
3480000 26
 
7.9%
ValueCountFrequency (%)
3410000 36
11.0%
3420000 30
 
9.1%
3430000 26
 
7.9%
3440000 27
 
8.2%
3450000 53
16.2%
3460000 52
15.9%
3470000 78
23.8%
3480000 26
 
7.9%
ValueCountFrequency (%)
3480000 26
 
7.9%
3470000 78
23.8%
3460000 52
15.9%
3450000 53
16.2%
3440000 27
 
8.2%
3430000 26
 
7.9%
3420000 30
 
9.1%
3410000 36
11.0%

관리번호
Text

UNIQUE 

Distinct328
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T03:35:49.677835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters8200
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

Unique328 ?
Unique (%)100.0%

Sample

1st rowPHMA220173410023021200001
2nd rowPHMA220083410023021200004
3rd rowPHMA220083410023021200003
4th rowPHMA220083410023021200005
5th rowPHMA219743410023021200001
ValueCountFrequency (%)
phma220173410023021200001 1
 
0.3%
phma220183470022021200001 1
 
0.3%
phma219973460023021200002 1
 
0.3%
phma220213460023021200001 1
 
0.3%
phma220223460023021200002 1
 
0.3%
phma220213460023021200002 1
 
0.3%
phma220213460023021200003 1
 
0.3%
phma220203460023021200001 1
 
0.3%
phma220193460023021200002 1
 
0.3%
phma220193460023021200001 1
 
0.3%
Other values (318) 318
97.0%
2023-12-11T03:35:50.266744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2755
33.6%
2 1897
23.1%
1 758
 
9.2%
3 549
 
6.7%
4 426
 
5.2%
P 328
 
4.0%
H 328
 
4.0%
M 328
 
4.0%
A 328
 
4.0%
9 129
 
1.6%
Other values (4) 374
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6888
84.0%
Uppercase Letter 1312
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2755
40.0%
2 1897
27.5%
1 758
 
11.0%
3 549
 
8.0%
4 426
 
6.2%
9 129
 
1.9%
7 125
 
1.8%
5 90
 
1.3%
6 89
 
1.3%
8 70
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
P 328
25.0%
H 328
25.0%
M 328
25.0%
A 328
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6888
84.0%
Latin 1312
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2755
40.0%
2 1897
27.5%
1 758
 
11.0%
3 549
 
8.0%
4 426
 
6.2%
9 129
 
1.9%
7 125
 
1.8%
5 90
 
1.3%
6 89
 
1.3%
8 70
 
1.0%
Latin
ValueCountFrequency (%)
P 328
25.0%
H 328
25.0%
M 328
25.0%
A 328
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2755
33.6%
2 1897
23.1%
1 758
 
9.2%
3 549
 
6.7%
4 426
 
5.2%
P 328
 
4.0%
H 328
 
4.0%
M 328
 
4.0%
A 328
 
4.0%
9 129
 
1.6%
Other values (4) 374
 
4.6%

인허가일자
Real number (ℝ)

Distinct317
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20078962
Minimum19100907
Maximum20220826
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T03:35:50.544174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19100907
5-th percentile19933815
Q120040715
median20085654
Q320140726
95-th percentile20210211
Maximum20220826
Range1119919
Interquartile range (IQR)100011.25

Descriptive statistics

Standard deviation106433.68
Coefficient of variation (CV)0.0053007564
Kurtosis22.933232
Mean20078962
Median Absolute Deviation (MAD)54650
Skewness-3.2349157
Sum6.5858994 × 109
Variance1.1328129 × 1010
MonotonicityNot monotonic
2023-12-11T03:35:50.793484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20071126 3
 
0.9%
19971231 2
 
0.6%
19990701 2
 
0.6%
20090831 2
 
0.6%
20200902 2
 
0.6%
20080912 2
 
0.6%
20121231 2
 
0.6%
20060102 2
 
0.6%
20200116 2
 
0.6%
20030305 2
 
0.6%
Other values (307) 307
93.6%
ValueCountFrequency (%)
19100907 1
0.3%
19620822 1
0.3%
19680406 1
0.3%
19740219 1
0.3%
19760409 1
0.3%
19760515 1
0.3%
19800119 1
0.3%
19800812 1
0.3%
19810820 1
0.3%
19830228 1
0.3%
ValueCountFrequency (%)
20220826 1
0.3%
20220817 1
0.3%
20220722 1
0.3%
20220715 1
0.3%
20220714 1
0.3%
20220530 1
0.3%
20220510 1
0.3%
20220405 1
0.3%
20220324 1
0.3%
20220304 1
0.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing328
Missing (%)100.0%
Memory size3.0 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
1
228 
3
93 
4
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 228
69.5%
3 93
28.4%
4 7
 
2.1%

Length

2023-12-11T03:35:51.029745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:51.201711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 228
69.5%
3 93
28.4%
4 7
 
2.1%

영업상태명
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
영업/정상
228 
폐업
93 
취소/말소/만료/정지/중지
 
7

Length

Max length14
Median length5
Mean length4.3414634
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row취소/말소/만료/정지/중지
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 228
69.5%
폐업 93
28.4%
취소/말소/만료/정지/중지 7
 
2.1%

Length

2023-12-11T03:35:51.378388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:51.575146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 228
69.5%
폐업 93
28.4%
취소/말소/만료/정지/중지 7
 
2.1%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
13
228 
3
93 
24
 
7

Length

Max length2
Median length2
Mean length1.7164634
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row24
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
13 228
69.5%
3 93
28.4%
24 7
 
2.1%

Length

2023-12-11T03:35:51.770190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:51.913984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 228
69.5%
3 93
28.4%
24 7
 
2.1%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
영업중
228 
폐업
93 
직권폐업
 
7

Length

Max length4
Median length3
Mean length2.7378049
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 228
69.5%
폐업 93
28.4%
직권폐업 7
 
2.1%

Length

2023-12-11T03:35:52.098816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:52.288063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 228
69.5%
폐업 93
28.4%
직권폐업 7
 
2.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct97
Distinct (%)97.0%
Missing228
Missing (%)69.5%
Infinite0
Infinite (%)0.0%
Mean20145508
Minimum20051222
Maximum20220811
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T03:35:52.479110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20051222
5-th percentile20081209
Q120111226
median20141220
Q320171040
95-th percentile20211663
Maximum20220811
Range169589
Interquartile range (IQR)59814.75

Descriptive statistics

Standard deviation40670.778
Coefficient of variation (CV)0.0020188509
Kurtosis-0.73849423
Mean20145508
Median Absolute Deviation (MAD)29941
Skewness0.1036226
Sum2.0145508 × 109
Variance1.6541122 × 109
MonotonicityNot monotonic
2023-12-11T03:35:52.710936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160601 2
 
0.6%
20190830 2
 
0.6%
20130128 2
 
0.6%
20140227 1
 
0.3%
20200915 1
 
0.3%
20101201 1
 
0.3%
20181015 1
 
0.3%
20160501 1
 
0.3%
20120229 1
 
0.3%
20130820 1
 
0.3%
Other values (87) 87
 
26.5%
(Missing) 228
69.5%
ValueCountFrequency (%)
20051222 1
0.3%
20080220 1
0.3%
20080616 1
0.3%
20081027 1
0.3%
20081208 1
0.3%
20081209 1
0.3%
20081226 1
0.3%
20081229 1
0.3%
20090330 1
0.3%
20090427 1
0.3%
ValueCountFrequency (%)
20220811 1
0.3%
20220801 1
0.3%
20220628 1
0.3%
20220504 1
0.3%
20220310 1
0.3%
20211208 1
0.3%
20211031 1
0.3%
20210820 1
0.3%
20210523 1
0.3%
20210301 1
0.3%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing322
Missing (%)98.2%
Infinite0
Infinite (%)0.0%
Mean20137234
Minimum20080828
Maximum20210331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T03:35:52.916275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080828
5-th percentile20083221
Q120090433
median20120468
Q320188282
95-th percentile20207975
Maximum20210331
Range129503
Interquartile range (IQR)97849.5

Descriptive statistics

Standard deviation58527.59
Coefficient of variation (CV)0.0029064364
Kurtosis-2.3897099
Mean20137234
Median Absolute Deviation (MAD)34853.5
Skewness0.39944228
Sum1.208234 × 108
Variance3.4254788 × 109
MonotonicityNot monotonic
2023-12-11T03:35:53.112764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20210331 1
 
0.3%
20090401 1
 
0.3%
20150408 1
 
0.3%
20200907 1
 
0.3%
20080828 1
 
0.3%
20090528 1
 
0.3%
(Missing) 322
98.2%
ValueCountFrequency (%)
20080828 1
0.3%
20090401 1
0.3%
20090528 1
0.3%
20150408 1
0.3%
20200907 1
0.3%
20210331 1
0.3%
ValueCountFrequency (%)
20210331 1
0.3%
20200907 1
0.3%
20150408 1
0.3%
20090528 1
0.3%
20090401 1
0.3%
20080828 1
0.3%

휴업종료일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
323 
20210930
 
1
20090430
 
1
20160407
 
1
20220801
 
1

Length

Max length8
Median length4
Mean length4.0609756
Min length4

Unique

Unique5 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 323
98.5%
20210930 1
 
0.3%
20090430 1
 
0.3%
20160407 1
 
0.3%
20220801 1
 
0.3%
20091228 1
 
0.3%

Length

2023-12-11T03:35:53.326116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:53.513110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 323
98.5%
20210930 1
 
0.3%
20090430 1
 
0.3%
20160407 1
 
0.3%
20220801 1
 
0.3%
20091228 1
 
0.3%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing328
Missing (%)100.0%
Memory size3.0 KiB

소재지전화
Text

MISSING 

Distinct297
Distinct (%)95.2%
Missing16
Missing (%)4.9%
Memory size2.7 KiB
2023-12-11T03:35:53.902240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length11.451923
Min length7

Characters and Unicode

Total characters3573
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

Unique282 ?
Unique (%)90.4%

Sample

1st row053-426-6000
2nd row053-431-1119
3rd row053-383-9119
4th row252-4701
5th row0537193399
ValueCountFrequency (%)
763-0200 2
 
0.6%
053-657-2111 2
 
0.6%
053-951-9119 2
 
0.6%
053-749-0000 2
 
0.6%
053-551-9119 2
 
0.6%
053-632-0808 2
 
0.6%
053-572-1100 2
 
0.6%
053-659-7000 2
 
0.6%
053-640-8000 2
 
0.6%
053-716-7300 2
 
0.6%
Other values (288) 293
93.6%
2023-12-11T03:35:54.589231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 806
22.6%
- 552
15.4%
5 531
14.9%
3 413
11.6%
1 268
 
7.5%
7 258
 
7.2%
2 197
 
5.5%
6 193
 
5.4%
9 143
 
4.0%
4 105
 
2.9%
Other values (3) 107
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3019
84.5%
Dash Punctuation 552
 
15.4%
Other Punctuation 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 806
26.7%
5 531
17.6%
3 413
13.7%
1 268
 
8.9%
7 258
 
8.5%
2 197
 
6.5%
6 193
 
6.4%
9 143
 
4.7%
4 105
 
3.5%
8 105
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 552
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3573
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 806
22.6%
- 552
15.4%
5 531
14.9%
3 413
11.6%
1 268
 
7.5%
7 258
 
7.2%
2 197
 
5.5%
6 193
 
5.4%
9 143
 
4.0%
4 105
 
2.9%
Other values (3) 107
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3573
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 806
22.6%
- 552
15.4%
5 531
14.9%
3 413
11.6%
1 268
 
7.5%
7 258
 
7.2%
2 197
 
5.5%
6 193
 
5.4%
9 143
 
4.0%
4 105
 
2.9%
Other values (3) 107
 
3.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing328
Missing (%)100.0%
Memory size3.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct103
Distinct (%)76.3%
Missing193
Missing (%)58.8%
Infinite0
Infinite (%)0.0%
Mean704932.5
Minimum700113
Maximum711863
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T03:35:54.842959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700113
5-th percentile700819
Q1702898
median704825
Q3706032
95-th percentile711839
Maximum711863
Range11750
Interquartile range (IQR)3134

Descriptive statistics

Standard deviation2705.4508
Coefficient of variation (CV)0.0038378863
Kurtosis1.332902
Mean704932.5
Median Absolute Deviation (MAD)1345
Skewness0.94153047
Sum95165888
Variance7319464.1
MonotonicityNot monotonic
2023-12-11T03:35:55.083594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
705813 4
 
1.2%
711839 4
 
1.2%
704808 4
 
1.2%
704807 3
 
0.9%
700819 3
 
0.9%
700421 3
 
0.9%
706840 2
 
0.6%
706803 2
 
0.6%
702865 2
 
0.6%
704834 2
 
0.6%
Other values (93) 106
32.3%
(Missing) 193
58.8%
ValueCountFrequency (%)
700113 2
0.6%
700421 3
0.9%
700802 1
 
0.3%
700819 3
0.9%
701110 1
 
0.3%
701260 1
 
0.3%
701818 1
 
0.3%
701839 1
 
0.3%
701846 1
 
0.3%
701849 1
 
0.3%
ValueCountFrequency (%)
711863 1
 
0.3%
711860 1
 
0.3%
711852 1
 
0.3%
711850 1
 
0.3%
711839 4
1.2%
711830 1
 
0.3%
711812 2
0.6%
706852 2
0.6%
706841 1
 
0.3%
706840 2
0.6%

소재지전체주소
Text

MISSING 

Distinct244
Distinct (%)94.2%
Missing69
Missing (%)21.0%
Memory size2.7 KiB
2023-12-11T03:35:55.558697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length38
Mean length23.185328
Min length10

Characters and Unicode

Total characters6005
Distinct characters169
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique234 ?
Unique (%)90.3%

Sample

1st row대구광역시 중구 태평로3가 171번지 1호
2nd row대구광역시 중구 대신동 1450번지 1호
3rd row대구광역시 중구 태평로3가 171번지 1호
4th row대구광역시 중구 대신동 1450번지 1호
5th row대구광역시 중구 남산2동 937-1
ValueCountFrequency (%)
대구광역시 255
 
20.3%
달서구 62
 
4.9%
1호 46
 
3.7%
수성구 44
 
3.5%
북구 32
 
2.5%
중구 28
 
2.2%
서구 25
 
2.0%
달성군 23
 
1.8%
남구 19
 
1.5%
3호 15
 
1.2%
Other values (444) 710
56.4%
2023-12-11T03:35:56.306571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1007
16.8%
구 490
 
8.2%
1 309
 
5.1%
대 288
 
4.8%
시 262
 
4.4%
동 261
 
4.3%
광 258
 
4.3%
역 256
 
4.3%
지 193
 
3.2%
번 173
 
2.9%
Other values (159) 2508
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3517
58.6%
Decimal Number 1299
 
21.6%
Space Separator 1007
 
16.8%
Dash Punctuation 74
 
1.2%
Other Punctuation 48
 
0.8%
Math Symbol 22
 
0.4%
Close Punctuation 18
 
0.3%
Open Punctuation 18
 
0.3%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 490
13.9%
대 288
 
8.2%
시 262
 
7.4%
동 261
 
7.4%
광 258
 
7.3%
역 256
 
7.3%
지 193
 
5.5%
번 173
 
4.9%
호 150
 
4.3%
성 91
 
2.6%
Other values (140) 1095
31.1%
Decimal Number
ValueCountFrequency (%)
1 309
23.8%
2 164
12.6%
3 146
11.2%
6 123
 
9.5%
5 120
 
9.2%
4 116
 
8.9%
7 87
 
6.7%
0 86
 
6.6%
8 75
 
5.8%
9 73
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 44
91.7%
. 4
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
J 1
50.0%
M 1
50.0%
Space Separator
ValueCountFrequency (%)
1007
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%
Math Symbol
ValueCountFrequency (%)
~ 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3517
58.6%
Common 2486
41.4%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 490
13.9%
대 288
 
8.2%
시 262
 
7.4%
동 261
 
7.4%
광 258
 
7.3%
역 256
 
7.3%
지 193
 
5.5%
번 173
 
4.9%
호 150
 
4.3%
성 91
 
2.6%
Other values (140) 1095
31.1%
Common
ValueCountFrequency (%)
1007
40.5%
1 309
 
12.4%
2 164
 
6.6%
3 146
 
5.9%
6 123
 
4.9%
5 120
 
4.8%
4 116
 
4.7%
7 87
 
3.5%
0 86
 
3.5%
8 75
 
3.0%
Other values (7) 253
 
10.2%
Latin
ValueCountFrequency (%)
J 1
50.0%
M 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3517
58.6%
ASCII 2488
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1007
40.5%
1 309
 
12.4%
2 164
 
6.6%
3 146
 
5.9%
6 123
 
4.9%
5 120
 
4.8%
4 116
 
4.7%
7 87
 
3.5%
0 86
 
3.5%
8 75
 
3.0%
Other values (9) 255
 
10.2%
Hangul
ValueCountFrequency (%)
구 490
13.9%
대 288
 
8.2%
시 262
 
7.4%
동 261
 
7.4%
광 258
 
7.3%
역 256
 
7.3%
지 193
 
5.5%
번 173
 
4.9%
호 150
 
4.3%
성 91
 
2.6%
Other values (140) 1095
31.1%

도로명전체주소
Text

MISSING 

Distinct293
Distinct (%)92.1%
Missing10
Missing (%)3.0%
Memory size2.7 KiB
2023-12-11T03:35:56.961390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length27.663522
Min length20

Characters and Unicode

Total characters8797
Distinct characters225
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique274 ?
Unique (%)86.2%

Sample

1st row대구광역시 중구 태평로 39 (태평로3가)
2nd row대구광역시 중구 달구벌대로 1929 (대신동)
3rd row대구광역시 중구 태평로 39 (태평로3가)
4th row대구광역시 중구 달구벌대로 1929 (대신동)
5th row대구광역시 중구 이천로 236 (봉산동)
ValueCountFrequency (%)
대구광역시 319
 
18.1%
달서구 78
 
4.4%
수성구 52
 
2.9%
북구 49
 
2.8%
달구벌대로 43
 
2.4%
중구 34
 
1.9%
동구 28
 
1.6%
남구 27
 
1.5%
서구 26
 
1.5%
월배로 25
 
1.4%
Other values (553) 1086
61.5%
2023-12-11T03:35:57.880059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1449
 
16.5%
구 686
 
7.8%
대 464
 
5.3%
동 387
 
4.4%
시 326
 
3.7%
역 321
 
3.6%
로 321
 
3.6%
광 321
 
3.6%
) 306
 
3.5%
( 306
 
3.5%
Other values (215) 3910
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5134
58.4%
Space Separator 1449
 
16.5%
Decimal Number 1299
 
14.8%
Close Punctuation 306
 
3.5%
Open Punctuation 306
 
3.5%
Other Punctuation 227
 
2.6%
Math Symbol 59
 
0.7%
Dash Punctuation 14
 
0.2%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 686
 
13.4%
대 464
 
9.0%
동 387
 
7.5%
시 326
 
6.3%
역 321
 
6.3%
로 321
 
6.3%
광 321
 
6.3%
달 154
 
3.0%
층 126
 
2.5%
성 121
 
2.4%
Other values (196) 1907
37.1%
Decimal Number
ValueCountFrequency (%)
1 291
22.4%
2 207
15.9%
3 135
10.4%
5 115
 
8.9%
4 113
 
8.7%
6 108
 
8.3%
7 102
 
7.9%
0 81
 
6.2%
9 78
 
6.0%
8 69
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
J 1
33.3%
M 1
33.3%
G 1
33.3%
Space Separator
ValueCountFrequency (%)
1449
100.0%
Close Punctuation
ValueCountFrequency (%)
) 306
100.0%
Open Punctuation
ValueCountFrequency (%)
( 306
100.0%
Other Punctuation
ValueCountFrequency (%)
, 227
100.0%
Math Symbol
ValueCountFrequency (%)
~ 59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5134
58.4%
Common 3660
41.6%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 686
 
13.4%
대 464
 
9.0%
동 387
 
7.5%
시 326
 
6.3%
역 321
 
6.3%
로 321
 
6.3%
광 321
 
6.3%
달 154
 
3.0%
층 126
 
2.5%
성 121
 
2.4%
Other values (196) 1907
37.1%
Common
ValueCountFrequency (%)
1449
39.6%
) 306
 
8.4%
( 306
 
8.4%
1 291
 
8.0%
, 227
 
6.2%
2 207
 
5.7%
3 135
 
3.7%
5 115
 
3.1%
4 113
 
3.1%
6 108
 
3.0%
Other values (6) 403
 
11.0%
Latin
ValueCountFrequency (%)
J 1
33.3%
M 1
33.3%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5134
58.4%
ASCII 3663
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1449
39.6%
) 306
 
8.4%
( 306
 
8.4%
1 291
 
7.9%
, 227
 
6.2%
2 207
 
5.7%
3 135
 
3.7%
5 115
 
3.1%
4 113
 
3.1%
6 108
 
2.9%
Other values (9) 406
 
11.1%
Hangul
ValueCountFrequency (%)
구 686
 
13.4%
대 464
 
9.0%
동 387
 
7.5%
시 326
 
6.3%
역 321
 
6.3%
로 321
 
6.3%
광 321
 
6.3%
달 154
 
3.0%
층 126
 
2.5%
성 121
 
2.4%
Other values (196) 1907
37.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct217
Distinct (%)74.6%
Missing37
Missing (%)11.3%
Infinite0
Infinite (%)0.0%
Mean126426.52
Minimum41005
Maximum711870
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T03:35:58.121471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41005
5-th percentile41198.5
Q141774
median42268
Q342781
95-th percentile704915
Maximum711870
Range670865
Interquartile range (IQR)1007

Descriptive statistics

Standard deviation221272.95
Coefficient of variation (CV)1.75021
Kurtosis3.0844881
Mean126426.52
Median Absolute Deviation (MAD)503
Skewness2.2501237
Sum36790116
Variance4.8961721 × 1010
MonotonicityNot monotonic
2023-12-11T03:35:58.410943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41535 4
 
1.2%
42784 4
 
1.2%
41940 4
 
1.2%
42639 3
 
0.9%
41422 3
 
0.9%
42781 3
 
0.9%
42788 3
 
0.9%
42818 3
 
0.9%
42770 3
 
0.9%
42642 3
 
0.9%
Other values (207) 258
78.7%
(Missing) 37
 
11.3%
ValueCountFrequency (%)
41005 1
0.3%
41027 2
0.6%
41051 1
0.3%
41083 1
0.3%
41085 1
0.3%
41113 1
0.3%
41117 1
0.3%
41128 1
0.3%
41145 2
0.6%
41153 1
0.3%
ValueCountFrequency (%)
711870 1
0.3%
711865 1
0.3%
711830 2
0.6%
711812 1
0.3%
706840 1
0.3%
706828 1
0.3%
706041 1
0.3%
705818 1
0.3%
705813 2
0.6%
705806 1
0.3%

사업장명
Text

Distinct306
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T03:35:58.792829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length7.6432927
Min length3

Characters and Unicode

Total characters2507
Distinct characters262
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

Unique290 ?
Unique (%)88.4%

Sample

1st row행복한재활요양병원
2nd row대구효도요양병원
3rd row행복한재활요양병원
4th row대구효도요양병원
5th row대구적십자병원
ValueCountFrequency (%)
의료법인 6
 
1.6%
라온치과병원 5
 
1.4%
수월한방병원 3
 
0.8%
행복한재활요양병원 3
 
0.8%
대구효도요양병원 3
 
0.8%
한영한마음아동병원 2
 
0.5%
의료법인명문의료재단 2
 
0.5%
의료법인상보의료재단 2
 
0.5%
효민의료재단 2
 
0.5%
대구병원 2
 
0.5%
Other values (322) 335
91.8%
2023-12-11T03:35:59.442845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 333
 
13.3%
병 327
 
13.0%
양 112
 
4.5%
요 112
 
4.5%
대 72
 
2.9%
의 69
 
2.8%
료 62
 
2.5%
한 54
 
2.2%
성 47
 
1.9%
구 46
 
1.8%
Other values (252) 1273
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2439
97.3%
Space Separator 38
 
1.5%
Decimal Number 10
 
0.4%
Uppercase Letter 7
 
0.3%
Open Punctuation 6
 
0.2%
Close Punctuation 6
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 333
 
13.7%
병 327
 
13.4%
양 112
 
4.6%
요 112
 
4.6%
대 72
 
3.0%
의 69
 
2.8%
료 62
 
2.5%
한 54
 
2.2%
성 47
 
1.9%
구 46
 
1.9%
Other values (240) 1205
49.4%
Uppercase Letter
ValueCountFrequency (%)
M 2
28.6%
S 2
28.6%
U 1
14.3%
W 1
14.3%
K 1
14.3%
Decimal Number
ValueCountFrequency (%)
0 6
60.0%
1 3
30.0%
4 1
 
10.0%
Space Separator
ValueCountFrequency (%)
38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2439
97.3%
Common 60
 
2.4%
Latin 8
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 333
 
13.7%
병 327
 
13.4%
양 112
 
4.6%
요 112
 
4.6%
대 72
 
3.0%
의 69
 
2.8%
료 62
 
2.5%
한 54
 
2.2%
성 47
 
1.9%
구 46
 
1.9%
Other values (240) 1205
49.4%
Common
ValueCountFrequency (%)
38
63.3%
( 6
 
10.0%
) 6
 
10.0%
0 6
 
10.0%
1 3
 
5.0%
4 1
 
1.7%
Latin
ValueCountFrequency (%)
M 2
25.0%
S 2
25.0%
U 1
12.5%
W 1
12.5%
K 1
12.5%
e 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2439
97.3%
ASCII 68
 
2.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 333
 
13.7%
병 327
 
13.4%
양 112
 
4.6%
요 112
 
4.6%
대 72
 
3.0%
의 69
 
2.8%
료 62
 
2.5%
한 54
 
2.2%
성 47
 
1.9%
구 46
 
1.9%
Other values (240) 1205
49.4%
ASCII
ValueCountFrequency (%)
38
55.9%
( 6
 
8.8%
) 6
 
8.8%
0 6
 
8.8%
1 3
 
4.4%
M 2
 
2.9%
S 2
 
2.9%
U 1
 
1.5%
W 1
 
1.5%
4 1
 
1.5%
Other values (2) 2
 
2.9%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct328
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0192769 × 1013
Minimum2.0081114 × 1013
Maximum2.022083 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T03:35:59.694599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0081114 × 1013
5-th percentile2.0110742 × 1013
Q12.0180769 × 1013
median2.0210528 × 1013
Q32.0220613 × 1013
95-th percentile2.0220823 × 1013
Maximum2.022083 × 1013
Range1.3971599 × 1011
Interquartile range (IQR)3.9843974 × 1010

Descriptive statistics

Standard deviation3.7390373 × 1010
Coefficient of variation (CV)0.0018516714
Kurtosis0.85549344
Mean2.0192769 × 1013
Median Absolute Deviation (MAD)1.0274974 × 1010
Skewness-1.4148459
Sum6.6232283 × 1015
Variance1.39804 × 1021
MonotonicityNot monotonic
2023-12-11T03:35:59.978306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220812173937 1
 
0.3%
20190923092934 1
 
0.3%
20211221165302 1
 
0.3%
20150217092052 1
 
0.3%
20100122143300 1
 
0.3%
20220311095147 1
 
0.3%
20220826091542 1
 
0.3%
20220705132421 1
 
0.3%
20220323091659 1
 
0.3%
20210126155439 1
 
0.3%
Other values (318) 318
97.0%
ValueCountFrequency (%)
20081114175422 1
0.3%
20081209094701 1
0.3%
20081229101208 1
0.3%
20090330142646 1
0.3%
20090414095758 1
0.3%
20090427110632 1
0.3%
20090508094045 1
0.3%
20090521105800 1
0.3%
20090710092944 1
0.3%
20091221161820 1
0.3%
ValueCountFrequency (%)
20220830164049 1
0.3%
20220830162551 1
0.3%
20220829181303 1
0.3%
20220829175520 1
0.3%
20220829124648 1
0.3%
20220829105245 1
0.3%
20220829105235 1
0.3%
20220826165352 1
0.3%
20220826165106 1
0.3%
20220826091542 1
0.3%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
U
243 
I
85 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 243
74.1%
I 85
 
25.9%

Length

2023-12-11T03:36:00.246872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:36:00.551487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 243
74.1%
i 85
 
25.9%

데이터갱신일자
Date

Distinct172
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2018-08-31 23:59:59
Maximum2022-09-01 02:40:00
2023-12-11T03:36:00.843297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:36:01.160127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct6
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
병원
147 
요양병원(일반요양병원)
113 
치과병원
26 
한방병원
22 
종합병원
19 

Length

Max length12
Median length10
Mean length5.8780488
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row요양병원(일반요양병원)
2nd row요양병원(일반요양병원)
3rd row요양병원(일반요양병원)
4th row요양병원(일반요양병원)
5th row병원

Common Values

ValueCountFrequency (%)
병원 147
44.8%
요양병원(일반요양병원) 113
34.5%
치과병원 26
 
7.9%
한방병원 22
 
6.7%
종합병원 19
 
5.8%
요양병원(정신병원) 1
 
0.3%

Length

2023-12-11T03:36:01.435745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:36:01.646135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 147
44.8%
요양병원(일반요양병원 113
34.5%
치과병원 26
 
7.9%
한방병원 22
 
6.7%
종합병원 19
 
5.8%
요양병원(정신병원 1
 
0.3%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct246
Distinct (%)83.1%
Missing32
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean342612.92
Minimum329067.64
Maximum355866.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T03:36:01.886832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum329067.64
5-th percentile334924.37
Q1339791.58
median342121.31
Q3345694.98
95-th percentile350124.98
Maximum355866.66
Range26799.013
Interquartile range (IQR)5903.3979

Descriptive statistics

Standard deviation4782.6194
Coefficient of variation (CV)0.01395925
Kurtosis0.75438791
Mean342612.92
Median Absolute Deviation (MAD)2998.2597
Skewness0.13826945
Sum1.0141343 × 108
Variance22873448
MonotonicityNot monotonic
2023-12-11T03:36:02.127488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
334924.366071 5
 
1.5%
354779.192188 3
 
0.9%
332431.324532 3
 
0.9%
340530.466583 3
 
0.9%
338334.970705 3
 
0.9%
345942.087783 3
 
0.9%
347561.474334 3
 
0.9%
342218.505201 3
 
0.9%
339652.783262 3
 
0.9%
342814.745233 3
 
0.9%
Other values (236) 264
80.5%
(Missing) 32
 
9.8%
ValueCountFrequency (%)
329067.641978 1
 
0.3%
330079.993973 1
 
0.3%
330287.160802 1
 
0.3%
330712.904909 1
 
0.3%
331395.630779 1
 
0.3%
331608.0 1
 
0.3%
331862.0 1
 
0.3%
332216.869027 1
 
0.3%
332431.324532 3
0.9%
332457.450311 1
 
0.3%
ValueCountFrequency (%)
355866.655284 1
 
0.3%
354779.192188 3
0.9%
354775.215568 1
 
0.3%
354700.751634 1
 
0.3%
354657.903918 1
 
0.3%
354504.881098 1
 
0.3%
354377.74441 1
 
0.3%
354359.33395 1
 
0.3%
354045.591625 1
 
0.3%
353999.548196 1
 
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct246
Distinct (%)83.1%
Missing32
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean262943.85
Minimum244558
Maximum274628.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T03:36:02.370262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244558
5-th percentile257109.49
Q1260981.22
median262985.12
Q3265016.35
95-th percentile270564.4
Maximum274628.02
Range30070.023
Interquartile range (IQR)4035.1283

Descriptive statistics

Standard deviation4358.7154
Coefficient of variation (CV)0.016576601
Kurtosis4.2864884
Mean262943.85
Median Absolute Deviation (MAD)2031.66
Skewness-0.88105398
Sum77831380
Variance18998400
MonotonicityNot monotonic
2023-12-11T03:36:03.049087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
256766.769218 5
 
1.5%
264180.815335 3
 
0.9%
262897.94004 3
 
0.9%
260772.414074 3
 
0.9%
258421.914949 3
 
0.9%
262756.685449 3
 
0.9%
259874.87541 3
 
0.9%
263701.598896 3
 
0.9%
269449.810239 3
 
0.9%
265335.083397 3
 
0.9%
Other values (236) 264
80.5%
(Missing) 32
 
9.8%
ValueCountFrequency (%)
244558.0 1
 
0.3%
244625.0 1
 
0.3%
244719.0 1
 
0.3%
245397.659465 1
 
0.3%
247765.264752 1
 
0.3%
248655.029585 1
 
0.3%
249749.208649 1
 
0.3%
251170.945308 1
 
0.3%
253997.751824 1
 
0.3%
256766.769218 5
1.5%
ValueCountFrequency (%)
274628.022817 1
0.3%
274001.175164 1
0.3%
273400.631796 1
0.3%
272633.741088 2
0.6%
272557.056726 1
0.3%
272531.810874 1
0.3%
272505.366926 1
0.3%
272264.382195 1
0.3%
272207.765948 2
0.6%
272190.698253 1
0.3%

의료기관종별명
Categorical

Distinct6
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
병원
147 
요양병원(일반요양병원)
113 
치과병원
26 
한방병원
22 
종합병원
19 

Length

Max length12
Median length10
Mean length5.8780488
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row요양병원(일반요양병원)
2nd row요양병원(일반요양병원)
3rd row요양병원(일반요양병원)
4th row요양병원(일반요양병원)
5th row병원

Common Values

ValueCountFrequency (%)
병원 147
44.8%
요양병원(일반요양병원) 113
34.5%
치과병원 26
 
7.9%
한방병원 22
 
6.7%
종합병원 19
 
5.8%
요양병원(정신병원) 1
 
0.3%

Length

2023-12-11T03:36:03.293134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:36:03.501519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 147
44.8%
요양병원(일반요양병원 113
34.5%
치과병원 26
 
7.9%
한방병원 22
 
6.7%
종합병원 19
 
5.8%
요양병원(정신병원 1
 
0.3%

의료인수
Real number (ℝ)

Distinct84
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.182927
Minimum0
Maximum1893
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T03:36:03.720628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median18
Q332.25
95-th percentile119.3
Maximum1893
Range1893
Interquartile range (IQR)25.25

Descriptive statistics

Standard deviation192.30977
Coefficient of variation (CV)3.6853006
Kurtosis64.872906
Mean52.182927
Median Absolute Deviation (MAD)12
Skewness7.8498692
Sum17116
Variance36983.049
MonotonicityNot monotonic
2023-12-11T03:36:04.027794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 21
 
6.4%
4 15
 
4.6%
17 15
 
4.6%
20 13
 
4.0%
1 13
 
4.0%
5 11
 
3.4%
7 11
 
3.4%
12 10
 
3.0%
8 9
 
2.7%
19 9
 
2.7%
Other values (74) 201
61.3%
ValueCountFrequency (%)
0 1
 
0.3%
1 13
4.0%
2 21
6.4%
3 9
2.7%
4 15
4.6%
5 11
3.4%
6 2
 
0.6%
7 11
3.4%
8 9
2.7%
9 8
 
2.4%
ValueCountFrequency (%)
1893 1
0.3%
1744 1
0.3%
1671 1
0.3%
1351 1
0.3%
802 1
0.3%
614 1
0.3%
358 1
0.3%
259 1
0.3%
207 1
0.3%
181 1
0.3%

입원실수
Real number (ℝ)

ZEROS 

Distinct81
Distinct (%)24.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.771341
Minimum0
Maximum301
Zeros43
Zeros (%)13.1%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T03:36:04.377280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median26.5
Q338
95-th percentile71.65
Maximum301
Range301
Interquartile range (IQR)23

Descriptive statistics

Standard deviation36.773538
Coefficient of variation (CV)1.1574437
Kurtosis23.150691
Mean31.771341
Median Absolute Deviation (MAD)11.5
Skewness4.2280397
Sum10421
Variance1352.2931
MonotonicityNot monotonic
2023-12-11T03:36:04.654900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43
 
13.1%
16 12
 
3.7%
33 11
 
3.4%
28 10
 
3.0%
29 9
 
2.7%
24 9
 
2.7%
21 8
 
2.4%
32 8
 
2.4%
25 8
 
2.4%
20 8
 
2.4%
Other values (71) 202
61.6%
ValueCountFrequency (%)
0 43
13.1%
3 1
 
0.3%
4 2
 
0.6%
5 1
 
0.3%
6 3
 
0.9%
7 2
 
0.6%
8 4
 
1.2%
9 2
 
0.6%
10 7
 
2.1%
11 4
 
1.2%
ValueCountFrequency (%)
301 1
0.3%
279 1
0.3%
235 1
0.3%
230 1
0.3%
211 1
0.3%
210 1
0.3%
200 1
0.3%
136 1
0.3%
112 1
0.3%
93 1
0.3%

병상수
Real number (ℝ)

ZEROS 

Distinct170
Distinct (%)51.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.6311
Minimum0
Maximum1005
Zeros32
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T03:36:04.917992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q154.75
median117
Q3195.5
95-th percentile299
Maximum1005
Range1005
Interquartile range (IQR)140.75

Descriptive statistics

Standard deviation138.18463
Coefficient of variation (CV)0.97566588
Kurtosis16.595166
Mean141.6311
Median Absolute Deviation (MAD)71
Skewness3.3046219
Sum46455
Variance19094.992
MonotonicityNot monotonic
2023-12-11T03:36:05.290920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
9.8%
30 11
 
3.4%
99 10
 
3.0%
199 10
 
3.0%
200 7
 
2.1%
70 7
 
2.1%
150 6
 
1.8%
38 5
 
1.5%
188 4
 
1.2%
183 4
 
1.2%
Other values (160) 232
70.7%
ValueCountFrequency (%)
0 32
9.8%
3 1
 
0.3%
12 1
 
0.3%
15 1
 
0.3%
29 1
 
0.3%
30 11
 
3.4%
32 1
 
0.3%
33 1
 
0.3%
34 1
 
0.3%
35 1
 
0.3%
ValueCountFrequency (%)
1005 1
0.3%
998 1
0.3%
949 1
0.3%
908 1
0.3%
874 1
0.3%
675 1
0.3%
465 1
0.3%
460 1
0.3%
380 1
0.3%
362 1
0.3%

총면적
Real number (ℝ)

ZEROS 

Distinct315
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5998.6315
Minimum0
Maximum179152
Zeros6
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T03:36:05.539675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile656.155
Q11920.7875
median3089.75
Q34871.41
95-th percentile11464.081
Maximum179152
Range179152
Interquartile range (IQR)2950.6225

Descriptive statistics

Standard deviation15557.991
Coefficient of variation (CV)2.5935901
Kurtosis67.083102
Mean5998.6315
Median Absolute Deviation (MAD)1471.28
Skewness7.6561252
Sum1967551.1
Variance2.4205109 × 108
MonotonicityNot monotonic
2023-12-11T03:36:05.824275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
1.8%
2154.59 3
 
0.9%
2820.0 2
 
0.6%
1236.88 2
 
0.6%
3802.0 2
 
0.6%
4017.87 2
 
0.6%
3394.45 2
 
0.6%
2534.19 2
 
0.6%
4901.0 1
 
0.3%
1476.28 1
 
0.3%
Other values (305) 305
93.0%
ValueCountFrequency (%)
0.0 6
1.8%
255.9 1
 
0.3%
401.42 1
 
0.3%
413.73 1
 
0.3%
489.0 1
 
0.3%
570.51 1
 
0.3%
571.24 1
 
0.3%
577.6 1
 
0.3%
596.0 1
 
0.3%
625.79 1
 
0.3%
ValueCountFrequency (%)
179152.0 1
0.3%
129089.93 1
0.3%
95604.71 1
0.3%
94885.0 1
0.3%
88242.76 1
0.3%
61590.0 1
0.3%
57517.49 1
0.3%
35776.48 1
0.3%
24795.12 1
0.3%
20246.0 1
0.3%

진료과목내용
Text

Distinct297
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T03:36:06.231001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length127
Median length79
Mean length29.426829
Min length3

Characters and Unicode

Total characters9652
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

Unique280 ?
Unique (%)85.4%

Sample

1st row308 306 301 122 120 104 102 101
2nd row101 104 115 122
3rd row106 101 120 122 105 104 111 102 109 301
4th row101 104 105 115 120 122 301
5th row101 102 104 105 110 111 122
ValueCountFrequency (%)
101 263
 
10.6%
122 172
 
6.9%
102 148
 
5.9%
104 147
 
5.9%
105 140
 
5.6%
120 126
 
5.1%
301 123
 
4.9%
106 113
 
4.5%
109 105
 
4.2%
111 102
 
4.1%
Other values (44) 1049
42.2%
2023-12-11T03:36:06.947907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2793
28.9%
2160
22.4%
0 1877
19.4%
2 745
 
7.7%
3 676
 
7.0%
4 454
 
4.7%
6 283
 
2.9%
5 275
 
2.8%
9 153
 
1.6%
8 145
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7492
77.6%
Space Separator 2160
 
22.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2793
37.3%
0 1877
25.1%
2 745
 
9.9%
3 676
 
9.0%
4 454
 
6.1%
6 283
 
3.8%
5 275
 
3.7%
9 153
 
2.0%
8 145
 
1.9%
7 91
 
1.2%
Space Separator
ValueCountFrequency (%)
2160
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9652
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2793
28.9%
2160
22.4%
0 1877
19.4%
2 745
 
7.7%
3 676
 
7.0%
4 454
 
4.7%
6 283
 
2.9%
5 275
 
2.8%
9 153
 
1.6%
8 145
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9652
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2793
28.9%
2160
22.4%
0 1877
19.4%
2 745
 
7.7%
3 676
 
7.0%
4 454
 
4.7%
6 283
 
2.9%
5 275
 
2.8%
9 153
 
1.6%
8 145
 
1.5%

진료과목내용명
Text

Distinct281
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T03:36:07.401860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length209
Median length87
Mean length46.597561
Min length2

Characters and Unicode

Total characters15284
Distinct characters70
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique258 ?
Unique (%)78.7%

Sample

1st row내과, 신경과, 외과, 재활의학과, 가정의학과, 한방내과, 한방재활의학과, 침구과
2nd row내과, 외과, 비뇨의학과, 가정의학과
3rd row내과, 신경과, 외과, 정형외과, 신경외과, 마취통증의학과, 소아청소년과, 재활의학과, 가정의학과, 한방내과
4th row내과, 외과, 정형외과, 비뇨의학과, 재활의학과, 가정의학과, 한방내과
5th row내과, 신경과, 외과, 정형외과, 산부인과, 소아청소년과, 가정의학과
ValueCountFrequency (%)
내과 263
 
10.6%
가정의학과 172
 
6.9%
신경과 148
 
6.0%
외과 147
 
5.9%
정형외과 140
 
5.6%
재활의학과 126
 
5.1%
한방내과 123
 
5.0%
신경외과 113
 
4.6%
마취통증의학과 105
 
4.2%
소아청소년과 102
 
4.1%
Other values (37) 1042
42.0%
2023-12-11T03:36:08.024861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 2543
16.6%
, 2153
14.1%
2153
14.1%
학 724
 
4.7%
의 718
 
4.7%
외 449
 
2.9%
정 433
 
2.8%
신 415
 
2.7%
내 403
 
2.6%
방 392
 
2.6%
Other values (60) 4901
32.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10884
71.2%
Other Punctuation 2247
 
14.7%
Space Separator 2153
 
14.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 2543
23.4%
학 724
 
6.7%
의 718
 
6.6%
외 449
 
4.1%
정 433
 
4.0%
신 415
 
3.8%
내 403
 
3.7%
방 392
 
3.6%
한 372
 
3.4%
경 319
 
2.9%
Other values (57) 4116
37.8%
Other Punctuation
ValueCountFrequency (%)
, 2153
95.8%
· 94
 
4.2%
Space Separator
ValueCountFrequency (%)
2153
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10884
71.2%
Common 4400
28.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 2543
23.4%
학 724
 
6.7%
의 718
 
6.6%
외 449
 
4.1%
정 433
 
4.0%
신 415
 
3.8%
내 403
 
3.7%
방 392
 
3.6%
한 372
 
3.4%
경 319
 
2.9%
Other values (57) 4116
37.8%
Common
ValueCountFrequency (%)
, 2153
48.9%
2153
48.9%
· 94
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10884
71.2%
ASCII 4306
 
28.2%
None 94
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 2543
23.4%
학 724
 
6.7%
의 718
 
6.6%
외 449
 
4.1%
정 433
 
4.0%
신 415
 
3.8%
내 403
 
3.7%
방 392
 
3.6%
한 372
 
3.4%
경 319
 
2.9%
Other values (57) 4116
37.8%
ASCII
ValueCountFrequency (%)
, 2153
50.0%
2153
50.0%
None
ValueCountFrequency (%)
· 94
100.0%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing328
Missing (%)100.0%
Memory size3.0 KiB

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing328
Missing (%)100.0%
Memory size3.0 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing328
Missing (%)100.0%
Memory size3.0 KiB

구급차특수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
0
328 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 328
100.0%

Length

2023-12-11T03:36:08.260062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:36:08.420509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 328
100.0%

구급차일반
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
0
328 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 328
100.0%

Length

2023-12-11T03:36:08.583546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:36:08.737788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 328
100.0%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing328
Missing (%)100.0%
Memory size3.0 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing328
Missing (%)100.0%
Memory size3.0 KiB

허가병상수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
0
328 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 328
100.0%

Length

2023-12-11T03:36:08.931600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:36:09.177190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 328
100.0%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing328
Missing (%)100.0%
Memory size3.0 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
01병원01_01_01_P3410000PHMA22017341002302120000120170315<NA>3폐업3폐업20200828<NA><NA><NA>053-426-6000<NA><NA>대구광역시 중구 태평로3가 171번지 1호대구광역시 중구 태평로 39 (태평로3가)41901행복한재활요양병원20220812173937U2022-08-14 02:40:00.0요양병원(일반요양병원)342814.745233265335.083397요양병원(일반요양병원)31301503780.6308 306 301 122 120 104 102 101내과, 신경과, 외과, 재활의학과, 가정의학과, 한방내과, 한방재활의학과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
12병원01_01_01_P3410000PHMA22008341002302120000420081205<NA>4취소/말소/만료/정지/중지24직권폐업20101203<NA><NA><NA>053-431-1119<NA>700819대구광역시 중구 대신동 1450번지 1호대구광역시 중구 달구벌대로 1929 (대신동)<NA>대구효도요양병원20101220100346I2018-08-31 23:59:59.0요양병원(일반요양병원)342218.505201263701.598896요양병원(일반요양병원)20952017.0101 104 115 122내과, 외과, 비뇨의학과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
23병원01_01_01_P3410000PHMA22008341002302120000320081020<NA>3폐업3폐업20090330<NA><NA><NA>053-383-9119<NA>700113대구광역시 중구 태평로3가 171번지 1호대구광역시 중구 태평로 39 (태평로3가)<NA>행복한재활요양병원20090330142646I2018-08-31 23:59:59.0요양병원(일반요양병원)342814.745233265335.083397요양병원(일반요양병원)401103069.0106 101 120 122 105 104 111 102 109 301내과, 신경과, 외과, 정형외과, 신경외과, 마취통증의학과, 소아청소년과, 재활의학과, 가정의학과, 한방내과<NA><NA><NA>00<NA><NA>0<NA>
34병원01_01_01_P3410000PHMA22008341002302120000520081203<NA>3폐업3폐업20081209<NA><NA><NA><NA><NA>700819대구광역시 중구 대신동 1450번지 1호대구광역시 중구 달구벌대로 1929 (대신동)<NA>대구효도요양병원20081209094701I2018-08-31 23:59:59.0요양병원(일반요양병원)342218.505201263701.598896요양병원(일반요양병원)30541578.0101 104 105 115 120 122 301내과, 외과, 정형외과, 비뇨의학과, 재활의학과, 가정의학과, 한방내과<NA><NA><NA>00<NA><NA>0<NA>
45병원01_01_01_P3410000PHMA21974341002302120000119740219<NA>3폐업3폐업20100331<NA><NA><NA>252-4701<NA><NA>대구광역시 중구 남산2동 937-1<NA><NA>대구적십자병원20100331133737I2018-08-31 23:59:59.0병원<NA><NA>병원901505998.0101 102 104 105 110 111 122내과, 신경과, 외과, 정형외과, 산부인과, 소아청소년과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
56병원01_01_01_P3410000PHMA21996341002302120000119960122<NA>3폐업3폐업202110312021033120210930<NA>0537193399<NA><NA>대구광역시 중구 봉산동 195-2대구광역시 중구 이천로 236 (봉산동)41949늘열린성모병원20211029194001U2021-10-31 02:40:00.0병원344398.360741263633.372173병원2126803071.0101 104 105 106 108 109 116 118 120 122내과, 외과, 정형외과, 신경외과, 성형외과, 마취통증의학과, 영상의학과, 병리과, 재활의학과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
67병원01_01_01_P3410000PHMA21999341002302120000119990731<NA>3폐업3폐업20091221<NA><NA><NA>253-0121<NA><NA>대구광역시 중구 포정동 58-8<NA><NA>명진치과병원20091221161820I2018-08-31 23:59:59.0치과병원<NA><NA>치과병원700808.0201 210구강악안면외과, 예방치과<NA><NA><NA>00<NA><NA>0<NA>
78병원01_01_01_P3410000PHMA22001341002302120000120010424<NA>3폐업3폐업20180625<NA><NA><NA>422-4375<NA><NA>대구광역시 중구 삼덕1가 35-11대구광역시 중구 동성로1길 77 (삼덕동1가)41942동서치과병원20180625114221I2018-08-31 23:59:59.0치과병원344207.765758263970.616141치과병원200596.0411 409 408 407 406 405 404 403 402구강악안면외과, 치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강내과, 영상치의학과, 예방치과<NA><NA><NA>00<NA><NA>0<NA>
89병원01_01_01_P3410000PHMA22008341002302120000120080229<NA>3폐업3폐업20160601<NA><NA><NA>210-1234<NA><NA>대구광역시 중구 남일동36-1대구광역시 중구 국채보상로 582 (남일동)41937닥터굿재활의학과병원20160601140627I2018-08-31 23:59:59.0병원343908.47526264557.544338병원212531902.0102 120신경과, 재활의학과<NA><NA><NA>00<NA><NA>0<NA>
910병원01_01_01_P3410000PHMA22011341002302120000120110520<NA>3폐업3폐업20170310<NA><NA><NA>426-6000<NA>700113대구광역시 중구 태평로3가 171번지 1호대구광역시 중구 태평로 39 (태평로3가)41901행복한재활요양병원20170313184754I2018-08-31 23:59:59.0요양병원(일반요양병원)342814.745233265335.083397요양병원(일반요양병원)37221992390.44102 104 120 101 105 122 106 302 301 303 304 305 308 307 306 309내과, 신경과, 외과, 정형외과, 신경외과, 재활의학과, 가정의학과, 한방내과, 한방부인과, 한방소아과, 한방안·이비인후·피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과, 한방응급과<NA><NA><NA>00<NA><NA>0<NA>
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318319병원01_01_01_P3480000PHMA22013348001202120000120131202<NA>1영업/정상13영업중<NA><NA><NA><NA>053-640-8000<NA><NA><NA>대구광역시 달성군 화원읍 비슬로 252542946화원연세병원20220127110426U2022-01-29 02:40:00.0병원334924.366071256766.769218병원18221143408.06101 102 103 104 105 107 111 112 113 114 115 116내과, 신경과, 정신건강의학과, 외과, 정형외과, 흉부외과, 소아청소년과, 안과, 이비인후과, 피부과, 비뇨의학과, 영상의학과<NA><NA><NA>00<NA><NA>0<NA>
319320병원01_01_01_P3480000PHMA22014348001202120000120140617<NA>1영업/정상13영업중<NA><NA><NA><NA>053-572-1100<NA><NA>대구광역시 달성군 다사읍 매곡리 1551번지 1호대구광역시 달성군 다사읍 달구벌대로 893, 3-7층42913이로운요양병원20210420114034U2021-04-22 02:40:00.0요양병원(일반요양병원)332431.324532262897.94004요양병원(일반요양병원)16291993394.45104 110 111 122 301 302 303 304 305 306 307 308외과, 산부인과, 소아청소년과, 가정의학과, 한방내과, 한방부인과, 한방소아과, 한방안·이비인후·피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
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322323병원01_01_01_P3480000PHMA22019348001202120000220190903<NA>1영업/정상13영업중<NA><NA><NA><NA>053-218-9900<NA><NA>대구광역시 달성군 다사읍 매곡리 1544번지 4호대구광역시 달성군 다사읍 왕선로 31, 2~7층42910다사요양병원20211223173943U2021-12-25 02:40:00.0요양병원(일반요양병원)332216.869027263469.165658요양병원(일반요양병원)23351815235.49308 305 304 302 301 122 104 101내과, 외과, 가정의학과, 한방내과, 한방부인과, 한방안·이비인후·피부과, 한방신경정신과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
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324325병원01_01_01_P3480000PHMA22019348001202120000320191021<NA>1영업/정상13영업중<NA><NA><NA><NA>053-210-8000<NA><NA>대구광역시 달성군 유가읍 용리 887번지대구광역시 달성군 유가읍 테크노순환로12길 4, 5~6층42994행복한 병원20220102171627U2022-01-04 02:40:00.0병원333000.0244719.0병원2027422689.83111 110 109 101내과, 마취통증의학과, 산부인과, 소아청소년과<NA><NA><NA>00<NA><NA>0<NA>
325326병원01_01_01_P3480000PHMA22020348001202120000120200116<NA>1영업/정상13영업중<NA><NA><NA><NA>053-716-1119<NA><NA>대구광역시 달성군 현풍읍 중리 489번지대구광역시 달성군 현풍읍 테크노상업로 46, 테크노메디칼센터 3~4층43017지혜로운아동병원20210316090616U2021-03-18 02:40:00.0병원331608.0244625.0병원1318371379.1111소아청소년과<NA><NA><NA>00<NA><NA>0<NA>
326327병원01_01_01_P3480000PHMA22009348001202120000420090206<NA>1영업/정상13영업중<NA><NA><NA><NA>053-615-0700<NA><NA>대구광역시 달성군 현풍읍 중리 503대구광역시 달성군 현풍읍 테크노공원로 21, 2~6층43017현풍요양병원20220623163136U2022-06-25 02:40:00.0요양병원(일반요양병원)<NA><NA>요양병원(일반요양병원)13401833965.63308 301 122 105 102 101내과, 신경과, 정형외과, 가정의학과, 한방내과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
327328병원01_01_01_P3480000PHMA22005348001202120000120050513<NA>3폐업3폐업200907092009052820091228<NA>053-640-9000<NA>711830대구광역시 달성군 화원읍 성산리 487-11<NA><NA>복음병원20090710092944I2018-08-31 23:59:59.0병원<NA><NA>병원1362605830.92101 102 103 104 105 106 109 118 122 120 116내과, 신경과, 정신건강의학과, 외과, 정형외과, 신경외과, 마취통증의학과, 영상의학과, 병리과, 재활의학과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>