Overview

Dataset statistics

Number of variables44
Number of observations331
Missing cells4265
Missing cells (%)29.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory123.3 KiB
Average record size in memory381.4 B

Variable types

Numeric15
Categorical12
Text7
Unsupported9
DateTime1

Dataset

Description22년12월_6270000_대구광역시_01_01_01_P_병원
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097393&dataSetDetailId=DDI_0000097407&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
인허가취소일자 has 331 (100.0%) missing valuesMissing
폐업일자 has 230 (69.5%) missing valuesMissing
휴업시작일자 has 324 (97.9%) missing valuesMissing
휴업종료일자 has 325 (98.2%) missing valuesMissing
재개업일자 has 331 (100.0%) missing valuesMissing
소재지전화 has 16 (4.8%) missing valuesMissing
소재지면적 has 331 (100.0%) missing valuesMissing
소재지우편번호 has 196 (59.2%) missing valuesMissing
소재지전체주소 has 69 (20.8%) missing valuesMissing
도로명전체주소 has 10 (3.0%) missing valuesMissing
도로명우편번호 has 36 (10.9%) missing valuesMissing
좌표정보(X) has 40 (12.1%) missing valuesMissing
좌표정보(Y) has 40 (12.1%) missing valuesMissing
지정취소일자 has 331 (100.0%) missing valuesMissing
완화의료지정형태 has 331 (100.0%) missing valuesMissing
완화의료담당부서명 has 331 (100.0%) missing valuesMissing
총인원 has 331 (100.0%) missing valuesMissing
구조사수 has 331 (100.0%) missing valuesMissing
최초지정일자 has 331 (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 (13.0%) zerosZeros
병상수 has 32 (9.7%) zerosZeros
총면적 has 6 (1.8%) zerosZeros

Reproduction

Analysis started2023-12-10 18:37:17.668646
Analysis finished2023-12-10 18:37:18.937536
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct331
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean166
Minimum1
Maximum331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T03:37:19.064766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.5
Q183.5
median166
Q3248.5
95-th percentile314.5
Maximum331
Range330
Interquartile range (IQR)165

Descriptive statistics

Standard deviation95.695698
Coefficient of variation (CV)0.57648011
Kurtosis-1.2
Mean166
Median Absolute Deviation (MAD)83
Skewness0
Sum54946
Variance9157.6667
MonotonicityStrictly increasing
2023-12-11T03:37:19.364978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
229 1
 
0.3%
227 1
 
0.3%
226 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%
Other values (321) 321
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 (%)
331 1
0.3%
330 1
0.3%
329 1
0.3%
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%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
병원
331 

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 331
100.0%

Length

2023-12-11T03:37:19.608071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:37:20.135428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 331
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
01_01_01_P
331 

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 331
100.0%

Length

2023-12-11T03:37:20.322312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:37:20.491374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_01_01_p 331
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3449123.9
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T03:37:20.638364image/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 deviation21856.69
Coefficient of variation (CV)0.0063368818
Kurtosis-1.0140072
Mean3449123.9
Median Absolute Deviation (MAD)20000
Skewness-0.45679212
Sum1.14166 × 109
Variance4.7771491 × 108
MonotonicityIncreasing
2023-12-11T03:37:20.840720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 78
23.6%
3450000 55
16.6%
3460000 52
15.7%
3410000 36
10.9%
3420000 30
 
9.1%
3430000 27
 
8.2%
3440000 27
 
8.2%
3480000 26
 
7.9%
ValueCountFrequency (%)
3410000 36
10.9%
3420000 30
 
9.1%
3430000 27
 
8.2%
3440000 27
 
8.2%
3450000 55
16.6%
3460000 52
15.7%
3470000 78
23.6%
3480000 26
 
7.9%
ValueCountFrequency (%)
3480000 26
 
7.9%
3470000 78
23.6%
3460000 52
15.7%
3450000 55
16.6%
3440000 27
 
8.2%
3430000 27
 
8.2%
3420000 30
 
9.1%
3410000 36
10.9%

관리번호
Text

UNIQUE 

Distinct331
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T03:37:21.189939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters8275
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

Unique331 ?
Unique (%)100.0%

Sample

1st rowPHMA220173410023021200001
2nd rowPHMA220083410023021200004
3rd rowPHMA220083410023021200003
4th rowPHMA220083410023021200005
5th rowPHMA219743410023021200001
ValueCountFrequency (%)
phma220173410023021200001 1
 
0.3%
phma220003460023021200003 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%
phma220033460023021200002 1
 
0.3%
Other values (321) 321
97.0%
2023-12-11T03:37:21.775780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2779
33.6%
2 1920
23.2%
1 762
 
9.2%
3 553
 
6.7%
4 430
 
5.2%
P 331
 
4.0%
H 331
 
4.0%
M 331
 
4.0%
A 331
 
4.0%
9 130
 
1.6%
Other values (4) 377
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6951
84.0%
Uppercase Letter 1324
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2779
40.0%
2 1920
27.6%
1 762
 
11.0%
3 553
 
8.0%
4 430
 
6.2%
9 130
 
1.9%
7 125
 
1.8%
5 93
 
1.3%
6 89
 
1.3%
8 70
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
P 331
25.0%
H 331
25.0%
M 331
25.0%
A 331
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6951
84.0%
Latin 1324
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2779
40.0%
2 1920
27.6%
1 762
 
11.0%
3 553
 
8.0%
4 430
 
6.2%
9 130
 
1.9%
7 125
 
1.8%
5 93
 
1.3%
6 89
 
1.3%
8 70
 
1.0%
Latin
ValueCountFrequency (%)
P 331
25.0%
H 331
25.0%
M 331
25.0%
A 331
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8275
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2779
33.6%
2 1920
23.2%
1 762
 
9.2%
3 553
 
6.7%
4 430
 
5.2%
P 331
 
4.0%
H 331
 
4.0%
M 331
 
4.0%
A 331
 
4.0%
9 130
 
1.6%
Other values (4) 377
 
4.6%

인허가일자
Real number (ℝ)

Distinct320
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20080250
Minimum19100907
Maximum20221125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T03:37:22.033978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19100907
5-th percentile19935360
Q120040916
median20090114
Q320141168
95-th percentile20210369
Maximum20221125
Range1120218
Interquartile range (IQR)100251.5

Descriptive statistics

Standard deviation106804.02
Coefficient of variation (CV)0.0053188593
Kurtosis22.52205
Mean20080250
Median Absolute Deviation (MAD)50503
Skewness-3.1869548
Sum6.6465627 × 109
Variance1.1407099 × 1010
MonotonicityNot monotonic
2023-12-11T03:37:22.308275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20071126 3
 
0.9%
20030305 2
 
0.6%
19971231 2
 
0.6%
20121231 2
 
0.6%
20060102 2
 
0.6%
20090831 2
 
0.6%
19990701 2
 
0.6%
20080912 2
 
0.6%
20200116 2
 
0.6%
20200902 2
 
0.6%
Other values (310) 310
93.7%
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 (%)
20221125 1
0.3%
20221111 1
0.3%
20221007 1
0.3%
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%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing331
Missing (%)100.0%
Memory size3.0 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
1
229 
3
94 
4
 
7
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 229
69.2%
3 94
28.4%
4 7
 
2.1%
2 1
 
0.3%

Length

2023-12-11T03:37:22.667364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:37:22.860717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 229
69.2%
3 94
28.4%
4 7
 
2.1%
2 1
 
0.3%

영업상태명
Categorical

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
영업/정상
229 
폐업
94 
취소/말소/만료/정지/중지
 
7
휴업
 
1

Length

Max length14
Median length5
Mean length4.3293051
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 229
69.2%
폐업 94
28.4%
취소/말소/만료/정지/중지 7
 
2.1%
휴업 1
 
0.3%

Length

2023-12-11T03:37:23.061302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:37:23.282521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 229
69.2%
폐업 94
28.4%
취소/말소/만료/정지/중지 7
 
2.1%
휴업 1
 
0.3%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
13
229 
3
94 
24
 
7
2
 
1

Length

Max length2
Median length2
Mean length1.7129909
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
13 229
69.2%
3 94
28.4%
24 7
 
2.1%
2 1
 
0.3%

Length

2023-12-11T03:37:23.476757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:37:23.640494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 229
69.2%
3 94
28.4%
24 7
 
2.1%
2 1
 
0.3%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
영업중
229 
폐업
94 
직권폐업
 
7
휴업
 
1

Length

Max length4
Median length3
Mean length2.734139
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 229
69.2%
폐업 94
28.4%
직권폐업 7
 
2.1%
휴업 1
 
0.3%

Length

2023-12-11T03:37:23.845043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:37:24.044280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 229
69.2%
폐업 94
28.4%
직권폐업 7
 
2.1%
휴업 1
 
0.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct98
Distinct (%)97.0%
Missing230
Missing (%)69.5%
Infinite0
Infinite (%)0.0%
Mean20146258
Minimum20051222
Maximum20221223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T03:37:24.273719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20051222
5-th percentile20081209
Q120111229
median20141224
Q320171111
95-th percentile20220310
Maximum20221223
Range170001
Interquartile range (IQR)59882

Descriptive statistics

Standard deviation41162.247
Coefficient of variation (CV)0.0020431708
Kurtosis-0.76042912
Mean20146258
Median Absolute Deviation (MAD)29995
Skewness0.10668269
Sum2.0347721 × 109
Variance1.6943305 × 109
MonotonicityNot monotonic
2023-12-11T03:37:24.587671image/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%
20220504 1
 
0.3%
20130513 1
 
0.3%
20200915 1
 
0.3%
20101201 1
 
0.3%
20181015 1
 
0.3%
20160501 1
 
0.3%
20120229 1
 
0.3%
Other values (88) 88
 
26.6%
(Missing) 230
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 (%)
20221223 1
0.3%
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%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing324
Missing (%)97.9%
Infinite0
Infinite (%)0.0%
Mean20149218
Minimum20080828
Maximum20221124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T03:37:24.841755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080828
5-th percentile20083700
Q120090464
median20150408
Q320205619
95-th percentile20217886
Maximum20221124
Range140296
Interquartile range (IQR)115154.5

Descriptive statistics

Standard deviation62128.346
Coefficient of variation (CV)0.0030834122
Kurtosis-2.4704876
Mean20149218
Median Absolute Deviation (MAD)59923
Skewness0.012278224
Sum1.4104453 × 108
Variance3.8599314 × 109
MonotonicityNot monotonic
2023-12-11T03:37:25.063925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20210331 1
 
0.3%
20090401 1
 
0.3%
20150408 1
 
0.3%
20200907 1
 
0.3%
20221124 1
 
0.3%
20090528 1
 
0.3%
20080828 1
 
0.3%
(Missing) 324
97.9%
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%
20221124 1
0.3%
ValueCountFrequency (%)
20221124 1
0.3%
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
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing325
Missing (%)98.2%
Infinite0
Infinite (%)0.0%
Mean20167487
Minimum20090430
Maximum20231124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T03:37:25.268831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090430
5-th percentile20090630
Q120108523
median20185668
Q320218333
95-th percentile20228543
Maximum20231124
Range140694
Interquartile range (IQR)109810.5

Descriptive statistics

Standard deviation64160.248
Coefficient of variation (CV)0.0031813706
Kurtosis-2.2381975
Mean20167487
Median Absolute Deviation (MAD)40294
Skewness-0.46584163
Sum1.2100492 × 108
Variance4.1165375 × 109
MonotonicityNot monotonic
2023-12-11T03:37:25.603071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20210930 1
 
0.3%
20090430 1
 
0.3%
20160407 1
 
0.3%
20220801 1
 
0.3%
20231124 1
 
0.3%
20091228 1
 
0.3%
(Missing) 325
98.2%
ValueCountFrequency (%)
20090430 1
0.3%
20091228 1
0.3%
20160407 1
0.3%
20210930 1
0.3%
20220801 1
0.3%
20231124 1
0.3%
ValueCountFrequency (%)
20231124 1
0.3%
20220801 1
0.3%
20210930 1
0.3%
20160407 1
0.3%
20091228 1
0.3%
20090430 1
0.3%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing331
Missing (%)100.0%
Memory size3.0 KiB

소재지전화
Text

MISSING 

Distinct299
Distinct (%)94.9%
Missing16
Missing (%)4.8%
Memory size2.7 KiB
2023-12-11T03:37:26.103715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length11.463492
Min length7

Characters and Unicode

Total characters3611
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

Unique283 ?
Unique (%)89.8%

Sample

1st row053-426-6000
2nd row053-431-1119
3rd row053-383-9119
4th row252-4701
5th row0537193399
ValueCountFrequency (%)
053-657-2111 2
 
0.6%
053-659-7000 2
 
0.6%
053-951-9119 2
 
0.6%
763-0200 2
 
0.6%
053-572-1100 2
 
0.6%
053-620-7339 2
 
0.6%
053-551-9119 2
 
0.6%
053-640-8000 2
 
0.6%
053-632-0808 2
 
0.6%
053-749-0000 2
 
0.6%
Other values (290) 296
93.7%
2023-12-11T03:37:26.870369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 813
22.5%
- 560
15.5%
5 535
14.8%
3 416
11.5%
1 268
 
7.4%
7 259
 
7.2%
2 198
 
5.5%
6 195
 
5.4%
9 147
 
4.1%
8 112
 
3.1%
Other values (3) 108
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3049
84.4%
Dash Punctuation 560
 
15.5%
Other Punctuation 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 813
26.7%
5 535
17.5%
3 416
13.6%
1 268
 
8.8%
7 259
 
8.5%
2 198
 
6.5%
6 195
 
6.4%
9 147
 
4.8%
8 112
 
3.7%
4 106
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 560
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3611
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 813
22.5%
- 560
15.5%
5 535
14.8%
3 416
11.5%
1 268
 
7.4%
7 259
 
7.2%
2 198
 
5.5%
6 195
 
5.4%
9 147
 
4.1%
8 112
 
3.1%
Other values (3) 108
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3611
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 813
22.5%
- 560
15.5%
5 535
14.8%
3 416
11.5%
1 268
 
7.4%
7 259
 
7.2%
2 198
 
5.5%
6 195
 
5.4%
9 147
 
4.1%
8 112
 
3.1%
Other values (3) 108
 
3.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing331
Missing (%)100.0%
Memory size3.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct103
Distinct (%)76.3%
Missing196
Missing (%)59.2%
Infinite0
Infinite (%)0.0%
Mean704932.5
Minimum700113
Maximum711863
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T03:37:27.158415image/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
2023-12-11T03:37:27.434526image/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
32.0%
(Missing) 196
59.2%
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 

Distinct247
Distinct (%)94.3%
Missing69
Missing (%)20.8%
Memory size2.7 KiB
2023-12-11T03:37:28.074335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length38
Mean length23.076336
Min length10

Characters and Unicode

Total characters6046
Distinct characters166
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

Unique237 ?
Unique (%)90.5%

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 258
 
20.4%
달서구 62
 
4.9%
수성구 44
 
3.5%
1호 44
 
3.5%
북구 33
 
2.6%
중구 27
 
2.1%
서구 26
 
2.1%
달성군 23
 
1.8%
남구 19
 
1.5%
동구 15
 
1.2%
Other values (447) 716
56.5%
2023-12-11T03:37:29.065374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1012
16.7%
구 496
 
8.2%
1 308
 
5.1%
대 291
 
4.8%
시 265
 
4.4%
동 265
 
4.4%
광 261
 
4.3%
역 259
 
4.3%
지 190
 
3.1%
번 170
 
2.8%
Other values (156) 2529
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3535
58.5%
Decimal Number 1313
 
21.7%
Space Separator 1012
 
16.7%
Dash Punctuation 81
 
1.3%
Other Punctuation 48
 
0.8%
Math Symbol 21
 
0.3%
Close Punctuation 17
 
0.3%
Open Punctuation 17
 
0.3%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 496
14.0%
대 291
 
8.2%
시 265
 
7.5%
동 265
 
7.5%
광 261
 
7.4%
역 259
 
7.3%
지 190
 
5.4%
번 170
 
4.8%
호 147
 
4.2%
서 91
 
2.6%
Other values (137) 1100
31.1%
Decimal Number
ValueCountFrequency (%)
1 308
23.5%
2 165
12.6%
3 149
11.3%
6 124
9.4%
5 122
 
9.3%
4 117
 
8.9%
7 89
 
6.8%
0 86
 
6.5%
9 77
 
5.9%
8 76
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 44
91.7%
. 4
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
J 1
50.0%
M 1
50.0%
Space Separator
ValueCountFrequency (%)
1012
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%
Math Symbol
ValueCountFrequency (%)
~ 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3535
58.5%
Common 2509
41.5%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 496
14.0%
대 291
 
8.2%
시 265
 
7.5%
동 265
 
7.5%
광 261
 
7.4%
역 259
 
7.3%
지 190
 
5.4%
번 170
 
4.8%
호 147
 
4.2%
서 91
 
2.6%
Other values (137) 1100
31.1%
Common
ValueCountFrequency (%)
1012
40.3%
1 308
 
12.3%
2 165
 
6.6%
3 149
 
5.9%
6 124
 
4.9%
5 122
 
4.9%
4 117
 
4.7%
7 89
 
3.5%
0 86
 
3.4%
- 81
 
3.2%
Other values (7) 256
 
10.2%
Latin
ValueCountFrequency (%)
J 1
50.0%
M 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3535
58.5%
ASCII 2511
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1012
40.3%
1 308
 
12.3%
2 165
 
6.6%
3 149
 
5.9%
6 124
 
4.9%
5 122
 
4.9%
4 117
 
4.7%
7 89
 
3.5%
0 86
 
3.4%
- 81
 
3.2%
Other values (9) 258
 
10.3%
Hangul
ValueCountFrequency (%)
구 496
14.0%
대 291
 
8.2%
시 265
 
7.5%
동 265
 
7.5%
광 261
 
7.4%
역 259
 
7.3%
지 190
 
5.4%
번 170
 
4.8%
호 147
 
4.2%
서 91
 
2.6%
Other values (137) 1100
31.1%

도로명전체주소
Text

MISSING 

Distinct296
Distinct (%)92.2%
Missing10
Missing (%)3.0%
Memory size2.7 KiB
2023-12-11T03:37:29.724109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length27.747664
Min length20

Characters and Unicode

Total characters8907
Distinct characters224
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

Unique277 ?
Unique (%)86.3%

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 322
 
18.0%
달서구 78
 
4.4%
수성구 52
 
2.9%
북구 51
 
2.9%
달구벌대로 43
 
2.4%
중구 34
 
1.9%
동구 28
 
1.6%
남구 27
 
1.5%
서구 27
 
1.5%
월배로 25
 
1.4%
Other values (559) 1099
61.5%
2023-12-11T03:37:30.699331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1465
 
16.4%
구 692
 
7.8%
대 468
 
5.3%
동 390
 
4.4%
시 329
 
3.7%
광 324
 
3.6%
역 324
 
3.6%
로 324
 
3.6%
) 309
 
3.5%
( 309
 
3.5%
Other values (214) 3973
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5195
58.3%
Space Separator 1465
 
16.4%
Decimal Number 1317
 
14.8%
Close Punctuation 309
 
3.5%
Open Punctuation 309
 
3.5%
Other Punctuation 233
 
2.6%
Math Symbol 63
 
0.7%
Dash Punctuation 13
 
0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 692
 
13.3%
대 468
 
9.0%
동 390
 
7.5%
시 329
 
6.3%
광 324
 
6.2%
역 324
 
6.2%
로 324
 
6.2%
달 154
 
3.0%
층 131
 
2.5%
성 121
 
2.3%
Other values (195) 1938
37.3%
Decimal Number
ValueCountFrequency (%)
1 301
22.9%
2 208
15.8%
3 135
10.3%
4 116
 
8.8%
5 116
 
8.8%
6 109
 
8.3%
7 104
 
7.9%
0 81
 
6.2%
9 80
 
6.1%
8 67
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
J 1
33.3%
M 1
33.3%
G 1
33.3%
Space Separator
ValueCountFrequency (%)
1465
100.0%
Close Punctuation
ValueCountFrequency (%)
) 309
100.0%
Open Punctuation
ValueCountFrequency (%)
( 309
100.0%
Other Punctuation
ValueCountFrequency (%)
, 233
100.0%
Math Symbol
ValueCountFrequency (%)
~ 63
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5195
58.3%
Common 3709
41.6%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 692
 
13.3%
대 468
 
9.0%
동 390
 
7.5%
시 329
 
6.3%
광 324
 
6.2%
역 324
 
6.2%
로 324
 
6.2%
달 154
 
3.0%
층 131
 
2.5%
성 121
 
2.3%
Other values (195) 1938
37.3%
Common
ValueCountFrequency (%)
1465
39.5%
) 309
 
8.3%
( 309
 
8.3%
1 301
 
8.1%
, 233
 
6.3%
2 208
 
5.6%
3 135
 
3.6%
4 116
 
3.1%
5 116
 
3.1%
6 109
 
2.9%
Other values (6) 408
 
11.0%
Latin
ValueCountFrequency (%)
J 1
33.3%
M 1
33.3%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5195
58.3%
ASCII 3712
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1465
39.5%
) 309
 
8.3%
( 309
 
8.3%
1 301
 
8.1%
, 233
 
6.3%
2 208
 
5.6%
3 135
 
3.6%
4 116
 
3.1%
5 116
 
3.1%
6 109
 
2.9%
Other values (9) 411
 
11.1%
Hangul
ValueCountFrequency (%)
구 692
 
13.3%
대 468
 
9.0%
동 390
 
7.5%
시 329
 
6.3%
광 324
 
6.2%
역 324
 
6.2%
로 324
 
6.2%
달 154
 
3.0%
층 131
 
2.5%
성 121
 
2.3%
Other values (195) 1938
37.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct221
Distinct (%)74.9%
Missing36
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean125278.2
Minimum41005
Maximum711870
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T03:37:30.957750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41005
5-th percentile41198.7
Q141772.5
median42186
Q342776
95-th percentile704913
Maximum711870
Range670865
Interquartile range (IQR)1003.5

Descriptive statistics

Standard deviation219981.43
Coefficient of variation (CV)1.7559434
Kurtosis3.1911552
Mean125278.2
Median Absolute Deviation (MAD)574
Skewness2.2736059
Sum36957070
Variance4.8391832 × 1010
MonotonicityNot monotonic
2023-12-11T03:37:31.197207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42784 4
 
1.2%
41535 4
 
1.2%
41940 4
 
1.2%
42639 3
 
0.9%
42642 3
 
0.9%
42781 3
 
0.9%
42818 3
 
0.9%
42770 3
 
0.9%
42788 3
 
0.9%
41422 3
 
0.9%
Other values (211) 262
79.2%
(Missing) 36
 
10.9%
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

Distinct309
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T03:37:31.642979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length7.6283988
Min length3

Characters and Unicode

Total characters2525
Distinct characters263
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

Unique293 ?
Unique (%)88.5%

Sample

1st row행복한재활요양병원
2nd row대구효도요양병원
3rd row행복한재활요양병원
4th row대구효도요양병원
5th row대구적십자병원
ValueCountFrequency (%)
의료법인 6
 
1.6%
라온치과병원 5
 
1.4%
대구효도요양병원 3
 
0.8%
행복한재활요양병원 3
 
0.8%
수월한방병원 3
 
0.8%
베스트병원 2
 
0.5%
대구병원 2
 
0.5%
미주병원 2
 
0.5%
수성요양병원 2
 
0.5%
의료법인명문의료재단 2
 
0.5%
Other values (325) 338
91.8%
2023-12-11T03:37:32.344658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 336
 
13.3%
병 330
 
13.1%
양 113
 
4.5%
요 113
 
4.5%
대 73
 
2.9%
의 69
 
2.7%
료 62
 
2.5%
한 55
 
2.2%
성 47
 
1.9%
구 46
 
1.8%
Other values (253) 1281
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2457
97.3%
Space Separator 38
 
1.5%
Decimal Number 10
 
0.4%
Uppercase Letter 7
 
0.3%
Close Punctuation 6
 
0.2%
Open Punctuation 6
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 336
 
13.7%
병 330
 
13.4%
양 113
 
4.6%
요 113
 
4.6%
대 73
 
3.0%
의 69
 
2.8%
료 62
 
2.5%
한 55
 
2.2%
성 47
 
1.9%
구 46
 
1.9%
Other values (241) 1213
49.4%
Uppercase Letter
ValueCountFrequency (%)
M 2
28.6%
S 2
28.6%
W 1
14.3%
U 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%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2457
97.3%
Common 60
 
2.4%
Latin 8
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 336
 
13.7%
병 330
 
13.4%
양 113
 
4.6%
요 113
 
4.6%
대 73
 
3.0%
의 69
 
2.8%
료 62
 
2.5%
한 55
 
2.2%
성 47
 
1.9%
구 46
 
1.9%
Other values (241) 1213
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%
W 1
12.5%
U 1
12.5%
e 1
12.5%
K 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2457
97.3%
ASCII 68
 
2.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 336
 
13.7%
병 330
 
13.4%
양 113
 
4.6%
요 113
 
4.6%
대 73
 
3.0%
의 69
 
2.8%
료 62
 
2.5%
한 55
 
2.2%
성 47
 
1.9%
구 46
 
1.9%
Other values (241) 1213
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%
W 1
 
1.5%
U 1
 
1.5%
e 1
 
1.5%
Other values (2) 2
 
2.9%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct331
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0194118 × 1013
Minimum2.0081114 × 1013
Maximum2.022123 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T03:37:32.604556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0081114 × 1013
5-th percentile2.0110757 × 1013
Q12.0180868 × 1013
median2.0211207 × 1013
Q32.0221016 × 1013
95-th percentile2.0221223 × 1013
Maximum2.022123 × 1013
Range1.4011602 × 1011
Interquartile range (IQR)4.0147996 × 1010

Descriptive statistics

Standard deviation3.7892862 × 1010
Coefficient of variation (CV)0.0018764307
Kurtosis0.84442097
Mean2.0194118 × 1013
Median Absolute Deviation (MAD)1.0000956 × 1010
Skewness-1.4213594
Sum6.6842529 × 1015
Variance1.435869 × 1021
MonotonicityNot monotonic
2023-12-11T03:37:32.905001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220920114056 1
 
0.3%
20211221165302 1
 
0.3%
20150217092052 1
 
0.3%
20100122143300 1
 
0.3%
20221116175409 1
 
0.3%
20220927162935 1
 
0.3%
20221214143011 1
 
0.3%
20221206172159 1
 
0.3%
20221215174655 1
 
0.3%
20221104175308 1
 
0.3%
Other values (321) 321
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 (%)
20221230193310 1
0.3%
20221230192611 1
0.3%
20221230174856 1
0.3%
20221230161855 1
0.3%
20221230154752 1
0.3%
20221230154736 1
0.3%
20221229094148 1
0.3%
20221228144322 1
0.3%
20221226093536 1
0.3%
20221226093518 1
0.3%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
U
247 
I
84 

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 247
74.6%
I 84
 
25.4%

Length

2023-12-11T03:37:33.195914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:37:33.365816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 247
74.6%
i 84
 
25.4%

데이터갱신일자
Date

Distinct168
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-01-01 02:40:00
2023-12-11T03:37:33.565157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:37:33.878602image/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
148 
요양병원(일반요양병원)
114 
치과병원
26 
한방병원
23 
종합병원
19 

Length

Max length12
Median length10
Mean length5.8791541
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 148
44.7%
요양병원(일반요양병원) 114
34.4%
치과병원 26
 
7.9%
한방병원 23
 
6.9%
종합병원 19
 
5.7%
요양병원(정신병원) 1
 
0.3%

Length

2023-12-11T03:37:34.123241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:37:34.335841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 148
44.7%
요양병원(일반요양병원 114
34.4%
치과병원 26
 
7.9%
한방병원 23
 
6.9%
종합병원 19
 
5.7%
요양병원(정신병원 1
 
0.3%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct243
Distinct (%)83.5%
Missing40
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean342601.67
Minimum330079.99
Maximum355865.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T03:37:34.572425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330079.99
5-th percentile334870.65
Q1339702.87
median342112.13
Q3345783.27
95-th percentile350124.98
Maximum355865.61
Range25785.618
Interquartile range (IQR)6080.4043

Descriptive statistics

Standard deviation4826.8516
Coefficient of variation (CV)0.014088815
Kurtosis0.59932851
Mean342601.67
Median Absolute Deviation (MAD)3086.5566
Skewness0.15751357
Sum99697086
Variance23298496
MonotonicityNot monotonic
2023-12-11T03:37:34.788223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
334924.366071286 5
 
1.5%
354779.192187887 3
 
0.9%
332431.324531703 3
 
0.9%
338334.970704834 3
 
0.9%
340530.466583283 3
 
0.9%
345942.087782905 3
 
0.9%
347561.474334037 3
 
0.9%
346545.738814801 3
 
0.9%
342218.505200811 3
 
0.9%
339652.783261692 3
 
0.9%
Other values (233) 259
78.2%
(Missing) 40
 
12.1%
ValueCountFrequency (%)
330079.99397268 1
 
0.3%
330287.160801633 1
 
0.3%
330712.904908793 1
 
0.3%
331395.630779519 1
 
0.3%
331472.884845663 1
 
0.3%
331533.215217562 1
 
0.3%
331712.474116767 1
 
0.3%
332216.869027063 1
 
0.3%
332431.324531703 3
0.9%
332457.450310827 1
 
0.3%
ValueCountFrequency (%)
355865.611497639 1
 
0.3%
354779.192187887 3
0.9%
354775.215568221 1
 
0.3%
354700.751633858 1
 
0.3%
354657.903918317 1
 
0.3%
354503.88762157 1
 
0.3%
354377.744409687 1
 
0.3%
354275.650068717 1
 
0.3%
354045.591625184 1
 
0.3%
353999.548195885 1
 
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct243
Distinct (%)83.5%
Missing40
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean263071.34
Minimum244462.84
Maximum274315.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T03:37:35.450663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244462.84
5-th percentile257170.03
Q1261041.16
median263034.27
Q3265251.16
95-th percentile271710.32
Maximum274315.5
Range29852.658
Interquartile range (IQR)4209.998

Descriptive statistics

Standard deviation4598.0434
Coefficient of variation (CV)0.017478314
Kurtosis4.1447355
Mean263071.34
Median Absolute Deviation (MAD)2128.0595
Skewness-0.94285693
Sum76553759
Variance21142003
MonotonicityNot monotonic
2023-12-11T03:37:35.733540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
256766.769217567 5
 
1.5%
264180.815335296 3
 
0.9%
262897.940039609 3
 
0.9%
258421.914948634 3
 
0.9%
260772.414073792 3
 
0.9%
262756.685449216 3
 
0.9%
259874.87540997 3
 
0.9%
261954.337920424 3
 
0.9%
263701.598896448 3
 
0.9%
269449.810238624 3
 
0.9%
Other values (233) 259
78.2%
(Missing) 40
 
12.1%
ValueCountFrequency (%)
244462.838706576 1
 
0.3%
244553.515554328 1
 
0.3%
244602.495259684 1
 
0.3%
244686.529495474 1
 
0.3%
245397.659464758 1
 
0.3%
247765.264752024 1
 
0.3%
248655.029584902 1
 
0.3%
249749.147591039 1
 
0.3%
251170.945308174 1
 
0.3%
256766.769217567 5
1.5%
ValueCountFrequency (%)
274315.497141221 1
0.3%
274001.578647157 1
0.3%
273400.631796057 1
0.3%
272633.741088398 2
0.6%
272562.955096575 1
0.3%
272558.799360465 1
0.3%
272557.05672629 1
0.3%
272531.810873684 1
0.3%
272505.366926318 1
0.3%
272251.009827775 1
0.3%

의료기관종별명
Categorical

Distinct6
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
병원
148 
요양병원(일반요양병원)
114 
치과병원
26 
한방병원
23 
종합병원
19 

Length

Max length12
Median length10
Mean length5.8791541
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 148
44.7%
요양병원(일반요양병원) 114
34.4%
치과병원 26
 
7.9%
한방병원 23
 
6.9%
종합병원 19
 
5.7%
요양병원(정신병원) 1
 
0.3%

Length

2023-12-11T03:37:36.023830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:37:36.243311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 148
44.7%
요양병원(일반요양병원 114
34.4%
치과병원 26
 
7.9%
한방병원 23
 
6.9%
종합병원 19
 
5.7%
요양병원(정신병원 1
 
0.3%

의료인수
Real number (ℝ)

Distinct86
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.389728
Minimum0
Maximum1893
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T03:37:36.470602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18
median18
Q333
95-th percentile119.5
Maximum1893
Range1893
Interquartile range (IQR)25

Descriptive statistics

Standard deviation193.81926
Coefficient of variation (CV)3.699566
Kurtosis65.666518
Mean52.389728
Median Absolute Deviation (MAD)12
Skewness7.8977465
Sum17341
Variance37565.905
MonotonicityNot monotonic
2023-12-11T03:37:36.747997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 21
 
6.3%
17 15
 
4.5%
4 15
 
4.5%
1 13
 
3.9%
5 11
 
3.3%
20 11
 
3.3%
7 10
 
3.0%
12 10
 
3.0%
8 10
 
3.0%
19 10
 
3.0%
Other values (76) 205
61.9%
ValueCountFrequency (%)
0 1
 
0.3%
1 13
3.9%
2 21
6.3%
3 9
2.7%
4 15
4.5%
5 11
3.3%
6 2
 
0.6%
7 10
3.0%
8 10
3.0%
9 8
 
2.4%
ValueCountFrequency (%)
1893 1
0.3%
1769 1
0.3%
1735 1
0.3%
1347 1
0.3%
802 1
0.3%
614 1
0.3%
358 1
0.3%
259 1
0.3%
242 1
0.3%
181 1
0.3%

입원실수
Real number (ℝ)

ZEROS 

Distinct78
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.02719
Minimum0
Maximum298
Zeros43
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T03:37:36.984156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median27
Q338
95-th percentile73
Maximum298
Range298
Interquartile range (IQR)23

Descriptive statistics

Standard deviation36.643853
Coefficient of variation (CV)1.1441482
Kurtosis22.850146
Mean32.02719
Median Absolute Deviation (MAD)12
Skewness4.1897482
Sum10601
Variance1342.772
MonotonicityNot monotonic
2023-12-11T03:37:37.230137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43
 
13.0%
16 11
 
3.3%
21 10
 
3.0%
29 10
 
3.0%
28 10
 
3.0%
33 10
 
3.0%
32 8
 
2.4%
24 8
 
2.4%
35 8
 
2.4%
27 8
 
2.4%
Other values (68) 205
61.9%
ValueCountFrequency (%)
0 43
13.0%
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 6
 
1.8%
11 4
 
1.2%
ValueCountFrequency (%)
298 1
0.3%
279 1
0.3%
237 1
0.3%
230 1
0.3%
210 2
0.6%
200 1
0.3%
136 1
0.3%
112 1
0.3%
93 1
0.3%
91 1
0.3%

병상수
Real number (ℝ)

ZEROS 

Distinct174
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.95166
Minimum0
Maximum1008
Zeros32
Zeros (%)9.7%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T03:37:37.515908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q155.5
median117
Q3198
95-th percentile299
Maximum1008
Range1008
Interquartile range (IQR)142.5

Descriptive statistics

Standard deviation137.16061
Coefficient of variation (CV)0.96624874
Kurtosis16.596353
Mean141.95166
Median Absolute Deviation (MAD)71
Skewness3.2919601
Sum46986
Variance18813.034
MonotonicityNot monotonic
2023-12-11T03:37:37.801549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
9.7%
199 11
 
3.3%
30 11
 
3.3%
99 9
 
2.7%
70 7
 
2.1%
38 6
 
1.8%
200 6
 
1.8%
150 5
 
1.5%
183 4
 
1.2%
188 4
 
1.2%
Other values (164) 236
71.3%
ValueCountFrequency (%)
0 32
9.7%
3 1
 
0.3%
12 1
 
0.3%
15 1
 
0.3%
29 1
 
0.3%
30 11
 
3.3%
32 1
 
0.3%
33 1
 
0.3%
34 1
 
0.3%
35 1
 
0.3%
ValueCountFrequency (%)
1008 1
0.3%
993 1
0.3%
942 1
0.3%
895 1
0.3%
874 1
0.3%
675 1
0.3%
465 1
0.3%
459 1
0.3%
374 1
0.3%
360 1
0.3%

총면적
Real number (ℝ)

ZEROS 

Distinct318
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5986.5605
Minimum0
Maximum179152
Zeros6
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T03:37:38.050810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile656.65
Q11923.75
median3108.5
Q34877.82
95-th percentile11423.83
Maximum179152
Range179152
Interquartile range (IQR)2954.07

Descriptive statistics

Standard deviation15488.708
Coefficient of variation (CV)2.5872465
Kurtosis67.709901
Mean5986.5605
Median Absolute Deviation (MAD)1490.73
Skewness7.6906759
Sum1981551.5
Variance2.3990006 × 108
MonotonicityNot monotonic
2023-12-11T03:37:38.273373image/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%
3394.45 2
 
0.6%
2820.0 2
 
0.6%
2534.19 2
 
0.6%
3802.0 2
 
0.6%
4017.87 2
 
0.6%
1236.88 2
 
0.6%
7204.12 1
 
0.3%
8551.36 1
 
0.3%
Other values (308) 308
93.1%
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

Distinct300
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T03:37:38.600190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length127
Median length79
Mean length29.586103
Min length3

Characters and Unicode

Total characters9793
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

Unique282 ?
Unique (%)85.2%

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 (%)
101 265
 
10.5%
122 176
 
7.0%
102 149
 
5.9%
104 146
 
5.8%
105 142
 
5.6%
120 127
 
5.0%
301 126
 
5.0%
106 115
 
4.6%
109 105
 
4.2%
111 103
 
4.1%
Other values (44) 1070
42.4%
2023-12-11T03:37:39.149447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2823
28.8%
2193
22.4%
0 1904
19.4%
2 759
 
7.8%
3 692
 
7.1%
4 458
 
4.7%
6 289
 
3.0%
5 281
 
2.9%
9 153
 
1.6%
8 148
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7600
77.6%
Space Separator 2193
 
22.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2823
37.1%
0 1904
25.1%
2 759
 
10.0%
3 692
 
9.1%
4 458
 
6.0%
6 289
 
3.8%
5 281
 
3.7%
9 153
 
2.0%
8 148
 
1.9%
7 93
 
1.2%
Space Separator
ValueCountFrequency (%)
2193
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9793
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2823
28.8%
2193
22.4%
0 1904
19.4%
2 759
 
7.8%
3 692
 
7.1%
4 458
 
4.7%
6 289
 
3.0%
5 281
 
2.9%
9 153
 
1.6%
8 148
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9793
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2823
28.8%
2193
22.4%
0 1904
19.4%
2 759
 
7.8%
3 692
 
7.1%
4 458
 
4.7%
6 289
 
3.0%
5 281
 
2.9%
9 153
 
1.6%
8 148
 
1.5%

진료과목내용명
Text

Distinct284
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T03:37:39.510336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length213
Median length92
Mean length46.957704
Min length2

Characters and Unicode

Total characters15543
Distinct characters74
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

Unique260 ?
Unique (%)78.5%

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 265
 
10.5%
가정의학과 176
 
7.0%
신경과 149
 
5.9%
외과 146
 
5.8%
정형외과 142
 
5.6%
재활의학과 127
 
5.0%
한방내과 126
 
5.0%
신경외과 115
 
4.6%
마취통증의학과 105
 
4.2%
소아청소년과 103
 
4.1%
Other values (38) 1063
42.2%
2023-12-11T03:37:40.122275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 2581
16.6%
2186
14.1%
, 2186
14.1%
학 734
 
4.7%
의 728
 
4.7%
외 453
 
2.9%
정 440
 
2.8%
신 420
 
2.7%
내 408
 
2.6%
방 402
 
2.6%
Other values (64) 5005
32.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11075
71.3%
Other Punctuation 2282
 
14.7%
Space Separator 2186
 
14.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 2581
23.3%
학 734
 
6.6%
의 728
 
6.6%
외 453
 
4.1%
정 440
 
4.0%
신 420
 
3.8%
내 408
 
3.7%
방 402
 
3.6%
한 382
 
3.4%
경 323
 
2.9%
Other values (61) 4204
38.0%
Other Punctuation
ValueCountFrequency (%)
, 2186
95.8%
· 96
 
4.2%
Space Separator
ValueCountFrequency (%)
2186
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11075
71.3%
Common 4468
28.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 2581
23.3%
학 734
 
6.6%
의 728
 
6.6%
외 453
 
4.1%
정 440
 
4.0%
신 420
 
3.8%
내 408
 
3.7%
방 402
 
3.6%
한 382
 
3.4%
경 323
 
2.9%
Other values (61) 4204
38.0%
Common
ValueCountFrequency (%)
2186
48.9%
, 2186
48.9%
· 96
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11075
71.3%
ASCII 4372
 
28.1%
None 96
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 2581
23.3%
학 734
 
6.6%
의 728
 
6.6%
외 453
 
4.1%
정 440
 
4.0%
신 420
 
3.8%
내 408
 
3.7%
방 402
 
3.6%
한 382
 
3.4%
경 323
 
2.9%
Other values (61) 4204
38.0%
ASCII
ValueCountFrequency (%)
2186
50.0%
, 2186
50.0%
None
ValueCountFrequency (%)
· 96
100.0%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing331
Missing (%)100.0%
Memory size3.0 KiB

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing331
Missing (%)100.0%
Memory size3.0 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing331
Missing (%)100.0%
Memory size3.0 KiB

구급차특수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
0
331 

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 (%)
0 331
100.0%

Length

2023-12-11T03:37:40.325255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:37:40.491742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 331
100.0%

구급차일반
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
0
331 

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 (%)
0 331
100.0%

Length

2023-12-11T03:37:40.657328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:37:40.806349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 331
100.0%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing331
Missing (%)100.0%
Memory size3.0 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing331
Missing (%)100.0%
Memory size3.0 KiB

허가병상수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
0
331 

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 (%)
0 331
100.0%

Length

2023-12-11T03:37:40.972329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:37:41.132722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 331
100.0%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing331
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)41901행복한재활요양병원20220920114056U2022-09-22 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 02:40:00.0병원344409.51407263602.569132병원2126803071.0101 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>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
321322병원01_01_01_P3480000PHMA22012348001202120000120120627<NA>1영업/정상13영업중<NA><NA><NA><NA>053-626-9988<NA><NA>대구광역시 달성군 논공읍 금포리 1155번지대구광역시 달성군 논공읍 달성군청로1길 842974달성요양병원20220509104823U2022-05-11 02:40:00.0요양병원(일반요양병원)<NA><NA>요양병원(일반요양병원)26412143730.21101 104 105 106 120 122 301 302 308내과, 외과, 정형외과, 신경외과, 재활의학과, 가정의학과, 한방내과, 한방부인과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
322323병원01_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>
323324병원01_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>
324325병원01_01_01_P3480000PHMA22016348001202120000120160428<NA>1영업/정상13영업중<NA><NA><NA><NA>053-295-7000<NA><NA>대구광역시 달성군 가창면 옥분리 471번지대구광역시 달성군 가창면 가창로85길 24-642939가창파티마요양병원20211223174000U2021-12-25 02:40:00.0요양병원(일반요양병원)349129.592116251170.945308요양병원(일반요양병원)22291763854.21301 122 110 104 101내과, 외과, 산부인과, 가정의학과, 한방내과<NA><NA><NA>00<NA><NA>0<NA>
325326병원01_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>
326327병원01_01_01_P3480000PHMA22019348001202120000120190730<NA>1영업/정상13영업중<NA><NA><NA><NA>053-582-7777<NA><NA>대구광역시 달성군 다사읍 부곡리 693번지대구광역시 달성군 다사읍 달구벌대로109길 12-6, 1~4층42906문양요양병원20211020160726U2021-10-22 02:40:00.0요양병원(일반요양병원)330079.993973262406.313187요양병원(일반요양병원)17371994467.18308 306 305 304 302 301 122 120 110 104 101내과, 외과, 산부인과, 재활의학과, 가정의학과, 한방내과, 한방부인과, 한방안·이비인후·피부과, 한방신경정신과, 한방재활의학과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
327328병원01_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 02:40:00.0병원332873.588441244686.529495병원2027422689.83111 110 109 101내과, 마취통증의학과, 산부인과, 소아청소년과<NA><NA><NA>00<NA><NA>0<NA>
328329병원01_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 02:40:00.0병원331472.884846244602.49526병원1318371379.1111소아청소년과<NA><NA><NA>00<NA><NA>0<NA>
329330병원01_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)331533.215218244462.838707요양병원(일반요양병원)13401833965.63308 301 122 105 102 101내과, 신경과, 정형외과, 가정의학과, 한방내과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
330331병원01_01_01_P3480000PHMA21999348001202120000119990416<NA>3폐업3폐업20190619<NA><NA><NA>053-611-3300<NA><NA>대구광역시 달성군 현풍읍 성하리 247번지대구광역시 달성군 현풍읍 현풍중앙로 12642999더나은병원20191030114646U2019-11-01 02:40:00.0병원330287.160802245397.659465병원722792856.36101 104 105 106 108 109 111 114 115내과, 외과, 정형외과, 신경외과, 성형외과, 마취통증의학과, 소아청소년과, 피부과, 비뇨의학과<NA><NA><NA>00<NA><NA>0<NA>