Overview

Dataset statistics

Number of variables44
Number of observations318
Missing cells3771
Missing cells (%)27.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory118.4 KiB
Average record size in memory381.4 B

Variable types

Numeric14
Categorical13
Text7
Unsupported9
DateTime1

Dataset

Description22년02월_6270000_대구광역시_01_01_01_P_병원
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092522&dataSetDetailId=DDI_0000092541&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 (94.1%)Imbalance
인허가취소일자 has 318 (100.0%) missing valuesMissing
폐업일자 has 223 (70.1%) missing valuesMissing
휴업시작일자 has 312 (98.1%) missing valuesMissing
재개업일자 has 318 (100.0%) missing valuesMissing
소재지전화 has 15 (4.7%) missing valuesMissing
소재지면적 has 318 (100.0%) missing valuesMissing
소재지우편번호 has 182 (57.2%) missing valuesMissing
소재지전체주소 has 68 (21.4%) missing valuesMissing
도로명전체주소 has 10 (3.1%) missing valuesMissing
도로명우편번호 has 37 (11.6%) missing valuesMissing
좌표정보(X) has 31 (9.7%) missing valuesMissing
좌표정보(Y) has 31 (9.7%) missing valuesMissing
지정취소일자 has 318 (100.0%) missing valuesMissing
완화의료지정형태 has 318 (100.0%) missing valuesMissing
완화의료담당부서명 has 318 (100.0%) missing valuesMissing
총인원 has 318 (100.0%) missing valuesMissing
구조사수 has 318 (100.0%) missing valuesMissing
최초지정일자 has 318 (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 (13.5%) zerosZeros
병상수 has 32 (10.1%) zerosZeros
총면적 has 6 (1.9%) zerosZeros

Reproduction

Analysis started2024-04-18 02:58:06.354124
Analysis finished2024-04-18 02:58:06.913026
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct318
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean159.5
Minimum1
Maximum318
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-18T11:58:06.971756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.85
Q180.25
median159.5
Q3238.75
95-th percentile302.15
Maximum318
Range317
Interquartile range (IQR)158.5

Descriptive statistics

Standard deviation91.942917
Coefficient of variation (CV)0.57644462
Kurtosis-1.2
Mean159.5
Median Absolute Deviation (MAD)79.5
Skewness0
Sum50721
Variance8453.5
MonotonicityStrictly increasing
2024-04-18T11:58:07.086854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
211 1
 
0.3%
218 1
 
0.3%
217 1
 
0.3%
216 1
 
0.3%
215 1
 
0.3%
214 1
 
0.3%
213 1
 
0.3%
212 1
 
0.3%
210 1
 
0.3%
Other values (308) 308
96.9%
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 (%)
318 1
0.3%
317 1
0.3%
316 1
0.3%
315 1
0.3%
314 1
0.3%
313 1
0.3%
312 1
0.3%
311 1
0.3%
310 1
0.3%
309 1
0.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
병원
318 

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 318
100.0%

Length

2024-04-18T11:58:07.223015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:58:07.309533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 318
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
01_01_01_P
318 

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 318
100.0%

Length

2024-04-18T11:58:07.393781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:58:07.474233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_01_01_p 318
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3449276.7
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-18T11:58:07.543150image/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 deviation21950.162
Coefficient of variation (CV)0.0063636999
Kurtosis-1.0281694
Mean3449276.7
Median Absolute Deviation (MAD)20000
Skewness-0.45670191
Sum1.09687 × 109
Variance4.8180961 × 108
MonotonicityIncreasing
2024-04-18T11:58:07.644975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 76
23.9%
3450000 50
15.7%
3460000 50
15.7%
3410000 34
10.7%
3420000 30
 
9.4%
3440000 27
 
8.5%
3480000 26
 
8.2%
3430000 25
 
7.9%
ValueCountFrequency (%)
3410000 34
10.7%
3420000 30
 
9.4%
3430000 25
 
7.9%
3440000 27
 
8.5%
3450000 50
15.7%
3460000 50
15.7%
3470000 76
23.9%
3480000 26
 
8.2%
ValueCountFrequency (%)
3480000 26
 
8.2%
3470000 76
23.9%
3460000 50
15.7%
3450000 50
15.7%
3440000 27
 
8.5%
3430000 25
 
7.9%
3420000 30
 
9.4%
3410000 34
10.7%

관리번호
Text

UNIQUE 

Distinct318
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-04-18T11:58:07.804565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters7950
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

Unique318 ?
Unique (%)100.0%

Sample

1st rowPHMA220173410023021200001
2nd rowPHMA220083410023021200004
3rd rowPHMA220083410023021200003
4th rowPHMA220083410023021200005
5th rowPHMA219743410023021200001
ValueCountFrequency (%)
phma220173410023021200001 1
 
0.3%
phma220193460023021200001 1
 
0.3%
phma220003460023021200003 1
 
0.3%
phma219973460023021200002 1
 
0.3%
phma220213460023021200001 1
 
0.3%
phma220213460023021200002 1
 
0.3%
phma220213460023021200003 1
 
0.3%
phma220203460023021200001 1
 
0.3%
phma220193470022021200002 1
 
0.3%
phma220033460023021200002 1
 
0.3%
Other values (308) 308
96.9%
2024-04-18T11:58:08.082161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2675
33.6%
2 1819
22.9%
1 742
 
9.3%
3 531
 
6.7%
4 416
 
5.2%
P 318
 
4.0%
H 318
 
4.0%
M 318
 
4.0%
A 318
 
4.0%
9 128
 
1.6%
Other values (4) 367
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6678
84.0%
Uppercase Letter 1272
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2675
40.1%
2 1819
27.2%
1 742
 
11.1%
3 531
 
8.0%
4 416
 
6.2%
9 128
 
1.9%
7 123
 
1.8%
5 87
 
1.3%
6 87
 
1.3%
8 70
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
P 318
25.0%
H 318
25.0%
M 318
25.0%
A 318
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6678
84.0%
Latin 1272
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2675
40.1%
2 1819
27.2%
1 742
 
11.1%
3 531
 
8.0%
4 416
 
6.2%
9 128
 
1.9%
7 123
 
1.8%
5 87
 
1.3%
6 87
 
1.3%
8 70
 
1.0%
Latin
ValueCountFrequency (%)
P 318
25.0%
H 318
25.0%
M 318
25.0%
A 318
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7950
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2675
33.6%
2 1819
22.9%
1 742
 
9.3%
3 531
 
6.7%
4 416
 
5.2%
P 318
 
4.0%
H 318
 
4.0%
M 318
 
4.0%
A 318
 
4.0%
9 128
 
1.6%
Other values (4) 367
 
4.6%

인허가일자
Real number (ℝ)

Distinct307
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20074508
Minimum19100907
Maximum20220224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-18T11:58:08.211824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19100907
5-th percentile19922771
Q120040414
median20080920
Q320137900
95-th percentile20200162
Maximum20220224
Range1119317
Interquartile range (IQR)97485.75

Descriptive statistics

Standard deviation105037.38
Coefficient of variation (CV)0.0052323763
Kurtosis24.515252
Mean20074508
Median Absolute Deviation (MAD)50137
Skewness-3.4222227
Sum6.3836935 × 109
Variance1.1032851 × 1010
MonotonicityNot monotonic
2024-04-18T11:58:08.360812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20071126 3
 
0.9%
19990701 2
 
0.6%
19971231 2
 
0.6%
20090831 2
 
0.6%
20121231 2
 
0.6%
20080912 2
 
0.6%
20060102 2
 
0.6%
20200116 2
 
0.6%
20030305 2
 
0.6%
20200902 2
 
0.6%
Other values (297) 297
93.4%
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 (%)
20220224 1
0.3%
20220121 1
0.3%
20210621 1
0.3%
20210413 1
0.3%
20210325 1
0.3%
20210219 1
0.3%
20210215 1
0.3%
20210203 1
0.3%
20201112 1
0.3%
20200902 2
0.6%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing318
Missing (%)100.0%
Memory size2.9 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
1
222 
3
88 
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 (%)
1 222
69.8%
3 88
 
27.7%
4 7
 
2.2%
2 1
 
0.3%

Length

2024-04-18T11:58:08.480724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:58:08.573190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 222
69.8%
3 88
 
27.7%
4 7
 
2.2%
2 1
 
0.3%

영업상태명
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
영업/정상
222 
폐업
88 
취소/말소/만료/정지/중지
 
7
휴업
 
1

Length

Max length14
Median length5
Mean length4.3584906
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 222
69.8%
폐업 88
 
27.7%
취소/말소/만료/정지/중지 7
 
2.2%
휴업 1
 
0.3%

Length

2024-04-18T11:58:08.674367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:58:08.763768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 222
69.8%
폐업 88
 
27.7%
취소/말소/만료/정지/중지 7
 
2.2%
휴업 1
 
0.3%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
13
222 
3
88 
24
 
7
2
 
1

Length

Max length2
Median length2
Mean length1.7201258
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
13 222
69.8%
3 88
 
27.7%
24 7
 
2.2%
2 1
 
0.3%

Length

2024-04-18T11:58:08.858546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:58:08.948662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 222
69.8%
3 88
 
27.7%
24 7
 
2.2%
2 1
 
0.3%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
영업중
222 
폐업
88 
직권폐업
 
7
휴업
 
1

Length

Max length4
Median length3
Mean length2.7421384
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 222
69.8%
폐업 88
 
27.7%
직권폐업 7
 
2.2%
휴업 1
 
0.3%

Length

2024-04-18T11:58:09.045726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:58:09.140152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 222
69.8%
폐업 88
 
27.7%
직권폐업 7
 
2.2%
휴업 1
 
0.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)96.8%
Missing223
Missing (%)70.1%
Infinite0
Infinite (%)0.0%
Mean20141556
Minimum20051222
Maximum20211208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-18T11:58:09.254814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20051222
5-th percentile20081209
Q120111158
median20140602
Q320170766
95-th percentile20210174
Maximum20211208
Range159986
Interquartile range (IQR)59607

Descriptive statistics

Standard deviation37766.181
Coefficient of variation (CV)0.0018750379
Kurtosis-0.69537961
Mean20141556
Median Absolute Deviation (MAD)29708
Skewness0.031065192
Sum1.9134478 × 109
Variance1.4262844 × 109
MonotonicityNot monotonic
2024-04-18T11:58:09.410844image/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%
20160530 1
 
0.3%
20131101 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 (82) 82
 
25.8%
(Missing) 223
70.1%
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 (%)
20211208 1
0.3%
20211031 1
0.3%
20210820 1
0.3%
20210523 1
0.3%
20210301 1
0.3%
20210119 1
0.3%
20200915 1
0.3%
20200828 1
0.3%
20200201 1
0.3%
20190830 2
0.6%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing312
Missing (%)98.1%
Infinite0
Infinite (%)0.0%
Mean20137234
Minimum20080828
Maximum20210331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-18T11:58:09.523866image/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
2024-04-18T11:58:09.623878image/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) 312
98.1%
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 (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
313 
20210930
 
1
20090430
 
1
20160407
 
1
20220331
 
1

Length

Max length8
Median length4
Mean length4.0628931
Min length4

Unique

Unique5 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 313
98.4%
20210930 1
 
0.3%
20090430 1
 
0.3%
20160407 1
 
0.3%
20220331 1
 
0.3%
20091228 1
 
0.3%

Length

2024-04-18T11:58:09.757024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:58:09.858044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 313
98.4%
20210930 1
 
0.3%
20090430 1
 
0.3%
20160407 1
 
0.3%
20220331 1
 
0.3%
20091228 1
 
0.3%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing318
Missing (%)100.0%
Memory size2.9 KiB

소재지전화
Text

MISSING 

Distinct287
Distinct (%)94.7%
Missing15
Missing (%)4.7%
Memory size2.6 KiB
2024-04-18T11:58:10.082755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length11.429043
Min length7

Characters and Unicode

Total characters3463
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

Unique271 ?
Unique (%)89.4%

Sample

1st row053-426-6000
2nd row053-431-1119
3rd row053-383-9119
4th row252-4701
5th row0537193399
ValueCountFrequency (%)
053-951-9119 2
 
0.7%
053-471-2800 2
 
0.7%
053-749-0000 2
 
0.7%
053-632-0808 2
 
0.7%
053-551-9119 2
 
0.7%
1688-7477 2
 
0.7%
053-640-8000 2
 
0.7%
053-572-1100 2
 
0.7%
053-657-2111 2
 
0.7%
053-716-7300 2
 
0.7%
Other values (278) 284
93.4%
2024-04-18T11:58:10.422161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 789
22.8%
- 535
15.4%
5 514
14.8%
3 392
11.3%
1 258
 
7.5%
7 254
 
7.3%
2 192
 
5.5%
6 186
 
5.4%
9 139
 
4.0%
4 102
 
2.9%
Other values (3) 102
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2926
84.5%
Dash Punctuation 535
 
15.4%
Other Punctuation 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 789
27.0%
5 514
17.6%
3 392
13.4%
1 258
 
8.8%
7 254
 
8.7%
2 192
 
6.6%
6 186
 
6.4%
9 139
 
4.8%
4 102
 
3.5%
8 100
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 535
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3463
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 789
22.8%
- 535
15.4%
5 514
14.8%
3 392
11.3%
1 258
 
7.5%
7 254
 
7.3%
2 192
 
5.5%
6 186
 
5.4%
9 139
 
4.0%
4 102
 
2.9%
Other values (3) 102
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3463
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 789
22.8%
- 535
15.4%
5 514
14.8%
3 392
11.3%
1 258
 
7.5%
7 254
 
7.3%
2 192
 
5.5%
6 186
 
5.4%
9 139
 
4.0%
4 102
 
2.9%
Other values (3) 102
 
2.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing318
Missing (%)100.0%
Memory size2.9 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct103
Distinct (%)75.7%
Missing182
Missing (%)57.2%
Infinite0
Infinite (%)0.0%
Mean704933.15
Minimum700113
Maximum711863
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-18T11:58:10.548563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700113
5-th percentile700819
Q1702904.5
median704829.5
Q3706032
95-th percentile711839
Maximum711863
Range11750
Interquartile range (IQR)3127.5

Descriptive statistics

Standard deviation2695.4227
Coefficient of variation (CV)0.0038236571
Kurtosis1.3637819
Mean704933.15
Median Absolute Deviation (MAD)1340.5
Skewness0.94418662
Sum95870909
Variance7265303.4
MonotonicityNot monotonic
2024-04-18T11:58:10.672000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
705813 4
 
1.3%
711839 4
 
1.3%
704808 4
 
1.3%
704807 3
 
0.9%
700819 3
 
0.9%
700421 3
 
0.9%
706840 2
 
0.6%
704907 2
 
0.6%
706032 2
 
0.6%
700113 2
 
0.6%
Other values (93) 107
33.6%
(Missing) 182
57.2%
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
1.3%
711830 1
 
0.3%
711812 2
0.6%
706852 2
0.6%
706841 1
 
0.3%
706840 2
0.6%

소재지전체주소
Text

MISSING 

Distinct235
Distinct (%)94.0%
Missing68
Missing (%)21.4%
Memory size2.6 KiB
2024-04-18T11:58:10.921979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length38
Mean length23.288
Min length10

Characters and Unicode

Total characters5822
Distinct characters165
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

Unique225 ?
Unique (%)90.0%

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 246
 
20.1%
달서구 61
 
5.0%
1호 46
 
3.8%
수성구 42
 
3.4%
북구 29
 
2.4%
중구 26
 
2.1%
서구 24
 
2.0%
달성군 23
 
1.9%
남구 19
 
1.6%
3호 15
 
1.2%
Other values (427) 690
56.5%
2024-04-18T11:58:11.288309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
978
16.8%
구 472
 
8.1%
1 298
 
5.1%
대 277
 
4.8%
시 252
 
4.3%
동 252
 
4.3%
광 248
 
4.3%
역 247
 
4.2%
지 196
 
3.4%
번 177
 
3.0%
Other values (155) 2425
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3418
58.7%
Decimal Number 1256
 
21.6%
Space Separator 978
 
16.8%
Dash Punctuation 66
 
1.1%
Other Punctuation 47
 
0.8%
Math Symbol 19
 
0.3%
Open Punctuation 18
 
0.3%
Close Punctuation 18
 
0.3%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 472
13.8%
대 277
 
8.1%
시 252
 
7.4%
동 252
 
7.4%
광 248
 
7.3%
역 247
 
7.2%
지 196
 
5.7%
번 177
 
5.2%
호 154
 
4.5%
서 88
 
2.6%
Other values (136) 1055
30.9%
Decimal Number
ValueCountFrequency (%)
1 298
23.7%
2 154
12.3%
3 140
11.1%
6 123
9.8%
5 119
 
9.5%
4 116
 
9.2%
7 85
 
6.8%
0 80
 
6.4%
8 72
 
5.7%
9 69
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 43
91.5%
. 4
 
8.5%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
J 1
50.0%
Space Separator
ValueCountFrequency (%)
978
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3418
58.7%
Common 2402
41.3%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 472
13.8%
대 277
 
8.1%
시 252
 
7.4%
동 252
 
7.4%
광 248
 
7.3%
역 247
 
7.2%
지 196
 
5.7%
번 177
 
5.2%
호 154
 
4.5%
서 88
 
2.6%
Other values (136) 1055
30.9%
Common
ValueCountFrequency (%)
978
40.7%
1 298
 
12.4%
2 154
 
6.4%
3 140
 
5.8%
6 123
 
5.1%
5 119
 
5.0%
4 116
 
4.8%
7 85
 
3.5%
0 80
 
3.3%
8 72
 
3.0%
Other values (7) 237
 
9.9%
Latin
ValueCountFrequency (%)
M 1
50.0%
J 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3418
58.7%
ASCII 2404
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
978
40.7%
1 298
 
12.4%
2 154
 
6.4%
3 140
 
5.8%
6 123
 
5.1%
5 119
 
5.0%
4 116
 
4.8%
7 85
 
3.5%
0 80
 
3.3%
8 72
 
3.0%
Other values (9) 239
 
9.9%
Hangul
ValueCountFrequency (%)
구 472
13.8%
대 277
 
8.1%
시 252
 
7.4%
동 252
 
7.4%
광 248
 
7.3%
역 247
 
7.2%
지 196
 
5.7%
번 177
 
5.2%
호 154
 
4.5%
서 88
 
2.6%
Other values (136) 1055
30.9%

도로명전체주소
Text

MISSING 

Distinct282
Distinct (%)91.6%
Missing10
Missing (%)3.1%
Memory size2.6 KiB
2024-04-18T11:58:11.604546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length27.659091
Min length20

Characters and Unicode

Total characters8519
Distinct characters221
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

Unique262 ?
Unique (%)85.1%

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 309
 
18.1%
달서구 76
 
4.4%
수성구 50
 
2.9%
북구 46
 
2.7%
달구벌대로 43
 
2.5%
중구 32
 
1.9%
동구 28
 
1.6%
남구 27
 
1.6%
서구 25
 
1.5%
달성군 24
 
1.4%
Other values (539) 1051
61.4%
2024-04-18T11:58:12.061223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1403
 
16.5%
구 665
 
7.8%
대 452
 
5.3%
동 374
 
4.4%
시 315
 
3.7%
광 311
 
3.7%
역 311
 
3.7%
로 310
 
3.6%
( 296
 
3.5%
) 296
 
3.5%
Other values (211) 3786
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4984
58.5%
Space Separator 1403
 
16.5%
Decimal Number 1249
 
14.7%
Open Punctuation 296
 
3.5%
Close Punctuation 296
 
3.5%
Other Punctuation 220
 
2.6%
Math Symbol 55
 
0.6%
Dash Punctuation 13
 
0.2%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 665
 
13.3%
대 452
 
9.1%
동 374
 
7.5%
시 315
 
6.3%
광 311
 
6.2%
역 311
 
6.2%
로 310
 
6.2%
달 151
 
3.0%
층 119
 
2.4%
성 116
 
2.3%
Other values (192) 1860
37.3%
Decimal Number
ValueCountFrequency (%)
1 278
22.3%
2 198
15.9%
3 129
10.3%
4 107
 
8.6%
5 107
 
8.6%
6 104
 
8.3%
7 101
 
8.1%
0 80
 
6.4%
9 77
 
6.2%
8 68
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
J 1
33.3%
M 1
33.3%
G 1
33.3%
Space Separator
ValueCountFrequency (%)
1403
100.0%
Open Punctuation
ValueCountFrequency (%)
( 296
100.0%
Close Punctuation
ValueCountFrequency (%)
) 296
100.0%
Other Punctuation
ValueCountFrequency (%)
, 220
100.0%
Math Symbol
ValueCountFrequency (%)
~ 55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4984
58.5%
Common 3532
41.5%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 665
 
13.3%
대 452
 
9.1%
동 374
 
7.5%
시 315
 
6.3%
광 311
 
6.2%
역 311
 
6.2%
로 310
 
6.2%
달 151
 
3.0%
층 119
 
2.4%
성 116
 
2.3%
Other values (192) 1860
37.3%
Common
ValueCountFrequency (%)
1403
39.7%
( 296
 
8.4%
) 296
 
8.4%
1 278
 
7.9%
, 220
 
6.2%
2 198
 
5.6%
3 129
 
3.7%
4 107
 
3.0%
5 107
 
3.0%
6 104
 
2.9%
Other values (6) 394
 
11.2%
Latin
ValueCountFrequency (%)
J 1
33.3%
M 1
33.3%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4984
58.5%
ASCII 3535
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1403
39.7%
( 296
 
8.4%
) 296
 
8.4%
1 278
 
7.9%
, 220
 
6.2%
2 198
 
5.6%
3 129
 
3.6%
4 107
 
3.0%
5 107
 
3.0%
6 104
 
2.9%
Other values (9) 397
 
11.2%
Hangul
ValueCountFrequency (%)
구 665
 
13.3%
대 452
 
9.1%
동 374
 
7.5%
시 315
 
6.3%
광 311
 
6.2%
역 311
 
6.2%
로 310
 
6.2%
달 151
 
3.0%
층 119
 
2.4%
성 116
 
2.3%
Other values (192) 1860
37.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct212
Distinct (%)75.4%
Missing37
Missing (%)11.6%
Infinite0
Infinite (%)0.0%
Mean129430.62
Minimum41005
Maximum711870
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-18T11:58:12.178206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41005
5-th percentile41198
Q141777
median42274
Q342781
95-th percentile704920
Maximum711870
Range670865
Interquartile range (IQR)1004

Descriptive statistics

Standard deviation224603.63
Coefficient of variation (CV)1.7353206
Kurtosis2.8180478
Mean129430.62
Median Absolute Deviation (MAD)500
Skewness2.1903812
Sum36370005
Variance5.044679 × 1010
MonotonicityNot monotonic
2024-04-18T11:58:12.294225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41940 4
 
1.3%
41535 4
 
1.3%
42784 4
 
1.3%
41931 3
 
0.9%
42913 3
 
0.9%
42642 3
 
0.9%
41422 3
 
0.9%
42788 3
 
0.9%
42639 3
 
0.9%
43017 3
 
0.9%
Other values (202) 248
78.0%
(Missing) 37
 
11.6%
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

Distinct297
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-04-18T11:58:12.502663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length7.6477987
Min length3

Characters and Unicode

Total characters2432
Distinct characters253
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

Unique281 ?
Unique (%)88.4%

Sample

1st row행복한재활요양병원
2nd row대구효도요양병원
3rd row행복한재활요양병원
4th row대구효도요양병원
5th row대구적십자병원
ValueCountFrequency (%)
라온치과병원 5
 
1.4%
의료법인 5
 
1.4%
행복한재활요양병원 3
 
0.9%
대구효도요양병원 3
 
0.9%
한영한마음아동병원 2
 
0.6%
미주병원 2
 
0.6%
의료법인상보의료재단 2
 
0.6%
의료법인명문의료재단 2
 
0.6%
수성요양병원 2
 
0.6%
효민의료재단 2
 
0.6%
Other values (311) 324
92.0%
2024-04-18T11:58:12.824820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 324
 
13.3%
병 317
 
13.0%
요 110
 
4.5%
양 110
 
4.5%
대 69
 
2.8%
의 67
 
2.8%
료 60
 
2.5%
한 49
 
2.0%
성 47
 
1.9%
구 44
 
1.8%
Other values (243) 1235
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2367
97.3%
Space Separator 35
 
1.4%
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 324
 
13.7%
병 317
 
13.4%
요 110
 
4.6%
양 110
 
4.6%
대 69
 
2.9%
의 67
 
2.8%
료 60
 
2.5%
한 49
 
2.1%
성 47
 
2.0%
구 44
 
1.9%
Other values (231) 1170
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 (%)
35
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 2367
97.3%
Common 57
 
2.3%
Latin 8
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 324
 
13.7%
병 317
 
13.4%
요 110
 
4.6%
양 110
 
4.6%
대 69
 
2.9%
의 67
 
2.8%
료 60
 
2.5%
한 49
 
2.1%
성 47
 
2.0%
구 44
 
1.9%
Other values (231) 1170
49.4%
Common
ValueCountFrequency (%)
35
61.4%
0 6
 
10.5%
( 6
 
10.5%
) 6
 
10.5%
1 3
 
5.3%
4 1
 
1.8%
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 2367
97.3%
ASCII 65
 
2.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 324
 
13.7%
병 317
 
13.4%
요 110
 
4.6%
양 110
 
4.6%
대 69
 
2.9%
의 67
 
2.8%
료 60
 
2.5%
한 49
 
2.1%
성 47
 
2.0%
구 44
 
1.9%
Other values (231) 1170
49.4%
ASCII
ValueCountFrequency (%)
35
53.8%
0 6
 
9.2%
( 6
 
9.2%
) 6
 
9.2%
1 3
 
4.6%
M 2
 
3.1%
S 2
 
3.1%
U 1
 
1.5%
W 1
 
1.5%
K 1
 
1.5%
Other values (2) 2
 
3.1%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct318
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0189581 × 1013
Minimum2.0081114 × 1013
Maximum2.0220228 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-18T11:58:12.942954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0081114 × 1013
5-th percentile2.0110694 × 1013
Q12.0180542 × 1013
median2.0210266 × 1013
Q32.0211229 × 1013
95-th percentile2.0220215 × 1013
Maximum2.0220228 × 1013
Range1.3911401 × 1011
Interquartile range (IQR)3.068695 × 1010

Descriptive statistics

Standard deviation3.6237036 × 1010
Coefficient of variation (CV)0.0017948385
Kurtosis0.89132844
Mean2.0189581 × 1013
Median Absolute Deviation (MAD)9.8529907 × 109
Skewness-1.4193624
Sum6.4202866 × 1015
Variance1.3131228 × 1021
MonotonicityNot monotonic
2024-04-18T11:58:13.066837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200828155530 1
 
0.3%
20210126155439 1
 
0.3%
20210803112159 1
 
0.3%
20211221165302 1
 
0.3%
20150217092052 1
 
0.3%
20100122143300 1
 
0.3%
20220106180943 1
 
0.3%
20210819180351 1
 
0.3%
20220106181056 1
 
0.3%
20220107095730 1
 
0.3%
Other values (308) 308
96.9%
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 (%)
20220228180751 1
0.3%
20220228172102 1
0.3%
20220228171611 1
0.3%
20220225161828 1
0.3%
20220225092641 1
0.3%
20220224203756 1
0.3%
20220224203724 1
0.3%
20220224203408 1
0.3%
20220222164307 1
0.3%
20220220115509 1
0.3%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
U
233 
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 233
73.3%
I 85
 
26.7%

Length

2024-04-18T11:58:13.182282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:58:13.264471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 233
73.3%
i 85
 
26.7%

데이터갱신일자
Date

Distinct158
Distinct (%)49.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2018-08-31 23:59:59
Maximum2022-03-02 02:40:00
2024-04-18T11:58:13.353225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T11:58:13.463319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
병원
144 
요양병원(일반요양병원)
111 
치과병원
26 
종합병원
19 
한방병원
17 

Length

Max length12
Median length10
Mean length5.9056604
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 144
45.3%
요양병원(일반요양병원) 111
34.9%
치과병원 26
 
8.2%
종합병원 19
 
6.0%
한방병원 17
 
5.3%
요양병원(정신병원) 1
 
0.3%

Length

2024-04-18T11:58:13.570129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:58:13.659318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 144
45.3%
요양병원(일반요양병원 111
34.9%
치과병원 26
 
8.2%
종합병원 19
 
6.0%
한방병원 17
 
5.3%
요양병원(정신병원 1
 
0.3%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct236
Distinct (%)82.2%
Missing31
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean342593.3
Minimum329067.64
Maximum355866.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-18T11:58:13.780353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum329067.64
5-th percentile334924.37
Q1339735.44
median342066.53
Q3345699.07
95-th percentile350124.98
Maximum355866.66
Range26799.013
Interquartile range (IQR)5963.6321

Descriptive statistics

Standard deviation4836.2088
Coefficient of variation (CV)0.014116472
Kurtosis0.7027157
Mean342593.3
Median Absolute Deviation (MAD)2970.3891
Skewness0.1489513
Sum98324276
Variance23388916
MonotonicityNot monotonic
2024-04-18T11:58:13.903129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
334924.366071 5
 
1.6%
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 (226) 255
80.2%
(Missing) 31
 
9.7%
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 

Distinct236
Distinct (%)82.2%
Missing31
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean262939.28
Minimum244558
Maximum274628.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-18T11:58:14.032441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244558
5-th percentile257028.53
Q1261005.51
median262972.99
Q3265015.92
95-th percentile271199.03
Maximum274628.02
Range30070.023
Interquartile range (IQR)4010.4077

Descriptive statistics

Standard deviation4400.2749
Coefficient of variation (CV)0.016734947
Kurtosis4.2281049
Mean262939.28
Median Absolute Deviation (MAD)2042.9318
Skewness-0.88022468
Sum75463573
Variance19362419
MonotonicityNot monotonic
2024-04-18T11:58:14.146022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
256766.769218 5
 
1.6%
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 (226) 255
80.2%
(Missing) 31
 
9.7%
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
1.6%
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 (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
병원
144 
요양병원(일반요양병원)
111 
치과병원
26 
종합병원
19 
한방병원
17 

Length

Max length12
Median length10
Mean length5.9056604
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 144
45.3%
요양병원(일반요양병원) 111
34.9%
치과병원 26
 
8.2%
종합병원 19
 
6.0%
한방병원 17
 
5.3%
요양병원(정신병원) 1
 
0.3%

Length

2024-04-18T11:58:14.263302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:58:14.356742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 144
45.3%
요양병원(일반요양병원 111
34.9%
치과병원 26
 
8.2%
종합병원 19
 
6.0%
한방병원 17
 
5.3%
요양병원(정신병원 1
 
0.3%

의료인수
Real number (ℝ)

Distinct81
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.54717
Minimum0
Maximum1799
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-18T11:58:14.460629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18
median19
Q333
95-th percentile118.3
Maximum1799
Range1799
Interquartile range (IQR)25

Descriptive statistics

Standard deviation192.06217
Coefficient of variation (CV)3.6550431
Kurtosis61.862583
Mean52.54717
Median Absolute Deviation (MAD)12
Skewness7.6882602
Sum16710
Variance36887.876
MonotonicityNot monotonic
2024-04-18T11:58:14.593009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 20
 
6.3%
1 14
 
4.4%
4 13
 
4.1%
20 13
 
4.1%
5 11
 
3.5%
17 11
 
3.5%
7 10
 
3.1%
3 9
 
2.8%
12 9
 
2.8%
26 9
 
2.8%
Other values (71) 199
62.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 14
4.4%
2 20
6.3%
3 9
2.8%
4 13
4.1%
5 11
3.5%
6 1
 
0.3%
7 10
3.1%
8 8
 
2.5%
9 8
 
2.5%
ValueCountFrequency (%)
1799 1
0.3%
1720 1
0.3%
1688 1
0.3%
1352 1
0.3%
802 1
0.3%
614 1
0.3%
358 1
0.3%
247 1
0.3%
205 1
0.3%
163 1
0.3%

입원실수
Real number (ℝ)

ZEROS 

Distinct76
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.591195
Minimum0
Maximum301
Zeros43
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-18T11:58:14.713900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median26
Q338
95-th percentile69
Maximum301
Range301
Interquartile range (IQR)23

Descriptive statistics

Standard deviation37.256924
Coefficient of variation (CV)1.1793452
Kurtosis22.888981
Mean31.591195
Median Absolute Deviation (MAD)11.5
Skewness4.2371828
Sum10046
Variance1388.0784
MonotonicityNot monotonic
2024-04-18T11:58:14.828618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43
 
13.5%
16 12
 
3.8%
33 10
 
3.1%
20 9
 
2.8%
24 9
 
2.8%
28 8
 
2.5%
21 8
 
2.5%
22 8
 
2.5%
29 8
 
2.5%
43 8
 
2.5%
Other values (66) 195
61.3%
ValueCountFrequency (%)
0 43
13.5%
4 2
 
0.6%
5 1
 
0.3%
6 3
 
0.9%
7 2
 
0.6%
8 4
 
1.3%
9 2
 
0.6%
10 7
 
2.2%
11 4
 
1.3%
12 4
 
1.3%
ValueCountFrequency (%)
301 1
0.3%
279 1
0.3%
244 1
0.3%
227 1
0.3%
210 1
0.3%
200 2
0.6%
156 1
0.3%
116 1
0.3%
93 1
0.3%
84 1
0.3%

병상수
Real number (ℝ)

ZEROS 

Distinct168
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143.08805
Minimum0
Maximum1003
Zeros32
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-18T11:58:14.943893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q155
median118
Q3196.5
95-th percentile300.8
Maximum1003
Range1003
Interquartile range (IQR)141.5

Descriptive statistics

Standard deviation140.48655
Coefficient of variation (CV)0.98181891
Kurtosis16.160307
Mean143.08805
Median Absolute Deviation (MAD)70
Skewness3.2859854
Sum45502
Variance19736.472
MonotonicityNot monotonic
2024-04-18T11:58:15.063735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
10.1%
199 10
 
3.1%
30 10
 
3.1%
99 9
 
2.8%
70 6
 
1.9%
183 5
 
1.6%
38 5
 
1.6%
180 5
 
1.6%
200 5
 
1.6%
188 4
 
1.3%
Other values (158) 227
71.4%
ValueCountFrequency (%)
0 32
10.1%
12 1
 
0.3%
15 1
 
0.3%
29 1
 
0.3%
30 10
 
3.1%
32 1
 
0.3%
33 1
 
0.3%
34 1
 
0.3%
35 1
 
0.3%
36 2
 
0.6%
ValueCountFrequency (%)
1003 1
0.3%
1001 1
0.3%
961 1
0.3%
912 1
0.3%
874 1
0.3%
658 1
0.3%
554 1
0.3%
475 1
0.3%
380 1
0.3%
362 1
0.3%

총면적
Real number (ℝ)

ZEROS 

Distinct305
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6047.9495
Minimum0
Maximum179152
Zeros6
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-18T11:58:15.183869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile657.805
Q11953.235
median3070
Q34797.125
95-th percentile11329.911
Maximum179152
Range179152
Interquartile range (IQR)2843.89

Descriptive statistics

Standard deviation15721.565
Coefficient of variation (CV)2.5994868
Kurtosis65.38439
Mean6047.9495
Median Absolute Deviation (MAD)1387.285
Skewness7.5603622
Sum1923247.9
Variance2.4716759 × 108
MonotonicityNot monotonic
2024-04-18T11:58:15.295805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
1.9%
2154.59 3
 
0.9%
2534.19 2
 
0.6%
2820.0 2
 
0.6%
3802.0 2
 
0.6%
4017.87 2
 
0.6%
1236.88 2
 
0.6%
3394.45 2
 
0.6%
999.6 1
 
0.3%
4019.83 1
 
0.3%
Other values (295) 295
92.8%
ValueCountFrequency (%)
0.0 6
1.9%
255.9 1
 
0.3%
401.42 1
 
0.3%
413.73 1
 
0.3%
489.0 1
 
0.3%
571.24 1
 
0.3%
577.6 1
 
0.3%
596.0 1
 
0.3%
625.79 1
 
0.3%
629.82 1
 
0.3%
ValueCountFrequency (%)
179152.0 1
0.3%
126758.47 1
0.3%
95604.71 1
0.3%
94885.0 1
0.3%
88242.7 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

Distinct288
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-04-18T11:58:15.467252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length127
Median length79
Mean length29.427673
Min length3

Characters and Unicode

Total characters9358
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

Unique272 ?
Unique (%)85.5%

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 (%)
101 254
 
10.5%
122 166
 
6.9%
102 145
 
6.0%
104 141
 
5.8%
105 139
 
5.8%
120 120
 
5.0%
301 115
 
4.8%
106 107
 
4.4%
109 105
 
4.4%
111 100
 
4.1%
Other values (43) 1020
42.3%
2024-04-18T11:58:15.785004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2744
29.3%
2094
22.4%
0 1808
19.3%
2 717
 
7.7%
3 628
 
6.7%
4 443
 
4.7%
6 273
 
2.9%
5 272
 
2.9%
9 153
 
1.6%
8 140
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7264
77.6%
Space Separator 2094
 
22.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2744
37.8%
0 1808
24.9%
2 717
 
9.9%
3 628
 
8.6%
4 443
 
6.1%
6 273
 
3.8%
5 272
 
3.7%
9 153
 
2.1%
8 140
 
1.9%
7 86
 
1.2%
Space Separator
ValueCountFrequency (%)
2094
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9358
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2744
29.3%
2094
22.4%
0 1808
19.3%
2 717
 
7.7%
3 628
 
6.7%
4 443
 
4.7%
6 273
 
2.9%
5 272
 
2.9%
9 153
 
1.6%
8 140
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9358
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2744
29.3%
2094
22.4%
0 1808
19.3%
2 717
 
7.7%
3 628
 
6.7%
4 443
 
4.7%
6 273
 
2.9%
5 272
 
2.9%
9 153
 
1.6%
8 140
 
1.5%

진료과목내용명
Text

Distinct272
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-04-18T11:58:15.958781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length209
Median length85
Mean length46.518868
Min length2

Characters and Unicode

Total characters14793
Distinct characters69
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

Unique249 ?
Unique (%)78.3%

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 254
 
10.6%
가정의학과 166
 
6.9%
신경과 145
 
6.0%
외과 141
 
5.9%
정형외과 139
 
5.8%
재활의학과 120
 
5.0%
한방내과 115
 
4.8%
신경외과 107
 
4.4%
마취통증의학과 105
 
4.4%
소아청소년과 100
 
4.2%
Other values (36) 1013
42.1%
2024-04-18T11:58:16.253679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 2467
16.7%
, 2087
14.1%
2087
14.1%
학 707
 
4.8%
의 701
 
4.7%
외 438
 
3.0%
정 422
 
2.9%
신 399
 
2.7%
내 386
 
2.6%
방 363
 
2.5%
Other values (59) 4736
32.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10533
71.2%
Other Punctuation 2173
 
14.7%
Space Separator 2087
 
14.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 2467
23.4%
학 707
 
6.7%
의 701
 
6.7%
외 438
 
4.2%
정 422
 
4.0%
신 399
 
3.8%
내 386
 
3.7%
방 363
 
3.4%
한 344
 
3.3%
경 307
 
2.9%
Other values (56) 3999
38.0%
Other Punctuation
ValueCountFrequency (%)
, 2087
96.0%
· 86
 
4.0%
Space Separator
ValueCountFrequency (%)
2087
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10533
71.2%
Common 4260
28.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 2467
23.4%
학 707
 
6.7%
의 701
 
6.7%
외 438
 
4.2%
정 422
 
4.0%
신 399
 
3.8%
내 386
 
3.7%
방 363
 
3.4%
한 344
 
3.3%
경 307
 
2.9%
Other values (56) 3999
38.0%
Common
ValueCountFrequency (%)
, 2087
49.0%
2087
49.0%
· 86
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10533
71.2%
ASCII 4174
 
28.2%
None 86
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 2467
23.4%
학 707
 
6.7%
의 701
 
6.7%
외 438
 
4.2%
정 422
 
4.0%
신 399
 
3.8%
내 386
 
3.7%
방 363
 
3.4%
한 344
 
3.3%
경 307
 
2.9%
Other values (56) 3999
38.0%
ASCII
ValueCountFrequency (%)
, 2087
50.0%
2087
50.0%
None
ValueCountFrequency (%)
· 86
100.0%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing318
Missing (%)100.0%
Memory size2.9 KiB

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing318
Missing (%)100.0%
Memory size2.9 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing318
Missing (%)100.0%
Memory size2.9 KiB

구급차특수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
0
318 

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 (%)
0 318
100.0%

Length

2024-04-18T11:58:16.364553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:58:16.443822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 318
100.0%

구급차일반
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
0
318 

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 (%)
0 318
100.0%

Length

2024-04-18T11:58:16.525828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:58:16.623183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 318
100.0%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing318
Missing (%)100.0%
Memory size2.9 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing318
Missing (%)100.0%
Memory size2.9 KiB

허가병상수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
0
318 

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 (%)
0 318
100.0%

Length

2024-04-18T11:58:16.707676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:58:16.787013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 318
100.0%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing318
Missing (%)100.0%
Memory size2.9 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)41901행복한재활요양병원20200828155530U2020-08-30 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>
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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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317318병원01_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>