Overview

Dataset statistics

Number of variables44
Number of observations23
Missing cells279
Missing cells (%)27.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.7 KiB
Average record size in memory387.7 B

Variable types

Numeric10
Categorical16
Text7
Unsupported10
DateTime1

Dataset

Description6270000_대구광역시_01_01_03_P_부속의료기관_3월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000088936&dataSetDetailId=DDI_0000088991&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
구급차특수 has constant value ""Constant
구급차일반 has constant value ""Constant
허가병상수 has constant value ""Constant
휴업시작일자 is highly imbalanced (74.2%)Imbalance
휴업종료일자 is highly imbalanced (74.2%)Imbalance
입원실수 is highly imbalanced (74.2%)Imbalance
병상수 is highly imbalanced (74.2%)Imbalance
인허가취소일자 has 23 (100.0%) missing valuesMissing
폐업일자 has 14 (60.9%) missing valuesMissing
재개업일자 has 23 (100.0%) missing valuesMissing
소재지전화 has 6 (26.1%) missing valuesMissing
소재지면적 has 23 (100.0%) missing valuesMissing
소재지우편번호 has 9 (39.1%) missing valuesMissing
소재지전체주소 has 3 (13.0%) missing valuesMissing
도로명전체주소 has 2 (8.7%) missing valuesMissing
도로명우편번호 has 9 (39.1%) missing valuesMissing
업태구분명 has 23 (100.0%) missing valuesMissing
좌표정보(X) has 3 (13.0%) missing valuesMissing
좌표정보(Y) has 3 (13.0%) missing valuesMissing
지정취소일자 has 23 (100.0%) missing valuesMissing
완화의료지정형태 has 23 (100.0%) missing valuesMissing
완화의료담당부서명 has 23 (100.0%) missing valuesMissing
총인원 has 23 (100.0%) missing valuesMissing
구조사수 has 23 (100.0%) missing valuesMissing
최초지정일자 has 23 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지정취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료지정형태 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료담당부서명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
구조사수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초지정일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총면적 has 5 (21.7%) zerosZeros

Reproduction

Analysis started2023-12-10 20:29:07.661896
Analysis finished2023-12-10 20:29:08.591303
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T05:29:08.724972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2023-12-11T05:29:08.968080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
부속의료기관
23 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부속의료기관 23
100.0%

Length

2023-12-11T05:29:09.189694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:29:09.353771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부속의료기관 23
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
01_01_03_P
23 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01_01_03_P
2nd row01_01_03_P
3rd row01_01_03_P
4th row01_01_03_P
5th row01_01_03_P

Common Values

ValueCountFrequency (%)
01_01_03_P 23
100.0%

Length

2023-12-11T05:29:09.514119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:29:09.649457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_01_03_p 23
100.0%

개방자치단체코드
Real number (ℝ)

Distinct7
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3448695.7
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T05:29:09.773267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3450000
Q33465000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)35000

Descriptive statistics

Standard deviation23219.182
Coefficient of variation (CV)0.0067327433
Kurtosis-0.92285025
Mean3448695.7
Median Absolute Deviation (MAD)20000
Skewness-0.4714097
Sum79320000
Variance5.3913043 × 108
MonotonicityIncreasing
2023-12-11T05:29:09.950298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3450000 6
26.1%
3460000 4
17.4%
3410000 3
13.0%
3420000 3
13.0%
3470000 3
13.0%
3480000 3
13.0%
3440000 1
 
4.3%
ValueCountFrequency (%)
3410000 3
13.0%
3420000 3
13.0%
3440000 1
 
4.3%
3450000 6
26.1%
3460000 4
17.4%
3470000 3
13.0%
3480000 3
13.0%
ValueCountFrequency (%)
3480000 3
13.0%
3470000 3
13.0%
3460000 4
17.4%
3450000 6
26.1%
3440000 1
 
4.3%
3420000 3
13.0%
3410000 3
13.0%

관리번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T05:29:10.233576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters575
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

Unique23 ?
Unique (%)100.0%

Sample

1st rowPHMA319903410023041300001
2nd rowPHMA320053410023041300001
3rd rowPHMA319953410023041300001
4th rowPHMA320133420023021300001
5th rowPHMA320153420023041300001
ValueCountFrequency (%)
phma319903410023041300001 1
 
4.3%
phma320183450022041300001 1
 
4.3%
phma320053480012041300001 1
 
4.3%
phma320093480012041300001 1
 
4.3%
phma320023470022021300001 1
 
4.3%
phma320103470022041300001 1
 
4.3%
phma319953470022021300001 1
 
4.3%
phma320163460023041300001 1
 
4.3%
phma320123460023021300001 1
 
4.3%
phma320053460023041300001 1
 
4.3%
Other values (13) 13
56.5%
2023-12-11T05:29:10.740631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 190
33.0%
3 82
14.3%
2 69
 
12.0%
1 66
 
11.5%
4 41
 
7.1%
P 23
 
4.0%
H 23
 
4.0%
M 23
 
4.0%
A 23
 
4.0%
5 13
 
2.3%
Other values (4) 22
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 483
84.0%
Uppercase Letter 92
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 190
39.3%
3 82
17.0%
2 69
 
14.3%
1 66
 
13.7%
4 41
 
8.5%
5 13
 
2.7%
9 8
 
1.7%
8 5
 
1.0%
6 5
 
1.0%
7 4
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
P 23
25.0%
H 23
25.0%
M 23
25.0%
A 23
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 483
84.0%
Latin 92
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 190
39.3%
3 82
17.0%
2 69
 
14.3%
1 66
 
13.7%
4 41
 
8.5%
5 13
 
2.7%
9 8
 
1.7%
8 5
 
1.0%
6 5
 
1.0%
7 4
 
0.8%
Latin
ValueCountFrequency (%)
P 23
25.0%
H 23
25.0%
M 23
25.0%
A 23
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 575
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 190
33.0%
3 82
14.3%
2 69
 
12.0%
1 66
 
11.5%
4 41
 
7.1%
P 23
 
4.0%
H 23
 
4.0%
M 23
 
4.0%
A 23
 
4.0%
5 13
 
2.3%
Other values (4) 22
 
3.8%

인허가일자
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20073159
Minimum19820103
Maximum20200319
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T05:29:10.981888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19820103
5-th percentile19905565
Q120050814
median20100811
Q320130670
95-th percentile20178293
Maximum20200319
Range380216
Interquartile range (IQR)79856.5

Descriptive statistics

Standard deviation93267.484
Coefficient of variation (CV)0.0046463779
Kurtosis1.2829999
Mean20073159
Median Absolute Deviation (MAD)49797
Skewness-1.2071909
Sum4.6168266 × 108
Variance8.6988235 × 109
MonotonicityNot monotonic
2023-12-11T05:29:11.156615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
19900604 1
 
4.3%
20050701 1
 
4.3%
20051014 1
 
4.3%
20050927 1
 
4.3%
20090911 1
 
4.3%
20020515 1
 
4.3%
20100811 1
 
4.3%
19950215 1
 
4.3%
20160105 1
 
4.3%
20121116 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
19820103 1
4.3%
19900604 1
4.3%
19950215 1
4.3%
19950330 1
4.3%
20020515 1
4.3%
20050701 1
4.3%
20050927 1
4.3%
20050929 1
4.3%
20051014 1
4.3%
20070309 1
4.3%
ValueCountFrequency (%)
20200319 1
4.3%
20180314 1
4.3%
20160105 1
4.3%
20150413 1
4.3%
20140328 1
4.3%
20131220 1
4.3%
20130121 1
4.3%
20130103 1
4.3%
20121126 1
4.3%
20121116 1
4.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
1
14 
3
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 14
60.9%
3 9
39.1%

Length

2023-12-11T05:29:11.332326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:29:11.493298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 14
60.9%
3 9
39.1%

영업상태명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
영업/정상
14 
폐업
9 

Length

Max length5
Median length5
Mean length3.826087
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 14
60.9%
폐업 9
39.1%

Length

2023-12-11T05:29:11.658947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:29:11.828377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 14
60.9%
폐업 9
39.1%

상세영업상태코드
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
13
13 
3
9 
1
 
1

Length

Max length2
Median length2
Mean length1.5652174
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
13 13
56.5%
3 9
39.1%
1 1
 
4.3%

Length

2023-12-11T05:29:11.981215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:29:12.112655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 13
56.5%
3 9
39.1%
1 1
 
4.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
영업중
13 
폐업
9 
신규
 
1

Length

Max length3
Median length3
Mean length2.5652174
Min length2

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 13
56.5%
폐업 9
39.1%
신규 1
 
4.3%

Length

2023-12-11T05:29:12.267864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:29:12.404240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 13
56.5%
폐업 9
39.1%
신규 1
 
4.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing14
Missing (%)60.9%
Infinite0
Infinite (%)0.0%
Mean20144025
Minimum20101214
Maximum20200511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T05:29:12.559192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20101214
5-th percentile20104975
Q120110805
median20150420
Q320170320
95-th percentile20192709
Maximum20200511
Range99297
Interquartile range (IQR)59515

Descriptive statistics

Standard deviation36551.184
Coefficient of variation (CV)0.0018144926
Kurtosis-1.6308781
Mean20144025
Median Absolute Deviation (MAD)39302
Skewness0.21540542
Sum1.8129622 × 108
Variance1.3359891 × 109
MonotonicityNot monotonic
2023-12-11T05:29:12.723485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20101214 1
 
4.3%
20110805 1
 
4.3%
20150420 1
 
4.3%
20160212 1
 
4.3%
20170320 1
 
4.3%
20181005 1
 
4.3%
20200511 1
 
4.3%
20110616 1
 
4.3%
20111118 1
 
4.3%
(Missing) 14
60.9%
ValueCountFrequency (%)
20101214 1
4.3%
20110616 1
4.3%
20110805 1
4.3%
20111118 1
4.3%
20150420 1
4.3%
20160212 1
4.3%
20170320 1
4.3%
20181005 1
4.3%
20200511 1
4.3%
ValueCountFrequency (%)
20200511 1
4.3%
20181005 1
4.3%
20170320 1
4.3%
20160212 1
4.3%
20150420 1
4.3%
20111118 1
4.3%
20110805 1
4.3%
20110616 1
4.3%
20101214 1
4.3%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
20150210
 
1

Length

Max length8
Median length4
Mean length4.173913
Min length4

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
20150210 1
 
4.3%

Length

2023-12-11T05:29:12.923230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:29:13.068716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
20150210 1
 
4.3%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
20150610
 
1

Length

Max length8
Median length4
Mean length4.173913
Min length4

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
20150610 1
 
4.3%

Length

2023-12-11T05:29:13.236160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:29:13.393504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
20150610 1
 
4.3%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

소재지전화
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing6
Missing (%)26.1%
Memory size316.0 B
2023-12-11T05:29:13.624266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.176471
Min length4

Characters and Unicode

Total characters190
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

Unique17 ?
Unique (%)100.0%

Sample

1st row053-429-8686
2nd row053-607-6382
3rd row053-670-6745
4th row053-607-0283
5th row053-655-8050
ValueCountFrequency (%)
053-429-8686 1
 
5.9%
053-260-7200 1
 
5.9%
053-632-4501 1
 
5.9%
1
 
5.9%
0537576295 1
 
5.9%
053-750-1713 1
 
5.9%
053-740-5272 1
 
5.9%
053-790-6880 1
 
5.9%
053-320-6171 1
 
5.9%
053-607-6382 1
 
5.9%
Other values (7) 7
41.2%
2023-12-11T05:29:14.100652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 33
17.4%
- 33
17.4%
5 29
15.3%
3 21
11.1%
7 15
7.9%
6 14
7.4%
2 13
 
6.8%
8 9
 
4.7%
9 8
 
4.2%
1 8
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 157
82.6%
Dash Punctuation 33
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 33
21.0%
5 29
18.5%
3 21
13.4%
7 15
9.6%
6 14
8.9%
2 13
 
8.3%
8 9
 
5.7%
9 8
 
5.1%
1 8
 
5.1%
4 7
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 190
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 33
17.4%
- 33
17.4%
5 29
15.3%
3 21
11.1%
7 15
7.9%
6 14
7.4%
2 13
 
6.8%
8 9
 
4.7%
9 8
 
4.2%
1 8
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 190
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 33
17.4%
- 33
17.4%
5 29
15.3%
3 21
11.1%
7 15
7.9%
6 14
7.4%
2 13
 
6.8%
8 9
 
4.7%
9 8
 
4.2%
1 8
 
4.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)85.7%
Missing9
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean705254.36
Minimum700731
Maximum711874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T05:29:14.280107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700731
5-th percentile700738.15
Q1702701.25
median704878.5
Q3706021
95-th percentile711845.4
Maximum711874
Range11143
Interquartile range (IQR)3319.75

Descriptive statistics

Standard deviation4041.1097
Coefficient of variation (CV)0.0057300031
Kurtosis-0.61562306
Mean705254.36
Median Absolute Deviation (MAD)2177
Skewness0.7281052
Sum9873561
Variance16330567
MonotonicityNot monotonic
2023-12-11T05:29:14.432492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
706021 2
 
8.7%
711830 2
 
8.7%
700742 1
 
4.3%
700731 1
 
4.3%
700744 1
 
4.3%
705809 1
 
4.3%
702702 1
 
4.3%
702701 1
 
4.3%
702799 1
 
4.3%
704931 1
 
4.3%
Other values (2) 2
 
8.7%
(Missing) 9
39.1%
ValueCountFrequency (%)
700731 1
4.3%
700742 1
4.3%
700744 1
4.3%
702701 1
4.3%
702702 1
4.3%
702799 1
4.3%
704826 1
4.3%
704931 1
4.3%
705809 1
4.3%
706021 2
8.7%
ValueCountFrequency (%)
711874 1
4.3%
711830 2
8.7%
706021 2
8.7%
705809 1
4.3%
704931 1
4.3%
704826 1
4.3%
702799 1
4.3%
702702 1
4.3%
702701 1
4.3%
700744 1
4.3%

소재지전체주소
Text

MISSING 

Distinct19
Distinct (%)95.0%
Missing3
Missing (%)13.0%
Memory size316.0 B
2023-12-11T05:29:14.734243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length24.2
Min length13

Characters and Unicode

Total characters484
Distinct characters84
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)90.0%

Sample

1st row대구광역시 중구 덕산동 110번지 삼성생명빌딩
2nd row대구광역시 중구 동성로2가 88번지 25호 교보생명
3rd row대구광역시 중구 동인동2가 25번지 4호 대한생명빌딩
4th row대구광역시 동구 신서동 1168번지 중앙신체검사소
5th row대구광역시 남구 대명1동 1652번지 21호
ValueCountFrequency (%)
대구광역시 20
 
19.2%
북구 5
 
4.8%
수성구 4
 
3.8%
1호 4
 
3.8%
중구 3
 
2.9%
달서구 3
 
2.9%
달성군 3
 
2.9%
화원읍 2
 
1.9%
만촌1동 2
 
1.9%
산격동 2
 
1.9%
Other values (55) 56
53.8%
2023-12-11T05:29:15.266338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
84
17.4%
구 37
 
7.6%
1 25
 
5.2%
대 23
 
4.8%
광 20
 
4.1%
역 20
 
4.1%
시 20
 
4.1%
동 19
 
3.9%
지 16
 
3.3%
번 16
 
3.3%
Other values (74) 204
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 316
65.3%
Space Separator 84
 
17.4%
Decimal Number 83
 
17.1%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 37
 
11.7%
대 23
 
7.3%
광 20
 
6.3%
역 20
 
6.3%
시 20
 
6.3%
동 19
 
6.0%
지 16
 
5.1%
번 16
 
5.1%
호 12
 
3.8%
성 10
 
3.2%
Other values (62) 123
38.9%
Decimal Number
ValueCountFrequency (%)
1 25
30.1%
4 10
 
12.0%
2 10
 
12.0%
5 8
 
9.6%
7 7
 
8.4%
0 7
 
8.4%
8 5
 
6.0%
6 4
 
4.8%
3 4
 
4.8%
9 3
 
3.6%
Space Separator
ValueCountFrequency (%)
84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 316
65.3%
Common 168
34.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 37
 
11.7%
대 23
 
7.3%
광 20
 
6.3%
역 20
 
6.3%
시 20
 
6.3%
동 19
 
6.0%
지 16
 
5.1%
번 16
 
5.1%
호 12
 
3.8%
성 10
 
3.2%
Other values (62) 123
38.9%
Common
ValueCountFrequency (%)
84
50.0%
1 25
 
14.9%
4 10
 
6.0%
2 10
 
6.0%
5 8
 
4.8%
7 7
 
4.2%
0 7
 
4.2%
8 5
 
3.0%
6 4
 
2.4%
3 4
 
2.4%
Other values (2) 4
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 316
65.3%
ASCII 168
34.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
84
50.0%
1 25
 
14.9%
4 10
 
6.0%
2 10
 
6.0%
5 8
 
4.8%
7 7
 
4.2%
0 7
 
4.2%
8 5
 
3.0%
6 4
 
2.4%
3 4
 
2.4%
Other values (2) 4
 
2.4%
Hangul
ValueCountFrequency (%)
구 37
 
11.7%
대 23
 
7.3%
광 20
 
6.3%
역 20
 
6.3%
시 20
 
6.3%
동 19
 
6.0%
지 16
 
5.1%
번 16
 
5.1%
호 12
 
3.8%
성 10
 
3.2%
Other values (62) 123
38.9%

도로명전체주소
Text

MISSING 

Distinct20
Distinct (%)95.2%
Missing2
Missing (%)8.7%
Memory size316.0 B
2023-12-11T05:29:15.593052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length30
Mean length27.285714
Min length20

Characters and Unicode

Total characters573
Distinct characters101
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)90.5%

Sample

1st row대구광역시 중구 달구벌대로 2095 (덕산동,삼성생명빌딩)
2nd row대구광역시 중구 국채보상로 586 (동성로2가,교보생명)
3rd row대구광역시 중구 공평로 60 (동인동2가)
4th row대구광역시 동구 동내로 63 (동내동)
5th row대구광역시 동구 첨단로 120 (신서동)
ValueCountFrequency (%)
대구광역시 21
 
18.1%
북구 5
 
4.3%
산격동 4
 
3.4%
달구벌대로 3
 
2.6%
달성군 3
 
2.6%
달서구 3
 
2.6%
동구 3
 
2.6%
수성구 3
 
2.6%
중구 3
 
2.6%
대학로 3
 
2.6%
Other values (59) 65
56.0%
2023-12-11T05:29:16.109818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95
 
16.6%
구 45
 
7.9%
대 34
 
5.9%
동 25
 
4.4%
로 22
 
3.8%
광 21
 
3.7%
역 21
 
3.7%
시 21
 
3.7%
( 18
 
3.1%
) 18
 
3.1%
Other values (91) 253
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 360
62.8%
Space Separator 95
 
16.6%
Decimal Number 70
 
12.2%
Open Punctuation 18
 
3.1%
Close Punctuation 18
 
3.1%
Other Punctuation 11
 
1.9%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 45
 
12.5%
대 34
 
9.4%
동 25
 
6.9%
로 22
 
6.1%
광 21
 
5.8%
역 21
 
5.8%
시 21
 
5.8%
달 10
 
2.8%
성 8
 
2.2%
서 6
 
1.7%
Other values (76) 147
40.8%
Decimal Number
ValueCountFrequency (%)
0 12
17.1%
2 10
14.3%
6 10
14.3%
3 8
11.4%
9 7
10.0%
4 6
8.6%
1 6
8.6%
8 5
7.1%
5 5
7.1%
7 1
 
1.4%
Space Separator
ValueCountFrequency (%)
95
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 360
62.8%
Common 213
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 45
 
12.5%
대 34
 
9.4%
동 25
 
6.9%
로 22
 
6.1%
광 21
 
5.8%
역 21
 
5.8%
시 21
 
5.8%
달 10
 
2.8%
성 8
 
2.2%
서 6
 
1.7%
Other values (76) 147
40.8%
Common
ValueCountFrequency (%)
95
44.6%
( 18
 
8.5%
) 18
 
8.5%
0 12
 
5.6%
, 11
 
5.2%
2 10
 
4.7%
6 10
 
4.7%
3 8
 
3.8%
9 7
 
3.3%
4 6
 
2.8%
Other values (5) 18
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 360
62.8%
ASCII 213
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
95
44.6%
( 18
 
8.5%
) 18
 
8.5%
0 12
 
5.6%
, 11
 
5.2%
2 10
 
4.7%
6 10
 
4.7%
3 8
 
3.8%
9 7
 
3.3%
4 6
 
2.8%
Other values (5) 18
 
8.5%
Hangul
ValueCountFrequency (%)
구 45
 
12.5%
대 34
 
9.4%
동 25
 
6.9%
로 22
 
6.1%
광 21
 
5.8%
역 21
 
5.8%
시 21
 
5.8%
달 10
 
2.8%
성 8
 
2.2%
서 6
 
1.7%
Other values (76) 147
40.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)85.7%
Missing9
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean88991.214
Minimum41062
Maximum701310
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T05:29:16.274388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41062
5-th percentile41066.55
Q141548
median41752.5
Q342515.75
95-th percentile273385.1
Maximum701310
Range660248
Interquartile range (IQR)967.75

Descriptive statistics

Standard deviation176238.55
Coefficient of variation (CV)1.980404
Kurtosis13.99957
Mean88991.214
Median Absolute Deviation (MAD)409
Skewness3.7415769
Sum1245877
Variance3.1060028 × 1010
MonotonicityNot monotonic
2023-12-11T05:29:16.408092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
41566 3
 
13.0%
41939 1
 
4.3%
701310 1
 
4.3%
41062 1
 
4.3%
41069 1
 
4.3%
41542 1
 
4.3%
41442 1
 
4.3%
42260 1
 
4.3%
42027 1
 
4.3%
42601 1
 
4.3%
Other values (2) 2
 
8.7%
(Missing) 9
39.1%
ValueCountFrequency (%)
41062 1
 
4.3%
41069 1
 
4.3%
41442 1
 
4.3%
41542 1
 
4.3%
41566 3
13.0%
41939 1
 
4.3%
42027 1
 
4.3%
42260 1
 
4.3%
42601 1
 
4.3%
42963 1
 
4.3%
ValueCountFrequency (%)
701310 1
 
4.3%
42964 1
 
4.3%
42963 1
 
4.3%
42601 1
 
4.3%
42260 1
 
4.3%
42027 1
 
4.3%
41939 1
 
4.3%
41566 3
13.0%
41542 1
 
4.3%
41442 1
 
4.3%

사업장명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T05:29:16.655687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length13.434783
Min length7

Characters and Unicode

Total characters309
Distinct characters90
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row삼성생명대구부속의원
2nd row교보생명(주)부속의원
3rd row한화생명(주)대구부속의원
4th row대구경북지방병무청
5th row한국가스공사 부속한의원
ValueCountFrequency (%)
부속의원 4
 
10.5%
부속 2
 
5.3%
재)대구광역시사회서비스원 1
 
2.6%
대구교도소 1
 
2.6%
대구의료소비자생활협동조합약손부속한의원 1
 
2.6%
계명대학교보건진료센터 1
 
2.6%
행복한우리한의원 1
 
2.6%
대경의료소비자생활협동조합 1
 
2.6%
대구소년원 1
 
2.6%
지방병무청(징병검사장 1
 
2.6%
Other values (24) 24
63.2%
2023-12-11T05:29:17.171585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 20
 
6.5%
의 20
 
6.5%
부 19
 
6.1%
대 18
 
5.8%
속 15
 
4.9%
15
 
4.9%
구 12
 
3.9%
소 8
 
2.6%
사 7
 
2.3%
경 7
 
2.3%
Other values (80) 168
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 279
90.3%
Space Separator 15
 
4.9%
Decimal Number 6
 
1.9%
Close Punctuation 4
 
1.3%
Open Punctuation 4
 
1.3%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 20
 
7.2%
의 20
 
7.2%
부 19
 
6.8%
대 18
 
6.5%
속 15
 
5.4%
구 12
 
4.3%
소 8
 
2.9%
사 7
 
2.5%
경 7
 
2.5%
무 7
 
2.5%
Other values (72) 146
52.3%
Decimal Number
ValueCountFrequency (%)
5 3
50.0%
7 1
 
16.7%
6 1
 
16.7%
2 1
 
16.7%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 279
90.3%
Common 30
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 20
 
7.2%
의 20
 
7.2%
부 19
 
6.8%
대 18
 
6.5%
속 15
 
5.4%
구 12
 
4.3%
소 8
 
2.9%
사 7
 
2.5%
경 7
 
2.5%
무 7
 
2.5%
Other values (72) 146
52.3%
Common
ValueCountFrequency (%)
15
50.0%
) 4
 
13.3%
( 4
 
13.3%
5 3
 
10.0%
. 1
 
3.3%
7 1
 
3.3%
6 1
 
3.3%
2 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 279
90.3%
ASCII 30
 
9.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 20
 
7.2%
의 20
 
7.2%
부 19
 
6.8%
대 18
 
6.5%
속 15
 
5.4%
구 12
 
4.3%
소 8
 
2.9%
사 7
 
2.5%
경 7
 
2.5%
무 7
 
2.5%
Other values (72) 146
52.3%
ASCII
ValueCountFrequency (%)
15
50.0%
) 4
 
13.3%
( 4
 
13.3%
5 3
 
10.0%
. 1
 
3.3%
7 1
 
3.3%
6 1
 
3.3%
2 1
 
3.3%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0161124 × 1013
Minimum2.0081222 × 1013
Maximum2.0210216 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T05:29:17.338839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0081222 × 1013
5-th percentile2.0102154 × 1013
Q12.0140269 × 1013
median2.0170626 × 1013
Q32.0190776 × 1013
95-th percentile2.0200965 × 1013
Maximum2.0210216 × 1013
Range1.2899394 × 1011
Interquartile range (IQR)5.0507428 × 1010

Descriptive statistics

Standard deviation3.6869368 × 1010
Coefficient of variation (CV)0.0018287357
Kurtosis-0.55870143
Mean2.0161124 × 1013
Median Absolute Deviation (MAD)2.0298068 × 1010
Skewness-0.72694541
Sum4.6370586 × 1014
Variance1.3593503 × 1021
MonotonicityNot monotonic
2023-12-11T05:29:17.492200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
20101214104749 1
 
4.3%
20110805160635 1
 
4.3%
20210216092051 1
 
4.3%
20201015234320 1
 
4.3%
20111118140116 1
 
4.3%
20170626102743 1
 
4.3%
20110616151538 1
 
4.3%
20081222151134 1
 
4.3%
20170905183836 1
 
4.3%
20130117171613 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
20081222151134 1
4.3%
20101214104749 1
4.3%
20110616151538 1
4.3%
20110805160635 1
4.3%
20111118140116 1
4.3%
20130117171613 1
4.3%
20150420165125 1
4.3%
20150804101153 1
4.3%
20160204151528 1
4.3%
20160519165707 1
4.3%
ValueCountFrequency (%)
20210216092051 1
4.3%
20201015234320 1
4.3%
20200511171741 1
4.3%
20200106093858 1
4.3%
20191117153032 1
4.3%
20190924170524 1
4.3%
20190628021314 1
4.3%
20181218142515 1
4.3%
20181005174226 1
4.3%
20180226171336 1
4.3%

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
I
15 
U
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 15
65.2%
U 8
34.8%

Length

2023-12-11T05:29:17.711248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:29:17.847573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 15
65.2%
u 8
34.8%

데이터갱신일자
Date

Distinct10
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2018-08-31 23:59:59
Maximum2021-02-18 02:40:00
2023-12-11T05:29:17.966851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:29:18.112160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)95.0%
Missing3
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean344631.97
Minimum330618.59
Maximum356646.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T05:29:18.300699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330618.59
5-th percentile334269.35
Q1339697.17
median344469.34
Q3347745.05
95-th percentile356488.43
Maximum356646.81
Range26028.22
Interquartile range (IQR)8047.8788

Descriptive statistics

Standard deviation7114.4131
Coefficient of variation (CV)0.020643509
Kurtosis-0.22181419
Mean344631.97
Median Absolute Deviation (MAD)4789.3684
Skewness0.095724469
Sum6892639.4
Variance50614874
MonotonicityNot monotonic
2023-12-11T05:29:18.445319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
345299.742438 2
 
8.7%
351717.924964 1
 
4.3%
336403.914141 1
 
4.3%
330618.588632 1
 
4.3%
334461.497981 1
 
4.3%
339645.577432 1
 
4.3%
338628.073956 1
 
4.3%
347069.235422 1
 
4.3%
349772.49497 1
 
4.3%
343787.134091 1
 
4.3%
Other values (9) 9
39.1%
(Missing) 3
 
13.0%
ValueCountFrequency (%)
330618.588632 1
4.3%
334461.497981 1
4.3%
336403.914141 1
4.3%
338628.073956 1
4.3%
339645.577432 1
4.3%
339714.369569 1
4.3%
342189.922983 1
4.3%
343787.134091 1
4.3%
343959.823762 1
4.3%
344458.93985 1
4.3%
ValueCountFrequency (%)
356646.809082 1
4.3%
356480.098926 1
4.3%
356126.992895 1
4.3%
351717.924964 1
4.3%
349772.49497 1
4.3%
347069.235422 1
4.3%
345878.769281 1
4.3%
345299.742438 2
8.7%
344479.743965 1
4.3%
344458.93985 1
4.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)95.0%
Missing3
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean263435.27
Minimum244872.48
Maximum272371.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T05:29:18.572156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244872.48
5-th percentile256540.37
Q1262508.05
median264245.78
Q3266644.52
95-th percentile267553.96
Maximum272371.3
Range27498.819
Interquartile range (IQR)4136.4662

Descriptive statistics

Standard deviation5433.2239
Coefficient of variation (CV)0.020624512
Kurtosis7.0512498
Mean263435.27
Median Absolute Deviation (MAD)2338.6096
Skewness-2.1053262
Sum5268705.3
Variance29519922
MonotonicityNot monotonic
2023-12-11T05:29:18.961893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
266806.443246 2
 
8.7%
261913.320979 1
 
4.3%
257154.473733 1
 
4.3%
244872.476579 1
 
4.3%
263382.292266 1
 
4.3%
259411.291951 1
 
4.3%
262706.292593 1
 
4.3%
263772.118369 1
 
4.3%
263039.872216 1
 
4.3%
264065.576741 1
 
4.3%
Other values (9) 9
39.1%
(Missing) 3
 
13.0%
ValueCountFrequency (%)
244872.476579 1
4.3%
257154.473733 1
4.3%
259411.291951 1
4.3%
261238.36273 1
4.3%
261913.320979 1
4.3%
262706.292593 1
4.3%
263039.872216 1
4.3%
263382.292266 1
4.3%
263772.118369 1
4.3%
264065.576741 1
4.3%
ValueCountFrequency (%)
272371.295976 1
4.3%
267300.418087 1
4.3%
267007.8061 1
4.3%
266806.443246 2
8.7%
266590.540109 1
4.3%
265795.089351 1
4.3%
265515.821289 1
4.3%
264529.39356 1
4.3%
264425.992758 1
4.3%
264065.576741 1
4.3%

의료기관종별명
Categorical

Distinct4
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size316.0 B
부속의원
15 
병무청
3 
군부대시설
3 
학교시설
2 

Length

Max length5
Median length4
Mean length4
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부속의원
2nd row부속의원
3rd row부속의원
4th row병무청
5th row부속의원

Common Values

ValueCountFrequency (%)
부속의원 15
65.2%
병무청 3
 
13.0%
군부대시설 3
 
13.0%
학교시설 2
 
8.7%

Length

2023-12-11T05:29:19.149747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:29:19.285027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부속의원 15
65.2%
병무청 3
 
13.0%
군부대시설 3
 
13.0%
학교시설 2
 
8.7%

의료인수
Categorical

Distinct5
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
1
16 
2
3 
3
2 
0
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)8.7%

Sample

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

Common Values

ValueCountFrequency (%)
1 16
69.6%
2 3
 
13.0%
3 2
 
8.7%
0 1
 
4.3%
4 1
 
4.3%

Length

2023-12-11T05:29:19.412492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:29:19.556523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 16
69.6%
2 3
 
13.0%
3 2
 
8.7%
0 1
 
4.3%
4 1
 
4.3%

입원실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
0
22 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 22
95.7%
1 1
 
4.3%

Length

2023-12-11T05:29:19.692027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:29:19.828480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
95.7%
1 1
 
4.3%

병상수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
0
22 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 22
95.7%
1 1
 
4.3%

Length

2023-12-11T05:29:19.976737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:29:20.107090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
95.7%
1 1
 
4.3%

총면적
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56808.204
Minimum0
Maximum1302334
Zeros5
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T05:29:20.240388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q121.83
median133.5
Q3356.5
95-th percentile756.198
Maximum1302334
Range1302334
Interquartile range (IQR)334.67

Descriptive statistics

Standard deviation271515.18
Coefficient of variation (CV)4.7795064
Kurtosis22.999965
Mean56808.204
Median Absolute Deviation (MAD)133.5
Skewness4.7958263
Sum1306588.7
Variance7.3720491 × 1010
MonotonicityNot monotonic
2023-12-11T05:29:20.440225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 5
21.7%
482.0 1
 
4.3%
165.0 1
 
4.3%
1302334.0 1
 
4.3%
161.0 1
 
4.3%
181.0 1
 
4.3%
269.0 1
 
4.3%
69.8 1
 
4.3%
1.0 1
 
4.3%
771.1 1
 
4.3%
Other values (9) 9
39.1%
ValueCountFrequency (%)
0.0 5
21.7%
1.0 1
 
4.3%
42.66 1
 
4.3%
58.8 1
 
4.3%
69.36 1
 
4.3%
69.8 1
 
4.3%
105.6 1
 
4.3%
133.5 1
 
4.3%
161.0 1
 
4.3%
163.8 1
 
4.3%
ValueCountFrequency (%)
1302334.0 1
4.3%
771.1 1
4.3%
622.08 1
4.3%
515.0 1
4.3%
482.0 1
4.3%
444.0 1
4.3%
269.0 1
4.3%
181.0 1
4.3%
165.0 1
4.3%
163.8 1
4.3%

진료과목내용
Text

Distinct18
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T05:29:20.694943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length3
Mean length12.217391
Min length3

Characters and Unicode

Total characters281
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

Unique14 ?
Unique (%)60.9%

Sample

1st row101 104
2nd row122 116 119
3rd row101
4th row604
5th row301 302 303 304 305 306 307 308 309
ValueCountFrequency (%)
101 8
 
10.5%
122 5
 
6.6%
104 4
 
5.3%
305 3
 
3.9%
102 3
 
3.9%
103 3
 
3.9%
308 3
 
3.9%
307 3
 
3.9%
306 3
 
3.9%
604 3
 
3.9%
Other values (21) 38
50.0%
2023-12-11T05:29:21.144597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 67
23.8%
0 59
21.0%
53
18.9%
3 34
12.1%
2 18
 
6.4%
6 15
 
5.3%
4 13
 
4.6%
5 8
 
2.8%
7 6
 
2.1%
9 5
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 228
81.1%
Space Separator 53
 
18.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 67
29.4%
0 59
25.9%
3 34
14.9%
2 18
 
7.9%
6 15
 
6.6%
4 13
 
5.7%
5 8
 
3.5%
7 6
 
2.6%
9 5
 
2.2%
8 3
 
1.3%
Space Separator
ValueCountFrequency (%)
53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 281
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 67
23.8%
0 59
21.0%
53
18.9%
3 34
12.1%
2 18
 
6.4%
6 15
 
5.3%
4 13
 
4.6%
5 8
 
2.8%
7 6
 
2.1%
9 5
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 281
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 67
23.8%
0 59
21.0%
53
18.9%
3 34
12.1%
2 18
 
6.4%
6 15
 
5.3%
4 13
 
4.6%
5 8
 
2.8%
7 6
 
2.1%
9 5
 
1.8%

진료과목내용명
Text

Distinct18
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T05:29:21.441680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length41
Mean length19.434783
Min length2

Characters and Unicode

Total characters447
Distinct characters58
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

Unique14 ?
Unique (%)60.9%

Sample

1st row내과, 외과
2nd row영상의학과, 진단검사의학과, 가정의학과
3rd row내과
4th row병무청
5th row한방응급과, 침구과, 사상체질과, 한방재활의학과, 한방신경정신과, 한방안·이비인후·피부과, 한방소아과, 한방부인과, 한방내과
ValueCountFrequency (%)
내과 8
 
10.5%
가정의학과 5
 
6.6%
외과 4
 
5.3%
한방안·이비인후·피부과 3
 
3.9%
신경과 3
 
3.9%
정신건강의학과 3
 
3.9%
한방내과 3
 
3.9%
한방부인과 3
 
3.9%
한방소아과 3
 
3.9%
병무청 3
 
3.9%
Other values (21) 38
50.0%
2023-12-11T05:29:21.956081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 68
15.2%
53
 
11.9%
, 53
 
11.9%
방 20
 
4.5%
한 20
 
4.5%
학 19
 
4.3%
의 18
 
4.0%
신 13
 
2.9%
정 13
 
2.9%
내 11
 
2.5%
Other values (48) 159
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 335
74.9%
Other Punctuation 59
 
13.2%
Space Separator 53
 
11.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 68
20.3%
방 20
 
6.0%
한 20
 
6.0%
학 19
 
5.7%
의 18
 
5.4%
신 13
 
3.9%
정 13
 
3.9%
내 11
 
3.3%
부 10
 
3.0%
인 9
 
2.7%
Other values (45) 134
40.0%
Other Punctuation
ValueCountFrequency (%)
, 53
89.8%
· 6
 
10.2%
Space Separator
ValueCountFrequency (%)
53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 335
74.9%
Common 112
 
25.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 68
20.3%
방 20
 
6.0%
한 20
 
6.0%
학 19
 
5.7%
의 18
 
5.4%
신 13
 
3.9%
정 13
 
3.9%
내 11
 
3.3%
부 10
 
3.0%
인 9
 
2.7%
Other values (45) 134
40.0%
Common
ValueCountFrequency (%)
53
47.3%
, 53
47.3%
· 6
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 335
74.9%
ASCII 106
 
23.7%
None 6
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 68
20.3%
방 20
 
6.0%
한 20
 
6.0%
학 19
 
5.7%
의 18
 
5.4%
신 13
 
3.9%
정 13
 
3.9%
내 11
 
3.3%
부 10
 
3.0%
인 9
 
2.7%
Other values (45) 134
40.0%
ASCII
ValueCountFrequency (%)
53
50.0%
, 53
50.0%
None
ValueCountFrequency (%)
· 6
100.0%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

구급차특수
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
0
23 

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 23
100.0%

Length

2023-12-11T05:29:22.205881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:29:22.384291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
100.0%

구급차일반
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
0
23 

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 23
100.0%

Length

2023-12-11T05:29:22.529661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:29:22.668716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
100.0%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

허가병상수
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
0
23 

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 23
100.0%

Length

2023-12-11T05:29:22.821579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:29:22.971601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
100.0%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
01부속의료기관01_01_03_P3410000PHMA31990341002304130000119900604<NA>3폐업3폐업20101214<NA><NA><NA><NA><NA>700742대구광역시 중구 덕산동 110번지 삼성생명빌딩대구광역시 중구 달구벌대로 2095 (덕산동,삼성생명빌딩)<NA>삼성생명대구부속의원20101214104749I2018-08-31 23:59:59.0<NA>343787.134091264065.576741부속의원100482.0101 104내과, 외과<NA><NA><NA>00<NA><NA>0<NA>
12부속의료기관01_01_03_P3410000PHMA32005341002304130000120050701<NA>3폐업3폐업20110805<NA><NA><NA><NA><NA>700731대구광역시 중구 동성로2가 88번지 25호 교보생명대구광역시 중구 국채보상로 586 (동성로2가,교보생명)<NA>교보생명(주)부속의원20110805160635I2018-08-31 23:59:59.0<NA>343959.823762264529.39356부속의원100444.0122 116 119영상의학과, 진단검사의학과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
23부속의료기관01_01_03_P3410000PHMA31995341002304130000119950330<NA>1영업/정상13영업중<NA><NA><NA><NA>053-429-8686<NA>700744대구광역시 중구 동인동2가 25번지 4호 대한생명빌딩대구광역시 중구 공평로 60 (동인동2가)41939한화생명(주)대구부속의원20200106093858U2020-01-08 02:40:00.0<NA>344479.743965264425.992758부속의원300515.0101내과<NA><NA><NA>00<NA><NA>0<NA>
34부속의료기관01_01_03_P3420000PHMA32013342002302130000120131220<NA>1영업/정상13영업중<NA><NA><NA><NA>053-607-6382<NA><NA><NA>대구광역시 동구 동내로 63 (동내동)701310대구경북지방병무청20160519165707I2018-08-31 23:59:59.0<NA>356646.809082265795.089351병무청1000.0604병무청<NA><NA><NA>00<NA><NA>0<NA>
45부속의료기관01_01_03_P3420000PHMA32015342002304130000120150413<NA>1영업/정상13영업중<NA><NA><NA><NA>053-670-6745<NA><NA><NA>대구광역시 동구 첨단로 120 (신서동)41062한국가스공사 부속한의원20190924170524U2019-09-26 02:40:00.0<NA>356126.992895266590.540109부속의원100105.6301 302 303 304 305 306 307 308 309한방응급과, 침구과, 사상체질과, 한방재활의학과, 한방신경정신과, 한방안·이비인후·피부과, 한방소아과, 한방부인과, 한방내과<NA><NA><NA>00<NA><NA>0<NA>
56부속의료기관01_01_03_P3420000PHMA32013342002302130000220130103<NA>1영업/정상13영업중<NA><NA><NA><NA>053-607-0283<NA><NA>대구광역시 동구 신서동 1168번지 중앙신체검사소대구광역시 동구 첨복로 10, 중앙신체검사소 (신서동)41069중앙신체검사소20181218142515I2018-12-20 02:20:22.0<NA>356480.098926265515.821289병무청1000.0604병무청<NA><NA><NA>00<NA><NA>0<NA>
67부속의료기관01_01_03_P3440000PHMA32011344002404130000120110125<NA>3폐업3폐업201504202015021020150610<NA>053-655-8050<NA>705809대구광역시 남구 대명1동 1652번지 21호대구광역시 남구 두류공원로 26 (대명동)<NA>동대구의료소비자생활협동조합 부속 삼국한의원20150420165125I2018-08-31 23:59:59.0<NA>342189.922983261238.36273부속의원100163.8301 302 303 306 305 304 307 308침구과, 사상체질과, 한방안·이비인후·피부과, 한방신경정신과, 한방재활의학과, 한방소아과, 한방부인과, 한방내과<NA><NA><NA>00<NA><NA>0<NA>
78부속의료기관01_01_03_P3450000PHMA32007345002204130000120070309<NA>3폐업3폐업20160212<NA><NA><NA>053-950-2235<NA>702702대구광역시 북구 산격4동 1445번지 3호 경상북도청대구광역시 북구 연암로 40 (산격동)41542경상북도청부속의원20180226171336I2018-08-31 23:59:59.0<NA>344458.93985267007.8061부속의원20042.66101 104 122가정의학과, 외과, 내과<NA><NA><NA>00<NA><NA>0<NA>
89부속의료기관01_01_03_P3450000PHMA31982345002202130000119820103<NA>3폐업3폐업20170320<NA><NA><NA>950-8197<NA><NA>대구광역시 북구 산격동 1370번지 1호대구광역시 북구 대학로 80 (산격동, 경북대학교)41566경북대학교 보건진료소20170320173908I2018-08-31 23:59:59.0<NA>345299.742438266806.443246학교시설111622.08606학교시설<NA><NA><NA>00<NA><NA>0<NA>
910부속의료기관01_01_03_P3450000PHMA32014345002204130000120140328<NA>3폐업3폐업20181005<NA><NA><NA><NA><NA>702701대구광역시 북구 산격동 1370번지 1호대구광역시 북구 대학로 80 (산격동, 복지관 3층)41566경북대학교부속치과의원20181005174226U2018-11-03 04:00:00.0<NA>345299.742438266806.443246부속의원00058.8401치과<NA><NA><NA>00<NA><NA>0<NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
1314부속의료기관01_01_03_P3460000PHMA32020346002302130000120200319<NA>3폐업3폐업20200511<NA><NA><NA>053-790-6880<NA><NA>대구광역시 수성구 가천동 산 45번지대구광역시 수성구 달구벌대로 2903, 사서함 96-10호 (가천동)42260육군 제5군수지원사령부20200511171741U2020-05-13 02:40:00.0<NA>351717.924964261913.320979군부대시설100165.0119진단검사의학과<NA><NA><NA>00<NA><NA>0<NA>
1415부속의료기관01_01_03_P3460000PHMA32005346002304130000120050929<NA>1영업/정상13영업중<NA><NA><NA><NA>053-740-5272<NA>706021대구광역시 수성구 만촌1동 768번지 1호대구광역시 수성구 달구벌대로541길 36 (만촌동)<NA>대구구치소부속의원20160204151528I2018-08-31 23:59:59.0<NA>349772.49497263039.872216부속의원100771.1101내과<NA><NA><NA>00<NA><NA>0<NA>
1516부속의료기관01_01_03_P3460000PHMA32012346002302130000120121116<NA>1영업/정상13영업중<NA><NA><NA><NA>053-750-1713<NA>706021대구광역시 수성구 만촌1동 사서함 503-17호<NA><NA>제2작전사령부근무지원단의무실20130117171613I2018-08-31 23:59:59.0<NA><NA><NA>군부대시설1001.0607기타<NA><NA><NA>00<NA><NA>0<NA>
1617부속의료기관01_01_03_P3460000PHMA32016346002304130000120160105<NA>1영업/정상13영업중<NA><NA><NA><NA>0537576295<NA><NA>대구광역시 수성구 범어동대구광역시 수성구 동대구로 364 (범어동, 대구고등법원)42027대구법원종합청사 부속의원20170905183836I2018-08-31 23:59:59.0<NA>347069.235422263772.118369부속의원20069.8122가정의학과<NA><NA><NA>00<NA><NA>0<NA>
1718부속의료기관01_01_03_P3470000PHMA31995347002202130000119950215<NA>1영업/정상1신규<NA><NA><NA><NA><NA><NA>704931대구광역시 달서구 죽전동 95번지 11호 징병검사장대구광역시 달서구 와룡로49길 30 (죽전동,징병검사장)<NA>대구.경북 지방병무청(징병검사장)20081222151134I2018-08-31 23:59:59.0<NA>338628.073956262706.292593병무청1000.0604병무청<NA><NA><NA>00<NA><NA>0<NA>
1819부속의료기관01_01_03_P3470000PHMA32010347002204130000120100811<NA>3폐업3폐업20110616<NA><NA><NA><NA><NA>704826대구광역시 달서구 송현2동 1914번지 2호 화림빌딩 6층대구광역시 달서구 월배로 327 (송현동,화림빌딩 6층)<NA>대경의료소비자생활협동조합 부속 행복한우리한의원20110616151538I2018-08-31 23:59:59.0<NA>339645.577432259411.291951부속의원100269.0301 304 302 305 309 306 303 307 308침구과, 사상체질과, 한방소아과, 한방재활의학과, 한방응급과, 한방신경정신과, 한방부인과, 한방안·이비인후·피부과, 한방내과<NA><NA><NA>00<NA><NA>0<NA>
1920부속의료기관01_01_03_P3470000PHMA32002347002202130000120020515<NA>1영업/정상13영업중<NA><NA><NA><NA>----<NA><NA>대구광역시 달서구 신당동 1000번지 계명대학교성서캠퍼스대구광역시 달서구 달구벌대로 1095 (신당동, 계명대학교)42601계명대학교보건진료센터20170626102743I2018-08-31 23:59:59.0<NA>334461.497981263382.292266학교시설100181.0606학교시설<NA><NA><NA>00<NA><NA>0<NA>
2021부속의료기관01_01_03_P3480000PHMA32009348001204130000120090911<NA>3폐업3폐업20111118<NA><NA><NA><NA><NA>711874대구광역시 달성군 현풍면 하리 144번지 1호대구광역시 달성군 현풍면 현풍중앙로 64<NA>대구의료소비자생활협동조합약손부속한의원20111118140116I2018-08-31 23:59:59.0<NA>330618.588632244872.476579부속의원200161.0607기타<NA><NA><NA>00<NA><NA>0<NA>
2122부속의료기관01_01_03_P3480000PHMA32005348001204130000120050927<NA>1영업/정상13영업중<NA><NA><NA><NA>053-632-4501<NA>711830대구광역시 달성군 화원읍 천내리 472대구광역시 달성군 화원읍 비슬로 262442963대구교도소 부속의원20201015234320U2020-10-17 02:40:00.0<NA><NA><NA>부속의원4000.0101 104 110 105 102내과, 신경과, 외과, 정형외과, 산부인과<NA><NA><NA>00<NA><NA>0<NA>
2223부속의료기관01_01_03_P3480000PHMA32005348001204130000220051014<NA>1영업/정상13영업중<NA><NA><NA><NA>053-641-2454<NA>711830대구광역시 달성군 화원읍 본리리 85대구광역시 달성군 화원읍 명천로 5842964(재)대구광역시사회서비스원 희망마을 부속의원20210216092051U2021-02-18 02:40:00.0<NA>336403.914141257154.473733부속의원1001302334.0101 102 103내과, 신경과, 정신건강의학과<NA><NA><NA>00<NA><NA>0<NA>