Overview

Dataset statistics

Number of variables44
Number of observations33
Missing cells611
Missing cells (%)42.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.3 KiB
Average record size in memory383.0 B

Variable types

Numeric4
Categorical14
Text8
DateTime3
Unsupported15

Dataset

Description23년11월_6270000_대구광역시_01_01_08_P_의료법인
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000101391&dataSetDetailId=DDI_0000101389&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
영업상태구분코드 has constant value ""Constant
영업상태명 has constant value ""Constant
상세영업상태명 has constant value ""Constant
소재지우편번호 has constant value ""Constant
도로명우편번호 has constant value ""Constant
구급차특수 has constant value ""Constant
구급차일반 has constant value ""Constant
허가병상수 has constant value ""Constant
개방자치단체코드 is highly imbalanced (80.4%)Imbalance
상세영업상태코드 is highly imbalanced (80.4%)Imbalance
데이터갱신구분 is highly imbalanced (80.4%)Imbalance
업태구분명 is highly imbalanced (60.2%)Imbalance
의료인수 is highly imbalanced (80.4%)Imbalance
입원실수 is highly imbalanced (80.4%)Imbalance
총면적 is highly imbalanced (80.4%)Imbalance
인허가취소일자 has 33 (100.0%) missing valuesMissing
상세영업상태명 has 32 (97.0%) missing valuesMissing
폐업일자 has 33 (100.0%) missing valuesMissing
휴업시작일자 has 33 (100.0%) missing valuesMissing
휴업종료일자 has 33 (100.0%) missing valuesMissing
재개업일자 has 33 (100.0%) missing valuesMissing
소재지전화 has 7 (21.2%) missing valuesMissing
소재지면적 has 33 (100.0%) missing valuesMissing
소재지우편번호 has 32 (97.0%) missing valuesMissing
도로명전체주소 has 2 (6.1%) missing valuesMissing
도로명우편번호 has 32 (97.0%) missing valuesMissing
좌표정보(X) has 5 (15.2%) missing valuesMissing
좌표정보(Y) has 5 (15.2%) missing valuesMissing
의료기관종별명 has 33 (100.0%) missing valuesMissing
병상수 has 1 (3.0%) missing valuesMissing
진료과목내용 has 33 (100.0%) missing valuesMissing
진료과목내용명 has 33 (100.0%) missing valuesMissing
지정취소일자 has 33 (100.0%) missing valuesMissing
완화의료지정형태 has 33 (100.0%) missing valuesMissing
완화의료담당부서명 has 33 (100.0%) missing valuesMissing
총인원 has 33 (100.0%) missing valuesMissing
구조사수 has 33 (100.0%) missing valuesMissing
최초지정일자 has 33 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
소재지전체주소 has unique valuesUnique
사업장명 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 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
의료기관종별명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
진료과목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
진료과목내용명 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
병상수 has 11 (33.3%) zerosZeros

Reproduction

Analysis started2023-12-16 05:06:26.861902
Analysis finished2023-12-16 05:06:29.314697
Duration2.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-16T05:06:29.793639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.6
Q19
median17
Q325
95-th percentile31.4
Maximum33
Range32
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.6695398
Coefficient of variation (CV)0.56879646
Kurtosis-1.2
Mean17
Median Absolute Deviation (MAD)8
Skewness0
Sum561
Variance93.5
MonotonicityStrictly increasing
2023-12-16T05:06:30.628411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1 1
 
3.0%
26 1
 
3.0%
20 1
 
3.0%
21 1
 
3.0%
22 1
 
3.0%
23 1
 
3.0%
24 1
 
3.0%
25 1
 
3.0%
27 1
 
3.0%
2 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
1 1
3.0%
2 1
3.0%
3 1
3.0%
4 1
3.0%
5 1
3.0%
6 1
3.0%
7 1
3.0%
8 1
3.0%
9 1
3.0%
10 1
3.0%
ValueCountFrequency (%)
33 1
3.0%
32 1
3.0%
31 1
3.0%
30 1
3.0%
29 1
3.0%
28 1
3.0%
27 1
3.0%
26 1
3.0%
25 1
3.0%
24 1
3.0%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
의료법인
33 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의료법인 33
100.0%

Length

2023-12-16T05:06:31.458032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:06:32.122413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의료법인 33
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
01_01_08_P
33 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01_01_08_P
2nd row01_01_08_P
3rd row01_01_08_P
4th row01_01_08_P
5th row01_01_08_P

Common Values

ValueCountFrequency (%)
01_01_08_P 33
100.0%

Length

2023-12-16T05:06:32.662230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:06:33.171741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_01_08_p 33
100.0%

개방자치단체코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
6270000
32 
3450000
 
1

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique1 ?
Unique (%)3.0%

Sample

1st row3450000
2nd row6270000
3rd row6270000
4th row6270000
5th row6270000

Common Values

ValueCountFrequency (%)
6270000 32
97.0%
3450000 1
 
3.0%

Length

2023-12-16T05:06:33.805893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:06:34.237232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 32
97.0%
3450000 1
 
3.0%

관리번호
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-16T05:06:35.368367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length18.212121
Min length18

Characters and Unicode

Total characters601
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

Unique33 ?
Unique (%)100.0%

Sample

1st rowPHMA420023450022021400001
2nd row200462700001000001
3rd row200462700001000002
4th row200362700001000001
5th row200262700001000001
ValueCountFrequency (%)
phma420023450022021400001 1
 
3.0%
201062700001000001 1
 
3.0%
200662700001000002 1
 
3.0%
200462700001000003 1
 
3.0%
201762700001000001 1
 
3.0%
201562700001000001 1
 
3.0%
201262700001000001 1
 
3.0%
200062700001000002 1
 
3.0%
201362700001000001 1
 
3.0%
199762700001000001 1
 
3.0%
Other values (23) 23
69.7%
2023-12-16T05:06:37.240265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 343
57.1%
1 73
 
12.1%
2 70
 
11.6%
7 37
 
6.2%
6 35
 
5.8%
9 16
 
2.7%
3 10
 
1.7%
4 6
 
1.0%
5 4
 
0.7%
8 3
 
0.5%
Other values (4) 4
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 597
99.3%
Uppercase Letter 4
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 343
57.5%
1 73
 
12.2%
2 70
 
11.7%
7 37
 
6.2%
6 35
 
5.9%
9 16
 
2.7%
3 10
 
1.7%
4 6
 
1.0%
5 4
 
0.7%
8 3
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
P 1
25.0%
H 1
25.0%
M 1
25.0%
A 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 597
99.3%
Latin 4
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 343
57.5%
1 73
 
12.2%
2 70
 
11.7%
7 37
 
6.2%
6 35
 
5.9%
9 16
 
2.7%
3 10
 
1.7%
4 6
 
1.0%
5 4
 
0.7%
8 3
 
0.5%
Latin
ValueCountFrequency (%)
P 1
25.0%
H 1
25.0%
M 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 601
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 343
57.1%
1 73
 
12.1%
2 70
 
11.6%
7 37
 
6.2%
6 35
 
5.8%
9 16
 
2.7%
3 10
 
1.7%
4 6
 
1.0%
5 4
 
0.7%
8 3
 
0.5%
Other values (4) 4
 
0.7%

인허가일자
Date

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum1963-06-05 00:00:00
Maximum2017-01-04 00:00:00
2023-12-16T05:06:37.948432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T05:06:38.500446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

영업상태구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
1
33 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 33
100.0%

Length

2023-12-16T05:06:39.720615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:06:40.460029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 33
100.0%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
영업/정상
33 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 33
100.0%

Length

2023-12-16T05:06:41.211706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:06:41.882880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 33
100.0%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
BBBB
32 
01
 
1

Length

Max length4
Median length4
Mean length3.9393939
Min length2

Unique

Unique1 ?
Unique (%)3.0%

Sample

1st row01
2nd rowBBBB
3rd rowBBBB
4th rowBBBB
5th rowBBBB

Common Values

ValueCountFrequency (%)
BBBB 32
97.0%
01 1
 
3.0%

Length

2023-12-16T05:06:42.529082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:06:43.317057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bbbb 32
97.0%
01 1
 
3.0%

상세영업상태명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing32
Missing (%)97.0%
Memory size396.0 B
2023-12-16T05:06:43.748132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row신규
ValueCountFrequency (%)
신규 1
100.0%
2023-12-16T05:06:45.509580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
신 1
50.0%
규 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
신 1
50.0%
규 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
신 1
50.0%
규 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
신 1
50.0%
규 1
50.0%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

소재지전화
Text

MISSING 

Distinct26
Distinct (%)100.0%
Missing7
Missing (%)21.2%
Memory size396.0 B
2023-12-16T05:06:46.338361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9230769
Min length8

Characters and Unicode

Total characters258
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

Unique26 ?
Unique (%)100.0%

Sample

1st row320-2500
2nd row0532522401
3rd row0537652626
4th row0534240055
5th row0537451005
ValueCountFrequency (%)
0536217313 1
 
3.8%
0537652626 1
 
3.8%
0533410119 1
 
3.8%
0539407057 1
 
3.8%
0537437777 1
 
3.8%
0532156200 1
 
3.8%
0533246200 1
 
3.8%
0535602238 1
 
3.8%
0536419200 1
 
3.8%
0533505000 1
 
3.8%
Other values (16) 16
61.5%
2023-12-16T05:06:48.330565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 68
26.4%
5 46
17.8%
3 40
15.5%
2 26
 
10.1%
7 18
 
7.0%
6 17
 
6.6%
1 14
 
5.4%
4 14
 
5.4%
9 9
 
3.5%
8 5
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 257
99.6%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 68
26.5%
5 46
17.9%
3 40
15.6%
2 26
 
10.1%
7 18
 
7.0%
6 17
 
6.6%
1 14
 
5.4%
4 14
 
5.4%
9 9
 
3.5%
8 5
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 258
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 68
26.4%
5 46
17.8%
3 40
15.5%
2 26
 
10.1%
7 18
 
7.0%
6 17
 
6.6%
1 14
 
5.4%
4 14
 
5.4%
9 9
 
3.5%
8 5
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 258
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 68
26.4%
5 46
17.8%
3 40
15.5%
2 26
 
10.1%
7 18
 
7.0%
6 17
 
6.6%
1 14
 
5.4%
4 14
 
5.4%
9 9
 
3.5%
8 5
 
1.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

소재지우편번호
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing32
Missing (%)97.0%
Memory size396.0 B
2023-12-16T05:06:48.867747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters7
Distinct characters7
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

Unique1 ?
Unique (%)100.0%

Sample

1st row702-849
ValueCountFrequency (%)
702-849 1
100.0%
2023-12-16T05:06:50.206223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 1
14.3%
0 1
14.3%
2 1
14.3%
- 1
14.3%
8 1
14.3%
4 1
14.3%
9 1
14.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6
85.7%
Dash Punctuation 1
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 1
16.7%
0 1
16.7%
2 1
16.7%
8 1
16.7%
4 1
16.7%
9 1
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 1
14.3%
0 1
14.3%
2 1
14.3%
- 1
14.3%
8 1
14.3%
4 1
14.3%
9 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 1
14.3%
0 1
14.3%
2 1
14.3%
- 1
14.3%
8 1
14.3%
4 1
14.3%
9 1
14.3%

소재지전체주소
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-16T05:06:51.712361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length22.939394
Min length1

Characters and Unicode

Total characters757
Distinct characters75
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

Unique33 ?
Unique (%)100.0%

Sample

1st row대구광역시 북구 읍내동 1341번지 5호
2nd row대구광역시 중구 수동 18번지
3rd row대구광역시 북구 학정동 441번지
4th row대구광역시 중구 봉산동 195번지 2호
5th row대구광역시 수성구 수성동3가 327번지
ValueCountFrequency (%)
대구광역시 32
20.8%
북구 9
 
5.8%
달서구 7
 
4.5%
2호 7
 
4.5%
수성구 5
 
3.2%
5호 4
 
2.6%
중구 3
 
1.9%
1호 3
 
1.9%
서구 3
 
1.9%
동구 2
 
1.3%
Other values (75) 79
51.3%
2023-12-16T05:06:55.491599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
183
24.2%
구 62
 
8.2%
대 35
 
4.6%
동 34
 
4.5%
1 34
 
4.5%
광 32
 
4.2%
역 32
 
4.2%
시 32
 
4.2%
지 32
 
4.2%
번 31
 
4.1%
Other values (65) 250
33.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 436
57.6%
Space Separator 183
24.2%
Decimal Number 137
 
18.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 62
14.2%
대 35
 
8.0%
동 34
 
7.8%
광 32
 
7.3%
역 32
 
7.3%
시 32
 
7.3%
지 32
 
7.3%
번 31
 
7.1%
호 23
 
5.3%
서 10
 
2.3%
Other values (53) 113
25.9%
Decimal Number
ValueCountFrequency (%)
1 34
24.8%
4 17
12.4%
5 14
10.2%
0 13
 
9.5%
3 13
 
9.5%
2 12
 
8.8%
7 12
 
8.8%
9 9
 
6.6%
6 8
 
5.8%
8 5
 
3.6%
Space Separator
ValueCountFrequency (%)
183
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 436
57.6%
Common 321
42.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 62
14.2%
대 35
 
8.0%
동 34
 
7.8%
광 32
 
7.3%
역 32
 
7.3%
시 32
 
7.3%
지 32
 
7.3%
번 31
 
7.1%
호 23
 
5.3%
서 10
 
2.3%
Other values (53) 113
25.9%
Common
ValueCountFrequency (%)
183
57.0%
1 34
 
10.6%
4 17
 
5.3%
5 14
 
4.4%
0 13
 
4.0%
3 13
 
4.0%
2 12
 
3.7%
7 12
 
3.7%
9 9
 
2.8%
6 8
 
2.5%
Other values (2) 6
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 436
57.6%
ASCII 321
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
183
57.0%
1 34
 
10.6%
4 17
 
5.3%
5 14
 
4.4%
0 13
 
4.0%
3 13
 
4.0%
2 12
 
3.7%
7 12
 
3.7%
9 9
 
2.8%
6 8
 
2.5%
Other values (2) 6
 
1.9%
Hangul
ValueCountFrequency (%)
구 62
14.2%
대 35
 
8.0%
동 34
 
7.8%
광 32
 
7.3%
역 32
 
7.3%
시 32
 
7.3%
지 32
 
7.3%
번 31
 
7.1%
호 23
 
5.3%
서 10
 
2.3%
Other values (53) 113
25.9%

도로명전체주소
Text

MISSING 

Distinct31
Distinct (%)100.0%
Missing2
Missing (%)6.1%
Memory size396.0 B
2023-12-16T05:06:57.018205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length23.322581
Min length21

Characters and Unicode

Total characters723
Distinct characters91
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

Unique31 ?
Unique (%)100.0%

Sample

1st row대구광역시 북구 칠곡중앙대로 440 (읍내동)
2nd row대구광역시 중구 국채보상로 531 (수동)
3rd row대구광역시 북구 노본길 15-3 (학정동)
4th row대구광역시 중구 이천로 236 (봉산동)
5th row대구광역시 수성구 명덕로 443 (수성동3가)
ValueCountFrequency (%)
대구광역시 31
 
20.0%
북구 8
 
5.2%
달서구 7
 
4.5%
수성구 5
 
3.2%
국채보상로 4
 
2.6%
동구 3
 
1.9%
서구 3
 
1.9%
신암동 2
 
1.3%
평리동 2
 
1.3%
달구벌대로 2
 
1.3%
Other values (83) 88
56.8%
2023-12-16T05:07:00.108353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
124
17.2%
구 65
 
9.0%
대 42
 
5.8%
동 35
 
4.8%
광 31
 
4.3%
역 31
 
4.3%
시 31
 
4.3%
로 29
 
4.0%
( 29
 
4.0%
) 29
 
4.0%
Other values (81) 277
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 448
62.0%
Space Separator 124
 
17.2%
Decimal Number 91
 
12.6%
Open Punctuation 29
 
4.0%
Close Punctuation 29
 
4.0%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 65
14.5%
대 42
 
9.4%
동 35
 
7.8%
광 31
 
6.9%
역 31
 
6.9%
시 31
 
6.9%
로 29
 
6.5%
달 14
 
3.1%
서 11
 
2.5%
성 11
 
2.5%
Other values (67) 148
33.0%
Decimal Number
ValueCountFrequency (%)
1 16
17.6%
2 13
14.3%
0 11
12.1%
3 10
11.0%
4 9
9.9%
5 9
9.9%
9 8
8.8%
7 7
7.7%
6 6
 
6.6%
8 2
 
2.2%
Space Separator
ValueCountFrequency (%)
124
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 448
62.0%
Common 275
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 65
14.5%
대 42
 
9.4%
동 35
 
7.8%
광 31
 
6.9%
역 31
 
6.9%
시 31
 
6.9%
로 29
 
6.5%
달 14
 
3.1%
서 11
 
2.5%
성 11
 
2.5%
Other values (67) 148
33.0%
Common
ValueCountFrequency (%)
124
45.1%
( 29
 
10.5%
) 29
 
10.5%
1 16
 
5.8%
2 13
 
4.7%
0 11
 
4.0%
3 10
 
3.6%
4 9
 
3.3%
5 9
 
3.3%
9 8
 
2.9%
Other values (4) 17
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 448
62.0%
ASCII 275
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
124
45.1%
( 29
 
10.5%
) 29
 
10.5%
1 16
 
5.8%
2 13
 
4.7%
0 11
 
4.0%
3 10
 
3.6%
4 9
 
3.3%
5 9
 
3.3%
9 8
 
2.9%
Other values (4) 17
 
6.2%
Hangul
ValueCountFrequency (%)
구 65
14.5%
대 42
 
9.4%
동 35
 
7.8%
광 31
 
6.9%
역 31
 
6.9%
시 31
 
6.9%
로 29
 
6.5%
달 14
 
3.1%
서 11
 
2.5%
성 11
 
2.5%
Other values (67) 148
33.0%

도로명우편번호
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing32
Missing (%)97.0%
Memory size396.0 B
2023-12-16T05:07:00.832879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters7
Distinct characters7
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

Unique1 ?
Unique (%)100.0%

Sample

1st row702-849
ValueCountFrequency (%)
702-849 1
100.0%
2023-12-16T05:07:01.760975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 1
14.3%
0 1
14.3%
2 1
14.3%
- 1
14.3%
8 1
14.3%
4 1
14.3%
9 1
14.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6
85.7%
Dash Punctuation 1
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 1
16.7%
0 1
16.7%
2 1
16.7%
8 1
16.7%
4 1
16.7%
9 1
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 1
14.3%
0 1
14.3%
2 1
14.3%
- 1
14.3%
8 1
14.3%
4 1
14.3%
9 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 1
14.3%
0 1
14.3%
2 1
14.3%
- 1
14.3%
8 1
14.3%
4 1
14.3%
9 1
14.3%

사업장명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-16T05:07:02.403091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length11.363636
Min length9

Characters and Unicode

Total characters375
Distinct characters71
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row대구가톨릭대학교칠곡가톨릭병원
2nd row의료법인 운경의료재단
3rd row의료법인 두리의료재단
4th row의료법인 하나시아 의료재단
5th row의료법인 해정의료재단
ValueCountFrequency (%)
의료법인 29
42.6%
사단법인 3
 
4.4%
효민의료재단 1
 
1.5%
경동의료재단 1
 
1.5%
용각의료재단 1
 
1.5%
가창삼성의료재단 1
 
1.5%
강의료재단 1
 
1.5%
명문의료재단 1
 
1.5%
송효의료재단 1
 
1.5%
구의료재단 1
 
1.5%
Other values (28) 28
41.2%
2023-12-16T05:07:04.015699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
료 57
15.2%
의 57
15.2%
35
9.3%
단 32
 
8.5%
인 32
 
8.5%
법 32
 
8.5%
재 29
 
7.7%
성 6
 
1.6%
대 6
 
1.6%
동 3
 
0.8%
Other values (61) 86
22.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 340
90.7%
Space Separator 35
 
9.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
료 57
16.8%
의 57
16.8%
단 32
 
9.4%
인 32
 
9.4%
법 32
 
9.4%
재 29
 
8.5%
성 6
 
1.8%
대 6
 
1.8%
동 3
 
0.9%
구 3
 
0.9%
Other values (60) 83
24.4%
Space Separator
ValueCountFrequency (%)
35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 340
90.7%
Common 35
 
9.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
료 57
16.8%
의 57
16.8%
단 32
 
9.4%
인 32
 
9.4%
법 32
 
9.4%
재 29
 
8.5%
성 6
 
1.8%
대 6
 
1.8%
동 3
 
0.9%
구 3
 
0.9%
Other values (60) 83
24.4%
Common
ValueCountFrequency (%)
35
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 340
90.7%
ASCII 35
 
9.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
료 57
16.8%
의 57
16.8%
단 32
 
9.4%
인 32
 
9.4%
법 32
 
9.4%
재 29
 
8.5%
성 6
 
1.8%
대 6
 
1.8%
동 3
 
0.9%
구 3
 
0.9%
Other values (60) 83
24.4%
ASCII
ValueCountFrequency (%)
35
100.0%

최종수정시점
Date

Distinct26
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2011-11-25 15:53:40
Maximum2023-11-09 00:00:00
2023-12-16T05:07:04.881726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T05:07:06.067938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
U
32 
I
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 32
97.0%
I 1
 
3.0%

Length

2023-12-16T05:07:06.844120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:07:07.394629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 32
97.0%
i 1
 
3.0%

데이터갱신일자
Date

Distinct23
Distinct (%)69.7%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2018-08-31 23:59:59
Maximum2023-11-11 02:40:00
2023-12-16T05:07:08.130087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T05:07:09.103122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

업태구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
의료법인
29 
사단법인
3 
<NA>
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
의료법인 29
87.9%
사단법인 3
 
9.1%
<NA> 1
 
3.0%

Length

2023-12-16T05:07:09.854391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:07:10.402758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의료법인 29
87.9%
사단법인 3
 
9.1%
na 1
 
3.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing5
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean342547.24
Minimum335681.89
Maximum349966.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-16T05:07:11.346117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum335681.89
5-th percentile338216.97
Q1340031.78
median341736.83
Q3345890.04
95-th percentile347916.6
Maximum349966.96
Range14285.069
Interquartile range (IQR)5858.258

Descriptive statistics

Standard deviation3515.8099
Coefficient of variation (CV)0.010263723
Kurtosis-0.61307375
Mean342547.24
Median Absolute Deviation (MAD)2383.9987
Skewness0.32546233
Sum9591322.8
Variance12360919
MonotonicityNot monotonic
2023-12-16T05:07:12.053645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
341181.499679747 1
 
3.0%
345807.437021462 1
 
3.0%
346578.288464123 1
 
3.0%
348572.87940003 1
 
3.0%
340129.677952406 1
 
3.0%
339527.443255698 1
 
3.0%
340185.124027593 1
 
3.0%
337781.564690105 1
 
3.0%
339178.216887631 1
 
3.0%
346697.808168679 1
 
3.0%
Other values (18) 18
54.5%
(Missing) 5
 
15.2%
ValueCountFrequency (%)
335681.886405936 1
3.0%
337781.564690105 1
3.0%
339025.574074558 1
3.0%
339178.216887631 1
3.0%
339527.443255698 1
3.0%
339576.42967163 1
3.0%
339738.074906347 1
3.0%
340129.677952406 1
3.0%
340185.124027593 1
3.0%
340552.4555647 1
3.0%
ValueCountFrequency (%)
349966.9554619 1
3.0%
348572.87940003 1
3.0%
346697.808168679 1
3.0%
346682.865386337 1
3.0%
346578.288464123 1
3.0%
346402.496697187 1
3.0%
346137.829613153 1
3.0%
345807.437021462 1
3.0%
344843.464427522 1
3.0%
344398.835576655 1
3.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing5
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean264285.18
Minimum249749.15
Maximum274315.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-16T05:07:12.940061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum249749.15
5-th percentile258860.37
Q1262491.08
median263782.39
Q3266188.6
95-th percentile272039.59
Maximum274315.5
Range24566.35
Interquartile range (IQR)3697.5225

Descriptive statistics

Standard deviation4770.053
Coefficient of variation (CV)0.018048886
Kurtosis2.5527533
Mean264285.18
Median Absolute Deviation (MAD)2003.7373
Skewness-0.43829331
Sum7399985
Variance22753406
MonotonicityNot monotonic
2023-12-16T05:07:13.718132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
264628.663965989 1
 
3.0%
264337.234405612 1
 
3.0%
266105.360280442 1
 
3.0%
263431.992376409 1
 
3.0%
260737.576800723 1
 
3.0%
270821.944410036 1
 
3.0%
264390.7891165 1
 
3.0%
258112.669075299 1
 
3.0%
262256.555710566 1
 
3.0%
262569.255777259 1
 
3.0%
Other values (18) 18
54.5%
(Missing) 5
 
15.2%
ValueCountFrequency (%)
249749.147591039 1
3.0%
258112.669075299 1
3.0%
260248.958087944 1
3.0%
260351.592293211 1
3.0%
260737.576800723 1
3.0%
262097.880177324 1
3.0%
262256.555710566 1
3.0%
262569.255777259 1
3.0%
262679.912743511 1
3.0%
262802.873969375 1
3.0%
ValueCountFrequency (%)
274315.497141221 1
3.0%
272264.382195089 1
3.0%
271622.109418164 1
3.0%
270821.944410036 1
3.0%
268721.082049582 1
3.0%
267028.335958837 1
3.0%
266438.332252582 1
3.0%
266105.360280442 1
3.0%
266105.354859842 1
3.0%
264628.663965989 1
3.0%

의료기관종별명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

의료인수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
0
32 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0909091
Min length1

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 32
97.0%
<NA> 1
 
3.0%

Length

2023-12-16T05:07:14.706986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:07:15.920777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
97.0%
na 1
 
3.0%

입원실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
0
32 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0909091
Min length1

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 32
97.0%
<NA> 1
 
3.0%

Length

2023-12-16T05:07:17.098748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:07:17.988184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
97.0%
na 1
 
3.0%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)62.5%
Missing1
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean121.71875
Minimum0
Maximum383
Zeros11
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-16T05:07:18.854832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median107.5
Q3188.75
95-th percentile324.8
Maximum383
Range383
Interquartile range (IQR)188.75

Descriptive statistics

Standard deviation114.42119
Coefficient of variation (CV)0.94004572
Kurtosis-0.45125978
Mean121.71875
Median Absolute Deviation (MAD)100
Skewness0.60110323
Sum3895
Variance13092.209
MonotonicityNot monotonic
2023-12-16T05:07:19.726311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 11
33.3%
200 3
 
9.1%
65 1
 
3.0%
296 1
 
3.0%
172 1
 
3.0%
111 1
 
3.0%
185 1
 
3.0%
85 1
 
3.0%
99 1
 
3.0%
283 1
 
3.0%
Other values (10) 10
30.3%
ValueCountFrequency (%)
0 11
33.3%
65 1
 
3.0%
85 1
 
3.0%
93 1
 
3.0%
99 1
 
3.0%
104 1
 
3.0%
111 1
 
3.0%
128 1
 
3.0%
148 1
 
3.0%
152 1
 
3.0%
ValueCountFrequency (%)
383 1
 
3.0%
360 1
 
3.0%
296 1
 
3.0%
283 1
 
3.0%
268 1
 
3.0%
200 3
9.1%
185 1
 
3.0%
184 1
 
3.0%
179 1
 
3.0%
172 1
 
3.0%

총면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
0
32 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0909091
Min length1

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 32
97.0%
<NA> 1
 
3.0%

Length

2023-12-16T05:07:20.706837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:07:21.297438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
97.0%
na 1
 
3.0%

진료과목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

진료과목내용명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

구급차특수
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
0
33 

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 33
100.0%

Length

2023-12-16T05:07:22.229396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:07:22.747825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 33
100.0%

구급차일반
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
0
33 

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 33
100.0%

Length

2023-12-16T05:07:23.390576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:07:23.985416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 33
100.0%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

허가병상수
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
0
33 

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 33
100.0%

Length

2023-12-16T05:07:24.605151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:07:25.300570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 33
100.0%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
01의료법인01_01_08_P3450000PHMA4200234500220214000012002-01-21<NA>1영업/정상01신규<NA><NA><NA><NA>320-2500<NA>702-849대구광역시 북구 읍내동 1341번지 5호대구광역시 북구 칠곡중앙대로 440 (읍내동)702-849대구가톨릭대학교칠곡가톨릭병원2011-11-25 15:53:40I2018-08-31 23:59:59<NA>339738.074906271622.109418<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>00<NA><NA>0<NA>
12의료법인01_01_08_P62700002004627000010000012004-05-20<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>0532522401<NA><NA>대구광역시 중구 수동 18번지대구광역시 중구 국채보상로 531 (수동)<NA>의료법인 운경의료재단2016-03-16 00:00:00U2021-07-14 02:40:00의료법인343408.678769264556.652027<NA>0000<NA><NA><NA><NA><NA>00<NA><NA>0<NA>
23의료법인01_01_08_P62700002004627000010000022005-02-05<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>0537652626<NA><NA>대구광역시 북구 학정동 441번지대구광역시 북구 노본길 15-3 (학정동)<NA>의료법인 두리의료재단2023-05-17 00:00:00U2023-05-19 02:40:00의료법인341228.355291274315.497141<NA>00930<NA><NA><NA><NA><NA>00<NA><NA>0<NA>
34의료법인01_01_08_P62700002003627000010000012003-10-23<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>0534240055<NA><NA>대구광역시 중구 봉산동 195번지 2호대구광역시 중구 이천로 236 (봉산동)<NA>의료법인 하나시아 의료재단2022-10-31 00:00:00U2022-11-02 02:40:00의료법인344398.835577263618.399125<NA>001040<NA><NA><NA><NA><NA>00<NA><NA>0<NA>
45의료법인01_01_08_P62700002002627000010000012002-07-23<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>0537451005<NA><NA>대구광역시 수성구 수성동3가 327번지대구광역시 수성구 명덕로 443 (수성동3가)<NA>의료법인 해정의료재단2023-05-16 00:00:00U2023-05-18 02:40:00의료법인346137.829613262802.873969<NA>001280<NA><NA><NA><NA><NA>00<NA><NA>0<NA>
56의료법인01_01_08_P62700002001627000010000012001-03-16<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>0533832700<NA><NA>대구광역시 북구 검단동 986번지 2호대구광역시 북구 검단로 140 (검단동)<NA>의료법인 배성의료재단2023-08-30 00:00:00U2023-09-01 02:40:00의료법인346402.496697268721.08205<NA>002680<NA><NA><NA><NA><NA>00<NA><NA>0<NA>
67의료법인01_01_08_P62700002003627000010000022003-12-24<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>0534246663<NA><NA>대구광역시 북구 태전동 496-15번지<NA><NA>의료법인 효명의료재단2014-05-22 00:00:00U2021-07-14 02:40:00의료법인<NA><NA><NA>0000<NA><NA><NA><NA><NA>00<NA><NA>0<NA>
78의료법인01_01_08_P62700001999627000010000021999-12-31<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 관음동 1404번지 2호대구광역시 북구 칠곡중앙대로99길 21 (관음동)<NA>의료법인 성동재단2022-05-16 00:00:00U2022-05-18 02:40:00의료법인339576.429672272264.382195<NA>0000<NA><NA><NA><NA><NA>00<NA><NA>0<NA>
89의료법인01_01_08_P62700001975627000010000011975-12-22<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>0536597000<NA><NA>대구광역시 남구 대명동 3037번지 36호대구광역시 남구 성당로 168 (대명동)<NA>의료법인 문성의료재단2023-09-22 00:00:00U2023-09-24 02:40:00의료법인341803.863975262097.880177<NA>002000<NA><NA><NA><NA><NA>00<NA><NA>0<NA>
910의료법인01_01_08_P62700001963627000010000011963-06-05<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 서구 내당동 947번지 7호대구광역시 서구 달서로 35 (내당동)<NA>의료법인 대덕의료재단2023-10-12 00:00:00U2023-10-14 02:40:00의료법인341796.818191263946.371062<NA>0000<NA><NA><NA><NA><NA>00<NA><NA>0<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
2324의료법인01_01_08_P62700001995627000010000011995-11-16<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 범어동 774번지 60호대구광역시 수성구 동대구로 245 (범어동)<NA>의료법인 송효의료재단2022-12-15 00:00:00U2022-12-17 02:40:00의료법인346697.808169262569.255777<NA>00850<NA><NA><NA><NA><NA>00<NA><NA>0<NA>
2425의료법인01_01_08_P62700001997627000010000011997-10-31<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 감삼동 139번지 2호대구광역시 달서구 감삼북길 141 (감삼동)<NA>의료법인 구의료재단2022-05-16 00:00:00U2022-05-18 02:40:00의료법인339178.216888262256.555711<NA>001850<NA><NA><NA><NA><NA>00<NA><NA>0<NA>
2526의료법인01_01_08_P62700002013627000010000012013-12-31<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 평화로 39 (신암동)<NA>사단법인 환자 권리 찾기2021-08-05 00:00:00U2021-08-07 02:40:00사단법인<NA><NA><NA>0000<NA><NA><NA><NA><NA>00<NA><NA>0<NA>
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