Overview

Dataset statistics

Number of variables41
Number of observations26
Missing cells374
Missing cells (%)35.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.1 KiB
Average record size in memory357.1 B

Variable types

Categorical14
Text9
DateTime4
Unsupported10
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),의료기관종별명,의료인수,입원실수,병상수,총면적,진료과목내용,진료과목내용명,지정취소일자,완화의료지정형태,완화의료담당부서명,구급차특수,구급차일반,총인원,구조사수,허가병상수,최초지정일자
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-16168/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
의료인수 is highly imbalanced (55.4%)Imbalance
입원실수 is highly imbalanced (53.7%)Imbalance
병상수 is highly imbalanced (55.4%)Imbalance
총면적 is highly imbalanced (55.4%)Imbalance
인허가취소일자 has 26 (100.0%) missing valuesMissing
폐업일자 has 18 (69.2%) missing valuesMissing
휴업시작일자 has 26 (100.0%) missing valuesMissing
휴업종료일자 has 26 (100.0%) missing valuesMissing
재개업일자 has 26 (100.0%) missing valuesMissing
소재지면적 has 10 (38.5%) missing valuesMissing
소재지우편번호 has 17 (65.4%) missing valuesMissing
지번주소 has 2 (7.7%) missing valuesMissing
도로명주소 has 1 (3.8%) missing valuesMissing
도로명우편번호 has 1 (3.8%) missing valuesMissing
좌표정보(X) has 1 (3.8%) missing valuesMissing
좌표정보(Y) has 1 (3.8%) missing valuesMissing
의료기관종별명 has 21 (80.8%) missing valuesMissing
진료과목내용 has 21 (80.8%) missing valuesMissing
진료과목내용명 has 21 (80.8%) missing valuesMissing
지정취소일자 has 26 (100.0%) missing valuesMissing
완화의료지정형태 has 26 (100.0%) missing valuesMissing
완화의료담당부서명 has 26 (100.0%) missing valuesMissing
총인원 has 26 (100.0%) missing valuesMissing
구조사수 has 26 (100.0%) missing valuesMissing
최초지정일자 has 26 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
전화번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 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
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

Reproduction

Analysis started2024-04-18 00:18:33.111665
Analysis finished2024-04-18 00:18:33.562660
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
3090000
26 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3090000
2nd row3090000
3rd row3090000
4th row3090000
5th row3090000

Common Values

ValueCountFrequency (%)
3090000 26
100.0%

Length

2024-04-18T09:18:33.620407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:18:33.707782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3090000 26
100.0%

관리번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-04-18T09:18:33.873423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters650
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

Unique26 ?
Unique (%)100.0%

Sample

1st rowPHMA219743090033021200001
2nd rowPHMA219933090033021200001
3rd rowPHMA220023090033021200001
4th rowPHMA220043090033021200001
5th rowPHMA220053090033021200001
ValueCountFrequency (%)
phma219743090033021200001 1
 
3.8%
phma219933090033021200001 1
 
3.8%
phma220223090033021200002 1
 
3.8%
phma220223090033021200001 1
 
3.8%
phma220163090033021200001 1
 
3.8%
phma220153090033021200001 1
 
3.8%
phma220133090033021200001 1
 
3.8%
phma220123090033021200003 1
 
3.8%
phma220123090033021200002 1
 
3.8%
phma220123090033021200001 1
 
3.8%
Other values (16) 16
61.5%
2024-04-18T09:18:34.178974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 246
37.8%
2 118
18.2%
3 83
 
12.8%
1 54
 
8.3%
9 30
 
4.6%
P 26
 
4.0%
H 26
 
4.0%
M 26
 
4.0%
A 26
 
4.0%
8 4
 
0.6%
Other values (4) 11
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 546
84.0%
Uppercase Letter 104
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 246
45.1%
2 118
21.6%
3 83
 
15.2%
1 54
 
9.9%
9 30
 
5.5%
8 4
 
0.7%
7 3
 
0.5%
4 3
 
0.5%
5 3
 
0.5%
6 2
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
P 26
25.0%
H 26
25.0%
M 26
25.0%
A 26
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 546
84.0%
Latin 104
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 246
45.1%
2 118
21.6%
3 83
 
15.2%
1 54
 
9.9%
9 30
 
5.5%
8 4
 
0.7%
7 3
 
0.5%
4 3
 
0.5%
5 3
 
0.5%
6 2
 
0.4%
Latin
ValueCountFrequency (%)
P 26
25.0%
H 26
25.0%
M 26
25.0%
A 26
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 650
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 246
37.8%
2 118
18.2%
3 83
 
12.8%
1 54
 
8.3%
9 30
 
4.6%
P 26
 
4.0%
H 26
 
4.0%
M 26
 
4.0%
A 26
 
4.0%
8 4
 
0.6%
Other values (4) 11
 
1.7%

인허가일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum1974-03-28 00:00:00
Maximum2022-09-23 00:00:00
2024-04-18T09:18:34.296897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T09:18:34.405334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
1
18 
3
8 

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 18
69.2%
3 8
30.8%

Length

2024-04-18T09:18:34.520347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:18:34.619019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 18
69.2%
3 8
30.8%

영업상태명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
영업/정상
18 
폐업
8 

Length

Max length5
Median length5
Mean length4.0769231
Min length2

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 18
69.2%
폐업 8
30.8%

Length

2024-04-18T09:18:34.715784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:18:34.808691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 18
69.2%
폐업 8
30.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
13
18 
3
8 

Length

Max length2
Median length2
Mean length1.6923077
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 18
69.2%
3 8
30.8%

Length

2024-04-18T09:18:34.924511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:18:35.026297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 18
69.2%
3 8
30.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
영업중
18 
폐업
8 

Length

Max length3
Median length3
Mean length2.6923077
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 18
69.2%
폐업 8
30.8%

Length

2024-04-18T09:18:35.126886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:18:35.220972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 18
69.2%
폐업 8
30.8%

폐업일자
Date

MISSING 

Distinct8
Distinct (%)100.0%
Missing18
Missing (%)69.2%
Memory size340.0 B
Minimum2009-07-01 00:00:00
Maximum2023-05-09 00:00:00
2024-04-18T09:18:35.305637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T09:18:35.420398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

전화번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-04-18T09:18:35.594086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.115385
Min length9

Characters and Unicode

Total characters289
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 row02-901-3114
2nd row02-3492-3251
3rd row02-955-1772
4th row02-903-9920
5th row02-999-9100
ValueCountFrequency (%)
02-901-3114 1
 
3.8%
02-3492-3251 1
 
3.8%
02-3491-7775 1
 
3.8%
02-3492-0888 1
 
3.8%
02-2039-5099 1
 
3.8%
02-990-2999 1
 
3.8%
02-900-5513 1
 
3.8%
02-986-9977 1
 
3.8%
02-955-5545 1
 
3.8%
02-951-0552 1
 
3.8%
Other values (16) 16
61.5%
2024-04-18T09:18:35.899950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 57
19.7%
- 49
17.0%
9 46
15.9%
2 45
15.6%
5 22
 
7.6%
1 18
 
6.2%
7 14
 
4.8%
3 13
 
4.5%
8 11
 
3.8%
4 9
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 240
83.0%
Dash Punctuation 49
 
17.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 57
23.8%
9 46
19.2%
2 45
18.8%
5 22
 
9.2%
1 18
 
7.5%
7 14
 
5.8%
3 13
 
5.4%
8 11
 
4.6%
4 9
 
3.8%
6 5
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 289
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 57
19.7%
- 49
17.0%
9 46
15.9%
2 45
15.6%
5 22
 
7.6%
1 18
 
6.2%
7 14
 
4.8%
3 13
 
4.5%
8 11
 
3.8%
4 9
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 289
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 57
19.7%
- 49
17.0%
9 46
15.9%
2 45
15.6%
5 22
 
7.6%
1 18
 
6.2%
7 14
 
4.8%
3 13
 
4.5%
8 11
 
3.8%
4 9
 
3.1%

소재지면적
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing10
Missing (%)38.5%
Infinite0
Infinite (%)0.0%
Mean6280.3988
Minimum1160.29
Maximum37185
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-18T09:18:36.024798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1160.29
5-th percentile1208.05
Q11806.5325
median3259
Q35785.9875
95-th percentile20000.43
Maximum37185
Range36024.71
Interquartile range (IQR)3979.455

Descriptive statistics

Standard deviation8971.6725
Coefficient of variation (CV)1.4285196
Kurtosis10.437629
Mean6280.3988
Median Absolute Deviation (MAD)1784.27
Skewness3.0892026
Sum100486.38
Variance80490907
MonotonicityNot monotonic
2024-04-18T09:18:36.130768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
9189.28 1
 
3.8%
2544.15 1
 
3.8%
1223.97 1
 
3.8%
4677.07 1
 
3.8%
1160.29 1
 
3.8%
3901.38 1
 
3.8%
2006.76 1
 
3.8%
37185.0 1
 
3.8%
14272.24 1
 
3.8%
2892.0 1
 
3.8%
Other values (6) 6
23.1%
(Missing) 10
38.5%
ValueCountFrequency (%)
1160.29 1
3.8%
1223.97 1
3.8%
1449.82 1
3.8%
1499.64 1
3.8%
1908.83 1
3.8%
2006.76 1
3.8%
2544.15 1
3.8%
2892.0 1
3.8%
3626.0 1
3.8%
3901.38 1
3.8%
ValueCountFrequency (%)
37185.0 1
3.8%
14272.24 1
3.8%
9189.28 1
3.8%
7852.95 1
3.8%
5097.0 1
3.8%
4677.07 1
3.8%
3901.38 1
3.8%
3626.0 1
3.8%
2892.0 1
3.8%
2544.15 1
3.8%

소재지우편번호
Text

MISSING 

Distinct8
Distinct (%)88.9%
Missing17
Missing (%)65.4%
Memory size340.0 B
2024-04-18T09:18:36.266033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.4444444
Min length6

Characters and Unicode

Total characters58
Distinct characters10
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

Unique7 ?
Unique (%)77.8%

Sample

1st row132-830
2nd row132893
3rd row132890
4th row132863
5th row132-926
ValueCountFrequency (%)
132890 2
22.2%
132-830 1
11.1%
132893 1
11.1%
132863 1
11.1%
132-926 1
11.1%
132-896 1
11.1%
132-853 1
11.1%
132854 1
11.1%
2024-04-18T09:18:36.552788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 13
22.4%
2 10
17.2%
1 9
15.5%
8 8
13.8%
9 5
 
8.6%
- 4
 
6.9%
0 3
 
5.2%
6 3
 
5.2%
5 2
 
3.4%
4 1
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 54
93.1%
Dash Punctuation 4
 
6.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 13
24.1%
2 10
18.5%
1 9
16.7%
8 8
14.8%
9 5
 
9.3%
0 3
 
5.6%
6 3
 
5.6%
5 2
 
3.7%
4 1
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 58
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 13
22.4%
2 10
17.2%
1 9
15.5%
8 8
13.8%
9 5
 
8.6%
- 4
 
6.9%
0 3
 
5.2%
6 3
 
5.2%
5 2
 
3.4%
4 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 58
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 13
22.4%
2 10
17.2%
1 9
15.5%
8 8
13.8%
9 5
 
8.6%
- 4
 
6.9%
0 3
 
5.2%
6 3
 
5.2%
5 2
 
3.4%
4 1
 
1.7%

지번주소
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing2
Missing (%)7.7%
Memory size340.0 B
2024-04-18T09:18:36.753935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length31
Mean length24.583333
Min length18

Characters and Unicode

Total characters590
Distinct characters56
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row서울특별시 도봉구 쌍문동 388-1 한일병원
2nd row서울특별시 도봉구 도봉동 617-21
3rd row서울특별시 도봉구 방학동 665-6
4th row서울특별시 도봉구 방학3동 442
5th row서울특별시 도봉구 쌍문동 657번지 예일빌딩5층
ValueCountFrequency (%)
서울특별시 24
19.4%
도봉구 24
19.4%
쌍문동 7
 
5.6%
방학동 6
 
4.8%
1호 3
 
2.4%
창동 3
 
2.4%
508번지 2
 
1.6%
2~5층 2
 
1.6%
도봉동 2
 
1.6%
렉시온프라자 2
 
1.6%
Other values (46) 49
39.5%
2024-04-18T09:18:37.120877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
100
 
16.9%
시 26
 
4.4%
도 26
 
4.4%
봉 26
 
4.4%
서 24
 
4.1%
특 24
 
4.1%
별 24
 
4.1%
구 24
 
4.1%
동 24
 
4.1%
울 24
 
4.1%
Other values (46) 268
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 337
57.1%
Decimal Number 129
 
21.9%
Space Separator 100
 
16.9%
Dash Punctuation 14
 
2.4%
Other Punctuation 4
 
0.7%
Math Symbol 3
 
0.5%
Uppercase Letter 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 26
 
7.7%
도 26
 
7.7%
봉 26
 
7.7%
서 24
 
7.1%
특 24
 
7.1%
별 24
 
7.1%
구 24
 
7.1%
동 24
 
7.1%
울 24
 
7.1%
쌍 11
 
3.3%
Other values (29) 104
30.9%
Decimal Number
ValueCountFrequency (%)
1 19
14.7%
5 18
14.0%
7 18
14.0%
0 16
12.4%
3 13
10.1%
2 13
10.1%
6 12
9.3%
8 9
7.0%
4 7
 
5.4%
9 4
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
Y 1
33.3%
O 1
33.3%
Space Separator
ValueCountFrequency (%)
100
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 337
57.1%
Common 250
42.4%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 26
 
7.7%
도 26
 
7.7%
봉 26
 
7.7%
서 24
 
7.1%
특 24
 
7.1%
별 24
 
7.1%
구 24
 
7.1%
동 24
 
7.1%
울 24
 
7.1%
쌍 11
 
3.3%
Other values (29) 104
30.9%
Common
ValueCountFrequency (%)
100
40.0%
1 19
 
7.6%
5 18
 
7.2%
7 18
 
7.2%
0 16
 
6.4%
- 14
 
5.6%
3 13
 
5.2%
2 13
 
5.2%
6 12
 
4.8%
8 9
 
3.6%
Other values (4) 18
 
7.2%
Latin
ValueCountFrequency (%)
S 1
33.3%
Y 1
33.3%
O 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 337
57.1%
ASCII 253
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
100
39.5%
1 19
 
7.5%
5 18
 
7.1%
7 18
 
7.1%
0 16
 
6.3%
- 14
 
5.5%
3 13
 
5.1%
2 13
 
5.1%
6 12
 
4.7%
8 9
 
3.6%
Other values (7) 21
 
8.3%
Hangul
ValueCountFrequency (%)
시 26
 
7.7%
도 26
 
7.7%
봉 26
 
7.7%
서 24
 
7.1%
특 24
 
7.1%
별 24
 
7.1%
구 24
 
7.1%
동 24
 
7.1%
울 24
 
7.1%
쌍 11
 
3.3%
Other values (29) 104
30.9%

도로명주소
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing1
Missing (%)3.8%
Memory size340.0 B
2024-04-18T09:18:37.333169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length33
Mean length29.36
Min length21

Characters and Unicode

Total characters734
Distinct characters78
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row서울특별시 도봉구 우이천로 308, 한일병원 (쌍문동)
2nd row서울특별시 도봉구 도봉로 755(도봉동)
3rd row서울특별시 도봉구 도당로 51(방학동)
4th row서울특별시 도봉구 시루봉로 137 (방학동)
5th row서울특별시 도봉구 도봉로 569, 5층 (쌍문동, 준우빌딩)
ValueCountFrequency (%)
서울특별시 25
16.8%
도봉구 25
16.8%
쌍문동 10
 
6.7%
도봉로 8
 
5.4%
방학동 7
 
4.7%
삼양로 6
 
4.0%
창동 5
 
3.4%
2~5층 2
 
1.3%
방학로3길 2
 
1.3%
639 2
 
1.3%
Other values (51) 57
38.3%
2024-04-18T09:18:37.651766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
124
 
16.9%
봉 39
 
5.3%
도 38
 
5.2%
시 29
 
4.0%
, 27
 
3.7%
로 26
 
3.5%
서 25
 
3.4%
( 25
 
3.4%
) 25
 
3.4%
울 25
 
3.4%
Other values (68) 351
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 418
56.9%
Space Separator 124
 
16.9%
Decimal Number 107
 
14.6%
Other Punctuation 27
 
3.7%
Open Punctuation 25
 
3.4%
Close Punctuation 25
 
3.4%
Math Symbol 3
 
0.4%
Uppercase Letter 3
 
0.4%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 39
 
9.3%
도 38
 
9.1%
시 29
 
6.9%
로 26
 
6.2%
서 25
 
6.0%
울 25
 
6.0%
구 25
 
6.0%
별 25
 
6.0%
특 25
 
6.0%
동 25
 
6.0%
Other values (49) 136
32.5%
Decimal Number
ValueCountFrequency (%)
6 19
17.8%
1 15
14.0%
5 15
14.0%
3 14
13.1%
2 12
11.2%
0 10
9.3%
4 7
 
6.5%
7 7
 
6.5%
9 4
 
3.7%
8 4
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
Y 1
33.3%
S 1
33.3%
O 1
33.3%
Space Separator
ValueCountFrequency (%)
124
100.0%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 418
56.9%
Common 313
42.6%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 39
 
9.3%
도 38
 
9.1%
시 29
 
6.9%
로 26
 
6.2%
서 25
 
6.0%
울 25
 
6.0%
구 25
 
6.0%
별 25
 
6.0%
특 25
 
6.0%
동 25
 
6.0%
Other values (49) 136
32.5%
Common
ValueCountFrequency (%)
124
39.6%
, 27
 
8.6%
( 25
 
8.0%
) 25
 
8.0%
6 19
 
6.1%
1 15
 
4.8%
5 15
 
4.8%
3 14
 
4.5%
2 12
 
3.8%
0 10
 
3.2%
Other values (6) 27
 
8.6%
Latin
ValueCountFrequency (%)
Y 1
33.3%
S 1
33.3%
O 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 418
56.9%
ASCII 316
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
124
39.2%
, 27
 
8.5%
( 25
 
7.9%
) 25
 
7.9%
6 19
 
6.0%
1 15
 
4.7%
5 15
 
4.7%
3 14
 
4.4%
2 12
 
3.8%
0 10
 
3.2%
Other values (9) 30
 
9.5%
Hangul
ValueCountFrequency (%)
봉 39
 
9.3%
도 38
 
9.1%
시 29
 
6.9%
로 26
 
6.2%
서 25
 
6.0%
울 25
 
6.0%
구 25
 
6.0%
별 25
 
6.0%
특 25
 
6.0%
동 25
 
6.0%
Other values (49) 136
32.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)84.0%
Missing1
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean11902.44
Minimum1310
Maximum132890
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-18T09:18:37.770202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1310
5-th percentile1319.2
Q11365
median1390
Q31426
95-th percentile106577.6
Maximum132890
Range131580
Interquartile range (IQR)61

Descriptive statistics

Standard deviation36407.583
Coefficient of variation (CV)3.0588336
Kurtosis9.6408003
Mean11902.44
Median Absolute Deviation (MAD)34
Skewness3.2975181
Sum297561
Variance1.3255121 × 109
MonotonicityNot monotonic
2024-04-18T09:18:37.886047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1366 3
 
11.5%
1390 2
 
7.7%
1391 2
 
7.7%
1450 1
 
3.8%
1459 1
 
3.8%
1472 1
 
3.8%
1349 1
 
3.8%
1368 1
 
3.8%
132854 1
 
3.8%
1340 1
 
3.8%
Other values (11) 11
42.3%
ValueCountFrequency (%)
1310 1
 
3.8%
1316 1
 
3.8%
1332 1
 
3.8%
1340 1
 
3.8%
1349 1
 
3.8%
1356 1
 
3.8%
1365 1
 
3.8%
1366 3
11.5%
1368 1
 
3.8%
1384 1
 
3.8%
ValueCountFrequency (%)
132890 1
3.8%
132854 1
3.8%
1472 1
3.8%
1459 1
3.8%
1450 1
3.8%
1432 1
3.8%
1426 1
3.8%
1401 1
3.8%
1397 1
3.8%
1391 2
7.7%

사업장명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-04-18T09:18:38.083449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length7.6923077
Min length3

Characters and Unicode

Total characters200
Distinct characters80
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

Unique26 ?
Unique (%)100.0%

Sample

1st row의료법인한전의료재단 한일병원
2nd row서울노보스병원
3rd row가화한방병원
4th row경희늘푸른노인전문병원
5th row로덴성문치과병원
ValueCountFrequency (%)
의료법인한전의료재단 1
 
3.3%
한일병원 1
 
3.3%
희성한방병원 1
 
3.3%
팔팔요양병원 1
 
3.3%
서울사랑요양병원 1
 
3.3%
베이직병원 1
 
3.3%
정요양병원 1
 
3.3%
포근한맘요양병원 1
 
3.3%
슈바이처치과병원 1
 
3.3%
성모샘병원 1
 
3.3%
Other values (20) 20
66.7%
2024-04-18T09:18:39.064975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 27
 
13.5%
병 26
 
13.0%
양 9
 
4.5%
요 9
 
4.5%
한 8
 
4.0%
이 6
 
3.0%
의 5
 
2.5%
료 4
 
2.0%
4
 
2.0%
인 4
 
2.0%
Other values (70) 98
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 194
97.0%
Space Separator 4
 
2.0%
Close Punctuation 1
 
0.5%
Open Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 27
 
13.9%
병 26
 
13.4%
양 9
 
4.6%
요 9
 
4.6%
한 8
 
4.1%
이 6
 
3.1%
의 5
 
2.6%
료 4
 
2.1%
인 4
 
2.1%
성 4
 
2.1%
Other values (67) 92
47.4%
Space Separator
ValueCountFrequency (%)
4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 194
97.0%
Common 6
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 27
 
13.9%
병 26
 
13.4%
양 9
 
4.6%
요 9
 
4.6%
한 8
 
4.1%
이 6
 
3.1%
의 5
 
2.6%
료 4
 
2.1%
인 4
 
2.1%
성 4
 
2.1%
Other values (67) 92
47.4%
Common
ValueCountFrequency (%)
4
66.7%
) 1
 
16.7%
( 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 194
97.0%
ASCII 6
 
3.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 27
 
13.9%
병 26
 
13.4%
양 9
 
4.6%
요 9
 
4.6%
한 8
 
4.1%
이 6
 
3.1%
의 5
 
2.6%
료 4
 
2.1%
인 4
 
2.1%
성 4
 
2.1%
Other values (67) 92
47.4%
ASCII
ValueCountFrequency (%)
4
66.7%
) 1
 
16.7%
( 1
 
16.7%

최종수정일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2009-07-01 18:09:09
Maximum2024-03-28 23:43:17
2024-04-18T09:18:39.180251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T09:18:39.288126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

데이터갱신구분
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
U
23 
I
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 23
88.5%
I 3
 
11.5%

Length

2024-04-18T09:18:39.392225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:18:39.473100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 23
88.5%
i 3
 
11.5%

데이터갱신일자
Date

Distinct15
Distinct (%)57.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:07:00
2024-04-18T09:18:39.551629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T09:18:39.646816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

업태구분명
Categorical

Distinct7
Distinct (%)26.9%
Missing0
Missing (%)0.0%
Memory size340.0 B
요양병원(일반요양병원)
9 
병원
6 
한방병원
4 
정신병원
3 
치과병원
2 
Other values (2)
2 

Length

Max length12
Median length10
Mean length6.5384615
Min length2

Unique

Unique2 ?
Unique (%)7.7%

Sample

1st row종합병원
2nd row병원
3rd row한방병원
4th row요양병원(노인병원)
5th row치과병원

Common Values

ValueCountFrequency (%)
요양병원(일반요양병원) 9
34.6%
병원 6
23.1%
한방병원 4
15.4%
정신병원 3
 
11.5%
치과병원 2
 
7.7%
종합병원 1
 
3.8%
요양병원(노인병원) 1
 
3.8%

Length

2024-04-18T09:18:39.759475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:18:39.868472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
요양병원(일반요양병원 9
34.6%
병원 6
23.1%
한방병원 4
15.4%
정신병원 3
 
11.5%
치과병원 2
 
7.7%
종합병원 1
 
3.8%
요양병원(노인병원 1
 
3.8%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)92.0%
Missing1
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean202835.46
Minimum201098.76
Maximum203922.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-18T09:18:39.972173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201098.76
5-th percentile201153.43
Q1202338.94
median203334.77
Q3203622.89
95-th percentile203894.44
Maximum203922.04
Range2823.2803
Interquartile range (IQR)1283.9554

Descriptive statistics

Standard deviation1047.5084
Coefficient of variation (CV)0.0051643258
Kurtosis-0.96231613
Mean202835.46
Median Absolute Deviation (MAD)449.26333
Skewness-0.8275507
Sum5070886.4
Variance1097273.8
MonotonicityNot monotonic
2024-04-18T09:18:40.086957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
201167.086526829 2
 
7.7%
203922.041712071 2
 
7.7%
202466.119176743 1
 
3.8%
203151.226589443 1
 
3.8%
203511.533290165 1
 
3.8%
203762.994791244 1
 
3.8%
201098.761383515 1
 
3.8%
203622.893166335 1
 
3.8%
201152.846482468 1
 
3.8%
203651.208011649 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
201098.761383515 1
3.8%
201152.846482468 1
3.8%
201155.771526165 1
3.8%
201167.086526829 2
7.7%
201177.743198866 1
3.8%
202338.937796637 1
3.8%
202466.119176743 1
3.8%
202794.358626436 1
3.8%
202877.044270305 1
3.8%
202961.829052417 1
3.8%
ValueCountFrequency (%)
203922.041712071 2
7.7%
203784.030841855 1
3.8%
203762.994791244 1
3.8%
203651.208011649 1
3.8%
203650.127964614 1
3.8%
203622.893166335 1
3.8%
203610.16548874 1
3.8%
203556.661562956 1
3.8%
203554.863112547 1
3.8%
203511.533290165 1
3.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)92.0%
Missing1
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean461881.19
Minimum459468.17
Maximum463306.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-18T09:18:40.204683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum459468.17
5-th percentile460373.81
Q1461587.61
median461998.91
Q3462271.55
95-th percentile463138.38
Maximum463306.56
Range3838.3915
Interquartile range (IQR)683.94391

Descriptive statistics

Standard deviation882.67385
Coefficient of variation (CV)0.0019110409
Kurtosis1.3868768
Mean461881.19
Median Absolute Deviation (MAD)367.8258
Skewness-0.84394012
Sum11547030
Variance779113.13
MonotonicityNot monotonic
2024-04-18T09:18:40.313604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
461671.469939607 2
 
7.7%
462985.339920532 2
 
7.7%
460394.329853007 1
 
3.8%
459468.169735429 1
 
3.8%
462249.755144886 1
 
3.8%
463176.64494664 1
 
3.8%
461327.62658561 1
 
3.8%
462131.666721357 1
 
3.8%
461631.083128695 1
 
3.8%
462576.540812657 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
459468.169735429 1
3.8%
460368.674382853 1
3.8%
460394.329853007 1
3.8%
461327.62658561 1
3.8%
461407.057099298 1
3.8%
461499.945330147 1
3.8%
461587.609427955 1
3.8%
461631.083128695 1
3.8%
461671.469939607 2
7.7%
461734.803519059 1
3.8%
ValueCountFrequency (%)
463306.561200616 1
3.8%
463176.64494664 1
3.8%
462985.339920532 2
7.7%
462576.540812657 1
3.8%
462312.588860817 1
3.8%
462271.553341754 1
3.8%
462249.755144886 1
3.8%
462195.079384745 1
3.8%
462181.548748132 1
3.8%
462131.666721357 1
3.8%

의료기관종별명
Text

MISSING 

Distinct3
Distinct (%)60.0%
Missing21
Missing (%)80.8%
Memory size340.0 B
2024-04-18T09:18:40.455512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length8.4
Min length2

Characters and Unicode

Total characters42
Distinct characters10
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)40.0%

Sample

1st row요양병원(일반요양병원)
2nd row병원
3rd row요양병원(일반요양병원)
4th row요양병원(일반요양병원)
5th row치과병원
ValueCountFrequency (%)
요양병원(일반요양병원 3
60.0%
병원 1
 
20.0%
치과병원 1
 
20.0%
2024-04-18T09:18:40.697502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
병 8
19.0%
원 8
19.0%
요 6
14.3%
양 6
14.3%
( 3
 
7.1%
일 3
 
7.1%
반 3
 
7.1%
) 3
 
7.1%
치 1
 
2.4%
과 1
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36
85.7%
Open Punctuation 3
 
7.1%
Close Punctuation 3
 
7.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
병 8
22.2%
원 8
22.2%
요 6
16.7%
양 6
16.7%
일 3
 
8.3%
반 3
 
8.3%
치 1
 
2.8%
과 1
 
2.8%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36
85.7%
Common 6
 
14.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
병 8
22.2%
원 8
22.2%
요 6
16.7%
양 6
16.7%
일 3
 
8.3%
반 3
 
8.3%
치 1
 
2.8%
과 1
 
2.8%
Common
ValueCountFrequency (%)
( 3
50.0%
) 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36
85.7%
ASCII 6
 
14.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
병 8
22.2%
원 8
22.2%
요 6
16.7%
양 6
16.7%
일 3
 
8.3%
반 3
 
8.3%
치 1
 
2.8%
과 1
 
2.8%
ASCII
ValueCountFrequency (%)
( 3
50.0%
) 3
50.0%

의료인수
Categorical

IMBALANCE 

Distinct6
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
21 
22
 
1
2
 
1
3
 
1
9
 
1

Length

Max length4
Median length4
Mean length3.4615385
Min length1

Unique

Unique5 ?
Unique (%)19.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
80.8%
22 1
 
3.8%
2 1
 
3.8%
3 1
 
3.8%
9 1
 
3.8%
1 1
 
3.8%

Length

2024-04-18T09:18:40.820861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:18:40.923206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
80.8%
22 1
 
3.8%
2 1
 
3.8%
3 1
 
3.8%
9 1
 
3.8%
1 1
 
3.8%

입원실수
Categorical

IMBALANCE 

Distinct5
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
21 
0
 
2
26
 
1
23
 
1
8
 
1

Length

Max length4
Median length4
Mean length3.5
Min length1

Unique

Unique3 ?
Unique (%)11.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
80.8%
0 2
 
7.7%
26 1
 
3.8%
23 1
 
3.8%
8 1
 
3.8%

Length

2024-04-18T09:18:41.030058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:18:41.130385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
80.8%
0 2
 
7.7%
26 1
 
3.8%
23 1
 
3.8%
8 1
 
3.8%

병상수
Categorical

IMBALANCE 

Distinct6
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
21 
199
 
1
80
 
1
185
 
1
73
 
1

Length

Max length4
Median length4
Mean length3.6538462
Min length1

Unique

Unique5 ?
Unique (%)19.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
80.8%
199 1
 
3.8%
80 1
 
3.8%
185 1
 
3.8%
73 1
 
3.8%
0 1
 
3.8%

Length

2024-04-18T09:18:41.242943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:18:41.338549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
80.8%
199 1
 
3.8%
80 1
 
3.8%
185 1
 
3.8%
73 1
 
3.8%
0 1
 
3.8%

총면적
Categorical

IMBALANCE 

Distinct6
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
21 
3675.0
 
1
945.0
 
1
2706.65
 
1
963.77
 
1

Length

Max length7
Median length4
Mean length4.3846154
Min length4

Unique

Unique5 ?
Unique (%)19.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
80.8%
3675.0 1
 
3.8%
945.0 1
 
3.8%
2706.65 1
 
3.8%
963.77 1
 
3.8%
295.53 1
 
3.8%

Length

2024-04-18T09:18:41.456931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:18:41.550480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
80.8%
3675.0 1
 
3.8%
945.0 1
 
3.8%
2706.65 1
 
3.8%
963.77 1
 
3.8%
295.53 1
 
3.8%

진료과목내용
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing21
Missing (%)80.8%
Memory size340.0 B
2024-04-18T09:18:41.690768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length35
Mean length27.8
Min length15

Characters and Unicode

Total characters139
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

Unique5 ?
Unique (%)100.0%

Sample

1st row101 122 120 102 113 306 301 308 105
2nd row103 101 104 116
3rd row101 122 106 104 301
4th row101 102 105 122 301 302 303 304 305 306 307 308 309
5th row403 203 407 406 405
ValueCountFrequency (%)
101 4
 
11.1%
301 3
 
8.3%
122 3
 
8.3%
102 2
 
5.6%
306 2
 
5.6%
308 2
 
5.6%
105 2
 
5.6%
104 2
 
5.6%
305 1
 
2.8%
406 1
 
2.8%
Other values (14) 14
38.9%
2024-04-18T09:18:41.965796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 31
22.3%
31
22.3%
1 27
19.4%
3 18
12.9%
2 11
 
7.9%
4 7
 
5.0%
6 5
 
3.6%
5 4
 
2.9%
8 2
 
1.4%
7 2
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 108
77.7%
Space Separator 31
 
22.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 31
28.7%
1 27
25.0%
3 18
16.7%
2 11
 
10.2%
4 7
 
6.5%
6 5
 
4.6%
5 4
 
3.7%
8 2
 
1.9%
7 2
 
1.9%
9 1
 
0.9%
Space Separator
ValueCountFrequency (%)
31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 139
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 31
22.3%
31
22.3%
1 27
19.4%
3 18
12.9%
2 11
 
7.9%
4 7
 
5.0%
6 5
 
3.6%
5 4
 
2.9%
8 2
 
1.4%
7 2
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 139
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 31
22.3%
31
22.3%
1 27
19.4%
3 18
12.9%
2 11
 
7.9%
4 7
 
5.0%
6 5
 
3.6%
5 4
 
2.9%
8 2
 
1.4%
7 2
 
1.4%

진료과목내용명
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing21
Missing (%)80.8%
Memory size340.0 B
2024-04-18T09:18:42.137729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length91
Median length30
Mean length44.4
Min length22

Characters and Unicode

Total characters222
Distinct characters43
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row내과, 신경과, 정형외과, 이비인후과, 재활의학과, 가정의학과, 한방내과, 한방재활의학과, 침구과
2nd row내과, 정신건강의학과, 외과, 영상의학과
3rd row내과, 외과, 신경외과, 가정의학과, 한방내과
4th row내과, 신경과, 정형외과, 가정의학과, 한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과, 한방응급과
5th row치과교정과, 치과보철과, 소아치과, 치주과, 치과보존과
ValueCountFrequency (%)
내과 4
 
11.1%
가정의학과 3
 
8.3%
한방내과 3
 
8.3%
정형외과 2
 
5.6%
한방재활의학과 2
 
5.6%
침구과 2
 
5.6%
외과 2
 
5.6%
신경과 2
 
5.6%
한방신경정신과 1
 
2.8%
치주과 1
 
2.8%
Other values (14) 14
38.9%
2024-04-18T09:18:42.439042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 39
17.6%
, 31
14.0%
31
14.0%
방 10
 
4.5%
한 10
 
4.5%
의 8
 
3.6%
정 8
 
3.6%
학 8
 
3.6%
내 7
 
3.2%
신 6
 
2.7%
Other values (33) 64
28.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 158
71.2%
Other Punctuation 33
 
14.9%
Space Separator 31
 
14.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 39
24.7%
방 10
 
6.3%
한 10
 
6.3%
의 8
 
5.1%
정 8
 
5.1%
학 8
 
5.1%
내 7
 
4.4%
신 6
 
3.8%
외 5
 
3.2%
치 5
 
3.2%
Other values (30) 52
32.9%
Other Punctuation
ValueCountFrequency (%)
, 31
93.9%
? 2
 
6.1%
Space Separator
ValueCountFrequency (%)
31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 158
71.2%
Common 64
28.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 39
24.7%
방 10
 
6.3%
한 10
 
6.3%
의 8
 
5.1%
정 8
 
5.1%
학 8
 
5.1%
내 7
 
4.4%
신 6
 
3.8%
외 5
 
3.2%
치 5
 
3.2%
Other values (30) 52
32.9%
Common
ValueCountFrequency (%)
, 31
48.4%
31
48.4%
? 2
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 158
71.2%
ASCII 64
28.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 39
24.7%
방 10
 
6.3%
한 10
 
6.3%
의 8
 
5.1%
정 8
 
5.1%
학 8
 
5.1%
내 7
 
4.4%
신 6
 
3.8%
외 5
 
3.2%
치 5
 
3.2%
Other values (30) 52
32.9%
ASCII
ValueCountFrequency (%)
, 31
48.4%
31
48.4%
? 2
 
3.1%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

구급차특수
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
21 
0
5 

Length

Max length4
Median length4
Mean length3.4230769
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
80.8%
0 5
 
19.2%

Length

2024-04-18T09:18:42.561794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:18:42.646621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
80.8%
0 5
 
19.2%

구급차일반
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
21 
0
5 

Length

Max length4
Median length4
Mean length3.4230769
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
80.8%
0 5
 
19.2%

Length

2024-04-18T09:18:42.742591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:18:42.828985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
80.8%
0 5
 
19.2%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

허가병상수
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
21 
0
5 

Length

Max length4
Median length4
Mean length3.4230769
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
80.8%
0 5
 
19.2%

Length

2024-04-18T09:18:42.931274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:18:43.018456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
80.8%
0 5
 
19.2%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03090000PHMA2197430900330212000011974-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-901-311437185.0<NA>서울특별시 도봉구 쌍문동 388-1 한일병원서울특별시 도봉구 우이천로 308, 한일병원 (쌍문동)1450의료법인한전의료재단 한일병원2024-03-28 13:57:17U2023-12-02 21:00:00.0종합병원202466.119177460394.329853<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13090000PHMA2199330900330212000011993-02-03<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3492-325114272.24<NA>서울특별시 도봉구 도봉동 617-21서울특별시 도봉구 도봉로 755(도봉동)1310서울노보스병원2024-01-29 15:25:46U2023-11-30 21:01:00.0병원203784.030842463306.561201<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23090000PHMA2200230900330212000012002-09-04<NA>1영업/정상13영업중<NA><NA><NA><NA>02-955-17721499.64<NA>서울특별시 도봉구 방학동 665-6서울특별시 도봉구 도당로 51(방학동)1356가화한방병원2023-12-20 10:27:38U2022-11-01 22:03:00.0한방병원202961.829052462271.553342<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33090000PHMA2200430900330212000012004-08-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-903-99203626.0132-830서울특별시 도봉구 방학3동 442서울특별시 도봉구 시루봉로 137 (방학동)1316경희늘푸른노인전문병원2023-11-06 17:32:15U2022-11-01 00:08:00.0요양병원(노인병원)202338.937797462312.588861<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43090000PHMA22005309003302120000120050502<NA>1영업/정상13영업중<NA><NA><NA><NA>02-999-9100<NA>132893서울특별시 도봉구 쌍문동 657번지 예일빌딩5층서울특별시 도봉구 도봉로 569, 5층 (쌍문동, 준우빌딩)1432로덴성문치과병원2022-09-22 09:17:33U2021-12-08 22:04:00.0치과병원203334.767508461499.94533<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53090000PHMA2200530900330212000022005-05-16<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1666-58537852.95<NA>서울특별시 도봉구 창동 749번지 10호서울특별시 도봉구 도봉로 628 (창동, 바로선병원)1397바로선병원2023-11-30 17:56:48U2022-11-02 00:02:00.0병원203650.127965461998.908926<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63090000PHMA2200630900330212000012006-07-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-992-75821908.83<NA><NA>서울특별시 도봉구 방학로 177 (방학동)1384스카이요양병원2023-11-06 17:33:45U2022-11-01 00:08:00.0요양병원(일반요양병원)202794.358626462181.548748<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73090000PHMA2200730900330212000012007-05-22<NA>1영업/정상13영업중<NA><NA><NA><NA>02-902-3294<NA><NA>서울특별시 도봉구 쌍문동 509번지 1호 백운빌딩서울특별시 도봉구 삼양로 616, 2-5층 (쌍문동)1365퍼스트요양병원2023-06-28 11:17:30U2022-12-05 21:00:00.0요양병원(일반요양병원)201177.743199461734.803519<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83090000PHMA22007309003302120000220071005<NA>3폐업3폐업20190115<NA><NA><NA>02-990-3001<NA>132890서울특별시 도봉구 쌍문1동 507-1서울특별시 도봉구 삼양로 600 (쌍문동)1366조이요양병원2019-07-29 17:06:40U2019-07-31 02:40:00.0요양병원(일반요양병원)201155.771526461587.609428요양병원(일반요양병원)22261993675.0101 122 120 102 113 306 301 308 105내과, 신경과, 정형외과, 이비인후과, 재활의학과, 가정의학과, 한방내과, 한방재활의학과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
93090000PHMA22008309003302120000120080108<NA>3폐업3폐업20090701<NA><NA><NA>02-990-5900<NA>132863서울특별시 도봉구 쌍문2동 80-70<NA><NA>굿모닝병원2009-07-01 18:09:09I2018-08-31 23:59:59.0병원<NA><NA>병원2080945.0103 101 104 116내과, 정신건강의학과, 외과, 영상의학과<NA><NA><NA>00<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
163090000PHMA22011309003302120000120110808<NA>3폐업3폐업20190528<NA><NA><NA>02-3492-7888<NA><NA>서울특별시 도봉구 방학동 677번지 11호서울특별시 도봉구 방학로3길 13 (방학동, 상곡빌딩)1390(사)한국지체장애인협회 새보람요양병원2019-07-29 17:07:31U2019-07-31 02:40:00.0요양병원(일반요양병원)203554.863113462195.079385요양병원(일반요양병원)9873963.77101 102 105 122 301 302 303 304 305 306 307 308 309내과, 신경과, 정형외과, 가정의학과, 한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과, 한방응급과<NA><NA><NA>00<NA><NA>0<NA>
173090000PHMA2201230900330212000012012-07-27<NA>3폐업3폐업2022-07-13<NA><NA><NA>02-951-0552<NA>132-853서울특별시 도봉구 방학동 703번지 14호서울특별시 도봉구 도봉로 683, 5,6,7층 (방학동)1340성모샘병원2022-07-11 09:27:45U2022-12-06 23:04:00.0정신병원203651.208012462576.540813<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
183090000PHMA22012309003302120000220120918<NA>3폐업3폐업20140728<NA><NA><NA>02-955-5545<NA>132854서울특별시 도봉구 방학동 719번지 3호 렉시온프라자 305-308호서울특별시 도봉구 도봉로152길 26 (방학동, 렉시온프라자 305-308호)132854슈바이처치과병원2014-07-28 17:39:16I2018-08-31 23:59:59.0치과병원203922.041712462985.339921치과병원100295.53403 203 407 406 405치과교정과, 치과보철과, 소아치과, 치주과, 치과보존과<NA><NA><NA>00<NA><NA>0<NA>
193090000PHMA2201230900330212000032012-12-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-986-99772006.76<NA>서울특별시 도봉구 쌍문동 508-2 2~5층서울특별시 도봉구 삼양로 606, 2~5층 (쌍문동)1366포근한맘요양병원2023-12-20 10:10:45U2022-11-01 22:03:00.0요양병원(일반요양병원)201152.846482461631.083129<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
203090000PHMA2201330900330212000012013-07-19<NA>3폐업3폐업2023-05-09<NA><NA><NA>02-900-5513<NA><NA>서울특별시 도봉구 쌍문동 707-13 정병원 5,6층서울특별시 도봉구 도봉로 639, 정병원 5,6층 (쌍문동)1391정요양병원2023-05-10 11:15:03U2022-12-04 23:02:00.0요양병원(일반요양병원)203622.893166462131.666721<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
213090000PHMA2201530900330212000012015-08-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-990-29993901.38<NA>서울특별시 도봉구 쌍문동 508번지 1호서울특별시 도봉구 삼양로 610, 지하1층층 지상1,2,3,4호 (쌍문동, 산수디앤씨)1366베이직병원2024-03-28 23:43:17U2023-12-02 21:00:00.0정신병원201167.086527461671.46994<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
223090000PHMA2201630900330212000012016-06-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2039-50991160.29<NA>서울특별시 도봉구 쌍문동 503-8 2~5층서울특별시 도봉구 삼양로 574, 2~5층 (쌍문동)1368서울사랑요양병원2023-11-06 17:44:32U2022-11-01 00:08:00.0요양병원(일반요양병원)201098.761384461327.626586<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
233090000PHMA2202230900330212000012022-01-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3492-08884677.07<NA>서울특별시 도봉구 도봉동 620-23 화성빌딩서울특별시 도봉구 시루봉로 310, 화성빌딩 (도봉동)1349팔팔요양병원2023-11-06 17:44:11U2022-11-01 00:08:00.0요양병원(일반요양병원)203762.994791463176.644947<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243090000PHMA2202230900330212000022022-04-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3491-77751223.97<NA>서울특별시 도봉구 방학동 676-21 SYO빌딩 1층, 4층서울특별시 도봉구 방학로3길 6, SYO빌딩 1, 4층 (방학동)1390희성한방병원2023-11-08 12:44:25U2022-10-31 23:00:00.0한방병원203511.53329462249.755145<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
253090000PHMA2202230900330212000032022-09-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-991-10752544.15<NA>서울특별시 도봉구 창동 553-2 3~7층서울특별시 도봉구 덕릉로 215, 3~7층 (창동)1472자향한방병원2023-11-06 17:45:37U2022-11-01 00:08:00.0한방병원203151.226589459468.169735<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>