Overview

Dataset statistics

Number of variables41
Number of observations78
Missing cells1251
Missing cells (%)39.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.9 KiB
Average record size in memory352.7 B

Variable types

Categorical12
Text8
DateTime4
Unsupported10
Numeric7

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
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-16177/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 78 (100.0%) missing valuesMissing
폐업일자 has 54 (69.2%) missing valuesMissing
휴업시작일자 has 78 (100.0%) missing valuesMissing
휴업종료일자 has 78 (100.0%) missing valuesMissing
재개업일자 has 78 (100.0%) missing valuesMissing
전화번호 has 2 (2.6%) missing valuesMissing
소재지면적 has 59 (75.6%) missing valuesMissing
소재지우편번호 has 66 (84.6%) missing valuesMissing
지번주소 has 19 (24.4%) missing valuesMissing
도로명주소 has 32 (41.0%) missing valuesMissing
도로명우편번호 has 33 (42.3%) missing valuesMissing
좌표정보(X) has 33 (42.3%) missing valuesMissing
좌표정보(Y) has 33 (42.3%) missing valuesMissing
의료인수 has 28 (35.9%) missing valuesMissing
입원실수 has 28 (35.9%) missing valuesMissing
병상수 has 28 (35.9%) missing valuesMissing
총면적 has 28 (35.9%) missing valuesMissing
진료과목내용 has 28 (35.9%) missing valuesMissing
지정취소일자 has 78 (100.0%) missing valuesMissing
완화의료지정형태 has 78 (100.0%) missing valuesMissing
완화의료담당부서명 has 78 (100.0%) missing valuesMissing
총인원 has 78 (100.0%) missing valuesMissing
구조사수 has 78 (100.0%) missing valuesMissing
최초지정일자 has 78 (100.0%) missing valuesMissing
관리번호 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
의료인수 has 23 (29.5%) zerosZeros
입원실수 has 29 (37.2%) zerosZeros
병상수 has 29 (37.2%) zerosZeros
총면적 has 26 (33.3%) zerosZeros

Reproduction

Analysis started2024-04-29 18:54:56.073251
Analysis finished2024-04-29 18:54:56.837605
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size756.0 B
3180000
78 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 78
100.0%

Length

2024-04-30T03:54:56.897417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:54:56.977563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 78
100.0%

관리번호
Text

UNIQUE 

Distinct78
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size756.0 B
2024-04-30T03:54:57.121965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters1950
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

Unique78 ?
Unique (%)100.0%

Sample

1st rowPHMA219823180034021200001
2nd rowPHMA219853180034021200001
3rd rowPHMA219863180034021200001
4th rowPHMA219873180034021200001
5th rowPHMA219893180034021200001
ValueCountFrequency (%)
phma219823180034021200001 1
 
1.3%
phma220073180034021200001 1
 
1.3%
phma220103180034021200001 1
 
1.3%
phma220093180034021200001 1
 
1.3%
phma220083180034021200004 1
 
1.3%
phma220083180034021200003 1
 
1.3%
phma220083180034021200002 1
 
1.3%
phma220073180034021200004 1
 
1.3%
phma220143180034021200001 1
 
1.3%
phma220063180034021200005 1
 
1.3%
Other values (68) 68
87.2%
2024-04-30T03:54:57.391579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 664
34.1%
2 324
16.6%
1 228
 
11.7%
3 175
 
9.0%
4 101
 
5.2%
8 88
 
4.5%
P 78
 
4.0%
H 78
 
4.0%
M 78
 
4.0%
A 78
 
4.0%
Other values (4) 58
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1638
84.0%
Uppercase Letter 312
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 664
40.5%
2 324
19.8%
1 228
 
13.9%
3 175
 
10.7%
4 101
 
6.2%
8 88
 
5.4%
9 24
 
1.5%
5 17
 
1.0%
6 9
 
0.5%
7 8
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
P 78
25.0%
H 78
25.0%
M 78
25.0%
A 78
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1638
84.0%
Latin 312
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 664
40.5%
2 324
19.8%
1 228
 
13.9%
3 175
 
10.7%
4 101
 
6.2%
8 88
 
5.4%
9 24
 
1.5%
5 17
 
1.0%
6 9
 
0.5%
7 8
 
0.5%
Latin
ValueCountFrequency (%)
P 78
25.0%
H 78
25.0%
M 78
25.0%
A 78
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1950
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 664
34.1%
2 324
16.6%
1 228
 
11.7%
3 175
 
9.0%
4 101
 
5.2%
8 88
 
4.5%
P 78
 
4.0%
H 78
 
4.0%
M 78
 
4.0%
A 78
 
4.0%
Other values (4) 58
 
3.0%

인허가일자
Date

Distinct73
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size756.0 B
Minimum1974-09-24 00:00:00
Maximum2023-10-04 00:00:00
2024-04-30T03:54:57.507714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:54:57.621577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing78
Missing (%)100.0%
Memory size834.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size756.0 B
3
46 
1
30 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 46
59.0%
1 30
38.5%
4 2
 
2.6%

Length

2024-04-30T03:54:57.722882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:54:57.807635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 46
59.0%
1 30
38.5%
4 2
 
2.6%

영업상태명
Categorical

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size756.0 B
폐업
46 
영업/정상
30 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length2
Mean length3.4615385
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 46
59.0%
영업/정상 30
38.5%
취소/말소/만료/정지/중지 2
 
2.6%

Length

2024-04-30T03:54:57.907289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:54:58.003418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 46
59.0%
영업/정상 30
38.5%
취소/말소/만료/정지/중지 2
 
2.6%

상세영업상태코드
Categorical

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size756.0 B
3
46 
13
30 
24
 
2

Length

Max length2
Median length1
Mean length1.4102564
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 46
59.0%
13 30
38.5%
24 2
 
2.6%

Length

2024-04-30T03:54:58.106545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:54:58.190450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 46
59.0%
13 30
38.5%
24 2
 
2.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size756.0 B
폐업
46 
영업중
30 
직권폐업
 
2

Length

Max length4
Median length2
Mean length2.4358974
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 46
59.0%
영업중 30
38.5%
직권폐업 2
 
2.6%

Length

2024-04-30T03:54:58.289230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:54:58.396279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 46
59.0%
영업중 30
38.5%
직권폐업 2
 
2.6%

폐업일자
Date

MISSING 

Distinct23
Distinct (%)95.8%
Missing54
Missing (%)69.2%
Memory size756.0 B
Minimum2006-09-13 00:00:00
Maximum2023-11-30 00:00:00
2024-04-30T03:54:58.479462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:54:58.583315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing78
Missing (%)100.0%
Memory size834.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing78
Missing (%)100.0%
Memory size834.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing78
Missing (%)100.0%
Memory size834.0 B

전화번호
Text

MISSING 

Distinct53
Distinct (%)69.7%
Missing2
Missing (%)2.6%
Memory size756.0 B
2024-04-30T03:54:58.784515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.460526
Min length8

Characters and Unicode

Total characters871
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

Unique44 ?
Unique (%)57.9%

Sample

1st row02-840-7114
2nd row02-829-5114
3rd row-1661-7575
4th row02-841-0101
5th row02-840-0101
ValueCountFrequency (%)
02-2634-7500 7
 
9.2%
02-2068-7577 5
 
6.6%
02-2635-2809 5
 
6.6%
02-845-0777 3
 
3.9%
02-841-0101 3
 
3.9%
02-2679-5118 3
 
3.9%
02-2678-8225 2
 
2.6%
02-2635-3883 2
 
2.6%
02-832-0151 2
 
2.6%
02-2671-1541 1
 
1.3%
Other values (43) 43
56.6%
2024-04-30T03:54:59.106596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 150
17.2%
- 146
16.8%
2 138
15.8%
7 83
9.5%
1 71
8.2%
8 63
7.2%
5 57
 
6.5%
6 56
 
6.4%
3 40
 
4.6%
9 35
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 725
83.2%
Dash Punctuation 146
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 150
20.7%
2 138
19.0%
7 83
11.4%
1 71
9.8%
8 63
8.7%
5 57
 
7.9%
6 56
 
7.7%
3 40
 
5.5%
9 35
 
4.8%
4 32
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 146
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 871
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 150
17.2%
- 146
16.8%
2 138
15.8%
7 83
9.5%
1 71
8.2%
8 63
7.2%
5 57
 
6.5%
6 56
 
6.4%
3 40
 
4.6%
9 35
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 871
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 150
17.2%
- 146
16.8%
2 138
15.8%
7 83
9.5%
1 71
8.2%
8 63
7.2%
5 57
 
6.5%
6 56
 
6.4%
3 40
 
4.6%
9 35
 
4.0%

소재지면적
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing59
Missing (%)75.6%
Infinite0
Infinite (%)0.0%
Mean10469.876
Minimum1276.71
Maximum58385.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-04-30T03:54:59.219347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1276.71
5-th percentile1616.433
Q12384.08
median3892.24
Q38708.325
95-th percentile53343.908
Maximum58385.6
Range57108.89
Interquartile range (IQR)6324.245

Descriptive statistics

Standard deviation16568.015
Coefficient of variation (CV)1.5824461
Kurtosis5.2157643
Mean10469.876
Median Absolute Deviation (MAD)1827.24
Skewness2.4698141
Sum198927.65
Variance2.7449912 × 108
MonotonicityNot monotonic
2024-04-30T03:54:59.308276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
58385.6 1
 
1.3%
1654.18 1
 
1.3%
3992.91 1
 
1.3%
2065.0 1
 
1.3%
8690.51 1
 
1.3%
2456.7 1
 
1.3%
1940.76 1
 
1.3%
1276.71 1
 
1.3%
3715.21 1
 
1.3%
20380.0 1
 
1.3%
Other values (9) 9
 
11.5%
(Missing) 59
75.6%
ValueCountFrequency (%)
1276.71 1
1.3%
1654.18 1
1.3%
1940.76 1
1.3%
2065.0 1
1.3%
2311.46 1
1.3%
2456.7 1
1.3%
2965.07 1
1.3%
3554.79 1
1.3%
3715.21 1
1.3%
3892.24 1
1.3%
ValueCountFrequency (%)
58385.6 1
1.3%
52783.72 1
1.3%
20380.0 1
1.3%
11641.45 1
1.3%
8726.14 1
1.3%
8690.51 1
1.3%
4322.22 1
1.3%
4172.98 1
1.3%
3992.91 1
1.3%
3892.24 1
1.3%

소재지우편번호
Text

MISSING 

Distinct10
Distinct (%)83.3%
Missing66
Missing (%)84.6%
Memory size756.0 B
2024-04-30T03:54:59.445078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0833333
Min length6

Characters and Unicode

Total characters73
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

Unique8 ?
Unique (%)66.7%

Sample

1st row150300
2nd row150949
3rd row150737
4th row150053
5th row150863
ValueCountFrequency (%)
150737 2
16.7%
150863 2
16.7%
150300 1
8.3%
150949 1
8.3%
150053 1
8.3%
150038 1
8.3%
150798 1
8.3%
150036 1
8.3%
150092 1
8.3%
150-036 1
8.3%
2024-04-30T03:54:59.690870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 19
26.0%
5 13
17.8%
1 12
16.4%
3 9
12.3%
7 5
 
6.8%
8 4
 
5.5%
6 4
 
5.5%
9 4
 
5.5%
4 1
 
1.4%
2 1
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72
98.6%
Dash Punctuation 1
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19
26.4%
5 13
18.1%
1 12
16.7%
3 9
12.5%
7 5
 
6.9%
8 4
 
5.6%
6 4
 
5.6%
9 4
 
5.6%
4 1
 
1.4%
2 1
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 73
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 19
26.0%
5 13
17.8%
1 12
16.4%
3 9
12.3%
7 5
 
6.8%
8 4
 
5.5%
6 4
 
5.5%
9 4
 
5.5%
4 1
 
1.4%
2 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 73
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 19
26.0%
5 13
17.8%
1 12
16.4%
3 9
12.3%
7 5
 
6.8%
8 4
 
5.5%
6 4
 
5.5%
9 4
 
5.5%
4 1
 
1.4%
2 1
 
1.4%

지번주소
Text

MISSING 

Distinct40
Distinct (%)67.8%
Missing19
Missing (%)24.4%
Memory size756.0 B
2024-04-30T03:54:59.895295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length24.457627
Min length19

Characters and Unicode

Total characters1443
Distinct characters62
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)47.5%

Sample

1st row서울특별시 영등포구 영등포본동 103번지 21호
2nd row서울특별시 영등포구 신길동 103-21
3rd row서울특별시 영등포구 양평동1가 120-32
4th row서울특별시 영등포구 영등포동4가 156-0
5th row서울 영등포구 신길3동 232-84
ValueCountFrequency (%)
영등포구 59
22.3%
서울특별시 57
21.5%
신길동 8
 
3.0%
문래동2가 7
 
2.6%
영등포동4가 7
 
2.6%
39-10 6
 
2.3%
영등포동7가 6
 
2.3%
영등포동8가 5
 
1.9%
대림동 5
 
1.9%
여의도동 5
 
1.9%
Other values (68) 100
37.7%
2024-04-30T03:55:00.234056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
266
18.4%
포 83
 
5.8%
영 83
 
5.8%
등 83
 
5.8%
동 60
 
4.2%
울 60
 
4.2%
서 60
 
4.2%
구 59
 
4.1%
시 57
 
4.0%
별 57
 
4.0%
Other values (52) 575
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 871
60.4%
Decimal Number 267
 
18.5%
Space Separator 266
 
18.4%
Dash Punctuation 37
 
2.6%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 83
 
9.5%
영 83
 
9.5%
등 83
 
9.5%
동 60
 
6.9%
울 60
 
6.9%
서 60
 
6.9%
구 59
 
6.8%
시 57
 
6.5%
별 57
 
6.5%
특 57
 
6.5%
Other values (39) 212
24.3%
Decimal Number
ValueCountFrequency (%)
1 47
17.6%
3 45
16.9%
2 37
13.9%
0 28
10.5%
7 25
9.4%
6 23
8.6%
8 19
7.1%
5 17
 
6.4%
4 16
 
6.0%
9 10
 
3.7%
Space Separator
ValueCountFrequency (%)
266
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 871
60.4%
Common 572
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 83
 
9.5%
영 83
 
9.5%
등 83
 
9.5%
동 60
 
6.9%
울 60
 
6.9%
서 60
 
6.9%
구 59
 
6.8%
시 57
 
6.5%
별 57
 
6.5%
특 57
 
6.5%
Other values (39) 212
24.3%
Common
ValueCountFrequency (%)
266
46.5%
1 47
 
8.2%
3 45
 
7.9%
- 37
 
6.5%
2 37
 
6.5%
0 28
 
4.9%
7 25
 
4.4%
6 23
 
4.0%
8 19
 
3.3%
5 17
 
3.0%
Other values (3) 28
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 871
60.4%
ASCII 572
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
266
46.5%
1 47
 
8.2%
3 45
 
7.9%
- 37
 
6.5%
2 37
 
6.5%
0 28
 
4.9%
7 25
 
4.4%
6 23
 
4.0%
8 19
 
3.3%
5 17
 
3.0%
Other values (3) 28
 
4.9%
Hangul
ValueCountFrequency (%)
포 83
 
9.5%
영 83
 
9.5%
등 83
 
9.5%
동 60
 
6.9%
울 60
 
6.9%
서 60
 
6.9%
구 59
 
6.8%
시 57
 
6.5%
별 57
 
6.5%
특 57
 
6.5%
Other values (39) 212
24.3%

도로명주소
Text

MISSING 

Distinct44
Distinct (%)95.7%
Missing32
Missing (%)41.0%
Memory size756.0 B
2024-04-30T03:55:00.457679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38.5
Mean length32.173913
Min length24

Characters and Unicode

Total characters1480
Distinct characters113
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

Unique42 ?
Unique (%)91.3%

Sample

1st row서울특별시 영등포구 여의대방로53길 22 (신길동, 성애병원)
2nd row서울특별시 영등포구 신길로 1 (대림동, 강남성심병원)
3rd row서울특별시 영등포구 63로 10, 여의도성모병원 (여의도동)
4th row서울특별시 영등포구 영등포로 358 (신길동)
5th row서울특별시 영등포구 도림로 156, 명지성모병원 (대림동)
ValueCountFrequency (%)
서울특별시 46
 
16.8%
영등포구 46
 
16.8%
대림동 10
 
3.7%
영중로 7
 
2.6%
신길동 7
 
2.6%
여의도동 5
 
1.8%
영등포동4가 5
 
1.8%
영등포로 5
 
1.8%
6 4
 
1.5%
도림로 4
 
1.5%
Other values (110) 134
49.1%
2024-04-30T03:55:00.786559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
227
 
15.3%
영 79
 
5.3%
포 68
 
4.6%
등 68
 
4.6%
동 48
 
3.2%
서 47
 
3.2%
울 47
 
3.2%
시 47
 
3.2%
( 46
 
3.1%
별 46
 
3.1%
Other values (103) 757
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 935
63.2%
Space Separator 227
 
15.3%
Decimal Number 179
 
12.1%
Open Punctuation 46
 
3.1%
Close Punctuation 46
 
3.1%
Other Punctuation 39
 
2.6%
Math Symbol 5
 
0.3%
Dash Punctuation 2
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 79
 
8.4%
포 68
 
7.3%
등 68
 
7.3%
동 48
 
5.1%
서 47
 
5.0%
울 47
 
5.0%
시 47
 
5.0%
별 46
 
4.9%
특 46
 
4.9%
로 46
 
4.9%
Other values (86) 393
42.0%
Decimal Number
ValueCountFrequency (%)
1 28
15.6%
2 25
14.0%
3 24
13.4%
4 20
11.2%
5 19
10.6%
6 19
10.6%
8 16
8.9%
7 13
7.3%
9 10
 
5.6%
0 5
 
2.8%
Space Separator
ValueCountFrequency (%)
227
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Other Punctuation
ValueCountFrequency (%)
, 39
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 935
63.2%
Common 544
36.8%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 79
 
8.4%
포 68
 
7.3%
등 68
 
7.3%
동 48
 
5.1%
서 47
 
5.0%
울 47
 
5.0%
시 47
 
5.0%
별 46
 
4.9%
특 46
 
4.9%
로 46
 
4.9%
Other values (86) 393
42.0%
Common
ValueCountFrequency (%)
227
41.7%
( 46
 
8.5%
) 46
 
8.5%
, 39
 
7.2%
1 28
 
5.1%
2 25
 
4.6%
3 24
 
4.4%
4 20
 
3.7%
5 19
 
3.5%
6 19
 
3.5%
Other values (6) 51
 
9.4%
Latin
ValueCountFrequency (%)
b 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 935
63.2%
ASCII 545
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
227
41.7%
( 46
 
8.4%
) 46
 
8.4%
, 39
 
7.2%
1 28
 
5.1%
2 25
 
4.6%
3 24
 
4.4%
4 20
 
3.7%
5 19
 
3.5%
6 19
 
3.5%
Other values (7) 52
 
9.5%
Hangul
ValueCountFrequency (%)
영 79
 
8.4%
포 68
 
7.3%
등 68
 
7.3%
동 48
 
5.1%
서 47
 
5.0%
울 47
 
5.0%
시 47
 
5.0%
별 46
 
4.9%
특 46
 
4.9%
로 46
 
4.9%
Other values (86) 393
42.0%

도로명우편번호
Text

MISSING 

Distinct34
Distinct (%)75.6%
Missing33
Missing (%)42.3%
Memory size756.0 B
2024-04-30T03:55:00.945922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0666667
Min length5

Characters and Unicode

Total characters228
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

Unique28 ?
Unique (%)62.2%

Sample

1st row07354
2nd row07441
3rd row07345
4th row07317
5th row07417
ValueCountFrequency (%)
07301 4
 
8.9%
07417 4
 
8.9%
07327 3
 
6.7%
07317 2
 
4.4%
07272 2
 
4.4%
07229 2
 
4.4%
07353 1
 
2.2%
07281 1
 
2.2%
07360 1
 
2.2%
07328 1
 
2.2%
Other values (24) 24
53.3%
2024-04-30T03:55:01.246735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 57
25.0%
7 57
25.0%
2 30
13.2%
3 25
11.0%
1 16
 
7.0%
4 13
 
5.7%
5 8
 
3.5%
8 8
 
3.5%
6 7
 
3.1%
9 6
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 227
99.6%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 57
25.1%
7 57
25.1%
2 30
13.2%
3 25
11.0%
1 16
 
7.0%
4 13
 
5.7%
5 8
 
3.5%
8 8
 
3.5%
6 7
 
3.1%
9 6
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 228
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 57
25.0%
7 57
25.0%
2 30
13.2%
3 25
11.0%
1 16
 
7.0%
4 13
 
5.7%
5 8
 
3.5%
8 8
 
3.5%
6 7
 
3.1%
9 6
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 228
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 57
25.0%
7 57
25.0%
2 30
13.2%
3 25
11.0%
1 16
 
7.0%
4 13
 
5.7%
5 8
 
3.5%
8 8
 
3.5%
6 7
 
3.1%
9 6
 
2.6%

사업장명
Text

Distinct57
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Memory size756.0 B
2024-04-30T03:55:01.467076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length7.4487179
Min length3

Characters and Unicode

Total characters581
Distinct characters114
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

Unique44 ?
Unique (%)56.4%

Sample

1st row성애의료재단 성애병원
2nd row한림대학교 강남성심병원
3rd row가톨릭대학교 여의도성모병원
4th row서울대윤병원
5th row서울대윤병원
ValueCountFrequency (%)
참사랑요양병원 5
 
5.4%
영등포병원 5
 
5.4%
서울대윤병원 4
 
4.3%
은송병원 3
 
3.3%
의료법인 3
 
3.3%
김안과병원 3
 
3.3%
서울성모병원 2
 
2.2%
한림대학교 2
 
2.2%
덕수의료재단 2
 
2.2%
은송요양병원 2
 
2.2%
Other values (54) 61
66.3%
2024-04-30T03:55:01.791747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
병 78
 
13.4%
원 78
 
13.4%
양 23
 
4.0%
요 22
 
3.8%
울 18
 
3.1%
서 17
 
2.9%
성 16
 
2.8%
14
 
2.4%
대 12
 
2.1%
한 12
 
2.1%
Other values (104) 291
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 567
97.6%
Space Separator 14
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
병 78
 
13.8%
원 78
 
13.8%
양 23
 
4.1%
요 22
 
3.9%
울 18
 
3.2%
서 17
 
3.0%
성 16
 
2.8%
대 12
 
2.1%
한 12
 
2.1%
의 11
 
1.9%
Other values (103) 280
49.4%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 567
97.6%
Common 14
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
병 78
 
13.8%
원 78
 
13.8%
양 23
 
4.1%
요 22
 
3.9%
울 18
 
3.2%
서 17
 
3.0%
성 16
 
2.8%
대 12
 
2.1%
한 12
 
2.1%
의 11
 
1.9%
Other values (103) 280
49.4%
Common
ValueCountFrequency (%)
14
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 567
97.6%
ASCII 14
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
병 78
 
13.8%
원 78
 
13.8%
양 23
 
4.1%
요 22
 
3.9%
울 18
 
3.2%
서 17
 
3.0%
성 16
 
2.8%
대 12
 
2.1%
한 12
 
2.1%
의 11
 
1.9%
Other values (103) 280
49.4%
ASCII
ValueCountFrequency (%)
14
100.0%

최종수정일자
Date

Distinct56
Distinct (%)71.8%
Missing0
Missing (%)0.0%
Memory size756.0 B
Minimum2008-12-18 18:44:41
Maximum2024-04-23 17:56:51
2024-04-30T03:55:01.906773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:55:02.009512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size756.0 B
I
42 
U
36 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 42
53.8%
U 36
46.2%

Length

2024-04-30T03:55:02.101687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:02.175171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 42
53.8%
u 36
46.2%

데이터갱신일자
Date

Distinct34
Distinct (%)43.6%
Missing0
Missing (%)0.0%
Memory size756.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-30T03:55:02.265568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:55:02.542696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

업태구분명
Categorical

Distinct6
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size756.0 B
병원
39 
요양병원(일반요양병원)
21 
종합병원
8 
한방병원
6 
치과병원
 
3

Length

Max length12
Median length8
Mean length5.1538462
Min length2

Unique

Unique1 ?
Unique (%)1.3%

Sample

1st row종합병원
2nd row종합병원
3rd row종합병원
4th row병원
5th row병원

Common Values

ValueCountFrequency (%)
병원 39
50.0%
요양병원(일반요양병원) 21
26.9%
종합병원 8
 
10.3%
한방병원 6
 
7.7%
치과병원 3
 
3.8%
정신병원 1
 
1.3%

Length

2024-04-30T03:55:02.655246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:02.760017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 39
50.0%
요양병원(일반요양병원 21
26.9%
종합병원 8
 
10.3%
한방병원 6
 
7.7%
치과병원 3
 
3.8%
정신병원 1
 
1.3%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)88.9%
Missing33
Missing (%)42.3%
Infinite0
Infinite (%)0.0%
Mean191670.17
Minimum190028.92
Maximum194324.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-04-30T03:55:02.870099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190028.92
5-th percentile190193.09
Q1190918.98
median191506.15
Q3192452.6
95-th percentile193321.73
Maximum194324.4
Range4295.4804
Interquartile range (IQR)1533.6215

Descriptive statistics

Standard deviation1025.0462
Coefficient of variation (CV)0.0053479695
Kurtosis-0.28398299
Mean191670.17
Median Absolute Deviation (MAD)587.16824
Skewness0.59918984
Sum8625157.6
Variance1050719.7
MonotonicityNot monotonic
2024-04-30T03:55:02.987116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
191506.148858786 3
 
3.8%
190918.980623705 2
 
2.6%
193253.666517882 2
 
2.6%
191256.017169752 2
 
2.6%
192673.697582258 1
 
1.3%
191580.646388785 1
 
1.3%
192032.408943076 1
 
1.3%
190503.823501659 1
 
1.3%
190282.785893083 1
 
1.3%
193034.345962851 1
 
1.3%
Other values (30) 30
38.5%
(Missing) 33
42.3%
ValueCountFrequency (%)
190028.918503393 1
1.3%
190094.718810574 1
1.3%
190170.669260909 1
1.3%
190282.785893083 1
1.3%
190503.823501659 1
1.3%
190648.410812888 1
1.3%
190722.223012136 1
1.3%
190743.640805011 1
1.3%
190859.233603098 1
1.3%
190901.168361557 1
1.3%
ValueCountFrequency (%)
194324.398950764 1
1.3%
193474.240829093 1
1.3%
193338.741394754 1
1.3%
193253.666517882 2
2.6%
193103.15995228 1
1.3%
193034.345962851 1
1.3%
192946.280189392 1
1.3%
192857.928262332 1
1.3%
192686.277024382 1
1.3%
192673.697582258 1
1.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)88.9%
Missing33
Missing (%)42.3%
Infinite0
Infinite (%)0.0%
Mean445885.51
Minimum443157.39
Maximum448737.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-04-30T03:55:03.084490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum443157.39
5-th percentile443460.29
Q1445046.91
median446295.82
Q3446701.35
95-th percentile447320.53
Maximum448737.35
Range5579.9635
Interquartile range (IQR)1654.4464

Descriptive statistics

Standard deviation1332.0888
Coefficient of variation (CV)0.0029875132
Kurtosis-0.21758007
Mean445885.51
Median Absolute Deviation (MAD)609.87091
Skewness-0.50982163
Sum20064848
Variance1774460.6
MonotonicityNot monotonic
2024-04-30T03:55:03.183245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
446609.211364301 3
 
3.8%
443464.033607263 2
 
2.6%
446701.353544281 2
 
2.6%
446425.984842846 2
 
2.6%
445804.1857042 1
 
1.3%
446320.718339983 1
 
1.3%
445046.907137045 1
 
1.3%
445613.03148142 1
 
1.3%
446694.25657399 1
 
1.3%
444796.372057832 1
 
1.3%
Other values (30) 30
38.5%
(Missing) 33
42.3%
ValueCountFrequency (%)
443157.388663332 1
1.3%
443446.910983342 1
1.3%
443459.357676774 1
1.3%
443464.033607263 2
2.6%
443528.607969174 1
1.3%
444236.200769671 1
1.3%
444340.940285174 1
1.3%
444497.899912706 1
1.3%
444779.094253558 1
1.3%
444796.372057832 1
1.3%
ValueCountFrequency (%)
448737.352190615 1
1.3%
448249.539985718 1
1.3%
447346.655796394 1
1.3%
447216.005565246 1
1.3%
447181.323127997 1
1.3%
447094.351078396 1
1.3%
446996.629366296 1
1.3%
446856.812051461 1
1.3%
446812.951473248 1
1.3%
446775.416951967 1
1.3%

의료기관종별명
Categorical

Distinct6
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size756.0 B
병원
31 
<NA>
28 
요양병원(일반요양병원)
13 
치과병원
 
3
한방병원
 
2

Length

Max length12
Median length4
Mean length4.5384615
Min length2

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
병원 31
39.7%
<NA> 28
35.9%
요양병원(일반요양병원) 13
16.7%
치과병원 3
 
3.8%
한방병원 2
 
2.6%
종합병원 1
 
1.3%

Length

2024-04-30T03:55:03.291126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:03.399984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 31
39.7%
na 28
35.9%
요양병원(일반요양병원 13
16.7%
치과병원 3
 
3.8%
한방병원 2
 
2.6%
종합병원 1
 
1.3%

의료인수
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)44.0%
Missing28
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean24.62
Minimum0
Maximum745
Zeros23
Zeros (%)29.5%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-04-30T03:55:03.515094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q315.75
95-th percentile38.55
Maximum745
Range745
Interquartile range (IQR)15.75

Descriptive statistics

Standard deviation106.00595
Coefficient of variation (CV)4.3056843
Kurtosis46.029574
Mean24.62
Median Absolute Deviation (MAD)1
Skewness6.685571
Sum1231
Variance11237.261
MonotonicityNot monotonic
2024-04-30T03:55:03.616450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 23
29.5%
1 4
 
5.1%
18 2
 
2.6%
7 2
 
2.6%
17 2
 
2.6%
33 1
 
1.3%
38 1
 
1.3%
24 1
 
1.3%
11 1
 
1.3%
16 1
 
1.3%
Other values (12) 12
15.4%
(Missing) 28
35.9%
ValueCountFrequency (%)
0 23
29.5%
1 4
 
5.1%
2 1
 
1.3%
3 1
 
1.3%
4 1
 
1.3%
5 1
 
1.3%
6 1
 
1.3%
7 2
 
2.6%
11 1
 
1.3%
12 1
 
1.3%
ValueCountFrequency (%)
745 1
1.3%
132 1
1.3%
39 1
1.3%
38 1
1.3%
33 1
1.3%
31 1
1.3%
27 1
1.3%
24 1
1.3%
18 2
2.6%
17 2
2.6%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)36.0%
Missing28
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean12.84
Minimum0
Maximum115
Zeros29
Zeros (%)37.2%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-04-30T03:55:03.722847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q319.5
95-th percentile37.1
Maximum115
Range115
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation23.566112
Coefficient of variation (CV)1.835367
Kurtosis10.297873
Mean12.84
Median Absolute Deviation (MAD)0
Skewness2.9822984
Sum642
Variance555.36163
MonotonicityNot monotonic
2024-04-30T03:55:03.835456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 29
37.2%
20 3
 
3.8%
12 2
 
2.6%
34 2
 
2.6%
115 1
 
1.3%
29 1
 
1.3%
11 1
 
1.3%
26 1
 
1.3%
33 1
 
1.3%
104 1
 
1.3%
Other values (8) 8
 
10.3%
(Missing) 28
35.9%
ValueCountFrequency (%)
0 29
37.2%
6 1
 
1.3%
7 1
 
1.3%
11 1
 
1.3%
12 2
 
2.6%
15 1
 
1.3%
17 1
 
1.3%
18 1
 
1.3%
20 3
 
3.8%
26 1
 
1.3%
ValueCountFrequency (%)
115 1
 
1.3%
104 1
 
1.3%
38 1
 
1.3%
36 1
 
1.3%
35 1
 
1.3%
34 2
2.6%
33 1
 
1.3%
29 1
 
1.3%
26 1
 
1.3%
20 3
3.8%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)42.0%
Missing28
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean48.4
Minimum0
Maximum503
Zeros29
Zeros (%)37.2%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-04-30T03:55:03.951074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q374.25
95-th percentile181.9
Maximum503
Range503
Interquartile range (IQR)74.25

Descriptive statistics

Standard deviation86.919386
Coefficient of variation (CV)1.7958551
Kurtosis14.6805
Mean48.4
Median Absolute Deviation (MAD)0
Skewness3.2829882
Sum2420
Variance7554.9796
MonotonicityNot monotonic
2024-04-30T03:55:04.058541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 29
37.2%
115 2
 
2.6%
60 1
 
1.3%
57 1
 
1.3%
200 1
 
1.3%
31 1
 
1.3%
106 1
 
1.3%
66 1
 
1.3%
190 1
 
1.3%
30 1
 
1.3%
Other values (11) 11
 
14.1%
(Missing) 28
35.9%
ValueCountFrequency (%)
0 29
37.2%
30 1
 
1.3%
31 1
 
1.3%
34 1
 
1.3%
40 1
 
1.3%
57 1
 
1.3%
60 1
 
1.3%
61 1
 
1.3%
66 1
 
1.3%
77 1
 
1.3%
ValueCountFrequency (%)
503 1
1.3%
200 1
1.3%
190 1
1.3%
172 1
1.3%
143 1
1.3%
130 1
1.3%
115 2
2.6%
106 1
1.3%
101 1
1.3%
100 1
1.3%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)50.0%
Missing28
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean2169.6454
Minimum0
Maximum57492.81
Zeros26
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-04-30T03:55:04.153338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31554.4875
95-th percentile3967.879
Maximum57492.81
Range57492.81
Interquartile range (IQR)1554.4875

Descriptive statistics

Standard deviation8247.6111
Coefficient of variation (CV)3.8013636
Kurtosis43.586043
Mean2169.6454
Median Absolute Deviation (MAD)0
Skewness6.4570501
Sum108482.27
Variance68023089
MonotonicityNot monotonic
2024-04-30T03:55:04.241505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.0 26
33.3%
2990.3 1
 
1.3%
472.12 1
 
1.3%
1629.05 1
 
1.3%
847.7 1
 
1.3%
1597.0 1
 
1.3%
2219.26 1
 
1.3%
3717.2 1
 
1.3%
596.81 1
 
1.3%
1365.46 1
 
1.3%
Other values (15) 15
19.2%
(Missing) 28
35.9%
ValueCountFrequency (%)
0.0 26
33.3%
258.34 1
 
1.3%
472.12 1
 
1.3%
475.23 1
 
1.3%
596.81 1
 
1.3%
847.7 1
 
1.3%
1027.97 1
 
1.3%
1057.08 1
 
1.3%
1363.14 1
 
1.3%
1365.46 1
 
1.3%
ValueCountFrequency (%)
57492.81 1
1.3%
13255.04 1
1.3%
4172.98 1
1.3%
3717.2 1
1.3%
2990.3 1
1.3%
2961.66 1
1.3%
2423.19 1
1.3%
2219.26 1
1.3%
2008.68 1
1.3%
1999.51 1
1.3%

진료과목내용
Text

MISSING 

Distinct25
Distinct (%)50.0%
Missing28
Missing (%)35.9%
Memory size756.0 B
2024-04-30T03:55:04.400393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length3
Mean length16.44
Min length3

Characters and Unicode

Total characters822
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

Unique24 ?
Unique (%)48.0%

Sample

1st row104 105 106 101 111 120
2nd row101
3rd row101
4th row101
5th row101 102 120 116 119
ValueCountFrequency (%)
101 46
21.1%
120 12
 
5.5%
105 12
 
5.5%
116 11
 
5.0%
104 9
 
4.1%
106 9
 
4.1%
122 9
 
4.1%
109 7
 
3.2%
301 7
 
3.2%
114 6
 
2.8%
Other values (33) 90
41.3%
2024-04-30T03:55:04.654086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 274
33.3%
168
20.4%
0 160
19.5%
2 49
 
6.0%
3 48
 
5.8%
4 41
 
5.0%
6 26
 
3.2%
5 25
 
3.0%
9 12
 
1.5%
8 11
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 654
79.6%
Space Separator 168
 
20.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 274
41.9%
0 160
24.5%
2 49
 
7.5%
3 48
 
7.3%
4 41
 
6.3%
6 26
 
4.0%
5 25
 
3.8%
9 12
 
1.8%
8 11
 
1.7%
7 8
 
1.2%
Space Separator
ValueCountFrequency (%)
168
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 822
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 274
33.3%
168
20.4%
0 160
19.5%
2 49
 
6.0%
3 48
 
5.8%
4 41
 
5.0%
6 26
 
3.2%
5 25
 
3.0%
9 12
 
1.5%
8 11
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 822
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 274
33.3%
168
20.4%
0 160
19.5%
2 49
 
6.0%
3 48
 
5.8%
4 41
 
5.0%
6 26
 
3.2%
5 25
 
3.0%
9 12
 
1.5%
8 11
 
1.3%

진료과목내용명
Categorical

Distinct23
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Memory size756.0 B
<NA>
28 
내과
26 
내과, 정형외과, 신경외과, 마취통증의학과, 영상의학과
 
2
내과, 재활의학과, 가정의학과
 
2
내과, 신경과, 영상의학과, 진단검사의학과, 재활의학과
 
2
Other values (18)
18 

Length

Max length160
Median length118
Mean length17.384615
Min length2

Unique

Unique18 ?
Unique (%)23.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row내과, 외과, 정형외과, 신경외과, 소아청소년과, 재활의학과
5th row내과

Common Values

ValueCountFrequency (%)
<NA> 28
35.9%
내과 26
33.3%
내과, 정형외과, 신경외과, 마취통증의학과, 영상의학과 2
 
2.6%
내과, 재활의학과, 가정의학과 2
 
2.6%
내과, 신경과, 영상의학과, 진단검사의학과, 재활의학과 2
 
2.6%
치과 1
 
1.3%
내과, 외과, 정형외과, 신경외과, 마취통증의학과, 영상의학과, 가정의학과 1
 
1.3%
내과, 신경과, 정신건강의학과, 외과, 정형외과, 신경외과, 흉부외과, 성형외과, 마취통증의학과, 산부인과, 소아청소년과, 안과, 이비인후과, 피부과, 비뇨의학과, 영상의학과, 방사선종양학과, 병리과, 진단검사의학과, 재활의학과, 가정의학과, 핵의학과, 직업환경의학과, 응급의학과, 치과 1
 
1.3%
내과, 마취통증의학과, 안과, 영상의학과, 진단검사의학과 1
 
1.3%
구강악안면외과, 치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강내과, 영상치의학과, 구강병리과, 예방치과 1
 
1.3%
Other values (13) 13
16.7%

Length

2024-04-30T03:55:04.773525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
내과 46
18.7%
na 28
 
11.4%
정형외과 12
 
4.9%
재활의학과 12
 
4.9%
영상의학과 11
 
4.5%
신경외과 9
 
3.7%
가정의학과 9
 
3.7%
외과 9
 
3.7%
마취통증의학과 7
 
2.8%
한방내과 7
 
2.8%
Other values (34) 96
39.0%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing78
Missing (%)100.0%
Memory size834.0 B

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing78
Missing (%)100.0%
Memory size834.0 B

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing78
Missing (%)100.0%
Memory size834.0 B

구급차특수
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size756.0 B
0
50 
<NA>
28 

Length

Max length4
Median length1
Mean length2.0769231
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
64.1%
<NA> 28
35.9%

Length

2024-04-30T03:55:04.892285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:04.978040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
64.1%
na 28
35.9%

구급차일반
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size756.0 B
0
50 
<NA>
28 

Length

Max length4
Median length1
Mean length2.0769231
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
64.1%
<NA> 28
35.9%

Length

2024-04-30T03:55:05.071917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:05.151771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
64.1%
na 28
35.9%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing78
Missing (%)100.0%
Memory size834.0 B

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing78
Missing (%)100.0%
Memory size834.0 B

허가병상수
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size756.0 B
0
50 
<NA>
28 

Length

Max length4
Median length1
Mean length2.0769231
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
64.1%
<NA> 28
35.9%

Length

2024-04-30T03:55:05.269639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:05.376883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
64.1%
na 28
35.9%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing78
Missing (%)100.0%
Memory size834.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03180000PHMA2198231800340212000011982-09-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-840-711420380.0<NA><NA>서울특별시 영등포구 여의대방로53길 22 (신길동, 성애병원)07354성애의료재단 성애병원2023-08-17 13:48:14U2022-12-07 23:09:00.0종합병원193103.159952445540.31792<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13180000PHMA2198531800340212000011980-01-11<NA>1영업/정상13영업중<NA><NA><NA><NA>02-829-511458385.6<NA><NA>서울특별시 영등포구 신길로 1 (대림동, 강남성심병원)07441한림대학교 강남성심병원2024-03-19 17:29:07U2023-12-02 22:01:00.0종합병원191856.261805443459.357677<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23180000PHMA2198631800340212000011986-08-20<NA>1영업/정상13영업중<NA><NA><NA><NA>-1661-757552783.72<NA><NA>서울특별시 영등포구 63로 10, 여의도성모병원 (여의도동)07345가톨릭대학교 여의도성모병원2023-11-29 14:35:34U2022-11-02 00:01:00.0종합병원194324.398951446208.11417<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33180000PHMA21987318003402120000119870123<NA>3폐업3폐업20170930<NA><NA><NA>02-841-0101<NA>150300서울특별시 영등포구 영등포본동 103번지 21호서울특별시 영등포구 영등포로 358 (신길동)07317서울대윤병원2018-06-07 11:09:43I2018-08-31 23:59:59.0병원192686.277024445794.503711병원7341302423.19104 105 106 101 111 120내과, 외과, 정형외과, 신경외과, 소아청소년과, 재활의학과<NA><NA><NA>00<NA><NA>0<NA>
43180000PHMA21989318003402120000119891130<NA>3폐업3폐업<NA><NA><NA><NA>02-840-0101<NA><NA>서울특별시 영등포구 신길동 103-21<NA><NA>서울대윤병원2008-12-18 18:44:41I2018-08-31 23:59:59.0병원<NA><NA>병원0000.0101내과<NA><NA><NA>00<NA><NA>0<NA>
53180000PHMA21992318003402120000119920114<NA>3폐업3폐업20080923<NA><NA><NA>02-2635-3883<NA><NA>서울특별시 영등포구 양평동1가 120-32<NA><NA>지성병원2009-04-20 19:41:30I2018-08-31 23:59:59.0병원<NA><NA>병원1000.0101내과<NA><NA><NA>00<NA><NA>0<NA>
63180000PHMA2199231800340212000021984-08-07<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1899-14758726.14<NA><NA>서울특별시 영등포구 도림로 156, 명지성모병원 (대림동)07417명지성모병원2023-08-01 14:21:12U2022-12-08 00:03:00.0종합병원191020.895439443528.607969<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73180000PHMA2199331800340212000011982-04-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2639-51144322.22<NA><NA>서울특별시 영등포구 버드나루로7길 12 (영등포동7가, 한강성심병원)07247한림대학교 한강성심병원2023-12-27 09:16:19U2022-11-01 22:09:00.0종합병원191948.638351446775.416952<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83180000PHMA21993318003402120000219840302<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2678-0001<NA><NA><NA>서울특별시 영등포구 영등포로36길 13 (영등포동4가, 충무병원)07301씨엠병원2022-08-05 09:33:54U2021-12-08 00:07:00.0종합병원191458.813598446295.815426<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93180000PHMA21994318003402120000119940413<NA>3폐업3폐업<NA><NA><NA><NA>02-2639-7777<NA><NA>서울특별시 영등포구 영등포동4가 156-0<NA><NA>김안과병원2008-12-18 18:44:41I2018-08-31 23:59:59.0병원<NA><NA>병원0000.0101내과<NA><NA><NA>00<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
683180000PHMA22015318003402120000320151127<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1522-0075<NA><NA><NA>서울특별시 영등포구 영중로 59 (영등포동6가)07251새길병원2022-06-29 18:10:32U2021-12-07 00:01:00.0병원191506.148859446609.211364<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
693180000PHMA22015318003402120000420151214<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2098-8000<NA><NA>서울특별시 영등포구 신길동 505번지 2층~7층서울특별시 영등포구 여의대방로 145, 2~7층 (신길동, 세인트빌딩)07392서울바른병원2022-05-30 15:01:56U2021-12-06 00:01:00.0병원192857.928262444236.20077<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
703180000PHMA22016318003402120000120160922<NA>3폐업3폐업20210529<NA><NA><NA>02-6277-0888<NA><NA>서울특별시 영등포구 여의도동 35번지 3층서울특별시 영등포구 국제금융로6길 26, 3층 (여의도동, 한국노총)07328유디치과병원2021-05-27 16:21:00U2021-05-29 02:40:00.0치과병원193474.240829446636.663615치과병원100472.12411 407 406 404 403치과보철과, 치과교정과, 치주과, 치과보존과, 예방치과<NA><NA><NA>00<NA><NA>0<NA>
713180000PHMA22017318003402120000120170908<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1899-1177<NA><NA>서울특별시 영등포구 신길동 65번지 33호서울특별시 영등포구 영등포로 386 (신길동, 동인빌딩)07353어울림병원2020-12-21 09:45:01U2020-12-23 02:40:00.0병원192946.280189445685.944519병원3815572990.3116 109 106 105 101내과, 정형외과, 신경외과, 마취통증의학과, 영상의학과<NA><NA><NA>00<NA><NA>0<NA>
723180000PHMA2201831800340212000012018-07-04<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6959-41148690.51<NA><NA>서울특별시 영등포구 경인로 767 (문래동3가)07299서울센트럴요양병원2024-04-23 17:56:51U2023-12-03 22:05:00.0요양병원(일반요양병원)190968.870785445750.399306<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
733180000PHMA22019318003402120000120190726<NA>1영업/정상13영업중<NA><NA><NA><NA>02-831-1075<NA><NA><NA>서울특별시 영등포구 영등포로 358, 대윤메디컬센터 지하1층, 2-5층 (신길동)07317대윤한방병원2022-11-25 15:21:29U2021-10-31 22:07:00.0한방병원192673.697582445804.185704<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
743180000PHMA2202031800340212000012020-12-22<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6951-1192<NA><NA>서울특별시 영등포구 문래동6가 2-1서울특별시 영등포구 선유로 51, 파인그라드빌딩 b1~8층 (문래동6가)07281서울삼성요양병원2023-05-01 10:18:58U2022-12-05 00:03:00.0요양병원(일반요양병원)190094.718811446267.346676<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
753180000PHMA2202131800340212000012021-09-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-832-20802065.0<NA><NA>서울특별시 영등포구 도림로 144, 88월드타워 6, 7층 (대림동)07417영등포봄한방병원2023-11-10 09:04:34U2022-10-31 23:02:00.0한방병원190918.980624443464.033607<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
763180000PHMA2202131800340212000032021-12-28<NA>1영업/정상13영업중<NA><NA><NA><NA>1544-11803992.91<NA>서울특별시 영등포구 영등포동4가 425-2 서울영등포동4가우체국서울특별시 영등포구 경인로 841, 서울영등포동4가우체국 (영등포동4가)07305신세계서울병원2024-01-03 15:48:01U2023-12-01 00:05:00.0병원191619.249847446038.543733<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
773180000PHMA2202331800340212000012023-10-04<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2679-10791654.18<NA>서울특별시 영등포구 영등포동3가 7 영등포 점프밀라노서울특별시 영등포구 영중로 28, 영등포 점프밀라노 8층 (영등포동3가)07302경희우리한방병원2024-04-19 13:51:54U2023-12-03 22:01:00.0한방병원191580.646389446320.71834<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>