Overview

Dataset statistics

Number of variables7
Number of observations51
Missing cells50
Missing cells (%)14.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory59.6 B

Variable types

Text5
Categorical1
Numeric1

Dataset

Description대전광역시 30병상 이상 규모 요양병원 현황에 대한 데이터로 의료기관명, 설립구분, 주소, 전화번호 등의 항목을 제공합니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15063278/fileData.do

Alerts

비고 has constant value ""Constant
비고 has 50 (98.0%) missing valuesMissing
의료기관명 has unique valuesUnique
전화번호 has unique valuesUnique
팩스번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:47:41.055830
Analysis finished2023-12-12 02:47:41.809196
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관명
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T11:47:42.311698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length12.666667
Min length6

Characters and Unicode

Total characters646
Distinct characters123
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

Unique51 ?
Unique (%)100.0%

Sample

1st row사회복지법인 금성복지재단 보광노인전문병원
2nd row의료법인 남영의료재단 남영노인전문병원
3rd row행복한시니어스요양병원
4th row대전광역시립제1노인전문병원
5th row의료법인비에스의료재단 브레인요양병원
ValueCountFrequency (%)
의료법인 11
 
13.6%
사회복지법인 1
 
1.2%
평화요양병원 1
 
1.2%
부모사랑요양병원 1
 
1.2%
가양요양병원 1
 
1.2%
원전의료재단 1
 
1.2%
의료법인나우리의료재단나우리요양병원 1
 
1.2%
큰우리요양병원 1
 
1.2%
푸른요양병원 1
 
1.2%
성심요양병원 1
 
1.2%
Other values (61) 61
75.3%
2023-12-12T11:47:42.812917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 53
 
8.2%
병 51
 
7.9%
양 47
 
7.3%
요 45
 
7.0%
의 37
 
5.7%
료 36
 
5.6%
31
 
4.8%
인 26
 
4.0%
전 21
 
3.3%
재 20
 
3.1%
Other values (113) 279
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 612
94.7%
Space Separator 31
 
4.8%
Decimal Number 2
 
0.3%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 53
 
8.7%
병 51
 
8.3%
양 47
 
7.7%
요 45
 
7.4%
의 37
 
6.0%
료 36
 
5.9%
인 26
 
4.2%
전 21
 
3.4%
재 20
 
3.3%
법 19
 
3.1%
Other values (109) 257
42.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 612
94.7%
Common 34
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 53
 
8.7%
병 51
 
8.3%
양 47
 
7.7%
요 45
 
7.4%
의 37
 
6.0%
료 36
 
5.9%
인 26
 
4.2%
전 21
 
3.4%
재 20
 
3.3%
법 19
 
3.1%
Other values (109) 257
42.0%
Common
ValueCountFrequency (%)
31
91.2%
2 1
 
2.9%
1 1
 
2.9%
) 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 612
94.7%
ASCII 34
 
5.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 53
 
8.7%
병 51
 
8.3%
양 47
 
7.7%
요 45
 
7.4%
의 37
 
6.0%
료 36
 
5.9%
인 26
 
4.2%
전 21
 
3.4%
재 20
 
3.3%
법 19
 
3.1%
Other values (109) 257
42.0%
ASCII
ValueCountFrequency (%)
31
91.2%
2 1
 
2.9%
1 1
 
2.9%
) 1
 
2.9%

설립구분
Categorical

Distinct5
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
개인
27 
의료법인
18 
사회복지법인
 
2
공립(시도립)
 
2
의료소비자생활협동조합
 
2

Length

Max length11
Median length2
Mean length3.4117647
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사회복지법인
2nd row의료법인
3rd row개인
4th row공립(시도립)
5th row의료법인

Common Values

ValueCountFrequency (%)
개인 27
52.9%
의료법인 18
35.3%
사회복지법인 2
 
3.9%
공립(시도립) 2
 
3.9%
의료소비자생활협동조합 2
 
3.9%

Length

2023-12-12T11:47:42.997959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:47:43.132731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 27
52.9%
의료법인 18
35.3%
사회복지법인 2
 
3.9%
공립(시도립 2
 
3.9%
의료소비자생활협동조합 2
 
3.9%

주소
Text

Distinct50
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T11:47:43.472692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length29
Mean length23.764706
Min length19

Characters and Unicode

Total characters1212
Distinct characters98
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)96.1%

Sample

1st row대전광역시 동구 산내로560번길 18-11 (상소동)
2nd row대전광역시 동구 태전로 39 (정동)
3rd row대전광역시 중구 보문산로 359 (문화동)
4th row대전광역시 유성구 유성대로 1422 (방현동)
5th row대전광역시 유성구 도안대로567번길 26(봉명동)
ValueCountFrequency (%)
대전광역시 51
 
20.2%
서구 12
 
4.8%
동구 12
 
4.8%
중구 12
 
4.8%
유성구 11
 
4.4%
봉명동 4
 
1.6%
대덕구 4
 
1.6%
대종로 3
 
1.2%
대흥동 3
 
1.2%
우암로 3
 
1.2%
Other values (124) 137
54.4%
2023-12-12T11:47:43.969783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
201
 
16.6%
대 78
 
6.4%
동 70
 
5.8%
전 53
 
4.4%
( 51
 
4.2%
광 51
 
4.2%
역 51
 
4.2%
시 51
 
4.2%
) 51
 
4.2%
구 51
 
4.2%
Other values (88) 504
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 720
59.4%
Space Separator 201
 
16.6%
Decimal Number 182
 
15.0%
Open Punctuation 51
 
4.2%
Close Punctuation 51
 
4.2%
Dash Punctuation 7
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 78
 
10.8%
동 70
 
9.7%
전 53
 
7.4%
광 51
 
7.1%
역 51
 
7.1%
시 51
 
7.1%
구 51
 
7.1%
로 51
 
7.1%
서 19
 
2.6%
중 18
 
2.5%
Other values (74) 227
31.5%
Decimal Number
ValueCountFrequency (%)
1 35
19.2%
4 26
14.3%
2 23
12.6%
3 17
9.3%
7 16
8.8%
9 16
8.8%
5 16
8.8%
6 14
 
7.7%
0 11
 
6.0%
8 8
 
4.4%
Space Separator
ValueCountFrequency (%)
201
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 720
59.4%
Common 492
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 78
 
10.8%
동 70
 
9.7%
전 53
 
7.4%
광 51
 
7.1%
역 51
 
7.1%
시 51
 
7.1%
구 51
 
7.1%
로 51
 
7.1%
서 19
 
2.6%
중 18
 
2.5%
Other values (74) 227
31.5%
Common
ValueCountFrequency (%)
201
40.9%
( 51
 
10.4%
) 51
 
10.4%
1 35
 
7.1%
4 26
 
5.3%
2 23
 
4.7%
3 17
 
3.5%
7 16
 
3.3%
9 16
 
3.3%
5 16
 
3.3%
Other values (4) 40
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 720
59.4%
ASCII 492
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
201
40.9%
( 51
 
10.4%
) 51
 
10.4%
1 35
 
7.1%
4 26
 
5.3%
2 23
 
4.7%
3 17
 
3.5%
7 16
 
3.3%
9 16
 
3.3%
5 16
 
3.3%
Other values (4) 40
 
8.1%
Hangul
ValueCountFrequency (%)
대 78
 
10.8%
동 70
 
9.7%
전 53
 
7.4%
광 51
 
7.1%
역 51
 
7.1%
시 51
 
7.1%
구 51
 
7.1%
로 51
 
7.1%
서 19
 
2.6%
중 18
 
2.5%
Other values (74) 227
31.5%

전화번호
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T11:47:44.208080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters612
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

Unique51 ?
Unique (%)100.0%

Sample

1st row042-274-6700
2nd row042-254-7582
3rd row042-253-5800
4th row042-280-5000
5th row042-365-0101
ValueCountFrequency (%)
042-274-6700 1
 
2.0%
042-272-9633 1
 
2.0%
042-483-9975 1
 
2.0%
042-522-1001 1
 
2.0%
042-546-8275 1
 
2.0%
042-634-7582 1
 
2.0%
042-631-0100 1
 
2.0%
042-471-0007 1
 
2.0%
042-250-9100 1
 
2.0%
042-274-9339 1
 
2.0%
Other values (41) 41
80.4%
2023-12-12T11:47:44.559505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 125
20.4%
2 106
17.3%
- 102
16.7%
4 67
10.9%
7 42
 
6.9%
5 40
 
6.5%
1 33
 
5.4%
9 30
 
4.9%
8 25
 
4.1%
6 21
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 510
83.3%
Dash Punctuation 102
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 125
24.5%
2 106
20.8%
4 67
13.1%
7 42
 
8.2%
5 40
 
7.8%
1 33
 
6.5%
9 30
 
5.9%
8 25
 
4.9%
6 21
 
4.1%
3 21
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 612
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 125
20.4%
2 106
17.3%
- 102
16.7%
4 67
10.9%
7 42
 
6.9%
5 40
 
6.5%
1 33
 
5.4%
9 30
 
4.9%
8 25
 
4.1%
6 21
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 612
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 125
20.4%
2 106
17.3%
- 102
16.7%
4 67
10.9%
7 42
 
6.9%
5 40
 
6.5%
1 33
 
5.4%
9 30
 
4.9%
8 25
 
4.1%
6 21
 
3.4%

팩스번호
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T11:47:44.782337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters714
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)100.0%

Sample

1st row 042-274-6679
2nd row 042-254-7599
3rd row 042-253-9501
4th row 042-280-5001
5th row 042-365-0104
ValueCountFrequency (%)
042-274-6679 1
 
2.0%
042-272-9633 1
 
2.0%
042-483-2229 1
 
2.0%
042-526-1100 1
 
2.0%
042-541-1472 1
 
2.0%
042-634-7580 1
 
2.0%
042-631-6100 1
 
2.0%
042-476-0007 1
 
2.0%
042-250-9125 1
 
2.0%
042-274-9229 1
 
2.0%
Other values (41) 41
80.4%
2023-12-12T11:47:45.103030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 107
15.0%
102
14.3%
- 102
14.3%
0 99
13.9%
4 77
10.8%
5 41
 
5.7%
1 36
 
5.0%
7 35
 
4.9%
3 31
 
4.3%
9 29
 
4.1%
Other values (2) 55
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 510
71.4%
Space Separator 102
 
14.3%
Dash Punctuation 102
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 107
21.0%
0 99
19.4%
4 77
15.1%
5 41
 
8.0%
1 36
 
7.1%
7 35
 
6.9%
3 31
 
6.1%
9 29
 
5.7%
8 29
 
5.7%
6 26
 
5.1%
Space Separator
ValueCountFrequency (%)
102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 714
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 107
15.0%
102
14.3%
- 102
14.3%
0 99
13.9%
4 77
10.8%
5 41
 
5.7%
1 36
 
5.0%
7 35
 
4.9%
3 31
 
4.3%
9 29
 
4.1%
Other values (2) 55
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 714
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 107
15.0%
102
14.3%
- 102
14.3%
0 99
13.9%
4 77
10.8%
5 41
 
5.7%
1 36
 
5.0%
7 35
 
4.9%
3 31
 
4.3%
9 29
 
4.1%
Other values (2) 55
7.7%

병상수
Real number (ℝ)

Distinct42
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean184.23529
Minimum61
Maximum430
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-12T11:47:45.273534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61
5-th percentile89.5
Q1138
median182
Q3205
95-th percentile287.5
Maximum430
Range369
Interquartile range (IQR)67

Descriptive statistics

Standard deviation66.168146
Coefficient of variation (CV)0.35915022
Kurtosis3.131969
Mean184.23529
Median Absolute Deviation (MAD)37
Skewness1.1687399
Sum9396
Variance4378.2235
MonotonicityNot monotonic
2023-12-12T11:47:45.430840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
177 2
 
3.9%
249 2
 
3.9%
199 2
 
3.9%
189 2
 
3.9%
182 2
 
3.9%
210 2
 
3.9%
196 2
 
3.9%
132 2
 
3.9%
134 2
 
3.9%
157 1
 
2.0%
Other values (32) 32
62.7%
ValueCountFrequency (%)
61 1
2.0%
70 1
2.0%
86 1
2.0%
93 1
2.0%
117 1
2.0%
121 1
2.0%
122 1
2.0%
130 1
2.0%
132 2
3.9%
134 2
3.9%
ValueCountFrequency (%)
430 1
2.0%
346 1
2.0%
299 1
2.0%
276 1
2.0%
267 1
2.0%
262 1
2.0%
249 2
3.9%
233 1
2.0%
222 1
2.0%
219 1
2.0%

비고
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing50
Missing (%)98.0%
Memory size540.0 B
2023-12-12T11:47:45.568014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters7
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row장애인의료재활
ValueCountFrequency (%)
장애인의료재활 1
100.0%
2023-12-12T11:47:45.798163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 1
14.3%
애 1
14.3%
인 1
14.3%
의 1
14.3%
료 1
14.3%
재 1
14.3%
활 1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 1
14.3%
애 1
14.3%
인 1
14.3%
의 1
14.3%
료 1
14.3%
재 1
14.3%
활 1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 1
14.3%
애 1
14.3%
인 1
14.3%
의 1
14.3%
료 1
14.3%
재 1
14.3%
활 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 1
14.3%
애 1
14.3%
인 1
14.3%
의 1
14.3%
료 1
14.3%
재 1
14.3%
활 1
14.3%

Interactions

2023-12-12T11:47:41.464878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:47:45.868159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관명설립구분주소전화번호팩스번호병상수
의료기관명1.0001.0001.0001.0001.0001.000
설립구분1.0001.0000.9801.0001.0000.000
주소1.0000.9801.0001.0001.0000.962
전화번호1.0001.0001.0001.0001.0001.000
팩스번호1.0001.0001.0001.0001.0001.000
병상수1.0000.0000.9621.0001.0001.000
2023-12-12T11:47:45.954722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
병상수설립구분
병상수1.0000.000
설립구분0.0001.000

Missing values

2023-12-12T11:47:41.610118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:47:41.745144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

의료기관명설립구분주소전화번호팩스번호병상수비고
0사회복지법인 금성복지재단 보광노인전문병원사회복지법인대전광역시 동구 산내로560번길 18-11 (상소동)042-274-6700042-274-6679157<NA>
1의료법인 남영의료재단 남영노인전문병원의료법인대전광역시 동구 태전로 39 (정동)042-254-7582042-254-7599189<NA>
2행복한시니어스요양병원개인대전광역시 중구 보문산로 359 (문화동)042-253-5800042-253-9501177<NA>
3대전광역시립제1노인전문병원공립(시도립)대전광역시 유성구 유성대로 1422 (방현동)042-280-5000042-280-5001200<NA>
4의료법인비에스의료재단 브레인요양병원의료법인대전광역시 유성구 도안대로567번길 26(봉명동)042-365-0101042-365-0104249<NA>
5세민요양병원개인대전광역시 서구 유등로 491 (용문동)042-537-7200042-538-9701199<NA>
6의료법인 산수의료재단 웰시티요양병원의료법인대전광역시 중구 대종로 400 (대흥동)042-256-1177042-256-6782346<NA>
7대전기독요양병원개인대전광역시 동구 계족로 189 (대동)042-670-1200042-670-1204170<NA>
8한남요양병원개인대전광역시 대덕구 한밭대로 1150 (중리동)042-624-1190042-628-7556155<NA>
9의료법인 세명의료재단 세명요양병원의료법인대전광역시 중구 대종로 599 (선화동)042-252-8275042-255-8575210<NA>
의료기관명설립구분주소전화번호팩스번호병상수비고
41보아스요양병원개인대전광역시 서구 도산로 224 (변동)042-537-2000042-537-2700185<NA>
42온누리좋은요양병원개인대전광역시 서구 동서대로 1147 (가장동)042-719-1119042-719-1118121<NA>
43대전웰니스요양병원개인대전광역시 대덕구 동서대로1777번길 2 (송촌동)042-712-8500042-712-8599430<NA>
44남대전요양병원개인대전광역시 동구 산서로1660번길 142 (대별동)042-273-0900042-273-0990196<NA>
45튼튼요양병원개인대전광역시 중구 목중로 9 (목동)042-259-9988042-224-0205177<NA>
46백세요양병원개인대전광역시 중구 대종로 437 (대흥동)042-226-0101042-253-1033210<NA>
47새봄요양병원개인대전광역시 동구 신기로 123-20 (가오동)042-283-2200042-283-2201198<NA>
48중구의료소비자생활협동조합 보문산생태요양병원의료소비자생활협동조합대전광역시 중구 보문산공원로 473 (대사동)042-222-5567042-222-556893<NA>
49중부요양병원개인대전광역시 중구 계백로 1546(유천동)042-582-0075042-582-7006199<NA>
50둔산엔젤요양병원개인대전광역시 서구 대덕대로 244(둔산동)042-710-6000042-710-605061<NA>