Overview

Dataset statistics

Number of variables5
Number of observations75
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory42.8 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description대구광역시 요양병원 현황입니다. - 현재 영업중인 요양병원은 75개소이며, 각 요양병원별 상호, 소재지, 연락처 등이 등재되어 있습니다.
Author대구광역시
URLhttps://www.data.go.kr/data/15106283/fileData.do

Alerts

구분 has constant value ""Constant
연번 has unique valuesUnique
의료기관명 has unique valuesUnique
전화번호 has unique valuesUnique
소 재 지 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:32:19.103431
Analysis finished2023-12-11 23:32:19.609470
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38
Minimum1
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-12T08:32:19.680473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.7
Q119.5
median38
Q356.5
95-th percentile71.3
Maximum75
Range74
Interquartile range (IQR)37

Descriptive statistics

Standard deviation21.794495
Coefficient of variation (CV)0.57353933
Kurtosis-1.2
Mean38
Median Absolute Deviation (MAD)19
Skewness0
Sum2850
Variance475
MonotonicityStrictly increasing
2023-12-12T08:32:19.812115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
49 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
51 1
 
1.3%
50 1
 
1.3%
48 1
 
1.3%
Other values (65) 65
86.7%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%
69 1
1.3%
68 1
1.3%
67 1
1.3%
66 1
1.3%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
병원
75 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
병원 75
100.0%

Length

2023-12-12T08:32:19.951005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:32:20.052475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 75
100.0%

의료기관명
Text

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-12T08:32:20.291236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length7.68
Min length5

Characters and Unicode

Total characters576
Distinct characters124
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

Unique75 ?
Unique (%)100.0%

Sample

1st row대한요양병원
2nd row노아요양병원
3rd row바른요양병원
4th row강남요양병원
5th row이시아요양병원
ValueCountFrequency (%)
대한요양병원 1
 
1.2%
제일효요양병원 1
 
1.2%
성서요양병원 1
 
1.2%
상인요양병원 1
 
1.2%
대구행복요양병원 1
 
1.2%
대구명성요양병원 1
 
1.2%
대구광역시시지노인전문병원 1
 
1.2%
의료법인정목의료재단한패밀리요양병원 1
 
1.2%
송효의료재단효산요양병원 1
 
1.2%
참좋은요양병원 1
 
1.2%
Other values (70) 70
87.5%
2023-12-12T08:32:20.994901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
병 75
 
13.0%
원 75
 
13.0%
요 74
 
12.8%
양 74
 
12.8%
대 17
 
3.0%
성 12
 
2.1%
의 10
 
1.7%
료 10
 
1.7%
구 10
 
1.7%
효 9
 
1.6%
Other values (114) 210
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 567
98.4%
Space Separator 5
 
0.9%
Decimal Number 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
병 75
 
13.2%
원 75
 
13.2%
요 74
 
13.1%
양 74
 
13.1%
대 17
 
3.0%
성 12
 
2.1%
의 10
 
1.8%
료 10
 
1.8%
구 10
 
1.8%
효 9
 
1.6%
Other values (110) 201
35.4%
Decimal Number
ValueCountFrequency (%)
0 2
50.0%
4 1
25.0%
1 1
25.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 567
98.4%
Common 9
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
병 75
 
13.2%
원 75
 
13.2%
요 74
 
13.1%
양 74
 
13.1%
대 17
 
3.0%
성 12
 
2.1%
의 10
 
1.8%
료 10
 
1.8%
구 10
 
1.8%
효 9
 
1.6%
Other values (110) 201
35.4%
Common
ValueCountFrequency (%)
5
55.6%
0 2
 
22.2%
4 1
 
11.1%
1 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 567
98.4%
ASCII 9
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
병 75
 
13.2%
원 75
 
13.2%
요 74
 
13.1%
양 74
 
13.1%
대 17
 
3.0%
성 12
 
2.1%
의 10
 
1.8%
료 10
 
1.8%
구 10
 
1.8%
효 9
 
1.6%
Other values (110) 201
35.4%
ASCII
ValueCountFrequency (%)
5
55.6%
0 2
 
22.2%
4 1
 
11.1%
1 1
 
11.1%

전화번호
Text

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-12T08:32:21.240824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.906667
Min length8

Characters and Unicode

Total characters893
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

Unique75 ?
Unique (%)100.0%

Sample

1st row053-218-8800
2nd row053-763-0200
3rd row053-721-7575
4th row053-983-4300
5th row053-983-7700
ValueCountFrequency (%)
053-218-8800 1
 
1.3%
053-326-0078 1
 
1.3%
053-282-5000 1
 
1.3%
053-720-5700 1
 
1.3%
053-260-7000 1
 
1.3%
053-819-2004 1
 
1.3%
053-763-2000 1
 
1.3%
053-766-2114 1
 
1.3%
053-710-9988 1
 
1.3%
053-784-2000 1
 
1.3%
Other values (65) 65
86.7%
2023-12-12T08:32:21.682189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 190
21.3%
- 147
16.5%
5 136
15.2%
3 108
12.1%
1 62
 
6.9%
2 60
 
6.7%
7 55
 
6.2%
6 49
 
5.5%
9 34
 
3.8%
8 33
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 746
83.5%
Dash Punctuation 147
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 190
25.5%
5 136
18.2%
3 108
14.5%
1 62
 
8.3%
2 60
 
8.0%
7 55
 
7.4%
6 49
 
6.6%
9 34
 
4.6%
8 33
 
4.4%
4 19
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 147
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 893
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 190
21.3%
- 147
16.5%
5 136
15.2%
3 108
12.1%
1 62
 
6.9%
2 60
 
6.7%
7 55
 
6.2%
6 49
 
5.5%
9 34
 
3.8%
8 33
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 893
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 190
21.3%
- 147
16.5%
5 136
15.2%
3 108
12.1%
1 62
 
6.9%
2 60
 
6.7%
7 55
 
6.2%
6 49
 
5.5%
9 34
 
3.8%
8 33
 
3.7%

소 재 지
Text

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-12T08:32:22.041483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length41
Mean length27.84
Min length17

Characters and Unicode

Total characters2088
Distinct characters148
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

Unique75 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 중앙대로 297, 3등~7층 (남산동, 대한내과빌딩)
2nd row대구광역시 중구 국채보상로139길 41 (동인동1가)
3rd row대구광역시 동구 해동로 119, 지하1,지상1~3층 (입석동)
4th row대구광역시 동구 동촌로 207 (방촌동, 강남병원)
5th row대구광역시 동구 파계로6길 16 (지묘동)
ValueCountFrequency (%)
대구광역시 75
 
17.9%
달서구 14
 
3.3%
북구 12
 
2.9%
서구 11
 
2.6%
수성구 10
 
2.4%
남구 9
 
2.2%
달성군 9
 
2.2%
대명동 8
 
1.9%
동구 8
 
1.9%
대명로 5
 
1.2%
Other values (208) 257
61.5%
2023-12-12T08:32:22.662318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
343
 
16.4%
구 151
 
7.2%
대 110
 
5.3%
동 86
 
4.1%
1 86
 
4.1%
시 78
 
3.7%
광 76
 
3.6%
역 76
 
3.6%
로 63
 
3.0%
, 63
 
3.0%
Other values (138) 956
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1210
58.0%
Space Separator 343
 
16.4%
Decimal Number 331
 
15.9%
Other Punctuation 63
 
3.0%
Close Punctuation 56
 
2.7%
Open Punctuation 56
 
2.7%
Math Symbol 21
 
1.0%
Dash Punctuation 7
 
0.3%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 151
 
12.5%
대 110
 
9.1%
동 86
 
7.1%
시 78
 
6.4%
광 76
 
6.3%
역 76
 
6.3%
로 63
 
5.2%
층 39
 
3.2%
달 29
 
2.4%
성 29
 
2.4%
Other values (121) 473
39.1%
Decimal Number
ValueCountFrequency (%)
1 86
26.0%
2 53
16.0%
4 38
11.5%
6 28
 
8.5%
7 27
 
8.2%
5 25
 
7.6%
3 24
 
7.3%
8 18
 
5.4%
0 17
 
5.1%
9 15
 
4.5%
Space Separator
ValueCountFrequency (%)
343
100.0%
Other Punctuation
ValueCountFrequency (%)
, 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Math Symbol
ValueCountFrequency (%)
~ 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1210
58.0%
Common 877
42.0%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 151
 
12.5%
대 110
 
9.1%
동 86
 
7.1%
시 78
 
6.4%
광 76
 
6.3%
역 76
 
6.3%
로 63
 
5.2%
층 39
 
3.2%
달 29
 
2.4%
성 29
 
2.4%
Other values (121) 473
39.1%
Common
ValueCountFrequency (%)
343
39.1%
1 86
 
9.8%
, 63
 
7.2%
) 56
 
6.4%
( 56
 
6.4%
2 53
 
6.0%
4 38
 
4.3%
6 28
 
3.2%
7 27
 
3.1%
5 25
 
2.9%
Other values (6) 102
 
11.6%
Latin
ValueCountFrequency (%)
M 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1210
58.0%
ASCII 878
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
343
39.1%
1 86
 
9.8%
, 63
 
7.2%
) 56
 
6.4%
( 56
 
6.4%
2 53
 
6.0%
4 38
 
4.3%
6 28
 
3.2%
7 27
 
3.1%
5 25
 
2.8%
Other values (7) 103
 
11.7%
Hangul
ValueCountFrequency (%)
구 151
 
12.5%
대 110
 
9.1%
동 86
 
7.1%
시 78
 
6.4%
광 76
 
6.3%
역 76
 
6.3%
로 63
 
5.2%
층 39
 
3.2%
달 29
 
2.4%
성 29
 
2.4%
Other values (121) 473
39.1%

Interactions

2023-12-12T08:32:19.352827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:32:22.791212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번의료기관명전화번호소 재 지
연번1.0001.0001.0001.000
의료기관명1.0001.0001.0001.000
전화번호1.0001.0001.0001.000
소 재 지1.0001.0001.0001.000

Missing values

2023-12-12T08:32:19.481353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:32:19.566889image/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

연번구분의료기관명전화번호소 재 지
01병원대한요양병원053-218-8800대구광역시 중구 중앙대로 297, 3등~7층 (남산동, 대한내과빌딩)
12병원노아요양병원053-763-0200대구광역시 중구 국채보상로139길 41 (동인동1가)
23병원바른요양병원053-721-7575대구광역시 동구 해동로 119, 지하1,지상1~3층 (입석동)
34병원강남요양병원053-983-4300대구광역시 동구 동촌로 207 (방촌동, 강남병원)
45병원이시아요양병원053-983-7700대구광역시 동구 파계로6길 16 (지묘동)
56병원동대구요양병원053-957-7551대구광역시 동구 신암남로 159 (신암동)
67병원효경지요양병원053-746-3232대구광역시 동구 화랑로 157 (효목동)
78병원안심요양병원053-960-1000대구광역시 동구 안심로41길 50 (서호동)
89병원파티마요양병원053-242-2800대구광역시 동구 아양로 81(신암동)
910병원열경요양병원053-980-9812대구광역시 동구 동촌로 146 (검사동)
연번구분의료기관명전화번호소 재 지
6566병원해오름요양병원053-710-3119대구광역시 달서구 월배로 446
6667병원다사요양병원053-218-9900대구광역시 달성군 다사읍 왕선로 31, 2~7층
6768병원문양요양병원053-582-7777대구광역시 달성군 다사읍 달구벌대로109길 12-6, 1~4층
6869병원가창파티마요양병원053-295-7000대구광역시 달성군 가창면 가창로85길 24-6
6970병원연세요양병원053-625-9000대구광역시 달성군 화원읍 비슬로 2525
7071병원이로운요양병원053-572-1100대구광역시 달성군 다사읍 달구벌대로 893, 3-7층
7172병원달성요양병원053-626-9988대구광역시 달성군 논공읍 달성군청로1길 8
7273병원현풍요양병원053-615-0700대구광역시 달성군 현풍읍 테크노공원로 21, 2~6층
7374병원의료법인가창삼성의료재단 가창삼성요양병원053-762-1400대구광역시 달성군 가창면 가창로57길 50
7475병원성요셉요양병원053-615-4871대구광역시 달성군 논공읍 논공로 210