Overview

Dataset statistics

Number of variables3
Number of observations78
Missing cells2
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory25.7 B

Variable types

Text3

Alerts

요양병원 안내 has 1 (1.3%) missing valuesMissing
Unnamed: 1 has 1 (1.3%) missing valuesMissing
Unnamed: 2 has unique valuesUnique

Reproduction

Analysis started2024-03-14 01:12:49.938176
Analysis finished2024-03-14 01:12:50.367452
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

요양병원 안내
Text

MISSING 

Distinct75
Distinct (%)97.4%
Missing1
Missing (%)1.3%
Memory size756.0 B
2024-03-14T10:12:50.479808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length7.1818182
Min length3

Characters and Unicode

Total characters553
Distinct characters110
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

Unique73 ?
Unique (%)94.8%

Sample

1st row병원명
2nd row나은요양병원
3rd row늘푸른요양병원
4th row마음편한요양병원
5th row만인요양병원
ValueCountFrequency (%)
원광효도요양병원 2
 
2.6%
벧엘요양병원 2
 
2.6%
미래요양병원 1
 
1.3%
부안군노인요양병원 1
 
1.3%
전라북도남원노인요양병원 1
 
1.3%
남원효사랑요양병원 1
 
1.3%
한서요양병원 1
 
1.3%
정읍시노인전문병원 1
 
1.3%
정다운요양병원 1
 
1.3%
해피하우스요양병원 1
 
1.3%
Other values (65) 65
84.4%
2024-03-14T10:12:50.828206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 82
14.8%
병 77
 
13.9%
양 69
 
12.5%
요 67
 
12.1%
인 13
 
2.4%
노 11
 
2.0%
전 10
 
1.8%
효 10
 
1.8%
랑 9
 
1.6%
한 9
 
1.6%
Other values (100) 196
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 553
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 82
14.8%
병 77
 
13.9%
양 69
 
12.5%
요 67
 
12.1%
인 13
 
2.4%
노 11
 
2.0%
전 10
 
1.8%
효 10
 
1.8%
랑 9
 
1.6%
한 9
 
1.6%
Other values (100) 196
35.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 553
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 82
14.8%
병 77
 
13.9%
양 69
 
12.5%
요 67
 
12.1%
인 13
 
2.4%
노 11
 
2.0%
전 10
 
1.8%
효 10
 
1.8%
랑 9
 
1.6%
한 9
 
1.6%
Other values (100) 196
35.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 553
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 82
14.8%
병 77
 
13.9%
양 69
 
12.5%
요 67
 
12.1%
인 13
 
2.4%
노 11
 
2.0%
전 10
 
1.8%
효 10
 
1.8%
랑 9
 
1.6%
한 9
 
1.6%
Other values (100) 196
35.4%

Unnamed: 1
Text

MISSING 

Distinct77
Distinct (%)100.0%
Missing1
Missing (%)1.3%
Memory size756.0 B
2024-03-14T10:12:51.089104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length19.896104
Min length2

Characters and Unicode

Total characters1532
Distinct characters158
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)100.0%

Sample

1st row주소
2nd row전주시 덕진구 기린대로 947 (여의동)
3rd row전주시 덕진구 진버들7길 33 (우아동2가)
4th row전주시 덕진구 쪽구름로 87-1 (반월동)
5th row전주시 덕진구 발단길 5 (송천동2가)
ValueCountFrequency (%)
전주시 32
 
9.4%
완산구 17
 
5.0%
덕진구 15
 
4.4%
익산시 12
 
3.5%
완주군 7
 
2.1%
군산시 6
 
1.8%
고창군 5
 
1.5%
금암동 3
 
0.9%
고창읍 3
 
0.9%
남원시 3
 
0.9%
Other values (207) 238
69.8%
2024-03-14T10:12:51.459402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
264
 
17.2%
1 64
 
4.2%
시 61
 
4.0%
동 58
 
3.8%
( 56
 
3.7%
) 56
 
3.7%
로 50
 
3.3%
산 49
 
3.2%
주 42
 
2.7%
2 39
 
2.5%
Other values (148) 793
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 877
57.2%
Space Separator 264
 
17.2%
Decimal Number 259
 
16.9%
Open Punctuation 56
 
3.7%
Close Punctuation 56
 
3.7%
Dash Punctuation 17
 
1.1%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 61
 
7.0%
동 58
 
6.6%
로 50
 
5.7%
산 49
 
5.6%
주 42
 
4.8%
구 37
 
4.2%
전 33
 
3.8%
길 32
 
3.6%
가 30
 
3.4%
완 26
 
3.0%
Other values (133) 459
52.3%
Decimal Number
ValueCountFrequency (%)
1 64
24.7%
2 39
15.1%
3 25
 
9.7%
5 25
 
9.7%
8 23
 
8.9%
4 23
 
8.9%
7 20
 
7.7%
9 15
 
5.8%
0 13
 
5.0%
6 12
 
4.6%
Space Separator
ValueCountFrequency (%)
264
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 877
57.2%
Common 655
42.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 61
 
7.0%
동 58
 
6.6%
로 50
 
5.7%
산 49
 
5.6%
주 42
 
4.8%
구 37
 
4.2%
전 33
 
3.8%
길 32
 
3.6%
가 30
 
3.4%
완 26
 
3.0%
Other values (133) 459
52.3%
Common
ValueCountFrequency (%)
264
40.3%
1 64
 
9.8%
( 56
 
8.5%
) 56
 
8.5%
2 39
 
6.0%
3 25
 
3.8%
5 25
 
3.8%
8 23
 
3.5%
4 23
 
3.5%
7 20
 
3.1%
Other values (5) 60
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 877
57.2%
ASCII 655
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
264
40.3%
1 64
 
9.8%
( 56
 
8.5%
) 56
 
8.5%
2 39
 
6.0%
3 25
 
3.8%
5 25
 
3.8%
8 23
 
3.5%
4 23
 
3.5%
7 20
 
3.1%
Other values (5) 60
 
9.2%
Hangul
ValueCountFrequency (%)
시 61
 
7.0%
동 58
 
6.6%
로 50
 
5.7%
산 49
 
5.6%
주 42
 
4.8%
구 37
 
4.2%
전 33
 
3.8%
길 32
 
3.6%
가 30
 
3.4%
완 26
 
3.0%
Other values (133) 459
52.3%

Unnamed: 2
Text

UNIQUE 

Distinct78
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size756.0 B
2024-03-14T10:12:51.695683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.833333
Min length4

Characters and Unicode

Total characters923
Distinct characters17
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

Unique78 ?
Unique (%)100.0%

Sample

1st row2015. 2
2nd row전화번호
3rd row063-715-2300
4th row063-247-0301
5th row063-714-2500
ValueCountFrequency (%)
2015 1
 
1.3%
063-721-1113 1
 
1.3%
063-635-8880 1
 
1.3%
063-570-7000 1
 
1.3%
063-531-0075 1
 
1.3%
063-530-1000 1
 
1.3%
063-853-8275 1
 
1.3%
063-853-8276 1
 
1.3%
063-230-3000 1
 
1.3%
063-841-0714 1
 
1.3%
Other values (69) 69
87.3%
2024-03-14T10:12:52.061588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 201
21.8%
- 152
16.5%
3 119
12.9%
6 114
12.4%
2 71
 
7.7%
1 66
 
7.2%
5 49
 
5.3%
8 48
 
5.2%
7 44
 
4.8%
4 34
 
3.7%
Other values (7) 25
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 765
82.9%
Dash Punctuation 152
 
16.5%
Other Letter 4
 
0.4%
Space Separator 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 201
26.3%
3 119
15.6%
6 114
14.9%
2 71
 
9.3%
1 66
 
8.6%
5 49
 
6.4%
8 48
 
6.3%
7 44
 
5.8%
4 34
 
4.4%
9 19
 
2.5%
Other Letter
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 919
99.6%
Hangul 4
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 201
21.9%
- 152
16.5%
3 119
12.9%
6 114
12.4%
2 71
 
7.7%
1 66
 
7.2%
5 49
 
5.3%
8 48
 
5.2%
7 44
 
4.8%
4 34
 
3.7%
Other values (3) 21
 
2.3%
Hangul
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 919
99.6%
Hangul 4
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 201
21.9%
- 152
16.5%
3 119
12.9%
6 114
12.4%
2 71
 
7.7%
1 66
 
7.2%
5 49
 
5.3%
8 48
 
5.2%
7 44
 
4.8%
4 34
 
3.7%
Other values (3) 21
 
2.3%
Hangul
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%

Correlations

2024-03-14T10:12:52.138599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
요양병원 안내Unnamed: 1Unnamed: 2
요양병원 안내1.0001.0001.000
Unnamed: 11.0001.0001.000
Unnamed: 21.0001.0001.000

Missing values

2024-03-14T10:12:50.183983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:12:50.254757image/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.
2024-03-14T10:12:50.332250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

요양병원 안내Unnamed: 1Unnamed: 2
0<NA><NA>2015. 2
1병원명주소전화번호
2나은요양병원전주시 덕진구 기린대로 947 (여의동)063-715-2300
3늘푸른요양병원전주시 덕진구 진버들7길 33 (우아동2가)063-247-0301
4마음편한요양병원전주시 덕진구 쪽구름로 87-1 (반월동)063-714-2500
5만인요양병원전주시 덕진구 발단길 5 (송천동2가)063-273-0075
6벧엘요양병원전주시 덕진구 조경단로 77 (금암동)063-255-5321
7새전주요양병원전주시 덕진구 여암1길 37063-213-8275
8성모요양병원전주시 덕진구 가리내로 118 (덕진동1가)063-270-5000
9에덴요양병원전주시 덕진구 석소로 86 (우아동2가)063-714-2700
요양병원 안내Unnamed: 1Unnamed: 2
68무주효병원무주군 설천면 신두길 26063-322-1111
69임실중앙요양병원임실군 임실읍 봉황로 71-8063-644-1101
70순창요양병원순창군 순창읍 순창로 105063-650-8000
71메디케어요양병원고창군 성내면 이재로 81-9063-561-6566
72유정요양병원고창군 고창읍 보릿골로 8063-561-3355
73효자노인병원고창군 무장면 감덕길 19063-561-0841
74인암요양병원고창군 고창읍 천변북로 91063-560-6600
75전라북도고창노인요양병원고창군 고창읍 고인돌대로 1765063-560-6100
76부안군노인요양병원부안군 부안읍 봉덕길 25-4063-581-9116
77부안효요양병원부안군 행안면 염소로 25063-580-7100