Overview

Dataset statistics

Number of variables4
Number of observations39
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory36.4 B

Variable types

Numeric1
Text3

Alerts

연번 has unique valuesUnique
병원명 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 01:54:48.726964
Analysis finished2024-03-14 01:54:49.138296
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20
Minimum1
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-03-14T10:54:49.193398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q110.5
median20
Q329.5
95-th percentile37.1
Maximum39
Range38
Interquartile range (IQR)19

Descriptive statistics

Standard deviation11.401754
Coefficient of variation (CV)0.57008771
Kurtosis-1.2
Mean20
Median Absolute Deviation (MAD)10
Skewness0
Sum780
Variance130
MonotonicityStrictly increasing
2024-03-14T10:54:49.304737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1 1
 
2.6%
2 1
 
2.6%
23 1
 
2.6%
24 1
 
2.6%
25 1
 
2.6%
26 1
 
2.6%
27 1
 
2.6%
28 1
 
2.6%
29 1
 
2.6%
30 1
 
2.6%
Other values (29) 29
74.4%
ValueCountFrequency (%)
1 1
2.6%
2 1
2.6%
3 1
2.6%
4 1
2.6%
5 1
2.6%
6 1
2.6%
7 1
2.6%
8 1
2.6%
9 1
2.6%
10 1
2.6%
ValueCountFrequency (%)
39 1
2.6%
38 1
2.6%
37 1
2.6%
36 1
2.6%
35 1
2.6%
34 1
2.6%
33 1
2.6%
32 1
2.6%
31 1
2.6%
30 1
2.6%

병원명
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-14T10:54:49.491866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length6.0769231
Min length3

Characters and Unicode

Total characters237
Distinct characters85
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

Unique39 ?
Unique (%)100.0%

Sample

1st row원광병원
2nd row한별여성병원
3rd row한나여성병원
4th row의료법인영경의료재단호성전주병원
5th row이노병원
ValueCountFrequency (%)
원광병원 1
 
2.5%
허병원 1
 
2.5%
온고을재활의학과병원 1
 
2.5%
수병원 1
 
2.5%
다은병원 1
 
2.5%
샘물아동병원 1
 
2.5%
미르피아여성병원 1
 
2.5%
전주우리들병원 1
 
2.5%
전주항병원 1
 
2.5%
전주우석병원 1
 
2.5%
Other values (30) 30
75.0%
2024-03-14T10:54:49.849087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 40
 
16.9%
병 39
 
16.5%
전 12
 
5.1%
주 11
 
4.6%
과 5
 
2.1%
성 5
 
2.1%
한 4
 
1.7%
우 4
 
1.7%
의 4
 
1.7%
아 4
 
1.7%
Other values (75) 109
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 234
98.7%
Decimal Number 2
 
0.8%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 40
 
17.1%
병 39
 
16.7%
전 12
 
5.1%
주 11
 
4.7%
과 5
 
2.1%
성 5
 
2.1%
한 4
 
1.7%
우 4
 
1.7%
의 4
 
1.7%
아 4
 
1.7%
Other values (72) 106
45.3%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 234
98.7%
Common 3
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 40
 
17.1%
병 39
 
16.7%
전 12
 
5.1%
주 11
 
4.7%
과 5
 
2.1%
성 5
 
2.1%
한 4
 
1.7%
우 4
 
1.7%
의 4
 
1.7%
아 4
 
1.7%
Other values (72) 106
45.3%
Common
ValueCountFrequency (%)
1
33.3%
2 1
33.3%
1 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 234
98.7%
ASCII 3
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 40
 
17.1%
병 39
 
16.7%
전 12
 
5.1%
주 11
 
4.7%
과 5
 
2.1%
성 5
 
2.1%
한 4
 
1.7%
우 4
 
1.7%
의 4
 
1.7%
아 4
 
1.7%
Other values (72) 106
45.3%
ASCII
ValueCountFrequency (%)
1
33.3%
2 1
33.3%
1 1
33.3%

주소
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-14T10:54:50.080002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44
Mean length37.333333
Min length28

Characters and Unicode

Total characters1456
Distinct characters97
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

Unique39 ?
Unique (%)100.0%

Sample

1st row전라북도 전주시 덕진구 가련산로 99 (덕진동2가,(덕진동2가))
2nd row전라북도 전주시 덕진구 견훤로 215 (인후동1가)
3rd row전라북도 전주시 덕진구 기린대로 489 (덕진동1가,(덕진동1가))
4th row전라북도 전주시 덕진구 동부대로 895 (호성동1가,6층 (호성동1가))
5th row전라북도 전주시 덕진구 백제대로 624 (금암동,(금암동))
ValueCountFrequency (%)
전라북도 39
 
16.1%
전주시 39
 
16.1%
완산구 28
 
11.6%
덕진구 11
 
4.5%
백제대로 7
 
2.9%
효자동3가,(효자동3가 4
 
1.7%
평화동1가,(평화동1가 3
 
1.2%
중화산동2가,(중화산동2가 3
 
1.2%
인후동1가 3
 
1.2%
효자동2가,(효자동2가 3
 
1.2%
Other values (87) 102
42.1%
2024-03-14T10:54:50.408513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
203
 
13.9%
전 79
 
5.4%
동 76
 
5.2%
( 76
 
5.2%
) 74
 
5.1%
가 69
 
4.7%
1 48
 
3.3%
2 43
 
3.0%
, 42
 
2.9%
산 42
 
2.9%
Other values (87) 704
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 858
58.9%
Space Separator 203
 
13.9%
Decimal Number 197
 
13.5%
Open Punctuation 76
 
5.2%
Close Punctuation 74
 
5.1%
Other Punctuation 42
 
2.9%
Dash Punctuation 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 79
 
9.2%
동 76
 
8.9%
가 69
 
8.0%
산 42
 
4.9%
라 40
 
4.7%
북 39
 
4.5%
주 39
 
4.5%
도 39
 
4.5%
구 39
 
4.5%
시 39
 
4.5%
Other values (72) 357
41.6%
Decimal Number
ValueCountFrequency (%)
1 48
24.4%
2 43
21.8%
3 23
11.7%
0 17
 
8.6%
4 14
 
7.1%
6 12
 
6.1%
5 12
 
6.1%
7 11
 
5.6%
8 9
 
4.6%
9 8
 
4.1%
Space Separator
ValueCountFrequency (%)
203
100.0%
Open Punctuation
ValueCountFrequency (%)
( 76
100.0%
Close Punctuation
ValueCountFrequency (%)
) 74
100.0%
Other Punctuation
ValueCountFrequency (%)
, 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 858
58.9%
Common 598
41.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 79
 
9.2%
동 76
 
8.9%
가 69
 
8.0%
산 42
 
4.9%
라 40
 
4.7%
북 39
 
4.5%
주 39
 
4.5%
도 39
 
4.5%
구 39
 
4.5%
시 39
 
4.5%
Other values (72) 357
41.6%
Common
ValueCountFrequency (%)
203
33.9%
( 76
 
12.7%
) 74
 
12.4%
1 48
 
8.0%
2 43
 
7.2%
, 42
 
7.0%
3 23
 
3.8%
0 17
 
2.8%
4 14
 
2.3%
6 12
 
2.0%
Other values (5) 46
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 858
58.9%
ASCII 598
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
203
33.9%
( 76
 
12.7%
) 74
 
12.4%
1 48
 
8.0%
2 43
 
7.2%
, 42
 
7.0%
3 23
 
3.8%
0 17
 
2.8%
4 14
 
2.3%
6 12
 
2.0%
Other values (5) 46
 
7.7%
Hangul
ValueCountFrequency (%)
전 79
 
9.2%
동 76
 
8.9%
가 69
 
8.0%
산 42
 
4.9%
라 40
 
4.7%
북 39
 
4.5%
주 39
 
4.5%
도 39
 
4.5%
구 39
 
4.5%
시 39
 
4.5%
Other values (72) 357
41.6%

전화번호
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-14T10:54:50.593782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.025641
Min length12

Characters and Unicode

Total characters469
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

Unique39 ?
Unique (%)100.0%

Sample

1st row063-270-1114
2nd row063-244-3559
3rd row063-250-3500
4th row063-240-8800
5th row063-254-1114
ValueCountFrequency (%)
063-270-1114 1
 
2.6%
063-228-5540 1
 
2.6%
063-251-7200 1
 
2.6%
063-239-0114 1
 
2.6%
000-0000-0000 1
 
2.6%
063-230-5900 1
 
2.6%
063-715-3700 1
 
2.6%
063-228-6002 1
 
2.6%
063-220-8300 1
 
2.6%
063-230-5300 1
 
2.6%
Other values (29) 29
74.4%
2024-03-14T10:54:50.895967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 125
26.7%
- 78
16.6%
3 60
12.8%
2 56
11.9%
6 44
 
9.4%
1 27
 
5.8%
5 26
 
5.5%
4 17
 
3.6%
7 13
 
2.8%
9 12
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 391
83.4%
Dash Punctuation 78
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 125
32.0%
3 60
15.3%
2 56
14.3%
6 44
 
11.3%
1 27
 
6.9%
5 26
 
6.6%
4 17
 
4.3%
7 13
 
3.3%
9 12
 
3.1%
8 11
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 469
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 125
26.7%
- 78
16.6%
3 60
12.8%
2 56
11.9%
6 44
 
9.4%
1 27
 
5.8%
5 26
 
5.5%
4 17
 
3.6%
7 13
 
2.8%
9 12
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 469
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 125
26.7%
- 78
16.6%
3 60
12.8%
2 56
11.9%
6 44
 
9.4%
1 27
 
5.8%
5 26
 
5.5%
4 17
 
3.6%
7 13
 
2.8%
9 12
 
2.6%

Interactions

2024-03-14T10:54:48.883376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T10:54:50.985488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번병원명주소전화번호
연번1.0001.0001.0001.000
병원명1.0001.0001.0001.000
주소1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2024-03-14T10:54:49.038272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:54:49.112639image/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

연번병원명주소전화번호
01원광병원전라북도 전주시 덕진구 가련산로 99 (덕진동2가,(덕진동2가))063-270-1114
12한별여성병원전라북도 전주시 덕진구 견훤로 215 (인후동1가)063-244-3559
23한나여성병원전라북도 전주시 덕진구 기린대로 489 (덕진동1가,(덕진동1가))063-250-3500
34의료법인영경의료재단호성전주병원전라북도 전주시 덕진구 동부대로 895 (호성동1가,6층 (호성동1가))063-240-8800
45이노병원전라북도 전주시 덕진구 백제대로 624 (금암동,(금암동))063-254-1114
56백제병원전라북도 전주시 덕진구 백제대로 700 (인후동2가,(인후동2가, 새백제병원))063-245-2290
67더세움병원전라북도 전주시 덕진구 서가재미2길 7 (인후동1가, (인후동1가))063-243-9100
78전주신세계정형외과병원전라북도 전주시 덕진구 송천중앙로 125 (송천동1가,(송천동1가))063-270-1900
89전주21세기병원전라북도 전주시 덕진구 송천중앙로 43 (덕진동2가,(덕진동2가))063-270-5200
910은성병원전라북도 전주시 덕진구 안덕원로 190 (인후동2가,(인후동2가))063-252-3543
연번병원명주소전화번호
2930삼남재활의학과병원전라북도 전주시 완산구 영경3길 6 (중화산동2가,(중화산동2가))063-222-8080
3031온고을재활의학과병원전라북도 전주시 완산구 완산길 100 (서완산동1가,(서완산동1가))063-710-3300
3132다솔아동병원전라북도 전주시 완산구 우전로 250 (효자동2가,(효063-280-0800
3233본병원전라북도 전주시 완산구 유연로 276 (중화산동2가,(중화산동2가))063-220-0300
3334한양병원전라북도 전주시 완산구 장승배기로 204 (평화동1가,(평화동1가))063-220-5000
3435전일홉킨스병원전라북도 전주시 완산구 장승배기로 228 (평화동1가)063-714-4222
3536드림솔병원전라북도 전주시 완산구 천잠로 507 (효자동3가,(효자동3가))063-250-8000
3637한일정형외과병원전라북도 전주시 완산구 홍산로 160-3 (효자동2가,2층 201호,302호 (효자동2가))063-226-0692
3738우리들정형외과병원전라북도 전주시 완산구 홍산로 250 (효자동3가, (효자동3가))063-255-1321
3839유로병원전라북도 전주시 완산구 효자로 169 (효자동3가,(효자동3가))063-231-6565