Overview

Dataset statistics

Number of variables4
Number of observations37
Missing cells1
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory36.6 B

Variable types

Numeric1
Text3

Dataset

Description부산광역시_기장군_한의원_현황_20230719
Author부산광역시 기장군
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15053847

Alerts

의료기관전화번호 has 1 (2.7%) missing valuesMissing
순번 has unique valuesUnique
의료기관명 has unique valuesUnique
의료기관주소(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:22:16.133924
Analysis finished2023-12-10 17:22:17.414843
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T02:22:17.622532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.8
Q110
median19
Q328
95-th percentile35.2
Maximum37
Range36
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.824355
Coefficient of variation (CV)0.56970291
Kurtosis-1.2
Mean19
Median Absolute Deviation (MAD)9
Skewness0
Sum703
Variance117.16667
MonotonicityStrictly increasing
2023-12-11T02:22:18.014650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1 1
 
2.7%
29 1
 
2.7%
22 1
 
2.7%
23 1
 
2.7%
24 1
 
2.7%
25 1
 
2.7%
26 1
 
2.7%
27 1
 
2.7%
28 1
 
2.7%
30 1
 
2.7%
Other values (27) 27
73.0%
ValueCountFrequency (%)
1 1
2.7%
2 1
2.7%
3 1
2.7%
4 1
2.7%
5 1
2.7%
6 1
2.7%
7 1
2.7%
8 1
2.7%
9 1
2.7%
10 1
2.7%
ValueCountFrequency (%)
37 1
2.7%
36 1
2.7%
35 1
2.7%
34 1
2.7%
33 1
2.7%
32 1
2.7%
31 1
2.7%
30 1
2.7%
29 1
2.7%
28 1
2.7%

의료기관명
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-11T02:22:18.678592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length5
Mean length5.8108108
Min length4

Characters and Unicode

Total characters215
Distinct characters77
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row따뜻할 온 한의원
2nd row동방한의원
3rd row오규석한의원
4th row일광삼성한의원
5th row정관에스(S)한의원
ValueCountFrequency (%)
따뜻할 1
 
2.6%
보영한의원 1
 
2.6%
미담한의원 1
 
2.6%
다정한의원 1
 
2.6%
지리산쌍계한의원 1
 
2.6%
디딤돌한의원 1
 
2.6%
새봄한의원 1
 
2.6%
코스비한의원 1
 
2.6%
정관고려한의원 1
 
2.6%
일광한의원 1
 
2.6%
Other values (29) 29
74.4%
2023-12-11T02:22:19.684199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 38
17.7%
한 37
17.2%
원 37
17.2%
정 6
 
2.8%
성 4
 
1.9%
광 3
 
1.4%
다 3
 
1.4%
보 3
 
1.4%
부 3
 
1.4%
관 3
 
1.4%
Other values (67) 78
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 207
96.3%
Decimal Number 3
 
1.4%
Space Separator 2
 
0.9%
Open Punctuation 1
 
0.5%
Uppercase Letter 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 38
18.4%
한 37
17.9%
원 37
17.9%
정 6
 
2.9%
성 4
 
1.9%
광 3
 
1.4%
다 3
 
1.4%
보 3
 
1.4%
부 3
 
1.4%
관 3
 
1.4%
Other values (60) 70
33.8%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
6 1
33.3%
5 1
33.3%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 207
96.3%
Common 7
 
3.3%
Latin 1
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 38
18.4%
한 37
17.9%
원 37
17.9%
정 6
 
2.9%
성 4
 
1.9%
광 3
 
1.4%
다 3
 
1.4%
보 3
 
1.4%
부 3
 
1.4%
관 3
 
1.4%
Other values (60) 70
33.8%
Common
ValueCountFrequency (%)
2
28.6%
( 1
14.3%
) 1
14.3%
3 1
14.3%
6 1
14.3%
5 1
14.3%
Latin
ValueCountFrequency (%)
S 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 207
96.3%
ASCII 8
 
3.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 38
18.4%
한 37
17.9%
원 37
17.9%
정 6
 
2.9%
성 4
 
1.9%
광 3
 
1.4%
다 3
 
1.4%
보 3
 
1.4%
부 3
 
1.4%
관 3
 
1.4%
Other values (60) 70
33.8%
ASCII
ValueCountFrequency (%)
2
25.0%
( 1
12.5%
S 1
12.5%
) 1
12.5%
3 1
12.5%
6 1
12.5%
5 1
12.5%

의료기관주소(도로명)
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-11T02:22:20.311263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length35
Mean length27.621622
Min length21

Characters and Unicode

Total characters1022
Distinct characters78
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

Unique37 ?
Unique (%)100.0%

Sample

1st row부산광역시 기장군 기장읍 차성로 434, 2층 202호
2nd row부산광역시 기장군 기장읍 기장해안로 172, 2층 206,205-1호
3rd row부산광역시 기장군 기장읍 읍내로 93, 미래약국 2층
4th row부산광역시 기장군 일광읍 일광로 99, 시골밥상 3,4층
5th row부산광역시 기장군 정관읍 정관로 580, 2층 202-204호
ValueCountFrequency (%)
부산광역시 37
16.4%
기장군 37
16.4%
기장읍 17
 
7.6%
2층 9
 
4.0%
정관면 8
 
3.6%
정관로 8
 
3.6%
정관읍 6
 
2.7%
3층 4
 
1.8%
1층 4
 
1.8%
4층 4
 
1.8%
Other values (75) 91
40.4%
2023-12-11T02:22:21.721152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
188
18.4%
장 57
 
5.6%
기 55
 
5.4%
광 41
 
4.0%
산 39
 
3.8%
시 38
 
3.7%
군 37
 
3.6%
부 37
 
3.6%
역 37
 
3.6%
로 34
 
3.3%
Other values (68) 459
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 614
60.1%
Space Separator 188
 
18.4%
Decimal Number 177
 
17.3%
Other Punctuation 28
 
2.7%
Dash Punctuation 5
 
0.5%
Close Punctuation 5
 
0.5%
Open Punctuation 5
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 57
 
9.3%
기 55
 
9.0%
광 41
 
6.7%
산 39
 
6.4%
시 38
 
6.2%
군 37
 
6.0%
부 37
 
6.0%
역 37
 
6.0%
로 34
 
5.5%
읍 31
 
5.0%
Other values (53) 208
33.9%
Decimal Number
ValueCountFrequency (%)
2 32
18.1%
3 25
14.1%
1 24
13.6%
0 22
12.4%
4 20
11.3%
8 17
9.6%
5 11
 
6.2%
9 9
 
5.1%
6 9
 
5.1%
7 8
 
4.5%
Space Separator
ValueCountFrequency (%)
188
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 614
60.1%
Common 408
39.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 57
 
9.3%
기 55
 
9.0%
광 41
 
6.7%
산 39
 
6.4%
시 38
 
6.2%
군 37
 
6.0%
부 37
 
6.0%
역 37
 
6.0%
로 34
 
5.5%
읍 31
 
5.0%
Other values (53) 208
33.9%
Common
ValueCountFrequency (%)
188
46.1%
2 32
 
7.8%
, 28
 
6.9%
3 25
 
6.1%
1 24
 
5.9%
0 22
 
5.4%
4 20
 
4.9%
8 17
 
4.2%
5 11
 
2.7%
9 9
 
2.2%
Other values (5) 32
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 614
60.1%
ASCII 408
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
188
46.1%
2 32
 
7.8%
, 28
 
6.9%
3 25
 
6.1%
1 24
 
5.9%
0 22
 
5.4%
4 20
 
4.9%
8 17
 
4.2%
5 11
 
2.7%
9 9
 
2.2%
Other values (5) 32
 
7.8%
Hangul
ValueCountFrequency (%)
장 57
 
9.3%
기 55
 
9.0%
광 41
 
6.7%
산 39
 
6.4%
시 38
 
6.2%
군 37
 
6.0%
부 37
 
6.0%
역 37
 
6.0%
로 34
 
5.5%
읍 31
 
5.0%
Other values (53) 208
33.9%

의료기관전화번호
Text

MISSING 

Distinct36
Distinct (%)100.0%
Missing1
Missing (%)2.7%
Memory size428.0 B
2023-12-11T02:22:22.429690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters432
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

Unique36 ?
Unique (%)100.0%

Sample

1st row051-723-1075
2nd row051-702-8822
3rd row051-723-6888
4th row051-723-8010
5th row051-723-9500
ValueCountFrequency (%)
051-723-1075 1
 
2.8%
051-702-8822 1
 
2.8%
051-722-5275 1
 
2.8%
051-727-5475 1
 
2.8%
051-506-0125 1
 
2.8%
051-728-1075 1
 
2.8%
051-727-4445 1
 
2.8%
051-727-8275 1
 
2.8%
051-721-8181 1
 
2.8%
051-723-1076 1
 
2.8%
Other values (26) 26
72.2%
2023-12-11T02:22:23.450526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 72
16.7%
5 68
15.7%
7 63
14.6%
0 60
13.9%
1 54
12.5%
2 45
10.4%
8 27
 
6.2%
3 23
 
5.3%
4 11
 
2.5%
6 5
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 360
83.3%
Dash Punctuation 72
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 68
18.9%
7 63
17.5%
0 60
16.7%
1 54
15.0%
2 45
12.5%
8 27
 
7.5%
3 23
 
6.4%
4 11
 
3.1%
6 5
 
1.4%
9 4
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 432
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 72
16.7%
5 68
15.7%
7 63
14.6%
0 60
13.9%
1 54
12.5%
2 45
10.4%
8 27
 
6.2%
3 23
 
5.3%
4 11
 
2.5%
6 5
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 432
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 72
16.7%
5 68
15.7%
7 63
14.6%
0 60
13.9%
1 54
12.5%
2 45
10.4%
8 27
 
6.2%
3 23
 
5.3%
4 11
 
2.5%
6 5
 
1.2%

Interactions

2023-12-11T02:22:16.606519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:22:23.738801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관명의료기관주소(도로명)의료기관전화번호
순번1.0001.0001.0001.000
의료기관명1.0001.0001.0001.000
의료기관주소(도로명)1.0001.0001.0001.000
의료기관전화번호1.0001.0001.0001.000

Missing values

2023-12-11T02:22:17.005868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:22:17.306182image/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

순번의료기관명의료기관주소(도로명)의료기관전화번호
01따뜻할 온 한의원부산광역시 기장군 기장읍 차성로 434, 2층 202호051-723-1075
12동방한의원부산광역시 기장군 기장읍 기장해안로 172, 2층 206,205-1호051-702-8822
23오규석한의원부산광역시 기장군 기장읍 읍내로 93, 미래약국 2층051-723-6888
34일광삼성한의원부산광역시 기장군 일광읍 일광로 99, 시골밥상 3,4층051-723-8010
45정관에스(S)한의원부산광역시 기장군 정관읍 정관로 580, 2층 202-204호051-723-9500
56365부부한의원부산광역시 기장군 일광면 해빛로 17, 201호051-724-7633
67다진한의원부산광역시 기장군 정관읍 정관로 712, 2층051-701-3885
78기장조은한의원부산광역시 기장군 기장읍 차성동로73번길 5, 4층 401,103호051-715-3838
89삼성한의원부산광역시 기장군 기장읍 차성동로 93, 2층051-907-3375
910행복나무한의원부산광역시 기장군 정관읍 달산2길 6, 1층<NA>
순번의료기관명의료기관주소(도로명)의료기관전화번호
2728보영한의원부산광역시 기장군 기장읍 차성남로51번길 30051-721-8181
2829일광한의원부산광역시 기장군 일광읍 해빛로 39-16, 3층051-723-1076
2930동의보감한의원부산광역시 기장군 기장읍 차성동로 89, 1층051-722-3533
3031정다운한의원부산광역시 기장군 장안읍 해맞이로 408051-727-8525
3132서울한의원부산광역시 기장군 기장읍 차성동로87번길 8051-724-2800
3233부용한의원부산광역시 기장군 장안읍 해맞이로 425051-727-7510
3334상민한의원부산광역시 기장군 기장읍 차성동로178번길 3051-722-1359
3435송학한의원부산광역시 기장군 기장읍 차성동로 88-2051-724-6700
3536용한의원부산광역시 기장군 기장읍 차성로 304051-723-0770
3637화성한의원부산광역시 기장군 기장읍 차성로288번길 48, 1층051-721-4128