Overview

Dataset statistics

Number of variables5
Number of observations58
Missing cells1
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory43.3 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description충청남도_아산시 관내 운영중인 한의원 현황자료로서 의료기관명, 주소, 전화번호등의 정보를 제공합니다.------------------------
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=435&beforeMenuCd=DOM_000000201001001000&publicdatapk=15055146

Alerts

의료기관종별 has constant value ""Constant
의료기관전화번호 has 1 (1.7%) missing valuesMissing
순번 has unique valuesUnique
의료기관명 has unique valuesUnique
의료기관주소(도로명) has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:52:38.111673
Analysis finished2024-01-09 21:52:38.555171
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.5
Minimum1
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-01-10T06:52:38.835218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.85
Q115.25
median29.5
Q343.75
95-th percentile55.15
Maximum58
Range57
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation16.886879
Coefficient of variation (CV)0.57243656
Kurtosis-1.2
Mean29.5
Median Absolute Deviation (MAD)14.5
Skewness0
Sum1711
Variance285.16667
MonotonicityStrictly increasing
2024-01-10T06:52:38.944304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
45 1
 
1.7%
33 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%
50 1
1.7%
49 1
1.7%

의료기관명
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-01-10T06:52:39.144398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length6.0517241
Min length4

Characters and Unicode

Total characters351
Distinct characters106
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

Unique58 ?
Unique (%)100.0%

Sample

1st row순한의원
2nd row이도한의원
3rd row호두나무한의원
4th row아산튼튼한의원
5th row정한의원
ValueCountFrequency (%)
순한의원 1
 
1.7%
차차한의원 1
 
1.7%
중화한의원 1
 
1.7%
해맑은한의원 1
 
1.7%
일이삼한의원 1
 
1.7%
예소담한의원 1
 
1.7%
동춘한의원 1
 
1.7%
명한의원 1
 
1.7%
명한의원.의원 1
 
1.7%
배방가족한의원 1
 
1.7%
Other values (49) 49
83.1%
2024-01-10T06:52:39.464256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 62
17.7%
의 60
17.1%
한 60
17.1%
산 7
 
2.0%
아 7
 
2.0%
이 6
 
1.7%
동 5
 
1.4%
경 4
 
1.1%
희 4
 
1.1%
수 4
 
1.1%
Other values (96) 132
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 348
99.1%
Other Punctuation 1
 
0.3%
Decimal Number 1
 
0.3%
Space Separator 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 62
17.8%
의 60
17.2%
한 60
17.2%
산 7
 
2.0%
아 7
 
2.0%
이 6
 
1.7%
동 5
 
1.4%
경 4
 
1.1%
희 4
 
1.1%
수 4
 
1.1%
Other values (93) 129
37.1%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 348
99.1%
Common 3
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 62
17.8%
의 60
17.2%
한 60
17.2%
산 7
 
2.0%
아 7
 
2.0%
이 6
 
1.7%
동 5
 
1.4%
경 4
 
1.1%
희 4
 
1.1%
수 4
 
1.1%
Other values (93) 129
37.1%
Common
ValueCountFrequency (%)
. 1
33.3%
1 1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 348
99.1%
ASCII 3
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 62
17.8%
의 60
17.2%
한 60
17.2%
산 7
 
2.0%
아 7
 
2.0%
이 6
 
1.7%
동 5
 
1.4%
경 4
 
1.1%
희 4
 
1.1%
수 4
 
1.1%
Other values (93) 129
37.1%
ASCII
ValueCountFrequency (%)
. 1
33.3%
1 1
33.3%
1
33.3%

의료기관종별
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
한의원
58 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한의원 58
100.0%

Length

2024-01-10T06:52:39.574830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:52:39.643774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한의원 58
100.0%

의료기관주소(도로명)
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-01-10T06:52:39.856562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length33
Mean length26.586207
Min length19

Characters and Unicode

Total characters1542
Distinct characters120
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)100.0%

Sample

1st row충청남도 아산시 둔포면 아산밸리중앙로 82, 2층
2nd row충청남도 아산시 탕정면 탕정면로 18, 비전타워 2층
3rd row충청남도 아산시 배방읍 고속철대로 65, JJ프라자 3,4,5층
4th row충청남도 아산시 온천대로 1482-1, 1층 (온천동)
5th row충청남도 아산시 배방읍 모산로 186-14, 3층 301호
ValueCountFrequency (%)
충청남도 58
 
16.8%
아산시 58
 
16.8%
온천동 18
 
5.2%
배방읍 14
 
4.1%
2층 10
 
2.9%
3층 7
 
2.0%
둔포면 6
 
1.7%
모산로 5
 
1.4%
모종동 4
 
1.2%
충무로 4
 
1.2%
Other values (120) 161
46.7%
2024-01-10T06:52:40.202445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
287
18.6%
산 69
 
4.5%
시 68
 
4.4%
아 65
 
4.2%
충 63
 
4.1%
남 61
 
4.0%
청 59
 
3.8%
도 58
 
3.8%
로 52
 
3.4%
2 44
 
2.9%
Other values (110) 716
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 902
58.5%
Space Separator 287
 
18.6%
Decimal Number 230
 
14.9%
Close Punctuation 35
 
2.3%
Open Punctuation 35
 
2.3%
Other Punctuation 35
 
2.3%
Dash Punctuation 13
 
0.8%
Uppercase Letter 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 69
 
7.6%
시 68
 
7.5%
아 65
 
7.2%
충 63
 
7.0%
남 61
 
6.8%
청 59
 
6.5%
도 58
 
6.4%
로 52
 
5.8%
동 29
 
3.2%
층 26
 
2.9%
Other values (91) 352
39.0%
Decimal Number
ValueCountFrequency (%)
2 44
19.1%
1 42
18.3%
3 38
16.5%
4 25
10.9%
0 21
9.1%
5 20
8.7%
8 17
 
7.4%
6 10
 
4.3%
7 8
 
3.5%
9 5
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
J 2
40.0%
M 1
20.0%
D 1
20.0%
S 1
20.0%
Space Separator
ValueCountFrequency (%)
287
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Other Punctuation
ValueCountFrequency (%)
, 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 902
58.5%
Common 635
41.2%
Latin 5
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 69
 
7.6%
시 68
 
7.5%
아 65
 
7.2%
충 63
 
7.0%
남 61
 
6.8%
청 59
 
6.5%
도 58
 
6.4%
로 52
 
5.8%
동 29
 
3.2%
층 26
 
2.9%
Other values (91) 352
39.0%
Common
ValueCountFrequency (%)
287
45.2%
2 44
 
6.9%
1 42
 
6.6%
3 38
 
6.0%
) 35
 
5.5%
( 35
 
5.5%
, 35
 
5.5%
4 25
 
3.9%
0 21
 
3.3%
5 20
 
3.1%
Other values (5) 53
 
8.3%
Latin
ValueCountFrequency (%)
J 2
40.0%
M 1
20.0%
D 1
20.0%
S 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 902
58.5%
ASCII 640
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
287
44.8%
2 44
 
6.9%
1 42
 
6.6%
3 38
 
5.9%
) 35
 
5.5%
( 35
 
5.5%
, 35
 
5.5%
4 25
 
3.9%
0 21
 
3.3%
5 20
 
3.1%
Other values (9) 58
 
9.1%
Hangul
ValueCountFrequency (%)
산 69
 
7.6%
시 68
 
7.5%
아 65
 
7.2%
충 63
 
7.0%
남 61
 
6.8%
청 59
 
6.5%
도 58
 
6.4%
로 52
 
5.8%
동 29
 
3.2%
층 26
 
2.9%
Other values (91) 352
39.0%

의료기관전화번호
Text

MISSING 

Distinct57
Distinct (%)100.0%
Missing1
Missing (%)1.7%
Memory size596.0 B
2024-01-10T06:52:40.402924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters684
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

Unique57 ?
Unique (%)100.0%

Sample

1st row041-534-5670
2nd row041-541-2512
3rd row041-533-4033
4th row041-547-1075
5th row041-549-3119
ValueCountFrequency (%)
041-534-5670 1
 
1.8%
041-623-7575 1
 
1.8%
041-532-7585 1
 
1.8%
041-546-0123 1
 
1.8%
041-543-7582 1
 
1.8%
041-546-8279 1
 
1.8%
041-541-8890 1
 
1.8%
041-547-6700 1
 
1.8%
041-541-0777 1
 
1.8%
041-544-7999 1
 
1.8%
Other values (47) 47
82.5%
2024-01-10T06:52:40.691417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 118
17.3%
- 114
16.7%
5 104
15.2%
1 99
14.5%
0 87
12.7%
7 48
7.0%
3 34
 
5.0%
2 29
 
4.2%
9 19
 
2.8%
6 16
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 570
83.3%
Dash Punctuation 114
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 118
20.7%
5 104
18.2%
1 99
17.4%
0 87
15.3%
7 48
8.4%
3 34
 
6.0%
2 29
 
5.1%
9 19
 
3.3%
6 16
 
2.8%
8 16
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 684
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 118
17.3%
- 114
16.7%
5 104
15.2%
1 99
14.5%
0 87
12.7%
7 48
7.0%
3 34
 
5.0%
2 29
 
4.2%
9 19
 
2.8%
6 16
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 684
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 118
17.3%
- 114
16.7%
5 104
15.2%
1 99
14.5%
0 87
12.7%
7 48
7.0%
3 34
 
5.0%
2 29
 
4.2%
9 19
 
2.8%
6 16
 
2.3%

Interactions

2024-01-10T06:52:38.349078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:52:40.769552image/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

2024-01-10T06:52:38.436770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:52:38.516094image/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

순번의료기관명의료기관종별의료기관주소(도로명)의료기관전화번호
01순한의원한의원충청남도 아산시 둔포면 아산밸리중앙로 82, 2층041-534-5670
12이도한의원한의원충청남도 아산시 탕정면 탕정면로 18, 비전타워 2층041-541-2512
23호두나무한의원한의원충청남도 아산시 배방읍 고속철대로 65, JJ프라자 3,4,5층<NA>
34아산튼튼한의원한의원충청남도 아산시 온천대로 1482-1, 1층 (온천동)041-533-4033
45정한의원한의원충청남도 아산시 배방읍 모산로 186-14, 3층 301호041-547-1075
56바로세움한의원한의원충청남도 아산시 둔포면 아산밸리중앙로 82, 제1동 3층 303호041-549-3119
67이승수한의원한의원충청남도 아산시 온궁로 22-4, 2층 (온천동)041-541-1075
78솔솔한의원한의원충청남도 아산시 배방읍 모산로 91, 1층041-534-3100
89온양용한의원한의원충청남도 아산시 시장길25번길 2, 수정빌딩 2층 (온천동)041-545-7510
910동그라미한의원한의원충청남도 아산시 번영로 207, 1층 (모종동)041-544-3144
순번의료기관명의료기관종별의료기관주소(도로명)의료기관전화번호
4849동남한의원한의원충청남도 아산시 시민로 389 (온천동)041-544-7512
4950한마음한의원한의원충청남도 아산시 둔포면 둔포면로25번길 22041-531-7515
5051중국세광한의원한의원충청남도 아산시 둔포면 둔포면로 3041-531-4274
5152남한의원한의원충청남도 아산시 온천대로 1488 (온천동)041-549-7510
5253성심한의원한의원충청남도 아산시 번영로 171 (권곡동)041-545-4917
5354동일한의원한의원충청남도 아산시 둔포면 둔포중앙로 139041-531-7582
5455모산부부한의원한의원충청남도 아산시 배방읍 모산로 138041-548-1072
5556중국영안당한의원한의원충청남도 아산시 시민로 336 (온천동)041-545-7595
5657중화한의원한의원충청남도 아산시 시민로 364-33 (온천동)041-545-9195
5758덕산한의원한의원충청남도 아산시 시장남길 15-2 (온천동)041-545-2506