Overview

Dataset statistics

Number of variables4
Number of observations93
Missing cells1
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory34.4 B

Variable types

Numeric1
Text3

Dataset

Description충청남도 아산시 관내 운영중인 치과의원 현황자료로서 의료기관명, 의료기관주소(도로명), 의료기관전화번호 등의 정보를 제공합니다.
Author충청남도 아산시
URLhttps://www.data.go.kr/data/15055147/fileData.do

Alerts

의료기관전화번호 has 1 (1.1%) missing valuesMissing
순번 has unique valuesUnique
의료기관명 has unique valuesUnique
의료기관주소(도로명) has unique valuesUnique

Reproduction

Analysis started2024-05-11 10:14:21.354771
Analysis finished2024-05-11 10:14:23.441769
Duration2.09 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47
Minimum1
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2024-05-11T10:14:23.771236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.6
Q124
median47
Q370
95-th percentile88.4
Maximum93
Range92
Interquartile range (IQR)46

Descriptive statistics

Standard deviation26.990739
Coefficient of variation (CV)0.57427105
Kurtosis-1.2
Mean47
Median Absolute Deviation (MAD)23
Skewness0
Sum4371
Variance728.5
MonotonicityStrictly increasing
2024-05-11T10:14:24.668119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
60 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
Other values (83) 83
89.2%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
93 1
1.1%
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%

의료기관명
Text

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size876.0 B
2024-05-11T10:14:25.782383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length7.3548387
Min length5

Characters and Unicode

Total characters684
Distinct characters132
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

Unique93 ?
Unique (%)100.0%

Sample

1st row포셀트치과의원
2nd row탕정센트럴문치과의원
3rd row연세발렌타인치과교정과치과의원
4th row사과나무치과의원
5th row바른손치과의원
ValueCountFrequency (%)
포셀트치과의원 1
 
1.1%
서울닥터김치과의원 1
 
1.1%
보스톤치과의원 1
 
1.1%
센트럴치과의원 1
 
1.1%
본치과의원 1
 
1.1%
삼성컬럼비아치과의원 1
 
1.1%
라임치과의원 1
 
1.1%
예스플란트치과의원 1
 
1.1%
소중한아이치과의원 1
 
1.1%
아산포유치과의원 1
 
1.1%
Other values (83) 83
89.2%
2024-05-11T10:14:27.226758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97
14.2%
96
14.0%
94
 
13.7%
93
 
13.6%
23
 
3.4%
11
 
1.6%
10
 
1.5%
9
 
1.3%
8
 
1.2%
8
 
1.2%
Other values (122) 235
34.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 684
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
97
14.2%
96
14.0%
94
 
13.7%
93
 
13.6%
23
 
3.4%
11
 
1.6%
10
 
1.5%
9
 
1.3%
8
 
1.2%
8
 
1.2%
Other values (122) 235
34.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 684
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
97
14.2%
96
14.0%
94
 
13.7%
93
 
13.6%
23
 
3.4%
11
 
1.6%
10
 
1.5%
9
 
1.3%
8
 
1.2%
8
 
1.2%
Other values (122) 235
34.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 684
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
97
14.2%
96
14.0%
94
 
13.7%
93
 
13.6%
23
 
3.4%
11
 
1.6%
10
 
1.5%
9
 
1.3%
8
 
1.2%
8
 
1.2%
Other values (122) 235
34.4%
Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size876.0 B
2024-05-11T10:14:28.001782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length37
Mean length29.150538
Min length19

Characters and Unicode

Total characters2711
Distinct characters157
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

Unique93 ?
Unique (%)100.0%

Sample

1st row충청남도 아산시 온천대로 1538, 4층 1,1-1,2,2-1호 (온천동)
2nd row충청남도 아산시 탕정면 한들물빛5로 5, 3층 303,304,305호
3rd row충청남도 아산시 탕정면 한들물빛5로 17, 306호
4th row충청남도 아산시 탕정면 한들물빛5로 11, 405~406호
5th row충청남도 아산시 시민로 374, 2, 4층 (온천동)
ValueCountFrequency (%)
충청남도 93
 
16.2%
아산시 93
 
16.2%
온천동 26
 
4.5%
배방읍 18
 
3.1%
온천대로 15
 
2.6%
3층 15
 
2.6%
4층 13
 
2.3%
2층 13
 
2.3%
탕정면 13
 
2.3%
모종동 12
 
2.1%
Other values (186) 264
45.9%
2024-05-11T10:14:29.238617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
482
 
17.8%
108
 
4.0%
106
 
3.9%
105
 
3.9%
101
 
3.7%
96
 
3.5%
96
 
3.5%
93
 
3.4%
85
 
3.1%
, 80
 
3.0%
Other values (147) 1359
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1544
57.0%
Space Separator 482
 
17.8%
Decimal Number 446
 
16.5%
Other Punctuation 80
 
3.0%
Close Punctuation 61
 
2.3%
Open Punctuation 61
 
2.3%
Dash Punctuation 17
 
0.6%
Uppercase Letter 12
 
0.4%
Math Symbol 8
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
108
 
7.0%
106
 
6.9%
105
 
6.8%
101
 
6.5%
96
 
6.2%
96
 
6.2%
93
 
6.0%
85
 
5.5%
57
 
3.7%
46
 
3.0%
Other values (122) 651
42.2%
Decimal Number
ValueCountFrequency (%)
1 78
17.5%
3 75
16.8%
2 73
16.4%
4 56
12.6%
0 49
11.0%
5 32
7.2%
8 25
 
5.6%
6 20
 
4.5%
7 20
 
4.5%
9 18
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
Y 2
16.7%
E 2
16.7%
S 2
16.7%
U 1
8.3%
L 1
8.3%
D 1
8.3%
J 1
8.3%
M 1
8.3%
B 1
8.3%
Space Separator
ValueCountFrequency (%)
482
100.0%
Other Punctuation
ValueCountFrequency (%)
, 80
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1544
57.0%
Common 1155
42.6%
Latin 12
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
108
 
7.0%
106
 
6.9%
105
 
6.8%
101
 
6.5%
96
 
6.2%
96
 
6.2%
93
 
6.0%
85
 
5.5%
57
 
3.7%
46
 
3.0%
Other values (122) 651
42.2%
Common
ValueCountFrequency (%)
482
41.7%
, 80
 
6.9%
1 78
 
6.8%
3 75
 
6.5%
2 73
 
6.3%
) 61
 
5.3%
( 61
 
5.3%
4 56
 
4.8%
0 49
 
4.2%
5 32
 
2.8%
Other values (6) 108
 
9.4%
Latin
ValueCountFrequency (%)
Y 2
16.7%
E 2
16.7%
S 2
16.7%
U 1
8.3%
L 1
8.3%
D 1
8.3%
J 1
8.3%
M 1
8.3%
B 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1544
57.0%
ASCII 1167
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
482
41.3%
, 80
 
6.9%
1 78
 
6.7%
3 75
 
6.4%
2 73
 
6.3%
) 61
 
5.2%
( 61
 
5.2%
4 56
 
4.8%
0 49
 
4.2%
5 32
 
2.7%
Other values (15) 120
 
10.3%
Hangul
ValueCountFrequency (%)
108
 
7.0%
106
 
6.9%
105
 
6.8%
101
 
6.5%
96
 
6.2%
96
 
6.2%
93
 
6.0%
85
 
5.5%
57
 
3.7%
46
 
3.0%
Other values (122) 651
42.2%
Distinct92
Distinct (%)100.0%
Missing1
Missing (%)1.1%
Memory size876.0 B
2024-05-11T10:14:29.876436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1104
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

Unique92 ?
Unique (%)100.0%

Sample

1st row041-424-2882
2nd row041-533-7528
3rd row041-424-1217
4th row041-544-2275
5th row041-533-0928
ValueCountFrequency (%)
041-424-2882 1
 
1.1%
041-532-2825 1
 
1.1%
041-546-2875 1
 
1.1%
041-534-7528 1
 
1.1%
041-533-2750 1
 
1.1%
041-911-2222 1
 
1.1%
041-541-2879 1
 
1.1%
041-548-2804 1
 
1.1%
041-532-7522 1
 
1.1%
041-547-2204 1
 
1.1%
Other values (82) 82
89.1%
2024-05-11T10:14:30.863423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 184
16.7%
4 183
16.6%
5 140
12.7%
1 118
10.7%
2 118
10.7%
0 116
10.5%
8 80
7.2%
7 70
 
6.3%
3 54
 
4.9%
9 25
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 920
83.3%
Dash Punctuation 184
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 183
19.9%
5 140
15.2%
1 118
12.8%
2 118
12.8%
0 116
12.6%
8 80
8.7%
7 70
 
7.6%
3 54
 
5.9%
9 25
 
2.7%
6 16
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 184
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1104
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 184
16.7%
4 183
16.6%
5 140
12.7%
1 118
10.7%
2 118
10.7%
0 116
10.5%
8 80
7.2%
7 70
 
6.3%
3 54
 
4.9%
9 25
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1104
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 184
16.7%
4 183
16.6%
5 140
12.7%
1 118
10.7%
2 118
10.7%
0 116
10.5%
8 80
7.2%
7 70
 
6.3%
3 54
 
4.9%
9 25
 
2.3%

Interactions

2024-05-11T10:14:22.516539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T10:14:31.138544image/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

2024-05-11T10:14:23.011752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T10:14:23.327842image/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
01포셀트치과의원충청남도 아산시 온천대로 1538, 4층 1,1-1,2,2-1호 (온천동)041-424-2882
12탕정센트럴문치과의원충청남도 아산시 탕정면 한들물빛5로 5, 3층 303,304,305호041-533-7528
23연세발렌타인치과교정과치과의원충청남도 아산시 탕정면 한들물빛5로 17, 306호041-424-1217
34사과나무치과의원충청남도 아산시 탕정면 한들물빛5로 11, 405~406호<NA>
45바른손치과의원충청남도 아산시 시민로 374, 2, 4층 (온천동)041-544-2275
56센텀아트치과의원충청남도 아산시 배방읍 세교중앙1길 78-1, 3층041-533-0928
67연세뉴치과의원충청남도 아산시 배방읍 고속철대로 83, 103~107, 204호041-427-2828
78튼튼한어린이치과의원충청남도 아산시 탕정면 한들물빛도시로 88, 거산타워 401~402호041-427-3131
89서울샤치과의원충청남도 아산시 탕정면 한들물빛도시로 88, 거산타워 302호041-531-2275
910탕정이앤정치과의원충청남도 아산시 탕정면 한들물빛5로 25, 리앤포레 404~406호041-531-2879
순번의료기관명의료기관주소(도로명)의료기관전화번호
8384다인치과의원충청남도 아산시 용화고길79번길 31 (용화동)041-548-2875
8485조원석치과의원충청남도 아산시 충무로 14, 4층 (온천동)041-547-0007
8586이사랑치과의원충청남도 아산시 충무로 15 (온천동)041-546-5932
8687연세치과의원충청남도 아산시 온천대로 1480, 3층 (온천동)041-542-8746
8788조기원치과의원충청남도 아산시 시장길 28 (온천동)041-545-0858
8889서울치과의원충청남도 아산시 둔포면 둔포중앙로 145041-531-6349
8990이동수치과의원충청남도 아산시 충무로 4, 2층 (온천동, 인당빌딩)041-544-7728
9091김백근치과의원충청남도 아산시 시장길25번길 2 (온천동)041-544-9494
9192밝은치과의원충청남도 아산시 충무로 3 (온천동)041-542-2875
9293신치과의원충청남도 아산시 온천대로 1499 (온천동)041-545-4438