Overview

Dataset statistics

Number of variables6
Number of observations158
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.5 KiB
Average record size in memory48.8 B

Variable types

Text4
Categorical2

Dataset

Description충청남도 논산시 의료기관 현황 파일데이터로 의료기관명, 의료기관구분, 행정동, 소재지도로명주소, 소재지지번주소, 전화번호 정보를 제공하고 있습니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=390&beforeMenuCd=DOM_000000201001001000&publicdatapk=3078245

Alerts

의료기관명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:46:58.240726
Analysis finished2024-01-09 22:46:58.638294
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관명
Text

UNIQUE 

Distinct158
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-10T07:46:58.807695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length6.6898734
Min length3

Characters and Unicode

Total characters1057
Distinct characters192
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

Unique158 ?
Unique (%)100.0%

Sample

1st row서울한의원
2nd row백제종합병원
3rd row서한의원
4th row이한의원
5th row윤치과의원
ValueCountFrequency (%)
서울한의원 1
 
0.6%
논산형제한의원 1
 
0.6%
백치과의원 1
 
0.6%
논산사랑요양병원 1
 
0.6%
강경연세치과의원 1
 
0.6%
논산하나요양병원 1
 
0.6%
감초당한의원 1
 
0.6%
주빌리의원 1
 
0.6%
햇님쉼터한의원 1
 
0.6%
예향요양병원 1
 
0.6%
Other values (151) 151
93.8%
2024-01-10T07:46:59.170427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 152
 
14.4%
의 145
 
13.7%
과 83
 
7.9%
한 46
 
4.4%
치 31
 
2.9%
산 16
 
1.5%
이 15
 
1.4%
연 15
 
1.4%
소 15
 
1.4%
정 14
 
1.3%
Other values (182) 525
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1048
99.1%
Decimal Number 6
 
0.6%
Space Separator 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 152
 
14.5%
의 145
 
13.8%
과 83
 
7.9%
한 46
 
4.4%
치 31
 
3.0%
산 16
 
1.5%
이 15
 
1.4%
연 15
 
1.4%
소 15
 
1.4%
정 14
 
1.3%
Other values (176) 516
49.2%
Decimal Number
ValueCountFrequency (%)
0 2
33.3%
5 1
16.7%
7 1
16.7%
2 1
16.7%
8 1
16.7%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1048
99.1%
Common 9
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 152
 
14.5%
의 145
 
13.8%
과 83
 
7.9%
한 46
 
4.4%
치 31
 
3.0%
산 16
 
1.5%
이 15
 
1.4%
연 15
 
1.4%
소 15
 
1.4%
정 14
 
1.3%
Other values (176) 516
49.2%
Common
ValueCountFrequency (%)
3
33.3%
0 2
22.2%
5 1
 
11.1%
7 1
 
11.1%
2 1
 
11.1%
8 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1048
99.1%
ASCII 9
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 152
 
14.5%
의 145
 
13.8%
과 83
 
7.9%
한 46
 
4.4%
치 31
 
3.0%
산 16
 
1.5%
이 15
 
1.4%
연 15
 
1.4%
소 15
 
1.4%
정 14
 
1.3%
Other values (176) 516
49.2%
ASCII
ValueCountFrequency (%)
3
33.3%
0 2
22.2%
5 1
 
11.1%
7 1
 
11.1%
2 1
 
11.1%
8 1
 
11.1%

의료기관구분
Categorical

Distinct7
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
의원
77 
한의원
37 
치과의원
30 
일반요양병원
10 
병원
 
2
Other values (2)
 
2

Length

Max length6
Median length5
Mean length2.8924051
Min length2

Unique

Unique2 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
의원 77
48.7%
한의원 37
23.4%
치과의원 30
 
19.0%
일반요양병원 10
 
6.3%
병원 2
 
1.3%
종합병원 1
 
0.6%
정신병원 1
 
0.6%

Length

2024-01-10T07:46:59.302128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:46:59.411340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 77
48.7%
한의원 37
23.4%
치과의원 30
 
19.0%
일반요양병원 10
 
6.3%
병원 2
 
1.3%
종합병원 1
 
0.6%
정신병원 1
 
0.6%

행정동
Categorical

Distinct10
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
취암동
101 
강경읍
18 
연무읍
16 
연산면
 
9
양촌면
 
5
Other values (5)
 
9

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique3 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
취암동 101
63.9%
강경읍 18
 
11.4%
연무읍 16
 
10.1%
연산면 9
 
5.7%
양촌면 5
 
3.2%
부창동 4
 
2.5%
상월면 2
 
1.3%
성동면 1
 
0.6%
벌곡면 1
 
0.6%
부적면 1
 
0.6%

Length

2024-01-10T07:46:59.514487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:46:59.614878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취암동 101
63.9%
강경읍 18
 
11.4%
연무읍 16
 
10.1%
연산면 9
 
5.7%
양촌면 5
 
3.2%
부창동 4
 
2.5%
상월면 2
 
1.3%
성동면 1
 
0.6%
벌곡면 1
 
0.6%
부적면 1
 
0.6%

소재지도로명주소
Text

Distinct128
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-10T07:46:59.906496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length19.050633
Min length15

Characters and Unicode

Total characters3010
Distinct characters71
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

Unique111 ?
Unique (%)70.3%

Sample

1st row충청남도 논산시 해월로143번길 20
2nd row충청남도 논산시 시민로294번길 14
3rd row충청남도 논산시 중앙로491번길 14
4th row충청남도 논산시 해월로179번길 21-6
5th row충청남도 논산시 중앙로 491
ValueCountFrequency (%)
충청남도 158
23.1%
논산시 158
23.1%
중앙로 30
 
4.4%
계백로 22
 
3.2%
강경읍 18
 
2.6%
연무읍 16
 
2.3%
해월로 15
 
2.2%
2 11
 
1.6%
연산면 9
 
1.3%
안심로 8
 
1.2%
Other values (149) 240
35.0%
2024-01-10T07:47:00.340866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
527
17.5%
산 175
 
5.8%
시 169
 
5.6%
청 160
 
5.3%
충 158
 
5.2%
남 158
 
5.2%
도 158
 
5.2%
논 158
 
5.2%
로 154
 
5.1%
1 147
 
4.9%
Other values (61) 1046
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1859
61.8%
Decimal Number 589
 
19.6%
Space Separator 527
 
17.5%
Dash Punctuation 35
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 175
 
9.4%
시 169
 
9.1%
청 160
 
8.6%
충 158
 
8.5%
남 158
 
8.5%
도 158
 
8.5%
논 158
 
8.5%
로 154
 
8.3%
길 56
 
3.0%
번 52
 
2.8%
Other values (49) 461
24.8%
Decimal Number
ValueCountFrequency (%)
1 147
25.0%
4 85
14.4%
2 71
12.1%
8 45
 
7.6%
6 42
 
7.1%
0 41
 
7.0%
7 41
 
7.0%
5 40
 
6.8%
9 39
 
6.6%
3 38
 
6.5%
Space Separator
ValueCountFrequency (%)
527
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1859
61.8%
Common 1151
38.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 175
 
9.4%
시 169
 
9.1%
청 160
 
8.6%
충 158
 
8.5%
남 158
 
8.5%
도 158
 
8.5%
논 158
 
8.5%
로 154
 
8.3%
길 56
 
3.0%
번 52
 
2.8%
Other values (49) 461
24.8%
Common
ValueCountFrequency (%)
527
45.8%
1 147
 
12.8%
4 85
 
7.4%
2 71
 
6.2%
8 45
 
3.9%
6 42
 
3.6%
0 41
 
3.6%
7 41
 
3.6%
5 40
 
3.5%
9 39
 
3.4%
Other values (2) 73
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1859
61.8%
ASCII 1151
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
527
45.8%
1 147
 
12.8%
4 85
 
7.4%
2 71
 
6.2%
8 45
 
3.9%
6 42
 
3.6%
0 41
 
3.6%
7 41
 
3.6%
5 40
 
3.5%
9 39
 
3.4%
Other values (2) 73
 
6.3%
Hangul
ValueCountFrequency (%)
산 175
 
9.4%
시 169
 
9.1%
청 160
 
8.6%
충 158
 
8.5%
남 158
 
8.5%
도 158
 
8.5%
논 158
 
8.5%
로 154
 
8.3%
길 56
 
3.0%
번 52
 
2.8%
Other values (49) 461
24.8%

소재지지번주소
Text

Distinct128
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-10T07:47:00.612437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length21.841772
Min length18

Characters and Unicode

Total characters3451
Distinct characters64
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

Unique111 ?
Unique (%)70.3%

Sample

1st row충청남도 논산시 화지동 136-2번지
2nd row충청남도 논산시 취암동 139-2번지
3rd row충청남도 논산시 화지동 146-2번지
4th row충청남도 논산시 화지동 41-87번지
5th row충청남도 논산시 화지동 98-1번지
ValueCountFrequency (%)
충청남도 158
23.1%
논산시 158
23.1%
취암동 37
 
5.4%
반월동 36
 
5.3%
화지동 21
 
3.1%
강경읍 18
 
2.6%
연무읍 16
 
2.3%
대흥리 13
 
1.9%
연산면 9
 
1.3%
안심리 9
 
1.3%
Other values (148) 210
30.7%
2024-01-10T07:47:01.007188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
683
19.8%
지 181
 
5.2%
산 179
 
5.2%
청 160
 
4.6%
충 158
 
4.6%
남 158
 
4.6%
도 158
 
4.6%
논 158
 
4.6%
시 158
 
4.6%
번 158
 
4.6%
Other values (54) 1300
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2049
59.4%
Space Separator 683
 
19.8%
Decimal Number 581
 
16.8%
Dash Punctuation 138
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 181
 
8.8%
산 179
 
8.7%
청 160
 
7.8%
충 158
 
7.7%
남 158
 
7.7%
도 158
 
7.7%
논 158
 
7.7%
시 158
 
7.7%
번 158
 
7.7%
동 112
 
5.5%
Other values (42) 469
22.9%
Decimal Number
ValueCountFrequency (%)
1 133
22.9%
6 78
13.4%
2 64
11.0%
3 55
9.5%
8 52
 
9.0%
4 51
 
8.8%
7 43
 
7.4%
0 42
 
7.2%
9 38
 
6.5%
5 25
 
4.3%
Space Separator
ValueCountFrequency (%)
683
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2049
59.4%
Common 1402
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 181
 
8.8%
산 179
 
8.7%
청 160
 
7.8%
충 158
 
7.7%
남 158
 
7.7%
도 158
 
7.7%
논 158
 
7.7%
시 158
 
7.7%
번 158
 
7.7%
동 112
 
5.5%
Other values (42) 469
22.9%
Common
ValueCountFrequency (%)
683
48.7%
- 138
 
9.8%
1 133
 
9.5%
6 78
 
5.6%
2 64
 
4.6%
3 55
 
3.9%
8 52
 
3.7%
4 51
 
3.6%
7 43
 
3.1%
0 42
 
3.0%
Other values (2) 63
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2049
59.4%
ASCII 1402
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
683
48.7%
- 138
 
9.8%
1 133
 
9.5%
6 78
 
5.6%
2 64
 
4.6%
3 55
 
3.9%
8 52
 
3.7%
4 51
 
3.6%
7 43
 
3.1%
0 42
 
3.0%
Other values (2) 63
 
4.5%
Hangul
ValueCountFrequency (%)
지 181
 
8.8%
산 179
 
8.7%
청 160
 
7.8%
충 158
 
7.7%
남 158
 
7.7%
도 158
 
7.7%
논 158
 
7.7%
시 158
 
7.7%
번 158
 
7.7%
동 112
 
5.5%
Other values (42) 469
22.9%

전화번호
Text

UNIQUE 

Distinct158
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-10T07:47:01.235389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.981013
Min length9

Characters and Unicode

Total characters1893
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

Unique158 ?
Unique (%)100.0%

Sample

1st row041-733-2963
2nd row041-730-8888
3rd row041-735-4130
4th row041-735-3270
5th row041-732-2875
ValueCountFrequency (%)
041-733-2963 1
 
0.6%
041-736-7584 1
 
0.6%
041-735-2875 1
 
0.6%
041-733-0300 1
 
0.6%
041-745-8228 1
 
0.6%
041-734-6700 1
 
0.6%
041-732-1080 1
 
0.6%
041-735-2481 1
 
0.6%
041-734-5277 1
 
0.6%
041-745-0119 1
 
0.6%
Other values (148) 148
93.7%
2024-01-10T07:47:01.575894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 315
16.6%
7 260
13.7%
4 250
13.2%
0 246
13.0%
1 229
12.1%
3 182
9.6%
5 138
7.3%
8 91
 
4.8%
2 86
 
4.5%
6 61
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1578
83.4%
Dash Punctuation 315
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 260
16.5%
4 250
15.8%
0 246
15.6%
1 229
14.5%
3 182
11.5%
5 138
8.7%
8 91
 
5.8%
2 86
 
5.4%
6 61
 
3.9%
9 35
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 315
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1893
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 315
16.6%
7 260
13.7%
4 250
13.2%
0 246
13.0%
1 229
12.1%
3 182
9.6%
5 138
7.3%
8 91
 
4.8%
2 86
 
4.5%
6 61
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1893
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 315
16.6%
7 260
13.7%
4 250
13.2%
0 246
13.0%
1 229
12.1%
3 182
9.6%
5 138
7.3%
8 91
 
4.8%
2 86
 
4.5%
6 61
 
3.2%

Correlations

2024-01-10T07:47:01.659775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관구분행정동
의료기관구분1.0000.000
행정동0.0001.000
2024-01-10T07:47:01.726075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동의료기관구분
행정동1.0000.000
의료기관구분0.0001.000
2024-01-10T07:47:01.796093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관구분행정동
의료기관구분1.0000.000
행정동0.0001.000

Missing values

2024-01-10T07:46:58.508518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:46:58.601898image/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

의료기관명의료기관구분행정동소재지도로명주소소재지지번주소전화번호
0서울한의원한의원취암동충청남도 논산시 해월로143번길 20충청남도 논산시 화지동 136-2번지041-733-2963
1백제종합병원종합병원취암동충청남도 논산시 시민로294번길 14충청남도 논산시 취암동 139-2번지041-730-8888
2서한의원한의원취암동충청남도 논산시 중앙로491번길 14충청남도 논산시 화지동 146-2번지041-735-4130
3이한의원한의원취암동충청남도 논산시 해월로179번길 21-6충청남도 논산시 화지동 41-87번지041-735-3270
4윤치과의원치과의원취암동충청남도 논산시 중앙로 491충청남도 논산시 화지동 98-1번지041-732-2875
5북경중국한의원한의원취암동충청남도 논산시 중앙로491번길 12충청남도 논산시 화지동 145-1번지041-732-3530
6서안과의원의원취암동충청남도 논산시 해월로168번길 2충청남도 논산시 반월동 66-7번지041-732-3595
7세종한의원한의원연무읍충청남도 논산시 연무읍 안심로110번길 2충청남도 논산시 연무읍 동산리 897-9번지041-741-6515
8이종대내과의원의원취암동충청남도 논산시 계백로 1019충청남도 논산시 취암동 612-1번지041-735-3725
9함한의원한의원강경읍충청남도 논산시 강경읍 계백로 127-2충청남도 논산시 강경읍 대흥리 10-169번지041-745-1194
의료기관명의료기관구분행정동소재지도로명주소소재지지번주소전화번호
148참조은의원의원강경읍충청남도 논산시 강경읍 대흥로 27충청남도 논산시 강경읍 대흥리 15-2번지041-745-8875
149논산안과의원의원취암동충청남도 논산시 해월로 163충청남도 논산시 반월동 67-8번지041-732-7507
150미플란트치과의원치과의원취암동충청남도 논산시 중앙로410번길 3충청남도 논산시 취암동 1047-6번지041-980-1600
151프라임치과의원치과의원취암동충청남도 논산시 계백로 1005충청남도 논산시 취암동 587-4번지041-980-1506
152나은한의원한의원취암동충청남도 논산시 해월로 163충청남도 논산시 반월동 67-8번지041-733-1101
153양촌연합의원의원양촌면충청남도 논산시 양촌면 매죽헌로 1685충청남도 논산시 양촌면 인천리 324-3번지041-741-8208
154메가한의원한의원취암동충청남도 논산시 중앙로 255충청남도 논산시 내동 382-32번지041-435-8288
155이은호소아청소년과의원의원취암동충청남도 논산시 대학로65번길 18-1충청남도 논산시 내동 1195번지041-732-7575
156활기찬마취통증의학과의원의원취암동충청남도 논산시 중앙로 464충청남도 논산시 반월동 66-1번지041-732-7582
157이가정의학과의원의원양촌면충청남도 논산시 양촌면 매죽헌로 1691충청남도 논산시 양촌면 인천리 313번지041-742-8277