Overview

Dataset statistics

Number of variables6
Number of observations159
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.6 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 22:47:02.446032
Analysis finished2024-01-09 22:47:02.853755
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관명
Text

UNIQUE 

Distinct159
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-10T07:47:02.991126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length6.6603774
Min length3

Characters and Unicode

Total characters1059
Distinct characters195
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

Unique159 ?
Unique (%)100.0%

Sample

1st row75플란트신동일치과
2nd row8020치과의원
3rd row가톨릭정형외과
4th row감초당한의원
5th row강경 삼성내과소아과의원
ValueCountFrequency (%)
75플란트신동일치과 1
 
0.6%
정산부인과 1
 
0.6%
이승민정신과의원 1
 
0.6%
원일한의원 1
 
0.6%
육군훈련소지구병원 1
 
0.6%
육군훈련소한의원 1
 
0.6%
윤치과의원 1
 
0.6%
이내과의원 1
 
0.6%
이레비뇨기과의원 1
 
0.6%
이상권한의원 1
 
0.6%
Other values (152) 152
93.8%
2024-01-10T07:47:03.306364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 153
 
14.4%
의 144
 
13.6%
과 84
 
7.9%
한 46
 
4.3%
치 33
 
3.1%
산 16
 
1.5%
정 15
 
1.4%
병 15
 
1.4%
연 14
 
1.3%
이 14
 
1.3%
Other values (185) 525
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1050
99.2%
Decimal Number 6
 
0.6%
Space Separator 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 153
 
14.6%
의 144
 
13.7%
과 84
 
8.0%
한 46
 
4.4%
치 33
 
3.1%
산 16
 
1.5%
정 15
 
1.4%
병 15
 
1.4%
연 14
 
1.3%
이 14
 
1.3%
Other values (179) 516
49.1%
Decimal Number
ValueCountFrequency (%)
0 2
33.3%
7 1
16.7%
2 1
16.7%
8 1
16.7%
5 1
16.7%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1050
99.2%
Common 9
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 153
 
14.6%
의 144
 
13.7%
과 84
 
8.0%
한 46
 
4.4%
치 33
 
3.1%
산 16
 
1.5%
정 15
 
1.4%
병 15
 
1.4%
연 14
 
1.3%
이 14
 
1.3%
Other values (179) 516
49.1%
Common
ValueCountFrequency (%)
3
33.3%
0 2
22.2%
7 1
 
11.1%
2 1
 
11.1%
8 1
 
11.1%
5 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1050
99.2%
ASCII 9
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 153
 
14.6%
의 144
 
13.7%
과 84
 
8.0%
한 46
 
4.4%
치 33
 
3.1%
산 16
 
1.5%
정 15
 
1.4%
병 15
 
1.4%
연 14
 
1.3%
이 14
 
1.3%
Other values (179) 516
49.1%
ASCII
ValueCountFrequency (%)
3
33.3%
0 2
22.2%
7 1
 
11.1%
2 1
 
11.1%
8 1
 
11.1%
5 1
 
11.1%

의료기관구분
Categorical

Distinct7
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
의원
76 
한의원
36 
치과의원
32 
일반요양병원
11 
병원
 
2
Other values (2)
 
2

Length

Max length6
Median length4
Mean length2.9308176
Min length2

Unique

Unique2 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
의원 76
47.8%
한의원 36
22.6%
치과의원 32
20.1%
일반요양병원 11
 
6.9%
병원 2
 
1.3%
종합병원 1
 
0.6%
정신병원 1
 
0.6%

Length

2024-01-10T07:47:03.433268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:47:03.540338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 76
47.8%
한의원 36
22.6%
치과의원 32
20.1%
일반요양병원 11
 
6.9%
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
17 
연산면
 
9
부창동
 
4
Other values (5)
 
10

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
취암동 101
63.5%
강경읍 18
 
11.3%
연무읍 17
 
10.7%
연산면 9
 
5.7%
부창동 4
 
2.5%
양촌면 4
 
2.5%
성동면 2
 
1.3%
상월면 2
 
1.3%
벌곡면 1
 
0.6%
부적면 1
 
0.6%

Length

2024-01-10T07:47:03.648344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:47:03.772324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취암동 101
63.5%
강경읍 18
 
11.3%
연무읍 17
 
10.7%
연산면 9
 
5.7%
부창동 4
 
2.5%
양촌면 4
 
2.5%
성동면 2
 
1.3%
상월면 2
 
1.3%
벌곡면 1
 
0.6%
부적면 1
 
0.6%

소재지도로명주소
Text

Distinct129
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-10T07:47:03.977380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length19.100629
Min length15

Characters and Unicode

Total characters3037
Distinct characters72
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

Unique112 ?
Unique (%)70.4%

Sample

1st row충청남도 논산시 중앙로 473-1
2nd row충청남도 논산시 해월로 174
3rd row충청남도 논산시 계백로 997
4th row충청남도 논산시 중앙로480번길 8
5th row충청남도 논산시 강경읍 계백로 152-1
ValueCountFrequency (%)
충청남도 159
23.0%
논산시 159
23.0%
중앙로 29
 
4.2%
계백로 22
 
3.2%
강경읍 18
 
2.6%
연무읍 17
 
2.5%
해월로 15
 
2.2%
2 11
 
1.6%
중앙로480번길 9
 
1.3%
연산면 9
 
1.3%
Other values (148) 242
35.1%
2024-01-10T07:47:04.277493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
531
17.5%
산 177
 
5.8%
시 170
 
5.6%
청 161
 
5.3%
논 160
 
5.3%
충 159
 
5.2%
남 159
 
5.2%
도 159
 
5.2%
로 155
 
5.1%
1 147
 
4.8%
Other values (62) 1059
34.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1875
61.7%
Decimal Number 595
 
19.6%
Space Separator 531
 
17.5%
Dash Punctuation 36
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 177
 
9.4%
시 170
 
9.1%
청 161
 
8.6%
논 160
 
8.5%
충 159
 
8.5%
남 159
 
8.5%
도 159
 
8.5%
로 155
 
8.3%
길 57
 
3.0%
번 53
 
2.8%
Other values (50) 465
24.8%
Decimal Number
ValueCountFrequency (%)
1 147
24.7%
4 86
14.5%
2 69
11.6%
0 47
 
7.9%
8 47
 
7.9%
7 42
 
7.1%
6 40
 
6.7%
9 40
 
6.7%
3 39
 
6.6%
5 38
 
6.4%
Space Separator
ValueCountFrequency (%)
531
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1875
61.7%
Common 1162
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 177
 
9.4%
시 170
 
9.1%
청 161
 
8.6%
논 160
 
8.5%
충 159
 
8.5%
남 159
 
8.5%
도 159
 
8.5%
로 155
 
8.3%
길 57
 
3.0%
번 53
 
2.8%
Other values (50) 465
24.8%
Common
ValueCountFrequency (%)
531
45.7%
1 147
 
12.7%
4 86
 
7.4%
2 69
 
5.9%
0 47
 
4.0%
8 47
 
4.0%
7 42
 
3.6%
6 40
 
3.4%
9 40
 
3.4%
3 39
 
3.4%
Other values (2) 74
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1875
61.7%
ASCII 1162
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
531
45.7%
1 147
 
12.7%
4 86
 
7.4%
2 69
 
5.9%
0 47
 
4.0%
8 47
 
4.0%
7 42
 
3.6%
6 40
 
3.4%
9 40
 
3.4%
3 39
 
3.4%
Other values (2) 74
 
6.4%
Hangul
ValueCountFrequency (%)
산 177
 
9.4%
시 170
 
9.1%
청 161
 
8.6%
논 160
 
8.5%
충 159
 
8.5%
남 159
 
8.5%
도 159
 
8.5%
로 155
 
8.3%
길 57
 
3.0%
번 53
 
2.8%
Other values (50) 465
24.8%

소재지지번주소
Text

Distinct129
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-10T07:47:04.570111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length18.874214
Min length15

Characters and Unicode

Total characters3001
Distinct characters65
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

Unique112 ?
Unique (%)70.4%

Sample

1st row충청남도 논산시 반월동 159
2nd row충청남도 논산시 반월동 70-4
3rd row충청남도 논산시 취암동 606-10
4th row충청남도 논산시 반월동 94-3
5th row충청남도 논산시 강경읍 대흥리 23-9
ValueCountFrequency (%)
충청남도 159
23.0%
논산시 159
23.0%
취암동 37
 
5.4%
반월동 36
 
5.2%
화지동 23
 
3.3%
강경읍 18
 
2.6%
연무읍 17
 
2.5%
대흥리 13
 
1.9%
연산면 9
 
1.3%
안심리 9
 
1.3%
Other values (152) 210
30.4%
2024-01-10T07:47:04.992791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
531
17.7%
산 181
 
6.0%
청 161
 
5.4%
충 159
 
5.3%
남 159
 
5.3%
도 159
 
5.3%
논 159
 
5.3%
시 159
 
5.3%
- 139
 
4.6%
1 133
 
4.4%
Other values (55) 1061
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1748
58.2%
Decimal Number 583
 
19.4%
Space Separator 531
 
17.7%
Dash Punctuation 139
 
4.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 181
10.4%
청 161
 
9.2%
충 159
 
9.1%
남 159
 
9.1%
도 159
 
9.1%
논 159
 
9.1%
시 159
 
9.1%
동 114
 
6.5%
리 54
 
3.1%
월 38
 
2.2%
Other values (43) 405
23.2%
Decimal Number
ValueCountFrequency (%)
1 133
22.8%
6 77
13.2%
2 61
10.5%
4 53
 
9.1%
8 53
 
9.1%
3 53
 
9.1%
7 45
 
7.7%
0 44
 
7.5%
9 38
 
6.5%
5 26
 
4.5%
Space Separator
ValueCountFrequency (%)
531
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 139
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1748
58.2%
Common 1253
41.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 181
10.4%
청 161
 
9.2%
충 159
 
9.1%
남 159
 
9.1%
도 159
 
9.1%
논 159
 
9.1%
시 159
 
9.1%
동 114
 
6.5%
리 54
 
3.1%
월 38
 
2.2%
Other values (43) 405
23.2%
Common
ValueCountFrequency (%)
531
42.4%
- 139
 
11.1%
1 133
 
10.6%
6 77
 
6.1%
2 61
 
4.9%
4 53
 
4.2%
8 53
 
4.2%
3 53
 
4.2%
7 45
 
3.6%
0 44
 
3.5%
Other values (2) 64
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1748
58.2%
ASCII 1253
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
531
42.4%
- 139
 
11.1%
1 133
 
10.6%
6 77
 
6.1%
2 61
 
4.9%
4 53
 
4.2%
8 53
 
4.2%
3 53
 
4.2%
7 45
 
3.6%
0 44
 
3.5%
Other values (2) 64
 
5.1%
Hangul
ValueCountFrequency (%)
산 181
10.4%
청 161
 
9.2%
충 159
 
9.1%
남 159
 
9.1%
도 159
 
9.1%
논 159
 
9.1%
시 159
 
9.1%
동 114
 
6.5%
리 54
 
3.1%
월 38
 
2.2%
Other values (43) 405
23.2%

전화번호
Text

UNIQUE 

Distinct159
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-10T07:47:05.224337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.981132
Min length9

Characters and Unicode

Total characters1905
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

Unique159 ?
Unique (%)100.0%

Sample

1st row041-735-3828
2nd row041-733-8020
3rd row041-733-7533
4th row041-732-1080
5th row041-745-7119
ValueCountFrequency (%)
041-735-3828 1
 
0.6%
041-735-7528 1
 
0.6%
041-734-9060 1
 
0.6%
041-730-8534 1
 
0.6%
1688-9157 1
 
0.6%
041-732-2875 1
 
0.6%
041-742-4677 1
 
0.6%
041-733-5275 1
 
0.6%
041-733-7757 1
 
0.6%
041-734-5575 1
 
0.6%
Other values (149) 149
93.7%
2024-01-10T07:47:05.567916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 317
16.6%
7 259
13.6%
0 251
13.2%
4 251
13.2%
1 232
12.2%
3 185
9.7%
5 137
7.2%
8 89
 
4.7%
2 85
 
4.5%
6 63
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1588
83.4%
Dash Punctuation 317
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 259
16.3%
0 251
15.8%
4 251
15.8%
1 232
14.6%
3 185
11.6%
5 137
8.6%
8 89
 
5.6%
2 85
 
5.4%
6 63
 
4.0%
9 36
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 317
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1905
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 317
16.6%
7 259
13.6%
0 251
13.2%
4 251
13.2%
1 232
12.2%
3 185
9.7%
5 137
7.2%
8 89
 
4.7%
2 85
 
4.5%
6 63
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1905
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 317
16.6%
7 259
13.6%
0 251
13.2%
4 251
13.2%
1 232
12.2%
3 185
9.7%
5 137
7.2%
8 89
 
4.7%
2 85
 
4.5%
6 63
 
3.3%

Correlations

2024-01-10T07:47:05.655336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관구분행정동
의료기관구분1.0000.079
행정동0.0791.000
2024-01-10T07:47:05.726074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동의료기관구분
행정동1.0000.034
의료기관구분0.0341.000
2024-01-10T07:47:05.799991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관구분행정동
의료기관구분1.0000.034
행정동0.0341.000

Missing values

2024-01-10T07:47:02.718044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:47:02.818286image/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
075플란트신동일치과치과의원취암동충청남도 논산시 중앙로 473-1충청남도 논산시 반월동 159041-735-3828
18020치과의원치과의원취암동충청남도 논산시 해월로 174충청남도 논산시 반월동 70-4041-733-8020
2가톨릭정형외과의원취암동충청남도 논산시 계백로 997충청남도 논산시 취암동 606-10041-733-7533
3감초당한의원한의원취암동충청남도 논산시 중앙로480번길 8충청남도 논산시 반월동 94-3041-732-1080
4강경 삼성내과소아과의원의원강경읍충청남도 논산시 강경읍 계백로 152-1충청남도 논산시 강경읍 대흥리 23-9041-745-7119
5강경성내과의원의원강경읍충청남도 논산시 강경읍 계백로 115충청남도 논산시 강경읍 대흥리 16-10041-745-0088
6강경연세치과의원치과의원강경읍충청남도 논산시 강경읍 계백로 116-1충청남도 논산시 강경읍 대흥리 16-11041-745-8228
7강경치과의원치과의원강경읍충청남도 논산시 강경읍 계백로 130-2충청남도 논산시 강경읍 대흥리 19-2041-745-4816
8강경효사랑요양병원일반요양병원강경읍충청남도 논산시 강경읍 여강로 1294충청남도 논산시 강경읍 채산리 430-2041-745-1500
9강대홍치과의원치과의원취암동충청남도 논산시 해월로168번길 2충청남도 논산시 반월동 66-7041-733-7199
의료기관명의료기관구분행정동소재지도로명주소소재지지번주소전화번호
149햇님쉼터한의원한의원연산면충청남도 논산시 연산면 선비로821번길 104충청남도 논산시 연산면 사포리 138041-734-5277
150행림의원의원취암동충청남도 논산시 중앙로 487충청남도 논산시 화지동 102041-736-6677
151행복한연합의원의원취암동충청남도 논산시 중앙로480번길 12충청남도 논산시 반월동 89-2041-435-7153
152행복한요양병원일반요양병원부적면충청남도 논산시 부적면 계백로 1487충청남도 논산시 부적면 마구평리 9-44041-736-3000
153향기치과의원치과의원취암동충청남도 논산시 해월로167번길 4-1충청남도 논산시 반월동 68-8041-734-7528
154현대이비인후과의원의원취암동충청남도 논산시 중앙로 424충청남도 논산시 취암동 1046-6041-736-7582
155현대중앙의원의원취암동충청남도 논산시 중앙로480번길 21충청남도 논산시 화지동 63-1041-735-8806
156형제한의원한의원연무읍충청남도 논산시 연무읍 안심로 112충청남도 논산시 연무읍 동산리 897-7041-742-4001
157활력쌩쌩한의원한의원취암동충청남도 논산시 중앙로480번길 17충청남도 논산시 화지동 66-1041-735-9588
158황산의원의원취암동충청남도 논산시 중앙로 425충청남도 논산시 취암동 176-5041-733-5566