Overview

Dataset statistics

Number of variables6
Number of observations160
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 22:46:54.045477
Analysis finished2024-01-09 22:46:54.439724
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관명
Text

UNIQUE 

Distinct160
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-10T07:46:54.627819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length6.68125
Min length3

Characters and Unicode

Total characters1069
Distinct characters196
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

Unique160 ?
Unique (%)100.0%

Sample

1st row서울한의원
2nd row백제종합병원
3rd row서한의원
4th row이한의원
5th row김순겸치과의원
ValueCountFrequency (%)
서울한의원 1
 
0.6%
논산한의원 1
 
0.6%
예향요양병원 1
 
0.6%
이레비뇨기과의원 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%
Other values (153) 153
93.9%
2024-01-10T07:46:54.985200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
154
 
14.4%
146
 
13.7%
85
 
8.0%
47
 
4.4%
33
 
3.1%
16
 
1.5%
15
 
1.4%
15
 
1.4%
14
 
1.3%
14
 
1.3%
Other values (186) 530
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1060
99.2%
Decimal Number 6
 
0.6%
Space Separator 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
154
 
14.5%
146
 
13.8%
85
 
8.0%
47
 
4.4%
33
 
3.1%
16
 
1.5%
15
 
1.4%
15
 
1.4%
14
 
1.3%
14
 
1.3%
Other values (180) 521
49.2%
Decimal Number
ValueCountFrequency (%)
0 2
33.3%
7 1
16.7%
5 1
16.7%
8 1
16.7%
2 1
16.7%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1060
99.2%
Common 9
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
154
 
14.5%
146
 
13.8%
85
 
8.0%
47
 
4.4%
33
 
3.1%
16
 
1.5%
15
 
1.4%
15
 
1.4%
14
 
1.3%
14
 
1.3%
Other values (180) 521
49.2%
Common
ValueCountFrequency (%)
3
33.3%
0 2
22.2%
7 1
 
11.1%
5 1
 
11.1%
8 1
 
11.1%
2 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1060
99.2%
ASCII 9
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
154
 
14.5%
146
 
13.8%
85
 
8.0%
47
 
4.4%
33
 
3.1%
16
 
1.5%
15
 
1.4%
15
 
1.4%
14
 
1.3%
14
 
1.3%
Other values (180) 521
49.2%
ASCII
ValueCountFrequency (%)
3
33.3%
0 2
22.2%
7 1
 
11.1%
5 1
 
11.1%
8 1
 
11.1%
2 1
 
11.1%
Distinct7
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
의원
77 
한의원
37 
치과의원
32 
일반요양병원
10 
병원
 
2
Other values (2)
 
2

Length

Max length6
Median length4
Mean length2.90625
Min length2

Unique

Unique2 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
의원 77
48.1%
한의원 37
23.1%
치과의원 32
20.0%
일반요양병원 10
 
6.2%
병원 2
 
1.2%
종합병원 1
 
0.6%
정신병원 1
 
0.6%

Length

2024-01-10T07:46:55.141013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:46:55.243239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 77
48.1%
한의원 37
23.1%
치과의원 32
20.0%
일반요양병원 10
 
6.2%
병원 2
 
1.2%
종합병원 1
 
0.6%
정신병원 1
 
0.6%

행정동
Categorical

Distinct10
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
취암동
104 
강경읍
18 
연무읍
16 
연산면
 
9
부창동
 
4
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 104
65.0%
강경읍 18
 
11.2%
연무읍 16
 
10.0%
연산면 9
 
5.6%
부창동 4
 
2.5%
양촌면 4
 
2.5%
상월면 2
 
1.2%
성동면 1
 
0.6%
벌곡면 1
 
0.6%
부적면 1
 
0.6%

Length

2024-01-10T07:46:55.378760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:46:55.505999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취암동 104
65.0%
강경읍 18
 
11.2%
연무읍 16
 
10.0%
연산면 9
 
5.6%
부창동 4
 
2.5%
양촌면 4
 
2.5%
상월면 2
 
1.2%
성동면 1
 
0.6%
벌곡면 1
 
0.6%
부적면 1
 
0.6%
Distinct130
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-10T07:46:55.721412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length19.01875
Min length15

Characters and Unicode

Total characters3043
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

Unique113 ?
Unique (%)70.6%

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 중앙로480번길 1
ValueCountFrequency (%)
충청남도 160
23.1%
논산시 160
23.1%
중앙로 31
 
4.5%
계백로 22
 
3.2%
강경읍 18
 
2.6%
연무읍 16
 
2.3%
해월로 15
 
2.2%
2 11
 
1.6%
연산면 9
 
1.3%
중앙로480번길 9
 
1.3%
Other values (149) 241
34.8%
2024-01-10T07:46:56.232270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
532
17.5%
177
 
5.8%
171
 
5.6%
162
 
5.3%
160
 
5.3%
160
 
5.3%
160
 
5.3%
160
 
5.3%
156
 
5.1%
1 147
 
4.8%
Other values (61) 1058
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1879
61.7%
Decimal Number 597
 
19.6%
Space Separator 532
 
17.5%
Dash Punctuation 35
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
177
 
9.4%
171
 
9.1%
162
 
8.6%
160
 
8.5%
160
 
8.5%
160
 
8.5%
160
 
8.5%
156
 
8.3%
58
 
3.1%
54
 
2.9%
Other values (49) 461
24.5%
Decimal Number
ValueCountFrequency (%)
1 147
24.6%
4 88
14.7%
2 71
11.9%
8 48
 
8.0%
0 44
 
7.4%
5 41
 
6.9%
6 41
 
6.9%
7 41
 
6.9%
3 38
 
6.4%
9 38
 
6.4%
Space Separator
ValueCountFrequency (%)
532
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1879
61.7%
Common 1164
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
177
 
9.4%
171
 
9.1%
162
 
8.6%
160
 
8.5%
160
 
8.5%
160
 
8.5%
160
 
8.5%
156
 
8.3%
58
 
3.1%
54
 
2.9%
Other values (49) 461
24.5%
Common
ValueCountFrequency (%)
532
45.7%
1 147
 
12.6%
4 88
 
7.6%
2 71
 
6.1%
8 48
 
4.1%
0 44
 
3.8%
5 41
 
3.5%
6 41
 
3.5%
7 41
 
3.5%
3 38
 
3.3%
Other values (2) 73
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1879
61.7%
ASCII 1164
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
532
45.7%
1 147
 
12.6%
4 88
 
7.6%
2 71
 
6.1%
8 48
 
4.1%
0 44
 
3.8%
5 41
 
3.5%
6 41
 
3.5%
7 41
 
3.5%
3 38
 
3.3%
Other values (2) 73
 
6.3%
Hangul
ValueCountFrequency (%)
177
 
9.4%
171
 
9.1%
162
 
8.6%
160
 
8.5%
160
 
8.5%
160
 
8.5%
160
 
8.5%
156
 
8.3%
58
 
3.1%
54
 
2.9%
Other values (49) 461
24.5%
Distinct130
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-10T07:46:56.477664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length21.80625
Min length18

Characters and Unicode

Total characters3489
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

Unique113 ?
Unique (%)70.6%

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 105-4번지
ValueCountFrequency (%)
충청남도 160
23.1%
논산시 160
23.1%
반월동 37
 
5.3%
취암동 37
 
5.3%
화지동 23
 
3.3%
강경읍 18
 
2.6%
연무읍 16
 
2.3%
대흥리 13
 
1.9%
연산면 9
 
1.3%
안심리 9
 
1.3%
Other values (150) 210
30.3%
2024-01-10T07:46:56.862787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
691
19.8%
185
 
5.3%
181
 
5.2%
162
 
4.6%
160
 
4.6%
160
 
4.6%
160
 
4.6%
160
 
4.6%
160
 
4.6%
160
 
4.6%
Other values (54) 1310
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2070
59.3%
Space Separator 691
 
19.8%
Decimal Number 588
 
16.9%
Dash Punctuation 140
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
185
 
8.9%
181
 
8.7%
162
 
7.8%
160
 
7.7%
160
 
7.7%
160
 
7.7%
160
 
7.7%
160
 
7.7%
160
 
7.7%
115
 
5.6%
Other values (42) 467
22.6%
Decimal Number
ValueCountFrequency (%)
1 135
23.0%
6 78
13.3%
2 64
10.9%
3 55
9.4%
8 52
 
8.8%
4 52
 
8.8%
0 44
 
7.5%
7 43
 
7.3%
9 39
 
6.6%
5 26
 
4.4%
Space Separator
ValueCountFrequency (%)
691
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2070
59.3%
Common 1419
40.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
185
 
8.9%
181
 
8.7%
162
 
7.8%
160
 
7.7%
160
 
7.7%
160
 
7.7%
160
 
7.7%
160
 
7.7%
160
 
7.7%
115
 
5.6%
Other values (42) 467
22.6%
Common
ValueCountFrequency (%)
691
48.7%
- 140
 
9.9%
1 135
 
9.5%
6 78
 
5.5%
2 64
 
4.5%
3 55
 
3.9%
8 52
 
3.7%
4 52
 
3.7%
0 44
 
3.1%
7 43
 
3.0%
Other values (2) 65
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2070
59.3%
ASCII 1419
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
691
48.7%
- 140
 
9.9%
1 135
 
9.5%
6 78
 
5.5%
2 64
 
4.5%
3 55
 
3.9%
8 52
 
3.7%
4 52
 
3.7%
0 44
 
3.1%
7 43
 
3.0%
Other values (2) 65
 
4.6%
Hangul
ValueCountFrequency (%)
185
 
8.9%
181
 
8.7%
162
 
7.8%
160
 
7.7%
160
 
7.7%
160
 
7.7%
160
 
7.7%
160
 
7.7%
160
 
7.7%
115
 
5.6%
Other values (42) 467
22.6%

전화번호
Text

UNIQUE 

Distinct160
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-10T07:46:57.057839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.98125
Min length9

Characters and Unicode

Total characters1917
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

Unique160 ?
Unique (%)100.0%

Sample

1st row041-733-2963
2nd row041-730-8888
3rd row041-735-4130
4th row041-735-3270
5th row041-732-2340
ValueCountFrequency (%)
041-733-2963 1
 
0.6%
041-730-8888 1
 
0.6%
041-736-7584 1
 
0.6%
041-733-5275 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%
Other values (150) 150
93.8%
2024-01-10T07:46:57.364622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 319
16.6%
7 261
13.6%
4 252
13.1%
0 250
13.0%
1 233
12.2%
3 186
9.7%
5 138
7.2%
8 91
 
4.7%
2 88
 
4.6%
6 63
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1598
83.4%
Dash Punctuation 319
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 261
16.3%
4 252
15.8%
0 250
15.6%
1 233
14.6%
3 186
11.6%
5 138
8.6%
8 91
 
5.7%
2 88
 
5.5%
6 63
 
3.9%
9 36
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 319
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1917
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 319
16.6%
7 261
13.6%
4 252
13.1%
0 250
13.0%
1 233
12.2%
3 186
9.7%
5 138
7.2%
8 91
 
4.7%
2 88
 
4.6%
6 63
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1917
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 319
16.6%
7 261
13.6%
4 252
13.1%
0 250
13.0%
1 233
12.2%
3 186
9.7%
5 138
7.2%
8 91
 
4.7%
2 88
 
4.6%
6 63
 
3.3%

Correlations

2024-01-10T07:46:57.451920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관구분행정동
의료기관구분1.0000.000
행정동0.0001.000
2024-01-10T07:46:57.527529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동의료기관구분
행정동1.0000.000
의료기관구분0.0001.000
2024-01-10T07:46:57.599998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관구분행정동
의료기관구분1.0000.000
행정동0.0001.000

Missing values

2024-01-10T07:46:54.312578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:46:54.403561image/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
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