Overview

Dataset statistics

Number of variables8
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory71.0 B

Variable types

Numeric1
Text4
Categorical2
DateTime1

Dataset

Description충청북도 증평군의 의/약업소정보입니다. 링크주소: https://www.jp.go.kr/health/prog/health/sub03_03_01/MC01/list.do ## LINK 미리보기 [![미리보기](http://curate.gimi9.com/linkview/www-data-go-kr-data-filedata-15041856?url=https%3A//www.jp.go.kr/health/prog/health/sub03_03_01/MC01/list.do&version=d7)](https://www.data.go.kr/data/15041856/fileData.do)
URLhttps://www.data.go.kr/data/15041856/fileData.do

Alerts

대표자성명 has constant value ""Constant
의약업소구분 has constant value ""Constant
데이터기준일 has constant value ""Constant
연번 has unique valuesUnique
업소명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:55:30.931311
Analysis finished2023-12-12 08:55:31.635033
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T17:55:32.064282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2023-12-12T17:55:32.207193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

업소명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T17:55:32.451404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length7.1818182
Min length4

Characters and Unicode

Total characters158
Distinct characters72
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row오케이신통의원
2nd row365우리의원
3rd row최종성소아청소년과의원
4th row삼성의원
5th row증평마취통증과의원
ValueCountFrequency (%)
오케이신통의원 1
 
4.5%
365우리의원 1
 
4.5%
성모이안내과의원 1
 
4.5%
증평요양병원 1
 
4.5%
세성가정의학과 1
 
4.5%
증평제일정형외과의원 1
 
4.5%
박찬희신경과의원 1
 
4.5%
김재기이비인후과 1
 
4.5%
속시원한내과 1
 
4.5%
조항복내과의원 1
 
4.5%
Other values (12) 12
54.5%
2023-12-12T17:55:32.847918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 19
 
12.0%
의 18
 
11.4%
과 16
 
10.1%
증 4
 
2.5%
성 4
 
2.5%
내 4
 
2.5%
이 4
 
2.5%
인 3
 
1.9%
비 3
 
1.9%
정 3
 
1.9%
Other values (62) 80
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 155
98.1%
Decimal Number 3
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 19
 
12.3%
의 18
 
11.6%
과 16
 
10.3%
증 4
 
2.6%
성 4
 
2.6%
내 4
 
2.6%
이 4
 
2.6%
인 3
 
1.9%
비 3
 
1.9%
정 3
 
1.9%
Other values (59) 77
49.7%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
6 1
33.3%
5 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 155
98.1%
Common 3
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 19
 
12.3%
의 18
 
11.6%
과 16
 
10.3%
증 4
 
2.6%
성 4
 
2.6%
내 4
 
2.6%
이 4
 
2.6%
인 3
 
1.9%
비 3
 
1.9%
정 3
 
1.9%
Other values (59) 77
49.7%
Common
ValueCountFrequency (%)
3 1
33.3%
6 1
33.3%
5 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 155
98.1%
ASCII 3
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 19
 
12.3%
의 18
 
11.6%
과 16
 
10.3%
증 4
 
2.6%
성 4
 
2.6%
내 4
 
2.6%
이 4
 
2.6%
인 3
 
1.9%
비 3
 
1.9%
정 3
 
1.9%
Other values (59) 77
49.7%
ASCII
ValueCountFrequency (%)
3 1
33.3%
6 1
33.3%
5 1
33.3%

대표자성명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
미확인
22 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미확인 22
100.0%

Length

2023-12-12T17:55:32.995520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:55:33.109239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미확인 22
100.0%

의약업소구분
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
병원및의원
22 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
병원및의원 22
100.0%

Length

2023-12-12T17:55:33.219295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:55:33.335317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원및의원 22
100.0%

도로명주소
Text

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T17:55:33.525245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length21.454545
Min length19

Characters and Unicode

Total characters472
Distinct characters33
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row충청북도 증평군 증평읍 중앙로 218
2nd row충청북도 증평군 증평읍 증평로 3
3rd row충청북도 증평군 증평읍 중앙로 206-1
4th row충청북도 증평군 증평읍 중앙로 180
5th row충청북도 증평군 증평읍 중앙로 215
ValueCountFrequency (%)
충청북도 22
19.3%
증평읍 22
19.3%
증평군 22
19.3%
중앙로 15
13.2%
218 3
 
2.6%
광장로 2
 
1.8%
3 2
 
1.8%
2
 
1.8%
208 1
 
0.9%
역전로 1
 
0.9%
Other values (22) 22
19.3%
2023-12-12T17:55:33.867478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
23.7%
평 46
 
9.7%
증 45
 
9.5%
충 22
 
4.7%
청 22
 
4.7%
북 22
 
4.7%
도 22
 
4.7%
군 22
 
4.7%
읍 22
 
4.7%
로 22
 
4.7%
Other values (23) 115
24.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 289
61.2%
Space Separator 112
 
23.7%
Decimal Number 66
 
14.0%
Dash Punctuation 3
 
0.6%
Other Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 46
15.9%
증 45
15.6%
충 22
7.6%
청 22
7.6%
북 22
7.6%
도 22
7.6%
군 22
7.6%
읍 22
7.6%
로 22
7.6%
중 16
 
5.5%
Other values (10) 28
9.7%
Decimal Number
ValueCountFrequency (%)
1 18
27.3%
2 14
21.2%
8 8
12.1%
3 7
 
10.6%
0 5
 
7.6%
5 4
 
6.1%
7 4
 
6.1%
6 3
 
4.5%
4 2
 
3.0%
9 1
 
1.5%
Space Separator
ValueCountFrequency (%)
112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 289
61.2%
Common 183
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 46
15.9%
증 45
15.6%
충 22
7.6%
청 22
7.6%
북 22
7.6%
도 22
7.6%
군 22
7.6%
읍 22
7.6%
로 22
7.6%
중 16
 
5.5%
Other values (10) 28
9.7%
Common
ValueCountFrequency (%)
112
61.2%
1 18
 
9.8%
2 14
 
7.7%
8 8
 
4.4%
3 7
 
3.8%
0 5
 
2.7%
5 4
 
2.2%
7 4
 
2.2%
6 3
 
1.6%
- 3
 
1.6%
Other values (3) 5
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 289
61.2%
ASCII 183
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
112
61.2%
1 18
 
9.8%
2 14
 
7.7%
8 8
 
4.4%
3 7
 
3.8%
0 5
 
2.7%
5 4
 
2.2%
7 4
 
2.2%
6 3
 
1.6%
- 3
 
1.6%
Other values (3) 5
 
2.7%
Hangul
ValueCountFrequency (%)
평 46
15.9%
증 45
15.6%
충 22
7.6%
청 22
7.6%
북 22
7.6%
도 22
7.6%
군 22
7.6%
읍 22
7.6%
로 22
7.6%
중 16
 
5.5%
Other values (10) 28
9.7%

전화번호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T17:55:34.070361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters264
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

Unique22 ?
Unique (%)100.0%

Sample

1st row043-836-7585
2nd row043-838-0365
3rd row043-836-1126
4th row043-838-8275
5th row043-836-8279
ValueCountFrequency (%)
043-836-7585 1
 
4.5%
043-838-0365 1
 
4.5%
043-760-8585 1
 
4.5%
043-760-8885 1
 
4.5%
043-836-2121 1
 
4.5%
043-838-2600 1
 
4.5%
043-836-9771 1
 
4.5%
043-836-1551 1
 
4.5%
043-836-0512 1
 
4.5%
043-836-5838 1
 
4.5%
Other values (12) 12
54.5%
2023-12-12T17:55:34.392492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 48
18.2%
- 44
16.7%
8 43
16.3%
0 31
11.7%
4 25
9.5%
6 19
 
7.2%
7 16
 
6.1%
5 16
 
6.1%
1 11
 
4.2%
2 7
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 220
83.3%
Dash Punctuation 44
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 48
21.8%
8 43
19.5%
0 31
14.1%
4 25
11.4%
6 19
 
8.6%
7 16
 
7.3%
5 16
 
7.3%
1 11
 
5.0%
2 7
 
3.2%
9 4
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 264
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 48
18.2%
- 44
16.7%
8 43
16.3%
0 31
11.7%
4 25
9.5%
6 19
 
7.2%
7 16
 
6.1%
5 16
 
6.1%
1 11
 
4.2%
2 7
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 48
18.2%
- 44
16.7%
8 43
16.3%
0 31
11.7%
4 25
9.5%
6 19
 
7.2%
7 16
 
6.1%
5 16
 
6.1%
1 11
 
4.2%
2 7
 
2.7%

팩스번호
Text

Distinct15
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T17:55:34.544579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length8.7272727
Min length3

Characters and Unicode

Total characters192
Distinct characters14
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

Unique14 ?
Unique (%)63.6%

Sample

1st row043-836-7585
2nd row043-838-0365
3rd row043-836-1126
4th row043-838-8275
5th row043-836-8279
ValueCountFrequency (%)
미확인 8
36.4%
043-836-7585 1
 
4.5%
043-838-0365 1
 
4.5%
043-836-1126 1
 
4.5%
043-838-8275 1
 
4.5%
043-836-8279 1
 
4.5%
043-836-8333 1
 
4.5%
043-838-4544 1
 
4.5%
043-836-5077 1
 
4.5%
043-838-7501 1
 
4.5%
Other values (5) 5
22.7%
2023-12-12T17:55:34.805433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 33
17.2%
8 31
16.1%
- 28
14.6%
0 17
8.9%
4 17
8.9%
6 12
 
6.2%
7 11
 
5.7%
5 9
 
4.7%
미 8
 
4.2%
확 8
 
4.2%
Other values (4) 18
9.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 140
72.9%
Dash Punctuation 28
 
14.6%
Other Letter 24
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 33
23.6%
8 31
22.1%
0 17
12.1%
4 17
12.1%
6 12
 
8.6%
7 11
 
7.9%
5 9
 
6.4%
1 4
 
2.9%
2 3
 
2.1%
9 3
 
2.1%
Other Letter
ValueCountFrequency (%)
미 8
33.3%
확 8
33.3%
인 8
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 168
87.5%
Hangul 24
 
12.5%

Most frequent character per script

Common
ValueCountFrequency (%)
3 33
19.6%
8 31
18.5%
- 28
16.7%
0 17
10.1%
4 17
10.1%
6 12
 
7.1%
7 11
 
6.5%
5 9
 
5.4%
1 4
 
2.4%
2 3
 
1.8%
Hangul
ValueCountFrequency (%)
미 8
33.3%
확 8
33.3%
인 8
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 168
87.5%
Hangul 24
 
12.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 33
19.6%
8 31
18.5%
- 28
16.7%
0 17
10.1%
4 17
10.1%
6 12
 
7.1%
7 11
 
6.5%
5 9
 
5.4%
1 4
 
2.4%
2 3
 
1.8%
Hangul
ValueCountFrequency (%)
미 8
33.3%
확 8
33.3%
인 8
33.3%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2023-08-03 00:00:00
Maximum2023-08-03 00:00:00
2023-12-12T17:55:34.944183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:55:35.036917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T17:55:31.263941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:55:35.124955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명도로명주소전화번호팩스번호
연번1.0001.0000.9321.0000.812
업소명1.0001.0001.0001.0001.000
도로명주소0.9321.0001.0001.0000.850
전화번호1.0001.0001.0001.0001.000
팩스번호0.8121.0000.8501.0001.000

Missing values

2023-12-12T17:55:31.414855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:55:31.572816image/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

연번업소명대표자성명의약업소구분도로명주소전화번호팩스번호데이터기준일
01오케이신통의원미확인병원및의원충청북도 증평군 증평읍 중앙로 218043-836-7585043-836-75852023-08-03
12365우리의원미확인병원및의원충청북도 증평군 증평읍 증평로 3043-838-0365043-838-03652023-08-03
23최종성소아청소년과의원미확인병원및의원충청북도 증평군 증평읍 중앙로 206-1043-836-1126043-836-11262023-08-03
34삼성의원미확인병원및의원충청북도 증평군 증평읍 중앙로 180043-838-8275043-838-82752023-08-03
45증평마취통증과의원미확인병원및의원충청북도 증평군 증평읍 중앙로 215043-836-8279043-836-82792023-08-03
56연세이비인후과의원미확인병원및의원충청북도 증평군 증평읍 중앙로 218 , 5층043-836-8333043-836-83332023-08-03
67강안과의원미확인병원및의원충청북도 증평군 증평읍 중앙로 218043-838-4544043-838-45442023-08-03
78아름다운산부인과의원미확인병원및의원충청북도 증평군 증평읍 광장로 89043-836-5077043-836-50772023-08-03
89고려정형외과의원미확인병원및의원충청북도 증평군 증평읍 중앙로 231043-838-7501043-838-75012023-08-03
910한사랑연합의원미확인병원및의원충청북도 증평군 증평읍 중앙로8길 3043-838-8188043-838-81882023-08-03
연번업소명대표자성명의약업소구분도로명주소전화번호팩스번호데이터기준일
1213우외과의원미확인병원및의원충청북도 증평군 증평읍 중앙로 203043-836-7887043-836-78872023-08-03
1314조항복내과의원미확인병원및의원충청북도 증평군 증평읍 중앙로 172043-836-5838043-836-58382023-08-03
1415속시원한내과미확인병원및의원충청북도 증평군 증평읍 송산로 66043-836-0512미확인2023-08-03
1516김재기이비인후과미확인병원및의원충청북도 증평군 증평읍 중앙로 208043-836-1551미확인2023-08-03
1617박찬희신경과의원미확인병원및의원충청북도 증평군 증평읍 역전로 53043-836-9771미확인2023-08-03
1718증평제일정형외과의원미확인병원및의원충청북도 증평군 증평읍 중앙로 184-1043-838-2600미확인2023-08-03
1819세성가정의학과미확인병원및의원충청북도 증평군 증평읍 광장로 123043-836-2121미확인2023-08-03
1920증평요양병원미확인병원및의원충청북도 증평군 증평읍 중앙로 114043-760-8885미확인2023-08-03
2021성모이안내과의원미확인병원및의원충청북도 증평군 증평읍 중앙로 213 , 2층043-760-8585미확인2023-08-03
2122충용의원미확인병원및의원충청북도 증평군 증평읍 초평로 1717043-835-7103미확인2023-08-03