Overview

Dataset statistics

Number of variables4
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory868.0 B
Average record size in memory37.7 B

Variable types

Categorical1
Text3

Dataset

Description속초시 관내 한의원 현황입니다.
Author강원도 속초시
URLhttps://www.data.go.kr/data/3070946/fileData.do

Alerts

구 분 has constant value ""Constant
기 관 명 has unique valuesUnique
주 소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:25:41.705101
Analysis finished2023-12-12 06:25:42.013757
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구 분
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
한의원
23 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한의원 23
100.0%

Length

2023-12-12T15:25:42.088128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:25:42.193265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한의원 23
100.0%

기 관 명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T15:25:42.388210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.7391304
Min length4

Characters and Unicode

Total characters132
Distinct characters51
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

Unique23 ?
Unique (%)100.0%

Sample

1st row새로운한의원
2nd row속초가좋은한의원
3rd row대활한의원
4th row중앙한의원
5th row서울경희한의원
ValueCountFrequency (%)
새로운한의원 1
 
4.2%
속초가좋은한의원 1
 
4.2%
새생명한의원 1
 
4.2%
구명한의원 1
 
4.2%
동인당한의원 1
 
4.2%
경희한의원 1
 
4.2%
유운수한의원 1
 
4.2%
하나한의원 1
 
4.2%
명한의원 1
 
4.2%
대추나무한의원 1
 
4.2%
Other values (14) 14
58.3%
2023-12-12T15:25:42.758759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
한 24
18.2%
원 24
18.2%
의 23
17.4%
명 3
 
2.3%
중 3
 
2.3%
새 2
 
1.5%
대 2
 
1.5%
희 2
 
1.5%
경 2
 
1.5%
동 2
 
1.5%
Other values (41) 45
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 131
99.2%
Space Separator 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 24
18.3%
원 24
18.3%
의 23
17.6%
명 3
 
2.3%
중 3
 
2.3%
새 2
 
1.5%
대 2
 
1.5%
희 2
 
1.5%
경 2
 
1.5%
동 2
 
1.5%
Other values (40) 44
33.6%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 131
99.2%
Common 1
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 24
18.3%
원 24
18.3%
의 23
17.6%
명 3
 
2.3%
중 3
 
2.3%
새 2
 
1.5%
대 2
 
1.5%
희 2
 
1.5%
경 2
 
1.5%
동 2
 
1.5%
Other values (40) 44
33.6%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 131
99.2%
ASCII 1
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
한 24
18.3%
원 24
18.3%
의 23
17.6%
명 3
 
2.3%
중 3
 
2.3%
새 2
 
1.5%
대 2
 
1.5%
희 2
 
1.5%
경 2
 
1.5%
동 2
 
1.5%
Other values (40) 44
33.6%
ASCII
ValueCountFrequency (%)
1
100.0%

주 소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T15:25:42.998873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length28
Mean length23.565217
Min length20

Characters and Unicode

Total characters542
Distinct characters57
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row강원도 속초시 중앙로 146 (중앙동)
2nd row강원도 속초시 철새길 37, 4층 (조양동)
3rd row강원도 속초시 영랑해안길 95, 2층 (영랑동)
4th row강원도 속초시 중앙로147번길 16, 2층 31,32호 (중앙동, 속초종합중앙시장)
5th row강원도 속초시 동해대로 4254 (교동)
ValueCountFrequency (%)
강원도 23
18.7%
속초시 23
18.7%
교동 8
 
6.5%
중앙로 7
 
5.7%
동해대로 7
 
5.7%
조양동 4
 
3.3%
2층 4
 
3.3%
청학동 4
 
3.3%
금호동 2
 
1.6%
중앙동 2
 
1.6%
Other values (38) 39
31.7%
2023-12-12T15:25:43.385719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
100
18.5%
동 30
 
5.5%
도 24
 
4.4%
속 24
 
4.4%
초 24
 
4.4%
시 24
 
4.4%
강 23
 
4.2%
) 23
 
4.2%
( 23
 
4.2%
원 23
 
4.2%
Other values (47) 224
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 298
55.0%
Space Separator 100
 
18.5%
Decimal Number 87
 
16.1%
Close Punctuation 23
 
4.2%
Open Punctuation 23
 
4.2%
Other Punctuation 7
 
1.3%
Dash Punctuation 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 30
 
10.1%
도 24
 
8.1%
속 24
 
8.1%
초 24
 
8.1%
시 24
 
8.1%
강 23
 
7.7%
원 23
 
7.7%
로 20
 
6.7%
앙 11
 
3.7%
중 11
 
3.7%
Other values (32) 84
28.2%
Decimal Number
ValueCountFrequency (%)
2 19
21.8%
1 15
17.2%
4 12
13.8%
3 10
11.5%
7 10
11.5%
9 6
 
6.9%
5 5
 
5.7%
0 4
 
4.6%
6 3
 
3.4%
8 3
 
3.4%
Space Separator
ValueCountFrequency (%)
100
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 298
55.0%
Common 244
45.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 30
 
10.1%
도 24
 
8.1%
속 24
 
8.1%
초 24
 
8.1%
시 24
 
8.1%
강 23
 
7.7%
원 23
 
7.7%
로 20
 
6.7%
앙 11
 
3.7%
중 11
 
3.7%
Other values (32) 84
28.2%
Common
ValueCountFrequency (%)
100
41.0%
) 23
 
9.4%
( 23
 
9.4%
2 19
 
7.8%
1 15
 
6.1%
4 12
 
4.9%
3 10
 
4.1%
7 10
 
4.1%
, 7
 
2.9%
9 6
 
2.5%
Other values (5) 19
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 298
55.0%
ASCII 244
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
100
41.0%
) 23
 
9.4%
( 23
 
9.4%
2 19
 
7.8%
1 15
 
6.1%
4 12
 
4.9%
3 10
 
4.1%
7 10
 
4.1%
, 7
 
2.9%
9 6
 
2.5%
Other values (5) 19
 
7.8%
Hangul
ValueCountFrequency (%)
동 30
 
10.1%
도 24
 
8.1%
속 24
 
8.1%
초 24
 
8.1%
시 24
 
8.1%
강 23
 
7.7%
원 23
 
7.7%
로 20
 
6.7%
앙 11
 
3.7%
중 11
 
3.7%
Other values (32) 84
28.2%

전화번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T15:25:43.624830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters276
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

Unique23 ?
Unique (%)100.0%

Sample

1st row033-632-1075
2nd row033-636-3800
3rd row033-632-6964
4th row033-637-9975
5th row033-638-7577
ValueCountFrequency (%)
033-632-1075 1
 
4.3%
033-633-7582 1
 
4.3%
033-633-9988 1
 
4.3%
033-633-3036 1
 
4.3%
033-633-9222 1
 
4.3%
033-635-2920 1
 
4.3%
033-636-3345 1
 
4.3%
033-633-0206 1
 
4.3%
033-636-1211 1
 
4.3%
033-636-3550 1
 
4.3%
Other values (13) 13
56.5%
2023-12-12T15:25:43.994634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 83
30.1%
- 46
16.7%
0 36
13.0%
6 33
 
12.0%
5 17
 
6.2%
7 16
 
5.8%
1 13
 
4.7%
2 11
 
4.0%
9 10
 
3.6%
8 8
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 83
36.1%
0 36
15.7%
6 33
 
14.3%
5 17
 
7.4%
7 16
 
7.0%
1 13
 
5.7%
2 11
 
4.8%
9 10
 
4.3%
8 8
 
3.5%
4 3
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 83
30.1%
- 46
16.7%
0 36
13.0%
6 33
 
12.0%
5 17
 
6.2%
7 16
 
5.8%
1 13
 
4.7%
2 11
 
4.0%
9 10
 
3.6%
8 8
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 83
30.1%
- 46
16.7%
0 36
13.0%
6 33
 
12.0%
5 17
 
6.2%
7 16
 
5.8%
1 13
 
4.7%
2 11
 
4.0%
9 10
 
3.6%
8 8
 
2.9%

Correlations

2023-12-12T15:25:44.124401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기 관 명주 소전화번호
기 관 명1.0001.0001.000
주 소1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2023-12-12T15:25:41.896307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:25:41.980005image/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

구 분기 관 명주 소전화번호
0한의원새로운한의원강원도 속초시 중앙로 146 (중앙동)033-632-1075
1한의원속초가좋은한의원강원도 속초시 철새길 37, 4층 (조양동)033-636-3800
2한의원대활한의원강원도 속초시 영랑해안길 95, 2층 (영랑동)033-632-6964
3한의원중앙한의원강원도 속초시 중앙로147번길 16, 2층 31,32호 (중앙동, 속초종합중앙시장)033-637-9975
4한의원서울경희한의원강원도 속초시 동해대로 4254 (교동)033-638-7577
5한의원중정한의원강원도 속초시 설악산로 285 (도문동)033-636-3119
6한의원속초시민 한의원강원도 속초시 영랑로7길 13 (영랑동)033-635-1075
7한의원주심한의원강원도 속초시 선사로 26-2 (조양동)033-633-1075
8한의원광동한의원강원도 속초시 동해대로 3929 (조양동)033-636-1075
9한의원홍제한의원강원도 속초시 중앙로 120-1, 2층 (금호동)033-631-7555
구 분기 관 명주 소전화번호
13한의원신진한의원강원도 속초시 엑스포로 177 (교동)033-633-5877
14한의원대추나무한의원강원도 속초시 동해대로 4327 (교동)033-636-3550
15한의원명한의원강원도 속초시 중앙로 130-1 (금호동)033-636-1211
16한의원하나한의원강원도 속초시 청학로 27 (청학동)033-633-0206
17한의원유운수한의원강원도 속초시 먹거리1길 35-9 (교동)033-636-3345
18한의원경희한의원강원도 속초시 중앙로 24, 2층 202호 (교동)033-635-2920
19한의원동인당한의원강원도 속초시 중앙로 75 (청학동)033-633-9222
20한의원구명한의원강원도 속초시 중앙로 92 (청학동)033-633-3036
21한의원새생명한의원강원도 속초시 동해대로 4278 (교동)033-633-9988
22한의원중원한의원강원도 속초시 중앙로 108 (청학동)033-632-0994