Overview

Dataset statistics

Number of variables5
Number of observations306
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.1 KiB
Average record size in memory40.4 B

Variable types

Text4
Categorical1

Dataset

Description서울특별시 용산구 관내의료기관 현황(병의원명, 진료과목, 전화번호, 주소, 병원종류(의원, 한의원,치과의원,병원))에 대한 데이터를 제공합니다.
Author서울특별시 용산구
URLhttps://www.data.go.kr/data/15071202/fileData.do

Alerts

병의원명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:01:04.250903
Analysis finished2023-12-12 07:01:04.674283
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

병의원명
Text

UNIQUE 

Distinct306
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-12T16:01:04.841728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length7.2647059
Min length3

Characters and Unicode

Total characters2223
Distinct characters268
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique306 ?
Unique (%)100.0%

Sample

1st row97.7비엔에치의원
2nd row강원한의원
3rd row강태욱치과의원
4th row경희미담한의원
5th row경희유엔한의원
ValueCountFrequency (%)
치과의원 2
 
0.6%
97.7비엔에치의원 1
 
0.3%
한일한의원 1
 
0.3%
트리니티내과의원 1
 
0.3%
혜광의원 1
 
0.3%
형제한의원 1
 
0.3%
허내과의원 1
 
0.3%
함께하는치과의원 1
 
0.3%
한치과의원 1
 
0.3%
한진치과의원 1
 
0.3%
Other values (305) 305
96.5%
2023-12-12T16:01:05.424962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 324
 
14.6%
의 322
 
14.5%
과 193
 
8.7%
치 107
 
4.8%
한 79
 
3.6%
이 41
 
1.8%
세 34
 
1.5%
서 30
 
1.3%
인 29
 
1.3%
연 29
 
1.3%
Other values (258) 1035
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2197
98.8%
Space Separator 10
 
0.4%
Decimal Number 6
 
0.3%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Other Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 324
 
14.7%
의 322
 
14.7%
과 193
 
8.8%
치 107
 
4.9%
한 79
 
3.6%
이 41
 
1.9%
세 34
 
1.5%
서 30
 
1.4%
인 29
 
1.3%
연 29
 
1.3%
Other values (246) 1009
45.9%
Decimal Number
ValueCountFrequency (%)
7 2
33.3%
6 1
16.7%
3 1
16.7%
9 1
16.7%
5 1
16.7%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
. 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
E 1
50.0%
W 1
50.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2197
98.8%
Common 24
 
1.1%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 324
 
14.7%
의 322
 
14.7%
과 193
 
8.8%
치 107
 
4.9%
한 79
 
3.6%
이 41
 
1.9%
세 34
 
1.5%
서 30
 
1.4%
인 29
 
1.3%
연 29
 
1.3%
Other values (246) 1009
45.9%
Common
ValueCountFrequency (%)
10
41.7%
( 3
 
12.5%
) 3
 
12.5%
7 2
 
8.3%
6 1
 
4.2%
3 1
 
4.2%
& 1
 
4.2%
9 1
 
4.2%
. 1
 
4.2%
5 1
 
4.2%
Latin
ValueCountFrequency (%)
E 1
50.0%
W 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2197
98.8%
ASCII 26
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 324
 
14.7%
의 322
 
14.7%
과 193
 
8.8%
치 107
 
4.9%
한 79
 
3.6%
이 41
 
1.9%
세 34
 
1.5%
서 30
 
1.4%
인 29
 
1.3%
연 29
 
1.3%
Other values (246) 1009
45.9%
ASCII
ValueCountFrequency (%)
10
38.5%
( 3
 
11.5%
) 3
 
11.5%
7 2
 
7.7%
6 1
 
3.8%
3 1
 
3.8%
& 1
 
3.8%
9 1
 
3.8%
. 1
 
3.8%
E 1
 
3.8%
Other values (2) 2
 
7.7%

진료과목
Text

Distinct102
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-12T16:01:05.699749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length197
Median length98
Mean length11.058824
Min length2

Characters and Unicode

Total characters3384
Distinct characters65
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

Unique81 ?
Unique (%)26.5%

Sample

1st row산부인과 피부과 성형외과
2nd row한방각과
3rd row치과
4th row한방각과
5th row한방각과
ValueCountFrequency (%)
치과 105
13.6%
내과 87
11.2%
피부과 72
 
9.3%
소아청소년과 66
 
8.5%
한방각과 62
 
8.0%
이비인후과 54
 
7.0%
정형외과 46
 
5.9%
가정의학과 37
 
4.8%
외과 32
 
4.1%
산부인과 31
 
4.0%
Other values (28) 182
23.5%
2023-12-12T16:01:06.093839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 777
23.0%
468
 
13.8%
학 138
 
4.1%
의 137
 
4.0%
소 133
 
3.9%
외 115
 
3.4%
치 112
 
3.3%
부 106
 
3.1%
정 91
 
2.7%
내 88
 
2.6%
Other values (55) 1219
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2916
86.2%
Space Separator 468
 
13.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 777
26.6%
학 138
 
4.7%
의 137
 
4.7%
소 133
 
4.6%
외 115
 
3.9%
치 112
 
3.8%
부 106
 
3.6%
정 91
 
3.1%
내 88
 
3.0%
인 85
 
2.9%
Other values (54) 1134
38.9%
Space Separator
ValueCountFrequency (%)
468
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2916
86.2%
Common 468
 
13.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 777
26.6%
학 138
 
4.7%
의 137
 
4.7%
소 133
 
4.6%
외 115
 
3.9%
치 112
 
3.8%
부 106
 
3.6%
정 91
 
3.1%
내 88
 
3.0%
인 85
 
2.9%
Other values (54) 1134
38.9%
Common
ValueCountFrequency (%)
468
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2916
86.2%
ASCII 468
 
13.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 777
26.6%
학 138
 
4.7%
의 137
 
4.7%
소 133
 
4.6%
외 115
 
3.9%
치 112
 
3.8%
부 106
 
3.6%
정 91
 
3.1%
내 88
 
3.0%
인 85
 
2.9%
Other values (54) 1134
38.9%
ASCII
ValueCountFrequency (%)
468
100.0%

전화번호
Text

Distinct304
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-12T16:01:06.378717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.117647
Min length11

Characters and Unicode

Total characters3402
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

Unique303 ?
Unique (%)99.0%

Sample

1st row02-3438-0510
2nd row02-792-1991
3rd row02-798-1126
4th row02-798-8275
5th row02-790-9939
ValueCountFrequency (%)
02-794-4438 3
 
1.0%
02-3438-0510 1
 
0.3%
02-792-5575 1
 
0.3%
02-703-8287 1
 
0.3%
02-754-4909 1
 
0.3%
02-755-0843 1
 
0.3%
02-777-8501 1
 
0.3%
02-790-7748 1
 
0.3%
02-778-0656 1
 
0.3%
02-718-1001 1
 
0.3%
Other values (294) 294
96.1%
2023-12-12T16:01:06.788330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 612
18.0%
0 544
16.0%
2 537
15.8%
7 487
14.3%
9 244
 
7.2%
5 228
 
6.7%
1 194
 
5.7%
8 170
 
5.0%
3 145
 
4.3%
4 139
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2790
82.0%
Dash Punctuation 612
 
18.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 544
19.5%
2 537
19.2%
7 487
17.5%
9 244
8.7%
5 228
8.2%
1 194
 
7.0%
8 170
 
6.1%
3 145
 
5.2%
4 139
 
5.0%
6 102
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 612
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3402
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 612
18.0%
0 544
16.0%
2 537
15.8%
7 487
14.3%
9 244
 
7.2%
5 228
 
6.7%
1 194
 
5.7%
8 170
 
5.0%
3 145
 
4.3%
4 139
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3402
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 612
18.0%
0 544
16.0%
2 537
15.8%
7 487
14.3%
9 244
 
7.2%
5 228
 
6.7%
1 194
 
5.7%
8 170
 
5.0%
3 145
 
4.3%
4 139
 
4.1%

주소
Text

Distinct219
Distinct (%)71.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-12T16:01:07.200517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length18.352941
Min length16

Characters and Unicode

Total characters5616
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

Unique172 ?
Unique (%)56.2%

Sample

1st row서울특별시 용산구 유엔빌리지길 72
2nd row서울특별시 용산구 한남대로10길 6
3rd row서울특별시 용산구 회나무로6길 5
4th row서울특별시 용산구 이촌로 224
5th row서울특별시 용산구 독서당로 86
ValueCountFrequency (%)
서울특별시 306
25.0%
용산구 306
25.0%
한강대로 58
 
4.7%
이촌로 40
 
3.3%
원효로 17
 
1.4%
보광로 16
 
1.3%
백범로 13
 
1.1%
이태원로 12
 
1.0%
후암로 12
 
1.0%
5 11
 
0.9%
Other values (199) 433
35.4%
2023-12-12T16:01:07.719520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1118
19.9%
서 317
 
5.6%
특 306
 
5.4%
별 306
 
5.4%
시 306
 
5.4%
용 306
 
5.4%
산 306
 
5.4%
구 306
 
5.4%
울 306
 
5.4%
로 305
 
5.4%
Other values (62) 1734
30.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3600
64.1%
Space Separator 1118
 
19.9%
Decimal Number 876
 
15.6%
Dash Punctuation 22
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 317
8.8%
특 306
8.5%
별 306
8.5%
시 306
8.5%
용 306
8.5%
산 306
8.5%
구 306
8.5%
울 306
8.5%
로 305
8.5%
대 92
 
2.6%
Other values (50) 744
20.7%
Decimal Number
ValueCountFrequency (%)
2 167
19.1%
1 141
16.1%
4 99
11.3%
5 89
10.2%
3 75
8.6%
9 71
8.1%
6 66
 
7.5%
7 57
 
6.5%
0 56
 
6.4%
8 55
 
6.3%
Space Separator
ValueCountFrequency (%)
1118
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3600
64.1%
Common 2016
35.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 317
8.8%
특 306
8.5%
별 306
8.5%
시 306
8.5%
용 306
8.5%
산 306
8.5%
구 306
8.5%
울 306
8.5%
로 305
8.5%
대 92
 
2.6%
Other values (50) 744
20.7%
Common
ValueCountFrequency (%)
1118
55.5%
2 167
 
8.3%
1 141
 
7.0%
4 99
 
4.9%
5 89
 
4.4%
3 75
 
3.7%
9 71
 
3.5%
6 66
 
3.3%
7 57
 
2.8%
0 56
 
2.8%
Other values (2) 77
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3600
64.1%
ASCII 2016
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1118
55.5%
2 167
 
8.3%
1 141
 
7.0%
4 99
 
4.9%
5 89
 
4.4%
3 75
 
3.7%
9 71
 
3.5%
6 66
 
3.3%
7 57
 
2.8%
0 56
 
2.8%
Other values (2) 77
 
3.8%
Hangul
ValueCountFrequency (%)
서 317
8.8%
특 306
8.5%
별 306
8.5%
시 306
8.5%
용 306
8.5%
산 306
8.5%
구 306
8.5%
울 306
8.5%
로 305
8.5%
대 92
 
2.6%
Other values (50) 744
20.7%

병원종류
Categorical

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
의원
136 
치과의원
105 
한의원
62 
병원
 
2
종합병원
 
1

Length

Max length4
Median length3
Mean length2.8954248
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
의원 136
44.4%
치과의원 105
34.3%
한의원 62
20.3%
병원 2
 
0.7%
종합병원 1
 
0.3%

Length

2023-12-12T16:01:07.868390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:01:08.002066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 136
44.4%
치과의원 105
34.3%
한의원 62
20.3%
병원 2
 
0.7%
종합병원 1
 
0.3%

Missing values

2023-12-12T16:01:04.536471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:01:04.635637image/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

병의원명진료과목전화번호주소병원종류
097.7비엔에치의원산부인과 피부과 성형외과02-3438-0510서울특별시 용산구 유엔빌리지길 72의원
1강원한의원한방각과02-792-1991서울특별시 용산구 한남대로10길 6한의원
2강태욱치과의원치과02-798-1126서울특별시 용산구 회나무로6길 5치과의원
3경희미담한의원한방각과02-798-8275서울특별시 용산구 이촌로 224한의원
4경희유엔한의원한방각과02-790-9939서울특별시 용산구 독서당로 86한의원
5경희이촌한의원한방각과02-796-3337서울특별시 용산구 이촌로 264한의원
6경희황금손한의원한방각과02-3273-5555서울특별시 용산구 만리재로 134한의원
7고른이치과의원치과02-796-0844서울특별시 용산구 한강대로62길 11치과의원
8구창서치과의원치과02-798-1100서울특별시 용산구 이촌로 248치과의원
9국제의원내과 신경과 정신건강의학과 영상의학과 병리과 가정의학과02-790-0857서울특별시 용산구 이태원로 211의원
병의원명진료과목전화번호주소병원종류
296큐티스의원가정의학과 피부과 성형외과02-6405-1110서울특별시 용산구 한강대로 95의원
297튼튼한 치과의원치과02-717-0324서울특별시 용산구 효창원로 132치과의원
298티아이피재활의학과의원내과 신경과 신경외과 이비인후과 정형외과 피부과 재활의학과02-6959-8228서울특별시 용산구 이촌로64길 24의원
299피부사랑피부과의원피부과02-711-9757서울특별시 용산구 청파로 253의원
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