Overview

Dataset statistics

Number of variables4
Number of observations294
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.3 KiB
Average record size in memory32.4 B

Variable types

Categorical1
Text3

Dataset

Description서울특별시 광진구 치과와 한의원을 제외한 병의원 정보(의료기관구분, 의료기관명, 주소, 전화번호) 제공합니다.
Author서울특별시 광진구
URLhttps://www.data.go.kr/data/15052410/fileData.do

Alerts

의료기관종별 is highly imbalanced (86.8%)Imbalance
의료기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:25:51.113140
Analysis finished2023-12-12 10:25:51.564663
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관종별
Categorical

IMBALANCE 

Distinct7
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
의원
281 
병원
 
4
한방병원
 
2
요양병원(일반요양병원)
 
2
치과병원
 
2
Other values (2)
 
3

Length

Max length12
Median length2
Mean length2.1156463
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
의원 281
95.6%
병원 4
 
1.4%
한방병원 2
 
0.7%
요양병원(일반요양병원) 2
 
0.7%
치과병원 2
 
0.7%
종합병원 2
 
0.7%
정신병원 1
 
0.3%

Length

2023-12-12T19:25:51.640618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:25:51.768434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 281
95.6%
병원 4
 
1.4%
한방병원 2
 
0.7%
요양병원(일반요양병원 2
 
0.7%
치과병원 2
 
0.7%
종합병원 2
 
0.7%
정신병원 1
 
0.3%

의료기관명
Text

UNIQUE 

Distinct294
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-12T19:25:51.992622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length14
Mean length8.1598639
Min length3

Characters and Unicode

Total characters2399
Distinct characters275
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique294 ?
Unique (%)100.0%

Sample

1st row코끼리정형외과의원
2nd row김광국신경과의원
3rd row성모푸른내과의원
4th row군자탑정형외과의원
5th row서울건강내과의원
ValueCountFrequency (%)
코끼리정형외과의원 1
 
0.3%
푸른맥흉부외과의원 1
 
0.3%
연세가정의원 1
 
0.3%
중곡연세가정의학과의원 1
 
0.3%
김학윤정형외과의원 1
 
0.3%
이내과의원 1
 
0.3%
서울내과의원 1
 
0.3%
김영관내과안과의원 1
 
0.3%
지킴내과의원 1
 
0.3%
삼성제일외과의원 1
 
0.3%
Other values (290) 290
96.7%
2023-12-12T19:25:52.406535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 334
 
13.9%
원 299
 
12.5%
과 215
 
9.0%
정 59
 
2.5%
학 48
 
2.0%
내 44
 
1.8%
이 41
 
1.7%
인 41
 
1.7%
외 36
 
1.5%
신 35
 
1.5%
Other values (265) 1247
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2359
98.3%
Uppercase Letter 8
 
0.3%
Decimal Number 8
 
0.3%
Close Punctuation 6
 
0.3%
Open Punctuation 6
 
0.3%
Space Separator 6
 
0.3%
Lowercase Letter 3
 
0.1%
Other Punctuation 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 334
 
14.2%
원 299
 
12.7%
과 215
 
9.1%
정 59
 
2.5%
학 48
 
2.0%
내 44
 
1.9%
이 41
 
1.7%
인 41
 
1.7%
외 36
 
1.5%
신 35
 
1.5%
Other values (246) 1207
51.2%
Uppercase Letter
ValueCountFrequency (%)
S 2
25.0%
D 1
12.5%
H 1
12.5%
C 1
12.5%
Y 1
12.5%
B 1
12.5%
M 1
12.5%
Decimal Number
ValueCountFrequency (%)
3 2
25.0%
6 2
25.0%
5 2
25.0%
4 1
12.5%
2 1
12.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
66.7%
r 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2359
98.3%
Common 29
 
1.2%
Latin 11
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 334
 
14.2%
원 299
 
12.7%
과 215
 
9.1%
정 59
 
2.5%
학 48
 
2.0%
내 44
 
1.9%
이 41
 
1.7%
인 41
 
1.7%
외 36
 
1.5%
신 35
 
1.5%
Other values (246) 1207
51.2%
Common
ValueCountFrequency (%)
) 6
20.7%
( 6
20.7%
6
20.7%
3 2
 
6.9%
6 2
 
6.9%
. 2
 
6.9%
5 2
 
6.9%
- 1
 
3.4%
4 1
 
3.4%
2 1
 
3.4%
Latin
ValueCountFrequency (%)
e 2
18.2%
S 2
18.2%
r 1
9.1%
D 1
9.1%
H 1
9.1%
C 1
9.1%
Y 1
9.1%
B 1
9.1%
M 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2359
98.3%
ASCII 40
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 334
 
14.2%
원 299
 
12.7%
과 215
 
9.1%
정 59
 
2.5%
학 48
 
2.0%
내 44
 
1.9%
이 41
 
1.7%
인 41
 
1.7%
외 36
 
1.5%
신 35
 
1.5%
Other values (246) 1207
51.2%
ASCII
ValueCountFrequency (%)
) 6
15.0%
( 6
15.0%
6
15.0%
e 2
 
5.0%
S 2
 
5.0%
3 2
 
5.0%
6 2
 
5.0%
. 2
 
5.0%
5 2
 
5.0%
r 1
 
2.5%
Other values (9) 9
22.5%

의료기관주소(도로명)
Text

Distinct288
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-12T19:25:52.675652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length43
Mean length30.901361
Min length22

Characters and Unicode

Total characters9085
Distinct characters182
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique282 ?
Unique (%)95.9%

Sample

1st row서울특별시 광진구 뚝섬로 498, 서울클리닉빌딩 4층 (자양동)
2nd row서울특별시 광진구 광나루로 604, 진넥스 베르디엠 3층 301호 (구의동)
3rd row서울특별시 광진구 구의로 7, 2층 (구의동)
4th row서울특별시 광진구 능동로 313, 2,3층 (중곡동)
5th row서울특별시 광진구 자양로15길 51-1, 진덕빌딩 2층 (자양동)
ValueCountFrequency (%)
서울특별시 294
 
15.7%
광진구 294
 
15.7%
2층 82
 
4.4%
자양동 77
 
4.1%
중곡동 71
 
3.8%
구의동 64
 
3.4%
아차산로 50
 
2.7%
능동로 40
 
2.1%
화양동 39
 
2.1%
3층 38
 
2.0%
Other values (370) 824
44.0%
2023-12-12T19:25:53.130271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1579
 
17.4%
구 373
 
4.1%
동 351
 
3.9%
광 344
 
3.8%
, 341
 
3.8%
진 307
 
3.4%
시 299
 
3.3%
서 298
 
3.3%
) 297
 
3.3%
( 297
 
3.3%
Other values (172) 4599
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5183
57.1%
Space Separator 1579
 
17.4%
Decimal Number 1345
 
14.8%
Other Punctuation 351
 
3.9%
Close Punctuation 297
 
3.3%
Open Punctuation 297
 
3.3%
Dash Punctuation 15
 
0.2%
Math Symbol 10
 
0.1%
Uppercase Letter 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 373
 
7.2%
동 351
 
6.8%
광 344
 
6.6%
진 307
 
5.9%
시 299
 
5.8%
서 298
 
5.7%
울 296
 
5.7%
특 294
 
5.7%
별 294
 
5.7%
로 294
 
5.7%
Other values (150) 2033
39.2%
Decimal Number
ValueCountFrequency (%)
2 240
17.8%
1 205
15.2%
3 183
13.6%
5 164
12.2%
0 141
10.5%
4 127
9.4%
6 98
7.3%
9 66
 
4.9%
7 63
 
4.7%
8 58
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
A 3
37.5%
B 2
25.0%
G 1
 
12.5%
I 1
 
12.5%
C 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 341
97.2%
. 10
 
2.8%
Space Separator
ValueCountFrequency (%)
1579
100.0%
Close Punctuation
ValueCountFrequency (%)
) 297
100.0%
Open Punctuation
ValueCountFrequency (%)
( 297
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5183
57.1%
Common 3894
42.9%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 373
 
7.2%
동 351
 
6.8%
광 344
 
6.6%
진 307
 
5.9%
시 299
 
5.8%
서 298
 
5.7%
울 296
 
5.7%
특 294
 
5.7%
별 294
 
5.7%
로 294
 
5.7%
Other values (150) 2033
39.2%
Common
ValueCountFrequency (%)
1579
40.5%
, 341
 
8.8%
) 297
 
7.6%
( 297
 
7.6%
2 240
 
6.2%
1 205
 
5.3%
3 183
 
4.7%
5 164
 
4.2%
0 141
 
3.6%
4 127
 
3.3%
Other values (7) 320
 
8.2%
Latin
ValueCountFrequency (%)
A 3
37.5%
B 2
25.0%
G 1
 
12.5%
I 1
 
12.5%
C 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5183
57.1%
ASCII 3902
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1579
40.5%
, 341
 
8.7%
) 297
 
7.6%
( 297
 
7.6%
2 240
 
6.2%
1 205
 
5.3%
3 183
 
4.7%
5 164
 
4.2%
0 141
 
3.6%
4 127
 
3.3%
Other values (12) 328
 
8.4%
Hangul
ValueCountFrequency (%)
구 373
 
7.2%
동 351
 
6.8%
광 344
 
6.6%
진 307
 
5.9%
시 299
 
5.8%
서 298
 
5.7%
울 296
 
5.7%
특 294
 
5.7%
별 294
 
5.7%
로 294
 
5.7%
Other values (150) 2033
39.2%

의료기관전화번호
Text

Distinct279
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-12T19:25:53.460738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.221088
Min length9

Characters and Unicode

Total characters3299
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

Unique265 ?
Unique (%)90.1%

Sample

1st row02-462-1110
2nd row02-446-6703
3rd row02-6094-7575
4th row02-462-7585
5th row02-456-7542
ValueCountFrequency (%)
02-3437-3441 3
 
1.0%
02-2115-6222 2
 
0.7%
02-2201-0087 2
 
0.7%
02-2201-0706 2
 
0.7%
02-201-6663 2
 
0.7%
02-469-7541 2
 
0.7%
02-4673650 2
 
0.7%
02-447-0098 2
 
0.7%
02-2201-4075 2
 
0.7%
02-2201-2260 2
 
0.7%
Other values (269) 273
92.9%
2023-12-12T19:25:53.896525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 564
17.1%
0 523
15.9%
2 523
15.9%
4 367
11.1%
5 289
8.8%
6 258
7.8%
7 213
 
6.5%
3 166
 
5.0%
1 163
 
4.9%
8 134
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2735
82.9%
Dash Punctuation 564
 
17.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 523
19.1%
2 523
19.1%
4 367
13.4%
5 289
10.6%
6 258
9.4%
7 213
7.8%
3 166
 
6.1%
1 163
 
6.0%
8 134
 
4.9%
9 99
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 564
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3299
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 564
17.1%
0 523
15.9%
2 523
15.9%
4 367
11.1%
5 289
8.8%
6 258
7.8%
7 213
 
6.5%
3 166
 
5.0%
1 163
 
4.9%
8 134
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3299
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 564
17.1%
0 523
15.9%
2 523
15.9%
4 367
11.1%
5 289
8.8%
6 258
7.8%
7 213
 
6.5%
3 166
 
5.0%
1 163
 
4.9%
8 134
 
4.1%

Missing values

2023-12-12T19:25:51.419758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:25:51.518549image/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

의료기관종별의료기관명의료기관주소(도로명)의료기관전화번호
0의원코끼리정형외과의원서울특별시 광진구 뚝섬로 498, 서울클리닉빌딩 4층 (자양동)02-462-1110
1의원김광국신경과의원서울특별시 광진구 광나루로 604, 진넥스 베르디엠 3층 301호 (구의동)02-446-6703
2의원성모푸른내과의원서울특별시 광진구 구의로 7, 2층 (구의동)02-6094-7575
3의원군자탑정형외과의원서울특별시 광진구 능동로 313, 2,3층 (중곡동)02-462-7585
4의원서울건강내과의원서울특별시 광진구 자양로15길 51-1, 진덕빌딩 2층 (자양동)02-456-7542
5의원시원누리내과의원서울특별시 광진구 천호대로 670, 썬-타워빌딩 4층 (구의동)02-2088-5088
6의원스카이재활의학과의원서울특별시 광진구 아차산로 478, 그레이스빌딩 3층 (구의동)02-457-7588
7의원다나을신경외과의원서울특별시 광진구 군자로 70, 동일흥업주식회사 나동 301~305호 (군자동)02-465-9898
8의원건대성모외과의원서울특별시 광진구 아차산로 226, 성용빌딩 4층 (자양동)02-498-7000
9의원유앤아이의원서울특별시 광진구 아차산로 219, 삼영빌딩 2층 1호 (화양동)02-2039-3459
의료기관종별의료기관명의료기관주소(도로명)의료기관전화번호
284요양병원(일반요양병원)동부참사랑요양병원서울특별시 광진구 동일로 154 (화양동)02-461-6602
285병원서울프라임병원서울특별시 광진구 동일로 92-1, B1~2, 2~7층 (자양동)02-464-2700
286병원연세무척나은병원서울특별시 광진구 천호대로 568 (능동)02-3425-8200
287병원바른본병원서울특별시 광진구 능동로 261 (군자동)02-1577-9844
288치과병원에스(S)리더치과병원서울특별시 광진구 능동로 103, 3.4층 (화양동)02-466-7528
289병원제니스병원서울특별시 광진구 자양로 215 (구의동)02-3436-8888
290치과병원광진예치과병원서울특별시 광진구 천호대로 556 (능동)02-452-7272
291종합병원혜민병원서울특별시 광진구 자양로 85 (자양동)02-2049-9000
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