Overview

Dataset statistics

Number of variables4
Number of observations30
Missing cells2
Missing cells (%)1.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory36.4 B

Variable types

Text3
DateTime1

Dataset

Description인천광역시 서구 이비인후과의원의 현황에 대한 데이터입니다. 이 데이터는 의원명, 소재지, 전화번호 등에 대한 정보를 제공합니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15086613&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 2 (6.7%) missing valuesMissing
의원명 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2024-01-28 12:42:52.266263
Analysis finished2024-01-28 12:42:52.562021
Duration0.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의원명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-01-28T21:42:52.683463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.4666667
Min length8

Characters and Unicode

Total characters284
Distinct characters57
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row더숲이비인후과의원
2nd row티움이비인후과의원
3rd row더블유이비인후과의원
4th row솔솔이비인후과의원
5th row한나이비인후과의원
ValueCountFrequency (%)
더숲이비인후과의원 1
 
3.3%
티움이비인후과의원 1
 
3.3%
천이비인후과의원 1
 
3.3%
윤이비인후과의원 1
 
3.3%
연세이비인후과의원 1
 
3.3%
상이비인후과의원 1
 
3.3%
수이비인후과의원 1
 
3.3%
고영승이비인후과의원 1
 
3.3%
원당연세이비인후과의원 1
 
3.3%
행복한이비인후과의원 1
 
3.3%
Other values (20) 20
66.7%
2024-01-28T21:42:53.011759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
11.3%
32
11.3%
30
10.6%
30
10.6%
30
10.6%
30
10.6%
30
10.6%
5
 
1.8%
5
 
1.8%
3
 
1.1%
Other values (47) 57
20.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 284
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
32
11.3%
32
11.3%
30
10.6%
30
10.6%
30
10.6%
30
10.6%
30
10.6%
5
 
1.8%
5
 
1.8%
3
 
1.1%
Other values (47) 57
20.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 284
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
32
11.3%
32
11.3%
30
10.6%
30
10.6%
30
10.6%
30
10.6%
30
10.6%
5
 
1.8%
5
 
1.8%
3
 
1.1%
Other values (47) 57
20.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 284
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
32
11.3%
32
11.3%
30
10.6%
30
10.6%
30
10.6%
30
10.6%
30
10.6%
5
 
1.8%
5
 
1.8%
3
 
1.1%
Other values (47) 57
20.1%

소재지
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-01-28T21:42:53.267477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length39
Mean length33.833333
Min length20

Characters and Unicode

Total characters1015
Distinct characters133
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

Unique30 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 이음3로 149, 위너스 프라자 4층 (당하동)
2nd row인천광역시 서구 봉오대로 255, 404~407호 (가정동)
3rd row인천광역시 서구 이음대로 479, CS메디컬프라자 401~404호 (당하동)
4th row인천광역시 서구 이음대로 392, 메트로시티 6층 605~606호 (원당동)
5th row인천광역시 서구 가정로 140, 수협 2층 (가좌동)
ValueCountFrequency (%)
인천광역시 30
 
14.6%
서구 30
 
14.6%
당하동 5
 
2.4%
2층 4
 
2.0%
가좌동 4
 
2.0%
가정동 4
 
2.0%
가정로 4
 
2.0%
원당동 3
 
1.5%
완정로 3
 
1.5%
이음대로 3
 
1.5%
Other values (105) 115
56.1%
2024-01-28T21:42:53.632267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
175
 
17.2%
, 38
 
3.7%
34
 
3.3%
33
 
3.3%
32
 
3.2%
31
 
3.1%
( 30
 
3.0%
) 30
 
3.0%
30
 
3.0%
30
 
3.0%
Other values (123) 552
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 551
54.3%
Space Separator 175
 
17.2%
Decimal Number 169
 
16.7%
Other Punctuation 39
 
3.8%
Open Punctuation 30
 
3.0%
Close Punctuation 30
 
3.0%
Uppercase Letter 11
 
1.1%
Lowercase Letter 6
 
0.6%
Math Symbol 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
34
 
6.2%
33
 
6.0%
32
 
5.8%
31
 
5.6%
30
 
5.4%
30
 
5.4%
30
 
5.4%
30
 
5.4%
30
 
5.4%
16
 
2.9%
Other values (93) 255
46.3%
Decimal Number
ValueCountFrequency (%)
4 29
17.2%
0 29
17.2%
3 26
15.4%
1 16
9.5%
2 16
9.5%
5 12
7.1%
6 12
7.1%
7 11
 
6.5%
8 9
 
5.3%
9 9
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
S 3
27.3%
K 1
 
9.1%
L 1
 
9.1%
C 1
 
9.1%
V 1
 
9.1%
I 1
 
9.1%
E 1
 
9.1%
W 1
 
9.1%
J 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
s 1
16.7%
r 1
16.7%
d 1
16.7%
a 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 38
97.4%
' 1
 
2.6%
Space Separator
ValueCountFrequency (%)
175
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 551
54.3%
Common 447
44.0%
Latin 17
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
34
 
6.2%
33
 
6.0%
32
 
5.8%
31
 
5.6%
30
 
5.4%
30
 
5.4%
30
 
5.4%
30
 
5.4%
30
 
5.4%
16
 
2.9%
Other values (93) 255
46.3%
Common
ValueCountFrequency (%)
175
39.1%
, 38
 
8.5%
( 30
 
6.7%
) 30
 
6.7%
4 29
 
6.5%
0 29
 
6.5%
3 26
 
5.8%
1 16
 
3.6%
2 16
 
3.6%
5 12
 
2.7%
Other values (6) 46
 
10.3%
Latin
ValueCountFrequency (%)
S 3
17.6%
e 2
11.8%
K 1
 
5.9%
s 1
 
5.9%
r 1
 
5.9%
d 1
 
5.9%
a 1
 
5.9%
L 1
 
5.9%
C 1
 
5.9%
V 1
 
5.9%
Other values (4) 4
23.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 551
54.3%
ASCII 464
45.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
175
37.7%
, 38
 
8.2%
( 30
 
6.5%
) 30
 
6.5%
4 29
 
6.2%
0 29
 
6.2%
3 26
 
5.6%
1 16
 
3.4%
2 16
 
3.4%
5 12
 
2.6%
Other values (20) 63
 
13.6%
Hangul
ValueCountFrequency (%)
34
 
6.2%
33
 
6.0%
32
 
5.8%
31
 
5.6%
30
 
5.4%
30
 
5.4%
30
 
5.4%
30
 
5.4%
30
 
5.4%
16
 
2.9%
Other values (93) 255
46.3%

전화번호
Text

MISSING 

Distinct28
Distinct (%)100.0%
Missing2
Missing (%)6.7%
Memory size372.0 B
2024-01-28T21:42:53.816525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters336
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

Unique28 ?
Unique (%)100.0%

Sample

1st row032-710-6987
2nd row032-566-7586
3rd row032-573-1077
4th row032-573-1175
5th row032-567-9800
ValueCountFrequency (%)
032-568-4327 1
 
3.6%
032-566-7586 1
 
3.6%
032-575-7582 1
 
3.6%
032-583-5460 1
 
3.6%
032-565-2356 1
 
3.6%
032-579-5284 1
 
3.6%
032-572-7582 1
 
3.6%
032-563-7887 1
 
3.6%
032-568-7585 1
 
3.6%
032-566-7530 1
 
3.6%
Other values (18) 18
64.3%
2024-01-28T21:42:54.100577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 56
16.7%
5 54
16.1%
2 44
13.1%
0 43
12.8%
3 39
11.6%
7 29
8.6%
6 23
6.8%
8 22
 
6.5%
1 12
 
3.6%
4 8
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 280
83.3%
Dash Punctuation 56
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 54
19.3%
2 44
15.7%
0 43
15.4%
3 39
13.9%
7 29
10.4%
6 23
8.2%
8 22
7.9%
1 12
 
4.3%
4 8
 
2.9%
9 6
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 336
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 56
16.7%
5 54
16.1%
2 44
13.1%
0 43
12.8%
3 39
11.6%
7 29
8.6%
6 23
6.8%
8 22
 
6.5%
1 12
 
3.6%
4 8
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 56
16.7%
5 54
16.1%
2 44
13.1%
0 43
12.8%
3 39
11.6%
7 29
8.6%
6 23
6.8%
8 22
 
6.5%
1 12
 
3.6%
4 8
 
2.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2023-08-01 00:00:00
Maximum2023-08-01 00:00:00
2024-01-28T21:42:54.200396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:42:54.273471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-01-28T21:42:54.334767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의원명소재지전화번호
의원명1.0001.0001.000
소재지1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2024-01-28T21:42:52.458931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T21:42:52.530164image/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

의원명소재지전화번호데이터기준일자
0더숲이비인후과의원인천광역시 서구 이음3로 149, 위너스 프라자 4층 (당하동)032-710-69872023-08-01
1티움이비인후과의원인천광역시 서구 봉오대로 255, 404~407호 (가정동)<NA>2023-08-01
2더블유이비인후과의원인천광역시 서구 이음대로 479, CS메디컬프라자 401~404호 (당하동)<NA>2023-08-01
3솔솔이비인후과의원인천광역시 서구 이음대로 392, 메트로시티 6층 605~606호 (원당동)032-566-75862023-08-01
4한나이비인후과의원인천광역시 서구 가정로 140, 수협 2층 (가좌동)032-573-10772023-08-01
5성모루원수이비인후과의원인천광역시 서구 가정로 437, 301동 202~204 일부호 (가정동, 루원시티 SK Leaders' VIEW)032-573-11752023-08-01
6검단연세이비인후과의원인천광역시 서구 이음대로 378, 로뎀타워 604, 605, 606호 (원당동)032-567-98002023-08-01
7두리이비인후과의원인천광역시 서구 이음5로 60, JS프라자 (원당동)032-715-46002023-08-01
8진이비인후과의원인천광역시 서구 청라커낼로288번길 10, 더스페이스타워 403,404호 (청라동)032-561-55522023-08-01
9열린이비인후과의원인천광역시 서구 봉오재3로 44, 2층 (가정동, 명문프라자)032-565-09382023-08-01
의원명소재지전화번호데이터기준일자
20미래이비인후과의원인천광역시 서구 청마로 163, 3층 (당하동, 당하메디컬센터)032-568-54752023-08-01
21행복한이비인후과의원인천광역시 서구 검단로 836 (불로동)032-569-00612023-08-01
22원당연세이비인후과의원인천광역시 서구 고산후로95번길 20, 303호 (당하동, 힘찬프라자)032-566-75302023-08-01
23고영승이비인후과의원인천광역시 서구 완정로 179, 4층 (왕길동, 검단메디컬프라자)032-568-75852023-08-01
24수이비인후과의원인천광역시 서구 완정로 35 (마전동)032-563-78872023-08-01
25상이비인후과의원인천광역시 서구 가정로 372, 2층 (가정동)032-572-75822023-08-01
26연세이비인후과의원인천광역시 서구 원적로 85, 304호 (가좌동, 우신프라자)032-579-52842023-08-01
27윤이비인후과의원인천광역시 서구 완정로 187, 401호 (왕길동, 마전메디칼센타)032-565-23562023-08-01
28천이비인후과의원인천광역시 서구 거북로 104 (석남동)032-583-54602023-08-01
29다인이비인후과의원인천광역시 서구 원적로 100 (가좌동)032-575-06142023-08-01