Overview

Dataset statistics

Number of variables4
Number of observations46
Missing cells3
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory34.9 B

Variable types

Text3
DateTime1

Dataset

Description인천광역시 서구 내과의원의 현황에 대한 데이터입니다. 이 데이터는 의원명, 소재지, 전화번호 등에 대한 정보를 제공합니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15086568&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 3 (6.5%) missing valuesMissing
의원명 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2024-01-28 11:11:24.782458
Analysis finished2024-01-28 11:11:25.122175
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의원명
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-01-28T20:11:25.292633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length9
Mean length7.5869565
Min length5

Characters and Unicode

Total characters349
Distinct characters91
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row더바른성모내과의원(The바른성모내과의원)
2nd row루원탑내과의원
3rd row홍앤장내과의원
4th row든든내과의원
5th row아인내과의원
ValueCountFrequency (%)
더바른성모내과의원(the바른성모내과의원 1
 
2.2%
손태용내과의원 1
 
2.2%
하이큐홍내과의원 1
 
2.2%
청라행복내과의원 1
 
2.2%
속편안내과의원 1
 
2.2%
연세조내과의원 1
 
2.2%
위편한내과의원 1
 
2.2%
다봄내과의원 1
 
2.2%
가좌우리내과의원 1
 
2.2%
한림내과의원 1
 
2.2%
Other values (36) 36
78.3%
2024-01-28T20:11:25.623417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 50
 
14.3%
내 47
 
13.5%
과 47
 
13.5%
의 47
 
13.5%
라 6
 
1.7%
청 6
 
1.7%
한 5
 
1.4%
리 5
 
1.4%
우 5
 
1.4%
세 4
 
1.1%
Other values (81) 127
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 344
98.6%
Lowercase Letter 2
 
0.6%
Open Punctuation 1
 
0.3%
Uppercase Letter 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 50
14.5%
내 47
 
13.7%
과 47
 
13.7%
의 47
 
13.7%
라 6
 
1.7%
청 6
 
1.7%
한 5
 
1.5%
리 5
 
1.5%
우 5
 
1.5%
세 4
 
1.2%
Other values (76) 122
35.5%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
e 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 344
98.6%
Latin 3
 
0.9%
Common 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 50
14.5%
내 47
 
13.7%
과 47
 
13.7%
의 47
 
13.7%
라 6
 
1.7%
청 6
 
1.7%
한 5
 
1.5%
리 5
 
1.5%
우 5
 
1.5%
세 4
 
1.2%
Other values (76) 122
35.5%
Latin
ValueCountFrequency (%)
T 1
33.3%
h 1
33.3%
e 1
33.3%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 344
98.6%
ASCII 5
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 50
14.5%
내 47
 
13.7%
과 47
 
13.7%
의 47
 
13.7%
라 6
 
1.7%
청 6
 
1.7%
한 5
 
1.5%
리 5
 
1.5%
우 5
 
1.5%
세 4
 
1.2%
Other values (76) 122
35.5%
ASCII
ValueCountFrequency (%)
( 1
20.0%
T 1
20.0%
h 1
20.0%
e 1
20.0%
) 1
20.0%

소재지
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-01-28T20:11:25.858617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length42.5
Mean length35.326087
Min length22

Characters and Unicode

Total characters1625
Distinct characters157
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 이음3로 149, 위너스 프라자 5층 (당하동)
2nd row인천광역시 서구 봉오대로 255, 루원눈담봄 2층 207~210호 (가정동)
3rd row인천광역시 서구 가정로 406, 301~303호 (가정동, 루원지웰시티푸르지오)
4th row인천광역시 서구 이음대로 479, CS메디칼프라자 301, 302호 (당하동)
5th row인천광역시 서구 발산로 6, 아인시티 주차타워 401 ~ 406호 (원당동)
ValueCountFrequency (%)
인천광역시 46
 
14.6%
서구 46
 
14.6%
청라동 9
 
2.9%
가정동 7
 
2.2%
가정로 7
 
2.2%
가좌동 5
 
1.6%
4층 4
 
1.3%
왕길동 4
 
1.3%
완정로 4
 
1.3%
석남동 4
 
1.3%
Other values (153) 179
56.8%
2024-01-28T20:11:26.204568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
269
 
16.6%
, 75
 
4.6%
서 51
 
3.1%
0 50
 
3.1%
3 50
 
3.1%
로 50
 
3.1%
인 49
 
3.0%
시 49
 
3.0%
동 47
 
2.9%
광 46
 
2.8%
Other values (147) 889
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 854
52.6%
Decimal Number 303
 
18.6%
Space Separator 269
 
16.6%
Other Punctuation 76
 
4.7%
Open Punctuation 46
 
2.8%
Close Punctuation 46
 
2.8%
Uppercase Letter 12
 
0.7%
Math Symbol 8
 
0.5%
Lowercase Letter 6
 
0.4%
Dash Punctuation 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 51
 
6.0%
로 50
 
5.9%
인 49
 
5.7%
시 49
 
5.7%
동 47
 
5.5%
광 46
 
5.4%
역 46
 
5.4%
구 46
 
5.4%
천 46
 
5.4%
라 29
 
3.4%
Other values (115) 395
46.3%
Decimal Number
ValueCountFrequency (%)
0 50
16.5%
3 50
16.5%
1 46
15.2%
4 37
12.2%
2 30
9.9%
5 26
8.6%
6 22
7.3%
8 16
 
5.3%
7 13
 
4.3%
9 13
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
K 2
16.7%
S 2
16.7%
M 1
8.3%
L 1
8.3%
V 1
8.3%
B 1
8.3%
E 1
8.3%
C 1
8.3%
I 1
8.3%
W 1
8.3%
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 (%)
, 75
98.7%
' 1
 
1.3%
Space Separator
ValueCountFrequency (%)
269
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 854
52.6%
Common 753
46.3%
Latin 18
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 51
 
6.0%
로 50
 
5.9%
인 49
 
5.7%
시 49
 
5.7%
동 47
 
5.5%
광 46
 
5.4%
역 46
 
5.4%
구 46
 
5.4%
천 46
 
5.4%
라 29
 
3.4%
Other values (115) 395
46.3%
Common
ValueCountFrequency (%)
269
35.7%
, 75
 
10.0%
0 50
 
6.6%
3 50
 
6.6%
( 46
 
6.1%
1 46
 
6.1%
) 46
 
6.1%
4 37
 
4.9%
2 30
 
4.0%
5 26
 
3.5%
Other values (7) 78
 
10.4%
Latin
ValueCountFrequency (%)
e 2
 
11.1%
K 2
 
11.1%
S 2
 
11.1%
M 1
 
5.6%
L 1
 
5.6%
V 1
 
5.6%
s 1
 
5.6%
r 1
 
5.6%
d 1
 
5.6%
a 1
 
5.6%
Other values (5) 5
27.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 854
52.6%
ASCII 771
47.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
269
34.9%
, 75
 
9.7%
0 50
 
6.5%
3 50
 
6.5%
( 46
 
6.0%
1 46
 
6.0%
) 46
 
6.0%
4 37
 
4.8%
2 30
 
3.9%
5 26
 
3.4%
Other values (22) 96
 
12.5%
Hangul
ValueCountFrequency (%)
서 51
 
6.0%
로 50
 
5.9%
인 49
 
5.7%
시 49
 
5.7%
동 47
 
5.5%
광 46
 
5.4%
역 46
 
5.4%
구 46
 
5.4%
천 46
 
5.4%
라 29
 
3.4%
Other values (115) 395
46.3%

전화번호
Text

MISSING 

Distinct43
Distinct (%)100.0%
Missing3
Missing (%)6.5%
Memory size500.0 B
2024-01-28T20:11:26.405184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.023256
Min length12

Characters and Unicode

Total characters517
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

Unique43 ?
Unique (%)100.0%

Sample

1st row032-568-8276
2nd row032-561-7534
3rd row032-566-5354
4th row032-564-0107
5th row032-565-1808
ValueCountFrequency (%)
032-568-8276 1
 
2.3%
032-567-8274 1
 
2.3%
032-564-7516 1
 
2.3%
032-561-7525 1
 
2.3%
032-563-6896 1
 
2.3%
032-565-7866 1
 
2.3%
070-7500-9111 1
 
2.3%
032-576-8575 1
 
2.3%
032-565-0772 1
 
2.3%
032-572-0047 1
 
2.3%
Other values (33) 33
76.7%
2024-01-28T20:11:26.688418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 86
16.6%
5 74
14.3%
2 67
13.0%
0 66
12.8%
3 51
9.9%
7 50
9.7%
6 48
9.3%
8 24
 
4.6%
1 24
 
4.6%
4 17
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 431
83.4%
Dash Punctuation 86
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 74
17.2%
2 67
15.5%
0 66
15.3%
3 51
11.8%
7 50
11.6%
6 48
11.1%
8 24
 
5.6%
1 24
 
5.6%
4 17
 
3.9%
9 10
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 517
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 86
16.6%
5 74
14.3%
2 67
13.0%
0 66
12.8%
3 51
9.9%
7 50
9.7%
6 48
9.3%
8 24
 
4.6%
1 24
 
4.6%
4 17
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 517
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 86
16.6%
5 74
14.3%
2 67
13.0%
0 66
12.8%
3 51
9.9%
7 50
9.7%
6 48
9.3%
8 24
 
4.6%
1 24
 
4.6%
4 17
 
3.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2023-08-01 00:00:00
Maximum2023-08-01 00:00:00
2024-01-28T20:11:26.781023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:11:26.850565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-01-28T20:11:26.913357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의원명소재지전화번호
의원명1.0001.0001.000
소재지1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2024-01-28T20:11:25.012129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T20:11:25.092359image/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
0더바른성모내과의원(The바른성모내과의원)인천광역시 서구 이음3로 149, 위너스 프라자 5층 (당하동)032-568-82762023-08-01
1루원탑내과의원인천광역시 서구 봉오대로 255, 루원눈담봄 2층 207~210호 (가정동)032-561-75342023-08-01
2홍앤장내과의원인천광역시 서구 가정로 406, 301~303호 (가정동, 루원지웰시티푸르지오)032-566-53542023-08-01
3든든내과의원인천광역시 서구 이음대로 479, CS메디칼프라자 301, 302호 (당하동)032-564-01072023-08-01
4아인내과의원인천광역시 서구 발산로 6, 아인시티 주차타워 401 ~ 406호 (원당동)032-565-18082023-08-01
5아산큰내과의원인천광역시 서구 검단로 469, 4~5층 (왕길동)032-563-27852023-08-01
6청라맑은숨내과의원인천광역시 서구 청라에메랄드로102번길 8, 우성메디피아 303,304호 (청라동)<NA>2023-08-01
7검암연세내과의원인천광역시 서구 승학로483번길 18-8(검암동)<NA>2023-08-01
8루원성모내과의원인천광역시 서구 가정로 437, 301동 B114~115호 (가정동, 루원시티 SK Leaders' VIEW)032-575-82772023-08-01
9위바른내과의원인천광역시 서구 이음대로 378, 로뎀타워 501~506, 511호 (원당동)032-561-55752023-08-01
의원명소재지전화번호데이터기준일자
36정내과의원인천광역시 서구 검단로 836, 215호 (불로동, 월드메가마트)032-567-82742023-08-01
37차왕기내과의원인천광역시 서구 가정로 201 (석남동)032-574-01882023-08-01
38신현승내과의원인천광역시 서구 원적로 85 (가좌동, 우신프라자)032-582-85762023-08-01
39김득조내과의원인천광역시 서구 율도로 98, 302호 (석남동, 서인빌딩)032-578-75752023-08-01
40안용진내과의원인천광역시 서구 완정로 187, 2,5,6층 (왕길동)032-562-14292023-08-01
41문정식내과의원인천광역시 서구 원적로 103 (가좌동)032-575-22462023-08-01
42양영표내과의원인천광역시 서구 가정로 364-1, 3층 (가정동, 창대빌딩)032-582-62242023-08-01
43연세열린내과의원인천광역시 서구 가정로 201-1 (석남동)032-579-60902023-08-01
44하이큐홍내과의원인천광역시 서구 원적로 100, 4층 (가좌동, 가좌로얄프라자)032-578-30012023-08-01
45임내과의원인천광역시 서구 가정로 202 (석남동)032-572-15342023-08-01