Overview

Dataset statistics

Number of variables5
Number of observations81
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory42.6 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description인천광역시 서구에 위치한 금연치료의료기관현황에 관한 데이터셋입니다. 인천광역시 서구에 위치한 금연치료의료기관현황의 의료기관명, 소재지, 전화번호에 관한 정보를 포함하고 있습니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15090687&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 지역High correlation
지역 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
의료기관명 has unique valuesUnique
소재지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-01-28 09:17:07.925982
Analysis finished2024-01-28 09:17:08.480863
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41
Minimum1
Maximum81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2024-01-28T18:17:08.541646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q121
median41
Q361
95-th percentile77
Maximum81
Range80
Interquartile range (IQR)40

Descriptive statistics

Standard deviation23.526581
Coefficient of variation (CV)0.57381904
Kurtosis-1.2
Mean41
Median Absolute Deviation (MAD)20
Skewness0
Sum3321
Variance553.5
MonotonicityStrictly increasing
2024-01-28T18:17:08.675555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
62 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
55 1
 
1.2%
54 1
 
1.2%
53 1
 
1.2%
Other values (71) 71
87.7%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%
74 1
1.2%
73 1
1.2%
72 1
1.2%

지역
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Memory size780.0 B
석남동
12 
가정동
9 
가좌동
8 
청라동
8 
왕길동
7 
Other values (11)
37 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
석남동 12
14.8%
가정동 9
11.1%
가좌동 8
9.9%
청라동 8
9.9%
왕길동 7
8.6%
마전동 6
7.4%
당하동 5
6.2%
심곡동 5
6.2%
연희동 5
6.2%
검암동 4
 
4.9%
Other values (6) 12
14.8%

Length

2024-01-28T18:17:08.788659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
석남동 12
14.8%
가정동 9
11.1%
가좌동 8
9.9%
청라동 8
9.9%
왕길동 7
8.6%
마전동 6
7.4%
당하동 5
6.2%
심곡동 5
6.2%
연희동 5
6.2%
검암동 4
 
4.9%
Other values (6) 12
14.8%

의료기관명
Text

UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size780.0 B
2024-01-28T18:17:08.949797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length7.654321
Min length4

Characters and Unicode

Total characters620
Distinct characters146
Distinct categories5 ?
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 (%)100.0%

Sample

1st row루원마음봄 정신건강의학과 의원
2nd row루원성모내과의원
3rd row루프탑내과의원
4th row아이사랑소아청소년과의원
5th row열린이비인후과의원
ValueCountFrequency (%)
루원마음봄 1
 
1.2%
우리편한내과의원 1
 
1.2%
다나의원 1
 
1.2%
길벗내과의원 1
 
1.2%
한림내과의원 1
 
1.2%
연세수의원 1
 
1.2%
속편한의원 1
 
1.2%
서인천성모의원 1
 
1.2%
국제성모병원 1
 
1.2%
가톨릭관동대학교 1
 
1.2%
Other values (75) 75
88.2%
2024-01-28T18:17:09.233191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 81
 
13.1%
원 80
 
12.9%
과 56
 
9.0%
내 37
 
6.0%
정 12
 
1.9%
아 11
 
1.8%
이 10
 
1.6%
청 10
 
1.6%
가 10
 
1.6%
학 9
 
1.5%
Other values (136) 304
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 608
98.1%
Decimal Number 6
 
1.0%
Space Separator 4
 
0.6%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 81
 
13.3%
원 80
 
13.2%
과 56
 
9.2%
내 37
 
6.1%
정 12
 
2.0%
아 11
 
1.8%
이 10
 
1.6%
청 10
 
1.6%
가 10
 
1.6%
학 9
 
1.5%
Other values (130) 292
48.0%
Decimal Number
ValueCountFrequency (%)
5 2
33.3%
6 2
33.3%
3 2
33.3%
Space Separator
ValueCountFrequency (%)
4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 608
98.1%
Common 12
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 81
 
13.3%
원 80
 
13.2%
과 56
 
9.2%
내 37
 
6.1%
정 12
 
2.0%
아 11
 
1.8%
이 10
 
1.6%
청 10
 
1.6%
가 10
 
1.6%
학 9
 
1.5%
Other values (130) 292
48.0%
Common
ValueCountFrequency (%)
4
33.3%
5 2
16.7%
6 2
16.7%
3 2
16.7%
) 1
 
8.3%
( 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 608
98.1%
ASCII 12
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 81
 
13.3%
원 80
 
13.2%
과 56
 
9.2%
내 37
 
6.1%
정 12
 
2.0%
아 11
 
1.8%
이 10
 
1.6%
청 10
 
1.6%
가 10
 
1.6%
학 9
 
1.5%
Other values (130) 292
48.0%
ASCII
ValueCountFrequency (%)
4
33.3%
5 2
16.7%
6 2
16.7%
3 2
16.7%
) 1
 
8.3%
( 1
 
8.3%

소재지
Text

UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size780.0 B
2024-01-28T18:17:09.468902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length40
Mean length32.728395
Min length21

Characters and Unicode

Total characters2651
Distinct characters180
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

Unique81 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 봉오대로 255 6층 605,606호 (가정동)
2nd row인천광역시 서구 가정로 437 301동 B114~115호 (가정동, 루원시티 SK Leaders' VIEW)
3rd row인천광역시 서구 봉오대로 255 루원눈담봄 2층 207~210호 (가정동)
4th row인천광역시 서구 봉오재3로 40 202호 (가정동)
5th row인천광역시 서구 봉오재3로 44 2층 (가정동, 명문프라자)
ValueCountFrequency (%)
인천광역시 81
 
15.1%
서구 81
 
15.1%
2층 12
 
2.2%
석남동 12
 
2.2%
가정동 9
 
1.7%
가정로 9
 
1.7%
가좌동 8
 
1.5%
왕길동 7
 
1.3%
완정로 7
 
1.3%
청라동 7
 
1.3%
Other values (220) 302
56.4%
2024-01-28T18:17:09.826306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
454
 
17.1%
서 91
 
3.4%
인 85
 
3.2%
0 85
 
3.2%
로 85
 
3.2%
시 84
 
3.2%
천 82
 
3.1%
동 82
 
3.1%
구 81
 
3.1%
역 81
 
3.1%
Other values (170) 1441
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1452
54.8%
Decimal Number 489
 
18.4%
Space Separator 454
 
17.1%
Open Punctuation 80
 
3.0%
Close Punctuation 80
 
3.0%
Other Punctuation 57
 
2.2%
Uppercase Letter 14
 
0.5%
Dash Punctuation 10
 
0.4%
Math Symbol 9
 
0.3%
Lowercase Letter 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 91
 
6.3%
인 85
 
5.9%
로 85
 
5.9%
시 84
 
5.8%
천 82
 
5.6%
동 82
 
5.6%
구 81
 
5.6%
역 81
 
5.6%
광 81
 
5.6%
호 45
 
3.1%
Other values (137) 655
45.1%
Uppercase Letter
ValueCountFrequency (%)
S 3
21.4%
K 2
14.3%
M 1
 
7.1%
J 1
 
7.1%
I 1
 
7.1%
W 1
 
7.1%
E 1
 
7.1%
V 1
 
7.1%
L 1
 
7.1%
B 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
0 85
17.4%
2 71
14.5%
3 67
13.7%
1 60
12.3%
4 54
11.0%
5 46
9.4%
6 36
7.4%
7 27
 
5.5%
9 26
 
5.3%
8 17
 
3.5%
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 (%)
, 56
98.2%
' 1
 
1.8%
Space Separator
ValueCountFrequency (%)
454
100.0%
Open Punctuation
ValueCountFrequency (%)
( 80
100.0%
Close Punctuation
ValueCountFrequency (%)
) 80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1452
54.8%
Common 1179
44.5%
Latin 20
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 91
 
6.3%
인 85
 
5.9%
로 85
 
5.9%
시 84
 
5.8%
천 82
 
5.6%
동 82
 
5.6%
구 81
 
5.6%
역 81
 
5.6%
광 81
 
5.6%
호 45
 
3.1%
Other values (137) 655
45.1%
Common
ValueCountFrequency (%)
454
38.5%
0 85
 
7.2%
( 80
 
6.8%
) 80
 
6.8%
2 71
 
6.0%
3 67
 
5.7%
1 60
 
5.1%
, 56
 
4.7%
4 54
 
4.6%
5 46
 
3.9%
Other values (7) 126
 
10.7%
Latin
ValueCountFrequency (%)
S 3
15.0%
e 2
 
10.0%
K 2
 
10.0%
M 1
 
5.0%
J 1
 
5.0%
I 1
 
5.0%
W 1
 
5.0%
E 1
 
5.0%
V 1
 
5.0%
s 1
 
5.0%
Other values (6) 6
30.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1452
54.8%
ASCII 1199
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
454
37.9%
0 85
 
7.1%
( 80
 
6.7%
) 80
 
6.7%
2 71
 
5.9%
3 67
 
5.6%
1 60
 
5.0%
, 56
 
4.7%
4 54
 
4.5%
5 46
 
3.8%
Other values (23) 146
 
12.2%
Hangul
ValueCountFrequency (%)
서 91
 
6.3%
인 85
 
5.9%
로 85
 
5.9%
시 84
 
5.8%
천 82
 
5.6%
동 82
 
5.6%
구 81
 
5.6%
역 81
 
5.6%
광 81
 
5.6%
호 45
 
3.1%
Other values (137) 655
45.1%

전화번호
Text

UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size780.0 B
2024-01-28T18:17:10.033494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.012346
Min length12

Characters and Unicode

Total characters973
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

Unique81 ?
Unique (%)100.0%

Sample

1st row032-569-7585
2nd row032-575-8276
3rd row032-561-7535
4th row032-561-0279
5th row032-565-0938
ValueCountFrequency (%)
032-569-7585 1
 
1.2%
032-581-8275 1
 
1.2%
032-567-8009 1
 
1.2%
032-568-2075 1
 
1.2%
032-576-5900 1
 
1.2%
032-567-5767 1
 
1.2%
032-567-7731 1
 
1.2%
032-719-8740 1
 
1.2%
032-566-8275 1
 
1.2%
032-1600-8291 1
 
1.2%
Other values (71) 71
87.7%
2024-01-28T18:17:10.565786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 162
16.6%
5 140
14.4%
0 133
13.7%
2 125
12.8%
3 105
10.8%
7 81
8.3%
6 79
8.1%
1 53
 
5.4%
8 51
 
5.2%
9 26
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 811
83.4%
Dash Punctuation 162
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 140
17.3%
0 133
16.4%
2 125
15.4%
3 105
12.9%
7 81
10.0%
6 79
9.7%
1 53
 
6.5%
8 51
 
6.3%
9 26
 
3.2%
4 18
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 162
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 973
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 162
16.6%
5 140
14.4%
0 133
13.7%
2 125
12.8%
3 105
10.8%
7 81
8.3%
6 79
8.1%
1 53
 
5.4%
8 51
 
5.2%
9 26
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 973
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 162
16.6%
5 140
14.4%
0 133
13.7%
2 125
12.8%
3 105
10.8%
7 81
8.3%
6 79
8.1%
1 53
 
5.4%
8 51
 
5.2%
9 26
 
2.7%

Interactions

2024-01-28T18:17:08.268921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T18:17:10.646697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지역의료기관명소재지전화번호
연번1.0000.9721.0001.0001.000
지역0.9721.0001.0001.0001.000
의료기관명1.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000
2024-01-28T18:17:10.728710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지역
연번1.0000.849
지역0.8491.000

Missing values

2024-01-28T18:17:08.368237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T18:17:08.445217image/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

연번지역의료기관명소재지전화번호
01가정동루원마음봄 정신건강의학과 의원인천광역시 서구 봉오대로 255 6층 605,606호 (가정동)032-569-7585
12가정동루원성모내과의원인천광역시 서구 가정로 437 301동 B114~115호 (가정동, 루원시티 SK Leaders' VIEW)032-575-8276
23가정동루프탑내과의원인천광역시 서구 봉오대로 255 루원눈담봄 2층 207~210호 (가정동)032-561-7535
34가정동아이사랑소아청소년과의원인천광역시 서구 봉오재3로 40 202호 (가정동)032-561-0279
45가정동열린이비인후과의원인천광역시 서구 봉오재3로 44 2층 (가정동, 명문프라자)032-565-0938
56가정동우리베스트내과의원인천광역시 서구 염곡로464번길 15 4층 (가정동)032-715-6308
67가정동유승진내과의원인천광역시 서구 봉오재3로 90 한일골드타워 301호 (가정동)032-566-0111
78가정동인천참사랑병원인천광역시 서구 원창로240번길 9 (가정동)032-571-9111
89가정동홍앤장내과의원인천광역시 서구 가정로 406 301~303호 (가정동, 루원지웰시티푸르지오)032-566-5353
910가좌동가좌연세소아과의원인천광역시 서구 원적로 100 (가좌동)032-575-5275
연번지역의료기관명소재지전화번호
7172원당동연세장튼튼의원인천광역시 서구 이음5로 60 JS프라자 (원당동)032-565-0815
7273원당동위바른내과의원인천광역시 서구 이음대로 378 로뎀타워 501~506, 511호 (원당동)032-561-5570
7374청라동다정한내과의원인천광역시 서구 크리스탈로74번길 31 월드프라자 403,404,406호 (청라동)032-562-7511
7475청라동마음행복정신건강의학과의원인천광역시 서구 중봉대로586번길 9-4 쓰리엠타워 504,505호 (청라동)032-566-0700
7576청라동문내과의원인천광역시 서구 청라한내로72번길 23 301,302호 (청라동)032-561-7515
7677청라동청라나눔내과의원인천광역시 서구 청라한내로 90 MK뷰 505~9호 (청라동)032-567-0750
7778청라동청라맑은숨내과의원인천광역시 서구 청라에메랄드로102번길 8 우성메디피아 303,304호 (청라동)032-272-0012
7879청라동청라바른내과의원인천광역시 서구 청라한내로161번길 3-5 2, 3, 4층 (청라동)032-562-8575
7980청라동청라여성병원인천광역시 서구 중봉대로 602 (청라동)032-716-6000
8081청라동청라좋은병원인천광역시 서구 청라에메랄드로 79-0 2층 (청라동,청라커낼에비뉴2~4층)032-271-0119