Overview

Dataset statistics

Number of variables4
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory37.4 B

Variable types

Numeric1
Text3

Dataset

Description인천광역시 남동구에 위치한 정형외과현황에 대한 데이터로 연번, 정형외과 병원명, 소재지, 연락처 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15102737&srcSe=7661IVAWM27C61E190

Alerts

연번 has unique valuesUnique
병원명 has unique valuesUnique
주소 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2024-03-18 05:05:08.723363
Analysis finished2024-03-18 05:05:10.708762
Duration1.99 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-03-18T14:05:10.773074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2024-03-18T14:05:10.879506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

병원명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-03-18T14:05:11.061502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length9.4
Min length7

Characters and Unicode

Total characters282
Distinct characters74
Distinct categories4 ?
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 row논현베스트정형외과의원
2nd row센텀정형외과의원
3rd row삼성메트로정형외과의원
4th row서울에스와이(SY)정형외과의원
5th row서창마디척정형외과의원
ValueCountFrequency (%)
논현베스트정형외과의원 1
 
3.3%
센텀정형외과의원 1
 
3.3%
남동정형외과의원 1
 
3.3%
위성정형외과의원 1
 
3.3%
서린정형외과의원 1
 
3.3%
만수연세정형외과의원 1
 
3.3%
윤병화정형외과의원 1
 
3.3%
간석메디정형외과의원 1
 
3.3%
현대정형외과의원 1
 
3.3%
견우정형외과의원 1
 
3.3%
Other values (20) 20
66.7%
2024-03-18T14:05:11.392505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 30
 
10.6%
형 30
 
10.6%
외 30
 
10.6%
과 30
 
10.6%
의 30
 
10.6%
원 30
 
10.6%
현 5
 
1.8%
논 4
 
1.4%
성 4
 
1.4%
서 4
 
1.4%
Other values (64) 85
30.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 277
98.2%
Uppercase Letter 3
 
1.1%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 30
 
10.8%
형 30
 
10.8%
외 30
 
10.8%
과 30
 
10.8%
의 30
 
10.8%
원 30
 
10.8%
현 5
 
1.8%
논 4
 
1.4%
성 4
 
1.4%
서 4
 
1.4%
Other values (59) 80
28.9%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
Y 1
33.3%
K 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 277
98.2%
Latin 3
 
1.1%
Common 2
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 30
 
10.8%
형 30
 
10.8%
외 30
 
10.8%
과 30
 
10.8%
의 30
 
10.8%
원 30
 
10.8%
현 5
 
1.8%
논 4
 
1.4%
성 4
 
1.4%
서 4
 
1.4%
Other values (59) 80
28.9%
Latin
ValueCountFrequency (%)
S 1
33.3%
Y 1
33.3%
K 1
33.3%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 277
98.2%
ASCII 5
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 30
 
10.8%
형 30
 
10.8%
외 30
 
10.8%
과 30
 
10.8%
의 30
 
10.8%
원 30
 
10.8%
현 5
 
1.8%
논 4
 
1.4%
성 4
 
1.4%
서 4
 
1.4%
Other values (59) 80
28.9%
ASCII
ValueCountFrequency (%)
( 1
20.0%
S 1
20.0%
Y 1
20.0%
) 1
20.0%
K 1
20.0%

주소
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-03-18T14:05:11.644137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length36.2
Min length22

Characters and Unicode

Total characters1086
Distinct characters99
Distinct categories8 ?
Distinct scripts2 ?
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 남동구 논고개로 61, 라피에스타 505,506호 (논현동)
2nd row인천광역시 남동구 논고개로 121, 에스닷몰 6층 (논현동)
3rd row인천광역시 남동구 구월로 376, 정은프라자 3층 301호 (만수동)
4th row인천광역시 남동구 호구포로 818, 퍼스트하임프라자 3층 308~312호 (구월동)
5th row인천광역시 남동구 서창남순환로216번길 12, 월드타워 3층 일부호 (서창동)
ValueCountFrequency (%)
인천광역시 30
 
14.4%
남동구 30
 
14.4%
구월동 7
 
3.4%
만수동 7
 
3.4%
논현동 7
 
3.4%
간석동 7
 
3.4%
논고개로 4
 
1.9%
백범로 4
 
1.9%
2층 4
 
1.9%
5층 4
 
1.9%
Other values (89) 104
50.0%
2024-03-18T14:05:11.982264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
178
 
16.4%
동 64
 
5.9%
, 50
 
4.6%
구 45
 
4.1%
남 38
 
3.5%
인 34
 
3.1%
1 31
 
2.9%
층 31
 
2.9%
시 30
 
2.8%
천 30
 
2.8%
Other values (89) 555
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 605
55.7%
Decimal Number 185
 
17.0%
Space Separator 178
 
16.4%
Other Punctuation 50
 
4.6%
Close Punctuation 30
 
2.8%
Open Punctuation 30
 
2.8%
Math Symbol 6
 
0.6%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 64
 
10.6%
구 45
 
7.4%
남 38
 
6.3%
인 34
 
5.6%
층 31
 
5.1%
시 30
 
5.0%
천 30
 
5.0%
로 30
 
5.0%
역 30
 
5.0%
광 30
 
5.0%
Other values (73) 243
40.2%
Decimal Number
ValueCountFrequency (%)
1 31
16.8%
2 29
15.7%
3 27
14.6%
0 23
12.4%
4 18
9.7%
5 17
9.2%
7 13
7.0%
8 12
 
6.5%
6 8
 
4.3%
9 7
 
3.8%
Space Separator
ValueCountFrequency (%)
178
100.0%
Other Punctuation
ValueCountFrequency (%)
, 50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 605
55.7%
Common 481
44.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 64
 
10.6%
구 45
 
7.4%
남 38
 
6.3%
인 34
 
5.6%
층 31
 
5.1%
시 30
 
5.0%
천 30
 
5.0%
로 30
 
5.0%
역 30
 
5.0%
광 30
 
5.0%
Other values (73) 243
40.2%
Common
ValueCountFrequency (%)
178
37.0%
, 50
 
10.4%
1 31
 
6.4%
) 30
 
6.2%
( 30
 
6.2%
2 29
 
6.0%
3 27
 
5.6%
0 23
 
4.8%
4 18
 
3.7%
5 17
 
3.5%
Other values (6) 48
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 605
55.7%
ASCII 481
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
178
37.0%
, 50
 
10.4%
1 31
 
6.4%
) 30
 
6.2%
( 30
 
6.2%
2 29
 
6.0%
3 27
 
5.6%
0 23
 
4.8%
4 18
 
3.7%
5 17
 
3.5%
Other values (6) 48
 
10.0%
Hangul
ValueCountFrequency (%)
동 64
 
10.6%
구 45
 
7.4%
남 38
 
6.3%
인 34
 
5.6%
층 31
 
5.1%
시 30
 
5.0%
천 30
 
5.0%
로 30
 
5.0%
역 30
 
5.0%
광 30
 
5.0%
Other values (73) 243
40.2%

연락처
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-03-18T14:05:12.200347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters360
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

Unique30 ?
Unique (%)100.0%

Sample

1st row032-235-7575
2nd row032-433-1275
3rd row032-424-4114
4th row032-462-7582
5th row032-716-5911
ValueCountFrequency (%)
032-235-7575 1
 
3.3%
032-433-1275 1
 
3.3%
032-465-6425 1
 
3.3%
032-429-3383 1
 
3.3%
032-466-0464 1
 
3.3%
032-461-7575 1
 
3.3%
032-471-8275 1
 
3.3%
032-429-3600 1
 
3.3%
032-466-7585 1
 
3.3%
032-432-3030 1
 
3.3%
Other values (20) 20
66.7%
2024-03-18T14:05:12.543042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 60
16.7%
2 53
14.7%
3 51
14.2%
0 44
12.2%
4 44
12.2%
5 25
6.9%
7 24
 
6.7%
6 21
 
5.8%
1 18
 
5.0%
8 14
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 300
83.3%
Dash Punctuation 60
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 53
17.7%
3 51
17.0%
0 44
14.7%
4 44
14.7%
5 25
8.3%
7 24
8.0%
6 21
 
7.0%
1 18
 
6.0%
8 14
 
4.7%
9 6
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 360
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 60
16.7%
2 53
14.7%
3 51
14.2%
0 44
12.2%
4 44
12.2%
5 25
6.9%
7 24
 
6.7%
6 21
 
5.8%
1 18
 
5.0%
8 14
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 60
16.7%
2 53
14.7%
3 51
14.2%
0 44
12.2%
4 44
12.2%
5 25
6.9%
7 24
 
6.7%
6 21
 
5.8%
1 18
 
5.0%
8 14
 
3.9%

Interactions

2024-03-18T14:05:10.435936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T14:05:12.632046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번병원명주소연락처
연번1.0001.0001.0001.000
병원명1.0001.0001.0001.000
주소1.0001.0001.0001.000
연락처1.0001.0001.0001.000

Missing values

2024-03-18T14:05:10.588543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:05:10.668795image/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

연번병원명주소연락처
01논현베스트정형외과의원인천광역시 남동구 논고개로 61, 라피에스타 505,506호 (논현동)032-235-7575
12센텀정형외과의원인천광역시 남동구 논고개로 121, 에스닷몰 6층 (논현동)032-433-1275
23삼성메트로정형외과의원인천광역시 남동구 구월로 376, 정은프라자 3층 301호 (만수동)032-424-4114
34서울에스와이(SY)정형외과의원인천광역시 남동구 호구포로 818, 퍼스트하임프라자 3층 308~312호 (구월동)032-462-7582
45서창마디척정형외과의원인천광역시 남동구 서창남순환로216번길 12, 월드타워 3층 일부호 (서창동)032-716-5911
56구월조은정형외과의원인천광역시 남동구 인주대로 721, 2층 (구월동)032-464-8881
67만수K정형외과의원인천광역시 남동구 장승남로33번길 9, 대동아파트상가 301일부호 (만수동)032-461-3659
78성모정형외과의원인천광역시 남동구 백범로273번길 9, 수정빌딩 1층 (간석동)032-442-3555
89온정형외과의원인천광역시 남동구 서창남순환로 223, 308,309호 (서창동)032-422-6626
910바로나은정형외과의원인천광역시 남동구 논고개로 73, 5층 전체호 (논현동, 라움타워)032-442-8575
연번병원명주소연락처
2021논현메디칼정형외과의원인천광역시 남동구 남동대로370번길 113, 2층,3층 (논현동)032-446-9700
2122견우정형외과의원인천광역시 남동구 호구포로 911, 3층 (간석동, 신일빌딩)032-432-3030
2223현대정형외과의원인천광역시 남동구 구월로 300-1, 1,2,4,5층 (만수동)032-466-7585
2324간석메디정형외과의원인천광역시 남동구 백범로 276, 자하1,지상1~3층 (간석동)032-429-3600
2425윤병화정형외과의원인천광역시 남동구 담방로 45 (만수동)032-471-8275
2526만수연세정형외과의원인천광역시 남동구 만수로 47, 6층 ,703호704호 (만수동)032-461-7575
2627서린정형외과의원인천광역시 남동구 백범로 204, 지하1층,3~5층 (만수동)032-466-0464
2728위성정형외과의원인천광역시 남동구 남동대로 902-1, 지하1층 1~4층 (간석동)032-429-3383
2829남동정형외과의원인천광역시 남동구 백범로 185, 1~5층 (만수동)032-465-6425
2930이상권정형외과의원인천광역시 남동구 백범로 374, 1층일부,2층일부,층 4~5층호 (간석동, 오거리클리닉)032-424-0061