Overview

Dataset statistics

Number of variables4
Number of observations67
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory35.0 B

Variable types

Numeric1
Categorical1
Text2

Dataset

Description인천광역시 남동구 금연치료 의료기관 현황에 대한 데이터로 연번, 동별, 금연치료 의료기관 병원명, 전화번호 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15075584&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 동별High correlation
동별 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
병원명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-01-28 12:12:20.839184
Analysis finished2024-01-28 12:12:21.443885
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34
Minimum1
Maximum67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-01-28T21:12:21.505623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.3
Q117.5
median34
Q350.5
95-th percentile63.7
Maximum67
Range66
Interquartile range (IQR)33

Descriptive statistics

Standard deviation19.485037
Coefficient of variation (CV)0.57308932
Kurtosis-1.2
Mean34
Median Absolute Deviation (MAD)17
Skewness0
Sum2278
Variance379.66667
MonotonicityStrictly increasing
2024-01-28T21:12:21.627984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
44 1
 
1.5%
50 1
 
1.5%
49 1
 
1.5%
48 1
 
1.5%
47 1
 
1.5%
46 1
 
1.5%
45 1
 
1.5%
43 1
 
1.5%
2 1
 
1.5%
Other values (57) 57
85.1%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
67 1
1.5%
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%

동별
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size668.0 B
간석동
18 
구월동
14 
논현동
14 
만수동
14 
서창동
5 
Other values (2)
2 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
간석동 18
26.9%
구월동 14
20.9%
논현동 14
20.9%
만수동 14
20.9%
서창동 5
 
7.5%
남촌동 1
 
1.5%
도림동 1
 
1.5%

Length

2024-01-28T21:12:21.767524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:12:21.854053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
간석동 18
26.9%
구월동 14
20.9%
논현동 14
20.9%
만수동 14
20.9%
서창동 5
 
7.5%
남촌동 1
 
1.5%
도림동 1
 
1.5%

병원명
Text

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2024-01-28T21:12:22.045938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length7.1044776
Min length3

Characters and Unicode

Total characters476
Distinct characters127
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

Unique67 ?
Unique (%)100.0%

Sample

1st row간석굿모닝의원
2nd row상쾌한속내과의원
3rd row새희망병원
4th row성모가정의의학과의원
5th row세브란스의원
ValueCountFrequency (%)
간석굿모닝의원 1
 
1.5%
나은요양병원 1
 
1.5%
논현맑은의원 1
 
1.5%
장편한내과의원 1
 
1.5%
논현이이주내과의원 1
 
1.5%
다이아몬드치과의원 1
 
1.5%
마음돌봄의원 1
 
1.5%
인사랑내과의원 1
 
1.5%
조은아산내과의원 1
 
1.5%
한물결의원 1
 
1.5%
Other values (57) 57
85.1%
2024-01-28T21:12:22.357175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 69
 
14.5%
의 68
 
14.3%
과 44
 
9.2%
내 34
 
7.1%
한 11
 
2.3%
정 10
 
2.1%
가 9
 
1.9%
이 8
 
1.7%
세 7
 
1.5%
연 7
 
1.5%
Other values (117) 209
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 468
98.3%
Decimal Number 5
 
1.1%
Other Punctuation 1
 
0.2%
Lowercase Letter 1
 
0.2%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 69
 
14.7%
의 68
 
14.5%
과 44
 
9.4%
내 34
 
7.3%
한 11
 
2.4%
정 10
 
2.1%
가 9
 
1.9%
이 8
 
1.7%
세 7
 
1.5%
연 7
 
1.5%
Other values (110) 201
42.9%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
5 1
20.0%
2 1
20.0%
3 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
r 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 468
98.3%
Common 6
 
1.3%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 69
 
14.7%
의 68
 
14.5%
과 44
 
9.4%
내 34
 
7.3%
한 11
 
2.4%
정 10
 
2.1%
가 9
 
1.9%
이 8
 
1.7%
세 7
 
1.5%
연 7
 
1.5%
Other values (110) 201
42.9%
Common
ValueCountFrequency (%)
1 2
33.3%
. 1
16.7%
5 1
16.7%
2 1
16.7%
3 1
16.7%
Latin
ValueCountFrequency (%)
r 1
50.0%
D 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 468
98.3%
ASCII 8
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 69
 
14.7%
의 68
 
14.5%
과 44
 
9.4%
내 34
 
7.3%
한 11
 
2.4%
정 10
 
2.1%
가 9
 
1.9%
이 8
 
1.7%
세 7
 
1.5%
연 7
 
1.5%
Other values (110) 201
42.9%
ASCII
ValueCountFrequency (%)
1 2
25.0%
. 1
12.5%
r 1
12.5%
D 1
12.5%
5 1
12.5%
2 1
12.5%
3 1
12.5%

전화번호
Text

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2024-01-28T21:12:22.582345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters804
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

Unique67 ?
Unique (%)100.0%

Sample

1st row032-421-7588
2nd row032-446-7582
3rd row032-431-2555
4th row032-429-1489
5th row032-432-5955
ValueCountFrequency (%)
032-421-7588 1
 
1.5%
032-710-6001 1
 
1.5%
032-422-8554 1
 
1.5%
032-431-7501 1
 
1.5%
032-432-7114 1
 
1.5%
032-438-7275 1
 
1.5%
032-761-7575 1
 
1.5%
032-765-8275 1
 
1.5%
032-428-0075 1
 
1.5%
032-446-8275 1
 
1.5%
Other values (57) 57
85.1%
2024-01-28T21:12:22.939479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 134
16.7%
3 117
14.6%
2 115
14.3%
0 100
12.4%
4 80
10.0%
5 60
7.5%
7 57
7.1%
1 42
 
5.2%
6 41
 
5.1%
8 38
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 670
83.3%
Dash Punctuation 134
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 117
17.5%
2 115
17.2%
0 100
14.9%
4 80
11.9%
5 60
9.0%
7 57
8.5%
1 42
 
6.3%
6 41
 
6.1%
8 38
 
5.7%
9 20
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 804
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 134
16.7%
3 117
14.6%
2 115
14.3%
0 100
12.4%
4 80
10.0%
5 60
7.5%
7 57
7.1%
1 42
 
5.2%
6 41
 
5.1%
8 38
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 804
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 134
16.7%
3 117
14.6%
2 115
14.3%
0 100
12.4%
4 80
10.0%
5 60
7.5%
7 57
7.1%
1 42
 
5.2%
6 41
 
5.1%
8 38
 
4.7%

Interactions

2024-01-28T21:12:21.252605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T21:12:23.022210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번동별병원명전화번호
연번1.0000.8871.0001.000
동별0.8871.0001.0001.000
병원명1.0001.0001.0001.000
전화번호1.0001.0001.0001.000
2024-01-28T21:12:23.102452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번동별
연번1.0000.705
동별0.7051.000

Missing values

2024-01-28T21:12:21.343558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T21:12:21.411243image/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

연번동별병원명전화번호
01간석동간석굿모닝의원032-421-7588
12간석동상쾌한속내과의원032-446-7582
23간석동새희망병원032-431-2555
34간석동성모가정의의학과의원032-429-1489
45간석동세브란스의원032-432-5955
56간석동속시원한내과의원032-422-7580
67간석동열린가정의학과의원032-432-9944
78간석동서울내과의원032-433-7533
89간석동이진호내과의원032-431-8575
910간석동이찬주내과의원032-432-6406
연번동별병원명전화번호
5758만수동조내과의원032-463-9890
5859만수동한사랑의원032-466-8275
5960만수동정이가는내과의원032-464-0502
6061만수동현내과의원032-469-7733
6162만수동참사랑의원032-461-1231
6263서창동더웰내과의원032-469-1237
6364서창동연세푸른의원032-468-4683
6465서창동서울센트리얼치과병원032-469-2879
6566서창동명의원032-473-3400
6667서창동참편한가정의원032-472-7585