Overview

Dataset statistics

Number of variables4
Number of observations59
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory35.2 B

Variable types

Numeric1
Text3

Dataset

Description인천광역시 남동구 내에 위치한 내과의원에 대한 현황으로 연번, 내과의원 명, 소재지, 전화번호 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15102741&srcSe=7661IVAWM27C61E190

Alerts

연번 has unique valuesUnique
병원명 has unique valuesUnique
소재지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-18 04:57:35.633286
Analysis finished2024-03-18 04:57:37.457551
Duration1.82 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30
Minimum1
Maximum59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-03-18T13:57:37.540834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.9
Q115.5
median30
Q344.5
95-th percentile56.1
Maximum59
Range58
Interquartile range (IQR)29

Descriptive statistics

Standard deviation17.175564
Coefficient of variation (CV)0.5725188
Kurtosis-1.2
Mean30
Median Absolute Deviation (MAD)15
Skewness0
Sum1770
Variance295
MonotonicityStrictly increasing
2024-03-18T13:57:37.662349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
2 1
 
1.7%
33 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
Other values (49) 49
83.1%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
59 1
1.7%
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%
50 1
1.7%

병원명
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2024-03-18T13:57:37.866120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length7.220339
Min length5

Characters and Unicode

Total characters426
Distinct characters106
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)100.0%

Sample

1st row더편한장내과의원
2nd row더편한장사랑내과의원
3rd row정이가는내과의원
4th row주안상쾌한속내과의원
5th row케이-하트 내과의원
ValueCountFrequency (%)
더편한장내과의원 1
 
1.7%
모래내굿모닝내과의원 1
 
1.7%
이진호내과의원 1
 
1.7%
박내과의원 1
 
1.7%
우리내과의원 1
 
1.7%
조영복내과의원 1
 
1.7%
참조은내과의원 1
 
1.7%
dr.송내과의원 1
 
1.7%
인하내과의원 1
 
1.7%
21세기미소내과의원 1
 
1.7%
Other values (50) 50
83.3%
2024-03-18T13:57:38.188883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 62
14.6%
내 60
 
14.1%
과 59
 
13.8%
의 59
 
13.8%
이 8
 
1.9%
한 7
 
1.6%
서 5
 
1.2%
인 5
 
1.2%
장 5
 
1.2%
속 5
 
1.2%
Other values (96) 151
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 419
98.4%
Decimal Number 2
 
0.5%
Uppercase Letter 1
 
0.2%
Other Punctuation 1
 
0.2%
Lowercase Letter 1
 
0.2%
Space Separator 1
 
0.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 62
14.8%
내 60
14.3%
과 59
14.1%
의 59
14.1%
이 8
 
1.9%
한 7
 
1.7%
서 5
 
1.2%
인 5
 
1.2%
장 5
 
1.2%
속 5
 
1.2%
Other values (89) 144
34.4%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
r 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 419
98.4%
Common 5
 
1.2%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 62
14.8%
내 60
14.3%
과 59
14.1%
의 59
14.1%
이 8
 
1.9%
한 7
 
1.7%
서 5
 
1.2%
인 5
 
1.2%
장 5
 
1.2%
속 5
 
1.2%
Other values (89) 144
34.4%
Common
ValueCountFrequency (%)
2 1
20.0%
1 1
20.0%
. 1
20.0%
1
20.0%
- 1
20.0%
Latin
ValueCountFrequency (%)
D 1
50.0%
r 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 419
98.4%
ASCII 7
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 62
14.8%
내 60
14.3%
과 59
14.1%
의 59
14.1%
이 8
 
1.9%
한 7
 
1.7%
서 5
 
1.2%
인 5
 
1.2%
장 5
 
1.2%
속 5
 
1.2%
Other values (89) 144
34.4%
ASCII
ValueCountFrequency (%)
2 1
14.3%
1 1
14.3%
D 1
14.3%
. 1
14.3%
r 1
14.3%
1
14.3%
- 1
14.3%

소재지
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2024-03-18T13:57:38.433581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length44
Mean length36.20339
Min length22

Characters and Unicode

Total characters2136
Distinct characters149
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

Unique59 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 인하로 616, 커뮤니티프라자 5층 505호, 506호, 507호 (구월동)
2nd row인천광역시 남동구 남동대로 880, 올리브백화점 C동 1층 일부(101~108호 포함)호 (간석동)
3rd row인천광역시 남동구 장승남로 61, 인일프라자 502호 정남호 (만수동)
4th row인천광역시 남동구 석정로 483, 2,3층 (간석동)
5th row인천광역시 남동구 구월남로 172, 504호, 505호 일부호 (구월동)
ValueCountFrequency (%)
인천광역시 59
 
14.3%
남동구 59
 
14.3%
구월동 17
 
4.1%
간석동 15
 
3.6%
2층 14
 
3.4%
만수동 12
 
2.9%
논현동 8
 
1.9%
3층 8
 
1.9%
구월로 7
 
1.7%
일부호 7
 
1.7%
Other values (163) 208
50.2%
2024-03-18T13:57:38.786577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
355
 
16.6%
동 133
 
6.2%
, 94
 
4.4%
구 91
 
4.3%
남 77
 
3.6%
인 68
 
3.2%
) 61
 
2.9%
( 61
 
2.9%
시 60
 
2.8%
역 60
 
2.8%
Other values (139) 1076
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1202
56.3%
Space Separator 355
 
16.6%
Decimal Number 348
 
16.3%
Other Punctuation 95
 
4.4%
Close Punctuation 61
 
2.9%
Open Punctuation 61
 
2.9%
Math Symbol 5
 
0.2%
Uppercase Letter 5
 
0.2%
Dash Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 133
 
11.1%
구 91
 
7.6%
남 77
 
6.4%
인 68
 
5.7%
시 60
 
5.0%
역 60
 
5.0%
천 60
 
5.0%
로 59
 
4.9%
광 59
 
4.9%
호 48
 
4.0%
Other values (118) 487
40.5%
Decimal Number
ValueCountFrequency (%)
2 57
16.4%
1 49
14.1%
0 46
13.2%
3 44
12.6%
5 41
11.8%
4 34
9.8%
8 27
7.8%
7 21
 
6.0%
6 20
 
5.7%
9 9
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
P 2
40.0%
A 1
20.0%
C 1
20.0%
N 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 94
98.9%
. 1
 
1.1%
Space Separator
ValueCountFrequency (%)
355
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1202
56.3%
Common 929
43.5%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 133
 
11.1%
구 91
 
7.6%
남 77
 
6.4%
인 68
 
5.7%
시 60
 
5.0%
역 60
 
5.0%
천 60
 
5.0%
로 59
 
4.9%
광 59
 
4.9%
호 48
 
4.0%
Other values (118) 487
40.5%
Common
ValueCountFrequency (%)
355
38.2%
, 94
 
10.1%
) 61
 
6.6%
( 61
 
6.6%
2 57
 
6.1%
1 49
 
5.3%
0 46
 
5.0%
3 44
 
4.7%
5 41
 
4.4%
4 34
 
3.7%
Other values (7) 87
 
9.4%
Latin
ValueCountFrequency (%)
P 2
40.0%
A 1
20.0%
C 1
20.0%
N 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1202
56.3%
ASCII 934
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
355
38.0%
, 94
 
10.1%
) 61
 
6.5%
( 61
 
6.5%
2 57
 
6.1%
1 49
 
5.2%
0 46
 
4.9%
3 44
 
4.7%
5 41
 
4.4%
4 34
 
3.6%
Other values (11) 92
 
9.9%
Hangul
ValueCountFrequency (%)
동 133
 
11.1%
구 91
 
7.6%
남 77
 
6.4%
인 68
 
5.7%
시 60
 
5.0%
역 60
 
5.0%
천 60
 
5.0%
로 59
 
4.9%
광 59
 
4.9%
호 48
 
4.0%
Other values (118) 487
40.5%

전화번호
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2024-03-18T13:57:39.009901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.016949
Min length12

Characters and Unicode

Total characters709
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

Unique59 ?
Unique (%)100.0%

Sample

1st row032-465-0730
2nd row032-721-7585
3rd row032-464-0502
4th row032-861-8875
5th row070-8671-3424
ValueCountFrequency (%)
032-465-0730 1
 
1.7%
032-433-9900 1
 
1.7%
032-468-0114 1
 
1.7%
032-466-4339 1
 
1.7%
032-469-7580 1
 
1.7%
032-446-1273 1
 
1.7%
032-469-4266 1
 
1.7%
032-466-0101 1
 
1.7%
032-431-7715 1
 
1.7%
032-462-9200 1
 
1.7%
Other values (49) 49
83.1%
2024-03-18T13:57:39.445705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 118
16.6%
3 111
15.7%
0 99
14.0%
2 92
13.0%
4 70
9.9%
7 55
7.8%
1 44
 
6.2%
6 43
 
6.1%
5 37
 
5.2%
8 21
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 591
83.4%
Dash Punctuation 118
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 111
18.8%
0 99
16.8%
2 92
15.6%
4 70
11.8%
7 55
9.3%
1 44
 
7.4%
6 43
 
7.3%
5 37
 
6.3%
8 21
 
3.6%
9 19
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 709
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 118
16.6%
3 111
15.7%
0 99
14.0%
2 92
13.0%
4 70
9.9%
7 55
7.8%
1 44
 
6.2%
6 43
 
6.1%
5 37
 
5.2%
8 21
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 709
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 118
16.6%
3 111
15.7%
0 99
14.0%
2 92
13.0%
4 70
9.9%
7 55
7.8%
1 44
 
6.2%
6 43
 
6.1%
5 37
 
5.2%
8 21
 
3.0%

Interactions

2024-03-18T13:57:37.186382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T13:57:39.560647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번병원명소재지전화번호
연번1.0001.0001.0001.000
병원명1.0001.0001.0001.000
소재지1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2024-03-18T13:57:37.332433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:57:37.412177image/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

연번병원명소재지전화번호
01더편한장내과의원인천광역시 남동구 인하로 616, 커뮤니티프라자 5층 505호, 506호, 507호 (구월동)032-465-0730
12더편한장사랑내과의원인천광역시 남동구 남동대로 880, 올리브백화점 C동 1층 일부(101~108호 포함)호 (간석동)032-721-7585
23정이가는내과의원인천광역시 남동구 장승남로 61, 인일프라자 502호 정남호 (만수동)032-464-0502
34주안상쾌한속내과의원인천광역시 남동구 석정로 483, 2,3층 (간석동)032-861-8875
45케이-하트 내과의원인천광역시 남동구 구월남로 172, 504호, 505호 일부호 (구월동)070-8671-3424
56장편한내과의원인천광역시 남동구 논고개로123번길 35, 칼리오페 313,314호 (논현동)032-431-7501
67서창사랑내과의원인천광역시 남동구 서창남순환로216번길 12, 월드타워 3층 일부호 (서창동)032-472-0077
78정을식내과의원인천광역시 남동구 남동대로 931, 2층 일부호 (간석동)032-426-2301
89서창행복내과의원인천광역시 남동구 서창남순환로215번길 35, 5층 502~505호 (서창동, 승민프라자)032-710-7274
910이광래내과의원인천광역시 남동구 인하로 568, 8층 전체호 (구월동, 아시아드타워(상업5-2))032-891-3456
연번병원명소재지전화번호
4950장태일내과의원인천광역시 남동구 구월로 284 (구월동)032-471-7500
5051최내과의원인천광역시 남동구 호구포로 885 (간석동)032-423-2313
5152박무정내과의원인천광역시 남동구 남촌동로25번길 4, 2층 (남촌동)032-471-5777
5253선린내과의원인천광역시 남동구 장승남로 36 (만수동)032-465-9996
5354연세내과의원인천광역시 남동구 호구포로 808, 102호 (구월동, 수정빌딩)032-464-6953
5455박인규내과의원인천광역시 남동구 문화서로4번길 38, 2층 (구월동)032-433-6718
5556이찬주내과의원인천광역시 남동구 경인로 520, 103호 (간석동, 탑프라자)032-432-6406
5657세란내과의원인천광역시 남동구 만수로 47, 2층 401호 (만수동)032-464-8275
5758최병길내과의원인천광역시 남동구 석산로 146 (간석동)032-431-6220
5859박재홍내과의원인천광역시 남동구 인주대로 861 (만수동)032-465-0500