Overview

Dataset statistics

Number of variables4
Number of observations43
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory36.0 B

Variable types

Numeric1
Text3

Dataset

Description인천광역시 계양구 관내 국가암 조기 검진 사업 검진 기관에 대한 데이터로, 검진 기관 명칭, 전화번호, 도로명주소 등을 제공합니다.
Author인천광역시 계양구
URLhttps://www.data.go.kr/data/15062458/fileData.do

Alerts

연번 has unique valuesUnique
검진기관명 has unique valuesUnique
전화번호 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 12:15:05.915536
Analysis finished2024-03-14 12:15:06.915410
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22
Minimum1
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size515.0 B
2024-03-14T21:15:07.128765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.1
Q111.5
median22
Q332.5
95-th percentile40.9
Maximum43
Range42
Interquartile range (IQR)21

Descriptive statistics

Standard deviation12.556539
Coefficient of variation (CV)0.57075176
Kurtosis-1.2
Mean22
Median Absolute Deviation (MAD)11
Skewness0
Sum946
Variance157.66667
MonotonicityStrictly increasing
2024-03-14T21:15:07.545599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1 1
 
2.3%
2 1
 
2.3%
25 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%
34 1
2.3%

검진기관명
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size472.0 B
2024-03-14T21:15:08.401014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length7.1860465
Min length4

Characters and Unicode

Total characters309
Distinct characters95
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
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 row방규태내과의원
2nd row서울메디컬의원
3rd row성도대항외과의원
4th row하헌돈내과의원
5th row김석연내과의원
ValueCountFrequency (%)
방규태내과의원 1
 
2.3%
우리들내과의원 1
 
2.3%
두리산부인과(두리내과의원 1
 
2.3%
편안내과의원 1
 
2.3%
한마음병원 1
 
2.3%
더드림병원 1
 
2.3%
계양성모산부인과의원 1
 
2.3%
건강한내과의원 1
 
2.3%
인천세종병원 1
 
2.3%
한림병원 1
 
2.3%
Other values (33) 33
76.7%
2024-03-14T21:15:09.403862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 43
 
13.9%
의 35
 
11.3%
과 31
 
10.0%
내 24
 
7.8%
인 9
 
2.9%
병 8
 
2.6%
성 8
 
2.6%
하 6
 
1.9%
한 5
 
1.6%
산 5
 
1.6%
Other values (85) 135
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 304
98.4%
Decimal Number 3
 
1.0%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 43
 
14.1%
의 35
 
11.5%
과 31
 
10.2%
내 24
 
7.9%
인 9
 
3.0%
병 8
 
2.6%
성 8
 
2.6%
하 6
 
2.0%
한 5
 
1.6%
산 5
 
1.6%
Other values (80) 130
42.8%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
6 1
33.3%
5 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 304
98.4%
Common 5
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 43
 
14.1%
의 35
 
11.5%
과 31
 
10.2%
내 24
 
7.9%
인 9
 
3.0%
병 8
 
2.6%
성 8
 
2.6%
하 6
 
2.0%
한 5
 
1.6%
산 5
 
1.6%
Other values (80) 130
42.8%
Common
ValueCountFrequency (%)
( 1
20.0%
) 1
20.0%
3 1
20.0%
6 1
20.0%
5 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 304
98.4%
ASCII 5
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 43
 
14.1%
의 35
 
11.5%
과 31
 
10.2%
내 24
 
7.9%
인 9
 
3.0%
병 8
 
2.6%
성 8
 
2.6%
하 6
 
2.0%
한 5
 
1.6%
산 5
 
1.6%
Other values (80) 130
42.8%
ASCII
ValueCountFrequency (%)
( 1
20.0%
) 1
20.0%
3 1
20.0%
6 1
20.0%
5 1
20.0%

전화번호
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size472.0 B
2024-03-14T21:15:10.261725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.860465
Min length9

Characters and Unicode

Total characters510
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 row032-543-8275
2nd row032-556-8275
3rd row032-551-6308
4th row032-554-0075
5th row032-555-0600
ValueCountFrequency (%)
032-543-8275 1
 
2.3%
032-268-0090 1
 
2.3%
032-545-7030 1
 
2.3%
032-545-2191 1
 
2.3%
032-553-0070 1
 
2.3%
032-282-7575 1
 
2.3%
032-546-8100 1
 
2.3%
032-544-5475 1
 
2.3%
032-240-8000 1
 
2.3%
032-540-9114 1
 
2.3%
Other values (33) 33
76.7%
2024-03-14T21:15:11.292582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 86
16.9%
- 84
16.5%
5 81
15.9%
2 62
12.2%
3 58
11.4%
4 41
8.0%
7 24
 
4.7%
6 22
 
4.3%
1 21
 
4.1%
8 20
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 426
83.5%
Dash Punctuation 84
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 86
20.2%
5 81
19.0%
2 62
14.6%
3 58
13.6%
4 41
9.6%
7 24
 
5.6%
6 22
 
5.2%
1 21
 
4.9%
8 20
 
4.7%
9 11
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 510
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 86
16.9%
- 84
16.5%
5 81
15.9%
2 62
12.2%
3 58
11.4%
4 41
8.0%
7 24
 
4.7%
6 22
 
4.3%
1 21
 
4.1%
8 20
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 510
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 86
16.9%
- 84
16.5%
5 81
15.9%
2 62
12.2%
3 58
11.4%
4 41
8.0%
7 24
 
4.7%
6 22
 
4.3%
1 21
 
4.1%
8 20
 
3.9%

주소
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size472.0 B
2024-03-14T21:15:12.306400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length28
Mean length22.744186
Min length17

Characters and Unicode

Total characters978
Distinct characters89
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
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 row인천광역시 계양구 경명대로 1074 삼환1빌딩
2nd row인천광역시 계양구 계양대로 188
3rd row인천광역시 계양구 경명대로 1090 계산메가타운
4th row인천광역시 계양구 주부토로 479 축협계산빌딩
5th row인천광역시 계양구 경명대로 1048 동성빌딩 3층
ValueCountFrequency (%)
인천광역시 43
20.5%
계양구 43
20.5%
장제로 9
 
4.3%
계양대로 8
 
3.8%
경명대로 6
 
2.9%
안남로 4
 
1.9%
효서로 3
 
1.4%
2층 3
 
1.4%
3층 2
 
1.0%
동양로 2
 
1.0%
Other values (80) 87
41.4%
2024-03-14T21:15:13.734468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
168
17.2%
계 62
 
6.3%
양 57
 
5.8%
인 43
 
4.4%
천 43
 
4.4%
구 43
 
4.4%
로 43
 
4.4%
시 43
 
4.4%
역 43
 
4.4%
광 43
 
4.4%
Other values (79) 390
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 624
63.8%
Space Separator 168
 
17.2%
Decimal Number 164
 
16.8%
Other Punctuation 12
 
1.2%
Close Punctuation 4
 
0.4%
Open Punctuation 4
 
0.4%
Uppercase Letter 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 62
 
9.9%
양 57
 
9.1%
인 43
 
6.9%
천 43
 
6.9%
구 43
 
6.9%
로 43
 
6.9%
시 43
 
6.9%
역 43
 
6.9%
광 43
 
6.9%
대 19
 
3.0%
Other values (63) 185
29.6%
Decimal Number
ValueCountFrequency (%)
1 40
24.4%
0 24
14.6%
2 17
10.4%
4 16
 
9.8%
7 14
 
8.5%
3 14
 
8.5%
5 12
 
7.3%
9 12
 
7.3%
8 8
 
4.9%
6 7
 
4.3%
Space Separator
ValueCountFrequency (%)
168
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 624
63.8%
Common 353
36.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 62
 
9.9%
양 57
 
9.1%
인 43
 
6.9%
천 43
 
6.9%
구 43
 
6.9%
로 43
 
6.9%
시 43
 
6.9%
역 43
 
6.9%
광 43
 
6.9%
대 19
 
3.0%
Other values (63) 185
29.6%
Common
ValueCountFrequency (%)
168
47.6%
1 40
 
11.3%
0 24
 
6.8%
2 17
 
4.8%
4 16
 
4.5%
7 14
 
4.0%
3 14
 
4.0%
5 12
 
3.4%
, 12
 
3.4%
9 12
 
3.4%
Other values (5) 24
 
6.8%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 624
63.8%
ASCII 354
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
168
47.5%
1 40
 
11.3%
0 24
 
6.8%
2 17
 
4.8%
4 16
 
4.5%
7 14
 
4.0%
3 14
 
4.0%
5 12
 
3.4%
, 12
 
3.4%
9 12
 
3.4%
Other values (6) 25
 
7.1%
Hangul
ValueCountFrequency (%)
계 62
 
9.9%
양 57
 
9.1%
인 43
 
6.9%
천 43
 
6.9%
구 43
 
6.9%
로 43
 
6.9%
시 43
 
6.9%
역 43
 
6.9%
광 43
 
6.9%
대 19
 
3.0%
Other values (63) 185
29.6%

Interactions

2024-03-14T21:15:06.221087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T21:15:13.996145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번검진기관명전화번호주소
연번1.0001.0001.0001.000
검진기관명1.0001.0001.0001.000
전화번호1.0001.0001.0001.000
주소1.0001.0001.0001.000

Missing values

2024-03-14T21:15:06.528813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T21:15:06.806704image/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

연번검진기관명전화번호주소
01방규태내과의원032-543-8275인천광역시 계양구 경명대로 1074 삼환1빌딩
12서울메디컬의원032-556-8275인천광역시 계양구 계양대로 188
23성도대항외과의원032-551-6308인천광역시 계양구 경명대로 1090 계산메가타운
34하헌돈내과의원032-554-0075인천광역시 계양구 주부토로 479 축협계산빌딩
45김석연내과의원032-555-0600인천광역시 계양구 경명대로 1048 동성빌딩 3층
56인천마디병원1644-8344인천광역시 계양구 계양대로 204
67계양하루여성외과의원032-542-6875인천광역시 계양구 계양대로 214, 에이스타운 401호
78더바른내과의원032-541-5353인천광역시 계양구 계양대로 149, 5층
89유석환내과의원032-545-0642인천광역시 계양구 경명대로 1049
910인천하이병원032-555-1675인천광역시 계양구 경명대로 1107
연번검진기관명전화번호주소
3334임창재내과의원032-552-0900인천광역시 계양구 안남로 548, 효성프라자
3435하이큐송석호내과의원032-543-6001인천광역시 계양구 안남로 512
3536효성의원032-544-0061인천광역시 계양구 안남로 554번길 1, 대정프라자
3637세브란스의원032-552-5871인천광역시 계양구 효서로 53, 301호
3738봉정민내과의원032-719-7797인천광역시 계양구 장제로 714 세종팰리스 2층
3839삼성오케이의원032-555-9401인천광역시 계양구 안남로 571 2층 (효성동)
3940서울신내과의원032-545-0332인천광역시 계양구 오조산로 3 한미리빌딩 2층 201호 (작전동)
4041에스산부인과의원032-715-4328인천광역시 계양구 계양대로119번길 1 안톤스테이 101호~105호 (작전동)
4142마음속내과의원032-541-6767인천광역시 계양구 장제로 871 3,4층
4243유안내과의원032-543-8500인천광역시 계양구 장제로 916 301호