Overview

Dataset statistics

Number of variables5
Number of observations66
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory42.9 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description인천광역시 계양구 노인의료복지시설 현황입니다. 시설명, 도로명주소, 전화번호, 행정동을 포함하는 데이터입니다.
Author인천광역시 계양구
URLhttps://www.data.go.kr/data/15100621/fileData.do

Alerts

연번 has unique valuesUnique
시설명 has unique valuesUnique
도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-15 00:04:48.151440
Analysis finished2024-03-15 00:04:49.383533
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.5
Minimum1
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-03-15T09:04:49.552559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.25
Q117.25
median33.5
Q349.75
95-th percentile62.75
Maximum66
Range65
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation19.196354
Coefficient of variation (CV)0.57302549
Kurtosis-1.2
Mean33.5
Median Absolute Deviation (MAD)16.5
Skewness0
Sum2211
Variance368.5
MonotonicityStrictly increasing
2024-03-15T09:04:49.995798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
51 1
 
1.5%
37 1
 
1.5%
38 1
 
1.5%
39 1
 
1.5%
40 1
 
1.5%
41 1
 
1.5%
42 1
 
1.5%
43 1
 
1.5%
44 1
 
1.5%
Other values (56) 56
84.8%
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 (%)
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%
57 1
1.5%

시설명
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size656.0 B
2024-03-15T09:04:50.818642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length6.6212121
Min length5

Characters and Unicode

Total characters437
Distinct characters118
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)100.0%

Sample

1st row계양노인전문요양원
2nd row참사랑소망의집
3rd row우리복지요양원계양
4th row아름다운요양원
5th row삼성요양원
ValueCountFrequency (%)
요양원 3
 
4.0%
계양노인전문요양원 1
 
1.3%
연세노인전문요양원 1
 
1.3%
가득요양원 1
 
1.3%
간호재활요양원 1
 
1.3%
다섬요양원 1
 
1.3%
고운빛요양원 1
 
1.3%
복지센터 1
 
1.3%
효성비전노인 1
 
1.3%
고은요양원 1
 
1.3%
Other values (63) 63
84.0%
2024-03-15T09:04:52.062704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
양 70
 
16.0%
요 62
 
14.2%
원 61
 
14.0%
인 10
 
2.3%
9
 
2.1%
사 9
 
2.1%
랑 9
 
2.1%
노 8
 
1.8%
효 7
 
1.6%
계 7
 
1.6%
Other values (108) 185
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 426
97.5%
Space Separator 9
 
2.1%
Decimal Number 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 70
 
16.4%
요 62
 
14.6%
원 61
 
14.3%
인 10
 
2.3%
사 9
 
2.1%
랑 9
 
2.1%
노 8
 
1.9%
효 7
 
1.6%
계 7
 
1.6%
성 6
 
1.4%
Other values (105) 177
41.5%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 425
97.3%
Common 11
 
2.5%
Han 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 70
 
16.5%
요 62
 
14.6%
원 61
 
14.4%
인 10
 
2.4%
사 9
 
2.1%
랑 9
 
2.1%
노 8
 
1.9%
효 7
 
1.6%
계 7
 
1.6%
성 6
 
1.4%
Other values (104) 176
41.4%
Common
ValueCountFrequency (%)
9
81.8%
2 1
 
9.1%
1 1
 
9.1%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 425
97.3%
ASCII 11
 
2.5%
CJK 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
양 70
 
16.5%
요 62
 
14.6%
원 61
 
14.4%
인 10
 
2.4%
사 9
 
2.1%
랑 9
 
2.1%
노 8
 
1.9%
효 7
 
1.6%
계 7
 
1.6%
성 6
 
1.4%
Other values (104) 176
41.4%
ASCII
ValueCountFrequency (%)
9
81.8%
2 1
 
9.1%
1 1
 
9.1%
CJK
ValueCountFrequency (%)
美 1
100.0%

도로명주소
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size656.0 B
2024-03-15T09:04:53.096282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length38
Mean length25.136364
Min length18

Characters and Unicode

Total characters1659
Distinct characters91
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

Unique66 ?
Unique (%)100.0%

Sample

1st row인천광역시 계양구 아나지로 517
2nd row인천광역시 계양구 마장로 559번길 10
3rd row인천광역시 계양구 오조산로 57번길 11-1, 5, 8~10층
4th row인천광역시 계양구 장제로755번길 32, 2층
5th row인천광역시 계양구 주부토로 525, 4층
ValueCountFrequency (%)
인천광역시 66
20.1%
계양구 66
20.1%
장제로 7
 
2.1%
4층 6
 
1.8%
오조산로 5
 
1.5%
효서로 5
 
1.5%
3층 5
 
1.5%
아나지로75 4
 
1.2%
6층 4
 
1.2%
5층 3
 
0.9%
Other values (121) 157
47.9%
2024-03-15T09:04:54.598753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
265
 
16.0%
계 80
 
4.8%
양 72
 
4.3%
, 67
 
4.0%
인 66
 
4.0%
천 66
 
4.0%
구 66
 
4.0%
시 66
 
4.0%
역 66
 
4.0%
광 66
 
4.0%
Other values (81) 779
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 942
56.8%
Decimal Number 334
 
20.1%
Space Separator 265
 
16.0%
Other Punctuation 67
 
4.0%
Open Punctuation 17
 
1.0%
Close Punctuation 17
 
1.0%
Dash Punctuation 8
 
0.5%
Math Symbol 7
 
0.4%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 80
 
8.5%
양 72
 
7.6%
인 66
 
7.0%
천 66
 
7.0%
구 66
 
7.0%
시 66
 
7.0%
역 66
 
7.0%
광 66
 
7.0%
로 65
 
6.9%
층 39
 
4.1%
Other values (63) 290
30.8%
Decimal Number
ValueCountFrequency (%)
1 64
19.2%
5 51
15.3%
7 38
11.4%
4 34
10.2%
0 34
10.2%
2 30
9.0%
3 28
8.4%
8 24
 
7.2%
6 18
 
5.4%
9 13
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
D 1
50.0%
Space Separator
ValueCountFrequency (%)
265
100.0%
Other Punctuation
ValueCountFrequency (%)
, 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 942
56.8%
Common 715
43.1%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 80
 
8.5%
양 72
 
7.6%
인 66
 
7.0%
천 66
 
7.0%
구 66
 
7.0%
시 66
 
7.0%
역 66
 
7.0%
광 66
 
7.0%
로 65
 
6.9%
층 39
 
4.1%
Other values (63) 290
30.8%
Common
ValueCountFrequency (%)
265
37.1%
, 67
 
9.4%
1 64
 
9.0%
5 51
 
7.1%
7 38
 
5.3%
4 34
 
4.8%
0 34
 
4.8%
2 30
 
4.2%
3 28
 
3.9%
8 24
 
3.4%
Other values (6) 80
 
11.2%
Latin
ValueCountFrequency (%)
A 1
50.0%
D 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 942
56.8%
ASCII 717
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
265
37.0%
, 67
 
9.3%
1 64
 
8.9%
5 51
 
7.1%
7 38
 
5.3%
4 34
 
4.7%
0 34
 
4.7%
2 30
 
4.2%
3 28
 
3.9%
8 24
 
3.3%
Other values (8) 82
 
11.4%
Hangul
ValueCountFrequency (%)
계 80
 
8.5%
양 72
 
7.6%
인 66
 
7.0%
천 66
 
7.0%
구 66
 
7.0%
시 66
 
7.0%
역 66
 
7.0%
광 66
 
7.0%
로 65
 
6.9%
층 39
 
4.1%
Other values (63) 290
30.8%

전화번호
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size656.0 B
2024-03-15T09:04:55.654802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.969697
Min length9

Characters and Unicode

Total characters790
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

Unique66 ?
Unique (%)100.0%

Sample

1st row032-552-9020
2nd row032-546-0576
3rd row032-545-6222
4th row032-555-5166
5th row032-542-6945
ValueCountFrequency (%)
032-552-9020 1
 
1.5%
032-555-7573 1
 
1.5%
032-555-6600 1
 
1.5%
032-511-8495 1
 
1.5%
032-546-9545 1
 
1.5%
032-543-1987 1
 
1.5%
032-555-0021 1
 
1.5%
032-545-5535 1
 
1.5%
032-546-4000 1
 
1.5%
032-724-9292 1
 
1.5%
Other values (56) 56
84.8%
2024-03-15T09:04:57.143406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 146
18.5%
- 131
16.6%
0 121
15.3%
2 97
12.3%
3 93
11.8%
4 54
 
6.8%
7 35
 
4.4%
1 33
 
4.2%
6 31
 
3.9%
9 27
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 659
83.4%
Dash Punctuation 131
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 146
22.2%
0 121
18.4%
2 97
14.7%
3 93
14.1%
4 54
 
8.2%
7 35
 
5.3%
1 33
 
5.0%
6 31
 
4.7%
9 27
 
4.1%
8 22
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 131
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 790
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 146
18.5%
- 131
16.6%
0 121
15.3%
2 97
12.3%
3 93
11.8%
4 54
 
6.8%
7 35
 
4.4%
1 33
 
4.2%
6 31
 
3.9%
9 27
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 790
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 146
18.5%
- 131
16.6%
0 121
15.3%
2 97
12.3%
3 93
11.8%
4 54
 
6.8%
7 35
 
4.4%
1 33
 
4.2%
6 31
 
3.9%
9 27
 
3.4%

행정동
Categorical

Distinct13
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Memory size656.0 B
계산4동
18 
작전서운동
9 
효성2동
8 
작전2동
7 
효성1동
6 
Other values (8)
18 

Length

Max length5
Median length4
Mean length4.0757576
Min length2

Unique

Unique3 ?
Unique (%)4.5%

Sample

1st row작전서운동
2nd row효성1동
3rd row계산4동
4th row계산3동
5th row계산1동

Common Values

ValueCountFrequency (%)
계산4동 18
27.3%
작전서운동 9
13.6%
효성2동 8
12.1%
작전2동 7
 
10.6%
효성1동 6
 
9.1%
계양2동 5
 
7.6%
계산3동 3
 
4.5%
계산1동 3
 
4.5%
계산2동 2
 
3.0%
작전 2
 
3.0%
Other values (3) 3
 
4.5%

Length

2024-03-15T09:04:57.587889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
계산4동 18
27.3%
작전서운동 9
13.6%
효성2동 8
12.1%
작전2동 7
 
10.6%
효성1동 6
 
9.1%
계양2동 5
 
7.6%
계산3동 3
 
4.5%
계산1동 3
 
4.5%
계산2동 2
 
3.0%
작전 2
 
3.0%
Other values (3) 3
 
4.5%

Interactions

2024-03-15T09:04:48.656590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T09:04:57.789144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명도로명주소전화번호행정동
연번1.0001.0001.0001.0000.415
시설명1.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000
행정동0.4151.0001.0001.0001.000
2024-03-15T09:04:57.958073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동
연번1.0000.209
행정동0.2091.000

Missing values

2024-03-15T09:04:48.981196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T09:04:49.285415image/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

연번시설명도로명주소전화번호행정동
01계양노인전문요양원인천광역시 계양구 아나지로 517032-552-9020작전서운동
12참사랑소망의집인천광역시 계양구 마장로 559번길 10032-546-0576효성1동
23우리복지요양원계양인천광역시 계양구 오조산로 57번길 11-1, 5, 8~10층032-545-6222계산4동
34아름다운요양원인천광역시 계양구 장제로755번길 32, 2층032-555-5166계산3동
45삼성요양원인천광역시 계양구 주부토로 525, 4층032-542-6945계산1동
56계양다사랑요양원인천광역시 계양구 계산로 148, 4층032-555-8274계산3동
67하나미엘요양원인천광역시 계양구 경명대로1157,3,4,5,6층032-546-7999계양2동
78푸른성노인요양원인천광역시 계양구 안남로 480, 1층032-272-0981효성2동
89제1푸른성 노인요양원인천광역시 계양구 안남로 480, 4층032-554-3032효성2동
910샛별요양원인천광역시 계양구 장제로 708, 412호070-7501-1886작전서운동
연번시설명도로명주소전화번호행정동
5657너싱홈호수 간호전문요양원인천광역시 계양구 장제로718, 6층032-548-0601작전서운동
5758인천하이요양원인천광역시 계양구 주부토로 465,3~4층032-555-4300계산2동
5859은평요양원2호점인천광역시 계양구 봉오대로677번길 29,3층(작전동 854-18)032-545-9540작전2동
5960가족사랑중앙 효 요양원인천광역시 계양구 주부토로 465, 3~4층 (작전동)032-548-3737작전2동
6061계양늘푸른요양원인천광역시 계양구 양지로 170(귤현동)032-552-2233계양3동
6162서울요양원인천광역시 계양구 장제로 755 (계산동, 원신빌딩)032-545-8888계산3동
6263동보요양원인천광역시 계양구 아나지로 311, 401호(작전동, 동보아파트 1차 상가동)032-547-0997작전1동
6364장수요양원인천광역시 계양구 장제로 916(병방동)032-545-3333계양2동
6465계양효요양원인천광역시 계양구 장제로 708, 6층(작전동, 한샘프라자)032-555-6600작전서운동
6566프라미스재활요양원인천광역시 계양구 계양문화로96, 601호(용종동, 강북프라자)032-555-5111계산4동