Overview

Dataset statistics

Number of variables7
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory61.3 B

Variable types

Numeric1
Text4
Categorical2

Dataset

Description연번,기관명,기관(급여)종류,기관전화번호,FAX번호,설립구분,기관주소
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-11597/S/1/datasetView.do

Alerts

연번 has unique valuesUnique
기관명 has unique valuesUnique

Reproduction

Analysis started2024-04-06 10:07:31.024287
Analysis finished2024-04-06 10:07:32.750063
Duration1.73 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-04-06T19:07:32.852556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q18.5
median16
Q323.5
95-th percentile29.5
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.0921211
Coefficient of variation (CV)0.56825757
Kurtosis-1.2
Mean16
Median Absolute Deviation (MAD)8
Skewness0
Sum496
Variance82.666667
MonotonicityStrictly increasing
2024-04-06T19:07:33.111963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 1
 
3.2%
2 1
 
3.2%
31 1
 
3.2%
30 1
 
3.2%
29 1
 
3.2%
28 1
 
3.2%
27 1
 
3.2%
26 1
 
3.2%
25 1
 
3.2%
24 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1 1
3.2%
2 1
3.2%
3 1
3.2%
4 1
3.2%
5 1
3.2%
6 1
3.2%
7 1
3.2%
8 1
3.2%
9 1
3.2%
10 1
3.2%
ValueCountFrequency (%)
31 1
3.2%
30 1
3.2%
29 1
3.2%
28 1
3.2%
27 1
3.2%
26 1
3.2%
25 1
3.2%
24 1
3.2%
23 1
3.2%
22 1
3.2%

기관명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-04-06T19:07:33.474933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length7.5483871
Min length5

Characters and Unicode

Total characters234
Distinct characters66
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

Unique31 ?
Unique (%)100.0%

Sample

1st row행복한노인요양원1
2nd row강북하루정요양원
3rd row거목실버홈
4th row사랑나눔요양원2
5th rowe-포근한 요양원
ValueCountFrequency (%)
행복한노인요양원1 1
 
3.1%
강북하루정요양원 1
 
3.1%
번동자연재활요양원 1
 
3.1%
사랑나눔요양원3 1
 
3.1%
햇살요양원 1
 
3.1%
봄날북한산요양원 1
 
3.1%
행복한노인요양원2 1
 
3.1%
거목노인요양원 1
 
3.1%
참사랑노인요양센터 1
 
3.1%
강북유진복지센터 1
 
3.1%
Other values (22) 22
68.8%
2024-04-06T19:07:34.046193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
요 27
 
11.5%
양 27
 
11.5%
원 24
 
10.3%
인 9
 
3.8%
노 8
 
3.4%
북 8
 
3.4%
강 6
 
2.6%
복 6
 
2.6%
사 6
 
2.6%
센 5
 
2.1%
Other values (56) 108
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 220
94.0%
Decimal Number 11
 
4.7%
Lowercase Letter 1
 
0.4%
Dash Punctuation 1
 
0.4%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
요 27
 
12.3%
양 27
 
12.3%
원 24
 
10.9%
인 9
 
4.1%
노 8
 
3.6%
북 8
 
3.6%
강 6
 
2.7%
복 6
 
2.7%
사 6
 
2.7%
센 5
 
2.3%
Other values (50) 94
42.7%
Decimal Number
ValueCountFrequency (%)
2 5
45.5%
1 4
36.4%
3 2
 
18.2%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 220
94.0%
Common 13
 
5.6%
Latin 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
요 27
 
12.3%
양 27
 
12.3%
원 24
 
10.9%
인 9
 
4.1%
노 8
 
3.6%
북 8
 
3.6%
강 6
 
2.7%
복 6
 
2.7%
사 6
 
2.7%
센 5
 
2.3%
Other values (50) 94
42.7%
Common
ValueCountFrequency (%)
2 5
38.5%
1 4
30.8%
3 2
 
15.4%
- 1
 
7.7%
1
 
7.7%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 220
94.0%
ASCII 14
 
6.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
요 27
 
12.3%
양 27
 
12.3%
원 24
 
10.9%
인 9
 
4.1%
노 8
 
3.6%
북 8
 
3.6%
강 6
 
2.7%
복 6
 
2.7%
사 6
 
2.7%
센 5
 
2.3%
Other values (50) 94
42.7%
ASCII
ValueCountFrequency (%)
2 5
35.7%
1 4
28.6%
3 2
 
14.3%
e 1
 
7.1%
- 1
 
7.1%
1
 
7.1%

기관(급여)종류
Categorical

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
노인요양공동생활가정
22 
노인요양시설(개정법)
8 
노인요양시설(개정법),치매전담실 가형 1실
 
1

Length

Max length23
Median length10
Mean length10.677419
Min length10

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row노인요양공동생활가정
2nd row노인요양공동생활가정
3rd row노인요양공동생활가정
4th row노인요양공동생활가정
5th row노인요양시설(개정법)

Common Values

ValueCountFrequency (%)
노인요양공동생활가정 22
71.0%
노인요양시설(개정법) 8
 
25.8%
노인요양시설(개정법),치매전담실 가형 1실 1
 
3.2%

Length

2024-04-06T19:07:34.272564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:07:34.443369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인요양공동생활가정 22
66.7%
노인요양시설(개정법 8
 
24.2%
노인요양시설(개정법),치매전담실 1
 
3.0%
가형 1
 
3.0%
1실 1
 
3.0%

기관전화번호
Text

Distinct25
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-04-06T19:07:34.731908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.16129
Min length11

Characters and Unicode

Total characters346
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

Unique20 ?
Unique (%)64.5%

Sample

1st row02-902-6400
2nd row02-907-1235
3rd row02-904-7782
4th row02-999-1366
5th row02-989-9987
ValueCountFrequency (%)
02-904-7782 3
 
9.7%
02-987-8879 2
 
6.5%
070-8872-6401 2
 
6.5%
02-900-3878 2
 
6.5%
02-999-2234 2
 
6.5%
02-902-6400 1
 
3.2%
02-999-8334 1
 
3.2%
02-985-2388 1
 
3.2%
02-997-1388 1
 
3.2%
02-991-5111 1
 
3.2%
Other values (15) 15
48.4%
2024-04-06T19:07:35.348179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 62
17.9%
0 56
16.2%
9 54
15.6%
2 47
13.6%
8 35
10.1%
7 24
 
6.9%
1 17
 
4.9%
3 15
 
4.3%
4 13
 
3.8%
6 12
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 284
82.1%
Dash Punctuation 62
 
17.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 56
19.7%
9 54
19.0%
2 47
16.5%
8 35
12.3%
7 24
8.5%
1 17
 
6.0%
3 15
 
5.3%
4 13
 
4.6%
6 12
 
4.2%
5 11
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 346
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 62
17.9%
0 56
16.2%
9 54
15.6%
2 47
13.6%
8 35
10.1%
7 24
 
6.9%
1 17
 
4.9%
3 15
 
4.3%
4 13
 
3.8%
6 12
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 346
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 62
17.9%
0 56
16.2%
9 54
15.6%
2 47
13.6%
8 35
10.1%
7 24
 
6.9%
1 17
 
4.9%
3 15
 
4.3%
4 13
 
3.8%
6 12
 
3.5%

FAX번호
Text

Distinct23
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-04-06T19:07:35.644927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.193548
Min length11

Characters and Unicode

Total characters347
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

Unique17 ?
Unique (%)54.8%

Sample

1st row02-902-6406
2nd row02-995-7631
3rd row02-903-8782
4th row02-997-0400
5th row02-989-9967
ValueCountFrequency (%)
02-902-6406 3
 
9.7%
02-903-8782 3
 
9.7%
02-972-1966 2
 
6.5%
070-4009-9639 2
 
6.5%
02-987-8870 2
 
6.5%
02-900-3879 2
 
6.5%
02-982-8870 1
 
3.2%
02-990-5557 1
 
3.2%
02-985-0120 1
 
3.2%
070-8117-6476 1
 
3.2%
Other values (13) 13
41.9%
2024-04-06T19:07:36.181017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 68
19.6%
- 62
17.9%
9 58
16.7%
2 42
12.1%
8 28
8.1%
6 25
 
7.2%
7 21
 
6.1%
1 13
 
3.7%
3 11
 
3.2%
5 11
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 285
82.1%
Dash Punctuation 62
 
17.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 68
23.9%
9 58
20.4%
2 42
14.7%
8 28
9.8%
6 25
 
8.8%
7 21
 
7.4%
1 13
 
4.6%
3 11
 
3.9%
5 11
 
3.9%
4 8
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 347
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 68
19.6%
- 62
17.9%
9 58
16.7%
2 42
12.1%
8 28
8.1%
6 25
 
7.2%
7 21
 
6.1%
1 13
 
3.7%
3 11
 
3.2%
5 11
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 347
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 68
19.6%
- 62
17.9%
9 58
16.7%
2 42
12.1%
8 28
8.1%
6 25
 
7.2%
7 21
 
6.1%
1 13
 
3.7%
3 11
 
3.2%
5 11
 
3.2%

설립구분
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
개인
22 
법인
9 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row법인
2nd row개인
3rd row개인
4th row법인
5th row개인

Common Values

ValueCountFrequency (%)
개인 22
71.0%
법인 9
29.0%

Length

2024-04-06T19:07:36.402381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:07:36.567938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 22
71.0%
법인 9
29.0%

기관주소
Text

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-04-06T19:07:36.874716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length34
Mean length29.516129
Min length23

Characters and Unicode

Total characters915
Distinct characters65
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

Unique29 ?
Unique (%)93.5%

Sample

1st row서울특별시 강북구 덕릉로 46, 2층 2호 (수유동)
2nd row서울특별시 강북구 삼양로 433, 5층 (수유동)
3rd row서울특별시 강북구 한천로 1160, 3층 (수유동)
4th row서울특별시 강북구 도봉로 243, 4층 (미아동)
5th row서울특별시 강북구 도봉로 266, 2층 (미아동, 원지빌딩)
ValueCountFrequency (%)
서울특별시 31
16.4%
강북구 31
16.4%
수유동 22
 
11.6%
한천로 7
 
3.7%
3층 6
 
3.2%
2층 6
 
3.2%
4층 5
 
2.6%
미아동 5
 
2.6%
도봉로 5
 
2.6%
삼양로77가길 3
 
1.6%
Other values (50) 68
36.0%
2024-04-06T19:07:37.550739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
158
 
17.3%
, 40
 
4.4%
북 32
 
3.5%
구 32
 
3.5%
동 32
 
3.5%
서 31
 
3.4%
특 31
 
3.4%
별 31
 
3.4%
시 31
 
3.4%
강 31
 
3.4%
Other values (55) 466
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 513
56.1%
Space Separator 158
 
17.3%
Decimal Number 138
 
15.1%
Other Punctuation 41
 
4.5%
Open Punctuation 31
 
3.4%
Close Punctuation 31
 
3.4%
Math Symbol 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 32
 
6.2%
구 32
 
6.2%
동 32
 
6.2%
서 31
 
6.0%
특 31
 
6.0%
별 31
 
6.0%
시 31
 
6.0%
강 31
 
6.0%
로 31
 
6.0%
울 31
 
6.0%
Other values (38) 200
39.0%
Decimal Number
ValueCountFrequency (%)
1 23
16.7%
2 23
16.7%
4 20
14.5%
3 18
13.0%
7 12
8.7%
0 10
7.2%
5 10
7.2%
6 9
 
6.5%
9 7
 
5.1%
8 6
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 40
97.6%
. 1
 
2.4%
Space Separator
ValueCountFrequency (%)
158
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 513
56.1%
Common 402
43.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 32
 
6.2%
구 32
 
6.2%
동 32
 
6.2%
서 31
 
6.0%
특 31
 
6.0%
별 31
 
6.0%
시 31
 
6.0%
강 31
 
6.0%
로 31
 
6.0%
울 31
 
6.0%
Other values (38) 200
39.0%
Common
ValueCountFrequency (%)
158
39.3%
, 40
 
10.0%
( 31
 
7.7%
) 31
 
7.7%
1 23
 
5.7%
2 23
 
5.7%
4 20
 
5.0%
3 18
 
4.5%
7 12
 
3.0%
0 10
 
2.5%
Other values (7) 36
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 513
56.1%
ASCII 402
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
158
39.3%
, 40
 
10.0%
( 31
 
7.7%
) 31
 
7.7%
1 23
 
5.7%
2 23
 
5.7%
4 20
 
5.0%
3 18
 
4.5%
7 12
 
3.0%
0 10
 
2.5%
Other values (7) 36
 
9.0%
Hangul
ValueCountFrequency (%)
북 32
 
6.2%
구 32
 
6.2%
동 32
 
6.2%
서 31
 
6.0%
특 31
 
6.0%
별 31
 
6.0%
시 31
 
6.0%
강 31
 
6.0%
로 31
 
6.0%
울 31
 
6.0%
Other values (38) 200
39.0%

Interactions

2024-04-06T19:07:31.582242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T19:07:37.805081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관명기관(급여)종류기관전화번호FAX번호설립구분기관주소
연번1.0001.0000.0000.8130.7060.0000.945
기관명1.0001.0001.0001.0001.0001.0001.000
기관(급여)종류0.0001.0001.0001.0001.0000.1421.000
기관전화번호0.8131.0001.0001.0001.0001.0001.000
FAX번호0.7061.0001.0001.0001.0001.0001.000
설립구분0.0001.0000.1421.0001.0001.0001.000
기관주소0.9451.0001.0001.0001.0001.0001.000
2024-04-06T19:07:38.053104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관(급여)종류설립구분
기관(급여)종류1.0000.225
설립구분0.2251.000
2024-04-06T19:07:38.195179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관(급여)종류설립구분
연번1.0000.1070.000
기관(급여)종류0.1071.0000.225
설립구분0.0000.2251.000

Missing values

2024-04-06T19:07:32.303729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T19:07:32.668782image/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

연번기관명기관(급여)종류기관전화번호FAX번호설립구분기관주소
01행복한노인요양원1노인요양공동생활가정02-902-640002-902-6406법인서울특별시 강북구 덕릉로 46, 2층 2호 (수유동)
12강북하루정요양원노인요양공동생활가정02-907-123502-995-7631개인서울특별시 강북구 삼양로 433, 5층 (수유동)
23거목실버홈노인요양공동생활가정02-904-778202-903-8782개인서울특별시 강북구 한천로 1160, 3층 (수유동)
34사랑나눔요양원2노인요양공동생활가정02-999-136602-997-0400법인서울특별시 강북구 도봉로 243, 4층 (미아동)
45e-포근한 요양원노인요양시설(개정법)02-989-998702-989-9967개인서울특별시 강북구 도봉로 266, 2층 (미아동, 원지빌딩)
56북부성모요양원노인요양공동생활가정02-992-662902-992-6619개인서울특별시 강북구 한천로 1152 (수유동, 수유빌딩 3층)
67푸른요양원2호점노인요양시설(개정법)02-999-223402-972-1966개인서울특별시 강북구 도봉로81길 43, 지,1,5~8층 (수유동)
78푸른요양원1호점노인요양시설(개정법)02-999-223402-972-1966개인서울특별시 강북구 도봉로81길 43, 지,1,2~4,8층 (수유동)
89효노인복지센터노인요양공동생활가정02-946-131302-986-0694개인서울특별시 강북구 오현로 194, 2층 (번동)
910가온요양원2노인요양공동생활가정02-907-1117070-4009-9639법인서울특별시 강북구 한천로 1075, 5층 (수유동)
연번기관명기관(급여)종류기관전화번호FAX번호설립구분기관주소
2122길재활요양원노인요양시설(개정법)02-992-699302-992-6995개인서울특별시 강북구 인수봉로 225 (수유동)
2223강북유진복지센터노인요양공동생활가정02-982-887802-982-8870개인서울특별시 강북구 삼양로77가길 9, 5층 (수유동)
2324참사랑노인요양센터노인요양공동생활가정02-981-121202-981-0909개인서울특별시 강북구 오현로 32 (미아동,청우빌딩 6층)
2425거목노인요양원노인요양공동생활가정02-904-778202-903-8782개인서울특별시 강북구 한천로 1160, 4층 (수유동)
2526행복한노인요양원2노인요양공동생활가정070-8872-640102-902-6406법인서울특별시 강북구 덕릉로 46, 4층 2호 (수유동)
2627봄날북한산요양원노인요양시설(개정법)02-991-511102-991-5110개인서울특별시 강북구 4.19로 77 (수유동, 봄날북한산요양원)
2728햇살요양원노인요양공동생활가정02-900-387802-900-3879개인서울특별시 강북구 도봉로 403, 3층 (수유동)
2829사랑나눔요양원3노인요양공동생활가정02-997-1388070-8117-6476법인서울특별시 강북구 도봉로 243, 3층 (미아동)
2930번동자연재활요양원노인요양시설(개정법)02-985-238802-985-0120개인서울특별시 강북구 오현로28길 11(번동)
3031수호천사요양원노인요양공동생활가정02-993-500402-993-5002개인서울특별시 강북구 삼양로112길 5, 3층(수유동)