Overview

Dataset statistics

Number of variables11
Number of observations33
Missing cells1
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory94.0 B

Variable types

Text6
Boolean1
DateTime2
Numeric2

Dataset

Description울산광역시 남구 노인주간보호센터에 대한 데이터로 센터명, 소재지도로명주소, 전화번호, 팩스번호, 대표명, 담당자 등의 항목을 제공합니다.
Author울산광역시 남구
URLhttps://www.data.go.kr/data/15025483/fileData.do

Alerts

프로그램운영여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
입소정원(명) is highly overall correlated with 현재입소인원(명)High correlation
현재입소인원(명) is highly overall correlated with 입소정원(명)High correlation
전화번호 has 1 (3.0%) missing valuesMissing
센터명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:47:47.236503
Analysis finished2023-12-12 04:47:48.842805
Duration1.61 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

센터명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T13:47:49.013520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length10
Min length6

Characters and Unicode

Total characters330
Distinct characters94
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row"(A+)"울산재활노인복지센터
2nd row365행복한노인주야간보호센터
3rd row9988주간복지센터
4th rowONE재활노인복지센터
5th row가나실버케어
ValueCountFrequency (%)
a+)"울산재활노인복지센터 1
 
2.8%
365행복한노인주야간보호센터 1
 
2.8%
지혜주간보호센터 1
 
2.8%
참사랑재가노인복지센터 1
 
2.8%
참조은재활복지센터 1
 
2.8%
하하호호노인주간보호센터 1
 
2.8%
한사랑노인복지센터 1
 
2.8%
행복노인복지센터 1
 
2.8%
효자손노인복지센터 1
 
2.8%
더편한노인복지센터 1
 
2.8%
Other values (26) 26
72.2%
2023-12-12T13:47:49.406081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 30
 
9.1%
센 30
 
9.1%
복 20
 
6.1%
지 19
 
5.8%
노 19
 
5.8%
인 19
 
5.8%
호 13
 
3.9%
간 12
 
3.6%
주 12
 
3.6%
보 11
 
3.3%
Other values (84) 145
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 310
93.9%
Decimal Number 7
 
2.1%
Uppercase Letter 4
 
1.2%
Space Separator 3
 
0.9%
Other Punctuation 2
 
0.6%
Close Punctuation 1
 
0.3%
Math Symbol 1
 
0.3%
Other Symbol 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 30
 
9.7%
센 30
 
9.7%
복 20
 
6.5%
지 19
 
6.1%
노 19
 
6.1%
인 19
 
6.1%
호 13
 
4.2%
간 12
 
3.9%
주 12
 
3.9%
보 11
 
3.5%
Other values (69) 125
40.3%
Decimal Number
ValueCountFrequency (%)
8 2
28.6%
9 2
28.6%
5 1
14.3%
6 1
14.3%
3 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
E 1
25.0%
N 1
25.0%
O 1
25.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
" 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 311
94.2%
Common 15
 
4.5%
Latin 4
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 30
 
9.6%
센 30
 
9.6%
복 20
 
6.4%
지 19
 
6.1%
노 19
 
6.1%
인 19
 
6.1%
호 13
 
4.2%
간 12
 
3.9%
주 12
 
3.9%
보 11
 
3.5%
Other values (70) 126
40.5%
Common
ValueCountFrequency (%)
3
20.0%
" 2
13.3%
8 2
13.3%
9 2
13.3%
) 1
 
6.7%
+ 1
 
6.7%
( 1
 
6.7%
5 1
 
6.7%
6 1
 
6.7%
3 1
 
6.7%
Latin
ValueCountFrequency (%)
A 1
25.0%
E 1
25.0%
N 1
25.0%
O 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 310
93.9%
ASCII 19
 
5.8%
None 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 30
 
9.7%
센 30
 
9.7%
복 20
 
6.5%
지 19
 
6.1%
노 19
 
6.1%
인 19
 
6.1%
호 13
 
4.2%
간 12
 
3.9%
주 12
 
3.9%
보 11
 
3.5%
Other values (69) 125
40.3%
ASCII
ValueCountFrequency (%)
3
15.8%
" 2
10.5%
8 2
10.5%
9 2
10.5%
) 1
 
5.3%
+ 1
 
5.3%
A 1
 
5.3%
E 1
 
5.3%
N 1
 
5.3%
O 1
 
5.3%
Other values (4) 4
21.1%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지도로명주소
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T13:47:49.658286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length26.575758
Min length22

Characters and Unicode

Total characters877
Distinct characters59
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

Unique33 ?
Unique (%)100.0%

Sample

1st row울산광역시 남구 삼산로 37, 501-3호 (신정동)
2nd row울산광역시 남구 번영로 182, 5층 (달동)
3rd row울산광역시 남구 번영로 51, 2층 (야음동)
4th row울산광역시 남구 수암로 80, 4층 (신정동)
5th row울산광역시 남구 번영로233번길 8(신정동)
ValueCountFrequency (%)
울산광역시 33
 
17.5%
남구 28
 
14.8%
신정동 10
 
5.3%
무거동 6
 
3.2%
달동 5
 
2.6%
수암로 5
 
2.6%
야음동 5
 
2.6%
2층 5
 
2.6%
삼산동 5
 
2.6%
5층 4
 
2.1%
Other values (64) 83
43.9%
2023-12-12T13:47:50.091219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
156
 
17.8%
산 41
 
4.7%
울 35
 
4.0%
동 34
 
3.9%
광 33
 
3.8%
역 33
 
3.8%
시 33
 
3.8%
) 33
 
3.8%
로 33
 
3.8%
( 33
 
3.8%
Other values (49) 413
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 467
53.2%
Space Separator 156
 
17.8%
Decimal Number 152
 
17.3%
Close Punctuation 33
 
3.8%
Open Punctuation 33
 
3.8%
Other Punctuation 28
 
3.2%
Dash Punctuation 6
 
0.7%
Math Symbol 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 41
 
8.8%
울 35
 
7.5%
동 34
 
7.3%
광 33
 
7.1%
역 33
 
7.1%
시 33
 
7.1%
로 33
 
7.1%
남 29
 
6.2%
구 28
 
6.0%
층 23
 
4.9%
Other values (32) 145
31.0%
Decimal Number
ValueCountFrequency (%)
1 31
20.4%
2 24
15.8%
3 18
11.8%
0 16
10.5%
4 15
9.9%
5 14
9.2%
8 11
 
7.2%
6 11
 
7.2%
7 6
 
3.9%
9 6
 
3.9%
Space Separator
ValueCountFrequency (%)
156
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 467
53.2%
Common 409
46.6%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 41
 
8.8%
울 35
 
7.5%
동 34
 
7.3%
광 33
 
7.1%
역 33
 
7.1%
시 33
 
7.1%
로 33
 
7.1%
남 29
 
6.2%
구 28
 
6.0%
층 23
 
4.9%
Other values (32) 145
31.0%
Common
ValueCountFrequency (%)
156
38.1%
) 33
 
8.1%
( 33
 
8.1%
1 31
 
7.6%
, 28
 
6.8%
2 24
 
5.9%
3 18
 
4.4%
0 16
 
3.9%
4 15
 
3.7%
5 14
 
3.4%
Other values (6) 41
 
10.0%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 467
53.2%
ASCII 410
46.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
156
38.0%
) 33
 
8.0%
( 33
 
8.0%
1 31
 
7.6%
, 28
 
6.8%
2 24
 
5.9%
3 18
 
4.4%
0 16
 
3.9%
4 15
 
3.7%
5 14
 
3.4%
Other values (7) 42
 
10.2%
Hangul
ValueCountFrequency (%)
산 41
 
8.8%
울 35
 
7.5%
동 34
 
7.3%
광 33
 
7.1%
역 33
 
7.1%
시 33
 
7.1%
로 33
 
7.1%
남 29
 
6.2%
구 28
 
6.0%
층 23
 
4.9%
Other values (32) 145
31.0%

전화번호
Text

MISSING 

Distinct31
Distinct (%)96.9%
Missing1
Missing (%)3.0%
Memory size396.0 B
2023-12-12T13:47:50.320100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.03125
Min length12

Characters and Unicode

Total characters385
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

Unique30 ?
Unique (%)93.8%

Sample

1st row052-239-9300
2nd row052-257-5577
3rd row052-977-9988
4th row052-700-8088
5th row052-261-9972
ValueCountFrequency (%)
052-903-7985 2
 
6.2%
052-911-0015 1
 
3.1%
052-700-1033 1
 
3.1%
052-707-9509 1
 
3.1%
052-222-6080 1
 
3.1%
052-266-0153 1
 
3.1%
052-266-1964 1
 
3.1%
052-903-9691 1
 
3.1%
052-222-7727 1
 
3.1%
052-227-3827 1
 
3.1%
Other values (21) 21
65.6%
2023-12-12T13:47:50.764274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 77
20.0%
0 69
17.9%
- 64
16.6%
5 47
12.2%
7 31
8.1%
9 26
 
6.8%
8 23
 
6.0%
6 17
 
4.4%
3 13
 
3.4%
1 13
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 321
83.4%
Dash Punctuation 64
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 77
24.0%
0 69
21.5%
5 47
14.6%
7 31
9.7%
9 26
 
8.1%
8 23
 
7.2%
6 17
 
5.3%
3 13
 
4.0%
1 13
 
4.0%
4 5
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 385
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 77
20.0%
0 69
17.9%
- 64
16.6%
5 47
12.2%
7 31
8.1%
9 26
 
6.8%
8 23
 
6.0%
6 17
 
4.4%
3 13
 
3.4%
1 13
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 385
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 77
20.0%
0 69
17.9%
- 64
16.6%
5 47
12.2%
7 31
8.1%
9 26
 
6.8%
8 23
 
6.0%
6 17
 
4.4%
3 13
 
3.4%
1 13
 
3.4%

팩스번호
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T13:47:51.015615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.181818
Min length12

Characters and Unicode

Total characters402
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

Unique31 ?
Unique (%)93.9%

Sample

1st row070-4545-9300
2nd row052-257-5587
3rd row052-997-9988
4th row052-700-8089
5th row052-256-9973
ValueCountFrequency (%)
052-937-0700 2
 
6.1%
070-4545-9300 1
 
3.0%
070-7543-7736 1
 
3.0%
052-260-2768 1
 
3.0%
070-4170-4251 1
 
3.0%
052-222-6090 1
 
3.0%
052-257-0153 1
 
3.0%
052-266-1964 1
 
3.0%
052-269-9691 1
 
3.0%
052-713-7727 1
 
3.0%
Other values (22) 22
66.7%
2023-12-12T13:47:51.451799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 67
16.7%
- 66
16.4%
2 63
15.7%
5 51
12.7%
7 36
9.0%
9 31
7.7%
8 21
 
5.2%
1 20
 
5.0%
6 19
 
4.7%
3 17
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 336
83.6%
Dash Punctuation 66
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 67
19.9%
2 63
18.8%
5 51
15.2%
7 36
10.7%
9 31
9.2%
8 21
 
6.2%
1 20
 
6.0%
6 19
 
5.7%
3 17
 
5.1%
4 11
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 402
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 67
16.7%
- 66
16.4%
2 63
15.7%
5 51
12.7%
7 36
9.0%
9 31
7.7%
8 21
 
5.2%
1 20
 
5.0%
6 19
 
4.7%
3 17
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 402
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 67
16.7%
- 66
16.4%
2 63
15.7%
5 51
12.7%
7 36
9.0%
9 31
7.7%
8 21
 
5.2%
1 20
 
5.0%
6 19
 
4.7%
3 17
 
4.2%

대표명
Text

Distinct30
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T13:47:51.746891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.969697
Min length2

Characters and Unicode

Total characters98
Distinct characters38
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)81.8%

Sample

1st row강*라
2nd row이*형
3rd row성*열
4th row박*호
5th row조*내
ValueCountFrequency (%)
윤*우 2
 
6.1%
김*영 2
 
6.1%
허*호 2
 
6.1%
정*임 1
 
3.0%
강*라 1
 
3.0%
박*대 1
 
3.0%
김*태 1
 
3.0%
강*준 1
 
3.0%
장*기 1
 
3.0%
심*빈 1
 
3.0%
Other values (20) 20
60.6%
2023-12-12T13:47:52.174629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 33
33.7%
김 8
 
8.2%
이 5
 
5.1%
박 5
 
5.1%
호 3
 
3.1%
영 3
 
3.1%
조 3
 
3.1%
강 2
 
2.0%
희 2
 
2.0%
임 2
 
2.0%
Other values (28) 32
32.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65
66.3%
Other Punctuation 33
33.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 8
 
12.3%
이 5
 
7.7%
박 5
 
7.7%
호 3
 
4.6%
영 3
 
4.6%
조 3
 
4.6%
강 2
 
3.1%
희 2
 
3.1%
임 2
 
3.1%
정 2
 
3.1%
Other values (27) 30
46.2%
Other Punctuation
ValueCountFrequency (%)
* 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65
66.3%
Common 33
33.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 8
 
12.3%
이 5
 
7.7%
박 5
 
7.7%
호 3
 
4.6%
영 3
 
4.6%
조 3
 
4.6%
강 2
 
3.1%
희 2
 
3.1%
임 2
 
3.1%
정 2
 
3.1%
Other values (27) 30
46.2%
Common
ValueCountFrequency (%)
* 33
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65
66.3%
ASCII 33
33.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 33
100.0%
Hangul
ValueCountFrequency (%)
김 8
 
12.3%
이 5
 
7.7%
박 5
 
7.7%
호 3
 
4.6%
영 3
 
4.6%
조 3
 
4.6%
강 2
 
3.1%
희 2
 
3.1%
임 2
 
3.1%
정 2
 
3.1%
Other values (27) 30
46.2%

담당자
Text

Distinct31
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T13:47:52.430125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.969697
Min length2

Characters and Unicode

Total characters98
Distinct characters34
Distinct categories2 ?
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 (%)87.9%

Sample

1st row강*라
2nd row이*형
3rd row성*열
4th row박*호
5th row조*내
ValueCountFrequency (%)
윤*우 2
 
6.1%
허*호 2
 
6.1%
정*임 1
 
3.0%
강*라 1
 
3.0%
박*대 1
 
3.0%
김*호 1
 
3.0%
김*숙 1
 
3.0%
김*지 1
 
3.0%
박*희 1
 
3.0%
심*빈 1
 
3.0%
Other values (21) 21
63.6%
2023-12-12T13:47:52.921828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 33
33.7%
김 9
 
9.2%
이 5
 
5.1%
박 5
 
5.1%
희 4
 
4.1%
호 4
 
4.1%
윤 3
 
3.1%
조 3
 
3.1%
정 2
 
2.0%
숙 2
 
2.0%
Other values (24) 28
28.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65
66.3%
Other Punctuation 33
33.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 9
 
13.8%
이 5
 
7.7%
박 5
 
7.7%
희 4
 
6.2%
호 4
 
6.2%
윤 3
 
4.6%
조 3
 
4.6%
정 2
 
3.1%
숙 2
 
3.1%
영 2
 
3.1%
Other values (23) 26
40.0%
Other Punctuation
ValueCountFrequency (%)
* 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65
66.3%
Common 33
33.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 9
 
13.8%
이 5
 
7.7%
박 5
 
7.7%
희 4
 
6.2%
호 4
 
6.2%
윤 3
 
4.6%
조 3
 
4.6%
정 2
 
3.1%
숙 2
 
3.1%
영 2
 
3.1%
Other values (23) 26
40.0%
Common
ValueCountFrequency (%)
* 33
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65
66.3%
ASCII 33
33.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 33
100.0%
Hangul
ValueCountFrequency (%)
김 9
 
13.8%
이 5
 
7.7%
박 5
 
7.7%
희 4
 
6.2%
호 4
 
6.2%
윤 3
 
4.6%
조 3
 
4.6%
정 2
 
3.1%
숙 2
 
3.1%
영 2
 
3.1%
Other values (23) 26
40.0%

프로그램운영여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size165.0 B
True
33 
ValueCountFrequency (%)
True 33
100.0%
2023-12-12T13:47:53.070781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

개설일
Date

Distinct31
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2008-06-05 00:00:00
Maximum2023-08-01 00:00:00
2023-12-12T13:47:53.188293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:47:53.347088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

입소정원(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)60.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.636364
Minimum8
Maximum77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T13:47:53.495261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile9
Q114
median24
Q331
95-th percentile67.6
Maximum77
Range69
Interquartile range (IQR)17

Descriptive statistics

Standard deviation19.710115
Coefficient of variation (CV)0.68828973
Kurtosis0.48262111
Mean28.636364
Median Absolute Deviation (MAD)10
Skewness1.132326
Sum945
Variance388.48864
MonotonicityNot monotonic
2023-12-12T13:47:53.648131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
9 7
21.2%
24 6
18.2%
28 2
 
6.1%
31 2
 
6.1%
37 1
 
3.0%
22 1
 
3.0%
30 1
 
3.0%
21 1
 
3.0%
77 1
 
3.0%
46 1
 
3.0%
Other values (10) 10
30.3%
ValueCountFrequency (%)
8 1
 
3.0%
9 7
21.2%
14 1
 
3.0%
15 1
 
3.0%
16 1
 
3.0%
21 1
 
3.0%
22 1
 
3.0%
24 6
18.2%
25 1
 
3.0%
28 2
 
6.1%
ValueCountFrequency (%)
77 1
3.0%
76 1
3.0%
62 1
3.0%
59 1
3.0%
57 1
3.0%
55 1
3.0%
46 1
3.0%
37 1
3.0%
31 2
6.1%
30 1
3.0%

현재입소인원(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.939394
Minimum1
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T13:47:53.830579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.8
Q19
median20
Q329
95-th percentile83.8
Maximum150
Range149
Interquartile range (IQR)20

Descriptive statistics

Standard deviation31.526714
Coefficient of variation (CV)1.1283965
Kurtosis8.5478853
Mean27.939394
Median Absolute Deviation (MAD)11
Skewness2.7932209
Sum922
Variance993.93371
MonotonicityNot monotonic
2023-12-12T13:47:54.010790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
9 6
 
18.2%
16 2
 
6.1%
8 2
 
6.1%
27 2
 
6.1%
19 1
 
3.0%
44 1
 
3.0%
1 1
 
3.0%
3 1
 
3.0%
15 1
 
3.0%
150 1
 
3.0%
Other values (15) 15
45.5%
ValueCountFrequency (%)
1 1
 
3.0%
3 1
 
3.0%
6 1
 
3.0%
8 2
 
6.1%
9 6
18.2%
10 1
 
3.0%
15 1
 
3.0%
16 2
 
6.1%
19 1
 
3.0%
20 1
 
3.0%
ValueCountFrequency (%)
150 1
3.0%
124 1
3.0%
57 1
3.0%
48 1
3.0%
44 1
3.0%
41 1
3.0%
39 1
3.0%
38 1
3.0%
29 1
3.0%
28 1
3.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2023-08-31 00:00:00
Maximum2023-08-31 00:00:00
2023-12-12T13:47:54.207686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:47:54.345348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T13:47:48.278791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:47:48.087897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:47:48.389020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:47:48.179886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:47:54.454618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
센터명소재지도로명주소전화번호팩스번호대표명담당자개설일입소정원(명)현재입소인원(명)
센터명1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0000.9740.9740.8801.000
팩스번호1.0001.0001.0001.0001.0000.9750.9750.8711.000
대표명1.0001.0001.0001.0001.0001.0000.9300.9471.000
담당자1.0001.0000.9740.9751.0001.0000.9710.9891.000
개설일1.0001.0000.9740.9750.9300.9711.0000.0000.000
입소정원(명)1.0001.0000.8800.8710.9470.9890.0001.0000.705
현재입소인원(명)1.0001.0001.0001.0001.0001.0000.0000.7051.000
2023-12-12T13:47:54.627809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
입소정원(명)현재입소인원(명)
입소정원(명)1.0000.676
현재입소인원(명)0.6761.000

Missing values

2023-12-12T13:47:48.576138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:47:48.771323image/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

센터명소재지도로명주소전화번호팩스번호대표명담당자프로그램운영여부개설일입소정원(명)현재입소인원(명)데이터기준일자
0"(A+)"울산재활노인복지센터울산광역시 남구 삼산로 37, 501-3호 (신정동)052-239-9300070-4545-9300강*라강*라Y2019-11-1537192023-08-31
1365행복한노인주야간보호센터울산광역시 남구 번영로 182, 5층 (달동)052-257-5577052-257-5587이*형이*형Y2020-02-2776482023-08-31
29988주간복지센터울산광역시 남구 번영로 51, 2층 (야음동)052-977-9988052-997-9988성*열성*열Y2019-11-0157572023-08-31
3ONE재활노인복지센터울산광역시 남구 수암로 80, 4층 (신정동)052-700-8088052-700-8089박*호박*호Y2021-05-2524202023-08-31
4가나실버케어울산광역시 남구 번영로233번길 8(신정동)052-261-9972052-256-9973조*내조*내Y2019-02-0762242023-08-31
5가나안실버행복센터울산광역시 남구 수암로 273 (야음동)052-227-5200052-227-5201김*선김*선Y2018-01-1859292023-08-31
6가화노인복지센터울산광역시 남구 돋질로401번길 13 (삼산동)052-710-5589070-8244-5589윤*우윤*우Y2017-11-24992023-08-31
7굿실버노인주간보호센터울산광역시 남구 돋질로 128, 2층 (달동)052-903-7985052-937-0700김*영김*영Y2018-04-1216162023-08-31
8기쁨노인복지센터울산광역시 남구 중앙로258번길 43-1 (신정동)070-7516-2602052-911-9688윤*우윤*우Y2012-10-01882023-08-31
9남문재가노인복지센터울산광역시 남구 월평로 9, 6층 (신정동)052-700-2828070-8255-2828김*란김*란Y2019-12-1931272023-08-31
센터명소재지도로명주소전화번호팩스번호대표명담당자프로그램운영여부개설일입소정원(명)현재입소인원(명)데이터기준일자
23한사랑노인복지센터울산광역시 남구 왕생로100번길 23, 1층 (달동)052-227-3827052-261-9951김*희김*희Y2014-03-209102023-08-31
24행복노인복지센터울산광역시 남구 신복로 33, 8층 (무거동)052-222-7727052-713-7727조*숙조*숙Y2019-02-0746412023-08-31
25효자손노인복지센터울산광역시 남구 삼산로 145, 3-4층 (달동)052-903-9691052-269-9691이*임이*임Y2010-04-30771502023-08-31
26더편한노인복지센터울산광역시 신선로184번길 25, 101호 (야음동)052-266-1964052-266-1964박*훈윤*희Y2023-01-09992023-08-31
27살롬주간보호센터울산광역시 수암로 220, 5층 (야음동)052-266-0153052-257-0153심*빈심*빈Y2023-01-0124152023-08-31
28흥부노인복지센터울산광역시 울밀로 2906, 501호 (무거동)052-222-6080052-222-6090장*기박*희Y2022-12-0521162023-08-31
29㈜대교 뉴이프 데이케어센터울산광역시 삼산로 123, 3층 (달동)052-707-9509070-4170-4251강*준김*지Y2023-08-012832023-08-31
30그랜드주간보호센터울산광역시 남구 번영로 267, 2층 (신정동)<NA>052-260-2768김*태김*숙Y2022-07-22992023-08-31
31굿실버주간보호센터울산광역시 남구 남중로 91, 3층 (삼산동)052-903-7985052-937-0700김*영김*호Y2022-09-0730272023-08-31
32가족실버케어울산광역시 왕생로172번길 20, 2층 (삼산동)052-713-8088052-713-7088이*한이*한Y2023-04-06912023-08-31