Overview

Dataset statistics

Number of variables8
Number of observations99
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.4 KiB
Average record size in memory66.3 B

Variable types

Categorical1
Text5
Numeric1
DateTime1

Dataset

Description충청남도 아산시 노인복지시설의 현황으로 시설종류, 시설명, 대표자명, 주소, 전화번호, 팩스번호의 정보를 포함합니다.
Author충청남도 아산시
URLhttps://www.data.go.kr/data/15048008/fileData.do

Alerts

정원 has 1 (1.0%) missing valuesMissing
정원 has 32 (32.3%) zerosZeros

Reproduction

Analysis started2024-04-21 01:13:03.732249
Analysis finished2024-04-21 01:13:06.534478
Duration2.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설구분
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
재가노인복지시설
59 
노인요양시설
31 
노인요양공동생활가정
노인주거 복지시설
 
1

Length

Max length10
Median length8
Mean length7.5454545
Min length6

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row노인주거 복지시설
2nd row노인요양시설
3rd row노인요양시설
4th row노인요양시설
5th row노인요양시설

Common Values

ValueCountFrequency (%)
재가노인복지시설 59
59.6%
노인요양시설 31
31.3%
노인요양공동생활가정 8
 
8.1%
노인주거 복지시설 1
 
1.0%

Length

2024-04-21T10:13:06.607023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:13:06.707283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가노인복지시설 59
59.0%
노인요양시설 31
31.0%
노인요양공동생활가정 8
 
8.0%
노인주거 1
 
1.0%
복지시설 1
 
1.0%
Distinct96
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2024-04-21T10:13:06.889633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length19
Mean length9.2626263
Min length4

Characters and Unicode

Total characters917
Distinct characters177
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

Unique93 ?
Unique (%)93.9%

Sample

1st row온양정애원
2nd row금빛요양원
3rd row노블레스 실버빌 요양원
4th row메디케어요양원
5th row메리골드요양원
ValueCountFrequency (%)
요양원 4
 
3.1%
재가복지센터 3
 
2.3%
행복노인복지센터 2
 
1.5%
성심요양원 2
 
1.5%
효담실버케어스 2
 
1.5%
행복한요양원 2
 
1.5%
노인복지센터 2
 
1.5%
배방 2
 
1.5%
방문요양센터 2
 
1.5%
온양정애요양원 2
 
1.5%
Other values (107) 108
82.4%
2024-04-21T10:13:07.221673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53
 
5.8%
53
 
5.8%
49
 
5.3%
48
 
5.2%
36
 
3.9%
35
 
3.8%
32
 
3.5%
30
 
3.3%
28
 
3.1%
23
 
2.5%
Other values (167) 530
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 854
93.1%
Space Separator 32
 
3.5%
Uppercase Letter 22
 
2.4%
Close Punctuation 3
 
0.3%
Open Punctuation 3
 
0.3%
Decimal Number 2
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
53
 
6.2%
53
 
6.2%
49
 
5.7%
48
 
5.6%
36
 
4.2%
35
 
4.1%
30
 
3.5%
28
 
3.3%
23
 
2.7%
23
 
2.7%
Other values (148) 476
55.7%
Uppercase Letter
ValueCountFrequency (%)
E 4
18.2%
C 3
13.6%
O 3
13.6%
R 2
9.1%
A 2
9.1%
G 1
 
4.5%
D 1
 
4.5%
T 1
 
4.5%
N 1
 
4.5%
V 1
 
4.5%
Other values (3) 3
13.6%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 854
93.1%
Common 41
 
4.5%
Latin 22
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
53
 
6.2%
53
 
6.2%
49
 
5.7%
48
 
5.6%
36
 
4.2%
35
 
4.1%
30
 
3.5%
28
 
3.3%
23
 
2.7%
23
 
2.7%
Other values (148) 476
55.7%
Latin
ValueCountFrequency (%)
E 4
18.2%
C 3
13.6%
O 3
13.6%
R 2
9.1%
A 2
9.1%
G 1
 
4.5%
D 1
 
4.5%
T 1
 
4.5%
N 1
 
4.5%
V 1
 
4.5%
Other values (3) 3
13.6%
Common
ValueCountFrequency (%)
32
78.0%
) 3
 
7.3%
( 3
 
7.3%
2 1
 
2.4%
+ 1
 
2.4%
3 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 854
93.1%
ASCII 63
 
6.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
53
 
6.2%
53
 
6.2%
49
 
5.7%
48
 
5.6%
36
 
4.2%
35
 
4.1%
30
 
3.5%
28
 
3.3%
23
 
2.7%
23
 
2.7%
Other values (148) 476
55.7%
ASCII
ValueCountFrequency (%)
32
50.8%
E 4
 
6.3%
) 3
 
4.8%
( 3
 
4.8%
C 3
 
4.8%
O 3
 
4.8%
R 2
 
3.2%
A 2
 
3.2%
G 1
 
1.6%
D 1
 
1.6%
Other values (9) 9
 
14.3%
Distinct90
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size924.0 B
2024-04-21T10:13:07.485745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.979798
Min length2

Characters and Unicode

Total characters295
Distinct characters111
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)81.8%

Sample

1st row오세윤
2nd row이우준
3rd row박인오
4th row장영상
5th row지화숙
ValueCountFrequency (%)
윤해진 2
 
2.0%
이유석 2
 
2.0%
이우준 2
 
2.0%
신용주 2
 
2.0%
김금숙 2
 
2.0%
조성옥 2
 
2.0%
김호식 2
 
2.0%
지예정 2
 
2.0%
김광서 2
 
2.0%
정우정 1
 
1.0%
Other values (80) 80
80.8%
2024-04-21T10:13:07.885021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
8.1%
16
 
5.4%
16
 
5.4%
12
 
4.1%
8
 
2.7%
6
 
2.0%
5
 
1.7%
5
 
1.7%
5
 
1.7%
5
 
1.7%
Other values (101) 193
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 295
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
24
 
8.1%
16
 
5.4%
16
 
5.4%
12
 
4.1%
8
 
2.7%
6
 
2.0%
5
 
1.7%
5
 
1.7%
5
 
1.7%
5
 
1.7%
Other values (101) 193
65.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 295
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
24
 
8.1%
16
 
5.4%
16
 
5.4%
12
 
4.1%
8
 
2.7%
6
 
2.0%
5
 
1.7%
5
 
1.7%
5
 
1.7%
5
 
1.7%
Other values (101) 193
65.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 295
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
24
 
8.1%
16
 
5.4%
16
 
5.4%
12
 
4.1%
8
 
2.7%
6
 
2.0%
5
 
1.7%
5
 
1.7%
5
 
1.7%
5
 
1.7%
Other values (101) 193
65.4%

정원
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)34.7%
Missing1
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean26.561224
Minimum0
Maximum118
Zeros32
Zeros (%)32.3%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-04-21T10:13:08.014111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median18
Q345.25
95-th percentile80.9
Maximum118
Range118
Interquartile range (IQR)45.25

Descriptive statistics

Standard deviation28.817258
Coefficient of variation (CV)1.0849371
Kurtosis0.19141509
Mean26.561224
Median Absolute Deviation (MAD)18
Skewness1.0062403
Sum2603
Variance830.43436
MonotonicityNot monotonic
2024-04-21T10:13:08.137569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 32
32.3%
9 13
13.1%
29 8
 
8.1%
42 4
 
4.0%
18 3
 
3.0%
46 3
 
3.0%
60 2
 
2.0%
49 2
 
2.0%
28 2
 
2.0%
75 2
 
2.0%
Other values (24) 27
27.3%
ValueCountFrequency (%)
0 32
32.3%
8 1
 
1.0%
9 13
13.1%
14 1
 
1.0%
17 1
 
1.0%
18 3
 
3.0%
20 1
 
1.0%
21 1
 
1.0%
23 1
 
1.0%
25 2
 
2.0%
ValueCountFrequency (%)
118 1
1.0%
96 1
1.0%
92 1
1.0%
91 1
1.0%
86 1
1.0%
80 2
2.0%
75 2
2.0%
72 1
1.0%
71 1
1.0%
64 1
1.0%
Distinct90
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size924.0 B
2024-04-21T10:13:08.398599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length41
Mean length27.222222
Min length19

Characters and Unicode

Total characters2695
Distinct characters131
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

Unique81 ?
Unique (%)81.8%

Sample

1st row충청남도 아산시 청운로112번길23-5(온천동)
2nd row충청남도 아산시 고불로 663(좌부동)
3rd row충청남도 아산시 배방읍 갈매길 159-23
4th row충청남도 아산시 둔포면 윤보선로336번길 55-1
5th row충청남도 아산시 배방읍 갈매길 42-25
ValueCountFrequency (%)
충청남도 99
 
17.4%
아산시 99
 
17.4%
온천동 17
 
3.0%
배방읍 16
 
2.8%
1층 10
 
1.8%
신창면 8
 
1.4%
2층 8
 
1.4%
온천대로 7
 
1.2%
상가동 6
 
1.1%
용화동 6
 
1.1%
Other values (204) 292
51.4%
2024-04-21T10:13:08.788115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/