Overview

Dataset statistics

Number of variables6
Number of observations209
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.1 KiB
Average record size in memory49.6 B

Variable types

Numeric1
Categorical2
Text3

Dataset

Description울산광역시 내 (중구, 남구, 동구, 북구, 울주군) 노인요양시설 등 정보(시설명, 주소)를 제공하고 있습니다.
Author울산광역시
URLhttps://www.data.go.kr/data/15091235/fileData.do

Alerts

연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-23 07:39:29.847012
Analysis finished2023-12-23 07:39:33.307792
Duration3.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct209
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105
Minimum1
Maximum209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-23T07:39:33.769023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.4
Q153
median105
Q3157
95-th percentile198.6
Maximum209
Range208
Interquartile range (IQR)104

Descriptive statistics

Standard deviation60.477268
Coefficient of variation (CV)0.57597399
Kurtosis-1.2
Mean105
Median Absolute Deviation (MAD)52
Skewness0
Sum21945
Variance3657.5
MonotonicityStrictly increasing
2023-12-23T07:39:34.948344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
158 1
 
0.5%
134 1
 
0.5%
135 1
 
0.5%
136 1
 
0.5%
137 1
 
0.5%
138 1
 
0.5%
139 1
 
0.5%
140 1
 
0.5%
141 1
 
0.5%
Other values (199) 199
95.2%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
209 1
0.5%
208 1
0.5%
207 1
0.5%
206 1
0.5%
205 1
0.5%
204 1
0.5%
203 1
0.5%
202 1
0.5%
201 1
0.5%
200 1
0.5%

구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
남구
67 
울주군
57 
중구
42 
북구
30 
동구
13 

Length

Max length3
Median length2
Mean length2.2727273
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중구
2nd row중구
3rd row중구
4th row중구
5th row중구

Common Values

ValueCountFrequency (%)
남구 67
32.1%
울주군 57
27.3%
중구 42
20.1%
북구 30
14.4%
동구 13
 
6.2%

Length

2023-12-23T07:39:35.770282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:39:36.649929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남구 67
32.1%
울주군 57
27.3%
중구 42
20.1%
북구 30
14.4%
동구 13
 
6.2%
Distinct183
Distinct (%)87.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-23T07:39:38.156018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length9.4784689
Min length4

Characters and Unicode

Total characters1981
Distinct characters215
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

Unique157 ?
Unique (%)75.1%

Sample

1st row울산광역시립노인요양원
2nd row예랑소규모요양원
3rd row늘푸른노인요양원
4th row울산한우리노인요양센터
5th row효정요양원
ValueCountFrequency (%)
사랑방실버스쿨 2
 
0.9%
가화노인복지센터 2
 
0.9%
행복노인복지센터 2
 
0.9%
9988주간복지센터 2
 
0.9%
하하호호노인주간보호센터 2
 
0.9%
효사랑 2
 
0.9%
재가노인복지센터 2
 
0.9%
참사랑재가노인복지센터 2
 
0.9%
행복한실버홈 2
 
0.9%
도우누리공동체노인복지센터 2
 
0.9%
Other values (190) 213
91.4%
2023-12-23T07:39:39.965355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
147
 
7.4%
146
 
7.4%
110
 
5.6%
109
 
5.5%
103
 
5.2%
96
 
4.8%
54
 
2.7%
51
 
2.6%
51
 
2.6%
47
 
2.4%
Other values (205) 1067
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1904
96.1%
Space Separator 26
 
1.3%
Decimal Number 20
 
1.0%
Uppercase Letter 11
 
0.6%
Other Punctuation 6
 
0.3%
Math Symbol 5
 
0.3%
Close Punctuation 4
 
0.2%
Open Punctuation 4
 
0.2%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
147
 
7.7%
146
 
7.7%
110
 
5.8%
109
 
5.7%
103
 
5.4%
96
 
5.0%
54
 
2.8%
51
 
2.7%
51
 
2.7%
47
 
2.5%
Other values (188) 990
52.0%
Decimal Number
ValueCountFrequency (%)
8 7
35.0%
9 6
30.0%
5 2
 
10.0%
3 2
 
10.0%
2 1
 
5.0%
1 1
 
5.0%
6 1
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
A 5
45.5%
E 2
 
18.2%
N 2
 
18.2%
O 2
 
18.2%
Space Separator
ValueCountFrequency (%)
26
100.0%
Other Punctuation
ValueCountFrequency (%)
" 6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1905
96.2%
Common 65
 
3.3%
Latin 11
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
147
 
7.7%
146
 
7.7%
110
 
5.8%
109
 
5.7%
103
 
5.4%
96
 
5.0%
54
 
2.8%
51
 
2.7%
51
 
2.7%
47
 
2.5%
Other values (189) 991
52.0%
Common
ValueCountFrequency (%)
26
40.0%
8 7
 
10.8%
9 6
 
9.2%
" 6
 
9.2%
+ 5
 
7.7%
) 4
 
6.2%
( 4
 
6.2%
5 2
 
3.1%
3 2
 
3.1%
2 1
 
1.5%
Other values (2) 2
 
3.1%
Latin
ValueCountFrequency (%)
A 5
45.5%
E 2
 
18.2%
N 2
 
18.2%
O 2
 
18.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1904
96.1%
ASCII 76
 
3.8%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
147
 
7.7%
146
 
7.7%
110
 
5.8%
109
 
5.7%
103
 
5.4%
96
 
5.0%
54
 
2.8%
51
 
2.7%
51
 
2.7%
47
 
2.5%
Other values (188) 990
52.0%
ASCII
ValueCountFrequency (%)
26
34.2%
8 7
 
9.2%
9 6
 
7.9%
" 6
 
7.9%
A 5
 
6.6%
+ 5
 
6.6%
) 4
 
5.3%
( 4
 
5.3%
E 2
 
2.6%
N 2
 
2.6%
Other values (6) 9
 
11.8%
None
ValueCountFrequency (%)
1
100.0%

시설유형
Categorical

Distinct26
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
주야간보호
41 
방문요양,주야간보호
38 
노인요양시설
22 
노인요양원
21 
노인요양공동생활가정
17 
Other values (21)
70 

Length

Max length26
Median length24
Mean length9.0095694
Min length3

Unique

Unique13 ?
Unique (%)6.2%

Sample

1st row노인요양원
2nd row노인요양원
3rd row노인요양원
4th row노인요양공동생활가정
5th row노인요양원

Common Values

ValueCountFrequency (%)
주야간보호 41
19.6%
방문요양,주야간보호 38
18.2%
노인요양시설 22
10.5%
노인요양원 21
10.0%
노인요양공동생활가정 17
8.1%
주야간보호, 방문요양 16
 
7.7%
방문요양,방문목욕,주야간보호 13
 
6.2%
방문요양, 주야간보호 11
 
5.3%
주야간 5
 
2.4%
방문목욕, 방문간호, 주야간보호 4
 
1.9%
Other values (16) 21
10.0%

Length

2023-12-23T07:39:40.945300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주야간보호 76
29.3%
방문요양,주야간보호 38
14.7%
방문요양 30
 
11.6%
노인요양시설 22
 
8.5%
노인요양원 21
 
8.1%
노인요양공동생활가정 18
 
6.9%
방문요양,방문목욕,주야간보호 14
 
5.4%
주야간 7
 
2.7%
방문목욕 6
 
2.3%
방문간호 5
 
1.9%
Other values (15) 22
 
8.5%
Distinct174
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-23T07:39:42.541667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length25
Mean length15.205742
Min length8

Characters and Unicode

Total characters3178
Distinct characters163
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique142 ?
Unique (%)67.9%

Sample

1st row중구 백양로 147
2nd row중구 산전길 131
3rd row중구 성안9길18
4th row중구 성안14길49+4층
5th row중구 해오름길 11-8
ValueCountFrequency (%)
남구 65
 
8.1%
울주군 57
 
7.1%
중구 42
 
5.3%
북구 30
 
3.8%
2층 16
 
2.0%
범서읍 14
 
1.8%
동구 13
 
1.6%
1층 13
 
1.6%
4층 10
 
1.3%
번영로 9
 
1.1%
Other values (306) 529
66.3%
2023-12-23T07:39:44.582964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
620
19.5%
1 175
 
5.5%
159
 
5.0%
2 122
 
3.8%
122
 
3.8%
106
 
3.3%
3 94
 
3.0%
89
 
2.8%
82
 
2.6%
71
 
2.2%
Other values (153) 1538
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1632
51.4%
Decimal Number 790
24.9%
Space Separator 620
 
19.5%
Dash Punctuation 47
 
1.5%
Open Punctuation 33
 
1.0%
Close Punctuation 32
 
1.0%
Math Symbol 14
 
0.4%
Other Punctuation 5
 
0.2%
Uppercase Letter 3
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
159
 
9.7%
122
 
7.5%
106
 
6.5%
89
 
5.5%
82
 
5.0%
71
 
4.4%
61
 
3.7%
60
 
3.7%
58
 
3.6%
57
 
3.5%
Other values (133) 767
47.0%
Decimal Number
ValueCountFrequency (%)
1 175
22.2%
2 122
15.4%
3 94
11.9%
4 69
 
8.7%
5 67
 
8.5%
8 61
 
7.7%
0 59
 
7.5%
7 56
 
7.1%
6 53
 
6.7%
9 34
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
@ 1
 
20.0%
Uppercase Letter
ValueCountFrequency (%)
H 2
66.7%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
620
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Math Symbol
ValueCountFrequency (%)
+ 14
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1632
51.4%
Common 1541
48.5%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
159
 
9.7%
122
 
7.5%
106
 
6.5%
89
 
5.5%
82
 
5.0%
71
 
4.4%
61
 
3.7%
60
 
3.7%
58
 
3.6%
57
 
3.5%
Other values (133) 767
47.0%
Common
ValueCountFrequency (%)
620
40.2%
1 175
 
11.4%
2 122
 
7.9%
3 94
 
6.1%
4 69
 
4.5%
5 67
 
4.3%
8 61
 
4.0%
0 59
 
3.8%
7 56
 
3.6%
6 53
 
3.4%
Other values (7) 165
 
10.7%
Latin
ValueCountFrequency (%)
H 2
40.0%
b 2
40.0%
B 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1632
51.4%
ASCII 1546
48.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
620
40.1%
1 175
 
11.3%
2 122
 
7.9%
3 94
 
6.1%
4 69
 
4.5%
5 67
 
4.3%
8 61
 
3.9%
0 59
 
3.8%
7 56
 
3.6%
6 53
 
3.4%
Other values (10) 170
 
11.0%
Hangul
ValueCountFrequency (%)
159
 
9.7%
122
 
7.5%
106
 
6.5%
89
 
5.5%
82
 
5.0%
71
 
4.4%
61
 
3.7%
60
 
3.7%
58
 
3.6%
57
 
3.5%
Other values (133) 767
47.0%
Distinct170
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-23T07:39:45.506460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.009569
Min length12

Characters and Unicode

Total characters2510
Distinct characters13
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique135 ?
Unique (%)64.6%

Sample

1st row052-246-8061
2nd row052-281-0691
3rd row052-243-0005
4th row052-245-6198
5th row052-945-1945
ValueCountFrequency (%)
052-903-7985 6
 
2.9%
052-297-2266 2
 
1.0%
052-977-9988 2
 
1.0%
052-227-5200 2
 
1.0%
052-266-1599 2
 
1.0%
052-700-2828 2
 
1.0%
052-239-9300 2
 
1.0%
052-246-8090 2
 
1.0%
052-222-8878 2
 
1.0%
052-238-8899 2
 
1.0%
Other values (160) 185
88.5%
2023-12-23T07:39:46.916018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 509
20.3%
0 419
16.7%
- 418
16.7%
5 318
12.7%
9 159
 
6.3%
8 158
 
6.3%
7 132
 
5.3%
1 111
 
4.4%
6 109
 
4.3%
3 92
 
3.7%
Other values (3) 85
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2090
83.3%
Dash Punctuation 418
 
16.7%
Other Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 509
24.4%
0 419
20.0%
5 318
15.2%
9 159
 
7.6%
8 158
 
7.6%
7 132
 
6.3%
1 111
 
5.3%
6 109
 
5.2%
3 92
 
4.4%
4 83
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
* 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 418
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2510
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 509
20.3%
0 419
16.7%
- 418
16.7%
5 318
12.7%
9 159
 
6.3%
8 158
 
6.3%
7 132
 
5.3%
1 111
 
4.4%
6 109
 
4.3%
3 92
 
3.7%
Other values (3) 85
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2510
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 509
20.3%
0 419
16.7%
- 418
16.7%
5 318
12.7%
9 159
 
6.3%
8 158
 
6.3%
7 132
 
5.3%
1 111
 
4.4%
6 109
 
4.3%
3 92
 
3.7%
Other values (3) 85
 
3.4%

Interactions

2023-12-23T07:39:31.845562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-23T07:39:47.368146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분시설유형
연번1.0000.9950.728
구분0.9951.0000.769
시설유형0.7280.7691.000
2023-12-23T07:39:47.870462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분시설유형
구분1.0000.472
시설유형0.4721.000
2023-12-23T07:39:48.485238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분시설유형
연번1.0000.8930.358
구분0.8931.0000.472
시설유형0.3580.4721.000

Missing values

2023-12-23T07:39:32.478442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-23T07:39:33.042178image/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

연번구분시설명시설유형소재지연락처
01중구울산광역시립노인요양원노인요양원중구 백양로 147052-246-8061
12중구예랑소규모요양원노인요양원중구 산전길 131052-281-0691
23중구늘푸른노인요양원노인요양원중구 성안9길18052-243-0005
34중구울산한우리노인요양센터노인요양공동생활가정중구 성안14길49+4층052-245-6198
45중구효정요양원노인요양원중구 해오름길 11-8052-945-1945
56중구늘푸른노인전문요양원노인요양원중구 성안9길 18052-248-7500
67중구국민요양원노인요양원중구 성안동 성안1길 163052-244-0066
78중구온누리요양원노인요양원중구 백양로 104-1052-246-1004
89중구백정애건강실버타운노인요양원중구 백양로 205052-222-8155
910중구효자실버요양원노인요양원중구 성안1길 169052-958-0100.
연번구분시설명시설유형소재지연락처
199200울주군도우누리 언양노인복지센터주야간보호울주군 언양읍 헌양길 57-1 3층052-262-9100
200201울주군남창효주간보호센터방문요양,주야간보호울주군 온양읍 솔밭1길 17-4052-260-9698
201202울주군행복한실버홈 주야간센터방문요양,방문목욕,주야간보호,방문간호울주군 삼남읍 상평강변길 29052-264-9117
202203울주군덕신노인복지센터방문요양,주야간보호울주군 온산읍 영남5길 7-11052-237-1080
203204울주군자연숲주간보호센터주야간보호울주군 청량읍 반정2길 18-3052-222-4886
204205울주군범서노인복지센터방문요양,주야간보호울주군 범서읍 천상5길 28-9052-245-1005
205206울주군우리집노인복지센터주야간보호울주군 범서읍 구영로 126052-277-4700
206207울주군도우누리남울주재가노인복지센터방문요양,주야간보호울주군 온산읍 신온8길 6-5 101호 (삼신주상가)052-239-0664
207208울주군은빛의노인재가복지센터방문요양,주야간보호울주군 범서읍 지지길 40052-248-5887
208209울주군은빛노인복지센터방문요양,방문목욕,주야간보호울주군 언양읍 웃방천4길 26052-262-3800