Overview

Dataset statistics

Number of variables5
Number of observations43
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory44.1 B

Variable types

Numeric1
Categorical2
Text2

Dataset

Description울산광역시 구군별 (북구, 중구, 동구, 남구, 울주군) 지역내 노인요양 시설명, 시설유형, 소재지 정보를 제공하고 있습니다.
Author울산광역시
URLhttps://www.data.go.kr/data/15054171/fileData.do

Alerts

시설유형 has constant value ""Constant
연번 is highly overall correlated with 구군명High correlation
구군명 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-23 07:29:58.544730
Analysis finished2023-12-23 07:30:01.361239
Duration2.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22
Minimum1
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-23T07:30:02.081293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.1
Q111.5
median22
Q332.5
95-th percentile40.9
Maximum43
Range42
Interquartile range (IQR)21

Descriptive statistics

Standard deviation12.556539
Coefficient of variation (CV)0.57075176
Kurtosis-1.2
Mean22
Median Absolute Deviation (MAD)11
Skewness0
Sum946
Variance157.66667
MonotonicityStrictly increasing
2023-12-23T07:30:03.003479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1 1
 
2.3%
2 1
 
2.3%
25 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%
34 1
2.3%

구군명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size476.0 B
울주군
17 
중구
13 
북구
6 
남구
5 
동구
2 

Length

Max length3
Median length2
Mean length2.3953488
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
울주군 17
39.5%
중구 13
30.2%
북구 6
 
14.0%
남구 5
 
11.6%
동구 2
 
4.7%

Length

2023-12-23T07:30:03.915613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:30:04.632222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울주군 17
39.5%
중구 13
30.2%
북구 6
 
14.0%
남구 5
 
11.6%
동구 2
 
4.7%

시설명
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-23T07:30:05.605296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length7.2325581
Min length4

Characters and Unicode

Total characters311
Distinct characters97
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)100.0%

Sample

1st row울산광역시립노인요양원
2nd row예랑소규모요양원
3rd row늘푸른노인요양원
4th row효정요양원
5th row늘푸른노인전문요양원
ValueCountFrequency (%)
울산광역시립노인요양원 1
 
2.2%
서생실버홈 1
 
2.2%
울산북구실버케어센터 1
 
2.2%
금빛실버요양원 1
 
2.2%
천상소망노인요양원 1
 
2.2%
내와동산 1
 
2.2%
연화노인요양원 1
 
2.2%
미소실버홈 1
 
2.2%
울산노인의집 1
 
2.2%
척과요양원 1
 
2.2%
Other values (35) 35
77.8%
2023-12-23T07:30:07.761122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
양 32
 
10.3%
원 32
 
10.3%
요 31
 
10.0%
노 15
 
4.8%
인 15
 
4.8%
산 9
 
2.9%
울 9
 
2.9%
실 8
 
2.6%
버 8
 
2.6%
의 6
 
1.9%
Other values (87) 146
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 305
98.1%
Decimal Number 4
 
1.3%
Space Separator 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 32
 
10.5%
원 32
 
10.5%
요 31
 
10.2%
노 15
 
4.9%
인 15
 
4.9%
산 9
 
3.0%
울 9
 
3.0%
실 8
 
2.6%
버 8
 
2.6%
의 6
 
2.0%
Other values (84) 140
45.9%
Decimal Number
ValueCountFrequency (%)
8 2
50.0%
9 2
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 305
98.1%
Common 6
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 32
 
10.5%
원 32
 
10.5%
요 31
 
10.2%
노 15
 
4.9%
인 15
 
4.9%
산 9
 
3.0%
울 9
 
3.0%
실 8
 
2.6%
버 8
 
2.6%
의 6
 
2.0%
Other values (84) 140
45.9%
Common
ValueCountFrequency (%)
2
33.3%
8 2
33.3%
9 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 305
98.1%
ASCII 6
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
양 32
 
10.5%
원 32
 
10.5%
요 31
 
10.2%
노 15
 
4.9%
인 15
 
4.9%
산 9
 
3.0%
울 9
 
3.0%
실 8
 
2.6%
버 8
 
2.6%
의 6
 
2.0%
Other values (84) 140
45.9%
ASCII
ValueCountFrequency (%)
2
33.3%
8 2
33.3%
9 2
33.3%

시설유형
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
노인요양시설
43 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노인요양시설 43
100.0%

Length

2023-12-23T07:30:08.456088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:30:09.119753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인요양시설 43
100.0%

소재지
Text

Distinct42
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-23T07:30:10.395769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length13.930233
Min length9

Characters and Unicode

Total characters599
Distinct characters87
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)95.3%

Sample

1st row중구 백양로 147
2nd row중구 산전길 131
3rd row중구 성안9길18
4th row중구 해오름길 11-8
5th row중구 성안9길 18
ValueCountFrequency (%)
울주군 17
 
11.1%
중구 13
 
8.5%
북구 6
 
3.9%
남구 5
 
3.3%
백양로 3
 
2.0%
범서읍 3
 
2.0%
두서면 2
 
1.3%
성안1길 2
 
1.3%
동구 2
 
1.3%
29 2
 
1.3%
Other values (91) 98
64.1%
2023-12-23T07:30:12.859944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
113
18.9%
1 42
 
7.0%
구 27
 
4.5%
로 25
 
4.2%
2 21
 
3.5%
길 20
 
3.3%
7 18
 
3.0%
울 17
 
2.8%
군 17
 
2.8%
주 17
 
2.8%
Other values (77) 282
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 309
51.6%
Decimal Number 157
26.2%
Space Separator 113
 
18.9%
Dash Punctuation 15
 
2.5%
Other Punctuation 5
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 27
 
8.7%
로 25
 
8.1%
길 20
 
6.5%
울 17
 
5.5%
군 17
 
5.5%
주 17
 
5.5%
중 15
 
4.9%
동 9
 
2.9%
읍 9
 
2.9%
북 8
 
2.6%
Other values (64) 145
46.9%
Decimal Number
ValueCountFrequency (%)
1 42
26.8%
2 21
13.4%
7 18
11.5%
3 16
 
10.2%
0 12
 
7.6%
8 11
 
7.0%
6 11
 
7.0%
4 10
 
6.4%
5 8
 
5.1%
9 8
 
5.1%
Space Separator
ValueCountFrequency (%)
113
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 309
51.6%
Common 290
48.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 27
 
8.7%
로 25
 
8.1%
길 20
 
6.5%
울 17
 
5.5%
군 17
 
5.5%
주 17
 
5.5%
중 15
 
4.9%
동 9
 
2.9%
읍 9
 
2.9%
북 8
 
2.6%
Other values (64) 145
46.9%
Common
ValueCountFrequency (%)
113
39.0%
1 42
 
14.5%
2 21
 
7.2%
7 18
 
6.2%
3 16
 
5.5%
- 15
 
5.2%
0 12
 
4.1%
8 11
 
3.8%
6 11
 
3.8%
4 10
 
3.4%
Other values (3) 21
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 309
51.6%
ASCII 290
48.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
113
39.0%
1 42
 
14.5%
2 21
 
7.2%
7 18
 
6.2%
3 16
 
5.5%
- 15
 
5.2%
0 12
 
4.1%
8 11
 
3.8%
6 11
 
3.8%
4 10
 
3.4%
Other values (3) 21
 
7.2%
Hangul
ValueCountFrequency (%)
구 27
 
8.7%
로 25
 
8.1%
길 20
 
6.5%
울 17
 
5.5%
군 17
 
5.5%
주 17
 
5.5%
중 15
 
4.9%
동 9
 
2.9%
읍 9
 
2.9%
북 8
 
2.6%
Other values (64) 145
46.9%

Interactions

2023-12-23T07:30:00.032600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-23T07:30:13.264933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구군명시설명소재지
연번1.0000.9921.0000.936
구군명0.9921.0001.0001.000
시설명1.0001.0001.0001.000
소재지0.9361.0001.0001.000
2023-12-23T07:30:13.677904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구군명
연번1.0000.777
구군명0.7771.000

Missing values

2023-12-23T07:30:00.492028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-23T07:30:01.101766image/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

연번구군명시설명시설유형소재지
01중구울산광역시립노인요양원노인요양시설중구 백양로 147
12중구예랑소규모요양원노인요양시설중구 산전길 131
23중구늘푸른노인요양원노인요양시설중구 성안9길18
34중구효정요양원노인요양시설중구 해오름길 11-8
45중구늘푸른노인전문요양원노인요양시설중구 성안9길 18
56중구국민요양원노인요양시설중구 성안동 성안1길 163
67중구온누리요양원노인요양시설중구 백양로 104-1
78중구백정애건강실버타운노인요양시설중구 백양로 205
89중구효자실버요양원노인요양시설중구 성안1길 169
910중구9988 성안요양원노인요양시설중구 성안로 127
연번구군명시설명시설유형소재지
3334울주군신광노인요양원노인요양시설울주군 온산읍 산성길 62-7
3435울주군행복한실버홈노인요양시설울주군 삼남읍 상평강변길 29
3536울주군효도의집노인요양시설울주군 두서면 박달로 110-32
3637울주군도솔천노인요양원노인요양시설울주군 언양읍 언양로 661-111
3738울주군사랑의노인복지센터노인요양시설울주군 범서읍 지지길 40
3839울주군울산노인요양원노인요양시설울주군 삼동면 삼동로 670-18
3940울주군백양실버홈전원생활어르신의집노인요양시설울주군 온양읍 옥수곡길 31
4041울주군성모의집노인요양시설울주군 웅촌면 부채골길 57
4142울주군서울요양원노인요양시설울주군 온산읍 온덕1길 39, 5,6층
4243울주군효담의집 요양원노인요양시설울주군 상북면 상북로 320, 1층