Overview

Dataset statistics

Number of variables5
Number of observations39
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory44.3 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description노인복지시설 현황(시설구분, 시설명, 소재지, 전화번호)(노인요양시설, 노인복지관, 노인일자리지원기관, 재가노인복지시설)
Author부산광역시 사상구
URLhttps://www.data.go.kr/data/15055219/fileData.do

Alerts

연번 is highly overall correlated with 시설구분High correlation
시설구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
시설명 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2024-03-14 22:55:01.934518
Analysis finished2024-03-14 22:55:03.414755
Duration1.48 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20
Minimum1
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size479.0 B
2024-03-15T07:55:03.924203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q110.5
median20
Q329.5
95-th percentile37.1
Maximum39
Range38
Interquartile range (IQR)19

Descriptive statistics

Standard deviation11.401754
Coefficient of variation (CV)0.57008771
Kurtosis-1.2
Mean20
Median Absolute Deviation (MAD)10
Skewness0
Sum780
Variance130
MonotonicityStrictly increasing
2024-03-15T07:55:04.366322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1 1
 
2.6%
2 1
 
2.6%
23 1
 
2.6%
24 1
 
2.6%
25 1
 
2.6%
26 1
 
2.6%
27 1
 
2.6%
28 1
 
2.6%
29 1
 
2.6%
30 1
 
2.6%
Other values (29) 29
74.4%
ValueCountFrequency (%)
1 1
2.6%
2 1
2.6%
3 1
2.6%
4 1
2.6%
5 1
2.6%
6 1
2.6%
7 1
2.6%
8 1
2.6%
9 1
2.6%
10 1
2.6%
ValueCountFrequency (%)
39 1
2.6%
38 1
2.6%
37 1
2.6%
36 1
2.6%
35 1
2.6%
34 1
2.6%
33 1
2.6%
32 1
2.6%
31 1
2.6%
30 1
2.6%

시설구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size440.0 B
재가노인복지시설
27 
노인요양시설
8 
노인복지관
 
2
노인요양공동생활가정
 
1
노인일자리지원기관
 
1

Length

Max length10
Median length8
Mean length7.5128205
Min length5

Unique

Unique2 ?
Unique (%)5.1%

Sample

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

Common Values

ValueCountFrequency (%)
재가노인복지시설 27
69.2%
노인요양시설 8
 
20.5%
노인복지관 2
 
5.1%
노인요양공동생활가정 1
 
2.6%
노인일자리지원기관 1
 
2.6%

Length

2024-03-15T07:55:04.807758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:55:05.154131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가노인복지시설 27
69.2%
노인요양시설 8
 
20.5%
노인복지관 2
 
5.1%
노인요양공동생활가정 1
 
2.6%
노인일자리지원기관 1
 
2.6%

시설명
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size440.0 B
2024-03-15T07:55:05.963847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length11.179487
Min length5

Characters and Unicode

Total characters436
Distinct characters111
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

Unique39 ?
Unique (%)100.0%

Sample

1st row보성실버센터
2nd row보성실버홈
3rd row부산광역시 노인건강센터
4th row서부산노인요양원
5th row윤금노인요양원
ValueCountFrequency (%)
사상구노인복지관 3
 
5.6%
부설 2
 
3.7%
성산재가복지센터 1
 
1.9%
신모라재가복지센터 1
 
1.9%
행복한주간보호센터 1
 
1.9%
다사랑재가복지센터 1
 
1.9%
늘해랑재가복지센터 1
 
1.9%
가림재가복지센터 1
 
1.9%
햇살재활주간보호센터 1
 
1.9%
상록수드리미 1
 
1.9%
Other values (41) 41
75.9%
2024-03-15T07:55:07.249937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 28
 
6.4%
터 28
 
6.4%
지 19
 
4.4%
가 17
 
3.9%
복 17
 
3.9%
재 17
 
3.9%
사 17
 
3.9%
15
 
3.4%
상 14
 
3.2%
인 14
 
3.2%
Other values (101) 250
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 418
95.9%
Space Separator 15
 
3.4%
Open Punctuation 1
 
0.2%
Uppercase Letter 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 28
 
6.7%
터 28
 
6.7%
지 19
 
4.5%
가 17
 
4.1%
복 17
 
4.1%
재 17
 
4.1%
사 17
 
4.1%
상 14
 
3.3%
인 14
 
3.3%
노 13
 
3.1%
Other values (97) 234
56.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 418
95.9%
Common 17
 
3.9%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 28
 
6.7%
터 28
 
6.7%
지 19
 
4.5%
가 17
 
4.1%
복 17
 
4.1%
재 17
 
4.1%
사 17
 
4.1%
상 14
 
3.3%
인 14
 
3.3%
노 13
 
3.1%
Other values (97) 234
56.0%
Common
ValueCountFrequency (%)
15
88.2%
( 1
 
5.9%
) 1
 
5.9%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 418
95.9%
ASCII 18
 
4.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 28
 
6.7%
터 28
 
6.7%
지 19
 
4.5%
가 17
 
4.1%
복 17
 
4.1%
재 17
 
4.1%
사 17
 
4.1%
상 14
 
3.3%
인 14
 
3.3%
노 13
 
3.1%
Other values (97) 234
56.0%
ASCII
ValueCountFrequency (%)
15
83.3%
( 1
 
5.6%
A 1
 
5.6%
) 1
 
5.6%

소재지
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size440.0 B
2024-03-15T07:55:08.243590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length31.538462
Min length22

Characters and Unicode

Total characters1230
Distinct characters85
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)100.0%

Sample

1st row부산광역시 사상구 가야대로318번길 78(주례동,보성실버센터)
2nd row부산광역시 사상구 가야대로330번길 58-4(주례동)
3rd row부산광역시 사상구 학감대로39번길 129(학장동)
4th row부산광역시 사상구 운산로 112(괘법동)
5th row부산광역시 사상구 가야대로 187(주례동)
ValueCountFrequency (%)
부산광역시 39
 
17.0%
사상구 39
 
17.0%
1층 9
 
3.9%
주례동 5
 
2.2%
모라동 5
 
2.2%
학장동 5
 
2.2%
사상로 4
 
1.7%
덕포동 4
 
1.7%
엄궁동 4
 
1.7%
백양대로 3
 
1.3%
Other values (98) 112
48.9%
2024-03-15T07:55:09.409951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
191
 
15.5%
1 52
 
4.2%
상 49
 
4.0%
사 47
 
3.8%
동 43
 
3.5%
산 42
 
3.4%
부 40
 
3.3%
, 40
 
3.3%
역 40
 
3.3%
광 40
 
3.3%
Other values (75) 646
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 700
56.9%
Decimal Number 215
 
17.5%
Space Separator 191
 
15.5%
Other Punctuation 40
 
3.3%
Close Punctuation 38
 
3.1%
Open Punctuation 38
 
3.1%
Dash Punctuation 8
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 49
 
7.0%
사 47
 
6.7%
동 43
 
6.1%
산 42
 
6.0%
부 40
 
5.7%
역 40
 
5.7%
광 40
 
5.7%
시 40
 
5.7%
구 39
 
5.6%
로 39
 
5.6%
Other values (60) 281
40.1%
Decimal Number
ValueCountFrequency (%)
1 52
24.2%
3 26
12.1%
2 25
11.6%
7 21
9.8%
0 20
 
9.3%
4 17
 
7.9%
5 16
 
7.4%
9 16
 
7.4%
6 13
 
6.0%
8 9
 
4.2%
Space Separator
ValueCountFrequency (%)
191
100.0%
Other Punctuation
ValueCountFrequency (%)
, 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 700
56.9%
Common 530
43.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 49
 
7.0%
사 47
 
6.7%
동 43
 
6.1%
산 42
 
6.0%
부 40
 
5.7%
역 40
 
5.7%
광 40
 
5.7%
시 40
 
5.7%
구 39
 
5.6%
로 39
 
5.6%
Other values (60) 281
40.1%
Common
ValueCountFrequency (%)
191
36.0%
1 52
 
9.8%
, 40
 
7.5%
) 38
 
7.2%
( 38
 
7.2%
3 26
 
4.9%
2 25
 
4.7%
7 21
 
4.0%
0 20
 
3.8%
4 17
 
3.2%
Other values (5) 62
 
11.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 700
56.9%
ASCII 530
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
191
36.0%
1 52
 
9.8%
, 40
 
7.5%
) 38
 
7.2%
( 38
 
7.2%
3 26
 
4.9%
2 25
 
4.7%
7 21
 
4.0%
0 20
 
3.8%
4 17
 
3.2%
Other values (5) 62
 
11.7%
Hangul
ValueCountFrequency (%)
상 49
 
7.0%
사 47
 
6.7%
동 43
 
6.1%
산 42
 
6.0%
부 40
 
5.7%
역 40
 
5.7%
광 40
 
5.7%
시 40
 
5.7%
구 39
 
5.6%
로 39
 
5.6%
Other values (60) 281
40.1%

전화번호
Text

Distinct37
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size440.0 B
2024-03-15T07:55:10.246987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters468
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

Unique35 ?
Unique (%)89.7%

Sample

1st row051-311-3150
2nd row051-311-3122
3rd row051-310-7500
4th row051-325-9998
5th row051-312-0675
ValueCountFrequency (%)
051-310-7500 2
 
5.1%
051-301-2006 2
 
5.1%
051-312-7088 1
 
2.6%
051-323-9997 1
 
2.6%
051-326-3260 1
 
2.6%
051-961-2556 1
 
2.6%
051-311-3150 1
 
2.6%
051-303-3114 1
 
2.6%
051-960-9898 1
 
2.6%
051-302-8127 1
 
2.6%
Other values (27) 27
69.2%
2024-03-15T07:55:11.379844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 82
17.5%
0 78
16.7%
- 78
16.7%
5 63
13.5%
3 47
10.0%
2 37
7.9%
9 21
 
4.5%
7 20
 
4.3%
8 20
 
4.3%
6 14
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 390
83.3%
Dash Punctuation 78
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 82
21.0%
0 78
20.0%
5 63
16.2%
3 47
12.1%
2 37
9.5%
9 21
 
5.4%
7 20
 
5.1%
8 20
 
5.1%
6 14
 
3.6%
4 8
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 468
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 82
17.5%
0 78
16.7%
- 78
16.7%
5 63
13.5%
3 47
10.0%
2 37
7.9%
9 21
 
4.5%
7 20
 
4.3%
8 20
 
4.3%
6 14
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 468
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 82
17.5%
0 78
16.7%
- 78
16.7%
5 63
13.5%
3 47
10.0%
2 37
7.9%
9 21
 
4.5%
7 20
 
4.3%
8 20
 
4.3%
6 14
 
3.0%

Interactions

2024-03-15T07:55:02.523470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T07:55:11.648744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설구분시설명소재지전화번호
연번1.0000.9021.0001.0000.866
시설구분0.9021.0001.0001.0000.000
시설명1.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.000
전화번호0.8660.0001.0001.0001.000
2024-03-15T07:55:11.900651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설구분
연번1.0000.542
시설구분0.5421.000

Missing values

2024-03-15T07:55:02.979377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T07:55:03.298798image/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

연번시설구분시설명소재지전화번호
01노인요양시설보성실버센터부산광역시 사상구 가야대로318번길 78(주례동,보성실버센터)051-311-3150
12노인요양시설보성실버홈부산광역시 사상구 가야대로330번길 58-4(주례동)051-311-3122
23노인요양시설부산광역시 노인건강센터부산광역시 사상구 학감대로39번길 129(학장동)051-310-7500
34노인요양시설서부산노인요양원부산광역시 사상구 운산로 112(괘법동)051-325-9998
45노인요양시설윤금노인요양원부산광역시 사상구 가야대로 187(주례동)051-312-0675
56노인요양시설정향행복한마을부산광역시 사상구 백양대로 687-23(덕포동)051-303-1258
67노인요양시설정향효마을부산광역시 사상구 엄궁북로4번길 39(엄궁동)051-322-1250
78노인요양시설참조은실버요양원부산광역시 사상구 백양대로572번길 17-8(감전동)051-316-1512
89노인요양공동생활가정사상실버웰요양홈부산광역시 사상구 삼덕로71, 1층(덕포동, 아가페타운)051-301-2006
910노인복지관사상구노인복지관부산광역시 사상구 가야대로196번길 51(학장동, 다누림센터 내 4,5층)051-325-7555
연번시설구분시설명소재지전화번호
2930재가노인복지시설엄궁주간보호센터부산광역시 사상구 낙동대로 790, 8층 (엄궁동)051-312-7890
3031재가노인복지시설재활인주간보호센터부산광역시 사상구 주례로 101, 상가1동 5층 (주례동)051-715-7150
3132재가노인복지시설사상실버웰주간보호센터부산광역시 사상구 삼덕로 71, 1층 (덕포동, 아가페타운)051-301-2006
3233재가노인복지시설(A)비지팅엔젤스 부산사상방문요양지점부산광역시 사상구 사상로 109, 4층 401호 (감전동)051-323-1620
3334재가노인복지시설행복재가노인복지센터부산광역시 사상구 엄궁남로11번길 27, 1층 (엄궁동)051-324-8988
3435재가노인복지시설사상구어르신유치원 주간보호센터부산광역시 사상구 낙동대로 751, 6층 (엄궁동)051-312-7088
3536재가노인복지시설케어닥방문요양돌봄센터 덕포파트너점부산광역시 사상구 사상로 403, 1층 102호 (덕포동)051-303-6518
3637재가노인복지시설더케어 재가복지센터부산광역시 사상구 모라로 90-6, 5층 502호 (모라동, 정수빌딩)051-326-3260
3738재가노인복지시설부산광역시노인건강센터 단기보호부산광역시 사상구 학감대로39번길 129, 4층 (학장동, 부산광역시노인건강센터)051-310-7500
3839재가노인복지시설신기의료기 사상점부산광역시 사상구 운산로 74, 1층 (괘법동)051-710-9986