Overview

Dataset statistics

Number of variables5
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory44.7 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description부산광역시_사상구_노인복지시설현황_20230705
Author부산광역시 사상구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15055219

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 started2023-12-10 16:22:20.933043
Analysis finished2023-12-10 16:22:21.593379
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.5
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:22:21.682968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.75
Q19.75
median18.5
Q327.25
95-th percentile34.25
Maximum36
Range35
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation10.535654
Coefficient of variation (CV)0.5694948
Kurtosis-1.2
Mean18.5
Median Absolute Deviation (MAD)9
Skewness0
Sum666
Variance111
MonotonicityStrictly increasing
2023-12-11T01:22:21.858714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1 1
 
2.8%
20 1
 
2.8%
22 1
 
2.8%
23 1
 
2.8%
24 1
 
2.8%
25 1
 
2.8%
26 1
 
2.8%
27 1
 
2.8%
28 1
 
2.8%
29 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
1 1
2.8%
2 1
2.8%
3 1
2.8%
4 1
2.8%
5 1
2.8%
6 1
2.8%
7 1
2.8%
8 1
2.8%
9 1
2.8%
10 1
2.8%
ValueCountFrequency (%)
36 1
2.8%
35 1
2.8%
34 1
2.8%
33 1
2.8%
32 1
2.8%
31 1
2.8%
30 1
2.8%
29 1
2.8%
28 1
2.8%
27 1
2.8%

시설구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
재가노인복지시설
24 
노인요양시설
노인복지관
 
2
노인요양공동생활가정
 
1
노인일자리지원기관
 
1

Length

Max length10
Median length8
Mean length7.4722222
Min length5

Unique

Unique2 ?
Unique (%)5.6%

Sample

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

Common Values

ValueCountFrequency (%)
재가노인복지시설 24
66.7%
노인요양시설 8
 
22.2%
노인복지관 2
 
5.6%
노인요양공동생활가정 1
 
2.8%
노인일자리지원기관 1
 
2.8%

Length

2023-12-11T01:22:22.057707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:22:22.239630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가노인복지시설 24
66.7%
노인요양시설 8
 
22.2%
노인복지관 2
 
5.6%
노인요양공동생활가정 1
 
2.8%
노인일자리지원기관 1
 
2.8%

시설명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-11T01:22:22.574907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length11.138889
Min length5

Characters and Unicode

Total characters401
Distinct characters107
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

Unique36 ?
Unique (%)100.0%

Sample

1st row보성실버센터
2nd row보성실버홈
3rd row부산광역시 노인건강센터
4th row서부산노인요양원
5th row윤금노인요양원
ValueCountFrequency (%)
사상구노인복지관 3
 
6.2%
부설 2
 
4.2%
보성실버센터 1
 
2.1%
사상구어르신유치원 1
 
2.1%
상록수드리미 1
 
2.1%
재가센터 1
 
2.1%
구순재가노인복지센터 1
 
2.1%
성산재가복지센터 1
 
2.1%
신모라재가복지센터 1
 
2.1%
행복한주간보호센터 1
 
2.1%
Other values (35) 35
72.9%
2023-12-11T01:22:23.135906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
6.5%
26
 
6.5%
18
 
4.5%
16
 
4.0%
16
 
4.0%
16
 
4.0%
16
 
4.0%
13
 
3.2%
13
 
3.2%
12
 
3.0%
Other values (97) 229
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 386
96.3%
Space Separator 12
 
3.0%
Open Punctuation 1
 
0.2%
Uppercase Letter 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
26
 
6.7%
26
 
6.7%
18
 
4.7%
16
 
4.1%
16
 
4.1%
16
 
4.1%
16
 
4.1%
13
 
3.4%
13
 
3.4%
12
 
3.1%
Other values (93) 214
55.4%
Space Separator
ValueCountFrequency (%)
12
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 386
96.3%
Common 14
 
3.5%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
26
 
6.7%
26
 
6.7%
18
 
4.7%
16
 
4.1%
16
 
4.1%
16
 
4.1%
16
 
4.1%
13
 
3.4%
13
 
3.4%
12
 
3.1%
Other values (93) 214
55.4%
Common
ValueCountFrequency (%)
12
85.7%
( 1
 
7.1%
) 1
 
7.1%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 386
96.3%
ASCII 15
 
3.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
26
 
6.7%
26
 
6.7%
18
 
4.7%
16
 
4.1%
16
 
4.1%
16
 
4.1%
16
 
4.1%
13
 
3.4%
13
 
3.4%
12
 
3.1%
Other values (93) 214
55.4%
ASCII
ValueCountFrequency (%)
12
80.0%
( 1
 
6.7%
A 1
 
6.7%
) 1
 
6.7%

소재지
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-11T01:22:23.530623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length31.111111
Min length22

Characters and Unicode

Total characters1120
Distinct characters79
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

Unique36 ?
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 36
 
17.3%
사상구 36
 
17.3%
1층 8
 
3.8%
주례동 5
 
2.4%
덕포동 4
 
1.9%
모라동 4
 
1.9%
학장동 4
 
1.9%
사상로 4
 
1.9%
엄궁동 4
 
1.9%
백양대로 3
 
1.4%
Other values (91) 100
48.1%
2023-12-11T01:22:24.140008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
173
 
15.4%
1 50
 
4.5%
46
 
4.1%
44
 
3.9%
40
 
3.6%
37
 
3.3%
36
 
3.2%
36
 
3.2%
36
 
3.2%
36
 
3.2%
Other values (69) 586
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 636
56.8%
Decimal Number 199
 
17.8%
Space Separator 173
 
15.4%
Close Punctuation 35
 
3.1%
Other Punctuation 35
 
3.1%
Open Punctuation 35
 
3.1%
Dash Punctuation 7
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
46
 
7.2%
44
 
6.9%
40
 
6.3%
37
 
5.8%
36
 
5.7%
36
 
5.7%
36
 
5.7%
36
 
5.7%
36
 
5.7%
36
 
5.7%
Other values (54) 253
39.8%
Decimal Number
ValueCountFrequency (%)
1 50
25.1%
3 25
12.6%
2 23
11.6%
7 20
 
10.1%
0 18
 
9.0%
4 15
 
7.5%
5 14
 
7.0%
9 13
 
6.5%
6 12
 
6.0%
8 9
 
4.5%
Space Separator
ValueCountFrequency (%)
173
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Other Punctuation
ValueCountFrequency (%)
, 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 636
56.8%
Common 484
43.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
46
 
7.2%
44
 
6.9%
40
 
6.3%
37
 
5.8%
36
 
5.7%
36
 
5.7%
36
 
5.7%
36
 
5.7%
36
 
5.7%
36
 
5.7%
Other values (54) 253
39.8%
Common
ValueCountFrequency (%)
173
35.7%
1 50
 
10.3%
) 35
 
7.2%
, 35
 
7.2%
( 35
 
7.2%
3 25
 
5.2%
2 23
 
4.8%
7 20
 
4.1%
0 18
 
3.7%
4 15
 
3.1%
Other values (5) 55
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 636
56.8%
ASCII 484
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
173
35.7%
1 50
 
10.3%
) 35
 
7.2%
, 35
 
7.2%
( 35
 
7.2%
3 25
 
5.2%
2 23
 
4.8%
7 20
 
4.1%
0 18
 
3.7%
4 15
 
3.1%
Other values (5) 55
 
11.4%
Hangul
ValueCountFrequency (%)
46
 
7.2%
44
 
6.9%
40
 
6.3%
37
 
5.8%
36
 
5.7%
36
 
5.7%
36
 
5.7%
36
 
5.7%
36
 
5.7%
36
 
5.7%
Other values (54) 253
39.8%
Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-11T01:22:24.403452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters432
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

Unique34 ?
Unique (%)94.4%

Sample

1st row051-311-3150
2nd row051-311-3122
3rd row051-310-7500
4th row051-325-9998
5th row051-312-0675
ValueCountFrequency (%)
051-301-2006 2
 
5.6%
051-322-6900 1
 
2.8%
051-961-2556 1
 
2.8%
051-322-7771 1
 
2.8%
051-995-9995 1
 
2.8%
051-960-9898 1
 
2.8%
051-302-8127 1
 
2.8%
051-323-9997 1
 
2.8%
051-312-7088 1
 
2.8%
051-311-3150 1
 
2.8%
Other values (25) 25
69.4%
2023-12-11T01:22:24.900295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 77
17.8%
- 72
16.7%
0 70
16.2%
5 59
13.7%
3 44
10.2%
2 35
8.1%
8 19
 
4.4%
9 19
 
4.4%
7 18
 
4.2%
6 11
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 360
83.3%
Dash Punctuation 72
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 77
21.4%
0 70
19.4%
5 59
16.4%
3 44
12.2%
2 35
9.7%
8 19
 
5.3%
9 19
 
5.3%
7 18
 
5.0%
6 11
 
3.1%
4 8
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 432
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 77
17.8%
- 72
16.7%
0 70
16.2%
5 59
13.7%
3 44
10.2%
2 35
8.1%
8 19
 
4.4%
9 19
 
4.4%
7 18
 
4.2%
6 11
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 432
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 77
17.8%
- 72
16.7%
0 70
16.2%
5 59
13.7%
3 44
10.2%
2 35
8.1%
8 19
 
4.4%
9 19
 
4.4%
7 18
 
4.2%
6 11
 
2.5%

Interactions

2023-12-11T01:22:21.258861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:22:25.052555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설구분시설명소재지전화번호
연번1.0000.8861.0001.0000.946
시설구분0.8861.0001.0001.0000.000
시설명1.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.000
전화번호0.9460.0001.0001.0001.000
2023-12-11T01:22:25.202548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설구분
연번1.0000.580
시설구분0.5801.000

Missing values

2023-12-11T01:22:21.429477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:22:21.553129image/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
2627재가노인복지시설늘해랑재가복지센터부산광역시 사상구 사상로525번길 27, 101호 (모라동, 팰리스하우스)051-961-2556
2728재가노인복지시설가림재가복지센터부산광역시 사상구 백양대로 372-16, 상가동 224호 (주례동)051-322-6900
2829재가노인복지시설햇살재활주간보호센터부산광역시 사상구 사상로 332, 2층 (덕포동)051-303-3114
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