Overview

Dataset statistics

Number of variables7
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory60.5 B

Variable types

Numeric1
Categorical1
Text4
DateTime1

Dataset

Description부산광역시 남구 소재의 노인복지시설(노인의료복지시설, 재가노인복지시설 등) 현황 자료 제공합니다. - 2023년 6월 기준
URLhttps://www.data.go.kr/data/15114872/fileData.do

Alerts

연번 is highly overall correlated with 시설유형High correlation
시설유형 is highly overall correlated with 연번High correlation
시설유형 is highly imbalanced (51.5%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:57:10.535123
Analysis finished2023-12-12 20:57:11.125065
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.5
Minimum1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-13T05:57:11.178025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.85
Q110.25
median19.5
Q328.75
95-th percentile36.15
Maximum38
Range37
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation11.113055
Coefficient of variation (CV)0.56990028
Kurtosis-1.2
Mean19.5
Median Absolute Deviation (MAD)9.5
Skewness0
Sum741
Variance123.5
MonotonicityStrictly increasing
2023-12-13T05:57:11.295304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
1 1
 
2.6%
30 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%
31 1
 
2.6%
Other values (28) 28
73.7%
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 (%)
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%
29 1
2.6%

시설유형
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
재가노인복지시설
34 
노인의료복지시설
4 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row노인의료복지시설
2nd row노인의료복지시설
3rd row노인의료복지시설
4th row노인의료복지시설
5th row재가노인복지시설

Common Values

ValueCountFrequency (%)
재가노인복지시설 34
89.5%
노인의료복지시설 4
 
10.5%

Length

2023-12-13T05:57:11.408077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:57:11.486814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가노인복지시설 34
89.5%
노인의료복지시설 4
 
10.5%

시설명
Text

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-13T05:57:11.673409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19.5
Mean length10.684211
Min length4

Characters and Unicode

Total characters406
Distinct characters118
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)94.7%

Sample

1st row령강노인종합복지센터
2nd row한솔보금자리실버홈
3rd row해피실버타운
4th row참사랑실버홈
5th row정성재가복지센터
ValueCountFrequency (%)
령강노인종합복지센터 2
 
4.0%
해피실버타운 2
 
4.0%
재가복지센터 2
 
4.0%
새미재가노인복지시설 1
 
2.0%
달명방문재활간호재가요양센터 1
 
2.0%
간호고수련 1
 
2.0%
방문간호재가센터 1
 
2.0%
하나울주간보호센터 1
 
2.0%
a)비지팅엔젤스 1
 
2.0%
부산남구방문요양지점 1
 
2.0%
Other values (37) 37
74.0%
2023-12-13T05:57:12.052521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 28
 
6.9%
터 28
 
6.9%
지 24
 
5.9%
복 22
 
5.4%
재 22
 
5.4%
가 20
 
4.9%
인 13
 
3.2%
12
 
3.0%
노 12
 
3.0%
호 11
 
2.7%
Other values (108) 214
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 390
96.1%
Space Separator 12
 
3.0%
Open Punctuation 1
 
0.2%
Uppercase Letter 1
 
0.2%
Close Punctuation 1
 
0.2%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 28
 
7.2%
터 28
 
7.2%
지 24
 
6.2%
복 22
 
5.6%
재 22
 
5.6%
가 20
 
5.1%
인 13
 
3.3%
노 12
 
3.1%
호 11
 
2.8%
간 7
 
1.8%
Other values (103) 203
52.1%
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%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 391
96.3%
Common 14
 
3.4%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 28
 
7.2%
터 28
 
7.2%
지 24
 
6.1%
복 22
 
5.6%
재 22
 
5.6%
가 20
 
5.1%
인 13
 
3.3%
노 12
 
3.1%
호 11
 
2.8%
간 7
 
1.8%
Other values (104) 204
52.2%
Common
ValueCountFrequency (%)
12
85.7%
( 1
 
7.1%
) 1
 
7.1%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 390
96.1%
ASCII 15
 
3.7%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 28
 
7.2%
터 28
 
7.2%
지 24
 
6.2%
복 22
 
5.6%
재 22
 
5.6%
가 20
 
5.1%
인 13
 
3.3%
노 12
 
3.1%
호 11
 
2.8%
간 7
 
1.8%
Other values (103) 203
52.1%
ASCII
ValueCountFrequency (%)
12
80.0%
( 1
 
6.7%
A 1
 
6.7%
) 1
 
6.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

전화번호
Text

Distinct36
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-13T05:57:12.243524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.973684
Min length9

Characters and Unicode

Total characters455
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 (%)89.5%

Sample

1st row051-624-8351
2nd row051-625-7356
3rd row051-621-5003
4th row051-807-6700
5th row051-635-8242
ValueCountFrequency (%)
051-621-5003 2
 
5.3%
051-807-6700 2
 
5.3%
051-623-1104 1
 
2.6%
051-624-8351 1
 
2.6%
070-4414-1504 1
 
2.6%
051-610-0636 1
 
2.6%
051-984-6333 1
 
2.6%
051-924-6900 1
 
2.6%
051-636-2777 1
 
2.6%
051-624-8890 1
 
2.6%
Other values (26) 26
68.4%
2023-12-13T05:57:12.560946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 78
17.1%
- 75
16.5%
1 60
13.2%
6 55
12.1%
5 48
10.5%
2 36
7.9%
3 30
 
6.6%
8 23
 
5.1%
7 21
 
4.6%
4 19
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 380
83.5%
Dash Punctuation 75
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 78
20.5%
1 60
15.8%
6 55
14.5%
5 48
12.6%
2 36
9.5%
3 30
 
7.9%
8 23
 
6.1%
7 21
 
5.5%
4 19
 
5.0%
9 10
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 75
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 455
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 78
17.1%
- 75
16.5%
1 60
13.2%
6 55
12.1%
5 48
10.5%
2 36
7.9%
3 30
 
6.6%
8 23
 
5.1%
7 21
 
4.6%
4 19
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 455
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 78
17.1%
- 75
16.5%
1 60
13.2%
6 55
12.1%
5 48
10.5%
2 36
7.9%
3 30
 
6.6%
8 23
 
5.1%
7 21
 
4.6%
4 19
 
4.2%

시설소재지 주소
Text

Distinct34
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-13T05:57:12.803485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length38.5
Mean length32.710526
Min length22

Characters and Unicode

Total characters1243
Distinct characters111
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

Unique30 ?
Unique (%)78.9%

Sample

1st row부산광역시 남구 천제등로 56-4 (대연동)
2nd row부산광역시 남구 동명로101번길 57-13 (용호동)
3rd row부산광역시 남구 동명로101번길 37-7 (용호동)
4th row부산광역시 남구 고동골로59번길 48-12 (문현동)
5th row부산광역시 남구 못골로12번길 12, 502호 (대연동, 정원오피스텔)
ValueCountFrequency (%)
부산광역시 38
 
15.8%
남구 38
 
15.8%
대연동 15
 
6.2%
용호동 13
 
5.4%
문현동 7
 
2.9%
수영로 5
 
2.1%
3층 3
 
1.2%
동명로101번길 3
 
1.2%
1층 3
 
1.2%
2층 3
 
1.2%
Other values (95) 112
46.7%
2023-12-13T05:57:13.264626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
202
 
16.3%
1 60
 
4.8%
동 54
 
4.3%
시 43
 
3.5%
, 42
 
3.4%
남 40
 
3.2%
로 39
 
3.1%
부 38
 
3.1%
( 38
 
3.1%
) 38
 
3.1%
Other values (101) 649
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 678
54.5%
Decimal Number 224
 
18.0%
Space Separator 202
 
16.3%
Other Punctuation 42
 
3.4%
Open Punctuation 38
 
3.1%
Close Punctuation 38
 
3.1%
Dash Punctuation 14
 
1.1%
Uppercase Letter 6
 
0.5%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 54
 
8.0%
시 43
 
6.3%
남 40
 
5.9%
로 39
 
5.8%
부 38
 
5.6%
산 38
 
5.6%
구 38
 
5.6%
역 38
 
5.6%
광 38
 
5.6%
호 30
 
4.4%
Other values (80) 282
41.6%
Decimal Number
ValueCountFrequency (%)
1 60
26.8%
2 36
16.1%
3 27
12.1%
0 26
11.6%
4 17
 
7.6%
5 16
 
7.1%
9 13
 
5.8%
6 12
 
5.4%
7 10
 
4.5%
8 7
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
G 2
33.3%
P 1
16.7%
L 1
16.7%
I 1
16.7%
S 1
16.7%
Space Separator
ValueCountFrequency (%)
202
100.0%
Other Punctuation
ValueCountFrequency (%)
, 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 678
54.5%
Common 558
44.9%
Latin 7
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 54
 
8.0%
시 43
 
6.3%
남 40
 
5.9%
로 39
 
5.8%
부 38
 
5.6%
산 38
 
5.6%
구 38
 
5.6%
역 38
 
5.6%
광 38
 
5.6%
호 30
 
4.4%
Other values (80) 282
41.6%
Common
ValueCountFrequency (%)
202
36.2%
1 60
 
10.8%
, 42
 
7.5%
( 38
 
6.8%
) 38
 
6.8%
2 36
 
6.5%
3 27
 
4.8%
0 26
 
4.7%
4 17
 
3.0%
5 16
 
2.9%
Other values (5) 56
 
10.0%
Latin
ValueCountFrequency (%)
G 2
28.6%
P 1
14.3%
L 1
14.3%
I 1
14.3%
Ⅲ 1
14.3%
S 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 678
54.5%
ASCII 564
45.4%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
202
35.8%
1 60
 
10.6%
, 42
 
7.4%
( 38
 
6.7%
) 38
 
6.7%
2 36
 
6.4%
3 27
 
4.8%
0 26
 
4.6%
4 17
 
3.0%
5 16
 
2.8%
Other values (10) 62
 
11.0%
Hangul
ValueCountFrequency (%)
동 54
 
8.0%
시 43
 
6.3%
남 40
 
5.9%
로 39
 
5.8%
부 38
 
5.6%
산 38
 
5.6%
구 38
 
5.6%
역 38
 
5.6%
광 38
 
5.6%
호 30
 
4.4%
Other values (80) 282
41.6%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

시설장명
Text

Distinct35
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-13T05:57:13.489539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9736842
Min length2

Characters and Unicode

Total characters113
Distinct characters55
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

Unique32 ?
Unique (%)84.2%

Sample

1st row한정교
2nd row이수진
3rd row송선규
4th row박덕엽
5th row안정미
ValueCountFrequency (%)
한정교 2
 
5.3%
송선규 2
 
5.3%
박덕엽 2
 
5.3%
이미영 1
 
2.6%
신은경 1
 
2.6%
김둘임 1
 
2.6%
박서진 1
 
2.6%
김승우 1
 
2.6%
한원주 1
 
2.6%
추용권 1
 
2.6%
Other values (25) 25
65.8%
2023-12-13T05:57:13.833392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 10
 
8.8%
이 7
 
6.2%
진 6
 
5.3%
정 6
 
5.3%
미 5
 
4.4%
현 4
 
3.5%
박 4
 
3.5%
영 4
 
3.5%
선 4
 
3.5%
민 3
 
2.7%
Other values (45) 60
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 113
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 10
 
8.8%
이 7
 
6.2%
진 6
 
5.3%
정 6
 
5.3%
미 5
 
4.4%
현 4
 
3.5%
박 4
 
3.5%
영 4
 
3.5%
선 4
 
3.5%
민 3
 
2.7%
Other values (45) 60
53.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 113
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 10
 
8.8%
이 7
 
6.2%
진 6
 
5.3%
정 6
 
5.3%
미 5
 
4.4%
현 4
 
3.5%
박 4
 
3.5%
영 4
 
3.5%
선 4
 
3.5%
민 3
 
2.7%
Other values (45) 60
53.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 113
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 10
 
8.8%
이 7
 
6.2%
진 6
 
5.3%
정 6
 
5.3%
미 5
 
4.4%
현 4
 
3.5%
박 4
 
3.5%
영 4
 
3.5%
선 4
 
3.5%
민 3
 
2.7%
Other values (45) 60
53.1%

설치일자
Date

Distinct27
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum2008-01-08 00:00:00
Maximum2023-02-28 00:00:00
2023-12-13T05:57:13.967756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:57:14.090326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

Interactions

2023-12-13T05:57:10.889818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:57:14.198467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설유형시설명전화번호시설소재지 주소시설장명설치일자
연번1.0001.0000.9110.8750.6510.7860.893
시설유형1.0001.0000.0000.0000.0000.0000.829
시설명0.9110.0001.0000.9811.0001.0001.000
전화번호0.8750.0000.9811.0001.0001.0000.880
시설소재지 주소0.6510.0001.0001.0001.0001.0000.951
시설장명0.7860.0001.0001.0001.0001.0000.960
설치일자0.8930.8291.0000.8800.9510.9601.000
2023-12-13T05:57:14.303692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설유형
연번1.0000.882
시설유형0.8821.000

Missing values

2023-12-13T05:57:10.992267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:57:11.088063image/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

연번시설유형시설명전화번호시설소재지 주소시설장명설치일자
01노인의료복지시설령강노인종합복지센터051-624-8351부산광역시 남구 천제등로 56-4 (대연동)한정교2008-01-08
12노인의료복지시설한솔보금자리실버홈051-625-7356부산광역시 남구 동명로101번길 57-13 (용호동)이수진2009-05-13
23노인의료복지시설해피실버타운051-621-5003부산광역시 남구 동명로101번길 37-7 (용호동)송선규2012-05-22
34노인의료복지시설참사랑실버홈051-807-6700부산광역시 남구 고동골로59번길 48-12 (문현동)박덕엽2017-06-19
45재가노인복지시설정성재가복지센터051-635-8242부산광역시 남구 못골로12번길 12, 502호 (대연동, 정원오피스텔)안정미2021-05-11
56재가노인복지시설스마일시니어햇살재가방문요양센터051-626-8803부산광역시 남구 진남로36번길 45, 1층 (대연동, 시온빌리지Ⅲ)김지현2020-12-21
67재가노인복지시설해피실버타운 주간보호센터051-621-5003부산광역시 남구 동명로101번길 37-7 (용호동)송선규2018-10-05
78재가노인복지시설이룸재가장기요양센터051-624-0661부산광역시 남구 동명로146번길 51 (용호동)윤수영2020-06-22
89재가노인복지시설갈매기복지용구051-632-0526부산광역시 남구 유엔로 10, 상가동 지하층 지1호 (우암동, 뉴서울아파트)민금복2021-03-11
910재가노인복지시설참사랑재가복지서비스센터051-807-6700부산광역시 남구 고동골로59번길 48-12 (문현동)박덕엽2017-06-20
연번시설유형시설명전화번호시설소재지 주소시설장명설치일자
2829재가노인복지시설해피케어하우스 재활주간보호051-624-8890부산광역시 남구 황령대로319번가길 170 (대연동)한원주2022-11-08
2930재가노인복지시설새미재가노인복지시설070-4414-1504부산광역시 남구 동명로132번길 99 (용호동)정연선2023-02-28
3031재가노인복지시설실버청춘재가복지센터051-624-0025부산광역시 남구 수영로293번길 30-4, 3층 (대연동)이미영2023-02-28
3132재가노인복지시설인생복지051-623-7888부산광역시 남구 동명로132번길 90, 지하1층 (용호동)표현용2023-02-28
3233재가노인복지시설국민건강재가복지센터051-635-0086부산광역시 남구 자성로 152, 5층 503호 (문현동, 한일오피스텔)박미영2023-02-28
3334재가노인복지시설장수만세복지센터051-612-3379부산광역시 남구 용호로 34, 상가동 108호 (용호동, 일신프리빌리지)손원진2023-02-28
3435재가노인복지시설케어닥 방문요양돌봄센터 용호파트너점051-622-6200부산광역시 남구 용주로 36, 102동 501호 (용호동, 아름파크)서상현2023-02-28
3536재가노인복지시설라파엘케어 통합재가센터1688-6886부산광역시 남구 황령대로319번나길 12-3, 102호 (대연동, PLIG)김희정2023-02-28
3637재가노인복지시설용호재가노인복지센터051-637-6737부산광역시 남구 이기대공원로 7 (용호동)하유나2019-05-01
3738재가노인복지시설청전재가노인복지센터051-622-1226부산광역시 남구 유엔로 124 (대연동)김선미2013-02-15