Overview

Dataset statistics

Number of variables7
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory60.0 B

Variable types

Text4
Categorical3

Dataset

Description부산광역시중구장기요양기관현황_20191115
Author부산광역시 중구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15026401

Alerts

기관종류 is highly overall correlated with 급여종류 and 1 other fieldsHigh correlation
급여종류 is highly overall correlated with 기관종류 and 1 other fieldsHigh correlation
설립구분 is highly overall correlated with 기관종류 and 1 other fieldsHigh correlation
기관종류 is highly imbalanced (60.2%)Imbalance

Reproduction

Analysis started2023-12-10 16:53:18.086703
Analysis finished2023-12-10 16:53:18.620832
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T01:53:18.772492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length9.5757576
Min length2

Characters and Unicode

Total characters316
Distinct characters90
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)93.9%

Sample

1st row송산노인전문요양원
2nd row노틀담노인복지센터
3rd row봉생중구노인복지센터
4th row중구재가노인지원서비스센터
5th row은성노인복지센터
ValueCountFrequency (%)
봉생중구노인복지센터 2
 
5.9%
현대종합복지센터 1
 
2.9%
부산중구지역자활센터 1
 
2.9%
나눔재가복지센터 1
 
2.9%
신자애노인복지센터 1
 
2.9%
한마음노인재가복지센터 1
 
2.9%
정민복지재가센터 1
 
2.9%
온맘재가복지센터 1
 
2.9%
동행재가노인복지센터 1
 
2.9%
자애재가노인복지센터 1
 
2.9%
Other values (23) 23
67.6%
2023-12-11T01:53:19.112884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 28
 
8.9%
터 27
 
8.5%
지 26
 
8.2%
복 23
 
7.3%
노 19
 
6.0%
인 18
 
5.7%
가 16
 
5.1%
재 16
 
5.1%
구 8
 
2.5%
중 7
 
2.2%
Other values (80) 128
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 315
99.7%
Space Separator 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 28
 
8.9%
터 27
 
8.6%
지 26
 
8.3%
복 23
 
7.3%
노 19
 
6.0%
인 18
 
5.7%
가 16
 
5.1%
재 16
 
5.1%
구 8
 
2.5%
중 7
 
2.2%
Other values (79) 127
40.3%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 315
99.7%
Common 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 28
 
8.9%
터 27
 
8.6%
지 26
 
8.3%
복 23
 
7.3%
노 19
 
6.0%
인 18
 
5.7%
가 16
 
5.1%
재 16
 
5.1%
구 8
 
2.5%
중 7
 
2.2%
Other values (79) 127
40.3%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 315
99.7%
ASCII 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 28
 
8.9%
터 27
 
8.6%
지 26
 
8.3%
복 23
 
7.3%
노 19
 
6.0%
인 18
 
5.7%
가 16
 
5.1%
재 16
 
5.1%
구 8
 
2.5%
중 7
 
2.2%
Other values (79) 127
40.3%
ASCII
ValueCountFrequency (%)
1
100.0%

기관종류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
재가장기요양기관
29 
재가급여제공 장기요양기관
3 
시설급여제공 장기요양기관
 
1

Length

Max length13
Median length8
Mean length8.6060606
Min length8

Unique

Unique1 ?
Unique (%)3.0%

Sample

1st row시설급여제공 장기요양기관
2nd row재가급여제공 장기요양기관
3rd row재가급여제공 장기요양기관
4th row재가급여제공 장기요양기관
5th row재가장기요양기관

Common Values

ValueCountFrequency (%)
재가장기요양기관 29
87.9%
재가급여제공 장기요양기관 3
 
9.1%
시설급여제공 장기요양기관 1
 
3.0%

Length

2023-12-11T01:53:19.240725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:53:19.331182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가장기요양기관 29
78.4%
장기요양기관 4
 
10.8%
재가급여제공 3
 
8.1%
시설급여제공 1
 
2.7%

급여종류
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
방문요양
12 
방문요양,방문목욕
11 
복지용구제공사업소
5 
방문요양,주야간보호
2 
방문목욕
2 

Length

Max length11
Median length10
Mean length7
Min length4

Unique

Unique1 ?
Unique (%)3.0%

Sample

1st row노인요양시설(개정법)
2nd row방문요양,주야간보호
3rd row방문요양
4th row방문요양,주야간보호
5th row방문요양,방문목욕

Common Values

ValueCountFrequency (%)
방문요양 12
36.4%
방문요양,방문목욕 11
33.3%
복지용구제공사업소 5
15.2%
방문요양,주야간보호 2
 
6.1%
방문목욕 2
 
6.1%
노인요양시설(개정법) 1
 
3.0%

Length

2023-12-11T01:53:19.455420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:53:19.594818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방문요양 12
36.4%
방문요양,방문목욕 11
33.3%
복지용구제공사업소 5
15.2%
방문요양,주야간보호 2
 
6.1%
방문목욕 2
 
6.1%
노인요양시설(개정법 1
 
3.0%

설립구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
개인
23 
법인
10 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row법인
2nd row법인
3rd row법인
4th row법인
5th row개인

Common Values

ValueCountFrequency (%)
개인 23
69.7%
법인 10
30.3%

Length

2023-12-11T01:53:19.722879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:53:19.812933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 23
69.7%
법인 10
30.3%

기관주소
Text

Distinct31
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T01:53:20.045535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length35
Mean length28.909091
Min length19

Characters and Unicode

Total characters954
Distinct characters77
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)87.9%

Sample

1st row부산광역시 중구 중앙대로132번길 12 (중앙동4가)
2nd row부산광역시 중구 망양로 309 (대청동4가,중구종합사회복지관)
3rd row부산광역시 중구 중구로 97 (대청동4가)
4th row부산광역시 중구 책방골목길 3-1 (보수동1가)
5th row부산광역시 중구 중앙대로49번길 13, 3층 303호 (중앙동2가)
ValueCountFrequency (%)
부산광역시 33
 
17.3%
중구 33
 
17.3%
중구로 5
 
2.6%
대청동4가 5
 
2.6%
1층 5
 
2.6%
영주동 5
 
2.6%
중앙동4가 4
 
2.1%
3층 4
 
2.1%
2층 3
 
1.6%
12 3
 
1.6%
Other values (77) 91
47.6%
2023-12-11T01:53:20.444131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
158
 
16.6%
중 52
 
5.5%
1 43
 
4.5%
구 41
 
4.3%
광 39
 
4.1%
부 36
 
3.8%
동 35
 
3.7%
산 34
 
3.6%
역 33
 
3.5%
시 33
 
3.5%
Other values (67) 450
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 544
57.0%
Decimal Number 164
 
17.2%
Space Separator 158
 
16.6%
Open Punctuation 28
 
2.9%
Close Punctuation 28
 
2.9%
Other Punctuation 25
 
2.6%
Dash Punctuation 5
 
0.5%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 52
 
9.6%
구 41
 
7.5%
광 39
 
7.2%
부 36
 
6.6%
동 35
 
6.4%
산 34
 
6.2%
역 33
 
6.1%
시 33
 
6.1%
로 27
 
5.0%
가 24
 
4.4%
Other values (51) 190
34.9%
Decimal Number
ValueCountFrequency (%)
1 43
26.2%
2 30
18.3%
3 22
13.4%
4 20
12.2%
7 11
 
6.7%
0 9
 
5.5%
8 9
 
5.5%
5 8
 
4.9%
6 7
 
4.3%
9 5
 
3.0%
Space Separator
ValueCountFrequency (%)
158
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 544
57.0%
Common 408
42.8%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 52
 
9.6%
구 41
 
7.5%
광 39
 
7.2%
부 36
 
6.6%
동 35
 
6.4%
산 34
 
6.2%
역 33
 
6.1%
시 33
 
6.1%
로 27
 
5.0%
가 24
 
4.4%
Other values (51) 190
34.9%
Common
ValueCountFrequency (%)
158
38.7%
1 43
 
10.5%
2 30
 
7.4%
( 28
 
6.9%
) 28
 
6.9%
, 25
 
6.1%
3 22
 
5.4%
4 20
 
4.9%
7 11
 
2.7%
0 9
 
2.2%
Other values (5) 34
 
8.3%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 544
57.0%
ASCII 410
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
158
38.5%
1 43
 
10.5%
2 30
 
7.3%
( 28
 
6.8%
) 28
 
6.8%
, 25
 
6.1%
3 22
 
5.4%
4 20
 
4.9%
7 11
 
2.7%
0 9
 
2.2%
Other values (6) 36
 
8.8%
Hangul
ValueCountFrequency (%)
중 52
 
9.6%
구 41
 
7.5%
광 39
 
7.2%
부 36
 
6.6%
동 35
 
6.4%
산 34
 
6.2%
역 33
 
6.1%
시 33
 
6.1%
로 27
 
5.0%
가 24
 
4.4%
Other values (51) 190
34.9%

기관전화번호
Text

Distinct31
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T01:53:20.662051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.030303
Min length12

Characters and Unicode

Total characters397
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

Unique29 ?
Unique (%)87.9%

Sample

1st row051-466-0007
2nd row051-464-3137
3rd row051-464-9880
4th row051-241-2591
5th row051-245-3903
ValueCountFrequency (%)
051-464-9880 2
 
6.1%
051-241-2591 2
 
6.1%
051-245-3051 1
 
3.0%
051-466-0007 1
 
3.0%
051-246-8898 1
 
3.0%
051-469-8950 1
 
3.0%
051-242-5737 1
 
3.0%
051-442-2231 1
 
3.0%
051-442-2505 1
 
3.0%
051-469-9406 1
 
3.0%
Other values (21) 21
63.6%
2023-12-11T01:53:21.011176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 66
16.6%
0 57
14.4%
5 56
14.1%
4 48
12.1%
1 46
11.6%
2 34
8.6%
9 24
 
6.0%
6 21
 
5.3%
7 17
 
4.3%
8 15
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 331
83.4%
Dash Punctuation 66
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 57
17.2%
5 56
16.9%
4 48
14.5%
1 46
13.9%
2 34
10.3%
9 24
7.3%
6 21
 
6.3%
7 17
 
5.1%
8 15
 
4.5%
3 13
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 397
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 66
16.6%
0 57
14.4%
5 56
14.1%
4 48
12.1%
1 46
11.6%
2 34
8.6%
9 24
 
6.0%
6 21
 
5.3%
7 17
 
4.3%
8 15
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 397
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 66
16.6%
0 57
14.4%
5 56
14.1%
4 48
12.1%
1 46
11.6%
2 34
8.6%
9 24
 
6.0%
6 21
 
5.3%
7 17
 
4.3%
8 15
 
3.8%

FAX번호
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T01:53:21.236514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.030303
Min length12

Characters and Unicode

Total characters397
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

Unique31 ?
Unique (%)93.9%

Sample

1st row051-466-7778
2nd row051-468-1544
3rd row051-464-9881
4th row051-241-2593
5th row051-245-3904
ValueCountFrequency (%)
051-241-2593 2
 
6.1%
051-466-7778 1
 
3.0%
051-246-8893 1
 
3.0%
051-469-8951 1
 
3.0%
051-242-5737 1
 
3.0%
051-442-2232 1
 
3.0%
051-442-2506 1
 
3.0%
0504-446-4655 1
 
3.0%
051-911-0721 1
 
3.0%
051-242-5738 1
 
3.0%
Other values (22) 22
66.7%
2023-12-11T01:53:21.556995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 66
16.6%
5 55
13.9%
1 54
13.6%
4 50
12.6%
0 42
10.6%
2 35
8.8%
6 28
7.1%
8 21
 
5.3%
3 17
 
4.3%
7 16
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 331
83.4%
Dash Punctuation 66
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 55
16.6%
1 54
16.3%
4 50
15.1%
0 42
12.7%
2 35
10.6%
6 28
8.5%
8 21
 
6.3%
3 17
 
5.1%
7 16
 
4.8%
9 13
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 397
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 66
16.6%
5 55
13.9%
1 54
13.6%
4 50
12.6%
0 42
10.6%
2 35
8.8%
6 28
7.1%
8 21
 
5.3%
3 17
 
4.3%
7 16
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 397
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 66
16.6%
5 55
13.9%
1 54
13.6%
4 50
12.6%
0 42
10.6%
2 35
8.8%
6 28
7.1%
8 21
 
5.3%
3 17
 
4.3%
7 16
 
4.0%

Correlations

2023-12-11T01:53:21.652596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명기관종류급여종류설립구분기관주소기관전화번호FAX번호
기관명1.0000.0000.4101.0001.0001.0000.992
기관종류0.0001.0000.9930.3250.0000.0000.000
급여종류0.4100.9931.0000.7450.0000.0000.000
설립구분1.0000.3250.7451.0001.0001.0001.000
기관주소1.0000.0000.0001.0001.0001.0001.000
기관전화번호1.0000.0000.0001.0001.0001.0001.000
FAX번호0.9920.0000.0001.0001.0001.0001.000
2023-12-11T01:53:21.776371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급여종류기관종류설립구분
급여종류1.0000.8490.513
기관종류0.8491.0000.513
설립구분0.5130.5131.000
2023-12-11T01:53:21.876696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관종류급여종류설립구분
기관종류1.0000.8490.513
급여종류0.8491.0000.513
설립구분0.5130.5131.000

Missing values

2023-12-11T01:53:18.449965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:53:18.568921image/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

기관명기관종류급여종류설립구분기관주소기관전화번호FAX번호
0송산노인전문요양원시설급여제공 장기요양기관노인요양시설(개정법)법인부산광역시 중구 중앙대로132번길 12 (중앙동4가)051-466-0007051-466-7778
1노틀담노인복지센터재가급여제공 장기요양기관방문요양,주야간보호법인부산광역시 중구 망양로 309 (대청동4가,중구종합사회복지관)051-464-3137051-468-1544
2봉생중구노인복지센터재가급여제공 장기요양기관방문요양법인부산광역시 중구 중구로 97 (대청동4가)051-464-9880051-464-9881
3중구재가노인지원서비스센터재가급여제공 장기요양기관방문요양,주야간보호법인부산광역시 중구 책방골목길 3-1 (보수동1가)051-241-2591051-241-2593
4은성노인복지센터재가장기요양기관방문요양,방문목욕개인부산광역시 중구 중앙대로49번길 13, 3층 303호 (중앙동2가)051-245-3903051-245-3904
5중구노인복지센터재가장기요양기관방문목욕법인부산광역시 중구 책방골목길 3-1 (보수동1가)051-241-2591051-241-2593
6로뎀나무아래요양보호사파견센터재가장기요양기관방문요양,방문목욕개인부산광역시 중구 중앙대로 78, 3층 (중앙동4가)051-253-4555051-256-4555
7늘편한중구재가장기요양기관재가장기요양기관방문요양개인부산광역시 중구 대청로135번길 13 (중앙동4가)051-466-9400051-466-9401
8누리재가복지센터 중구지점재가장기요양기관방문요양,방문목욕법인부산광역시 중구 중구로 138-8, 3층 (동광동5가)051-938-4512051-938-4512
9부산실버재가노인복지센터재가장기요양기관방문요양,방문목욕개인부산광역시 중구 임소길 23, 지1호 (영주동, 정원빌라)051-467-7244051-467-7243
기관명기관종류급여종류설립구분기관주소기관전화번호FAX번호
23성우의료기상사재가장기요양기관복지용구제공사업소개인부산광역시 중구 보수대로 28 (부평동2가,1층)051-246-3457051-241-3124
24예손은노인복지요양센터재가장기요양기관방문요양개인부산광역시 중구 대영로 225 (영주동,2층)070-7553-7794051-797-8036
25자애재가노인복지센터재가장기요양기관방문요양,방문목욕개인부산광역시 중구 보수대로124번길 58, 2층051-242-5739051-242-5738
26동행재가노인복지센터재가장기요양기관방문요양,방문목욕개인부산광역시 중구 동광길 66, 103호 (중앙동4가, 동광맨션)051-908-0721051-911-0721
27온맘재가복지센터재가장기요양기관방문요양개인부산광역시 중구 초량중로6번길 12 (영주동)051-469-94060504-446-4655
28정민복지재가센터재가장기요양기관방문요양,방문목욕개인부산광역시 중구 초량상로 12, 1층 (영주동)051-442-2505051-442-2506
29한마음노인재가복지센터재가장기요양기관방문요양개인부산광역시 중구 중구로91번길 4, 1층 (대청동4가)051-442-2231051-442-2232
30신자애노인복지센터재가장기요양기관방문요양개인부산광역시 중구 보수대로124번길 15, 2층 201호 (보수동2가)051-242-5737051-242-5737
31나눔재가복지센터재가장기요양기관방문요양개인부산광역시 중구 대영로 235, 7층 701호 (영주동, 제일빌딩)051-469-8950051-469-8951
32밝은재가노인복지센터재가장기요양기관방문요양개인부산광역시 중구 중구로 72, 3층 (대청동4가)051-466-7298051-466-7298