Overview

Dataset statistics

Number of variables8
Number of observations54
Missing cells54
Missing cells (%)12.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 KiB
Average record size in memory70.4 B

Variable types

Numeric3
Text3
DateTime1
Unsupported1

Dataset

Description부산광역시_노인요양보호사교육기관현황_20230608
Author부산광역시
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3076436

Alerts

데이터기준일자 has constant value ""Constant
Unnamed: 7 has 54 (100.0%) missing valuesMissing
연번 has unique valuesUnique
교육기관명 has unique valuesUnique
소재지 has unique valuesUnique
전화번호 has unique valuesUnique
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 16:48:02.095531
Analysis finished2023-12-10 16:48:03.680882
Duration1.59 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.5
Minimum1
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-11T01:48:03.764282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.65
Q114.25
median27.5
Q340.75
95-th percentile51.35
Maximum54
Range53
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation15.732133
Coefficient of variation (CV)0.57207755
Kurtosis-1.2
Mean27.5
Median Absolute Deviation (MAD)13.5
Skewness0
Sum1485
Variance247.5
MonotonicityStrictly increasing
2023-12-11T01:48:04.209413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
42 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
38 1
 
1.9%
Other values (44) 44
81.5%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
54 1
1.9%
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%

교육기관명
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-11T01:48:04.457752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length11
Mean length11.981481
Min length10

Characters and Unicode

Total characters647
Distinct characters96
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)100.0%

Sample

1st row정암 요양보호사교육원
2nd row천사 요양보사교육원
3rd row부산돌봄 요양보호사교육원
4th row평생비젼 요양보호사교육원
5th row참빛 요양보호사교육원
ValueCountFrequency (%)
요양보호사교육원 52
48.1%
경남정보대학교부설 1
 
0.9%
가족사랑 1
 
0.9%
가나 1
 
0.9%
엘림평생 1
 
0.9%
안심생활 1
 
0.9%
금정 1
 
0.9%
은빛 1
 
0.9%
참사랑 1
 
0.9%
소망 1
 
0.9%
Other values (47) 47
43.5%
2023-12-11T01:48:04.868919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 58
9.0%
56
 
8.7%
보 56
 
8.7%
양 55
 
8.5%
교 55
 
8.5%
원 55
 
8.5%
육 54
 
8.3%
요 53
 
8.2%
호 53
 
8.2%
부 8
 
1.2%
Other values (86) 144
22.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 586
90.6%
Space Separator 56
 
8.7%
Uppercase Letter 3
 
0.5%
Other Symbol 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 58
9.9%
보 56
9.6%
양 55
9.4%
교 55
9.4%
원 55
9.4%
육 54
9.2%
요 53
 
9.0%
호 53
 
9.0%
부 8
 
1.4%
나 5
 
0.9%
Other values (81) 134
22.9%
Uppercase Letter
ValueCountFrequency (%)
H 1
33.3%
B 1
33.3%
S 1
33.3%
Space Separator
ValueCountFrequency (%)
56
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 588
90.9%
Common 56
 
8.7%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 58
9.9%
보 56
9.5%
양 55
9.4%
교 55
9.4%
원 55
9.4%
육 54
 
9.2%
요 53
 
9.0%
호 53
 
9.0%
부 8
 
1.4%
나 5
 
0.9%
Other values (82) 136
23.1%
Latin
ValueCountFrequency (%)
H 1
33.3%
B 1
33.3%
S 1
33.3%
Common
ValueCountFrequency (%)
56
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 586
90.6%
ASCII 59
 
9.1%
None 2
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 58
9.9%
보 56
9.6%
양 55
9.4%
교 55
9.4%
원 55
9.4%
육 54
9.2%
요 53
 
9.0%
호 53
 
9.0%
부 8
 
1.4%
나 5
 
0.9%
Other values (81) 134
22.9%
ASCII
ValueCountFrequency (%)
56
94.9%
H 1
 
1.7%
B 1
 
1.7%
S 1
 
1.7%
None
ValueCountFrequency (%)
㈜ 2
100.0%

소재지
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-11T01:48:05.173440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length37.5
Mean length31.574074
Min length21

Characters and Unicode

Total characters1705
Distinct characters154
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)100.0%

Sample

1st row부산광역시 부산진구 동평로405번길 97, 2층(양정동)
2nd row부산광역시 부산진구 새싹로 29, 2층(부전동, 한성빌딩)
3rd row부산광역시 연제구 거제천로 89, 6층(거제동, 이안빌딩)
4th row부산광역시 기장군 장안읍 정관로 716, 3층(부영빌딩)
5th row부산광역시 연제구 안연로 1, 2층(연산동)
ValueCountFrequency (%)
부산광역시 54
 
17.2%
부산진구 7
 
2.2%
중앙대로 6
 
1.9%
남구 5
 
1.6%
사하구 5
 
1.6%
북구 5
 
1.6%
금정구 4
 
1.3%
동래구 4
 
1.3%
3층 4
 
1.3%
해운대구 4
 
1.3%
Other values (186) 216
68.8%
2023-12-11T01:48:05.727339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
264
 
15.5%
, 71
 
4.2%
부 68
 
4.0%
산 63
 
3.7%
동 62
 
3.6%
시 60
 
3.5%
구 57
 
3.3%
광 56
 
3.3%
역 54
 
3.2%
2 54
 
3.2%
Other values (144) 896
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 995
58.4%
Space Separator 264
 
15.5%
Decimal Number 262
 
15.4%
Other Punctuation 71
 
4.2%
Close Punctuation 52
 
3.0%
Open Punctuation 52
 
3.0%
Math Symbol 5
 
0.3%
Dash Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 68
 
6.8%
산 63
 
6.3%
동 62
 
6.2%
시 60
 
6.0%
구 57
 
5.7%
광 56
 
5.6%
역 54
 
5.4%
로 52
 
5.2%
층 48
 
4.8%
대 31
 
3.1%
Other values (128) 444
44.6%
Decimal Number
ValueCountFrequency (%)
2 54
20.6%
1 48
18.3%
3 40
15.3%
4 27
10.3%
0 21
 
8.0%
7 21
 
8.0%
6 14
 
5.3%
9 13
 
5.0%
8 13
 
5.0%
5 11
 
4.2%
Space Separator
ValueCountFrequency (%)
264
100.0%
Other Punctuation
ValueCountFrequency (%)
, 71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 995
58.4%
Common 710
41.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 68
 
6.8%
산 63
 
6.3%
동 62
 
6.2%
시 60
 
6.0%
구 57
 
5.7%
광 56
 
5.6%
역 54
 
5.4%
로 52
 
5.2%
층 48
 
4.8%
대 31
 
3.1%
Other values (128) 444
44.6%
Common
ValueCountFrequency (%)
264
37.2%
, 71
 
10.0%
2 54
 
7.6%
) 52
 
7.3%
( 52
 
7.3%
1 48
 
6.8%
3 40
 
5.6%
4 27
 
3.8%
0 21
 
3.0%
7 21
 
3.0%
Other values (6) 60
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 995
58.4%
ASCII 710
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
264
37.2%
, 71
 
10.0%
2 54
 
7.6%
) 52
 
7.3%
( 52
 
7.3%
1 48
 
6.8%
3 40
 
5.6%
4 27
 
3.8%
0 21
 
3.0%
7 21
 
3.0%
Other values (6) 60
 
8.5%
Hangul
ValueCountFrequency (%)
부 68
 
6.8%
산 63
 
6.3%
동 62
 
6.2%
시 60
 
6.0%
구 57
 
5.7%
광 56
 
5.6%
역 54
 
5.4%
로 52
 
5.2%
층 48
 
4.8%
대 31
 
3.1%
Other values (128) 444
44.6%

위도
Real number (ℝ)

Distinct53
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.235065
Minimum35.057268
Maximum37.563129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-11T01:48:05.915050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.057268
5-th percentile35.092621
Q135.136158
median35.168025
Q335.208723
95-th percentile35.324328
Maximum37.563129
Range2.5058612
Interquartile range (IQR)0.072564177

Descriptive statistics

Standard deviation0.36363782
Coefficient of variation (CV)0.010320339
Kurtosis34.074977
Mean35.235065
Median Absolute Deviation (MAD)0.03836029
Skewness5.6618805
Sum1902.6935
Variance0.13223246
MonotonicityNot monotonic
2023-12-11T01:48:06.083358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.20925193 2
 
3.7%
35.17771927 1
 
1.9%
35.13515181 1
 
1.9%
35.22840024 1
 
1.9%
35.05726793 1
 
1.9%
35.2307285 1
 
1.9%
35.23756571 1
 
1.9%
35.20563895 1
 
1.9%
35.14695432 1
 
1.9%
35.07932023 1
 
1.9%
Other values (43) 43
79.6%
ValueCountFrequency (%)
35.05726793 1
1.9%
35.07932023 1
1.9%
35.09214473 1
1.9%
35.09287782 1
1.9%
35.09954586 1
1.9%
35.10341367 1
1.9%
35.1034545 1
1.9%
35.10383913 1
1.9%
35.1045563 1
1.9%
35.11247951 1
1.9%
ValueCountFrequency (%)
37.56312908 1
1.9%
36.33162499 1
1.9%
35.32999193 1
1.9%
35.32127807 1
1.9%
35.25835009 1
1.9%
35.23764708 1
1.9%
35.23756571 1
1.9%
35.2307285 1
1.9%
35.22840024 1
1.9%
35.22149086 1
1.9%

경도
Real number (ℝ)

Distinct53
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.00012
Minimum126.98873
Maximum129.21474
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-11T01:48:06.266632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.98873
5-th percentile128.97184
Q1129.00735
median129.06755
Q3129.10095
95-th percentile129.18077
Maximum129.21474
Range2.2260138
Interquartile range (IQR)0.0936001

Descriptive statistics

Standard deviation0.35908441
Coefficient of variation (CV)0.0027835975
Kurtosis24.721819
Mean129.00012
Median Absolute Deviation (MAD)0.0436191
Skewness-4.9537882
Sum6966.0065
Variance0.12894161
MonotonicityNot monotonic
2023-12-11T01:48:06.444742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.003684 2
 
3.7%
129.072186 1
 
1.9%
129.0877568 1
 
1.9%
129.0917589 1
 
1.9%
128.9714519 1
 
1.9%
129.1516945 1
 
1.9%
129.2147435 1
 
1.9%
129.0758261 1
 
1.9%
129.0599624 1
 
1.9%
128.9777117 1
 
1.9%
Other values (43) 43
79.6%
ValueCountFrequency (%)
126.9887297 1
1.9%
127.4635284 1
1.9%
128.9714519 1
1.9%
128.9720488 1
1.9%
128.9777117 1
1.9%
128.9859406 1
1.9%
128.990161 1
1.9%
129.0010671 1
1.9%
129.0032056 1
1.9%
129.003684 2
3.7%
ValueCountFrequency (%)
129.2147435 1
1.9%
129.202987 1
1.9%
129.190899 1
1.9%
129.1753152 1
1.9%
129.1736377 1
1.9%
129.1516945 1
1.9%
129.1251893 1
1.9%
129.1151906 1
1.9%
129.1148229 1
1.9%
129.1110257 1
1.9%

전화번호
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-11T01:48:06.816207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters648
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

Unique54 ?
Unique (%)100.0%

Sample

1st row051-868-3411
2nd row051-818-1004
3rd row051-852-0540
4th row051-724-5652
5th row051-751-3663
ValueCountFrequency (%)
051-868-3411 1
 
1.9%
051-320-2979 1
 
1.9%
051-415-1171 1
 
1.9%
051-463-2288 1
 
1.9%
051-621-8211 1
 
1.9%
051-581-6999 1
 
1.9%
051-266-4950 1
 
1.9%
051-544-7736 1
 
1.9%
051-723-3345 1
 
1.9%
051-914-2460 1
 
1.9%
Other values (44) 44
81.5%
2023-12-11T01:48:07.353736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 108
16.7%
1 97
15.0%
5 95
14.7%
0 91
14.0%
3 53
8.2%
2 53
8.2%
8 35
 
5.4%
6 34
 
5.2%
4 29
 
4.5%
9 28
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 540
83.3%
Dash Punctuation 108
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 97
18.0%
5 95
17.6%
0 91
16.9%
3 53
9.8%
2 53
9.8%
8 35
 
6.5%
6 34
 
6.3%
4 29
 
5.4%
9 28
 
5.2%
7 25
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 648
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 108
16.7%
1 97
15.0%
5 95
14.7%
0 91
14.0%
3 53
8.2%
2 53
8.2%
8 35
 
5.4%
6 34
 
5.2%
4 29
 
4.5%
9 28
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 648
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 108
16.7%
1 97
15.0%
5 95
14.7%
0 91
14.0%
3 53
8.2%
2 53
8.2%
8 35
 
5.4%
6 34
 
5.2%
4 29
 
4.5%
9 28
 
4.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2023-06-08 00:00:00
Maximum2023-06-08 00:00:00
2023-12-11T01:48:07.543862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:48:07.694319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

Interactions

2023-12-11T01:48:03.114343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:48:02.475088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:48:02.798028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:48:03.209500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:48:02.566504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:48:02.934574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:48:03.305871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:48:02.657558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:48:03.030271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:48:07.819811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번교육기관명소재지위도경도전화번호
연번1.0001.0001.0000.1720.1891.000
교육기관명1.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.000
위도0.1721.0001.0001.0000.9791.000
경도0.1891.0001.0000.9791.0001.000
전화번호1.0001.0001.0001.0001.0001.000
2023-12-11T01:48:07.968740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.205-0.053
위도-0.2051.0000.302
경도-0.0530.3021.000

Missing values

2023-12-11T01:48:03.454434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:48:03.611721image/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

연번교육기관명소재지위도경도전화번호데이터기준일자Unnamed: 7
01정암 요양보호사교육원부산광역시 부산진구 동평로405번길 97, 2층(양정동)35.177719129.072186051-868-34112023-06-08<NA>
12천사 요양보사교육원부산광역시 부산진구 새싹로 29, 2층(부전동, 한성빌딩)35.160341129.056723051-818-10042023-06-08<NA>
23부산돌봄 요양보호사교육원부산광역시 연제구 거제천로 89, 6층(거제동, 이안빌딩)35.182273129.073058051-852-05402023-06-08<NA>
34평생비젼 요양보호사교육원부산광역시 기장군 장안읍 정관로 716, 3층(부영빌딩)35.321278129.190899051-724-56522023-06-08<NA>
45참빛 요양보호사교육원부산광역시 연제구 안연로 1, 2층(연산동)35.187927129.10089051-751-36632023-06-08<NA>
56보성 요양보호사교육원부산광역시 해운대구 해운대로 790, 해운대대림아크로텔 3층 314~316호(좌동)35.168423129.175315051-714-26622023-06-08<NA>
67한국실버 요양보호사교육원부산광역시 서구 임시수도기념로 22, 2층(부민동2가)35.103454129.018825051-242-88242023-06-08<NA>
78뉴중앙 요양보호사교육원부산광역시 부산진구 중앙대로 621, 3층(범천동)35.148117129.058946051-633-33232023-06-08<NA>
89한국 요양보호사교육원부산광역시 동래구 반송로 274, 2층(반송동)35.204174129.101351051-527-23112023-06-08<NA>
910부곡 요양보호사교육원부산광역시 금정구 오시게로 54번길 27, 201호(부곡동, 태안에버빌)35.221491129.089294051-514-20282023-06-08<NA>
연번교육기관명소재지위도경도전화번호데이터기준일자Unnamed: 7
4445BHS좋은 요양보호사교육원부산광역시 부산진구 황령대로 9, 유성빌딩 7층(범천동, 유성빌딩)35.147923129.060568051-637-29922023-06-08<NA>
4546㈜동부 요양보호사교육원부산광역시 동래구 미남로 148, 3층(온천동)35.207134129.069827051-531-99882023-06-08<NA>
4647㈜북부산 요양보호사교육원부산광역시 사상구 가야대로 260, 3층(주례동)35.149998129.001067051-311-58582023-06-08<NA>
4748영광 요양보호사교육원부산광역시 수영구 연수로 419, 3층(수영동)35.167824129.114823051-710-78832023-06-08<NA>
4849온정 요양보호사교육원부산광역시 사상구 시상로 163번길 20, 2층(괘법동)35.159731128.985941051-928-05082023-06-08<NA>
4950양지 요양보호사교육원부산광역시 해운대구 송정중앙로 19, 3층(송정동, 코스마아파트)35.183213129.202987051-703-66502023-06-08<NA>
5051남부 요양보호사교육원부산광역시 남구 용소로 13-1, 3층(대연동)35.136087129.10097051-627-23572023-06-08<NA>
5152느티나무 요양보호사교육원부산광역시 수영구 수영로 725번길 67, 4층(수영동)35.168226129.115191051-755-23002023-06-08<NA>
5253가나 요양보호사교육원부산광역시 영도구 태종로 382, 동구빌딩 3층 302호(청학동)35.092878129.065282051-415-11712023-06-08<NA>
5354백세 요양보호사교육원부산광역시 구덕로 328, 4층(동대신동 3가)35.11312129.016412051-242-61152023-06-08<NA>