Overview

Dataset statistics

Number of variables6
Number of observations51
Missing cells1
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory51.6 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description부산광역시_요양보호사교육기관운영현황(2019)
Author부산광역시
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3076436

Alerts

연번 is highly overall correlated with 구군명High correlation
구군명 is highly overall correlated with 연번High correlation
지정번호 has 1 (2.0%) missing valuesMissing
연번 has unique valuesUnique
교육기관명 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:47:56.475562
Analysis finished2023-12-10 16:47:57.129685
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T01:47:57.205020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.5
Q113.5
median26
Q338.5
95-th percentile48.5
Maximum51
Range50
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.866069
Coefficient of variation (CV)0.57177187
Kurtosis-1.2
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum1326
Variance221
MonotonicityStrictly increasing
2023-12-11T01:47:57.372132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
2 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
51 1
2.0%
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%

구군명
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)31.4%
Missing0
Missing (%)0.0%
Memory size540.0 B
부산진구
8 
북구
6 
사하구
5 
동래구
4 
남구
4 
Other values (11)
24 

Length

Max length4
Median length3
Mean length2.9215686
Min length2

Unique

Unique4 ?
Unique (%)7.8%

Sample

1st row해운대구
2nd row해운대구
3rd row해운대구
4th row중구
5th row중구

Common Values

ValueCountFrequency (%)
부산진구 8
15.7%
북구 6
11.8%
사하구 5
9.8%
동래구 4
7.8%
남구 4
7.8%
해운대구 3
 
5.9%
연제구 3
 
5.9%
사상구 3
 
5.9%
동구 3
 
5.9%
기장군 3
 
5.9%
Other values (6) 9
17.6%

Length

2023-12-11T01:47:57.549705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부산진구 8
15.7%
북구 6
11.8%
사하구 5
9.8%
동래구 4
7.8%
남구 4
7.8%
금정구 4
7.8%
해운대구 3
 
5.9%
연제구 3
 
5.9%
사상구 3
 
5.9%
동구 3
 
5.9%
Other values (5) 8
15.7%

교육기관명
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-11T01:47:57.794781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length12.137255
Min length10

Characters and Unicode

Total characters619
Distinct characters101
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)100.0%

Sample

1st row보성 요양보호사교육원
2nd row부산 해운대 요양보호사교육원
3rd row참사랑 요양보호사교육원
4th row로뎀나무아래 요양보호사교육원
5th row성산 요양보호사교육원
ValueCountFrequency (%)
요양보호사교육원 43
43.9%
보성 1
 
1.0%
엘림평생 1
 
1.0%
하나 1
 
1.0%
bhs좋은요야오호사교육원 1
 
1.0%
당감 1
 
1.0%
가족사랑 1
 
1.0%
누리요양보호사교육원 1
 
1.0%
서면삼성실버 1
 
1.0%
한국 1
 
1.0%
Other values (46) 46
46.9%
2023-12-11T01:47:58.169077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 56
 
9.0%
교 53
 
8.6%
보 52
 
8.4%
육 52
 
8.4%
요 51
 
8.2%
원 51
 
8.2%
양 50
 
8.1%
호 50
 
8.1%
47
 
7.6%
부 8
 
1.3%
Other values (91) 149
24.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 569
91.9%
Space Separator 47
 
7.6%
Uppercase Letter 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 56
 
9.8%
교 53
 
9.3%
보 52
 
9.1%
육 52
 
9.1%
요 51
 
9.0%
원 51
 
9.0%
양 50
 
8.8%
호 50
 
8.8%
부 8
 
1.4%
성 6
 
1.1%
Other values (87) 140
24.6%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
H 1
33.3%
S 1
33.3%
Space Separator
ValueCountFrequency (%)
47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 569
91.9%
Common 47
 
7.6%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 56
 
9.8%
교 53
 
9.3%
보 52
 
9.1%
육 52
 
9.1%
요 51
 
9.0%
원 51
 
9.0%
양 50
 
8.8%
호 50
 
8.8%
부 8
 
1.4%
성 6
 
1.1%
Other values (87) 140
24.6%
Latin
ValueCountFrequency (%)
B 1
33.3%
H 1
33.3%
S 1
33.3%
Common
ValueCountFrequency (%)
47
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 569
91.9%
ASCII 50
 
8.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 56
 
9.8%
교 53
 
9.3%
보 52
 
9.1%
육 52
 
9.1%
요 51
 
9.0%
원 51
 
9.0%
양 50
 
8.8%
호 50
 
8.8%
부 8
 
1.4%
성 6
 
1.1%
Other values (87) 140
24.6%
ASCII
ValueCountFrequency (%)
47
94.0%
B 1
 
2.0%
H 1
 
2.0%
S 1
 
2.0%

지정번호
Text

MISSING 

Distinct50
Distinct (%)100.0%
Missing1
Missing (%)2.0%
Memory size540.0 B
2023-12-11T01:47:58.404974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length4
Mean length6.02
Min length4

Characters and Unicode

Total characters301
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st row제08호
2nd row제45호
3rd row제2015-04호
4th row제67호
5th row제93호
ValueCountFrequency (%)
제08호 1
 
2.0%
제03호 1
 
2.0%
2017-제03호 1
 
2.0%
제75호 1
 
2.0%
제2014-03호 1
 
2.0%
제2014-08호 1
 
2.0%
제2016-02호 1
 
2.0%
제25호 1
 
2.0%
제39호 1
 
2.0%
제73호 1
 
2.0%
Other values (40) 40
80.0%
2023-12-11T01:47:58.758296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 51
16.9%
호 50
16.6%
0 47
15.6%
2 29
9.6%
1 27
9.0%
- 20
 
6.6%
4 17
 
5.6%
6 17
 
5.6%
5 13
 
4.3%
3 10
 
3.3%
Other values (3) 20
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 180
59.8%
Other Letter 101
33.6%
Dash Punctuation 20
 
6.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 47
26.1%
2 29
16.1%
1 27
15.0%
4 17
 
9.4%
6 17
 
9.4%
5 13
 
7.2%
3 10
 
5.6%
7 9
 
5.0%
9 6
 
3.3%
8 5
 
2.8%
Other Letter
ValueCountFrequency (%)
제 51
50.5%
호 50
49.5%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 200
66.4%
Hangul 101
33.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 47
23.5%
2 29
14.5%
1 27
13.5%
- 20
10.0%
4 17
 
8.5%
6 17
 
8.5%
5 13
 
6.5%
3 10
 
5.0%
7 9
 
4.5%
9 6
 
3.0%
Hangul
ValueCountFrequency (%)
제 51
50.5%
호 50
49.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 200
66.4%
Hangul 101
33.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 51
50.5%
호 50
49.5%
ASCII
ValueCountFrequency (%)
0 47
23.5%
2 29
14.5%
1 27
13.5%
- 20
10.0%
4 17
 
8.5%
6 17
 
8.5%
5 13
 
6.5%
3 10
 
5.0%
7 9
 
4.5%
9 6
 
3.0%

주소
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-11T01:47:59.054256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length29.921569
Min length18

Characters and Unicode

Total characters1526
Distinct characters156
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

Unique51 ?
Unique (%)100.0%

Sample

1st row부산광역시 해운대구 세실로 87, 7층 (좌동, 영진파스타)
2nd row부산광역시 해운대구 재반로 103번길 14 (재송동)
3rd row부산광역시 해운대구 반송로 892번길 8 2층(반송동 298-1)
4th row부산광역시 중구 중앙대로 78, 3층 (중앙동4가,삼창빌딩)
5th row부산광역시 중구 대청로 63-1 보수동책방골목 이디야5층 (보수동1가)
ValueCountFrequency (%)
부산광역시 51
 
16.8%
3층 10
 
3.3%
부산진구 8
 
2.6%
2층 6
 
2.0%
북구 6
 
2.0%
사하구 5
 
1.6%
중앙대로 5
 
1.6%
동래구 4
 
1.3%
금정구 4
 
1.3%
남구 4
 
1.3%
Other values (172) 201
66.1%
2023-12-11T01:47:59.500860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
259
 
17.0%
부 65
 
4.3%
산 60
 
3.9%
시 55
 
3.6%
광 53
 
3.5%
동 53
 
3.5%
, 52
 
3.4%
역 51
 
3.3%
구 51
 
3.3%
로 48
 
3.1%
Other values (146) 779
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 906
59.4%
Space Separator 259
 
17.0%
Decimal Number 215
 
14.1%
Other Punctuation 52
 
3.4%
Close Punctuation 45
 
2.9%
Open Punctuation 45
 
2.9%
Dash Punctuation 3
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 65
 
7.2%
산 60
 
6.6%
시 55
 
6.1%
광 53
 
5.8%
동 53
 
5.8%
역 51
 
5.6%
구 51
 
5.6%
로 48
 
5.3%
층 42
 
4.6%
대 27
 
3.0%
Other values (130) 401
44.3%
Decimal Number
ValueCountFrequency (%)
1 38
17.7%
2 37
17.2%
3 30
14.0%
4 19
8.8%
7 18
8.4%
0 18
8.4%
5 16
7.4%
8 15
 
7.0%
9 14
 
6.5%
6 10
 
4.7%
Space Separator
ValueCountFrequency (%)
259
100.0%
Other Punctuation
ValueCountFrequency (%)
, 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 906
59.4%
Common 620
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 65
 
7.2%
산 60
 
6.6%
시 55
 
6.1%
광 53
 
5.8%
동 53
 
5.8%
역 51
 
5.6%
구 51
 
5.6%
로 48
 
5.3%
층 42
 
4.6%
대 27
 
3.0%
Other values (130) 401
44.3%
Common
ValueCountFrequency (%)
259
41.8%
, 52
 
8.4%
) 45
 
7.3%
( 45
 
7.3%
1 38
 
6.1%
2 37
 
6.0%
3 30
 
4.8%
4 19
 
3.1%
7 18
 
2.9%
0 18
 
2.9%
Other values (6) 59
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 906
59.4%
ASCII 620
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
259
41.8%
, 52
 
8.4%
) 45
 
7.3%
( 45
 
7.3%
1 38
 
6.1%
2 37
 
6.0%
3 30
 
4.8%
4 19
 
3.1%
7 18
 
2.9%
0 18
 
2.9%
Other values (6) 59
 
9.5%
Hangul
ValueCountFrequency (%)
부 65
 
7.2%
산 60
 
6.6%
시 55
 
6.1%
광 53
 
5.8%
동 53
 
5.8%
역 51
 
5.6%
구 51
 
5.6%
로 48
 
5.3%
층 42
 
4.6%
대 27
 
3.0%
Other values (130) 401
44.3%

전화번호
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-11T01:47:59.795510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.019608
Min length12

Characters and Unicode

Total characters613
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

Unique51 ?
Unique (%)100.0%

Sample

1st row051-731-7012
2nd row051-523-5339
3rd row051-544-7736
4th row051-241-4555
5th row051-247-7250
ValueCountFrequency (%)
051-731-7012 1
 
2.0%
051-818-1004 1
 
2.0%
051-637-2992 1
 
2.0%
051-892-4808 1
 
2.0%
051-897-8231 1
 
2.0%
051-637-0117 1
 
2.0%
051-913-2450 1
 
2.0%
051-527-2311 1
 
2.0%
051-531-9018 1
 
2.0%
051-524-5243 1
 
2.0%
Other values (41) 41
80.4%
2023-12-11T01:48:00.305939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 102
16.6%
1 93
15.2%
0 92
15.0%
5 82
13.4%
3 53
8.6%
2 48
7.8%
6 36
 
5.9%
8 29
 
4.7%
7 27
 
4.4%
9 26
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 511
83.4%
Dash Punctuation 102
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 93
18.2%
0 92
18.0%
5 82
16.0%
3 53
10.4%
2 48
9.4%
6 36
 
7.0%
8 29
 
5.7%
7 27
 
5.3%
9 26
 
5.1%
4 25
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 613
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 102
16.6%
1 93
15.2%
0 92
15.0%
5 82
13.4%
3 53
8.6%
2 48
7.8%
6 36
 
5.9%
8 29
 
4.7%
7 27
 
4.4%
9 26
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 613
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 102
16.6%
1 93
15.2%
0 92
15.0%
5 82
13.4%
3 53
8.6%
2 48
7.8%
6 36
 
5.9%
8 29
 
4.7%
7 27
 
4.4%
9 26
 
4.2%

Interactions

2023-12-11T01:47:56.838877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:48:00.507910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구군명교육기관명지정번호주소전화번호
연번1.0000.9571.0001.0001.0001.000
구군명0.9571.0001.0001.0001.0001.000
교육기관명1.0001.0001.0001.0001.0001.000
지정번호1.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
2023-12-11T01:48:00.714086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구군명
연번1.0000.741
구군명0.7411.000

Missing values

2023-12-11T01:47:56.969146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:47:57.083848image/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

연번구군명교육기관명지정번호주소전화번호
01해운대구보성 요양보호사교육원제08호부산광역시 해운대구 세실로 87, 7층 (좌동, 영진파스타)051-731-7012
12해운대구부산 해운대 요양보호사교육원제45호부산광역시 해운대구 재반로 103번길 14 (재송동)051-523-5339
23해운대구참사랑 요양보호사교육원제2015-04호부산광역시 해운대구 반송로 892번길 8 2층(반송동 298-1)051-544-7736
34중구로뎀나무아래 요양보호사교육원제67호부산광역시 중구 중앙대로 78, 3층 (중앙동4가,삼창빌딩)051-241-4555
45중구성산 요양보호사교육원제93호부산광역시 중구 대청로 63-1 보수동책방골목 이디야5층 (보수동1가)051-247-7250
56영도구은혜 요양보호사교육원제80호부산광역시 영도구 절영로 7번길 70, 4층 (봉래동3가)051-413-0675
67연제구부산돌봄 요양보호사교육원제05호부산광역시 연제구 거제천로 89, 6층 (거제동, 이안빌딩)051-852-0540
78연제구참빛 요양보호사교육원제07호부산광역시 연제구 안연로 1, 2층 (연산동)051-751-3663
89연제구셀리번 요양보호사교육원제49호부산광역시 연제구 중앙대로 1204호(뉴그랜드오피스텔)051-866-0008
910수영구안심생활요양보호사교육원제2014-06호부산광역시 수영구 광남로35, 3층(남천동)051-621-8211
연번구군명교육기관명지정번호주소전화번호
4142남구새참빛 요양보호사교육원제65호부산광역시 남구 유엔평화로 14번길 5, 3층 (대연동,관호빌딩)051-623-0698
4243남구반석 요양보호사교육원제85호부산광역시 남구 용호로 222 , 2~3층 (용호동)051-621-1488
4344남구참좋은 요양보호사교육원제2016-09호부산광역시 남구 수영로 193, 3층 (대연동)051-637-5350
4445기장군평생비젼교육센터 요양보호사교육원제06호부산광역시 기장군 정관읍 정관로 698, 8층 3호051-724-5651
4546기장군엘림요양보호사교육원제2014-02호부산광역시 기장군 정관면 용수1길 28051-727-6391
4647기장군소망 요양보호사교육원제2015-06호부산광역시 기장군 기장읍 차성로 265(3층)051-944-4050
4748금정구금강 요양보호사교육원제41호부산광역시 금정구 중앙대로 1949, 2층(구서동)051-513-9066
4849금정구부곡 요양보호사교육원제26호부산광역시 금정구 오시게로 54번길 27, 201호 (부곡동, 태안에버빌)051-514-2028
4950금정구금정요양보호사교육원제2014-07호부산광역시 금정구 부곡로141번길 1, 201호(부곡동, 한창빌딩)051-581-6999
5051금정구새고려 요양보호사교육원제2016-04호부산광역시 금정구 중앙대로 1719-23, 501호 (부곡동,우남빌딩)5층051-582-9191