Overview

Dataset statistics

Number of variables6
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory52.7 B

Variable types

Text3
Categorical3

Dataset

Description노인장기요양서비스제공 인력인 요양보호사의 양성을 위한 대전광역시 요양보호사 교육기관 현황 요양보호사교육기관 지정현황 : 동구 5, 중구 6, 서구 10, 유성구 3, 대덕구 4
URLhttps://www.data.go.kr/data/15080714/fileData.do

Alerts

대상 has constant value ""Constant
운영시간 has constant value ""Constant
운영요일 has constant value ""Constant
소재지도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:03:10.729287
Analysis finished2023-12-12 02:03:11.181330
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-12T11:03:11.342902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length10
Mean length11.714286
Min length10

Characters and Unicode

Total characters328
Distinct characters78
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)92.9%

Sample

1st row미래요양보호사교육원
2nd row신탄진성모요양보호사교육원
3rd row실버 요양보호사교육원
4th row국제요양보호사교육원
5th row그린요양보호사교육원
ValueCountFrequency (%)
유성요양보호사교육원 2
 
6.5%
신탄진성모요양보호사교육원 1
 
3.2%
연세요양보호사교육원 1
 
3.2%
대동요양보호사교육원 1
 
3.2%
부설 1
 
3.2%
사)도시생명네트워크 1
 
3.2%
가수원요양보호사교육원 1
 
3.2%
글꽃요양보호사교육원 1
 
3.2%
예닮요양보호사교육원 1
 
3.2%
새봄요양보호사교육원 1
 
3.2%
Other values (20) 20
64.5%
2023-12-12T11:03:11.755424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30
 
9.1%
29
 
8.8%
29
 
8.8%
28
 
8.5%
28
 
8.5%
28
 
8.5%
28
 
8.5%
28
 
8.5%
5
 
1.5%
5
 
1.5%
Other values (68) 90
27.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 322
98.2%
Space Separator 4
 
1.2%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
30
 
9.3%
29
 
9.0%
29
 
9.0%
28
 
8.7%
28
 
8.7%
28
 
8.7%
28
 
8.7%
28
 
8.7%
5
 
1.6%
5
 
1.6%
Other values (65) 84
26.1%
Space Separator
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 322
98.2%
Common 6
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
30
 
9.3%
29
 
9.0%
29
 
9.0%
28
 
8.7%
28
 
8.7%
28
 
8.7%
28
 
8.7%
28
 
8.7%
5
 
1.6%
5
 
1.6%
Other values (65) 84
26.1%
Common
ValueCountFrequency (%)
4
66.7%
( 1
 
16.7%
) 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 322
98.2%
ASCII 6
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
30
 
9.3%
29
 
9.0%
29
 
9.0%
28
 
8.7%
28
 
8.7%
28
 
8.7%
28
 
8.7%
28
 
8.7%
5
 
1.6%
5
 
1.6%
Other values (65) 84
26.1%
ASCII
ValueCountFrequency (%)
4
66.7%
( 1
 
16.7%
) 1
 
16.7%
Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-12T11:03:12.025145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length20.535714
Min length14

Characters and Unicode

Total characters575
Distinct characters75
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

Unique28 ?
Unique (%)100.0%

Sample

1st row대전광역시 대덕구 계족산로 2
2nd row대전광역시 대덕구 석봉북로 26
3rd row대전광역시 대덕구 오정로100길 95
4th row대전광역시 동구 대전로 720-4
5th row대전광역시 동구 동대전로 167
ValueCountFrequency (%)
대전광역시 28
22.4%
서구 10
 
8.0%
중구 6
 
4.8%
동구 5
 
4.0%
계룡로 4
 
3.2%
대덕구 4
 
3.2%
유성구 3
 
2.4%
13 2
 
1.6%
계백로 2
 
1.6%
도산로 2
 
1.6%
Other values (58) 59
47.2%
2023-12-12T11:03:12.474251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97
16.9%
39
 
6.8%
30
 
5.2%
28
 
4.9%
28
 
4.9%
28
 
4.9%
28
 
4.9%
27
 
4.7%
1 19
 
3.3%
3 16
 
2.8%
Other values (65) 235
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 349
60.7%
Decimal Number 105
 
18.3%
Space Separator 97
 
16.9%
Open Punctuation 8
 
1.4%
Close Punctuation 8
 
1.4%
Other Punctuation 6
 
1.0%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
39
 
11.2%
30
 
8.6%
28
 
8.0%
28
 
8.0%
28
 
8.0%
28
 
8.0%
27
 
7.7%
16
 
4.6%
14
 
4.0%
8
 
2.3%
Other values (50) 103
29.5%
Decimal Number
ValueCountFrequency (%)
1 19
18.1%
3 16
15.2%
2 12
11.4%
0 12
11.4%
6 11
10.5%
4 10
9.5%
5 7
 
6.7%
7 7
 
6.7%
8 6
 
5.7%
9 5
 
4.8%
Space Separator
ValueCountFrequency (%)
97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 349
60.7%
Common 226
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
39
 
11.2%
30
 
8.6%
28
 
8.0%
28
 
8.0%
28
 
8.0%
28
 
8.0%
27
 
7.7%
16
 
4.6%
14
 
4.0%
8
 
2.3%
Other values (50) 103
29.5%
Common
ValueCountFrequency (%)
97
42.9%
1 19
 
8.4%
3 16
 
7.1%
2 12
 
5.3%
0 12
 
5.3%
6 11
 
4.9%
4 10
 
4.4%
( 8
 
3.5%
) 8
 
3.5%
5 7
 
3.1%
Other values (5) 26
 
11.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 349
60.7%
ASCII 226
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
97
42.9%
1 19
 
8.4%
3 16
 
7.1%
2 12
 
5.3%
0 12
 
5.3%
6 11
 
4.9%
4 10
 
4.4%
( 8
 
3.5%
) 8
 
3.5%
5 7
 
3.1%
Other values (5) 26
 
11.5%
Hangul
ValueCountFrequency (%)
39
 
11.2%
30
 
8.6%
28
 
8.0%
28
 
8.0%
28
 
8.0%
28
 
8.0%
27
 
7.7%
16
 
4.6%
14
 
4.0%
8
 
2.3%
Other values (50) 103
29.5%
Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-12T11:03:12.686865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters336
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

Unique22 ?
Unique (%)78.6%

Sample

1st row042-636-8250
2nd row042-933-6462
3rd row042-628-4002
4th row042-528-1918
5th row042-624-7244
ValueCountFrequency (%)
042-710-2428 2
 
7.1%
042-242-6900 2
 
7.1%
042-544-0975 2
 
7.1%
042-933-6462 1
 
3.6%
042-636-8250 1
 
3.6%
042-483-5030 1
 
3.6%
042-537-3880 1
 
3.6%
042-541-1730 1
 
3.6%
042-485-2594 1
 
3.6%
042-282-7744 1
 
3.6%
Other values (15) 15
53.6%
2023-12-12T11:03:13.046408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 56
16.7%
- 56
16.7%
4 55
16.4%
0 54
16.1%
5 25
7.4%
1 17
 
5.1%
8 17
 
5.1%
3 17
 
5.1%
7 16
 
4.8%
6 15
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 280
83.3%
Dash Punctuation 56
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 56
20.0%
4 55
19.6%
0 54
19.3%
5 25
8.9%
1 17
 
6.1%
8 17
 
6.1%
3 17
 
6.1%
7 16
 
5.7%
6 15
 
5.4%
9 8
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 336
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 56
16.7%
- 56
16.7%
4 55
16.4%
0 54
16.1%
5 25
7.4%
1 17
 
5.1%
8 17
 
5.1%
3 17
 
5.1%
7 16
 
4.8%
6 15
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 56
16.7%
- 56
16.7%
4 55
16.4%
0 54
16.1%
5 25
7.4%
1 17
 
5.1%
8 17
 
5.1%
3 17
 
5.1%
7 16
 
4.8%
6 15
 
4.5%

대상
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
요양보호사 취득 희망자
28 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row요양보호사 취득 희망자
2nd row요양보호사 취득 희망자
3rd row요양보호사 취득 희망자
4th row요양보호사 취득 희망자
5th row요양보호사 취득 희망자

Common Values

ValueCountFrequency (%)
요양보호사 취득 희망자 28
100.0%

Length

2023-12-12T11:03:13.514720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:03:13.630167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
요양보호사 28
33.3%
취득 28
33.3%
희망자 28
33.3%

운영시간
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
09:00~22:00
28 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09:00~22:00
2nd row09:00~22:00
3rd row09:00~22:00
4th row09:00~22:00
5th row09:00~22:00

Common Values

ValueCountFrequency (%)
09:00~22:00 28
100.0%

Length

2023-12-12T11:03:13.747652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:03:13.853425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00~22:00 28
100.0%

운영요일
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
평일 및 토요일
28 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row평일 및 토요일
2nd row평일 및 토요일
3rd row평일 및 토요일
4th row평일 및 토요일
5th row평일 및 토요일

Common Values

ValueCountFrequency (%)
평일 및 토요일 28
100.0%

Length

2023-12-12T11:03:13.949044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:03:14.056166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일 28
33.3%
28
33.3%
토요일 28
33.3%

Correlations

2023-12-12T11:03:14.126029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명소재지도로명주소전화번호
시설명1.0001.0001.000
소재지도로명주소1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2023-12-12T11:03:10.995719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:03:11.138842image/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

시설명소재지도로명주소전화번호대상운영시간운영요일
0미래요양보호사교육원대전광역시 대덕구 계족산로 2042-636-8250요양보호사 취득 희망자09:00~22:00평일 및 토요일
1신탄진성모요양보호사교육원대전광역시 대덕구 석봉북로 26042-933-6462요양보호사 취득 희망자09:00~22:00평일 및 토요일
2실버 요양보호사교육원대전광역시 대덕구 오정로100길 95042-628-4002요양보호사 취득 희망자09:00~22:00평일 및 토요일
3국제요양보호사교육원대전광역시 동구 대전로 720-4042-528-1918요양보호사 취득 희망자09:00~22:00평일 및 토요일
4그린요양보호사교육원대전광역시 동구 동대전로 167042-624-7244요양보호사 취득 희망자09:00~22:00평일 및 토요일
5가톨릭요양보호사교육원대전광역시 동구 동서대로 1629-6042-623-6677요양보호사 취득 희망자09:00~22:00평일 및 토요일
6동대전요양보호사교육원대전광역시 동구 옥천로 140042-271-0401요양보호사 취득 희망자09:00~22:00평일 및 토요일
7대전여성인력개발센터요양보호사교육원대전광역시 서구 계룡로 636042-534-4341요양보호사 취득 희망자09:00~22:00평일 및 토요일
8다온요양보호사교육원대전광역시 서구 관저중로95번길 74042-637-2800요양보호사 취득 희망자09:00~22:00평일 및 토요일
9한결요양보호사교육원대전광역시 서구 대덕대로162번길 23042-528-9230요양보호사 취득 희망자09:00~22:00평일 및 토요일
시설명소재지도로명주소전화번호대상운영시간운영요일
18한빛요양보호사교육원대전광역시 중구 보문로260길 12042-242-6900요양보호사 취득 희망자09:00~22:00평일 및 토요일
19남대전요양보호사교육원대전광역시 중구 충무로 4042-282-7744요양보호사 취득 희망자09:00~22:00평일 및 토요일
20새봄요양보호사교육원대전광역시 서구 괴정로 134번길 44(가장동)042-710-2428요양보호사 취득 희망자09:00~22:00평일 및 토요일
21예닮요양보호사교육원대전광역시 대덕구 비래서로 43, 3층(비래동)042-242-6900요양보호사 취득 희망자09:00~22:00평일 및 토요일
22글꽃요양보호사교육원대전광역시 서구 월평로 65,7층 701호(월평동)042-485-2594요양보호사 취득 희망자09:00~22:00평일 및 토요일
23가수원요양보호사교육원대전광역시 서구 계백로 1145, 좋은빌딩 5층 501호(도안동)042-541-1730요양보호사 취득 희망자09:00~22:00평일 및 토요일
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