Overview

Dataset statistics

Number of variables6
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory54.7 B

Variable types

Numeric1
Text4
DateTime1

Dataset

Description광주광역시 소재 요양보호사 교육기관 현황 정보에 대한 데이터입니다. 요양보호사 교육기관명, 소재지도로명주소, 전화번호 등의 항목을 제공합니다.
Author광주광역시
URLhttps://www.data.go.kr/data/3041941/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
교육기관명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:15:36.775672
Analysis finished2023-12-12 12:15:37.331008
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T21:15:37.391513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2023-12-12T21:15:37.533873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

교육기관명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T21:15:37.749026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length10.956522
Min length10

Characters and Unicode

Total characters252
Distinct characters64
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

Unique23 ?
Unique (%)100.0%

Sample

1st row광주여성인력개발센터
2nd row광주전남요양보호사교육원
3rd row나눔요양보호사교육원
4th row실버벨요양보호사교육원
5th row광주사랑요양보호사교육원
ValueCountFrequency (%)
광주여성인력개발센터 1
 
4.3%
두암요양보호사교육원 1
 
4.3%
해피웨이요양보호사교육원 1
 
4.3%
첨단요양보호사교육원 1
 
4.3%
가족사랑광산요양보호사교육원 1
 
4.3%
한우리요양보호사교육원 1
 
4.3%
참빛요양보호사교육원 1
 
4.3%
용봉요양보호사교육원 1
 
4.3%
예은요양보호사교육원 1
 
4.3%
수정빛고을요양보호사교육원 1
 
4.3%
Other values (13) 13
56.5%
2023-12-12T21:15:38.103445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 25
9.9%
호 24
 
9.5%
보 22
 
8.7%
원 22
 
8.7%
육 22
 
8.7%
교 22
 
8.7%
요 22
 
8.7%
양 22
 
8.7%
광 5
 
2.0%
주 4
 
1.6%
Other values (54) 62
24.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 252
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 25
9.9%
호 24
 
9.5%
보 22
 
8.7%
원 22
 
8.7%
육 22
 
8.7%
교 22
 
8.7%
요 22
 
8.7%
양 22
 
8.7%
광 5
 
2.0%
주 4
 
1.6%
Other values (54) 62
24.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 252
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 25
9.9%
호 24
 
9.5%
보 22
 
8.7%
원 22
 
8.7%
육 22
 
8.7%
교 22
 
8.7%
요 22
 
8.7%
양 22
 
8.7%
광 5
 
2.0%
주 4
 
1.6%
Other values (54) 62
24.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 252
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 25
9.9%
호 24
 
9.5%
보 22
 
8.7%
원 22
 
8.7%
육 22
 
8.7%
교 22
 
8.7%
요 22
 
8.7%
양 22
 
8.7%
광 5
 
2.0%
주 4
 
1.6%
Other values (54) 62
24.6%

소재지도로명주소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T21:15:38.339087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length29
Mean length24.695652
Min length20

Characters and Unicode

Total characters568
Distinct characters85
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

Unique23 ?
Unique (%)100.0%

Sample

1st row광주광역시 동구 제봉로221-11(대인동)
2nd row광주광역시 서구 독립로 203(양동)
3rd row광주광역시 동구 구성로 204번길 1-1(대인동)
4th row광주광역시 북구 경열로 230-1(중흥동)
5th row광주광역시 서구 상무대로 981(쌍촌동)
ValueCountFrequency (%)
광주광역시 23
22.3%
북구 8
 
7.8%
서구 5
 
4.9%
남구 4
 
3.9%
광산구 4
 
3.9%
동구 2
 
1.9%
북문대로 2
 
1.9%
삼정로 1
 
1.0%
71 1
 
1.0%
상가동203호(두암동 1
 
1.0%
Other values (52) 52
50.5%
2023-12-12T21:15:38.748605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
81
 
14.3%
광 50
 
8.8%
동 28
 
4.9%
1 26
 
4.6%
구 24
 
4.2%
주 23
 
4.0%
( 23
 
4.0%
) 23
 
4.0%
시 23
 
4.0%
역 23
 
4.0%
Other values (75) 244
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 340
59.9%
Decimal Number 91
 
16.0%
Space Separator 81
 
14.3%
Open Punctuation 23
 
4.0%
Close Punctuation 23
 
4.0%
Dash Punctuation 5
 
0.9%
Other Punctuation 4
 
0.7%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 50
14.7%
동 28
 
8.2%
구 24
 
7.1%
주 23
 
6.8%
시 23
 
6.8%
역 23
 
6.8%
로 22
 
6.5%
북 10
 
2.9%
대 8
 
2.4%
암 7
 
2.1%
Other values (59) 122
35.9%
Decimal Number
ValueCountFrequency (%)
1 26
28.6%
2 16
17.6%
3 10
 
11.0%
7 8
 
8.8%
0 7
 
7.7%
4 6
 
6.6%
5 6
 
6.6%
6 5
 
5.5%
8 4
 
4.4%
9 3
 
3.3%
Space Separator
ValueCountFrequency (%)
81
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 340
59.9%
Common 227
40.0%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 50
14.7%
동 28
 
8.2%
구 24
 
7.1%
주 23
 
6.8%
시 23
 
6.8%
역 23
 
6.8%
로 22
 
6.5%
북 10
 
2.9%
대 8
 
2.4%
암 7
 
2.1%
Other values (59) 122
35.9%
Common
ValueCountFrequency (%)
81
35.7%
1 26
 
11.5%
( 23
 
10.1%
) 23
 
10.1%
2 16
 
7.0%
3 10
 
4.4%
7 8
 
3.5%
0 7
 
3.1%
4 6
 
2.6%
5 6
 
2.6%
Other values (5) 21
 
9.3%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 340
59.9%
ASCII 228
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
81
35.5%
1 26
 
11.4%
( 23
 
10.1%
) 23
 
10.1%
2 16
 
7.0%
3 10
 
4.4%
7 8
 
3.5%
0 7
 
3.1%
4 6
 
2.6%
5 6
 
2.6%
Other values (6) 22
 
9.6%
Hangul
ValueCountFrequency (%)
광 50
14.7%
동 28
 
8.2%
구 24
 
7.1%
주 23
 
6.8%
시 23
 
6.8%
역 23
 
6.8%
로 22
 
6.5%
북 10
 
2.9%
대 8
 
2.4%
암 7
 
2.1%
Other values (59) 122
35.9%

교육원장
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T21:15:38.944744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9565217
Min length2

Characters and Unicode

Total characters68
Distinct characters41
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

Unique21 ?
Unique (%)91.3%

Sample

1st row박정순
2nd row최강일
3rd row김미금
4th row배은숙
5th row박상숙
ValueCountFrequency (%)
김남철 2
 
8.7%
박정순 1
 
4.3%
정다영 1
 
4.3%
김은주 1
 
4.3%
최현주 1
 
4.3%
송형길 1
 
4.3%
강영미 1
 
4.3%
신옥임 1
 
4.3%
강형주 1
 
4.3%
최지호 1
 
4.3%
Other values (12) 12
52.2%
2023-12-12T21:15:39.301718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
박 5
 
7.4%
김 4
 
5.9%
최 4
 
5.9%
강 4
 
5.9%
정 3
 
4.4%
주 3
 
4.4%
미 3
 
4.4%
남 3
 
4.4%
철 2
 
2.9%
은 2
 
2.9%
Other values (31) 35
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
박 5
 
7.4%
김 4
 
5.9%
최 4
 
5.9%
강 4
 
5.9%
정 3
 
4.4%
주 3
 
4.4%
미 3
 
4.4%
남 3
 
4.4%
철 2
 
2.9%
은 2
 
2.9%
Other values (31) 35
51.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
박 5
 
7.4%
김 4
 
5.9%
최 4
 
5.9%
강 4
 
5.9%
정 3
 
4.4%
주 3
 
4.4%
미 3
 
4.4%
남 3
 
4.4%
철 2
 
2.9%
은 2
 
2.9%
Other values (31) 35
51.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
박 5
 
7.4%
김 4
 
5.9%
최 4
 
5.9%
강 4
 
5.9%
정 3
 
4.4%
주 3
 
4.4%
미 3
 
4.4%
남 3
 
4.4%
철 2
 
2.9%
은 2
 
2.9%
Other values (31) 35
51.5%

전화번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T21:15:39.520086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters276
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

Unique23 ?
Unique (%)100.0%

Sample

1st row062-511-0001
2nd row062-222-0102
3rd row062-223-2566
4th row062-261-1047
5th row062-351-0230
ValueCountFrequency (%)
062-511-0001 1
 
4.3%
062-262-8875 1
 
4.3%
062-959-9019 1
 
4.3%
062-974-2977 1
 
4.3%
062-945-7126 1
 
4.3%
062-222-2663 1
 
4.3%
062-511-0675 1
 
4.3%
062-446-0001 1
 
4.3%
062-261-1491 1
 
4.3%
062-527-6778 1
 
4.3%
Other values (13) 13
56.5%
2023-12-12T21:15:39.890799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 54
19.6%
6 46
16.7%
- 46
16.7%
0 41
14.9%
1 21
 
7.6%
7 16
 
5.8%
5 14
 
5.1%
9 12
 
4.3%
3 10
 
3.6%
4 9
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 54
23.5%
6 46
20.0%
0 41
17.8%
1 21
 
9.1%
7 16
 
7.0%
5 14
 
6.1%
9 12
 
5.2%
3 10
 
4.3%
4 9
 
3.9%
8 7
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 54
19.6%
6 46
16.7%
- 46
16.7%
0 41
14.9%
1 21
 
7.6%
7 16
 
5.8%
5 14
 
5.1%
9 12
 
4.3%
3 10
 
3.6%
4 9
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 54
19.6%
6 46
16.7%
- 46
16.7%
0 41
14.9%
1 21
 
7.6%
7 16
 
5.8%
5 14
 
5.1%
9 12
 
4.3%
3 10
 
3.6%
4 9
 
3.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2023-10-17 00:00:00
Maximum2023-10-17 00:00:00
2023-12-12T21:15:40.049269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:40.180499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T21:15:37.043070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:15:40.279658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번교육기관명소재지도로명주소교육원장전화번호
연번1.0001.0001.0000.8911.000
교육기관명1.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.000
교육원장0.8911.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000

Missing values

2023-12-12T21:15:37.157872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:15:37.275335image/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

연번교육기관명소재지도로명주소교육원장전화번호데이터기준일자
01광주여성인력개발센터광주광역시 동구 제봉로221-11(대인동)박정순062-511-00012023-10-17
12광주전남요양보호사교육원광주광역시 서구 독립로 203(양동)최강일062-222-01022023-10-17
23나눔요양보호사교육원광주광역시 동구 구성로 204번길 1-1(대인동)김미금062-223-25662023-10-17
34실버벨요양보호사교육원광주광역시 북구 경열로 230-1(중흥동)배은숙062-261-10472023-10-17
45광주사랑요양보호사교육원광주광역시 서구 상무대로 981(쌍촌동)박상숙062-351-02302023-10-17
56광주삼성요양보호사교육원광주광역시 서구 풍금로 57(금호동)강미062-682-26972023-10-17
67베스트요양보호사교육원광주광역시 서구 운천로 131(쌍촌동, 금호베어스타운2층 A동112호)박명심062-382-19022023-10-17
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89봉선요양보호사교육원광주광역시 남구 봉선1로 47번길 6(봉선동)고남희062-672-22452023-10-17
910진월요양보호사교육원광주광역시 남구 서문대로 652 4층(진월동)박선아062-653-66902023-10-17
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1617용봉요양보호사교육원광주광역시 북구 설죽로 342 3층(오치동)강형주062-446-00012023-10-17
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1819한우리요양보호사교육원광주광역시 북구 동문대로 108(두암동)강영미062-222-26632023-10-17
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2122해피웨이요양보호사교육원광주광역시 광산구 신창로 40(신창동)김은주062-959-90192023-10-17
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