Overview

Dataset statistics

Number of variables7
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory62.7 B

Variable types

Text1
Categorical4
DateTime1
Numeric1

Dataset

Description비영리민간단체 연도별(16~20년) 교육과목 신청내역(역량강화 교육, 사업계획서 작성 방법 등의 항목을 포함하고 있습니다.)
Author행정안전부
URLhttps://www.data.go.kr/data/15049209/fileData.do

Alerts

마감여부 has constant value ""Constant
신청인원 is highly overall correlated with 교육시간 and 1 other fieldsHigh correlation
교육시간 is highly overall correlated with 신청인원 and 1 other fieldsHigh correlation
모집인원 is highly overall correlated with 신청인원 and 1 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 16:57:30.889445
Analysis finished2023-12-12 16:57:31.428474
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

과목
Text

Distinct19
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-13T01:57:31.576164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length14.555556
Min length6

Characters and Unicode

Total characters524
Distinct characters102
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)13.9%

Sample

1st row비영리단체의 윤리/인문학
2nd row비영리단체의 윤리/인문학
3rd row매체홍보전략
4th row매체홍보전략
5th row비영리단체의 모금전략
ValueCountFrequency (%)
6
 
6.2%
비영리단체의 6
 
6.2%
비영리민간단체 5
 
5.2%
역량교육 5
 
5.2%
실무담당자 5
 
5.2%
작성 4
 
4.1%
집행등록 3
 
3.1%
모금전략 3
 
3.1%
선택)비영리민간단체의 3
 
3.1%
최종보고서 2
 
2.1%
Other values (33) 55
56.7%
2023-12-13T01:57:31.909916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
61
 
11.6%
24
 
4.6%
21
 
4.0%
20
 
3.8%
18
 
3.4%
16
 
3.1%
14
 
2.7%
14
 
2.7%
) 13
 
2.5%
( 13
 
2.5%
Other values (92) 310
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 431
82.3%
Space Separator 61
 
11.6%
Close Punctuation 13
 
2.5%
Open Punctuation 13
 
2.5%
Uppercase Letter 4
 
0.8%
Other Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
24
 
5.6%
21
 
4.9%
20
 
4.6%
18
 
4.2%
16
 
3.7%
14
 
3.2%
14
 
3.2%
11
 
2.6%
11
 
2.6%
9
 
2.1%
Other values (84) 273
63.3%
Uppercase Letter
ValueCountFrequency (%)
S 1
25.0%
A 1
25.0%
P 1
25.0%
N 1
25.0%
Space Separator
ValueCountFrequency (%)
61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 431
82.3%
Common 89
 
17.0%
Latin 4
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
24
 
5.6%
21
 
4.9%
20
 
4.6%
18
 
4.2%
16
 
3.7%
14
 
3.2%
14
 
3.2%
11
 
2.6%
11
 
2.6%
9
 
2.1%
Other values (84) 273
63.3%
Common
ValueCountFrequency (%)
61
68.5%
) 13
 
14.6%
( 13
 
14.6%
/ 2
 
2.2%
Latin
ValueCountFrequency (%)
S 1
25.0%
A 1
25.0%
P 1
25.0%
N 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 431
82.3%
ASCII 93
 
17.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
61
65.6%
) 13
 
14.0%
( 13
 
14.0%
/ 2
 
2.2%
S 1
 
1.1%
A 1
 
1.1%
P 1
 
1.1%
N 1
 
1.1%
Hangul
ValueCountFrequency (%)
24
 
5.6%
21
 
4.9%
20
 
4.6%
18
 
4.2%
16
 
3.7%
14
 
3.2%
14
 
3.2%
11
 
2.6%
11
 
2.6%
9
 
2.1%
Other values (84) 273
63.3%

차수
Categorical

Distinct5
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
1
19 
2
14 
3
 
1
4
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique3 ?
Unique (%)8.3%

Sample

1st row1
2nd row2
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
1 19
52.8%
2 14
38.9%
3 1
 
2.8%
4 1
 
2.8%
5 1
 
2.8%

Length

2023-12-13T01:57:32.031238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:57:32.175580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 19
52.8%
2 14
38.9%
3 1
 
2.8%
4 1
 
2.8%
5 1
 
2.8%
Distinct18
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum2016-06-28 00:00:00
Maximum2020-12-08 00:00:00
2023-12-13T01:57:32.296852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:57:32.396248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

교육시간
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
09:00~13:00
14:00~18:00
13:00~18:00
13:00~16:00
16:00~18:00
Other values (4)

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique1 ?
Unique (%)2.8%

Sample

1st row09:00~13:00
2nd row09:00~13:00
3rd row14:00~18:00
4th row14:00~18:00
5th row09:00~13:00

Common Values

ValueCountFrequency (%)
09:00~13:00 8
22.2%
14:00~18:00 8
22.2%
13:00~18:00 5
13.9%
13:00~16:00 4
11.1%
16:00~18:00 4
11.1%
13:00~15:00 2
 
5.6%
15:00~17:00 2
 
5.6%
09:00~17:00 2
 
5.6%
14:00~16:00 1
 
2.8%

Length

2023-12-13T01:57:32.514770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:57:32.628035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00~13:00 8
22.2%
14:00~18:00 8
22.2%
13:00~18:00 5
13.9%
13:00~16:00 4
11.1%
16:00~18:00 4
11.1%
13:00~15:00 2
 
5.6%
15:00~17:00 2
 
5.6%
09:00~17:00 2
 
5.6%
14:00~16:00 1
 
2.8%

모집인원
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
60
16 
150
10 
50
120
130
 
1

Length

Max length3
Median length2
Mean length2.4166667
Min length2

Unique

Unique1 ?
Unique (%)2.8%

Sample

1st row60
2nd row60
3rd row60
4th row60
5th row60

Common Values

ValueCountFrequency (%)
60 16
44.4%
150 10
27.8%
50 5
 
13.9%
120 4
 
11.1%
130 1
 
2.8%

Length

2023-12-13T01:57:32.745674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:57:32.861415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60 16
44.4%
150 10
27.8%
50 5
 
13.9%
120 4
 
11.1%
130 1
 
2.8%

신청인원
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.138889
Minimum27
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-13T01:57:32.987554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile42.25
Q154.5
median59.5
Q382.75
95-th percentile115.75
Maximum150
Range123
Interquartile range (IQR)28.25

Descriptive statistics

Standard deviation26.339707
Coefficient of variation (CV)0.38655909
Kurtosis1.8532417
Mean68.138889
Median Absolute Deviation (MAD)8
Skewness1.3636966
Sum2453
Variance693.78016
MonotonicityNot monotonic
2023-12-13T01:57:33.111914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
60 8
22.2%
50 5
13.9%
59 3
 
8.3%
57 2
 
5.6%
58 2
 
5.6%
95 2
 
5.6%
55 1
 
2.8%
130 1
 
2.8%
150 1
 
2.8%
88 1
 
2.8%
Other values (10) 10
27.8%
ValueCountFrequency (%)
27 1
 
2.8%
31 1
 
2.8%
46 1
 
2.8%
50 5
13.9%
53 1
 
2.8%
55 1
 
2.8%
56 1
 
2.8%
57 2
 
5.6%
58 2
 
5.6%
59 3
8.3%
ValueCountFrequency (%)
150 1
 
2.8%
130 1
 
2.8%
111 1
 
2.8%
101 1
 
2.8%
99 1
 
2.8%
98 1
 
2.8%
95 2
 
5.6%
88 1
 
2.8%
81 1
 
2.8%
60 8
22.2%

마감여부
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
마감
36 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row마감
2nd row마감
3rd row마감
4th row마감
5th row마감

Common Values

ValueCountFrequency (%)
마감 36
100.0%

Length

2023-12-13T01:57:33.226224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:57:33.331047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
마감 36
100.0%

Interactions

2023-12-13T01:57:31.174252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:57:33.392228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과목차수교육일시교육시간모집인원신청인원
과목1.0000.0000.8321.0000.9560.848
차수0.0001.0000.0000.0000.5960.000
교육일시0.8320.0001.0000.8961.0000.927
교육시간1.0000.0000.8961.0000.9530.867
모집인원0.9560.5961.0000.9531.0000.895
신청인원0.8480.0000.9270.8670.8951.000
2023-12-13T01:57:33.487423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
모집인원교육시간차수
모집인원1.0000.8460.252
교육시간0.8461.0000.000
차수0.2520.0001.000
2023-12-13T01:57:33.590245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신청인원차수교육시간모집인원
신청인원1.0000.0000.6480.777
차수0.0001.0000.0000.252
교육시간0.6480.0001.0000.846
모집인원0.7770.2520.8461.000

Missing values

2023-12-13T01:57:31.276505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:57:31.390612image/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

과목차수교육일시교육시간모집인원신청인원마감여부
0비영리단체의 윤리/인문학12016-06-2809:00~13:006060마감
1비영리단체의 윤리/인문학22016-07-1209:00~13:006046마감
2매체홍보전략12016-06-2814:00~18:006060마감
3매체홍보전략22016-07-1214:00~18:006059마감
4비영리단체의 모금전략12016-06-2909:00~13:006060마감
5비영리단체의 모금전략22016-07-1309:00~13:006056마감
6브랜드마케팅12016-06-2914:00~18:006059마감
7브랜드마케팅22016-07-1314:00~18:006057마감
8비영리단체의 엑셀실무12016-07-0509:00~13:006057마감
9비영리단체의 엑셀실무22016-09-2009:00~13:006060마감
과목차수교육일시교육시간모집인원신청인원마감여부
26(필수)비영리단체의 마케팅과 홍보전략22019-05-2113:00~15:0012095마감
27(필수)중장기 경영전략 및 성과관리12019-05-2015:00~17:0012088마감
28(필수)중장기 경영전략 및 성과관리22019-05-2115:00~17:0012095마감
29최종보고서 작성 및 집행등록 가이드라인12020-12-0709:00~17:00150150마감
30최종보고서 작성 및 집행등록 가이드라인22020-12-0809:00~17:00130130마감
31비영리민간단체 실무담당자 역량교육12020-08-2413:00~18:005050마감
32비영리민간단체 실무담당자 역량교육22020-08-2413:00~18:005050마감
33비영리민간단체 실무담당자 역량교육32020-08-2413:00~18:005050마감
34비영리민간단체 실무담당자 역량교육42020-08-2413:00~18:005050마감
35비영리민간단체 실무담당자 역량교육52020-08-2413:00~18:005050마감