Overview

Dataset statistics

Number of variables17
Number of observations147
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.5 KiB
Average record size in memory142.9 B

Variable types

Numeric6
Categorical6
Text3
DateTime2

Dataset

Description교육기부 프로그램은 학교 현장 및 가정에서 참여할 수 있는 교육적 활동으로 대국민 정보제공을 통해 활발한 교육기부 활동을 장려하고자 함. 사기업, 공공기관, 단체 및 개인 등 다양한 경로를 통해 교육기부를 제공하고 있으며, 기타 교육기부 관련 상세자료는 한국과학창의재단에서 운영하는 교육기부 포털을 통해 접할 수 있음
Author한국과학창의재단
URLhttps://www.data.go.kr/data/15091217/fileData.do

Alerts

승인처 has constant value ""Constant
연번 is highly overall correlated with 기관유형High correlation
모집정원 is highly overall correlated with 기부분야 and 1 other fieldsHigh correlation
신청인원 is highly overall correlated with 수혜인원High correlation
수혜인원 is highly overall correlated with 신청인원High correlation
기관유형 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
모집대상 is highly overall correlated with 기관유형High correlation
기부분야 is highly overall correlated with 모집정원High correlation
주제분류 is highly overall correlated with 모집정원High correlation
연번 has unique valuesUnique
모집정원 has 2 (1.4%) zerosZeros
신청인원 has 118 (80.3%) zerosZeros
수혜인원 has 131 (89.1%) zerosZeros
관심교육기부등록수 has 124 (84.4%) zerosZeros

Reproduction

Analysis started2023-12-12 21:42:01.929509
Analysis finished2023-12-12 21:42:06.831794
Duration4.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct147
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74
Minimum1
Maximum147
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-13T06:42:06.925056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.3
Q137.5
median74
Q3110.5
95-th percentile139.7
Maximum147
Range146
Interquartile range (IQR)73

Descriptive statistics

Standard deviation42.579338
Coefficient of variation (CV)0.57539646
Kurtosis-1.2
Mean74
Median Absolute Deviation (MAD)37
Skewness0
Sum10878
Variance1813
MonotonicityStrictly increasing
2023-12-13T06:42:07.082398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
94 1
 
0.7%
96 1
 
0.7%
97 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
102 1
 
0.7%
103 1
 
0.7%
Other values (137) 137
93.2%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
147 1
0.7%
146 1
0.7%
145 1
0.7%
144 1
0.7%
143 1
0.7%
142 1
0.7%
141 1
0.7%
140 1
0.7%
139 1
0.7%
138 1
0.7%

승인처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
교육기부센터
147 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
교육기부센터 147
100.0%

Length

2023-12-13T06:42:07.252224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:42:07.693282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교육기부센터 147
100.0%

기관유형
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
기업
48 
대학교
45 
공공기관
34 
단체
18 
출연연
 
1

Length

Max length7
Median length4
Mean length2.8095238
Min length2

Unique

Unique2 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
기업 48
32.7%
대학교 45
30.6%
공공기관 34
23.1%
단체 18
 
12.2%
출연연 1
 
0.7%
협회 및 학회 1
 
0.7%

Length

2023-12-13T06:42:07.813102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:42:07.951828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기업 48
32.2%
대학교 45
30.2%
공공기관 34
22.8%
단체 18
 
12.1%
출연연 1
 
0.7%
협회 1
 
0.7%
및 1
 
0.7%
학회 1
 
0.7%

기관명
Text

Distinct69
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T06:42:08.221904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length8.5918367
Min length3

Characters and Unicode

Total characters1263
Distinct characters209
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)25.9%

Sample

1st row(사)푸드포체인지
2nd row(사)푸드포체인지
3rd row(사)푸드포체인지
4th row(사)푸드포체인지
5th row(주)그린발전소
ValueCountFrequency (%)
제주관광대학교 19
 
10.5%
대구과학대학교 13
 
7.2%
bmw 7
 
3.9%
코리아 7
 
3.9%
미래재단 7
 
3.9%
한라대학교 5
 
2.8%
사)푸드포체인지 4
 
2.2%
한국수자원공사 4
 
2.2%
공항철도(주 4
 
2.2%
한국전력공사 4
 
2.2%
Other values (73) 107
59.1%
2023-12-13T06:42:08.598453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 64
 
5.1%
대 61
 
4.8%
교 51
 
4.0%
주 44
 
3.5%
한 42
 
3.3%
국 41
 
3.2%
관 35
 
2.8%
34
 
2.7%
) 32
 
2.5%
( 32
 
2.5%
Other values (199) 827
65.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1108
87.7%
Uppercase Letter 51
 
4.0%
Space Separator 34
 
2.7%
Close Punctuation 32
 
2.5%
Open Punctuation 32
 
2.5%
Other Punctuation 3
 
0.2%
Decimal Number 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 64
 
5.8%
대 61
 
5.5%
교 51
 
4.6%
주 44
 
4.0%
한 42
 
3.8%
국 41
 
3.7%
관 35
 
3.2%
리 29
 
2.6%
전 27
 
2.4%
사 24
 
2.2%
Other values (178) 690
62.3%
Uppercase Letter
ValueCountFrequency (%)
K 7
13.7%
W 7
13.7%
M 7
13.7%
B 7
13.7%
C 5
9.8%
S 4
7.8%
O 3
5.9%
I 3
5.9%
A 3
5.9%
N 2
 
3.9%
Other values (2) 3
5.9%
Other Punctuation
ValueCountFrequency (%)
/ 1
33.3%
, 1
33.3%
. 1
33.3%
Decimal Number
ValueCountFrequency (%)
4 1
33.3%
0 1
33.3%
3 1
33.3%
Space Separator
ValueCountFrequency (%)
34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1108
87.7%
Common 104
 
8.2%
Latin 51
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 64
 
5.8%
대 61
 
5.5%
교 51
 
4.6%
주 44
 
4.0%
한 42
 
3.8%
국 41
 
3.7%
관 35
 
3.2%
리 29
 
2.6%
전 27
 
2.4%
사 24
 
2.2%
Other values (178) 690
62.3%
Latin
ValueCountFrequency (%)
K 7
13.7%
W 7
13.7%
M 7
13.7%
B 7
13.7%
C 5
9.8%
S 4
7.8%
O 3
5.9%
I 3
5.9%
A 3
5.9%
N 2
 
3.9%
Other values (2) 3
5.9%
Common
ValueCountFrequency (%)
34
32.7%
) 32
30.8%
( 32
30.8%
/ 1
 
1.0%
4 1
 
1.0%
, 1
 
1.0%
. 1
 
1.0%
0 1
 
1.0%
3 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1108
87.7%
ASCII 155
 
12.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 64
 
5.8%
대 61
 
5.5%
교 51
 
4.6%
주 44
 
4.0%
한 42
 
3.8%
국 41
 
3.7%
관 35
 
3.2%
리 29
 
2.6%
전 27
 
2.4%
사 24
 
2.2%
Other values (178) 690
62.3%
ASCII
ValueCountFrequency (%)
34
21.9%
) 32
20.6%
( 32
20.6%
K 7
 
4.5%
W 7
 
4.5%
M 7
 
4.5%
B 7
 
4.5%
C 5
 
3.2%
S 4
 
2.6%
O 3
 
1.9%
Other values (11) 17
11.0%

프로그램명
Text

Distinct138
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T06:42:08.920610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length33
Mean length23.238095
Min length5

Characters and Unicode

Total characters3416
Distinct characters369
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique134 ?
Unique (%)91.2%

Sample

1st row2021 (온라인) 바른먹거리 초등 교육
2nd row2021 바른먹거리 '동물복지' 초등 오프라인 교육 (수도권, 부산)
3rd row2021 바른먹거리 초등 오프라인 교육 (수도권, 부산)
4th row2021 (온라인) 바른먹거리 '동물복지' 초등 교육
5th row나만의 발전소 만들기
ValueCountFrequency (%)
2021 19
 
2.8%
체험 19
 
2.8%
찾아가는 16
 
2.4%
신바람 14
 
2.1%
2021년 10
 
1.5%
교육 8
 
1.2%
주니어 8
 
1.2%
온라인 8
 
1.2%
함께하는 8
 
1.2%
7
 
1.0%
Other values (373) 551
82.5%
2023-12-13T06:42:09.456087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
522
 
15.3%
2 79
 
2.3%
( 68
 
2.0%
) 68
 
2.0%
교 64
 
1.9%
학 54
 
1.6%
험 46
 
1.3%
체 45
 
1.3%
1 44
 
1.3%
는 44
 
1.3%
Other values (359) 2382
69.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2289
67.0%
Space Separator 522
 
15.3%
Decimal Number 170
 
5.0%
Uppercase Letter 132
 
3.9%
Lowercase Letter 80
 
2.3%
Open Punctuation 68
 
2.0%
Close Punctuation 68
 
2.0%
Other Punctuation 58
 
1.7%
Dash Punctuation 10
 
0.3%
Connector Punctuation 9
 
0.3%
Other values (2) 10
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 64
 
2.8%
학 54
 
2.4%
험 46
 
2.0%
체 45
 
2.0%
는 44
 
1.9%
지 42
 
1.8%
아 37
 
1.6%
이 37
 
1.6%
로 34
 
1.5%
바 33
 
1.4%
Other values (303) 1853
81.0%
Uppercase Letter
ValueCountFrequency (%)
M 16
12.1%
O 13
9.8%
D 11
8.3%
S 11
8.3%
W 11
8.3%
A 10
 
7.6%
R 9
 
6.8%
I 9
 
6.8%
K 8
 
6.1%
B 8
 
6.1%
Other values (11) 26
19.7%
Lowercase Letter
ValueCountFrequency (%)
e 11
13.8%
o 10
12.5%
r 7
8.8%
l 6
 
7.5%
a 6
 
7.5%
t 6
 
7.5%
n 6
 
7.5%
h 5
 
6.2%
w 4
 
5.0%
g 4
 
5.0%
Other values (6) 15
18.8%
Decimal Number
ValueCountFrequency (%)
2 79
46.5%
1 44
25.9%
0 39
22.9%
3 5
 
2.9%
4 2
 
1.2%
5 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
' 24
41.4%
, 22
37.9%
. 5
 
8.6%
/ 4
 
6.9%
" 2
 
3.4%
! 1
 
1.7%
Space Separator
ValueCountFrequency (%)
522
100.0%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 5
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2289
67.0%
Common 915
 
26.8%
Latin 212
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 64
 
2.8%
학 54
 
2.4%
험 46
 
2.0%
체 45
 
2.0%
는 44
 
1.9%
지 42
 
1.8%
아 37
 
1.6%
이 37
 
1.6%
로 34
 
1.5%
바 33
 
1.4%
Other values (303) 1853
81.0%
Latin
ValueCountFrequency (%)
M 16
 
7.5%
O 13
 
6.1%
e 11
 
5.2%
D 11
 
5.2%
S 11
 
5.2%
W 11
 
5.2%
A 10
 
4.7%
o 10
 
4.7%
R 9
 
4.2%
I 9
 
4.2%
Other values (27) 101
47.6%
Common
ValueCountFrequency (%)
522
57.0%
2 79
 
8.6%
( 68
 
7.4%
) 68
 
7.4%
1 44
 
4.8%
0 39
 
4.3%
' 24
 
2.6%
, 22
 
2.4%
- 10
 
1.1%
_ 9
 
1.0%
Other values (9) 30
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2289
67.0%
ASCII 1117
32.7%
Punctuation 10
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
522
46.7%
2 79
 
7.1%
( 68
 
6.1%
) 68
 
6.1%
1 44
 
3.9%
0 39
 
3.5%
' 24
 
2.1%
, 22
 
2.0%
M 16
 
1.4%
O 13
 
1.2%
Other values (44) 222
19.9%
Hangul
ValueCountFrequency (%)
교 64
 
2.8%
학 54
 
2.4%
험 46
 
2.0%
체 45
 
2.0%
는 44
 
1.9%
지 42
 
1.8%
아 37
 
1.6%
이 37
 
1.6%
로 34
 
1.5%
바 33
 
1.4%
Other values (303) 1853
81.0%
Punctuation
ValueCountFrequency (%)
’ 5
50.0%
‘ 5
50.0%

모집대상
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
중학교, 고등학교
41 
초등학교
35 
초등학교, 중학교, 고등학교
21 
고등학교
15 
초등학교, 중학교
10 
Other values (7)
25 

Length

Max length20
Median length15
Mean length7.4353741
Min length2

Unique

Unique3 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
중학교, 고등학교 41
27.9%
초등학교 35
23.8%
초등학교, 중학교, 고등학교 21
14.3%
고등학교 15
 
10.2%
초등학교, 중학교 10
 
6.8%
교원 9
 
6.1%
중학교 8
 
5.4%
유치원, 초등학교 3
 
2.0%
유치원 2
 
1.4%
초등학교, 고등학교 1
 
0.7%
Other values (2) 2
 
1.4%

Length

2023-12-13T06:42:09.612078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
중학교 82
32.9%
고등학교 79
31.7%
초등학교 72
28.9%
교원 9
 
3.6%
유치원 7
 
2.8%

기부분야
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
기타
105 
창의적체험활동
18 
진로·직업체험
17 
자유학기제
 
4
교과학습지원
 
2

Length

Max length12
Median length2
Mean length3.3945578
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
기타 105
71.4%
창의적체험활동 18
 
12.2%
진로·직업체험 17
 
11.6%
자유학기제 4
 
2.7%
교과학습지원 2
 
1.4%
방과 후 학교 프로그램 1
 
0.7%

Length

2023-12-13T06:42:09.766830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:42:09.867725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 105
70.0%
창의적체험활동 18
 
12.0%
진로·직업체험 17
 
11.3%
자유학기제 4
 
2.7%
교과학습지원 2
 
1.3%
방과 1
 
0.7%
후 1
 
0.7%
학교 1
 
0.7%
프로그램 1
 
0.7%

주제분류
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
기타
32 
과학기술
31 
인문사회
23 
예체능
16 
과학기술, 녹색, 기타
14 
Other values (16)
31 

Length

Max length27
Median length23
Mean length5
Min length2

Unique

Unique10 ?
Unique (%)6.8%

Sample

1st row기타
2nd row기타
3rd row기타
4th row기타
5th row녹색

Common Values

ValueCountFrequency (%)
기타 32
21.8%
과학기술 31
21.1%
인문사회 23
15.6%
예체능 16
10.9%
과학기술, 녹색, 기타 14
9.5%
보건 7
 
4.8%
과학기술, 기타 6
 
4.1%
인문사회, 기타 2
 
1.4%
보건, 기타 2
 
1.4%
녹색 2
 
1.4%
Other values (11) 12
 
8.2%

Length

2023-12-13T06:42:09.993311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 60
29.0%
과학기술 59
28.5%
인문사회 31
15.0%
예체능 21
 
10.1%
녹색 21
 
10.1%
보건 14
 
6.8%
수학 1
 
0.5%

지역
Categorical

Distinct15
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
전국
40 
제주
20 
대구
16 
서울
13 
강원
10 
Other values (10)
48 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전국
2nd row전국
3rd row전국
4th row전국
5th row서울

Common Values

ValueCountFrequency (%)
전국 40
27.2%
제주 20
13.6%
대구 16
 
10.9%
서울 13
 
8.8%
강원 10
 
6.8%
대전 9
 
6.1%
충남 8
 
5.4%
경남 7
 
4.8%
전남 6
 
4.1%
전북 5
 
3.4%
Other values (5) 13
 
8.8%

Length

2023-12-13T06:42:10.115974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전국 40
27.2%
제주 20
13.6%
대구 16
 
10.9%
서울 13
 
8.8%
강원 10
 
6.8%
대전 9
 
6.1%
충남 8
 
5.4%
경남 7
 
4.8%
전남 6
 
4.1%
전북 5
 
3.4%
Other values (5) 13
 
8.8%

운영시작일
Date

Distinct49
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2021-01-01 00:00:00
Maximum2021-12-29 00:00:00
2023-12-13T06:42:10.238947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:10.378109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

운영종료일
Date

Distinct39
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2021-01-27 00:00:00
Maximum2023-12-31 00:00:00
2023-12-13T06:42:10.500754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:10.610199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

모집정원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct29
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7458.1156
Minimum0
Maximum999999
Zeros2
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-13T06:42:10.717961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q120
median30
Q3175
95-th percentile2000
Maximum999999
Range999999
Interquartile range (IQR)155

Descriptive statistics

Standard deviation82474.542
Coefficient of variation (CV)11.058362
Kurtosis146.63325
Mean7458.1156
Median Absolute Deviation (MAD)10
Skewness12.102087
Sum1096343
Variance6.8020502 × 109
MonotonicityNot monotonic
2023-12-13T06:42:10.826497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
20 23
15.6%
30 23
15.6%
35 15
10.2%
200 10
 
6.8%
15 10
 
6.8%
10 9
 
6.1%
25 9
 
6.1%
50 5
 
3.4%
500 5
 
3.4%
2000 5
 
3.4%
Other values (19) 33
22.4%
ValueCountFrequency (%)
0 2
 
1.4%
8 1
 
0.7%
10 9
 
6.1%
12 1
 
0.7%
15 10
6.8%
20 23
15.6%
24 1
 
0.7%
25 9
 
6.1%
30 23
15.6%
35 15
10.2%
ValueCountFrequency (%)
999999 1
 
0.7%
20000 3
2.0%
6000 1
 
0.7%
3000 1
 
0.7%
2000 5
3.4%
1500 3
2.0%
1350 1
 
0.7%
1000 2
 
1.4%
500 5
3.4%
450 1
 
0.7%

신청인원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.70068
Minimum0
Maximum1981
Zeros118
Zeros (%)80.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-13T06:42:10.926712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile38.1
Maximum1981
Range1981
Interquartile range (IQR)0

Descriptive statistics

Standard deviation174.65482
Coefficient of variation (CV)7.0708507
Kurtosis110.63646
Mean24.70068
Median Absolute Deviation (MAD)0
Skewness10.140919
Sum3631
Variance30504.307
MonotonicityNot monotonic
2023-12-13T06:42:11.033026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 118
80.3%
1 8
 
5.4%
2 6
 
4.1%
39 1
 
0.7%
3 1
 
0.7%
204 1
 
0.7%
22 1
 
0.7%
168 1
 
0.7%
4 1
 
0.7%
36 1
 
0.7%
Other values (8) 8
 
5.4%
ValueCountFrequency (%)
0 118
80.3%
1 8
 
5.4%
2 6
 
4.1%
3 1
 
0.7%
4 1
 
0.7%
21 1
 
0.7%
22 1
 
0.7%
25 1
 
0.7%
28 1
 
0.7%
36 1
 
0.7%
ValueCountFrequency (%)
1981 1
0.7%
667 1
0.7%
305 1
0.7%
204 1
0.7%
168 1
0.7%
63 1
0.7%
45 1
0.7%
39 1
0.7%
36 1
0.7%
28 1
0.7%

수혜인원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct11
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.129252
Minimum0
Maximum1816
Zeros131
Zeros (%)89.1%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-13T06:42:11.131484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum1816
Range1816
Interquartile range (IQR)0

Descriptive statistics

Standard deviation160.38252
Coefficient of variation (CV)7.9676343
Kurtosis111.03598
Mean20.129252
Median Absolute Deviation (MAD)0
Skewness10.217696
Sum2959
Variance25722.552
MonotonicityNot monotonic
2023-12-13T06:42:11.223537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 131
89.1%
1 4
 
2.7%
2 3
 
2.0%
3 2
 
1.4%
1816 1
 
0.7%
199 1
 
0.7%
63 1
 
0.7%
667 1
 
0.7%
11 1
 
0.7%
168 1
 
0.7%
ValueCountFrequency (%)
0 131
89.1%
1 4
 
2.7%
2 3
 
2.0%
3 2
 
1.4%
11 1
 
0.7%
19 1
 
0.7%
63 1
 
0.7%
168 1
 
0.7%
199 1
 
0.7%
667 1
 
0.7%
ValueCountFrequency (%)
1816 1
 
0.7%
667 1
 
0.7%
199 1
 
0.7%
168 1
 
0.7%
63 1
 
0.7%
19 1
 
0.7%
11 1
 
0.7%
3 2
1.4%
2 3
2.0%
1 4
2.7%

클릭수
Real number (ℝ)

Distinct130
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean519.87755
Minimum7
Maximum8144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-13T06:42:11.334034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile19.2
Q1134.5
median257
Q3439
95-th percentile1630.9
Maximum8144
Range8137
Interquartile range (IQR)304.5

Descriptive statistics

Standard deviation1009.5622
Coefficient of variation (CV)1.941923
Kurtosis27.420396
Mean519.87755
Median Absolute Deviation (MAD)162
Skewness4.7682042
Sum76422
Variance1019215.8
MonotonicityNot monotonic
2023-12-13T06:42:11.456101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32 3
 
2.0%
186 3
 
2.0%
288 2
 
1.4%
257 2
 
1.4%
225 2
 
1.4%
7 2
 
1.4%
310 2
 
1.4%
9 2
 
1.4%
10 2
 
1.4%
476 2
 
1.4%
Other values (120) 125
85.0%
ValueCountFrequency (%)
7 2
1.4%
9 2
1.4%
10 2
1.4%
11 1
0.7%
18 1
0.7%
22 2
1.4%
24 1
0.7%
25 1
0.7%
26 1
0.7%
27 2
1.4%
ValueCountFrequency (%)
8144 1
0.7%
5292 1
0.7%
4400 1
0.7%
4145 1
0.7%
3406 1
0.7%
3295 1
0.7%
1841 1
0.7%
1678 1
0.7%
1521 1
0.7%
1429 1
0.7%

관심교육기부등록수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.36734694
Minimum0
Maximum21
Zeros124
Zeros (%)84.4%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-13T06:42:11.566947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.7
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.8247974
Coefficient of variation (CV)4.9675039
Kurtosis113.77523
Mean0.36734694
Median Absolute Deviation (MAD)0
Skewness10.151012
Sum54
Variance3.3298854
MonotonicityNot monotonic
2023-12-13T06:42:11.655677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 124
84.4%
1 15
 
10.2%
2 4
 
2.7%
3 2
 
1.4%
21 1
 
0.7%
4 1
 
0.7%
ValueCountFrequency (%)
0 124
84.4%
1 15
 
10.2%
2 4
 
2.7%
3 2
 
1.4%
4 1
 
0.7%
21 1
 
0.7%
ValueCountFrequency (%)
21 1
 
0.7%
4 1
 
0.7%
3 2
 
1.4%
2 4
 
2.7%
1 15
 
10.2%
0 124
84.4%

운영주소
Text

Distinct99
Distinct (%)67.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T06:42:11.902725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length55
Mean length36.482993
Min length4

Characters and Unicode

Total characters5363
Distinct characters320
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)51.7%

Sample

1st row(우),
2nd row(우),
3rd row(우),
4th row(우),
5th row(우)08274, 서울 구로구 개봉로23길 10 (개봉동) 2층
ValueCountFrequency (%)
우 29
 
2.8%
서울 19
 
1.8%
제주시 19
 
1.8%
애월읍 19
 
1.8%
평화로 19
 
1.8%
2715 19
 
1.8%
우)63063 19
 
1.8%
제주특별자치도 19
 
1.8%
대구 17
 
1.6%
북구 15
 
1.4%
Other values (434) 855
81.5%
2023-12-13T06:42:12.320798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
902
 
16.8%
( 231
 
4.3%
) 231
 
4.3%
, 162
 
3.0%
3 161
 
3.0%
우 150
 
2.8%
1 141
 
2.6%
4 137
 
2.6%
2 129
 
2.4%
로 125
 
2.3%
Other values (310) 2994
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2649
49.4%
Decimal Number 1079
20.1%
Space Separator 902
 
16.8%
Open Punctuation 231
 
4.3%
Close Punctuation 231
 
4.3%
Other Punctuation 170
 
3.2%
Uppercase Letter 62
 
1.2%
Lowercase Letter 29
 
0.5%
Dash Punctuation 10
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
우 150
 
5.7%
로 125
 
4.7%
구 91
 
3.4%
동 90
 
3.4%
대 72
 
2.7%
주 67
 
2.5%
관 64
 
2.4%
전 58
 
2.2%
시 53
 
2.0%
서 48
 
1.8%
Other values (262) 1831
69.1%
Uppercase Letter
ValueCountFrequency (%)
K 9
14.5%
S 6
 
9.7%
C 6
 
9.7%
T 5
 
8.1%
O 5
 
8.1%
A 4
 
6.5%
I 4
 
6.5%
R 3
 
4.8%
U 3
 
4.8%
D 2
 
3.2%
Other values (10) 15
24.2%
Decimal Number
ValueCountFrequency (%)
3 161
14.9%
1 141
13.1%
4 137
12.7%
2 129
12.0%
5 116
10.8%
0 114
10.6%
6 102
9.5%
7 72
6.7%
8 59
 
5.5%
9 48
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
e 6
20.7%
r 5
17.2%
t 5
17.2%
a 4
13.8%
w 4
13.8%
o 2
 
6.9%
n 1
 
3.4%
c 1
 
3.4%
m 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
, 162
95.3%
/ 3
 
1.8%
: 2
 
1.2%
* 2
 
1.2%
. 1
 
0.6%
Space Separator
ValueCountFrequency (%)
902
100.0%
Open Punctuation
ValueCountFrequency (%)
( 231
100.0%
Close Punctuation
ValueCountFrequency (%)
) 231
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2649
49.4%
Common 2623
48.9%
Latin 91
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
우 150
 
5.7%
로 125
 
4.7%
구 91
 
3.4%
동 90
 
3.4%
대 72
 
2.7%
주 67
 
2.5%
관 64
 
2.4%
전 58
 
2.2%
시 53
 
2.0%
서 48
 
1.8%
Other values (262) 1831
69.1%
Latin
ValueCountFrequency (%)
K 9
 
9.9%
e 6
 
6.6%
S 6
 
6.6%
C 6
 
6.6%
r 5
 
5.5%
t 5
 
5.5%
T 5
 
5.5%
O 5
 
5.5%
A 4
 
4.4%
a 4
 
4.4%
Other values (19) 36
39.6%
Common
ValueCountFrequency (%)
902
34.4%
( 231
 
8.8%
) 231
 
8.8%
, 162
 
6.2%
3 161
 
6.1%
1 141
 
5.4%
4 137
 
5.2%
2 129
 
4.9%
5 116
 
4.4%
0 114
 
4.3%
Other values (9) 299
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2714
50.6%
Hangul 2649
49.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
902
33.2%
( 231
 
8.5%
) 231
 
8.5%
, 162
 
6.0%
3 161
 
5.9%
1 141
 
5.2%
4 137
 
5.0%
2 129
 
4.8%
5 116
 
4.3%
0 114
 
4.2%
Other values (38) 390
14.4%
Hangul
ValueCountFrequency (%)
우 150
 
5.7%
로 125
 
4.7%
구 91
 
3.4%
동 90
 
3.4%
대 72
 
2.7%
주 67
 
2.5%
관 64
 
2.4%
전 58
 
2.2%
시 53
 
2.0%
서 48
 
1.8%
Other values (262) 1831
69.1%

Interactions

2023-12-13T06:42:05.895580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:03.292372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:03.758584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:04.273664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:04.762677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:05.268570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:05.988272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:03.367443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:03.832846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:04.348653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:04.840844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:05.391037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:06.076351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:03.441653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:03.915535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:04.432129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:04.918463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:05.487216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:06.167839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:03.521072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:04.011052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:04.516264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:05.001675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:05.592039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:06.253265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:03.598756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:04.106934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:04.604202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:05.084585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:05.684253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:06.340073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:03.690340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:04.206344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:04.689850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:05.179464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:42:05.801315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:42:12.424829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관유형기관명모집대상기부분야주제분류지역운영시작일운영종료일모집정원신청인원수혜인원클릭수관심교육기부등록수운영주소
연번1.0000.8720.9880.5850.4660.6480.8170.8950.7980.0000.0000.0510.2370.0000.964
기관유형0.8721.0001.0000.8830.4640.7970.6980.9260.8940.0000.0000.0000.1850.0000.990
기관명0.9881.0001.0000.9780.9570.9850.9930.9870.9881.0001.0001.0000.9000.9930.998
모집대상0.5850.8830.9781.0000.7030.7300.7480.9030.8620.0000.6860.0000.0000.0000.951
기부분야0.4660.4640.9570.7031.0000.5350.3830.8410.7530.8800.0000.0000.4380.0000.910
주제분류0.6480.7970.9850.7300.5351.0000.3570.9050.9141.0000.0000.0000.7450.0000.964
지역0.8170.6980.9930.7480.3830.3571.0000.8120.6910.0000.0670.0000.3990.0000.984
운영시작일0.8950.9260.9870.9030.8410.9050.8121.0000.9881.0000.0000.0000.0000.0000.951
운영종료일0.7980.8940.9880.8620.7530.9140.6910.9881.0001.0000.0000.0000.7650.0000.978
모집정원0.0000.0001.0000.0000.8801.0000.0001.0001.0001.0000.0000.0000.0000.0001.000
신청인원0.0000.0001.0000.6860.0000.0000.0670.0000.0000.0001.0000.9960.5330.4850.915
수혜인원0.0510.0001.0000.0000.0000.0000.0000.0000.0000.0000.9961.0000.7080.6700.915
클릭수0.2370.1850.9000.0000.4380.7450.3990.0000.7650.0000.5330.7081.0000.7830.000
관심교육기부등록수0.0000.0000.9930.0000.0000.0000.0000.0000.0000.0000.4850.6700.7831.0000.918
운영주소0.9640.9900.9980.9510.9100.9640.9840.9510.9781.0000.9150.9150.0000.9181.000
2023-12-13T06:42:12.581007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관유형지역기부분야모집대상주제분류
기관유형1.0000.4010.1830.5390.484
지역0.4011.0000.1810.3830.112
기부분야0.1830.1811.0000.3440.257
모집대상0.5390.3830.3441.0000.336
주제분류0.4840.1120.2570.3361.000
2023-12-13T06:42:12.676455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번모집정원신청인원수혜인원클릭수관심교육기부등록수기관유형모집대상기부분야주제분류지역
연번1.000-0.295-0.196-0.0680.059-0.1640.6960.2910.2720.2900.465
모집정원-0.2951.0000.1150.0230.1580.0320.0000.0000.6820.9320.000
신청인원-0.1960.1151.0000.7290.3270.4910.0000.3700.0000.0000.026
수혜인원-0.0680.0230.7291.0000.3230.4200.0000.0000.0000.0000.000
클릭수0.0590.1580.3270.3231.0000.4000.1090.0000.2770.3620.185
관심교육기부등록수-0.1640.0320.4910.4200.4001.0000.0000.0000.0000.0000.000
기관유형0.6960.0000.0000.0000.1090.0001.0000.5390.1830.4840.401
모집대상0.2910.0000.3700.0000.0000.0000.5391.0000.3440.3360.383
기부분야0.2720.6820.0000.0000.2770.0000.1830.3441.0000.2570.181
주제분류0.2900.9320.0000.0000.3620.0000.4840.3360.2571.0000.112
지역0.4650.0000.0260.0000.1850.0000.4010.3830.1810.1121.000

Missing values

2023-12-13T06:42:06.459992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:42:06.696068image/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

연번승인처기관유형기관명프로그램명모집대상기부분야주제분류지역운영시작일운영종료일모집정원신청인원수혜인원클릭수관심교육기부등록수운영주소
01교육기부센터기업(사)푸드포체인지2021 (온라인) 바른먹거리 초등 교육초등학교기타기타전국2021-05-012021-11-302000002880(우),
12교육기부센터기업(사)푸드포체인지2021 바른먹거리 '동물복지' 초등 오프라인 교육 (수도권, 부산)초등학교기타기타전국2021-05-012021-11-30500001911(우),
23교육기부센터기업(사)푸드포체인지2021 바른먹거리 초등 오프라인 교육 (수도권, 부산)초등학교기타기타전국2021-05-012021-11-302000002440(우),
34교육기부센터기업(사)푸드포체인지2021 (온라인) 바른먹거리 '동물복지' 초등 교육초등학교기타기타전국2021-05-012021-11-301500002540(우),
45교육기부센터기업(주)그린발전소나만의 발전소 만들기초등학교기타녹색서울2021-03-202021-03-2010005150(우)08274, 서울 구로구 개봉로23길 10 (개봉동) 2층
56교육기부센터기업(주)미래엔즐겁게 배우는 통일, 디지털 게임형 통일교육 수업키트 지원교원기타인문사회전국2021-02-012021-12-311350005213(우),
67교육기부센터기업(주)미래엔학교공간혁신교육 수업키트 지원교원기타인문사회, 예체능전국2021-02-012021-12-31450204862(우),
78교육기부센터기업(주)신세계아이앤씨신세계아이앤씨 IT챌린지 "주니어 코딩 탐험대"초등학교, 중학교기타과학기술전국2021-03-012021-12-3160001981181615211(우), 학교 방문 진행
89교육기부센터기업(주)에일리언테크놀로지아시아3D펜톡창의융합교실초등학교, 중학교, 고등학교기타예체능전국2021-01-012021-12-3115305199814421(우)08510, 서울 금천구 디지털로9길 99 (가산동) 1008(스타밸리)
910교육기부센터기업(주)웅진씽크빅AI학교수학 온라인교육콘텐츠 무료 제공초등학교교과학습지원수학전국2021-02-082022-02-289999994504490(우), 온라인/디지털 학습프로그램
연번승인처기관유형기관명프로그램명모집대상기부분야주제분류지역운영시작일운영종료일모집정원신청인원수혜인원클릭수관심교육기부등록수운영주소
137138교육기부센터단체경기도교통연수원찾아가는 교통안전교육유치원, 초등학교, 중학교, 고등학교기타기타경기2021-03-012021-12-10200204198131(우)16293, 경기 수원시 장안구 수일로191번길 6 (조원동) 경기도교통연수원 기획협력팀
138139교육기부센터단체멘토링,강연 교육기부 봉사단제11회 꿈을 찾는 여정, 대학탐방의 날중학교, 고등학교창의적체험활동기타전국2021-02-192021-02-21300002030(우),
139140교육기부센터단체사단법인 사피엔스4.0KB디지털Mentoring 중학교 자유학년제 SW프로그램중학교자유학기제과학기술경기2021-03-022021-11-30150003390(우)045-19, 서울특별시 중구 세종대로21길 49 (태평로1가, 오양수산빌딩) 본관 601호
140141교육기부센터단체유스체인지메이커스청소년 사회혁신가 양성 프로그램고등학교기타기타전국2021-12-292022-02-09600070(우), 전면 온라인 (Zoom)으로 진행
141142교육기부센터단체재단법인 홍합밸리2021 다솜이 드림메이커스초등학교, 중학교, 고등학교기타과학기술서울2021-01-012021-12-31100006750(우)03993, 서울 마포구 월드컵북로4길 77 (동교동) 1층
142143교육기부센터단체학교폭력상담심리연구소찾아가는 청소년법교육초등학교, 중학교, 고등학교기타인문사회전국2021-04-052021-05-0540335290(우)41909, 대구 중구 국채보상로 585 (사일동) 국채보상로
143144교육기부센터단체학교폭력상담심리연구소찾아가는 청소년법교육초등학교, 중학교, 고등학교기타인문사회전국2021-05-172021-06-305000950(우),
144145교육기부센터단체해금강테마박물관마트료시카를 이용한 나만의 캐릭터 만들기유치원, 초등학교창의적체험활동예체능경남2021-05-012021-11-30240002970(우)53334, 경남 거제시 남부면 해금강로 120 해금강테마박물관
145146교육기부센터단체해금강테마박물관우리나라 전통 악기로 배워보는 난타초등학교, 중학교기타예체능경남2021-05-012021-10-31200003100(우)53334, 경남 거제시 남부면 해금강로 120 해금강테마박물관
146147교육기부센터단체해금강테마박물관나만의 명화 에코백 만들기유치원, 초등학교, 중학교기타예체능경남2021-05-012021-11-30300002881(우)53334, 경남 거제시 남부면 해금강로 120 해금강테마박물관