Overview

Dataset statistics

Number of variables13
Number of observations178
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.8 KiB
Average record size in memory113.7 B

Variable types

Categorical7
Text1
Numeric5

Dataset

Description대학생 청소년교육지원장학금 멘토링 관련 교부금 운영 계획: 상품명, 배정년도, 배정구분, 배정학기, 대학명, 근로인원수, 근로예상시간수, 예상국고금액
URLhttps://www.data.go.kr/data/15070060/fileData.do

Alerts

상품명 has constant value ""Constant
배정년도 has constant value ""Constant
배정구분코드 has constant value ""Constant
배정일련번호 has constant value ""Constant
신청일련번호 has constant value ""Constant
근로장학기관분류 has constant value ""Constant
근로인원수 is highly overall correlated with 예상국고금액(원)High correlation
예상국고금액(원) is highly overall correlated with 근로인원수High correlation
배정학기 is highly imbalanced (91.1%)Imbalance
대학명 has unique valuesUnique
예상국고금액(원) has 3 (1.7%) zerosZeros
예상대응투자금액(원) has 167 (93.8%) zerosZeros
급여금액(원) has 164 (92.1%) zerosZeros

Reproduction

Analysis started2023-12-12 13:30:50.974297
Analysis finished2023-12-12 13:30:55.079829
Duration4.11 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상품명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
교사대생튜터링장학사업
178 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
교사대생튜터링장학사업 178
100.0%

Length

2023-12-12T22:30:55.151841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:30:55.269511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교사대생튜터링장학사업 178
100.0%

배정년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2022
178 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 178
100.0%

Length

2023-12-12T22:30:55.417366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:30:55.531393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 178
100.0%

배정구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
정기배정
178 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정기배정 178
100.0%

Length

2023-12-12T22:30:55.633144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:30:55.751060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정기배정 178
100.0%

배정일련번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
178 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 178
100.0%

Length

2023-12-12T22:30:55.856505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:30:55.951691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 178
100.0%

배정학기
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
176 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 176
98.9%
2 2
 
1.1%

Length

2023-12-12T22:30:56.044222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:30:56.140916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 176
98.9%
2 2
 
1.1%

대학명
Text

UNIQUE 

Distinct178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T22:30:56.306703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length12.550562
Min length5

Characters and Unicode

Total characters2234
Distinct characters155
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

Unique178 ?
Unique (%)100.0%

Sample

1st row한양대학교(본교) 학부
2nd row영남이공대학교(본교)
3rd row조선간호대학교(본교)
4th row포항공과대학교(본교) 학부
5th row청주교육대학교(본교) 학부
ValueCountFrequency (%)
학부 141
43.7%
중앙대학교 2
 
0.6%
순복음총회신학교(본교 1
 
0.3%
포항대학교(본교 1
 
0.3%
동국대학교(분교 1
 
0.3%
호서대학교(본교 1
 
0.3%
화성의과학대학교 1
 
0.3%
안성캠퍼스 1
 
0.3%
서울한영대학교(본교)학부 1
 
0.3%
영남대학교(본교 1
 
0.3%
Other values (172) 172
53.3%
2023-12-12T22:30:56.623696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 346
15.5%
학 329
14.7%
대 187
 
8.4%
( 171
 
7.7%
) 171
 
7.7%
본 156
 
7.0%
부 152
 
6.8%
145
 
6.5%
한 22
 
1.0%
국 18
 
0.8%
Other values (145) 537
24.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1747
78.2%
Open Punctuation 171
 
7.7%
Close Punctuation 171
 
7.7%
Space Separator 145
 
6.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 346
19.8%
학 329
18.8%
대 187
 
10.7%
본 156
 
8.9%
부 152
 
8.7%
한 22
 
1.3%
국 18
 
1.0%
서 17
 
1.0%
스 14
 
0.8%
퍼 14
 
0.8%
Other values (142) 492
28.2%
Open Punctuation
ValueCountFrequency (%)
( 171
100.0%
Close Punctuation
ValueCountFrequency (%)
) 171
100.0%
Space Separator
ValueCountFrequency (%)
145
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1747
78.2%
Common 487
 
21.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 346
19.8%
학 329
18.8%
대 187
 
10.7%
본 156
 
8.9%
부 152
 
8.7%
한 22
 
1.3%
국 18
 
1.0%
서 17
 
1.0%
스 14
 
0.8%
퍼 14
 
0.8%
Other values (142) 492
28.2%
Common
ValueCountFrequency (%)
( 171
35.1%
) 171
35.1%
145
29.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1747
78.2%
ASCII 487
 
21.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 346
19.8%
학 329
18.8%
대 187
 
10.7%
본 156
 
8.9%
부 152
 
8.7%
한 22
 
1.3%
국 18
 
1.0%
서 17
 
1.0%
스 14
 
0.8%
퍼 14
 
0.8%
Other values (142) 492
28.2%
ASCII
ValueCountFrequency (%)
( 171
35.1%
) 171
35.1%
145
29.8%

신청일련번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
178 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 178
100.0%

Length

2023-12-12T22:30:56.782652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:30:56.914159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 178
100.0%

근로장학기관분류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
기타기관
178 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타기관 178
100.0%

Length

2023-12-12T22:30:57.032359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:30:57.140921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타기관 178
100.0%

근로인원수
Real number (ℝ)

HIGH CORRELATION 

Distinct50
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.016854
Minimum1
Maximum800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T22:30:57.272906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q120
median35
Q381.5
95-th percentile300
Maximum800
Range799
Interquartile range (IQR)61.5

Descriptive statistics

Standard deviation126.29454
Coefficient of variation (CV)1.5783492
Kurtosis15.11162
Mean80.016854
Median Absolute Deviation (MAD)25
Skewness3.574642
Sum14243
Variance15950.31
MonotonicityNot monotonic
2023-12-12T22:30:57.446998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 22
 
12.4%
10 21
 
11.8%
30 14
 
7.9%
40 13
 
7.3%
50 10
 
5.6%
15 10
 
5.6%
60 8
 
4.5%
100 7
 
3.9%
25 6
 
3.4%
200 6
 
3.4%
Other values (40) 61
34.3%
ValueCountFrequency (%)
1 1
 
0.6%
2 1
 
0.6%
3 2
 
1.1%
4 1
 
0.6%
5 3
 
1.7%
8 2
 
1.1%
9 1
 
0.6%
10 21
11.8%
14 1
 
0.6%
15 10
5.6%
ValueCountFrequency (%)
800 2
1.1%
700 1
0.6%
500 2
1.1%
450 1
0.6%
400 1
0.6%
310 1
0.6%
300 2
1.1%
273 1
0.6%
250 1
0.6%
230 2
1.1%

근로예상시간수
Real number (ℝ)

Distinct52
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean414.25843
Minimum32
Maximum1240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T22:30:57.606713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile97
Q1250
median350
Q3520
95-th percentile1040
Maximum1240
Range1208
Interquartile range (IQR)270

Descriptive statistics

Standard deviation256.10318
Coefficient of variation (CV)0.6182208
Kurtosis0.91781745
Mean414.25843
Median Absolute Deviation (MAD)150
Skewness1.1433211
Sum73738
Variance65588.837
MonotonicityNot monotonic
2023-12-12T22:30:57.821348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 34
19.1%
200 15
 
8.4%
520 12
 
6.7%
400 12
 
6.7%
600 11
 
6.2%
1040 11
 
6.2%
350 8
 
4.5%
250 6
 
3.4%
800 5
 
2.8%
100 4
 
2.2%
Other values (42) 60
33.7%
ValueCountFrequency (%)
32 1
 
0.6%
40 1
 
0.6%
60 4
2.2%
66 1
 
0.6%
70 1
 
0.6%
80 1
 
0.6%
100 4
2.2%
110 1
 
0.6%
120 1
 
0.6%
128 1
 
0.6%
ValueCountFrequency (%)
1240 1
 
0.6%
1040 11
6.2%
1000 2
 
1.1%
940 1
 
0.6%
800 5
2.8%
760 1
 
0.6%
740 1
 
0.6%
720 1
 
0.6%
700 2
 
1.1%
600 11
6.2%

예상국고금액(원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct110
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2780176 × 108
Minimum0
Maximum3.325 × 109
Zeros3
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T22:30:58.009207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19953125
Q175000000
median1.5 × 108
Q33.8625 × 108
95-th percentile1.1732438 × 109
Maximum3.325 × 109
Range3.325 × 109
Interquartile range (IQR)3.1125 × 108

Descriptive statistics

Standard deviation4.8065203 × 108
Coefficient of variation (CV)1.4662888
Kurtosis14.903072
Mean3.2780176 × 108
Median Absolute Deviation (MAD)1.125 × 108
Skewness3.4485483
Sum5.8348712 × 1010
Variance2.3102637 × 1017
MonotonicityNot monotonic
2023-12-12T22:30:58.533347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150000000 10
 
5.6%
37500000 9
 
5.1%
75000000 7
 
3.9%
100000000 6
 
3.4%
50000000 5
 
2.8%
62500000 4
 
2.2%
125000000 3
 
1.7%
195000000 3
 
1.7%
750000000 3
 
1.7%
500000000 3
 
1.7%
Other values (100) 125
70.2%
ValueCountFrequency (%)
0 3
1.7%
9000000 1
 
0.6%
12000000 1
 
0.6%
13000000 1
 
0.6%
15000000 1
 
0.6%
18750000 1
 
0.6%
19687500 1
 
0.6%
20000000 1
 
0.6%
21875000 1
 
0.6%
22500000 1
 
0.6%
ValueCountFrequency (%)
3325000000 1
0.6%
3000000000 1
0.6%
2000000000 1
0.6%
1998750000 1
0.6%
1820000000 1
0.6%
1800000000 1
0.6%
1562500000 1
0.6%
1500000000 1
0.6%
1300000000 1
0.6%
1150875000 1
0.6%

예상대응투자금액(원)
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2344382
Minimum0
Maximum1.6875 × 108
Zeros167
Zeros (%)93.8%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T22:30:58.696578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8937500
Maximum1.6875 × 108
Range1.6875 × 108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15104594
Coefficient of variation (CV)6.4428893
Kurtosis92.513973
Mean2344382
Median Absolute Deviation (MAD)0
Skewness9.1874377
Sum4.173 × 108
Variance2.2814875 × 1014
MonotonicityNot monotonic
2023-12-12T22:30:58.826812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 167
93.8%
12000000 1
 
0.6%
18750000 1
 
0.6%
97500000 1
 
0.6%
168750000 1
 
0.6%
20800000 1
 
0.6%
5000000 1
 
0.6%
15750000 1
 
0.6%
40000000 1
 
0.6%
8750000 1
 
0.6%
Other values (2) 2
 
1.1%
ValueCountFrequency (%)
0 167
93.8%
5000000 1
 
0.6%
8750000 1
 
0.6%
10000000 1
 
0.6%
12000000 1
 
0.6%
15750000 1
 
0.6%
18750000 1
 
0.6%
20000000 1
 
0.6%
20800000 1
 
0.6%
40000000 1
 
0.6%
ValueCountFrequency (%)
168750000 1
0.6%
97500000 1
0.6%
40000000 1
0.6%
20800000 1
0.6%
20000000 1
0.6%
18750000 1
0.6%
15750000 1
0.6%
12000000 1
0.6%
10000000 1
0.6%
8750000 1
0.6%

급여금액(원)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean935370.79
Minimum0
Maximum78000000
Zeros164
Zeros (%)92.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T22:30:58.970488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile600000
Maximum78000000
Range78000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7047099.9
Coefficient of variation (CV)7.5340176
Kurtosis89.243888
Mean935370.79
Median Absolute Deviation (MAD)0
Skewness9.0900711
Sum1.66496 × 108
Variance4.9661618 × 1013
MonotonicityNot monotonic
2023-12-12T22:30:59.135041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 164
92.1%
600000 2
 
1.1%
1000000 2
 
1.1%
396000 1
 
0.6%
4550000 1
 
0.6%
78000000 1
 
0.6%
35000000 1
 
0.6%
200000 1
 
0.6%
500000 1
 
0.6%
400000 1
 
0.6%
Other values (3) 3
 
1.7%
ValueCountFrequency (%)
0 164
92.1%
200000 1
 
0.6%
396000 1
 
0.6%
400000 1
 
0.6%
500000 1
 
0.6%
600000 2
 
1.1%
750000 1
 
0.6%
1000000 2
 
1.1%
3500000 1
 
0.6%
4550000 1
 
0.6%
ValueCountFrequency (%)
78000000 1
0.6%
40000000 1
0.6%
35000000 1
0.6%
4550000 1
0.6%
3500000 1
0.6%
1000000 2
1.1%
750000 1
0.6%
600000 2
1.1%
500000 1
0.6%
400000 1
0.6%

Interactions

2023-12-12T22:30:54.052172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:51.374253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:52.304142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:52.844585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:53.462327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:54.173562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:51.497662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:52.398759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:52.983171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:53.602567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:54.293646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:51.615935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:52.483079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:53.103699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:53.702297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:54.419773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:52.062654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:52.606336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:53.209476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:53.816723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:54.585522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:52.182905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:52.711019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:53.354264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:30:53.938010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:30:59.265493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
배정학기근로인원수근로예상시간수예상국고금액(원)예상대응투자금액(원)급여금액(원)
배정학기1.0000.0000.0000.0000.0000.000
근로인원수0.0001.0000.0000.8180.6820.425
근로예상시간수0.0000.0001.0000.0920.1220.392
예상국고금액(원)0.0000.8180.0921.0000.4570.719
예상대응투자금액(원)0.0000.6820.1220.4571.0000.358
급여금액(원)0.0000.4250.3920.7190.3581.000
2023-12-12T22:30:59.393277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
근로인원수근로예상시간수예상국고금액(원)예상대응투자금액(원)급여금액(원)배정학기
근로인원수1.000-0.2660.8340.0570.0970.000
근로예상시간수-0.2661.0000.258-0.058-0.1390.000
예상국고금액(원)0.8340.2581.0000.0280.0240.000
예상대응투자금액(원)0.057-0.0580.0281.0000.2770.000
급여금액(원)0.097-0.1390.0240.2771.0000.000
배정학기0.0000.0000.0000.0000.0001.000

Missing values

2023-12-12T22:30:54.732570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:30:54.984031image/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

상품명배정년도배정구분코드배정일련번호배정학기대학명신청일련번호근로장학기관분류근로인원수근로예상시간수예상국고금액(원)예상대응투자금액(원)급여금액(원)
0교사대생튜터링장학사업2022정기배정12한양대학교(본교) 학부1기타기관30602250000000
1교사대생튜터링장학사업2022정기배정12영남이공대학교(본교)1기타기관55163225000000
2교사대생튜터링장학사업2022정기배정11조선간호대학교(본교)1기타기관1576014250000000
3교사대생튜터링장학사업2022정기배정11포항공과대학교(본교) 학부1기타기관302409000000000
4교사대생튜터링장학사업2022정기배정11청주교육대학교(본교) 학부1기타기관130609750000000
5교사대생튜터링장학사업2022정기배정11한일장신대학교(본교) 학부1기타기관2070017500000000
6교사대생튜터링장학사업2022정기배정11서울교육대학교(본교) 학부1기타기관1840900000000
7교사대생튜터링장학사업2022정기배정11춘해보건대학교(본교)1기타기관103003750000000
8교사대생튜터링장학사업2022정기배정11성균관대학교(본교) 학부1기타기관303212000000120000000
9교사대생튜터링장학사업2022정기배정11목포해양대학교(본교) 학부1기타기관2060015000000000
상품명배정년도배정구분코드배정일련번호배정학기대학명신청일련번호근로장학기관분류근로인원수근로예상시간수예상국고금액(원)예상대응투자금액(원)급여금액(원)
168교사대생튜터링장학사업2022정기배정11부산교육대학교(본교) 학부1기타기관3030011250000000
169교사대생튜터링장학사업2022정기배정11안동대학교(본교) 학부1기타기관4030015000000000
170교사대생튜터링장학사업2022정기배정11청주대학교(본교) 학부1기타기관30104039000000000
171교사대생튜터링장학사업2022정기배정11영산대학교(본교) 학부1기타기관202005000000000
172교사대생튜터링장학사업2022정기배정11선문대학교(본교) 학부1기타기관7035030625000000
173교사대생튜터링장학사업2022정기배정11한국항공대학교(본교) 학부1기타기관94104612500000
174교사대생튜터링장학사업2022정기배정11인천대학교(본교) 학부1기타기관7030026250000000
175교사대생튜터링장학사업2022정기배정11대구경북과학기술원(본교) 학부1기타기관20200000
176교사대생튜터링장학사업2022정기배정11가톨릭상지대학교(본교)1기타기관10110000
177교사대생튜터링장학사업2022정기배정11삼육보건대학교1기타기관10300000