Overview

Dataset statistics

Number of variables16
Number of observations327
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory43.9 KiB
Average record size in memory137.4 B

Variable types

Categorical7
Text1
DateTime3
Numeric5

Dataset

Description대학생 청소년교육지원장학금 교부금 운영 계획 관리 정보: 상품명, 배정년도, 배정구분, 배정학기, 대학명, 근로장학기관분류, 변경일시, 근로인원수, 근로예상시간수, 예상국고금액, 등록일시 등에 대한 데이터
Author한국장학재단
URLhttps://www.data.go.kr/data/15070072/fileData.do

Alerts

상품코드 has constant value ""Constant
배정년도 has constant value ""Constant
신청일련번호 has constant value ""Constant
근로장학기관분류코드 has constant value ""Constant
배정학기 is highly overall correlated with 배정일련번호High correlation
배정일련번호 is highly overall correlated with 배정학기High correlation
근로인원수 is highly overall correlated with 예상국고금액High correlation
근로예상시간수 is highly overall correlated with 예상국고금액High correlation
예상국고금액 is highly overall correlated with 근로인원수 and 1 other fieldsHigh correlation
예상대응투자금액 has 301 (92.0%) zerosZeros
급여금액 has 295 (90.2%) zerosZeros

Reproduction

Analysis started2023-12-12 16:33:49.176367
Analysis finished2023-12-12 16:33:52.478466
Duration3.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상품코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
대학생 청소년교육지원장학금
327 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대학생 청소년교육지원장학금
2nd row대학생 청소년교육지원장학금
3rd row대학생 청소년교육지원장학금
4th row대학생 청소년교육지원장학금
5th row대학생 청소년교육지원장학금

Common Values

ValueCountFrequency (%)
대학생 청소년교육지원장학금 327
100.0%

Length

2023-12-13T01:33:52.543710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:33:52.656170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대학생 327
50.0%
청소년교육지원장학금 327
50.0%

배정년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2019
327 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019
2nd row2019
3rd row2019
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2019 327
100.0%

Length

2023-12-13T01:33:52.762028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:33:52.884879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 327
100.0%

배정구분코드
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
정기배정
209 
추가배정
118 

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 209
63.9%
추가배정 118
36.1%

Length

2023-12-13T01:33:52.999958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:33:53.097916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정기배정 209
63.9%
추가배정 118
36.1%

배정일련번호
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
1
286 
2
41 

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 (%)
1 286
87.5%
2 41
 
12.5%

Length

2023-12-13T01:33:53.220580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:33:53.347345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 286
87.5%
2 41
 
12.5%

배정학기
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
1
286 
2
41 

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 (%)
1 286
87.5%
2 41
 
12.5%

Length

2023-12-13T01:33:53.457859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:33:53.579558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 286
87.5%
2 41
 
12.5%

대학코드
Text

Distinct165
Distinct (%)50.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-13T01:33:53.752699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length12.565749
Min length5

Characters and Unicode

Total characters4109
Distinct characters158
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

Unique81 ?
Unique (%)24.8%

Sample

1st row이화여자대학교(본교) 학부
2nd row경남과학기술대학교(본교) 학부
3rd row동의과학대학교(본교)
4th row서울여자간호대학교(본교)
5th row신경대학교
ValueCountFrequency (%)
학부 274
45.2%
광운대학교(본교 8
 
1.3%
강원대학교(본교 7
 
1.2%
목포대학교(본교 7
 
1.2%
우석대학교(본교 5
 
0.8%
영남대학교(본교 5
 
0.8%
조선대학교(본교 5
 
0.8%
경일대학교(본교 5
 
0.8%
나사렛대학교(본교 5
 
0.8%
서울시립대학교(본교 5
 
0.8%
Other values (159) 280
46.2%
2023-12-13T01:33:54.196386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 627
15.3%
교 626
15.2%
대 344
 
8.4%
( 317
 
7.7%
) 317
 
7.7%
부 290
 
7.1%
본 289
 
7.0%
279
 
6.8%
한 35
 
0.9%
경 32
 
0.8%
Other values (148) 953
23.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3196
77.8%
Open Punctuation 317
 
7.7%
Close Punctuation 317
 
7.7%
Space Separator 279
 
6.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 627
19.6%
교 626
19.6%
대 344
 
10.8%
부 290
 
9.1%
본 289
 
9.0%
한 35
 
1.1%
경 32
 
1.0%
서 30
 
0.9%
국 26
 
0.8%
원 26
 
0.8%
Other values (145) 871
27.3%
Open Punctuation
ValueCountFrequency (%)
( 317
100.0%
Close Punctuation
ValueCountFrequency (%)
) 317
100.0%
Space Separator
ValueCountFrequency (%)
279
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3196
77.8%
Common 913
 
22.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 627
19.6%
교 626
19.6%
대 344
 
10.8%
부 290
 
9.1%
본 289
 
9.0%
한 35
 
1.1%
경 32
 
1.0%
서 30
 
0.9%
국 26
 
0.8%
원 26
 
0.8%
Other values (145) 871
27.3%
Common
ValueCountFrequency (%)
( 317
34.7%
) 317
34.7%
279
30.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3196
77.8%
ASCII 913
 
22.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 627
19.6%
교 626
19.6%
대 344
 
10.8%
부 290
 
9.1%
본 289
 
9.0%
한 35
 
1.1%
경 32
 
1.0%
서 30
 
0.9%
국 26
 
0.8%
원 26
 
0.8%
Other values (145) 871
27.3%
ASCII
ValueCountFrequency (%)
( 317
34.7%
) 317
34.7%
279
30.6%

신청일련번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
1
327 

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 (%)
1 327
100.0%

Length

2023-12-13T01:33:54.345142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:33:54.451183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 327
100.0%

근로장학기관분류코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
기타기관
327 

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 327
100.0%

Length

2023-12-13T01:33:54.550722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:33:54.643704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타기관 327
100.0%

변경상세일시
Date

Distinct314
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2019-02-14 13:30:00
Maximum2019-12-12 16:54:00
2023-12-13T01:33:54.785282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:33:54.961586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

근로인원수
Real number (ℝ)

HIGH CORRELATION 

Distinct70
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.299694
Minimum0
Maximum450
Zeros3
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-13T01:33:55.115136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.3
Q115
median30
Q360
95-th percentile207
Maximum450
Range450
Interquartile range (IQR)45

Descriptive statistics

Standard deviation80.70454
Coefficient of variation (CV)1.4084637
Kurtosis8.897808
Mean57.299694
Median Absolute Deviation (MAD)20
Skewness2.8449855
Sum18737
Variance6513.2228
MonotonicityNot monotonic
2023-12-13T01:33:55.279872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 39
 
11.9%
20 30
 
9.2%
10 25
 
7.6%
40 20
 
6.1%
15 19
 
5.8%
50 15
 
4.6%
5 11
 
3.4%
100 9
 
2.8%
60 8
 
2.4%
2 8
 
2.4%
Other values (60) 143
43.7%
ValueCountFrequency (%)
0 3
 
0.9%
1 2
 
0.6%
2 8
2.4%
3 4
 
1.2%
4 6
1.8%
5 11
3.4%
6 5
1.5%
7 7
2.1%
8 5
1.5%
9 3
 
0.9%
ValueCountFrequency (%)
450 2
 
0.6%
400 7
2.1%
300 1
 
0.3%
290 1
 
0.3%
270 1
 
0.3%
250 1
 
0.3%
245 1
 
0.3%
220 1
 
0.3%
210 2
 
0.6%
200 6
1.8%

근로예상시간수
Real number (ℝ)

HIGH CORRELATION 

Distinct89
Distinct (%)27.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean291.92049
Minimum0
Maximum2160
Zeros3
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-13T01:33:55.460149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile48
Q1147.5
median240
Q3400
95-th percentile800
Maximum2160
Range2160
Interquartile range (IQR)252.5

Descriptive statistics

Standard deviation234.78537
Coefficient of variation (CV)0.8042785
Kurtosis12.341591
Mean291.92049
Median Absolute Deviation (MAD)120
Skewness2.4176368
Sum95458
Variance55124.172
MonotonicityNot monotonic
2023-12-13T01:33:55.968691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200 27
 
8.3%
300 25
 
7.6%
150 24
 
7.3%
450 23
 
7.0%
250 20
 
6.1%
400 17
 
5.2%
900 14
 
4.3%
100 12
 
3.7%
50 12
 
3.7%
500 11
 
3.4%
Other values (79) 142
43.4%
ValueCountFrequency (%)
0 3
0.9%
15 1
 
0.3%
19 1
 
0.3%
20 3
0.9%
24 1
 
0.3%
25 2
0.6%
30 1
 
0.3%
31 1
 
0.3%
32 1
 
0.3%
35 1
 
0.3%
ValueCountFrequency (%)
2160 1
 
0.3%
950 1
 
0.3%
900 14
4.3%
800 2
 
0.6%
720 1
 
0.3%
700 5
 
1.5%
640 2
 
0.6%
600 6
1.8%
560 1
 
0.3%
527 1
 
0.3%

예상국고금액
Real number (ℝ)

HIGH CORRELATION 

Distinct168
Distinct (%)51.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7605729 × 108
Minimum0
Maximum3.36 × 109
Zeros3
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-13T01:33:56.114047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6300000
Q125200000
median63000000
Q31.89 × 108
95-th percentile7.0875 × 108
Maximum3.36 × 109
Range3.36 × 109
Interquartile range (IQR)1.638 × 108

Descriptive statistics

Standard deviation3.4917168 × 108
Coefficient of variation (CV)1.9832844
Kurtosis33.122919
Mean1.7605729 × 108
Median Absolute Deviation (MAD)47250000
Skewness5.0593144
Sum5.7570734 × 1010
Variance1.2192086 × 1017
MonotonicityNot monotonic
2023-12-13T01:33:56.266492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31500000 13
 
4.0%
94500000 11
 
3.4%
189000000 9
 
2.8%
42000000 7
 
2.1%
47250000 7
 
2.1%
63000000 6
 
1.8%
78750000 6
 
1.8%
420000000 6
 
1.8%
25200000 6
 
1.8%
105000000 6
 
1.8%
Other values (158) 250
76.5%
ValueCountFrequency (%)
0 3
0.9%
1260000 1
 
0.3%
1890000 1
 
0.3%
2100000 1
 
0.3%
2572500 1
 
0.3%
2992500 1
 
0.3%
3150000 2
0.6%
4200000 2
0.6%
4987500 1
 
0.3%
5670000 2
0.6%
ValueCountFrequency (%)
3360000000 1
0.3%
2520000000 1
0.3%
2100000000 1
0.3%
2079000000 1
0.3%
1680000000 1
0.3%
1417500000 1
0.3%
1285200000 1
0.3%
1050000000 1
0.3%
1039500000 1
0.3%
992250000 1
0.3%

예상대응투자금액
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5648440.4
Minimum0
Maximum4.2 × 108
Zeros301
Zeros (%)92.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-13T01:33:56.403771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7392000
Maximum4.2 × 108
Range4.2 × 108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation33502135
Coefficient of variation (CV)5.9312187
Kurtosis84.151055
Mean5648440.4
Median Absolute Deviation (MAD)0
Skewness8.3554338
Sum1.84704 × 109
Variance1.1223931 × 1015
MonotonicityNot monotonic
2023-12-13T01:33:56.525539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 301
92.0%
100800000 3
 
0.9%
2500000 2
 
0.6%
22500000 2
 
0.6%
147000000 1
 
0.3%
70875000 1
 
0.3%
168000000 1
 
0.3%
900000 1
 
0.3%
12500000 1
 
0.3%
1500000 1
 
0.3%
Other values (13) 13
 
4.0%
ValueCountFrequency (%)
0 301
92.0%
900000 1
 
0.3%
1500000 1
 
0.3%
1700000 1
 
0.3%
1875000 1
 
0.3%
2250000 1
 
0.3%
2500000 2
 
0.6%
4000000 1
 
0.3%
5040000 1
 
0.3%
8400000 1
 
0.3%
ValueCountFrequency (%)
420000000 1
 
0.3%
242550000 1
 
0.3%
178500000 1
 
0.3%
168000000 1
 
0.3%
147000000 1
 
0.3%
132300000 1
 
0.3%
100800000 3
0.9%
70875000 1
 
0.3%
68250000 1
 
0.3%
22500000 2
0.6%

급여금액
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean356308.26
Minimum0
Maximum38000000
Zeros295
Zeros (%)90.2%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-13T01:33:56.650571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile600000
Maximum38000000
Range38000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2859086.2
Coefficient of variation (CV)8.0241928
Kurtosis135.97827
Mean356308.26
Median Absolute Deviation (MAD)0
Skewness11.344989
Sum1.165128 × 108
Variance8.1743737 × 1012
MonotonicityNot monotonic
2023-12-13T01:33:56.771356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 295
90.2%
500000 7
 
2.1%
1000000 5
 
1.5%
600000 4
 
1.2%
1750000 3
 
0.9%
300000 2
 
0.6%
200000 2
 
0.6%
4550000 1
 
0.3%
31462800 1
 
0.3%
7500000 1
 
0.3%
Other values (6) 6
 
1.8%
ValueCountFrequency (%)
0 295
90.2%
200000 2
 
0.6%
300000 2
 
0.6%
400000 1
 
0.3%
450000 1
 
0.3%
500000 7
 
2.1%
600000 4
 
1.2%
1000000 5
 
1.5%
1500000 1
 
0.3%
1750000 3
 
0.9%
ValueCountFrequency (%)
38000000 1
 
0.3%
31462800 1
 
0.3%
13000000 1
 
0.3%
7500000 1
 
0.3%
4550000 1
 
0.3%
2500000 1
 
0.3%
1750000 3
0.9%
1500000 1
 
0.3%
1000000 5
1.5%
600000 4
1.2%

최초등록일시
Date

Distinct234
Distinct (%)71.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2019-02-14 13:30:00
Maximum2019-12-12 16:33:00
2023-12-13T01:33:56.913820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:33:57.053876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

최종변경일시
Date

Distinct314
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2019-02-14 13:30:00
Maximum2019-12-12 16:54:00
2023-12-13T01:33:57.180860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:33:57.325808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-13T01:33:51.438876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:33:49.669892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:33:50.090234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:33:50.514766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:33:50.985768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:33:51.540818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:33:49.752971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:33:50.171009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:33:50.629121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:33:51.057551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:33:51.694457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:33:49.833253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:33:50.252336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:33:50.706521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:33:51.133896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:33:51.824016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:33:49.927447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:33:50.343670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:33:50.807843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:33:51.233466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:33:51.940852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:33:50.004183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:33:50.426044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:33:50.890760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:33:51.330087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:33:57.437808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
배정구분코드배정일련번호배정학기근로인원수근로예상시간수예상국고금액예상대응투자금액급여금액
배정구분코드1.0000.6980.6980.0860.5690.2370.1300.000
배정일련번호0.6981.0001.0000.1170.3410.0000.2860.000
배정학기0.6981.0001.0000.1170.3410.0000.2860.000
근로인원수0.0860.1170.1171.0000.0000.7010.5160.332
근로예상시간수0.5690.3410.3410.0001.0000.4260.0000.000
예상국고금액0.2370.0000.0000.7010.4261.0000.0000.205
예상대응투자금액0.1300.2860.2860.5160.0000.0001.0000.000
급여금액0.0000.0000.0000.3320.0000.2050.0001.000
2023-12-13T01:33:57.562175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
배정구분코드배정학기배정일련번호
배정구분코드1.0000.4920.492
배정학기0.4921.0000.986
배정일련번호0.4920.9861.000
2023-12-13T01:33:57.653336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
근로인원수근로예상시간수예상국고금액예상대응투자금액급여금액배정구분코드배정일련번호배정학기
근로인원수1.000-0.0160.8140.1880.0280.0680.1130.113
근로예상시간수-0.0161.0000.518-0.0690.1220.4100.2440.244
예상국고금액0.8140.5181.0000.1320.0910.1760.0000.000
예상대응투자금액0.188-0.0690.1321.0000.2350.1380.3040.304
급여금액0.0280.1220.0910.2351.0000.0000.0000.000
배정구분코드0.0680.4100.1760.1380.0001.0000.4920.492
배정일련번호0.1130.2440.0000.3040.0000.4921.0000.986
배정학기0.1130.2440.0000.3040.0000.4920.9861.000

Missing values

2023-12-13T01:33:52.145870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:33:52.374897image/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

상품코드배정년도배정구분코드배정일련번호배정학기대학코드신청일련번호근로장학기관분류코드변경상세일시근로인원수근로예상시간수예상국고금액예상대응투자금액급여금액최초등록일시최종변경일시
0대학생 청소년교육지원장학금2019정기배정11이화여자대학교(본교) 학부1기타기관2019-02-14 16:4190220207900000002019-02-14 16:412019-02-14 16:41
1대학생 청소년교육지원장학금2019정기배정11경남과학기술대학교(본교) 학부1기타기관2019-02-17 12:153030094500000002019-02-17 12:152019-02-17 12:15
2대학생 청소년교육지원장학금2019정기배정11동의과학대학교(본교)1기타기관2019-02-18 11:002045094500000002019-02-18 11:002019-02-18 11:00
3대학생 청소년교육지원장학금2019정기배정11서울여자간호대학교(본교)1기타기관2019-02-18 17:4923507350000002019-02-18 17:492019-02-18 17:49
4대학생 청소년교육지원장학금2019정기배정11신경대학교1기타기관2019-02-19 14:101550078750000002019-02-19 14:102019-02-19 14:10
5대학생 청소년교육지원장학금2019정기배정11전남대학교(본교) 학부1기타기관2019-02-19 14:2620020042000000042000000002019-02-19 14:262019-02-19 14:26
6대학생 청소년교육지원장학금2019정기배정11한국해양대학교(본교) 학부1기타기관2019-02-19 16:34100400420000000002019-02-19 16:342019-02-19 16:34
7대학생 청소년교육지원장학금2019정기배정11신성대학교(본교)1기타기관2019-02-19 22:413010031500000002019-02-19 22:412019-02-19 22:41
8대학생 청소년교육지원장학금2019정기배정11강원대학교(본교) 학부1기타기관2019-02-22 11:307033024255000024255000002019-02-22 11:012019-02-22 11:30
9대학생 청소년교육지원장학금2019추가배정11극동대학교(본교) 학부1기타기관2019-08-08 16:1724208820000002019-08-08 16:112019-08-08 16:17
상품코드배정년도배정구분코드배정일련번호배정학기대학코드신청일련번호근로장학기관분류코드변경상세일시근로인원수근로예상시간수예상국고금액예상대응투자금액급여금액최초등록일시최종변경일시
317대학생 청소년교육지원장학금2019추가배정11덕성여자대학교(본교) 학부1기타기관2019-08-16 09:4031805670000002019-08-16 09:402019-08-16 09:40
318대학생 청소년교육지원장학금2019추가배정11동의대학교(본교) 학부1기타기관2019-08-16 14:2180150126000000002019-08-16 14:212019-08-16 14:21
319대학생 청소년교육지원장학금2019추가배정11인제대학교(본교) 학부1기타기관2019-08-16 15:4530206300000002019-08-16 15:452019-08-16 15:45
320대학생 청소년교육지원장학금2019추가배정11서울과학기술대학교(본교) 학부1기타기관2019-08-27 13:451717631416000002019-08-16 10:382019-08-27 13:45
321대학생 청소년교육지원장학금2019추가배정11공주교육대학교(본교) 학부1기타기관2019-09-05 11:461016016800000002019-09-05 11:462019-09-05 11:46
322대학생 청소년교육지원장학금2019추가배정22서울시립대학교(본교) 학부1기타기관2019-11-18 10:394004820160000010080000002019-11-15 13:292019-11-18 10:39
323대학생 청소년교육지원장학금2019추가배정22계원예술대학교(본교)1기타기관2019-11-18 10:5032176835500002019-11-18 10:502019-11-18 10:50
324대학생 청소년교육지원장학금2019추가배정22목포대학교(본교) 학부1기타기관2019-11-20 08:412113629988000002019-11-20 08:402019-11-20 08:41
325대학생 청소년교육지원장학금2019추가배정22호남대학교(본교) 학부1기타기관2019-11-20 14:2113550708750007087500002019-11-20 14:202019-11-20 14:21
326대학생 청소년교육지원장학금2019추가배정22나사렛대학교(본교) 학부1기타기관2019-11-26 10:38428035280000002019-11-14 10:022019-11-26 10:38