Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory712.9 KiB
Average record size in memory73.0 B

Variable types

Categorical3
DateTime3
Text1
Boolean1

Dataset

Description대학생 청소년교육지원장학금 멘토링 운영을 위한 학업시간표 관련 기본 정보 - "장학신청번호"는 장학금 신청 시 부여되는 시스템 고유 값으로 매핑할 수 있는 정보가 존재하지 않음
URLhttps://www.data.go.kr/data/15070512/fileData.do

Alerts

수업구분코드 has constant value ""Constant
학업시각기준값 has constant value ""Constant
학업시각선택여부 has constant value ""Constant

Reproduction

Analysis started2023-12-12 12:33:38.230392
Analysis finished2023-12-12 12:33:38.963130
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2314 
2168 
2141 
2116 
1100 
Other values (2)
 
161

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2314
23.1%
2168
21.7%
2141
21.4%
2116
21.2%
1100
11.0%
106
 
1.1%
55
 
0.5%

Length

2023-12-12T21:33:39.049233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:33:39.211706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2314
23.1%
2168
21.7%
2141
21.4%
2116
21.2%
1100
11.0%
106
 
1.1%
55
 
0.5%
Distinct68
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-12-12 07:00:00
Maximum2023-12-12 23:45:00
2023-12-12T21:33:39.411755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:33:39.613328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct1422
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T21:33:40.095076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters130000
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)0.6%

Sample

1st rowJ201813041415
2nd rowJ201813070967
3rd rowJ201813239226
4th rowJ201813055656
5th rowJ201813167389
ValueCountFrequency (%)
j201813052578 25
 
0.2%
j201813069394 25
 
0.2%
j201813239707 21
 
0.2%
j201813068786 20
 
0.2%
j201813070713 20
 
0.2%
j201813214865 19
 
0.2%
j201813150928 19
 
0.2%
j201813239248 19
 
0.2%
j201813053564 18
 
0.2%
j201813028123 18
 
0.2%
Other values (1412) 9796
98.0%
2023-12-12T21:33:40.738396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 24530
18.9%
0 20596
15.8%
2 17082
13.1%
8 15318
11.8%
3 14553
11.2%
J 10000
7.7%
6 6387
 
4.9%
5 5953
 
4.6%
9 5873
 
4.5%
7 5548
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120000
92.3%
Uppercase Letter 10000
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 24530
20.4%
0 20596
17.2%
2 17082
14.2%
8 15318
12.8%
3 14553
12.1%
6 6387
 
5.3%
5 5953
 
5.0%
9 5873
 
4.9%
7 5548
 
4.6%
4 4160
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
J 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 120000
92.3%
Latin 10000
 
7.7%

Most frequent character per script

Common
ValueCountFrequency (%)
1 24530
20.4%
0 20596
17.2%
2 17082
14.2%
8 15318
12.8%
3 14553
12.1%
6 6387
 
5.3%
5 5953
 
5.0%
9 5873
 
4.9%
7 5548
 
4.6%
4 4160
 
3.5%
Latin
ValueCountFrequency (%)
J 10000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 130000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 24530
18.9%
0 20596
15.8%
2 17082
13.1%
8 15318
11.8%
3 14553
11.2%
J 10000
7.7%
6 6387
 
4.9%
5 5953
 
4.6%
9 5873
 
4.5%
7 5548
 
4.3%

수업구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
정기학기
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정기학기 10000
100.0%

Length

2023-12-12T21:33:40.963536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:33:41.113317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정기학기 10000
100.0%

학업시각기준값
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
15
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row15
2nd row15
3rd row15
4th row15
5th row15

Common Values

ValueCountFrequency (%)
15 10000
100.0%

Length

2023-12-12T21:33:41.279505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:33:41.432965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
15 10000
100.0%

학업시각선택여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
10000 
ValueCountFrequency (%)
True 10000
100.0%
2023-12-12T21:33:41.565639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct1370
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-02-28 02:19:00
Maximum2018-10-05 14:46:00
2023-12-12T21:33:41.724526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:33:41.943413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct1370
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-02-28 02:19:00
Maximum2018-10-05 14:46:00
2023-12-12T21:33:42.149307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:33:42.431723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Correlations

2023-12-12T21:33:42.746072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
요일구분코드학업시각
요일구분코드1.0000.272
학업시각0.2721.000

Missing values

2023-12-12T21:33:38.674557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:33:38.868083image/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

요일구분코드학업시각장학신청번호수업구분코드학업시각기준값학업시각선택여부최초등록일시최종변경일시
2859215:15J201813041415정기학기15Y2018-03-13 21:192018-03-13 21:19
3683916:15J201813070967정기학기15Y2018-03-20 20:142018-03-20 20:14
6049214:45J201813239226정기학기15Y2018-03-28 11:552018-03-28 11:55
4321211:30J201813055656정기학기15Y2018-03-13 00:232018-03-13 00:23
778513:15J201813167389정기학기15Y2018-03-26 10:092018-03-26 10:09
2212515:30J201813056238정기학기15Y2018-03-11 16:502018-03-11 16:50
5322415:30J201812903193정기학기15Y2018-03-07 23:222018-03-07 23:22
203914:30J201813069027정기학기15Y2018-03-16 15:452018-03-16 15:45
6797621:30J201813070744정기학기15Y2018-03-27 22:312018-03-27 22:31
3963613:00J201813053852정기학기15Y2018-03-12 22:032018-03-12 22:03
요일구분코드학업시각장학신청번호수업구분코드학업시각기준값학업시각선택여부최초등록일시최종변경일시
6683215:15J201813070148정기학기15Y2018-03-21 22:452018-03-21 22:45
6626815:15J201813239495정기학기15Y2018-04-04 21:042018-04-04 21:04
3570616:15J201813237752정기학기15Y2018-04-06 18:352018-04-06 18:35
9196711:00J201813059258정기학기15Y2018-03-12 22:162018-03-12 22:16
879216:45J201813222282정기학기15Y2018-03-21 21:272018-03-21 21:27
4947517:15J201812934424정기학기15Y2018-03-09 13:242018-03-09 13:24
6895311:45J201812922009정기학기15Y2018-03-09 01:392018-03-09 01:39
276312:00J201813059315정기학기15Y2018-03-12 22:332018-03-12 22:33
2433811:15J201812859507정기학기15Y2018-03-12 23:312018-03-12 23:31
7910317:15J201813069668정기학기15Y2018-09-05 23:332018-09-05 23:33