Overview

Dataset statistics

Number of variables3
Number of observations103
Missing cells0
Missing cells (%)0.0%
Duplicate rows18
Duplicate rows (%)17.5%
Total size in memory2.7 KiB
Average record size in memory27.3 B

Variable types

Numeric1
Categorical1
DateTime1

Dataset

Description학교에서 진행하는 수업이외에 교원의 교외에서 수행한 업무 이력 관리를 위해 사용하는 데이터 중 개인정보를 제외한 년도, 학기, 처리일자 제공
URLhttps://www.data.go.kr/data/15093798/fileData.do

Alerts

Dataset has 18 (17.5%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 18:19:24.985084
Analysis finished2023-12-12 18:19:25.360969
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년도
Real number (ℝ)

Distinct6
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2014.2427
Minimum2013
Maximum2018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T03:19:25.473398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2013
5-th percentile2013
Q12014
median2014
Q32015
95-th percentile2016.9
Maximum2018
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0888564
Coefficient of variation (CV)0.00054057854
Kurtosis1.3677167
Mean2014.2427
Median Absolute Deviation (MAD)1
Skewness1.1266187
Sum207467
Variance1.1856082
MonotonicityNot monotonic
2023-12-13T03:19:25.597918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2014 46
44.7%
2013 25
24.3%
2015 21
20.4%
2017 5
 
4.9%
2016 5
 
4.9%
2018 1
 
1.0%
ValueCountFrequency (%)
2013 25
24.3%
2014 46
44.7%
2015 21
20.4%
2016 5
 
4.9%
2017 5
 
4.9%
2018 1
 
1.0%
ValueCountFrequency (%)
2018 1
 
1.0%
2017 5
 
4.9%
2016 5
 
4.9%
2015 21
20.4%
2014 46
44.7%
2013 25
24.3%

학기
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
3
53 
1
28 
2
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row2
5th row3

Common Values

ValueCountFrequency (%)
3 53
51.5%
1 28
27.2%
2 22
21.4%

Length

2023-12-13T03:19:26.073110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:19:26.218316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 53
51.5%
1 28
27.2%
2 22
21.4%
Distinct54
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Memory size956.0 B
Minimum2013-04-30 00:00:00
Maximum2019-05-21 00:00:00
2023-12-13T03:19:26.382610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:19:26.583879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-13T03:19:25.073514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:19:26.716318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도학기처리일자
년도1.0000.4660.880
학기0.4661.0000.989
처리일자0.8800.9891.000
2023-12-13T03:19:26.840341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도학기
년도1.0000.439
학기0.4391.000

Missing values

2023-12-13T03:19:25.218540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:19:25.320782image/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

년도학기처리일자
0201312013-04-30
1201312013-06-21
2201312013-08-08
3201322013-08-09
4201332013-11-07
5201332013-11-12
6201332013-12-03
7201332013-12-03
8201332013-12-03
9201332013-12-06
년도학기처리일자
93201432018-10-05
94201632018-10-05
95201712018-10-05
96201412018-10-05
97201432018-10-05
98201432018-10-05
99201622018-10-05
100201712018-10-05
101201722019-05-21
102201722019-05-21

Duplicate rows

Most frequently occurring

년도학기처리일자# duplicates
11201432018-10-059
13201522015-07-287
4201412014-04-146
3201332013-12-195
15201632018-10-054
0201332013-12-033
2201332013-12-123
5201412014-05-133
12201512015-05-183
14201522015-08-173