Overview

Dataset statistics

Number of variables4
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory410.2 KiB
Average record size in memory42.0 B

Variable types

Categorical1
Numeric2
DateTime1

Dataset

Description한국콘텐츠진흥원의 콘텐츠 아카데미에서 운영하고 있는 강의 정보에 관한 내용들을 설명하고 있는 데이터 자료를 제공합니다.
URLhttps://www.data.go.kr/data/15041616/fileData.do

Alerts

구분 has constant value ""Constant
횟수 is highly skewed (γ1 = 30.8575741)Skewed

Reproduction

Analysis started2023-10-09 18:54:10.719280
Analysis finished2023-10-09 18:54:12.199020
Duration1.48 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

CONSTANT 

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

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
열린강좌 10000
100.0%

Length

2023-10-10T03:54:12.323613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-10T03:54:12.531659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
열린강좌 10000
100.0%

일련번호
Real number (ℝ)

Distinct596
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean303.9788
Minimum1
Maximum822
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-10-10T03:54:12.794095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile39
Q197
median236
Q3457
95-th percentile730
Maximum822
Range821
Interquartile range (IQR)360

Descriptive statistics

Standard deviation221.06556
Coefficient of variation (CV)0.72724006
Kurtosis-1.0459733
Mean303.9788
Median Absolute Deviation (MAD)181
Skewness0.39325622
Sum3039788
Variance48869.982
MonotonicityNot monotonic
2023-10-10T03:54:13.098137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129 124
 
1.2%
33 121
 
1.2%
92 112
 
1.1%
434 107
 
1.1%
62 102
 
1.0%
468 100
 
1.0%
133 97
 
1.0%
132 88
 
0.9%
88 84
 
0.8%
454 81
 
0.8%
Other values (586) 8984
89.8%
ValueCountFrequency (%)
1 6
0.1%
2 7
0.1%
3 10
0.1%
4 7
0.1%
5 6
0.1%
6 6
0.1%
7 5
0.1%
8 9
0.1%
9 7
0.1%
10 2
 
< 0.1%
ValueCountFrequency (%)
822 1
 
< 0.1%
821 4
< 0.1%
820 5
0.1%
819 4
< 0.1%
818 2
 
< 0.1%
817 3
< 0.1%
816 5
0.1%
814 4
< 0.1%
813 4
< 0.1%
812 4
< 0.1%

뷰날짜
Date

Distinct1692
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2012-12-31 00:00:00
Maximum2018-10-22 00:00:00
2023-10-10T03:54:13.369344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-10T03:54:13.653970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

횟수
Real number (ℝ)

SKEWED 

Distinct82
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7218
Minimum0
Maximum731
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-10-10T03:54:13.948738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile10
Maximum731
Range731
Interquartile range (IQR)2

Descriptive statistics

Standard deviation12.898443
Coefficient of variation (CV)3.4656466
Kurtosis1357.2927
Mean3.7218
Median Absolute Deviation (MAD)1
Skewness30.857574
Sum37218
Variance166.36984
MonotonicityNot monotonic
2023-10-10T03:54:14.305846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 4481
44.8%
2 1995
20.0%
3 1084
 
10.8%
4 564
 
5.6%
5 551
 
5.5%
6 295
 
2.9%
7 191
 
1.9%
10 125
 
1.2%
8 115
 
1.1%
9 104
 
1.0%
Other values (72) 495
 
5.0%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 4481
44.8%
2 1995
20.0%
3 1084
 
10.8%
4 564
 
5.6%
5 551
 
5.5%
6 295
 
2.9%
7 191
 
1.9%
8 115
 
1.1%
9 104
 
1.0%
ValueCountFrequency (%)
731 1
< 0.1%
483 1
< 0.1%
314 1
< 0.1%
313 1
< 0.1%
304 1
< 0.1%
293 1
< 0.1%
249 1
< 0.1%
227 1
< 0.1%
216 1
< 0.1%
173 1
< 0.1%

Interactions

2023-10-10T03:54:11.520870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-10T03:54:11.141256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-10T03:54:11.691068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-10T03:54:11.312567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-10-10T03:54:14.521631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호횟수
일련번호1.0000.029
횟수0.0291.000
2023-10-10T03:54:14.681044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호횟수
일련번호1.0000.083
횟수0.0831.000

Missing values

2023-10-10T03:54:11.942967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-10-10T03:54:12.115163image/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

구분일련번호뷰날짜횟수
6635열린강좌1392014-06-261
98885열린강좌7852018-10-076
96654열린강좌1102018-09-095
35169열린강좌502016-05-071
36854열린강좌1942016-06-012
16061열린강좌1222015-01-141
11943열린강좌542014-10-163
73618열린강좌4352017-11-032
90599열린강좌5532018-06-305
58431열린강좌1542017-04-021
구분일련번호뷰날짜횟수
14092열린강좌1832014-12-021
7247열린강좌2222014-07-072
10638열린강좌1092014-09-123
1253열린강좌82012-12-31293
71927열린강좌5502017-10-126
21155열린강좌1052015-06-031
7008열린강좌482014-07-022
72369열린강좌3852017-10-183
89656열린강좌4572018-06-161
87408열린강좌5902018-05-121