Overview

Dataset statistics

Number of variables9
Number of observations657
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory48.9 KiB
Average record size in memory76.2 B

Variable types

Numeric4
Categorical3
Text2

Dataset

Description상주시 사이버정보화캠퍼스의 챕터정보 데이터로 사이버강좌번호, 사이버강좌명, 카테고리명, 플레이어명, 챔터번호, 챕터순서번호, 챕터명, 파일명, 총재생시간의 데이터가 있음
Author경상북도 상주시
URLhttps://www.data.go.kr/data/15089314/fileData.do

Alerts

플레이어명 has constant value ""Constant
사이버강좌명 is highly overall correlated with 사이버강좌 번호 and 2 other fieldsHigh correlation
카테고리명 is highly overall correlated with 사이버강좌 번호 and 2 other fieldsHigh correlation
사이버강좌 번호 is highly overall correlated with 챕터번호 and 2 other fieldsHigh correlation
챕터번호 is highly overall correlated with 사이버강좌 번호 and 2 other fieldsHigh correlation
챕터번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:06:48.219651
Analysis finished2023-12-12 09:06:51.200694
Duration2.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사이버강좌 번호
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.739726
Minimum1
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-12T18:06:51.282478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q19
median17
Q328
95-th percentile39
Maximum41
Range40
Interquartile range (IQR)19

Descriptive statistics

Standard deviation11.781192
Coefficient of variation (CV)0.62867472
Kurtosis-1.0691436
Mean18.739726
Median Absolute Deviation (MAD)10
Skewness0.28592638
Sum12312
Variance138.79648
MonotonicityIncreasing
2023-12-12T18:06:51.475600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
14 26
 
4.0%
1 23
 
3.5%
11 22
 
3.3%
4 22
 
3.3%
17 22
 
3.3%
12 22
 
3.3%
2 21
 
3.2%
20 21
 
3.2%
33 20
 
3.0%
18 20
 
3.0%
Other values (31) 438
66.7%
ValueCountFrequency (%)
1 23
3.5%
2 21
3.2%
3 19
2.9%
4 22
3.3%
5 19
2.9%
6 20
3.0%
7 20
3.0%
8 20
3.0%
9 12
1.8%
10 14
2.1%
ValueCountFrequency (%)
41 16
2.4%
40 15
2.3%
39 11
1.7%
38 12
1.8%
37 10
1.5%
36 11
1.7%
35 9
1.4%
34 16
2.4%
33 20
3.0%
32 13
2.0%

사이버강좌명
Categorical

HIGH CORRELATION 

Distinct41
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
포토샵 CS6 마스터하기
 
26
컴활1급 필기 1과목
 
23
프리미어프로 CS6
 
22
고도몰5로 쇼핑몰만들기
 
22
애프터이펙트 CS6
 
22
Other values (36)
542 

Length

Max length33
Median length23
Mean length14.476408
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row컴활1급 필기 1과목
2nd row컴활1급 필기 1과목
3rd row컴활1급 필기 1과목
4th row컴활1급 필기 1과목
5th row컴활1급 필기 1과목

Common Values

ValueCountFrequency (%)
포토샵 CS6 마스터하기 26
 
4.0%
컴활1급 필기 1과목 23
 
3.5%
프리미어프로 CS6 22
 
3.3%
고도몰5로 쇼핑몰만들기 22
 
3.3%
애프터이펙트 CS6 22
 
3.3%
컴활1급 실기 1과목 22
 
3.3%
컴활1급 필기 2과목 21
 
3.2%
컴퓨터그래픽스운용기능사 실기 21
 
3.2%
엑셀로 구현하는 빅데이터 분석 20
 
3.0%
UCC 제작 완벽가이드 20
 
3.0%
Other values (31) 438
66.7%

Length

2023-12-12T18:06:51.642806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
필기 107
 
5.5%
컴활1급 104
 
5.3%
사무자동화산업기사 84
 
4.3%
실기 72
 
3.7%
cs6 70
 
3.6%
쇼핑몰 65
 
3.3%
스마트스토어 65
 
3.3%
1과목 59
 
3.0%
포토샵 54
 
2.8%
2과목 50
 
2.6%
Other values (67) 1229
62.7%

카테고리명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
자격증
235 
프로그램
201 
그래픽
107 
사무자동화
79 
운영체제
 
20

Length

Max length5
Median length3
Mean length3.6225266
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자격증 235
35.8%
프로그램 201
30.6%
그래픽 107
16.3%
사무자동화 79
 
12.0%
운영체제 20
 
3.0%
웹프로그램 15
 
2.3%

Length

2023-12-12T18:06:51.856207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:06:52.044245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자격증 235
35.8%
프로그램 201
30.6%
그래픽 107
16.3%
사무자동화 79
 
12.0%
운영체제 20
 
3.0%
웹프로그램 15
 
2.3%

플레이어명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
HTML5플레이어
657 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowHTML5플레이어
2nd rowHTML5플레이어
3rd rowHTML5플레이어
4th rowHTML5플레이어
5th rowHTML5플레이어

Common Values

ValueCountFrequency (%)
HTML5플레이어 657
100.0%

Length

2023-12-12T18:06:52.215740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:06:52.341541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
html5플레이어 657
100.0%

챕터번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct657
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean334.89346
Minimum1
Maximum665
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-12T18:06:52.480911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile33.8
Q1165
median337
Q3501
95-th percentile632.2
Maximum665
Range664
Interquartile range (IQR)336

Descriptive statistics

Standard deviation192.50729
Coefficient of variation (CV)0.57483144
Kurtosis-1.1977485
Mean334.89346
Median Absolute Deviation (MAD)168
Skewness-0.023147097
Sum220025
Variance37059.056
MonotonicityNot monotonic
2023-12-12T18:06:52.671670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
282 1
 
0.2%
441 1
 
0.2%
443 1
 
0.2%
444 1
 
0.2%
445 1
 
0.2%
446 1
 
0.2%
447 1
 
0.2%
448 1
 
0.2%
449 1
 
0.2%
450 1
 
0.2%
Other values (647) 647
98.5%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
665 1
0.2%
664 1
0.2%
663 1
0.2%
662 1
0.2%
661 1
0.2%
660 1
0.2%
659 1
0.2%
658 1
0.2%
657 1
0.2%
656 1
0.2%

챕터순서번호
Real number (ℝ)

Distinct26
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2161339
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-12T18:06:52.850839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median9
Q313
95-th percentile19.2
Maximum26
Range25
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.6758621
Coefficient of variation (CV)0.6158615
Kurtosis-0.6460724
Mean9.2161339
Median Absolute Deviation (MAD)4
Skewness0.45837415
Sum6055
Variance32.21541
MonotonicityNot monotonic
2023-12-12T18:06:53.023447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 41
 
6.2%
2 41
 
6.2%
3 41
 
6.2%
4 41
 
6.2%
5 41
 
6.2%
6 41
 
6.2%
7 41
 
6.2%
8 40
 
6.1%
9 40
 
6.1%
10 38
 
5.8%
Other values (16) 252
38.4%
ValueCountFrequency (%)
1 41
6.2%
2 41
6.2%
3 41
6.2%
4 41
6.2%
5 41
6.2%
6 41
6.2%
7 41
6.2%
8 40
6.1%
9 40
6.1%
10 38
5.8%
ValueCountFrequency (%)
26 1
 
0.2%
25 1
 
0.2%
24 1
 
0.2%
23 2
 
0.3%
22 6
 
0.9%
21 8
1.2%
20 14
2.1%
19 17
2.6%
18 18
2.7%
17 19
2.9%

챕터명
Text

Distinct653
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2023-12-12T18:06:53.468946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length27
Mean length15.61035
Min length2

Characters and Unicode

Total characters10256
Distinct characters499
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique649 ?
Unique (%)98.8%

Sample

1st row컴퓨터활용능력 1급 시험 안내
2nd row컴퓨터의 원리
3rd row컴퓨터의 구성
4th row데이터의 표현
5th row컴활 필기 문제풀이1
ValueCountFrequency (%)
53
 
2.5%
스마트스토어 48
 
2.2%
2 44
 
2.0%
1 42
 
1.9%
및 34
 
1.6%
만들기 26
 
1.2%
사무자동화 23
 
1.1%
쇼핑몰 22
 
1.0%
실습 22
 
1.0%
산업기사 21
 
1.0%
Other values (926) 1820
84.5%
2023-12-12T18:06:54.179646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1501
 
14.6%
기 369
 
3.6%
이 325
 
3.2%
스 321
 
3.1%
트 177
 
1.7%
사 163
 
1.6%
- 156
 
1.5%
하 150
 
1.5%
: 144
 
1.4%
2 139
 
1.4%
Other values (489) 6811
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7502
73.1%
Space Separator 1501
 
14.6%
Decimal Number 433
 
4.2%
Other Punctuation 263
 
2.6%
Lowercase Letter 192
 
1.9%
Dash Punctuation 156
 
1.5%
Uppercase Letter 133
 
1.3%
Open Punctuation 32
 
0.3%
Close Punctuation 32
 
0.3%
Math Symbol 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 369
 
4.9%
이 325
 
4.3%
스 321
 
4.3%
트 177
 
2.4%
사 163
 
2.2%
하 150
 
2.0%
자 115
 
1.5%
터 103
 
1.4%
제 96
 
1.3%
상 93
 
1.2%
Other values (423) 5590
74.5%
Lowercase Letter
ValueCountFrequency (%)
t 33
17.2%
l 27
14.1%
m 23
12.0%
a 14
7.3%
p 13
 
6.8%
s 13
 
6.8%
i 11
 
5.7%
u 8
 
4.2%
v 8
 
4.2%
n 8
 
4.2%
Other values (13) 34
17.7%
Uppercase Letter
ValueCountFrequency (%)
H 19
14.3%
S 13
 
9.8%
Q 12
 
9.0%
G 10
 
7.5%
T 10
 
7.5%
C 10
 
7.5%
O 7
 
5.3%
E 6
 
4.5%
X 6
 
4.5%
D 6
 
4.5%
Other values (11) 34
25.6%
Decimal Number
ValueCountFrequency (%)
2 139
32.1%
1 134
30.9%
0 54
 
12.5%
3 39
 
9.0%
5 24
 
5.5%
6 17
 
3.9%
4 17
 
3.9%
7 6
 
1.4%
8 2
 
0.5%
9 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
: 144
54.8%
, 68
25.9%
/ 49
 
18.6%
. 1
 
0.4%
? 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 30
93.8%
[ 2
 
6.2%
Close Punctuation
ValueCountFrequency (%)
) 30
93.8%
] 2
 
6.2%
Space Separator
ValueCountFrequency (%)
1501
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%
Math Symbol
ValueCountFrequency (%)
+ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7502
73.1%
Common 2429
 
23.7%
Latin 325
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 369
 
4.9%
이 325
 
4.3%
스 321
 
4.3%
트 177
 
2.4%
사 163
 
2.2%
하 150
 
2.0%
자 115
 
1.5%
터 103
 
1.4%
제 96
 
1.3%
상 93
 
1.2%
Other values (423) 5590
74.5%
Latin
ValueCountFrequency (%)
t 33
 
10.2%
l 27
 
8.3%
m 23
 
7.1%
H 19
 
5.8%
a 14
 
4.3%
S 13
 
4.0%
p 13
 
4.0%
s 13
 
4.0%
Q 12
 
3.7%
i 11
 
3.4%
Other values (34) 147
45.2%
Common
ValueCountFrequency (%)
1501
61.8%
- 156
 
6.4%
: 144
 
5.9%
2 139
 
5.7%
1 134
 
5.5%
, 68
 
2.8%
0 54
 
2.2%
/ 49
 
2.0%
3 39
 
1.6%
( 30
 
1.2%
Other values (12) 115
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7502
73.1%
ASCII 2754
 
26.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1501
54.5%
- 156
 
5.7%
: 144
 
5.2%
2 139
 
5.0%
1 134
 
4.9%
, 68
 
2.5%
0 54
 
2.0%
/ 49
 
1.8%
3 39
 
1.4%
t 33
 
1.2%
Other values (56) 437
 
15.9%
Hangul
ValueCountFrequency (%)
기 369
 
4.9%
이 325
 
4.3%
스 321
 
4.3%
트 177
 
2.4%
사 163
 
2.2%
하 150
 
2.0%
자 115
 
1.5%
터 103
 
1.4%
제 96
 
1.3%
상 93
 
1.2%
Other values (423) 5590
74.5%

파일명
Text

Distinct174
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2023-12-12T18:06:54.654953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length6
Mean length6.8721461
Min length6

Characters and Unicode

Total characters4515
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique148 ?
Unique (%)22.5%

Sample

1st row01.mp4
2nd row02.mp4
3rd row03.mp4
4th row04.mp4
5th row05.mp4
ValueCountFrequency (%)
01.mp4 30
 
4.6%
04.mp4 30
 
4.6%
05.mp4 30
 
4.6%
06.mp4 30
 
4.6%
07.mp4 30
 
4.6%
09.mp4 30
 
4.6%
02.mp4 30
 
4.6%
03.mp4 30
 
4.6%
08.mp4 28
 
4.3%
10.mp4 28
 
4.3%
Other values (164) 361
54.9%
2023-12-12T18:06:55.333547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 739
16.4%
p 688
15.2%
m 667
14.8%
. 657
14.6%
0 401
8.9%
1 355
7.9%
2 137
 
3.0%
6 108
 
2.4%
c 89
 
2.0%
_ 84
 
1.9%
Other values (14) 590
13.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2080
46.1%
Lowercase Letter 1694
37.5%
Other Punctuation 657
 
14.6%
Connector Punctuation 84
 
1.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p 688
40.6%
m 667
39.4%
c 89
 
5.3%
s 62
 
3.7%
e 44
 
2.6%
l 36
 
2.1%
a 22
 
1.3%
r 22
 
1.3%
i 18
 
1.1%
u 18
 
1.1%
Other values (2) 28
 
1.7%
Decimal Number
ValueCountFrequency (%)
4 739
35.5%
0 401
19.3%
1 355
17.1%
2 137
 
6.6%
6 108
 
5.2%
3 82
 
3.9%
5 81
 
3.9%
7 61
 
2.9%
8 58
 
2.8%
9 58
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 657
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2821
62.5%
Latin 1694
37.5%

Most frequent character per script

Common
ValueCountFrequency (%)
4 739
26.2%
. 657
23.3%
0 401
14.2%
1 355
12.6%
2 137
 
4.9%
6 108
 
3.8%
_ 84
 
3.0%
3 82
 
2.9%
5 81
 
2.9%
7 61
 
2.2%
Other values (2) 116
 
4.1%
Latin
ValueCountFrequency (%)
p 688
40.6%
m 667
39.4%
c 89
 
5.3%
s 62
 
3.7%
e 44
 
2.6%
l 36
 
2.1%
a 22
 
1.3%
r 22
 
1.3%
i 18
 
1.1%
u 18
 
1.1%
Other values (2) 28
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4515
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 739
16.4%
p 688
15.2%
m 667
14.8%
. 657
14.6%
0 401
8.9%
1 355
7.9%
2 137
 
3.0%
6 108
 
2.4%
c 89
 
2.0%
_ 84
 
1.9%
Other values (14) 590
13.1%

총재생시간
Real number (ℝ)

Distinct518
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1348.7352
Minimum159
Maximum2755
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-12T18:06:55.555929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum159
5-th percentile633.2
Q11133
median1321
Q31565
95-th percentile2122.2
Maximum2755
Range2596
Interquartile range (IQR)432

Descriptive statistics

Standard deviation426.01323
Coefficient of variation (CV)0.31586129
Kurtosis0.50280324
Mean1348.7352
Median Absolute Deviation (MAD)231
Skewness0.1053541
Sum886119
Variance181487.27
MonotonicityNot monotonic
2023-12-12T18:06:55.765581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1312 5
 
0.8%
1375 4
 
0.6%
1243 4
 
0.6%
1236 4
 
0.6%
1265 4
 
0.6%
1356 3
 
0.5%
1174 3
 
0.5%
1192 3
 
0.5%
1553 3
 
0.5%
1397 3
 
0.5%
Other values (508) 621
94.5%
ValueCountFrequency (%)
159 1
0.2%
161 1
0.2%
202 1
0.2%
233 1
0.2%
236 1
0.2%
265 1
0.2%
272 1
0.2%
282 1
0.2%
318 1
0.2%
338 1
0.2%
ValueCountFrequency (%)
2755 1
0.2%
2566 1
0.2%
2561 1
0.2%
2502 1
0.2%
2455 1
0.2%
2434 1
0.2%
2364 1
0.2%
2347 1
0.2%
2345 1
0.2%
2336 1
0.2%

Interactions

2023-12-12T18:06:50.393540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:06:48.871833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:06:49.368950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:06:49.874804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:06:50.513957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:06:49.010801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:06:49.508419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:06:49.987251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:06:50.626807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:06:49.139087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:06:49.641728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:06:50.112686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:06:50.768828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:06:49.239394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:06:49.769855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:06:50.244724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:06:55.894172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사이버강좌 번호사이버강좌명카테고리명챕터번호챕터순서번호총재생시간
사이버강좌 번호1.0001.0000.8300.9740.2170.645
사이버강좌명1.0001.0001.0000.9960.0000.808
카테고리명0.8301.0001.0000.8520.0310.637
챕터번호0.9740.9960.8521.0000.2560.672
챕터순서번호0.2170.0000.0310.2561.0000.000
총재생시간0.6450.8080.6370.6720.0001.000
2023-12-12T18:06:56.021233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사이버강좌명카테고리명
사이버강좌명1.0000.973
카테고리명0.9731.000
2023-12-12T18:06:56.148361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사이버강좌 번호챕터번호챕터순서번호총재생시간사이버강좌명카테고리명
사이버강좌 번호1.0000.732-0.237-0.0570.9760.645
챕터번호0.7321.000-0.1950.2360.9360.666
챕터순서번호-0.237-0.1951.0000.0280.0000.000
총재생시간-0.0570.2360.0281.0000.4250.405
사이버강좌명0.9760.9360.0000.4251.0000.973
카테고리명0.6450.6660.0000.4050.9731.000

Missing values

2023-12-12T18:06:50.949910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:06:51.131186image/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

사이버강좌 번호사이버강좌명카테고리명플레이어명챕터번호챕터순서번호챕터명파일명총재생시간
01컴활1급 필기 1과목자격증HTML5플레이어2821컴퓨터활용능력 1급 시험 안내01.mp4814
11컴활1급 필기 1과목자격증HTML5플레이어2832컴퓨터의 원리02.mp41800
21컴활1급 필기 1과목자격증HTML5플레이어2843컴퓨터의 구성03.mp41611
31컴활1급 필기 1과목자격증HTML5플레이어2854데이터의 표현04.mp41282
41컴활1급 필기 1과목자격증HTML5플레이어2865컴활 필기 문제풀이105.mp41718
51컴활1급 필기 1과목자격증HTML5플레이어2876CPU(중앙처리장치)06.mp4940
61컴활1급 필기 1과목자격증HTML5플레이어2887기억장치07.mp41651
71컴활1급 필기 1과목자격증HTML5플레이어2898입출력장치08.mp42109
81컴활1급 필기 1과목자격증HTML5플레이어2909컴활 필기 문제풀이209.mp42265
91컴활1급 필기 1과목자격증HTML5플레이어29110소프트웨어10.mp41807
사이버강좌 번호사이버강좌명카테고리명플레이어명챕터번호챕터순서번호챕터명파일명총재생시간
64741스마트스토어 쇼핑몰 5.쇼핑몰 관리, 네이버 상품 최적화 2프로그램HTML5플레이어6397스마트스토어 - 상품이미지5_07.mp41247
64841스마트스토어 쇼핑몰 5.쇼핑몰 관리, 네이버 상품 최적화 2프로그램HTML5플레이어6408스마트스토어 - 상품상세설명5_08.mp41360
64941스마트스토어 쇼핑몰 5.쇼핑몰 관리, 네이버 상품 최적화 2프로그램HTML5플레이어6419스마트스토어 - 상세설명 작성 툴 스마트에디터 ONE5_09.mp4912
65041스마트스토어 쇼핑몰 5.쇼핑몰 관리, 네이버 상품 최적화 2프로그램HTML5플레이어64210스마트스토어 - 상세설명 미리보기 및 주의사항5_10.mp4756
65141스마트스토어 쇼핑몰 5.쇼핑몰 관리, 네이버 상품 최적화 2프로그램HTML5플레이어64311스마트스토어 - 상세설명 권장 크기5_11.mp4708
65241스마트스토어 쇼핑몰 5.쇼핑몰 관리, 네이버 상품 최적화 2프로그램HTML5플레이어64412스마트스토어 - 상품주요정보5_12.mp4836
65341스마트스토어 쇼핑몰 5.쇼핑몰 관리, 네이버 상품 최적화 2프로그램HTML5플레이어64513스마트스토어 - 상품정보제공5_13.mp4713
65441스마트스토어 쇼핑몰 5.쇼핑몰 관리, 네이버 상품 최적화 2프로그램HTML5플레이어64614스마트스토어 - 상품정보제공 템플릿5_14.mp41505
65541스마트스토어 쇼핑몰 5.쇼핑몰 관리, 네이버 상품 최적화 2프로그램HTML5플레이어64715스마트스토어 - 상품 상세 참조5_15.mp41880
65641스마트스토어 쇼핑몰 5.쇼핑몰 관리, 네이버 상품 최적화 2프로그램HTML5플레이어64816스마트스토어 - 상품 정보 템플릿 추가5_16.mp4936