Overview

Dataset statistics

Number of variables28
Number of observations1074
Missing cells5112
Missing cells (%)17.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory244.5 KiB
Average record size in memory233.1 B

Variable types

Numeric8
Text5
DateTime3
Categorical7
Boolean5

Dataset

Description한국콘텐츠진흥원의 콘텐츠인재캠퍼스에서 운영하고있는 콘텐츠아카데미의 열린강좌 정보에 관해서 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15041618/fileData.do

Alerts

이달의강좌여부 has constant value ""Constant
과정소속분야 is highly imbalanced (51.4%)Imbalance
콘텐츠유형 is highly imbalanced (78.2%)Imbalance
추천여부 is highly imbalanced (57.9%)Imbalance
인기여부 is highly imbalanced (83.5%)Imbalance
점수 is highly imbalanced (86.8%)Imbalance
작성일 has 94 (8.8%) missing valuesMissing
누적조회 has 1030 (95.9%) missing valuesMissing
배너이미지메인용 has 1030 (95.9%) missing valuesMissing
제작년도 has 205 (19.1%) missing valuesMissing
태그연관강좌검색시사용 has 186 (17.3%) missing valuesMissing
추천여부 has 254 (23.6%) missing valuesMissing
인기여부 has 254 (23.6%) missing valuesMissing
일련번호_1 has 1029 (95.8%) missing valuesMissing
순번 has 1029 (95.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 17:36:49.646776
Analysis finished2023-12-12 17:36:51.010015
Duration1.36 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

Distinct1061
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean541.03818
Minimum1
Maximum1095
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2023-12-13T02:36:51.102154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile53.65
Q1263.25
median533.5
Q3827.75
95-th percentile1041.35
Maximum1095
Range1094
Interquartile range (IQR)564.5

Descriptive statistics

Standard deviation320.31166
Coefficient of variation (CV)0.59203153
Kurtosis-1.2263928
Mean541.03818
Median Absolute Deviation (MAD)282.5
Skewness0.041806221
Sum581075
Variance102599.56
MonotonicityIncreasing
2023-12-13T02:36:51.277798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62 6
 
0.6%
557 3
 
0.3%
43 2
 
0.2%
588 2
 
0.2%
384 2
 
0.2%
454 2
 
0.2%
434 2
 
0.2%
893 2
 
0.2%
720 1
 
0.1%
721 1
 
0.1%
Other values (1051) 1051
97.9%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1095 1
0.1%
1094 1
0.1%
1093 1
0.1%
1092 1
0.1%
1091 1
0.1%
1090 1
0.1%
1089 1
0.1%
1088 1
0.1%
1087 1
0.1%
1086 1
0.1%

영상이미지
Text

Distinct1061
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2023-12-13T02:36:51.568850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length73
Mean length63.608007
Min length45

Characters and Unicode

Total characters68315
Distinct characters42
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1053 ?
Unique (%)98.0%

Sample

1st row/upload/accept/GoldClassAdmin_img_file_201405231534381_lee1.gif
2nd row/upload/accept/GoldClassAdmin_img_file_201405231603271_lee1.gif
3rd row/upload/accept/GoldClassAdmin_img_file_201405231535291_lee1.gif
4th row/upload/accept/GoldClassAdmin_img_file_201405231535491_lee1.gif
5th row/upload/accept/GoldClassAdmin_img_file_201405231543371_lee1.gif
ValueCountFrequency (%)
upload/accept/goldclassadmin_img_file_201405231538561_lee1.gif 6
 
0.6%
upload/bulletin/2016/goldclassadmin_img_file_201611161037251_lee1.png 3
 
0.3%
upload/accept/goldclassadmin_img_file_201405231612201_lee1.gif 2
 
0.2%
upload/bulletin/2017/goldclassadmin_img_file_201701111115531_lee1.png 2
 
0.2%
upload/bulletin/2015/goldclassadmin_img_file_201512141702301_lee1.jpg 2
 
0.2%
upload/bulletin/2016/goldclassadmin_img_file_201603171021031_lee1.jpg 2
 
0.2%
upload/bulletin/2016/goldclassadmin_img_file_201602051150411_lee1.jpg 2
 
0.2%
upload/bulletin/2019/goldclassadmin_img_file_201902281037311_lee1.png 2
 
0.2%
upload/bulletin/2017/goldclassadmin_img_file_719.jpg 1
 
0.1%
upload/bulletin/2017/goldclassadmin_img_file_724.jpg 1
 
0.1%
Other values (1051) 1051
97.9%
2023-12-13T02:36:52.060570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 5521
 
8.1%
1 5170
 
7.6%
/ 4231
 
6.2%
_ 3535
 
5.2%
e 3518
 
5.1%
i 3479
 
5.1%
d 3222
 
4.7%
0 3162
 
4.6%
2 2710
 
4.0%
a 2682
 
3.9%
Other values (32) 31085
45.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 39427
57.7%
Decimal Number 16771
24.5%
Other Punctuation 5699
 
8.3%
Connector Punctuation 3535
 
5.2%
Uppercase Letter 2883
 
4.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 5521
14.0%
e 3518
 
8.9%
i 3479
 
8.8%
d 3222
 
8.2%
a 2682
 
6.8%
p 2430
 
6.2%
m 2413
 
6.1%
o 2308
 
5.9%
s 2178
 
5.5%
g 2132
 
5.4%
Other values (12) 9544
24.2%
Decimal Number
ValueCountFrequency (%)
1 5170
30.8%
0 3162
18.9%
2 2710
16.2%
4 1346
 
8.0%
3 962
 
5.7%
5 884
 
5.3%
6 700
 
4.2%
9 684
 
4.1%
7 625
 
3.7%
8 528
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
G 961
33.3%
A 944
32.7%
C 944
32.7%
J 17
 
0.6%
P 17
 
0.6%
Other Punctuation
ValueCountFrequency (%)
/ 4231
74.2%
. 1334
 
23.4%
: 130
 
2.3%
\ 4
 
0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 3535
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 42310
61.9%
Common 26005
38.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 5521
13.0%
e 3518
 
8.3%
i 3479
 
8.2%
d 3222
 
7.6%
a 2682
 
6.3%
p 2430
 
5.7%
m 2413
 
5.7%
o 2308
 
5.5%
s 2178
 
5.1%
g 2132
 
5.0%
Other values (17) 12427
29.4%
Common
ValueCountFrequency (%)
1 5170
19.9%
/ 4231
16.3%
_ 3535
13.6%
0 3162
12.2%
2 2710
10.4%
4 1346
 
5.2%
. 1334
 
5.1%
3 962
 
3.7%
5 884
 
3.4%
6 700
 
2.7%
Other values (5) 1971
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68315
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 5521
 
8.1%
1 5170
 
7.6%
/ 4231
 
6.2%
_ 3535
 
5.2%
e 3518
 
5.1%
i 3479
 
5.1%
d 3222
 
4.7%
0 3162
 
4.6%
2 2710
 
4.0%
a 2682
 
3.9%
Other values (32) 31085
45.5%

영상 홈페이지(VODURL)
Text

Distinct778
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2023-12-13T02:36:52.387076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length61
Mean length49.124767
Min length31

Characters and Unicode

Total characters52760
Distinct characters37
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique709 ?
Unique (%)66.0%

Sample

1st rowhttp://edu.kocca.kr/contents/openclass/01/default.htm
2nd rowhttp://edu.kocca.kr/contents/openclass/02/default.htm
3rd rowhttp://edu.kocca.kr/contents/openclass/03/default.htm
4th rowhttp://edu.kocca.kr/contents/openclass/04/default.htm
5th rowhttp://edu.kocca.kr/contents/openclass/05/default.htm
ValueCountFrequency (%)
contents/openclass/credu/start.html 164
 
15.3%
http://vod.kbrainc.com/kbrain/kocca/mp4/openclass/62/01.mp4 6
 
0.6%
http://vod.kbrainc.com/kbrain/kocca/mp4/openclass/941/01.mp4 3
 
0.3%
http://vod.kbrainc.com/kbrain/kocca/mp4/openclass/942/01.mp4 3
 
0.3%
http://vod.kbrainc.com/kbrain/kocca/mp4/openclass/975/01.mp4 3
 
0.3%
http://vod.kbrainc.com/kbrain/kocca/mp4/openclass/557/01.mp4 3
 
0.3%
http://vod.kbrainc.com/kbrain/kocca/mp4/openclass/936/01.mp4 3
 
0.3%
http://vod.kbrainc.com/kbrain/kocca/mp4/openclass/932/01.mp4 3
 
0.3%
http://vod.kbrainc.com/kbrain/kocca/mp4/openclass/933/01.mp4 3
 
0.3%
http://vod.kbrainc.com/kbrain/kocca/mp4/openclass/934/01.mp4 3
 
0.3%
Other values (768) 880
81.9%
2023-12-13T02:36:52.874785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 6787
 
12.9%
c 4245
 
8.0%
o 3417
 
6.5%
n 3228
 
6.1%
a 3167
 
6.0%
t 3078
 
5.8%
p 2967
 
5.6%
s 2761
 
5.2%
. 2402
 
4.6%
m 2314
 
4.4%
Other values (27) 18394
34.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 37378
70.8%
Other Punctuation 9853
 
18.7%
Decimal Number 5497
 
10.4%
Uppercase Letter 20
 
< 0.1%
Connector Punctuation 12
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
c 4245
11.4%
o 3417
9.1%
n 3228
 
8.6%
a 3167
 
8.5%
t 3078
 
8.2%
p 2967
 
7.9%
s 2761
 
7.4%
m 2314
 
6.2%
k 1943
 
5.2%
e 1767
 
4.7%
Other values (11) 8491
22.7%
Decimal Number
ValueCountFrequency (%)
4 1500
27.3%
1 1073
19.5%
0 958
17.4%
9 355
 
6.5%
2 307
 
5.6%
3 297
 
5.4%
7 275
 
5.0%
8 270
 
4.9%
5 255
 
4.6%
6 207
 
3.8%
Other Punctuation
ValueCountFrequency (%)
/ 6787
68.9%
. 2402
 
24.4%
: 664
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
C 10
50.0%
K 10
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 37398
70.9%
Common 15362
29.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
c 4245
11.4%
o 3417
9.1%
n 3228
 
8.6%
a 3167
 
8.5%
t 3078
 
8.2%
p 2967
 
7.9%
s 2761
 
7.4%
m 2314
 
6.2%
k 1943
 
5.2%
e 1767
 
4.7%
Other values (13) 8511
22.8%
Common
ValueCountFrequency (%)
/ 6787
44.2%
. 2402
 
15.6%
4 1500
 
9.8%
1 1073
 
7.0%
0 958
 
6.2%
: 664
 
4.3%
9 355
 
2.3%
2 307
 
2.0%
3 297
 
1.9%
7 275
 
1.8%
Other values (4) 744
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 52760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 6787
 
12.9%
c 4245
 
8.0%
o 3417
 
6.5%
n 3228
 
6.1%
a 3167
 
6.0%
t 3078
 
5.8%
p 2967
 
5.6%
s 2761
 
5.2%
. 2402
 
4.6%
m 2314
 
4.4%
Other values (27) 18394
34.9%

강좌명
Text

Distinct941
Distinct (%)87.6%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2023-12-13T02:36:53.182817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length52
Mean length25.207635
Min length2

Characters and Unicode

Total characters27073
Distinct characters826
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique873 ?
Unique (%)81.3%

Sample

1st row대중문화와 방송의 역할
2nd row미래 삶을 대비한 미래건강 7계명
3rd row마당놀이와 공연문화
4th row똘레랑스란 무엇인가
5th row커뮤니케이션과 리더쉽
ValueCountFrequency (%)
453
 
6.7%
1 95
 
1.4%
2 91
 
1.4%
이해 58
 
0.9%
3 56
 
0.8%
게임 53
 
0.8%
위한 49
 
0.7%
애니메이션 42
 
0.6%
콘텐츠 39
 
0.6%
제작 39
 
0.6%
Other values (2762) 5764
85.5%
2023-12-13T02:36:53.692654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5750
 
21.2%
의 591
 
2.2%
이 537
 
2.0%
- 394
 
1.5%
기 281
 
1.0%
인 274
 
1.0%
한 269
 
1.0%
는 266
 
1.0%
다 258
 
1.0%
리 235
 
0.9%
Other values (816) 18218
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17782
65.7%
Space Separator 5750
 
21.2%
Lowercase Letter 1065
 
3.9%
Uppercase Letter 618
 
2.3%
Other Punctuation 482
 
1.8%
Decimal Number 470
 
1.7%
Dash Punctuation 394
 
1.5%
Close Punctuation 201
 
0.7%
Open Punctuation 201
 
0.7%
Initial Punctuation 31
 
0.1%
Other values (5) 79
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 591
 
3.3%
이 537
 
3.0%
기 281
 
1.6%
인 274
 
1.5%
한 269
 
1.5%
는 266
 
1.5%
다 258
 
1.5%
리 235
 
1.3%
스 232
 
1.3%
가 231
 
1.3%
Other values (726) 14608
82.2%
Uppercase Letter
ValueCountFrequency (%)
D 66
 
10.7%
S 61
 
9.9%
P 55
 
8.9%
M 49
 
7.9%
R 45
 
7.3%
C 41
 
6.6%
T 32
 
5.2%
V 31
 
5.0%
I 28
 
4.5%
E 26
 
4.2%
Other values (15) 184
29.8%
Lowercase Letter
ValueCountFrequency (%)
e 108
10.1%
a 101
 
9.5%
t 98
 
9.2%
o 96
 
9.0%
i 92
 
8.6%
r 87
 
8.2%
n 86
 
8.1%
s 56
 
5.3%
l 42
 
3.9%
u 40
 
3.8%
Other values (14) 259
24.3%
Other Punctuation
ValueCountFrequency (%)
, 193
40.0%
: 139
28.8%
! 75
 
15.6%
. 36
 
7.5%
' 16
 
3.3%
& 15
 
3.1%
′ 4
 
0.8%
． 1
 
0.2%
… 1
 
0.2%
% 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 145
30.9%
2 127
27.0%
3 96
20.4%
4 33
 
7.0%
5 22
 
4.7%
0 19
 
4.0%
6 15
 
3.2%
9 6
 
1.3%
7 4
 
0.9%
8 3
 
0.6%
Math Symbol
ValueCountFrequency (%)
< 11
42.3%
> 11
42.3%
~ 2
 
7.7%
× 2
 
7.7%
Close Punctuation
ValueCountFrequency (%)
] 105
52.2%
) 60
29.9%
』 36
 
17.9%
Open Punctuation
ValueCountFrequency (%)
[ 105
52.2%
( 60
29.9%
『 36
 
17.9%
Initial Punctuation
ValueCountFrequency (%)
‘ 30
96.8%
“ 1
 
3.2%
Final Punctuation
ValueCountFrequency (%)
’ 30
96.8%
” 1
 
3.2%
Letter Number
ValueCountFrequency (%)
Ⅰ 7
53.8%
Ⅱ 6
46.2%
Space Separator
ValueCountFrequency (%)
5750
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 394
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17766
65.6%
Common 7595
28.1%
Latin 1696
 
6.3%
Han 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 591
 
3.3%
이 537
 
3.0%
기 281
 
1.6%
인 274
 
1.5%
한 269
 
1.5%
는 266
 
1.5%
다 258
 
1.5%
리 235
 
1.3%
스 232
 
1.3%
가 231
 
1.3%
Other values (712) 14592
82.1%
Latin
ValueCountFrequency (%)
e 108
 
6.4%
a 101
 
6.0%
t 98
 
5.8%
o 96
 
5.7%
i 92
 
5.4%
r 87
 
5.1%
n 86
 
5.1%
D 66
 
3.9%
S 61
 
3.6%
s 56
 
3.3%
Other values (41) 845
49.8%
Common
ValueCountFrequency (%)
5750
75.7%
- 394
 
5.2%
, 193
 
2.5%
1 145
 
1.9%
: 139
 
1.8%
2 127
 
1.7%
] 105
 
1.4%
[ 105
 
1.4%
3 96
 
1.3%
! 75
 
1.0%
Other values (29) 466
 
6.1%
Han
ValueCountFrequency (%)
本 3
18.8%
性 1
 
6.2%
共 1
 
6.2%
公 1
 
6.2%
樂 1
 
6.2%
四 1
 
6.2%
不 1
 
6.2%
三 1
 
6.2%
拒 1
 
6.2%
一 1
 
6.2%
Other values (4) 4
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17766
65.6%
ASCII 9136
33.7%
None 75
 
0.3%
Punctuation 67
 
0.2%
CJK 14
 
0.1%
Number Forms 13
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5750
62.9%
- 394
 
4.3%
, 193
 
2.1%
1 145
 
1.6%
: 139
 
1.5%
2 127
 
1.4%
e 108
 
1.2%
] 105
 
1.1%
[ 105
 
1.1%
a 101
 
1.1%
Other values (68) 1969
 
21.6%
Hangul
ValueCountFrequency (%)
의 591
 
3.3%
이 537
 
3.0%
기 281
 
1.6%
인 274
 
1.5%
한 269
 
1.5%
는 266
 
1.5%
다 258
 
1.5%
리 235
 
1.3%
스 232
 
1.3%
가 231
 
1.3%
Other values (712) 14592
82.1%
None
ValueCountFrequency (%)
』 36
48.0%
『 36
48.0%
× 2
 
2.7%
． 1
 
1.3%
Punctuation
ValueCountFrequency (%)
‘ 30
44.8%
’ 30
44.8%
′ 4
 
6.0%
… 1
 
1.5%
” 1
 
1.5%
“ 1
 
1.5%
Number Forms
ValueCountFrequency (%)
Ⅰ 7
53.8%
Ⅱ 6
46.2%
CJK
ValueCountFrequency (%)
本 3
21.4%
性 1
 
7.1%
共 1
 
7.1%
公 1
 
7.1%
四 1
 
7.1%
三 1
 
7.1%
拒 1
 
7.1%
一 1
 
7.1%
家 1
 
7.1%
氣 1
 
7.1%
Other values (2) 2
14.3%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 1
50.0%
不 1
50.0%

강의시간
Date

Distinct691
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
Minimum2023-12-13 00:01:06
Maximum2023-12-13 02:20:41
2023-12-13T02:36:53.874692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:36:54.049536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

장르
Categorical

Distinct11
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
인문/경영/교양/일반
256 
콘텐츠검수
170 
방송영상
143 
[KBS]강의100도씨
118 
문화일반
103 
Other values (6)
284 

Length

Max length12
Median length10
Mean length7.5633147
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인문/경영/교양/일반
2nd row인문/경영/교양/일반
3rd row문화일반
4th row인문/경영/교양/일반
5th row인문/경영/교양/일반

Common Values

ValueCountFrequency (%)
인문/경영/교양/일반 256
23.8%
콘텐츠검수 170
15.8%
방송영상 143
13.3%
[KBS]강의100도씨 118
11.0%
문화일반 103
9.6%
만화/애니/캐릭터 100
 
9.3%
게임 76
 
7.1%
[제휴]휴넷열린강좌 60
 
5.6%
[KBS]한국의유산 27
 
2.5%
마스터클래스 12
 
1.1%

Length

2023-12-13T02:36:54.194864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인문/경영/교양/일반 256
23.8%
콘텐츠검수 170
15.8%
방송영상 143
13.3%
kbs]강의100도씨 118
11.0%
문화일반 103
9.6%
만화/애니/캐릭터 100
 
9.3%
게임 76
 
7.1%
제휴]휴넷열린강좌 60
 
5.6%
kbs]한국의유산 27
 
2.5%
마스터클래스 12
 
1.1%

제작
Categorical

Distinct16
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
트리짓소프트웨어
236 
인텔릭
191 
KBS
145 
한국콘텐츠진흥원
90 
이패스코리아
76 
Other values (11)
336 

Length

Max length11
Median length8
Mean length5.4646182
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
트리짓소프트웨어 236
22.0%
인텔릭 191
17.8%
KBS 145
13.5%
한국콘텐츠진흥원 90
 
8.4%
이패스코리아 76
 
7.1%
휴넷 69
 
6.4%
(재)CBS 66
 
6.1%
<NA> 42
 
3.9%
㈜멀티캠퍼스 34
 
3.2%
㈜크레듀 32
 
3.0%
Other values (6) 93
 
8.7%

Length

2023-12-13T02:36:54.336988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
트리짓소프트웨어 236
21.3%
인텔릭 191
17.3%
kbs 145
13.1%
한국콘텐츠진흥원 90
 
8.1%
이패스코리아 76
 
6.9%
휴넷 69
 
6.2%
재)cbs 66
 
6.0%
na 42
 
3.8%
㈜멀티캠퍼스 34
 
3.1%
㈜크레듀 32
 
2.9%
Other values (7) 125
11.3%

최초등록일
Date

Distinct75
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
Minimum2014-08-21 00:00:00
Maximum2021-11-18 00:00:00
2023-12-13T02:36:54.548114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:36:54.699785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

조회수
Real number (ℝ)

Distinct525
Distinct (%)48.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean522.42458
Minimum0
Maximum9694
Zeros6
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2023-12-13T02:36:54.892825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q124
median106
Q3633.5
95-th percentile2076.85
Maximum9694
Range9694
Interquartile range (IQR)609.5

Descriptive statistics

Standard deviation1048.0334
Coefficient of variation (CV)2.006095
Kurtosis28.125306
Mean522.42458
Median Absolute Deviation (MAD)103
Skewness4.604915
Sum561084
Variance1098373.9
MonotonicityNot monotonic
2023-12-13T02:36:55.079755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 53
 
4.9%
2 51
 
4.7%
4 38
 
3.5%
5 29
 
2.7%
27 24
 
2.2%
32 17
 
1.6%
29 16
 
1.5%
6 14
 
1.3%
26 13
 
1.2%
8 10
 
0.9%
Other values (515) 809
75.3%
ValueCountFrequency (%)
0 6
 
0.6%
1 5
 
0.5%
2 51
4.7%
3 53
4.9%
4 38
3.5%
5 29
2.7%
6 14
 
1.3%
7 6
 
0.6%
8 10
 
0.9%
9 6
 
0.6%
ValueCountFrequency (%)
9694 1
 
0.1%
8774 3
0.3%
8382 2
 
0.2%
7608 2
 
0.2%
6479 1
 
0.1%
6079 1
 
0.1%
5074 1
 
0.1%
4933 1
 
0.1%
4763 6
0.6%
4662 1
 
0.1%

세로사이즈
Real number (ℝ)

Distinct13
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean590.80168
Minimum450
Maximum750
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2023-12-13T02:36:55.226595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450
5-th percentile450
Q1560
median600
Q3630
95-th percentile640
Maximum750
Range300
Interquartile range (IQR)70

Descriptive statistics

Standard deviation49.672072
Coefficient of variation (CV)0.084075713
Kurtosis1.2802412
Mean590.80168
Median Absolute Deviation (MAD)30
Skewness-1.1003495
Sum634521
Variance2467.3148
MonotonicityNot monotonic
2023-12-13T02:36:55.372086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
630 269
25.0%
600 194
18.1%
540 152
14.2%
560 151
14.1%
640 87
 
8.1%
608 73
 
6.8%
450 60
 
5.6%
568 25
 
2.3%
650 19
 
1.8%
619 19
 
1.8%
Other values (3) 25
 
2.3%
ValueCountFrequency (%)
450 60
 
5.6%
540 152
14.2%
560 151
14.1%
568 25
 
2.3%
600 194
18.1%
608 73
 
6.8%
618 7
 
0.7%
619 19
 
1.8%
630 269
25.0%
640 87
 
8.1%
ValueCountFrequency (%)
750 1
 
0.1%
680 17
 
1.6%
650 19
 
1.8%
640 87
 
8.1%
630 269
25.0%
619 19
 
1.8%
618 7
 
0.7%
608 73
 
6.8%
600 194
18.1%
568 25
 
2.3%

가로사이즈
Real number (ℝ)

Distinct8
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean991.25512
Minimum800
Maximum1120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2023-12-13T02:36:55.524238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum800
5-th percentile800
Q1960
median960
Q31080
95-th percentile1120
Maximum1120
Range320
Interquartile range (IQR)120

Descriptive statistics

Standard deviation82.418997
Coefficient of variation (CV)0.083146099
Kurtosis-0.32793453
Mean991.25512
Median Absolute Deviation (MAD)60
Skewness-0.28043294
Sum1064608
Variance6792.8911
MonotonicityNot monotonic
2023-12-13T02:36:55.633409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
960 322
30.0%
1080 248
23.1%
1000 161
15.0%
900 145
13.5%
1120 94
 
8.8%
800 60
 
5.6%
998 26
 
2.4%
940 18
 
1.7%
ValueCountFrequency (%)
800 60
 
5.6%
900 145
13.5%
940 18
 
1.7%
960 322
30.0%
998 26
 
2.4%
1000 161
15.0%
1080 248
23.1%
1120 94
 
8.8%
ValueCountFrequency (%)
1120 94
 
8.8%
1080 248
23.1%
1000 161
15.0%
998 26
 
2.4%
960 322
30.0%
940 18
 
1.7%
900 145
13.5%
800 60
 
5.6%

이달의강좌여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
False
1074 
ValueCountFrequency (%)
False 1074
100.0%
2023-12-13T02:36:55.739405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

작성일
Date

MISSING 

Distinct59
Distinct (%)6.0%
Missing94
Missing (%)8.8%
Memory size8.5 KiB
Minimum2006-02-07 00:00:00
Maximum2021-11-18 00:00:00
2023-12-13T02:36:55.876019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:36:56.027351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사용여부
Boolean

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
True
760 
False
314 
ValueCountFrequency (%)
True 760
70.8%
False 314
29.2%
2023-12-13T02:36:56.148475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

누적조회
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)88.6%
Missing1030
Missing (%)95.9%
Infinite0
Infinite (%)0.0%
Mean230.02273
Minimum35
Maximum952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2023-12-13T02:36:56.291030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile65
Q1124.75
median196.5
Q3257
95-th percentile602.55
Maximum952
Range917
Interquartile range (IQR)132.25

Descriptive statistics

Standard deviation173.83854
Coefficient of variation (CV)0.75574504
Kurtosis7.1579256
Mean230.02273
Median Absolute Deviation (MAD)71.5
Skewness2.4138139
Sum10121
Variance30219.837
MonotonicityNot monotonic
2023-12-13T02:36:56.439950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
125 3
 
0.3%
91 2
 
0.2%
123 2
 
0.2%
181 2
 
0.2%
212 1
 
0.1%
109 1
 
0.1%
124 1
 
0.1%
62 1
 
0.1%
256 1
 
0.1%
243 1
 
0.1%
Other values (29) 29
 
2.7%
(Missing) 1030
95.9%
ValueCountFrequency (%)
35 1
 
0.1%
60 1
 
0.1%
62 1
 
0.1%
82 1
 
0.1%
91 2
0.2%
109 1
 
0.1%
116 1
 
0.1%
123 2
0.2%
124 1
 
0.1%
125 3
0.3%
ValueCountFrequency (%)
952 1
0.1%
697 1
0.1%
636 1
0.1%
413 1
0.1%
386 1
0.1%
369 1
0.1%
353 1
0.1%
281 1
0.1%
275 1
0.1%
266 1
0.1%

배너이미지메인용
Text

MISSING 

Distinct43
Distinct (%)97.7%
Missing1030
Missing (%)95.9%
Memory size8.5 KiB
2023-12-13T02:36:56.712169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1584
Distinct characters27
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

Unique42 ?
Unique (%)95.5%

Sample

1st rowgoldclass1_20060207152930_master.jpg
2nd rowgoldclass1_20060207153106_master.jpg
3rd rowgoldclass1_20060328175633_master.jpg
4th rowgoldclass1_20060331154417_master.jpg
5th rowgoldclass1_20060410154418_master.jpg
ValueCountFrequency (%)
goldclass1_20100205092720_master.jpg 2
 
4.5%
goldclass1_20090911154504_master.jpg 1
 
2.3%
goldclass1_20090911154321_master.jpg 1
 
2.3%
goldclass1_20090129105021_master.jpg 1
 
2.3%
goldclass1_20090624102926_master.jpg 1
 
2.3%
goldclass1_20090702165235_master.jpg 1
 
2.3%
goldclass1_20090702170007_master.jpg 1
 
2.3%
goldclass1_20090702165742_master.jpg 1
 
2.3%
goldclass1_20090814171925_master.jpg 1
 
2.3%
goldclass1_20090814171440_master.jpg 1
 
2.3%
Other values (33) 33
75.0%
2023-12-13T02:36:57.114305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 165
 
10.4%
1 153
 
9.7%
s 130
 
8.2%
2 98
 
6.2%
l 90
 
5.7%
g 88
 
5.6%
_ 88
 
5.6%
a 86
 
5.4%
o 46
 
2.9%
. 44
 
2.8%
Other values (17) 596
37.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 792
50.0%
Decimal Number 660
41.7%
Connector Punctuation 88
 
5.6%
Other Punctuation 44
 
2.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 130
16.4%
l 90
11.4%
g 88
11.1%
a 86
10.9%
o 46
 
5.8%
c 44
 
5.6%
d 44
 
5.6%
p 44
 
5.6%
j 44
 
5.6%
e 44
 
5.6%
Other values (5) 132
16.7%
Decimal Number
ValueCountFrequency (%)
0 165
25.0%
1 153
23.2%
2 98
14.8%
5 43
 
6.5%
9 43
 
6.5%
7 42
 
6.4%
6 38
 
5.8%
3 33
 
5.0%
4 29
 
4.4%
8 16
 
2.4%
Connector Punctuation
ValueCountFrequency (%)
_ 88
100.0%
Other Punctuation
ValueCountFrequency (%)
. 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 792
50.0%
Latin 792
50.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 130
16.4%
l 90
11.4%
g 88
11.1%
a 86
10.9%
o 46
 
5.8%
c 44
 
5.6%
d 44
 
5.6%
p 44
 
5.6%
j 44
 
5.6%
e 44
 
5.6%
Other values (5) 132
16.7%
Common
ValueCountFrequency (%)
0 165
20.8%
1 153
19.3%
2 98
12.4%
_ 88
11.1%
. 44
 
5.6%
5 43
 
5.4%
9 43
 
5.4%
7 42
 
5.3%
6 38
 
4.8%
3 33
 
4.2%
Other values (2) 45
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1584
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 165
 
10.4%
1 153
 
9.7%
s 130
 
8.2%
2 98
 
6.2%
l 90
 
5.7%
g 88
 
5.6%
_ 88
 
5.6%
a 86
 
5.4%
o 46
 
2.9%
. 44
 
2.8%
Other values (17) 596
37.6%

제작년도
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)1.7%
Missing205
Missing (%)19.1%
Infinite0
Infinite (%)0.0%
Mean2016.0598
Minimum2006
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2023-12-13T02:36:57.270062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2006
5-th percentile2009.4
Q12014
median2017
Q32018
95-th percentile2021
Maximum2021
Range15
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.1744386
Coefficient of variation (CV)0.0015745756
Kurtosis1.003029
Mean2016.0598
Median Absolute Deviation (MAD)2
Skewness-0.85964627
Sum1751956
Variance10.07706
MonotonicityNot monotonic
2023-12-13T02:36:57.384037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2017 178
16.6%
2014 137
12.8%
2016 116
10.8%
2018 83
7.7%
2019 61
 
5.7%
2020 60
 
5.6%
2021 60
 
5.6%
2015 56
 
5.2%
2013 30
 
2.8%
2010 26
 
2.4%
Other values (5) 62
 
5.8%
(Missing) 205
19.1%
ValueCountFrequency (%)
2006 12
 
1.1%
2007 10
 
0.9%
2008 3
 
0.3%
2009 19
 
1.8%
2010 26
 
2.4%
2012 18
 
1.7%
2013 30
 
2.8%
2014 137
12.8%
2015 56
5.2%
2016 116
10.8%
ValueCountFrequency (%)
2021 60
 
5.6%
2020 60
 
5.6%
2019 61
 
5.7%
2018 83
7.7%
2017 178
16.6%
2016 116
10.8%
2015 56
 
5.2%
2014 137
12.8%
2013 30
 
2.8%
2012 18
 
1.7%

과정소속분야
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
문화콘텐츠
838 
방송영상
154 
게임개발
 
81
<NA>
 
1

Length

Max length5
Median length5
Mean length4.7802607
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
문화콘텐츠 838
78.0%
방송영상 154
 
14.3%
게임개발 81
 
7.5%
<NA> 1
 
0.1%

Length

2023-12-13T02:36:57.532790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:36:57.968956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화콘텐츠 838
78.0%
방송영상 154
 
14.3%
게임개발 81
 
7.5%
na 1
 
0.1%

콘텐츠유형
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
임베드
1015 
<NA>
 
48
팝업
 
11

Length

Max length4
Median length3
Mean length3.0344507
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row팝업
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
임베드 1015
94.5%
<NA> 48
 
4.5%
팝업 11
 
1.0%

Length

2023-12-13T02:36:58.097126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:36:58.201137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
임베드 1015
94.5%
na 48
 
4.5%
팝업 11
 
1.0%

열린강좌분류
Categorical

Distinct11
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
인문/경영/교양/일반
256 
콘텐츠검수
170 
방송영상
143 
[KBS]강의100도씨
118 
문화일반
103 
Other values (6)
284 

Length

Max length12
Median length10
Mean length7.5633147
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인문/경영/교양/일반
2nd row인문/경영/교양/일반
3rd row문화일반
4th row인문/경영/교양/일반
5th row인문/경영/교양/일반

Common Values

ValueCountFrequency (%)
인문/경영/교양/일반 256
23.8%
콘텐츠검수 170
15.8%
방송영상 143
13.3%
[KBS]강의100도씨 118
11.0%
문화일반 103
9.6%
만화/애니/캐릭터 100
 
9.3%
게임 76
 
7.1%
[제휴]휴넷열린강좌 60
 
5.6%
[KBS]한국의유산 27
 
2.5%
마스터클래스 12
 
1.1%

Length

2023-12-13T02:36:58.312120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인문/경영/교양/일반 256
23.8%
콘텐츠검수 170
15.8%
방송영상 143
13.3%
kbs]강의100도씨 118
11.0%
문화일반 103
9.6%
만화/애니/캐릭터 100
 
9.3%
게임 76
 
7.1%
제휴]휴넷열린강좌 60
 
5.6%
kbs]한국의유산 27
 
2.5%
마스터클래스 12
 
1.1%

신규여부
Boolean

Distinct2
Distinct (%)0.2%
Missing1
Missing (%)0.1%
Memory size2.2 KiB
False
819 
True
254 
(Missing)
 
1
ValueCountFrequency (%)
False 819
76.3%
True 254
 
23.6%
(Missing) 1
 
0.1%
2023-12-13T02:36:58.433508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

열린강좌테마분류
Categorical

Distinct11
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
명사특강
232 
<NA>
205 
트렌드
162 
스킬노하우
118 
경영/전략
114 
Other values (6)
243 

Length

Max length7
Median length6
Mean length4.4087523
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
명사특강 232
21.6%
<NA> 205
19.1%
트렌드 162
15.1%
스킬노하우 118
11.0%
경영/전략 114
10.6%
비지니스 스킬 97
9.0%
마케팅 51
 
4.7%
직업탐구 38
 
3.5%
콘텐츠인사이트 35
 
3.3%
마스터클래스 12
 
1.1%

Length

2023-12-13T02:36:58.569057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
명사특강 232
19.8%
na 205
17.5%
트렌드 162
13.8%
스킬노하우 118
10.1%
경영/전략 114
9.7%
비지니스 97
8.3%
스킬 97
8.3%
마케팅 51
 
4.4%
직업탐구 38
 
3.2%
콘텐츠인사이트 35
 
3.0%
Other values (2) 22
 
1.9%

태그연관강좌검색시사용
Text

MISSING 

Distinct467
Distinct (%)52.6%
Missing186
Missing (%)17.3%
Memory size8.5 KiB
2023-12-13T02:36:58.919027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length118
Median length94
Mean length29.983108
Min length6

Characters and Unicode

Total characters26625
Distinct characters605
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique302 ?
Unique (%)34.0%

Sample

1st row워낭소리,이충렬,다큐멘터리,감독,영화,향수
2nd row워낭소리, 이충렬, 다큐멘터리, 감독, 영화, 제작
3rd row1박2일,연출,예능,리얼리티,감독,캐릭터,프로그램
4th row명성황후,이야기,뮤지컬,공연,예술,맛보기
5th row인사이트,아시아,누들,로드,이욱정,프로듀서
ValueCountFrequency (%)
소셜 91
 
2.0%
마케팅 85
 
1.9%
게임 81
 
1.8%
인문교양 78
 
1.7%
프레젠테이션 64
 
1.4%
여성 60
 
1.3%
세바시 60
 
1.3%
15분 57
 
1.3%
시대의 57
 
1.3%
뮤지컬 56
 
1.2%
Other values (1071) 3811
84.7%
2023-12-13T02:36:59.597342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 4147
 
15.6%
3617
 
13.6%
이 464
 
1.7%
스 364
 
1.4%
리 262
 
1.0%
기 257
 
1.0%
시 246
 
0.9%
인 246
 
0.9%
상 224
 
0.8%
디 207
 
0.8%
Other values (595) 16591
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15802
59.4%
Other Punctuation 4200
 
15.8%
Space Separator 3617
 
13.6%
Lowercase Letter 1422
 
5.3%
Uppercase Letter 1153
 
4.3%
Decimal Number 420
 
1.6%
Dash Punctuation 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 464
 
2.9%
스 364
 
2.3%
리 262
 
1.7%
기 257
 
1.6%
시 246
 
1.6%
인 246
 
1.6%
상 224
 
1.4%
디 207
 
1.3%
영 199
 
1.3%
작 197
 
1.2%
Other values (532) 13136
83.1%
Uppercase Letter
ValueCountFrequency (%)
S 178
15.4%
D 135
11.7%
T 99
 
8.6%
C 98
 
8.5%
E 84
 
7.3%
B 80
 
6.9%
M 63
 
5.5%
R 58
 
5.0%
N 51
 
4.4%
P 51
 
4.4%
Other values (14) 256
22.2%
Lowercase Letter
ValueCountFrequency (%)
i 167
11.7%
n 126
 
8.9%
t 115
 
8.1%
s 114
 
8.0%
e 108
 
7.6%
m 98
 
6.9%
a 90
 
6.3%
c 75
 
5.3%
r 68
 
4.8%
p 66
 
4.6%
Other values (14) 395
27.8%
Decimal Number
ValueCountFrequency (%)
1 187
44.5%
5 169
40.2%
3 41
 
9.8%
4 10
 
2.4%
2 5
 
1.2%
0 3
 
0.7%
6 3
 
0.7%
8 1
 
0.2%
7 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 4147
98.7%
/ 41
 
1.0%
. 8
 
0.2%
& 4
 
0.1%
Space Separator
ValueCountFrequency (%)
3617
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15802
59.4%
Common 8248
31.0%
Latin 2575
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 464
 
2.9%
스 364
 
2.3%
리 262
 
1.7%
기 257
 
1.6%
시 246
 
1.6%
인 246
 
1.6%
상 224
 
1.4%
디 207
 
1.3%
영 199
 
1.3%
작 197
 
1.2%
Other values (532) 13136
83.1%
Latin
ValueCountFrequency (%)
S 178
 
6.9%
i 167
 
6.5%
D 135
 
5.2%
n 126
 
4.9%
t 115
 
4.5%
s 114
 
4.4%
e 108
 
4.2%
T 99
 
3.8%
m 98
 
3.8%
C 98
 
3.8%
Other values (38) 1337
51.9%
Common
ValueCountFrequency (%)
, 4147
50.3%
3617
43.9%
1 187
 
2.3%
5 169
 
2.0%
3 41
 
0.5%
/ 41
 
0.5%
- 11
 
0.1%
4 10
 
0.1%
. 8
 
0.1%
2 5
 
0.1%
Other values (5) 12
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15802
59.4%
ASCII 10823
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 4147
38.3%
3617
33.4%
1 187
 
1.7%
S 178
 
1.6%
5 169
 
1.6%
i 167
 
1.5%
D 135
 
1.2%
n 126
 
1.2%
t 115
 
1.1%
s 114
 
1.1%
Other values (53) 1868
17.3%
Hangul
ValueCountFrequency (%)
이 464
 
2.9%
스 364
 
2.3%
리 262
 
1.7%
기 257
 
1.6%
시 246
 
1.6%
인 246
 
1.6%
상 224
 
1.4%
디 207
 
1.3%
영 199
 
1.3%
작 197
 
1.2%
Other values (532) 13136
83.1%

추천여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.2%
Missing254
Missing (%)23.6%
Memory size2.2 KiB
False
750 
True
 
70
(Missing)
254 
ValueCountFrequency (%)
False 750
69.8%
True 70
 
6.5%
(Missing) 254
 
23.6%
2023-12-13T02:36:59.769942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

인기여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.2%
Missing254
Missing (%)23.6%
Memory size2.2 KiB
False
800 
True
 
20
(Missing)
254 
ValueCountFrequency (%)
False 800
74.5%
True 20
 
1.9%
(Missing) 254
 
23.6%
2023-12-13T02:36:59.914105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

일련번호_1
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)71.1%
Missing1029
Missing (%)95.8%
Infinite0
Infinite (%)0.0%
Mean419.11111
Minimum33
Maximum894
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2023-12-13T02:37:00.039542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile43
Q169
median434
Q3588
95-th percentile884
Maximum894
Range861
Interquartile range (IQR)519

Descriptive statistics

Standard deviation287.9855
Coefficient of variation (CV)0.68713401
Kurtosis-1.18424
Mean419.11111
Median Absolute Deviation (MAD)281
Skewness0.072128844
Sum18860
Variance82935.646
MonotonicityIncreasing
2023-12-13T02:37:00.213417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
62 6
 
0.6%
557 3
 
0.3%
384 2
 
0.2%
893 2
 
0.2%
588 2
 
0.2%
434 2
 
0.2%
454 2
 
0.2%
43 2
 
0.2%
238 1
 
0.1%
69 1
 
0.1%
Other values (22) 22
 
2.0%
(Missing) 1029
95.8%
ValueCountFrequency (%)
33 1
 
0.1%
42 1
 
0.1%
43 2
 
0.2%
44 1
 
0.1%
62 6
0.6%
69 1
 
0.1%
70 1
 
0.1%
175 1
 
0.1%
238 1
 
0.1%
349 1
 
0.1%
ValueCountFrequency (%)
894 1
0.1%
893 2
0.2%
848 1
0.1%
820 1
0.1%
819 1
0.1%
817 1
0.1%
771 1
0.1%
761 1
0.1%
715 1
0.1%
588 2
0.2%

순번
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)53.3%
Missing1029
Missing (%)95.8%
Infinite0
Infinite (%)0.0%
Mean17.822222
Minimum1
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2023-12-13T02:37:00.352873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median21
Q328
95-th percentile39.8
Maximum41
Range40
Interquartile range (IQR)26

Descriptive statistics

Standard deviation14.46043
Coefficient of variation (CV)0.81137077
Kurtosis-1.5389528
Mean17.822222
Median Absolute Deviation (MAD)17
Skewness0.036507376
Sum802
Variance209.10404
MonotonicityNot monotonic
2023-12-13T02:37:00.502701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 8
 
0.7%
2 8
 
0.7%
26 2
 
0.2%
24 2
 
0.2%
3 2
 
0.2%
40 2
 
0.2%
19 2
 
0.2%
25 2
 
0.2%
28 2
 
0.2%
20 1
 
0.1%
Other values (14) 14
 
1.3%
(Missing) 1029
95.8%
ValueCountFrequency (%)
1 8
0.7%
2 8
0.7%
3 2
 
0.2%
18 1
 
0.1%
19 2
 
0.2%
20 1
 
0.1%
21 1
 
0.1%
22 1
 
0.1%
23 1
 
0.1%
24 2
 
0.2%
ValueCountFrequency (%)
41 1
0.1%
40 2
0.2%
39 1
0.1%
38 1
0.1%
37 1
0.1%
36 1
0.1%
33 1
0.1%
32 1
0.1%
31 1
0.1%
30 1
0.1%

점수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
<NA>
1029 
5
 
29
4
 
12
3
 
3
1
 
1

Length

Max length4
Median length4
Mean length3.8743017
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1029
95.8%
5 29
 
2.7%
4 12
 
1.1%
3 3
 
0.3%
1 1
 
0.1%

Length

2023-12-13T02:37:00.651686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:37:00.780624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1029
95.8%
5 29
 
2.7%
4 12
 
1.1%
3 3
 
0.3%
1 1
 
0.1%

Sample

일련번호영상이미지영상 홈페이지(VODURL)강좌명강의시간장르제작최초등록일조회수세로사이즈가로사이즈이달의강좌여부작성일사용여부누적조회배너이미지메인용제작년도과정소속분야콘텐츠유형열린강좌분류신규여부열린강좌테마분류태그연관강좌검색시사용추천여부인기여부일련번호_1순번점수
01/upload/accept/GoldClassAdmin_img_file_201405231534381_lee1.gifhttp://edu.kocca.kr/contents/openclass/01/default.htm대중문화와 방송의 역할00:29:44인문/경영/교양/일반한국콘텐츠진흥원2014-08-2112155681000N2006-02-07N386goldclass1_20060207152930_master.jpg2006문화콘텐츠팝업인문/경영/교양/일반N<NA><NA>NN<NA><NA><NA>
12/upload/accept/GoldClassAdmin_img_file_201405231603271_lee1.gifhttp://edu.kocca.kr/contents/openclass/02/default.htm미래 삶을 대비한 미래건강 7계명00:30:20인문/경영/교양/일반한국콘텐츠진흥원2014-08-218685681000N2006-02-07N239goldclass1_20060207153106_master.jpg2006문화콘텐츠<NA>인문/경영/교양/일반N<NA><NA>NN<NA><NA><NA>
23/upload/accept/GoldClassAdmin_img_file_201405231535291_lee1.gifhttp://edu.kocca.kr/contents/openclass/03/default.htm마당놀이와 공연문화00:31:58문화일반한국콘텐츠진흥원2014-08-216885681000N2006-03-28N196goldclass1_20060328175633_master.jpg2006문화콘텐츠<NA>문화일반N<NA><NA>NN<NA><NA><NA>
34/upload/accept/GoldClassAdmin_img_file_201405231535491_lee1.gifhttp://edu.kocca.kr/contents/openclass/04/default.htm똘레랑스란 무엇인가00:31:13인문/경영/교양/일반한국콘텐츠진흥원2014-08-218275681000N2006-03-31N181goldclass1_20060331154417_master.jpg2006문화콘텐츠<NA>인문/경영/교양/일반N<NA><NA>NN<NA><NA><NA>
45/upload/accept/GoldClassAdmin_img_file_201405231543371_lee1.gifhttp://edu.kocca.kr/contents/openclass/05/default.htm커뮤니케이션과 리더쉽00:30:27인문/경영/교양/일반한국콘텐츠진흥원2014-08-2110655681000N2006-04-10N266goldclass1_20060410154418_master.jpg2006문화콘텐츠<NA>인문/경영/교양/일반N<NA><NA>NN<NA><NA><NA>
56/upload/accept/GoldClassAdmin_img_file_201405231538111_lee1.gifhttp://edu.kocca.kr/contents/openclass/06/default.htm지적 재산권의 의미와 중요성00:32:17인문/경영/교양/일반한국콘텐츠진흥원2014-08-219565681000N2006-04-10N181goldclass1_20060410180346_master.jpg2006문화콘텐츠<NA>인문/경영/교양/일반N<NA><NA>NN<NA><NA><NA>
67/upload/accept/GoldClassAdmin_img_file_201405231606491_lee1.gifhttp://edu.kocca.kr/contents/openclass/07/default.htm주5일 근무에 대비한 여가 이해와 활용 방안 제1부00:23:05인문/경영/교양/일반한국콘텐츠진흥원2014-08-215885681000N2006-05-17N116goldclass1_20060517172910_master.jpg2006문화콘텐츠<NA>인문/경영/교양/일반N<NA><NA>NN<NA><NA><NA>
78/upload/accept/GoldClassAdmin_img_file_201405231607101_lee1.gifhttp://edu.kocca.kr/contents/openclass/08/default.htm주5일 근무에 대비한 여가 이해와 활용 방안 제2부00:19:59인문/경영/교양/일반한국콘텐츠진흥원2014-08-216585681000N2006-05-17N204goldclass1_20060517173804_master.jpg2006문화콘텐츠<NA>인문/경영/교양/일반N<NA><NA>NN<NA><NA><NA>
89/upload/accept/GoldClassAdmin_img_file_201405231549561_lee1.gifhttp://edu.kocca.kr/contents/openclass/09/default.htm뮤지컬에 대한 이해와 한국 뮤지컬의 현주소 제1부00:23:45문화일반한국콘텐츠진흥원2014-08-216695681000N2006-05-17N127goldclass1_20060517181147_master.jpg2006문화콘텐츠<NA>문화일반N<NA><NA>NN<NA><NA><NA>
910/upload/accept/GoldClassAdmin_img_file_201405231550161_lee1.gifhttp://edu.kocca.kr/contents/openclass/10/default.htm뮤지컬에 대한 이해와 한국 뮤지컬의 현주소 제2부00:22:24문화일반한국콘텐츠진흥원2014-08-214985681000N2006-05-17N147goldclass1_20060517182254_master.jpg2006문화콘텐츠<NA>문화일반N<NA><NA>NN<NA><NA><NA>
일련번호영상이미지영상 홈페이지(VODURL)강좌명강의시간장르제작최초등록일조회수세로사이즈가로사이즈이달의강좌여부작성일사용여부누적조회배너이미지메인용제작년도과정소속분야콘텐츠유형열린강좌분류신규여부열린강좌테마분류태그연관강좌검색시사용추천여부인기여부일련번호_1순번점수
10641086/upload/bulletin/2021/GoldClassAdmin_img_file_202111181527481_lee1.pnghttp://vod.kbrainc.com/kbrain/kocca/mp4/openclass/966/01.mp4명품브랜드 샤넬은 밤무대 가수 출신이었다00:02:20인문/경영/교양/일반인텔릭2021-11-18216401000N2021-11-18Y<NA><NA>2021문화콘텐츠임베드인문/경영/교양/일반Y경영/전략인문교양, 시대의 여성, 샤넬<NA><NA><NA><NA><NA>
10651087/upload/bulletin/2021/GoldClassAdmin_img_file_202111181529531_lee1.pnghttp://vod.kbrainc.com/kbrain/kocca/mp4/openclass/967/01.mp4맨발의 댄서 이사도라 덩컨00:02:11인문/경영/교양/일반인텔릭2021-11-18296401000N2021-11-18Y<NA><NA>2021문화콘텐츠임베드인문/경영/교양/일반Y경영/전략인문교양, 시대의 여성, 이사도라 덩컨<NA><NA><NA><NA><NA>
10661088/upload/bulletin/2021/GoldClassAdmin_img_file_202111181532191_lee1.pnghttp://vod.kbrainc.com/kbrain/kocca/mp4/openclass/968/01.mp4오드리 헵번, 만인의 연인에서 만인의 천사로00:02:22인문/경영/교양/일반인텔릭2021-11-18276401000N2021-11-18Y<NA><NA>2021문화콘텐츠임베드인문/경영/교양/일반Y경영/전략인문교양, 시대의 여성, 오드리헵번<NA><NA><NA><NA><NA>
10671089/upload/bulletin/2021/GoldClassAdmin_img_file_202111181535241_lee1.pnghttp://vod.kbrainc.com/kbrain/kocca/mp4/openclass/969/01.mp4와인에서 배우는 더불어 사는 삶00:02:27인문/경영/교양/일반인텔릭2021-11-18546401000N2021-11-18Y<NA><NA>2021문화콘텐츠임베드인문/경영/교양/일반Y트렌드인문교양, 생활상식, 문화, 음식<NA><NA><NA><NA><NA>
10681090/upload/bulletin/2021/GoldClassAdmin_img_file_202111181541191_lee1.pnghttp://vod.kbrainc.com/kbrain/kocca/mp4/openclass/970/01.mp430년 전에는 삼겹살을 먹지 않았다00:02:27인문/경영/교양/일반인텔릭2021-11-18386401000N2021-11-18Y<NA><NA>2021문화콘텐츠임베드인문/경영/교양/일반Y트렌드인문교양, 생활상식, 문화, 음식<NA><NA><NA><NA><NA>
10691091/upload/bulletin/2021/GoldClassAdmin_img_file_202111181544191_lee1.pnghttp://vod.kbrainc.com/kbrain/kocca/mp4/openclass/971/01.mp4기분 좋은 맛의 조합, 치맥00:01:57인문/경영/교양/일반인텔릭2021-11-18476401000N2021-11-18Y<NA><NA>2021문화콘텐츠임베드인문/경영/교양/일반Y트렌드인문교양, 생활상식, 문화, 음식<NA><NA><NA><NA><NA>
10701092/upload/bulletin/2021/GoldClassAdmin_img_file_202111181546261_lee1.pnghttp://vod.kbrainc.com/kbrain/kocca/mp4/openclass/972/01.mp4유럽인들은 왜 탄산수를 마실까00:02:24인문/경영/교양/일반인텔릭2021-11-18406401000N2021-11-18Y<NA><NA>2021문화콘텐츠임베드인문/경영/교양/일반Y트렌드인문교양, 생활상식, 문화, 음식<NA><NA><NA><NA><NA>
10711093/upload/bulletin/2021/GoldClassAdmin_img_file_202111181548331_lee1.pnghttp://vod.kbrainc.com/kbrain/kocca/mp4/openclass/973/01.mp4토마토는 과일일까 채소일까00:02:09인문/경영/교양/일반인텔릭2021-11-18356401000N2021-11-18Y<NA><NA>2021문화콘텐츠임베드인문/경영/교양/일반Y트렌드인문교양, 생활상식, 문화, 음식<NA><NA><NA><NA><NA>
10721094/upload/bulletin/2021/GoldClassAdmin_img_file_202111181550371_lee1.pnghttp://vod.kbrainc.com/kbrain/kocca/mp4/openclass/974/01.mp4한국인의 제2의 주식, 라면00:01:57인문/경영/교양/일반인텔릭2021-11-18276401000N2021-11-18Y<NA><NA>2021문화콘텐츠임베드인문/경영/교양/일반Y트렌드인문교양, 생활상식, 문화, 음식<NA><NA><NA><NA><NA>
10731095/upload/bulletin/2021/GoldClassAdmin_img_file_202111181552341_lee1.pnghttp://vod.kbrainc.com/kbrain/kocca/mp4/openclass/975/01.mp4현대인의 식습관 변화로 위협받는 우리 쌀00:01:57인문/경영/교양/일반인텔릭2021-11-18376401000N2021-11-18Y<NA><NA>2021문화콘텐츠임베드인문/경영/교양/일반Y트렌드인문교양, 생활상식, 문화, 음식<NA><NA><NA><NA><NA>