Overview

Dataset statistics

Number of variables5
Number of observations7079
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory290.5 KiB
Average record size in memory42.0 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description인천광역시 서구 영어나라(https://isel.seo.incheon.kr)의 강의 컨텐츠 정보(일련번호, 컨텐츠명, 코드, 링크 등)입니다.
URLhttps://www.data.go.kr/data/15083718/fileData.do

Alerts

조회수 has constant value ""Constant
컨텐츠일련번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:06:44.694348
Analysis finished2023-12-12 00:06:45.639577
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

컨텐츠일련번호
Real number (ℝ)

UNIQUE 

Distinct7079
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60602.744
Minimum2
Maximum98001
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size62.3 KiB
2023-12-12T09:06:45.713823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile355.9
Q11771.5
median94213
Q395982.5
95-th percentile97647.1
Maximum98001
Range97999
Interquartile range (IQR)94211

Descriptive statistics

Standard deviation45559.205
Coefficient of variation (CV)0.75176801
Kurtosis-1.7148554
Mean60602.744
Median Absolute Deviation (MAD)2877
Skewness-0.53170975
Sum4.2900683 × 108
Variance2.0756411 × 109
MonotonicityStrictly increasing
2023-12-12T09:06:45.871815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1
 
< 0.1%
95389 1
 
< 0.1%
95400 1
 
< 0.1%
95399 1
 
< 0.1%
95398 1
 
< 0.1%
95397 1
 
< 0.1%
95396 1
 
< 0.1%
95395 1
 
< 0.1%
95394 1
 
< 0.1%
95393 1
 
< 0.1%
Other values (7069) 7069
99.9%
ValueCountFrequency (%)
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%
11 1
< 0.1%
ValueCountFrequency (%)
98001 1
< 0.1%
98000 1
< 0.1%
97999 1
< 0.1%
97998 1
< 0.1%
97997 1
< 0.1%
97996 1
< 0.1%
97995 1
< 0.1%
97994 1
< 0.1%
97993 1
< 0.1%
97992 1
< 0.1%

컨텐츠명
Text

Distinct6172
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size55.4 KiB
2023-12-12T09:06:46.276647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length109
Median length83
Mean length22.033197
Min length1

Characters and Unicode

Total characters155973
Distinct characters1119
Distinct categories18 ?
Distinct scripts6 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5900 ?
Unique (%)83.3%

Sample

1st rowNew Friend
2nd rowAge
3rd rowFamily
4th rowMettingGrandparents
5th rowSchool Supplies
ValueCountFrequency (%)
2099
 
6.6%
1 604
 
1.9%
the 595
 
1.9%
2 590
 
1.8%
a 430
 
1.3%
part 368
 
1.2%
unit 354
 
1.1%
to 352
 
1.1%
you 347
 
1.1%
reading 346
 
1.1%
Other values (7089) 25823
80.9%
2023-12-12T09:06:46.866966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26478
 
17.0%
e 8865
 
5.7%
t 6721
 
4.3%
n 6377
 
4.1%
a 6314
 
4.0%
i 6135
 
3.9%
o 5717
 
3.7%
s 4160
 
2.7%
r 3921
 
2.5%
g 2841
 
1.8%
Other values (1109) 78444
50.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 70611
45.3%
Space Separator 26531
 
17.0%
Other Letter 26517
 
17.0%
Uppercase Letter 13387
 
8.6%
Decimal Number 6697
 
4.3%
Other Punctuation 5132
 
3.3%
Dash Punctuation 2030
 
1.3%
Close Punctuation 1996
 
1.3%
Open Punctuation 1976
 
1.3%
Math Symbol 372
 
0.2%
Other values (8) 724
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 992
 
3.7%
사 925
 
3.5%
하 631
 
2.4%
문 495
 
1.9%
의 457
 
1.7%
어 455
 
1.7%
이 390
 
1.5%
요 352
 
1.3%
에 348
 
1.3%
니 322
 
1.2%
Other values (997) 21150
79.8%
Lowercase Letter
ValueCountFrequency (%)
e 8865
12.6%
t 6721
 
9.5%
n 6377
 
9.0%
a 6314
 
8.9%
i 6135
 
8.7%
o 5717
 
8.1%
s 4160
 
5.9%
r 3921
 
5.6%
g 2841
 
4.0%
h 2588
 
3.7%
Other values (16) 16972
24.0%
Uppercase Letter
ValueCountFrequency (%)
S 1329
 
9.9%
W 1257
 
9.4%
T 1074
 
8.0%
L 889
 
6.6%
P 863
 
6.4%
I 860
 
6.4%
R 812
 
6.1%
A 802
 
6.0%
C 711
 
5.3%
D 556
 
4.2%
Other values (16) 4234
31.6%
Other Punctuation
ValueCountFrequency (%)
. 1776
34.6%
, 1016
19.8%
? 769
15.0%
& 470
 
9.2%
/ 347
 
6.8%
' 235
 
4.6%
! 169
 
3.3%
: 102
 
2.0%
" 82
 
1.6%
# 46
 
0.9%
Other values (8) 120
 
2.3%
Decimal Number
ValueCountFrequency (%)
2 1650
24.6%
1 1642
24.5%
0 1003
15.0%
3 658
 
9.8%
4 525
 
7.8%
5 355
 
5.3%
6 273
 
4.1%
7 225
 
3.4%
8 189
 
2.8%
9 161
 
2.4%
Other values (2) 16
 
0.2%
Other Number
ValueCountFrequency (%)
② 77
40.3%
① 77
40.3%
③ 24
 
12.6%
④ 5
 
2.6%
⑦ 2
 
1.0%
⑤ 2
 
1.0%
⑥ 2
 
1.0%
⑧ 1
 
0.5%
⑨ 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 223
59.9%
+ 70
 
18.8%
| 40
 
10.8%
～ 39
 
10.5%
Space Separator
ValueCountFrequency (%)
26478
99.8%
　 53
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 1487
74.5%
] 509
 
25.5%
Open Punctuation
ValueCountFrequency (%)
( 1468
74.3%
[ 508
 
25.7%
Final Punctuation
ValueCountFrequency (%)
’ 117
58.2%
” 84
41.8%
Initial Punctuation
ValueCountFrequency (%)
“ 84
90.3%
‘ 9
 
9.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 13
50.0%
Ⅰ 13
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 2030
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 161
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 49
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 84024
53.9%
Common 45430
29.1%
Hangul 25195
 
16.2%
Hiragana 825
 
0.5%
Han 295
 
0.2%
Katakana 204
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 992
 
3.9%
사 925
 
3.7%
하 631
 
2.5%
문 495
 
2.0%
의 457
 
1.8%
어 455
 
1.8%
이 390
 
1.5%
요 352
 
1.4%
에 348
 
1.4%
니 322
 
1.3%
Other values (726) 19828
78.7%
Han
ValueCountFrequency (%)
人 9
 
3.1%
見 8
 
2.7%
外 6
 
2.0%
家 6
 
2.0%
生 6
 
2.0%
不 5
 
1.7%
私 5
 
1.7%
是 5
 
1.7%
有 5
 
1.7%
什 4
 
1.4%
Other values (148) 236
80.0%
Common
ValueCountFrequency (%)
26478
58.3%
- 2030
 
4.5%
. 1776
 
3.9%
2 1650
 
3.6%
1 1642
 
3.6%
) 1487
 
3.3%
( 1468
 
3.2%
, 1016
 
2.2%
0 1003
 
2.2%
? 769
 
1.7%
Other values (47) 6111
 
13.5%
Hiragana
ValueCountFrequency (%)
い 76
 
9.2%
す 73
 
8.8%
ま 52
 
6.3%
で 42
 
5.1%
が 35
 
4.2%
の 31
 
3.8%
て 31
 
3.8%
か 30
 
3.6%
た 25
 
3.0%
な 25
 
3.0%
Other values (47) 405
49.1%
Katakana
ValueCountFrequency (%)
ト 16
 
7.8%
ン 14
 
6.9%
ス 12
 
5.9%
ッ 10
 
4.9%
リ 7
 
3.4%
レ 7
 
3.4%
イ 7
 
3.4%
テ 6
 
2.9%
ク 6
 
2.9%
バ 6
 
2.9%
Other values (47) 113
55.4%
Latin
ValueCountFrequency (%)
e 8865
 
10.6%
t 6721
 
8.0%
n 6377
 
7.6%
a 6314
 
7.5%
i 6135
 
7.3%
o 5717
 
6.8%
s 4160
 
5.0%
r 3921
 
4.7%
g 2841
 
3.4%
h 2588
 
3.1%
Other values (44) 30385
36.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 128759
82.6%
Hangul 25184
 
16.1%
Hiragana 825
 
0.5%
Punctuation 301
 
0.2%
CJK 295
 
0.2%
Katakana 204
 
0.1%
Enclosed Alphanum 191
 
0.1%
None 179
 
0.1%
Number Forms 26
 
< 0.1%
Compat Jamo 9
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26478
20.6%
e 8865
 
6.9%
t 6721
 
5.2%
n 6377
 
5.0%
a 6314
 
4.9%
i 6135
 
4.8%
o 5717
 
4.4%
s 4160
 
3.2%
r 3921
 
3.0%
g 2841
 
2.2%
Other values (77) 51230
39.8%
Hangul
ValueCountFrequency (%)
기 992
 
3.9%
사 925
 
3.7%
하 631
 
2.5%
문 495
 
2.0%
의 457
 
1.8%
어 455
 
1.8%
이 390
 
1.5%
요 352
 
1.4%
에 348
 
1.4%
니 322
 
1.3%
Other values (724) 19817
78.7%
Punctuation
ValueCountFrequency (%)
’ 117
38.9%
” 84
27.9%
“ 84
27.9%
‘ 9
 
3.0%
… 7
 
2.3%
Enclosed Alphanum
ValueCountFrequency (%)
② 77
40.3%
① 77
40.3%
③ 24
 
12.6%
④ 5
 
2.6%
⑦ 2
 
1.0%
⑤ 2
 
1.0%
⑥ 2
 
1.0%
⑧ 1
 
0.5%
⑨ 1
 
0.5%
Hiragana
ValueCountFrequency (%)
い 76
 
9.2%
す 73
 
8.8%
ま 52
 
6.3%
で 42
 
5.1%
が 35
 
4.2%
の 31
 
3.8%
て 31
 
3.8%
か 30
 
3.6%
た 25
 
3.0%
な 25
 
3.0%
Other values (47) 405
49.1%
None
ValueCountFrequency (%)
　 53
29.6%
。 40
22.3%
～ 39
21.8%
· 22
12.3%
２ 8
 
4.5%
１ 8
 
4.5%
、 4
 
2.2%
， 3
 
1.7%
㈜ 2
 
1.1%
Katakana
ValueCountFrequency (%)
ト 16
 
7.8%
ン 14
 
6.9%
ス 12
 
5.9%
ッ 10
 
4.9%
リ 7
 
3.4%
レ 7
 
3.4%
イ 7
 
3.4%
テ 6
 
2.9%
ク 6
 
2.9%
バ 6
 
2.9%
Other values (47) 113
55.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 13
50.0%
Ⅰ 13
50.0%
CJK
ValueCountFrequency (%)
人 9
 
3.1%
見 8
 
2.7%
外 6
 
2.0%
家 6
 
2.0%
生 6
 
2.0%
不 5
 
1.7%
私 5
 
1.7%
是 5
 
1.7%
有 5
 
1.7%
什 4
 
1.4%
Other values (148) 236
80.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 9
100.0%

컨텐츠코드
Text

Distinct7054
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size55.4 KiB
2023-12-12T09:06:47.214197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.9191976
Min length5

Characters and Unicode

Total characters41902
Distinct characters33
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

Unique7043 ?
Unique (%)99.5%

Sample

1st rowHFE001
2nd rowHFE002
3rd rowHFE003
4th rowHFE004
5th rowHFE005
ValueCountFrequency (%)
swd01 4
 
0.1%
swd02 4
 
0.1%
swd03 4
 
0.1%
swd08 3
 
< 0.1%
swd04 3
 
< 0.1%
swd05 3
 
< 0.1%
swd06 3
 
< 0.1%
swd07 3
 
< 0.1%
swd09 3
 
< 0.1%
swd10 3
 
< 0.1%
Other values (7044) 7046
99.5%
2023-12-12T09:06:47.656507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8069
19.3%
1 3069
 
7.3%
A 2913
 
7.0%
E 2372
 
5.7%
2 2081
 
5.0%
3 1840
 
4.4%
C 1837
 
4.4%
B 1285
 
3.1%
4 1284
 
3.1%
5 1239
 
3.0%
Other values (23) 15913
38.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21389
51.0%
Uppercase Letter 20513
49.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 2913
14.2%
E 2372
 
11.6%
C 1837
 
9.0%
B 1285
 
6.3%
N 1219
 
5.9%
S 1043
 
5.1%
R 860
 
4.2%
J 825
 
4.0%
H 791
 
3.9%
O 746
 
3.6%
Other values (13) 6622
32.3%
Decimal Number
ValueCountFrequency (%)
0 8069
37.7%
1 3069
 
14.3%
2 2081
 
9.7%
3 1840
 
8.6%
4 1284
 
6.0%
5 1239
 
5.8%
6 1109
 
5.2%
7 930
 
4.3%
8 893
 
4.2%
9 875
 
4.1%

Most occurring scripts

ValueCountFrequency (%)
Common 21389
51.0%
Latin 20513
49.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 2913
14.2%
E 2372
 
11.6%
C 1837
 
9.0%
B 1285
 
6.3%
N 1219
 
5.9%
S 1043
 
5.1%
R 860
 
4.2%
J 825
 
4.0%
H 791
 
3.9%
O 746
 
3.6%
Other values (13) 6622
32.3%
Common
ValueCountFrequency (%)
0 8069
37.7%
1 3069
 
14.3%
2 2081
 
9.7%
3 1840
 
8.6%
4 1284
 
6.0%
5 1239
 
5.8%
6 1109
 
5.2%
7 930
 
4.3%
8 893
 
4.2%
9 875
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41902
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8069
19.3%
1 3069
 
7.3%
A 2913
 
7.0%
E 2372
 
5.7%
2 2081
 
5.0%
3 1840
 
4.4%
C 1837
 
4.4%
B 1285
 
3.1%
4 1284
 
3.1%
5 1239
 
3.0%
Other values (23) 15913
38.0%

조회수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.4 KiB
0
7079 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7079
100.0%

Length

2023-12-12T09:06:47.800842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:06:47.905479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 7079
100.0%

링크
Text

Distinct7033
Distinct (%)99.4%
Missing1
Missing (%)< 0.1%
Memory size55.4 KiB
2023-12-12T09:06:48.268773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length110
Median length102
Mean length90.057078
Min length15

Characters and Unicode

Total characters637424
Distinct characters57
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6988 ?
Unique (%)98.7%

Sample

1st row/neungyule/HowFunEnglish/001/start.html
2nd row/neungyule/HowFunEnglish/002/start.html
3rd row/neungyule/HowFunEnglish/003/start.html
4th row/neungyule/HowFunEnglish/004/start.html
5th row/neungyule/HowFunEnglish/005/start.html
ValueCountFrequency (%)
http://info.global21.co.kr/chk/course_link_cp.asp?cno=291&user_id=saehaens&course_id=esob3_1&chap_id=11 2
 
< 0.1%
http://info.global21.co.kr/chk/course_link_cp.asp?cno=291&user_id=saehaens&course_id=esob2_2&chap_id=10 2
 
< 0.1%
http://info.global21.co.kr/chk/course_link_cp.asp?cno=291&user_id=saehaens&course_id=esob2_1&chap_id=18 2
 
< 0.1%
http://info.global21.co.kr/chk/course_link_cp.asp?cno=291&user_id=saehaens&course_id=esob2_2&chap_id=18 2
 
< 0.1%
http://saeterncontents.inetstudy.co.kr/app/saetern.asp?course=brown&coursenum=2&courselesson=10 2
 
< 0.1%
http://info.global21.co.kr/chk/course_link_cp.asp?cno=291&user_id=saehaens&course_id=esob2_2&chap_id=17 2
 
< 0.1%
http://info.global21.co.kr/chk/course_link_cp.asp?cno=291&user_id=saehaens&course_id=esob2_2&chap_id=16 2
 
< 0.1%
http://info.global21.co.kr/chk/course_link_cp.asp?cno=291&user_id=saehaens&course_id=esob2_2&chap_id=15 2
 
< 0.1%
http://info.global21.co.kr/chk/course_link_cp.asp?cno=291&user_id=saehaens&course_id=esob2_2&chap_id=14 2
 
< 0.1%
http://info.global21.co.kr/chk/course_link_cp.asp?cno=291&user_id=saehaens&course_id=esob2_2&chap_id=12 2
 
< 0.1%
Other values (7023) 7058
99.7%
2023-12-12T09:06:48.816787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 41698
 
6.5%
s 39815
 
6.2%
o 36052
 
5.7%
c 35639
 
5.6%
a 31969
 
5.0%
/ 31737
 
5.0%
n 31715
 
5.0%
i 29333
 
4.6%
t 27058
 
4.2%
_ 25544
 
4.0%
Other values (47) 306864
48.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 452896
71.1%
Other Punctuation 83492
 
13.1%
Decimal Number 48743
 
7.6%
Connector Punctuation 25544
 
4.0%
Math Symbol 19928
 
3.1%
Uppercase Letter 6820
 
1.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 41698
 
9.2%
s 39815
 
8.8%
o 36052
 
8.0%
c 35639
 
7.9%
a 31969
 
7.1%
n 31715
 
7.0%
i 29333
 
6.5%
t 27058
 
6.0%
r 24282
 
5.4%
h 24204
 
5.3%
Other values (15) 131131
29.0%
Uppercase Letter
ValueCountFrequency (%)
C 3423
50.2%
L 969
 
14.2%
S 832
 
12.2%
P 357
 
5.2%
B 216
 
3.2%
D 200
 
2.9%
M 200
 
2.9%
E 175
 
2.6%
F 120
 
1.8%
H 120
 
1.8%
Other values (4) 208
 
3.0%
Decimal Number
ValueCountFrequency (%)
1 14221
29.2%
2 12145
24.9%
0 6426
13.2%
9 4574
 
9.4%
3 2536
 
5.2%
4 2314
 
4.7%
5 2003
 
4.1%
7 1629
 
3.3%
6 1593
 
3.3%
8 1302
 
2.7%
Other Punctuation
ValueCountFrequency (%)
/ 31737
38.0%
. 25061
30.0%
& 14002
16.8%
: 6766
 
8.1%
? 5926
 
7.1%
Connector Punctuation
ValueCountFrequency (%)
_ 25544
100.0%
Math Symbol
ValueCountFrequency (%)
= 19928
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 459716
72.1%
Common 177708
 
27.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 41698
 
9.1%
s 39815
 
8.7%
o 36052
 
7.8%
c 35639
 
7.8%
a 31969
 
7.0%
n 31715
 
6.9%
i 29333
 
6.4%
t 27058
 
5.9%
r 24282
 
5.3%
h 24204
 
5.3%
Other values (29) 137951
30.0%
Common
ValueCountFrequency (%)
/ 31737
17.9%
_ 25544
14.4%
. 25061
14.1%
= 19928
11.2%
1 14221
8.0%
& 14002
7.9%
2 12145
 
6.8%
: 6766
 
3.8%
0 6426
 
3.6%
? 5926
 
3.3%
Other values (8) 15952
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 637424
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 41698
 
6.5%
s 39815
 
6.2%
o 36052
 
5.7%
c 35639
 
5.6%
a 31969
 
5.0%
/ 31737
 
5.0%
n 31715
 
5.0%
i 29333
 
4.6%
t 27058
 
4.2%
_ 25544
 
4.0%
Other values (47) 306864
48.1%

Interactions

2023-12-12T09:06:45.415516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T09:06:45.514048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:06:45.598193image/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

컨텐츠일련번호컨텐츠명컨텐츠코드조회수링크
02New FriendHFE0010/neungyule/HowFunEnglish/001/start.html
13AgeHFE0020/neungyule/HowFunEnglish/002/start.html
24FamilyHFE0030/neungyule/HowFunEnglish/003/start.html
35MettingGrandparentsHFE0040/neungyule/HowFunEnglish/004/start.html
46School SuppliesHFE0050/neungyule/HowFunEnglish/005/start.html
57ToysHFE0060/neungyule/HowFunEnglish/006/start.html
68Colors and ShapesHFE0070/neungyule/HowFunEnglish/007/start.html
79Play with a BabyHFE0080/neungyule/HowFunEnglish/008/start.html
810My HouseHFE0090/neungyule/HowFunEnglish/009/start.html
911Things in the HouseHFE0100/neungyule/HowFunEnglish/010/start.html
컨텐츠일련번호컨텐츠명컨텐츠코드조회수링크
706997992work(2) - c. productionENG0870http://info.global21.co.kr/chk/course_link_cp.asp?cno=291&user_id=saehaens&course_id=e10biz_work_2&chap_id=03
707097993work(2) - d. resumeENG0880http://info.global21.co.kr/chk/course_link_cp.asp?cno=291&user_id=saehaens&course_id=e10biz_work_2&chap_id=04
707197994work(2) - e. job interview1ENG0890http://info.global21.co.kr/chk/course_link_cp.asp?cno=291&user_id=saehaens&course_id=e10biz_work_2&chap_id=05
707297995work(2) - f. job interview2ENG0900http://info.global21.co.kr/chk/course_link_cp.asp?cno=291&user_id=saehaens&course_id=e10biz_work_2&chap_id=06
707397996work(2) - g. reprimandingENG0910http://info.global21.co.kr/chk/course_link_cp.asp?cno=291&user_id=saehaens&course_id=e10biz_work_2&chap_id=07
707497997work(2) - h. transferENG0920http://info.global21.co.kr/chk/course_link_cp.asp?cno=291&user_id=saehaens&course_id=e10biz_work_2&chap_id=08
707597998work(2) - i. performanceENG0930http://info.global21.co.kr/chk/course_link_cp.asp?cno=291&user_id=saehaens&course_id=e10biz_work_2&chap_id=09
707697999work(2) - j. cost reductionENG0940http://info.global21.co.kr/chk/course_link_cp.asp?cno=291&user_id=saehaens&course_id=e10biz_work_2&chap_id=10
707798000work(2) - k. cold callsENG0950http://info.global21.co.kr/chk/course_link_cp.asp?cno=291&user_id=saehaens&course_id=e10biz_work_2&chap_id=11
707898001work(2) - l. skillsENG0960http://info.global21.co.kr/chk/course_link_cp.asp?cno=291&user_id=saehaens&course_id=e10biz_work_2&chap_id=12