Overview

Dataset statistics

Number of variables11
Number of observations10000
Missing cells1437
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory966.8 KiB
Average record size in memory99.0 B

Variable types

Numeric3
Text3
DateTime4
Categorical1

Dataset

Description강좌번호,강좌명,등록시작일,등록종료일,강좌시작일,강좌종료일,수업시간,정원,강좌상태,강좌비용,강좌상세화면
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15991/S/1/datasetView.do

Alerts

강좌상태 is highly imbalanced (87.2%)Imbalance
정원 has 1437 (14.4%) missing valuesMissing
강좌번호 has unique valuesUnique
강좌상세화면 has unique valuesUnique
강좌비용 has 3757 (37.6%) zerosZeros

Reproduction

Analysis started2024-05-11 05:54:15.034651
Analysis finished2024-05-11 05:54:23.042800
Duration8.01 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

강좌번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21688056
Minimum49431
Maximum40575098
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T05:54:23.365442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49431
5-th percentile1450482.4
Q19608868
median26755850
Q332973047
95-th percentile38502656
Maximum40575098
Range40525667
Interquartile range (IQR)23364179

Descriptive statistics

Standard deviation12897637
Coefficient of variation (CV)0.59468844
Kurtosis-1.4419912
Mean21688056
Median Absolute Deviation (MAD)11035634
Skewness-0.25304711
Sum2.1688056 × 1011
Variance1.6634903 × 1014
MonotonicityNot monotonic
2024-05-11T05:54:23.952092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28550823 1
 
< 0.1%
14965337 1
 
< 0.1%
35637916 1
 
< 0.1%
24678888 1
 
< 0.1%
38514099 1
 
< 0.1%
29329812 1
 
< 0.1%
26590488 1
 
< 0.1%
40265631 1
 
< 0.1%
38319530 1
 
< 0.1%
29470151 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
49431 1
< 0.1%
49626 1
< 0.1%
49717 1
< 0.1%
49860 1
< 0.1%
49915 1
< 0.1%
50162 1
< 0.1%
50234 1
< 0.1%
50334 1
< 0.1%
50431 1
< 0.1%
50715 1
< 0.1%
ValueCountFrequency (%)
40575098 1
< 0.1%
40512584 1
< 0.1%
40476404 1
< 0.1%
40474686 1
< 0.1%
40473137 1
< 0.1%
40462878 1
< 0.1%
40462545 1
< 0.1%
40462038 1
< 0.1%
40456397 1
< 0.1%
40452926 1
< 0.1%

강좌명
Text

Distinct9321
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T05:54:24.836210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length47
Mean length25.5786
Min length3

Characters and Unicode

Total characters255786
Distinct characters1176
Distinct categories17 ?
Distinct scripts4 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8906 ?
Unique (%)89.1%

Sample

1st row[원데이스쿨] 처음 핸드드립 (9월 야간반)
2nd row[일활동] 50+내 일자리 바로알기(2차:2월 27일)
3rd row이력서?경력기술서 한글 문서작성(5월)
4th row친절한 안나샘 오카리나
5th row궁궐의 나무이야기_10월
ValueCountFrequency (%)
1076
 
2.1%
위한 475
 
0.9%
함께하는 437
 
0.9%
만들기 421
 
0.8%
온라인 349
 
0.7%
양성과정 329
 
0.6%
과정 238
 
0.5%
내 229
 
0.4%
오프라인 215
 
0.4%
인생설계 200
 
0.4%
Other values (14592) 47139
92.2%
2024-05-11T05:54:26.234663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41313
 
16.2%
[ 5173
 
2.0%
] 5172
 
2.0%
기 4706
 
1.8%
) 3273
 
1.3%
( 3273
 
1.3%
인 3259
 
1.3%
0 2917
 
1.1%
사 2867
 
1.1%
스 2718
 
1.1%
Other values (1166) 181115
70.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 170055
66.5%
Space Separator 41313
 
16.2%
Decimal Number 11152
 
4.4%
Open Punctuation 8534
 
3.3%
Close Punctuation 8533
 
3.3%
Other Punctuation 7016
 
2.7%
Uppercase Letter 3284
 
1.3%
Math Symbol 2205
 
0.9%
Lowercase Letter 1930
 
0.8%
Dash Punctuation 1088
 
0.4%
Other values (7) 676
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 4706
 
2.8%
인 3259
 
1.9%
사 2867
 
1.7%
스 2718
 
1.6%
는 2643
 
1.6%
이 2516
 
1.5%
로 2276
 
1.3%
리 2273
 
1.3%
교 2169
 
1.3%
하 2120
 
1.2%
Other values (1049) 142508
83.8%
Uppercase Letter
ValueCountFrequency (%)
S 412
12.5%
T 383
11.7%
I 299
 
9.1%
N 285
 
8.7%
A 255
 
7.8%
P 243
 
7.4%
B 168
 
5.1%
D 166
 
5.1%
O 164
 
5.0%
C 134
 
4.1%
Other values (16) 775
23.6%
Lowercase Letter
ValueCountFrequency (%)
e 247
12.8%
o 231
12.0%
t 153
 
7.9%
i 128
 
6.6%
a 126
 
6.5%
n 111
 
5.8%
r 106
 
5.5%
l 102
 
5.3%
s 90
 
4.7%
b 69
 
3.6%
Other values (15) 567
29.4%
Other Punctuation
ValueCountFrequency (%)
' 2049
29.2%
: 1059
15.1%
, 971
13.8%
! 826
11.8%
. 763
 
10.9%
/ 458
 
6.5%
? 441
 
6.3%
* 251
 
3.6%
& 139
 
2.0%
% 40
 
0.6%
Other values (4) 19
 
0.3%
Decimal Number
ValueCountFrequency (%)
0 2917
26.2%
5 2116
19.0%
2 2047
18.4%
1 1721
15.4%
3 670
 
6.0%
4 642
 
5.8%
6 302
 
2.7%
9 265
 
2.4%
8 244
 
2.2%
7 228
 
2.0%
Other Number
ValueCountFrequency (%)
① 28
33.7%
② 25
30.1%
③ 17
20.5%
④ 7
 
8.4%
⑥ 3
 
3.6%
⑧ 1
 
1.2%
⑤ 1
 
1.2%
⑦ 1
 
1.2%
Open Punctuation
ValueCountFrequency (%)
[ 5173
60.6%
( 3273
38.4%
「 80
 
0.9%
『 4
 
< 0.1%
【 3
 
< 0.1%
{ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
] 5172
60.6%
) 3273
38.4%
」 80
 
0.9%
』 4
 
< 0.1%
】 3
 
< 0.1%
} 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
+ 1649
74.8%
< 234
 
10.6%
> 234
 
10.6%
~ 82
 
3.7%
= 5
 
0.2%
× 1
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
★ 4
36.4%
│ 3
27.3%
℃ 2
18.2%
♪ 1
 
9.1%
♬ 1
 
9.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 10
55.6%
Ⅰ 7
38.9%
Ⅲ 1
 
5.6%
Initial Punctuation
ValueCountFrequency (%)
‘ 61
70.9%
“ 25
29.1%
Final Punctuation
ValueCountFrequency (%)
’ 60
71.4%
” 24
 
28.6%
Space Separator
ValueCountFrequency (%)
41313
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1088
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 392
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 169964
66.4%
Common 80499
31.5%
Latin 5232
 
2.0%
Han 91
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 4706
 
2.8%
인 3259
 
1.9%
사 2867
 
1.7%
스 2718
 
1.6%
는 2643
 
1.6%
이 2516
 
1.5%
로 2276
 
1.3%
리 2273
 
1.3%
교 2169
 
1.3%
하 2120
 
1.2%
Other values (998) 142417
83.8%
Common
ValueCountFrequency (%)
41313
51.3%
[ 5173
 
6.4%
] 5172
 
6.4%
) 3273
 
4.1%
( 3273
 
4.1%
0 2917
 
3.6%
5 2116
 
2.6%
' 2049
 
2.5%
2 2047
 
2.5%
1 1721
 
2.1%
Other values (53) 11445
 
14.2%
Latin
ValueCountFrequency (%)
S 412
 
7.9%
T 383
 
7.3%
I 299
 
5.7%
N 285
 
5.4%
A 255
 
4.9%
e 247
 
4.7%
P 243
 
4.6%
o 231
 
4.4%
B 168
 
3.2%
D 166
 
3.2%
Other values (44) 2543
48.6%
Han
ValueCountFrequency (%)
茶 7
 
7.7%
茶 6
 
6.6%
步 6
 
6.6%
通 6
 
6.6%
幸 5
 
5.5%
路 4
 
4.4%
萬 4
 
4.4%
上 4
 
4.4%
酒 3
 
3.3%
耳 2
 
2.2%
Other values (41) 44
48.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 169956
66.4%
ASCII 85271
33.3%
None 175
 
0.1%
Punctuation 173
 
0.1%
Enclosed Alphanum 83
 
< 0.1%
CJK 82
 
< 0.1%
Number Forms 18
 
< 0.1%
CJK Compat Ideographs 9
 
< 0.1%
Compat Jamo 8
 
< 0.1%
Misc Symbols 6
 
< 0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41313
48.4%
[ 5173
 
6.1%
] 5172
 
6.1%
) 3273
 
3.8%
( 3273
 
3.8%
0 2917
 
3.4%
5 2116
 
2.5%
' 2049
 
2.4%
2 2047
 
2.4%
1 1721
 
2.0%
Other values (79) 16217
 
19.0%
Hangul
ValueCountFrequency (%)
기 4706
 
2.8%
인 3259
 
1.9%
사 2867
 
1.7%
스 2718
 
1.6%
는 2643
 
1.6%
이 2516
 
1.5%
로 2276
 
1.3%
리 2273
 
1.3%
교 2169
 
1.3%
하 2120
 
1.2%
Other values (996) 142409
83.8%
None
ValueCountFrequency (%)
」 80
45.7%
「 80
45.7%
』 4
 
2.3%
『 4
 
2.3%
【 3
 
1.7%
】 3
 
1.7%
× 1
 
0.6%
Punctuation
ValueCountFrequency (%)
‘ 61
35.3%
’ 60
34.7%
“ 25
14.5%
” 24
 
13.9%
※ 3
 
1.7%
Enclosed Alphanum
ValueCountFrequency (%)
① 28
33.7%
② 25
30.1%
③ 17
20.5%
④ 7
 
8.4%
⑥ 3
 
3.6%
⑧ 1
 
1.2%
⑤ 1
 
1.2%
⑦ 1
 
1.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 10
55.6%
Ⅰ 7
38.9%
Ⅲ 1
 
5.6%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 7
77.8%
老 1
 
11.1%
林 1
 
11.1%
CJK
ValueCountFrequency (%)
茶 6
 
7.3%
步 6
 
7.3%
通 6
 
7.3%
幸 5
 
6.1%
路 4
 
4.9%
萬 4
 
4.9%
上 4
 
4.9%
酒 3
 
3.7%
耳 2
 
2.4%
作 2
 
2.4%
Other values (38) 40
48.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 6
75.0%
ㅡ 2
 
25.0%
Misc Symbols
ValueCountFrequency (%)
★ 4
66.7%
♪ 1
 
16.7%
♬ 1
 
16.7%
Box Drawing
ValueCountFrequency (%)
│ 3
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 2
100.0%

등록시작일
Date

Distinct1175
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2017-12-11 00:00:00
Maximum2024-06-03 00:00:00
2024-05-11T05:54:26.786730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:54:27.724430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

등록종료일
Date

Distinct1758
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2017-12-20 00:00:00
Maximum2024-09-23 00:00:00
2024-05-11T05:54:28.327742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:54:29.040151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

강좌시작일
Date

Distinct1609
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2017-02-16 00:00:00
Maximum2024-09-24 00:00:00
2024-05-11T05:54:29.580245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:54:30.109216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

강좌종료일
Date

Distinct1668
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2017-03-16 00:00:00
Maximum2024-12-04 00:00:00
2024-05-11T05:54:30.676603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:54:31.311480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수업시간
Text

Distinct113
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T05:54:32.042731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.0005
Min length5

Characters and Unicode

Total characters50005
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)0.3%

Sample

1st row04:00
2nd row07:00
3rd row08:00
4th row08:00
5th row08:00
ValueCountFrequency (%)
02:00 1692
16.9%
12:00 1414
14.1%
08:00 1203
12.0%
16:00 803
 
8.0%
03:00 565
 
5.7%
04:00 479
 
4.8%
24:00 478
 
4.8%
06:00 478
 
4.8%
20:00 306
 
3.1%
18:00 290
 
2.9%
Other values (103) 2292
22.9%
2024-05-11T05:54:33.297038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 25666
51.3%
: 10000
 
20.0%
2 4328
 
8.7%
1 3707
 
7.4%
8 1574
 
3.1%
3 1501
 
3.0%
6 1426
 
2.9%
4 1176
 
2.4%
5 306
 
0.6%
9 181
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40005
80.0%
Other Punctuation 10000
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25666
64.2%
2 4328
 
10.8%
1 3707
 
9.3%
8 1574
 
3.9%
3 1501
 
3.8%
6 1426
 
3.6%
4 1176
 
2.9%
5 306
 
0.8%
9 181
 
0.5%
7 140
 
0.3%
Other Punctuation
ValueCountFrequency (%)
: 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 50005
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 25666
51.3%
: 10000
 
20.0%
2 4328
 
8.7%
1 3707
 
7.4%
8 1574
 
3.1%
3 1501
 
3.0%
6 1426
 
2.9%
4 1176
 
2.4%
5 306
 
0.6%
9 181
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50005
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 25666
51.3%
: 10000
 
20.0%
2 4328
 
8.7%
1 3707
 
7.4%
8 1574
 
3.1%
3 1501
 
3.0%
6 1426
 
2.9%
4 1176
 
2.4%
5 306
 
0.6%
9 181
 
0.4%

정원
Real number (ℝ)

MISSING 

Distinct140
Distinct (%)1.6%
Missing1437
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean22.645685
Minimum1
Maximum1150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T05:54:34.023743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q112
median15
Q320
95-th percentile50
Maximum1150
Range1149
Interquartile range (IQR)8

Descriptive statistics

Standard deviation37.066632
Coefficient of variation (CV)1.6368077
Kurtosis349.69954
Mean22.645685
Median Absolute Deviation (MAD)5
Skewness15.096268
Sum193915
Variance1373.9352
MonotonicityNot monotonic
2024-05-11T05:54:34.986804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 1913
19.1%
15 1580
15.8%
10 1085
10.8%
30 479
 
4.8%
12 440
 
4.4%
8 280
 
2.8%
25 219
 
2.2%
50 218
 
2.2%
16 201
 
2.0%
13 190
 
1.9%
Other values (130) 1958
19.6%
(Missing) 1437
14.4%
ValueCountFrequency (%)
1 40
 
0.4%
2 31
 
0.3%
3 32
 
0.3%
4 41
 
0.4%
5 99
 
1.0%
6 129
 
1.3%
7 81
 
0.8%
8 280
 
2.8%
9 155
 
1.6%
10 1085
10.8%
ValueCountFrequency (%)
1150 1
 
< 0.1%
1100 1
 
< 0.1%
1000 2
< 0.1%
650 1
 
< 0.1%
600 4
< 0.1%
550 1
 
< 0.1%
500 1
 
< 0.1%
450 1
 
< 0.1%
432 1
 
< 0.1%
399 1
 
< 0.1%

강좌상태
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
마감
9642 
수강신청중
 
281
대기신청
 
52
수강신청예정
 
25

Length

Max length6
Median length2
Mean length2.1047
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수강신청중
2nd row마감
3rd row마감
4th row마감
5th row마감

Common Values

ValueCountFrequency (%)
마감 9642
96.4%
수강신청중 281
 
2.8%
대기신청 52
 
0.5%
수강신청예정 25
 
0.2%

Length

2024-05-11T05:54:35.648991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:54:36.298221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
마감 9642
96.4%
수강신청중 281
 
2.8%
대기신청 52
 
0.5%
수강신청예정 25
 
0.2%

강좌비용
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15720.54
Minimum0
Maximum800000
Zeros3757
Zeros (%)37.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T05:54:37.247935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10000
Q325000
95-th percentile50000
Maximum800000
Range800000
Interquartile range (IQR)25000

Descriptive statistics

Standard deviation21780.611
Coefficient of variation (CV)1.3854875
Kurtosis201.89577
Mean15720.54
Median Absolute Deviation (MAD)10000
Skewness7.7060529
Sum1.572054 × 108
Variance4.7439501 × 108
MonotonicityNot monotonic
2024-05-11T05:54:38.202440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3757
37.6%
20000 1498
 
15.0%
10000 1047
 
10.5%
30000 983
 
9.8%
5000 827
 
8.3%
40000 477
 
4.8%
50000 357
 
3.6%
60000 228
 
2.3%
25000 165
 
1.7%
15000 149
 
1.5%
Other values (47) 512
 
5.1%
ValueCountFrequency (%)
0 3757
37.6%
100 1
 
< 0.1%
1000 10
 
0.1%
2500 21
 
0.2%
3000 36
 
0.4%
4000 1
 
< 0.1%
5000 827
 
8.3%
6000 2
 
< 0.1%
6800 1
 
< 0.1%
7000 1
 
< 0.1%
ValueCountFrequency (%)
800000 1
 
< 0.1%
480000 1
 
< 0.1%
320000 2
 
< 0.1%
240000 1
 
< 0.1%
220000 2
 
< 0.1%
210000 1
 
< 0.1%
200000 1
 
< 0.1%
180000 1
 
< 0.1%
170000 1
 
< 0.1%
150000 9
0.1%

강좌상세화면
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T05:54:39.185389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length52
Mean length51.6754
Min length49

Characters and Unicode

Total characters516754
Distinct characters31
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

Unique10000 ?
Unique (%)100.0%

Sample

1st rowhttps://50plus.or.kr/education-detail.do?id=28550823
2nd rowhttps://50plus.or.kr/education-detail.do?id=30934030
3rd rowhttps://50plus.or.kr/education-detail.do?id=11373965
4th rowhttps://50plus.or.kr/education-detail.do?id=2976429
5th rowhttps://50plus.or.kr/education-detail.do?id=35725657
ValueCountFrequency (%)
https://50plus.or.kr/education-detail.do?id=28550823 1
 
< 0.1%
https://50plus.or.kr/education-detail.do?id=40265631 1
 
< 0.1%
https://50plus.or.kr/education-detail.do?id=10839338 1
 
< 0.1%
https://50plus.or.kr/education-detail.do?id=3128913 1
 
< 0.1%
https://50plus.or.kr/education-detail.do?id=35637916 1
 
< 0.1%
https://50plus.or.kr/education-detail.do?id=24678888 1
 
< 0.1%
https://50plus.or.kr/education-detail.do?id=38514099 1
 
< 0.1%
https://50plus.or.kr/education-detail.do?id=29329812 1
 
< 0.1%
https://50plus.or.kr/education-detail.do?id=26590488 1
 
< 0.1%
https://50plus.or.kr/education-detail.do?id=14965337 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-05-11T05:54:40.771883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
d 40000
 
7.7%
t 40000
 
7.7%
/ 30000
 
5.8%
o 30000
 
5.8%
. 30000
 
5.8%
i 30000
 
5.8%
l 20000
 
3.9%
s 20000
 
3.9%
r 20000
 
3.9%
e 20000
 
3.9%
Other values (21) 236754
45.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 320000
61.9%
Decimal Number 96754
 
18.7%
Other Punctuation 80000
 
15.5%
Dash Punctuation 10000
 
1.9%
Math Symbol 10000
 
1.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
d 40000
12.5%
t 40000
12.5%
o 30000
9.4%
i 30000
9.4%
l 20000
 
6.2%
s 20000
 
6.2%
r 20000
 
6.2%
e 20000
 
6.2%
p 20000
 
6.2%
a 20000
 
6.2%
Other values (5) 60000
18.8%
Decimal Number
ValueCountFrequency (%)
5 17059
17.6%
0 16777
17.3%
3 10521
10.9%
1 8801
9.1%
2 8622
8.9%
4 7178
7.4%
9 7135
7.4%
8 7056
7.3%
6 6812
 
7.0%
7 6793
 
7.0%
Other Punctuation
ValueCountFrequency (%)
/ 30000
37.5%
. 30000
37.5%
? 10000
 
12.5%
: 10000
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 10000
100.0%
Math Symbol
ValueCountFrequency (%)
= 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 320000
61.9%
Common 196754
38.1%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 30000
15.2%
. 30000
15.2%
5 17059
 
8.7%
0 16777
 
8.5%
3 10521
 
5.3%
- 10000
 
5.1%
= 10000
 
5.1%
? 10000
 
5.1%
: 10000
 
5.1%
1 8801
 
4.5%
Other values (6) 43596
22.2%
Latin
ValueCountFrequency (%)
d 40000
12.5%
t 40000
12.5%
o 30000
9.4%
i 30000
9.4%
l 20000
 
6.2%
s 20000
 
6.2%
r 20000
 
6.2%
e 20000
 
6.2%
p 20000
 
6.2%
a 20000
 
6.2%
Other values (5) 60000
18.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 516754
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
d 40000
 
7.7%
t 40000
 
7.7%
/ 30000
 
5.8%
o 30000
 
5.8%
. 30000
 
5.8%
i 30000
 
5.8%
l 20000
 
3.9%
s 20000
 
3.9%
r 20000
 
3.9%
e 20000
 
3.9%
Other values (21) 236754
45.8%

Interactions

2024-05-11T05:54:20.687838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:54:18.511815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:54:19.579351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:54:21.114009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:54:18.911502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:54:20.034216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:54:21.483327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:54:19.255459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:54:20.369697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T05:54:41.168110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
강좌번호정원강좌상태강좌비용
강좌번호1.0000.0560.2260.063
정원0.0561.0000.0000.000
강좌상태0.2260.0001.0000.000
강좌비용0.0630.0000.0001.000
2024-05-11T05:54:41.544531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
강좌번호정원강좌비용강좌상태
강좌번호1.000-0.057-0.0630.137
정원-0.0571.000-0.2350.000
강좌비용-0.063-0.2351.0000.000
강좌상태0.1370.0000.0001.000

Missing values

2024-05-11T05:54:22.076605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T05:54:22.713579image/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

강좌번호강좌명등록시작일등록종료일강좌시작일강좌종료일수업시간정원강좌상태강좌비용강좌상세화면
619028550823[원데이스쿨] 처음 핸드드립 (9월 야간반)2022.09.012022.09.202022.09.212022.09.2804:008수강신청중5000https://50plus.or.kr/education-detail.do?id=28550823
499330934030[일활동] 50+내 일자리 바로알기(2차:2월 27일)2023.02.072023.03.072023.02.272023.02.2707:0030마감0https://50plus.or.kr/education-detail.do?id=30934030
994311373965이력서?경력기술서 한글 문서작성(5월)2021.04.122021.05.022021.05.032021.05.2408:0015마감20000https://50plus.or.kr/education-detail.do?id=11373965
132992976429친절한 안나샘 오카리나2019.01.022019.01.132019.01.142019.02.1108:00<NA>마감20000https://50plus.or.kr/education-detail.do?id=2976429
238435725657궁궐의 나무이야기_10월2023.09.112023.10.052023.10.062023.10.2708:0020마감5000https://50plus.or.kr/education-detail.do?id=35725657
485931071341[인생설계-디지털음향교실] 쉽게 배우는 음향기기 교실 기초 - (야간)2023.02.172023.03.092023.03.132023.04.1712:0012마감24000https://50plus.or.kr/education-detail.do?id=31071341
10339833715바리스타 2급 자격증 취득반2024.04.222024.05.052024.05.102024.06.2824:0010마감50000https://50plus.or.kr/education-detail.do?id=39833715
118086519283[인생플러스교실] Job이 있는 내일, 취풍당당!2019.10.182019.11.062019.11.072019.12.1212:0025마감0https://50plus.or.kr/education-detail.do?id=6519283
965412647388[행복]슬기로운 패션생활, 중년을 빛나게 할 패션 꿀팁 !2021.06.182021.06.282021.07.092021.08.1312:009마감0https://50plus.or.kr/education-detail.do?id=12647388
342633528528[2023 사이특강_온라인 : 9월] 도전하기 늦은 나이는 없다2023.06.122023.09.192023.09.192023.09.1901:30200마감0https://50plus.or.kr/education-detail.do?id=33528528
강좌번호강좌명등록시작일등록종료일강좌시작일강좌종료일수업시간정원강좌상태강좌비용강좌상세화면
846219615647[3.28_월] 서부독립극장 : 영화의 거리2022.02.112022.03.282022.03.282022.03.2803:0030마감0https://50plus.or.kr/education-detail.do?id=19615647
686827545537[50+오락실] 8월 26일 (금) 오락실자유이용권2022.07.202022.08.232022.08.262022.08.2605:006마감8000https://50plus.or.kr/education-detail.do?id=27545537
12925361329450+세대를 위한 소도구 필라테스2019.03.042019.03.152019.03.182019.05.1516:00<NA>마감30000https://50plus.or.kr/education-detail.do?id=3613294
270335166810[ 인생설계 ] 2050세대융합! 디지털금융교육강사양성과정2023.08.182023.10.132023.09.262023.11.1412:004마감0https://50plus.or.kr/education-detail.do?id=35166810
710526925289[특강] 50+ 진로탐색과 일자리 유형 알아보기2022.06.212022.07.282022.07.292022.07.2902:0015마감5000https://50plus.or.kr/education-detail.do?id=26925289
229535720504일주일이 든든한 밑반찬 만들기 *요리교실*2023.09.132023.10.182023.10.202023.12.0824:0010마감40000https://50plus.or.kr/education-detail.do?id=35720504
935913156692자전거 정비사 과정 6기2021.08.092021.09.022021.09.022021.11.1836:0015마감60000https://50plus.or.kr/education-detail.do?id=13156692
785724196226[상반기 등대교실] 팝아트 초상화 <초급>2022.04.042022.04.152022.04.192022.05.1710:0010마감5000https://50plus.or.kr/education-detail.do?id=24196226
115037897937[함께하는 학교/인생설계]심리상담사와 함께하는 치유 워크숍2024.02.012024.03.072024.03.082024.03.2908:0019마감5000https://50plus.or.kr/education-detail.do?id=37897937
116347315772행복하면서 성공하라 - 비공개2020.02.032020.02.192020.04.222020.05.1308:0020마감0https://50plus.or.kr/education-detail.do?id=7315772