Overview

Dataset statistics

Number of variables33
Number of observations931
Missing cells2897
Missing cells (%)9.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory251.1 KiB
Average record size in memory276.1 B

Variable types

Categorical13
Text8
Numeric4
Boolean4
DateTime1
Unsupported3

Dataset

Description아이디,강의 아이디,강의 카테고리 아이디,강의 카테고리명,강의 명,비용,강의 구분,주차 사용 여부,분반 일련번호,수강신청 시작 일자,강의 시작 일자,등록 일자,수강신청 시작 일자,콘텐츠 미리보기 url,콘텐츠 미리보기 url,콘텐츠 미리보기 url,수료증 로트 명,기관 아이디,기관명,기관 구,X좌표,Y좌표,요청여부,인기여부,신규여부,상태,강의 이미지 파일 경로,수집데이터 아이디,과목 아이디,미리보기 주소,콘텐츠 아이디,회차번호,회차수
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-2562/S/1/datasetView.do

Alerts

아이디 has constant value ""Constant
비용 has constant value ""Constant
강의 구분 has constant value ""Constant
주차 사용 여부 has constant value ""Constant
분반 일련번호 has constant value ""Constant
수강신청 시작 일자.1 has constant value ""Constant
상태 has constant value ""Constant
회차수 has constant value ""Constant
수강신청 시작 일자 is highly imbalanced (86.8%)Imbalance
기관 구 is highly imbalanced (63.0%)Imbalance
요청여부 is highly imbalanced (98.8%)Imbalance
인기여부 is highly imbalanced (96.9%)Imbalance
신규여부 is highly imbalanced (96.9%)Imbalance
콘텐츠 미리보기 url has 931 (100.0%) missing valuesMissing
수료증 로트 명 has 931 (100.0%) missing valuesMissing
X좌표 has 51 (5.5%) missing valuesMissing
Y좌표 has 51 (5.5%) missing valuesMissing
수집데이터 아이디 has 931 (100.0%) missing valuesMissing
강의 아이디 has unique valuesUnique
콘텐츠 아이디 has unique valuesUnique
회차번호 has unique valuesUnique
콘텐츠 미리보기 url is an unsupported type, check if it needs cleaning or further analysisUnsupported
수료증 로트 명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수집데이터 아이디 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 21:57:44.278143
Analysis finished2024-04-29 21:57:45.478172
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
ASP00001
931 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowASP00001
2nd rowASP00001
3rd rowASP00001
4th rowASP00001
5th rowASP00001

Common Values

ValueCountFrequency (%)
ASP00001 931
100.0%

Length

2024-04-30T06:57:45.539472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T06:57:45.626515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
asp00001 931
100.0%

강의 아이디
Text

UNIQUE 

Distinct931
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2024-04-30T06:57:45.787543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length23.891515
Min length20

Characters and Unicode

Total characters22243
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique931 ?
Unique (%)100.0%

Sample

1st rowASP00001S100120240107207
2nd rowASP00001S100120240107208
3rd rowASP00001S100120240107206
4th rowASP00001S100120240107193
5th rowASP00001S100120240107180
ValueCountFrequency (%)
asp00001s100120240107207 1
 
0.1%
asp00001s400720230000015 1
 
0.1%
asp00001s100120220104624 1
 
0.1%
asp00001s305220230000817 1
 
0.1%
asp00001s305220230000821 1
 
0.1%
asp00001s305220230000824 1
 
0.1%
asp00001s400720230000017 1
 
0.1%
asp00001s305220230000823 1
 
0.1%
asp00001s400720230000005 1
 
0.1%
asp00001s400720230000021 1
 
0.1%
Other values (921) 921
98.9%
2024-04-30T06:57:46.147045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8955
40.3%
1 3942
17.7%
2 2284
 
10.3%
S 1803
 
8.1%
P 919
 
4.1%
A 915
 
4.1%
6 655
 
2.9%
4 610
 
2.7%
3 602
 
2.7%
5 474
 
2.1%
Other values (10) 1084
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18474
83.1%
Uppercase Letter 3753
 
16.9%
Connector Punctuation 16
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8955
48.5%
1 3942
21.3%
2 2284
 
12.4%
6 655
 
3.5%
4 610
 
3.3%
3 602
 
3.3%
5 474
 
2.6%
8 321
 
1.7%
7 320
 
1.7%
9 311
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
S 1803
48.0%
P 919
24.5%
A 915
24.4%
K 44
 
1.2%
I 34
 
0.9%
J 24
 
0.6%
H 7
 
0.2%
E 4
 
0.1%
Z 3
 
0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18490
83.1%
Latin 3753
 
16.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8955
48.4%
1 3942
21.3%
2 2284
 
12.4%
6 655
 
3.5%
4 610
 
3.3%
3 602
 
3.3%
5 474
 
2.6%
8 321
 
1.7%
7 320
 
1.7%
9 311
 
1.7%
Latin
ValueCountFrequency (%)
S 1803
48.0%
P 919
24.5%
A 915
24.4%
K 44
 
1.2%
I 34
 
0.9%
J 24
 
0.6%
H 7
 
0.2%
E 4
 
0.1%
Z 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22243
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8955
40.3%
1 3942
17.7%
2 2284
 
10.3%
S 1803
 
8.1%
P 919
 
4.1%
A 915
 
4.1%
6 655
 
2.9%
4 610
 
2.7%
3 602
 
2.7%
5 474
 
2.1%
Other values (10) 1084
 
4.9%

강의 카테고리 아이디
Real number (ℝ)

Distinct43
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7800967 × 1014
Minimum2.0210201 × 1012
Maximum2.0230328 × 1014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-04-30T06:57:46.306114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0210201 × 1012
5-th percentile2.0230313 × 1013
Q12.0200304 × 1014
median2.023031 × 1014
Q32.0230313 × 1014
95-th percentile2.0230314 × 1014
Maximum2.0230328 × 1014
Range2.0028226 × 1014
Interquartile range (IQR)3.0009375 × 1011

Descriptive statistics

Standard deviation6.2586592 × 1013
Coefficient of variation (CV)0.35159096
Kurtosis2.9215078
Mean1.7800967 × 1014
Median Absolute Deviation (MAD)38916931
Skewness-2.2128658
Sum1.6572701 × 1017
Variance3.9170815 × 1027
MonotonicityNot monotonic
2024-04-30T06:57:46.442848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
202303136122092 160
17.2%
202303097205161 115
 
12.4%
20230313417069 65
 
7.0%
201110316382782 49
 
5.3%
202003038826530 49
 
5.3%
202102163078113 37
 
4.0%
202303091845572 34
 
3.7%
2021020122009 26
 
2.8%
202303132406987 25
 
2.7%
202303131308037 25
 
2.7%
Other values (33) 346
37.2%
ValueCountFrequency (%)
2021020122009 26
 
2.8%
20230309878567 14
 
1.5%
20230313411620 16
 
1.7%
20230313417069 65
7.0%
201110314130447 8
 
0.9%
201110316382782 49
5.3%
201110319842865 8
 
0.9%
201701122130574 1
 
0.1%
202003038826530 49
5.3%
202003045213116 4
 
0.4%
ValueCountFrequency (%)
202303276761150 21
 
2.3%
202303275686726 3
 
0.3%
202303272762812 8
 
0.9%
202303139574040 8
 
0.9%
202303137022921 15
 
1.6%
202303136122092 160
17.2%
202303135026354 12
 
1.3%
202303132575722 12
 
1.3%
202303132406987 25
 
2.7%
202303131308037 25
 
2.7%

강의 카테고리명
Categorical

Distinct41
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
사회/교양
160 
콘텐츠산업 전문과정
115 
기타
82 
멀티미디어
49 
영어
49 
Other values (36)
476 

Length

Max length10
Median length8
Mean length5.104189
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row전문기술과정
2nd row전문기술과정
3rd row전문기술과정
4th row기타
5th row셀프브랜딩

Common Values

ValueCountFrequency (%)
사회/교양 160
17.2%
콘텐츠산업 전문과정 115
 
12.4%
기타 82
 
8.8%
멀티미디어 49
 
5.3%
영어 49
 
5.3%
건강관리 37
 
4.0%
방송/영상 34
 
3.7%
국가기술자격 26
 
2.8%
공인중개사 연수교육 25
 
2.7%
금융 25
 
2.7%
Other values (31) 329
35.3%

Length

2024-04-30T06:57:46.586174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사회/교양 160
14.9%
전문과정 115
 
10.7%
콘텐츠산업 115
 
10.7%
기타 82
 
7.7%
멀티미디어 49
 
4.6%
영어 49
 
4.6%
공인중개사 43
 
4.0%
건강관리 37
 
3.5%
방송/영상 34
 
3.2%
국가기술자격 26
 
2.4%
Other values (32) 361
33.7%

강의 명
Text

Distinct930
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2024-04-30T06:57:46.808414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length52
Mean length26.876477
Min length6

Characters and Unicode

Total characters25022
Distinct characters716
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique929 ?
Unique (%)99.8%

Sample

1st row[오늘부터 정시퇴근] 파워포인트 실무 테크닉 완전정복편
2nd row한글 2022 제대로 배우기 완전정복편
3rd row일잘러의 진짜 엑셀 완전정복편
4th row2024년 서울특별시의회 의정모니터 교육
5th row[북콘서트] 인생을 바꾸는 커리어 멘토링
ValueCountFrequency (%)
338
 
6.0%
위한 73
 
1.3%
교육 56
 
1.0%
및 49
 
0.9%
콘텐츠 48
 
0.9%
공인중개사 43
 
0.8%
박문각 33
 
0.6%
게임 32
 
0.6%
서울산업진흥원 32
 
0.6%
내 31
 
0.6%
Other values (2205) 4871
86.9%
2024-04-30T06:57:47.194143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4683
 
18.7%
이 386
 
1.5%
- 378
 
1.5%
사 372
 
1.5%
기 333
 
1.3%
] 329
 
1.3%
[ 329
 
1.3%
인 292
 
1.2%
의 271
 
1.1%
시 241
 
1.0%
Other values (706) 17408
69.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16879
67.5%
Space Separator 4683
 
18.7%
Uppercase Letter 710
 
2.8%
Lowercase Letter 562
 
2.2%
Close Punctuation 448
 
1.8%
Open Punctuation 448
 
1.8%
Decimal Number 426
 
1.7%
Dash Punctuation 382
 
1.5%
Other Punctuation 348
 
1.4%
Connector Punctuation 59
 
0.2%
Other values (5) 77
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 386
 
2.3%
사 372
 
2.2%
기 333
 
2.0%
인 292
 
1.7%
의 271
 
1.6%
시 241
 
1.4%
리 234
 
1.4%
교 233
 
1.4%
지 225
 
1.3%
육 215
 
1.3%
Other values (615) 14077
83.4%
Uppercase Letter
ValueCountFrequency (%)
S 95
13.4%
T 72
 
10.1%
P 72
 
10.1%
A 52
 
7.3%
U 39
 
5.5%
O 38
 
5.4%
H 35
 
4.9%
W 35
 
4.9%
C 32
 
4.5%
M 31
 
4.4%
Other values (15) 209
29.4%
Lowercase Letter
ValueCountFrequency (%)
e 95
16.9%
t 86
15.3%
p 56
10.0%
o 48
8.5%
a 38
 
6.8%
r 36
 
6.4%
i 30
 
5.3%
n 23
 
4.1%
h 20
 
3.6%
u 20
 
3.6%
Other values (13) 110
19.6%
Decimal Number
ValueCountFrequency (%)
2 142
33.3%
1 119
27.9%
0 68
16.0%
3 41
 
9.6%
5 21
 
4.9%
4 17
 
4.0%
6 9
 
2.1%
8 6
 
1.4%
7 2
 
0.5%
9 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 142
40.8%
? 65
18.7%
: 46
 
13.2%
! 46
 
13.2%
. 36
 
10.3%
/ 5
 
1.4%
& 4
 
1.1%
＆ 3
 
0.9%
* 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
] 329
73.4%
) 117
 
26.1%
』 1
 
0.2%
」 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
[ 329
73.4%
( 117
 
26.1%
『 1
 
0.2%
「 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
+ 9
32.1%
> 8
28.6%
< 8
28.6%
~ 3
 
10.7%
Letter Number
ValueCountFrequency (%)
Ⅰ 28
84.8%
Ⅱ 4
 
12.1%
Ⅲ 1
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 378
99.0%
－ 4
 
1.0%
Final Punctuation
ValueCountFrequency (%)
” 6
85.7%
’ 1
 
14.3%
Initial Punctuation
ValueCountFrequency (%)
“ 6
85.7%
‘ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
4683
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 59
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16878
67.5%
Common 6838
27.3%
Latin 1305
 
5.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 386
 
2.3%
사 372
 
2.2%
기 333
 
2.0%
인 292
 
1.7%
의 271
 
1.6%
시 241
 
1.4%
리 234
 
1.4%
교 233
 
1.4%
지 225
 
1.3%
육 215
 
1.3%
Other values (614) 14076
83.4%
Latin
ValueCountFrequency (%)
e 95
 
7.3%
S 95
 
7.3%
t 86
 
6.6%
T 72
 
5.5%
P 72
 
5.5%
p 56
 
4.3%
A 52
 
4.0%
o 48
 
3.7%
U 39
 
3.0%
a 38
 
2.9%
Other values (41) 652
50.0%
Common
ValueCountFrequency (%)
4683
68.5%
- 378
 
5.5%
] 329
 
4.8%
[ 329
 
4.8%
2 142
 
2.1%
, 142
 
2.1%
1 119
 
1.7%
) 117
 
1.7%
( 117
 
1.7%
0 68
 
1.0%
Other values (30) 414
 
6.1%
Han
ValueCountFrequency (%)
史 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16878
67.5%
ASCII 8085
32.3%
Number Forms 33
 
0.1%
Punctuation 14
 
0.1%
None 11
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4683
57.9%
- 378
 
4.7%
] 329
 
4.1%
[ 329
 
4.1%
2 142
 
1.8%
, 142
 
1.8%
1 119
 
1.5%
) 117
 
1.4%
( 117
 
1.4%
e 95
 
1.2%
Other values (68) 1634
 
20.2%
Hangul
ValueCountFrequency (%)
이 386
 
2.3%
사 372
 
2.2%
기 333
 
2.0%
인 292
 
1.7%
의 271
 
1.6%
시 241
 
1.4%
리 234
 
1.4%
교 233
 
1.4%
지 225
 
1.3%
육 215
 
1.3%
Other values (614) 14076
83.4%
Number Forms
ValueCountFrequency (%)
Ⅰ 28
84.8%
Ⅱ 4
 
12.1%
Ⅲ 1
 
3.0%
Punctuation
ValueCountFrequency (%)
” 6
42.9%
“ 6
42.9%
‘ 1
 
7.1%
’ 1
 
7.1%
None
ValueCountFrequency (%)
－ 4
36.4%
＆ 3
27.3%
』 1
 
9.1%
『 1
 
9.1%
」 1
 
9.1%
「 1
 
9.1%
CJK
ValueCountFrequency (%)
史 1
100.0%

비용
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
무료
931 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무료 931
100.0%

Length

2024-04-30T06:57:47.307148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T06:57:47.387822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 931
100.0%

강의 구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
1
931 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 931
100.0%

Length

2024-04-30T06:57:47.478606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T06:57:47.572251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 931
100.0%

주차 사용 여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
False
931 
ValueCountFrequency (%)
False 931
100.0%
2024-04-30T06:57:47.642446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

분반 일련번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
1
931 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 931
100.0%

Length

2024-04-30T06:57:47.735703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T06:57:47.822042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 931
100.0%

수강신청 시작 일자
Categorical

IMBALANCE 

Distinct15
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2024.01.01~2024.12.31
874 
2024.04.08~2024.12.31
 
22
2024.01.08~2024.12.31
 
7
2024.03.11~2024.12.31
 
6
2024.03.01~2024.12.31
 
4
Other values (10)
 
18

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st row2024.04.25~2024.12.31
2nd row2024.04.25~2024.12.31
3rd row2024.04.25~2024.12.31
4th row2024.04.09~2024.12.31
5th row2024.04.08~2024.12.31

Common Values

ValueCountFrequency (%)
2024.01.01~2024.12.31 874
93.9%
2024.04.08~2024.12.31 22
 
2.4%
2024.01.08~2024.12.31 7
 
0.8%
2024.03.11~2024.12.31 6
 
0.6%
2024.03.01~2024.12.31 4
 
0.4%
2024.02.13~2024.12.31 4
 
0.4%
2024.04.25~2024.12.31 3
 
0.3%
2021.01.01~2024.12.31 3
 
0.3%
2024.03.03~2024.12.31 2
 
0.2%
2024.04.09~2024.12.31 1
 
0.1%
Other values (5) 5
 
0.5%

Length

2024-04-30T06:57:47.902380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2024.01.01~2024.12.31 874
93.9%
2024.04.08~2024.12.31 22
 
2.4%
2024.01.08~2024.12.31 7
 
0.8%
2024.03.11~2024.12.31 6
 
0.6%
2024.03.01~2024.12.31 4
 
0.4%
2024.02.13~2024.12.31 4
 
0.4%
2024.04.25~2024.12.31 3
 
0.3%
2021.01.01~2024.12.31 3
 
0.3%
2024.03.03~2024.12.31 2
 
0.2%
2024.04.09~2024.12.31 1
 
0.1%
Other values (5) 5
 
0.5%

강의 시작 일자
Categorical

Distinct9
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
수강신청일로부터30일
359 
수강신청일로부터7일
311 
수강신청일로부터2일
186 
수강신청일로부터15일
61 
수강신청일로부터14일
 
10
Other values (4)
 
4

Length

Max length11
Median length10
Mean length10.464017
Min length10

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st row수강신청일로부터30일
2nd row수강신청일로부터30일
3rd row수강신청일로부터30일
4th row수강신청일로부터15일
5th row수강신청일로부터30일

Common Values

ValueCountFrequency (%)
수강신청일로부터30일 359
38.6%
수강신청일로부터7일 311
33.4%
수강신청일로부터2일 186
20.0%
수강신청일로부터15일 61
 
6.6%
수강신청일로부터14일 10
 
1.1%
수강신청일로부터60일 1
 
0.1%
수강신청일로부터10일 1
 
0.1%
수강신청일로부터3일 1
 
0.1%
수강신청일로부터5일 1
 
0.1%

Length

2024-04-30T06:57:47.999427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T06:57:48.092737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수강신청일로부터30일 359
38.6%
수강신청일로부터7일 311
33.4%
수강신청일로부터2일 186
20.0%
수강신청일로부터15일 61
 
6.6%
수강신청일로부터14일 10
 
1.1%
수강신청일로부터60일 1
 
0.1%
수강신청일로부터10일 1
 
0.1%
수강신청일로부터3일 1
 
0.1%
수강신청일로부터5일 1
 
0.1%

등록 일자
Date

Distinct165
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
Minimum2016-05-26 00:00:00
Maximum2024-04-24 00:00:00
2024-04-30T06:57:48.210814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T06:57:48.332291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수강신청 시작 일자.1
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
-
931 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 931
100.0%

Length

2024-04-30T06:57:48.474021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T06:57:48.556477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
931
100.0%

콘텐츠 미리보기 url
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing931
Missing (%)100.0%
Memory size8.3 KiB

콘텐츠 미리보기 url.1
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
<NA>
750 
0
181 

Length

Max length4
Median length4
Mean length3.4167562
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 750
80.6%
0 181
 
19.4%

Length

2024-04-30T06:57:48.657361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T06:57:48.750881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 750
80.6%
0 181
 
19.4%

콘텐츠 미리보기 url.2
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
<NA>
750 
0
181 

Length

Max length4
Median length4
Mean length3.4167562
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 750
80.6%
0 181
 
19.4%

Length

2024-04-30T06:57:48.871505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T06:57:48.966277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 750
80.6%
0 181
 
19.4%

수료증 로트 명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing931
Missing (%)100.0%
Memory size8.3 KiB

기관 아이디
Text

Distinct78
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2024-04-30T06:57:49.156878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length5
Mean length5.1568206
Min length5

Characters and Unicode

Total characters4801
Distinct characters19
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

Unique35 ?
Unique (%)3.8%

Sample

1st rowS1001
2nd rowS1001
3rd rowS1001
4th rowS1001
5th rowS1001
ValueCountFrequency (%)
s1001 592
63.6%
k1626 47
 
5.0%
s4007 27
 
2.9%
z1050 20
 
2.1%
s3052 18
 
1.9%
s10003 18
 
1.9%
s3029 14
 
1.5%
2810012 13
 
1.4%
s10006 12
 
1.3%
2910011 12
 
1.3%
Other values (68) 158
 
17.0%
2024-04-30T06:57:49.509856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1677
34.9%
1 1492
31.1%
S 759
15.8%
2 186
 
3.9%
6 121
 
2.5%
3 119
 
2.5%
4 90
 
1.9%
9 82
 
1.7%
K 68
 
1.4%
5 56
 
1.2%
Other values (9) 151
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3906
81.4%
Uppercase Letter 895
 
18.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1677
42.9%
1 1492
38.2%
2 186
 
4.8%
6 121
 
3.1%
3 119
 
3.0%
4 90
 
2.3%
9 82
 
2.1%
5 56
 
1.4%
8 46
 
1.2%
7 37
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
S 759
84.8%
K 68
 
7.6%
Z 25
 
2.8%
J 17
 
1.9%
P 14
 
1.6%
H 7
 
0.8%
E 3
 
0.3%
L 1
 
0.1%
M 1
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 3906
81.4%
Latin 895
 
18.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1677
42.9%
1 1492
38.2%
2 186
 
4.8%
6 121
 
3.1%
3 119
 
3.0%
4 90
 
2.3%
9 82
 
2.1%
5 56
 
1.4%
8 46
 
1.2%
7 37
 
0.9%
Latin
ValueCountFrequency (%)
S 759
84.8%
K 68
 
7.6%
Z 25
 
2.8%
J 17
 
1.9%
P 14
 
1.6%
H 7
 
0.8%
E 3
 
0.3%
L 1
 
0.1%
M 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4801
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1677
34.9%
1 1492
31.1%
S 759
15.8%
2 186
 
3.9%
6 121
 
2.5%
3 119
 
2.5%
4 90
 
1.9%
9 82
 
1.7%
K 68
 
1.4%
5 56
 
1.2%
Other values (9) 151
 
3.1%

기관명
Text

Distinct78
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2024-04-30T06:57:49.705861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length10
Mean length9.7959184
Min length4

Characters and Unicode

Total characters9120
Distinct characters168
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)3.8%

Sample

1st row서울시(평생교육과)
2nd row서울시(평생교육과)
3rd row서울시(평생교육과)
4th row서울시(평생교육과)
5th row서울시(평생교육과)
ValueCountFrequency (%)
서울시(평생교육과 592
60.0%
서울산업진흥원 47
 
4.8%
서울시(체육진흥과 27
 
2.7%
한국콘텐츠아카데미 20
 
2.0%
서울시복지재단 18
 
1.8%
서울시어르신취업지원센터 18
 
1.8%
한국저작권위원회 14
 
1.4%
시립광진청소년센터 13
 
1.3%
서울시민대학 13
 
1.3%
에너지정보문화재단 12
 
1.2%
Other values (84) 212
 
21.5%
2024-04-30T06:57:50.029575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
서 793
 
8.7%
울 793
 
8.7%
시 761
 
8.3%
) 666
 
7.3%
( 666
 
7.3%
과 657
 
7.2%
육 638
 
7.0%
교 614
 
6.7%
생 600
 
6.6%
평 592
 
6.5%
Other values (158) 2340
25.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7730
84.8%
Close Punctuation 666
 
7.3%
Open Punctuation 666
 
7.3%
Space Separator 55
 
0.6%
Uppercase Letter 2
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 793
 
10.3%
울 793
 
10.3%
시 761
 
9.8%
과 657
 
8.5%
육 638
 
8.3%
교 614
 
7.9%
생 600
 
7.8%
평 592
 
7.7%
원 126
 
1.6%
진 100
 
1.3%
Other values (152) 2056
26.6%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
K 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 666
100.0%
Open Punctuation
ValueCountFrequency (%)
( 666
100.0%
Space Separator
ValueCountFrequency (%)
55
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7730
84.8%
Common 1388
 
15.2%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 793
 
10.3%
울 793
 
10.3%
시 761
 
9.8%
과 657
 
8.5%
육 638
 
8.3%
교 614
 
7.9%
생 600
 
7.8%
평 592
 
7.7%
원 126
 
1.6%
진 100
 
1.3%
Other values (152) 2056
26.6%
Common
ValueCountFrequency (%)
) 666
48.0%
( 666
48.0%
55
 
4.0%
1 1
 
0.1%
Latin
ValueCountFrequency (%)
C 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7730
84.8%
ASCII 1390
 
15.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
서 793
 
10.3%
울 793
 
10.3%
시 761
 
9.8%
과 657
 
8.5%
육 638
 
8.3%
교 614
 
7.9%
생 600
 
7.8%
평 592
 
7.7%
원 126
 
1.6%
진 100
 
1.3%
Other values (152) 2056
26.6%
ASCII
ValueCountFrequency (%)
) 666
47.9%
( 666
47.9%
55
 
4.0%
C 1
 
0.1%
K 1
 
0.1%
1 1
 
0.1%

기관 구
Categorical

IMBALANCE 

Distinct30
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
중구
688 
<NA>
 
49
용산구
 
47
종로구
 
24
양천구
 
21
Other values (25)
102 

Length

Max length5
Median length2
Mean length2.3265306
Min length2

Unique

Unique10 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
중구 688
73.9%
<NA> 49
 
5.3%
용산구 47
 
5.0%
종로구 24
 
2.6%
양천구 21
 
2.3%
광진구 13
 
1.4%
강동구 13
 
1.4%
금천구 12
 
1.3%
영등포구 11
 
1.2%
경기도 7
 
0.8%
Other values (20) 46
 
4.9%

Length

2024-04-30T06:57:50.162511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
중구 689
74.0%
na 49
 
5.3%
용산구 47
 
5.0%
종로구 24
 
2.6%
양천구 21
 
2.3%
광진구 13
 
1.4%
강동구 13
 
1.4%
금천구 13
 
1.4%
영등포구 11
 
1.2%
경기도 7
 
0.8%
Other values (17) 44
 
4.7%

X좌표
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)5.6%
Missing51
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean38.781605
Minimum37.323043
Maximum127.4848
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-04-30T06:57:50.290416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.323043
5-th percentile37.52906
Q137.564512
median37.564512
Q337.564512
95-th percentile37.575981
Maximum127.4848
Range90.161757
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.392646
Coefficient of variation (CV)0.26797873
Kurtosis68.745161
Mean38.781605
Median Absolute Deviation (MAD)0
Skewness8.4016697
Sum34127.813
Variance108.00708
MonotonicityNot monotonic
2024-04-30T06:57:50.413168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
37.5645124 592
63.6%
37.5376128 47
 
5.0%
37.5665329 37
 
4.0%
37.52906 20
 
2.1%
37.575981 18
 
1.9%
37.566303 15
 
1.6%
37.5630589 15
 
1.6%
37.5645366 15
 
1.6%
37.5461755 13
 
1.4%
37.4803406 12
 
1.3%
Other values (39) 96
 
10.3%
(Missing) 51
 
5.5%
ValueCountFrequency (%)
37.3230431 1
 
0.1%
37.348073 1
 
0.1%
37.46565353017063 2
 
0.2%
37.4785377 1
 
0.1%
37.4796723 4
 
0.4%
37.4803406 12
1.3%
37.4931667 1
 
0.1%
37.4936543 1
 
0.1%
37.4964151 1
 
0.1%
37.512402 2
 
0.2%
ValueCountFrequency (%)
127.4848 2
 
0.2%
127.259596 4
0.4%
126.975158 1
 
0.1%
126.889621 5
0.5%
37.6802867 7
0.8%
37.668774 2
 
0.2%
37.6686932 1
 
0.1%
37.639721 1
 
0.1%
37.608678 1
 
0.1%
37.60656 2
 
0.2%

Y좌표
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)5.6%
Missing51
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean125.7513
Minimum36.506015
Maximum127.97859
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-04-30T06:57:50.535887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.506015
5-th percentile126.90828
Q1126.97574
median126.97574
Q3126.97574
95-th percentile127.02412
Maximum127.97859
Range91.472573
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.434424
Coefficient of variation (CV)0.082976669
Kurtosis68.750149
Mean125.7513
Median Absolute Deviation (MAD)0
Skewness-8.4017539
Sum110661.15
Variance108.87721
MonotonicityNot monotonic
2024-04-30T06:57:50.855847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
126.9757372 592
63.6%
126.966952 47
 
5.0%
126.9784048 37
 
4.0%
126.87561 20
 
2.1%
126.985591 18
 
1.9%
126.977805 15
 
1.6%
126.975158 15
 
1.6%
126.975587 15
 
1.6%
127.106496 13
 
1.4%
126.908278 12
 
1.3%
Other values (39) 96
 
10.3%
(Missing) 51
 
5.5%
ValueCountFrequency (%)
36.5060146 4
 
0.4%
36.6189296 2
 
0.2%
37.5630589 1
 
0.1%
37.5805061 5
 
0.5%
126.784136 7
 
0.8%
126.87543 1
 
0.1%
126.87561 20
2.1%
126.894264 1
 
0.1%
126.907173 1
 
0.1%
126.908278 12
1.3%
ValueCountFrequency (%)
127.978588 1
 
0.1%
127.17006 12
1.3%
127.123344 1
 
0.1%
127.123001 1
 
0.1%
127.11929 1
 
0.1%
127.116064 1
 
0.1%
127.106496 13
1.4%
127.105904 1
 
0.1%
127.092621 2
 
0.2%
127.08971488970953 2
 
0.2%

요청여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
False
930 
True
 
1
ValueCountFrequency (%)
False 930
99.9%
True 1
 
0.1%
2024-04-30T06:57:50.954347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

인기여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
False
928 
True
 
3
ValueCountFrequency (%)
False 928
99.7%
True 3
 
0.3%
2024-04-30T06:57:51.027945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

신규여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
False
928 
True
 
3
ValueCountFrequency (%)
False 928
99.7%
True 3
 
0.3%
2024-04-30T06:57:51.098550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
ING
931 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
ING 931
100.0%

Length

2024-04-30T06:57:51.206641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T06:57:51.308033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ing 931
100.0%

강의 이미지 파일 경로
Text

Distinct930
Distinct (%)100.0%
Missing1
Missing (%)0.1%
Memory size7.4 KiB
2024-04-30T06:57:51.470898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length108
Median length106
Mean length60.651613
Min length38

Characters and Unicode

Total characters56406
Distinct characters409
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique930 ?
Unique (%)100.0%

Sample

1st row/upload/course/ASP00001/2024/04/서울런4050 썸네일 2.png
2nd row/upload/course/ASP00001/2024/04/서울런4050 썸네일 3.png
3rd row/upload/course/ASP00001/2024/04/서울런4050 썸네일 1[5].png
4th row/upload/course/ASP00001/2024/04/썸네일[3].jpg
5th row/upload/course/ASP00001/2024/04/HLSP25292[1].jpg
ValueCountFrequency (%)
썸네일.png 40
 
2.9%
upload/course/asp00001/2023/06/썸네일(과정1-245x170 25
 
1.8%
예방 12
 
0.9%
교육_썸네일.jpg 11
 
0.8%
과의존 11
 
0.8%
스마트폰?인터넷 11
 
0.8%
썸네일 11
 
0.8%
upload/course/asp00001/2024/03/썸네일 5
 
0.4%
함께하는 4
 
0.3%
분야).jpg 4
 
0.3%
Other values (1204) 1261
90.4%
2024-04-30T06:57:51.806070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9552
16.9%
/ 5580
 
9.9%
1 3958
 
7.0%
2 3903
 
6.9%
u 2378
 
4.2%
o 1873
 
3.3%
p 1831
 
3.2%
S 1666
 
3.0%
s 1440
 
2.6%
l 1440
 
2.6%
Other values (399) 22785
40.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22214
39.4%
Lowercase Letter 19048
33.8%
Other Punctuation 6592
 
11.7%
Uppercase Letter 4457
 
7.9%
Other Letter 2837
 
5.0%
Space Separator 467
 
0.8%
Connector Punctuation 303
 
0.5%
Close Punctuation 213
 
0.4%
Open Punctuation 212
 
0.4%
Dash Punctuation 62
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 210
 
7.4%
썸 201
 
7.1%
네 200
 
7.0%
과 66
 
2.3%
교 59
 
2.1%
정 52
 
1.8%
육 46
 
1.6%
인 46
 
1.6%
이 44
 
1.6%
구 41
 
1.4%
Other values (339) 1872
66.0%
Lowercase Letter
ValueCountFrequency (%)
u 2378
12.5%
o 1873
9.8%
p 1831
 
9.6%
s 1440
 
7.6%
l 1440
 
7.6%
a 1440
 
7.6%
n 1217
 
6.4%
e 950
 
5.0%
d 931
 
4.9%
r 930
 
4.9%
Other values (10) 4618
24.2%
Uppercase Letter
ValueCountFrequency (%)
S 1666
37.4%
P 1323
29.7%
A 1282
28.8%
J 44
 
1.0%
I 36
 
0.8%
G 34
 
0.8%
K 20
 
0.4%
L 11
 
0.2%
H 10
 
0.2%
N 8
 
0.2%
Other values (7) 23
 
0.5%
Decimal Number
ValueCountFrequency (%)
0 9552
43.0%
1 3958
17.8%
2 3903
17.6%
4 1246
 
5.6%
3 822
 
3.7%
6 807
 
3.6%
5 519
 
2.3%
7 477
 
2.1%
9 474
 
2.1%
8 456
 
2.1%
Other Punctuation
ValueCountFrequency (%)
/ 5580
84.6%
. 974
 
14.8%
? 30
 
0.5%
! 4
 
0.1%
, 4
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 114
53.5%
] 99
46.5%
Open Punctuation
ValueCountFrequency (%)
( 113
53.3%
[ 99
46.7%
Space Separator
ValueCountFrequency (%)
467
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 303
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Math Symbol
ValueCountFrequency (%)
× 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30064
53.3%
Latin 23505
41.7%
Hangul 2836
 
5.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 210
 
7.4%
썸 201
 
7.1%
네 200
 
7.1%
과 66
 
2.3%
교 59
 
2.1%
정 52
 
1.8%
육 46
 
1.6%
인 46
 
1.6%
이 44
 
1.6%
구 41
 
1.4%
Other values (338) 1871
66.0%
Latin
ValueCountFrequency (%)
u 2378
 
10.1%
o 1873
 
8.0%
p 1831
 
7.8%
S 1666
 
7.1%
s 1440
 
6.1%
l 1440
 
6.1%
a 1440
 
6.1%
P 1323
 
5.6%
A 1282
 
5.5%
n 1217
 
5.2%
Other values (27) 7615
32.4%
Common
ValueCountFrequency (%)
0 9552
31.8%
/ 5580
18.6%
1 3958
13.2%
2 3903
13.0%
4 1246
 
4.1%
. 974
 
3.2%
3 822
 
2.7%
6 807
 
2.7%
5 519
 
1.7%
7 477
 
1.6%
Other values (13) 2226
 
7.4%
Han
ValueCountFrequency (%)
老 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53568
95.0%
Hangul 2836
 
5.0%
None 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9552
17.8%
/ 5580
 
10.4%
1 3958
 
7.4%
2 3903
 
7.3%
u 2378
 
4.4%
o 1873
 
3.5%
p 1831
 
3.4%
S 1666
 
3.1%
s 1440
 
2.7%
l 1440
 
2.7%
Other values (49) 19947
37.2%
Hangul
ValueCountFrequency (%)
일 210
 
7.4%
썸 201
 
7.1%
네 200
 
7.1%
과 66
 
2.3%
교 59
 
2.1%
정 52
 
1.8%
육 46
 
1.6%
인 46
 
1.6%
이 44
 
1.6%
구 41
 
1.4%
Other values (338) 1871
66.0%
None
ValueCountFrequency (%)
× 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
老 1
100.0%

수집데이터 아이디
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing931
Missing (%)100.0%
Memory size8.3 KiB

과목 아이디
Text

Distinct925
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2024-04-30T06:57:52.109118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.8045113
Min length5

Characters and Unicode

Total characters5404
Distinct characters11
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

Unique922 ?
Unique (%)99.0%

Sample

1st rowS12320
2nd rowS12321
3rd rowS12319
4th rowS12317
5th rowS12308
ValueCountFrequency (%)
s2118 5
 
0.5%
s10459 2
 
0.2%
s3695 2
 
0.2%
s1583 1
 
0.1%
s11190 1
 
0.1%
s11005 1
 
0.1%
s11332 1
 
0.1%
s12320 1
 
0.1%
s11367 1
 
0.1%
s11354 1
 
0.1%
Other values (915) 915
98.3%
2024-04-30T06:57:52.568793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1509
27.9%
S 931
17.2%
2 524
 
9.7%
0 479
 
8.9%
3 388
 
7.2%
9 366
 
6.8%
5 282
 
5.2%
4 268
 
5.0%
6 241
 
4.5%
8 234
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4473
82.8%
Uppercase Letter 931
 
17.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1509
33.7%
2 524
 
11.7%
0 479
 
10.7%
3 388
 
8.7%
9 366
 
8.2%
5 282
 
6.3%
4 268
 
6.0%
6 241
 
5.4%
8 234
 
5.2%
7 182
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
S 931
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4473
82.8%
Latin 931
 
17.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1509
33.7%
2 524
 
11.7%
0 479
 
10.7%
3 388
 
8.7%
9 366
 
8.2%
5 282
 
6.3%
4 268
 
6.0%
6 241
 
5.4%
8 234
 
5.2%
7 182
 
4.1%
Latin
ValueCountFrequency (%)
S 931
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5404
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1509
27.9%
S 931
17.2%
2 524
 
9.7%
0 479
 
8.9%
3 388
 
7.2%
9 366
 
6.8%
5 282
 
5.2%
4 268
 
5.0%
6 241
 
4.5%
8 234
 
4.3%

미리보기 주소
Text

Distinct906
Distinct (%)97.4%
Missing1
Missing (%)0.1%
Memory size7.4 KiB
2024-04-30T06:57:52.771299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length102
Median length98
Mean length91.551613
Min length43

Characters and Unicode

Total characters85143
Distinct characters49
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

Unique905 ?
Unique (%)97.3%

Sample

1st rowhttps://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/2024/ASP00001S100120240107207/01.mp4/playlist.m3u8
2nd rowhttps://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/2024/ASP00001S100120240107208/01.mp4/playlist.m3u8
3rd rowhttps://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/2024/ASP00001S100120240107206/01.mp4/playlist.m3u8
4th rowhttps://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/2024/ASP00001S100120240107193/01.mp4/playlist.m3u8
5th rowhttps://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/2024/ASP00001S100120240107180/01.mp4/playlist.m3u8
ValueCountFrequency (%)
https://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/2023/realtor_main_new/01.mp4/playlist.m3u8 25
 
2.7%
https://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/2023/asp00001s400720230000017/01.mp4/playlist.m3u8 1
 
0.1%
https://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/2023/asp00001s400720230000022/01.mp4/playlist.m3u8 1
 
0.1%
https://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/2022/asp00001s305220220000815/01.mp4/playlist.m3u8 1
 
0.1%
https://mp4.itgo.co.kr/seoul/k010112/01.mp4 1
 
0.1%
https://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/2023/asp00001s400720230000012/01.mp4/playlist.m3u8 1
 
0.1%
https://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/2023/asp00001s305220230000820/01.mp4/playlist.m3u8 1
 
0.1%
https://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/2023/asp00001s400720230000001/01.mp4/playlist.m3u8 1
 
0.1%
https://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/2023/asp00001s400720230000015/01.mp4/playlist.m3u8 1
 
0.1%
https://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/2023/asp00001s400720230000011/01.mp4/playlist.m3u8 1
 
0.1%
Other values (896) 896
96.3%
2024-04-30T06:57:53.067189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8694
 
10.2%
/ 7930
 
9.3%
. 4642
 
5.5%
4 4300
 
5.1%
1 4092
 
4.8%
p 3714
 
4.4%
t 3565
 
4.2%
s 3393
 
4.0%
m 3371
 
4.0%
2 3327
 
3.9%
Other values (39) 38115
44.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 40284
47.3%
Decimal Number 25225
29.6%
Other Punctuation 14982
 
17.6%
Uppercase Letter 2883
 
3.4%
Connector Punctuation 1769
 
2.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p 3714
 
9.2%
t 3565
 
8.8%
s 3393
 
8.4%
m 3371
 
8.4%
o 2809
 
7.0%
l 2613
 
6.5%
d 2590
 
6.4%
n 2455
 
6.1%
e 2266
 
5.6%
c 2029
 
5.0%
Other values (14) 11479
28.5%
Uppercase Letter
ValueCountFrequency (%)
S 1340
46.5%
P 704
24.4%
A 682
23.7%
K 51
 
1.8%
I 38
 
1.3%
J 24
 
0.8%
C 18
 
0.6%
E 10
 
0.3%
H 7
 
0.2%
M 6
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 8694
34.5%
4 4300
17.0%
1 4092
16.2%
2 3327
 
13.2%
3 1984
 
7.9%
8 1127
 
4.5%
6 643
 
2.5%
9 381
 
1.5%
7 370
 
1.5%
5 307
 
1.2%
Other Punctuation
ValueCountFrequency (%)
/ 7930
52.9%
. 4642
31.0%
: 2410
 
16.1%
Connector Punctuation
ValueCountFrequency (%)
_ 1769
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 43167
50.7%
Common 41976
49.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
p 3714
 
8.6%
t 3565
 
8.3%
s 3393
 
7.9%
m 3371
 
7.8%
o 2809
 
6.5%
l 2613
 
6.1%
d 2590
 
6.0%
n 2455
 
5.7%
e 2266
 
5.2%
c 2029
 
4.7%
Other values (25) 14362
33.3%
Common
ValueCountFrequency (%)
0 8694
20.7%
/ 7930
18.9%
. 4642
11.1%
4 4300
10.2%
1 4092
9.7%
2 3327
 
7.9%
: 2410
 
5.7%
3 1984
 
4.7%
_ 1769
 
4.2%
8 1127
 
2.7%
Other values (4) 1701
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 85143
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8694
 
10.2%
/ 7930
 
9.3%
. 4642
 
5.5%
4 4300
 
5.1%
1 4092
 
4.8%
p 3714
 
4.4%
t 3565
 
4.2%
s 3393
 
4.0%
m 3371
 
4.0%
2 3327
 
3.9%
Other values (39) 38115
44.8%

콘텐츠 아이디
Text

UNIQUE 

Distinct931
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2024-04-30T06:57:53.234440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length25.316864
Min length20

Characters and Unicode

Total characters23570
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique931 ?
Unique (%)100.0%

Sample

1st row202404240951571713919917192
2nd row202404241001221713920482278
3rd row202404240944271713919467564
4th row202404081558061712559486786
5th row202404021430381712035838614
ValueCountFrequency (%)
202404240951571713919917192 1
 
0.1%
202212271030531672104653514 1
 
0.1%
202212071529101670394550768 1
 
0.1%
202301041621401672816900586 1
 
0.1%
202301041629351672817375437 1
 
0.1%
202301041632381672817558637 1
 
0.1%
202212290916131672272973701 1
 
0.1%
202301041631461672817506110 1
 
0.1%
202301041014101672794850406 1
 
0.1%
202212290948511672274931817 1
 
0.1%
Other values (921) 921
98.9%
2024-04-30T06:57:53.565329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6604
28.0%
1 4171
17.7%
2 3095
13.1%
6 1373
 
5.8%
4 1267
 
5.4%
3 1222
 
5.2%
5 1170
 
5.0%
S 1002
 
4.3%
7 978
 
4.1%
8 850
 
3.6%
Other values (7) 1838
 
7.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21518
91.3%
Uppercase Letter 2036
 
8.6%
Connector Punctuation 16
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6604
30.7%
1 4171
19.4%
2 3095
14.4%
6 1373
 
6.4%
4 1267
 
5.9%
3 1222
 
5.7%
5 1170
 
5.4%
7 978
 
4.5%
8 850
 
4.0%
9 788
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
S 1002
49.2%
A 485
23.8%
P 485
23.8%
I 32
 
1.6%
J 16
 
0.8%
K 16
 
0.8%
Connector Punctuation
ValueCountFrequency (%)
_ 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21534
91.4%
Latin 2036
 
8.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6604
30.7%
1 4171
19.4%
2 3095
14.4%
6 1373
 
6.4%
4 1267
 
5.9%
3 1222
 
5.7%
5 1170
 
5.4%
7 978
 
4.5%
8 850
 
3.9%
9 788
 
3.7%
Latin
ValueCountFrequency (%)
S 1002
49.2%
A 485
23.8%
P 485
23.8%
I 32
 
1.6%
J 16
 
0.8%
K 16
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6604
28.0%
1 4171
17.7%
2 3095
13.1%
6 1373
 
5.8%
4 1267
 
5.4%
3 1222
 
5.2%
5 1170
 
5.0%
S 1002
 
4.3%
7 978
 
4.1%
8 850
 
3.6%
Other values (7) 1838
 
7.8%

회차번호
Real number (ℝ)

UNIQUE 

Distinct931
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116892.5
Minimum51721
Maximum131721
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-04-30T06:57:53.707002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51721
5-th percentile93016
Q1109234
median122280
Q3126957.5
95-th percentile130716.5
Maximum131721
Range80000
Interquartile range (IQR)17723.5

Descriptive statistics

Standard deviation15218.004
Coefficient of variation (CV)0.13018802
Kurtosis2.6908502
Mean116892.5
Median Absolute Deviation (MAD)5553
Skewness-1.6546481
Sum1.0882692 × 108
Variance2.3158763 × 108
MonotonicityNot monotonic
2024-04-30T06:57:53.836312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
131657 1
 
0.1%
120760 1
 
0.1%
120998 1
 
0.1%
121008 1
 
0.1%
120750 1
 
0.1%
121006 1
 
0.1%
120854 1
 
0.1%
121497 1
 
0.1%
120936 1
 
0.1%
120784 1
 
0.1%
Other values (921) 921
98.9%
ValueCountFrequency (%)
51721 1
0.1%
52176 1
0.1%
52540 1
0.1%
53688 1
0.1%
53690 1
0.1%
53691 1
0.1%
53697 1
0.1%
57069 1
0.1%
59470 1
0.1%
59726 1
0.1%
ValueCountFrequency (%)
131721 1
0.1%
131657 1
0.1%
131627 1
0.1%
131619 1
0.1%
131606 1
0.1%
131593 1
0.1%
131583 1
0.1%
131575 1
0.1%
131567 1
0.1%
131557 1
0.1%

회차수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
1
931 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 931
100.0%

Length

2024-04-30T06:57:53.953711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T06:57:54.034111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 931
100.0%

Sample

아이디강의 아이디강의 카테고리 아이디강의 카테고리명강의 명비용강의 구분주차 사용 여부분반 일련번호수강신청 시작 일자강의 시작 일자등록 일자수강신청 시작 일자.1콘텐츠 미리보기 url콘텐츠 미리보기 url.1콘텐츠 미리보기 url.2수료증 로트 명기관 아이디기관명기관 구X좌표Y좌표요청여부인기여부신규여부상태강의 이미지 파일 경로수집데이터 아이디과목 아이디미리보기 주소콘텐츠 아이디회차번호회차수
0ASP00001ASP00001S100120240107207202303092587862전문기술과정[오늘부터 정시퇴근] 파워포인트 실무 테크닉 완전정복편무료1N12024.04.25~2024.12.31수강신청일로부터30일2024.04.24-<NA><NA><NA><NA>S1001서울시(평생교육과)중구37.564512126.975737NNNING/upload/course/ASP00001/2024/04/서울런4050 썸네일 2.png<NA>S12320https://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/2024/ASP00001S100120240107207/01.mp4/playlist.m3u82024042409515717139199171921316571
1ASP00001ASP00001S100120240107208202303092587862전문기술과정한글 2022 제대로 배우기 완전정복편무료1N12024.04.25~2024.12.31수강신청일로부터30일2024.04.24-<NA><NA><NA><NA>S1001서울시(평생교육과)중구37.564512126.975737NNNING/upload/course/ASP00001/2024/04/서울런4050 썸네일 3.png<NA>S12321https://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/2024/ASP00001S100120240107208/01.mp4/playlist.m3u82024042410012217139204822781317211
2ASP00001ASP00001S100120240107206202303092587862전문기술과정일잘러의 진짜 엑셀 완전정복편무료1N12024.04.25~2024.12.31수강신청일로부터30일2024.04.24-<NA><NA><NA><NA>S1001서울시(평생교육과)중구37.564512126.975737NNNING/upload/course/ASP00001/2024/04/서울런4050 썸네일 1[5].png<NA>S12319https://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/2024/ASP00001S100120240107206/01.mp4/playlist.m3u82024042409442717139194675641316271
3ASP00001ASP00001S10012024010719320230313417069기타2024년 서울특별시의회 의정모니터 교육무료1N12024.04.09~2024.12.31수강신청일로부터15일2024.04.08-<NA><NA><NA><NA>S1001서울시(평생교육과)중구37.564512126.975737NNNING/upload/course/ASP00001/2024/04/썸네일[3].jpg<NA>S12317https://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/2024/ASP00001S100120240107193/01.mp4/playlist.m3u82024040815580617125594867861316191
4ASP00001ASP00001S100120240107180202303091900217셀프브랜딩[북콘서트] 인생을 바꾸는 커리어 멘토링무료1N12024.04.08~2024.12.31수강신청일로부터30일2024.04.03-<NA><NA><NA><NA>S1001서울시(평생교육과)중구37.564512126.975737NNNING/upload/course/ASP00001/2024/04/HLSP25292[1].jpg<NA>S12308https://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/2024/ASP00001S100120240107180/01.mp4/playlist.m3u82024040214303817120358386141315131
5ASP00001ASP00001S100120240107179202303091900217셀프브랜딩김경일 교수의 변화를 이끌어 내는 마음리더십무료1N12024.04.08~2024.12.31수강신청일로부터30일2024.04.03-<NA><NA><NA><NA>S1001서울시(평생교육과)중구37.564512126.975737NNNING/upload/course/ASP00001/2024/04/HLSP24508.jpg<NA>S12307https://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/2024/ASP00001S100120240107179/01.mp4/playlist.m3u82024040214184117120351216581314971
6ASP00001ASP00001S100120240107184202303098005472리더십/인사조직슬기로운 리더생활: MZ세대 맞춤형 코칭무료1N12024.04.08~2024.12.31수강신청일로부터30일2024.04.03-<NA><NA><NA><NA>S1001서울시(평생교육과)중구37.564512126.975737NNNING/upload/course/ASP00001/2024/04/HLSP38380.jpg<NA>S12312https://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/2024/ASP00001S100120240107184/01.mp4/playlist.m3u82024040215094817120381883461315671
7ASP00001ASP00001S100120240107183202303098005472리더십/인사조직[Z세대 PICK] 하마터면 꼰대가 될 뻔했다무료1N12024.04.08~2024.12.31수강신청일로부터30일2024.04.03-<NA><NA><NA><NA>S1001서울시(평생교육과)중구37.564512126.975737NNNING/upload/course/ASP00001/2024/04/HLSP34007.jpg<NA>S12311https://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/2024/ASP00001S100120240107183/01.mp4/playlist.m3u82024040214331217120359926531315571
8ASP00001ASP00001S100120240107181202303091900217셀프브랜딩마음을 끌어당기는 공감 커뮤니케이션무료1N12024.04.08~2024.12.31수강신청일로부터30일2024.04.03-<NA><NA><NA><NA>S1001서울시(평생교육과)중구37.564512126.975737NNNING/upload/course/ASP00001/2024/04/HLSP29819.jpg<NA>S12309https://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/2024/ASP00001S100120240107181/01.mp4/playlist.m3u82024040214314517120359057751315241
9ASP00001ASP00001S100120240107188202303098005472리더십/인사조직[켄블랜차드의 SLⅡ리더십] 영감을 주는 리더로 거듭나다무료1N12024.04.08~2024.12.31수강신청일로부터30일2024.04.03-<NA><NA><NA><NA>S1001서울시(평생교육과)중구37.564512126.975737NNNING/upload/course/ASP00001/2024/04/HLSP75825.jpg<NA>S12316https://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/2024/ASP00001S100120240107188/01.mp4/playlist.m3u82024040310104917121066498601316061
아이디강의 아이디강의 카테고리 아이디강의 카테고리명강의 명비용강의 구분주차 사용 여부분반 일련번호수강신청 시작 일자강의 시작 일자등록 일자수강신청 시작 일자.1콘텐츠 미리보기 url콘텐츠 미리보기 url.1콘텐츠 미리보기 url.2수료증 로트 명기관 아이디기관명기관 구X좌표Y좌표요청여부인기여부신규여부상태강의 이미지 파일 경로수집데이터 아이디과목 아이디미리보기 주소콘텐츠 아이디회차번호회차수
921ASP00001ASP00001S1001201752607202303137022921취미생활집수리아카데미 이론강좌무료1N12024.01.01~2024.12.31수강신청일로부터15일2017.05.22-<NA><NA><NA><NA>S3092서울시(주거환경개선과)중구37.567619126.978959NNNING/upload/course/ASP00001/2017/05/2017052211044881220170522110448812_캡처.JPG<NA>S1618https://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/2017/201705121720131494577213128/01.mp4/playlist.m3u8201705121720131494577213128597261
922ASP00001ASP00001S1001201752547202303136122092사회/교양소방시설 점검 표준 매뉴얼무료1N12024.01.01~2024.12.31수강신청일로부터7일2017.04.26-<NA><NA><NA><NA>S3091서울시(소방재난본부 검사지도팀)중구37.558908126.988978NNNING/upload/course/ASP00001/2017/04/2017042609435024720170426094350247_캡처.JPG<NA>S1617https://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/2017/201704211452531492753973775/01.mp4/playlist.m3u8201704211452531492753973775594701
923ASP00001ASP00001S3073201752262201701122130574소셜미디어세상을 바꾸는 지도, 커뮤니티매핑 이해하기무료1N12024.01.01~2024.12.31수강신청일로부터15일2017.01.25-<NA><NA><NA><NA>S3073서울시(뉴미디어담당관)은평구37.608678126.934744NNNING/upload/course/ASP00001/2017/01/2017012513541823720170125135418237_캡처.JPG<NA>S1599https://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/2017/201701161055071484531707207/01.mp4/playlist.m3u8201701161055071484531707207570691
924ASP00001ASP00001S100120165208920230313417069기타개인정보보호편(청소년층)무료1N12024.01.01~2024.12.31수강신청일로부터7일2016.09.02-<NA><NA><NA><NA>P3072개인정보위원회중구37.566303126.977805NNNING/upload/course/ASP00001/2016/09/20160921534531982016092153453198_3333.JPG<NA>S1582https://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/20160830/2/01.mp4/playlist.m3u8201608291403341472447014378536911
925ASP00001ASP00001I115820165208720230313417069기타개인정보보호편(노년층)무료1N12024.01.01~2024.12.31수강신청일로부터7일2016.09.02-<NA><NA><NA><NA>P3072개인정보위원회중구37.566303126.977805NNNING/upload/course/ASP00001/2016/09/20160921531298172016092153129817_1111.JPG<NA>S1581https://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/20160830/4/01.mp4/playlist.m3u8201608291402121472446932010536901
926ASP00001ASP00001S100120165208820230313417069기타개인정보보호편(청장년층)무료1N12024.01.01~2024.12.31수강신청일로부터7일2016.09.02-<NA><NA><NA><NA>P3072개인정보위원회중구37.566303126.977805NNNING/upload/course/ASP00001/2016/09/20160921532572242016092153257224_2222.JPG<NA>S1584https://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/20160830/3/01.mp4/playlist.m3u8201608291404001472447040412536881
927ASP00001ASP00001S100120165209020230313417069기타개인정보보호편(어린이용)무료1N12024.01.01~2024.12.31수강신청일로부터7일2016.09.02-<NA><NA><NA><NA>P3072개인정보위원회중구37.566303126.977805NNNING/upload/course/ASP00001/2016/09/20160921536114562016092153611456_4444.JPG<NA>S1583https://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/20160830/1/01.mp4/playlist.m3u8201608291402471472446967627536971
928ASP00001ASP00001I1158201651381202303136122092사회/교양공공데이터로 만들어가는 새로운 세상무료1N12024.01.01~2024.12.31수강신청일로부터15일2016.08.03-<NA><NA><NA><NA>S3066행정자치부<NA><NA><NA>NNNING/upload/course/ASP00001/2016/08/20160830905128712016083090512871_공공데이터.JPG<NA>S1572https://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/20160615/create/01.mp4/playlist.m3u8201608021445531470116753405525401
929ASP00001ASP00001S1001201651306202102163078113건강관리e-직장인의 건강관리무료1N12024.01.01~2024.12.31수강신청일로부터15일2016.06.14-<NA><NA><NA><NA>S3062서울시 인재개발원서초구37.479672127.024119NNNING/upload/course/ASP00001/2016/06/2016062013584832420160620135848324_직장인의 건강관리.png<NA>S1541https://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/20160615/health/01/0100.mp4/playlist.m3u8201606141412261465881146741521761
930ASP00001ASP00001S1001201651264202101299818265부모교육함께하는 부모 학습_드디어 부모!무료1N12024.01.01~2024.12.31수강신청일로부터30일2016.05.26-<NA><NA><NA><NA>S1001서울시(평생교육과)중구37.564512126.975737NNNING/upload/course/ASP00001/2016/05/2016052617421531020160526174215310_캡처.JPG<NA>S1525https://cdn.seoul.go.kr:443/mvod/_definst_/mp4:/parent/parent_learn_1.mp4/playlist.m3u8201605181341151463546475826517211