Overview

Dataset statistics

Number of variables27
Number of observations75
Missing cells65
Missing cells (%)3.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.5 KiB
Average record size in memory225.8 B

Variable types

Text3
Categorical5
Numeric7
DateTime3
Boolean9

Dataset

Description강좌코드,강좌명,기관코드,기관명,난이도코드,난이도명,수강신청 접수시작일,수강신청 접수종료일,수강신청 접수시작시간,수강신청 접수마감시간,교육시작일,교육종료일,교육시작시간,교육종료시간,교육요일(월),교육요일(화),교육요일(수),교육요일(목),교육요일(금),교육요일(토),교육요일(일),모집정원,예비자모집인원,수강료(원),접수방법(방문접수여부Y,N),접수방법(온라인접수여부Y,N),상세정보 주소
Author서울시여성능력개발원
URLhttps://data.seoul.go.kr/dataList/OA-2291/S/1/datasetView.do

Alerts

기관코드 has constant value ""Constant
기관명 has constant value ""Constant
교육요일(월) has constant value ""Constant
교육요일(화) has constant value ""Constant
교육요일(수) has constant value ""Constant
교육요일(목) has constant value ""Constant
교육요일(금) has constant value ""Constant
교육요일(토) has constant value ""Constant
교육요일(일) has constant value ""Constant
접수방법(방문접수여부Y,N) has constant value ""Constant
접수방법(온라인접수여부Y,N) has constant value ""Constant
교육요일(월) has 1 (1.3%) missing valuesMissing
교육요일(수) has 1 (1.3%) missing valuesMissing
교육요일(목) has 1 (1.3%) missing valuesMissing
교육요일(금) has 1 (1.3%) missing valuesMissing
교육요일(토) has 1 (1.3%) missing valuesMissing
교육요일(일) has 60 (80.0%) missing valuesMissing
강좌코드 has unique valuesUnique
강좌명 has unique valuesUnique
상세정보 주소 has unique valuesUnique
수강료(원) has 4 (5.3%) zerosZeros

Reproduction

Analysis started2024-05-03 20:53:17.954421
Analysis finished2024-05-03 20:53:19.024394
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

강좌코드
Text

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
2024-05-03T20:53:19.408325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters750
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

Unique75 ?
Unique (%)100.0%

Sample

1st rowC100141637
2nd rowC100140974
3rd rowC100140943
4th rowC100140808
5th rowC100140780
ValueCountFrequency (%)
c100141637 1
 
1.3%
c100141559 1
 
1.3%
c100141638 1
 
1.3%
c100141650 1
 
1.3%
c100141651 1
 
1.3%
c100141652 1
 
1.3%
c100141811 1
 
1.3%
c100141865 1
 
1.3%
c100141871 1
 
1.3%
c100141921 1
 
1.3%
Other values (65) 65
86.7%
2024-05-03T20:53:20.351749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 226
30.1%
0 178
23.7%
4 92
12.3%
C 75
 
10.0%
6 54
 
7.2%
8 26
 
3.5%
5 24
 
3.2%
7 22
 
2.9%
3 21
 
2.8%
9 17
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 675
90.0%
Uppercase Letter 75
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 226
33.5%
0 178
26.4%
4 92
13.6%
6 54
 
8.0%
8 26
 
3.9%
5 24
 
3.6%
7 22
 
3.3%
3 21
 
3.1%
9 17
 
2.5%
2 15
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
C 75
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 675
90.0%
Latin 75
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 226
33.5%
0 178
26.4%
4 92
13.6%
6 54
 
8.0%
8 26
 
3.9%
5 24
 
3.6%
7 22
 
3.3%
3 21
 
3.1%
9 17
 
2.5%
2 15
 
2.2%
Latin
ValueCountFrequency (%)
C 75
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 750
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 226
30.1%
0 178
23.7%
4 92
12.3%
C 75
 
10.0%
6 54
 
7.2%
8 26
 
3.5%
5 24
 
3.2%
7 22
 
2.9%
3 21
 
2.8%
9 17
 
2.3%

강좌명
Text

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
2024-05-03T20:53:20.798721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length11
Mean length18.173333
Min length9

Characters and Unicode

Total characters1363
Distinct characters218
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)100.0%

Sample

1st row[수영]19시 상급반
2nd row쉽고 재미있게 만드는 나만의 AI 동화책(8회: 5/3~6/21)
3rd row브랜드 블로그 전략 및 테크닉 7주완성(7회: 5/13~6/24)
4th row[국비 지원] AI융합 미래교육지도사 양성과정
5th row(퇴근 후 즐기는)소확행 베이킹(4회: 5/28~6/18)
ValueCountFrequency (%)
연수반 12
 
5.2%
상급반 12
 
5.2%
중급반 11
 
4.7%
생활체육 5
 
2.1%
수영]15시 5
 
2.1%
양성과정 4
 
1.7%
수영]16시 4
 
1.7%
수영]14시 4
 
1.7%
수영]08시 4
 
1.7%
초급반 4
 
1.7%
Other values (122) 168
72.1%
2024-05-03T20:53:21.781701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
158
 
11.6%
[ 58
 
4.3%
] 58
 
4.3%
수 58
 
4.3%
1 47
 
3.4%
영 46
 
3.4%
반 46
 
3.4%
시 45
 
3.3%
/ 28
 
2.1%
6 28
 
2.1%
Other values (208) 791
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 755
55.4%
Decimal Number 192
 
14.1%
Space Separator 158
 
11.6%
Open Punctuation 84
 
6.2%
Close Punctuation 84
 
6.2%
Other Punctuation 45
 
3.3%
Uppercase Letter 18
 
1.3%
Math Symbol 17
 
1.2%
Lowercase Letter 5
 
0.4%
Dash Punctuation 2
 
0.1%
Other values (2) 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 58
 
7.7%
영 46
 
6.1%
반 46
 
6.1%
시 45
 
6.0%
급 27
 
3.6%
회 16
 
2.1%
연 14
 
1.9%
상 14
 
1.9%
비 13
 
1.7%
이 13
 
1.7%
Other values (175) 463
61.3%
Decimal Number
ValueCountFrequency (%)
1 47
24.5%
6 28
14.6%
5 26
13.5%
2 25
13.0%
0 23
12.0%
8 13
 
6.8%
4 10
 
5.2%
7 8
 
4.2%
9 7
 
3.6%
3 5
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
S 7
38.9%
N 4
22.2%
A 3
16.7%
I 3
16.7%
K 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
p 1
20.0%
o 1
20.0%
h 1
20.0%
Other Punctuation
ValueCountFrequency (%)
/ 28
62.2%
: 14
31.1%
! 3
 
6.7%
Math Symbol
ValueCountFrequency (%)
~ 15
88.2%
> 1
 
5.9%
< 1
 
5.9%
Open Punctuation
ValueCountFrequency (%)
[ 58
69.0%
( 26
31.0%
Close Punctuation
ValueCountFrequency (%)
] 58
69.0%
) 26
31.0%
Space Separator
ValueCountFrequency (%)
158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
★ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 755
55.4%
Common 585
42.9%
Latin 23
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 58
 
7.7%
영 46
 
6.1%
반 46
 
6.1%
시 45
 
6.0%
급 27
 
3.6%
회 16
 
2.1%
연 14
 
1.9%
상 14
 
1.9%
비 13
 
1.7%
이 13
 
1.7%
Other values (175) 463
61.3%
Common
ValueCountFrequency (%)
158
27.0%
[ 58
 
9.9%
] 58
 
9.9%
1 47
 
8.0%
/ 28
 
4.8%
6 28
 
4.8%
) 26
 
4.4%
5 26
 
4.4%
( 26
 
4.4%
2 25
 
4.3%
Other values (14) 105
17.9%
Latin
ValueCountFrequency (%)
S 7
30.4%
N 4
17.4%
A 3
13.0%
I 3
13.0%
e 2
 
8.7%
p 1
 
4.3%
o 1
 
4.3%
h 1
 
4.3%
K 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 755
55.4%
ASCII 606
44.5%
Misc Symbols 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
158
26.1%
[ 58
 
9.6%
] 58
 
9.6%
1 47
 
7.8%
/ 28
 
4.6%
6 28
 
4.6%
) 26
 
4.3%
5 26
 
4.3%
( 26
 
4.3%
2 25
 
4.1%
Other values (22) 126
20.8%
Hangul
ValueCountFrequency (%)
수 58
 
7.7%
영 46
 
6.1%
반 46
 
6.1%
시 45
 
6.0%
급 27
 
3.6%
회 16
 
2.1%
연 14
 
1.9%
상 14
 
1.9%
비 13
 
1.7%
이 13
 
1.7%
Other values (175) 463
61.3%
Misc Symbols
ValueCountFrequency (%)
★ 2
100.0%

기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
5
75 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row5
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
5 75
100.0%

Length

2024-05-03T20:53:22.141455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:53:22.377373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 75
100.0%

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
서부여성발전센터
75 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서부여성발전센터 75
100.0%

Length

2024-05-03T20:53:22.720506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:53:22.943598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서부여성발전센터 75
100.0%

난이도코드
Categorical

Distinct6
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
S
24 
N
18 
J
15 
M
11 
A
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowA
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
S 24
32.0%
N 18
24.0%
J 15
20.0%
M 11
14.7%
A 5
 
6.7%
T 2
 
2.7%

Length

2024-05-03T20:53:23.266656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:53:23.472588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
s 24
32.0%
n 18
24.0%
j 15
20.0%
m 11
14.7%
a 5
 
6.7%
t 2
 
2.7%

난이도명
Categorical

Distinct6
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
고급
24 
관계없음
18 
초급
15 
중급
11 
초중급
5 

Length

Max length4
Median length2
Mean length2.5466667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row고급
2nd row초중급
3rd row관계없음
4th row관계없음
5th row관계없음

Common Values

ValueCountFrequency (%)
고급 24
32.0%
관계없음 18
24.0%
초급 15
20.0%
중급 11
14.7%
초중급 5
 
6.7%
통합 2
 
2.7%

Length

2024-05-03T20:53:23.860854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:53:24.228962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고급 24
32.0%
관계없음 18
24.0%
초급 15
20.0%
중급 11
14.7%
초중급 5
 
6.7%
통합 2
 
2.7%

수강신청 접수시작일
Real number (ℝ)

Distinct11
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240400
Minimum20240301
Maximum20240503
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-05-03T20:53:24.438219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240301
5-th percentile20240311
Q120240418
median20240418
Q320240418
95-th percentile20240426
Maximum20240503
Range202
Interquartile range (IQR)0

Descriptive statistics

Standard deviation46.955509
Coefficient of variation (CV)2.3198904 × 10-6
Kurtosis0.44962259
Mean20240400
Median Absolute Deviation (MAD)0
Skewness-1.0735005
Sum1.51803 × 109
Variance2204.8198
MonotonicityNot monotonic
2024-05-03T20:53:24.757725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20240418 47
62.7%
20240311 13
 
17.3%
20240426 6
 
8.0%
20240425 2
 
2.7%
20240502 1
 
1.3%
20240503 1
 
1.3%
20240408 1
 
1.3%
20240314 1
 
1.3%
20240301 1
 
1.3%
20240430 1
 
1.3%
ValueCountFrequency (%)
20240301 1
 
1.3%
20240311 13
 
17.3%
20240314 1
 
1.3%
20240408 1
 
1.3%
20240418 47
62.7%
20240422 1
 
1.3%
20240425 2
 
2.7%
20240426 6
 
8.0%
20240430 1
 
1.3%
20240502 1
 
1.3%
ValueCountFrequency (%)
20240503 1
 
1.3%
20240502 1
 
1.3%
20240430 1
 
1.3%
20240426 6
 
8.0%
20240425 2
 
2.7%
20240422 1
 
1.3%
20240418 47
62.7%
20240408 1
 
1.3%
20240314 1
 
1.3%
20240311 13
 
17.3%

수강신청 접수종료일
Real number (ℝ)

Distinct17
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240517
Minimum20240506
Maximum20240618
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-05-03T20:53:25.112949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240506
5-th percentile20240507
Q120240507
median20240507
Q320240512
95-th percentile20240602
Maximum20240618
Range112
Interquartile range (IQR)5

Descriptive statistics

Standard deviation25.363221
Coefficient of variation (CV)1.2530916 × 10-6
Kurtosis9.3902068
Mean20240517
Median Absolute Deviation (MAD)0
Skewness3.2185683
Sum1.5180388 × 109
Variance643.29297
MonotonicityNot monotonic
2024-05-03T20:53:25.372747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
20240507 47
62.7%
20240528 3
 
4.0%
20240506 3
 
4.0%
20240510 3
 
4.0%
20240509 3
 
4.0%
20240519 2
 
2.7%
20240517 2
 
2.7%
20240527 2
 
2.7%
20240523 2
 
2.7%
20240601 1
 
1.3%
Other values (7) 7
 
9.3%
ValueCountFrequency (%)
20240506 3
 
4.0%
20240507 47
62.7%
20240509 3
 
4.0%
20240510 3
 
4.0%
20240514 1
 
1.3%
20240515 1
 
1.3%
20240517 2
 
2.7%
20240519 2
 
2.7%
20240523 2
 
2.7%
20240527 2
 
2.7%
ValueCountFrequency (%)
20240618 1
 
1.3%
20240611 1
 
1.3%
20240605 1
 
1.3%
20240604 1
 
1.3%
20240601 1
 
1.3%
20240529 1
 
1.3%
20240528 3
4.0%
20240527 2
2.7%
20240523 2
2.7%
20240519 2
2.7%

수강신청 접수시작시간
Date

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
Minimum2024-05-03 06:00:00
Maximum2024-05-03 09:00:00
2024-05-03T20:53:25.747581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:53:26.072987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

수강신청 접수마감시간
Categorical

Distinct9
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
23:59
47 
18:00
13 
24:00
8 
13:00
 
2
09:00
 
1
Other values (4)
 
4

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique5 ?
Unique (%)6.7%

Sample

1st row23:59
2nd row13:00
3rd row24:00
4th row24:00
5th row18:00

Common Values

ValueCountFrequency (%)
23:59 47
62.7%
18:00 13
 
17.3%
24:00 8
 
10.7%
13:00 2
 
2.7%
09:00 1
 
1.3%
10:07 1
 
1.3%
16:00 1
 
1.3%
12:00 1
 
1.3%
13:30 1
 
1.3%

Length

2024-05-03T20:53:26.431248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:53:26.784529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
23:59 47
62.7%
18:00 13
 
17.3%
24:00 8
 
10.7%
13:00 2
 
2.7%
09:00 1
 
1.3%
10:07 1
 
1.3%
16:00 1
 
1.3%
12:00 1
 
1.3%
13:30 1
 
1.3%

교육시작일
Real number (ℝ)

Distinct15
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240514
Minimum20240502
Maximum20240624
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-05-03T20:53:27.154416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240502
5-th percentile20240502
Q120240502
median20240502
Q320240513
95-th percentile20240602
Maximum20240624
Range122
Interquartile range (IQR)11

Descriptive statistics

Standard deviation27.329804
Coefficient of variation (CV)1.3502525 × 10-6
Kurtosis8.7903773
Mean20240514
Median Absolute Deviation (MAD)0
Skewness3.0679696
Sum1.5180385 × 109
Variance746.9182
MonotonicityNot monotonic
2024-05-03T20:53:27.453096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20240502 42
56.0%
20240503 8
 
10.7%
20240513 4
 
5.3%
20240520 3
 
4.0%
20240523 3
 
4.0%
20240528 2
 
2.7%
20240507 2
 
2.7%
20240521 2
 
2.7%
20240529 2
 
2.7%
20240604 2
 
2.7%
Other values (5) 5
 
6.7%
ValueCountFrequency (%)
20240502 42
56.0%
20240503 8
 
10.7%
20240507 2
 
2.7%
20240511 1
 
1.3%
20240513 4
 
5.3%
20240520 3
 
4.0%
20240521 2
 
2.7%
20240523 3
 
4.0%
20240527 1
 
1.3%
20240528 2
 
2.7%
ValueCountFrequency (%)
20240624 1
 
1.3%
20240618 1
 
1.3%
20240604 2
2.7%
20240601 1
 
1.3%
20240529 2
2.7%
20240528 2
2.7%
20240527 1
 
1.3%
20240523 3
4.0%
20240521 2
2.7%
20240520 3
4.0%

교육종료일
Real number (ℝ)

Distinct21
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240575
Minimum20240513
Maximum20240910
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-05-03T20:53:27.744759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240513
5-th percentile20240530
Q120240531
median20240531
Q320240624
95-th percentile20240732
Maximum20240910
Range397
Interquartile range (IQR)92.5

Descriptive statistics

Standard deviation83.358732
Coefficient of variation (CV)4.1183975 × 10-6
Kurtosis6.6598976
Mean20240575
Median Absolute Deviation (MAD)0
Skewness2.4814121
Sum1.5180431 × 109
Variance6948.6782
MonotonicityNot monotonic
2024-05-03T20:53:28.016614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20240531 47
62.7%
20240627 4
 
5.3%
20240628 2
 
2.7%
20240626 2
 
2.7%
20240603 2
 
2.7%
20240625 2
 
2.7%
20240624 2
 
2.7%
20240621 1
 
1.3%
20240623 1
 
1.3%
20240906 1
 
1.3%
Other values (11) 11
 
14.7%
ValueCountFrequency (%)
20240513 1
 
1.3%
20240520 1
 
1.3%
20240524 1
 
1.3%
20240528 1
 
1.3%
20240531 47
62.7%
20240603 2
 
2.7%
20240621 1
 
1.3%
20240622 1
 
1.3%
20240623 1
 
1.3%
20240624 2
 
2.7%
ValueCountFrequency (%)
20240910 1
 
1.3%
20240906 1
 
1.3%
20240828 1
 
1.3%
20240801 1
 
1.3%
20240702 1
 
1.3%
20240701 1
 
1.3%
20240630 1
 
1.3%
20240628 2
2.7%
20240627 4
5.3%
20240626 2
2.7%

교육시작시간
Date

Distinct21
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
Minimum2024-05-03 06:00:00
Maximum2024-05-03 20:00:00
2024-05-03T20:53:28.278670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:53:28.683423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

교육종료시간
Date

Distinct26
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
Minimum2024-05-03 06:50:00
Maximum2024-05-03 21:30:00
2024-05-03T20:53:29.007594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:53:29.500197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

교육요일(월)
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)1.4%
Missing1
Missing (%)1.3%
Memory size282.0 B
True
74 
(Missing)
 
1
ValueCountFrequency (%)
True 74
98.7%
(Missing) 1
 
1.3%
2024-05-03T20:53:29.699842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(화)
Boolean

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size207.0 B
True
75 
ValueCountFrequency (%)
True 75
100.0%
2024-05-03T20:53:29.938666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(수)
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)1.4%
Missing1
Missing (%)1.3%
Memory size282.0 B
True
74 
(Missing)
 
1
ValueCountFrequency (%)
True 74
98.7%
(Missing) 1
 
1.3%
2024-05-03T20:53:30.205793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(목)
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)1.4%
Missing1
Missing (%)1.3%
Memory size282.0 B
True
74 
(Missing)
 
1
ValueCountFrequency (%)
True 74
98.7%
(Missing) 1
 
1.3%
2024-05-03T20:53:30.529694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(금)
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)1.4%
Missing1
Missing (%)1.3%
Memory size282.0 B
True
74 
(Missing)
 
1
ValueCountFrequency (%)
True 74
98.7%
(Missing) 1
 
1.3%
2024-05-03T20:53:30.930155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(토)
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)1.4%
Missing1
Missing (%)1.3%
Memory size282.0 B
True
74 
(Missing)
 
1
ValueCountFrequency (%)
True 74
98.7%
(Missing) 1
 
1.3%
2024-05-03T20:53:31.164220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(일)
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)6.7%
Missing60
Missing (%)80.0%
Memory size282.0 B
True
15 
(Missing)
60 
ValueCountFrequency (%)
True 15
 
20.0%
(Missing) 60
80.0%
2024-05-03T20:53:31.463751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

모집정원
Real number (ℝ)

Distinct10
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.133333
Minimum12
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-05-03T20:53:31.734757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile12
Q116
median16
Q320
95-th percentile43
Maximum64
Range52
Interquartile range (IQR)4

Descriptive statistics

Standard deviation10.382331
Coefficient of variation (CV)0.51567868
Kurtosis5.6121019
Mean20.133333
Median Absolute Deviation (MAD)1
Skewness2.4453809
Sum1510
Variance107.79279
MonotonicityNot monotonic
2024-05-03T20:53:32.203491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
16 35
46.7%
20 11
 
14.7%
12 8
 
10.7%
15 5
 
6.7%
18 5
 
6.7%
40 5
 
6.7%
50 3
 
4.0%
30 1
 
1.3%
64 1
 
1.3%
25 1
 
1.3%
ValueCountFrequency (%)
12 8
 
10.7%
15 5
 
6.7%
16 35
46.7%
18 5
 
6.7%
20 11
 
14.7%
25 1
 
1.3%
30 1
 
1.3%
40 5
 
6.7%
50 3
 
4.0%
64 1
 
1.3%
ValueCountFrequency (%)
64 1
 
1.3%
50 3
 
4.0%
40 5
 
6.7%
30 1
 
1.3%
25 1
 
1.3%
20 11
 
14.7%
18 5
 
6.7%
16 35
46.7%
15 5
 
6.7%
12 8
 
10.7%

예비자모집인원
Real number (ℝ)

Distinct9
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1866667
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-05-03T20:53:32.596180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q36
95-th percentile10
Maximum20
Range19
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.3194486
Coefficient of variation (CV)0.79286192
Kurtosis5.5914548
Mean4.1866667
Median Absolute Deviation (MAD)1
Skewness1.8838399
Sum314
Variance11.018739
MonotonicityNot monotonic
2024-05-03T20:53:33.046833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 36
48.0%
6 11
 
14.7%
5 7
 
9.3%
8 6
 
8.0%
10 6
 
8.0%
1 6
 
8.0%
3 1
 
1.3%
20 1
 
1.3%
4 1
 
1.3%
ValueCountFrequency (%)
1 6
 
8.0%
2 36
48.0%
3 1
 
1.3%
4 1
 
1.3%
5 7
 
9.3%
6 11
 
14.7%
8 6
 
8.0%
10 6
 
8.0%
20 1
 
1.3%
ValueCountFrequency (%)
20 1
 
1.3%
10 6
 
8.0%
8 6
 
8.0%
6 11
 
14.7%
5 7
 
9.3%
4 1
 
1.3%
3 1
 
1.3%
2 36
48.0%
1 6
 
8.0%

수강료(원)
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59053.333
Minimum0
Maximum125000
Zeros4
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-05-03T20:53:33.412215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4200
Q145000
median65000
Q365000
95-th percentile100600
Maximum125000
Range125000
Interquartile range (IQR)20000

Descriptive statistics

Standard deviation23583.602
Coefficient of variation (CV)0.39936107
Kurtosis1.9058546
Mean59053.333
Median Absolute Deviation (MAD)0
Skewness-0.47097987
Sum4429000
Variance5.5618631 × 108
MonotonicityNot monotonic
2024-05-03T20:53:33.803270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
65000 40
53.3%
45000 9
 
12.0%
0 4
 
5.3%
60000 3
 
4.0%
100000 2
 
2.7%
6000 2
 
2.7%
102000 2
 
2.7%
55000 1
 
1.3%
44000 1
 
1.3%
125000 1
 
1.3%
Other values (10) 10
 
13.3%
ValueCountFrequency (%)
0 4
5.3%
6000 2
 
2.7%
24000 1
 
1.3%
36000 1
 
1.3%
40000 1
 
1.3%
43000 1
 
1.3%
44000 1
 
1.3%
45000 9
12.0%
54000 1
 
1.3%
55000 1
 
1.3%
ValueCountFrequency (%)
125000 1
 
1.3%
108000 1
 
1.3%
102000 2
 
2.7%
100000 2
 
2.7%
96000 1
 
1.3%
83000 1
 
1.3%
65000 40
53.3%
62000 1
 
1.3%
60000 3
 
4.0%
58000 1
 
1.3%

접수방법(방문접수여부Y,N)
Boolean

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size207.0 B
True
75 
ValueCountFrequency (%)
True 75
100.0%
2024-05-03T20:53:34.134939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

접수방법(온라인접수여부Y,N)
Boolean

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size207.0 B
True
75 
ValueCountFrequency (%)
True 75
100.0%
2024-05-03T20:53:34.397148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

상세정보 주소
Text

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
2024-05-03T20:53:35.053249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length88
Mean length88
Min length88

Characters and Unicode

Total characters6600
Distinct characters37
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)100.0%

Sample

1st rowhttps://seobu.seoulwomanup.or.kr/seobu/edu/selectEduProgram.do?sch_class_code=C100141637
2nd rowhttps://seobu.seoulwomanup.or.kr/seobu/edu/selectEduProgram.do?sch_class_code=C100140974
3rd rowhttps://seobu.seoulwomanup.or.kr/seobu/edu/selectEduProgram.do?sch_class_code=C100140943
4th rowhttps://seobu.seoulwomanup.or.kr/seobu/edu/selectEduProgram.do?sch_class_code=C100140808
5th rowhttps://seobu.seoulwomanup.or.kr/seobu/edu/selectEduProgram.do?sch_class_code=C100140780
ValueCountFrequency (%)
https://seobu.seoulwomanup.or.kr/seobu/edu/selecteduprogram.do?sch_class_code=c100141637 1
 
1.3%
https://seobu.seoulwomanup.or.kr/seobu/edu/selecteduprogram.do?sch_class_code=c100141559 1
 
1.3%
https://seobu.seoulwomanup.or.kr/seobu/edu/selecteduprogram.do?sch_class_code=c100141638 1
 
1.3%
https://seobu.seoulwomanup.or.kr/seobu/edu/selecteduprogram.do?sch_class_code=c100141650 1
 
1.3%
https://seobu.seoulwomanup.or.kr/seobu/edu/selecteduprogram.do?sch_class_code=c100141651 1
 
1.3%
https://seobu.seoulwomanup.or.kr/seobu/edu/selecteduprogram.do?sch_class_code=c100141652 1
 
1.3%
https://seobu.seoulwomanup.or.kr/seobu/edu/selecteduprogram.do?sch_class_code=c100141811 1
 
1.3%
https://seobu.seoulwomanup.or.kr/seobu/edu/selecteduprogram.do?sch_class_code=c100141865 1
 
1.3%
https://seobu.seoulwomanup.or.kr/seobu/edu/selecteduprogram.do?sch_class_code=c100141871 1
 
1.3%
https://seobu.seoulwomanup.or.kr/seobu/edu/selecteduprogram.do?sch_class_code=c100141921 1
 
1.3%
Other values (65) 65
86.7%
2024-05-03T20:53:36.205370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 600
 
9.1%
o 600
 
9.1%
e 525
 
8.0%
u 450
 
6.8%
/ 375
 
5.7%
d 300
 
4.5%
r 300
 
4.5%
. 300
 
4.5%
c 300
 
4.5%
1 226
 
3.4%
Other values (27) 2624
39.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4650
70.5%
Other Punctuation 825
 
12.5%
Decimal Number 675
 
10.2%
Uppercase Letter 225
 
3.4%
Connector Punctuation 150
 
2.3%
Math Symbol 75
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 600
12.9%
o 600
12.9%
e 525
11.3%
u 450
9.7%
d 300
 
6.5%
r 300
 
6.5%
c 300
 
6.5%
l 225
 
4.8%
t 225
 
4.8%
a 225
 
4.8%
Other values (8) 900
19.4%
Decimal Number
ValueCountFrequency (%)
1 226
33.5%
0 178
26.4%
4 92
13.6%
6 54
 
8.0%
8 26
 
3.9%
5 24
 
3.6%
7 22
 
3.3%
3 21
 
3.1%
9 17
 
2.5%
2 15
 
2.2%
Other Punctuation
ValueCountFrequency (%)
/ 375
45.5%
. 300
36.4%
: 75
 
9.1%
? 75
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
C 75
33.3%
P 75
33.3%
E 75
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 150
100.0%
Math Symbol
ValueCountFrequency (%)
= 75
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4875
73.9%
Common 1725
 
26.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 600
12.3%
o 600
12.3%
e 525
10.8%
u 450
 
9.2%
d 300
 
6.2%
r 300
 
6.2%
c 300
 
6.2%
l 225
 
4.6%
t 225
 
4.6%
a 225
 
4.6%
Other values (11) 1125
23.1%
Common
ValueCountFrequency (%)
/ 375
21.7%
. 300
17.4%
1 226
13.1%
0 178
10.3%
_ 150
 
8.7%
4 92
 
5.3%
: 75
 
4.3%
= 75
 
4.3%
? 75
 
4.3%
6 54
 
3.1%
Other values (6) 125
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 600
 
9.1%
o 600
 
9.1%
e 525
 
8.0%
u 450
 
6.8%
/ 375
 
5.7%
d 300
 
4.5%
r 300
 
4.5%
. 300
 
4.5%
c 300
 
4.5%
1 226
 
3.4%
Other values (27) 2624
39.8%

Sample

강좌코드강좌명기관코드기관명난이도코드난이도명수강신청 접수시작일수강신청 접수종료일수강신청 접수시작시간수강신청 접수마감시간교육시작일교육종료일교육시작시간교육종료시간교육요일(월)교육요일(화)교육요일(수)교육요일(목)교육요일(금)교육요일(토)교육요일(일)모집정원예비자모집인원수강료(원)접수방법(방문접수여부Y,N)접수방법(온라인접수여부Y,N)상세정보 주소
0C100141637[수영]19시 상급반5서부여성발전센터S고급202404182024050706:0023:59202405022024053119:0019:50YYYYYY<NA>16265000YYhttps://seobu.seoulwomanup.or.kr/seobu/edu/selectEduProgram.do?sch_class_code=C100141637
1C100140974쉽고 재미있게 만드는 나만의 AI 동화책(8회: 5/3~6/21)5서부여성발전센터A초중급202403112024051009:0013:00202405032024062713:3016:30YYYYYYY156102000YYhttps://seobu.seoulwomanup.or.kr/seobu/edu/selectEduProgram.do?sch_class_code=C100140974
2C100140943브랜드 블로그 전략 및 테크닉 7주완성(7회: 5/13~6/24)5서부여성발전센터N관계없음202403112024051909:0024:00202405132024063019:0021:30YYYYYYY18896000YYhttps://seobu.seoulwomanup.or.kr/seobu/edu/selectEduProgram.do?sch_class_code=C100140943
3C100140808[국비 지원] AI융합 미래교육지도사 양성과정5서부여성발전센터N관계없음202405022024061109:0024:00202406242024090609:3013:30YYYYYYY3010100000YYhttps://seobu.seoulwomanup.or.kr/seobu/edu/selectEduProgram.do?sch_class_code=C100140808
4C100140780(퇴근 후 즐기는)소확행 베이킹(4회: 5/28~6/18)5서부여성발전센터N관계없음202403112024052809:0018:00202405282024062418:3021:30YYYYYYY20640000YYhttps://seobu.seoulwomanup.or.kr/seobu/edu/selectEduProgram.do?sch_class_code=C100140780
5C100140760SNS이모티콘제작(심화반)(움직이는이모티콘제작)(2회:6/18~6/25)5서부여성발전센터N관계없음202403112024061809:0013:00202406182024062813:3016:30YYYYYYY15824000YYhttps://seobu.seoulwomanup.or.kr/seobu/edu/selectEduProgram.do?sch_class_code=C100140760
6C100140756[비대면]도전!바로쓰는글쓰기(기초~스토리텔링)(4회:5/7~5/28)5서부여성발전센터A초중급202403112024050609:0024:00202405072024060319:0021:00YYYYYYY15645000YYhttps://seobu.seoulwomanup.or.kr/seobu/edu/selectEduProgram.do?sch_class_code=C100140756
7C100140752나만의 디자인으로 수익 창출(스톡이미지)(4회: 5/7~5/28)5서부여성발전센터N관계없음202403112024050609:0024:00202405072024060309:3012:30YYYYYYY20854000YYhttps://seobu.seoulwomanup.or.kr/seobu/edu/selectEduProgram.do?sch_class_code=C100140752
8C100140751SNS 인플루언서 입문 6주 완성반(6회: 5/11~6/15)5서부여성발전센터N관계없음202403112024051709:0024:00202405112024062110:0013:00YYYYYYY18858000YYhttps://seobu.seoulwomanup.or.kr/seobu/edu/selectEduProgram.do?sch_class_code=C100140751
9C100140750파워블로그로 N잡하기(6회 : 5/13 ~ 6/17)5서부여성발전센터N관계없음202403112024051909:0024:00202405132024062309:3012:30YYYYYYY18862000YYhttps://seobu.seoulwomanup.or.kr/seobu/edu/selectEduProgram.do?sch_class_code=C100140750
강좌코드강좌명기관코드기관명난이도코드난이도명수강신청 접수시작일수강신청 접수종료일수강신청 접수시작시간수강신청 접수마감시간교육시작일교육종료일교육시작시간교육종료시간교육요일(월)교육요일(화)교육요일(수)교육요일(목)교육요일(금)교육요일(토)교육요일(일)모집정원예비자모집인원수강료(원)접수방법(방문접수여부Y,N)접수방법(온라인접수여부Y,N)상세정보 주소
65C100141610[수영]15시 초급반5서부여성발전센터J초급202404182024050706:0023:59202405022024053115:0015:50YYYYYY<NA>16265000YYhttps://seobu.seoulwomanup.or.kr/seobu/edu/selectEduProgram.do?sch_class_code=C100141610
66C100141609[수영]14시 초급반5서부여성발전센터J초급202404182024050706:0023:59202405022024053114:0014:50YYYYYY<NA>16265000YYhttps://seobu.seoulwomanup.or.kr/seobu/edu/selectEduProgram.do?sch_class_code=C100141609
67C100141607[수영]12시 초급반5서부여성발전센터J초급202404182024050706:0023:59202405022024053112:0012:50YYYYYY<NA>16265000YYhttps://seobu.seoulwomanup.or.kr/seobu/edu/selectEduProgram.do?sch_class_code=C100141607
68C100141878[취업준비교육_집단상담] 24-05(스타트)5서부여성발전센터T통합202404262024051509:0018:00202405202024052409:3013:30YYYYYY<NA>2050YYhttps://seobu.seoulwomanup.or.kr/seobu/edu/selectEduProgram.do?sch_class_code=C100141878
69C100141617[수영]08시 중급반5서부여성발전센터M중급202404182024050706:0023:59202405022024053108:0008:50YYYYYY<NA>16265000YYhttps://seobu.seoulwomanup.or.kr/seobu/edu/selectEduProgram.do?sch_class_code=C100141617
70C100141622[수영]14시 중급반5서부여성발전센터M중급202404182024050706:0023:59202405022024053114:0014:50YYYYYY<NA>16265000YYhttps://seobu.seoulwomanup.or.kr/seobu/edu/selectEduProgram.do?sch_class_code=C100141622
71C100141621[수영]12시 중급반5서부여성발전센터M중급202404182024050706:0023:59202405022024053112:0012:50YYYYYY<NA>16265000YYhttps://seobu.seoulwomanup.or.kr/seobu/edu/selectEduProgram.do?sch_class_code=C100141621
72C100141620[수영]11시 중급반5서부여성발전센터M중급202404182024050706:0023:59202405022024053111:0011:50YYYYYY<NA>16265000YYhttps://seobu.seoulwomanup.or.kr/seobu/edu/selectEduProgram.do?sch_class_code=C100141620
73C100140757[비대면]도전! 웹소설 작가 데뷔 입문(8회: 5/3~6/21)5서부여성발전센터J초급202403112024050909:0024:00202405032024062710:0012:30YYYYYYY156125000YYhttps://seobu.seoulwomanup.or.kr/seobu/edu/selectEduProgram.do?sch_class_code=C100140757
74C100140938제과기능장에게 배우는 카페베이커리(5회: 5/29~6/26)5서부여성발전센터N관계없음202403112024060509:0013:30202405292024062814:0017:00YYYYYYY251044000YYhttps://seobu.seoulwomanup.or.kr/seobu/edu/selectEduProgram.do?sch_class_code=C100140938