Overview

Dataset statistics

Number of variables27
Number of observations32
Missing cells8
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.1 KiB
Average record size in memory228.1 B

Variable types

Text3
Categorical8
Numeric7
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-2210/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(온라인접수여부Y,N) has constant value ""Constant
수강신청 접수시작시간 is highly imbalanced (66.3%)Imbalance
교육요일(일) has 8 (25.0%) missing valuesMissing
강좌코드 has unique valuesUnique
상세정보 주소 has unique valuesUnique
수강료(원) has 6 (18.8%) zerosZeros

Reproduction

Analysis started2024-05-11 06:04:44.307954
Analysis finished2024-05-11 06:04:44.911768
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

강좌코드
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-05-11T06:04:45.185767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters320
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

Unique32 ?
Unique (%)100.0%

Sample

1st rowC100140183
2nd rowC100142119
3rd rowC100141941
4th rowC100141927
5th rowC100141446
ValueCountFrequency (%)
c100140183 1
 
3.1%
c100142119 1
 
3.1%
c100140259 1
 
3.1%
c100140277 1
 
3.1%
c100140266 1
 
3.1%
c100140184 1
 
3.1%
c100140171 1
 
3.1%
c100140173 1
 
3.1%
c100140731 1
 
3.1%
c100141593 1
 
3.1%
Other values (22) 22
68.8%
2024-05-11T06:04:46.106677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 90
28.1%
1 87
27.2%
4 43
13.4%
C 32
 
10.0%
2 17
 
5.3%
9 12
 
3.8%
7 11
 
3.4%
6 9
 
2.8%
3 8
 
2.5%
8 6
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 288
90.0%
Uppercase Letter 32
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 90
31.2%
1 87
30.2%
4 43
14.9%
2 17
 
5.9%
9 12
 
4.2%
7 11
 
3.8%
6 9
 
3.1%
3 8
 
2.8%
8 6
 
2.1%
5 5
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
C 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 288
90.0%
Latin 32
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 90
31.2%
1 87
30.2%
4 43
14.9%
2 17
 
5.9%
9 12
 
4.2%
7 11
 
3.8%
6 9
 
3.1%
3 8
 
2.8%
8 6
 
2.1%
5 5
 
1.7%
Latin
ValueCountFrequency (%)
C 32
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 320
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 90
28.1%
1 87
27.2%
4 43
13.4%
C 32
 
10.0%
2 17
 
5.3%
9 12
 
3.8%
7 11
 
3.4%
6 9
 
2.8%
3 8
 
2.5%
8 6
 
1.9%

강좌명
Text

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-05-11T06:04:46.761713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length21.5
Mean length18.9375
Min length8

Characters and Unicode

Total characters606
Distinct characters207
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)90.6%

Sample

1st row일품한식(4주)
2nd rowVMD(진열전문가) 매장컨설턴트 양성
3rd row실감콘텐츠 디자인제작자 양성과정
4th row선물하기 좋은 구움과자 디저트
5th row[서울시 지원] SW테스터 취업과정
ValueCountFrequency (%)
양성과정 5
 
4.9%
양성 4
 
3.9%
창업 4
 
3.9%
취업맞춤형]청소연구소 3
 
2.9%
과정 3
 
2.9%
매니저 3
 
2.9%
기초 2
 
1.9%
및 2
 
1.9%
ai를 2
 
1.9%
직업특강 2
 
1.9%
Other values (71) 73
70.9%
2024-05-11T06:04:47.856544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
71
 
11.7%
[ 19
 
3.1%
] 19
 
3.1%
정 15
 
2.5%
과 15
 
2.5%
자 14
 
2.3%
업 14
 
2.3%
기 13
 
2.1%
성 10
 
1.7%
) 9
 
1.5%
Other values (197) 407
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 445
73.4%
Space Separator 71
 
11.7%
Open Punctuation 28
 
4.6%
Close Punctuation 28
 
4.6%
Uppercase Letter 12
 
2.0%
Decimal Number 11
 
1.8%
Other Punctuation 10
 
1.7%
Connector Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 15
 
3.4%
과 15
 
3.4%
자 14
 
3.1%
업 14
 
3.1%
기 13
 
2.9%
성 10
 
2.2%
양 9
 
2.0%
이 8
 
1.8%
주 7
 
1.6%
스 7
 
1.6%
Other values (172) 333
74.8%
Uppercase Letter
ValueCountFrequency (%)
A 3
25.0%
I 2
16.7%
P 1
 
8.3%
R 1
 
8.3%
W 1
 
8.3%
S 1
 
8.3%
D 1
 
8.3%
M 1
 
8.3%
V 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
& 4
40.0%
! 2
20.0%
: 2
20.0%
, 1
 
10.0%
/ 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
4 4
36.4%
3 3
27.3%
2 2
18.2%
5 1
 
9.1%
0 1
 
9.1%
Open Punctuation
ValueCountFrequency (%)
[ 19
67.9%
( 9
32.1%
Close Punctuation
ValueCountFrequency (%)
] 19
67.9%
) 9
32.1%
Space Separator
ValueCountFrequency (%)
71
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 445
73.4%
Common 149
 
24.6%
Latin 12
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 15
 
3.4%
과 15
 
3.4%
자 14
 
3.1%
업 14
 
3.1%
기 13
 
2.9%
성 10
 
2.2%
양 9
 
2.0%
이 8
 
1.8%
주 7
 
1.6%
스 7
 
1.6%
Other values (172) 333
74.8%
Common
ValueCountFrequency (%)
71
47.7%
[ 19
 
12.8%
] 19
 
12.8%
) 9
 
6.0%
( 9
 
6.0%
& 4
 
2.7%
4 4
 
2.7%
3 3
 
2.0%
2 2
 
1.3%
! 2
 
1.3%
Other values (6) 7
 
4.7%
Latin
ValueCountFrequency (%)
A 3
25.0%
I 2
16.7%
P 1
 
8.3%
R 1
 
8.3%
W 1
 
8.3%
S 1
 
8.3%
D 1
 
8.3%
M 1
 
8.3%
V 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 445
73.4%
ASCII 161
 
26.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
71
44.1%
[ 19
 
11.8%
] 19
 
11.8%
) 9
 
5.6%
( 9
 
5.6%
& 4
 
2.5%
4 4
 
2.5%
A 3
 
1.9%
3 3
 
1.9%
2 2
 
1.2%
Other values (15) 18
 
11.2%
Hangul
ValueCountFrequency (%)
정 15
 
3.4%
과 15
 
3.4%
자 14
 
3.1%
업 14
 
3.1%
기 13
 
2.9%
성 10
 
2.2%
양 9
 
2.0%
이 8
 
1.8%
주 7
 
1.6%
스 7
 
1.6%
Other values (172) 333
74.8%

기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
6
32 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6
2nd row6
3rd row6
4th row6
5th row6

Common Values

ValueCountFrequency (%)
6 32
100.0%

Length

2024-05-11T06:04:48.395236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:04:48.753739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6 32
100.0%

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
동부여성발전센터
32 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동부여성발전센터 32
100.0%

Length

2024-05-11T06:04:49.296550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:04:49.790672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동부여성발전센터 32
100.0%

난이도코드
Categorical

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
J
16 
N
7 
A
4 
M
3 
T
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st rowJ
2nd rowT
3rd rowM
4th rowJ
5th rowM

Common Values

ValueCountFrequency (%)
J 16
50.0%
N 7
21.9%
A 4
 
12.5%
M 3
 
9.4%
T 1
 
3.1%
S 1
 
3.1%

Length

2024-05-11T06:04:50.355854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:04:50.959909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
j 16
50.0%
n 7
21.9%
a 4
 
12.5%
m 3
 
9.4%
t 1
 
3.1%
s 1
 
3.1%

난이도명
Categorical

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
초급
16 
관계없음
7 
초중급
4 
중급
3 
통합
 
1

Length

Max length4
Median length2
Mean length2.5625
Min length2

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row초급
2nd row통합
3rd row중급
4th row초급
5th row중급

Common Values

ValueCountFrequency (%)
초급 16
50.0%
관계없음 7
21.9%
초중급 4
 
12.5%
중급 3
 
9.4%
통합 1
 
3.1%
고급 1
 
3.1%

Length

2024-05-11T06:04:51.551376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:04:51.980400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초급 16
50.0%
관계없음 7
21.9%
초중급 4
 
12.5%
중급 3
 
9.4%
통합 1
 
3.1%
고급 1
 
3.1%

수강신청 접수시작일
Real number (ℝ)

Distinct8
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240327
Minimum20240201
Maximum20240509
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T06:04:52.844655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240201
5-th percentile20240258
Q120240306
median20240306
Q320240306
95-th percentile20240502
Maximum20240509
Range308
Interquartile range (IQR)0

Descriptive statistics

Standard deviation74.632622
Coefficient of variation (CV)3.6873229 × 10-6
Kurtosis2.2464303
Mean20240327
Median Absolute Deviation (MAD)0
Skewness1.4925432
Sum6.4769047 × 108
Variance5570.0282
MonotonicityNot monotonic
2024-05-11T06:04:53.182263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20240306 23
71.9%
20240502 2
 
6.2%
20240201 2
 
6.2%
20240509 1
 
3.1%
20240401 1
 
3.1%
20240314 1
 
3.1%
20240501 1
 
3.1%
20240305 1
 
3.1%
ValueCountFrequency (%)
20240201 2
 
6.2%
20240305 1
 
3.1%
20240306 23
71.9%
20240314 1
 
3.1%
20240401 1
 
3.1%
20240501 1
 
3.1%
20240502 2
 
6.2%
20240509 1
 
3.1%
ValueCountFrequency (%)
20240509 1
 
3.1%
20240502 2
 
6.2%
20240501 1
 
3.1%
20240401 1
 
3.1%
20240314 1
 
3.1%
20240306 23
71.9%
20240305 1
 
3.1%
20240201 2
 
6.2%

수강신청 접수종료일
Real number (ℝ)

Distinct22
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240575
Minimum20240517
Maximum20240729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T06:04:53.517707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240517
5-th percentile20240520
Q120240526
median20240568
Q320240613
95-th percentile20240657
Maximum20240729
Range212
Interquartile range (IQR)87.25

Descriptive statistics

Standard deviation56.352282
Coefficient of variation (CV)2.7841245 × 10-6
Kurtosis0.38487985
Mean20240575
Median Absolute Deviation (MAD)42.5
Skewness0.85741529
Sum6.476984 × 108
Variance3175.5796
MonotonicityNot monotonic
2024-05-11T06:04:54.045062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20240531 3
 
9.4%
20240528 3
 
9.4%
20240607 2
 
6.2%
20240606 2
 
6.2%
20240605 2
 
6.2%
20240521 2
 
6.2%
20240526 2
 
6.2%
20240524 2
 
6.2%
20240613 1
 
3.1%
20240620 1
 
3.1%
Other values (12) 12
37.5%
ValueCountFrequency (%)
20240517 1
 
3.1%
20240519 1
 
3.1%
20240521 2
6.2%
20240523 1
 
3.1%
20240524 2
6.2%
20240526 2
6.2%
20240528 3
9.4%
20240530 1
 
3.1%
20240531 3
9.4%
20240604 1
 
3.1%
ValueCountFrequency (%)
20240729 1
3.1%
20240702 1
3.1%
20240621 1
3.1%
20240620 1
3.1%
20240619 1
3.1%
20240617 1
3.1%
20240616 1
3.1%
20240614 1
3.1%
20240613 1
3.1%
20240607 2
6.2%

수강신청 접수시작시간
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
10:00
30 
09:00
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10:00
2nd row10:00
3rd row09:00
4th row10:00
5th row10:00

Common Values

ValueCountFrequency (%)
10:00 30
93.8%
09:00 2
 
6.2%

Length

2024-05-11T06:04:54.546917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:04:55.135197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10:00 30
93.8%
09:00 2
 
6.2%

수강신청 접수마감시간
Categorical

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
09:00
21 
18:00
5 
24:00
5 
10:00
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row09:00
2nd row18:00
3rd row18:00
4th row09:00
5th row18:00

Common Values

ValueCountFrequency (%)
09:00 21
65.6%
18:00 5
 
15.6%
24:00 5
 
15.6%
10:00 1
 
3.1%

Length

2024-05-11T06:04:55.778004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:04:56.316358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00 21
65.6%
18:00 5
 
15.6%
24:00 5
 
15.6%
10:00 1
 
3.1%

교육시작일
Real number (ℝ)

Distinct24
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240586
Minimum20240517
Maximum20240806
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T06:04:57.077826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240517
5-th percentile20240521
Q120240527
median20240604
Q320240615
95-th percentile20240662
Maximum20240806
Range289
Interquartile range (IQR)87.75

Descriptive statistics

Standard deviation62.964404
Coefficient of variation (CV)3.1107995 × 10-6
Kurtosis3.4979159
Mean20240586
Median Absolute Deviation (MAD)21.5
Skewness1.3460477
Sum6.4769874 × 108
Variance3964.5161
MonotonicityNot monotonic
2024-05-11T06:04:57.646400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20240527 3
 
9.4%
20240604 2
 
6.2%
20240531 2
 
6.2%
20240617 2
 
6.2%
20240524 2
 
6.2%
20240607 2
 
6.2%
20240605 2
 
6.2%
20240611 1
 
3.1%
20240529 1
 
3.1%
20240614 1
 
3.1%
Other values (14) 14
43.8%
ValueCountFrequency (%)
20240517 1
 
3.1%
20240520 1
 
3.1%
20240521 1
 
3.1%
20240522 1
 
3.1%
20240524 2
6.2%
20240527 3
9.4%
20240528 1
 
3.1%
20240529 1
 
3.1%
20240531 2
6.2%
20240603 1
 
3.1%
ValueCountFrequency (%)
20240806 1
3.1%
20240703 1
3.1%
20240628 1
3.1%
20240624 1
3.1%
20240621 1
3.1%
20240618 1
3.1%
20240617 2
6.2%
20240614 1
3.1%
20240612 1
3.1%
20240611 1
3.1%

교육종료일
Real number (ℝ)

Distinct23
Distinct (%)71.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240655
Minimum20240517
Maximum20241114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T06:04:58.234734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240517
5-th percentile20240523
Q120240585
median20240620
Q320240626
95-th percentile20240970
Maximum20241114
Range597
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation150.08978
Coefficient of variation (CV)7.4152632 × 10-6
Kurtosis2.5891083
Mean20240655
Median Absolute Deviation (MAD)13.5
Skewness1.7702435
Sum6.4770095 × 108
Variance22526.943
MonotonicityNot monotonic
2024-05-11T06:04:58.740857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
20240524 3
 
9.4%
20240625 2
 
6.2%
20240531 2
 
6.2%
20240626 2
 
6.2%
20240624 2
 
6.2%
20240607 2
 
6.2%
20240617 2
 
6.2%
20240621 2
 
6.2%
20240521 1
 
3.1%
20240925 1
 
3.1%
Other values (13) 13
40.6%
ValueCountFrequency (%)
20240517 1
 
3.1%
20240521 1
 
3.1%
20240524 3
9.4%
20240527 1
 
3.1%
20240531 2
6.2%
20240603 1
 
3.1%
20240605 1
 
3.1%
20240607 2
6.2%
20240616 1
 
3.1%
20240617 2
6.2%
ValueCountFrequency (%)
20241114 1
3.1%
20241025 1
3.1%
20240925 1
3.1%
20240906 1
3.1%
20240828 1
3.1%
20240812 1
3.1%
20240630 1
3.1%
20240628 1
3.1%
20240626 2
6.2%
20240625 2
6.2%

교육시작시간
Categorical

Distinct8
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
13:30
10 
09:30
7 
10:00
5 
14:00
5 
18:30
2 
Other values (3)
3 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique3 ?
Unique (%)9.4%

Sample

1st row13:30
2nd row13:30
3rd row09:30
4th row09:30
5th row09:30

Common Values

ValueCountFrequency (%)
13:30 10
31.2%
09:30 7
21.9%
10:00 5
15.6%
14:00 5
15.6%
18:30 2
 
6.2%
13:00 1
 
3.1%
19:00 1
 
3.1%
10:30 1
 
3.1%

Length

2024-05-11T06:04:59.323617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:04:59.798660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13:30 10
31.2%
09:30 7
21.9%
10:00 5
15.6%
14:00 5
15.6%
18:30 2
 
6.2%
13:00 1
 
3.1%
19:00 1
 
3.1%
10:30 1
 
3.1%

교육종료시간
Categorical

Distinct13
Distinct (%)40.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
16:30
8 
17:00
6 
17:30
4 
14:30
3 
12:30
2 
Other values (8)
9 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique7 ?
Unique (%)21.9%

Sample

1st row16:30
2nd row17:30
3rd row17:30
4th row12:30
5th row17:30

Common Values

ValueCountFrequency (%)
16:30 8
25.0%
17:00 6
18.8%
17:30 4
12.5%
14:30 3
 
9.4%
12:30 2
 
6.2%
13:00 2
 
6.2%
13:30 1
 
3.1%
12:00 1
 
3.1%
22:00 1
 
3.1%
11:30 1
 
3.1%
Other values (3) 3
 
9.4%

Length

2024-05-11T06:05:00.251217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
16:30 8
25.0%
17:00 6
18.8%
17:30 4
12.5%
14:30 3
 
9.4%
12:30 2
 
6.2%
13:00 2
 
6.2%
13:30 1
 
3.1%
12:00 1
 
3.1%
22:00 1
 
3.1%
11:30 1
 
3.1%
Other values (3) 3
 
9.4%

교육요일(월)
Boolean

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size164.0 B
True
32 
ValueCountFrequency (%)
True 32
100.0%
2024-05-11T06:05:00.646261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(화)
Boolean

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size164.0 B
True
32 
ValueCountFrequency (%)
True 32
100.0%
2024-05-11T06:05:00.920564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(수)
Boolean

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size164.0 B
True
32 
ValueCountFrequency (%)
True 32
100.0%
2024-05-11T06:05:01.200786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(목)
Boolean

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size164.0 B
True
32 
ValueCountFrequency (%)
True 32
100.0%
2024-05-11T06:05:01.514119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(금)
Boolean

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size164.0 B
True
32 
ValueCountFrequency (%)
True 32
100.0%
2024-05-11T06:05:01.790582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(토)
Boolean

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size164.0 B
True
32 
ValueCountFrequency (%)
True 32
100.0%
2024-05-11T06:05:02.100870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(일)
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)4.2%
Missing8
Missing (%)25.0%
Memory size196.0 B
True
24 
(Missing)
8 
ValueCountFrequency (%)
True 24
75.0%
(Missing) 8
 
25.0%
2024-05-11T06:05:02.532503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

모집정원
Real number (ℝ)

Distinct7
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.3125
Minimum12
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T06:05:02.861127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile13.65
Q117.5
median20
Q320
95-th percentile30
Maximum35
Range23
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation5.3184857
Coefficient of variation (CV)0.26183314
Kurtosis1.3239332
Mean20.3125
Median Absolute Deviation (MAD)0
Skewness1.1328366
Sum650
Variance28.28629
MonotonicityNot monotonic
2024-05-11T06:05:03.245771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20 18
56.2%
30 4
 
12.5%
16 3
 
9.4%
15 3
 
9.4%
12 2
 
6.2%
35 1
 
3.1%
18 1
 
3.1%
ValueCountFrequency (%)
12 2
 
6.2%
15 3
 
9.4%
16 3
 
9.4%
18 1
 
3.1%
20 18
56.2%
30 4
 
12.5%
35 1
 
3.1%
ValueCountFrequency (%)
35 1
 
3.1%
30 4
 
12.5%
20 18
56.2%
18 1
 
3.1%
16 3
 
9.4%
15 3
 
9.4%
12 2
 
6.2%

예비자모집인원
Real number (ℝ)

Distinct10
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.3125
Minimum3
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T06:05:03.736267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q15
median6
Q310
95-th percentile83.5
Maximum100
Range97
Interquartile range (IQR)5

Descriptive statistics

Standard deviation26.555405
Coefficient of variation (CV)1.5338862
Kurtosis4.8730273
Mean17.3125
Median Absolute Deviation (MAD)3
Skewness2.4018422
Sum554
Variance705.18952
MonotonicityNot monotonic
2024-05-11T06:05:04.151356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
5 10
31.2%
10 6
18.8%
3 4
 
12.5%
50 2
 
6.2%
100 2
 
6.2%
15 2
 
6.2%
6 2
 
6.2%
8 2
 
6.2%
4 1
 
3.1%
70 1
 
3.1%
ValueCountFrequency (%)
3 4
 
12.5%
4 1
 
3.1%
5 10
31.2%
6 2
 
6.2%
8 2
 
6.2%
10 6
18.8%
15 2
 
6.2%
50 2
 
6.2%
70 1
 
3.1%
100 2
 
6.2%
ValueCountFrequency (%)
100 2
 
6.2%
70 1
 
3.1%
50 2
 
6.2%
15 2
 
6.2%
10 6
18.8%
8 2
 
6.2%
6 2
 
6.2%
5 10
31.2%
4 1
 
3.1%
3 4
 
12.5%

수강료(원)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40228.75
Minimum0
Maximum202320
Zeros6
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T06:05:04.555409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110000
median25000
Q360000
95-th percentile100000
Maximum202320
Range202320
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation43799.804
Coefficient of variation (CV)1.0887687
Kurtosis4.8040083
Mean40228.75
Median Absolute Deviation (MAD)25000
Skewness1.8687734
Sum1287320
Variance1.9184228 × 109
MonotonicityNot monotonic
2024-05-11T06:05:05.032596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 6
18.8%
60000 4
12.5%
100000 4
12.5%
50000 4
12.5%
15000 4
12.5%
10000 4
12.5%
20000 2
 
6.2%
30000 2
 
6.2%
202320 1
 
3.1%
45000 1
 
3.1%
ValueCountFrequency (%)
0 6
18.8%
10000 4
12.5%
15000 4
12.5%
20000 2
 
6.2%
30000 2
 
6.2%
45000 1
 
3.1%
50000 4
12.5%
60000 4
12.5%
100000 4
12.5%
202320 1
 
3.1%
ValueCountFrequency (%)
202320 1
 
3.1%
100000 4
12.5%
60000 4
12.5%
50000 4
12.5%
45000 1
 
3.1%
30000 2
 
6.2%
20000 2
 
6.2%
15000 4
12.5%
10000 4
12.5%
0 6
18.8%

접수방법(방문접수여부Y,N)
Boolean

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size164.0 B
True
23 
False
9 
ValueCountFrequency (%)
True 23
71.9%
False 9
 
28.1%
2024-05-11T06:05:05.468456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

접수방법(온라인접수여부Y,N)
Boolean

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size164.0 B
True
32 
ValueCountFrequency (%)
True 32
100.0%
2024-05-11T06:05:05.840811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

상세정보 주소
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-05-11T06:05:06.727502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length90
Mean length90
Min length90

Characters and Unicode

Total characters2880
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

Unique32 ?
Unique (%)100.0%

Sample

1st rowhttps://dongbu.seoulwomanup.or.kr/dongbu/edu/selectEduProgram.do?sch_class_code=C100140183
2nd rowhttps://dongbu.seoulwomanup.or.kr/dongbu/edu/selectEduProgram.do?sch_class_code=C100142119
3rd rowhttps://dongbu.seoulwomanup.or.kr/dongbu/edu/selectEduProgram.do?sch_class_code=C100141941
4th rowhttps://dongbu.seoulwomanup.or.kr/dongbu/edu/selectEduProgram.do?sch_class_code=C100141927
5th rowhttps://dongbu.seoulwomanup.or.kr/dongbu/edu/selectEduProgram.do?sch_class_code=C100141446
ValueCountFrequency (%)
https://dongbu.seoulwomanup.or.kr/dongbu/edu/selecteduprogram.do?sch_class_code=c100140183 1
 
3.1%
https://dongbu.seoulwomanup.or.kr/dongbu/edu/selecteduprogram.do?sch_class_code=c100142119 1
 
3.1%
https://dongbu.seoulwomanup.or.kr/dongbu/edu/selecteduprogram.do?sch_class_code=c100140259 1
 
3.1%
https://dongbu.seoulwomanup.or.kr/dongbu/edu/selecteduprogram.do?sch_class_code=c100140277 1
 
3.1%
https://dongbu.seoulwomanup.or.kr/dongbu/edu/selecteduprogram.do?sch_class_code=c100140266 1
 
3.1%
https://dongbu.seoulwomanup.or.kr/dongbu/edu/selecteduprogram.do?sch_class_code=c100140184 1
 
3.1%
https://dongbu.seoulwomanup.or.kr/dongbu/edu/selecteduprogram.do?sch_class_code=c100140171 1
 
3.1%
https://dongbu.seoulwomanup.or.kr/dongbu/edu/selecteduprogram.do?sch_class_code=c100140173 1
 
3.1%
https://dongbu.seoulwomanup.or.kr/dongbu/edu/selecteduprogram.do?sch_class_code=c100140731 1
 
3.1%
https://dongbu.seoulwomanup.or.kr/dongbu/edu/selecteduprogram.do?sch_class_code=c100141593 1
 
3.1%
Other values (22) 22
68.8%
2024-05-11T06:05:08.270869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 256
 
8.9%
u 192
 
6.7%
s 192
 
6.7%
d 192
 
6.7%
/ 160
 
5.6%
e 160
 
5.6%
r 128
 
4.4%
c 128
 
4.4%
. 128
 
4.4%
l 96
 
3.3%
Other values (27) 1248
43.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2048
71.1%
Other Punctuation 352
 
12.2%
Decimal Number 288
 
10.0%
Uppercase Letter 96
 
3.3%
Connector Punctuation 64
 
2.2%
Math Symbol 32
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 256
12.5%
u 192
 
9.4%
s 192
 
9.4%
d 192
 
9.4%
e 160
 
7.8%
r 128
 
6.2%
c 128
 
6.2%
l 96
 
4.7%
n 96
 
4.7%
g 96
 
4.7%
Other values (8) 512
25.0%
Decimal Number
ValueCountFrequency (%)
0 90
31.2%
1 87
30.2%
4 43
14.9%
2 17
 
5.9%
9 12
 
4.2%
7 11
 
3.8%
6 9
 
3.1%
3 8
 
2.8%
8 6
 
2.1%
5 5
 
1.7%
Other Punctuation
ValueCountFrequency (%)
/ 160
45.5%
. 128
36.4%
: 32
 
9.1%
? 32
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
C 32
33.3%
P 32
33.3%
E 32
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 64
100.0%
Math Symbol
ValueCountFrequency (%)
= 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2144
74.4%
Common 736
 
25.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 256
11.9%
u 192
 
9.0%
s 192
 
9.0%
d 192
 
9.0%
e 160
 
7.5%
r 128
 
6.0%
c 128
 
6.0%
l 96
 
4.5%
n 96
 
4.5%
g 96
 
4.5%
Other values (11) 608
28.4%
Common
ValueCountFrequency (%)
/ 160
21.7%
. 128
17.4%
0 90
12.2%
1 87
11.8%
_ 64
 
8.7%
4 43
 
5.8%
= 32
 
4.3%
: 32
 
4.3%
? 32
 
4.3%
2 17
 
2.3%
Other values (6) 51
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 256
 
8.9%
u 192
 
6.7%
s 192
 
6.7%
d 192
 
6.7%
/ 160
 
5.6%
e 160
 
5.6%
r 128
 
4.4%
c 128
 
4.4%
. 128
 
4.4%
l 96
 
3.3%
Other values (27) 1248
43.3%

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
0C100140183일품한식(4주)6동부여성발전센터J초급202403062024060410:0009:00202406042024062513:3016:30YYYYYYY20560000YYhttps://dongbu.seoulwomanup.or.kr/dongbu/edu/selectEduProgram.do?sch_class_code=C100140183
1C100142119VMD(진열전문가) 매장컨설턴트 양성6동부여성발전센터T통합202405092024061910:0018:00202406282024090613:3017:30YYYYYY<NA>2050100000NYhttps://dongbu.seoulwomanup.or.kr/dongbu/edu/selectEduProgram.do?sch_class_code=C100142119
2C100141941실감콘텐츠 디자인제작자 양성과정6동부여성발전센터M중급202405022024052809:0018:00202406042024111409:3017:30YYYYYY<NA>20100100000NYhttps://dongbu.seoulwomanup.or.kr/dongbu/edu/selectEduProgram.do?sch_class_code=C100141941
3C100141927선물하기 좋은 구움과자 디저트6동부여성발전센터J초급202403062024053010:0009:00202405312024062109:3012:30YYYYYY<NA>16450000YYhttps://dongbu.seoulwomanup.or.kr/dongbu/edu/selectEduProgram.do?sch_class_code=C100141927
4C100141446[서울시 지원] SW테스터 취업과정6동부여성발전센터M중급202404012024060610:0018:00202406122024082809:3017:30YYYYYY<NA>201000NYhttps://dongbu.seoulwomanup.or.kr/dongbu/edu/selectEduProgram.do?sch_class_code=C100141446
5C100141577RPA(로봇자동언어) 개발자 양성과정6동부여성발전센터A초중급202405022024072910:0024:00202408062024102509:3013:30YYYYYY<NA>2070100000NYhttps://dongbu.seoulwomanup.or.kr/dongbu/edu/selectEduProgram.do?sch_class_code=C100141577
6C100140442키오스크 기초 완전정복6동부여성발전센터J초급202403062024061610:0024:00202406172024063010:0013:00YYYYYYY201020000YYhttps://dongbu.seoulwomanup.or.kr/dongbu/edu/selectEduProgram.do?sch_class_code=C100140442
7C100140288[직업특강] 북토크: 긍정마인드로 아름(나)답게 살기에 도전해보기!6동부여성발전센터N관계없음202402012024052110:0009:00202405212024052110:0012:00YYYYYYY35150YYhttps://dongbu.seoulwomanup.or.kr/dongbu/edu/selectEduProgram.do?sch_class_code=C100140288
8C100140286호텔룸메이드 양성과정6동부여성발전센터N관계없음202403062024052610:0009:00202405272024053113:3016:30YYYYYYY20550000YYhttps://dongbu.seoulwomanup.or.kr/dongbu/edu/selectEduProgram.do?sch_class_code=C100140286
9C100140267베이비시터 양성과정6동부여성발전센터N관계없음202403062024051910:0009:00202405202024052413:0017:00YYYYYYY15350000YYhttps://dongbu.seoulwomanup.or.kr/dongbu/edu/selectEduProgram.do?sch_class_code=C100140267
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
22C100140236[창업] 아이디어 도출 및 비즈니스 모델 구축6동부여성발전센터J초급202403062024051710:0009:00202405172024051714:0017:00YYYYYYY201015000YYhttps://dongbu.seoulwomanup.or.kr/dongbu/edu/selectEduProgram.do?sch_class_code=C100140236
23C100141593[직업특강] 셔플댄스: 일상이 즐겁고행복해지는셔플6동부여성발전센터N관계없음202402012024061710:0009:00202406182024061810:0011:30YYYYYY<NA>30150YYhttps://dongbu.seoulwomanup.or.kr/dongbu/edu/selectEduProgram.do?sch_class_code=C100141593
24C100140731천연주방세제와 천연세탁세제 만들기(3주)6동부여성발전센터A초중급202403052024052810:0010:00202405282024061710:3012:30YYYYYYY15550000NYhttps://dongbu.seoulwomanup.or.kr/dongbu/edu/selectEduProgram.do?sch_class_code=C100140731
25C100140173[원데이]눈썹 디자인 완전 정복!6동부여성발전센터J초급202403062024060510:0009:00202406052024060514:0017:00YYYYYYY12620000NYhttps://dongbu.seoulwomanup.or.kr/dongbu/edu/selectEduProgram.do?sch_class_code=C100140173
26C100140171펜 하나로 끝내는, 캘리그라피 _화려체6동부여성발전센터J초급202403062024052110:0024:00202405222024062618:3020:30YYYYYYY15860000YYhttps://dongbu.seoulwomanup.or.kr/dongbu/edu/selectEduProgram.do?sch_class_code=C100140171
27C100140184떡 디저트(4주)6동부여성발전센터J초급202403062024060510:0009:00202406052024062613:3016:30YYYYYYY16545000YYhttps://dongbu.seoulwomanup.or.kr/dongbu/edu/selectEduProgram.do?sch_class_code=C100140184
28C100140266[취업맞춤형]청소연구소 매니저 양성 과정6동부여성발전센터N관계없음202403062024062010:0009:00202406212024062109:3014:30YYYYYYY3030YYhttps://dongbu.seoulwomanup.or.kr/dongbu/edu/selectEduProgram.do?sch_class_code=C100140266
29C100140277[심화]앙금플라워케이크(3주)6동부여성발전센터S고급202403062024061310:0024:00202406142024062810:0014:00YYYYYYY16560000YYhttps://dongbu.seoulwomanup.or.kr/dongbu/edu/selectEduProgram.do?sch_class_code=C100140277
30C100140259[4주] 테마별 메이크업(5월)6동부여성발전센터A초중급202403062024052810:0009:00202405292024062518:3021:30YYYYYYY12860000NYhttps://dongbu.seoulwomanup.or.kr/dongbu/edu/selectEduProgram.do?sch_class_code=C100140259
31C100140190[옛날과자만들기]월병&모나카6동부여성발전센터J초급202403062024052410:0009:00202405272024052713:3016:30YYYYYYY20510000YYhttps://dongbu.seoulwomanup.or.kr/dongbu/edu/selectEduProgram.do?sch_class_code=C100140190