Overview

Dataset statistics

Number of variables27
Number of observations75
Missing cells7
Missing cells (%)0.3%
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-2290/S/1/datasetView.do

Alerts

기관코드 has constant value ""Constant
기관명 has constant value ""Constant
수강신청 접수시작시간 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
수강신청 접수마감시간 is highly imbalanced (68.2%)Imbalance
접수방법(방문접수여부Y,N) is highly imbalanced (75.8%)Imbalance
접수방법(온라인접수여부Y,N) is highly imbalanced (70.0%)Imbalance
교육요일(일) has 7 (9.3%) missing valuesMissing
강좌코드 has unique valuesUnique
강좌명 has unique valuesUnique
상세정보 주소 has unique valuesUnique
예비자모집인원 has 51 (68.0%) zerosZeros
수강료(원) has 2 (2.7%) zerosZeros

Reproduction

Analysis started2024-04-21 00:26:08.542615
Analysis finished2024-04-21 00:26:09.192205
Duration0.65 seconds
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
2024-04-21T09:26:09.371299image/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 rowC100140648
2nd rowC100140580
3rd rowC100140600
4th rowC100141190
5th rowC100141376
ValueCountFrequency (%)
c100140648 1
 
1.3%
c100140571 1
 
1.3%
c100140621 1
 
1.3%
c100140981 1
 
1.3%
c100140683 1
 
1.3%
c100140686 1
 
1.3%
c100141339 1
 
1.3%
c100141571 1
 
1.3%
c100140630 1
 
1.3%
c100140632 1
 
1.3%
Other values (65) 65
86.7%
2024-04-21T09:26:09.738767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 233
31.1%
1 170
22.7%
4 89
 
11.9%
C 75
 
10.0%
6 65
 
8.7%
5 39
 
5.2%
8 18
 
2.4%
3 17
 
2.3%
7 16
 
2.1%
2 15
 
2.0%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 233
34.5%
1 170
25.2%
4 89
 
13.2%
6 65
 
9.6%
5 39
 
5.8%
8 18
 
2.7%
3 17
 
2.5%
7 16
 
2.4%
2 15
 
2.2%
9 13
 
1.9%
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 (%)
0 233
34.5%
1 170
25.2%
4 89
 
13.2%
6 65
 
9.6%
5 39
 
5.8%
8 18
 
2.7%
3 17
 
2.5%
7 16
 
2.4%
2 15
 
2.2%
9 13
 
1.9%
Latin
ValueCountFrequency (%)
C 75
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 750
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 233
31.1%
1 170
22.7%
4 89
 
11.9%
C 75
 
10.0%
6 65
 
8.7%
5 39
 
5.2%
8 18
 
2.4%
3 17
 
2.3%
7 16
 
2.1%
2 15
 
2.0%

강좌명
Text

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
2024-04-21T09:26:09.977134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length24
Mean length14.746667
Min length5

Characters and Unicode

Total characters1106
Distinct characters275
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
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 row헤어연구: 스마트 헤어컬러링
2nd row서예(한문&한글)
3rd row스마트폰 활용지도사
4th row새일집단상담_07기
5th row[서울시지원]ICT 융합(에듀테크) 교육콘텐츠 기획 전문가
ValueCountFrequency (%)
헤어연구 3
 
1.7%
창업대비 3
 
1.7%
주간 3
 
1.7%
야간 3
 
1.7%
베이커리 2
 
1.1%
의류제작기초 2
 
1.1%
반영구 2
 
1.1%
의류제작전문 2
 
1.1%
바리스타 2
 
1.1%
생성형 2
 
1.1%
Other values (148) 152
86.4%
2024-04-21T09:26:10.334250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
101
 
9.1%
) 37
 
3.3%
( 37
 
3.3%
수 27
 
2.4%
기 23
 
2.1%
자 22
 
2.0%
회 19
 
1.7%
리 18
 
1.6%
스 17
 
1.5%
인 16
 
1.4%
Other values (265) 789
71.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 838
75.8%
Space Separator 101
 
9.1%
Close Punctuation 42
 
3.8%
Open Punctuation 42
 
3.8%
Decimal Number 29
 
2.6%
Other Punctuation 23
 
2.1%
Uppercase Letter 17
 
1.5%
Lowercase Letter 11
 
1.0%
Connector Punctuation 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 27
 
3.2%
기 23
 
2.7%
자 22
 
2.6%
회 19
 
2.3%
리 18
 
2.1%
스 17
 
2.0%
인 16
 
1.9%
사 16
 
1.9%
격 16
 
1.9%
트 14
 
1.7%
Other values (234) 650
77.6%
Decimal Number
ValueCountFrequency (%)
1 8
27.6%
4 5
17.2%
5 4
13.8%
0 4
13.8%
2 3
 
10.3%
8 2
 
6.9%
6 2
 
6.9%
7 1
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
I 5
29.4%
T 4
23.5%
A 2
 
11.8%
Q 2
 
11.8%
C 2
 
11.8%
G 1
 
5.9%
P 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
o 4
36.4%
m 2
18.2%
z 2
18.2%
t 1
 
9.1%
a 1
 
9.1%
h 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
& 14
60.9%
: 7
30.4%
, 2
 
8.7%
Close Punctuation
ValueCountFrequency (%)
) 37
88.1%
] 5
 
11.9%
Open Punctuation
ValueCountFrequency (%)
( 37
88.1%
[ 5
 
11.9%
Space Separator
ValueCountFrequency (%)
101
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 838
75.8%
Common 240
 
21.7%
Latin 28
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 27
 
3.2%
기 23
 
2.7%
자 22
 
2.6%
회 19
 
2.3%
리 18
 
2.1%
스 17
 
2.0%
인 16
 
1.9%
사 16
 
1.9%
격 16
 
1.9%
트 14
 
1.7%
Other values (234) 650
77.6%
Common
ValueCountFrequency (%)
101
42.1%
) 37
 
15.4%
( 37
 
15.4%
& 14
 
5.8%
1 8
 
3.3%
: 7
 
2.9%
[ 5
 
2.1%
4 5
 
2.1%
] 5
 
2.1%
5 4
 
1.7%
Other values (8) 17
 
7.1%
Latin
ValueCountFrequency (%)
I 5
17.9%
o 4
14.3%
T 4
14.3%
A 2
 
7.1%
m 2
 
7.1%
z 2
 
7.1%
Q 2
 
7.1%
C 2
 
7.1%
G 1
 
3.6%
t 1
 
3.6%
Other values (3) 3
10.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 838
75.8%
ASCII 268
 
24.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
101
37.7%
) 37
 
13.8%
( 37
 
13.8%
& 14
 
5.2%
1 8
 
3.0%
: 7
 
2.6%
I 5
 
1.9%
[ 5
 
1.9%
4 5
 
1.9%
] 5
 
1.9%
Other values (21) 44
16.4%
Hangul
ValueCountFrequency (%)
수 27
 
3.2%
기 23
 
2.7%
자 22
 
2.6%
회 19
 
2.3%
리 18
 
2.1%
스 17
 
2.0%
인 16
 
1.9%
사 16
 
1.9%
격 16
 
1.9%
트 14
 
1.7%
Other values (234) 650
77.6%

기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
3
75 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 75
100.0%

Length

2024-04-21T09:26:10.462047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:26:10.555722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 75
100.0%

기관명
Categorical

CONSTANT 

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

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북부여성발전센터 75
100.0%

Length

2024-04-21T09:26:10.644737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:26:10.746575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북부여성발전센터 75
100.0%

난이도코드
Categorical

Distinct6
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
J
42 
M
12 
T
7 
N
7 
S
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
J 42
56.0%
M 12
 
16.0%
T 7
 
9.3%
N 7
 
9.3%
S 4
 
5.3%
A 3
 
4.0%

Length

2024-04-21T09:26:10.863058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:26:10.970618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
j 42
56.0%
m 12
 
16.0%
t 7
 
9.3%
n 7
 
9.3%
s 4
 
5.3%
a 3
 
4.0%

난이도명
Categorical

Distinct6
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
초급
42 
중급
12 
통합
7 
관계없음
7 
고급
 
4

Length

Max length4
Median length2
Mean length2.2266667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
초급 42
56.0%
중급 12
 
16.0%
통합 7
 
9.3%
관계없음 7
 
9.3%
고급 4
 
5.3%
초중급 3
 
4.0%

Length

2024-04-21T09:26:11.084438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:26:11.188424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초급 42
56.0%
중급 12
 
16.0%
통합 7
 
9.3%
관계없음 7
 
9.3%
고급 4
 
5.3%
초중급 3
 
4.0%

수강신청 접수시작일
Real number (ℝ)

Distinct7
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240321
Minimum20240313
Maximum20240415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-04-21T09:26:11.284158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240313
5-th percentile20240313
Q120240313
median20240313
Q320240313
95-th percentile20240408
Maximum20240415
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation26.180937
Coefficient of variation (CV)1.293504 × 10-6
Kurtosis8.1814491
Mean20240321
Median Absolute Deviation (MAD)0
Skewness3.1473948
Sum1.5180241 × 109
Variance685.44144
MonotonicityNot monotonic
2024-04-21T09:26:11.383128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20240313 67
89.3%
20240409 2
 
2.7%
20240408 2
 
2.7%
20240314 1
 
1.3%
20240327 1
 
1.3%
20240404 1
 
1.3%
20240415 1
 
1.3%
ValueCountFrequency (%)
20240313 67
89.3%
20240314 1
 
1.3%
20240327 1
 
1.3%
20240404 1
 
1.3%
20240408 2
 
2.7%
20240409 2
 
2.7%
20240415 1
 
1.3%
ValueCountFrequency (%)
20240415 1
 
1.3%
20240409 2
 
2.7%
20240408 2
 
2.7%
20240404 1
 
1.3%
20240327 1
 
1.3%
20240314 1
 
1.3%
20240313 67
89.3%

수강신청 접수종료일
Real number (ℝ)

Distinct17
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240442
Minimum20240423
Maximum20240601
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-04-21T09:26:11.476676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240423
5-th percentile20240426
Q120240426
median20240426
Q320240426
95-th percentile20240523
Maximum20240601
Range178
Interquartile range (IQR)0

Descriptive statistics

Standard deviation37.600795
Coefficient of variation (CV)1.8577063 × 10-6
Kurtosis4.4328371
Mean20240442
Median Absolute Deviation (MAD)0
Skewness2.2735719
Sum1.5180331 × 109
Variance1413.8198
MonotonicityNot monotonic
2024-04-21T09:26:11.580768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
20240426 56
74.7%
20240423 3
 
4.0%
20240429 2
 
2.7%
20240507 1
 
1.3%
20240509 1
 
1.3%
20240508 1
 
1.3%
20240528 1
 
1.3%
20240523 1
 
1.3%
20240430 1
 
1.3%
20240510 1
 
1.3%
Other values (7) 7
 
9.3%
ValueCountFrequency (%)
20240423 3
 
4.0%
20240425 1
 
1.3%
20240426 56
74.7%
20240429 2
 
2.7%
20240430 1
 
1.3%
20240507 1
 
1.3%
20240508 1
 
1.3%
20240509 1
 
1.3%
20240510 1
 
1.3%
20240515 1
 
1.3%
ValueCountFrequency (%)
20240601 1
1.3%
20240530 1
1.3%
20240528 1
1.3%
20240524 1
1.3%
20240523 1
1.3%
20240520 1
1.3%
20240517 1
1.3%
20240515 1
1.3%
20240510 1
1.3%
20240509 1
1.3%

수강신청 접수시작시간
Date

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
Minimum2024-04-21 09:00:00
Maximum2024-04-21 09:00:00
2024-04-21T09:26:11.675887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:26:11.756466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

수강신청 접수마감시간
Categorical

IMBALANCE 

Distinct7
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
18:00
65 
14:00
 
3
10:00
 
2
09:30
 
2
24:00
 
1
Other values (2)
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique3 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
18:00 65
86.7%
14:00 3
 
4.0%
10:00 2
 
2.7%
09:30 2
 
2.7%
24:00 1
 
1.3%
14:30 1
 
1.3%
09:00 1
 
1.3%

Length

2024-04-21T09:26:11.854635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:26:11.950950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18:00 65
86.7%
14:00 3
 
4.0%
10:00 2
 
2.7%
09:30 2
 
2.7%
24:00 1
 
1.3%
14:30 1
 
1.3%
09:00 1
 
1.3%

교육시작일
Real number (ℝ)

Distinct20
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240438
Minimum20240415
Maximum20240601
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-04-21T09:26:12.048692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240415
5-th percentile20240415
Q120240416
median20240418
Q320240424
95-th percentile20240523
Maximum20240601
Range186
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation42.977472
Coefficient of variation (CV)2.1233469 × 10-6
Kurtosis2.4187201
Mean20240438
Median Absolute Deviation (MAD)2
Skewness1.8864362
Sum1.5180329 × 109
Variance1847.0631
MonotonicityNot monotonic
2024-04-21T09:26:12.156922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20240415 15
20.0%
20240418 12
16.0%
20240420 9
12.0%
20240416 8
10.7%
20240417 6
 
8.0%
20240419 5
 
6.7%
20240523 3
 
4.0%
20240528 2
 
2.7%
20240430 2
 
2.7%
20240522 2
 
2.7%
Other values (10) 11
14.7%
ValueCountFrequency (%)
20240415 15
20.0%
20240416 8
10.7%
20240417 6
 
8.0%
20240418 12
16.0%
20240419 5
 
6.7%
20240420 9
12.0%
20240424 1
 
1.3%
20240425 1
 
1.3%
20240426 1
 
1.3%
20240429 1
 
1.3%
ValueCountFrequency (%)
20240601 1
 
1.3%
20240528 2
2.7%
20240523 3
4.0%
20240522 2
2.7%
20240520 1
 
1.3%
20240518 1
 
1.3%
20240511 1
 
1.3%
20240509 2
2.7%
20240508 1
 
1.3%
20240430 2
2.7%

교육종료일
Real number (ℝ)

Distinct27
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240630
Minimum20240425
Maximum20240822
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-04-21T09:26:12.266901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240425
5-th percentile20240485
Q120240624
median20240628
Q320240702
95-th percentile20240703
Maximum20240822
Range397
Interquartile range (IQR)78

Descriptive statistics

Standard deviation75.713452
Coefficient of variation (CV)3.7406668 × 10-6
Kurtosis1.649533
Mean20240630
Median Absolute Deviation (MAD)7
Skewness-0.71246494
Sum1.5180472 × 109
Variance5732.5268
MonotonicityNot monotonic
2024-04-21T09:26:12.369856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
20240630 15
20.0%
20240703 11
14.7%
20240628 9
12.0%
20240702 6
 
8.0%
20240624 6
 
8.0%
20240627 5
 
6.7%
20240626 2
 
2.7%
20240522 2
 
2.7%
20240605 1
 
1.3%
20240727 1
 
1.3%
Other values (17) 17
22.7%
ValueCountFrequency (%)
20240425 1
1.3%
20240426 1
1.3%
20240429 1
1.3%
20240430 1
1.3%
20240509 1
1.3%
20240510 1
1.3%
20240520 1
1.3%
20240522 2
2.7%
20240527 1
1.3%
20240531 1
1.3%
ValueCountFrequency (%)
20240822 1
 
1.3%
20240807 1
 
1.3%
20240727 1
 
1.3%
20240703 11
14.7%
20240702 6
 
8.0%
20240701 1
 
1.3%
20240630 15
20.0%
20240628 9
12.0%
20240627 5
 
6.7%
20240626 2
 
2.7%

교육시작시간
Date

Distinct7
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
Minimum2024-04-21 09:00:00
Maximum2024-04-21 19:00:00
2024-04-21T09:26:12.475679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:26:12.561489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

교육종료시간
Date

Distinct11
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
Minimum2024-04-21 12:00:00
Maximum2024-04-21 22:00:00
2024-04-21T09:26:12.650229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:26:12.753689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

교육요일(월)
Boolean

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size207.0 B
True
75 
ValueCountFrequency (%)
True 75
100.0%
2024-04-21T09:26:12.862468image/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%
2024-04-21T09:26:12.935358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(수)
Boolean

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size207.0 B
True
75 
ValueCountFrequency (%)
True 75
100.0%
2024-04-21T09:26:13.002658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(목)
Boolean

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size207.0 B
True
75 
ValueCountFrequency (%)
True 75
100.0%
2024-04-21T09:26:13.076089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(금)
Boolean

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size207.0 B
True
75 
ValueCountFrequency (%)
True 75
100.0%
2024-04-21T09:26:13.144799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(토)
Boolean

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size207.0 B
True
75 
ValueCountFrequency (%)
True 75
100.0%
2024-04-21T09:26:13.217064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(일)
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)1.5%
Missing7
Missing (%)9.3%
Memory size282.0 B
True
68 
(Missing)
7 
ValueCountFrequency (%)
True 68
90.7%
(Missing) 7
 
9.3%
2024-04-21T09:26:13.282820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

모집정원
Real number (ℝ)

Distinct9
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.36
Minimum10
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-04-21T09:26:13.351936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile13.4
Q120
median20
Q324
95-th percentile25
Maximum25
Range15
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.7295025
Coefficient of variation (CV)0.18317792
Kurtosis0.44360799
Mean20.36
Median Absolute Deviation (MAD)4
Skewness-0.88699751
Sum1527
Variance13.909189
MonotonicityNot monotonic
2024-04-21T09:26:13.452678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20 30
40.0%
24 15
20.0%
25 8
 
10.7%
22 7
 
9.3%
16 6
 
8.0%
15 3
 
4.0%
12 2
 
2.7%
10 2
 
2.7%
14 2
 
2.7%
ValueCountFrequency (%)
10 2
 
2.7%
12 2
 
2.7%
14 2
 
2.7%
15 3
 
4.0%
16 6
 
8.0%
20 30
40.0%
22 7
 
9.3%
24 15
20.0%
25 8
 
10.7%
ValueCountFrequency (%)
25 8
 
10.7%
24 15
20.0%
22 7
 
9.3%
20 30
40.0%
16 6
 
8.0%
15 3
 
4.0%
14 2
 
2.7%
12 2
 
2.7%
10 2
 
2.7%

예비자모집인원
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8533333
Minimum0
Maximum10
Zeros51
Zeros (%)68.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-04-21T09:26:13.545699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile7
Maximum10
Range10
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.8269616
Coefficient of variation (CV)1.525339
Kurtosis-0.46696223
Mean1.8533333
Median Absolute Deviation (MAD)0
Skewness1.0492866
Sum139
Variance7.9917117
MonotonicityNot monotonic
2024-04-21T09:26:13.647798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 51
68.0%
6 12
 
16.0%
4 6
 
8.0%
7 4
 
5.3%
5 1
 
1.3%
10 1
 
1.3%
ValueCountFrequency (%)
0 51
68.0%
4 6
 
8.0%
5 1
 
1.3%
6 12
 
16.0%
7 4
 
5.3%
10 1
 
1.3%
ValueCountFrequency (%)
10 1
 
1.3%
7 4
 
5.3%
6 12
 
16.0%
5 1
 
1.3%
4 6
 
8.0%
0 51
68.0%

수강료(원)
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94840
Minimum0
Maximum700000
Zeros2
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-04-21T09:26:13.739956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9900
Q167000
median84000
Q3104000
95-th percentile153900
Maximum700000
Range700000
Interquartile range (IQR)37000

Descriptive statistics

Standard deviation83764.799
Coefficient of variation (CV)0.88322226
Kurtosis37.377191
Mean94840
Median Absolute Deviation (MAD)18000
Skewness5.3221886
Sum7113000
Variance7.0165416 × 109
MonotonicityNot monotonic
2024-04-21T09:26:13.840365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
84000 18
24.0%
76000 11
14.7%
150000 5
 
6.7%
135000 5
 
6.7%
67000 3
 
4.0%
66000 3
 
4.0%
104000 3
 
4.0%
101000 2
 
2.7%
53000 2
 
2.7%
5000 2
 
2.7%
Other values (17) 21
28.0%
ValueCountFrequency (%)
0 2
2.7%
5000 2
2.7%
12000 1
1.3%
15000 1
1.3%
35000 1
1.3%
38000 2
2.7%
44000 1
1.3%
51000 1
1.3%
53000 2
2.7%
55000 1
1.3%
ValueCountFrequency (%)
700000 1
 
1.3%
288000 1
 
1.3%
171000 1
 
1.3%
163000 1
 
1.3%
150000 5
6.7%
135000 5
6.7%
126000 2
 
2.7%
113000 1
 
1.3%
104000 3
4.0%
101000 2
 
2.7%

접수방법(방문접수여부Y,N)
Boolean

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size207.0 B
True
72 
False
 
3
ValueCountFrequency (%)
True 72
96.0%
False 3
 
4.0%
2024-04-21T09:26:13.935328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

접수방법(온라인접수여부Y,N)
Boolean

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size207.0 B
True
71 
False
 
4
ValueCountFrequency (%)
True 71
94.7%
False 4
 
5.3%
2024-04-21T09:26:14.010259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

상세정보 주소
Text

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
2024-04-21T09:26:14.240828image/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://bukbu.seoulwomanup.or.kr/bukbu/edu/selectEduProgram.do?sch_class_code=C100140648
2nd rowhttps://bukbu.seoulwomanup.or.kr/bukbu/edu/selectEduProgram.do?sch_class_code=C100140580
3rd rowhttps://bukbu.seoulwomanup.or.kr/bukbu/edu/selectEduProgram.do?sch_class_code=C100140600
4th rowhttps://bukbu.seoulwomanup.or.kr/bukbu/edu/selectEduProgram.do?sch_class_code=C100141190
5th rowhttps://bukbu.seoulwomanup.or.kr/bukbu/edu/selectEduProgram.do?sch_class_code=C100141376
ValueCountFrequency (%)
https://bukbu.seoulwomanup.or.kr/bukbu/edu/selecteduprogram.do?sch_class_code=c100140648 1
 
1.3%
https://bukbu.seoulwomanup.or.kr/bukbu/edu/selecteduprogram.do?sch_class_code=c100140571 1
 
1.3%
https://bukbu.seoulwomanup.or.kr/bukbu/edu/selecteduprogram.do?sch_class_code=c100140621 1
 
1.3%
https://bukbu.seoulwomanup.or.kr/bukbu/edu/selecteduprogram.do?sch_class_code=c100140981 1
 
1.3%
https://bukbu.seoulwomanup.or.kr/bukbu/edu/selecteduprogram.do?sch_class_code=c100140683 1
 
1.3%
https://bukbu.seoulwomanup.or.kr/bukbu/edu/selecteduprogram.do?sch_class_code=c100140686 1
 
1.3%
https://bukbu.seoulwomanup.or.kr/bukbu/edu/selecteduprogram.do?sch_class_code=c100141339 1
 
1.3%
https://bukbu.seoulwomanup.or.kr/bukbu/edu/selecteduprogram.do?sch_class_code=c100141571 1
 
1.3%
https://bukbu.seoulwomanup.or.kr/bukbu/edu/selecteduprogram.do?sch_class_code=c100140630 1
 
1.3%
https://bukbu.seoulwomanup.or.kr/bukbu/edu/selecteduprogram.do?sch_class_code=c100140632 1
 
1.3%
Other values (65) 65
86.7%
2024-04-21T09:26:14.623381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
u 600
 
9.1%
s 450
 
6.8%
o 450
 
6.8%
/ 375
 
5.7%
e 375
 
5.7%
d 300
 
4.5%
c 300
 
4.5%
b 300
 
4.5%
r 300
 
4.5%
. 300
 
4.5%
Other values (27) 2850
43.2%

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 (%)
u 600
12.9%
s 450
 
9.7%
o 450
 
9.7%
e 375
 
8.1%
d 300
 
6.5%
c 300
 
6.5%
b 300
 
6.5%
r 300
 
6.5%
a 225
 
4.8%
k 225
 
4.8%
Other values (8) 1125
24.2%
Decimal Number
ValueCountFrequency (%)
0 233
34.5%
1 170
25.2%
4 89
 
13.2%
6 65
 
9.6%
5 39
 
5.8%
8 18
 
2.7%
3 17
 
2.5%
7 16
 
2.4%
2 15
 
2.2%
9 13
 
1.9%
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 (%)
u 600
12.3%
s 450
 
9.2%
o 450
 
9.2%
e 375
 
7.7%
d 300
 
6.2%
c 300
 
6.2%
b 300
 
6.2%
r 300
 
6.2%
a 225
 
4.6%
k 225
 
4.6%
Other values (11) 1350
27.7%
Common
ValueCountFrequency (%)
/ 375
21.7%
. 300
17.4%
0 233
13.5%
1 170
9.9%
_ 150
 
8.7%
4 89
 
5.2%
= 75
 
4.3%
: 75
 
4.3%
? 75
 
4.3%
6 65
 
3.8%
Other values (6) 118
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
u 600
 
9.1%
s 450
 
6.8%
o 450
 
6.8%
/ 375
 
5.7%
e 375
 
5.7%
d 300
 
4.5%
c 300
 
4.5%
b 300
 
4.5%
r 300
 
4.5%
. 300
 
4.5%
Other values (27) 2850
43.2%

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
0C100140648헤어연구: 스마트 헤어컬러링3북부여성발전센터M중급202403132024042609:0018:00202404182024070310:0013:00YYYYYYY24076000YYhttps://bukbu.seoulwomanup.or.kr/bukbu/edu/selectEduProgram.do?sch_class_code=C100140648
1C100140580서예(한문&한글)3북부여성발전센터T통합202403132024042609:0018:00202404182024070314:0017:00YYYYYYY24076000YYhttps://bukbu.seoulwomanup.or.kr/bukbu/edu/selectEduProgram.do?sch_class_code=C100140580
2C100140600스마트폰 활용지도사3북부여성발전센터J초급202403132024042609:0018:00202404192024062718:3021:30YYYYYYY22084000YYhttps://bukbu.seoulwomanup.or.kr/bukbu/edu/selectEduProgram.do?sch_class_code=C100140600
3C100141190새일집단상담_07기3북부여성발전센터N관계없음202403142024042309:0018:00202404242024042609:3013:30YYYYYY<NA>2000YYhttps://bukbu.seoulwomanup.or.kr/bukbu/edu/selectEduProgram.do?sch_class_code=C100141190
4C100141376[서울시지원]ICT 융합(에듀테크) 교육콘텐츠 기획 전문가3북부여성발전센터J초급202403272024052009:0024:00202405282024082209:3013:30YYYYYY<NA>200100000NNhttps://bukbu.seoulwomanup.or.kr/bukbu/edu/selectEduProgram.do?sch_class_code=C100141376
5C100140673블로그&인스타그램 마케팅3북부여성발전센터J초급202403132024042609:0018:00202404172024070218:3021:30YYYYYYY20084000YYhttps://bukbu.seoulwomanup.or.kr/bukbu/edu/selectEduProgram.do?sch_class_code=C100140673
6C100140666정리수납전문가 주말(5회)3북부여성발전센터J초급202403132024052409:0018:00202405182024062110:0013:00YYYYYYY20653000YYhttps://bukbu.seoulwomanup.or.kr/bukbu/edu/selectEduProgram.do?sch_class_code=C100140666
7C100140665정리수납전문가(5회)3북부여성발전센터J초급202403132024042309:0010:00202404162024052010:0013:00YYYYYYY20053000YYhttps://bukbu.seoulwomanup.or.kr/bukbu/edu/selectEduProgram.do?sch_class_code=C100140665
8C100140662패션디자인 패턴(수강자격확인필수)3북부여성발전센터M중급202403132024042609:0018:00202404182024070309:3012:30YYYYYYY20084000YYhttps://bukbu.seoulwomanup.or.kr/bukbu/edu/selectEduProgram.do?sch_class_code=C100140662
9C100140661의류수선전문(수강자격확인필수)3북부여성발전센터M중급202403132024042609:0018:00202404162024062410:0013:00YYYYYYY20084000YYhttps://bukbu.seoulwomanup.or.kr/bukbu/edu/selectEduProgram.do?sch_class_code=C100140661
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
65C100140577전통공예: 표구와 한지공예3북부여성발전센터T통합202403132024042609:0018:00202404152024063010:0013:00YYYYYYY20084000YYhttps://bukbu.seoulwomanup.or.kr/bukbu/edu/selectEduProgram.do?sch_class_code=C100140577
66C100140708약이 되는 밥상 약선음식(4회)3북부여성발전센터J초급202403132024052809:0014:00202405282024062414:0017:00YYYYYYY16451000YYhttps://bukbu.seoulwomanup.or.kr/bukbu/edu/selectEduProgram.do?sch_class_code=C100140708
67C100140604ITQ파워포인트자격증3북부여성발전센터J초급202403132024042609:0018:00202404152024063018:3021:30YYYYYYY22084000YYhttps://bukbu.seoulwomanup.or.kr/bukbu/edu/selectEduProgram.do?sch_class_code=C100140604
68C100140561재미있는 전래오감놀이(1회)3북부여성발전센터N관계없음202403132024042909:0018:00202404302024043010:0012:00YYYYYYY2065000YYhttps://bukbu.seoulwomanup.or.kr/bukbu/edu/selectEduProgram.do?sch_class_code=C100140561
69C100141406[내일배움]컴퓨터활용능력2급 자격증3북부여성발전센터M중급202404082024050809:0018:00202405112024072709:3013:30YYYYYY<NA>220288000NNhttps://bukbu.seoulwomanup.or.kr/bukbu/edu/selectEduProgram.do?sch_class_code=C100141406
70C100141671[zoom]하루 1시간, 블로그 수익화하기(4회)3북부여성발전센터N관계없음202404152024050909:0010:00202405092024060510:0012:30YYYYYY<NA>20644000YYhttps://bukbu.seoulwomanup.or.kr/bukbu/edu/selectEduProgram.do?sch_class_code=C100141671
71C100140688반영구 스킨아트 중급(수강자격확인필수)3북부여성발전센터M중급202403132024042609:0018:00202404152024063014:0017:00YYYYYYY160101000YYhttps://bukbu.seoulwomanup.or.kr/bukbu/edu/selectEduProgram.do?sch_class_code=C100140688
72C100140687스마트폰으로 촬영하는 제품사진3북부여성발전센터A초중급202403132024042609:0018:00202404182024070314:0017:00YYYYYYY20084000YYhttps://bukbu.seoulwomanup.or.kr/bukbu/edu/selectEduProgram.do?sch_class_code=C100140687
73C100140651헤어연구: 바버링(클리퍼 마스터)(수강자격확인필수)3북부여성발전센터M중급202403132024042609:0018:00202404152024063014:0017:00YYYYYYY24076000YYhttps://bukbu.seoulwomanup.or.kr/bukbu/edu/selectEduProgram.do?sch_class_code=C100140651
74C100140627수제버거&브런치 창업따라잡기3북부여성발전센터J초급202403132024042609:0018:00202404152024063014:0017:00YYYYYYY160101000YYhttps://bukbu.seoulwomanup.or.kr/bukbu/edu/selectEduProgram.do?sch_class_code=C100140627