Overview

Dataset statistics

Number of variables27
Number of observations59
Missing cells35
Missing cells (%)2.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.0 KiB
Average record size in memory226.2 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-2213/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
접수방법(온라인접수여부Y,N) is highly imbalanced (58.1%)Imbalance
교육요일(일) has 35 (59.3%) missing valuesMissing
강좌코드 has unique valuesUnique
상세정보 주소 has unique valuesUnique
예비자모집인원 has 38 (64.4%) zerosZeros
수강료(원) has 7 (11.9%) zerosZeros

Reproduction

Analysis started2024-05-11 05:31:10.933421
Analysis finished2024-05-11 05:31:11.562875
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

강좌코드
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2024-05-11T14:31:11.926039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters590
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

Unique59 ?
Unique (%)100.0%

Sample

1st rowC100141955
2nd rowC100141814
3rd rowC100141812
4th rowC100141810
5th rowC100141809
ValueCountFrequency (%)
c100141955 1
 
1.7%
c100140434 1
 
1.7%
c100136199 1
 
1.7%
c100140696 1
 
1.7%
c100140695 1
 
1.7%
c100132712 1
 
1.7%
c100141326 1
 
1.7%
c100141951 1
 
1.7%
c100141826 1
 
1.7%
c100138586 1
 
1.7%
Other values (49) 49
83.1%
2024-05-11T14:31:12.618891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 170
28.8%
0 139
23.6%
4 67
 
11.4%
C 59
 
10.0%
9 31
 
5.3%
3 28
 
4.7%
8 25
 
4.2%
7 20
 
3.4%
6 19
 
3.2%
5 16
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 531
90.0%
Uppercase Letter 59
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 170
32.0%
0 139
26.2%
4 67
 
12.6%
9 31
 
5.8%
3 28
 
5.3%
8 25
 
4.7%
7 20
 
3.8%
6 19
 
3.6%
5 16
 
3.0%
2 16
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
C 59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 531
90.0%
Latin 59
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 170
32.0%
0 139
26.2%
4 67
 
12.6%
9 31
 
5.8%
3 28
 
5.3%
8 25
 
4.7%
7 20
 
3.8%
6 19
 
3.6%
5 16
 
3.0%
2 16
 
3.0%
Latin
ValueCountFrequency (%)
C 59
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 590
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 170
28.8%
0 139
23.6%
4 67
 
11.4%
C 59
 
10.0%
9 31
 
5.3%
3 28
 
4.7%
8 25
 
4.2%
7 20
 
3.4%
6 19
 
3.2%
5 16
 
2.7%

강좌명
Text

Distinct58
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size604.0 B
2024-05-11T14:31:13.037272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length24
Mean length18.881356
Min length7

Characters and Unicode

Total characters1114
Distinct characters210
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)96.6%

Sample

1st row[국비교육]동기부여 프로그램
2nd row[내일배움]제과기능사 취득(실기)
3rd row[결제용] 일식 가정요리
4th row[내일배움] 일식 가정요리
5th row[결제용] 한식 반찬조리실무 B
ValueCountFrequency (%)
취득(실기 4
 
2.8%
국비교육 3
 
2.1%
양성 3
 
2.1%
결제용 3
 
2.1%
내일배움 3
 
2.1%
2024 3
 
2.1%
스마트폰+컴퓨터 2
 
1.4%
배워서 2
 
1.4%
쉽게 2
 
1.4%
전문가 2
 
1.4%
Other values (102) 114
80.9%
2024-05-11T14:31:13.656263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
83
 
7.5%
[ 31
 
2.8%
] 31
 
2.8%
( 29
 
2.6%
) 29
 
2.6%
사 26
 
2.3%
일 24
 
2.2%
배 23
 
2.1%
기 22
 
2.0%
움 20
 
1.8%
Other values (200) 796
71.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 815
73.2%
Space Separator 83
 
7.5%
Open Punctuation 60
 
5.4%
Close Punctuation 60
 
5.4%
Other Punctuation 25
 
2.2%
Decimal Number 22
 
2.0%
Uppercase Letter 19
 
1.7%
Connector Punctuation 9
 
0.8%
Lowercase Letter 7
 
0.6%
Other Symbol 6
 
0.5%
Other values (3) 8
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 26
 
3.2%
일 24
 
2.9%
배 23
 
2.8%
기 22
 
2.7%
움 20
 
2.5%
내 20
 
2.5%
리 19
 
2.3%
반 14
 
1.7%
한 13
 
1.6%
셀 13
 
1.6%
Other values (168) 621
76.2%
Decimal Number
ValueCountFrequency (%)
2 11
50.0%
0 4
 
18.2%
4 3
 
13.6%
1 2
 
9.1%
9 1
 
4.5%
8 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
Q 5
26.3%
T 5
26.3%
I 5
26.3%
B 2
 
10.5%
H 1
 
5.3%
L 1
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
e 2
28.6%
r 1
14.3%
a 1
14.3%
m 1
14.3%
o 1
14.3%
n 1
14.3%
Other Punctuation
ValueCountFrequency (%)
/ 12
48.0%
, 8
32.0%
& 4
 
16.0%
. 1
 
4.0%
Open Punctuation
ValueCountFrequency (%)
[ 31
51.7%
( 29
48.3%
Close Punctuation
ValueCountFrequency (%)
] 31
51.7%
) 29
48.3%
Space Separator
ValueCountFrequency (%)
83
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%
Other Symbol
ValueCountFrequency (%)
★ 6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 815
73.2%
Common 272
 
24.4%
Latin 27
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 26
 
3.2%
일 24
 
2.9%
배 23
 
2.8%
기 22
 
2.7%
움 20
 
2.5%
내 20
 
2.5%
리 19
 
2.3%
반 14
 
1.7%
한 13
 
1.6%
셀 13
 
1.6%
Other values (168) 621
76.2%
Common
ValueCountFrequency (%)
83
30.5%
[ 31
 
11.4%
] 31
 
11.4%
( 29
 
10.7%
) 29
 
10.7%
/ 12
 
4.4%
2 11
 
4.0%
_ 9
 
3.3%
, 8
 
2.9%
★ 6
 
2.2%
Other values (9) 23
 
8.5%
Latin
ValueCountFrequency (%)
Q 5
18.5%
T 5
18.5%
I 5
18.5%
e 2
 
7.4%
B 2
 
7.4%
H 1
 
3.7%
r 1
 
3.7%
a 1
 
3.7%
L 1
 
3.7%
m 1
 
3.7%
Other values (3) 3
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 815
73.2%
ASCII 292
 
26.2%
Misc Symbols 6
 
0.5%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
83
28.4%
[ 31
 
10.6%
] 31
 
10.6%
( 29
 
9.9%
) 29
 
9.9%
/ 12
 
4.1%
2 11
 
3.8%
_ 9
 
3.1%
, 8
 
2.7%
+ 6
 
2.1%
Other values (20) 43
14.7%
Hangul
ValueCountFrequency (%)
사 26
 
3.2%
일 24
 
2.9%
배 23
 
2.8%
기 22
 
2.7%
움 20
 
2.5%
내 20
 
2.5%
리 19
 
2.3%
반 14
 
1.7%
한 13
 
1.6%
셀 13
 
1.6%
Other values (168) 621
76.2%
Misc Symbols
ValueCountFrequency (%)
★ 6
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
25
59 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row25
2nd row25
3rd row25
4th row25
5th row25

Common Values

ValueCountFrequency (%)
25 59
100.0%

Length

2024-05-11T14:31:13.886994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:14.080579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
25 59
100.0%

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
중랑여성인력개발센터
59 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중랑여성인력개발센터 59
100.0%

Length

2024-05-11T14:31:14.250407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:14.504827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중랑여성인력개발센터 59
100.0%

난이도코드
Categorical

Distinct3
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size604.0 B
N
43 
J
11 
C
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowC
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N 43
72.9%
J 11
 
18.6%
C 5
 
8.5%

Length

2024-05-11T14:31:14.749542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:14.931508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 43
72.9%
j 11
 
18.6%
c 5
 
8.5%

난이도명
Categorical

Distinct3
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size604.0 B
관계없음
43 
초급
11 
자격
5 

Length

Max length4
Median length4
Mean length3.4576271
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row관계없음
2nd row자격
3rd row관계없음
4th row관계없음
5th row관계없음

Common Values

ValueCountFrequency (%)
관계없음 43
72.9%
초급 11
 
18.6%
자격 5
 
8.5%

Length

2024-05-11T14:31:15.222573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:15.397206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관계없음 43
72.9%
초급 11
 
18.6%
자격 5
 
8.5%

수강신청 접수시작일
Real number (ℝ)

Distinct28
Distinct (%)47.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20236501
Minimum20230103
Maximum20240503
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T14:31:15.580620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20230103
5-th percentile20230798
Q120231201
median20240101
Q320240260
95-th percentile20240422
Maximum20240503
Range10400
Interquartile range (IQR)9059.5

Descriptive statistics

Standard deviation4580.5397
Coefficient of variation (CV)0.00022635037
Kurtosis-1.8998544
Mean20236501
Median Absolute Deviation (MAD)321
Skewness-0.39361178
Sum1.1939536 × 109
Variance20981344
MonotonicityDecreasing
2024-05-11T14:31:15.873014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
20240101 10
16.9%
20240422 5
 
8.5%
20240401 4
 
6.8%
20240220 4
 
6.8%
20231101 3
 
5.1%
20240212 3
 
5.1%
20231201 3
 
5.1%
20231222 3
 
5.1%
20240419 2
 
3.4%
20240301 2
 
3.4%
Other values (18) 20
33.9%
ValueCountFrequency (%)
20230103 1
 
1.7%
20230213 1
 
1.7%
20230721 1
 
1.7%
20230807 1
 
1.7%
20230808 1
 
1.7%
20230904 1
 
1.7%
20231101 3
5.1%
20231106 2
3.4%
20231113 1
 
1.7%
20231120 1
 
1.7%
ValueCountFrequency (%)
20240503 1
 
1.7%
20240422 5
8.5%
20240419 2
 
3.4%
20240401 4
6.8%
20240311 1
 
1.7%
20240301 2
 
3.4%
20240220 4
6.8%
20240212 3
5.1%
20240201 2
 
3.4%
20240129 1
 
1.7%

수강신청 접수종료일
Real number (ℝ)

Distinct32
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240598
Minimum20240516
Maximum20240904
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T14:31:16.059568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240516
5-th percentile20240518
Q120240527
median20240614
Q320240622
95-th percentile20240725
Maximum20240904
Range388
Interquartile range (IQR)95

Descriptive statistics

Standard deviation80.818714
Coefficient of variation (CV)3.9929016 × 10-6
Kurtosis3.3748656
Mean20240598
Median Absolute Deviation (MAD)83
Skewness1.5401786
Sum1.1941953 × 109
Variance6531.6645
MonotonicityNot monotonic
2024-05-11T14:31:16.307536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
20240614 6
 
10.2%
20240527 4
 
6.8%
20240620 4
 
6.8%
20240522 3
 
5.1%
20240624 3
 
5.1%
20240528 3
 
5.1%
20240531 3
 
5.1%
20240521 2
 
3.4%
20240622 2
 
3.4%
20240524 2
 
3.4%
Other values (22) 27
45.8%
ValueCountFrequency (%)
20240516 1
 
1.7%
20240517 1
 
1.7%
20240518 2
3.4%
20240520 1
 
1.7%
20240521 2
3.4%
20240522 3
5.1%
20240524 2
3.4%
20240527 4
6.8%
20240528 3
5.1%
20240529 2
3.4%
ValueCountFrequency (%)
20240904 1
1.7%
20240823 1
1.7%
20240805 1
1.7%
20240716 1
1.7%
20240709 1
1.7%
20240708 1
1.7%
20240703 1
1.7%
20240629 1
1.7%
20240627 2
3.4%
20240626 1
1.7%

수강신청 접수시작시간
Date

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
Minimum2024-05-11 09:00:00
Maximum2024-05-11 09:00:00
2024-05-11T14:31:16.519805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:31:16.667799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

수강신청 접수마감시간
Categorical

Distinct11
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Memory size604.0 B
12:00
30 
18:00
13 
11:00
 
3
10:00
 
3
22:00
 
2
Other values (6)
8 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique4 ?
Unique (%)6.8%

Sample

1st row18:00
2nd row11:00
3rd row18:00
4th row18:00
5th row18:00

Common Values

ValueCountFrequency (%)
12:00 30
50.8%
18:00 13
22.0%
11:00 3
 
5.1%
10:00 3
 
5.1%
22:00 2
 
3.4%
09:00 2
 
3.4%
13:00 2
 
3.4%
24:00 1
 
1.7%
14:00 1
 
1.7%
00:00 1
 
1.7%

Length

2024-05-11T14:31:16.849726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
12:00 30
50.8%
18:00 13
22.0%
11:00 3
 
5.1%
10:00 3
 
5.1%
22:00 2
 
3.4%
09:00 2
 
3.4%
13:00 2
 
3.4%
24:00 1
 
1.7%
14:00 1
 
1.7%
00:00 1
 
1.7%

교육시작일
Real number (ℝ)

Distinct31
Distinct (%)52.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240597
Minimum20240516
Maximum20240903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T14:31:17.060113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240516
5-th percentile20240518
Q120240522
median20240610
Q320240618
95-th percentile20240720
Maximum20240903
Range387
Interquartile range (IQR)96

Descriptive statistics

Standard deviation80.715148
Coefficient of variation (CV)3.9877849 × 10-6
Kurtosis3.6425384
Mean20240597
Median Absolute Deviation (MAD)16
Skewness1.5811322
Sum1.1941952 × 109
Variance6514.9351
MonotonicityNot monotonic
2024-05-11T14:31:17.342890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
20240520 7
 
11.9%
20240613 5
 
8.5%
20240617 3
 
5.1%
20240603 3
 
5.1%
20240522 3
 
5.1%
20240521 3
 
5.1%
20240619 3
 
5.1%
20240626 2
 
3.4%
20240822 2
 
3.4%
20240611 2
 
3.4%
Other values (21) 26
44.1%
ValueCountFrequency (%)
20240516 1
 
1.7%
20240517 1
 
1.7%
20240518 2
 
3.4%
20240520 7
11.9%
20240521 3
5.1%
20240522 3
5.1%
20240523 2
 
3.4%
20240524 1
 
1.7%
20240527 1
 
1.7%
20240531 1
 
1.7%
ValueCountFrequency (%)
20240903 1
 
1.7%
20240822 2
3.4%
20240709 1
 
1.7%
20240708 1
 
1.7%
20240702 1
 
1.7%
20240701 1
 
1.7%
20240626 2
3.4%
20240622 1
 
1.7%
20240620 1
 
1.7%
20240619 3
5.1%

교육종료일
Real number (ℝ)

Distinct45
Distinct (%)76.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240736
Minimum20240523
Maximum20241126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T14:31:17.629415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240523
5-th percentile20240598
Q120240620
median20240719
Q320240814
95-th percentile20240936
Maximum20241126
Range603
Interquartile range (IQR)195

Descriptive statistics

Standard deviation129.25042
Coefficient of variation (CV)6.3856583 × 10-6
Kurtosis1.2866306
Mean20240736
Median Absolute Deviation (MAD)100
Skewness0.93587413
Sum1.1942034 × 109
Variance16705.672
MonotonicityNot monotonic
2024-05-11T14:31:17.940283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
20240828 3
 
5.1%
20240610 3
 
5.1%
20240729 2
 
3.4%
20240823 2
 
3.4%
20240905 2
 
3.4%
20240618 2
 
3.4%
20240720 2
 
3.4%
20240619 2
 
3.4%
20240810 2
 
3.4%
20240809 2
 
3.4%
Other values (35) 37
62.7%
ValueCountFrequency (%)
20240523 1
 
1.7%
20240524 1
 
1.7%
20240531 1
 
1.7%
20240605 1
 
1.7%
20240607 1
 
1.7%
20240610 3
5.1%
20240611 1
 
1.7%
20240615 1
 
1.7%
20240617 1
 
1.7%
20240618 2
3.4%
ValueCountFrequency (%)
20241126 1
 
1.7%
20241114 1
 
1.7%
20241031 1
 
1.7%
20240926 1
 
1.7%
20240911 1
 
1.7%
20240905 2
3.4%
20240828 3
5.1%
20240823 2
3.4%
20240821 1
 
1.7%
20240820 1
 
1.7%

교육시작시간
Date

Distinct8
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size604.0 B
Minimum2024-05-11 09:00:00
Maximum2024-05-11 19:10:00
2024-05-11T14:31:18.120381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:31:18.292972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

교육종료시간
Date

Distinct11
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Memory size604.0 B
Minimum2024-05-11 12:30:00
Maximum2024-05-11 22:00:00
2024-05-11T14:31:18.463738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:31:18.699663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

교육요일(월)
Boolean

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size191.0 B
True
59 
ValueCountFrequency (%)
True 59
100.0%
2024-05-11T14:31:18.902657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(화)
Boolean

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size191.0 B
True
59 
ValueCountFrequency (%)
True 59
100.0%
2024-05-11T14:31:19.026640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(수)
Boolean

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size191.0 B
True
59 
ValueCountFrequency (%)
True 59
100.0%
2024-05-11T14:31:19.180212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(목)
Boolean

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size191.0 B
True
59 
ValueCountFrequency (%)
True 59
100.0%
2024-05-11T14:31:19.314532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(금)
Boolean

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size191.0 B
True
59 
ValueCountFrequency (%)
True 59
100.0%
2024-05-11T14:31:19.439729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(토)
Boolean

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size191.0 B
True
59 
ValueCountFrequency (%)
True 59
100.0%
2024-05-11T14:31:19.580410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(일)
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)4.2%
Missing35
Missing (%)59.3%
Memory size250.0 B
True
24 
(Missing)
35 
ValueCountFrequency (%)
True 24
40.7%
(Missing) 35
59.3%
2024-05-11T14:31:19.730966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

모집정원
Real number (ℝ)

Distinct6
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.033898
Minimum8
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T14:31:19.887757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile12
Q115
median15
Q315
95-th percentile20
Maximum30
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.6339686
Coefficient of variation (CV)0.22664286
Kurtosis6.1154218
Mean16.033898
Median Absolute Deviation (MAD)0
Skewness1.9263905
Sum946
Variance13.205728
MonotonicityNot monotonic
2024-05-11T14:31:20.384100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
15 38
64.4%
20 11
 
18.6%
12 6
 
10.2%
30 2
 
3.4%
16 1
 
1.7%
8 1
 
1.7%
ValueCountFrequency (%)
8 1
 
1.7%
12 6
 
10.2%
15 38
64.4%
16 1
 
1.7%
20 11
 
18.6%
30 2
 
3.4%
ValueCountFrequency (%)
30 2
 
3.4%
20 11
 
18.6%
16 1
 
1.7%
15 38
64.4%
12 6
 
10.2%
8 1
 
1.7%

예비자모집인원
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5423729
Minimum0
Maximum30
Zeros38
Zeros (%)64.4%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T14:31:20.570968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile12
Maximum30
Range30
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.0032555
Coefficient of variation (CV)1.9769956
Kurtosis8.6393553
Mean3.5423729
Median Absolute Deviation (MAD)0
Skewness2.8747119
Sum209
Variance49.045587
MonotonicityNot monotonic
2024-05-11T14:31:20.749132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 38
64.4%
5 9
 
15.3%
8 4
 
6.8%
10 4
 
6.8%
30 3
 
5.1%
2 1
 
1.7%
ValueCountFrequency (%)
0 38
64.4%
2 1
 
1.7%
5 9
 
15.3%
8 4
 
6.8%
10 4
 
6.8%
30 3
 
5.1%
ValueCountFrequency (%)
30 3
 
5.1%
10 4
 
6.8%
8 4
 
6.8%
5 9
 
15.3%
2 1
 
1.7%
0 38
64.4%

수강료(원)
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)45.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean208753.9
Minimum0
Maximum1033600
Zeros7
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T14:31:20.942915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q195000
median100000
Q3298320
95-th percentile535400
Maximum1033600
Range1033600
Interquartile range (IQR)203320

Descriptive statistics

Standard deviation209233.53
Coefficient of variation (CV)1.0022976
Kurtosis4.3808554
Mean208753.9
Median Absolute Deviation (MAD)100000
Skewness1.9314878
Sum12316480
Variance4.3778671 × 1010
MonotonicityNot monotonic
2024-05-11T14:31:21.234723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
100000 17
28.8%
0 7
11.9%
90000 6
 
10.2%
298320 3
 
5.1%
60000 2
 
3.4%
800000 2
 
3.4%
432000 2
 
3.4%
230000 1
 
1.7%
108000 1
 
1.7%
240000 1
 
1.7%
Other values (17) 17
28.8%
ValueCountFrequency (%)
0 7
11.9%
60000 2
 
3.4%
90000 6
 
10.2%
100000 17
28.8%
108000 1
 
1.7%
150000 1
 
1.7%
173120 1
 
1.7%
180000 1
 
1.7%
203120 1
 
1.7%
216000 1
 
1.7%
ValueCountFrequency (%)
1033600 1
1.7%
800000 2
3.4%
506000 1
1.7%
504000 1
1.7%
476640 1
1.7%
458000 1
1.7%
432000 2
3.4%
353600 1
1.7%
347280 1
1.7%
323600 1
1.7%

접수방법(방문접수여부Y,N)
Boolean

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size191.0 B
True
41 
False
18 
ValueCountFrequency (%)
True 41
69.5%
False 18
30.5%
2024-05-11T14:31:21.431223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

접수방법(온라인접수여부Y,N)
Boolean

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size191.0 B
True
54 
False
 
5
ValueCountFrequency (%)
True 54
91.5%
False 5
 
8.5%
2024-05-11T14:31:21.595093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

상세정보 주소
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2024-05-11T14:31:22.134994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length94
Mean length94
Min length94

Characters and Unicode

Total characters5546
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

Unique59 ?
Unique (%)100.0%

Sample

1st rowhttps://jungnang.seoulwomanup.or.kr/jungnang/edu/selectEduProgram.do?sch_class_code=C100141955
2nd rowhttps://jungnang.seoulwomanup.or.kr/jungnang/edu/selectEduProgram.do?sch_class_code=C100141814
3rd rowhttps://jungnang.seoulwomanup.or.kr/jungnang/edu/selectEduProgram.do?sch_class_code=C100141812
4th rowhttps://jungnang.seoulwomanup.or.kr/jungnang/edu/selectEduProgram.do?sch_class_code=C100141810
5th rowhttps://jungnang.seoulwomanup.or.kr/jungnang/edu/selectEduProgram.do?sch_class_code=C100141809
ValueCountFrequency (%)
https://jungnang.seoulwomanup.or.kr/jungnang/edu/selecteduprogram.do?sch_class_code=c100141955 1
 
1.7%
https://jungnang.seoulwomanup.or.kr/jungnang/edu/selecteduprogram.do?sch_class_code=c100140434 1
 
1.7%
https://jungnang.seoulwomanup.or.kr/jungnang/edu/selecteduprogram.do?sch_class_code=c100136199 1
 
1.7%
https://jungnang.seoulwomanup.or.kr/jungnang/edu/selecteduprogram.do?sch_class_code=c100140696 1
 
1.7%
https://jungnang.seoulwomanup.or.kr/jungnang/edu/selecteduprogram.do?sch_class_code=c100140695 1
 
1.7%
https://jungnang.seoulwomanup.or.kr/jungnang/edu/selecteduprogram.do?sch_class_code=c100132712 1
 
1.7%
https://jungnang.seoulwomanup.or.kr/jungnang/edu/selecteduprogram.do?sch_class_code=c100141326 1
 
1.7%
https://jungnang.seoulwomanup.or.kr/jungnang/edu/selecteduprogram.do?sch_class_code=c100141951 1
 
1.7%
https://jungnang.seoulwomanup.or.kr/jungnang/edu/selecteduprogram.do?sch_class_code=c100141826 1
 
1.7%
https://jungnang.seoulwomanup.or.kr/jungnang/edu/selecteduprogram.do?sch_class_code=c100138586 1
 
1.7%
Other values (49) 49
83.1%
2024-05-11T14:31:22.841748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 413
 
7.4%
s 354
 
6.4%
u 354
 
6.4%
o 354
 
6.4%
e 295
 
5.3%
/ 295
 
5.3%
g 295
 
5.3%
a 295
 
5.3%
r 236
 
4.3%
c 236
 
4.3%
Other values (27) 2419
43.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4012
72.3%
Other Punctuation 649
 
11.7%
Decimal Number 531
 
9.6%
Uppercase Letter 177
 
3.2%
Connector Punctuation 118
 
2.1%
Math Symbol 59
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 413
10.3%
s 354
 
8.8%
u 354
 
8.8%
o 354
 
8.8%
e 295
 
7.4%
g 295
 
7.4%
a 295
 
7.4%
r 236
 
5.9%
c 236
 
5.9%
d 236
 
5.9%
Other values (8) 944
23.5%
Decimal Number
ValueCountFrequency (%)
1 170
32.0%
0 139
26.2%
4 67
 
12.6%
9 31
 
5.8%
3 28
 
5.3%
8 25
 
4.7%
7 20
 
3.8%
6 19
 
3.6%
5 16
 
3.0%
2 16
 
3.0%
Other Punctuation
ValueCountFrequency (%)
/ 295
45.5%
. 236
36.4%
? 59
 
9.1%
: 59
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
C 59
33.3%
P 59
33.3%
E 59
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 118
100.0%
Math Symbol
ValueCountFrequency (%)
= 59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4189
75.5%
Common 1357
 
24.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 413
 
9.9%
s 354
 
8.5%
u 354
 
8.5%
o 354
 
8.5%
e 295
 
7.0%
g 295
 
7.0%
a 295
 
7.0%
r 236
 
5.6%
c 236
 
5.6%
d 236
 
5.6%
Other values (11) 1121
26.8%
Common
ValueCountFrequency (%)
/ 295
21.7%
. 236
17.4%
1 170
12.5%
0 139
10.2%
_ 118
 
8.7%
4 67
 
4.9%
= 59
 
4.3%
? 59
 
4.3%
: 59
 
4.3%
9 31
 
2.3%
Other values (6) 124
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5546
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 413
 
7.4%
s 354
 
6.4%
u 354
 
6.4%
o 354
 
6.4%
e 295
 
5.3%
/ 295
 
5.3%
g 295
 
5.3%
a 295
 
5.3%
r 236
 
4.3%
c 236
 
4.3%
Other values (27) 2419
43.6%

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
0C100141955[국비교육]동기부여 프로그램25중랑여성인력개발센터N관계없음202405032024052209:0018:00202405232024052310:0013:00YYYYYY<NA>1500YYhttps://jungnang.seoulwomanup.or.kr/jungnang/edu/selectEduProgram.do?sch_class_code=C100141955
1C100141814[내일배움]제과기능사 취득(실기)25중랑여성인력개발센터C자격202404222024062009:0011:00202406192024082819:0022:00YYYYYY<NA>155458000NNhttps://jungnang.seoulwomanup.or.kr/jungnang/edu/selectEduProgram.do?sch_class_code=C100141814
2C100141812[결제용] 일식 가정요리25중랑여성인력개발센터N관계없음202404222024061409:0018:00202406132024071910:0013:00YYYYYY<NA>150203120YYhttps://jungnang.seoulwomanup.or.kr/jungnang/edu/selectEduProgram.do?sch_class_code=C100141812
3C100141810[내일배움] 일식 가정요리25중랑여성인력개발센터N관계없음202404222024061409:0018:00202406132024071910:0013:00YYYYYY<NA>150353600NNhttps://jungnang.seoulwomanup.or.kr/jungnang/edu/selectEduProgram.do?sch_class_code=C100141810
4C100141809[결제용] 한식 반찬조리실무 B25중랑여성인력개발센터N관계없음202404222024060409:0018:00202406032024062610:0013:00YYYYYY<NA>158173120YYhttps://jungnang.seoulwomanup.or.kr/jungnang/edu/selectEduProgram.do?sch_class_code=C100141809
5C100141818[결제용]제과기능사 취득(실기)25중랑여성인력개발센터C자격202404222024062009:0011:00202406192024082819:0022:00YYYYYY<NA>155233600YYhttps://jungnang.seoulwomanup.or.kr/jungnang/edu/selectEduProgram.do?sch_class_code=C100141818
6C100140989[내일배움] 한식 반찬조리실무 B25중랑여성인력개발센터N관계없음202404192024060409:0018:00202406032024062610:0013:00YYYYYYY158323600NNhttps://jungnang.seoulwomanup.or.kr/jungnang/edu/selectEduProgram.do?sch_class_code=C100140989
7C100141795커피 바리스타 자격증 /야간반25중랑여성인력개발센터N관계없음202404192024052709:0012:00202405202024070819:0021:00YYYYYY<NA>160100000YYhttps://jungnang.seoulwomanup.or.kr/jungnang/edu/selectEduProgram.do?sch_class_code=C100141795
8C100141472[내일배움]오후반/요양보호사 자격증양성(신규)25중랑여성인력개발센터J초급202404012024052009:0012:00202405202024080914:0019:00YYYYYY<NA>300800000YYhttps://jungnang.seoulwomanup.or.kr/jungnang/edu/selectEduProgram.do?sch_class_code=C100141472
9C100141542[결제용] 한식조리기능사 취득(실기)25중랑여성인력개발센터N관계없음202404012024061509:0022:00202406082024081010:0016:30YYYYYY<NA>158255200YYhttps://jungnang.seoulwomanup.or.kr/jungnang/edu/selectEduProgram.do?sch_class_code=C100141542
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
49C100141796미용헤어컷(여성&남성바리깡)교실/야간25중랑여성인력개발센터J초급202311062024062409:0012:00202406172024072919:0022:00YYYYYY<NA>15090000YYhttps://jungnang.seoulwomanup.or.kr/jungnang/edu/selectEduProgram.do?sch_class_code=C100141796
50C100140391[내일배움/주말속성]엑셀 실무(엑셀기초+ITQ엑셀 자격증취득)★개강확정★25중랑여성인력개발센터N관계없음202311012024051809:0012:00202405182024072009:3013:30YYYYYYY150240000YYhttps://jungnang.seoulwomanup.or.kr/jungnang/edu/selectEduProgram.do?sch_class_code=C100140391
51C100141143[내일배움]ITQ자격증취득(한글,엑셀,파포)주간반25중랑여성인력개발센터C자격202311012024052409:0012:00202405232024082014:0017:00YYYYYY<NA>155432000NYhttps://jungnang.seoulwomanup.or.kr/jungnang/edu/selectEduProgram.do?sch_class_code=C100141143
52C100141956[결제용/주말속성]엑셀 실무(엑셀기초+ITQ엑셀 자격증취득)25중랑여성인력개발센터N관계없음202311012024051809:0012:00202405182024072009:3013:30YYYYYY<NA>150108000YYhttps://jungnang.seoulwomanup.or.kr/jungnang/edu/selectEduProgram.do?sch_class_code=C100141956
53C100137469[신규개설]집을 배우다. 홈런(Home Learn)25중랑여성인력개발센터N관계없음202309042024061809:0012:00202406112024070914:0017:00YYYYYYY1510100000YYhttps://jungnang.seoulwomanup.or.kr/jungnang/edu/selectEduProgram.do?sch_class_code=C100137469
54C100139130나를 세우는 글쓰기25중랑여성인력개발센터N관계없음202308082024062409:0012:00202406172024072214:0016:00YYYYYYY121060000YYhttps://jungnang.seoulwomanup.or.kr/jungnang/edu/selectEduProgram.do?sch_class_code=C100139130
55C100141506건강체육지도사-야간25중랑여성인력개발센터N관계없음202308072024052809:0018:00202405212024061819:0022:00YYYYYY<NA>120100000YYhttps://jungnang.seoulwomanup.or.kr/jungnang/edu/selectEduProgram.do?sch_class_code=C100141506
56C100141686민화 그리기(수채화)25중랑여성인력개발센터N관계없음202307212024052709:0012:00202405202024061014:0017:00YYYYYY<NA>80100000YYhttps://jungnang.seoulwomanup.or.kr/jungnang/edu/selectEduProgram.do?sch_class_code=C100141686
57C100141473[내일배움]야간/요양보호사 자격증취득(간호조무사반)25중랑여성인력개발센터J초급202302132024052209:0013:00202405222024061519:1022:00YYYYYY<NA>200230000YYhttps://jungnang.seoulwomanup.or.kr/jungnang/edu/selectEduProgram.do?sch_class_code=C100141473
58C100141498쉽게 배워서 바로 쓰는 한글문서작성25중랑여성인력개발센터J초급202301032024052809:0012:00202405212024061114:0017:00YYYYYY<NA>15090000NYhttps://jungnang.seoulwomanup.or.kr/jungnang/edu/selectEduProgram.do?sch_class_code=C100141498