Overview

Dataset statistics

Number of variables27
Number of observations28
Missing cells5
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory228.7 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-2214/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
교육요일(일) has 5 (17.9%) missing valuesMissing
강좌코드 has unique valuesUnique
상세정보 주소 has unique valuesUnique
예비자모집인원 has 19 (67.9%) zerosZeros
수강료(원) has 7 (25.0%) zerosZeros

Reproduction

Analysis started2024-05-11 03:36:29.072446
Analysis finished2024-05-11 03:36:29.687002
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

강좌코드
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-05-11T03:36:29.943745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters280
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

Unique28 ?
Unique (%)100.0%

Sample

1st rowC100139735
2nd rowC100141776
3rd rowC100141672
4th rowC100140545
5th rowC100140543
ValueCountFrequency (%)
c100139735 1
 
3.6%
c100141776 1
 
3.6%
c100139132 1
 
3.6%
c100139119 1
 
3.6%
c100141383 1
 
3.6%
c100141382 1
 
3.6%
c100141381 1
 
3.6%
c100139759 1
 
3.6%
c100139121 1
 
3.6%
c100140970 1
 
3.6%
Other values (18) 18
64.3%
2024-05-11T03:36:30.846188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 78
27.9%
1 71
25.4%
4 33
11.8%
C 28
 
10.0%
5 17
 
6.1%
3 16
 
5.7%
9 12
 
4.3%
7 9
 
3.2%
2 6
 
2.1%
6 5
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 252
90.0%
Uppercase Letter 28
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 78
31.0%
1 71
28.2%
4 33
13.1%
5 17
 
6.7%
3 16
 
6.3%
9 12
 
4.8%
7 9
 
3.6%
2 6
 
2.4%
6 5
 
2.0%
8 5
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
C 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
90.0%
Latin 28
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 78
31.0%
1 71
28.2%
4 33
13.1%
5 17
 
6.7%
3 16
 
6.3%
9 12
 
4.8%
7 9
 
3.6%
2 6
 
2.4%
6 5
 
2.0%
8 5
 
2.0%
Latin
ValueCountFrequency (%)
C 28
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 280
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 78
27.9%
1 71
25.4%
4 33
11.8%
C 28
 
10.0%
5 17
 
6.1%
3 16
 
5.7%
9 12
 
4.3%
7 9
 
3.2%
2 6
 
2.1%
6 5
 
1.8%

강좌명
Text

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-05-11T03:36:31.440571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length25.75
Min length14

Characters and Unicode

Total characters721
Distinct characters188
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

Unique25 ?
Unique (%)89.3%

Sample

1st rowE-book 퍼블리싱 창업과정
2nd row5월 요양실버시터 양성과정
3rd row(심화)현대로맨스 웹소설 작가로 데뷔하기(5주)(5/22~6/19)
4th row토요SNPE바른체형 교정운동 2
5th row금요 SNPE바른체형 교정운동
ValueCountFrequency (%)
교정운동 6
 
6.7%
snpe바른체형 4
 
4.5%
취업준비]집단상담프로그램 3
 
3.4%
토요snpe바른체형 2
 
2.2%
d 1
 
1.1%
5/21~6/18 1
 
1.1%
플라워2(5주 1
 
1.1%
유러피안 1
 
1.1%
1 1
 
1.1%
5/16~6/20 1
 
1.1%
Other values (68) 68
76.4%
2024-05-11T03:36:32.858963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
61
 
8.5%
( 28
 
3.9%
) 27
 
3.7%
/ 26
 
3.6%
2 22
 
3.1%
5 18
 
2.5%
1 15
 
2.1%
6 15
 
2.1%
~ 13
 
1.8%
정 13
 
1.8%
Other values (178) 483
67.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 399
55.3%
Decimal Number 97
 
13.5%
Space Separator 61
 
8.5%
Other Punctuation 40
 
5.5%
Open Punctuation 37
 
5.1%
Close Punctuation 36
 
5.0%
Uppercase Letter 33
 
4.6%
Math Symbol 13
 
1.8%
Lowercase Letter 4
 
0.6%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 13
 
3.3%
주 11
 
2.8%
업 10
 
2.5%
교 9
 
2.3%
리 9
 
2.3%
로 9
 
2.3%
취 8
 
2.0%
일 8
 
2.0%
운 7
 
1.8%
요 7
 
1.8%
Other values (145) 308
77.2%
Decimal Number
ValueCountFrequency (%)
2 22
22.7%
5 18
18.6%
1 15
15.5%
6 15
15.5%
3 7
 
7.2%
4 5
 
5.2%
0 5
 
5.2%
8 4
 
4.1%
7 4
 
4.1%
9 2
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
S 7
21.2%
N 7
21.2%
E 7
21.2%
P 6
18.2%
A 2
 
6.1%
D 1
 
3.0%
C 1
 
3.0%
B 1
 
3.0%
O 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
/ 26
65.0%
: 10
 
25.0%
& 2
 
5.0%
, 2
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
o 2
50.0%
k 1
25.0%
b 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 28
75.7%
[ 9
 
24.3%
Close Punctuation
ValueCountFrequency (%)
) 27
75.0%
] 9
 
25.0%
Space Separator
ValueCountFrequency (%)
61
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 399
55.3%
Common 285
39.5%
Latin 37
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 13
 
3.3%
주 11
 
2.8%
업 10
 
2.5%
교 9
 
2.3%
리 9
 
2.3%
로 9
 
2.3%
취 8
 
2.0%
일 8
 
2.0%
운 7
 
1.8%
요 7
 
1.8%
Other values (145) 308
77.2%
Common
ValueCountFrequency (%)
61
21.4%
( 28
9.8%
) 27
9.5%
/ 26
9.1%
2 22
 
7.7%
5 18
 
6.3%
1 15
 
5.3%
6 15
 
5.3%
~ 13
 
4.6%
: 10
 
3.5%
Other values (11) 50
17.5%
Latin
ValueCountFrequency (%)
S 7
18.9%
N 7
18.9%
E 7
18.9%
P 6
16.2%
o 2
 
5.4%
A 2
 
5.4%
D 1
 
2.7%
C 1
 
2.7%
k 1
 
2.7%
B 1
 
2.7%
Other values (2) 2
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 399
55.3%
ASCII 322
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
61
18.9%
( 28
 
8.7%
) 27
 
8.4%
/ 26
 
8.1%
2 22
 
6.8%
5 18
 
5.6%
1 15
 
4.7%
6 15
 
4.7%
~ 13
 
4.0%
: 10
 
3.1%
Other values (23) 87
27.0%
Hangul
ValueCountFrequency (%)
정 13
 
3.3%
주 11
 
2.8%
업 10
 
2.5%
교 9
 
2.3%
리 9
 
2.3%
로 9
 
2.3%
취 8
 
2.0%
일 8
 
2.0%
운 7
 
1.8%
요 7
 
1.8%
Other values (145) 308
77.2%

기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
2
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 28
100.0%

Length

2024-05-11T03:36:33.357814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:36:33.628316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 28
100.0%

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
중부여성발전센터
28 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중부여성발전센터 28
100.0%

Length

2024-05-11T03:36:34.071215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:36:34.412102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중부여성발전센터 28
100.0%

난이도코드
Categorical

Distinct4
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
N
18 
J
5 
M
3 
T
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
N 18
64.3%
J 5
 
17.9%
M 3
 
10.7%
T 2
 
7.1%

Length

2024-05-11T03:36:34.790259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:36:35.310190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 18
64.3%
j 5
 
17.9%
m 3
 
10.7%
t 2
 
7.1%

난이도명
Categorical

Distinct4
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
관계없음
18 
초급
5 
중급
3 
통합
2 

Length

Max length4
Median length4
Mean length3.2857143
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관계없음 18
64.3%
초급 5
 
17.9%
중급 3
 
10.7%
통합 2
 
7.1%

Length

2024-05-11T03:36:35.920980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:36:36.418394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관계없음 18
64.3%
초급 5
 
17.9%
중급 3
 
10.7%
통합 2
 
7.1%

수강신청 접수시작일
Real number (ℝ)

Distinct8
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240285
Minimum20240103
Maximum20240424
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-11T03:36:36.919716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240103
5-th percentile20240103
Q120240281
median20240312
Q320240312
95-th percentile20240417
Maximum20240424
Range321
Interquartile range (IQR)31

Descriptive statistics

Standard deviation83.935436
Coefficient of variation (CV)4.1469493 × 10-6
Kurtosis0.77775865
Mean20240285
Median Absolute Deviation (MAD)0
Skewness-0.85307946
Sum5.6672799 × 108
Variance7045.1574
MonotonicityDecreasing
2024-05-11T03:36:37.305435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20240312 16
57.1%
20240202 3
 
10.7%
20240103 3
 
10.7%
20240301 2
 
7.1%
20240424 1
 
3.6%
20240418 1
 
3.6%
20240415 1
 
3.6%
20240221 1
 
3.6%
ValueCountFrequency (%)
20240103 3
 
10.7%
20240202 3
 
10.7%
20240221 1
 
3.6%
20240301 2
 
7.1%
20240312 16
57.1%
20240415 1
 
3.6%
20240418 1
 
3.6%
20240424 1
 
3.6%
ValueCountFrequency (%)
20240424 1
 
3.6%
20240418 1
 
3.6%
20240415 1
 
3.6%
20240312 16
57.1%
20240301 2
 
7.1%
20240221 1
 
3.6%
20240202 3
 
10.7%
20240103 3
 
10.7%

수강신청 접수종료일
Real number (ℝ)

Distinct21
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240586
Minimum20240513
Maximum20241101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-11T03:36:37.748794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240513
5-th percentile20240513
Q120240516
median20240526
Q320240604
95-th percentile20240722
Maximum20241101
Range588
Interquartile range (IQR)88.25

Descriptive statistics

Standard deviation123.15474
Coefficient of variation (CV)6.0845442 × 10-6
Kurtosis11.087044
Mean20240586
Median Absolute Deviation (MAD)13
Skewness2.9866096
Sum5.667364 × 108
Variance15167.09
MonotonicityNot monotonic
2024-05-11T03:36:38.289300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20240513 4
 
14.3%
20240518 2
 
7.1%
20240601 2
 
7.1%
20240514 2
 
7.1%
20240516 2
 
7.1%
20240705 1
 
3.6%
20240707 1
 
3.6%
20241101 1
 
3.6%
20240726 1
 
3.6%
20240523 1
 
3.6%
Other values (11) 11
39.3%
ValueCountFrequency (%)
20240513 4
14.3%
20240514 2
7.1%
20240516 2
7.1%
20240517 1
 
3.6%
20240518 2
7.1%
20240522 1
 
3.6%
20240523 1
 
3.6%
20240525 1
 
3.6%
20240527 1
 
3.6%
20240528 1
 
3.6%
ValueCountFrequency (%)
20241101 1
3.6%
20240726 1
3.6%
20240714 1
3.6%
20240707 1
3.6%
20240705 1
3.6%
20240617 1
3.6%
20240605 1
3.6%
20240604 1
3.6%
20240602 1
3.6%
20240601 2
7.1%

수강신청 접수시작시간
Date

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2024-05-11 09:00:00
Maximum2024-05-11 09:30:00
2024-05-11T03:36:38.826696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:36:39.361760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

수강신청 접수마감시간
Categorical

Distinct9
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
17:00
9 
18:00
8 
10:00
3 
10:30
2 
09:00
2 
Other values (4)
4 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique4 ?
Unique (%)14.3%

Sample

1st row19:00
2nd row24:00
3rd row10:00
4th row10:30
5th row10:00

Common Values

ValueCountFrequency (%)
17:00 9
32.1%
18:00 8
28.6%
10:00 3
 
10.7%
10:30 2
 
7.1%
09:00 2
 
7.1%
19:00 1
 
3.6%
24:00 1
 
3.6%
14:00 1
 
3.6%
09:30 1
 
3.6%

Length

2024-05-11T03:36:39.978231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:36:40.349829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
17:00 9
32.1%
18:00 8
28.6%
10:00 3
 
10.7%
10:30 2
 
7.1%
09:00 2
 
7.1%
19:00 1
 
3.6%
24:00 1
 
3.6%
14:00 1
 
3.6%
09:30 1
 
3.6%

교육시작일
Real number (ℝ)

Distinct23
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240560
Minimum20240415
Maximum20241026
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-11T03:36:40.969670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240415
5-th percentile20240415
Q120240512
median20240525
Q320240608
95-th percentile20240721
Maximum20241026
Range611
Interquartile range (IQR)97

Descriptive statistics

Standard deviation131.65485
Coefficient of variation (CV)6.5045061 × 10-6
Kurtosis4.6568355
Mean20240560
Median Absolute Deviation (MAD)80.5
Skewness1.7279912
Sum5.6673568 × 108
Variance17332.999
MonotonicityNot monotonic
2024-05-11T03:36:41.489876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
20240420 2
 
7.1%
20240415 2
 
7.1%
20240513 2
 
7.1%
20240525 2
 
7.1%
20240527 2
 
7.1%
20240708 1
 
3.6%
20240603 1
 
3.6%
20240608 1
 
3.6%
20241026 1
 
3.6%
20240720 1
 
3.6%
Other values (13) 13
46.4%
ValueCountFrequency (%)
20240415 2
7.1%
20240416 1
3.6%
20240419 1
3.6%
20240420 2
7.1%
20240507 1
3.6%
20240513 2
7.1%
20240516 1
3.6%
20240520 1
3.6%
20240521 1
3.6%
20240522 1
3.6%
ValueCountFrequency (%)
20241026 1
3.6%
20240722 1
3.6%
20240720 1
3.6%
20240715 1
3.6%
20240708 1
3.6%
20240619 1
3.6%
20240610 1
3.6%
20240608 1
3.6%
20240603 1
3.6%
20240601 1
3.6%

교육종료일
Real number (ℝ)

Distinct20
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240680
Minimum20240527
Maximum20241130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-11T03:36:41.976402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240527
5-th percentile20240558
Q120240622
median20240626
Q320240651
95-th percentile20240925
Maximum20241130
Range603
Interquartile range (IQR)28.25

Descriptive statistics

Standard deviation137.2393
Coefficient of variation (CV)6.7803697 × 10-6
Kurtosis3.4747709
Mean20240680
Median Absolute Deviation (MAD)4.5
Skewness1.9219292
Sum5.6673905 × 108
Variance18834.624
MonotonicityNot monotonic
2024-05-11T03:36:42.829855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20240628 5
17.9%
20240624 3
 
10.7%
20240623 2
 
7.1%
20240609 2
 
7.1%
20240910 1
 
3.6%
20240920 1
 
3.6%
20240713 1
 
3.6%
20241130 1
 
3.6%
20240928 1
 
3.6%
20240531 1
 
3.6%
Other values (10) 10
35.7%
ValueCountFrequency (%)
20240527 1
 
3.6%
20240531 1
 
3.6%
20240609 2
7.1%
20240612 1
 
3.6%
20240617 1
 
3.6%
20240621 1
 
3.6%
20240623 2
7.1%
20240624 3
10.7%
20240625 1
 
3.6%
20240626 1
 
3.6%
ValueCountFrequency (%)
20241130 1
 
3.6%
20240928 1
 
3.6%
20240920 1
 
3.6%
20240910 1
 
3.6%
20240828 1
 
3.6%
20240731 1
 
3.6%
20240713 1
 
3.6%
20240630 1
 
3.6%
20240628 5
17.9%
20240627 1
 
3.6%

교육시작시간
Date

Distinct8
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2024-05-11 09:00:00
Maximum2024-05-11 19:00:00
2024-05-11T03:36:43.332360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:36:43.754827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

교육종료시간
Date

Distinct10
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2024-05-11 10:30:00
Maximum2024-05-11 22:00:00
2024-05-11T03:36:44.147419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:36:44.527424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

교육요일(월)
Boolean

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size160.0 B
True
28 
ValueCountFrequency (%)
True 28
100.0%
2024-05-11T03:36:44.908011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(화)
Boolean

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size160.0 B
True
28 
ValueCountFrequency (%)
True 28
100.0%
2024-05-11T03:36:45.270480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(수)
Boolean

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size160.0 B
True
28 
ValueCountFrequency (%)
True 28
100.0%
2024-05-11T03:36:45.547367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(목)
Boolean

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size160.0 B
True
28 
ValueCountFrequency (%)
True 28
100.0%
2024-05-11T03:36:45.800594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(금)
Boolean

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size160.0 B
True
28 
ValueCountFrequency (%)
True 28
100.0%
2024-05-11T03:36:46.137680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(토)
Boolean

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size160.0 B
True
28 
ValueCountFrequency (%)
True 28
100.0%
2024-05-11T03:36:46.400167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(일)
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)4.3%
Missing5
Missing (%)17.9%
Memory size188.0 B
True
23 
(Missing)
5 
ValueCountFrequency (%)
True 23
82.1%
(Missing) 5
 
17.9%
2024-05-11T03:36:46.645330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

모집정원
Real number (ℝ)

Distinct9
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.107143
Minimum12
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-11T03:36:47.018903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile16.05
Q120
median20
Q325
95-th percentile43
Maximum100
Range88
Interquartile range (IQR)5

Descriptive statistics

Standard deviation16.037778
Coefficient of variation (CV)0.63877351
Kurtosis18.942787
Mean25.107143
Median Absolute Deviation (MAD)1
Skewness4.1587091
Sum703
Variance257.21032
MonotonicityNot monotonic
2024-05-11T03:36:47.497386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20 14
50.0%
25 6
21.4%
24 2
 
7.1%
30 1
 
3.6%
12 1
 
3.6%
15 1
 
3.6%
18 1
 
3.6%
50 1
 
3.6%
100 1
 
3.6%
ValueCountFrequency (%)
12 1
 
3.6%
15 1
 
3.6%
18 1
 
3.6%
20 14
50.0%
24 2
 
7.1%
25 6
21.4%
30 1
 
3.6%
50 1
 
3.6%
100 1
 
3.6%
ValueCountFrequency (%)
100 1
 
3.6%
50 1
 
3.6%
30 1
 
3.6%
25 6
21.4%
24 2
 
7.1%
20 14
50.0%
18 1
 
3.6%
15 1
 
3.6%
12 1
 
3.6%

예비자모집인원
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4642857
Minimum0
Maximum100
Zeros19
Zeros (%)67.9%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-11T03:36:47.895816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.5
95-th percentile16.5
Maximum100
Range100
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation19.015553
Coefficient of variation (CV)3.4799706
Kurtosis24.920977
Mean5.4642857
Median Absolute Deviation (MAD)0
Skewness4.9008389
Sum153
Variance361.59127
MonotonicityNot monotonic
2024-05-11T03:36:48.506172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 19
67.9%
5 3
 
10.7%
2 2
 
7.1%
20 1
 
3.6%
4 1
 
3.6%
10 1
 
3.6%
100 1
 
3.6%
ValueCountFrequency (%)
0 19
67.9%
2 2
 
7.1%
4 1
 
3.6%
5 3
 
10.7%
10 1
 
3.6%
20 1
 
3.6%
100 1
 
3.6%
ValueCountFrequency (%)
100 1
 
3.6%
20 1
 
3.6%
10 1
 
3.6%
5 3
 
10.7%
4 1
 
3.6%
2 2
 
7.1%
0 19
67.9%

수강료(원)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)39.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126878.57
Minimum0
Maximum1085280
Zeros7
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-11T03:36:48.947065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q141250
median77500
Q395000
95-th percentile467114
Maximum1085280
Range1085280
Interquartile range (IQR)53750

Descriptive statistics

Standard deviation220799.2
Coefficient of variation (CV)1.7402402
Kurtosis13.869306
Mean126878.57
Median Absolute Deviation (MAD)27500
Skewness3.5465848
Sum3552600
Variance4.8752285 × 1010
MonotonicityNot monotonic
2024-05-11T03:36:49.412389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 7
25.0%
80000 4
14.3%
55000 3
10.7%
110000 3
10.7%
90000 2
 
7.1%
60000 2
 
7.1%
75000 2
 
7.1%
275520 2
 
7.1%
81000 1
 
3.6%
1085280 1
 
3.6%
ValueCountFrequency (%)
0 7
25.0%
55000 3
10.7%
60000 2
 
7.1%
75000 2
 
7.1%
80000 4
14.3%
81000 1
 
3.6%
90000 2
 
7.1%
110000 3
10.7%
275520 2
 
7.1%
570280 1
 
3.6%
ValueCountFrequency (%)
1085280 1
 
3.6%
570280 1
 
3.6%
275520 2
7.1%
110000 3
10.7%
90000 2
7.1%
81000 1
 
3.6%
80000 4
14.3%
75000 2
7.1%
60000 2
7.1%
55000 3
10.7%

접수방법(방문접수여부Y,N)
Boolean

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size160.0 B
False
21 
True
7 
ValueCountFrequency (%)
False 21
75.0%
True 7
 
25.0%
2024-05-11T03:36:49.892320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

접수방법(온라인접수여부Y,N)
Boolean

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size160.0 B
True
28 
ValueCountFrequency (%)
True 28
100.0%
2024-05-11T03:36:50.325092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

상세정보 주소
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-05-11T03:36:51.305696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length90
Mean length90
Min length90

Characters and Unicode

Total characters2520
Distinct characters38
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

Unique28 ?
Unique (%)100.0%

Sample

1st rowhttps://jungbu.seoulwomanup.or.kr/jungbu/edu/selectEduProgram.do?sch_class_code=C100139735
2nd rowhttps://jungbu.seoulwomanup.or.kr/jungbu/edu/selectEduProgram.do?sch_class_code=C100141776
3rd rowhttps://jungbu.seoulwomanup.or.kr/jungbu/edu/selectEduProgram.do?sch_class_code=C100141672
4th rowhttps://jungbu.seoulwomanup.or.kr/jungbu/edu/selectEduProgram.do?sch_class_code=C100140545
5th rowhttps://jungbu.seoulwomanup.or.kr/jungbu/edu/selectEduProgram.do?sch_class_code=C100140543
ValueCountFrequency (%)
https://jungbu.seoulwomanup.or.kr/jungbu/edu/selecteduprogram.do?sch_class_code=c100139735 1
 
3.6%
https://jungbu.seoulwomanup.or.kr/jungbu/edu/selecteduprogram.do?sch_class_code=c100141776 1
 
3.6%
https://jungbu.seoulwomanup.or.kr/jungbu/edu/selecteduprogram.do?sch_class_code=c100139132 1
 
3.6%
https://jungbu.seoulwomanup.or.kr/jungbu/edu/selecteduprogram.do?sch_class_code=c100139119 1
 
3.6%
https://jungbu.seoulwomanup.or.kr/jungbu/edu/selecteduprogram.do?sch_class_code=c100141383 1
 
3.6%
https://jungbu.seoulwomanup.or.kr/jungbu/edu/selecteduprogram.do?sch_class_code=c100141382 1
 
3.6%
https://jungbu.seoulwomanup.or.kr/jungbu/edu/selecteduprogram.do?sch_class_code=c100141381 1
 
3.6%
https://jungbu.seoulwomanup.or.kr/jungbu/edu/selecteduprogram.do?sch_class_code=c100139759 1
 
3.6%
https://jungbu.seoulwomanup.or.kr/jungbu/edu/selecteduprogram.do?sch_class_code=c100139121 1
 
3.6%
https://jungbu.seoulwomanup.or.kr/jungbu/edu/selecteduprogram.do?sch_class_code=c100140970 1
 
3.6%
Other values (18) 18
64.3%
2024-05-11T03:36:52.880005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
u 224
 
8.9%
s 168
 
6.7%
o 168
 
6.7%
e 140
 
5.6%
/ 140
 
5.6%
c 112
 
4.4%
d 112
 
4.4%
. 112
 
4.4%
r 112
 
4.4%
a 84
 
3.3%
Other values (28) 1148
45.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1792
71.1%
Other Punctuation 308
 
12.2%
Decimal Number 252
 
10.0%
Uppercase Letter 84
 
3.3%
Connector Punctuation 56
 
2.2%
Math Symbol 28
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
u 224
12.5%
s 168
 
9.4%
o 168
 
9.4%
e 140
 
7.8%
c 112
 
6.2%
d 112
 
6.2%
r 112
 
6.2%
a 84
 
4.7%
n 84
 
4.7%
g 84
 
4.7%
Other values (9) 504
28.1%
Decimal Number
ValueCountFrequency (%)
0 78
31.0%
1 71
28.2%
4 33
13.1%
5 17
 
6.7%
3 16
 
6.3%
9 12
 
4.8%
7 9
 
3.6%
2 6
 
2.4%
6 5
 
2.0%
8 5
 
2.0%
Other Punctuation
ValueCountFrequency (%)
/ 140
45.5%
. 112
36.4%
? 28
 
9.1%
: 28
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
C 28
33.3%
P 28
33.3%
E 28
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 56
100.0%
Math Symbol
ValueCountFrequency (%)
= 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1876
74.4%
Common 644
 
25.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
u 224
 
11.9%
s 168
 
9.0%
o 168
 
9.0%
e 140
 
7.5%
c 112
 
6.0%
d 112
 
6.0%
r 112
 
6.0%
a 84
 
4.5%
n 84
 
4.5%
g 84
 
4.5%
Other values (12) 588
31.3%
Common
ValueCountFrequency (%)
/ 140
21.7%
. 112
17.4%
0 78
12.1%
1 71
11.0%
_ 56
 
8.7%
4 33
 
5.1%
= 28
 
4.3%
? 28
 
4.3%
: 28
 
4.3%
5 17
 
2.6%
Other values (6) 53
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
u 224
 
8.9%
s 168
 
6.7%
o 168
 
6.7%
e 140
 
5.6%
/ 140
 
5.6%
c 112
 
4.4%
d 112
 
4.4%
. 112
 
4.4%
r 112
 
4.4%
a 84
 
3.3%
Other values (28) 1148
45.6%

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
0C100139735E-book 퍼블리싱 창업과정2중부여성발전센터M중급202404242024070509:0019:00202407082024091014:0018:00YYYYYYY20200YYhttps://jungbu.seoulwomanup.or.kr/jungbu/edu/selectEduProgram.do?sch_class_code=C100139735
1C1001417765월 요양실버시터 양성과정2중부여성발전센터N관계없음202404182024051609:0024:00202405202024052709:3013:30YYYYYY<NA>3000YYhttps://jungbu.seoulwomanup.or.kr/jungbu/edu/selectEduProgram.do?sch_class_code=C100141776
2C100141672(심화)현대로맨스 웹소설 작가로 데뷔하기(5주)(5/22~6/19)2중부여성발전센터M중급202404152024052209:0010:00202405222024062510:0013:00YYYYYY<NA>12090000NYhttps://jungbu.seoulwomanup.or.kr/jungbu/edu/selectEduProgram.do?sch_class_code=C100141672
3C100140545토요SNPE바른체형 교정운동 22중부여성발전센터N관계없음202403122024051809:0010:30202404202024062810:3012:00YYYYYYY25055000NYhttps://jungbu.seoulwomanup.or.kr/jungbu/edu/selectEduProgram.do?sch_class_code=C100140545
4C100140543금요 SNPE바른체형 교정운동2중부여성발전센터N관계없음202403122024051709:0010:00202404192024062710:0011:30YYYYYYY25055000NYhttps://jungbu.seoulwomanup.or.kr/jungbu/edu/selectEduProgram.do?sch_class_code=C100140543
5C100140539SNPE바른체형 교정운동 A2중부여성발전센터N관계없음202403122024051309:0009:00202404152024062309:0010:30YYYYYYY250110000NYhttps://jungbu.seoulwomanup.or.kr/jungbu/edu/selectEduProgram.do?sch_class_code=C100140539
6C100140523반영구 스킨아트(페이스 메이크업: 심화반:4주)2중부여성발전센터N관계없음202403122024060109:0017:00202406012024062814:0017:00YYYYYYY20480000NYhttps://jungbu.seoulwomanup.or.kr/jungbu/edu/selectEduProgram.do?sch_class_code=C100140523
7C100140515편집자의 눈으로 글 다듬는 법: 교정교열 기본편(4주: 5/13~6/3)2중부여성발전센터T통합202403122024051309:0010:00202405132024060910:0013:00YYYYYYY20080000NYhttps://jungbu.seoulwomanup.or.kr/jungbu/edu/selectEduProgram.do?sch_class_code=C100140515
8C1001405141인 출판사 창업 및 운영관리(시작편)(4주:5/13~6/3)2중부여성발전센터T통합202403122024051309:0014:00202405132024060914:0017:00YYYYYYY20280000NYhttps://jungbu.seoulwomanup.or.kr/jungbu/edu/selectEduProgram.do?sch_class_code=C100140514
9C100140510회사에서 바로 통하는 엑셀실무(5주) (5/25~6/22)2중부여성발전센터J초급202403122024053109:0017:00202405252024062809:3013:00YYYYYYY20080000NYhttps://jungbu.seoulwomanup.or.kr/jungbu/edu/selectEduProgram.do?sch_class_code=C100140510
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
18C100140542SNPE바른체형 교정운동 D2중부여성발전센터N관계없음202403122024051409:0017:00202404162024062419:0020:30YYYYYYY250110000NYhttps://jungbu.seoulwomanup.or.kr/jungbu/edu/selectEduProgram.do?sch_class_code=C100140542
19C100140970[내일배움카드]NCS직업상담사2급 취득반(3회차)2중부여성발전센터N관계없음202403012024060209:3018:00202406032024073109:3013:30YYYYYYY2001085280YYhttps://jungbu.seoulwomanup.or.kr/jungbu/edu/selectEduProgram.do?sch_class_code=C100140970
20C100139121[한국중부발전]웹소설 크리에이팅 취업 과정2중부여성발전센터N관계없음202403012024070709:0018:00202407152024082814:0017:00YYYYYYY50100YYhttps://jungbu.seoulwomanup.or.kr/jungbu/edu/selectEduProgram.do?sch_class_code=C100139121
21C100139759[서울시지원무료교육]웹툰 포스트 프로덕션 제작 과정(선화,채색,배경)2중부여성발전센터N관계없음202402212024071409:0018:00202407222024092013:3017:30YYYYYYY1001000NYhttps://jungbu.seoulwomanup.or.kr/jungbu/edu/selectEduProgram.do?sch_class_code=C100139759
22C100141381[취업준비]집단상담프로그램2중부여성발전센터N관계없음202402022024061709:0018:00202406192024062109:3013:30YYYYYY<NA>2000NYhttps://jungbu.seoulwomanup.or.kr/jungbu/edu/selectEduProgram.do?sch_class_code=C100141381
23C100141382[취업준비]집단상담프로그램2중부여성발전센터N관계없음202402022024060509:0018:00202406102024061209:3013:30YYYYYY<NA>2000NYhttps://jungbu.seoulwomanup.or.kr/jungbu/edu/selectEduProgram.do?sch_class_code=C100141382
24C100141383[취업준비]집단상담프로그램2중부여성발전센터N관계없음202402022024052309:0018:00202405272024053109:3013:30YYYYYY<NA>2000NYhttps://jungbu.seoulwomanup.or.kr/jungbu/edu/selectEduProgram.do?sch_class_code=C100141383
25C100139119[내일배움카드]전산회계1급 자격증 취득 (토요일:7/20~9/28)2중부여성발전센터M중급202401032024072609:0018:00202407202024092809:0017:30YYYYYYY205570280YYhttps://jungbu.seoulwomanup.or.kr/jungbu/edu/selectEduProgram.do?sch_class_code=C100139119
26C100139132[내일배움카드]기초경리(전산회계2급)취득과정(토요일:10/26~11/302중부여성발전센터J초급202401032024110109:0018:00202410262024113010:0017:30YYYYYYY205275520YYhttps://jungbu.seoulwomanup.or.kr/jungbu/edu/selectEduProgram.do?sch_class_code=C100139132
27C100139134[내일배움카드]기초경리(전산회계2급)취득과정(토요일:6/8~7/13)2중부여성발전센터J초급202401032024060109:0009:30202406082024071309:3017:00YYYYYYY205275520YYhttps://jungbu.seoulwomanup.or.kr/jungbu/edu/selectEduProgram.do?sch_class_code=C100139134