Overview

Dataset statistics

Number of variables27
Number of observations44
Missing cells21
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.8 KiB
Average record size in memory227.0 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-2283/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) has constant value ""Constant
접수방법(방문접수여부Y,N) is highly imbalanced (84.4%)Imbalance
교육요일(일) has 21 (47.7%) missing valuesMissing
강좌코드 has unique valuesUnique
상세정보 주소 has unique valuesUnique
예비자모집인원 has 4 (9.1%) zerosZeros
수강료(원) has 4 (9.1%) zerosZeros

Reproduction

Analysis started2024-05-11 04:37:49.808431
Analysis finished2024-05-11 04:37:50.778779
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

강좌코드
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-05-11T04:37:51.239305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters440
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

Unique44 ?
Unique (%)100.0%

Sample

1st rowC100142115
2nd rowC100142124
3rd rowC100141834
4th rowC100141870
5th rowC100140337
ValueCountFrequency (%)
c100142115 1
 
2.3%
c100142124 1
 
2.3%
c100139546 1
 
2.3%
c100141759 1
 
2.3%
c100141961 1
 
2.3%
c100141581 1
 
2.3%
c100141582 1
 
2.3%
c100141569 1
 
2.3%
c100140739 1
 
2.3%
c100140735 1
 
2.3%
Other values (34) 34
77.3%
2024-05-11T04:37:52.436911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 119
27.0%
0 108
24.5%
C 44
 
10.0%
4 42
 
9.5%
8 30
 
6.8%
9 22
 
5.0%
3 22
 
5.0%
7 20
 
4.5%
5 16
 
3.6%
6 11
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 396
90.0%
Uppercase Letter 44
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 119
30.1%
0 108
27.3%
4 42
 
10.6%
8 30
 
7.6%
9 22
 
5.6%
3 22
 
5.6%
7 20
 
5.1%
5 16
 
4.0%
6 11
 
2.8%
2 6
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
C 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 396
90.0%
Latin 44
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 119
30.1%
0 108
27.3%
4 42
 
10.6%
8 30
 
7.6%
9 22
 
5.6%
3 22
 
5.6%
7 20
 
5.1%
5 16
 
4.0%
6 11
 
2.8%
2 6
 
1.5%
Latin
ValueCountFrequency (%)
C 44
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 119
27.0%
0 108
24.5%
C 44
 
10.0%
4 42
 
9.5%
8 30
 
6.8%
9 22
 
5.0%
3 22
 
5.0%
7 20
 
4.5%
5 16
 
3.6%
6 11
 
2.5%
Distinct42
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-05-11T04:37:53.524085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length28.5
Mean length23.022727
Min length10

Characters and Unicode

Total characters1013
Distinct characters204
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)90.9%

Sample

1st row[유료]정리수납관리사2급과정
2nd row★개강확정★[유료] 장기요양기관 운영실무
3rd row[유료]실버뇌건강 코칭지도사 과정
4th row★개강확정★[근로장려금] 생애설계컨설턴트양성과정
5th row[국비지원][직업훈련]국제무역사 및 무역실무자 양성과정
ValueCountFrequency (%)
내일배움 8
 
7.8%
★개강확정★[내일배움 3
 
2.9%
양성과정 3
 
2.9%
취득과정(사회복지사자격증소지자_주말반 2
 
1.9%
찾기 2
 
1.9%
이미지 2
 
1.9%
블로그,인스타 2
 
1.9%
자격취득 2
 
1.9%
유료 2
 
1.9%
생애설계컨설턴트양성과정 2
 
1.9%
Other values (68) 75
72.8%
2024-05-11T04:37:54.658236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
60
 
5.9%
] 49
 
4.8%
[ 47
 
4.6%
39
 
3.8%
29
 
2.9%
26
 
2.6%
25
 
2.5%
25
 
2.5%
24
 
2.4%
24
 
2.4%
Other values (194) 665
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 783
77.3%
Close Punctuation 63
 
6.2%
Open Punctuation 61
 
6.0%
Space Separator 60
 
5.9%
Other Symbol 18
 
1.8%
Other Punctuation 13
 
1.3%
Decimal Number 9
 
0.9%
Uppercase Letter 3
 
0.3%
Connector Punctuation 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
39
 
5.0%
29
 
3.7%
26
 
3.3%
25
 
3.2%
25
 
3.2%
24
 
3.1%
24
 
3.1%
18
 
2.3%
18
 
2.3%
16
 
2.0%
Other values (178) 539
68.8%
Other Punctuation
ValueCountFrequency (%)
, 11
84.6%
& 1
 
7.7%
/ 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
C 1
33.3%
I 1
33.3%
Close Punctuation
ValueCountFrequency (%)
] 49
77.8%
) 14
 
22.2%
Open Punctuation
ValueCountFrequency (%)
[ 47
77.0%
( 14
 
23.0%
Decimal Number
ValueCountFrequency (%)
2 8
88.9%
1 1
 
11.1%
Space Separator
ValueCountFrequency (%)
60
100.0%
Other Symbol
ValueCountFrequency (%)
18
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 783
77.3%
Common 227
 
22.4%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
39
 
5.0%
29
 
3.7%
26
 
3.3%
25
 
3.2%
25
 
3.2%
24
 
3.1%
24
 
3.1%
18
 
2.3%
18
 
2.3%
16
 
2.0%
Other values (178) 539
68.8%
Common
ValueCountFrequency (%)
60
26.4%
] 49
21.6%
[ 47
20.7%
18
 
7.9%
( 14
 
6.2%
) 14
 
6.2%
, 11
 
4.8%
2 8
 
3.5%
_ 2
 
0.9%
& 1
 
0.4%
Other values (3) 3
 
1.3%
Latin
ValueCountFrequency (%)
T 1
33.3%
C 1
33.3%
I 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 783
77.3%
ASCII 212
 
20.9%
Misc Symbols 18
 
1.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
60
28.3%
] 49
23.1%
[ 47
22.2%
( 14
 
6.6%
) 14
 
6.6%
, 11
 
5.2%
2 8
 
3.8%
_ 2
 
0.9%
& 1
 
0.5%
T 1
 
0.5%
Other values (5) 5
 
2.4%
Hangul
ValueCountFrequency (%)
39
 
5.0%
29
 
3.7%
26
 
3.3%
25
 
3.2%
25
 
3.2%
24
 
3.1%
24
 
3.1%
18
 
2.3%
18
 
2.3%
16
 
2.0%
Other values (178) 539
68.8%
Misc Symbols
ValueCountFrequency (%)
18
100.0%

기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
19
44 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row19
2nd row19
3rd row19
4th row19
5th row19

Common Values

ValueCountFrequency (%)
19 44
100.0%

Length

2024-05-11T04:37:55.216392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:37:55.509028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19 44
100.0%

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
송파여성인력개발센터
44 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
송파여성인력개발센터 44
100.0%

Length

2024-05-11T04:37:55.901733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:37:56.305974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
송파여성인력개발센터 44
100.0%

난이도코드
Categorical

Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
N
16 
J
15 
C
M
T
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
N 16
36.4%
J 15
34.1%
C 9
20.5%
M 3
 
6.8%
T 1
 
2.3%

Length

2024-05-11T04:37:56.711349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:37:57.117775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 16
36.4%
j 15
34.1%
c 9
20.5%
m 3
 
6.8%
t 1
 
2.3%

난이도명
Categorical

Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
관계없음
16 
초급
15 
자격
중급
통합
 
1

Length

Max length4
Median length2
Mean length2.7272727
Min length2

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
관계없음 16
36.4%
초급 15
34.1%
자격 9
20.5%
중급 3
 
6.8%
통합 1
 
2.3%

Length

2024-05-11T04:37:57.690315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:37:58.172508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관계없음 16
36.4%
초급 15
34.1%
자격 9
20.5%
중급 3
 
6.8%
통합 1
 
2.3%
Distinct28
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240126
Minimum20231222
Maximum20240508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-11T04:37:58.910930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20231222
5-th percentile20240110
Q120240219
median20240401
Q320240422
95-th percentile20240503
Maximum20240508
Range9286
Interquartile range (IQR)203

Descriptive statistics

Standard deviation1378.8061
Coefficient of variation (CV)6.812241 × 10-5
Kurtosis43.276085
Mean20240126
Median Absolute Deviation (MAD)102
Skewness-6.553267
Sum8.9056553 × 108
Variance1901106.3
MonotonicityNot monotonic
2024-05-11T04:37:59.468373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
20240227 5
 
11.4%
20240401 4
 
9.1%
20240503 3
 
6.8%
20240409 2
 
4.5%
20240423 2
 
4.5%
20240205 2
 
4.5%
20240208 2
 
4.5%
20240219 2
 
4.5%
20240422 2
 
4.5%
20240415 2
 
4.5%
Other values (18) 18
40.9%
ValueCountFrequency (%)
20231222 1
2.3%
20240101 1
2.3%
20240108 1
2.3%
20240118 1
2.3%
20240201 1
2.3%
20240205 2
4.5%
20240206 1
2.3%
20240208 2
4.5%
20240219 2
4.5%
20240221 1
2.3%
ValueCountFrequency (%)
20240508 1
 
2.3%
20240507 1
 
2.3%
20240503 3
6.8%
20240430 1
 
2.3%
20240429 1
 
2.3%
20240426 1
 
2.3%
20240423 2
4.5%
20240422 2
4.5%
20240417 1
 
2.3%
20240416 1
 
2.3%
Distinct28
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240612
Minimum20240511
Maximum20240924
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-11T04:37:59.973895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240511
5-th percentile20240513
Q120240527
median20240604
Q320240615
95-th percentile20240817
Maximum20240924
Range413
Interquartile range (IQR)88.25

Descriptive statistics

Standard deviation95.315374
Coefficient of variation (CV)4.7091153 × 10-6
Kurtosis1.9940217
Mean20240612
Median Absolute Deviation (MAD)74
Skewness1.380938
Sum8.9058692 × 108
Variance9085.0206
MonotonicityNot monotonic
2024-05-11T04:38:00.382037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
20240604 6
 
13.6%
20240527 4
 
9.1%
20240610 3
 
6.8%
20240511 2
 
4.5%
20240611 2
 
4.5%
20240703 2
 
4.5%
20240531 2
 
4.5%
20240517 2
 
4.5%
20240603 2
 
4.5%
20240819 1
 
2.3%
Other values (18) 18
40.9%
ValueCountFrequency (%)
20240511 2
4.5%
20240513 1
 
2.3%
20240516 1
 
2.3%
20240517 2
4.5%
20240520 1
 
2.3%
20240525 1
 
2.3%
20240527 4
9.1%
20240529 1
 
2.3%
20240531 2
4.5%
20240603 2
4.5%
ValueCountFrequency (%)
20240924 1
2.3%
20240820 1
2.3%
20240819 1
2.3%
20240806 1
2.3%
20240723 1
2.3%
20240709 1
2.3%
20240703 2
4.5%
20240702 1
2.3%
20240624 1
2.3%
20240616 1
2.3%
Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2024-05-11 09:00:00
Maximum2024-05-11 09:00:00
2024-05-11T04:38:00.707500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:38:01.167757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
Distinct9
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
24:00
15 
18:00
09:00
14:00
11:00
Other values (4)

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique4 ?
Unique (%)9.1%

Sample

1st row09:00
2nd row18:00
3rd row14:00
4th row24:00
5th row18:00

Common Values

ValueCountFrequency (%)
24:00 15
34.1%
18:00 9
20.5%
09:00 7
15.9%
14:00 7
15.9%
11:00 2
 
4.5%
18:20 1
 
2.3%
19:00 1
 
2.3%
15:00 1
 
2.3%
13:00 1
 
2.3%

Length

2024-05-11T04:38:01.686597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:38:02.197375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
24:00 15
34.1%
18:00 9
20.5%
09:00 7
15.9%
14:00 7
15.9%
11:00 2
 
4.5%
18:20 1
 
2.3%
19:00 1
 
2.3%
15:00 1
 
2.3%
13:00 1
 
2.3%

교육시작일
Real number (ℝ)

Distinct26
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240613
Minimum20240511
Maximum20240924
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-11T04:38:02.791846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240511
5-th percentile20240513
Q120240527
median20240604
Q320240617
95-th percentile20240817
Maximum20240924
Range413
Interquartile range (IQR)90.25

Descriptive statistics

Standard deviation92.709063
Coefficient of variation (CV)4.5803485 × 10-6
Kurtosis2.4507397
Mean20240613
Median Absolute Deviation (MAD)20
Skewness1.4652642
Sum8.9058698 × 108
Variance8594.9704
MonotonicityNot monotonic
2024-05-11T04:38:03.329495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
20240604 6
 
13.6%
20240527 4
 
9.1%
20240603 3
 
6.8%
20240610 3
 
6.8%
20240624 3
 
6.8%
20240511 2
 
4.5%
20240518 2
 
4.5%
20240601 2
 
4.5%
20240611 2
 
4.5%
20240819 1
 
2.3%
Other values (16) 16
36.4%
ValueCountFrequency (%)
20240511 2
4.5%
20240513 1
 
2.3%
20240516 1
 
2.3%
20240518 2
4.5%
20240520 1
 
2.3%
20240525 1
 
2.3%
20240527 4
9.1%
20240529 1
 
2.3%
20240601 2
4.5%
20240603 3
6.8%
ValueCountFrequency (%)
20240924 1
 
2.3%
20240820 1
 
2.3%
20240819 1
 
2.3%
20240806 1
 
2.3%
20240723 1
 
2.3%
20240709 1
 
2.3%
20240704 1
 
2.3%
20240702 1
 
2.3%
20240624 3
6.8%
20240615 1
 
2.3%

교육종료일
Real number (ℝ)

Distinct34
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240727
Minimum20240516
Maximum20241210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-11T04:38:03.806076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240516
5-th percentile20240608
Q120240629
median20240708
Q320240726
95-th percentile20240987
Maximum20241210
Range694
Interquartile range (IQR)97.25

Descriptive statistics

Standard deviation125.56734
Coefficient of variation (CV)6.203697 × 10-6
Kurtosis4.5257676
Mean20240727
Median Absolute Deviation (MAD)79.5
Skewness1.7780183
Sum8.90592 × 108
Variance15767.156
MonotonicityNot monotonic
2024-05-11T04:38:04.317363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
20240629 3
 
6.8%
20240711 2
 
4.5%
20240708 2
 
4.5%
20240608 2
 
4.5%
20240622 2
 
4.5%
20240703 2
 
4.5%
20240617 2
 
4.5%
20240702 2
 
4.5%
20240717 2
 
4.5%
20240701 1
 
2.3%
Other values (24) 24
54.5%
ValueCountFrequency (%)
20240516 1
 
2.3%
20240604 1
 
2.3%
20240608 2
4.5%
20240617 2
4.5%
20240621 1
 
2.3%
20240622 2
4.5%
20240627 1
 
2.3%
20240629 3
6.8%
20240701 1
 
2.3%
20240702 2
4.5%
ValueCountFrequency (%)
20241210 1
2.3%
20241007 1
2.3%
20241002 1
2.3%
20240903 1
2.3%
20240902 1
2.3%
20240829 1
2.3%
20240823 1
2.3%
20240813 1
2.3%
20240805 1
2.3%
20240801 1
2.3%
Distinct8
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2024-05-11 09:20:00
Maximum2024-05-11 19:00:00
2024-05-11T04:38:04.815592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:38:05.380997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
Distinct10
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2024-05-11 12:00:00
Maximum2024-05-11 22:00:00
2024-05-11T04:38:06.034777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:38:06.877088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

교육요일(월)
Boolean

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size176.0 B
True
44 
ValueCountFrequency (%)
True 44
100.0%
2024-05-11T04:38:07.402094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(화)
Boolean

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size176.0 B
True
44 
ValueCountFrequency (%)
True 44
100.0%
2024-05-11T04:38:07.850011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(수)
Boolean

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size176.0 B
True
44 
ValueCountFrequency (%)
True 44
100.0%
2024-05-11T04:38:08.122741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(목)
Boolean

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size176.0 B
True
44 
ValueCountFrequency (%)
True 44
100.0%
2024-05-11T04:38:08.712189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(금)
Boolean

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size176.0 B
True
44 
ValueCountFrequency (%)
True 44
100.0%
2024-05-11T04:38:09.253103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(토)
Boolean

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size176.0 B
True
44 
ValueCountFrequency (%)
True 44
100.0%
2024-05-11T04:38:09.672104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(일)
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)4.3%
Missing21
Missing (%)47.7%
Memory size220.0 B
True
23 
(Missing)
21 
ValueCountFrequency (%)
True 23
52.3%
(Missing) 21
47.7%
2024-05-11T04:38:10.022434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

모집정원
Real number (ℝ)

Distinct10
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.704545
Minimum12
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-11T04:38:10.303701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile16
Q118
median20
Q330
95-th percentile40
Maximum40
Range28
Interquartile range (IQR)12

Descriptive statistics

Standard deviation8.7910619
Coefficient of variation (CV)0.37085975
Kurtosis-0.42095538
Mean23.704545
Median Absolute Deviation (MAD)3
Skewness1.0385667
Sum1043
Variance77.28277
MonotonicityNot monotonic
2024-05-11T04:38:10.651202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20 13
29.5%
40 8
18.2%
18 7
15.9%
30 5
 
11.4%
17 4
 
9.1%
16 3
 
6.8%
19 1
 
2.3%
12 1
 
2.3%
15 1
 
2.3%
25 1
 
2.3%
ValueCountFrequency (%)
12 1
 
2.3%
15 1
 
2.3%
16 3
 
6.8%
17 4
 
9.1%
18 7
15.9%
19 1
 
2.3%
20 13
29.5%
25 1
 
2.3%
30 5
 
11.4%
40 8
18.2%
ValueCountFrequency (%)
40 8
18.2%
30 5
 
11.4%
25 1
 
2.3%
20 13
29.5%
19 1
 
2.3%
18 7
15.9%
17 4
 
9.1%
16 3
 
6.8%
15 1
 
2.3%
12 1
 
2.3%

예비자모집인원
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11
Minimum0
Maximum40
Zeros4
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-11T04:38:11.009496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median10
Q310
95-th percentile20
Maximum40
Range40
Interquartile range (IQR)2

Descriptive statistics

Standard deviation7.8533062
Coefficient of variation (CV)0.71393693
Kurtosis7.3107933
Mean11
Median Absolute Deviation (MAD)0.5
Skewness2.267774
Sum484
Variance61.674419
MonotonicityNot monotonic
2024-05-11T04:38:11.382924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
10 22
50.0%
8 5
 
11.4%
15 4
 
9.1%
0 4
 
9.1%
5 3
 
6.8%
20 3
 
6.8%
40 2
 
4.5%
9 1
 
2.3%
ValueCountFrequency (%)
0 4
 
9.1%
5 3
 
6.8%
8 5
 
11.4%
9 1
 
2.3%
10 22
50.0%
15 4
 
9.1%
20 3
 
6.8%
40 2
 
4.5%
ValueCountFrequency (%)
40 2
 
4.5%
20 3
 
6.8%
15 4
 
9.1%
10 22
50.0%
9 1
 
2.3%
8 5
 
11.4%
5 3
 
6.8%
0 4
 
9.1%

수강료(원)
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)70.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125097.95
Minimum0
Maximum700000
Zeros4
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-11T04:38:11.682840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q162755
median87140
Q3150732.5
95-th percentile397067
Maximum700000
Range700000
Interquartile range (IQR)87977.5

Descriptive statistics

Standard deviation128047.41
Coefficient of variation (CV)1.0235771
Kurtosis9.476962
Mean125097.95
Median Absolute Deviation (MAD)34470
Skewness2.7550489
Sum5504310
Variance1.6396138 × 1010
MonotonicityNot monotonic
2024-05-11T04:38:12.055082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 4
 
9.1%
80000 3
 
6.8%
92730 2
 
4.5%
231020 2
 
4.5%
50000 2
 
4.5%
40140 2
 
4.5%
87210 2
 
4.5%
120000 2
 
4.5%
87070 2
 
4.5%
76470 2
 
4.5%
Other values (21) 21
47.7%
ValueCountFrequency (%)
0 4
9.1%
40140 2
4.5%
43610 1
 
2.3%
50000 2
4.5%
51060 1
 
2.3%
56620 1
 
2.3%
64800 1
 
2.3%
64880 1
 
2.3%
72560 1
 
2.3%
74190 1
 
2.3%
ValueCountFrequency (%)
700000 1
2.3%
430240 1
2.3%
423020 1
2.3%
250000 1
2.3%
231020 2
4.5%
200000 1
2.3%
185360 1
2.3%
180000 1
2.3%
174420 1
2.3%
152930 1
2.3%
Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size176.0 B
True
43 
False
 
1
ValueCountFrequency (%)
True 43
97.7%
False 1
 
2.3%
2024-05-11T04:38:12.417251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size176.0 B
True
44 
ValueCountFrequency (%)
True 44
100.0%
2024-05-11T04:38:12.722979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

상세정보 주소
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-05-11T04:38:13.420350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length90
Mean length90
Min length90

Characters and Unicode

Total characters3960
Distinct characters36
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

Unique44 ?
Unique (%)100.0%

Sample

1st rowhttps://songpa.seoulwomanup.or.kr/songpa/edu/selectEduProgram.do?sch_class_code=C100142115
2nd rowhttps://songpa.seoulwomanup.or.kr/songpa/edu/selectEduProgram.do?sch_class_code=C100142124
3rd rowhttps://songpa.seoulwomanup.or.kr/songpa/edu/selectEduProgram.do?sch_class_code=C100141834
4th rowhttps://songpa.seoulwomanup.or.kr/songpa/edu/selectEduProgram.do?sch_class_code=C100141870
5th rowhttps://songpa.seoulwomanup.or.kr/songpa/edu/selectEduProgram.do?sch_class_code=C100140337
ValueCountFrequency (%)
https://songpa.seoulwomanup.or.kr/songpa/edu/selecteduprogram.do?sch_class_code=c100142115 1
 
2.3%
https://songpa.seoulwomanup.or.kr/songpa/edu/selecteduprogram.do?sch_class_code=c100142124 1
 
2.3%
https://songpa.seoulwomanup.or.kr/songpa/edu/selecteduprogram.do?sch_class_code=c100139546 1
 
2.3%
https://songpa.seoulwomanup.or.kr/songpa/edu/selecteduprogram.do?sch_class_code=c100141759 1
 
2.3%
https://songpa.seoulwomanup.or.kr/songpa/edu/selecteduprogram.do?sch_class_code=c100141961 1
 
2.3%
https://songpa.seoulwomanup.or.kr/songpa/edu/selecteduprogram.do?sch_class_code=c100141581 1
 
2.3%
https://songpa.seoulwomanup.or.kr/songpa/edu/selecteduprogram.do?sch_class_code=c100141582 1
 
2.3%
https://songpa.seoulwomanup.or.kr/songpa/edu/selecteduprogram.do?sch_class_code=c100141569 1
 
2.3%
https://songpa.seoulwomanup.or.kr/songpa/edu/selecteduprogram.do?sch_class_code=c100140739 1
 
2.3%
https://songpa.seoulwomanup.or.kr/songpa/edu/selecteduprogram.do?sch_class_code=c100140735 1
 
2.3%
Other values (34) 34
77.3%
2024-05-11T04:38:14.538603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 352
 
8.9%
o 352
 
8.9%
a 220
 
5.6%
/ 220
 
5.6%
e 220
 
5.6%
. 176
 
4.4%
r 176
 
4.4%
u 176
 
4.4%
d 176
 
4.4%
p 176
 
4.4%
Other values (26) 1716
43.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2816
71.1%
Other Punctuation 484
 
12.2%
Decimal Number 396
 
10.0%
Uppercase Letter 132
 
3.3%
Connector Punctuation 88
 
2.2%
Math Symbol 44
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 352
12.5%
o 352
12.5%
a 220
 
7.8%
e 220
 
7.8%
r 176
 
6.2%
u 176
 
6.2%
d 176
 
6.2%
p 176
 
6.2%
c 176
 
6.2%
t 132
 
4.7%
Other values (7) 660
23.4%
Decimal Number
ValueCountFrequency (%)
1 119
30.1%
0 108
27.3%
4 42
 
10.6%
8 30
 
7.6%
9 22
 
5.6%
3 22
 
5.6%
7 20
 
5.1%
5 16
 
4.0%
6 11
 
2.8%
2 6
 
1.5%
Other Punctuation
ValueCountFrequency (%)
/ 220
45.5%
. 176
36.4%
: 44
 
9.1%
? 44
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
C 44
33.3%
E 44
33.3%
P 44
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 88
100.0%
Math Symbol
ValueCountFrequency (%)
= 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2948
74.4%
Common 1012
 
25.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 352
11.9%
o 352
11.9%
a 220
 
7.5%
e 220
 
7.5%
r 176
 
6.0%
u 176
 
6.0%
d 176
 
6.0%
p 176
 
6.0%
c 176
 
6.0%
t 132
 
4.5%
Other values (10) 792
26.9%
Common
ValueCountFrequency (%)
/ 220
21.7%
. 176
17.4%
1 119
11.8%
0 108
10.7%
_ 88
 
8.7%
: 44
 
4.3%
= 44
 
4.3%
? 44
 
4.3%
4 42
 
4.2%
8 30
 
3.0%
Other values (6) 97
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 352
 
8.9%
o 352
 
8.9%
a 220
 
5.6%
/ 220
 
5.6%
e 220
 
5.6%
. 176
 
4.4%
r 176
 
4.4%
u 176
 
4.4%
d 176
 
4.4%
p 176
 
4.4%
Other values (26) 1716
43.3%

Sample

강좌코드강좌명기관코드기관명난이도코드난이도명수강신청 접수시작일수강신청 접수종료일수강신청 접수시작시간수강신청 접수마감시간교육시작일교육종료일교육시작시간교육종료시간교육요일(월)교육요일(화)교육요일(수)교육요일(목)교육요일(금)교육요일(토)교육요일(일)모집정원예비자모집인원수강료(원)접수방법(방문접수여부Y,N)접수방법(온라인접수여부Y,N)상세정보 주소
0C100142115[유료]정리수납관리사2급과정19송파여성인력개발센터N관계없음202405082024060709:0009:00202406072024070510:0013:00YYYYYY<NA>401080000YYhttps://songpa.seoulwomanup.or.kr/songpa/edu/selectEduProgram.do?sch_class_code=C100142115
1C100142124★개강확정★[유료] 장기요양기관 운영실무19송파여성인력개발센터M중급202404012024053109:0018:00202406012024062209:3017:30YYYYYY<NA>1610185360YYhttps://songpa.seoulwomanup.or.kr/songpa/edu/selectEduProgram.do?sch_class_code=C100142124
2C100141834[유료]실버뇌건강 코칭지도사 과정19송파여성인력개발센터N관계없음202404232024062409:0014:00202406242024070819:0022:00YYYYYY<NA>301580000YYhttps://songpa.seoulwomanup.or.kr/songpa/edu/selectEduProgram.do?sch_class_code=C100141834
3C100141870★개강확정★[근로장려금] 생애설계컨설턴트양성과정19송파여성인력개발센터N관계없음202402052024051109:0024:00202405112024060810:0017:00YYYYYY<NA>17843610YYhttps://songpa.seoulwomanup.or.kr/songpa/edu/selectEduProgram.do?sch_class_code=C100141870
4C100140337[국비지원][직업훈련]국제무역사 및 무역실무자 양성과정19송파여성인력개발센터C자격202402082024052709:0018:00202405272024080514:0018:00YYYYYYY20100YYhttps://songpa.seoulwomanup.or.kr/songpa/edu/selectEduProgram.do?sch_class_code=C100140337
5C100141914[내일배움]아이돌봄인력 양성과정19송파여성인력개발센터N관계없음202404302024082009:0011:00202408202024100213:0018:00YYYYYY<NA>4040423020YYhttps://songpa.seoulwomanup.or.kr/songpa/edu/selectEduProgram.do?sch_class_code=C100141914
6C100141877[내일배움]사회복지사1급 자격취득과정(야간반)19송파여성인력개발센터C자격202404262024092409:0009:00202409242024121019:0022:00YYYYYY<NA>4015152930NYhttps://songpa.seoulwomanup.or.kr/songpa/edu/selectEduProgram.do?sch_class_code=C100141877
7C100141867[내일배움] 블로그,인스타 온라인마케팅19송파여성인력개발센터J초급202402272024080609:0024:00202408062024090319:0022:00YYYYYY<NA>20576470YYhttps://songpa.seoulwomanup.or.kr/songpa/edu/selectEduProgram.do?sch_class_code=C100141867
8C100141856[유료] 베이비시터19송파여성인력개발센터N관계없음202404222024061009:0018:00202406102024062114:0018:00YYYYYY<NA>201090000YYhttps://songpa.seoulwomanup.or.kr/songpa/edu/selectEduProgram.do?sch_class_code=C100141856
9C100141839[내일배움] 손글씨 캘리그라피입문과정19송파여성인력개발센터J초급202404012024070309:0024:00202406032024070313:0017:00YYYYYY<NA>181092730YYhttps://songpa.seoulwomanup.or.kr/songpa/edu/selectEduProgram.do?sch_class_code=C100141839
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
34C100140399[내일배움]민사실무입문과정19송파여성인력개발센터J초급202402212024070909:0014:00202407092024080119:0022:00YYYYYYY301540140YYhttps://songpa.seoulwomanup.or.kr/songpa/edu/selectEduProgram.do?sch_class_code=C100140399
35C100138563[내일배움]법무등기실무입문과정19송파여성인력개발센터J초급202401182024060409:0014:00202406042024070219:0022:00YYYYYYY30040140YYhttps://songpa.seoulwomanup.or.kr/songpa/edu/selectEduProgram.do?sch_class_code=C100138563
36C100139890[국비지원] [직업훈련]세무경리사무원 양성과정19송파여성인력개발센터C자격202402062024061409:0015:00202406242024090214:0018:00YYYYYYY20200YYhttps://songpa.seoulwomanup.or.kr/songpa/edu/selectEduProgram.do?sch_class_code=C100139890
37C100141807[유료]실내식물관리사2급과정19송파여성인력개발센터C자격202404222024061209:0009:00202406122024070310:0012:00YYYYYY<NA>2020100000YYhttps://songpa.seoulwomanup.or.kr/songpa/edu/selectEduProgram.do?sch_class_code=C100141807
38C100141561★개강확정★[유료]요양보호사 취득과정(사회복지사자격증소지자_주말반)19송파여성인력개발센터N관계없음202402192024051709:0014:00202405182024062909:3017:30YYYYYY<NA>4010250000YYhttps://songpa.seoulwomanup.or.kr/songpa/edu/selectEduProgram.do?sch_class_code=C100141561
39C100140705[내일배움]컴퓨터활용능력2급(실기)자격증취득과정19송파여성인력개발센터C자격202401012024052909:0013:00202405292024071719:0022:00YYYYYYY1810113400YYhttps://songpa.seoulwomanup.or.kr/songpa/edu/selectEduProgram.do?sch_class_code=C100140705
40C100139752[내일배움]포토샵기초과정19송파여성인력개발센터J초급202405032024070209:0018:00202407022024072519:0022:00YYYYYYY181074190YYhttps://songpa.seoulwomanup.or.kr/songpa/edu/selectEduProgram.do?sch_class_code=C100139752
41C100139724★개강확정★[내일배움] 생애설계컨설턴트양성과정19송파여성인력개발센터N관계없음202402052024051109:0024:00202405112024060810:0017:00YYYYYYY17887210YYhttps://songpa.seoulwomanup.or.kr/songpa/edu/selectEduProgram.do?sch_class_code=C100139724
42C100138734[유료]꽃차 소믈리에2급19송파여성인력개발센터N관계없음202403202024061309:0009:00202406132024062714:0017:00YYYYYYY2010200000YYhttps://songpa.seoulwomanup.or.kr/songpa/edu/selectEduProgram.do?sch_class_code=C100138734
43C100138168[유료] 맞춤형화장품조제관리사 자격증취득과정(화장품제조필수/회사취업우대)19송파여성인력개발센터C자격202402272024081909:0024:00202408192024100719:0022:00YYYYYYY2010180000YYhttps://songpa.seoulwomanup.or.kr/songpa/edu/selectEduProgram.do?sch_class_code=C100138168