Overview

Dataset statistics

Number of variables27
Number of observations52
Missing cells35
Missing cells (%)2.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.5 KiB
Average record size in memory226.5 B

Variable types

Text3
Categorical9
Numeric6
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-2286/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(방문접수여부Y,N) is highly imbalanced (54.3%)Imbalance
접수방법(온라인접수여부Y,N) is highly imbalanced (54.3%)Imbalance
교육요일(일) has 35 (67.3%) missing valuesMissing
강좌코드 has unique valuesUnique
상세정보 주소 has unique valuesUnique
수강료(원) has 6 (11.5%) zerosZeros

Reproduction

Analysis started2024-05-11 03:06:49.644177
Analysis finished2024-05-11 03:06:50.474631
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

강좌코드
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2024-05-11T03:06:50.929964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters520
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

Unique52 ?
Unique (%)100.0%

Sample

1st rowC100142123
2nd rowC100142110
3rd rowC100141984
4th rowC100141980
5th rowC100141912
ValueCountFrequency (%)
c100142123 1
 
1.9%
c100142110 1
 
1.9%
c100141534 1
 
1.9%
c100141926 1
 
1.9%
c100141823 1
 
1.9%
c100141689 1
 
1.9%
c100141535 1
 
1.9%
c100141909 1
 
1.9%
c100141908 1
 
1.9%
c100141836 1
 
1.9%
Other values (42) 42
80.8%
2024-05-11T03:06:52.379832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 153
29.4%
0 123
23.7%
C 52
 
10.0%
4 50
 
9.6%
3 32
 
6.2%
8 31
 
6.0%
9 25
 
4.8%
2 17
 
3.3%
5 13
 
2.5%
7 12
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 468
90.0%
Uppercase Letter 52
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 153
32.7%
0 123
26.3%
4 50
 
10.7%
3 32
 
6.8%
8 31
 
6.6%
9 25
 
5.3%
2 17
 
3.6%
5 13
 
2.8%
7 12
 
2.6%
6 12
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
C 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 468
90.0%
Latin 52
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 153
32.7%
0 123
26.3%
4 50
 
10.7%
3 32
 
6.8%
8 31
 
6.6%
9 25
 
5.3%
2 17
 
3.6%
5 13
 
2.8%
7 12
 
2.6%
6 12
 
2.6%
Latin
ValueCountFrequency (%)
C 52
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 153
29.4%
0 123
23.7%
C 52
 
10.0%
4 50
 
9.6%
3 32
 
6.2%
8 31
 
6.0%
9 25
 
4.8%
2 17
 
3.3%
5 13
 
2.5%
7 12
 
2.3%
Distinct43
Distinct (%)82.7%
Missing0
Missing (%)0.0%
Memory size548.0 B
2024-05-11T03:06:53.264936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length26.5
Mean length18.480769
Min length7

Characters and Unicode

Total characters961
Distinct characters211
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

Unique37 ?
Unique (%)71.2%

Sample

1st row요양보호사 자격증 취득(신규자반)
2nd row중식조리기능사 실기
3rd row인사노무실무(급여관리/4대보험)
4th row떡제조기능사(이론+실기)
5th row원더풀!마이라이프(8기)- 취업대비교육 집단상담
ValueCountFrequency (%)
실기 7
 
4.9%
취업대비교육 6
 
4.2%
집단상담 6
 
4.2%
중식조리기능사 3
 
2.1%
한식조리기능사 3
 
2.1%
떡제조기능사(이론+실기 3
 
2.1%
소믈리에 3
 
2.1%
자격증 3
 
2.1%
요양보호사 3
 
2.1%
취득 3
 
2.1%
Other values (90) 103
72.0%
2024-05-11T03:06:54.876122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
93
 
9.7%
38
 
4.0%
) 34
 
3.5%
( 34
 
3.5%
21
 
2.2%
20
 
2.1%
19
 
2.0%
16
 
1.7%
14
 
1.5%
12
 
1.2%
Other values (201) 660
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 696
72.4%
Space Separator 93
 
9.7%
Close Punctuation 45
 
4.7%
Open Punctuation 45
 
4.7%
Uppercase Letter 30
 
3.1%
Decimal Number 13
 
1.4%
Other Punctuation 13
 
1.4%
Other Symbol 10
 
1.0%
Math Symbol 9
 
0.9%
Dash Punctuation 7
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
38
 
5.5%
21
 
3.0%
20
 
2.9%
19
 
2.7%
16
 
2.3%
14
 
2.0%
12
 
1.7%
12
 
1.7%
11
 
1.6%
11
 
1.6%
Other values (171) 522
75.0%
Uppercase Letter
ValueCountFrequency (%)
I 8
26.7%
T 7
23.3%
Q 6
20.0%
W 2
 
6.7%
A 2
 
6.7%
S 1
 
3.3%
O 1
 
3.3%
E 1
 
3.3%
N 1
 
3.3%
H 1
 
3.3%
Decimal Number
ValueCountFrequency (%)
1 6
46.2%
4 2
 
15.4%
9 1
 
7.7%
8 1
 
7.7%
2 1
 
7.7%
0 1
 
7.7%
7 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
! 6
46.2%
, 3
23.1%
& 2
 
15.4%
/ 1
 
7.7%
: 1
 
7.7%
Close Punctuation
ValueCountFrequency (%)
) 34
75.6%
] 11
 
24.4%
Open Punctuation
ValueCountFrequency (%)
( 34
75.6%
[ 11
 
24.4%
Space Separator
ValueCountFrequency (%)
93
100.0%
Other Symbol
ValueCountFrequency (%)
10
100.0%
Math Symbol
ValueCountFrequency (%)
+ 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 696
72.4%
Common 235
 
24.5%
Latin 30
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
38
 
5.5%
21
 
3.0%
20
 
2.9%
19
 
2.7%
16
 
2.3%
14
 
2.0%
12
 
1.7%
12
 
1.7%
11
 
1.6%
11
 
1.6%
Other values (171) 522
75.0%
Common
ValueCountFrequency (%)
93
39.6%
) 34
 
14.5%
( 34
 
14.5%
[ 11
 
4.7%
] 11
 
4.7%
10
 
4.3%
+ 9
 
3.8%
- 7
 
3.0%
1 6
 
2.6%
! 6
 
2.6%
Other values (10) 14
 
6.0%
Latin
ValueCountFrequency (%)
I 8
26.7%
T 7
23.3%
Q 6
20.0%
W 2
 
6.7%
A 2
 
6.7%
S 1
 
3.3%
O 1
 
3.3%
E 1
 
3.3%
N 1
 
3.3%
H 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 696
72.4%
ASCII 255
 
26.5%
Misc Symbols 10
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
93
36.5%
) 34
 
13.3%
( 34
 
13.3%
[ 11
 
4.3%
] 11
 
4.3%
+ 9
 
3.5%
I 8
 
3.1%
- 7
 
2.7%
T 7
 
2.7%
1 6
 
2.4%
Other values (19) 35
 
13.7%
Hangul
ValueCountFrequency (%)
38
 
5.5%
21
 
3.0%
20
 
2.9%
19
 
2.7%
16
 
2.3%
14
 
2.0%
12
 
1.7%
12
 
1.7%
11
 
1.6%
11
 
1.6%
Other values (171) 522
75.0%
Misc Symbols
ValueCountFrequency (%)
10
100.0%

기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
18
52 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row18
2nd row18
3rd row18
4th row18
5th row18

Common Values

ValueCountFrequency (%)
18 52
100.0%

Length

2024-05-11T03:06:55.376796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:06:55.743695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18 52
100.0%

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
동작여성인력개발센터
52 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동작여성인력개발센터 52
100.0%

Length

2024-05-11T03:06:56.065721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:06:56.372831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동작여성인력개발센터 52
100.0%

난이도코드
Categorical

Distinct5
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size548.0 B
C
17 
J
17 
N
12 
A
Z

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
C 17
32.7%
J 17
32.7%
N 12
23.1%
A 4
 
7.7%
Z 2
 
3.8%

Length

2024-05-11T03:06:56.685310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:06:57.051077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
c 17
32.7%
j 17
32.7%
n 12
23.1%
a 4
 
7.7%
z 2
 
3.8%

난이도명
Categorical

Distinct5
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size548.0 B
자격
17 
초급
17 
관계없음
12 
초중급
고급.중급.초급

Length

Max length8
Median length2
Mean length2.7692308
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자격 17
32.7%
초급 17
32.7%
관계없음 12
23.1%
초중급 4
 
7.7%
고급.중급.초급 2
 
3.8%

Length

2024-05-11T03:06:57.464661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:06:57.782276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자격 17
32.7%
초급 17
32.7%
관계없음 12
23.1%
초중급 4
 
7.7%
고급.중급.초급 2
 
3.8%
Distinct25
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20237788
Minimum20231001
Maximum20240510
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-05-11T03:06:58.008337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20231001
5-th percentile20231101
Q120231217
median20240128
Q320240302
95-th percentile20240458
Maximum20240510
Range9509
Interquartile range (IQR)9085.25

Descriptive statistics

Standard deviation4067.8538
Coefficient of variation (CV)0.00020100288
Kurtosis-0.88772912
Mean20237788
Median Absolute Deviation (MAD)177.5
Skewness-1.0690757
Sum1.052365 × 109
Variance16547434
MonotonicityNot monotonic
2024-05-11T03:06:58.367463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
20231201 8
15.4%
20240130 6
 
11.5%
20240101 5
 
9.6%
20240108 3
 
5.8%
20231101 3
 
5.8%
20240301 3
 
5.8%
20240102 3
 
5.8%
20240408 3
 
5.8%
20240201 2
 
3.8%
20240131 1
 
1.9%
Other values (15) 15
28.8%
ValueCountFrequency (%)
20231001 1
 
1.9%
20231024 1
 
1.9%
20231101 3
 
5.8%
20231201 8
15.4%
20231222 1
 
1.9%
20240101 5
9.6%
20240102 3
 
5.8%
20240108 3
 
5.8%
20240126 1
 
1.9%
20240130 6
11.5%
ValueCountFrequency (%)
20240510 1
 
1.9%
20240508 1
 
1.9%
20240502 1
 
1.9%
20240422 1
 
1.9%
20240408 3
5.8%
20240401 1
 
1.9%
20240327 1
 
1.9%
20240326 1
 
1.9%
20240312 1
 
1.9%
20240306 1
 
1.9%
Distinct28
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240575
Minimum20240513
Maximum20240829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-05-11T03:06:58.678245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240513
5-th percentile20240514
Q120240523
median20240529
Q320240610
95-th percentile20240708
Maximum20240829
Range316
Interquartile range (IQR)87.5

Descriptive statistics

Standard deviation72.377892
Coefficient of variation (CV)3.5758813 × 10-6
Kurtosis3.6481064
Mean20240575
Median Absolute Deviation (MAD)15.5
Skewness1.7424222
Sum1.0525099 × 109
Variance5238.5592
MonotonicityNot monotonic
2024-05-11T03:06:59.059881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
20240528 5
 
9.6%
20240527 5
 
9.6%
20240626 4
 
7.7%
20240530 3
 
5.8%
20240513 3
 
5.8%
20240608 3
 
5.8%
20240523 2
 
3.8%
20240610 2
 
3.8%
20240619 2
 
3.8%
20240516 2
 
3.8%
Other values (18) 21
40.4%
ValueCountFrequency (%)
20240513 3
5.8%
20240514 2
 
3.8%
20240516 2
 
3.8%
20240518 1
 
1.9%
20240520 1
 
1.9%
20240521 1
 
1.9%
20240522 2
 
3.8%
20240523 2
 
3.8%
20240525 2
 
3.8%
20240527 5
9.6%
ValueCountFrequency (%)
20240829 1
 
1.9%
20240816 1
 
1.9%
20240712 1
 
1.9%
20240704 1
 
1.9%
20240626 4
7.7%
20240620 1
 
1.9%
20240619 2
3.8%
20240617 1
 
1.9%
20240612 1
 
1.9%
20240610 2
3.8%
Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
09:00
37 
01:00
14 
13:00
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row09:00
2nd row01:00
3rd row09:00
4th row09:00
5th row09:00

Common Values

ValueCountFrequency (%)
09:00 37
71.2%
01:00 14
 
26.9%
13:00 1
 
1.9%

Length

2024-05-11T03:06:59.479218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:06:59.811453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00 37
71.2%
01:00 14
 
26.9%
13:00 1
 
1.9%
Distinct10
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Memory size548.0 B
18:00
26 
17:00
09:00
12:00
 
2
24:00
 
2
Other values (5)

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)3.8%

Sample

1st row18:00
2nd row12:00
3rd row18:00
4th row17:00
5th row09:00

Common Values

ValueCountFrequency (%)
18:00 26
50.0%
17:00 7
 
13.5%
09:00 7
 
13.5%
12:00 2
 
3.8%
24:00 2
 
3.8%
10:00 2
 
3.8%
22:00 2
 
3.8%
14:00 2
 
3.8%
13:00 1
 
1.9%
23:00 1
 
1.9%

Length

2024-05-11T03:07:00.180660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:07:00.595436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18:00 26
50.0%
17:00 7
 
13.5%
09:00 7
 
13.5%
12:00 2
 
3.8%
24:00 2
 
3.8%
10:00 2
 
3.8%
22:00 2
 
3.8%
14:00 2
 
3.8%
13:00 1
 
1.9%
23:00 1
 
1.9%

교육시작일
Real number (ℝ)

Distinct29
Distinct (%)55.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240577
Minimum20240507
Maximum20240903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-05-11T03:07:00.997863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240507
5-th percentile20240515
Q120240524
median20240529
Q320240611
95-th percentile20240710
Maximum20240903
Range396
Interquartile range (IQR)86.75

Descriptive statistics

Standard deviation78.263748
Coefficient of variation (CV)3.8666757 × 10-6
Kurtosis6.0608761
Mean20240577
Median Absolute Deviation (MAD)14.5
Skewness2.1438514
Sum1.05251 × 109
Variance6125.2142
MonotonicityNot monotonic
2024-05-11T03:07:01.409676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
20240527 6
 
11.5%
20240528 5
 
9.6%
20240626 4
 
7.7%
20240523 4
 
7.7%
20240530 3
 
5.8%
20240608 3
 
5.8%
20240513 2
 
3.8%
20240522 2
 
3.8%
20240525 2
 
3.8%
20240610 2
 
3.8%
Other values (19) 19
36.5%
ValueCountFrequency (%)
20240507 1
 
1.9%
20240513 2
 
3.8%
20240516 1
 
1.9%
20240518 1
 
1.9%
20240520 1
 
1.9%
20240521 1
 
1.9%
20240522 2
 
3.8%
20240523 4
7.7%
20240525 2
 
3.8%
20240527 6
11.5%
ValueCountFrequency (%)
20240903 1
 
1.9%
20240820 1
 
1.9%
20240712 1
 
1.9%
20240709 1
 
1.9%
20240627 1
 
1.9%
20240626 4
7.7%
20240625 1
 
1.9%
20240619 1
 
1.9%
20240617 1
 
1.9%
20240612 1
 
1.9%

교육종료일
Real number (ℝ)

Distinct35
Distinct (%)67.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240719
Minimum20240523
Maximum20240927
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-05-11T03:07:01.961294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240523
5-th percentile20240606
Q120240683
median20240716
Q320240747
95-th percentile20240862
Maximum20240927
Range404
Interquartile range (IQR)64.25

Descriptive statistics

Standard deviation85.542389
Coefficient of variation (CV)4.2262525 × 10-6
Kurtosis0.11862733
Mean20240719
Median Absolute Deviation (MAD)51
Skewness0.32539763
Sum1.0525174 × 109
Variance7317.5004
MonotonicityNot monotonic
2024-05-11T03:07:02.650258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
20240716 5
 
9.6%
20240711 3
 
5.8%
20240724 3
 
5.8%
20240808 3
 
5.8%
20240702 2
 
3.8%
20240905 2
 
3.8%
20240720 2
 
3.8%
20240809 2
 
3.8%
20240627 2
 
3.8%
20240727 2
 
3.8%
Other values (25) 26
50.0%
ValueCountFrequency (%)
20240523 1
1.9%
20240601 1
1.9%
20240605 1
1.9%
20240607 1
1.9%
20240610 1
1.9%
20240612 1
1.9%
20240613 1
1.9%
20240617 1
1.9%
20240622 1
1.9%
20240624 1
1.9%
ValueCountFrequency (%)
20240927 1
 
1.9%
20240905 2
3.8%
20240827 1
 
1.9%
20240822 1
 
1.9%
20240820 2
3.8%
20240817 1
 
1.9%
20240809 2
3.8%
20240808 3
5.8%
20240727 2
3.8%
20240724 3
5.8%
Distinct7
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size548.0 B
09:30
20 
19:00
12 
14:00
10:00
14:30
Other values (2)
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)3.8%

Sample

1st row09:30
2nd row10:00
3rd row19:00
4th row19:00
5th row09:30

Common Values

ValueCountFrequency (%)
09:30 20
38.5%
19:00 12
23.1%
14:00 9
17.3%
10:00 6
 
11.5%
14:30 3
 
5.8%
09:20 1
 
1.9%
11:00 1
 
1.9%

Length

2024-05-11T03:07:03.341865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:07:03.728896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:30 20
38.5%
19:00 12
23.1%
14:00 9
17.3%
10:00 6
 
11.5%
14:30 3
 
5.8%
09:20 1
 
1.9%
11:00 1
 
1.9%
Distinct12
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size548.0 B
13:30
14 
22:00
12 
18:00
13:00
17:00
Other values (7)
11 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique3 ?
Unique (%)5.8%

Sample

1st row17:00
2nd row13:00
3rd row22:00
4th row22:00
5th row13:30

Common Values

ValueCountFrequency (%)
13:30 14
26.9%
22:00 12
23.1%
18:00 8
15.4%
13:00 4
 
7.7%
17:00 3
 
5.8%
17:30 2
 
3.8%
16:00 2
 
3.8%
16:30 2
 
3.8%
12:00 2
 
3.8%
13:20 1
 
1.9%
Other values (2) 2
 
3.8%

Length

2024-05-11T03:07:04.341872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
13:30 14
26.9%
22:00 12
23.1%
18:00 8
15.4%
13:00 4
 
7.7%
17:00 3
 
5.8%
17:30 2
 
3.8%
16:00 2
 
3.8%
16:30 2
 
3.8%
12:00 2
 
3.8%
13:20 1
 
1.9%
Other values (2) 2
 
3.8%

교육요일(월)
Boolean

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size184.0 B
True
52 
ValueCountFrequency (%)
True 52
100.0%
2024-05-11T03:07:04.680147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(화)
Boolean

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size184.0 B
True
52 
ValueCountFrequency (%)
True 52
100.0%
2024-05-11T03:07:05.020863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(수)
Boolean

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size184.0 B
True
52 
ValueCountFrequency (%)
True 52
100.0%
2024-05-11T03:07:05.393269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(목)
Boolean

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size184.0 B
True
52 
ValueCountFrequency (%)
True 52
100.0%
2024-05-11T03:07:05.859689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(금)
Boolean

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size184.0 B
True
52 
ValueCountFrequency (%)
True 52
100.0%
2024-05-11T03:07:06.219994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(토)
Boolean

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size184.0 B
True
52 
ValueCountFrequency (%)
True 52
100.0%
2024-05-11T03:07:06.473963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(일)
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)5.9%
Missing35
Missing (%)67.3%
Memory size236.0 B
True
17 
(Missing)
35 
ValueCountFrequency (%)
True 17
32.7%
(Missing) 35
67.3%
2024-05-11T03:07:06.907850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

모집정원
Real number (ℝ)

Distinct6
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.961538
Minimum12
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-05-11T03:07:07.540423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile12
Q115
median16
Q318
95-th percentile20
Maximum20
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.5434386
Coefficient of variation (CV)0.15934796
Kurtosis-0.81638014
Mean15.961538
Median Absolute Deviation (MAD)2
Skewness0.02239658
Sum830
Variance6.4690799
MonotonicityNot monotonic
2024-05-11T03:07:07.993980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
16 13
25.0%
15 11
21.2%
18 9
17.3%
20 8
15.4%
12 8
15.4%
13 3
 
5.8%
ValueCountFrequency (%)
12 8
15.4%
13 3
 
5.8%
15 11
21.2%
16 13
25.0%
18 9
17.3%
20 8
15.4%
ValueCountFrequency (%)
20 8
15.4%
18 9
17.3%
16 13
25.0%
15 11
21.2%
13 3
 
5.8%
12 8
15.4%
Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
0
27 
5
22 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row5
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 27
51.9%
5 22
42.3%
6 3
 
5.8%

Length

2024-05-11T03:07:08.566049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:07:09.015727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
51.9%
5 22
42.3%
6 3
 
5.8%

수강료(원)
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141641.54
Minimum0
Maximum806400
Zeros6
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-05-11T03:07:09.494421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q197200
median120000
Q3166400
95-th percentile291600
Maximum806400
Range806400
Interquartile range (IQR)69200

Descriptive statistics

Standard deviation121637.55
Coefficient of variation (CV)0.85877032
Kurtosis16.96955
Mean141641.54
Median Absolute Deviation (MAD)44160
Skewness3.2559001
Sum7365360
Variance1.4795693 × 1010
MonotonicityNot monotonic
2024-05-11T03:07:10.043675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
100000 8
15.4%
0 6
11.5%
164160 4
 
7.7%
291600 3
 
5.8%
64800 3
 
5.8%
240000 3
 
5.8%
143640 3
 
5.8%
120000 3
 
5.8%
97200 3
 
5.8%
229520 3
 
5.8%
Other values (12) 13
25.0%
ValueCountFrequency (%)
0 6
11.5%
41710 1
 
1.9%
51000 1
 
1.9%
60000 1
 
1.9%
64800 3
 
5.8%
97200 3
 
5.8%
100000 8
15.4%
108000 1
 
1.9%
116190 1
 
1.9%
120000 3
 
5.8%
ValueCountFrequency (%)
806400 1
 
1.9%
291600 3
5.8%
240000 3
5.8%
229520 3
5.8%
180000 1
 
1.9%
178740 1
 
1.9%
173120 1
 
1.9%
164160 4
7.7%
161640 2
3.8%
160000 1
 
1.9%
Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size184.0 B
True
47 
False
ValueCountFrequency (%)
True 47
90.4%
False 5
 
9.6%
2024-05-11T03:07:10.459486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size184.0 B
True
47 
False
ValueCountFrequency (%)
True 47
90.4%
False 5
 
9.6%
2024-05-11T03:07:10.737562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

상세정보 주소
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2024-05-11T03:07:11.671846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length92
Mean length92
Min length92

Characters and Unicode

Total characters4784
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

Unique52 ?
Unique (%)100.0%

Sample

1st rowhttps://dongjak.seoulwomanup.or.kr/dongjak/edu/selectEduProgram.do?sch_class_code=C100142123
2nd rowhttps://dongjak.seoulwomanup.or.kr/dongjak/edu/selectEduProgram.do?sch_class_code=C100142110
3rd rowhttps://dongjak.seoulwomanup.or.kr/dongjak/edu/selectEduProgram.do?sch_class_code=C100141984
4th rowhttps://dongjak.seoulwomanup.or.kr/dongjak/edu/selectEduProgram.do?sch_class_code=C100141980
5th rowhttps://dongjak.seoulwomanup.or.kr/dongjak/edu/selectEduProgram.do?sch_class_code=C100141912
ValueCountFrequency (%)
https://dongjak.seoulwomanup.or.kr/dongjak/edu/selecteduprogram.do?sch_class_code=c100142123 1
 
1.9%
https://dongjak.seoulwomanup.or.kr/dongjak/edu/selecteduprogram.do?sch_class_code=c100142110 1
 
1.9%
https://dongjak.seoulwomanup.or.kr/dongjak/edu/selecteduprogram.do?sch_class_code=c100141534 1
 
1.9%
https://dongjak.seoulwomanup.or.kr/dongjak/edu/selecteduprogram.do?sch_class_code=c100141926 1
 
1.9%
https://dongjak.seoulwomanup.or.kr/dongjak/edu/selecteduprogram.do?sch_class_code=c100141823 1
 
1.9%
https://dongjak.seoulwomanup.or.kr/dongjak/edu/selecteduprogram.do?sch_class_code=c100141689 1
 
1.9%
https://dongjak.seoulwomanup.or.kr/dongjak/edu/selecteduprogram.do?sch_class_code=c100141535 1
 
1.9%
https://dongjak.seoulwomanup.or.kr/dongjak/edu/selecteduprogram.do?sch_class_code=c100141909 1
 
1.9%
https://dongjak.seoulwomanup.or.kr/dongjak/edu/selecteduprogram.do?sch_class_code=c100141908 1
 
1.9%
https://dongjak.seoulwomanup.or.kr/dongjak/edu/selecteduprogram.do?sch_class_code=c100141836 1
 
1.9%
Other values (42) 42
80.8%
2024-05-11T03:07:13.121852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 416
 
8.7%
s 312
 
6.5%
d 312
 
6.5%
/ 260
 
5.4%
e 260
 
5.4%
a 260
 
5.4%
. 208
 
4.3%
c 208
 
4.3%
u 208
 
4.3%
r 208
 
4.3%
Other values (27) 2132
44.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3432
71.7%
Other Punctuation 572
 
12.0%
Decimal Number 468
 
9.8%
Uppercase Letter 156
 
3.3%
Connector Punctuation 104
 
2.2%
Math Symbol 52
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 416
12.1%
s 312
 
9.1%
d 312
 
9.1%
e 260
 
7.6%
a 260
 
7.6%
c 208
 
6.1%
u 208
 
6.1%
r 208
 
6.1%
g 156
 
4.5%
l 156
 
4.5%
Other values (8) 936
27.3%
Decimal Number
ValueCountFrequency (%)
1 153
32.7%
0 123
26.3%
4 50
 
10.7%
3 32
 
6.8%
8 31
 
6.6%
9 25
 
5.3%
2 17
 
3.6%
5 13
 
2.8%
7 12
 
2.6%
6 12
 
2.6%
Other Punctuation
ValueCountFrequency (%)
/ 260
45.5%
. 208
36.4%
: 52
 
9.1%
? 52
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
C 52
33.3%
E 52
33.3%
P 52
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 104
100.0%
Math Symbol
ValueCountFrequency (%)
= 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3588
75.0%
Common 1196
 
25.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 416
 
11.6%
s 312
 
8.7%
d 312
 
8.7%
e 260
 
7.2%
a 260
 
7.2%
c 208
 
5.8%
u 208
 
5.8%
r 208
 
5.8%
g 156
 
4.3%
l 156
 
4.3%
Other values (11) 1092
30.4%
Common
ValueCountFrequency (%)
/ 260
21.7%
. 208
17.4%
1 153
12.8%
0 123
10.3%
_ 104
 
8.7%
: 52
 
4.3%
= 52
 
4.3%
? 52
 
4.3%
4 50
 
4.2%
3 32
 
2.7%
Other values (6) 110
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4784
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 416
 
8.7%
s 312
 
6.5%
d 312
 
6.5%
/ 260
 
5.4%
e 260
 
5.4%
a 260
 
5.4%
. 208
 
4.3%
c 208
 
4.3%
u 208
 
4.3%
r 208
 
4.3%
Other values (27) 2132
44.6%

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
0C100142123요양보호사 자격증 취득(신규자반)18동작여성인력개발센터C자격202310242024071209:0018:00202407122024092709:3017:00YYYYYY<NA>200806400YYhttps://dongjak.seoulwomanup.or.kr/dongjak/edu/selectEduProgram.do?sch_class_code=C100142123
1C100142110중식조리기능사 실기18동작여성인력개발센터C자격202312012024052201:0012:00202405222024070510:0013:00YYYYYY<NA>160143640YYhttps://dongjak.seoulwomanup.or.kr/dongjak/edu/selectEduProgram.do?sch_class_code=C100142110
2C100141984인사노무실무(급여관리/4대보험)18동작여성인력개발센터J초급202405082024060409:0018:00202406042024070219:0022:00YYYYYY<NA>15551000YYhttps://dongjak.seoulwomanup.or.kr/dongjak/edu/selectEduProgram.do?sch_class_code=C100141984
3C100141980떡제조기능사(이론+실기)18동작여성인력개발센터C자격202402012024052709:0017:00202405272024071619:0022:00YYYYYY<NA>130229520YYhttps://dongjak.seoulwomanup.or.kr/dongjak/edu/selectEduProgram.do?sch_class_code=C100141980
4C100141912원더풀!마이라이프(8기)- 취업대비교육 집단상담18동작여성인력개발센터N관계없음202401302024060709:0009:00202406112024061309:3013:30YYYYYY<NA>1500YYhttps://dongjak.seoulwomanup.or.kr/dongjak/edu/selectEduProgram.do?sch_class_code=C100141912
5C100141911원더풀!마이라이프(12기)- 취업대비교육 집단상담18동작여성인력개발센터N관계없음202401302024082909:0009:00202409032024090509:3013:30YYYYYY<NA>1500YYhttps://dongjak.seoulwomanup.or.kr/dongjak/edu/selectEduProgram.do?sch_class_code=C100141911
6C100141910원더풀!마이라이프(10기)- 취업대비교육 집단상담18동작여성인력개발센터N관계없음202401302024070409:0009:00202407092024071109:3013:30YYYYYY<NA>1500YYhttps://dongjak.seoulwomanup.or.kr/dongjak/edu/selectEduProgram.do?sch_class_code=C100141910
7C100141872정리수납전문가(정리수납컨설턴트)18동작여성인력개발센터C자격202312012024061709:0018:00202406172024072219:0022:00YYYYYY<NA>15541710YYhttps://dongjak.seoulwomanup.or.kr/dongjak/edu/selectEduProgram.do?sch_class_code=C100141872
8C100141835중식조리기능사 실기18동작여성인력개발센터C자격202312012024061009:0017:00202406102024070914:3017:30YYYYYY<NA>160143640YYhttps://dongjak.seoulwomanup.or.kr/dongjak/edu/selectEduProgram.do?sch_class_code=C100141835
9C100141827한식조리기능사 실기18동작여성인력개발센터C자격202312012024060301:0013:00202406032024070109:2013:20YYYYYY<NA>160164160YYhttps://dongjak.seoulwomanup.or.kr/dongjak/edu/selectEduProgram.do?sch_class_code=C100141827
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
42C100138843영유아돌보미(베이비시터)18동작여성인력개발센터C자격202401082024052009:0009:00202405202024060514:0018:00YYYYYYY155100000YYhttps://dongjak.seoulwomanup.or.kr/dongjak/edu/selectEduProgram.do?sch_class_code=C100138843
43C100138841[마음치유] 자연을 마시다, 꽃차 소믈리에18동작여성인력개발센터N관계없음202401022024052309:0018:00202405232024071810:0013:00YYYYYYY126160000YYhttps://dongjak.seoulwomanup.or.kr/dongjak/edu/selectEduProgram.do?sch_class_code=C100138841
44C100138837[나만의 향기 만들기] 캔들 테라피18동작여성인력개발센터Z고급.중급.초급202312222024052209:0018:00202405222024061210:0012:00YYYYYYY12560000YYhttps://dongjak.seoulwomanup.or.kr/dongjak/edu/selectEduProgram.do?sch_class_code=C100138837
45C100138836[핸드메이드] 쁘띠 프랑스자수18동작여성인력개발센터Z고급.중급.초급202401012024052309:0018:00202405232024080814:3016:30YYYYYYY125120000YYhttps://dongjak.seoulwomanup.or.kr/dongjak/edu/selectEduProgram.do?sch_class_code=C100138836
46C100141829쉽고 맛있는 일본 가정식 요리18동작여성인력개발센터A초중급202312012024062601:0012:00202406262024080914:3017:30YYYYYY<NA>160173120YYhttps://dongjak.seoulwomanup.or.kr/dongjak/edu/selectEduProgram.do?sch_class_code=C100141829
47C100139009파이썬 기초와 빅데이터 입문18동작여성인력개발센터J초급202403272024062601:0018:00202406262024071609:3013:30YYYYYYY185178740YYhttps://dongjak.seoulwomanup.or.kr/dongjak/edu/selectEduProgram.do?sch_class_code=C100139009
48C100138845[수학지도사] 초등 저학년18동작여성인력개발센터J초급202401082024052809:0018:00202405282024070210:0013:00YYYYYYY126180000YYhttps://dongjak.seoulwomanup.or.kr/dongjak/edu/selectEduProgram.do?sch_class_code=C100138845
49C100141389★NEW★ 나도 작가: 나만의 자서전 쓰기18동작여성인력개발센터N관계없음202403262024053001:0018:00202405302024071110:0012:00YYYYYY<NA>125100000YYhttps://dongjak.seoulwomanup.or.kr/dongjak/edu/selectEduProgram.do?sch_class_code=C100141389
50C100141082[여가부지원]차세대웹기획실무자양성(빅데이터 플랫폼 중심)18동작여성인력개발센터N관계없음202404222024052109:0017:00202405272024082709:3013:30YYYYYY<NA>200100000NNhttps://dongjak.seoulwomanup.or.kr/dongjak/edu/selectEduProgram.do?sch_class_code=C100141082
51C100132255ITQ(한글)18동작여성인력개발센터J초급202401012024052509:0018:00202405252024072014:0018:00YYYYYYY18597200YYhttps://dongjak.seoulwomanup.or.kr/dongjak/edu/selectEduProgram.do?sch_class_code=C100132255