Overview

Dataset statistics

Number of variables27
Number of observations30
Missing cells11
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.7 KiB
Average record size in memory228.4 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-2289/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) has constant value ""Constant
접수방법(온라인접수여부Y,N) has constant value ""Constant
교육요일(일) has 11 (36.7%) missing valuesMissing
강좌코드 has unique valuesUnique
강좌명 has unique valuesUnique
상세정보 주소 has unique valuesUnique
수강료(원) has 9 (30.0%) zerosZeros

Reproduction

Analysis started2024-05-04 00:24:07.805625
Analysis finished2024-05-04 00:24:08.550015
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

강좌코드
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-05-04T00:24:08.894348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters300
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

Unique30 ?
Unique (%)100.0%

Sample

1st rowC100141509
2nd rowC100140870
3rd rowC100140869
4th rowC100140863
5th rowC100140861
ValueCountFrequency (%)
c100141509 1
 
3.3%
c100140870 1
 
3.3%
c100141855 1
 
3.3%
c100140840 1
 
3.3%
c100140867 1
 
3.3%
c100140875 1
 
3.3%
c100140899 1
 
3.3%
c100141492 1
 
3.3%
c100141572 1
 
3.3%
c100139095 1
 
3.3%
Other values (20) 20
66.7%
2024-05-04T00:24:09.991389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 85
28.3%
1 73
24.3%
4 37
12.3%
C 30
 
10.0%
8 21
 
7.0%
9 13
 
4.3%
2 9
 
3.0%
5 8
 
2.7%
7 8
 
2.7%
6 8
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 270
90.0%
Uppercase Letter 30
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 85
31.5%
1 73
27.0%
4 37
13.7%
8 21
 
7.8%
9 13
 
4.8%
2 9
 
3.3%
5 8
 
3.0%
7 8
 
3.0%
6 8
 
3.0%
3 8
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
C 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 270
90.0%
Latin 30
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 85
31.5%
1 73
27.0%
4 37
13.7%
8 21
 
7.8%
9 13
 
4.8%
2 9
 
3.3%
5 8
 
3.0%
7 8
 
3.0%
6 8
 
3.0%
3 8
 
3.0%
Latin
ValueCountFrequency (%)
C 30
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 85
28.3%
1 73
24.3%
4 37
12.3%
C 30
 
10.0%
8 21
 
7.0%
9 13
 
4.3%
2 9
 
3.0%
5 8
 
2.7%
7 8
 
2.7%
6 8
 
2.7%

강좌명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-05-04T00:24:10.732155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length24.5
Mean length19.9
Min length8

Characters and Unicode

Total characters597
Distinct characters167
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row집단상담프로그램 8기(기본)
2nd row(단기) 친환경제품제작 전문가(생활용품) 5월
3rd row(단기) (비대면)부동산 경매 실전
4th row(단기) 커피바리스타 2급 자격증 6월
5th row(단기) 커피바리스타 2급 자격증 6월(야간)
ValueCountFrequency (%)
단기 10
 
10.4%
커피바리스타 4
 
4.2%
5월 4
 
4.2%
자격증 4
 
4.2%
2급 4
 
4.2%
집단상담프로그램 3
 
3.1%
단기)(비대면)챗gpt 2
 
2.1%
핸드드립(커피브루잉 2
 
2.1%
6월 2
 
2.1%
제작 2
 
2.1%
Other values (57) 59
61.5%
2024-05-04T00:24:11.576142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66
 
11.1%
) 34
 
5.7%
( 34
 
5.7%
단 22
 
3.7%
기 21
 
3.5%
스 10
 
1.7%
리 9
 
1.5%
[ 8
 
1.3%
] 8
 
1.3%
경 8
 
1.3%
Other values (157) 377
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 391
65.5%
Space Separator 66
 
11.1%
Close Punctuation 42
 
7.0%
Open Punctuation 42
 
7.0%
Decimal Number 23
 
3.9%
Uppercase Letter 18
 
3.0%
Math Symbol 6
 
1.0%
Other Punctuation 5
 
0.8%
Lowercase Letter 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
단 22
 
5.6%
기 21
 
5.4%
스 10
 
2.6%
리 9
 
2.3%
경 8
 
2.0%
월 8
 
2.0%
커 8
 
2.0%
피 7
 
1.8%
대 6
 
1.5%
타 6
 
1.5%
Other values (129) 286
73.1%
Decimal Number
ValueCountFrequency (%)
5 7
30.4%
6 5
21.7%
2 5
21.7%
8 2
 
8.7%
7 2
 
8.7%
3 1
 
4.3%
9 1
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
G 5
27.8%
P 5
27.8%
T 5
27.8%
I 1
 
5.6%
A 1
 
5.6%
M 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
h 1
25.0%
t 1
25.0%
w 1
25.0%
s 1
25.0%
Math Symbol
ValueCountFrequency (%)
> 2
33.3%
+ 2
33.3%
< 2
33.3%
Other Punctuation
ValueCountFrequency (%)
. 2
40.0%
& 2
40.0%
, 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 34
81.0%
] 8
 
19.0%
Open Punctuation
ValueCountFrequency (%)
( 34
81.0%
[ 8
 
19.0%
Space Separator
ValueCountFrequency (%)
66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 391
65.5%
Common 184
30.8%
Latin 22
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
단 22
 
5.6%
기 21
 
5.4%
스 10
 
2.6%
리 9
 
2.3%
경 8
 
2.0%
월 8
 
2.0%
커 8
 
2.0%
피 7
 
1.8%
대 6
 
1.5%
타 6
 
1.5%
Other values (129) 286
73.1%
Common
ValueCountFrequency (%)
66
35.9%
) 34
18.5%
( 34
18.5%
[ 8
 
4.3%
] 8
 
4.3%
5 7
 
3.8%
6 5
 
2.7%
2 5
 
2.7%
8 2
 
1.1%
7 2
 
1.1%
Other values (8) 13
 
7.1%
Latin
ValueCountFrequency (%)
G 5
22.7%
P 5
22.7%
T 5
22.7%
I 1
 
4.5%
A 1
 
4.5%
M 1
 
4.5%
h 1
 
4.5%
t 1
 
4.5%
w 1
 
4.5%
s 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 391
65.5%
ASCII 206
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
66
32.0%
) 34
16.5%
( 34
16.5%
[ 8
 
3.9%
] 8
 
3.9%
5 7
 
3.4%
G 5
 
2.4%
6 5
 
2.4%
2 5
 
2.4%
P 5
 
2.4%
Other values (18) 29
14.1%
Hangul
ValueCountFrequency (%)
단 22
 
5.6%
기 21
 
5.4%
스 10
 
2.6%
리 9
 
2.3%
경 8
 
2.0%
월 8
 
2.0%
커 8
 
2.0%
피 7
 
1.8%
대 6
 
1.5%
타 6
 
1.5%
Other values (129) 286
73.1%

기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
4
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 30
100.0%

Length

2024-05-04T00:24:12.066962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:24:12.422248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 30
100.0%

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
남부여성발전센터
30 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남부여성발전센터 30
100.0%

Length

2024-05-04T00:24:12.729385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:24:13.152113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남부여성발전센터 30
100.0%

난이도코드
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
J
11 
N
8 
C
6 
M
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
J 11
36.7%
N 8
26.7%
C 6
20.0%
M 5
16.7%

Length

2024-05-04T00:24:13.669467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:24:13.985912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
j 11
36.7%
n 8
26.7%
c 6
20.0%
m 5
16.7%

난이도명
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
초급
11 
관계없음
8 
자격
6 
중급
5 

Length

Max length4
Median length2
Mean length2.5333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
초급 11
36.7%
관계없음 8
26.7%
자격 6
20.0%
중급 5
16.7%

Length

2024-05-04T00:24:14.322617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:24:14.567947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초급 11
36.7%
관계없음 8
26.7%
자격 6
20.0%
중급 5
16.7%

수강신청 접수시작일
Real number (ℝ)

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240351
Minimum20240311
Maximum20240502
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-04T00:24:14.771738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240311
5-th percentile20240311
Q120240311
median20240311
Q320240403
95-th percentile20240427
Maximum20240502
Range191
Interquartile range (IQR)91.75

Descriptive statistics

Standard deviation55.972089
Coefficient of variation (CV)2.7653714 × 10-6
Kurtosis-0.20064308
Mean20240351
Median Absolute Deviation (MAD)0
Skewness0.98015425
Sum6.0721054 × 108
Variance3132.8747
MonotonicityNot monotonic
2024-05-04T00:24:15.041424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20240311 18
60.0%
20240409 2
 
6.7%
20240425 2
 
6.7%
20240401 2
 
6.7%
20240403 1
 
3.3%
20240415 1
 
3.3%
20240318 1
 
3.3%
20240402 1
 
3.3%
20240502 1
 
3.3%
20240429 1
 
3.3%
ValueCountFrequency (%)
20240311 18
60.0%
20240318 1
 
3.3%
20240401 2
 
6.7%
20240402 1
 
3.3%
20240403 1
 
3.3%
20240409 2
 
6.7%
20240415 1
 
3.3%
20240425 2
 
6.7%
20240429 1
 
3.3%
20240502 1
 
3.3%
ValueCountFrequency (%)
20240502 1
 
3.3%
20240429 1
 
3.3%
20240425 2
 
6.7%
20240415 1
 
3.3%
20240409 2
 
6.7%
20240403 1
 
3.3%
20240402 1
 
3.3%
20240401 2
 
6.7%
20240318 1
 
3.3%
20240311 18
60.0%

수강신청 접수종료일
Real number (ℝ)

Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240541
Minimum20240506
Maximum20240620
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-04T00:24:15.396513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240506
5-th percentile20240506
Q120240511
median20240522
Q320240585
95-th percentile20240612
Maximum20240620
Range114
Interquartile range (IQR)74.25

Descriptive statistics

Standard deviation42.185959
Coefficient of variation (CV)2.0842308 × 10-6
Kurtosis-0.82010395
Mean20240541
Median Absolute Deviation (MAD)11.5
Skewness1.0326851
Sum6.0721623 × 108
Variance1779.6552
MonotonicityNot monotonic
2024-05-04T00:24:15.728443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
20240603 3
 
10.0%
20240517 2
 
6.7%
20240507 2
 
6.7%
20240508 2
 
6.7%
20240516 2
 
6.7%
20240510 2
 
6.7%
20240524 2
 
6.7%
20240506 2
 
6.7%
20240531 2
 
6.7%
20240610 2
 
6.7%
Other values (9) 9
30.0%
ValueCountFrequency (%)
20240506 2
6.7%
20240507 2
6.7%
20240508 2
6.7%
20240510 2
6.7%
20240513 1
3.3%
20240514 1
3.3%
20240516 2
6.7%
20240517 2
6.7%
20240521 1
3.3%
20240522 1
3.3%
ValueCountFrequency (%)
20240620 1
 
3.3%
20240614 1
 
3.3%
20240610 2
6.7%
20240606 1
 
3.3%
20240603 3
10.0%
20240531 2
6.7%
20240530 1
 
3.3%
20240524 2
6.7%
20240523 1
 
3.3%
20240522 1
 
3.3%

수강신청 접수시작시간
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
10:00
22 
09:00
8 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
10:00 22
73.3%
09:00 8
 
26.7%

Length

2024-05-04T00:24:16.080023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:24:16.293882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10:00 22
73.3%
09:00 8
 
26.7%

수강신청 접수마감시간
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
12:00
17 
18:00
10 
10:00
3 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10:00
2nd row12:00
3rd row12:00
4th row12:00
5th row12:00

Common Values

ValueCountFrequency (%)
12:00 17
56.7%
18:00 10
33.3%
10:00 3
 
10.0%

Length

2024-05-04T00:24:16.510763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:24:16.738744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
12:00 17
56.7%
18:00 10
33.3%
10:00 3
 
10.0%

교육시작일
Real number (ℝ)

Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240541
Minimum20240325
Maximum20240626
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-04T00:24:16.975059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240325
5-th percentile20240507
Q120240513
median20240522
Q320240604
95-th percentile20240613
Maximum20240626
Range301
Interquartile range (IQR)90.75

Descriptive statistics

Standard deviation60.325258
Coefficient of variation (CV)2.9804173 × 10-6
Kurtosis4.4007631
Mean20240541
Median Absolute Deviation (MAD)13
Skewness-1.2087795
Sum6.0721623 × 108
Variance3639.1368
MonotonicityNot monotonic
2024-05-04T00:24:17.337485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
20240520 3
 
10.0%
20240513 3
 
10.0%
20240527 3
 
10.0%
20240604 2
 
6.7%
20240611 2
 
6.7%
20240603 2
 
6.7%
20240507 2
 
6.7%
20240508 2
 
6.7%
20240521 1
 
3.3%
20240509 1
 
3.3%
Other values (9) 9
30.0%
ValueCountFrequency (%)
20240325 1
 
3.3%
20240507 2
6.7%
20240508 2
6.7%
20240509 1
 
3.3%
20240513 3
10.0%
20240514 1
 
3.3%
20240517 1
 
3.3%
20240520 3
10.0%
20240521 1
 
3.3%
20240522 1
 
3.3%
ValueCountFrequency (%)
20240626 1
 
3.3%
20240615 1
 
3.3%
20240611 2
6.7%
20240608 1
 
3.3%
20240605 1
 
3.3%
20240604 2
6.7%
20240603 2
6.7%
20240527 3
10.0%
20240523 1
 
3.3%
20240522 1
 
3.3%

교육종료일
Real number (ℝ)

Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240601
Minimum20240510
Maximum20240813
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-04T00:24:17.692875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240510
5-th percentile20240515
Q120240525
median20240620
Q320240626
95-th percentile20240723
Maximum20240813
Range303
Interquartile range (IQR)101.25

Descriptive statistics

Standard deviation74.868498
Coefficient of variation (CV)3.6989267 × 10-6
Kurtosis0.78495986
Mean20240601
Median Absolute Deviation (MAD)49
Skewness0.78752795
Sum6.0721802 × 108
Variance5605.292
MonotonicityNot monotonic
2024-05-04T00:24:18.054932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
20240623 3
 
10.0%
20240626 2
 
6.7%
20240627 2
 
6.7%
20240523 2
 
6.7%
20240527 2
 
6.7%
20240605 2
 
6.7%
20240720 1
 
3.3%
20240521 1
 
3.3%
20240528 1
 
3.3%
20240618 1
 
3.3%
Other values (13) 13
43.3%
ValueCountFrequency (%)
20240510 1
3.3%
20240513 1
3.3%
20240517 1
3.3%
20240520 1
3.3%
20240521 1
3.3%
20240523 2
6.7%
20240524 1
3.3%
20240527 2
6.7%
20240528 1
3.3%
20240605 2
6.7%
ValueCountFrequency (%)
20240813 1
 
3.3%
20240726 1
 
3.3%
20240720 1
 
3.3%
20240703 1
 
3.3%
20240630 1
 
3.3%
20240627 2
6.7%
20240626 2
6.7%
20240625 1
 
3.3%
20240624 1
 
3.3%
20240623 3
10.0%

교육시작시간
Categorical

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
10:00
7 
09:30
6 
14:00
5 
18:30
5 
19:00
3 
Other values (4)
4 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique4 ?
Unique (%)13.3%

Sample

1st row09:30
2nd row10:00
3rd row15:00
4th row14:00
5th row18:30

Common Values

ValueCountFrequency (%)
10:00 7
23.3%
09:30 6
20.0%
14:00 5
16.7%
18:30 5
16.7%
19:00 3
10.0%
15:00 1
 
3.3%
09:00 1
 
3.3%
13:30 1
 
3.3%
14:30 1
 
3.3%

Length

2024-05-04T00:24:18.471154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:24:18.788395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10:00 7
23.3%
09:30 6
20.0%
14:00 5
16.7%
18:30 5
16.7%
19:00 3
10.0%
15:00 1
 
3.3%
09:00 1
 
3.3%
13:30 1
 
3.3%
14:30 1
 
3.3%

교육종료시간
Categorical

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
21:30
7 
13:00
6 
17:00
5 
13:30
4 
17:30
2 
Other values (6)
6 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique6 ?
Unique (%)20.0%

Sample

1st row13:30
2nd row12:00
3rd row17:30
4th row17:00
5th row21:30

Common Values

ValueCountFrequency (%)
21:30 7
23.3%
13:00 6
20.0%
17:00 5
16.7%
13:30 4
13.3%
17:30 2
 
6.7%
12:00 1
 
3.3%
19:00 1
 
3.3%
21:00 1
 
3.3%
16:30 1
 
3.3%
15:30 1
 
3.3%

Length

2024-05-04T00:24:19.196008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
21:30 7
23.3%
13:00 6
20.0%
17:00 5
16.7%
13:30 4
13.3%
17:30 2
 
6.7%
12:00 1
 
3.3%
19:00 1
 
3.3%
21:00 1
 
3.3%
16:30 1
 
3.3%
15:30 1
 
3.3%

교육요일(월)
Boolean

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size162.0 B
True
30 
ValueCountFrequency (%)
True 30
100.0%
2024-05-04T00:24:19.495052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(화)
Boolean

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size162.0 B
True
30 
ValueCountFrequency (%)
True 30
100.0%
2024-05-04T00:24:19.732212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(수)
Boolean

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size162.0 B
True
30 
ValueCountFrequency (%)
True 30
100.0%
2024-05-04T00:24:19.964673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(목)
Boolean

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size162.0 B
True
30 
ValueCountFrequency (%)
True 30
100.0%
2024-05-04T00:24:20.199930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(금)
Boolean

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size162.0 B
True
30 
ValueCountFrequency (%)
True 30
100.0%
2024-05-04T00:24:20.580645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(토)
Boolean

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size162.0 B
True
30 
ValueCountFrequency (%)
True 30
100.0%
2024-05-04T00:24:20.824468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(일)
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)5.3%
Missing11
Missing (%)36.7%
Memory size192.0 B
True
19 
(Missing)
11 
ValueCountFrequency (%)
True 19
63.3%
(Missing) 11
36.7%
2024-05-04T00:24:21.083727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

모집정원
Real number (ℝ)

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.633333
Minimum12
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-04T00:24:21.377128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile12
Q115
median18
Q320
95-th percentile22.2
Maximum24
Range12
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.2322015
Coefficient of variation (CV)0.18330065
Kurtosis-0.59768382
Mean17.633333
Median Absolute Deviation (MAD)2
Skewness-0.0068468385
Sum529
Variance10.447126
MonotonicityNot monotonic
2024-05-04T00:24:21.745430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20 12
40.0%
15 7
23.3%
16 4
 
13.3%
12 3
 
10.0%
24 2
 
6.7%
18 2
 
6.7%
ValueCountFrequency (%)
12 3
 
10.0%
15 7
23.3%
16 4
 
13.3%
18 2
 
6.7%
20 12
40.0%
24 2
 
6.7%
ValueCountFrequency (%)
24 2
 
6.7%
20 12
40.0%
18 2
 
6.7%
16 4
 
13.3%
15 7
23.3%
12 3
 
10.0%

예비자모집인원
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
3
10 
4
9 
5
6 
10
4 
0
 
1

Length

Max length2
Median length1
Mean length1.1333333
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row3
2nd row4
3rd row4
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 10
33.3%
4 9
30.0%
5 6
20.0%
10 4
 
13.3%
0 1
 
3.3%

Length

2024-05-04T00:24:22.411848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:24:22.774759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 10
33.3%
4 9
30.0%
5 6
20.0%
10 4
 
13.3%
0 1
 
3.3%

수강료(원)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56000
Minimum0
Maximum210000
Zeros9
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-04T00:24:23.283802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median50000
Q380000
95-th percentile144000
Maximum210000
Range210000
Interquartile range (IQR)80000

Descriptive statistics

Standard deviation51868.534
Coefficient of variation (CV)0.92622382
Kurtosis1.928976
Mean56000
Median Absolute Deviation (MAD)40000
Skewness1.1224948
Sum1680000
Variance2.6903448 × 109
MonotonicityNot monotonic
2024-05-04T00:24:23.634306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 9
30.0%
50000 5
16.7%
75000 4
13.3%
90000 4
13.3%
80000 2
 
6.7%
30000 2
 
6.7%
60000 1
 
3.3%
210000 1
 
3.3%
180000 1
 
3.3%
100000 1
 
3.3%
ValueCountFrequency (%)
0 9
30.0%
30000 2
 
6.7%
50000 5
16.7%
60000 1
 
3.3%
75000 4
13.3%
80000 2
 
6.7%
90000 4
13.3%
100000 1
 
3.3%
180000 1
 
3.3%
210000 1
 
3.3%
ValueCountFrequency (%)
210000 1
 
3.3%
180000 1
 
3.3%
100000 1
 
3.3%
90000 4
13.3%
80000 2
 
6.7%
75000 4
13.3%
60000 1
 
3.3%
50000 5
16.7%
30000 2
 
6.7%
0 9
30.0%

접수방법(방문접수여부Y,N)
Boolean

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size162.0 B
True
30 
ValueCountFrequency (%)
True 30
100.0%
2024-05-04T00:24:23.941848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

접수방법(온라인접수여부Y,N)
Boolean

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size162.0 B
True
30 
ValueCountFrequency (%)
True 30
100.0%
2024-05-04T00:24:24.190434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

상세정보 주소
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-05-04T00:24:25.190692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length88
Mean length88
Min length88

Characters and Unicode

Total characters2640
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

Unique30 ?
Unique (%)100.0%

Sample

1st rowhttps://nambu.seoulwomanup.or.kr/nambu/edu/selectEduProgram.do?sch_class_code=C100141509
2nd rowhttps://nambu.seoulwomanup.or.kr/nambu/edu/selectEduProgram.do?sch_class_code=C100140870
3rd rowhttps://nambu.seoulwomanup.or.kr/nambu/edu/selectEduProgram.do?sch_class_code=C100140869
4th rowhttps://nambu.seoulwomanup.or.kr/nambu/edu/selectEduProgram.do?sch_class_code=C100140863
5th rowhttps://nambu.seoulwomanup.or.kr/nambu/edu/selectEduProgram.do?sch_class_code=C100140861
ValueCountFrequency (%)
https://nambu.seoulwomanup.or.kr/nambu/edu/selecteduprogram.do?sch_class_code=c100141509 1
 
3.3%
https://nambu.seoulwomanup.or.kr/nambu/edu/selecteduprogram.do?sch_class_code=c100140870 1
 
3.3%
https://nambu.seoulwomanup.or.kr/nambu/edu/selecteduprogram.do?sch_class_code=c100141855 1
 
3.3%
https://nambu.seoulwomanup.or.kr/nambu/edu/selecteduprogram.do?sch_class_code=c100140840 1
 
3.3%
https://nambu.seoulwomanup.or.kr/nambu/edu/selecteduprogram.do?sch_class_code=c100140867 1
 
3.3%
https://nambu.seoulwomanup.or.kr/nambu/edu/selecteduprogram.do?sch_class_code=c100140875 1
 
3.3%
https://nambu.seoulwomanup.or.kr/nambu/edu/selecteduprogram.do?sch_class_code=c100140899 1
 
3.3%
https://nambu.seoulwomanup.or.kr/nambu/edu/selecteduprogram.do?sch_class_code=c100141492 1
 
3.3%
https://nambu.seoulwomanup.or.kr/nambu/edu/selecteduprogram.do?sch_class_code=c100141572 1
 
3.3%
https://nambu.seoulwomanup.or.kr/nambu/edu/selecteduprogram.do?sch_class_code=c100139095 1
 
3.3%
Other values (20) 20
66.7%
2024-05-04T00:24:26.793250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
u 180
 
6.8%
s 180
 
6.8%
o 180
 
6.8%
/ 150
 
5.7%
e 150
 
5.7%
a 150
 
5.7%
d 120
 
4.5%
c 120
 
4.5%
. 120
 
4.5%
m 120
 
4.5%
Other values (27) 1170
44.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1860
70.5%
Other Punctuation 330
 
12.5%
Decimal Number 270
 
10.2%
Uppercase Letter 90
 
3.4%
Connector Punctuation 60
 
2.3%
Math Symbol 30
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
u 180
 
9.7%
s 180
 
9.7%
o 180
 
9.7%
e 150
 
8.1%
a 150
 
8.1%
d 120
 
6.5%
c 120
 
6.5%
m 120
 
6.5%
r 120
 
6.5%
t 90
 
4.8%
Other values (8) 450
24.2%
Decimal Number
ValueCountFrequency (%)
0 85
31.5%
1 73
27.0%
4 37
13.7%
8 21
 
7.8%
9 13
 
4.8%
2 9
 
3.3%
5 8
 
3.0%
7 8
 
3.0%
6 8
 
3.0%
3 8
 
3.0%
Other Punctuation
ValueCountFrequency (%)
/ 150
45.5%
. 120
36.4%
: 30
 
9.1%
? 30
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
C 30
33.3%
P 30
33.3%
E 30
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 60
100.0%
Math Symbol
ValueCountFrequency (%)
= 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1950
73.9%
Common 690
 
26.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
u 180
 
9.2%
s 180
 
9.2%
o 180
 
9.2%
e 150
 
7.7%
a 150
 
7.7%
d 120
 
6.2%
c 120
 
6.2%
m 120
 
6.2%
r 120
 
6.2%
t 90
 
4.6%
Other values (11) 540
27.7%
Common
ValueCountFrequency (%)
/ 150
21.7%
. 120
17.4%
0 85
12.3%
1 73
10.6%
_ 60
 
8.7%
4 37
 
5.4%
= 30
 
4.3%
: 30
 
4.3%
? 30
 
4.3%
8 21
 
3.0%
Other values (6) 54
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2640
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
u 180
 
6.8%
s 180
 
6.8%
o 180
 
6.8%
/ 150
 
5.7%
e 150
 
5.7%
a 150
 
5.7%
d 120
 
4.5%
c 120
 
4.5%
. 120
 
4.5%
m 120
 
4.5%
Other values (27) 1170
44.3%

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
0C100141509집단상담프로그램 8기(기본)4남부여성발전센터N관계없음202404032024051709:0010:00202405202024052409:3013:30YYYYYY<NA>1530YYhttps://nambu.seoulwomanup.or.kr/nambu/edu/selectEduProgram.do?sch_class_code=C100141509
1C100140870(단기) 친환경제품제작 전문가(생활용품) 5월4남부여성발전센터C자격202403112024052110:0012:00202405222024062510:0012:00YYYYYYY20450000YYhttps://nambu.seoulwomanup.or.kr/nambu/edu/selectEduProgram.do?sch_class_code=C100140870
2C100140869(단기) (비대면)부동산 경매 실전4남부여성발전센터M중급202403112024060310:0012:00202406042024062015:0017:30YYYYYYY20480000YYhttps://nambu.seoulwomanup.or.kr/nambu/edu/selectEduProgram.do?sch_class_code=C100140869
3C100140863(단기) 커피바리스타 2급 자격증 6월4남부여성발전센터C자격202403112024061010:0012:00202406112024062714:0017:00YYYYYYY16375000YYhttps://nambu.seoulwomanup.or.kr/nambu/edu/selectEduProgram.do?sch_class_code=C100140863
4C100140861(단기) 커피바리스타 2급 자격증 6월(야간)4남부여성발전센터C자격202403112024053110:0012:00202406032024061918:3021:30YYYYYYY16375000YYhttps://nambu.seoulwomanup.or.kr/nambu/edu/selectEduProgram.do?sch_class_code=C100140861
5C100140860(단기) 커피바리스타 2급 자격증 5월4남부여성발전센터C자격202403112024050610:0012:00202405072024052310:0013:00YYYYYYY16375000YYhttps://nambu.seoulwomanup.or.kr/nambu/edu/selectEduProgram.do?sch_class_code=C100140860
6C100140824(단기) 커피바리스타 2급 자격증 5월(야간)4남부여성발전센터C자격202403112024050710:0012:00202405082024052718:3021:30YYYYYYY16375000YYhttps://nambu.seoulwomanup.or.kr/nambu/edu/selectEduProgram.do?sch_class_code=C100140824
7C100140821(단기) 양식조리실무(브런치&파스타)4남부여성발전센터J초급202403112024051710:0012:00202405202024062310:0013:00YYYYYYY24550000YYhttps://nambu.seoulwomanup.or.kr/nambu/edu/selectEduProgram.do?sch_class_code=C100140821
8C100141673집단상담프로그램 9기(심화)4남부여성발전센터N관계없음202404152024060309:0010:00202406032024060509:3013:30YYYYYY<NA>1530YYhttps://nambu.seoulwomanup.or.kr/nambu/edu/selectEduProgram.do?sch_class_code=C100141673
9C100141573[경단예방]챗 GPT 업무 활용4남부여성발전센터J초급202404092024053010:0018:00202406052024060518:3021:30YYYYYY<NA>1550YYhttps://nambu.seoulwomanup.or.kr/nambu/edu/selectEduProgram.do?sch_class_code=C100141573
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
20C100141849[내배카]한글, 엑셀 오피스 실무<5.27개강>4남부여성발전센터J초급202404252024052309:0018:00202405272024070319:0021:30YYYYYY<NA>2010180000YYhttps://nambu.seoulwomanup.or.kr/nambu/edu/selectEduProgram.do?sch_class_code=C100141849
21C100139095집단상담프로그램 7기(심화)4남부여성발전센터N관계없음202404012024050709:0010:00202405082024051009:3013:30YYYYYYY1530YYhttps://nambu.seoulwomanup.or.kr/nambu/edu/selectEduProgram.do?sch_class_code=C100139095
22C100141572[경단예방]온라인 홍보물 제작 wth 미리캔버스4남부여성발전센터J초급202404092024050810:0018:00202405132024051318:3021:30YYYYYY<NA>1550YYhttps://nambu.seoulwomanup.or.kr/nambu/edu/selectEduProgram.do?sch_class_code=C100141572
23C100141492M365 엔지니어4남부여성발전센터M중급202404012024051409:0012:00202405202024081309:3013:30YYYYYY<NA>2010100000YYhttps://nambu.seoulwomanup.or.kr/nambu/edu/selectEduProgram.do?sch_class_code=C100141492
24C100140899여름김치 만들기4남부여성발전센터N관계없음202403112024060310:0012:00202406042024061814:0017:00YYYYYYY24530000YYhttps://nambu.seoulwomanup.or.kr/nambu/edu/selectEduProgram.do?sch_class_code=C100140899
25C100140875(단기) 라떼아트와 핸드드립(커피브루잉) 6월4남부여성발전센터J초급202403112024061010:0012:00202406112024062710:0013:00YYYYYYY12390000YYhttps://nambu.seoulwomanup.or.kr/nambu/edu/selectEduProgram.do?sch_class_code=C100140875
26C100140867(단기) (비대면)부동산 경매 입문4남부여성발전센터J초급202403112024050810:0012:00202405092024052814:3017:30YYYYYYY20450000YYhttps://nambu.seoulwomanup.or.kr/nambu/edu/selectEduProgram.do?sch_class_code=C100140867
27C100140840(단기)(비대면)챗GPT AI활용(수익화)4남부여성발전센터M중급202403112024051010:0012:00202405132024052709:3012:30YYYYYYY20450000YYhttps://nambu.seoulwomanup.or.kr/nambu/edu/selectEduProgram.do?sch_class_code=C100140840
28C100141855[경단예방]취업역량강화 이력서&자소서 작성4남부여성발전센터J초급202404292024051610:0018:00202405212024052114:0017:00YYYYYY<NA>1550YYhttps://nambu.seoulwomanup.or.kr/nambu/edu/selectEduProgram.do?sch_class_code=C100141855
29C100140822(단기)라떼아트와 핸드드립(커피브루잉) 5월4남부여성발전센터J초급202403112024050610:0012:00202405072024052314:0017:00YYYYYYY12390000YYhttps://nambu.seoulwomanup.or.kr/nambu/edu/selectEduProgram.do?sch_class_code=C100140822