Overview

Dataset statistics

Number of variables27
Number of observations25
Missing cells9
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.6 KiB
Average record size in memory229.3 B

Variable types

Text3
Categorical10
Numeric5
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-2284/S/1/datasetView.do

Alerts

기관코드 has constant value ""Constant
기관명 has constant value ""Constant
교육요일(월) has constant value ""Constant
교육요일(화) has constant value ""Constant
교육요일(수) has constant value ""Constant
교육요일(목) has constant value ""Constant
교육요일(금) has constant value ""Constant
교육요일(토) has constant value ""Constant
교육요일(일) has constant value ""Constant
접수방법(온라인접수여부Y,N) has constant value ""Constant
수강신청 접수시작시간 is highly imbalanced (69.6%)Imbalance
모집정원 is highly imbalanced (52.4%)Imbalance
교육요일(일) has 9 (36.0%) missing valuesMissing
강좌코드 has unique valuesUnique
강좌명 has unique valuesUnique
상세정보 주소 has unique valuesUnique
수강료(원) has 1 (4.0%) zerosZeros

Reproduction

Analysis started2024-04-21 00:25:19.509541
Analysis finished2024-04-21 00:25:20.062044
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

강좌코드
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-04-21T09:25:20.177514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters250
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

Unique25 ?
Unique (%)100.0%

Sample

1st rowC100141578
2nd rowC100141531
3rd rowC100141503
4th rowC100141485
5th rowC100141433
ValueCountFrequency (%)
c100141578 1
 
4.0%
c100140963 1
 
4.0%
c100138567 1
 
4.0%
c100138507 1
 
4.0%
c100139387 1
 
4.0%
c100140212 1
 
4.0%
c100140359 1
 
4.0%
c100140360 1
 
4.0%
c100140358 1
 
4.0%
c100140928 1
 
4.0%
Other values (15) 15
60.0%
2024-04-21T09:25:20.449866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 66
26.4%
0 65
26.0%
C 25
 
10.0%
3 24
 
9.6%
4 23
 
9.2%
8 12
 
4.8%
5 11
 
4.4%
9 10
 
4.0%
7 6
 
2.4%
6 4
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 225
90.0%
Uppercase Letter 25
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 66
29.3%
0 65
28.9%
3 24
 
10.7%
4 23
 
10.2%
8 12
 
5.3%
5 11
 
4.9%
9 10
 
4.4%
7 6
 
2.7%
6 4
 
1.8%
2 4
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
C 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 225
90.0%
Latin 25
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 66
29.3%
0 65
28.9%
3 24
 
10.7%
4 23
 
10.2%
8 12
 
5.3%
5 11
 
4.9%
9 10
 
4.4%
7 6
 
2.7%
6 4
 
1.8%
2 4
 
1.8%
Latin
ValueCountFrequency (%)
C 25
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 250
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 66
26.4%
0 65
26.0%
C 25
 
10.0%
3 24
 
9.6%
4 23
 
9.2%
8 12
 
4.8%
5 11
 
4.4%
9 10
 
4.0%
7 6
 
2.4%
6 4
 
1.6%

강좌명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-04-21T09:25:20.645598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length26.64
Min length17

Characters and Unicode

Total characters666
Distinct characters167
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row[성동구지원]AI 웹디자인 크리에이터 양성
2nd row[내일배움카드] 6월 인사노무실무(급여관리, 4대보험)
3rd row[서울시지원]점자책출판인 양성과정
4th row[내일배움카드]8월 점역교정사2급자격취득(수학,과학,컴퓨터)
5th row[내일배뭄카드]6월 최신법무실무(등기)입문
ValueCountFrequency (%)
내일배움카드]5월 4
 
5.1%
5월 3
 
3.8%
위한 3
 
3.8%
내일배움카드](오전)5월 2
 
2.6%
입문 2
 
2.6%
함께하는 2
 
2.6%
★new★ 2
 
2.6%
★1일★ 2
 
2.6%
4대보험 2
 
2.6%
인사노무실무(급여관리 2
 
2.6%
Other values (52) 54
69.2%
2024-04-21T09:25:20.958967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
54
 
8.1%
[ 25
 
3.8%
] 25
 
3.8%
월 23
 
3.5%
) 19
 
2.9%
( 19
 
2.9%
일 18
 
2.7%
★ 18
 
2.7%
드 15
 
2.3%
배 15
 
2.3%
Other values (157) 435
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 426
64.0%
Space Separator 54
 
8.1%
Open Punctuation 44
 
6.6%
Close Punctuation 44
 
6.6%
Decimal Number 33
 
5.0%
Uppercase Letter 32
 
4.8%
Other Symbol 18
 
2.7%
Other Punctuation 8
 
1.2%
Lowercase Letter 4
 
0.6%
Math Symbol 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
월 23
 
5.4%
일 18
 
4.2%
드 15
 
3.5%
배 15
 
3.5%
내 15
 
3.5%
카 15
 
3.5%
움 14
 
3.3%
인 13
 
3.1%
자 12
 
2.8%
무 9
 
2.1%
Other values (125) 277
65.0%
Uppercase Letter
ValueCountFrequency (%)
U 6
18.8%
I 5
15.6%
X 3
9.4%
N 3
9.4%
E 3
9.4%
W 3
9.4%
T 2
 
6.2%
G 2
 
6.2%
P 2
 
6.2%
A 2
 
6.2%
Decimal Number
ValueCountFrequency (%)
5 12
36.4%
4 6
18.2%
6 5
15.2%
1 5
15.2%
8 2
 
6.1%
2 2
 
6.1%
3 1
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
t 1
25.0%
a 1
25.0%
h 1
25.0%
s 1
25.0%
Open Punctuation
ValueCountFrequency (%)
[ 25
56.8%
( 19
43.2%
Close Punctuation
ValueCountFrequency (%)
] 25
56.8%
) 19
43.2%
Other Punctuation
ValueCountFrequency (%)
, 5
62.5%
/ 3
37.5%
Space Separator
ValueCountFrequency (%)
54
100.0%
Other Symbol
ValueCountFrequency (%)
★ 18
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 426
64.0%
Common 204
30.6%
Latin 36
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
월 23
 
5.4%
일 18
 
4.2%
드 15
 
3.5%
배 15
 
3.5%
내 15
 
3.5%
카 15
 
3.5%
움 14
 
3.3%
인 13
 
3.1%
자 12
 
2.8%
무 9
 
2.1%
Other values (125) 277
65.0%
Common
ValueCountFrequency (%)
54
26.5%
[ 25
12.3%
] 25
12.3%
) 19
 
9.3%
( 19
 
9.3%
★ 18
 
8.8%
5 12
 
5.9%
4 6
 
2.9%
6 5
 
2.5%
1 5
 
2.5%
Other values (7) 16
 
7.8%
Latin
ValueCountFrequency (%)
U 6
16.7%
I 5
13.9%
X 3
8.3%
N 3
8.3%
E 3
8.3%
W 3
8.3%
T 2
 
5.6%
G 2
 
5.6%
P 2
 
5.6%
A 2
 
5.6%
Other values (5) 5
13.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 426
64.0%
ASCII 222
33.3%
Misc Symbols 18
 
2.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
54
24.3%
[ 25
11.3%
] 25
11.3%
) 19
 
8.6%
( 19
 
8.6%
5 12
 
5.4%
4 6
 
2.7%
U 6
 
2.7%
6 5
 
2.3%
1 5
 
2.3%
Other values (21) 46
20.7%
Hangul
ValueCountFrequency (%)
월 23
 
5.4%
일 18
 
4.2%
드 15
 
3.5%
배 15
 
3.5%
내 15
 
3.5%
카 15
 
3.5%
움 14
 
3.3%
인 13
 
3.1%
자 12
 
2.8%
무 9
 
2.1%
Other values (125) 277
65.0%
Misc Symbols
ValueCountFrequency (%)
★ 18
100.0%

기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
26
25 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row26
2nd row26
3rd row26
4th row26
5th row26

Common Values

ValueCountFrequency (%)
26 25
100.0%

Length

2024-04-21T09:25:21.070720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:25:21.143034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
26 25
100.0%

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
성동여성인력개발센터
25 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성동여성인력개발센터 25
100.0%

Length

2024-04-21T09:25:21.220577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:25:21.292885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성동여성인력개발센터 25
100.0%

난이도코드
Categorical

Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
N
12 
J
5 
C
5 
M
2 
A
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
N 12
48.0%
J 5
20.0%
C 5
20.0%
M 2
 
8.0%
A 1
 
4.0%

Length

2024-04-21T09:25:21.374940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:25:21.458362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 12
48.0%
j 5
20.0%
c 5
20.0%
m 2
 
8.0%
a 1
 
4.0%

난이도명
Categorical

Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
관계없음
12 
초급
5 
자격
5 
중급
2 
초중급
 
1

Length

Max length4
Median length3
Mean length3
Min length2

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
관계없음 12
48.0%
초급 5
20.0%
자격 5
20.0%
중급 2
 
8.0%
초중급 1
 
4.0%

Length

2024-04-21T09:25:21.572319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:25:21.674134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관계없음 12
48.0%
초급 5
20.0%
자격 5
20.0%
중급 2
 
8.0%
초중급 1
 
4.0%

수강신청 접수시작일
Real number (ℝ)

Distinct21
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20239564
Minimum20231211
Maximum20240411
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-21T09:25:21.770295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20231211
5-th percentile20232991
Q120240219
median20240306
Q320240325
95-th percentile20240404
Maximum20240411
Range9200
Interquartile range (IQR)106

Descriptive statistics

Standard deviation2515.0203
Coefficient of variation (CV)0.00012426257
Kurtosis9.6156458
Mean20239564
Median Absolute Deviation (MAD)77
Skewness-3.2917289
Sum5.0598911 × 108
Variance6325326.9
MonotonicityDecreasing
2024-04-21T09:25:21.872668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20240219 3
 
12.0%
20240301 2
 
8.0%
20240307 2
 
8.0%
20240411 1
 
4.0%
20240304 1
 
4.0%
20231211 1
 
4.0%
20231213 1
 
4.0%
20240101 1
 
4.0%
20240117 1
 
4.0%
20240215 1
 
4.0%
Other values (11) 11
44.0%
ValueCountFrequency (%)
20231211 1
 
4.0%
20231213 1
 
4.0%
20240101 1
 
4.0%
20240117 1
 
4.0%
20240215 1
 
4.0%
20240219 3
12.0%
20240229 1
 
4.0%
20240301 2
8.0%
20240304 1
 
4.0%
20240306 1
 
4.0%
ValueCountFrequency (%)
20240411 1
4.0%
20240404 1
4.0%
20240403 1
4.0%
20240402 1
4.0%
20240328 1
4.0%
20240326 1
4.0%
20240325 1
4.0%
20240318 1
4.0%
20240313 1
4.0%
20240311 1
4.0%

수강신청 접수종료일
Real number (ℝ)

Distinct19
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240548
Minimum20240423
Maximum20240827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-21T09:25:21.970663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240423
5-th percentile20240430
Q120240508
median20240516
Q320240610
95-th percentile20240779
Maximum20240827
Range404
Interquartile range (IQR)102

Descriptive statistics

Standard deviation102.11402
Coefficient of variation (CV)5.0450226 × 10-6
Kurtosis2.7097682
Mean20240548
Median Absolute Deviation (MAD)15
Skewness1.5265205
Sum5.0601369 × 108
Variance10427.273
MonotonicityNot monotonic
2024-04-21T09:25:22.075078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
20240508 4
16.0%
20240430 3
 
12.0%
20240618 2
 
8.0%
20240521 1
 
4.0%
20240611 1
 
4.0%
20240501 1
 
4.0%
20240514 1
 
4.0%
20240518 1
 
4.0%
20240423 1
 
4.0%
20240819 1
 
4.0%
Other values (9) 9
36.0%
ValueCountFrequency (%)
20240423 1
 
4.0%
20240430 3
12.0%
20240501 1
 
4.0%
20240508 4
16.0%
20240509 1
 
4.0%
20240510 1
 
4.0%
20240514 1
 
4.0%
20240516 1
 
4.0%
20240518 1
 
4.0%
20240520 1
 
4.0%
ValueCountFrequency (%)
20240827 1
4.0%
20240819 1
4.0%
20240618 2
8.0%
20240612 1
4.0%
20240611 1
4.0%
20240610 1
4.0%
20240603 1
4.0%
20240522 1
4.0%
20240521 1
4.0%
20240520 1
4.0%

수강신청 접수시작시간
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
09:00
23 
12:00
 
1
18:00
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)8.0%

Sample

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

Common Values

ValueCountFrequency (%)
09:00 23
92.0%
12:00 1
 
4.0%
18:00 1
 
4.0%

Length

2024-04-21T09:25:22.187196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:25:22.280337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00 23
92.0%
12:00 1
 
4.0%
18:00 1
 
4.0%

수강신청 접수마감시간
Categorical

Distinct8
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
18:00
9 
19:00
7 
09:00
2 
22:00
2 
10:00
2 
Other values (3)
3 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique3 ?
Unique (%)12.0%

Sample

1st row09:00
2nd row22:00
3rd row18:00
4th row19:00
5th row19:00

Common Values

ValueCountFrequency (%)
18:00 9
36.0%
19:00 7
28.0%
09:00 2
 
8.0%
22:00 2
 
8.0%
10:00 2
 
8.0%
14:00 1
 
4.0%
24:00 1
 
4.0%
09:30 1
 
4.0%

Length

2024-04-21T09:25:22.378190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:25:22.488949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18:00 9
36.0%
19:00 7
28.0%
09:00 2
 
8.0%
22:00 2
 
8.0%
10:00 2
 
8.0%
14:00 1
 
4.0%
24:00 1
 
4.0%
09:30 1
 
4.0%

교육시작일
Real number (ℝ)

Distinct18
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240549
Minimum20240423
Maximum20240827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-21T09:25:22.587386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240423
5-th percentile20240430
Q120240508
median20240518
Q320240610
95-th percentile20240781
Maximum20240827
Range404
Interquartile range (IQR)102

Descriptive statistics

Standard deviation102.20201
Coefficient of variation (CV)5.0493693 × 10-6
Kurtosis2.6588955
Mean20240549
Median Absolute Deviation (MAD)10
Skewness1.5069749
Sum5.0601372 × 108
Variance10445.25
MonotonicityNot monotonic
2024-04-21T09:25:22.688623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
20240508 4
16.0%
20240430 3
 
12.0%
20240513 2
 
8.0%
20240509 2
 
8.0%
20240610 1
 
4.0%
20240820 1
 
4.0%
20240611 1
 
4.0%
20240618 1
 
4.0%
20240518 1
 
4.0%
20240423 1
 
4.0%
Other values (8) 8
32.0%
ValueCountFrequency (%)
20240423 1
 
4.0%
20240430 3
12.0%
20240508 4
16.0%
20240509 2
8.0%
20240513 2
8.0%
20240518 1
 
4.0%
20240520 1
 
4.0%
20240521 1
 
4.0%
20240522 1
 
4.0%
20240523 1
 
4.0%
ValueCountFrequency (%)
20240827 1
4.0%
20240820 1
4.0%
20240625 1
4.0%
20240618 1
4.0%
20240612 1
4.0%
20240611 1
4.0%
20240610 1
4.0%
20240604 1
4.0%
20240523 1
4.0%
20240522 1
4.0%

교육종료일
Real number (ℝ)

Distinct18
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240637
Minimum20240423
Maximum20241017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-21T09:25:22.804648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240423
5-th percentile20240447
Q120240605
median20240619
Q320240704
95-th percentile20240893
Maximum20241017
Range594
Interquartile range (IQR)99

Descriptive statistics

Standard deviation132.18783
Coefficient of variation (CV)6.5308139 × 10-6
Kurtosis2.2582251
Mean20240637
Median Absolute Deviation (MAD)85
Skewness1.135159
Sum5.0601592 × 108
Variance17473.623
MonotonicityNot monotonic
2024-04-21T09:25:22.914600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
20240705 3
 
12.0%
20240605 3
 
12.0%
20240618 2
 
8.0%
20240619 2
 
8.0%
20240625 2
 
8.0%
20240628 1
 
4.0%
20240823 1
 
4.0%
20240704 1
 
4.0%
20240624 1
 
4.0%
20240430 1
 
4.0%
Other values (8) 8
32.0%
ValueCountFrequency (%)
20240423 1
 
4.0%
20240430 1
 
4.0%
20240514 1
 
4.0%
20240518 1
 
4.0%
20240523 1
 
4.0%
20240530 1
 
4.0%
20240605 3
12.0%
20240618 2
8.0%
20240619 2
8.0%
20240624 1
 
4.0%
ValueCountFrequency (%)
20241017 1
 
4.0%
20240910 1
 
4.0%
20240823 1
 
4.0%
20240705 3
12.0%
20240704 1
 
4.0%
20240628 1
 
4.0%
20240626 1
 
4.0%
20240625 2
8.0%
20240624 1
 
4.0%
20240619 2
8.0%

교육시작시간
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
19:00
15 
09:30
6 
10:00
4 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
19:00 15
60.0%
09:30 6
 
24.0%
10:00 4
 
16.0%

Length

2024-04-21T09:25:23.014081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:25:23.094720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19:00 15
60.0%
09:30 6
 
24.0%
10:00 4
 
16.0%

교육종료시간
Categorical

Distinct6
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
22:00
12 
13:30
5 
13:00
3 
21:00
3 
12:30
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)8.0%

Sample

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

Common Values

ValueCountFrequency (%)
22:00 12
48.0%
13:30 5
20.0%
13:00 3
 
12.0%
21:00 3
 
12.0%
12:30 1
 
4.0%
12:00 1
 
4.0%

Length

2024-04-21T09:25:23.181922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:25:23.272199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
22:00 12
48.0%
13:30 5
20.0%
13:00 3
 
12.0%
21:00 3
 
12.0%
12:30 1
 
4.0%
12:00 1
 
4.0%

교육요일(월)
Boolean

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size157.0 B
True
25 
ValueCountFrequency (%)
True 25
100.0%
2024-04-21T09:25:23.354074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(화)
Boolean

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size157.0 B
True
25 
ValueCountFrequency (%)
True 25
100.0%
2024-04-21T09:25:23.413488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(수)
Boolean

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size157.0 B
True
25 
ValueCountFrequency (%)
True 25
100.0%
2024-04-21T09:25:23.473275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(목)
Boolean

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size157.0 B
True
25 
ValueCountFrequency (%)
True 25
100.0%
2024-04-21T09:25:23.531854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(금)
Boolean

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size157.0 B
True
25 
ValueCountFrequency (%)
True 25
100.0%
2024-04-21T09:25:23.598936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(토)
Boolean

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size157.0 B
True
25 
ValueCountFrequency (%)
True 25
100.0%
2024-04-21T09:25:23.661060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(일)
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)6.2%
Missing9
Missing (%)36.0%
Memory size182.0 B
True
16 
(Missing)
9 
ValueCountFrequency (%)
True 16
64.0%
(Missing) 9
36.0%
2024-04-21T09:25:23.728634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

모집정원
Categorical

IMBALANCE 

Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
15
20 
16
 
2
60
 
1
24
 
1
10
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique3 ?
Unique (%)12.0%

Sample

1st row15
2nd row15
3rd row60
4th row15
5th row16

Common Values

ValueCountFrequency (%)
15 20
80.0%
16 2
 
8.0%
60 1
 
4.0%
24 1
 
4.0%
10 1
 
4.0%

Length

2024-04-21T09:25:23.811988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:25:23.911630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
15 20
80.0%
16 2
 
8.0%
60 1
 
4.0%
24 1
 
4.0%
10 1
 
4.0%

예비자모집인원
Categorical

Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
8
16 
6
3 
0
3 
10
2 
5
 
1

Length

Max length2
Median length1
Mean length1.08
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row8
2nd row6
3rd row10
4th row8
5th row8

Common Values

ValueCountFrequency (%)
8 16
64.0%
6 3
 
12.0%
0 3
 
12.0%
10 2
 
8.0%
5 1
 
4.0%

Length

2024-04-21T09:25:24.023668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:25:24.134165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
8 16
64.0%
6 3
 
12.0%
0 3
 
12.0%
10 2
 
8.0%
5 1
 
4.0%

수강료(원)
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92996.8
Minimum0
Maximum423020
Zeros1
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-21T09:25:24.230829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile32000
Q142550
median70000
Q3120000
95-th percentile172728
Maximum423020
Range423020
Interquartile range (IQR)77450

Descriptive statistics

Standard deviation81292.317
Coefficient of variation (CV)0.87414101
Kurtosis11.381315
Mean92996.8
Median Absolute Deviation (MAD)30000
Skewness2.9376194
Sum2324920
Variance6.6084408 × 109
MonotonicityNot monotonic
2024-04-21T09:25:24.325658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
87070 2
 
8.0%
55610 2
 
8.0%
40000 2
 
8.0%
40140 2
 
8.0%
120000 2
 
8.0%
42550 2
 
8.0%
67400 1
 
4.0%
70000 1
 
4.0%
30000 1
 
4.0%
178410 1
 
4.0%
Other values (9) 9
36.0%
ValueCountFrequency (%)
0 1
4.0%
30000 1
4.0%
40000 2
8.0%
40140 2
8.0%
42550 2
8.0%
55610 2
8.0%
60000 1
4.0%
67400 1
4.0%
70000 1
4.0%
87070 2
8.0%
ValueCountFrequency (%)
423020 1
4.0%
178410 1
4.0%
150000 1
4.0%
130880 1
4.0%
129600 1
4.0%
121450 1
4.0%
120000 2
8.0%
100000 1
4.0%
93420 1
4.0%
87070 2
8.0%

접수방법(방문접수여부Y,N)
Boolean

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size157.0 B
True
21 
False
4 
ValueCountFrequency (%)
True 21
84.0%
False 4
 
16.0%
2024-04-21T09:25:24.401661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

접수방법(온라인접수여부Y,N)
Boolean

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size157.0 B
True
25 
ValueCountFrequency (%)
True 25
100.0%
2024-04-21T09:25:24.464121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

상세정보 주소
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-04-21T09:25:24.672979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length82
Mean length82
Min length82

Characters and Unicode

Total characters2050
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

Unique25 ?
Unique (%)100.0%

Sample

1st rowhttps://sd.seoulwomanup.or.kr/sd/edu/selectEduProgram.do?sch_class_code=C100141578
2nd rowhttps://sd.seoulwomanup.or.kr/sd/edu/selectEduProgram.do?sch_class_code=C100141531
3rd rowhttps://sd.seoulwomanup.or.kr/sd/edu/selectEduProgram.do?sch_class_code=C100141503
4th rowhttps://sd.seoulwomanup.or.kr/sd/edu/selectEduProgram.do?sch_class_code=C100141485
5th rowhttps://sd.seoulwomanup.or.kr/sd/edu/selectEduProgram.do?sch_class_code=C100141433
ValueCountFrequency (%)
https://sd.seoulwomanup.or.kr/sd/edu/selecteduprogram.do?sch_class_code=c100141578 1
 
4.0%
https://sd.seoulwomanup.or.kr/sd/edu/selecteduprogram.do?sch_class_code=c100140963 1
 
4.0%
https://sd.seoulwomanup.or.kr/sd/edu/selecteduprogram.do?sch_class_code=c100138567 1
 
4.0%
https://sd.seoulwomanup.or.kr/sd/edu/selecteduprogram.do?sch_class_code=c100138507 1
 
4.0%
https://sd.seoulwomanup.or.kr/sd/edu/selecteduprogram.do?sch_class_code=c100139387 1
 
4.0%
https://sd.seoulwomanup.or.kr/sd/edu/selecteduprogram.do?sch_class_code=c100140212 1
 
4.0%
https://sd.seoulwomanup.or.kr/sd/edu/selecteduprogram.do?sch_class_code=c100140359 1
 
4.0%
https://sd.seoulwomanup.or.kr/sd/edu/selecteduprogram.do?sch_class_code=c100140360 1
 
4.0%
https://sd.seoulwomanup.or.kr/sd/edu/selecteduprogram.do?sch_class_code=c100140358 1
 
4.0%
https://sd.seoulwomanup.or.kr/sd/edu/selecteduprogram.do?sch_class_code=c100140928 1
 
4.0%
Other values (15) 15
60.0%
2024-04-21T09:25:25.014388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 200
 
9.8%
d 150
 
7.3%
o 150
 
7.3%
/ 125
 
6.1%
e 125
 
6.1%
c 100
 
4.9%
r 100
 
4.9%
. 100
 
4.9%
u 100
 
4.9%
l 75
 
3.7%
Other values (26) 825
40.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1400
68.3%
Other Punctuation 275
 
13.4%
Decimal Number 225
 
11.0%
Uppercase Letter 75
 
3.7%
Connector Punctuation 50
 
2.4%
Math Symbol 25
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 200
14.3%
d 150
10.7%
o 150
10.7%
e 125
8.9%
c 100
 
7.1%
r 100
 
7.1%
u 100
 
7.1%
l 75
 
5.4%
t 75
 
5.4%
a 75
 
5.4%
Other values (7) 250
17.9%
Decimal Number
ValueCountFrequency (%)
1 66
29.3%
0 65
28.9%
3 24
 
10.7%
4 23
 
10.2%
8 12
 
5.3%
5 11
 
4.9%
9 10
 
4.4%
7 6
 
2.7%
6 4
 
1.8%
2 4
 
1.8%
Other Punctuation
ValueCountFrequency (%)
/ 125
45.5%
. 100
36.4%
: 25
 
9.1%
? 25
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
C 25
33.3%
P 25
33.3%
E 25
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 50
100.0%
Math Symbol
ValueCountFrequency (%)
= 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1475
72.0%
Common 575
 
28.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 200
13.6%
d 150
10.2%
o 150
10.2%
e 125
 
8.5%
c 100
 
6.8%
r 100
 
6.8%
u 100
 
6.8%
l 75
 
5.1%
t 75
 
5.1%
a 75
 
5.1%
Other values (10) 325
22.0%
Common
ValueCountFrequency (%)
/ 125
21.7%
. 100
17.4%
1 66
11.5%
0 65
11.3%
_ 50
 
8.7%
= 25
 
4.3%
: 25
 
4.3%
? 25
 
4.3%
3 24
 
4.2%
4 23
 
4.0%
Other values (6) 47
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 200
 
9.8%
d 150
 
7.3%
o 150
 
7.3%
/ 125
 
6.1%
e 125
 
6.1%
c 100
 
4.9%
r 100
 
4.9%
. 100
 
4.9%
u 100
 
4.9%
l 75
 
3.7%
Other values (26) 825
40.2%

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
0C100141578[성동구지원]AI 웹디자인 크리에이터 양성26성동여성인력개발센터M중급202404112024061012:0009:00202406102024062809:3013:30YYYYYY<NA>1580YYhttps://sd.seoulwomanup.or.kr/sd/edu/selectEduProgram.do?sch_class_code=C100141578
1C100141531[내일배움카드] 6월 인사노무실무(급여관리, 4대보험)26성동여성인력개발센터J초급202404042024060309:0022:00202406042024062519:0022:00YYYYYY<NA>15642550NYhttps://sd.seoulwomanup.or.kr/sd/edu/selectEduProgram.do?sch_class_code=C100141531
2C100141503[서울시지원]점자책출판인 양성과정26성동여성인력개발센터N관계없음202404032024051009:0018:00202405132024070509:3013:30YYYYYY<NA>6010100000YYhttps://sd.seoulwomanup.or.kr/sd/edu/selectEduProgram.do?sch_class_code=C100141503
3C100141485[내일배움카드]8월 점역교정사2급자격취득(수학,과학,컴퓨터)26성동여성인력개발센터C자격202404022024082709:0019:00202408272024101719:0022:00YYYYYY<NA>158121450YYhttps://sd.seoulwomanup.or.kr/sd/edu/selectEduProgram.do?sch_class_code=C100141485
4C100141433[내일배뭄카드]6월 최신법무실무(등기)입문26성동여성인력개발센터N관계없음202403282024061209:0019:00202406122024070519:0022:00YYYYYY<NA>16840140YYhttps://sd.seoulwomanup.or.kr/sd/edu/selectEduProgram.do?sch_class_code=C100141433
5C100141399[내일배움카드]5월 아이돌봄인력 양성교육(신규)26성동여성인력개발센터N관계없음202403262024051609:0018:00202405232024070509:3013:30YYYYYY<NA>240423020YYhttps://sd.seoulwomanup.or.kr/sd/edu/selectEduProgram.do?sch_class_code=C100141399
6C100141336[내일배움카드](오전)5월 한글,엑셀 (문서작성 입문)26성동여성인력개발센터J초급202403252024050809:0014:00202405092024061810:0013:00YYYYYY<NA>156129600YYhttps://sd.seoulwomanup.or.kr/sd/edu/selectEduProgram.do?sch_class_code=C100141336
7C100141298[내일배움카드]5월 전산회계1급자격증과정26성동여성인력개발센터N관계없음202403182024050909:0018:00202405092024053009:3012:30YYYYYY<NA>158130880YYhttps://sd.seoulwomanup.or.kr/sd/edu/selectEduProgram.do?sch_class_code=C100141298
8C100141148[5월] (명인과 함께하는) 꽃차소믈리에_입문26성동여성인력개발센터N관계없음202403132024052209:0018:00202405222024061919:0021:00YYYYYY<NA>10560000YYhttps://sd.seoulwomanup.or.kr/sd/edu/selectEduProgram.do?sch_class_code=C100141148
9C100139785★NEW★ [5월] (AI와 함께하는) GPTs 챗봇 개발 입문26성동여성인력개발센터N관계없음202403112024050809:0024:00202405082024060519:0022:00YYYYYYY150150000YYhttps://sd.seoulwomanup.or.kr/sd/edu/selectEduProgram.do?sch_class_code=C100139785
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
15C100138493[내일배움카드](저녁)6월 사회복지사1급 자격취득26성동여성인력개발센터C자격202403012024061809:0018:00202406252024082319:0022:00YYYYYYY158178410NYhttps://sd.seoulwomanup.or.kr/sd/edu/selectEduProgram.do?sch_class_code=C100138493
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17C100140358개강확정★1일★[4월]직장인을 위한 UX/UI디자인(기초)26성동여성인력개발센터J초급202402192024042309:0019:00202404232024042319:0021:00YYYYYYY15830000YYhttps://sd.seoulwomanup.or.kr/sd/edu/selectEduProgram.do?sch_class_code=C100140358
18C100140360★1일★ [5월](주말)직장인을 위한 UX/UI디자인(기초+심화)26성동여성인력개발센터A초중급202402192024051809:0009:30202405182024051809:3013:30YYYYYYY15870000YYhttps://sd.seoulwomanup.or.kr/sd/edu/selectEduProgram.do?sch_class_code=C100140360
19C100140359★1일★ [4월]직장인을 위한 UX/UI디자인(심화)26성동여성인력개발센터M중급202402192024043009:0019:00202404302024043019:0021:00YYYYYYY15840000YYhttps://sd.seoulwomanup.or.kr/sd/edu/selectEduProgram.do?sch_class_code=C100140359
20C100140212★NEW★[6월]누구나 할 수 있는 미리캔버스26성동여성인력개발센터N관계없음202402152024061818:0009:00202406182024061809:3013:30YYYYYYY15840000YYhttps://sd.seoulwomanup.or.kr/sd/edu/selectEduProgram.do?sch_class_code=C100140212
21C100139387[내일배움카드]5월 네이버스마트스토어운영26성동여성인력개발센터N관계없음202401172024051409:0018:00202405132024062419:0022:00YYYYYYY15887070YYhttps://sd.seoulwomanup.or.kr/sd/edu/selectEduProgram.do?sch_class_code=C100139387
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23C100138567[내일배움카드](저녁)6월 정리수납자격취득26성동여성인력개발센터C자격202312132024061109:0019:00202406112024070419:0022:00YYYYYYY15855610YYhttps://sd.seoulwomanup.or.kr/sd/edu/selectEduProgram.do?sch_class_code=C100138567
24C100138504[내일배움카드]5월 민사실무입문26성동여성인력개발센터N관계없음202312112024050809:0019:00202405082024060519:0022:00YYYYYYY16840140YYhttps://sd.seoulwomanup.or.kr/sd/edu/selectEduProgram.do?sch_class_code=C100138504