Overview

Dataset statistics

Number of variables27
Number of observations34
Missing cells24
Missing cells (%)2.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.6 KiB
Average record size in memory227.9 B

Variable types

Text3
Categorical8
Numeric7
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-2212/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 (56.9%)Imbalance
수강신청 접수마감시간 is highly imbalanced (59.8%)Imbalance
교육요일(일) has 24 (70.6%) missing valuesMissing
강좌코드 has unique valuesUnique
상세정보 주소 has unique valuesUnique
예비자모집인원 has 3 (8.8%) zerosZeros
수강료(원) has 8 (23.5%) zerosZeros

Reproduction

Analysis started2024-05-11 03:05:31.064940
Analysis finished2024-05-11 03:05:32.374904
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

강좌코드
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-05-11T03:05:32.925369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters340
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

Unique34 ?
Unique (%)100.0%

Sample

1st rowC100142135
2nd rowC100141981
3rd rowC100141851
4th rowC100141837
5th rowC100141815
ValueCountFrequency (%)
c100142135 1
 
2.9%
c100141981 1
 
2.9%
c100142137 1
 
2.9%
c100141804 1
 
2.9%
c100141471 1
 
2.9%
c100141590 1
 
2.9%
c100141533 1
 
2.9%
c100139765 1
 
2.9%
c100140592 1
 
2.9%
c100141802 1
 
2.9%
Other values (24) 24
70.6%
2024-05-11T03:05:34.285329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 102
30.0%
0 75
22.1%
C 34
 
10.0%
4 34
 
10.0%
3 19
 
5.6%
2 18
 
5.3%
9 16
 
4.7%
5 14
 
4.1%
7 11
 
3.2%
8 10
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 306
90.0%
Uppercase Letter 34
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 102
33.3%
0 75
24.5%
4 34
 
11.1%
3 19
 
6.2%
2 18
 
5.9%
9 16
 
5.2%
5 14
 
4.6%
7 11
 
3.6%
8 10
 
3.3%
6 7
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
C 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 306
90.0%
Latin 34
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 102
33.3%
0 75
24.5%
4 34
 
11.1%
3 19
 
6.2%
2 18
 
5.9%
9 16
 
5.2%
5 14
 
4.6%
7 11
 
3.6%
8 10
 
3.3%
6 7
 
2.3%
Latin
ValueCountFrequency (%)
C 34
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 340
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 102
30.0%
0 75
22.1%
C 34
 
10.0%
4 34
 
10.0%
3 19
 
5.6%
2 18
 
5.3%
9 16
 
4.7%
5 14
 
4.1%
7 11
 
3.2%
8 10
 
2.9%

강좌명
Text

Distinct31
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-05-11T03:05:35.050390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length29
Mean length24.029412
Min length13

Characters and Unicode

Total characters817
Distinct characters197
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)85.3%

Sample

1st row전략적 경력탐색과 커리어 로드맵 그리기
2nd row8회 집단상담 기본 2기
3rd row실버복지 행정사무원 양성과정
4th row[서울시 지원] AI 활용 청년커리어부트 전문가 양성과정
5th row24년 결혼이민여성대상 직업교육
ValueCountFrequency (%)
내일배움 11
 
7.5%
유료 6
 
4.1%
양성과정 5
 
3.4%
내일배움]플라워 4
 
2.7%
꽃꽂이 4
 
2.7%
초급(꽃바구니 4
 
2.7%
실전 3
 
2.0%
꽃다발 3
 
2.0%
경매 3
 
2.0%
결혼이민여성대상 2
 
1.4%
Other values (88) 102
69.4%
2024-05-11T03:05:36.338909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
113
 
13.8%
] 29
 
3.5%
[ 29
 
3.5%
( 25
 
3.1%
) 25
 
3.1%
일 19
 
2.3%
배 16
 
2.0%
움 16
 
2.0%
내 16
 
2.0%
리 15
 
1.8%
Other values (187) 514
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 569
69.6%
Space Separator 113
 
13.8%
Close Punctuation 54
 
6.6%
Open Punctuation 54
 
6.6%
Other Punctuation 11
 
1.3%
Decimal Number 8
 
1.0%
Uppercase Letter 6
 
0.7%
Other Symbol 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 19
 
3.3%
배 16
 
2.8%
움 16
 
2.8%
내 16
 
2.8%
리 15
 
2.6%
꽃 12
 
2.1%
이 11
 
1.9%
기 11
 
1.9%
실 10
 
1.8%
정 10
 
1.8%
Other values (172) 433
76.1%
Uppercase Letter
ValueCountFrequency (%)
A 2
33.3%
S 2
33.3%
N 1
16.7%
I 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 5
62.5%
4 2
 
25.0%
8 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
] 29
53.7%
) 25
46.3%
Open Punctuation
ValueCountFrequency (%)
[ 29
53.7%
( 25
46.3%
Other Punctuation
ValueCountFrequency (%)
, 10
90.9%
& 1
 
9.1%
Space Separator
ValueCountFrequency (%)
113
100.0%
Other Symbol
ValueCountFrequency (%)
★ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 569
69.6%
Common 242
29.6%
Latin 6
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 19
 
3.3%
배 16
 
2.8%
움 16
 
2.8%
내 16
 
2.8%
리 15
 
2.6%
꽃 12
 
2.1%
이 11
 
1.9%
기 11
 
1.9%
실 10
 
1.8%
정 10
 
1.8%
Other values (172) 433
76.1%
Common
ValueCountFrequency (%)
113
46.7%
] 29
 
12.0%
[ 29
 
12.0%
( 25
 
10.3%
) 25
 
10.3%
, 10
 
4.1%
2 5
 
2.1%
★ 2
 
0.8%
4 2
 
0.8%
8 1
 
0.4%
Latin
ValueCountFrequency (%)
A 2
33.3%
S 2
33.3%
N 1
16.7%
I 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 569
69.6%
ASCII 246
30.1%
Misc Symbols 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
113
45.9%
] 29
 
11.8%
[ 29
 
11.8%
( 25
 
10.2%
) 25
 
10.2%
, 10
 
4.1%
2 5
 
2.0%
A 2
 
0.8%
4 2
 
0.8%
S 2
 
0.8%
Other values (4) 4
 
1.6%
Hangul
ValueCountFrequency (%)
일 19
 
3.3%
배 16
 
2.8%
움 16
 
2.8%
내 16
 
2.8%
리 15
 
2.6%
꽃 12
 
2.1%
이 11
 
1.9%
기 11
 
1.9%
실 10
 
1.8%
정 10
 
1.8%
Other values (172) 433
76.1%
Misc Symbols
ValueCountFrequency (%)
★ 2
100.0%

기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
22
34 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row22
2nd row22
3rd row22
4th row22
5th row22

Common Values

ValueCountFrequency (%)
22 34
100.0%

Length

2024-05-11T03:05:36.810112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:05:37.139070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
22 34
100.0%

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
용산여성인력개발센터
34 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
용산여성인력개발센터 34
100.0%

Length

2024-05-11T03:05:37.472605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:05:37.819971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용산여성인력개발센터 34
100.0%

난이도코드
Categorical

Distinct7
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Memory size404.0 B
N
18 
J
5 
A
5 
M
2 
C
2 
Other values (2)
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)5.9%

Sample

1st rowN
2nd rowN
3rd rowT
4th rowZ
5th rowJ

Common Values

ValueCountFrequency (%)
N 18
52.9%
J 5
 
14.7%
A 5
 
14.7%
M 2
 
5.9%
C 2
 
5.9%
T 1
 
2.9%
Z 1
 
2.9%

Length

2024-05-11T03:05:38.227253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:05:38.601496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 18
52.9%
j 5
 
14.7%
a 5
 
14.7%
m 2
 
5.9%
c 2
 
5.9%
t 1
 
2.9%
z 1
 
2.9%

난이도명
Categorical

Distinct7
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Memory size404.0 B
관계없음
18 
초급
5 
초중급
5 
중급
2 
자격
2 
Other values (2)
2 

Length

Max length8
Median length4
Mean length3.3823529
Min length2

Unique

Unique2 ?
Unique (%)5.9%

Sample

1st row관계없음
2nd row관계없음
3rd row통합
4th row고급.중급.초급
5th row초급

Common Values

ValueCountFrequency (%)
관계없음 18
52.9%
초급 5
 
14.7%
초중급 5
 
14.7%
중급 2
 
5.9%
자격 2
 
5.9%
통합 1
 
2.9%
고급.중급.초급 1
 
2.9%

Length

2024-05-11T03:05:39.182545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:05:39.910149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관계없음 18
52.9%
초급 5
 
14.7%
초중급 5
 
14.7%
중급 2
 
5.9%
자격 2
 
5.9%
통합 1
 
2.9%
고급.중급.초급 1
 
2.9%

수강신청 접수시작일
Real number (ℝ)

Distinct13
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20236690
Minimum20220101
Maximum20240508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-05-11T03:05:40.368798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20220101
5-th percentile20226601
Q120230451
median20240101
Q320240187
95-th percentile20240454
Maximum20240508
Range20407
Interquartile range (IQR)9736.25

Descriptive statistics

Standard deviation5976.1266
Coefficient of variation (CV)0.00029531146
Kurtosis1.522355
Mean20236690
Median Absolute Deviation (MAD)206.5
Skewness-1.5398175
Sum6.8804747 × 108
Variance35714089
MonotonicityDecreasing
2024-05-11T03:05:40.895017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
20240101 14
41.2%
20230101 4
 
11.8%
20230201 3
 
8.8%
20240508 2
 
5.9%
20240422 2
 
5.9%
20220101 2
 
5.9%
20240425 1
 
2.9%
20240423 1
 
2.9%
20240314 1
 
2.9%
20240301 1
 
2.9%
Other values (3) 3
 
8.8%
ValueCountFrequency (%)
20220101 2
 
5.9%
20230101 4
 
11.8%
20230201 3
 
8.8%
20231201 1
 
2.9%
20240101 14
41.2%
20240110 1
 
2.9%
20240213 1
 
2.9%
20240301 1
 
2.9%
20240314 1
 
2.9%
20240422 2
 
5.9%
ValueCountFrequency (%)
20240508 2
 
5.9%
20240425 1
 
2.9%
20240423 1
 
2.9%
20240422 2
 
5.9%
20240314 1
 
2.9%
20240301 1
 
2.9%
20240213 1
 
2.9%
20240110 1
 
2.9%
20240101 14
41.2%
20231201 1
 
2.9%

수강신청 접수종료일
Real number (ℝ)

Distinct27
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240593
Minimum20240511
Maximum20240828
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-05-11T03:05:41.555306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240511
5-th percentile20240514
Q120240527
median20240531
Q320240627
95-th percentile20240748
Maximum20240828
Range317
Interquartile range (IQR)99.75

Descriptive statistics

Standard deviation88.623802
Coefficient of variation (CV)4.3785181 × 10-6
Kurtosis0.56919398
Mean20240593
Median Absolute Deviation (MAD)20
Skewness1.1455365
Sum6.8818016 × 108
Variance7854.1783
MonotonicityNot monotonic
2024-05-11T03:05:42.055007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
20240530 3
 
8.8%
20240528 2
 
5.9%
20240529 2
 
5.9%
20240523 2
 
5.9%
20240511 2
 
5.9%
20240531 2
 
5.9%
20240715 1
 
2.9%
20240628 1
 
2.9%
20240703 1
 
2.9%
20240527 1
 
2.9%
Other values (17) 17
50.0%
ValueCountFrequency (%)
20240511 2
5.9%
20240516 1
 
2.9%
20240517 1
 
2.9%
20240518 1
 
2.9%
20240522 1
 
2.9%
20240523 2
5.9%
20240527 1
 
2.9%
20240528 2
5.9%
20240529 2
5.9%
20240530 3
8.8%
ValueCountFrequency (%)
20240828 1
2.9%
20240810 1
2.9%
20240715 1
2.9%
20240709 1
2.9%
20240705 1
2.9%
20240703 1
2.9%
20240702 1
2.9%
20240629 1
2.9%
20240628 1
2.9%
20240624 1
2.9%

수강신청 접수시작시간
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
09:00
31 
01:00
 
3

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
09:00 31
91.2%
01:00 3
 
8.8%

Length

2024-05-11T03:05:42.791338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:05:43.330070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00 31
91.2%
01:00 3
 
8.8%

수강신청 접수마감시간
Categorical

IMBALANCE 

Distinct4
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
18:00
29 
13:00
3 
20:00
 
1
22:00
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)5.9%

Sample

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

Common Values

ValueCountFrequency (%)
18:00 29
85.3%
13:00 3
 
8.8%
20:00 1
 
2.9%
22:00 1
 
2.9%

Length

2024-05-11T03:05:43.924034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:05:44.388004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18:00 29
85.3%
13:00 3
 
8.8%
20:00 1
 
2.9%
22:00 1
 
2.9%

교육시작일
Real number (ℝ)

Distinct28
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240590
Minimum20240325
Maximum20240909
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-05-11T03:05:44.773845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240325
5-th percentile20240511
Q120240525
median20240604
Q320240624
95-th percentile20240748
Maximum20240909
Range584
Interquartile range (IQR)98.5

Descriptive statistics

Standard deviation101.42896
Coefficient of variation (CV)5.0111662 × 10-6
Kurtosis3.095012
Mean20240590
Median Absolute Deviation (MAD)74
Skewness0.7983098
Sum6.8818004 × 108
Variance10287.833
MonotonicityNot monotonic
2024-05-11T03:05:45.212683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
20240530 4
 
11.8%
20240511 2
 
5.9%
20240523 2
 
5.9%
20240525 2
 
5.9%
20240524 1
 
2.9%
20240628 1
 
2.9%
20240702 1
 
2.9%
20240618 1
 
2.9%
20240604 1
 
2.9%
20240622 1
 
2.9%
Other values (18) 18
52.9%
ValueCountFrequency (%)
20240325 1
 
2.9%
20240511 2
5.9%
20240516 1
 
2.9%
20240521 1
 
2.9%
20240523 2
5.9%
20240524 1
 
2.9%
20240525 2
5.9%
20240527 1
 
2.9%
20240529 1
 
2.9%
20240530 4
11.8%
ValueCountFrequency (%)
20240909 1
2.9%
20240810 1
2.9%
20240715 1
2.9%
20240709 1
2.9%
20240702 1
2.9%
20240629 1
2.9%
20240628 1
2.9%
20240625 1
2.9%
20240624 1
2.9%
20240622 1
2.9%

교육종료일
Real number (ℝ)

Distinct27
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240735
Minimum20240529
Maximum20241106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-05-11T03:05:45.716208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240529
5-th percentile20240530
Q120240628
median20240712
Q320240805
95-th percentile20240948
Maximum20241106
Range577
Interquartile range (IQR)177.5

Descriptive statistics

Standard deviation136.9975
Coefficient of variation (CV)6.7684055 × 10-6
Kurtosis0.56257381
Mean20240735
Median Absolute Deviation (MAD)91
Skewness0.79679086
Sum6.8818498 × 108
Variance18768.315
MonotonicityNot monotonic
2024-05-11T03:05:46.249346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
20240720 3
 
8.8%
20240529 2
 
5.9%
20240906 2
 
5.9%
20240702 2
 
5.9%
20240709 2
 
5.9%
20240601 2
 
5.9%
20240613 1
 
2.9%
20240704 1
 
2.9%
20240620 1
 
2.9%
20240730 1
 
2.9%
Other values (17) 17
50.0%
ValueCountFrequency (%)
20240529 2
5.9%
20240531 1
2.9%
20240601 2
5.9%
20240611 1
2.9%
20240613 1
2.9%
20240620 1
2.9%
20240627 1
2.9%
20240629 1
2.9%
20240702 2
5.9%
20240704 1
2.9%
ValueCountFrequency (%)
20241106 1
2.9%
20241026 1
2.9%
20240906 2
5.9%
20240905 1
2.9%
20240904 1
2.9%
20240903 1
2.9%
20240821 1
2.9%
20240806 1
2.9%
20240802 1
2.9%
20240730 1
2.9%

교육시작시간
Categorical

Distinct7
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Memory size404.0 B
10:00
11 
09:30
10 
14:00
5 
19:00
4 
12:00
2 
Other values (2)
2 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)5.9%

Sample

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

Common Values

ValueCountFrequency (%)
10:00 11
32.4%
09:30 10
29.4%
14:00 5
14.7%
19:00 4
 
11.8%
12:00 2
 
5.9%
13:30 1
 
2.9%
09:20 1
 
2.9%

Length

2024-05-11T03:05:46.831625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:05:47.234243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10:00 11
32.4%
09:30 10
29.4%
14:00 5
14.7%
19:00 4
 
11.8%
12:00 2
 
5.9%
13:30 1
 
2.9%
09:20 1
 
2.9%

교육종료시간
Categorical

Distinct8
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Memory size404.0 B
13:30
10 
17:00
9 
13:00
4 
22:00
4 
18:00
2 
Other values (3)
5 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st row17:00
2nd row13:30
3rd row18:00
4th row13:30
5th row13:00

Common Values

ValueCountFrequency (%)
13:30 10
29.4%
17:00 9
26.5%
13:00 4
 
11.8%
22:00 4
 
11.8%
18:00 2
 
5.9%
17:15 2
 
5.9%
13:20 2
 
5.9%
17:30 1
 
2.9%

Length

2024-05-11T03:05:47.800861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:05:48.317346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13:30 10
29.4%
17:00 9
26.5%
13:00 4
 
11.8%
22:00 4
 
11.8%
18:00 2
 
5.9%
17:15 2
 
5.9%
13:20 2
 
5.9%
17:30 1
 
2.9%

교육요일(월)
Boolean

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size166.0 B
True
34 
ValueCountFrequency (%)
True 34
100.0%
2024-05-11T03:05:48.722735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(화)
Boolean

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size166.0 B
True
34 
ValueCountFrequency (%)
True 34
100.0%
2024-05-11T03:05:49.110841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(수)
Boolean

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size166.0 B
True
34 
ValueCountFrequency (%)
True 34
100.0%
2024-05-11T03:05:49.435652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(목)
Boolean

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size166.0 B
True
34 
ValueCountFrequency (%)
True 34
100.0%
2024-05-11T03:05:49.776121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(금)
Boolean

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size166.0 B
True
34 
ValueCountFrequency (%)
True 34
100.0%
2024-05-11T03:05:50.039187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(토)
Boolean

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size166.0 B
True
34 
ValueCountFrequency (%)
True 34
100.0%
2024-05-11T03:05:50.289523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(일)
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)10.0%
Missing24
Missing (%)70.6%
Memory size200.0 B
True
10 
(Missing)
24 
ValueCountFrequency (%)
True 10
29.4%
(Missing) 24
70.6%
2024-05-11T03:05:50.673908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

모집정원
Real number (ℝ)

Distinct8
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.441176
Minimum10
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-05-11T03:05:51.027501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile13.25
Q116
median20
Q320
95-th percentile50
Maximum60
Range50
Interquartile range (IQR)4

Descriptive statistics

Standard deviation11.547507
Coefficient of variation (CV)0.51456781
Kurtosis3.6620791
Mean22.441176
Median Absolute Deviation (MAD)4
Skewness2.0625874
Sum763
Variance133.34492
MonotonicityNot monotonic
2024-05-11T03:05:51.505425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20 16
47.1%
16 8
23.5%
50 2
 
5.9%
40 2
 
5.9%
15 2
 
5.9%
10 2
 
5.9%
60 1
 
2.9%
25 1
 
2.9%
ValueCountFrequency (%)
10 2
 
5.9%
15 2
 
5.9%
16 8
23.5%
20 16
47.1%
25 1
 
2.9%
40 2
 
5.9%
50 2
 
5.9%
60 1
 
2.9%
ValueCountFrequency (%)
60 1
 
2.9%
50 2
 
5.9%
40 2
 
5.9%
25 1
 
2.9%
20 16
47.1%
16 8
23.5%
15 2
 
5.9%
10 2
 
5.9%

예비자모집인원
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.382353
Minimum0
Maximum40
Zeros3
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-05-11T03:05:52.006090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median12.5
Q320
95-th percentile30
Maximum40
Range40
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.7763311
Coefficient of variation (CV)0.73053902
Kurtosis0.034146818
Mean13.382353
Median Absolute Deviation (MAD)7.5
Skewness0.59561108
Sum455
Variance95.576649
MonotonicityNot monotonic
2024-05-11T03:05:52.628198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20 12
35.3%
5 9
26.5%
0 3
 
8.8%
10 3
 
8.8%
15 2
 
5.9%
30 2
 
5.9%
40 1
 
2.9%
2 1
 
2.9%
8 1
 
2.9%
ValueCountFrequency (%)
0 3
 
8.8%
2 1
 
2.9%
5 9
26.5%
8 1
 
2.9%
10 3
 
8.8%
15 2
 
5.9%
20 12
35.3%
30 2
 
5.9%
40 1
 
2.9%
ValueCountFrequency (%)
40 1
 
2.9%
30 2
 
5.9%
20 12
35.3%
15 2
 
5.9%
10 3
 
8.8%
8 1
 
2.9%
5 9
26.5%
2 1
 
2.9%
0 3
 
8.8%

수강료(원)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)47.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean173186.47
Minimum0
Maximum651000
Zeros8
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-05-11T03:05:53.164753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1100000
median150000
Q3237320
95-th percentile450000
Maximum651000
Range651000
Interquartile range (IQR)137320

Descriptive statistics

Standard deviation147329.44
Coefficient of variation (CV)0.85069831
Kurtosis2.2725201
Mean173186.47
Median Absolute Deviation (MAD)87320
Skewness1.1723252
Sum5888340
Variance2.1705963 × 1010
MonotonicityNot monotonic
2024-05-11T03:05:53.617727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 8
23.5%
261520 4
11.8%
120000 3
 
8.8%
100000 2
 
5.9%
180000 2
 
5.9%
150000 2
 
5.9%
237320 2
 
5.9%
139020 2
 
5.9%
450000 2
 
5.9%
187200 1
 
2.9%
Other values (6) 6
17.6%
ValueCountFrequency (%)
0 8
23.5%
100000 2
 
5.9%
120000 3
 
8.8%
139020 2
 
5.9%
149760 1
 
2.9%
150000 2
 
5.9%
180000 2
 
5.9%
187200 1
 
2.9%
207300 1
 
2.9%
217200 1
 
2.9%
ValueCountFrequency (%)
651000 1
 
2.9%
450000 2
5.9%
336000 1
 
2.9%
261520 4
11.8%
237320 2
5.9%
221120 1
 
2.9%
217200 1
 
2.9%
207300 1
 
2.9%
187200 1
 
2.9%
180000 2
5.9%

접수방법(방문접수여부Y,N)
Boolean

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size166.0 B
True
30 
False
4 
ValueCountFrequency (%)
True 30
88.2%
False 4
 
11.8%
2024-05-11T03:05:53.995721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

접수방법(온라인접수여부Y,N)
Boolean

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size166.0 B
True
34 
ValueCountFrequency (%)
True 34
100.0%
2024-05-11T03:05:54.319355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

상세정보 주소
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-05-11T03:05:55.045909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length92
Mean length92
Min length92

Characters and Unicode

Total characters3128
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

Unique34 ?
Unique (%)100.0%

Sample

1st rowhttps://yongsan.seoulwomanup.or.kr/yongsan/edu/selectEduProgram.do?sch_class_code=C100142135
2nd rowhttps://yongsan.seoulwomanup.or.kr/yongsan/edu/selectEduProgram.do?sch_class_code=C100141981
3rd rowhttps://yongsan.seoulwomanup.or.kr/yongsan/edu/selectEduProgram.do?sch_class_code=C100141851
4th rowhttps://yongsan.seoulwomanup.or.kr/yongsan/edu/selectEduProgram.do?sch_class_code=C100141837
5th rowhttps://yongsan.seoulwomanup.or.kr/yongsan/edu/selectEduProgram.do?sch_class_code=C100141815
ValueCountFrequency (%)
https://yongsan.seoulwomanup.or.kr/yongsan/edu/selecteduprogram.do?sch_class_code=c100142135 1
 
2.9%
https://yongsan.seoulwomanup.or.kr/yongsan/edu/selecteduprogram.do?sch_class_code=c100141981 1
 
2.9%
https://yongsan.seoulwomanup.or.kr/yongsan/edu/selecteduprogram.do?sch_class_code=c100142137 1
 
2.9%
https://yongsan.seoulwomanup.or.kr/yongsan/edu/selecteduprogram.do?sch_class_code=c100141804 1
 
2.9%
https://yongsan.seoulwomanup.or.kr/yongsan/edu/selecteduprogram.do?sch_class_code=c100141471 1
 
2.9%
https://yongsan.seoulwomanup.or.kr/yongsan/edu/selecteduprogram.do?sch_class_code=c100141590 1
 
2.9%
https://yongsan.seoulwomanup.or.kr/yongsan/edu/selecteduprogram.do?sch_class_code=c100141533 1
 
2.9%
https://yongsan.seoulwomanup.or.kr/yongsan/edu/selecteduprogram.do?sch_class_code=c100139765 1
 
2.9%
https://yongsan.seoulwomanup.or.kr/yongsan/edu/selecteduprogram.do?sch_class_code=c100140592 1
 
2.9%
https://yongsan.seoulwomanup.or.kr/yongsan/edu/selecteduprogram.do?sch_class_code=c100141802 1
 
2.9%
Other values (24) 24
70.6%
2024-05-11T03:05:56.324630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 272
 
8.7%
o 272
 
8.7%
e 170
 
5.4%
/ 170
 
5.4%
n 170
 
5.4%
a 170
 
5.4%
r 136
 
4.3%
c 136
 
4.3%
d 136
 
4.3%
. 136
 
4.3%
Other values (27) 1360
43.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2244
71.7%
Other Punctuation 374
 
12.0%
Decimal Number 306
 
9.8%
Uppercase Letter 102
 
3.3%
Connector Punctuation 68
 
2.2%
Math Symbol 34
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 272
12.1%
o 272
12.1%
e 170
 
7.6%
n 170
 
7.6%
a 170
 
7.6%
r 136
 
6.1%
c 136
 
6.1%
d 136
 
6.1%
u 136
 
6.1%
g 102
 
4.5%
Other values (8) 544
24.2%
Decimal Number
ValueCountFrequency (%)
1 102
33.3%
0 75
24.5%
4 34
 
11.1%
3 19
 
6.2%
2 18
 
5.9%
9 16
 
5.2%
5 14
 
4.6%
7 11
 
3.6%
8 10
 
3.3%
6 7
 
2.3%
Other Punctuation
ValueCountFrequency (%)
/ 170
45.5%
. 136
36.4%
? 34
 
9.1%
: 34
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
C 34
33.3%
P 34
33.3%
E 34
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 68
100.0%
Math Symbol
ValueCountFrequency (%)
= 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2346
75.0%
Common 782
 
25.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 272
11.6%
o 272
11.6%
e 170
 
7.2%
n 170
 
7.2%
a 170
 
7.2%
r 136
 
5.8%
c 136
 
5.8%
d 136
 
5.8%
u 136
 
5.8%
g 102
 
4.3%
Other values (11) 646
27.5%
Common
ValueCountFrequency (%)
/ 170
21.7%
. 136
17.4%
1 102
13.0%
0 75
9.6%
_ 68
 
8.7%
4 34
 
4.3%
= 34
 
4.3%
? 34
 
4.3%
: 34
 
4.3%
3 19
 
2.4%
Other values (6) 76
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3128
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 272
 
8.7%
o 272
 
8.7%
e 170
 
5.4%
/ 170
 
5.4%
n 170
 
5.4%
a 170
 
5.4%
r 136
 
4.3%
c 136
 
4.3%
d 136
 
4.3%
. 136
 
4.3%
Other values (27) 1360
43.5%

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
0C100142135전략적 경력탐색과 커리어 로드맵 그리기22용산여성인력개발센터N관계없음202405082024052809:0018:00202405292024052914:0017:00YYYYYY<NA>2000YYhttps://yongsan.seoulwomanup.or.kr/yongsan/edu/selectEduProgram.do?sch_class_code=C100142135
1C1001419818회 집단상담 기본 2기22용산여성인력개발센터N관계없음202405082024052809:0018:00202405272024053109:3013:30YYYYYY<NA>20100YYhttps://yongsan.seoulwomanup.or.kr/yongsan/edu/selectEduProgram.do?sch_class_code=C100141981
2C100141851실버복지 행정사무원 양성과정22용산여성인력개발센터T통합202404252024053109:0018:00202406102024080614:0018:00YYYYYY<NA>500100000YYhttps://yongsan.seoulwomanup.or.kr/yongsan/edu/selectEduProgram.do?sch_class_code=C100141851
3C100141837[서울시 지원] AI 활용 청년커리어부트 전문가 양성과정22용산여성인력개발센터Z고급.중급.초급202404232024070909:0018:00202407092024090609:3013:30YYYYYY<NA>4020100000YYhttps://yongsan.seoulwomanup.or.kr/yongsan/edu/selectEduProgram.do?sch_class_code=C100141837
4C10014181524년 결혼이민여성대상 직업교육22용산여성인력개발센터J초급202404222024082809:0018:00202409092024110610:0013:00YYYYYY<NA>15150YYhttps://yongsan.seoulwomanup.or.kr/yongsan/edu/selectEduProgram.do?sch_class_code=C100141815
5C10014181324년 결혼이민여성대상 사전교육22용산여성인력개발센터J초급202404222024052909:0018:00202406032024070810:0013:00YYYYYY<NA>15150YYhttps://yongsan.seoulwomanup.or.kr/yongsan/edu/selectEduProgram.do?sch_class_code=C100141813
6C100141259[새일직훈] 온라인쇼핑몰 창업 및 브랜딩 과정22용산여성인력개발센터M중급202403142024061209:0018:00202406172024090309:3013:30YYYYYY<NA>60300YYhttps://yongsan.seoulwomanup.or.kr/yongsan/edu/selectEduProgram.do?sch_class_code=C100141259
7C100141322[전액무료]나눔을 실천하는 급식조리사 양성과정22용산여성인력개발센터N관계없음202403012024070209:0018:00202406252024090609:3013:30YYYYYY<NA>16400YYhttps://yongsan.seoulwomanup.or.kr/yongsan/edu/selectEduProgram.do?sch_class_code=C100141322
8C100139730[새일직훈] 리셉션 어드민 매니저 양성과정22용산여성인력개발센터N관계없음202402132024052909:0018:00202403252024052909:3013:30YYYYYYY50300YYhttps://yongsan.seoulwomanup.or.kr/yongsan/edu/selectEduProgram.do?sch_class_code=C100139730
9C100141802이러닝 기획 실무(스토리보드, 포트 폴리오 제작)22용산여성인력개발센터N관계없음202401102024070509:0018:00202406242024082119:0022:00YYYYYY<NA>252651000YYhttps://yongsan.seoulwomanup.or.kr/yongsan/edu/selectEduProgram.do?sch_class_code=C100141802
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
24C100139768[내일배움]플라워 초급(꽃바구니, 꽃꽂이, 꽃다발)22용산여성인력개발센터N관계없음202312012024051809:0018:00202405252024072010:0013:00YYYYYYY2020261520NYhttps://yongsan.seoulwomanup.or.kr/yongsan/edu/selectEduProgram.do?sch_class_code=C100139768
25C100139722[내일배움]플라워 초급(꽃바구니, 꽃꽂이, 꽃다발)22용산여성인력개발센터N관계없음202302012024060409:0018:00202406042024070210:0013:00YYYYYYY2020261520NYhttps://yongsan.seoulwomanup.or.kr/yongsan/edu/selectEduProgram.do?sch_class_code=C100139722
26C100140592[내일배움]플라워 초급(꽃바구니, 꽃꽂이, 꽃다발)22용산여성인력개발센터N관계없음202302012024052309:0018:00202405232024062714:0017:00YYYYYYY2020261520NYhttps://yongsan.seoulwomanup.or.kr/yongsan/edu/selectEduProgram.do?sch_class_code=C100140592
27C100139765[내일배움]플라워 초급(꽃바구니, 꽃꽂이, 꽃다발)야간22용산여성인력개발센터N관계없음202302012024061809:0018:00202406182024071119:0022:00YYYYYYY2020261520NYhttps://yongsan.seoulwomanup.or.kr/yongsan/edu/selectEduProgram.do?sch_class_code=C100139765
28C100141533[내일배움] 엑셀실무향상22용산여성인력개발센터A초중급202301012024053009:0018:00202405302024061109:2013:20YYYYYY<NA>2020180000YYhttps://yongsan.seoulwomanup.or.kr/yongsan/edu/selectEduProgram.do?sch_class_code=C100141533
29C100141590[유료] 노인 인지활동 책놀이지도사(심화)(주말)22용산여성인력개발센터C자격202301012024052709:0018:00202405252024062910:0017:00YYYYYY<NA>165150000YYhttps://yongsan.seoulwomanup.or.kr/yongsan/edu/selectEduProgram.do?sch_class_code=C100141590
30C100141471[유료]부동산 경매 실전 기본반(일반물건 중심)22용산여성인력개발센터A초중급202301012024070301:0013:00202407022024073009:3013:30YYYYYY<NA>205120000YYhttps://yongsan.seoulwomanup.or.kr/yongsan/edu/selectEduProgram.do?sch_class_code=C100141471
31C100141804[내일배움] 네이버스마트스토어 운영(입문) (오후)22용산여성인력개발센터N관계없음202301012024052309:0018:00202405232024062014:0018:00YYYYYY<NA>2020221120YYhttps://yongsan.seoulwomanup.or.kr/yongsan/edu/selectEduProgram.do?sch_class_code=C100141804
32C100142137[내일배움] 컴퓨터기초와 문서작성22용산여성인력개발센터N관계없음202201012024062809:0018:00202406282024070909:3013:30YYYYYY<NA>200180000YYhttps://yongsan.seoulwomanup.or.kr/yongsan/edu/selectEduProgram.do?sch_class_code=C100142137
33C100142138[내일배움] 네이버스마트스토어 운영(실전 마케팅)22용산여성인력개발센터M중급202201012024053009:0022:00202405302024070419:0022:00YYYYYY<NA>2020207300YYhttps://yongsan.seoulwomanup.or.kr/yongsan/edu/selectEduProgram.do?sch_class_code=C100142138