Overview

Dataset statistics

Number of variables27
Number of observations72
Missing cells58
Missing cells (%)3.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.9 KiB
Average record size in memory225.8 B

Variable types

Text3
Categorical5
Numeric7
DateTime3
Boolean9

Dataset

Description강좌코드,강좌명,기관코드,기관명,난이도코드,난이도명,수강신청 접수시작일,수강신청 접수종료일,수강신청 접수시작시간,수강신청 접수마감시간,교육시작일,교육종료일,교육시작시간,교육종료시간,교육요일(월),교육요일(화),교육요일(수),교육요일(목),교육요일(금),교육요일(토),교육요일(일),모집정원,예비자모집인원,수강료(원),접수방법(방문접수여부Y,N),접수방법(온라인접수여부Y,N),상세정보 주소
Author서울시여성능력개발원
URLhttps://data.seoul.go.kr/dataList/OA-2285/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
교육요일(일) has 58 (80.6%) missing valuesMissing
강좌코드 has unique valuesUnique
상세정보 주소 has unique valuesUnique
예비자모집인원 has 20 (27.8%) zerosZeros
수강료(원) has 13 (18.1%) zerosZeros

Reproduction

Analysis started2024-05-11 05:46:01.597873
Analysis finished2024-05-11 05:46:02.186146
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

강좌코드
Text

UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size708.0 B
2024-05-11T14:46:02.482867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters720
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

Unique72 ?
Unique (%)100.0%

Sample

1st rowC100141967
2nd rowC100141975
3rd rowC100141966
4th rowC100141963
5th rowC100141948
ValueCountFrequency (%)
c100141967 1
 
1.4%
c100141975 1
 
1.4%
c100140314 1
 
1.4%
c100140311 1
 
1.4%
c100141166 1
 
1.4%
c100141806 1
 
1.4%
c100141051 1
 
1.4%
c100141347 1
 
1.4%
c100140313 1
 
1.4%
c100141359 1
 
1.4%
Other values (62) 62
86.1%
2024-05-11T14:46:03.157512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 221
30.7%
0 170
23.6%
4 107
14.9%
C 72
 
10.0%
6 29
 
4.0%
9 27
 
3.8%
5 27
 
3.8%
3 21
 
2.9%
2 18
 
2.5%
7 15
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 648
90.0%
Uppercase Letter 72
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 221
34.1%
0 170
26.2%
4 107
16.5%
6 29
 
4.5%
9 27
 
4.2%
5 27
 
4.2%
3 21
 
3.2%
2 18
 
2.8%
7 15
 
2.3%
8 13
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
C 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 648
90.0%
Latin 72
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 221
34.1%
0 170
26.2%
4 107
16.5%
6 29
 
4.5%
9 27
 
4.2%
5 27
 
4.2%
3 21
 
3.2%
2 18
 
2.8%
7 15
 
2.3%
8 13
 
2.0%
Latin
ValueCountFrequency (%)
C 72
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 720
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 221
30.7%
0 170
23.6%
4 107
14.9%
C 72
 
10.0%
6 29
 
4.0%
9 27
 
3.8%
5 27
 
3.8%
3 21
 
2.9%
2 18
 
2.5%
7 15
 
2.1%

강좌명
Text

Distinct63
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size708.0 B
2024-05-11T14:46:03.534299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length31
Mean length21.944444
Min length11

Characters and Unicode

Total characters1580
Distinct characters242
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)79.2%

Sample

1st row[유료]SCA 국제 커피 바리스타 중급자격증반(초보가능)
2nd row[경력단절예방](비대면)슬기로운 워킹맘&대디 특강
3rd row[유료]실버인지미술전문가 1급 자격증반
4th row[유료]셀프인테리어(수리기술)
5th row[경력단절예방]입사지원서컨설팅1기
ValueCountFrequency (%)
배우는 6
 
2.7%
실무 6
 
2.7%
유료 4
 
1.8%
매니저 4
 
1.8%
자격증취득 4
 
1.8%
취득과정(실기 3
 
1.4%
내일배움]쉽게 3
 
1.4%
자격증 3
 
1.4%
청소연구소(홈 3
 
1.4%
자격 3
 
1.4%
Other values (152) 183
82.4%
2024-05-11T14:46:04.308066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
 
9.5%
] 66
 
4.2%
[ 66
 
4.2%
배 42
 
2.7%
일 42
 
2.7%
( 37
 
2.3%
) 36
 
2.3%
움 36
 
2.3%
내 36
 
2.3%
실 31
 
2.0%
Other values (232) 1038
65.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1160
73.4%
Space Separator 150
 
9.5%
Open Punctuation 103
 
6.5%
Close Punctuation 102
 
6.5%
Decimal Number 32
 
2.0%
Other Symbol 14
 
0.9%
Other Punctuation 9
 
0.6%
Uppercase Letter 6
 
0.4%
Math Symbol 3
 
0.2%
Connector Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
배 42
 
3.6%
일 42
 
3.6%
움 36
 
3.1%
내 36
 
3.1%
실 31
 
2.7%
기 29
 
2.5%
자 27
 
2.3%
리 27
 
2.3%
유 24
 
2.1%
급 23
 
2.0%
Other values (207) 843
72.7%
Decimal Number
ValueCountFrequency (%)
1 13
40.6%
2 13
40.6%
4 3
 
9.4%
5 1
 
3.1%
6 1
 
3.1%
3 1
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
P 1
16.7%
R 1
16.7%
E 1
16.7%
A 1
16.7%
C 1
16.7%
S 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 4
44.4%
. 2
22.2%
& 2
22.2%
/ 1
 
11.1%
Close Punctuation
ValueCountFrequency (%)
] 66
64.7%
) 36
35.3%
Open Punctuation
ValueCountFrequency (%)
[ 66
64.1%
( 37
35.9%
Math Symbol
ValueCountFrequency (%)
+ 2
66.7%
~ 1
33.3%
Space Separator
ValueCountFrequency (%)
150
100.0%
Other Symbol
ValueCountFrequency (%)
★ 14
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1160
73.4%
Common 414
 
26.2%
Latin 6
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
배 42
 
3.6%
일 42
 
3.6%
움 36
 
3.1%
내 36
 
3.1%
실 31
 
2.7%
기 29
 
2.5%
자 27
 
2.3%
리 27
 
2.3%
유 24
 
2.1%
급 23
 
2.0%
Other values (207) 843
72.7%
Common
ValueCountFrequency (%)
150
36.2%
] 66
15.9%
[ 66
15.9%
( 37
 
8.9%
) 36
 
8.7%
★ 14
 
3.4%
1 13
 
3.1%
2 13
 
3.1%
, 4
 
1.0%
4 3
 
0.7%
Other values (9) 12
 
2.9%
Latin
ValueCountFrequency (%)
P 1
16.7%
R 1
16.7%
E 1
16.7%
A 1
16.7%
C 1
16.7%
S 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1160
73.4%
ASCII 406
 
25.7%
Misc Symbols 14
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
150
36.9%
] 66
16.3%
[ 66
16.3%
( 37
 
9.1%
) 36
 
8.9%
1 13
 
3.2%
2 13
 
3.2%
, 4
 
1.0%
4 3
 
0.7%
. 2
 
0.5%
Other values (14) 16
 
3.9%
Hangul
ValueCountFrequency (%)
배 42
 
3.6%
일 42
 
3.6%
움 36
 
3.1%
내 36
 
3.1%
실 31
 
2.7%
기 29
 
2.5%
자 27
 
2.3%
리 27
 
2.3%
유 24
 
2.1%
급 23
 
2.0%
Other values (207) 843
72.7%
Misc Symbols
ValueCountFrequency (%)
★ 14
100.0%

기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
21
72 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row21
2nd row21
3rd row21
4th row21
5th row21

Common Values

ValueCountFrequency (%)
21 72
100.0%

Length

2024-05-11T14:46:04.533366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:04.722776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
21 72
100.0%

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
서초여성인력개발센터
72 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서초여성인력개발센터 72
100.0%

Length

2024-05-11T14:46:04.919197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:05.098699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서초여성인력개발센터 72
100.0%

난이도코드
Categorical

Distinct6
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size708.0 B
J
30 
N
29 
A
6 
M
5 
C
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
J 30
41.7%
N 29
40.3%
A 6
 
8.3%
M 5
 
6.9%
C 1
 
1.4%
X 1
 
1.4%

Length

2024-05-11T14:46:05.279111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:05.495800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
j 30
41.7%
n 29
40.3%
a 6
 
8.3%
m 5
 
6.9%
c 1
 
1.4%
x 1
 
1.4%

난이도명
Categorical

Distinct6
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size708.0 B
초급
30 
관계없음
29 
초중급
6 
중급
5 
자격
 
1

Length

Max length4
Median length3.5
Mean length2.9027778
Min length2

Unique

Unique2 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
초급 30
41.7%
관계없음 29
40.3%
초중급 6
 
8.3%
중급 5
 
6.9%
자격 1
 
1.4%
중고급 1
 
1.4%

Length

2024-05-11T14:46:05.716439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:05.937601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초급 30
41.7%
관계없음 29
40.3%
초중급 6
 
8.3%
중급 5
 
6.9%
자격 1
 
1.4%
중고급 1
 
1.4%

수강신청 접수시작일
Real number (ℝ)

Distinct31
Distinct (%)43.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20239444
Minimum20230201
Maximum20240507
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-05-11T14:46:06.199830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20230201
5-th percentile20231169
Q120240226
median20240329
Q320240419
95-th percentile20240503
Maximum20240507
Range10306
Interquartile range (IQR)193

Descriptive statistics

Standard deviation2786.1952
Coefficient of variation (CV)0.00013766165
Kurtosis5.9135239
Mean20239444
Median Absolute Deviation (MAD)90
Skewness-2.7769718
Sum1.45724 × 109
Variance7762883.5
MonotonicityDecreasing
2024-05-11T14:46:06.460945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
20240401 7
 
9.7%
20240419 6
 
8.3%
20240102 5
 
6.9%
20240324 5
 
6.9%
20240226 4
 
5.6%
20240201 3
 
4.2%
20240501 3
 
4.2%
20240322 3
 
4.2%
20231201 3
 
4.2%
20240329 3
 
4.2%
Other values (21) 30
41.7%
ValueCountFrequency (%)
20230201 1
 
1.4%
20231124 2
 
2.8%
20231129 1
 
1.4%
20231201 3
4.2%
20240101 1
 
1.4%
20240102 5
6.9%
20240201 3
4.2%
20240216 1
 
1.4%
20240226 4
5.6%
20240301 2
 
2.8%
ValueCountFrequency (%)
20240507 2
 
2.8%
20240504 2
 
2.8%
20240503 2
 
2.8%
20240502 2
 
2.8%
20240501 3
4.2%
20240430 1
 
1.4%
20240422 2
 
2.8%
20240419 6
8.3%
20240417 1
 
1.4%
20240415 1
 
1.4%

수강신청 접수종료일
Real number (ℝ)

Distinct39
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240590
Minimum20240511
Maximum20240729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-05-11T14:46:06.707025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240511
5-th percentile20240517
Q120240524
median20240601
Q320240618
95-th percentile20240714
Maximum20240729
Range218
Interquartile range (IQR)94.25

Descriptive statistics

Standard deviation71.862337
Coefficient of variation (CV)3.5504072 × 10-6
Kurtosis-0.99508898
Mean20240590
Median Absolute Deviation (MAD)76
Skewness0.57605082
Sum1.4573225 × 109
Variance5164.1954
MonotonicityNot monotonic
2024-05-11T14:46:06.968565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
20240520 5
 
6.9%
20240601 4
 
5.6%
20240517 4
 
5.6%
20240618 4
 
5.6%
20240524 4
 
5.6%
20240605 3
 
4.2%
20240522 3
 
4.2%
20240527 3
 
4.2%
20240525 3
 
4.2%
20240531 2
 
2.8%
Other values (29) 37
51.4%
ValueCountFrequency (%)
20240511 1
 
1.4%
20240516 1
 
1.4%
20240517 4
5.6%
20240518 1
 
1.4%
20240520 5
6.9%
20240522 3
4.2%
20240523 2
 
2.8%
20240524 4
5.6%
20240525 3
4.2%
20240527 3
4.2%
ValueCountFrequency (%)
20240729 1
1.4%
20240722 1
1.4%
20240720 1
1.4%
20240716 1
1.4%
20240713 2
2.8%
20240710 1
1.4%
20240706 1
1.4%
20240704 2
2.8%
20240703 1
1.4%
20240702 2
2.8%

수강신청 접수시작시간
Date

Distinct5
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size708.0 B
Minimum2024-05-11 00:00:00
Maximum2024-05-11 15:10:00
2024-05-11T14:46:07.111582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:46:07.256210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

수강신청 접수마감시간
Categorical

Distinct15
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
24:00
32 
18:00
13 
09:00
5 
17:00
 
3
12:00
 
3
Other values (10)
16 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique6 ?
Unique (%)8.3%

Sample

1st row10:10
2nd row18:00
3rd row09:40
4th row09:00
5th row18:00

Common Values

ValueCountFrequency (%)
24:00 32
44.4%
18:00 13
18.1%
09:00 5
 
6.9%
17:00 3
 
4.2%
12:00 3
 
4.2%
13:30 3
 
4.2%
10:00 3
 
4.2%
10:10 2
 
2.8%
09:40 2
 
2.8%
15:00 1
 
1.4%
Other values (5) 5
 
6.9%

Length

2024-05-11T14:46:07.399650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
24:00 32
44.4%
18:00 13
18.1%
09:00 5
 
6.9%
17:00 3
 
4.2%
12:00 3
 
4.2%
13:30 3
 
4.2%
10:00 3
 
4.2%
10:10 2
 
2.8%
09:40 2
 
2.8%
15:00 1
 
1.4%
Other values (5) 5
 
6.9%

교육시작일
Real number (ℝ)

Distinct38
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240587
Minimum20240508
Maximum20240729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-05-11T14:46:07.580112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240508
5-th percentile20240519
Q120240524
median20240601
Q320240618
95-th percentile20240714
Maximum20240729
Range221
Interquartile range (IQR)94

Descriptive statistics

Standard deviation71.153716
Coefficient of variation (CV)3.5153979 × 10-6
Kurtosis-0.89273348
Mean20240587
Median Absolute Deviation (MAD)75
Skewness0.65169035
Sum1.4573222 × 109
Variance5062.8513
MonotonicityNot monotonic
2024-05-11T14:46:07.783698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
20240520 7
 
9.7%
20240601 4
 
5.6%
20240618 4
 
5.6%
20240524 4
 
5.6%
20240531 3
 
4.2%
20240529 3
 
4.2%
20240527 3
 
4.2%
20240523 3
 
4.2%
20240706 2
 
2.8%
20240508 2
 
2.8%
Other values (28) 37
51.4%
ValueCountFrequency (%)
20240508 2
 
2.8%
20240511 1
 
1.4%
20240518 1
 
1.4%
20240520 7
9.7%
20240521 1
 
1.4%
20240522 2
 
2.8%
20240523 3
4.2%
20240524 4
5.6%
20240525 2
 
2.8%
20240527 3
4.2%
ValueCountFrequency (%)
20240729 1
1.4%
20240722 1
1.4%
20240720 1
1.4%
20240716 1
1.4%
20240713 1
1.4%
20240710 1
1.4%
20240706 2
2.8%
20240704 2
2.8%
20240702 2
2.8%
20240701 1
1.4%

교육종료일
Real number (ℝ)

Distinct49
Distinct (%)68.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240686
Minimum20240520
Maximum20241007
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-05-11T14:46:07.974445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240520
5-th percentile20240524
Q120240615
median20240706
Q320240731
95-th percentile20240864
Maximum20241007
Range487
Interquartile range (IQR)116.25

Descriptive statistics

Standard deviation110.93076
Coefficient of variation (CV)5.4805832 × 10-6
Kurtosis-0.14796734
Mean20240686
Median Absolute Deviation (MAD)90.5
Skewness0.38621281
Sum1.4573294 × 109
Variance12305.634
MonotonicityNot monotonic
2024-05-11T14:46:08.166810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
20240627 3
 
4.2%
20240724 3
 
4.2%
20240719 3
 
4.2%
20240907 2
 
2.8%
20240522 2
 
2.8%
20240802 2
 
2.8%
20240524 2
 
2.8%
20240801 2
 
2.8%
20240817 2
 
2.8%
20240621 2
 
2.8%
Other values (39) 49
68.1%
ValueCountFrequency (%)
20240520 1
1.4%
20240522 2
2.8%
20240523 1
1.4%
20240524 2
2.8%
20240525 1
1.4%
20240528 1
1.4%
20240529 2
2.8%
20240531 2
2.8%
20240604 1
1.4%
20240610 1
1.4%
ValueCountFrequency (%)
20241007 1
1.4%
20240912 1
1.4%
20240907 2
2.8%
20240828 1
1.4%
20240817 2
2.8%
20240810 1
1.4%
20240809 2
2.8%
20240807 1
1.4%
20240806 1
1.4%
20240803 1
1.4%

교육시작시간
Date

Distinct9
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size708.0 B
Minimum2024-05-11 08:50:00
Maximum2024-05-11 19:00:00
2024-05-11T14:46:08.339134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:46:08.538285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

교육종료시간
Date

Distinct13
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Memory size708.0 B
Minimum2024-05-11 12:00:00
Maximum2024-05-11 22:00:00
2024-05-11T14:46:08.710061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:46:08.858467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

교육요일(월)
Boolean

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size204.0 B
True
72 
ValueCountFrequency (%)
True 72
100.0%
2024-05-11T14:46:09.033645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(화)
Boolean

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size204.0 B
True
72 
ValueCountFrequency (%)
True 72
100.0%
2024-05-11T14:46:09.158831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(수)
Boolean

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size204.0 B
True
72 
ValueCountFrequency (%)
True 72
100.0%
2024-05-11T14:46:09.290543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(목)
Boolean

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size204.0 B
True
72 
ValueCountFrequency (%)
True 72
100.0%
2024-05-11T14:46:09.410463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(금)
Boolean

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size204.0 B
True
72 
ValueCountFrequency (%)
True 72
100.0%
2024-05-11T14:46:09.509215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(토)
Boolean

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size204.0 B
True
72 
ValueCountFrequency (%)
True 72
100.0%
2024-05-11T14:46:09.626321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육요일(일)
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)7.1%
Missing58
Missing (%)80.6%
Memory size276.0 B
True
14 
(Missing)
58 
ValueCountFrequency (%)
True 14
 
19.4%
(Missing) 58
80.6%
2024-05-11T14:46:09.768011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

모집정원
Real number (ℝ)

Distinct11
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.861111
Minimum9
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-05-11T14:46:09.929929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile12
Q115
median20
Q324
95-th percentile24
Maximum40
Range31
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.094337
Coefficient of variation (CV)0.27009739
Kurtosis2.6540133
Mean18.861111
Median Absolute Deviation (MAD)4
Skewness0.74576449
Sum1358
Variance25.952269
MonotonicityNot monotonic
2024-05-11T14:46:10.065818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20 19
26.4%
24 19
26.4%
16 10
13.9%
15 9
12.5%
12 8
11.1%
18 2
 
2.8%
9 1
 
1.4%
25 1
 
1.4%
11 1
 
1.4%
10 1
 
1.4%
ValueCountFrequency (%)
9 1
 
1.4%
10 1
 
1.4%
11 1
 
1.4%
12 8
11.1%
15 9
12.5%
16 10
13.9%
18 2
 
2.8%
20 19
26.4%
24 19
26.4%
25 1
 
1.4%
ValueCountFrequency (%)
40 1
 
1.4%
25 1
 
1.4%
24 19
26.4%
20 19
26.4%
18 2
 
2.8%
16 10
13.9%
15 9
12.5%
12 8
11.1%
11 1
 
1.4%
10 1
 
1.4%

예비자모집인원
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1666667
Minimum0
Maximum20
Zeros20
Zeros (%)27.8%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-05-11T14:46:10.239583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q38
95-th percentile10.9
Maximum20
Range20
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.7173638
Coefficient of variation (CV)0.91303815
Kurtosis2.0824809
Mean5.1666667
Median Absolute Deviation (MAD)3.5
Skewness1.192547
Sum372
Variance22.253521
MonotonicityNot monotonic
2024-05-11T14:46:10.413595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
5 25
34.7%
0 20
27.8%
10 11
15.3%
8 4
 
5.6%
2 3
 
4.2%
20 3
 
4.2%
4 3
 
4.2%
9 1
 
1.4%
12 1
 
1.4%
6 1
 
1.4%
ValueCountFrequency (%)
0 20
27.8%
2 3
 
4.2%
4 3
 
4.2%
5 25
34.7%
6 1
 
1.4%
8 4
 
5.6%
9 1
 
1.4%
10 11
15.3%
12 1
 
1.4%
20 3
 
4.2%
ValueCountFrequency (%)
20 3
 
4.2%
12 1
 
1.4%
10 11
15.3%
9 1
 
1.4%
8 4
 
5.6%
6 1
 
1.4%
5 25
34.7%
4 3
 
4.2%
2 3
 
4.2%
0 20
27.8%

수강료(원)
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)43.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207182.36
Minimum0
Maximum1702000
Zeros13
Zeros (%)18.1%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-05-11T14:46:10.616797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1120000
median150000
Q3258180
95-th percentile458780
Maximum1702000
Range1702000
Interquartile range (IQR)138180

Descriptive statistics

Standard deviation235264.6
Coefficient of variation (CV)1.1355436
Kurtosis23.249618
Mean207182.36
Median Absolute Deviation (MAD)108180
Skewness4.0472993
Sum14917130
Variance5.5349431 × 1010
MonotonicityNot monotonic
2024-05-11T14:46:10.891147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 13
18.1%
120000 11
15.3%
258180 7
 
9.7%
150000 4
 
5.6%
350300 3
 
4.2%
132400 3
 
4.2%
180000 2
 
2.8%
346400 2
 
2.8%
293200 2
 
2.8%
144000 2
 
2.8%
Other values (21) 23
31.9%
ValueCountFrequency (%)
0 13
18.1%
70000 1
 
1.4%
80000 1
 
1.4%
90000 1
 
1.4%
120000 11
15.3%
126000 1
 
1.4%
132400 3
 
4.2%
134800 2
 
2.8%
144000 2
 
2.8%
150000 4
 
5.6%
ValueCountFrequency (%)
1702000 1
 
1.4%
900320 1
 
1.4%
526000 1
 
1.4%
470000 1
 
1.4%
449600 1
 
1.4%
406980 1
 
1.4%
387600 1
 
1.4%
350300 3
4.2%
346400 2
2.8%
323600 1
 
1.4%

접수방법(방문접수여부Y,N)
Boolean

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size204.0 B
True
51 
False
21 
ValueCountFrequency (%)
True 51
70.8%
False 21
29.2%
2024-05-11T14:46:11.074764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

접수방법(온라인접수여부Y,N)
Boolean

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size204.0 B
True
72 
ValueCountFrequency (%)
True 72
100.0%
2024-05-11T14:46:11.190180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

상세정보 주소
Text

UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size708.0 B
2024-05-11T14:46:11.565570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length90
Mean length90
Min length90

Characters and Unicode

Total characters6480
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

Unique72 ?
Unique (%)100.0%

Sample

1st rowhttps://seocho.seoulwomanup.or.kr/seocho/edu/selectEduProgram.do?sch_class_code=C100141967
2nd rowhttps://seocho.seoulwomanup.or.kr/seocho/edu/selectEduProgram.do?sch_class_code=C100141975
3rd rowhttps://seocho.seoulwomanup.or.kr/seocho/edu/selectEduProgram.do?sch_class_code=C100141966
4th rowhttps://seocho.seoulwomanup.or.kr/seocho/edu/selectEduProgram.do?sch_class_code=C100141963
5th rowhttps://seocho.seoulwomanup.or.kr/seocho/edu/selectEduProgram.do?sch_class_code=C100141948
ValueCountFrequency (%)
https://seocho.seoulwomanup.or.kr/seocho/edu/selecteduprogram.do?sch_class_code=c100141967 1
 
1.4%
https://seocho.seoulwomanup.or.kr/seocho/edu/selecteduprogram.do?sch_class_code=c100141975 1
 
1.4%
https://seocho.seoulwomanup.or.kr/seocho/edu/selecteduprogram.do?sch_class_code=c100140314 1
 
1.4%
https://seocho.seoulwomanup.or.kr/seocho/edu/selecteduprogram.do?sch_class_code=c100140311 1
 
1.4%
https://seocho.seoulwomanup.or.kr/seocho/edu/selecteduprogram.do?sch_class_code=c100141166 1
 
1.4%
https://seocho.seoulwomanup.or.kr/seocho/edu/selecteduprogram.do?sch_class_code=c100141806 1
 
1.4%
https://seocho.seoulwomanup.or.kr/seocho/edu/selecteduprogram.do?sch_class_code=c100141051 1
 
1.4%
https://seocho.seoulwomanup.or.kr/seocho/edu/selecteduprogram.do?sch_class_code=c100141347 1
 
1.4%
https://seocho.seoulwomanup.or.kr/seocho/edu/selecteduprogram.do?sch_class_code=c100140313 1
 
1.4%
https://seocho.seoulwomanup.or.kr/seocho/edu/selecteduprogram.do?sch_class_code=c100141359 1
 
1.4%
Other values (62) 62
86.1%
2024-05-11T14:46:12.162598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 720
 
11.1%
s 576
 
8.9%
e 504
 
7.8%
c 432
 
6.7%
/ 360
 
5.6%
h 288
 
4.4%
. 288
 
4.4%
r 288
 
4.4%
u 288
 
4.4%
d 288
 
4.4%
Other values (26) 2448
37.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4608
71.1%
Other Punctuation 792
 
12.2%
Decimal Number 648
 
10.0%
Uppercase Letter 216
 
3.3%
Connector Punctuation 144
 
2.2%
Math Symbol 72
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 720
15.6%
s 576
12.5%
e 504
10.9%
c 432
9.4%
h 288
 
6.2%
r 288
 
6.2%
u 288
 
6.2%
d 288
 
6.2%
a 216
 
4.7%
t 216
 
4.7%
Other values (7) 792
17.2%
Decimal Number
ValueCountFrequency (%)
1 221
34.1%
0 170
26.2%
4 107
16.5%
6 29
 
4.5%
9 27
 
4.2%
5 27
 
4.2%
3 21
 
3.2%
2 18
 
2.8%
7 15
 
2.3%
8 13
 
2.0%
Other Punctuation
ValueCountFrequency (%)
/ 360
45.5%
. 288
36.4%
? 72
 
9.1%
: 72
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
C 72
33.3%
P 72
33.3%
E 72
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 144
100.0%
Math Symbol
ValueCountFrequency (%)
= 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4824
74.4%
Common 1656
 
25.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 720
14.9%
s 576
11.9%
e 504
10.4%
c 432
9.0%
h 288
 
6.0%
r 288
 
6.0%
u 288
 
6.0%
d 288
 
6.0%
a 216
 
4.5%
t 216
 
4.5%
Other values (10) 1008
20.9%
Common
ValueCountFrequency (%)
/ 360
21.7%
. 288
17.4%
1 221
13.3%
0 170
10.3%
_ 144
 
8.7%
4 107
 
6.5%
? 72
 
4.3%
= 72
 
4.3%
: 72
 
4.3%
6 29
 
1.8%
Other values (6) 121
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 720
 
11.1%
s 576
 
8.9%
e 504
 
7.8%
c 432
 
6.7%
/ 360
 
5.6%
h 288
 
4.4%
. 288
 
4.4%
r 288
 
4.4%
u 288
 
4.4%
d 288
 
4.4%
Other values (26) 2448
37.8%

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
0C100141967[유료]SCA 국제 커피 바리스타 중급자격증반(초보가능)21서초여성인력개발센터C자격202405072024071309:0010:10202407062024090710:0013:00YYYYYY<NA>1510290000YYhttps://seocho.seoulwomanup.or.kr/seocho/edu/selectEduProgram.do?sch_class_code=C100141967
1C100141975[경력단절예방](비대면)슬기로운 워킹맘&대디 특강21서초여성인력개발센터N관계없음202405072024052309:0018:00202405232024052319:0021:00YYYYYY<NA>2000YYhttps://seocho.seoulwomanup.or.kr/seocho/edu/selectEduProgram.do?sch_class_code=C100141975
2C100141966[유료]실버인지미술전문가 1급 자격증반21서초여성인력개발센터N관계없음202405042024061509:0009:40202406152024062909:3013:30YYYYYY<NA>1510150000NYhttps://seocho.seoulwomanup.or.kr/seocho/edu/selectEduProgram.do?sch_class_code=C100141966
3C100141963[유료]셀프인테리어(수리기술)21서초여성인력개발센터N관계없음202405042024060109:0009:00202406012024061509:3016:30YYYYYY<NA>155220000YYhttps://seocho.seoulwomanup.or.kr/seocho/edu/selectEduProgram.do?sch_class_code=C100141963
4C100141948[경력단절예방]입사지원서컨설팅1기21서초여성인력개발센터N관계없음202405032024052709:0018:00202405292024052914:0018:00YYYYYY<NA>920YYhttps://seocho.seoulwomanup.or.kr/seocho/edu/selectEduProgram.do?sch_class_code=C100141948
5C100141946커리어디자인 교실6월21서초여성인력개발센터N관계없음202405032024060709:0018:00202406112024061319:0022:00YYYYYY<NA>1200YYhttps://seocho.seoulwomanup.or.kr/seocho/edu/selectEduProgram.do?sch_class_code=C100141946
6C100141939취업동기부여 프로그램21서초여성인력개발센터N관계없음202405022024051709:0017:00202405202024052014:0017:00YYYYYY<NA>2500YYhttps://seocho.seoulwomanup.or.kr/seocho/edu/selectEduProgram.do?sch_class_code=C100141939
7C10014192924년 12기 취업준비교실(스타트 과정)21서초여성인력개발센터N관계없음202405022024052009:0017:00202405272024053109:3013:30YYYYYY<NA>1800YYhttps://seocho.seoulwomanup.or.kr/seocho/edu/selectEduProgram.do?sch_class_code=C100141929
8C100141965[유료]온오프병행 초등수학지도사(저학년)21서초여성인력개발센터N관계없음202405012024061809:0009:00202406112024071609:3012:00YYYYYY<NA>205120000YYhttps://seocho.seoulwomanup.or.kr/seocho/edu/selectEduProgram.do?sch_class_code=C100141965
9C100141953[서울시지원] 커리어 매니저 양성과정21서초여성인력개발센터N관계없음202405012024061400:0015:00202406122024080914:0018:00YYYYYY<NA>20200YYhttps://seocho.seoulwomanup.or.kr/seocho/edu/selectEduProgram.do?sch_class_code=C100141953
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
62C100141654★신규★ [유료]큐텐 일본 셀러로 창업하기21서초여성인력개발센터J초급202401022024060409:0018:00202406042024062114:0017:00YYYYYY<NA>206180000NYhttps://seocho.seoulwomanup.or.kr/seocho/edu/selectEduProgram.do?sch_class_code=C100141654
63C100141451[유료]스마트폰 사진도 돈이 된다.21서초여성인력개발센터N관계없음202401022024060109:0018:00202406012024061510:0013:00YYYYYY<NA>16590000YYhttps://seocho.seoulwomanup.or.kr/seocho/edu/selectEduProgram.do?sch_class_code=C100141451
64C100141466[대기][내일배움]신규 아이돌봄 인력양성21서초여성인력개발센터J초급202401012024052000:0024:00202405202024061309:0018:00YYYYYY<NA>2410470000NYhttps://seocho.seoulwomanup.or.kr/seocho/edu/selectEduProgram.do?sch_class_code=C100141466
65C100141410[유료] 실전 사례를 통해 배우는 부동산 경매 (법원 실습)21서초여성인력개발센터N관계없음202312012024052209:0012:00202405222024062619:0021:00YYYYYY<NA>164120000YYhttps://seocho.seoulwomanup.or.kr/seocho/edu/selectEduProgram.do?sch_class_code=C100141410
66C100141899[유료] 실전 사례를 통해 배우는 부동산 경매 (법원 실습)21서초여성인력개발센터N관계없음202312012024053109:0012:00202405312024070510:0012:00YYYYYY<NA>204120000YYhttps://seocho.seoulwomanup.or.kr/seocho/edu/selectEduProgram.do?sch_class_code=C100141899
67C100141408[유료]스마트폰을 활용한 유튜브 크리에이터 5주 완성21서초여성인력개발센터N관계없음202312012024052409:0010:00202405242024062110:0013:00YYYYYY<NA>205120000YYhttps://seocho.seoulwomanup.or.kr/seocho/edu/selectEduProgram.do?sch_class_code=C100141408
68C100141414[유료] 돈버는 수익형 전자책 만들기21서초여성인력개발센터N관계없음202311292024052409:0018:00202405312024062814:0017:00YYYYYY<NA>165150000YYhttps://seocho.seoulwomanup.or.kr/seocho/edu/selectEduProgram.do?sch_class_code=C100141414
69C100141453[유료]자신감이 올라가는 스피치 트레이닝(기본)21서초여성인력개발센터J초급202311242024053009:0018:00202405302024062719:0021:00YYYYYY<NA>10580000YYhttps://seocho.seoulwomanup.or.kr/seocho/edu/selectEduProgram.do?sch_class_code=C100141453
70C100141868[유료]신뢰감을 주는 보이스 트레이닝(발성, 발음 교정)21서초여성인력개발센터N관계없음202311242024060109:0010:00202406012024070610:0012:00YYYYYY<NA>165150000YYhttps://seocho.seoulwomanup.or.kr/seocho/edu/selectEduProgram.do?sch_class_code=C100141868
71C100141299[전액국비지원] 국제물류 포워더 양성과정21서초여성인력개발센터A초중급202302012024051709:0018:00202405202024072409:3013:30YYYYYY<NA>4000YYhttps://seocho.seoulwomanup.or.kr/seocho/edu/selectEduProgram.do?sch_class_code=C100141299