Overview

Dataset statistics

Number of variables10
Number of observations51
Missing cells8
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory86.6 B

Variable types

Categorical5
Text3
Numeric2

Dataset

Description미술관 문화센터 운영현황 구분 : 엄마랑, 유아어린이, 청소년강좌, 성인강좌 등 내역 : 교육과정명, 정원, 수강인원 등 데이터
URLhttps://www.data.go.kr/data/15025509/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
정원 is highly overall correlated with 수강인원 and 1 other fieldsHigh correlation
수강인원 is highly overall correlated with 정원 and 3 other fieldsHigh correlation
구분 is highly overall correlated with 수강인원 and 2 other fieldsHigh correlation
강의일 is highly overall correlated with 정원 and 2 other fieldsHigh correlation
강의시간 is highly overall correlated with 수강인원 and 1 other fieldsHigh correlation
강의시수 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
수강인원 has 8 (15.7%) missing valuesMissing

Reproduction

Analysis started2023-12-12 08:45:56.724229
Analysis finished2023-12-12 08:45:57.905927
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
성인
19 
어린이초등이상
9 
영아5~28개월
8 
유아5세이상
8 
유아6세이상
4 

Length

Max length8
Median length7
Mean length5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영아5~28개월
2nd row영아5~28개월
3rd row영아5~28개월
4th row영아5~28개월
5th row영아5~28개월

Common Values

ValueCountFrequency (%)
성인 19
37.3%
어린이초등이상 9
17.6%
영아5~28개월 8
15.7%
유아5세이상 8
15.7%
유아6세이상 4
 
7.8%
청소년중학생 3
 
5.9%

Length

2023-12-12T17:45:57.993641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:45:58.137601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성인 19
37.3%
어린이초등이상 9
17.6%
영아5~28개월 8
15.7%
유아5세이상 8
15.7%
유아6세이상 4
 
7.8%
청소년중학생 3
 
5.9%

강좌명
Text

Distinct46
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T17:45:58.358384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length8.1568627
Min length2

Characters and Unicode

Total characters416
Distinct characters99
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)80.4%

Sample

1st row놀이미술-네버랜드1
2nd row놀이미술-네버랜드2
3rd row오감발달-딩동댕1
4th row오감발달-딩동댕2
5th row오감발달-딩동댕3
ValueCountFrequency (%)
new 5
 
7.6%
찾아가는미술관(학교연계 2
 
3.0%
수채화1 2
 
3.0%
가죽공예 2
 
3.0%
수채화3 2
 
3.0%
초.중급 2
 
3.0%
점토조형 2
 
3.0%
수채화2 2
 
3.0%
점토놀이 2
 
3.0%
명화요리-아트앤쿡 2
 
3.0%
Other values (42) 43
65.2%
2023-12-12T17:45:58.759458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23
 
5.5%
- 19
 
4.6%
술 16
 
3.8%
미 16
 
3.8%
. 14
 
3.4%
드 14
 
3.4%
화 12
 
2.9%
2 11
 
2.6%
1 11
 
2.6%
아 10
 
2.4%
Other values (89) 270
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 302
72.6%
Decimal Number 31
 
7.5%
Space Separator 23
 
5.5%
Dash Punctuation 19
 
4.6%
Lowercase Letter 15
 
3.6%
Other Punctuation 14
 
3.4%
Open Punctuation 6
 
1.4%
Close Punctuation 6
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
술 16
 
5.3%
미 16
 
5.3%
드 14
 
4.6%
화 12
 
4.0%
아 10
 
3.3%
랜 9
 
3.0%
버 9
 
3.0%
네 9
 
3.0%
이 8
 
2.6%
의 8
 
2.6%
Other values (76) 191
63.2%
Decimal Number
ValueCountFrequency (%)
2 11
35.5%
1 11
35.5%
3 6
19.4%
4 2
 
6.5%
5 1
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
w 5
33.3%
n 5
33.3%
e 5
33.3%
Space Separator
ValueCountFrequency (%)
23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Other Punctuation
ValueCountFrequency (%)
. 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 302
72.6%
Common 99
 
23.8%
Latin 15
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
술 16
 
5.3%
미 16
 
5.3%
드 14
 
4.6%
화 12
 
4.0%
아 10
 
3.3%
랜 9
 
3.0%
버 9
 
3.0%
네 9
 
3.0%
이 8
 
2.6%
의 8
 
2.6%
Other values (76) 191
63.2%
Common
ValueCountFrequency (%)
23
23.2%
- 19
19.2%
. 14
14.1%
2 11
11.1%
1 11
11.1%
3 6
 
6.1%
( 6
 
6.1%
) 6
 
6.1%
4 2
 
2.0%
5 1
 
1.0%
Latin
ValueCountFrequency (%)
w 5
33.3%
n 5
33.3%
e 5
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 302
72.6%
ASCII 114
 
27.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23
20.2%
- 19
16.7%
. 14
12.3%
2 11
9.6%
1 11
9.6%
3 6
 
5.3%
( 6
 
5.3%
) 6
 
5.3%
w 5
 
4.4%
n 5
 
4.4%
Other values (3) 8
 
7.0%
Hangul
ValueCountFrequency (%)
술 16
 
5.3%
미 16
 
5.3%
드 14
 
4.6%
화 12
 
4.0%
아 10
 
3.3%
랜 9
 
3.0%
버 9
 
3.0%
네 9
 
3.0%
이 8
 
2.6%
의 8
 
2.6%
Other values (76) 191
63.2%

강의일
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Memory size540.0 B
토
19 
화
10 
수
8 
금
4 
화,수,목,금
3 
Other values (6)
7 

Length

Max length22
Median length1
Mean length2.9019608
Min length1

Unique

Unique5 ?
Unique (%)9.8%

Sample

1st row화
2nd row화
3rd row수
4th row수
5th row수

Common Values

ValueCountFrequency (%)
토 19
37.3%
화 10
19.6%
수 8
15.7%
금 4
 
7.8%
화,수,목,금 3
 
5.9%
목 2
 
3.9%
6/10, 7/8, 8/12 1
 
2.0%
7/15, 7/22, 8/19, 8/26 1
 
2.0%
8/1, 8/8,8/22, 8/29 1
 
2.0%
8/10, 8/17, 8/24 1
 
2.0%

Length

2023-12-12T17:45:58.906898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
토 20
32.3%
화 10
16.1%
수 8
 
12.9%
금 4
 
6.5%
화,수,목,금 3
 
4.8%
목 2
 
3.2%
8/1 1
 
1.6%
1주 1
 
1.6%
8/24 1
 
1.6%
8/17 1
 
1.6%
Other values (11) 11
17.7%

시간
Text

Distinct30
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T17:45:59.085297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.784314
Min length6

Characters and Unicode

Total characters550
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)37.3%

Sample

1st row10:00~10:40
2nd row10:50~11:30
3rd row10:30~11:10
4th row11:20~12:00
5th row12:10~12:50
ValueCountFrequency (%)
10:00~12:30 7
 
13.0%
10:00~12:00 5
 
9.3%
14:00~16:30 3
 
5.6%
19:00~21:00 3
 
5.6%
※ 3
 
5.6%
기관협의 3
 
5.6%
10:00~11:30 3
 
5.6%
16:30~17:10 2
 
3.7%
10:50~11:30 2
 
3.7%
19:00~20:30 2
 
3.7%
Other values (19) 21
38.9%
2023-12-12T17:45:59.452117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 166
30.2%
1 114
20.7%
: 96
17.5%
~ 48
 
8.7%
2 33
 
6.0%
3 29
 
5.3%
4 16
 
2.9%
5 10
 
1.8%
6 7
 
1.3%
7
 
1.3%
Other values (7) 24
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 384
69.8%
Other Punctuation 99
 
18.0%
Math Symbol 48
 
8.7%
Other Letter 12
 
2.2%
Space Separator 7
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 166
43.2%
1 114
29.7%
2 33
 
8.6%
3 29
 
7.6%
4 16
 
4.2%
5 10
 
2.6%
6 7
 
1.8%
9 7
 
1.8%
7 2
 
0.5%
Other Letter
ValueCountFrequency (%)
기 3
25.0%
관 3
25.0%
협 3
25.0%
의 3
25.0%
Other Punctuation
ValueCountFrequency (%)
: 96
97.0%
※ 3
 
3.0%
Math Symbol
ValueCountFrequency (%)
~ 48
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 538
97.8%
Hangul 12
 
2.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 166
30.9%
1 114
21.2%
: 96
17.8%
~ 48
 
8.9%
2 33
 
6.1%
3 29
 
5.4%
4 16
 
3.0%
5 10
 
1.9%
6 7
 
1.3%
7
 
1.3%
Other values (3) 12
 
2.2%
Hangul
ValueCountFrequency (%)
기 3
25.0%
관 3
25.0%
협 3
25.0%
의 3
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 535
97.3%
Hangul 12
 
2.2%
Punctuation 3
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 166
31.0%
1 114
21.3%
: 96
17.9%
~ 48
 
9.0%
2 33
 
6.2%
3 29
 
5.4%
4 16
 
3.0%
5 10
 
1.9%
6 7
 
1.3%
7
 
1.3%
Other values (2) 9
 
1.7%
Punctuation
ValueCountFrequency (%)
※ 3
100.0%
Hangul
ValueCountFrequency (%)
기 3
25.0%
관 3
25.0%
협 3
25.0%
의 3
25.0%

강사명
Text

Distinct27
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T17:45:59.642884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.0980392
Min length2

Characters and Unicode

Total characters158
Distinct characters51
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)27.5%

Sample

1st row조주현
2nd row조주현
3rd row김권혜
4th row김권혜
5th row김권혜
ValueCountFrequency (%)
조주현 9
16.4%
외 4
 
7.3%
이유화 3
 
5.5%
정정 3
 
5.5%
김권혜 3
 
5.5%
송다혜 3
 
5.5%
김은영 3
 
5.5%
장미라 2
 
3.6%
윤채현 2
 
3.6%
박옥희 2
 
3.6%
Other values (17) 21
38.2%
2023-12-12T17:45:59.940409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
현 13
 
8.2%
주 11
 
7.0%
김 11
 
7.0%
조 10
 
6.3%
미 7
 
4.4%
영 7
 
4.4%
정 6
 
3.8%
혜 6
 
3.8%
박 5
 
3.2%
화 4
 
2.5%
Other values (41) 78
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 154
97.5%
Space Separator 4
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
현 13
 
8.4%
주 11
 
7.1%
김 11
 
7.1%
조 10
 
6.5%
미 7
 
4.5%
영 7
 
4.5%
정 6
 
3.9%
혜 6
 
3.9%
박 5
 
3.2%
화 4
 
2.6%
Other values (40) 74
48.1%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 154
97.5%
Common 4
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
현 13
 
8.4%
주 11
 
7.1%
김 11
 
7.1%
조 10
 
6.5%
미 7
 
4.5%
영 7
 
4.5%
정 6
 
3.9%
혜 6
 
3.9%
박 5
 
3.2%
화 4
 
2.6%
Other values (40) 74
48.1%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 154
97.5%
ASCII 4
 
2.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
현 13
 
8.4%
주 11
 
7.1%
김 11
 
7.1%
조 10
 
6.5%
미 7
 
4.5%
영 7
 
4.5%
정 6
 
3.9%
혜 6
 
3.9%
박 5
 
3.2%
화 4
 
2.6%
Other values (40) 74
48.1%
ASCII
ValueCountFrequency (%)
4
100.0%

강의시간
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
1
22 
2
15 
3
14 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 22
43.1%
2 15
29.4%
3 14
27.5%

Length

2023-12-12T17:46:00.081160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:46:00.180459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 22
43.1%
2 15
29.4%
3 14
27.5%

강의시수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
12
38 
8
6 
4
 
3
9
 
2
3
 
2

Length

Max length2
Median length2
Mean length1.745098
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row12
2nd row12
3rd row12
4th row12
5th row12

Common Values

ValueCountFrequency (%)
12 38
74.5%
8 6
 
11.8%
4 3
 
5.9%
9 2
 
3.9%
3 2
 
3.9%

Length

2023-12-12T17:46:00.308215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:46:00.433169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
12 38
74.5%
8 6
 
11.8%
4 3
 
5.9%
9 2
 
3.9%
3 2
 
3.9%

정원
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.137255
Minimum12
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-12T17:46:00.536169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile12
Q116
median16
Q320
95-th percentile25
Maximum100
Range88
Interquartile range (IQR)4

Descriptive statistics

Standard deviation12.865488
Coefficient of variation (CV)0.63888987
Kurtosis30.832167
Mean20.137255
Median Absolute Deviation (MAD)4
Skewness5.1412532
Sum1027
Variance165.52078
MonotonicityNot monotonic
2023-12-12T17:46:00.670405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
16 17
33.3%
12 9
17.6%
20 9
17.6%
25 9
17.6%
18 4
 
7.8%
22 1
 
2.0%
100 1
 
2.0%
48 1
 
2.0%
ValueCountFrequency (%)
12 9
17.6%
16 17
33.3%
18 4
 
7.8%
20 9
17.6%
22 1
 
2.0%
25 9
17.6%
48 1
 
2.0%
100 1
 
2.0%
ValueCountFrequency (%)
100 1
 
2.0%
48 1
 
2.0%
25 9
17.6%
22 1
 
2.0%
20 9
17.6%
18 4
 
7.8%
16 17
33.3%
12 9
17.6%

수강인원
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct21
Distinct (%)48.8%
Missing8
Missing (%)15.7%
Infinite0
Infinite (%)0.0%
Mean16.534884
Minimum1
Maximum154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-12T17:46:00.817374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q19.5
median14
Q317.5
95-th percentile24.8
Maximum154
Range153
Interquartile range (IQR)8

Descriptive statistics

Standard deviation22.397224
Coefficient of variation (CV)1.3545438
Kurtosis35.78575
Mean16.534884
Median Absolute Deviation (MAD)4
Skewness5.7270745
Sum711
Variance501.63566
MonotonicityNot monotonic
2023-12-12T17:46:01.088208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
12 7
13.7%
16 5
9.8%
17 4
 
7.8%
18 3
 
5.9%
11 2
 
3.9%
25 2
 
3.9%
7 2
 
3.9%
22 2
 
3.9%
8 2
 
3.9%
1 2
 
3.9%
Other values (11) 12
23.5%
(Missing) 8
15.7%
ValueCountFrequency (%)
1 2
 
3.9%
2 2
 
3.9%
3 1
 
2.0%
4 1
 
2.0%
7 2
 
3.9%
8 2
 
3.9%
9 1
 
2.0%
10 1
 
2.0%
11 2
 
3.9%
12 7
13.7%
ValueCountFrequency (%)
154 1
 
2.0%
25 2
 
3.9%
23 1
 
2.0%
22 2
 
3.9%
21 1
 
2.0%
20 1
 
2.0%
18 3
5.9%
17 4
7.8%
16 5
9.8%
15 1
 
2.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-06-21
51 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-21
2nd row2023-06-21
3rd row2023-06-21
4th row2023-06-21
5th row2023-06-21

Common Values

ValueCountFrequency (%)
2023-06-21 51
100.0%

Length

2023-12-12T17:46:01.392937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:46:01.500919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-21 51
100.0%

Interactions

2023-12-12T17:45:57.422457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:45:57.234874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:45:57.526475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:45:57.309590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:46:01.580579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분강좌명강의일시간강사명강의시간강의시수정원수강인원
구분1.0000.0000.3400.9640.9350.9700.6530.4270.979
강좌명0.0001.0000.9890.9490.9911.0000.9430.9831.000
강의일0.3400.9891.0000.0000.9880.6280.8890.7960.798
시간0.9640.9490.0001.0000.0000.9400.8290.0000.927
강사명0.9350.9910.9880.0001.0000.9990.9930.8911.000
강의시간0.9701.0000.6280.9400.9991.0000.5110.4300.835
강의시수0.6530.9430.8890.8290.9930.5111.0000.3920.528
정원0.4270.9830.7960.0000.8910.4300.3921.0000.418
수강인원0.9791.0000.7980.9271.0000.8350.5280.4181.000
2023-12-12T17:46:01.745646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분강의시수강의시간강의일
구분1.0000.5070.7630.158
강의시수0.5071.0000.4370.697
강의시간0.7630.4371.0000.419
강의일0.1580.6970.4191.000
2023-12-12T17:46:01.864213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정원수강인원구분강의일강의시간강의시수
정원1.0000.5490.2780.5760.4170.324
수강인원0.5491.0000.7910.6230.5110.453
구분0.2780.7911.0000.1580.7630.507
강의일0.5760.6230.1581.0000.4190.697
강의시간0.4170.5110.7630.4191.0000.437
강의시수0.3240.4530.5070.6970.4371.000

Missing values

2023-12-12T17:45:57.667695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:45:57.852543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

구분강좌명강의일시간강사명강의시간강의시수정원수강인원데이터기준일자
0영아5~28개월놀이미술-네버랜드1화10:00~10:40조주현11212<NA>2023-06-21
1영아5~28개월놀이미술-네버랜드2화10:50~11:30조주현11212<NA>2023-06-21
2영아5~28개월오감발달-딩동댕1수10:30~11:10김권혜1121282023-06-21
3영아5~28개월오감발달-딩동댕2수11:20~12:00김권혜11212112023-06-21
4영아5~28개월오감발달-딩동댕3수12:10~12:50김권혜1121292023-06-21
5영아5~28개월놀이미술-네버랜드3토10:00~10:40조주현11212122023-06-21
6영아5~28개월놀이미술-네버랜드4토10:50~11:30조주현11212122023-06-21
7영아5~28개월놀이미술-네버랜드5토11:40~12:20조주현11212122023-06-21
8유아5세이상창의미술-네버랜드1화15:40~16:20조주현11216112023-06-21
9유아5세이상창의미술-네버랜드2화16:30~17:10조주현11216142023-06-21
구분강좌명강의일시간강사명강의시간강의시수정원수강인원데이터기준일자
41성인new 누드크로키2수14:00~16:30전현숙31225172023-06-21
42성인도예목10:00~12:30신순미31220152023-06-21
43성인유화2.수10:00~12:30강남구31220202023-06-21
44성인new 한국화목10:00~12:30박인주3122042023-06-21
45성인점토조형금10:00~12:30김동준2122072023-06-21
46성인인물풍경스케치1.금10:00~12:30김덕미21225222023-06-21
47성인인물풍경스케치2.금14:00~16:30김덕미31225172023-06-21
48성인수채화3.토14:00~16:30염순영31225252023-06-21
49성인찾아가는미술관(기관연계)화,수,목,금※ 기관협의정정 외28100<NA>2023-06-21
50성인특강-토탈공예1주 토,3주 토10:00~12:00김은영 외2448<NA>2023-06-21