Overview

Dataset statistics

Number of variables19
Number of observations90
Missing cells43
Missing cells (%)2.5%
Duplicate rows1
Duplicate rows (%)1.1%
Total size in memory13.5 KiB
Average record size in memory153.5 B

Variable types

Unsupported2
Categorical13
Text4

Dataset

Description각 시설에서 운영하는 교육프로그램 운영현황이며 프로그램 운영기관, 프로그램 운영장소, 프로그램명, 프로그램내용 등을 제공합니다.
Author전라북도
URLhttps://www.bigdatahub.go.kr/index.jeonbuk?startPage=10&menuCd=DOM_000000103007001000&pListTypeStr=&pId=3079823

Alerts

Dataset has 1 (1.1%) duplicate rowsDuplicates
Unnamed: 13 is highly overall correlated with Unnamed: 2 and 10 other fieldsHigh correlation
Unnamed: 8 is highly overall correlated with Unnamed: 1 and 3 other fieldsHigh correlation
Unnamed: 14 is highly overall correlated with Unnamed: 1 and 7 other fieldsHigh correlation
Unnamed: 2 is highly overall correlated with Unnamed: 1 and 10 other fieldsHigh correlation
Unnamed: 17 is highly overall correlated with Unnamed: 1 and 7 other fieldsHigh correlation
Unnamed: 18 is highly overall correlated with Unnamed: 1 and 3 other fieldsHigh correlation
Unnamed: 6 is highly overall correlated with Unnamed: 1 and 4 other fieldsHigh correlation
Unnamed: 15 is highly overall correlated with Unnamed: 1 and 3 other fieldsHigh correlation
Unnamed: 1 is highly overall correlated with Unnamed: 2 and 10 other fieldsHigh correlation
Unnamed: 3 is highly overall correlated with Unnamed: 1 and 4 other fieldsHigh correlation
Unnamed: 9 is highly overall correlated with Unnamed: 1 and 4 other fieldsHigh correlation
Unnamed: 11 is highly overall correlated with Unnamed: 1 and 2 other fieldsHigh correlation
Unnamed: 16 is highly overall correlated with Unnamed: 1 and 4 other fieldsHigh correlation
Unnamed: 1 is highly imbalanced (67.2%)Imbalance
Unnamed: 8 is highly imbalanced (66.3%)Imbalance
Unnamed: 13 is highly imbalanced (67.2%)Imbalance
Unnamed: 14 is highly imbalanced (50.6%)Imbalance
2019년 토요프로그램 개설(운영) 현황(청소년수련관, 청소년문화의집) has 3 (3.3%) missing valuesMissing
Unnamed: 4 has 8 (8.9%) missing valuesMissing
Unnamed: 5 has 8 (8.9%) missing valuesMissing
Unnamed: 7 has 8 (8.9%) missing valuesMissing
Unnamed: 10 has 8 (8.9%) missing valuesMissing
Unnamed: 12 has 8 (8.9%) missing valuesMissing
2019년 토요프로그램 개설(운영) 현황(청소년수련관, 청소년문화의집) is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 12 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 00:58:58.303737
Analysis finished2024-03-14 00:59:00.898869
Duration2.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

2019년 토요프로그램 개설(운영) 현황(청소년수련관, 청소년문화의집)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3
Missing (%)3.3%
Memory size852.0 B

Unnamed: 1
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size852.0 B
전주
81 
<NA>
 
8
지역
 
1

Length

Max length4
Median length2
Mean length2.1777778
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row<NA>
2nd row지역
3rd row<NA>
4th row전주
5th row전주

Common Values

ValueCountFrequency (%)
전주 81
90.0%
<NA> 8
 
8.9%
지역 1
 
1.1%

Length

2024-03-14T09:59:00.952211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:59:01.043024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전주 81
90.0%
na 8
 
8.9%
지역 1
 
1.1%

Unnamed: 2
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size852.0 B
효자청소년문화의집
20 
솔내청소년수련관
17 
전주청소년문화의집
17 
덕진동 청소년문화의집
16 
완산청소년문화의집
11 
Other values (2)
9 

Length

Max length11
Median length9
Mean length8.7222222
Min length4

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row<NA>
2nd row프로그램 운영기관
3rd row<NA>
4th row솔내청소년수련관
5th row솔내청소년수련관

Common Values

ValueCountFrequency (%)
효자청소년문화의집 20
22.2%
솔내청소년수련관 17
18.9%
전주청소년문화의집 17
18.9%
덕진동 청소년문화의집 16
17.8%
완산청소년문화의집 11
12.2%
<NA> 8
 
8.9%
프로그램 운영기관 1
 
1.1%

Length

2024-03-14T09:59:01.149533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:59:01.248932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
효자청소년문화의집 20
18.7%
솔내청소년수련관 17
15.9%
전주청소년문화의집 17
15.9%
덕진동 16
15.0%
청소년문화의집 16
15.0%
완산청소년문화의집 11
10.3%
na 8
 
7.5%
프로그램 1
 
0.9%
운영기관 1
 
0.9%

Unnamed: 3
Categorical

HIGH CORRELATION 

Distinct40
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Memory size852.0 B
완산청소년문화의집 내
10 
<NA>
8 
솔내청소년수련관 내
6 
전주청소년문화의집 내
6 
중앙살림광장
 
5
Other values (35)
55 

Length

Max length24
Median length18
Mean length11.188889
Min length4

Unique

Unique26 ?
Unique (%)28.9%

Sample

1st row<NA>
2nd row프로그램 운영장소
3rd row<NA>
4th row솔내청소년수련관 내
5th row솔내청소년수련관 내

Common Values

ValueCountFrequency (%)
완산청소년문화의집 내 10
 
11.1%
<NA> 8
 
8.9%
솔내청소년수련관 내 6
 
6.7%
전주청소년문화의집 내 6
 
6.7%
중앙살림광장 5
 
5.6%
솔내청소년수련관 5
 
5.6%
덕진동 청소년문화의집 작은도서관(1층) 5
 
5.6%
효자청소년문화의집 4
 
4.4%
스포츠당구를찾는사람들 4
 
4.4%
한국전통문화전당 3
 
3.3%
Other values (30) 34
37.8%

Length

2024-03-14T09:59:01.367005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
내 28
16.9%
솔내청소년수련관 13
 
7.8%
효자청소년문화의집 12
 
7.2%
완산청소년문화의집 10
 
6.0%
덕진동 10
 
6.0%
청소년문화의집 9
 
5.4%
na 8
 
4.8%
전주청소년문화의집 7
 
4.2%
외 6
 
3.6%
효자청소년문화의집외 5
 
3.0%
Other values (35) 58
34.9%

Unnamed: 4
Text

MISSING 

Distinct81
Distinct (%)98.8%
Missing8
Missing (%)8.9%
Memory size852.0 B
2024-03-14T09:59:01.620421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length21
Mean length11.609756
Min length4

Characters and Unicode

Total characters952
Distinct characters292
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)97.6%

Sample

1st row프로그램명
2nd row솔내 토요예체능
3rd rowCHEER UP
4th row방과후 아카데미
5th row겨울방학 3색 체험활동
ValueCountFrequency (%)
high 4
 
2.2%
run 4
 
2.2%
청소년 4
 
2.2%
청소년의달기념행사 2
 
1.1%
youth 2
 
1.1%
여름방학 2
 
1.1%
청소년이 2
 
1.1%
솔내 2
 
1.1%
워크숍 2
 
1.1%
청소년의달 2
 
1.1%
Other values (151) 153
85.5%
2024-03-14T09:59:02.094455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
92
 
9.7%
청 22
 
2.3%
년 22
 
2.3%
소 22
 
2.3%
18
 
1.9%
H 14
 
1.5%
이 14
 
1.5%
로 14
 
1.5%
회 13
 
1.4%
의 12
 
1.3%
Other values (282) 709
74.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 715
75.1%
Space Separator 92
 
9.7%
Uppercase Letter 56
 
5.9%
Lowercase Letter 21
 
2.2%
Control 18
 
1.9%
Decimal Number 18
 
1.9%
Other Punctuation 17
 
1.8%
Close Punctuation 7
 
0.7%
Open Punctuation 7
 
0.7%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 22
 
3.1%
년 22
 
3.1%
소 22
 
3.1%
이 14
 
2.0%
로 14
 
2.0%
회 13
 
1.8%
의 12
 
1.7%
기 12
 
1.7%
아 12
 
1.7%
동 11
 
1.5%
Other values (235) 561
78.5%
Uppercase Letter
ValueCountFrequency (%)
H 14
25.0%
U 6
10.7%
E 5
 
8.9%
R 5
 
8.9%
N 4
 
7.1%
G 4
 
7.1%
I 4
 
7.1%
B 3
 
5.4%
O 2
 
3.6%
T 2
 
3.6%
Other values (7) 7
12.5%
Lowercase Letter
ValueCountFrequency (%)
o 7
33.3%
u 2
 
9.5%
p 2
 
9.5%
l 2
 
9.5%
e 1
 
4.8%
a 1
 
4.8%
n 1
 
4.8%
c 1
 
4.8%
k 1
 
4.8%
y 1
 
4.8%
Other values (2) 2
 
9.5%
Decimal Number
ValueCountFrequency (%)
3 6
33.3%
1 4
22.2%
2 3
16.7%
7 1
 
5.6%
8 1
 
5.6%
6 1
 
5.6%
0 1
 
5.6%
9 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
' 12
70.6%
! 2
 
11.8%
, 1
 
5.9%
. 1
 
5.9%
? 1
 
5.9%
Space Separator
ValueCountFrequency (%)
92
100.0%
Control
ValueCountFrequency (%)
18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 715
75.1%
Common 160
 
16.8%
Latin 77
 
8.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 22
 
3.1%
년 22
 
3.1%
소 22
 
3.1%
이 14
 
2.0%
로 14
 
2.0%
회 13
 
1.8%
의 12
 
1.7%
기 12
 
1.7%
아 12
 
1.7%
동 11
 
1.5%
Other values (235) 561
78.5%
Latin
ValueCountFrequency (%)
H 14
18.2%
o 7
 
9.1%
U 6
 
7.8%
E 5
 
6.5%
R 5
 
6.5%
N 4
 
5.2%
G 4
 
5.2%
I 4
 
5.2%
B 3
 
3.9%
O 2
 
2.6%
Other values (19) 23
29.9%
Common
ValueCountFrequency (%)
92
57.5%
18
 
11.2%
' 12
 
7.5%
) 7
 
4.4%
( 7
 
4.4%
3 6
 
3.8%
1 4
 
2.5%
2 3
 
1.9%
! 2
 
1.2%
7 1
 
0.6%
Other values (8) 8
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 715
75.1%
ASCII 237
 
24.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
92
38.8%
18
 
7.6%
H 14
 
5.9%
' 12
 
5.1%
o 7
 
3.0%
) 7
 
3.0%
( 7
 
3.0%
3 6
 
2.5%
U 6
 
2.5%
E 5
 
2.1%
Other values (37) 63
26.6%
Hangul
ValueCountFrequency (%)
청 22
 
3.1%
년 22
 
3.1%
소 22
 
3.1%
이 14
 
2.0%
로 14
 
2.0%
회 13
 
1.8%
의 12
 
1.7%
기 12
 
1.7%
아 12
 
1.7%
동 11
 
1.5%
Other values (235) 561
78.5%

Unnamed: 5
Text

MISSING 

Distinct77
Distinct (%)93.9%
Missing8
Missing (%)8.9%
Memory size852.0 B
2024-03-14T09:59:02.316061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length24
Mean length12.865854
Min length4

Characters and Unicode

Total characters1055
Distinct characters253
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

Unique74 ?
Unique (%)90.2%

Sample

1st row프로그램내용
2nd row뉴스포츠 활동을 통한 체력증진
3rd row치어댄스를 배워보는 시간
4th row해찬나래 방과후 아카데미
5th row겨울방학 체험활동
ValueCountFrequency (%)
및 19
 
8.0%
프로그램 9
 
3.8%
청소년 5
 
2.1%
체험 4
 
1.7%
토요프로그램 3
 
1.3%
등 3
 
1.3%
체험활동 3
 
1.3%
자원봉사활동 3
 
1.3%
시간 2
 
0.8%
공연 2
 
0.8%
Other values (173) 185
77.7%
2024-03-14T09:59:02.639754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
154
 
14.6%
동 31
 
2.9%
로 23
 
2.2%
프 21
 
2.0%
및 19
 
1.8%
그 19
 
1.8%
램 19
 
1.8%
활 18
 
1.7%
기 17
 
1.6%
, 16
 
1.5%
Other values (243) 718
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 859
81.4%
Space Separator 154
 
14.6%
Other Punctuation 18
 
1.7%
Control 9
 
0.9%
Uppercase Letter 7
 
0.7%
Decimal Number 6
 
0.6%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 31
 
3.6%
로 23
 
2.7%
프 21
 
2.4%
및 19
 
2.2%
그 19
 
2.2%
램 19
 
2.2%
활 18
 
2.1%
기 17
 
2.0%
사 14
 
1.6%
체 14
 
1.6%
Other values (227) 664
77.3%
Uppercase Letter
ValueCountFrequency (%)
D 2
28.6%
H 1
14.3%
T 1
14.3%
U 1
14.3%
O 1
14.3%
Y 1
14.3%
Decimal Number
ValueCountFrequency (%)
3 3
50.0%
4 1
 
16.7%
2 1
 
16.7%
1 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
, 16
88.9%
. 2
 
11.1%
Space Separator
ValueCountFrequency (%)
154
100.0%
Control
ValueCountFrequency (%)
9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 859
81.4%
Common 189
 
17.9%
Latin 7
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 31
 
3.6%
로 23
 
2.7%
프 21
 
2.4%
및 19
 
2.2%
그 19
 
2.2%
램 19
 
2.2%
활 18
 
2.1%
기 17
 
2.0%
사 14
 
1.6%
체 14
 
1.6%
Other values (227) 664
77.3%
Common
ValueCountFrequency (%)
154
81.5%
, 16
 
8.5%
9
 
4.8%
3 3
 
1.6%
. 2
 
1.1%
4 1
 
0.5%
2 1
 
0.5%
1 1
 
0.5%
) 1
 
0.5%
( 1
 
0.5%
Latin
ValueCountFrequency (%)
D 2
28.6%
H 1
14.3%
T 1
14.3%
U 1
14.3%
O 1
14.3%
Y 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 859
81.4%
ASCII 196
 
18.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
154
78.6%
, 16
 
8.2%
9
 
4.6%
3 3
 
1.5%
D 2
 
1.0%
. 2
 
1.0%
4 1
 
0.5%
H 1
 
0.5%
T 1
 
0.5%
U 1
 
0.5%
Other values (6) 6
 
3.1%
Hangul
ValueCountFrequency (%)
동 31
 
3.6%
로 23
 
2.7%
프 21
 
2.4%
및 19
 
2.2%
그 19
 
2.2%
램 19
 
2.2%
활 18
 
2.1%
기 17
 
2.0%
사 14
 
1.6%
체 14
 
1.6%
Other values (227) 664
77.3%

Unnamed: 6
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size852.0 B
예체능
22 
체험활동
19 
특기적성
13 
기타
10 
<NA>
8 
Other values (9)
18 

Length

Max length7
Median length6
Mean length3.6333333
Min length2

Unique

Unique6 ?
Unique (%)6.7%

Sample

1st row<NA>
2nd row분야
3rd row<NA>
4th row예체능활동
5th row예체능활동

Common Values

ValueCountFrequency (%)
예체능 22
24.4%
체험활동 19
21.1%
특기적성 13
14.4%
기타 10
11.1%
<NA> 8
 
8.9%
예체능활동 5
 
5.6%
기타 프로그램 4
 
4.4%
체험 3
 
3.3%
분야 1
 
1.1%
교과학습 1
 
1.1%
Other values (4) 4
 
4.4%

Length

2024-03-14T09:59:02.755132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
예체능 22
23.4%
체험활동 19
20.2%
기타 14
14.9%
특기적성 13
13.8%
na 8
 
8.5%
예체능활동 5
 
5.3%
프로그램 4
 
4.3%
체험 3
 
3.2%
분야 1
 
1.1%
교과학습 1
 
1.1%
Other values (4) 4
 
4.3%

Unnamed: 7
Text

MISSING 

Distinct57
Distinct (%)69.5%
Missing8
Missing (%)8.9%
Memory size852.0 B
2024-03-14T09:59:02.954265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9.5
Mean length5.6707317
Min length3

Characters and Unicode

Total characters465
Distinct characters20
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)54.9%

Sample

1st row운영기간
2nd row1월~12월
3rd row5월~10월
4th row1월~12월
5th row1월16일 ~ 18일
ValueCountFrequency (%)
5월 6
 
5.7%
4~11월 5
 
4.7%
1월~12월 5
 
4.7%
5월~11월 5
 
4.7%
11일 4
 
3.8%
8월 4
 
3.8%
1-12월 3
 
2.8%
4월~12월 3
 
2.8%
9월 3
 
2.8%
23일 2
 
1.9%
Other values (58) 66
62.3%
2024-03-14T09:59:03.268098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
월 106
22.8%
1 98
21.1%
~ 47
10.1%
2 38
 
8.2%
일 36
 
7.7%
5 26
 
5.6%
22
 
4.7%
4 19
 
4.1%
8 15
 
3.2%
3 11
 
2.4%
Other values (10) 47
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 241
51.8%
Other Letter 146
31.4%
Math Symbol 47
 
10.1%
Space Separator 22
 
4.7%
Dash Punctuation 7
 
1.5%
Control 2
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 98
40.7%
2 38
 
15.8%
5 26
 
10.8%
4 19
 
7.9%
8 15
 
6.2%
3 11
 
4.6%
0 10
 
4.1%
6 10
 
4.1%
9 8
 
3.3%
7 6
 
2.5%
Other Letter
ValueCountFrequency (%)
월 106
72.6%
일 36
 
24.7%
운 1
 
0.7%
영 1
 
0.7%
기 1
 
0.7%
간 1
 
0.7%
Math Symbol
ValueCountFrequency (%)
~ 47
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 319
68.6%
Hangul 146
31.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 98
30.7%
~ 47
14.7%
2 38
 
11.9%
5 26
 
8.2%
22
 
6.9%
4 19
 
6.0%
8 15
 
4.7%
3 11
 
3.4%
0 10
 
3.1%
6 10
 
3.1%
Other values (4) 23
 
7.2%
Hangul
ValueCountFrequency (%)
월 106
72.6%
일 36
 
24.7%
운 1
 
0.7%
영 1
 
0.7%
기 1
 
0.7%
간 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 319
68.6%
Hangul 146
31.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
월 106
72.6%
일 36
 
24.7%
운 1
 
0.7%
영 1
 
0.7%
기 1
 
0.7%
간 1
 
0.7%
ASCII
ValueCountFrequency (%)
1 98
30.7%
~ 47
14.7%
2 38
 
11.9%
5 26
 
8.2%
22
 
6.9%
4 19
 
6.0%
8 15
 
4.7%
3 11
 
3.4%
0 10
 
3.1%
6 10
 
3.1%
Other values (4) 23
 
7.2%

Unnamed: 8
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct8
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size852.0 B
토
75 
<NA>
8 
목~토
 
2
운영 요일
 
1
금,토
 
1
Other values (3)
 
3

Length

Max length5
Median length1
Mean length1.4666667
Min length1

Unique

Unique5 ?
Unique (%)5.6%

Sample

1st row<NA>
2nd row운영 요일
3rd row<NA>
4th row토
5th row토

Common Values

ValueCountFrequency (%)
토 75
83.3%
<NA> 8
 
8.9%
목~토 2
 
2.2%
운영 요일 1
 
1.1%
금,토 1
 
1.1%
금,토,일 1
 
1.1%
수,토 1
 
1.1%
금토일 1
 
1.1%

Length

2024-03-14T09:59:03.390369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:59:03.490258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
토 75
82.4%
na 8
 
8.8%
목~토 2
 
2.2%
운영 1
 
1.1%
요일 1
 
1.1%
금,토 1
 
1.1%
금,토,일 1
 
1.1%
수,토 1
 
1.1%
금토일 1
 
1.1%

Unnamed: 9
Categorical

HIGH CORRELATION 

Distinct34
Distinct (%)37.8%
Missing0
Missing (%)0.0%
Memory size852.0 B
연 1회
14 
기타
13 
<NA>
8 
월1회
6 
상시
5 
Other values (29)
44 

Length

Max length6
Median length5
Mean length3.2666667
Min length2

Unique

Unique21 ?
Unique (%)23.3%

Sample

1st row<NA>
2nd row운영 형태
3rd row<NA>
4th row매월 2회
5th row매월 2회

Common Values

ValueCountFrequency (%)
연 1회 14
15.6%
기타 13
14.4%
<NA> 8
 
8.9%
월1회 6
 
6.7%
상시 5
 
5.6%
연1회 4
 
4.4%
6회기 4
 
4.4%
월 1회 3
 
3.3%
매월 2회 3
 
3.3%
월2회 3
 
3.3%
Other values (24) 27
30.0%

Length

2024-03-14T09:59:03.612407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1회 19
16.5%
연 15
13.0%
기타 13
11.3%
na 8
 
7.0%
월1회 6
 
5.2%
상시 5
 
4.3%
월 5
 
4.3%
연1회 4
 
3.5%
6회기 4
 
3.5%
매월 4
 
3.5%
Other values (23) 32
27.8%

Unnamed: 10
Text

MISSING 

Distinct41
Distinct (%)50.0%
Missing8
Missing (%)8.9%
Memory size852.0 B
2024-03-14T09:59:03.774867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length11
Mean length11.292683
Min length4

Characters and Unicode

Total characters926
Distinct characters24
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)32.9%

Sample

1st row운영시간
2nd row10:00~12:00
3rd row10:00-12:00
4th row10:00-15:00
5th row14:00~17:00
ValueCountFrequency (%)
10:00-12:00 9
 
10.7%
10:00~15:00 7
 
8.3%
10:00~12:00 6
 
7.1%
14:00-16:00 6
 
7.1%
14:00~17:00 5
 
6.0%
12:00~18:00 4
 
4.8%
13:00~15:00 3
 
3.6%
14:00~16:00 3
 
3.6%
10:30~12:00 2
 
2.4%
14:00~15:30 2
 
2.4%
Other values (33) 37
44.0%
2024-03-14T09:59:04.111449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 356
38.4%
: 164
17.7%
1 159
17.2%
~ 60
 
6.5%
2 33
 
3.6%
3 24
 
2.6%
- 22
 
2.4%
4 21
 
2.3%
5 17
 
1.8%
7 14
 
1.5%
Other values (14) 56
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 654
70.6%
Other Punctuation 164
 
17.7%
Math Symbol 60
 
6.5%
Dash Punctuation 22
 
2.4%
Other Letter 13
 
1.4%
Space Separator 6
 
0.6%
Open Punctuation 3
 
0.3%
Close Punctuation 3
 
0.3%
Control 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 356
54.4%
1 159
24.3%
2 33
 
5.0%
3 24
 
3.7%
4 21
 
3.2%
5 17
 
2.6%
7 14
 
2.1%
6 12
 
1.8%
8 12
 
1.8%
9 6
 
0.9%
Other Letter
ValueCountFrequency (%)
유 3
23.1%
동 3
23.1%
적 3
23.1%
시 1
 
7.7%
간 1
 
7.7%
영 1
 
7.7%
운 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
: 164
100.0%
Math Symbol
ValueCountFrequency (%)
~ 60
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 913
98.6%
Hangul 13
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 356
39.0%
: 164
18.0%
1 159
17.4%
~ 60
 
6.6%
2 33
 
3.6%
3 24
 
2.6%
- 22
 
2.4%
4 21
 
2.3%
5 17
 
1.9%
7 14
 
1.5%
Other values (7) 43
 
4.7%
Hangul
ValueCountFrequency (%)
유 3
23.1%
동 3
23.1%
적 3
23.1%
시 1
 
7.7%
간 1
 
7.7%
영 1
 
7.7%
운 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 913
98.6%
Hangul 13
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 356
39.0%
: 164
18.0%
1 159
17.4%
~ 60
 
6.6%
2 33
 
3.6%
3 24
 
2.6%
- 22
 
2.4%
4 21
 
2.3%
5 17
 
1.9%
7 14
 
1.5%
Other values (7) 43
 
4.7%
Hangul
ValueCountFrequency (%)
유 3
23.1%
동 3
23.1%
적 3
23.1%
시 1
 
7.7%
간 1
 
7.7%
영 1
 
7.7%
운 1
 
7.7%

Unnamed: 11
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size852.0 B
청소년
29 
중고
12 
<NA>
8 
초
7 
초중고
6 
Other values (16)
28 

Length

Max length14
Median length13
Mean length3.7111111
Min length1

Unique

Unique10 ?
Unique (%)11.1%

Sample

1st row<NA>
2nd row참여 대상
3rd row<NA>
4th row초
5th row초

Common Values

ValueCountFrequency (%)
청소년 29
32.2%
중고 12
13.3%
<NA> 8
 
8.9%
초 7
 
7.8%
초중고 6
 
6.7%
중 4
 
4.4%
고 4
 
4.4%
지역 주민 및 청소년 4
 
4.4%
가족 2
 
2.2%
지역주민 및 청소년 2
 
2.2%
Other values (11) 12
13.3%

Length

2024-03-14T09:59:04.284295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
청소년 39
33.6%
중고 12
 
10.3%
na 8
 
6.9%
초중고 7
 
6.0%
및 7
 
6.0%
초 7
 
6.0%
중 4
 
3.4%
고 4
 
3.4%
지역 4
 
3.4%
주민 4
 
3.4%
Other values (16) 20
17.2%

Unnamed: 12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8
Missing (%)8.9%
Memory size852.0 B

Unnamed: 13
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size852.0 B
무료
81 
<NA>
 
8
수강료 (참가비)
 
1

Length

Max length9
Median length2
Mean length2.2555556
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row<NA>
2nd row수강료 (참가비)
3rd row<NA>
4th row무료
5th row무료

Common Values

ValueCountFrequency (%)
무료 81
90.0%
<NA> 8
 
8.9%
수강료 (참가비) 1
 
1.1%

Length

2024-03-14T09:59:04.390423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:59:04.480577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 81
89.0%
na 8
 
8.8%
수강료 1
 
1.1%
참가비 1
 
1.1%

Unnamed: 14
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size852.0 B
자유
68 
버스
12 
<NA>
8 
이동 수단
 
1
자유 및 버스
 
1

Length

Max length7
Median length2
Mean length2.2666667
Min length2

Unique

Unique2 ?
Unique (%)2.2%

Sample

1st row<NA>
2nd row이동 수단
3rd row<NA>
4th row자유
5th row자유

Common Values

ValueCountFrequency (%)
자유 68
75.6%
버스 12
 
13.3%
<NA> 8
 
8.9%
이동 수단 1
 
1.1%
자유 및 버스 1
 
1.1%

Length

2024-03-14T09:59:04.570602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:59:04.668137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자유 69
74.2%
버스 13
 
14.0%
na 8
 
8.6%
이동 1
 
1.1%
수단 1
 
1.1%
및 1
 
1.1%

Unnamed: 15
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size852.0 B
없음
25 
간식
18 
간식제공
13 
식사(간식)
12 
<NA>
8 
Other values (9)
14 

Length

Max length10
Median length9
Mean length3.5555556
Min length2

Unique

Unique6 ?
Unique (%)6.7%

Sample

1st row<NA>
2nd row식사 (간식) 제공
3rd row<NA>
4th row없음
5th row없음

Common Values

ValueCountFrequency (%)
없음 25
27.8%
간식 18
20.0%
간식제공 13
14.4%
식사(간식) 12
13.3%
<NA> 8
 
8.9%
도시락 3
 
3.3%
간식/식사 3
 
3.3%
간식 및 식사제공 2
 
2.2%
식사 (간식) 제공 1
 
1.1%
과자,음료 1
 
1.1%
Other values (4) 4
 
4.4%

Length

2024-03-14T09:59:04.797311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
없음 25
25.8%
간식 22
22.7%
간식제공 13
13.4%
식사(간식 12
12.4%
na 8
 
8.2%
도시락 3
 
3.1%
간식/식사 3
 
3.1%
및 2
 
2.1%
식사제공 2
 
2.1%
제공 2
 
2.1%
Other values (5) 5
 
5.2%

Unnamed: 16
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Memory size852.0 B
정유진
8 
추진력
8 
<NA>
7 
최은영
7 
기민주
7 
Other values (26)
53 

Length

Max length6
Median length3
Mean length3.1
Min length2

Unique

Unique11 ?
Unique (%)12.2%

Sample

1st row<NA>
2nd row운영 담당자
3rd row이름
4th row기민주
5th row기민주

Common Values

ValueCountFrequency (%)
정유진 8
 
8.9%
추진력 8
 
8.9%
<NA> 7
 
7.8%
최은영 7
 
7.8%
기민주 7
 
7.8%
박미경 5
 
5.6%
김소라 5
 
5.6%
임은종 5
 
5.6%
최지혜 3
 
3.3%
송희남 3
 
3.3%
Other values (21) 32
35.6%

Length

2024-03-14T09:59:04.899621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
정유진 8
 
8.8%
추진력 8
 
8.8%
na 7
 
7.7%
최은영 7
 
7.7%
기민주 7
 
7.7%
박미경 5
 
5.5%
김소라 5
 
5.5%
임은종 5
 
5.5%
최지혜 3
 
3.3%
송희남 3
 
3.3%
Other values (22) 33
36.3%

Unnamed: 17
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Memory size852.0 B
278-8588
16 
273-5501
14 
236-7142
13 
226-5193
11 
273-7997
9 
Other values (12)
27 

Length

Max length8
Median length8
Mean length7.6444444
Min length4

Unique

Unique8 ?
Unique (%)8.9%

Sample

1st row<NA>
2nd row<NA>
3rd row연락처 (전화)
4th row278-8588
5th row278-8588

Common Values

ValueCountFrequency (%)
278-8588 16
17.8%
273-5501 14
15.6%
236-7142 13
14.4%
226-5193 11
12.2%
273-7997 9
10.0%
<NA> 8
8.9%
273-7660 5
 
5.6%
236-7144 4
 
4.4%
236-7145 2
 
2.2%
연락처 (전화) 1
 
1.1%
Other values (7) 7
7.8%

Length

2024-03-14T09:59:05.012654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
278-8588 16
17.6%
273-5501 14
15.4%
236-7142 13
14.3%
226-5193 11
12.1%
273-7997 9
9.9%
na 8
8.8%
273-7660 5
 
5.5%
236-7144 4
 
4.4%
236-7145 2
 
2.2%
273-7998 1
 
1.1%
Other values (8) 8
8.8%

Unnamed: 18
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Memory size852.0 B
전주시 덕진구 동부대로 1079
17 
전주시 덕진구 기린대로 541-11
16 
전주시 완산구 우전2길 20
13 
<NA>
8 
전주시 완산구 태진로 15-14
7 
Other values (14)
29 

Length

Max length20
Median length18
Mean length16.566667
Min length4

Unique

Unique8 ?
Unique (%)8.9%

Sample

1st row<NA>
2nd row운영기관주소 (새주소 기입)
3rd row<NA>
4th row전주시 덕진구 동부대로 1079
5th row전주시 덕진구 동부대로 1079

Common Values

ValueCountFrequency (%)
전주시 덕진구 동부대로 1079 17
18.9%
전주시 덕진구 기린대로 541-11 16
17.8%
전주시 완산구 우전2길 20 13
14.4%
<NA> 8
8.9%
전주시 완산구 태진로 15-14 7
7.8%
전주시 완산구 선너머 2길 37 6
 
6.7%
전주시 완산구 선너머2길 37 5
 
5.6%
전주시 완산구 우전2길 22 4
 
4.4%
전주시 완산구 태진로 15-15 2
 
2.2%
전주시 완산구 우전2길 23 2
 
2.2%
Other values (9) 10
11.1%

Length

2024-03-14T09:59:05.119274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 81
23.8%
완산구 48
14.1%
덕진구 33
9.7%
우전2길 20
 
5.9%
동부대로 17
 
5.0%
1079 17
 
5.0%
태진로 17
 
5.0%
기린대로 16
 
4.7%
541-11 16
 
4.7%
20 13
 
3.8%
Other values (20) 63
18.5%

Correlations

2024-03-14T09:59:05.200116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18
Unnamed: 11.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.6891.0001.0001.000NaN1.000
Unnamed: 21.0001.0000.9950.9460.9770.8410.9310.6420.9900.9280.9251.0000.7610.9061.0001.0001.000
Unnamed: 31.0000.9951.0001.0000.9820.7490.8950.8100.8320.8430.8821.0000.9920.9430.8740.9400.830
Unnamed: 41.0000.9461.0001.0000.9951.0001.0001.0000.9940.0000.9951.0001.0000.9900.9910.8550.908
Unnamed: 51.0000.9770.9820.9951.0000.0000.9951.0000.9740.9770.9871.0000.0000.0000.0000.9220.997
Unnamed: 61.0000.8410.7491.0000.0001.0000.8930.8000.9340.8800.8371.0000.7200.6870.8780.6250.773
Unnamed: 71.0000.9310.8951.0000.9950.8931.0001.0000.9020.8840.6881.0000.0000.9510.7210.0000.959
Unnamed: 81.0000.6420.8101.0001.0000.8001.0001.0000.8120.8500.8151.0000.7280.7450.8080.0000.645
Unnamed: 91.0000.9900.8320.9940.9740.9340.9020.8121.0000.8830.8511.0000.8520.8570.8750.9490.856
Unnamed: 101.0000.9280.8430.0000.9770.8800.8840.8500.8831.0000.3781.0000.3600.9350.9050.8650.914
Unnamed: 111.0000.9250.8820.9950.9870.8370.6880.8150.8510.3781.0001.0000.8200.2800.8500.6040.672
Unnamed: 130.6891.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000NaN1.000
Unnamed: 141.0000.7610.9921.0000.0000.7200.0000.7280.8520.3600.8201.0001.0000.8930.9510.9410.755
Unnamed: 151.0000.9060.9430.9900.0000.6870.9510.7450.8570.9350.2801.0000.8931.0000.9020.7350.739
Unnamed: 161.0001.0000.8740.9910.0000.8780.7210.8080.8750.9050.8501.0000.9510.9021.0000.9570.834
Unnamed: 17NaN1.0000.9400.8550.9220.6250.0000.0000.9490.8650.604NaN0.9410.7350.9571.0000.948
Unnamed: 181.0001.0000.8300.9080.9970.7730.9590.6450.8560.9140.6721.0000.7550.7390.8340.9481.000
2024-03-14T09:59:05.354801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 13Unnamed: 8Unnamed: 14Unnamed: 16Unnamed: 2Unnamed: 17Unnamed: 9Unnamed: 11Unnamed: 18Unnamed: 3Unnamed: 6Unnamed: 15Unnamed: 1
Unnamed: 131.0000.9680.9870.8140.9751.0000.7830.8800.8940.7330.9290.9290.484
Unnamed: 80.9681.0000.5890.4150.4480.0000.4030.4760.3240.3680.5130.4460.968
Unnamed: 140.9870.5891.0000.6800.5920.6750.4930.4700.4740.7110.4830.7190.987
Unnamed: 160.8140.4150.6801.0000.8350.6200.3590.3660.3530.3210.4470.4930.814
Unnamed: 20.9750.4480.5920.8351.0000.9320.7450.6810.9180.7180.5910.7050.975
Unnamed: 171.0000.0000.6750.6200.9321.0000.5720.2260.7050.5020.2730.3641.000
Unnamed: 90.7830.4030.4930.3590.7450.5721.0000.3440.3570.2690.5390.3920.783
Unnamed: 110.8800.4760.4700.3660.6810.2260.3441.0000.2550.3520.4420.0730.880
Unnamed: 180.8940.3240.4740.3530.9180.7050.3570.2551.0000.2960.3790.3450.894
Unnamed: 30.7330.3680.7110.3210.7180.5020.2690.3520.2961.0000.2280.4720.733
Unnamed: 60.9290.5130.4830.4470.5910.2730.5390.4420.3790.2281.0000.2460.929
Unnamed: 150.9290.4460.7190.4930.7050.3640.3920.0730.3450.4720.2461.0000.929
Unnamed: 10.4840.9680.9870.8140.9751.0000.7830.8800.8940.7330.9290.9291.000
2024-03-14T09:59:05.472750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 6Unnamed: 8Unnamed: 9Unnamed: 11Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18
Unnamed: 11.0000.9750.7330.9290.9680.7830.8800.4840.9870.9290.8141.0000.894
Unnamed: 20.9751.0000.7180.5910.4480.7450.6810.9750.5920.7050.8350.9320.918
Unnamed: 30.7330.7181.0000.2280.3680.2690.3520.7330.7110.4720.3210.5020.296
Unnamed: 60.9290.5910.2281.0000.5130.5390.4420.9290.4830.2460.4470.2730.379
Unnamed: 80.9680.4480.3680.5131.0000.4030.4760.9680.5890.4460.4150.0000.324
Unnamed: 90.7830.7450.2690.5390.4031.0000.3440.7830.4930.3920.3590.5720.357
Unnamed: 110.8800.6810.3520.4420.4760.3441.0000.8800.4700.0730.3660.2260.255
Unnamed: 130.4840.9750.7330.9290.9680.7830.8801.0000.9870.9290.8141.0000.894
Unnamed: 140.9870.5920.7110.4830.5890.4930.4700.9871.0000.7190.6800.6750.474
Unnamed: 150.9290.7050.4720.2460.4460.3920.0730.9290.7191.0000.4930.3640.345
Unnamed: 160.8140.8350.3210.4470.4150.3590.3660.8140.6800.4931.0000.6200.353
Unnamed: 171.0000.9320.5020.2730.0000.5720.2261.0000.6750.3640.6201.0000.705
Unnamed: 180.8940.9180.2960.3790.3240.3570.2550.8940.4740.3450.3530.7051.000

Missing values

2024-03-14T09:59:00.095440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T09:59:00.281742image/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.
2024-03-14T09:59:00.464995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

2019년 토요프로그램 개설(운영) 현황(청소년수련관, 청소년문화의집)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18
0NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>
1순지역프로그램 운영기관프로그램 운영장소프로그램명프로그램내용분야운영기간운영 요일운영 형태운영시간참여 대상참여\n인원수강료 (참가비)이동 수단식사 (간식) 제공운영 담당자<NA>운영기관주소 (새주소 기입)
2NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA>이름연락처 (전화)<NA>
31전주솔내청소년수련관솔내청소년수련관 내솔내 토요예체능뉴스포츠 활동을 통한 체력증진예체능활동1월~12월토매월 2회10:00~12:00초16명무료자유없음기민주278-8588전주시 덕진구 동부대로 1079
42전주솔내청소년수련관솔내청소년수련관 내CHEER UP치어댄스를 배워보는 시간예체능활동5월~10월토매월 2회10:00-12:00초15명무료자유없음기민주278-8588전주시 덕진구 동부대로 1079
53전주솔내청소년수련관솔내청소년수련관 내방과후 아카데미해찬나래 방과후 아카데미체험활동1월~12월토매월 1회10:00-15:00초40명무료버스도시락유영미278-4288전주시 덕진구 동부대로 1079
64전주솔내청소년수련관솔내청소년수련관,메가박스겨울방학 3색 체험활동겨울방학 체험활동체험활동1월16일 ~ 18일목~토기타14:00~17:00초15명무료버스과자,음료기민주278-8588전주시 덕진구 동부대로 1079
75전주솔내청소년수련관솔내청소년수련관동아리 발대식 (해오름식)청소년운영위원회 및 동아리 발대식특기적성4월 6일토기타12:00~17:00중고200명무료자유빵,음료임은종278-8588전주시 덕진구 동부대로 1079
86전주솔내청소년수련관솔내청소년수련관청소년의달 기념 문화행사청소년 주간기념 체험 및 문화행사 프로그램기타5월 11일토기타12:00~17:00초중고300명무료자유도시락임은종278-8588전주시 덕진구 동부대로 1079
97전주솔내청소년수련관솔내청소년수련관도심속 공기정화 프로젝트 지금부터 맑음미세먼지, 미래 친환경 프로그램체험활동5월~11월토기타13:00~15:00중20명무료자유없음강진옥278-8588전주시 덕진구 동부대로 1079
2019년 토요프로그램 개설(운영) 현황(청소년수련관, 청소년문화의집)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18
8078전주효자청소년문화의집효자청소년문화의집 외전라북도동아리지원사업어울림마당공연예체능4~11월토상시14:00-16:00중고20명무료자유간식최은영236-7144전주시 완산구 우전2길 22
8179전주효자청소년문화의집한국전통문화전당전주시평생학습한마당체험부스,락페스티벌,동아리공연기타8월 30일~9월1일금토일3회기10:00-17:00초중고, 시민300명무료자유간식최은영236-7145전주시 완산구 우전2길 23
8280전주효자청소년문화의집효자청소년문화의집음치탈출프로젝트노래교실 및 대회개최예체능10~11월토6회기14:00-16:00중고200명무료자유간식추진력236-7142전주시 완산구 우전2길 20
8381전주효자청소년문화의집효자청소년문화의집 외 4곳힐링워킹포토 시즌2자연속 힐링프로그램예체능4-11월토6회기10:00-17:00중고20명무료버스간식/식사김소라236-7142전주시 완산구 우전2길 20
84NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>
851) 교과학습 프로그램 : 국어, 영어, 수학, 사회, 과학, 한자, 역사(한국사), 논술, 공부방 등 학습중심 프로그램<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>
862) 특기적성 프로그램 : 독서, 컴퓨터, 문학읽기토론, 토론, 기자체험, 리포터체험, 브레인게임, 상담, 심리검사, 과학실험, 성교육, 인성교육, 창의력향상, 놀이마당, 대학생멘토링, 바둑, 보드게임, 리더쉽, \n 웅변, 교양강좌, NIE, 로봇교실, 레고, 청소년기자단, 마술 등<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>
873) 예체능 프로그램 : 미술, 손글씨, 찰흙, 기타, 댄스, 페이스페인팅, 리본, 비즈, 비누, 동화, 서예, 종이접기, 동화구연, 사진동아리, 사물놀이, 줄넘기, 축구, 수영, 사격, 요트 등<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>
884) 체험활동 프로그램 : 농사체험, 생태체험, 환경지킴이봉사, 환경테마체험, 봉사활동, 전통나전칠기, 예절교육, 보물찾기, 향토역사관탐방, 박물관견학 등<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>
895) 기타 프로그램 : 학교폭력예방, 인터넷중독예방, 웃음치료, 비전형성, 문제행동개입, 인증제프로그램, 이동수련관, 사랑의 산타원정대, 신난DAY, 지역아동센터, 돌봄프로그램 등<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7