Overview

Dataset statistics

Number of variables19
Number of observations101
Missing cells35
Missing cells (%)1.8%
Duplicate rows1
Duplicate rows (%)1.0%
Total size in memory15.1 KiB
Average record size in memory153.3 B

Variable types

Unsupported3
Categorical14
Text2

Dataset

Description각 시설에서 운영하는 교육프로그램 운영현황이며 프로그램 운영기관, 프로그램 운영장소, 프로그램명, 프로그램내용 등을 제공합니다.제공항목: 프로그램운영기관, 프로그램운영장소, 프로그램명, 프로그램내용, 분야, 운영기간, 운영요일, 운영형태, 운영시간, 참여대상, 참여인원 등제공부서 : 야호전환교육과
Author전북특별자치도 전주시
URLhttps://www.data.go.kr/data/3079823/fileData.do

Alerts

Dataset has 1 (1.0%) duplicate rowsDuplicates
Unnamed: 14 is highly overall correlated with Unnamed: 1 and 11 other fieldsHigh correlation
Unnamed: 1 is highly overall correlated with Unnamed: 2 and 10 other fieldsHigh correlation
Unnamed: 2 is highly overall correlated with Unnamed: 1 and 11 other fieldsHigh correlation
Unnamed: 6 is highly overall correlated with Unnamed: 1 and 5 other fieldsHigh correlation
Unnamed: 18 is highly overall correlated with Unnamed: 1 and 10 other fieldsHigh correlation
Unnamed: 8 is highly overall correlated with Unnamed: 1 and 3 other fieldsHigh correlation
Unnamed: 17 is highly overall correlated with Unnamed: 1 and 9 other fieldsHigh correlation
Unnamed: 13 is highly overall correlated with Unnamed: 2 and 10 other fieldsHigh correlation
Unnamed: 3 is highly overall correlated with Unnamed: 1 and 5 other fieldsHigh correlation
Unnamed: 9 is highly overall correlated with Unnamed: 1 and 6 other fieldsHigh correlation
Unnamed: 10 is highly overall correlated with Unnamed: 1 and 6 other fieldsHigh correlation
Unnamed: 11 is highly overall correlated with Unnamed: 1 and 4 other fieldsHigh correlation
Unnamed: 15 is highly overall correlated with Unnamed: 2 and 6 other fieldsHigh correlation
Unnamed: 16 is highly overall correlated with Unnamed: 1 and 8 other fieldsHigh correlation
Unnamed: 1 is highly imbalanced (69.8%)Imbalance
Unnamed: 8 is highly imbalanced (68.2%)Imbalance
Unnamed: 13 is highly imbalanced (69.8%)Imbalance
Unnamed: 14 is highly imbalanced (60.8%)Imbalance
2022년 토요프로그램 개설(운영) 현황(청소년수련관, 청소년문화의집) has 3 (3.0%) missing valuesMissing
Unnamed: 4 has 8 (7.9%) missing valuesMissing
Unnamed: 5 has 8 (7.9%) missing valuesMissing
Unnamed: 7 has 8 (7.9%) missing valuesMissing
Unnamed: 12 has 8 (7.9%) missing valuesMissing
2022년 토요프로그램 개설(운영) 현황(청소년수련관, 청소년문화의집) is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 7 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 16:36:07.922925
Analysis finished2024-03-14 16:36:13.758326
Duration5.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

2022년 토요프로그램 개설(운영) 현황(청소년수련관, 청소년문화의집)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3
Missing (%)3.0%
Memory size936.0 B

Unnamed: 1
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size936.0 B
전주
92 
<NA>
 
8
지역
 
1

Length

Max length4
Median length2
Mean length2.1584158
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
전주 92
91.1%
<NA> 8
 
7.9%
지역 1
 
1.0%

Length

2024-03-15T01:36:14.124490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:36:14.504985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전주 92
91.1%
na 8
 
7.9%
지역 1
 
1.0%

Unnamed: 2
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size936.0 B
완산야호청소년센터
23 
덕진야호청소년센터
22 
효자야호청소년센터
20 
솔내야호청소년종합센터
17 
전주야호청소년센터
10 
Other values (2)
9 

Length

Max length11
Median length9
Mean length8.9405941
Min length4

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
완산야호청소년센터 23
22.8%
덕진야호청소년센터 22
21.8%
효자야호청소년센터 20
19.8%
솔내야호청소년종합센터 17
16.8%
전주야호청소년센터 10
9.9%
<NA> 8
 
7.9%
프로그램 운영기관 1
 
1.0%

Length

2024-03-15T01:36:14.899778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:36:15.317698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
완산야호청소년센터 23
22.5%
덕진야호청소년센터 22
21.6%
효자야호청소년센터 20
19.6%
솔내야호청소년종합센터 17
16.7%
전주야호청소년센터 10
9.8%
na 8
 
7.8%
프로그램 1
 
1.0%
운영기관 1
 
1.0%

Unnamed: 3
Categorical

HIGH CORRELATION 

Distinct36
Distinct (%)35.6%
Missing0
Missing (%)0.0%
Memory size936.0 B
솔내야호청소년종합센터
14 
완산야호청소년센터
11 
전주야호청소년센터
11 
<NA>
8 
청아나루작은도서관
7 
Other values (31)
50 

Length

Max length18
Median length17
Mean length9.6138614
Min length2

Unique

Unique22 ?
Unique (%)21.8%

Sample

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

Common Values

ValueCountFrequency (%)
솔내야호청소년종합센터 14
13.9%
완산야호청소년센터 11
 
10.9%
전주야호청소년센터 11
 
10.9%
<NA> 8
 
7.9%
청아나루작은도서관 7
 
6.9%
효자야호청소년센터 외 6
 
5.9%
덕진야호 청소년센터 다목적실 5
 
5.0%
덕진품애 작은도서관(1층) 4
 
4.0%
한국전통문화전당 3
 
3.0%
효자야호청소년센터 내 2
 
2.0%
Other values (26) 30
29.7%

Length

2024-03-15T01:36:15.889374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
솔내야호청소년종합센터 14
 
9.2%
덕진야호 13
 
8.6%
청소년센터 13
 
8.6%
전주야호청소년센터 12
 
7.9%
외 12
 
7.9%
완산야호청소년센터 11
 
7.2%
na 8
 
5.3%
효자야호청소년센터 8
 
5.3%
청아나루작은도서관 7
 
4.6%
다목적실 5
 
3.3%
Other values (35) 49
32.2%

Unnamed: 4
Text

MISSING 

Distinct93
Distinct (%)100.0%
Missing8
Missing (%)7.9%
Memory size936.0 B
2024-03-15T01:36:17.335505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length23
Mean length11.806452
Min length4

Characters and Unicode

Total characters1098
Distinct characters278
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)100.0%

Sample

1st row프로그램명
2nd row솔내 토요예체능
3rd row치어리딩
4th row청소년 드론축구
5th row기후환경 프로그램 "초록발자국"
ValueCountFrequency (%)
청소년 11
 
4.8%
프로그램 5
 
2.2%
드론축구 3
 
1.3%
만들기 3
 
1.3%
청소년운영위원회 3
 
1.3%
연합행사 3
 
1.3%
이야기 3
 
1.3%
지구를 2
 
0.9%
만드는 2
 
0.9%
내 2
 
0.9%
Other values (176) 190
83.7%
2024-03-15T01:36:18.697448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
118
 
10.7%
년 31
 
2.8%
청 30
 
2.7%
소 30
 
2.7%
28
 
2.6%
아 17
 
1.5%
기 17
 
1.5%
사 16
 
1.5%
전 15
 
1.4%
리 14
 
1.3%
Other values (268) 782
71.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 848
77.2%
Space Separator 118
 
10.7%
Uppercase Letter 35
 
3.2%
Control 28
 
2.6%
Lowercase Letter 21
 
1.9%
Decimal Number 18
 
1.6%
Other Punctuation 18
 
1.6%
Dash Punctuation 6
 
0.5%
Close Punctuation 3
 
0.3%
Open Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
년 31
 
3.7%
청 30
 
3.5%
소 30
 
3.5%
아 17
 
2.0%
기 17
 
2.0%
사 16
 
1.9%
전 15
 
1.8%
리 14
 
1.7%
동 13
 
1.5%
로 13
 
1.5%
Other values (227) 652
76.9%
Uppercase Letter
ValueCountFrequency (%)
N 6
17.1%
S 4
11.4%
T 4
11.4%
I 3
8.6%
J 2
 
5.7%
D 2
 
5.7%
E 2
 
5.7%
O 2
 
5.7%
W 2
 
5.7%
G 2
 
5.7%
Other values (6) 6
17.1%
Lowercase Letter
ValueCountFrequency (%)
o 7
33.3%
e 2
 
9.5%
b 2
 
9.5%
h 2
 
9.5%
u 2
 
9.5%
t 2
 
9.5%
g 2
 
9.5%
r 1
 
4.8%
k 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
" 6
33.3%
' 6
33.3%
, 2
 
11.1%
: 2
 
11.1%
. 1
 
5.6%
· 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
2 6
33.3%
0 6
33.3%
1 3
16.7%
3 2
 
11.1%
9 1
 
5.6%
Space Separator
ValueCountFrequency (%)
118
100.0%
Control
ValueCountFrequency (%)
28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 847
77.1%
Common 194
 
17.7%
Latin 56
 
5.1%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
년 31
 
3.7%
청 30
 
3.5%
소 30
 
3.5%
아 17
 
2.0%
기 17
 
2.0%
사 16
 
1.9%
전 15
 
1.8%
리 14
 
1.7%
동 13
 
1.5%
로 13
 
1.5%
Other values (226) 651
76.9%
Latin
ValueCountFrequency (%)
o 7
 
12.5%
N 6
 
10.7%
S 4
 
7.1%
T 4
 
7.1%
I 3
 
5.4%
e 2
 
3.6%
J 2
 
3.6%
D 2
 
3.6%
b 2
 
3.6%
E 2
 
3.6%
Other values (15) 22
39.3%
Common
ValueCountFrequency (%)
118
60.8%
28
 
14.4%
- 6
 
3.1%
2 6
 
3.1%
0 6
 
3.1%
" 6
 
3.1%
' 6
 
3.1%
) 3
 
1.5%
( 3
 
1.5%
1 3
 
1.5%
Other values (6) 9
 
4.6%
Han
ValueCountFrequency (%)
樂 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 847
77.1%
ASCII 249
 
22.7%
None 1
 
0.1%
CJK Compat Ideographs 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
118
47.4%
28
 
11.2%
o 7
 
2.8%
- 6
 
2.4%
N 6
 
2.4%
2 6
 
2.4%
0 6
 
2.4%
" 6
 
2.4%
' 6
 
2.4%
S 4
 
1.6%
Other values (30) 56
22.5%
Hangul
ValueCountFrequency (%)
년 31
 
3.7%
청 30
 
3.5%
소 30
 
3.5%
아 17
 
2.0%
기 17
 
2.0%
사 16
 
1.9%
전 15
 
1.8%
리 14
 
1.7%
동 13
 
1.5%
로 13
 
1.5%
Other values (226) 651
76.9%
None
ValueCountFrequency (%)
· 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 1
100.0%

Unnamed: 5
Text

MISSING 

Distinct86
Distinct (%)92.5%
Missing8
Missing (%)7.9%
Memory size936.0 B
2024-03-15T01:36:19.705297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length25
Mean length14.053763
Min length2

Characters and Unicode

Total characters1307
Distinct characters234
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)88.2%

Sample

1st row프로그램내용
2nd row뉴스포츠 및 음악줄넘기 활동을 통한 체력증진
3rd row치어댄스를 배워보는 시간
4th row드론축구를 배워보는 시간
5th row기후환경 보호와 실천을 위한 프로그램
ValueCountFrequency (%)
및 17
 
5.8%
프로그램 11
 
3.7%
청소년 8
 
2.7%
등 6
 
2.0%
체험 5
 
1.7%
독서문화 4
 
1.4%
공연 4
 
1.4%
체험활동 4
 
1.4%
활동 4
 
1.4%
만들기 3
 
1.0%
Other values (192) 228
77.6%
2024-03-15T01:36:21.167805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
196
 
15.0%
동 39
 
3.0%
소 25
 
1.9%
, 25
 
1.9%
로 25
 
1.9%
사 24
 
1.8%
23
 
1.8%
프 23
 
1.8%
활 23
 
1.8%
램 22
 
1.7%
Other values (224) 882
67.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1039
79.5%
Space Separator 196
 
15.0%
Other Punctuation 25
 
1.9%
Control 23
 
1.8%
Decimal Number 11
 
0.8%
Uppercase Letter 8
 
0.6%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 39
 
3.8%
소 25
 
2.4%
로 25
 
2.4%
사 24
 
2.3%
프 23
 
2.2%
활 23
 
2.2%
램 22
 
2.1%
그 22
 
2.1%
기 21
 
2.0%
년 20
 
1.9%
Other values (209) 795
76.5%
Uppercase Letter
ValueCountFrequency (%)
D 3
37.5%
S 2
25.0%
T 1
 
12.5%
I 1
 
12.5%
N 1
 
12.5%
Decimal Number
ValueCountFrequency (%)
3 5
45.5%
0 3
27.3%
1 2
 
18.2%
2 1
 
9.1%
Space Separator
ValueCountFrequency (%)
196
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Control
ValueCountFrequency (%)
23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1039
79.5%
Common 260
 
19.9%
Latin 8
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 39
 
3.8%
소 25
 
2.4%
로 25
 
2.4%
사 24
 
2.3%
프 23
 
2.2%
활 23
 
2.2%
램 22
 
2.1%
그 22
 
2.1%
기 21
 
2.0%
년 20
 
1.9%
Other values (209) 795
76.5%
Common
ValueCountFrequency (%)
196
75.4%
, 25
 
9.6%
23
 
8.8%
3 5
 
1.9%
0 3
 
1.2%
1 2
 
0.8%
) 2
 
0.8%
( 2
 
0.8%
- 1
 
0.4%
2 1
 
0.4%
Latin
ValueCountFrequency (%)
D 3
37.5%
S 2
25.0%
T 1
 
12.5%
I 1
 
12.5%
N 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1039
79.5%
ASCII 268
 
20.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
196
73.1%
, 25
 
9.3%
23
 
8.6%
3 5
 
1.9%
0 3
 
1.1%
D 3
 
1.1%
S 2
 
0.7%
1 2
 
0.7%
) 2
 
0.7%
( 2
 
0.7%
Other values (5) 5
 
1.9%
Hangul
ValueCountFrequency (%)
동 39
 
3.8%
소 25
 
2.4%
로 25
 
2.4%
사 24
 
2.3%
프 23
 
2.2%
활 23
 
2.2%
램 22
 
2.1%
그 22
 
2.1%
기 21
 
2.0%
년 20
 
1.9%
Other values (209) 795
76.5%

Unnamed: 6
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size936.0 B
기타
22 
체험활동
21 
예체능
17 
체험
13 
특기적성
11 
Other values (7)
17 

Length

Max length7
Median length5
Mean length3.1287129
Min length2

Unique

Unique5 ?
Unique (%)5.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 22
21.8%
체험활동 21
20.8%
예체능 17
16.8%
체험 13
12.9%
특기적성 11
10.9%
<NA> 8
 
7.9%
기타 4
 
4.0%
분야 1
 
1.0%
예체능활동 1
 
1.0%
교과학습 1
 
1.0%
Other values (2) 2
 
2.0%

Length

2024-03-15T01:36:21.694965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 26
25.2%
체험활동 22
21.4%
예체능 17
16.5%
체험 14
13.6%
특기적성 11
10.7%
na 8
 
7.8%
분야 1
 
1.0%
예체능활동 1
 
1.0%
교과학습 1
 
1.0%
및 1
 
1.0%

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8
Missing (%)7.9%
Memory size936.0 B

Unnamed: 8
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct9
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size936.0 B
토
85 
<NA>
 
8
금~일
 
2
운영 요일
 
1
토
 
1
Other values (4)
 
4

Length

Max length5
Median length1
Mean length1.4257426
Min length1

Unique

Unique6 ?
Unique (%)5.9%

Sample

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

Common Values

ValueCountFrequency (%)
토 85
84.2%
<NA> 8
 
7.9%
금~일 2
 
2.0%
운영 요일 1
 
1.0%
토 1
 
1.0%
화~일 1
 
1.0%
화~토 1
 
1.0%
금~토 1
 
1.0%
금,토,일 1
 
1.0%

Length

2024-03-15T01:36:22.280062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:36:22.735040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
토 86
84.3%
na 8
 
7.8%
금~일 2
 
2.0%
운영 1
 
1.0%
요일 1
 
1.0%
화~일 1
 
1.0%
화~토 1
 
1.0%
금~토 1
 
1.0%
금,토,일 1
 
1.0%

Unnamed: 9
Categorical

HIGH CORRELATION 

Distinct42
Distinct (%)41.6%
Missing0
Missing (%)0.0%
Memory size936.0 B
1회
25 
<NA>
8 
1회기
6 
상시
6 
월 2회
 
5
Other values (37)
51 

Length

Max length12
Median length8
Mean length3.3762376
Min length2

Unique

Unique29 ?
Unique (%)28.7%

Sample

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

Common Values

ValueCountFrequency (%)
1회 25
24.8%
<NA> 8
 
7.9%
1회기 6
 
5.9%
상시 6
 
5.9%
월 2회 5
 
5.0%
월 1회 4
 
4.0%
기타 4
 
4.0%
매월 2회 3
 
3.0%
월1회 3
 
3.0%
12회기 2
 
2.0%
Other values (32) 35
34.7%

Length

2024-03-15T01:36:23.172266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1회 32
24.6%
월 12
 
9.2%
2회 11
 
8.5%
연 8
 
6.2%
na 8
 
6.2%
1회기 6
 
4.6%
상시 6
 
4.6%
매월 5
 
3.8%
기타 4
 
3.1%
월1회 3
 
2.3%
Other values (27) 35
26.9%

Unnamed: 10
Categorical

HIGH CORRELATION 

Distinct41
Distinct (%)40.6%
Missing0
Missing (%)0.0%
Memory size936.0 B
10:00~12:00
19 
<NA>
8 
14:00~16:00
6 
09:00~18:00
 
5
14:00~17:00
 
5
Other values (36)
58 

Length

Max length12
Median length11
Mean length10.118812
Min length2

Unique

Unique25 ?
Unique (%)24.8%

Sample

1st row<NA>
2nd row운영시간
3rd row<NA>
4th row09:30-11:00
5th row10:00-12:00

Common Values

ValueCountFrequency (%)
10:00~12:00 19
18.8%
<NA> 8
 
7.9%
14:00~16:00 6
 
5.9%
09:00~18:00 5
 
5.0%
14:00~17:00 5
 
5.0%
10:00~18:00 4
 
4.0%
13:00~15:00 4
 
4.0%
15:00~17:00 4
 
4.0%
10:00-12:00 4
 
4.0%
10:00~13:00 3
 
3.0%
Other values (31) 39
38.6%

Length

2024-03-15T01:36:23.612073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10:00~12:00 19
18.8%
na 8
 
7.9%
14:00~16:00 6
 
5.9%
09:00~18:00 5
 
5.0%
14:00~17:00 5
 
5.0%
10:00~18:00 4
 
4.0%
13:00~15:00 4
 
4.0%
15:00~17:00 4
 
4.0%
10:00-12:00 4
 
4.0%
10:00~13:00 3
 
3.0%
Other values (31) 39
38.6%

Unnamed: 11
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Memory size936.0 B
청소년
24 
중고
15 
지역주민
10 
<NA>
8 
초
7 
Other values (17)
37 

Length

Max length15
Median length14
Mean length3.7425743
Min length1

Unique

Unique10 ?
Unique (%)9.9%

Sample

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

Common Values

ValueCountFrequency (%)
청소년 24
23.8%
중고 15
14.9%
지역주민 10
9.9%
<NA> 8
 
7.9%
초 7
 
6.9%
청소년, 성인 7
 
6.9%
중,고 5
 
5.0%
초중고 4
 
4.0%
초,중 3
 
3.0%
중~대학생 3
 
3.0%
Other values (12) 15
14.9%

Length

2024-03-15T01:36:23.943250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
청소년 36
30.5%
중고 15
12.7%
지역주민 13
 
11.0%
na 8
 
6.8%
초 7
 
5.9%
성인 7
 
5.9%
중,고 5
 
4.2%
중~대학생 4
 
3.4%
초중고 4
 
3.4%
초,중 3
 
2.5%
Other values (14) 16
13.6%

Unnamed: 12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8
Missing (%)7.9%
Memory size936.0 B

Unnamed: 13
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size936.0 B
무료
92 
<NA>
 
8
수강료 (참가비)
 
1

Length

Max length9
Median length2
Mean length2.2277228
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
무료 92
91.1%
<NA> 8
 
7.9%
수강료 (참가비) 1
 
1.0%

Length

2024-03-15T01:36:24.399372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:36:24.752843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 92
90.2%
na 8
 
7.8%
수강료 1
 
1.0%
참가비 1
 
1.0%

Unnamed: 14
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size936.0 B
자유
84 
<NA>
 
8
버스
 
7
이동 수단
 
1
자유 및 버스
 
1

Length

Max length7
Median length2
Mean length2.2376238
Min length2

Unique

Unique2 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
자유 84
83.2%
<NA> 8
 
7.9%
버스 7
 
6.9%
이동 수단 1
 
1.0%
자유 및 버스 1
 
1.0%

Length

2024-03-15T01:36:25.305125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:36:25.661663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자유 85
81.7%
na 8
 
7.7%
버스 8
 
7.7%
이동 1
 
1.0%
수단 1
 
1.0%
및 1
 
1.0%

Unnamed: 15
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size936.0 B
미제공
22 
간식
21 
없음
18 
간식제공
13 
<NA>
8 
Other values (6)
19 

Length

Max length10
Median length9
Mean length3.2277228
Min length2

Unique

Unique3 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
미제공 22
21.8%
간식 21
20.8%
없음 18
17.8%
간식제공 13
12.9%
<NA> 8
 
7.9%
제공 8
 
7.9%
식사 (간식) 제공 5
 
5.0%
간식,식사 3
 
3.0%
도시락 1
 
1.0%
간식제공 식사제공 1
 
1.0%

Length

2024-03-15T01:36:26.124245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
간식 27
23.9%
미제공 22
19.5%
없음 18
15.9%
간식제공 14
12.4%
제공 14
12.4%
na 8
 
7.1%
식사 5
 
4.4%
간식,식사 3
 
2.7%
도시락 1
 
0.9%
식사제공 1
 
0.9%

Unnamed: 16
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Memory size936.0 B
최은영
9 
장소희
7 
이형준
7 
<NA>
7 
강진옥
 
6
Other values (26)
65 

Length

Max length7
Median length3
Mean length3.2772277
Min length2

Unique

Unique9 ?
Unique (%)8.9%

Sample

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

Common Values

ValueCountFrequency (%)
최은영 9
 
8.9%
장소희 7
 
6.9%
이형준 7
 
6.9%
<NA> 7
 
6.9%
강진옥 6
 
5.9%
추진력 6
 
5.9%
이하은 5
 
5.0%
김소라 4
 
4.0%
박병영 4
 
4.0%
박미경 4
 
4.0%
Other values (21) 42
41.6%

Length

2024-03-15T01:36:26.580740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
최은영 9
 
8.5%
이하은 9
 
8.5%
장소희 7
 
6.6%
이형준 7
 
6.6%
na 7
 
6.6%
강진옥 6
 
5.7%
추진력 6
 
5.7%
홍승희 6
 
5.7%
김소라 4
 
3.8%
박병영 4
 
3.8%
Other values (20) 41
38.7%

Unnamed: 17
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size936.0 B
236-7142
20 
273-7997
17 
278-8588
16 
226-5193
15 
273-5501
10 
Other values (7)
23 

Length

Max length8
Median length8
Mean length7.6831683
Min length4

Unique

Unique4 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
236-7142 20
19.8%
273-7997 17
16.8%
278-8588 16
15.8%
226-5193 15
14.9%
273-5501 10
9.9%
<NA> 8
 
7.9%
905-7720 7
 
6.9%
273-7660 4
 
4.0%
연락처 (전화) 1
 
1.0%
278-5288 1
 
1.0%
Other values (2) 2
 
2.0%

Length

2024-03-15T01:36:27.112552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
236-7142 20
19.6%
273-7997 17
16.7%
278-8588 16
15.7%
226-5193 15
14.7%
273-5501 10
9.8%
na 8
 
7.8%
905-7720 7
 
6.9%
273-7660 4
 
3.9%
연락처 1
 
1.0%
전화 1
 
1.0%
Other values (3) 3
 
2.9%

Unnamed: 18
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size936.0 B
전주시 덕진구 기린대로 541-11
22 
전주시 완산구 선너머 2길 37
20 
전주시 완산구 우전2길 20
20 
전주시 덕진구 동부대로 1079
17 
전주시 완산구 태진로 15-14
10 
Other values (3)
12 

Length

Max length19
Median length18
Mean length16.386139
Min length4

Unique

Unique1 ?
Unique (%)1.0%

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 기린대로 541-11 22
21.8%
전주시 완산구 선너머 2길 37 20
19.8%
전주시 완산구 우전2길 20 20
19.8%
전주시 덕진구 동부대로 1079 17
16.8%
전주시 완산구 태진로 15-14 10
9.9%
<NA> 8
 
7.9%
전주시 완산구 선너머2길 37 3
 
3.0%
운영기관주소 (새주소 기입) 1
 
1.0%

Length

2024-03-15T01:36:27.796838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:36:28.242796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전주시 92
23.1%
완산구 53
13.3%
덕진구 39
9.8%
37 23
 
5.8%
기린대로 22
 
5.5%
541-11 22
 
5.5%
우전2길 20
 
5.0%
20 20
 
5.0%
2길 20
 
5.0%
선너머 20
 
5.0%
Other values (9) 68
17.0%

Correlations

2024-03-15T01:36:28.879359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18
Unnamed: 11.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.6921.0000.4211.000NaN1.000
Unnamed: 21.0001.0000.9961.0000.9930.8370.6410.9630.9010.9601.0000.7540.8271.0001.0001.000
Unnamed: 31.0000.9961.0001.0000.9960.3320.7920.6470.8910.8721.0000.9110.8480.8940.9470.987
Unnamed: 41.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 51.0000.9930.9961.0001.0000.6220.0000.9950.9530.9931.0000.0000.0000.9660.0000.000
Unnamed: 61.0000.8370.3321.0000.6221.0000.7590.8970.7170.8091.0000.7490.5340.8980.7740.831
Unnamed: 81.0000.6410.7921.0000.0000.7591.0000.0000.9370.3341.0000.8540.0000.2490.0000.721
Unnamed: 91.0000.9630.6471.0000.9950.8970.0001.0000.8640.8571.0000.9960.9260.9230.9440.935
Unnamed: 101.0000.9010.8911.0000.9530.7170.9370.8641.0000.0001.0000.9920.9360.8400.9280.889
Unnamed: 111.0000.9600.8721.0000.9930.8090.3340.8570.0001.0001.0000.7460.6540.9240.8570.961
Unnamed: 130.6921.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.4211.000NaN1.000
Unnamed: 141.0000.7540.9111.0000.0000.7490.8540.9960.9920.7461.0001.0000.8460.9520.8440.715
Unnamed: 150.4210.8270.8481.0000.0000.5340.0000.9260.9360.6540.4210.8461.0000.9680.9810.824
Unnamed: 161.0001.0000.8941.0000.9660.8980.2490.9230.8400.9241.0000.9520.9681.0001.0000.989
Unnamed: 17NaN1.0000.9471.0000.0000.7740.0000.9440.9280.857NaN0.8440.9811.0001.0000.978
Unnamed: 181.0001.0000.9871.0000.0000.8310.7210.9350.8890.9611.0000.7150.8240.9890.9781.000
2024-03-15T01:36:29.314860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 14Unnamed: 1Unnamed: 16Unnamed: 2Unnamed: 6Unnamed: 11Unnamed: 15Unnamed: 9Unnamed: 10Unnamed: 18Unnamed: 3Unnamed: 8Unnamed: 17Unnamed: 13
Unnamed: 141.0000.9890.7030.5850.5420.4570.6670.7470.6920.5750.5840.5180.7280.989
Unnamed: 10.9891.0000.8390.9780.9490.8890.3070.7560.7630.9720.7980.9661.0000.486
Unnamed: 160.7030.8391.0000.8580.5160.5020.7090.4050.2850.8040.3840.0650.8830.839
Unnamed: 20.5850.9780.8581.0000.6110.7520.6120.6300.5150.9940.7920.4190.9710.978
Unnamed: 60.5420.9490.5160.6111.0000.4160.2560.4490.2550.5950.0740.4820.3390.949
Unnamed: 110.4570.8890.5020.7520.4161.0000.2820.3180.0000.6670.3630.1230.4280.889
Unnamed: 150.6670.3070.7090.6120.2560.2821.0000.5110.5010.6000.4050.0000.7580.307
Unnamed: 90.7470.7560.4050.6300.4490.3180.5111.0000.3040.5580.1400.0000.5180.756
Unnamed: 100.6920.7630.2850.5150.2550.0000.5010.3041.0000.4860.3460.5220.5250.763
Unnamed: 180.5750.9720.8040.9940.5950.6670.6000.5580.4861.0000.6920.4910.9150.972
Unnamed: 30.5840.7980.3840.7920.0740.3630.4050.1400.3460.6921.0000.3720.6100.798
Unnamed: 80.5180.9660.0650.4190.4820.1230.0000.0000.5220.4910.3721.0000.0000.966
Unnamed: 170.7281.0000.8830.9710.3390.4280.7580.5180.5250.9150.6100.0001.0001.000
Unnamed: 130.9890.4860.8390.9780.9490.8890.3070.7560.7630.9720.7980.9661.0001.000
2024-03-15T01:36:29.874793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 6Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18
Unnamed: 11.0000.9780.7980.9490.9660.7560.7630.8890.4860.9890.3070.8391.0000.972
Unnamed: 20.9781.0000.7920.6110.4190.6300.5150.7520.9780.5850.6120.8580.9710.994
Unnamed: 30.7980.7921.0000.0740.3720.1400.3460.3630.7980.5840.4050.3840.6100.692
Unnamed: 60.9490.6110.0741.0000.4820.4490.2550.4160.9490.5420.2560.5160.3390.595
Unnamed: 80.9660.4190.3720.4821.0000.0000.5220.1230.9660.5180.0000.0650.0000.491
Unnamed: 90.7560.6300.1400.4490.0001.0000.3040.3180.7560.7470.5110.4050.5180.558
Unnamed: 100.7630.5150.3460.2550.5220.3041.0000.0000.7630.6920.5010.2850.5250.486
Unnamed: 110.8890.7520.3630.4160.1230.3180.0001.0000.8890.4570.2820.5020.4280.667
Unnamed: 130.4860.9780.7980.9490.9660.7560.7630.8891.0000.9890.3070.8391.0000.972
Unnamed: 140.9890.5850.5840.5420.5180.7470.6920.4570.9891.0000.6670.7030.7280.575
Unnamed: 150.3070.6120.4050.2560.0000.5110.5010.2820.3070.6671.0000.7090.7580.600
Unnamed: 160.8390.8580.3840.5160.0650.4050.2850.5020.8390.7030.7091.0000.8830.804
Unnamed: 171.0000.9710.6100.3390.0000.5180.5250.4281.0000.7280.7580.8831.0000.915
Unnamed: 180.9720.9940.6920.5950.4910.5580.4860.6670.9720.5750.6000.8040.9151.000

Missing values

2024-03-15T01:36:11.793914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T01:36:12.589276image/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.
2024-03-15T01:36:13.222751image/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

2022년 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>NaN<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>NaN<NA><NA><NA><NA>NaN<NA><NA><NA>이름연락처 (전화)<NA>
31전주솔내야호청소년종합센터솔내야호청소년종합센터솔내 토요예체능뉴스포츠 및 음악줄넘기 활동을 통한 체력증진예체능3월~11월토매월 2회09:30-11:00초15명무료자유없음기민주278-8588전주시 덕진구 동부대로 1079
42전주솔내야호청소년종합센터솔내야호청소년종합센터치어리딩치어댄스를 배워보는 시간예체능3월~11월토매월 2회10:00-12:00초,중15명무료자유없음기민주278-8588전주시 덕진구 동부대로 1079
53전주솔내야호청소년종합센터솔내야호청소년종합센터청소년 드론축구드론축구를 배워보는 시간특기적성3월~11월토매월 2회10:00-12:00초15명무료자유없음강진옥278-8588전주시 덕진구 동부대로 1079
64전주솔내야호청소년종합센터솔내야호청소년종합센터기후환경 프로그램 "초록발자국"기후환경 보호와 실천을 위한 프로그램체험활동6월~10월토기타10:00~12:00초,중15명무료자유없음기민주278-8588전주시 덕진구 동부대로 1079
75전주솔내야호청소년종합센터솔내야호청소년종합센터청소년 탄소다이어트 "환경 ON"탄소중립을 위한 환경 문제해결 방안 프로그램체험활동4월~11월토12회10:00~12:00중,고20명무료버스간식강진옥278-8588전주시 덕진구 동부대로 1079
86전주솔내야호청소년종합센터솔내야호청소년종합센터청소년 운영위원회청소년수련시설전반에 대한 모니터링 및 청소년 활동 활성화 유도기타1월~12월토기타11:00~14:00중,고16명무료자유간식임은종278-8588전주시 덕진구 동부대로 1079
97전주솔내야호청소년종합센터솔내야호청소년종합센터하얀손 페스티벌고3 수험생 축제 한마당예체능활동12월 10일토기타15:00~17:00중,고100명무료자유없음임은종278-8588전주시 덕진구 동부대로 1079
2022년 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
9189전주효자야호청소년센터효자야호청소년센터 외전라북도동아리지원사업어울림마당 공연 및 정기활동예체능3~11월토상시14:00-16:00중고20명무료자유간식최은영236-7142전주시 완산구 우전2길 20
9290전주효자야호청소년센터전통문화전당전주시평생학습한마당체험활동,동아리공연체험활동9월금,토,일3회기10:00-17:00중고300명무료자유간식최은영236-7142전주시 완산구 우전2길 20
9391전주효자야호청소년센터효자야호청소년센터 외청소년운영위원회-광시설모니터링,정기회의,참여활동 등기타3~12월토12회기14:00-16:00중고15명무료자유간식김소라236-7142전주시 완산구 우전2길 20
9492전주효자야호청소년센터효자야호청소년센터 외방과후아카데미-가온누리토요체험프로그램체험활동1~12월토12회기13:00-17:00중40명무료자유간식,식사이연우236-7142전주시 완산구 우전2길 20
95NaN<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>
961) 교과학습 프로그램 : 국어, 영어, 수학, 사회, 과학, 한자, 역사(한국사), 논술, 공부방 등 학습중심 프로그램<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>
972) 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>NaN<NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>
983) 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>NaN<NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>
994) 체험활동 프로그램 : 농사체험, 생태체험, 환경지킴이봉사, 환경테마체험, 봉사활동, 전통나전칠기, 예절교육, 보물찾기, 향토역사관탐방, 박물관견학 등<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>
1005) 기타 프로그램 : 학교폭력예방, 인터넷중독예방, 웃음치료, 비전형성, 문제행동개입, 인증제프로그램, 이동수련관, 사랑의 산타원정대, 신난DAY, 지역아동센터, 돌봄프로그램 등<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 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>7