Overview

Dataset statistics

Number of variables5
Number of observations153
Missing cells318
Missing cells (%)41.6%
Duplicate rows1
Duplicate rows (%)0.7%
Total size in memory6.3 KiB
Average record size in memory41.9 B

Variable types

Numeric1
Text4

Alerts

Dataset has 1 (0.7%) duplicate rowsDuplicates
연번 has 106 (69.3%) missing valuesMissing
축 제 명 has 91 (59.5%) missing valuesMissing
개최기간 has 62 (40.5%) missing valuesMissing
주요내용 has 32 (20.9%) missing valuesMissing
주최/주관 has 27 (17.6%) missing valuesMissing

Reproduction

Analysis started2024-03-14 02:15:55.205055
Analysis finished2024-03-14 02:15:55.967609
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)100.0%
Missing106
Missing (%)69.3%
Infinite0
Infinite (%)0.0%
Mean24
Minimum1
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-14T11:15:56.035741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.3
Q112.5
median24
Q335.5
95-th percentile44.7
Maximum47
Range46
Interquartile range (IQR)23

Descriptive statistics

Standard deviation13.711309
Coefficient of variation (CV)0.57130455
Kurtosis-1.2
Mean24
Median Absolute Deviation (MAD)12
Skewness0
Sum1128
Variance188
MonotonicityStrictly increasing
2024-03-14T11:15:56.174737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
2 1
 
0.7%
27 1
 
0.7%
28 1
 
0.7%
29 1
 
0.7%
30 1
 
0.7%
31 1
 
0.7%
32 1
 
0.7%
33 1
 
0.7%
34 1
 
0.7%
35 1
 
0.7%
Other values (37) 37
 
24.2%
(Missing) 106
69.3%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
47 1
0.7%
46 1
0.7%
45 1
0.7%
44 1
0.7%
43 1
0.7%
42 1
0.7%
41 1
0.7%
40 1
0.7%
39 1
0.7%
38 1
0.7%

축 제 명
Text

MISSING 

Distinct61
Distinct (%)98.4%
Missing91
Missing (%)59.5%
Memory size1.3 KiB
2024-03-14T11:15:56.412621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length7
Min length2

Characters and Unicode

Total characters434
Distinct characters164
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)96.8%

Sample

1st row남원
2nd row지리산 바래봉 눈꽃축제
3rd row진안
4th row운장산 고로쇠축제
5th row완주 삼례딸기 대축제
ValueCountFrequency (%)
남원 4
 
4.5%
임실 4
 
4.5%
고창 3
 
3.4%
진안 3
 
3.4%
순창 2
 
2.2%
지리산 2
 
2.2%
바래봉 2
 
2.2%
김제 2
 
2.2%
부안 2
 
2.2%
완주 2
 
2.2%
Other values (62) 63
70.8%
2024-03-14T11:15:56.827553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 50
 
11.5%
축 36
 
8.3%
31
 
7.1%
산 10
 
2.3%
안 8
 
1.8%
창 8
 
1.8%
고 7
 
1.6%
주 6
 
1.4%
실 6
 
1.4%
리 5
 
1.2%
Other values (154) 267
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 395
91.0%
Space Separator 31
 
7.1%
Decimal Number 6
 
1.4%
Uppercase Letter 1
 
0.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 50
 
12.7%
축 36
 
9.1%
산 10
 
2.5%
안 8
 
2.0%
창 8
 
2.0%
고 7
 
1.8%
주 6
 
1.5%
실 6
 
1.5%
리 5
 
1.3%
임 5
 
1.3%
Other values (147) 254
64.3%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
6 1
 
16.7%
0 1
 
16.7%
2 1
 
16.7%
Space Separator
ValueCountFrequency (%)
31
100.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 395
91.0%
Common 38
 
8.8%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 50
 
12.7%
축 36
 
9.1%
산 10
 
2.5%
안 8
 
2.0%
창 8
 
2.0%
고 7
 
1.8%
주 6
 
1.5%
실 6
 
1.5%
리 5
 
1.3%
임 5
 
1.3%
Other values (147) 254
64.3%
Common
ValueCountFrequency (%)
31
81.6%
1 3
 
7.9%
- 1
 
2.6%
6 1
 
2.6%
0 1
 
2.6%
2 1
 
2.6%
Latin
ValueCountFrequency (%)
N 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 395
91.0%
ASCII 39
 
9.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 50
 
12.7%
축 36
 
9.1%
산 10
 
2.5%
안 8
 
2.0%
창 8
 
2.0%
고 7
 
1.8%
주 6
 
1.5%
실 6
 
1.5%
리 5
 
1.3%
임 5
 
1.3%
Other values (147) 254
64.3%
ASCII
ValueCountFrequency (%)
31
79.5%
1 3
 
7.7%
N 1
 
2.6%
- 1
 
2.6%
6 1
 
2.6%
0 1
 
2.6%
2 1
 
2.6%

개최기간
Text

MISSING 

Distinct54
Distinct (%)59.3%
Missing62
Missing (%)40.5%
Memory size1.3 KiB
2024-03-14T11:15:57.010422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length6.6263736
Min length4

Characters and Unicode

Total characters603
Distinct characters26
Distinct categories8 ?
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 (%)49.5%

Sample

1st row1.1~2.14
2nd row(45일간)
3rd row3.12~3.13
4th row(2일간)
5th row3.25~3.27
ValueCountFrequency (%)
3일간 20
21.3%
4일간 6
 
6.4%
2일간 6
 
6.4%
5일간 4
 
4.3%
9일간 3
 
3.2%
10월중 2
 
2.1%
9.30~10.2 2
 
2.1%
5.6~5.8 2
 
2.1%
12월중 2
 
2.1%
10.1~10.9 1
 
1.1%
Other values (46) 46
48.9%
2024-03-14T11:15:57.329418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 75
12.4%
1 66
10.9%
) 45
 
7.5%
( 45
 
7.5%
간 43
 
7.1%
일 42
 
7.0%
~ 41
 
6.8%
2 36
 
6.0%
3 36
 
6.0%
0 33
 
5.5%
Other values (16) 141
23.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 283
46.9%
Other Letter 109
 
18.1%
Other Punctuation 75
 
12.4%
Close Punctuation 45
 
7.5%
Open Punctuation 45
 
7.5%
Math Symbol 41
 
6.8%
Space Separator 4
 
0.7%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 66
23.3%
2 36
12.7%
3 36
12.7%
0 33
11.7%
5 32
11.3%
9 20
 
7.1%
4 19
 
6.7%
8 18
 
6.4%
6 12
 
4.2%
7 11
 
3.9%
Other Letter
ValueCountFrequency (%)
간 43
39.4%
일 42
38.5%
월 10
 
9.2%
중 6
 
5.5%
말 2
 
1.8%
순 2
 
1.8%
개 1
 
0.9%
예 1
 
0.9%
정 1
 
0.9%
초 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Math Symbol
ValueCountFrequency (%)
~ 41
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 494
81.9%
Hangul 109
 
18.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 75
15.2%
1 66
13.4%
) 45
9.1%
( 45
9.1%
~ 41
8.3%
2 36
7.3%
3 36
7.3%
0 33
6.7%
5 32
6.5%
9 20
 
4.0%
Other values (6) 65
13.2%
Hangul
ValueCountFrequency (%)
간 43
39.4%
일 42
38.5%
월 10
 
9.2%
중 6
 
5.5%
말 2
 
1.8%
순 2
 
1.8%
개 1
 
0.9%
예 1
 
0.9%
정 1
 
0.9%
초 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 494
81.9%
Hangul 109
 
18.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 75
15.2%
1 66
13.4%
) 45
9.1%
( 45
9.1%
~ 41
8.3%
2 36
7.3%
3 36
7.3%
0 33
6.7%
5 32
6.5%
9 20
 
4.0%
Other values (6) 65
13.2%
Hangul
ValueCountFrequency (%)
간 43
39.4%
일 42
38.5%
월 10
 
9.2%
중 6
 
5.5%
말 2
 
1.8%
순 2
 
1.8%
개 1
 
0.9%
예 1
 
0.9%
정 1
 
0.9%
초 1
 
0.9%

주요내용
Text

MISSING 

Distinct121
Distinct (%)100.0%
Missing32
Missing (%)20.9%
Memory size1.3 KiB
2024-03-14T11:15:57.544815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length89
Median length41
Mean length22.694215
Min length3

Characters and Unicode

Total characters2746
Distinct characters372
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique121 ?
Unique (%)100.0%

Sample

1st rowㅇ눈썰매,얼음썰매,빙벽체험장,바래봉 눈꽃 등반대회,눈싸움 대회, 희망의 소원 연날리기, 허브체험 등 체험행사
2nd rowㅇ 고로쇠 채취체험, 고로쇠 가수왕 선발대회
3rd rowㅇ고로쇠를테마로한문화,전시,체험프로그램 운영
4th row-고로쇠 떡,두부 만들기, 고로쇠비빔밥 만들기 등
5th rowㅇ 딸기 품평회 및 수확 체험
ValueCountFrequency (%)
등 35
 
6.7%
및 20
 
3.8%
운영 16
 
3.0%
프로그램 11
 
2.1%
공연 10
 
1.9%
전시 9
 
1.7%
9
 
1.7%
체험 8
 
1.5%
ㅇ 8
 
1.5%
체험프로그램 6
 
1.1%
Other values (338) 393
74.9%
2024-03-14T11:15:57.913152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
411
 
15.0%
, 139
 
5.1%
ㅇ 107
 
3.9%
등 53
 
1.9%
연 52
 
1.9%
체 52
 
1.9%
험 52
 
1.9%
로 50
 
1.8%
공 44
 
1.6%
기 44
 
1.6%
Other values (362) 1742
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2080
75.7%
Space Separator 411
 
15.0%
Other Punctuation 152
 
5.5%
Decimal Number 45
 
1.6%
Dash Punctuation 13
 
0.5%
Close Punctuation 13
 
0.5%
Open Punctuation 12
 
0.4%
Lowercase Letter 12
 
0.4%
Uppercase Letter 7
 
0.3%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅇ 107
 
5.1%
등 53
 
2.5%
연 52
 
2.5%
체 52
 
2.5%
험 52
 
2.5%
로 50
 
2.4%
공 44
 
2.1%
기 44
 
2.1%
사 42
 
2.0%
전 39
 
1.9%
Other values (326) 1545
74.3%
Lowercase Letter
ValueCountFrequency (%)
o 2
16.7%
e 2
16.7%
a 1
8.3%
t 1
8.3%
r 1
8.3%
l 1
8.3%
s 1
8.3%
d 1
8.3%
v 1
8.3%
i 1
8.3%
Decimal Number
ValueCountFrequency (%)
0 13
28.9%
2 6
13.3%
6 6
13.3%
4 5
 
11.1%
7 4
 
8.9%
1 4
 
8.9%
5 3
 
6.7%
8 2
 
4.4%
3 2
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 139
91.4%
: 4
 
2.6%
& 3
 
2.0%
/ 3
 
2.0%
. 2
 
1.3%
· 1
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
P 2
28.6%
S 1
14.3%
C 1
14.3%
R 1
14.3%
F 1
14.3%
O 1
14.3%
Space Separator
ValueCountFrequency (%)
411
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2079
75.7%
Common 647
 
23.6%
Latin 19
 
0.7%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅇ 107
 
5.1%
등 53
 
2.5%
연 52
 
2.5%
체 52
 
2.5%
험 52
 
2.5%
로 50
 
2.4%
공 44
 
2.1%
기 44
 
2.1%
사 42
 
2.0%
전 39
 
1.9%
Other values (325) 1544
74.3%
Common
ValueCountFrequency (%)
411
63.5%
, 139
 
21.5%
- 13
 
2.0%
) 13
 
2.0%
0 13
 
2.0%
( 12
 
1.9%
2 6
 
0.9%
6 6
 
0.9%
4 5
 
0.8%
: 4
 
0.6%
Other values (10) 25
 
3.9%
Latin
ValueCountFrequency (%)
o 2
 
10.5%
P 2
 
10.5%
e 2
 
10.5%
a 1
 
5.3%
S 1
 
5.3%
t 1
 
5.3%
r 1
 
5.3%
l 1
 
5.3%
s 1
 
5.3%
C 1
 
5.3%
Other values (6) 6
31.6%
Han
ValueCountFrequency (%)
樂 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1972
71.8%
ASCII 664
 
24.2%
Compat Jamo 107
 
3.9%
CJK Compat Ideographs 1
 
< 0.1%
CJK Compat 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
411
61.9%
, 139
 
20.9%
- 13
 
2.0%
) 13
 
2.0%
0 13
 
2.0%
( 12
 
1.8%
2 6
 
0.9%
6 6
 
0.9%
4 5
 
0.8%
: 4
 
0.6%
Other values (24) 42
 
6.3%
Compat Jamo
ValueCountFrequency (%)
ㅇ 107
100.0%
Hangul
ValueCountFrequency (%)
등 53
 
2.7%
연 52
 
2.6%
체 52
 
2.6%
험 52
 
2.6%
로 50
 
2.5%
공 44
 
2.2%
기 44
 
2.2%
사 42
 
2.1%
전 39
 
2.0%
대 36
 
1.8%
Other values (324) 1508
76.5%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 1
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

주최/주관
Text

MISSING 

Distinct106
Distinct (%)84.1%
Missing27
Missing (%)17.6%
Memory size1.3 KiB
2024-03-14T11:15:58.074924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length22
Mean length11.111111
Min length3

Characters and Unicode

Total characters1400
Distinct characters169
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)76.2%

Sample

1st row(담당자연락처)
2nd row운봉읍/운봉애향회
3rd row(620-3818)
4th row진안군/
5th row진안운장산고로쇠축제위원회
ValueCountFrequency (%)
문화관광과 7
 
4.5%
063-640-2343 5
 
3.2%
고창군 5
 
3.2%
임실군 5
 
3.2%
문화관광치즈과 5
 
3.2%
063-430-2393 4
 
2.5%
정읍시 4
 
2.5%
진안군 4
 
2.5%
순창군 3
 
1.9%
김제시 2
 
1.3%
Other values (100) 113
72.0%
2024-03-14T11:15:58.349024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 88
 
6.3%
- 78
 
5.6%
0 72
 
5.1%
6 58
 
4.1%
) 47
 
3.4%
( 46
 
3.3%
4 45
 
3.2%
2 44
 
3.1%
회 42
 
3.0%
/ 41
 
2.9%
Other values (159) 839
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 734
52.4%
Decimal Number 418
29.9%
Dash Punctuation 78
 
5.6%
Close Punctuation 47
 
3.4%
Open Punctuation 46
 
3.3%
Other Punctuation 43
 
3.1%
Space Separator 32
 
2.3%
Math Symbol 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 42
 
5.7%
제 40
 
5.4%
원 40
 
5.4%
군 34
 
4.6%
위 32
 
4.4%
축 25
 
3.4%
과 24
 
3.3%
진 23
 
3.1%
전 21
 
2.9%
시 20
 
2.7%
Other values (141) 433
59.0%
Decimal Number
ValueCountFrequency (%)
3 88
21.1%
0 72
17.2%
6 58
13.9%
4 45
10.8%
2 44
10.5%
5 41
9.8%
8 23
 
5.5%
1 19
 
4.5%
7 14
 
3.3%
9 14
 
3.3%
Other Punctuation
ValueCountFrequency (%)
/ 41
95.3%
, 2
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Space Separator
ValueCountFrequency (%)
32
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 734
52.4%
Common 665
47.5%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 42
 
5.7%
제 40
 
5.4%
원 40
 
5.4%
군 34
 
4.6%
위 32
 
4.4%
축 25
 
3.4%
과 24
 
3.3%
진 23
 
3.1%
전 21
 
2.9%
시 20
 
2.7%
Other values (141) 433
59.0%
Common
ValueCountFrequency (%)
3 88
13.2%
- 78
11.7%
0 72
10.8%
6 58
8.7%
) 47
7.1%
( 46
6.9%
4 45
6.8%
2 44
6.6%
/ 41
 
6.2%
5 41
 
6.2%
Other values (7) 105
15.8%
Latin
ValueCountFrequency (%)
N 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 732
52.3%
ASCII 666
47.6%
Compat Jamo 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 88
13.2%
- 78
11.7%
0 72
10.8%
6 58
8.7%
) 47
7.1%
( 46
6.9%
4 45
6.8%
2 44
6.6%
/ 41
 
6.2%
5 41
 
6.2%
Other values (8) 106
15.9%
Hangul
ValueCountFrequency (%)
회 42
 
5.7%
제 40
 
5.5%
원 40
 
5.5%
군 34
 
4.6%
위 32
 
4.4%
축 25
 
3.4%
과 24
 
3.3%
진 23
 
3.1%
전 21
 
2.9%
시 20
 
2.7%
Other values (140) 431
58.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

Interactions

2024-03-14T11:15:55.665233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T11:15:58.439743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번축 제 명개최기간
연번1.0000.9240.984
축 제 명0.9241.0000.993
개최기간0.9840.9931.000

Missing values

2024-03-14T11:15:55.753525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T11:15:55.835729image/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.
2024-03-14T11:15:55.913112image/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

연번축 제 명개최기간주요내용주최/주관
0<NA><NA><NA><NA>(담당자연락처)
11남원1.1~2.14ㅇ눈썰매,얼음썰매,빙벽체험장,바래봉 눈꽃 등반대회,눈싸움 대회, 희망의 소원 연날리기, 허브체험 등 체험행사운봉읍/운봉애향회
2<NA>지리산 바래봉 눈꽃축제(45일간)<NA>(620-3818)
32진안3.12~3.13ㅇ 고로쇠 채취체험, 고로쇠 가수왕 선발대회진안군/
4<NA>운장산 고로쇠축제(2일간)ㅇ고로쇠를테마로한문화,전시,체험프로그램 운영진안운장산고로쇠축제위원회
5<NA><NA><NA>-고로쇠 떡,두부 만들기, 고로쇠비빔밥 만들기 등(063-430-2393)
63완주 삼례딸기 대축제3.25~3.27ㅇ 딸기 품평회 및 수확 체험완주군 기술보급과/
7<NA><NA>(3일간)ㅇ딸기및지역농산물판매코너삼례농협
8<NA><NA><NA>ㅇ개폐막공연,전라북도신나는예술버스공연(063-290-3321)
9<NA><NA><NA>- 딸기떡 뽑기, 한소리 공연(국악, 사물놀이) 등<NA>
연번축 제 명개최기간주요내용주최/주관
143<NA><NA><NA>ㅇ기타특별행사및전시등등<NA>
144452016 군산-서천 금강철새여행11.11~11.13ㅇ철새탐조투어군산시ㆍ서천군/
145<NA><NA>(3일간)ㅇ철새와 생태를 테마로한 체험프로그램 운영군산세계철새축제위원회ㆍ
146<NA><NA>(예정)ㅇ금강호 철새 그림그리기 대회 및 환경작품 전시전 등서천철새여행추진위원회
147<NA><NA><NA><NA>(063-454-5685)
14846완주곶감축제12월중ㅇ 완주 곶감 및 우수 농특산물 판매, 체험행사완주군/운주농혐,
149<NA><NA>(3일간)- 곶감경매, 선녀와나무꾼선발대회, 가요제, 곶감음식만들기, 완주곶감찾기, 나무꾼체험, 민속놀이 등완주곶감축제제전위원회
15047부안 설숭어축제12월중ㅇ와글와글가요제부안군/부안상설시장 상인회
151<NA><NA>(3일간)ㅇ체험행사 및 경연행사(063-584-3070)
152<NA><NA><NA>ㅇ먹거리장터 운영<NA>

Duplicate rows

Most frequently occurring

연번축 제 명개최기간주요내용주최/주관# duplicates
0<NA><NA><NA><NA>(063-539-5203)2