Overview

Dataset statistics

Number of variables5
Number of observations107
Missing cells300
Missing cells (%)56.1%
Duplicate rows1
Duplicate rows (%)0.9%
Total size in memory4.4 KiB
Average record size in memory42.2 B

Variable types

Numeric1
Text4

Alerts

Dataset has 1 (0.9%) duplicate rowsDuplicates
연번 has 60 (56.1%) missing valuesMissing
축 제 명 has 60 (56.1%) missing valuesMissing
개최기간 has 60 (56.1%) missing valuesMissing
주요내용 has 60 (56.1%) missing valuesMissing
주최/주관(담당자연락처) has 60 (56.1%) missing valuesMissing

Reproduction

Analysis started2024-03-14 02:15:50.807754
Analysis finished2024-03-14 02:15:51.566449
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)100.0%
Missing60
Missing (%)56.1%
Infinite0
Infinite (%)0.0%
Mean24
Minimum1
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T11:15:51.631316image/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
2024-03-14T11:15:51.774341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
2 1
 
0.9%
27 1
 
0.9%
28 1
 
0.9%
29 1
 
0.9%
30 1
 
0.9%
31 1
 
0.9%
32 1
 
0.9%
33 1
 
0.9%
34 1
 
0.9%
35 1
 
0.9%
Other values (37) 37
34.6%
(Missing) 60
56.1%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
47 1
0.9%
46 1
0.9%
45 1
0.9%
44 1
0.9%
43 1
0.9%
42 1
0.9%
41 1
0.9%
40 1
0.9%
39 1
0.9%
38 1
0.9%

축 제 명
Text

MISSING 

Distinct47
Distinct (%)100.0%
Missing60
Missing (%)56.1%
Memory size988.0 B
2024-03-14T11:15:52.002903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length9.4893617
Min length6

Characters and Unicode

Total characters446
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

Unique47 ?
Unique (%)100.0%

Sample

1st row남원 지리산 바래봉 눈꽃축제
2nd row진안 운장산 고로쇠축제
3rd row완주 삼례딸기 대축제
4th row순창 옥천골벚꽃축제
5th row진안 원연장꽃잔디축제
ValueCountFrequency (%)
남원 4
 
4.5%
임실 4
 
4.5%
진안 3
 
3.4%
고창 3
 
3.4%
정읍 2
 
2.2%
김제 2
 
2.2%
부안 2
 
2.2%
바래봉 2
 
2.2%
지리산 2
 
2.2%
순창 2
 
2.2%
Other values (62) 63
70.8%
2024-03-14T11:15:52.371084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50
 
11.2%
43
 
9.6%
36
 
8.1%
10
 
2.2%
8
 
1.8%
8
 
1.8%
7
 
1.6%
6
 
1.3%
6
 
1.3%
5
 
1.1%
Other values (154) 267
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 395
88.6%
Space Separator 43
 
9.6%
Decimal Number 6
 
1.3%
Uppercase Letter 1
 
0.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
50
 
12.7%
36
 
9.1%
10
 
2.5%
8
 
2.0%
8
 
2.0%
7
 
1.8%
6
 
1.5%
6
 
1.5%
5
 
1.3%
5
 
1.3%
Other values (147) 254
64.3%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
0 1
 
16.7%
2 1
 
16.7%
6 1
 
16.7%
Space Separator
ValueCountFrequency (%)
43
100.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 395
88.6%
Common 50
 
11.2%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
50
 
12.7%
36
 
9.1%
10
 
2.5%
8
 
2.0%
8
 
2.0%
7
 
1.8%
6
 
1.5%
6
 
1.5%
5
 
1.3%
5
 
1.3%
Other values (147) 254
64.3%
Common
ValueCountFrequency (%)
43
86.0%
1 3
 
6.0%
0 1
 
2.0%
2 1
 
2.0%
6 1
 
2.0%
- 1
 
2.0%
Latin
ValueCountFrequency (%)
N 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 395
88.6%
ASCII 51
 
11.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
50
 
12.7%
36
 
9.1%
10
 
2.5%
8
 
2.0%
8
 
2.0%
7
 
1.8%
6
 
1.5%
6
 
1.5%
5
 
1.3%
5
 
1.3%
Other values (147) 254
64.3%
ASCII
ValueCountFrequency (%)
43
84.3%
1 3
 
5.9%
0 1
 
2.0%
2 1
 
2.0%
6 1
 
2.0%
N 1
 
2.0%
- 1
 
2.0%

개최기간
Text

MISSING 

Distinct43
Distinct (%)91.5%
Missing60
Missing (%)56.1%
Memory size988.0 B
2024-03-14T11:15:52.566921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.0638298
Min length4

Characters and Unicode

Total characters379
Distinct characters21
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

Unique39 ?
Unique (%)83.0%

Sample

1st row1.1~2.14
2nd row3.12~3.13
3rd row3.25~3.27
4th row4.7~4.10
5th row4.23~5.1
ValueCountFrequency (%)
9.30~10.2 2
 
4.0%
5.6~5.8 2
 
4.0%
10월중 2
 
4.0%
12월중 2
 
4.0%
10.6~10.9 1
 
2.0%
11.4~11.6 1
 
2.0%
10월말~11월초 1
 
2.0%
9.23~9.25 1
 
2.0%
9.29~10.3 1
 
2.0%
10.1~10.9 1
 
2.0%
Other values (36) 36
72.0%
2024-03-14T11:15:52.910426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 75
19.8%
1 64
16.9%
~ 41
10.8%
0 32
8.4%
2 29
 
7.7%
5 27
 
7.1%
8 18
 
4.7%
9 17
 
4.5%
3 15
 
4.0%
4 12
 
3.2%
Other values (11) 49
12.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 237
62.5%
Other Punctuation 75
 
19.8%
Math Symbol 41
 
10.8%
Other Letter 20
 
5.3%
Space Separator 3
 
0.8%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 64
27.0%
0 32
13.5%
2 29
12.2%
5 27
11.4%
8 18
 
7.6%
9 17
 
7.2%
3 15
 
6.3%
4 12
 
5.1%
6 12
 
5.1%
7 11
 
4.6%
Other Letter
ValueCountFrequency (%)
9
45.0%
6
30.0%
2
 
10.0%
2
 
10.0%
1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 75
100.0%
Math Symbol
ValueCountFrequency (%)
~ 41
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 359
94.7%
Hangul 20
 
5.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 75
20.9%
1 64
17.8%
~ 41
11.4%
0 32
8.9%
2 29
 
8.1%
5 27
 
7.5%
8 18
 
5.0%
9 17
 
4.7%
3 15
 
4.2%
4 12
 
3.3%
Other values (6) 29
 
8.1%
Hangul
ValueCountFrequency (%)
9
45.0%
6
30.0%
2
 
10.0%
2
 
10.0%
1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 359
94.7%
Hangul 20
 
5.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 75
20.9%
1 64
17.8%
~ 41
11.4%
0 32
8.9%
2 29
 
8.1%
5 27
 
7.5%
8 18
 
5.0%
9 17
 
4.7%
3 15
 
4.2%
4 12
 
3.3%
Other values (6) 29
 
8.1%
Hangul
ValueCountFrequency (%)
9
45.0%
6
30.0%
2
 
10.0%
2
 
10.0%
1
 
5.0%

주요내용
Text

MISSING 

Distinct47
Distinct (%)100.0%
Missing60
Missing (%)56.1%
Memory size988.0 B
2024-03-14T11:15:53.149817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length186
Median length76
Mean length59.212766
Min length15

Characters and Unicode

Total characters2783
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

Unique47 ?
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 ㅇ고로쇠를테마로한문화,전시,체험프로그램 운영 -고로쇠 떡,두부 만들기, 고로쇠비빔밥 만들기 등
3rd rowㅇ 딸기 품평회 및 수확 체험 ㅇ딸기및지역농산물판매코너 ㅇ개폐막공연,전라북도신나는예술버스공연 - 딸기떡 뽑기, 한소리 공연(국악, 사물놀이) 등 ㅇ도민노래자랑,이벤트행사(딸기빨리먹기등)
4th rowㅇ벚꽃길 걷기, 사생대회, 노래자랑 등
5th rowㅇ꽃잔디 사진전시 및 경연대회 ㅇ꽃잔디를테마로한문화,전시,체험프로그램운영 -고로쇠 화분만들기,짚풀공예 ㅇ개막및주제공연
ValueCountFrequency (%)
28
 
5.7%
20
 
4.1%
운영 12
 
2.4%
프로그램 9
 
1.8%
공연 9
 
1.8%
전시 9
 
1.8%
9
 
1.8%
8
 
1.6%
체험 8
 
1.6%
체험프로그램 6
 
1.2%
Other values (326) 372
75.9%
2024-03-14T11:15:53.744726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
448
 
16.1%
, 139
 
5.0%
107
 
3.8%
53
 
1.9%
52
 
1.9%
52
 
1.9%
52
 
1.9%
50
 
1.8%
44
 
1.6%
44
 
1.6%
Other values (362) 1742
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2080
74.7%
Space Separator 448
 
16.1%
Other Punctuation 152
 
5.5%
Decimal Number 45
 
1.6%
Close Punctuation 13
 
0.5%
Dash 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 (%)
107
 
5.1%
53
 
2.5%
52
 
2.5%
52
 
2.5%
52
 
2.5%
50
 
2.4%
44
 
2.1%
44
 
2.1%
42
 
2.0%
39
 
1.9%
Other values (326) 1545
74.3%
Lowercase Letter
ValueCountFrequency (%)
o 2
16.7%
e 2
16.7%
s 1
8.3%
t 1
8.3%
i 1
8.3%
v 1
8.3%
a 1
8.3%
d 1
8.3%
r 1
8.3%
l 1
8.3%
Decimal Number
ValueCountFrequency (%)
0 13
28.9%
6 6
13.3%
2 6
13.3%
4 5
 
11.1%
1 4
 
8.9%
7 4
 
8.9%
5 3
 
6.7%
3 2
 
4.4%
8 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%
F 1
14.3%
O 1
14.3%
S 1
14.3%
R 1
14.3%
C 1
14.3%
Space Separator
ValueCountFrequency (%)
448
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2079
74.7%
Common 684
 
24.6%
Latin 19
 
0.7%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
107
 
5.1%
53
 
2.5%
52
 
2.5%
52
 
2.5%
52
 
2.5%
50
 
2.4%
44
 
2.1%
44
 
2.1%
42
 
2.0%
39
 
1.9%
Other values (325) 1544
74.3%
Common
ValueCountFrequency (%)
448
65.5%
, 139
 
20.3%
) 13
 
1.9%
- 13
 
1.9%
0 13
 
1.9%
( 12
 
1.8%
6 6
 
0.9%
2 6
 
0.9%
4 5
 
0.7%
1 4
 
0.6%
Other values (10) 25
 
3.7%
Latin
ValueCountFrequency (%)
o 2
 
10.5%
e 2
 
10.5%
P 2
 
10.5%
s 1
 
5.3%
F 1
 
5.3%
O 1
 
5.3%
S 1
 
5.3%
t 1
 
5.3%
i 1
 
5.3%
v 1
 
5.3%
Other values (6) 6
31.6%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1972
70.9%
ASCII 701
 
25.2%
Compat Jamo 107
 
3.8%
CJK Compat 1
 
< 0.1%
None 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
448
63.9%
, 139
 
19.8%
) 13
 
1.9%
- 13
 
1.9%
0 13
 
1.9%
( 12
 
1.7%
6 6
 
0.9%
2 6
 
0.9%
4 5
 
0.7%
1 4
 
0.6%
Other values (24) 42
 
6.0%
Compat Jamo
ValueCountFrequency (%)
107
100.0%
Hangul
ValueCountFrequency (%)
53
 
2.7%
52
 
2.6%
52
 
2.6%
52
 
2.6%
50
 
2.5%
44
 
2.2%
44
 
2.2%
42
 
2.1%
39
 
2.0%
36
 
1.8%
Other values (324) 1508
76.5%
CJK Compat
ValueCountFrequency (%)
1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%
Distinct46
Distinct (%)97.9%
Missing60
Missing (%)56.1%
Memory size988.0 B
2024-03-14T11:15:53.984953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length35
Mean length29.319149
Min length13

Characters and Unicode

Total characters1378
Distinct characters165
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

Unique45 ?
Unique (%)95.7%

Sample

1st row운봉읍/운봉애향회(620-3818)
2nd row진안군/진안운장산고로쇠축제위원회(063-430-2393)
3rd row완주군 기술보급과/삼례농협(063-290-3321)
4th row순창군 문화관광과/ 옥천골벚꽃축제제전위원회(063-650-1625)
5th row진안군/진안원연장마을축제위원회(063-430-2393)
ValueCountFrequency (%)
고창군 5
 
6.4%
임실군 5
 
6.4%
순창군 3
 
3.8%
운봉읍/운봉애향회(620-3818 2
 
2.6%
군산시 2
 
2.6%
무주군 2
 
2.6%
문화관광과 2
 
2.6%
전주시 2
 
2.6%
문화관광치즈과/임실n치즈축제제전위원회(063-640-2343 1
 
1.3%
문화관광과/모양성보존회(063-560-2457 1
 
1.3%
Other values (53) 53
67.9%
2024-03-14T11:15:54.253515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 86
 
6.2%
- 76
 
5.5%
0 70
 
5.1%
6 57
 
4.1%
) 45
 
3.3%
( 44
 
3.2%
2 44
 
3.2%
4 43
 
3.1%
/ 42
 
3.0%
42
 
3.0%
Other values (155) 829
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 728
52.8%
Decimal Number 408
29.6%
Dash Punctuation 76
 
5.5%
Close Punctuation 45
 
3.3%
Open Punctuation 44
 
3.2%
Other Punctuation 44
 
3.2%
Space Separator 31
 
2.2%
Math Symbol 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
42
 
5.8%
40
 
5.5%
40
 
5.5%
34
 
4.7%
32
 
4.4%
25
 
3.4%
24
 
3.3%
23
 
3.2%
21
 
2.9%
20
 
2.7%
Other values (137) 427
58.7%
Decimal Number
ValueCountFrequency (%)
3 86
21.1%
0 70
17.2%
6 57
14.0%
2 44
10.8%
4 43
10.5%
5 39
9.6%
8 23
 
5.6%
1 19
 
4.7%
9 14
 
3.4%
7 13
 
3.2%
Other Punctuation
ValueCountFrequency (%)
/ 42
95.5%
, 2
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 728
52.8%
Common 649
47.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
42
 
5.8%
40
 
5.5%
40
 
5.5%
34
 
4.7%
32
 
4.4%
25
 
3.4%
24
 
3.3%
23
 
3.2%
21
 
2.9%
20
 
2.7%
Other values (137) 427
58.7%
Common
ValueCountFrequency (%)
3 86
13.3%
- 76
11.7%
0 70
10.8%
6 57
8.8%
) 45
6.9%
( 44
6.8%
2 44
6.8%
4 43
6.6%
/ 42
6.5%
5 39
 
6.0%
Other values (7) 103
15.9%
Latin
ValueCountFrequency (%)
N 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 726
52.7%
ASCII 650
47.2%
Compat Jamo 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 86
13.2%
- 76
11.7%
0 70
10.8%
6 57
8.8%
) 45
6.9%
( 44
6.8%
2 44
6.8%
4 43
6.6%
/ 42
6.5%
5 39
 
6.0%
Other values (8) 104
16.0%
Hangul
ValueCountFrequency (%)
42
 
5.8%
40
 
5.5%
40
 
5.5%
34
 
4.7%
32
 
4.4%
25
 
3.4%
24
 
3.3%
23
 
3.2%
21
 
2.9%
20
 
2.8%
Other values (136) 425
58.5%
Compat Jamo
ValueCountFrequency (%)
2
100.0%

Interactions

2024-03-14T11:15:51.214218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T11:15:54.336774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번축 제 명개최기간주요내용주최/주관(담당자연락처)
연번1.0001.0000.9841.0000.941
축 제 명1.0001.0001.0001.0001.000
개최기간0.9841.0001.0001.0000.985
주요내용1.0001.0001.0001.0001.000
주최/주관(담당자연락처)0.9411.0000.9851.0001.000

Missing values

2024-03-14T11:15:51.319674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T11:15:51.417828image/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.
2024-03-14T11:15:51.510289image/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(담당자연락처)
01남원 지리산 바래봉 눈꽃축제1.1~2.14ㅇ눈썰매,얼음썰매,빙벽체험장,바래봉 눈꽃 등반대회,눈싸움 대회, 희망의 소원 연날리기, 허브체험 등 체험행사운봉읍/운봉애향회(620-3818)
12진안 운장산 고로쇠축제3.12~3.13ㅇ 고로쇠 채취체험, 고로쇠 가수왕 선발대회 ㅇ고로쇠를테마로한문화,전시,체험프로그램 운영 -고로쇠 떡,두부 만들기, 고로쇠비빔밥 만들기 등진안군/진안운장산고로쇠축제위원회(063-430-2393)
23완주 삼례딸기 대축제3.25~3.27ㅇ 딸기 품평회 및 수확 체험 ㅇ딸기및지역농산물판매코너 ㅇ개폐막공연,전라북도신나는예술버스공연 - 딸기떡 뽑기, 한소리 공연(국악, 사물놀이) 등 ㅇ도민노래자랑,이벤트행사(딸기빨리먹기등)완주군 기술보급과/삼례농협(063-290-3321)
34순창 옥천골벚꽃축제4.7~4.10ㅇ벚꽃길 걷기, 사생대회, 노래자랑 등순창군 문화관광과/ 옥천골벚꽃축제제전위원회(063-650-1625)
45진안 원연장꽃잔디축제4.23~5.1ㅇ꽃잔디 사진전시 및 경연대회 ㅇ꽃잔디를테마로한문화,전시,체험프로그램운영 -고로쇠 화분만들기,짚풀공예 ㅇ개막및주제공연진안군/진안원연장마을축제위원회(063-430-2393)
56고창 청보리밭축제4.16~5.8ㅇ청보리밭 테마길 걷기,보릿골 체험마당 등고창군 농업진흥과/고창청보리밭축제위원회(063-560-2522)
67임실 오수의견문화제5.14~15ㅇ김개인 탄생지 기념행사ㅇ의견의밤축하콘서트등 가요제ㅇ관내동아리경연대회등ㅇ체험행사4종등임실군 문화관광치즈과/오수의견문화전승회(063-640-2343)
78남원 바래봉 철쭉제4월말~5월중순ㅇ철쭉제례,농악 터울림,철쭉 트레킹,노래자랑 등운봉읍/운봉애향회(620-3818)
89제11회 군산꽁당보리축제4.29~5.1ㅇ보리를 테마로한 공연,전시, 체험프로그램 운영ㅇ꽁당보리매니아선발대회군산시 농촌지원과/군산시미성농업발전협의회(454-5232)
910전주 한지문화축제5.5~5.8ㅇ한지산업관, 한지놀이체험, 전국한지공예대전등전주시 관광산업과/전주한지문화축제조직위원회 (063-281-2931)
연번축 제 명개최기간주요내용주최/주관(담당자연락처)
97<NA><NA><NA><NA><NA>
98<NA><NA><NA><NA><NA>
99<NA><NA><NA><NA><NA>
100<NA><NA><NA><NA><NA>
101<NA><NA><NA><NA><NA>
102<NA><NA><NA><NA><NA>
103<NA><NA><NA><NA><NA>
104<NA><NA><NA><NA><NA>
105<NA><NA><NA><NA><NA>
106<NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

연번축 제 명개최기간주요내용주최/주관(담당자연락처)# duplicates
0<NA><NA><NA><NA><NA>60