Overview

Dataset statistics

Number of variables7
Number of observations21
Missing cells7
Missing cells (%)4.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory64.3 B

Variable types

Numeric2
Text5

Dataset

Description전라북도 신나는 예술버스 하반기 운행 일정(위치, 일시 등)
Author전라북도
URLhttps://www.data.go.kr/data/15055690/fileData.do

Alerts

연번 has 1 (4.8%) missing valuesMissing
시.군.읍면동 has 1 (4.8%) missing valuesMissing
공연일시 has 1 (4.8%) missing valuesMissing
행사명 has 1 (4.8%) missing valuesMissing
공연장소 has 1 (4.8%) missing valuesMissing
관람예상인원(명) has 1 (4.8%) missing valuesMissing
공연프로그램번호(4개선정) has 1 (4.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 20:10:30.995132
Analysis finished2023-12-12 20:10:32.050718
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)100.0%
Missing1
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean43.5
Minimum34
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-13T05:10:32.128354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34
5-th percentile34.95
Q138.75
median43.5
Q348.25
95-th percentile52.05
Maximum53
Range19
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation5.9160798
Coefficient of variation (CV)0.13600183
Kurtosis-1.2
Mean43.5
Median Absolute Deviation (MAD)5
Skewness0
Sum870
Variance35
MonotonicityStrictly increasing
2023-12-13T05:10:32.287999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
34 1
 
4.8%
45 1
 
4.8%
53 1
 
4.8%
52 1
 
4.8%
51 1
 
4.8%
50 1
 
4.8%
49 1
 
4.8%
48 1
 
4.8%
47 1
 
4.8%
46 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
34 1
4.8%
35 1
4.8%
36 1
4.8%
37 1
4.8%
38 1
4.8%
39 1
4.8%
40 1
4.8%
41 1
4.8%
42 1
4.8%
43 1
4.8%
ValueCountFrequency (%)
53 1
4.8%
52 1
4.8%
51 1
4.8%
50 1
4.8%
49 1
4.8%
48 1
4.8%
47 1
4.8%
46 1
4.8%
45 1
4.8%
44 1
4.8%

시.군.읍면동
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing1
Missing (%)4.8%
Memory size300.0 B
2023-12-13T05:10:32.505005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.6
Min length3

Characters and Unicode

Total characters112
Distinct characters39
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row완주군용진면
2nd row무주군번암면
3rd row장수군천천면
4th row김제시
5th row진안군성수면
ValueCountFrequency (%)
완주군용진면 1
 
5.0%
무주군번암면 1
 
5.0%
부안군진서면 1
 
5.0%
무주군무풍면 1
 
5.0%
부안군위도면 1
 
5.0%
순창군복흥면 1
 
5.0%
진안군진안읍 1
 
5.0%
부안군행안면 1
 
5.0%
익산시금마면 1
 
5.0%
장수군장계면 1
 
5.0%
Other values (10) 10
50.0%
2023-12-13T05:10:32.837774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 16
 
14.3%
면 13
 
11.6%
안 8
 
7.1%
주 7
 
6.2%
무 6
 
5.4%
진 5
 
4.5%
시 5
 
4.5%
산 4
 
3.6%
부 4
 
3.6%
읍 3
 
2.7%
Other values (29) 41
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 112
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 16
 
14.3%
면 13
 
11.6%
안 8
 
7.1%
주 7
 
6.2%
무 6
 
5.4%
진 5
 
4.5%
시 5
 
4.5%
산 4
 
3.6%
부 4
 
3.6%
읍 3
 
2.7%
Other values (29) 41
36.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 112
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 16
 
14.3%
면 13
 
11.6%
안 8
 
7.1%
주 7
 
6.2%
무 6
 
5.4%
진 5
 
4.5%
시 5
 
4.5%
산 4
 
3.6%
부 4
 
3.6%
읍 3
 
2.7%
Other values (29) 41
36.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 112
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 16
 
14.3%
면 13
 
11.6%
안 8
 
7.1%
주 7
 
6.2%
무 6
 
5.4%
진 5
 
4.5%
시 5
 
4.5%
산 4
 
3.6%
부 4
 
3.6%
읍 3
 
2.7%
Other values (29) 41
36.6%

공연일시
Text

MISSING 

Distinct19
Distinct (%)95.0%
Missing1
Missing (%)4.8%
Memory size300.0 B
2023-12-13T05:10:33.015307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length22.05
Min length21

Characters and Unicode

Total characters441
Distinct characters23
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)90.0%

Sample

1st row10. 1(수) 13:00 ~ 14:20
2nd row10. 1(수) 10:00 ~ 11:20
3rd row10. 2(목) 09:00 ~ 10:20
4th row10. 2(목) 19:00 ~ 20:20
5th row10 . 3(금)10:00 ~ 11:20
ValueCountFrequency (%)
21
22.1%
10 19
20.0%
14:00 6
 
6.3%
15:20 5
 
5.3%
14:20 4
 
4.2%
13:00 3
 
3.2%
11:20 2
 
2.1%
11(토 2
 
2.1%
9(금 2
 
2.1%
25(토 2
 
2.1%
Other values (27) 29
30.5%
2023-12-13T05:10:33.336327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 83
18.8%
75
17.0%
1 72
16.3%
: 40
9.1%
2 25
 
5.7%
~ 20
 
4.5%
. 20
 
4.5%
( 20
 
4.5%
) 20
 
4.5%
4 13
 
2.9%
Other values (13) 53
12.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 226
51.2%
Space Separator 75
 
17.0%
Other Punctuation 60
 
13.6%
Math Symbol 20
 
4.5%
Open Punctuation 20
 
4.5%
Close Punctuation 20
 
4.5%
Other Letter 20
 
4.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 83
36.7%
1 72
31.9%
2 25
 
11.1%
4 13
 
5.8%
5 11
 
4.9%
3 10
 
4.4%
9 4
 
1.8%
6 3
 
1.3%
7 3
 
1.3%
8 2
 
0.9%
Other Letter
ValueCountFrequency (%)
토 5
25.0%
금 4
20.0%
수 4
20.0%
목 3
15.0%
화 2
 
10.0%
일 1
 
5.0%
월 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
: 40
66.7%
. 20
33.3%
Space Separator
ValueCountFrequency (%)
75
100.0%
Math Symbol
ValueCountFrequency (%)
~ 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 421
95.5%
Hangul 20
 
4.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 83
19.7%
75
17.8%
1 72
17.1%
: 40
9.5%
2 25
 
5.9%
~ 20
 
4.8%
. 20
 
4.8%
( 20
 
4.8%
) 20
 
4.8%
4 13
 
3.1%
Other values (6) 33
 
7.8%
Hangul
ValueCountFrequency (%)
토 5
25.0%
금 4
20.0%
수 4
20.0%
목 3
15.0%
화 2
 
10.0%
일 1
 
5.0%
월 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 421
95.5%
Hangul 20
 
4.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 83
19.7%
75
17.8%
1 72
17.1%
: 40
9.5%
2 25
 
5.9%
~ 20
 
4.8%
. 20
 
4.8%
( 20
 
4.8%
) 20
 
4.8%
4 13
 
3.1%
Other values (6) 33
 
7.8%
Hangul
ValueCountFrequency (%)
토 5
25.0%
금 4
20.0%
수 4
20.0%
목 3
15.0%
화 2
 
10.0%
일 1
 
5.0%
월 1
 
5.0%

행사명
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing1
Missing (%)4.8%
Memory size300.0 B
2023-12-13T05:10:33.522985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14.5
Mean length10.25
Min length4

Characters and Unicode

Total characters205
Distinct characters76
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

Unique20 ?
Unique (%)100.0%

Sample

1st row용진면민의날 행사
2nd row슬로장터
3rd row천천면노인의날 행사
4th row전통시장과 함께하는 화합한마당(지평선)
5th row성수면민의날 행사
ValueCountFrequency (%)
행사 12
26.7%
노인의날 3
 
6.7%
한마당 2
 
4.4%
제 2
 
4.4%
기업체와 1
 
2.2%
수산물축제 1
 
2.2%
곰소젖갈 1
 
2.2%
무풍사과축제 1
 
2.2%
위도면민의날 1
 
2.2%
복흥면민의날 1
 
2.2%
Other values (20) 20
44.4%
2023-12-13T05:10:33.857814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25
 
12.2%
행 14
 
6.8%
사 14
 
6.8%
의 12
 
5.9%
날 12
 
5.9%
면 9
 
4.4%
민 7
 
3.4%
제 6
 
2.9%
마 5
 
2.4%
인 5
 
2.4%
Other values (66) 96
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 171
83.4%
Space Separator 25
 
12.2%
Decimal Number 6
 
2.9%
Open Punctuation 1
 
0.5%
Close Punctuation 1
 
0.5%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
행 14
 
8.2%
사 14
 
8.2%
의 12
 
7.0%
날 12
 
7.0%
면 9
 
5.3%
민 7
 
4.1%
제 6
 
3.5%
마 5
 
2.9%
인 5
 
2.9%
노 4
 
2.3%
Other values (57) 83
48.5%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
2 1
16.7%
0 1
16.7%
9 1
16.7%
8 1
16.7%
Space Separator
ValueCountFrequency (%)
25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 171
83.4%
Common 34
 
16.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
행 14
 
8.2%
사 14
 
8.2%
의 12
 
7.0%
날 12
 
7.0%
면 9
 
5.3%
민 7
 
4.1%
제 6
 
3.5%
마 5
 
2.9%
인 5
 
2.9%
노 4
 
2.3%
Other values (57) 83
48.5%
Common
ValueCountFrequency (%)
25
73.5%
1 2
 
5.9%
2 1
 
2.9%
0 1
 
2.9%
9 1
 
2.9%
( 1
 
2.9%
) 1
 
2.9%
, 1
 
2.9%
8 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 171
83.4%
ASCII 34
 
16.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25
73.5%
1 2
 
5.9%
2 1
 
2.9%
0 1
 
2.9%
9 1
 
2.9%
( 1
 
2.9%
) 1
 
2.9%
, 1
 
2.9%
8 1
 
2.9%
Hangul
ValueCountFrequency (%)
행 14
 
8.2%
사 14
 
8.2%
의 12
 
7.0%
날 12
 
7.0%
면 9
 
5.3%
민 7
 
4.1%
제 6
 
3.5%
마 5
 
2.9%
인 5
 
2.9%
노 4
 
2.3%
Other values (57) 83
48.5%

공연장소
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing1
Missing (%)4.8%
Memory size300.0 B
2023-12-13T05:10:34.097210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length7.95
Min length4

Characters and Unicode

Total characters159
Distinct characters74
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row용진중학교
2nd row노단천변
3rd row천천노인복지회관
4th row전통시장 광장
5th row성수면외궁초교
ValueCountFrequency (%)
파크 2
 
5.7%
운동장 2
 
5.7%
용진중학교 1
 
2.9%
익산중학교 1
 
2.9%
부안 1
 
2.9%
부지 1
 
2.9%
다용도 1
 
2.9%
곰소 1
 
2.9%
특설무대 1
 
2.9%
무풍체육공원 1
 
2.9%
Other values (23) 23
65.7%
2023-12-13T05:10:34.452863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
9.4%
장 7
 
4.4%
학 6
 
3.8%
교 6
 
3.8%
체 5
 
3.1%
육 5
 
3.1%
천 4
 
2.5%
전 4
 
2.5%
부 3
 
1.9%
관 3
 
1.9%
Other values (64) 101
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144
90.6%
Space Separator 15
 
9.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 7
 
4.9%
학 6
 
4.2%
교 6
 
4.2%
체 5
 
3.5%
육 5
 
3.5%
천 4
 
2.8%
전 4
 
2.8%
부 3
 
2.1%
관 3
 
2.1%
면 3
 
2.1%
Other values (63) 98
68.1%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 144
90.6%
Common 15
 
9.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 7
 
4.9%
학 6
 
4.2%
교 6
 
4.2%
체 5
 
3.5%
육 5
 
3.5%
천 4
 
2.8%
전 4
 
2.8%
부 3
 
2.1%
관 3
 
2.1%
면 3
 
2.1%
Other values (63) 98
68.1%
Common
ValueCountFrequency (%)
15
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 144
90.6%
ASCII 15
 
9.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15
100.0%
Hangul
ValueCountFrequency (%)
장 7
 
4.9%
학 6
 
4.2%
교 6
 
4.2%
체 5
 
3.5%
육 5
 
3.5%
천 4
 
2.8%
전 4
 
2.8%
부 3
 
2.1%
관 3
 
2.1%
면 3
 
2.1%
Other values (63) 98
68.1%

관람예상인원(명)
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)35.0%
Missing1
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean940
Minimum300
Maximum3000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-13T05:10:34.904401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum300
5-th percentile300
Q1500
median1000
Q31000
95-th percentile2050
Maximum3000
Range2700
Interquartile range (IQR)500

Descriptive statistics

Standard deviation621.88169
Coefficient of variation (CV)0.66157627
Kurtosis6.0725195
Mean940
Median Absolute Deviation (MAD)100
Skewness2.1521421
Sum18800
Variance386736.84
MonotonicityNot monotonic
2023-12-13T05:10:35.015347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1000 10
47.6%
300 3
 
14.3%
500 3
 
14.3%
3000 1
 
4.8%
600 1
 
4.8%
2000 1
 
4.8%
800 1
 
4.8%
(Missing) 1
 
4.8%
ValueCountFrequency (%)
300 3
 
14.3%
500 3
 
14.3%
600 1
 
4.8%
800 1
 
4.8%
1000 10
47.6%
2000 1
 
4.8%
3000 1
 
4.8%
ValueCountFrequency (%)
3000 1
 
4.8%
2000 1
 
4.8%
1000 10
47.6%
800 1
 
4.8%
600 1
 
4.8%
500 3
 
14.3%
300 3
 
14.3%

공연프로그램번호(4개선정)
Text

MISSING 

Distinct19
Distinct (%)95.0%
Missing1
Missing (%)4.8%
Memory size300.0 B
2023-12-13T05:10:35.173749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length12.45
Min length10

Characters and Unicode

Total characters249
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)90.0%

Sample

1st row3, 14, 25, 26
2nd row6, 9, 10, 12
3rd row5, 14, 15, 24
4th row1, 6, 19,25
5th row4, 14, 20, 25
ValueCountFrequency (%)
25 10
12.8%
14 9
11.5%
4 6
 
7.7%
20 6
 
7.7%
24 5
 
6.4%
1 5
 
6.4%
3 5
 
6.4%
5 4
 
5.1%
12 4
 
5.1%
6 3
 
3.8%
Other values (12) 21
26.9%
2023-12-13T05:10:35.490837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 60
24.1%
58
23.3%
2 38
15.3%
1 26
10.4%
4 20
 
8.0%
5 17
 
6.8%
6 8
 
3.2%
0 7
 
2.8%
3 6
 
2.4%
9 5
 
2.0%
Other values (2) 4
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 131
52.6%
Other Punctuation 60
24.1%
Space Separator 58
23.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 38
29.0%
1 26
19.8%
4 20
15.3%
5 17
13.0%
6 8
 
6.1%
0 7
 
5.3%
3 6
 
4.6%
9 5
 
3.8%
8 3
 
2.3%
7 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 60
100.0%
Space Separator
ValueCountFrequency (%)
58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 249
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 60
24.1%
58
23.3%
2 38
15.3%
1 26
10.4%
4 20
 
8.0%
5 17
 
6.8%
6 8
 
3.2%
0 7
 
2.8%
3 6
 
2.4%
9 5
 
2.0%
Other values (2) 4
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 249
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 60
24.1%
58
23.3%
2 38
15.3%
1 26
10.4%
4 20
 
8.0%
5 17
 
6.8%
6 8
 
3.2%
0 7
 
2.8%
3 6
 
2.4%
9 5
 
2.0%
Other values (2) 4
 
1.6%

Interactions

2023-12-13T05:10:31.503122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:10:31.330670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:10:31.586112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:10:31.420233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:10:35.581418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시.군.읍면동공연일시행사명공연장소관람예상인원(명)공연프로그램번호(4개선정)
연번1.0001.0001.0001.0001.0000.0000.917
시.군.읍면동1.0001.0001.0001.0001.0001.0001.000
공연일시1.0001.0001.0001.0001.0001.0000.980
행사명1.0001.0001.0001.0001.0001.0001.000
공연장소1.0001.0001.0001.0001.0001.0001.000
관람예상인원(명)0.0001.0001.0001.0001.0001.0001.000
공연프로그램번호(4개선정)0.9171.0000.9801.0001.0001.0001.000
2023-12-13T05:10:35.698769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관람예상인원(명)
연번1.0000.102
관람예상인원(명)0.1021.000

Missing values

2023-12-13T05:10:31.706719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:10:31.838234image/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.
2023-12-13T05:10:31.959676image/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

연번시.군.읍면동공연일시행사명공연장소관람예상인원(명)공연프로그램번호(4개선정)
034완주군용진면10. 1(수) 13:00 ~ 14:20용진면민의날 행사용진중학교10003, 14, 25, 26
135무주군번암면10. 1(수) 10:00 ~ 11:20슬로장터노단천변3006, 9, 10, 12
236장수군천천면10. 2(목) 09:00 ~ 10:20천천면노인의날 행사천천노인복지회관5005, 14, 15, 24
337김제시10. 2(목) 19:00 ~ 20:20전통시장과 함께하는 화합한마당(지평선)전통시장 광장10001, 6, 19,25
438진안군성수면10 . 3(금)10:00 ~ 11:20성수면민의날 행사성수면외궁초교10004, 14, 20, 25
539무주군설천면10. 3(금)13:30 ~ 14:50설천면민의날 행사설천면 생활체육공원300012, 14, 24, 25
640남원시금동10. 4(토)15:00 ~ 16:20팔도장터 관광,문화행사공설시장5003, 14, 16, 20
741전주시완산10. 5(일)13:00 ~ 14:20독서문화 한마당전주 동물원10003, 5, 22, 26
842고창군고창읍10. 6(월) 10:30 ~ 11:50제 18회 노인의날 행사고창 문화의전당6001, 3, 5, 6
943무주군무주읍10. 7(화) 13:00 ~ 14:20제 19회 노인의날 행사반딧불체육관20001, 5, 14, 20
연번시.군.읍면동공연일시행사명공연장소관람예상인원(명)공연프로그램번호(4개선정)
1145장수군장계면10. 8(수)12:40 ~ 14:00장계면 노인의날 행사장계국민체육센터5004, 8, 24, 25
1246익산시금마면10. 9(금) 14:00 ~ 15:20금마면민의날 행사익산중학교 운동장10004, 14, 22, 25
1347부안군행안면10. 9(금) 14:00 ~ 15:20행안면민의날 행사부안스포츠 파크100014, 16, 24, 25
1448진안군진안읍10. 11(토) 16:00 ~ 17:20제20회 마이문화제진안초등학교 운동장3009, 12, 16, 25
1549순창군복흥면10. 11(토) 12:00 ~ 13:20복흥면민의날 행사복흥면 정산초등학교10001, 8, 13, 22
1650부안군위도면10. 17(목) 14:00 ~ 15:20위도면민의날 행사위도중고등학교 강당8004, 20, 25, 27
1751무주군무풍면10. 25(토) 13:00 ~ 14:20무풍사과축제무풍체육공원 특설무대10001, 3, 9, 12
1852부안군진서면10. 25(토) 14:00 ~ 15:20곰소젖갈 수산물축제곰소 다용도 부지10004, 20, 24, 25
1953부안군11. 11(화) 14:00 ~ 15:20농업인의날 행사부안 스포츠 파크10004, 14, 20, 25
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