Overview

Dataset statistics

Number of variables22
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.1 KiB
Average record size in memory183.9 B

Variable types

Numeric3
Categorical8
Text9
DateTime2

Alerts

축제내용 has constant value ""Constant
데이터기준 has constant value ""Constant
자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 00:45:55.393154
Analysis finished2024-03-14 00:45:55.890049
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.088235
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-03-14T09:45:55.949074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.65
Q19.25
median18.5
Q326.75
95-th percentile33.35
Maximum35
Range34
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation10.387544
Coefficient of variation (CV)0.57427072
Kurtosis-1.2488441
Mean18.088235
Median Absolute Deviation (MAD)9
Skewness-0.026300764
Sum615
Variance107.90107
MonotonicityStrictly increasing
2024-03-14T09:45:56.051431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 1
 
2.9%
28 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
27 1
 
2.9%
29 1
 
2.9%
20 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
35 1
2.9%
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%

시군명
Categorical

Distinct12
Distinct (%)35.3%
Missing0
Missing (%)0.0%
Memory size404.0 B
전주시
7 
고창군
7 
진안군
5 
익산시
3 
임실군
3 
Other values (7)
9 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique5 ?
Unique (%)14.7%

Sample

1st row전주시
2nd row전주시
3rd row전주시
4th row전주시
5th row전주시

Common Values

ValueCountFrequency (%)
전주시 7
20.6%
고창군 7
20.6%
진안군 5
14.7%
익산시 3
8.8%
임실군 3
8.8%
정읍시 2
 
5.9%
무주군 2
 
5.9%
김제시 1
 
2.9%
장수군 1
 
2.9%
순창군 1
 
2.9%
Other values (2) 2
 
5.9%

Length

2024-03-14T09:45:56.169731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 7
20.6%
고창군 7
20.6%
진안군 5
14.7%
익산시 3
8.8%
임실군 3
8.8%
정읍시 2
 
5.9%
무주군 2
 
5.9%
김제시 1
 
2.9%
장수군 1
 
2.9%
순창군 1
 
2.9%
Other values (2) 2
 
5.9%

축제명
Text

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T09:45:56.351708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length15
Mean length9.1176471
Min length4

Characters and Unicode

Total characters310
Distinct characters116
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)94.1%

Sample

1st row전주한지문화축제
2nd row전주비빔밥축제
3rd row전주국제영화제
4th row전주단오축제
5th row전주세계소리축제
ValueCountFrequency (%)
동학농민혁명 2
 
3.8%
진안 2
 
3.8%
무장기포기념제와 2
 
3.8%
무장읍성 2
 
3.8%
수박축제 1
 
1.9%
부안마실축제 1
 
1.9%
만나다 1
 
1.9%
1
 
1.9%
전주한지문화축제 1
 
1.9%
제9회반딧불축제 1
 
1.9%
Other values (38) 38
73.1%
2024-03-14T09:45:56.847076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 39
 
12.6%
축 21
 
6.8%
18
 
5.8%
화 9
 
2.9%
주 9
 
2.9%
장 8
 
2.6%
문 7
 
2.3%
전 7
 
2.3%
무 5
 
1.6%
기 5
 
1.6%
Other values (106) 182
58.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 277
89.4%
Space Separator 18
 
5.8%
Decimal Number 13
 
4.2%
Dash Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 39
 
14.1%
축 21
 
7.6%
화 9
 
3.2%
주 9
 
3.2%
장 8
 
2.9%
문 7
 
2.5%
전 7
 
2.5%
무 5
 
1.8%
기 5
 
1.8%
마 5
 
1.8%
Other values (97) 162
58.5%
Decimal Number
ValueCountFrequency (%)
1 3
23.1%
2 3
23.1%
0 2
15.4%
5 2
15.4%
9 1
 
7.7%
7 1
 
7.7%
8 1
 
7.7%
Space Separator
ValueCountFrequency (%)
18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 277
89.4%
Common 33
 
10.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 39
 
14.1%
축 21
 
7.6%
화 9
 
3.2%
주 9
 
3.2%
장 8
 
2.9%
문 7
 
2.5%
전 7
 
2.5%
무 5
 
1.8%
기 5
 
1.8%
마 5
 
1.8%
Other values (97) 162
58.5%
Common
ValueCountFrequency (%)
18
54.5%
1 3
 
9.1%
2 3
 
9.1%
0 2
 
6.1%
5 2
 
6.1%
- 2
 
6.1%
9 1
 
3.0%
7 1
 
3.0%
8 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 277
89.4%
ASCII 33
 
10.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 39
 
14.1%
축 21
 
7.6%
화 9
 
3.2%
주 9
 
3.2%
장 8
 
2.9%
문 7
 
2.5%
전 7
 
2.5%
무 5
 
1.8%
기 5
 
1.8%
마 5
 
1.8%
Other values (97) 162
58.5%
ASCII
ValueCountFrequency (%)
18
54.5%
1 3
 
9.1%
2 3
 
9.1%
0 2
 
6.1%
5 2
 
6.1%
- 2
 
6.1%
9 1
 
3.0%
7 1
 
3.0%
8 1
 
3.0%

개최장소
Text

Distinct32
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T09:45:57.027387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length8.7647059
Min length4

Characters and Unicode

Total characters298
Distinct characters113
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

Unique30 ?
Unique (%)88.2%

Sample

1st row한국전통문화전당 일원
2nd row한국전통문화전당
3rd row영화의거리(메가박스) 외 4개소
4th row덕진공원
5th row전주소리문화전당
ValueCountFrequency (%)
일원 7
 
11.7%
동학농민혁명 2
 
3.3%
및 2
 
3.3%
무장 2
 
3.3%
중앙체육공원 2
 
3.3%
한국전통문화전당 2
 
3.3%
무장기포지 2
 
3.3%
진안읍 2
 
3.3%
전통고추장민속마을 1
 
1.7%
전라북도 1
 
1.7%
Other values (37) 37
61.7%
2024-03-14T09:45:57.326366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
8.7%
원 22
 
7.4%
전 12
 
4.0%
장 11
 
3.7%
일 11
 
3.7%
공 9
 
3.0%
화 8
 
2.7%
문 8
 
2.7%
체 6
 
2.0%
당 5
 
1.7%
Other values (103) 180
60.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 268
89.9%
Space Separator 26
 
8.7%
Other Punctuation 1
 
0.3%
Decimal Number 1
 
0.3%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 22
 
8.2%
전 12
 
4.5%
장 11
 
4.1%
일 11
 
4.1%
공 9
 
3.4%
화 8
 
3.0%
문 8
 
3.0%
체 6
 
2.2%
당 5
 
1.9%
무 5
 
1.9%
Other values (98) 171
63.8%
Space Separator
ValueCountFrequency (%)
26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 268
89.9%
Common 30
 
10.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 22
 
8.2%
전 12
 
4.5%
장 11
 
4.1%
일 11
 
4.1%
공 9
 
3.4%
화 8
 
3.0%
문 8
 
3.0%
체 6
 
2.2%
당 5
 
1.9%
무 5
 
1.9%
Other values (98) 171
63.8%
Common
ValueCountFrequency (%)
26
86.7%
, 1
 
3.3%
4 1
 
3.3%
) 1
 
3.3%
( 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 268
89.9%
ASCII 30
 
10.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
86.7%
, 1
 
3.3%
4 1
 
3.3%
) 1
 
3.3%
( 1
 
3.3%
Hangul
ValueCountFrequency (%)
원 22
 
8.2%
전 12
 
4.5%
장 11
 
4.1%
일 11
 
4.1%
공 9
 
3.4%
화 8
 
3.0%
문 8
 
3.0%
체 6
 
2.2%
당 5
 
1.9%
무 5
 
1.9%
Other values (98) 171
63.8%

축제시작일
Date

Distinct25
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum2015-03-14 00:00:00
Maximum2015-10-31 00:00:00
2024-03-14T09:45:57.425067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:45:57.568728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

축제종료일
Date

Distinct24
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum2015-03-15 00:00:00
Maximum2015-11-08 00:00:00
2024-03-14T09:45:57.713933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:45:57.800407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

축제내용
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
-
34 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 34
100.0%

Length

2024-03-14T09:45:57.887122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:45:57.969554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
34
100.0%

주관기관
Text

Distinct31
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T09:45:58.134053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length10.647059
Min length1

Characters and Unicode

Total characters362
Distinct characters117
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

Unique29 ?
Unique (%)85.3%

Sample

1st row전주시, 전주한지문화축제조직위원회
2nd row비빔밥축제조직위원회
3rd row전주국제영화제집행위원회
4th row풍남문화법인
5th row전주세계소리축제조직위원회
ValueCountFrequency (%)
임실군 3
 
7.5%
조직위원회 2
 
5.0%
익산시 2
 
5.0%
전주한지문화축제조직위원회 1
 
2.5%
전주시 1
 
2.5%
동향면체육회/수박축제추진위원회 1
 
2.5%
마실축제제전위원회 1
 
2.5%
부안 1
 
2.5%
고창갯벌축제위원회 1
 
2.5%
사)장수한우랑사과랑축제추진위원회 1
 
2.5%
Other values (26) 26
65.0%
2024-03-14T09:45:58.400158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 29
 
8.0%
회 26
 
7.2%
원 23
 
6.4%
위 23
 
6.4%
축 16
 
4.4%
전 11
 
3.0%
사 10
 
2.8%
직 8
 
2.2%
조 8
 
2.2%
주 8
 
2.2%
Other values (107) 200
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 339
93.6%
Space Separator 6
 
1.7%
Close Punctuation 6
 
1.7%
Open Punctuation 4
 
1.1%
Decimal Number 4
 
1.1%
Other Punctuation 2
 
0.6%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 29
 
8.6%
회 26
 
7.7%
원 23
 
6.8%
위 23
 
6.8%
축 16
 
4.7%
전 11
 
3.2%
사 10
 
2.9%
직 8
 
2.4%
조 8
 
2.4%
주 8
 
2.4%
Other values (97) 177
52.2%
Decimal Number
ValueCountFrequency (%)
2 1
25.0%
0 1
25.0%
1 1
25.0%
5 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
/ 1
50.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 339
93.6%
Common 23
 
6.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 29
 
8.6%
회 26
 
7.7%
원 23
 
6.8%
위 23
 
6.8%
축 16
 
4.7%
전 11
 
3.2%
사 10
 
2.9%
직 8
 
2.4%
조 8
 
2.4%
주 8
 
2.4%
Other values (97) 177
52.2%
Common
ValueCountFrequency (%)
6
26.1%
) 6
26.1%
( 4
17.4%
, 1
 
4.3%
/ 1
 
4.3%
2 1
 
4.3%
0 1
 
4.3%
1 1
 
4.3%
- 1
 
4.3%
5 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 339
93.6%
ASCII 23
 
6.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 29
 
8.6%
회 26
 
7.7%
원 23
 
6.8%
위 23
 
6.8%
축 16
 
4.7%
전 11
 
3.2%
사 10
 
2.9%
직 8
 
2.4%
조 8
 
2.4%
주 8
 
2.4%
Other values (97) 177
52.2%
ASCII
ValueCountFrequency (%)
6
26.1%
) 6
26.1%
( 4
17.4%
, 1
 
4.3%
/ 1
 
4.3%
2 1
 
4.3%
0 1
 
4.3%
1 1
 
4.3%
- 1
 
4.3%
5 1
 
4.3%

주최기관
Text

Distinct29
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T09:45:58.557910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length13.5
Mean length8.2058824
Min length1

Characters and Unicode

Total characters279
Distinct characters97
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

Unique26 ?
Unique (%)76.5%

Sample

1st row전라북도 전주시, 전주한지문화축제조직위원회
2nd row전라북도 전주시
3rd row전주국제영화제집행위원회
4th row전라북도 전주시
5th row전라북도
ValueCountFrequency (%)
전라북도 7
 
15.6%
전주시 5
 
11.1%
진안군 3
 
6.7%
정읍시 2
 
4.4%
전주한지문화축제조직위원회 1
 
2.2%
소충사선문화제전위원회 1
 
2.2%
마실축제제전위원회 1
 
2.2%
부안 1
 
2.2%
사)모양성보존회 1
 
2.2%
1
 
2.2%
Other values (22) 22
48.9%
2024-03-14T09:45:58.825247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 17
 
6.1%
제 15
 
5.4%
회 14
 
5.0%
11
 
3.9%
원 11
 
3.9%
위 11
 
3.9%
주 10
 
3.6%
시 8
 
2.9%
축 7
 
2.5%
화 7
 
2.5%
Other values (87) 168
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 257
92.1%
Space Separator 11
 
3.9%
Decimal Number 4
 
1.4%
Open Punctuation 2
 
0.7%
Close Punctuation 2
 
0.7%
Other Punctuation 2
 
0.7%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 17
 
6.6%
제 15
 
5.8%
회 14
 
5.4%
원 11
 
4.3%
위 11
 
4.3%
주 10
 
3.9%
시 8
 
3.1%
축 7
 
2.7%
화 7
 
2.7%
라 7
 
2.7%
Other values (78) 150
58.4%
Decimal Number
ValueCountFrequency (%)
5 1
25.0%
1 1
25.0%
0 1
25.0%
2 1
25.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 257
92.1%
Common 22
 
7.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 17
 
6.6%
제 15
 
5.8%
회 14
 
5.4%
원 11
 
4.3%
위 11
 
4.3%
주 10
 
3.9%
시 8
 
3.1%
축 7
 
2.7%
화 7
 
2.7%
라 7
 
2.7%
Other values (78) 150
58.4%
Common
ValueCountFrequency (%)
11
50.0%
( 2
 
9.1%
) 2
 
9.1%
, 2
 
9.1%
5 1
 
4.5%
1 1
 
4.5%
0 1
 
4.5%
2 1
 
4.5%
- 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 257
92.1%
ASCII 22
 
7.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 17
 
6.6%
제 15
 
5.8%
회 14
 
5.4%
원 11
 
4.3%
위 11
 
4.3%
주 10
 
3.9%
시 8
 
3.1%
축 7
 
2.7%
화 7
 
2.7%
라 7
 
2.7%
Other values (78) 150
58.4%
ASCII
ValueCountFrequency (%)
11
50.0%
( 2
 
9.1%
) 2
 
9.1%
, 2
 
9.1%
5 1
 
4.5%
1 1
 
4.5%
0 1
 
4.5%
2 1
 
4.5%
- 1
 
4.5%

후원기관
Categorical

Distinct15
Distinct (%)44.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
-
13 
익산시
3 
고창군
3 
문화체육관광부
2 
전라북도
2 
Other values (10)
11 

Length

Max length60
Median length33
Mean length7.5294118
Min length1

Unique

Unique9 ?
Unique (%)26.5%

Sample

1st row-
2nd row문화체육관광부
3rd row문화체육관광부, 전라북도, 전주시, 영화진흥위원회
4th row전라북도
5th row문화체육관광부

Common Values

ValueCountFrequency (%)
- 13
38.2%
익산시 3
 
8.8%
고창군 3
 
8.8%
문화체육관광부 2
 
5.9%
전라북도 2
 
5.9%
진안군 2
 
5.9%
문화체육관광부, 전라북도, 전주시, 영화진흥위원회 1
 
2.9%
문화관광체육부, 전라북도 1
 
2.9%
농림축산식품부, 산업통상자원부, 식품의약품안전처, 국립농산물품질관리원, 한국식품연구원, 전라북도생물산업진흥원 1
 
2.9%
문화체육관광부 외 74개단체 1
 
2.9%
Other values (5) 5
 
14.7%

Length

2024-03-14T09:45:58.931417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
13
24.1%
고창군 6
 
11.1%
전라북도 6
 
11.1%
문화체육관광부 5
 
9.3%
익산시 3
 
5.6%
진안군 2
 
3.7%
외 1
 
1.9%
고창수산업협동조합 1
 
1.9%
해양수산부 1
 
1.9%
한수원㈜ 1
 
1.9%
Other values (15) 15
27.8%

전화번호
Text

Distinct31
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T09:45:59.084567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.352941
Min length1

Characters and Unicode

Total characters386
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)82.4%

Sample

1st row063-271-2503
2nd row063-277-2515
3rd row063-280-7914
4th row063-277-2515
5th row063-232-8398
ValueCountFrequency (%)
063-560-2461 2
 
5.9%
2
 
5.9%
063-277-2515 2
 
5.9%
063-430-2842 1
 
2.9%
063-271-2503 1
 
2.9%
063-430-8247 1
 
2.9%
063-561-2132 1
 
2.9%
063-560-8058 1
 
2.9%
063-561-1422 1
 
2.9%
063-562-9897 1
 
2.9%
Other values (21) 21
61.8%
2024-03-14T09:45:59.424373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 66
17.1%
3 56
14.5%
0 55
14.2%
6 50
13.0%
2 40
10.4%
5 30
7.8%
4 22
 
5.7%
8 21
 
5.4%
9 16
 
4.1%
1 15
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 320
82.9%
Dash Punctuation 66
 
17.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 56
17.5%
0 55
17.2%
6 50
15.6%
2 40
12.5%
5 30
9.4%
4 22
 
6.9%
8 21
 
6.6%
9 16
 
5.0%
1 15
 
4.7%
7 15
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 386
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 66
17.1%
3 56
14.5%
0 55
14.2%
6 50
13.0%
2 40
10.4%
5 30
7.8%
4 22
 
5.7%
8 21
 
5.4%
9 16
 
4.1%
1 15
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 386
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 66
17.1%
3 56
14.5%
0 55
14.2%
6 50
13.0%
2 40
10.4%
5 30
7.8%
4 22
 
5.7%
8 21
 
5.4%
9 16
 
4.1%
1 15
 
3.9%

홈페이지
Text

Distinct24
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T09:45:59.575028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28
Mean length18.588235
Min length1

Characters and Unicode

Total characters632
Distinct characters29
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)61.8%

Sample

1st rowhttp://www.jhanji.or.kr
2nd rowhttp://www.bibimbapfest.com/
3rd row-
4th rowhttp://www.pncc.or.kr
5th rowhttp://www.sorifestival.com
ValueCountFrequency (%)
8
23.5%
http://tour.jinan.go.kr 3
 
8.8%
http://donghak.gochang.go.kr 2
 
5.9%
http://www.mjff.or.kr 1
 
2.9%
http://www.jhanji.or.kr 1
 
2.9%
http://www.firefly.or.kr 1
 
2.9%
http://mud-exp.gochang.go.kr 1
 
2.9%
www.seonunsa.org 1
 
2.9%
http://chungbori.gochang.go.kr 1
 
2.9%
http://moyangfestival.gochang.go.kr 1
 
2.9%
Other values (14) 14
41.2%
2024-03-14T09:45:59.958679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 70
 
11.1%
t 50
 
7.9%
/ 45
 
7.1%
o 44
 
7.0%
w 44
 
7.0%
r 34
 
5.4%
g 32
 
5.1%
h 30
 
4.7%
n 28
 
4.4%
a 27
 
4.3%
Other values (19) 228
36.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 486
76.9%
Other Punctuation 135
 
21.4%
Dash Punctuation 10
 
1.6%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 50
 
10.3%
o 44
 
9.1%
w 44
 
9.1%
r 34
 
7.0%
g 32
 
6.6%
h 30
 
6.2%
n 28
 
5.8%
a 27
 
5.6%
k 26
 
5.3%
p 25
 
5.1%
Other values (14) 146
30.0%
Other Punctuation
ValueCountFrequency (%)
. 70
51.9%
/ 45
33.3%
: 20
 
14.8%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 487
77.1%
Common 145
 
22.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 50
 
10.3%
o 44
 
9.0%
w 44
 
9.0%
r 34
 
7.0%
g 32
 
6.6%
h 30
 
6.2%
n 28
 
5.7%
a 27
 
5.5%
k 26
 
5.3%
p 25
 
5.1%
Other values (15) 147
30.2%
Common
ValueCountFrequency (%)
. 70
48.3%
/ 45
31.0%
: 20
 
13.8%
- 10
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 632
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 70
 
11.1%
t 50
 
7.9%
/ 45
 
7.1%
o 44
 
7.0%
w 44
 
7.0%
r 34
 
5.4%
g 32
 
5.1%
h 30
 
4.7%
n 28
 
4.4%
a 27
 
4.3%
Other values (19) 228
36.1%

관련정보
Text

Distinct18
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T09:46:00.165888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length52
Mean length13.882353
Min length1

Characters and Unicode

Total characters472
Distinct characters132
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

Unique16 ?
Unique (%)47.1%

Sample

1st row한지산업지원센터, 한옥마을, 객사, 덕진공원
2nd row한지산업지원센터, 한옥마을, 객사, 덕진공원
3rd row한지산업지원센터, 한옥마을, 객사, 덕진공원
4th row한지산업지원센터, 한옥마을, 객사, 덕진공원
5th row한지산업지원센터, 한옥마을, 객사, 덕진공원
ValueCountFrequency (%)
12
 
13.2%
덕진공원 7
 
7.7%
한옥마을 6
 
6.6%
객사 6
 
6.6%
한지산업지원센터 6
 
6.6%
등 3
 
3.3%
기념식 3
 
3.3%
공연 2
 
2.2%
장수 1
 
1.1%
한우랑 1
 
1.1%
Other values (44) 44
48.4%
2024-03-14T09:46:00.475317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57
 
12.1%
, 30
 
6.4%
지 18
 
3.8%
원 16
 
3.4%
한 15
 
3.2%
- 14
 
3.0%
공 12
 
2.5%
기 9
 
1.9%
산 9
 
1.9%
을 9
 
1.9%
Other values (122) 283
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 355
75.2%
Space Separator 57
 
12.1%
Other Punctuation 31
 
6.6%
Dash Punctuation 14
 
3.0%
Decimal Number 12
 
2.5%
Close Punctuation 1
 
0.2%
Math Symbol 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 18
 
5.1%
원 16
 
4.5%
한 15
 
4.2%
공 12
 
3.4%
기 9
 
2.5%
산 9
 
2.5%
을 9
 
2.5%
사 9
 
2.5%
진 9
 
2.5%
고 8
 
2.3%
Other values (110) 241
67.9%
Decimal Number
ValueCountFrequency (%)
1 4
33.3%
2 3
25.0%
0 3
25.0%
9 1
 
8.3%
5 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 30
96.8%
. 1
 
3.2%
Space Separator
ValueCountFrequency (%)
57
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 355
75.2%
Common 117
 
24.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 18
 
5.1%
원 16
 
4.5%
한 15
 
4.2%
공 12
 
3.4%
기 9
 
2.5%
산 9
 
2.5%
을 9
 
2.5%
사 9
 
2.5%
진 9
 
2.5%
고 8
 
2.3%
Other values (110) 241
67.9%
Common
ValueCountFrequency (%)
57
48.7%
, 30
25.6%
- 14
 
12.0%
1 4
 
3.4%
2 3
 
2.6%
0 3
 
2.6%
) 1
 
0.9%
~ 1
 
0.9%
9 1
 
0.9%
. 1
 
0.9%
Other values (2) 2
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 355
75.2%
ASCII 117
 
24.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
57
48.7%
, 30
25.6%
- 14
 
12.0%
1 4
 
3.4%
2 3
 
2.6%
0 3
 
2.6%
) 1
 
0.9%
~ 1
 
0.9%
9 1
 
0.9%
. 1
 
0.9%
Other values (2) 2
 
1.7%
Hangul
ValueCountFrequency (%)
지 18
 
5.1%
원 16
 
4.5%
한 15
 
4.2%
공 12
 
3.4%
기 9
 
2.5%
산 9
 
2.5%
을 9
 
2.5%
사 9
 
2.5%
진 9
 
2.5%
고 8
 
2.3%
Other values (110) 241
67.9%

도로명주소
Text

Distinct28
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T09:46:00.686773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length13.470588
Min length1

Characters and Unicode

Total characters458
Distinct characters92
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)73.5%

Sample

1st row전주시 완산구 현무1길 20
2nd row전주시 완산구 현무1길 20
3rd row전주시 완산구 전주객사4길 74-12
4th row전주시 덕진구 기린대로 451
5th row전주시 완산구 소리로 31
ValueCountFrequency (%)
고창군 7
 
6.0%
전주시 7
 
6.0%
5
 
4.3%
완산구 4
 
3.4%
익산시 3
 
2.6%
임실군 3
 
2.6%
덕진구 3
 
2.6%
중앙로 2
 
1.7%
무주군 2
 
1.7%
하나로 2
 
1.7%
Other values (70) 78
67.2%
2024-03-14T09:46:00.995533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
82
 
17.9%
로 21
 
4.6%
2 21
 
4.6%
군 17
 
3.7%
1 15
 
3.3%
- 14
 
3.1%
주 13
 
2.8%
시 12
 
2.6%
3 12
 
2.6%
읍 10
 
2.2%
Other values (82) 241
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 270
59.0%
Decimal Number 92
 
20.1%
Space Separator 82
 
17.9%
Dash Punctuation 14
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 21
 
7.8%
군 17
 
6.3%
주 13
 
4.8%
시 12
 
4.4%
읍 10
 
3.7%
면 10
 
3.7%
창 10
 
3.7%
고 10
 
3.7%
산 10
 
3.7%
전 8
 
3.0%
Other values (70) 149
55.2%
Decimal Number
ValueCountFrequency (%)
2 21
22.8%
1 15
16.3%
3 12
13.0%
6 8
 
8.7%
0 8
 
8.7%
4 7
 
7.6%
7 6
 
6.5%
8 6
 
6.5%
5 5
 
5.4%
9 4
 
4.3%
Space Separator
ValueCountFrequency (%)
82
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 270
59.0%
Common 188
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 21
 
7.8%
군 17
 
6.3%
주 13
 
4.8%
시 12
 
4.4%
읍 10
 
3.7%
면 10
 
3.7%
창 10
 
3.7%
고 10
 
3.7%
산 10
 
3.7%
전 8
 
3.0%
Other values (70) 149
55.2%
Common
ValueCountFrequency (%)
82
43.6%
2 21
 
11.2%
1 15
 
8.0%
- 14
 
7.4%
3 12
 
6.4%
6 8
 
4.3%
0 8
 
4.3%
4 7
 
3.7%
7 6
 
3.2%
8 6
 
3.2%
Other values (2) 9
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 270
59.0%
ASCII 188
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
82
43.6%
2 21
 
11.2%
1 15
 
8.0%
- 14
 
7.4%
3 12
 
6.4%
6 8
 
4.3%
0 8
 
4.3%
4 7
 
3.7%
7 6
 
3.2%
8 6
 
3.2%
Other values (2) 9
 
4.8%
Hangul
ValueCountFrequency (%)
로 21
 
7.8%
군 17
 
6.3%
주 13
 
4.8%
시 12
 
4.4%
읍 10
 
3.7%
면 10
 
3.7%
창 10
 
3.7%
고 10
 
3.7%
산 10
 
3.7%
전 8
 
3.0%
Other values (70) 149
55.2%

지번주소
Text

Distinct32
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T09:46:01.222926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length15.911765
Min length10

Characters and Unicode

Total characters541
Distinct characters85
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)88.2%

Sample

1st row전주시 완산구 경원동3가 14-2
2nd row전주시 완산구 경원동3가 14-2
3rd row전주시 완산구 고사동 181
4th row전주시 덕진구 덕진동1가 1220-1
5th row전주시 덕진구 덕진동1가 산1-1
ValueCountFrequency (%)
전주시 7
 
5.3%
고창군 7
 
5.3%
진안군 5
 
3.8%
덕진구 4
 
3.1%
임실군 3
 
2.3%
완산구 3
 
2.3%
진안읍 3
 
2.3%
익산시 3
 
2.3%
52 2
 
1.5%
정읍시 2
 
1.5%
Other values (84) 92
70.2%
2024-03-14T09:46:01.608894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97
 
17.9%
1 33
 
6.1%
2 23
 
4.3%
리 22
 
4.1%
군 22
 
4.1%
- 20
 
3.7%
산 16
 
3.0%
진 16
 
3.0%
5 15
 
2.8%
동 14
 
2.6%
Other values (75) 263
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 300
55.5%
Decimal Number 124
22.9%
Space Separator 97
 
17.9%
Dash Punctuation 20
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 22
 
7.3%
군 22
 
7.3%
산 16
 
5.3%
진 16
 
5.3%
동 14
 
4.7%
시 13
 
4.3%
면 13
 
4.3%
주 13
 
4.3%
안 11
 
3.7%
읍 11
 
3.7%
Other values (63) 149
49.7%
Decimal Number
ValueCountFrequency (%)
1 33
26.6%
2 23
18.5%
5 15
12.1%
8 10
 
8.1%
4 8
 
6.5%
3 8
 
6.5%
6 7
 
5.6%
9 7
 
5.6%
0 7
 
5.6%
7 6
 
4.8%
Space Separator
ValueCountFrequency (%)
97
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 300
55.5%
Common 241
44.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 22
 
7.3%
군 22
 
7.3%
산 16
 
5.3%
진 16
 
5.3%
동 14
 
4.7%
시 13
 
4.3%
면 13
 
4.3%
주 13
 
4.3%
안 11
 
3.7%
읍 11
 
3.7%
Other values (63) 149
49.7%
Common
ValueCountFrequency (%)
97
40.2%
1 33
 
13.7%
2 23
 
9.5%
- 20
 
8.3%
5 15
 
6.2%
8 10
 
4.1%
4 8
 
3.3%
3 8
 
3.3%
6 7
 
2.9%
9 7
 
2.9%
Other values (2) 13
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 300
55.5%
ASCII 241
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
97
40.2%
1 33
 
13.7%
2 23
 
9.5%
- 20
 
8.3%
5 15
 
6.2%
8 10
 
4.1%
4 8
 
3.3%
3 8
 
3.3%
6 7
 
2.9%
9 7
 
2.9%
Other values (2) 13
 
5.4%
Hangul
ValueCountFrequency (%)
리 22
 
7.3%
군 22
 
7.3%
산 16
 
5.3%
진 16
 
5.3%
동 14
 
4.7%
시 13
 
4.3%
면 13
 
4.3%
주 13
 
4.3%
안 11
 
3.7%
읍 11
 
3.7%
Other values (63) 149
49.7%

경도
Real number (ℝ)

Distinct32
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.95544
Minimum126.43317
Maximum127.39451
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-03-14T09:46:01.728990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.43317
5-th percentile126.5059
Q1126.59085
median127.1224
Q3127.22278
95-th percentile127.36099
Maximum127.39451
Range0.96133868
Interquartile range (IQR)0.63193201

Descriptive statistics

Standard deviation0.32079208
Coefficient of variation (CV)0.0025268085
Kurtosis-1.5566508
Mean126.95544
Median Absolute Deviation (MAD)0.2044311
Skewness-0.3526394
Sum4316.4848
Variance0.10290756
MonotonicityNot monotonic
2024-03-14T09:46:01.847472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
127.1482821 2
 
5.9%
126.59084894 2
 
5.9%
126.578229 1
 
2.9%
127.16286356 1
 
2.9%
127.09156759 1
 
2.9%
127.19576404 1
 
2.9%
127.0635222 1
 
2.9%
126.706895 1
 
2.9%
126.542805 1
 
2.9%
126.610025 1
 
2.9%
Other values (22) 22
64.7%
ValueCountFrequency (%)
126.4331716 1
2.9%
126.49555 1
2.9%
126.51147743 1
2.9%
126.515072 1
2.9%
126.542805 1
2.9%
126.557443 1
2.9%
126.56285998 1
2.9%
126.578229 1
2.9%
126.59084894 2
5.9%
126.610025 1
2.9%
ValueCountFrequency (%)
127.39451028 1
2.9%
127.39413655 1
2.9%
127.34314453 1
2.9%
127.31051966 1
2.9%
127.25287842 1
2.9%
127.24522856 1
2.9%
127.23491728 1
2.9%
127.2326591 1
2.9%
127.23178658 1
2.9%
127.19576404 1
2.9%

위도
Real number (ℝ)

Distinct32
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.584122
Minimum35.220717
Maximum36.000943
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-03-14T09:46:01.999804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.220717
5-th percentile35.323239
Q135.43341
median35.532855
Q335.820676
95-th percentile35.982819
Maximum36.000943
Range0.78022625
Interquartile range (IQR)0.38726686

Descriptive statistics

Standard deviation0.21278473
Coefficient of variation (CV)0.0059797661
Kurtosis-0.73161804
Mean35.584122
Median Absolute Deviation (MAD)0.1219115
Skewness0.58799358
Sum1209.8601
Variance0.045277339
MonotonicityNot monotonic
2024-03-14T09:46:02.132461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
35.8206764 2
 
5.9%
35.565831373 2
 
5.9%
35.496933 1
 
2.9%
35.40205228 1
 
2.9%
35.321317998 1
 
2.9%
35.324273253 1
 
2.9%
35.22071713 1
 
2.9%
35.435385 1
 
2.9%
35.376298 1
 
2.9%
35.535535 1
 
2.9%
Other values (22) 22
64.7%
ValueCountFrequency (%)
35.22071713 1
2.9%
35.321317998 1
2.9%
35.324273253 1
2.9%
35.376298 1
2.9%
35.382800956 1
2.9%
35.40205228 1
2.9%
35.403661 1
2.9%
35.418227 1
2.9%
35.432751049 1
2.9%
35.435385 1
2.9%
ValueCountFrequency (%)
36.00094338 1
2.9%
36.000849871 1
2.9%
35.9731102 1
2.9%
35.8490089 1
2.9%
35.8389558 1
2.9%
35.8382201 1
2.9%
35.8239265 1
2.9%
35.8208219 1
2.9%
35.8206764 2
5.9%
35.590195504 1
2.9%

데이터기준
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
2015-09-30
34 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015-09-30
2nd row2015-09-30
3rd row2015-09-30
4th row2015-09-30
5th row2015-09-30

Common Values

ValueCountFrequency (%)
2015-09-30 34
100.0%

Length

2024-03-14T09:46:02.252282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:46:02.330227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015-09-30 34
100.0%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
문화예술과
34 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row문화예술과
2nd row문화예술과
3rd row문화예술과
4th row문화예술과
5th row문화예술과

Common Values

ValueCountFrequency (%)
문화예술과 34
100.0%

Length

2024-03-14T09:46:02.406687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:46:02.481121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화예술과 34
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
공개
34 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공개
2nd row공개
3rd row공개
4th row공개
5th row공개

Common Values

ValueCountFrequency (%)
공개 34
100.0%

Length

2024-03-14T09:46:02.562930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:46:02.634265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 34
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
2015.1
34 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015.1
2nd row2015.1
3rd row2015.1
4th row2015.1
5th row2015.1

Common Values

ValueCountFrequency (%)
2015.1 34
100.0%

Length

2024-03-14T09:46:02.715414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:46:02.792629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015.1 34
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
1년
34 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1년
2nd row1년
3rd row1년
4th row1년
5th row1년

Common Values

ValueCountFrequency (%)
1년 34
100.0%

Length

2024-03-14T09:46:02.869810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:46:02.940600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 34
100.0%

Sample

순번시군명축제명개최장소축제시작일축제종료일축제내용주관기관주최기관후원기관전화번호홈페이지관련정보도로명주소지번주소경도위도데이터기준자료출처공개여부작성일갱신주기
01전주시전주한지문화축제한국전통문화전당 일원2015-05-022015-05-05-전주시, 전주한지문화축제조직위원회전라북도 전주시, 전주한지문화축제조직위원회-063-271-2503http://www.jhanji.or.kr한지산업지원센터, 한옥마을, 객사, 덕진공원전주시 완산구 현무1길 20전주시 완산구 경원동3가 14-2127.14828235.8206762015-09-30문화예술과공개2015.11년
12전주시전주비빔밥축제한국전통문화전당2015-10-222015-10-25-비빔밥축제조직위원회전라북도 전주시문화체육관광부063-277-2515http://www.bibimbapfest.com/한지산업지원센터, 한옥마을, 객사, 덕진공원전주시 완산구 현무1길 20전주시 완산구 경원동3가 14-2127.14828235.8206762015-09-30문화예술과공개2015.11년
23전주시전주국제영화제영화의거리(메가박스) 외 4개소2015-04-302015-05-09-전주국제영화제집행위원회전주국제영화제집행위원회문화체육관광부, 전라북도, 전주시, 영화진흥위원회063-280-7914-한지산업지원센터, 한옥마을, 객사, 덕진공원전주시 완산구 전주객사4길 74-12전주시 완산구 고사동 181127.14364735.8208222015-09-30문화예술과공개2015.11년
34전주시전주단오축제덕진공원2015-06-202015-06-21-풍남문화법인전라북도 전주시전라북도063-277-2515http://www.pncc.or.kr한지산업지원센터, 한옥마을, 객사, 덕진공원전주시 덕진구 기린대로 451전주시 덕진구 덕진동1가 1220-1127.12516235.838222015-09-30문화예술과공개2015.11년
45전주시전주세계소리축제전주소리문화전당2015-10-072015-10-11-전주세계소리축제조직위원회전라북도문화체육관광부063-232-8398http://www.sorifestival.com한지산업지원센터, 한옥마을, 객사, 덕진공원전주시 완산구 소리로 31전주시 덕진구 덕진동1가 산1-1127.13156935.8239262015-09-30문화예술과공개2015.11년
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67전주시전주국제발효식품엑스포전주월드컵경기장2015-10-222015-10-26-전주국제발효식품엑스포조직위원회전라북도, 전라북도 전주시농림축산식품부, 산업통상자원부, 식품의약품안전처, 국립농산물품질관리원, 한국식품연구원, 전라북도생물산업진흥원063-272-6998http://www.iffe.or.kr/한지박물관, 덕진공원, 동물원전주시 덕진구 기린대로 418전주시 덕진구 금암1동 710-5127.13091235.8389562015-09-30문화예술과공개2015.11년
78익산시2015서동축제중앙체육공원2015-10-302015-11-08-(재)문화재단(재)문화재단익산시063-859-5874seodong.iksan.go.Kr서동축제 기간에 국화축제와 병행하여 축제실시 세계유산으로등재된 백제유적지구인 미륵사지, 왕궁리유적지익산시 하나로 322익산시 어양동 52126.59084935.5658312015-09-30문화예술과공개2015.11년
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910익산시익산평생학습축제배산체육공원2015-10-232015-10-24-익산시한국공연문화예술연구소익산시063-859-5155-평생학습을 진흥하기 위해 평생학습에 대한 시민의 이해를 돕고스스로 학습하고자 하는 의욕을 고취익산시 동서로 21익산시 모현동2가 186-1126.5628635.574192015-09-30문화예술과공개2015.11년
순번시군명축제명개최장소축제시작일축제종료일축제내용주관기관주최기관후원기관전화번호홈페이지관련정보도로명주소지번주소경도위도데이터기준자료출처공개여부작성일갱신주기
2426순창군장류축제전통고추장민속마을2015-10-292015-11-01-장류축제추진위원회장류축제추진위원회순창군063-650-1624www.jangfestival.co.kr강천산군립공원전통고추장민속마을순창군 순창읍 민속마을길 6-3순창군 순창읍 백산리 265-64127.06352235.2207172015-09-30문화예술과공개2015.11년
2527고창군고창모양성제모양성일원2015-10-202015-10-25-(사)모양성보존회(사)모양성보존회고창군, 한빛원자력, 국방부063-560-2457http://moyangfestival.gochang.go.kr고창군민의날, 기념식고창군 고창읍 중앙로 292고창군 고창읍 교촌리 55-2126.70689535.4353852015-09-30문화예술과공개2015.11년
2628고창군고창청보리밭축제고창군 공음면 학원농장 일원2015-04-182015-05-10-고창청보리밭축제위윈회고창청보리밭축제위윈회고창군063-562-9897http://chungbori.gochang.go.kr기념식, 공연, 판매부스 등고창군 공음면 학원농장길 158-6고창군 공음면 선동리 산119-1126.54280535.3762982015-09-30문화예술과공개2015.11년
2729고창군선운문화제선운산도립공원2015-09-192015-09-20-선운사선운사고창군063-561-1422www.seonunsa.org선운사도립공원, 고창고인돌유적지고창군 아산면 선운사로 250고창군 아산면 삼인리 500126.57822935.4969332015-09-30문화예술과공개2015.11년
2830고창군미당문학제미당시문학관2015-10-312015-11-03-2015 미당문학제 추진위원회2015 미당문학제 추진위원회고창군063-560-8058-기념식, 공연, 농산물판매부스, 미당기념관고창군 부안면 질마재로 2-8고창군 부안면 선운리 231126.61002535.5355352015-09-30문화예술과공개2015.11년
2931고창군동학농민혁명 무장기포기념제와 무장읍성동학농민혁명 무장기포지 및 무장2015-04-252015-04-25-동학농민혁명무장기포기념제와무장읍성축제위원회동학농민혁명무장기포기념제와무장읍성축제위원회고창군, 한빛원자력본부, 한수원㈜063-560-2461http://donghak.gochang.go.kr동학농민혁명무장기포기념제, 무장읍성축제 등고창군 공음면 선운대로 308고창군 공음면 구암리 589-2126.4955535.4036612015-09-30문화예술과공개2015.11년
3032고창군동학농민혁명 무장기포기념제와 무장읍성동학농민혁명 무장기포지 및 무장2015-04-252015-04-25----063-560-2461http://donghak.gochang.go.kr동학진격로 걷기 등고창군 무장면 무장읍성길 45고창군 무장면 성내리 156126.55744335.4182272015-09-30문화예술과공개2015.11년
3133고창군고창갯벌축제심원면 만돌갯벌체험장2015-05-232015-05-25-고창갯벌축제위원회고창갯벌축제위원회해양수산부, 전라북도, 고창군, 고창수산업협동조합, 한빛원전063-561-2132http://mud-exp.gochang.go.kr동호해수욕장고창군 심원면 애향갯벌로 320고창군 심원면 만돌리 960-27126.51507235.5301762015-09-30문화예술과공개2015.11년
3234부안군부안마실축제부안읍 일원2015-05-012015-05-03-부안 마실축제제전위원회부안 마실축제제전위원회----부안군 부안읍 예술회관길 11부안군 부안읍 서외리 455-51126.43317235.4327512015-09-30문화예술과공개2015.11년
3335완주군완주와일드푸드축제고산자연휴양림일원2015-10-022015-10-04-와일드푸드축제추진위원회완주군문화체육관광부, 전라북도063-290-2623http://wildfoodfestival.kr홈페이지 참고완주군 고산면 고산휴양림로 89완주군 고산면 오산리 808127.23265935.973112015-09-30문화예술과공개2015.11년