Overview

Dataset statistics

Number of variables16
Number of observations33
Missing cells11
Missing cells (%)2.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory134.0 B

Variable types

Text10
DateTime3
Categorical1
Numeric2

Dataset

Description전라북도_문화축제_20170829
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=202502

Alerts

데이터기준일자 has constant value ""Constant
축제내용 has 8 (24.2%) missing valuesMissing
관련정보 has 1 (3.0%) missing valuesMissing
데이터기준일자 has 2 (6.1%) missing valuesMissing

Reproduction

Analysis started2024-03-13 23:45:00.715048
Analysis finished2024-03-13 23:45:02.374705
Duration1.66 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

축제명
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-03-14T08:45:02.516993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length8.6363636
Min length4

Characters and Unicode

Total characters285
Distinct characters109
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)93.9%

Sample

1st row전주한지문화축제
2nd row전주비빔밥축제
3rd row전주국제영화제
4th row전주단오축제
5th row전주세계소리축제
ValueCountFrequency (%)
동학농민혁명 2
 
4.2%
진안 2
 
4.2%
무장기포기념제와 2
 
4.2%
무장읍성 2
 
4.2%
전주비빔밥축제 1
 
2.1%
부안마실축제 1
 
2.1%
수박축제 1
 
2.1%
반딧불축제 1
 
2.1%
무주산골영화제 1
 
2.1%
장수 1
 
2.1%
Other values (34) 34
70.8%
2024-03-14T08:45:02.913974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 34
 
11.9%
축 21
 
7.4%
15
 
5.3%
주 9
 
3.2%
화 8
 
2.8%
전 8
 
2.8%
장 8
 
2.8%
문 6
 
2.1%
학 5
 
1.8%
무 5
 
1.8%
Other values (99) 166
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 268
94.0%
Space Separator 15
 
5.3%
Dash Punctuation 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 34
 
12.7%
축 21
 
7.8%
주 9
 
3.4%
화 8
 
3.0%
전 8
 
3.0%
장 8
 
3.0%
문 6
 
2.2%
학 5
 
1.9%
무 5
 
1.9%
기 5
 
1.9%
Other values (97) 159
59.3%
Space Separator
ValueCountFrequency (%)
15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 268
94.0%
Common 17
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 34
 
12.7%
축 21
 
7.8%
주 9
 
3.4%
화 8
 
3.0%
전 8
 
3.0%
장 8
 
3.0%
문 6
 
2.2%
학 5
 
1.9%
무 5
 
1.9%
기 5
 
1.9%
Other values (97) 159
59.3%
Common
ValueCountFrequency (%)
15
88.2%
- 2
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 268
94.0%
ASCII 17
 
6.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 34
 
12.7%
축 21
 
7.8%
주 9
 
3.4%
화 8
 
3.0%
전 8
 
3.0%
장 8
 
3.0%
문 6
 
2.2%
학 5
 
1.9%
무 5
 
1.9%
기 5
 
1.9%
Other values (97) 159
59.3%
ASCII
ValueCountFrequency (%)
15
88.2%
- 2
 
11.8%

개최장소
Text

Distinct31
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-03-14T08:45:03.130849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length8.8787879
Min length4

Characters and Unicode

Total characters293
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

Unique29 ?
Unique (%)87.9%

Sample

1st row한국전통문화전당 일원
2nd row한국전통문화전당
3rd row영화의거리(메가박스) 외 4개소
4th row덕진공원
5th row한국소리문화의전당
ValueCountFrequency (%)
일원 6
 
10.3%
동학농민혁명 2
 
3.4%
중앙체육공원 2
 
3.4%
무장기포지 2
 
3.4%
한국전통문화전당 2
 
3.4%
무장 2
 
3.4%
및 2
 
3.4%
예체문화관 1
 
1.7%
전통고추장민속마을 1
 
1.7%
무주군일원 1
 
1.7%
Other values (37) 37
63.8%
2024-03-14T08:45:03.517566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25
 
8.5%
원 21
 
7.2%
전 11
 
3.8%
장 11
 
3.8%
일 10
 
3.4%
공 9
 
3.1%
문 8
 
2.7%
화 8
 
2.7%
체 6
 
2.0%
무 5
 
1.7%
Other values (103) 179
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 264
90.1%
Space Separator 25
 
8.5%
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 21
 
8.0%
전 11
 
4.2%
장 11
 
4.2%
일 10
 
3.8%
공 9
 
3.4%
문 8
 
3.0%
화 8
 
3.0%
체 6
 
2.3%
무 5
 
1.9%
당 5
 
1.9%
Other values (98) 170
64.4%
Space Separator
ValueCountFrequency (%)
25
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 264
90.1%
Common 29
 
9.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 21
 
8.0%
전 11
 
4.2%
장 11
 
4.2%
일 10
 
3.8%
공 9
 
3.4%
문 8
 
3.0%
화 8
 
3.0%
체 6
 
2.3%
무 5
 
1.9%
당 5
 
1.9%
Other values (98) 170
64.4%
Common
ValueCountFrequency (%)
25
86.2%
, 1
 
3.4%
4 1
 
3.4%
) 1
 
3.4%
( 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 264
90.1%
ASCII 29
 
9.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25
86.2%
, 1
 
3.4%
4 1
 
3.4%
) 1
 
3.4%
( 1
 
3.4%
Hangul
ValueCountFrequency (%)
원 21
 
8.0%
전 11
 
4.2%
장 11
 
4.2%
일 10
 
3.8%
공 9
 
3.4%
문 8
 
3.0%
화 8
 
3.0%
체 6
 
2.3%
무 5
 
1.9%
당 5
 
1.9%
Other values (98) 170
64.4%

축제시작일자
Date

Distinct25
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2016-09-24 00:00:00
Maximum2018-08-11 00:00:00
2024-03-14T08:45:03.629887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:45:03.720813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

축제종료일자
Date

Distinct24
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2016-09-24 00:00:00
Maximum2018-08-14 00:00:00
2024-03-14T08:45:03.810381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:45:03.898656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

축제내용
Text

MISSING 

Distinct23
Distinct (%)92.0%
Missing8
Missing (%)24.2%
Memory size396.0 B
2024-03-14T08:45:04.132915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length41
Mean length29.32
Min length1

Characters and Unicode

Total characters733
Distinct characters209
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)88.0%

Sample

1st row-
2nd row우리동네 맛자랑 비빔 퍼포먼스 이색 런치 맛있는 정원, 고메쇼, 체험및 공연 등
3rd row-
4th row음악 축제
5th row국악 경연
ValueCountFrequency (%)
등 18
 
10.8%
체험 8
 
4.8%
테마로 4
 
2.4%
한 4
 
2.4%
퍼레이드 3
 
1.8%
공연 3
 
1.8%
프로그램 3
 
1.8%
3
 
1.8%
및 3
 
1.8%
선발 2
 
1.2%
Other values (111) 115
69.3%
2024-03-14T08:45:04.630715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
139
 
19.0%
, 43
 
5.9%
험 22
 
3.0%
체 22
 
3.0%
등 20
 
2.7%
기 14
 
1.9%
이 13
 
1.8%
로 12
 
1.6%
11
 
1.5%
전 10
 
1.4%
Other values (199) 427
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 526
71.8%
Space Separator 139
 
19.0%
Other Punctuation 45
 
6.1%
Control 11
 
1.5%
Decimal Number 4
 
0.5%
Dash Punctuation 3
 
0.4%
Lowercase Letter 2
 
0.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
험 22
 
4.2%
체 22
 
4.2%
등 20
 
3.8%
기 14
 
2.7%
이 13
 
2.5%
로 12
 
2.3%
전 10
 
1.9%
마 10
 
1.9%
회 8
 
1.5%
연 8
 
1.5%
Other values (185) 387
73.6%
Decimal Number
ValueCountFrequency (%)
0 1
25.0%
1 1
25.0%
2 1
25.0%
5 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 43
95.6%
& 2
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
d 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
139
100.0%
Control
ValueCountFrequency (%)
11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
R 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 526
71.8%
Common 204
 
27.8%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
험 22
 
4.2%
체 22
 
4.2%
등 20
 
3.8%
기 14
 
2.7%
이 13
 
2.5%
로 12
 
2.3%
전 10
 
1.9%
마 10
 
1.9%
회 8
 
1.5%
연 8
 
1.5%
Other values (185) 387
73.6%
Common
ValueCountFrequency (%)
139
68.1%
, 43
 
21.1%
11
 
5.4%
- 3
 
1.5%
& 2
 
1.0%
0 1
 
0.5%
1 1
 
0.5%
2 1
 
0.5%
5 1
 
0.5%
( 1
 
0.5%
Latin
ValueCountFrequency (%)
d 1
33.3%
e 1
33.3%
R 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 526
71.8%
ASCII 207
 
28.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
139
67.1%
, 43
 
20.8%
11
 
5.3%
- 3
 
1.4%
& 2
 
1.0%
0 1
 
0.5%
1 1
 
0.5%
2 1
 
0.5%
5 1
 
0.5%
( 1
 
0.5%
Other values (4) 4
 
1.9%
Hangul
ValueCountFrequency (%)
험 22
 
4.2%
체 22
 
4.2%
등 20
 
3.8%
기 14
 
2.7%
이 13
 
2.5%
로 12
 
2.3%
전 10
 
1.9%
마 10
 
1.9%
회 8
 
1.5%
연 8
 
1.5%
Other values (185) 387
73.6%

주관기관
Text

Distinct30
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-03-14T08:45:04.823985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length10.69697
Min length1

Characters and Unicode

Total characters353
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

Unique28 ?
Unique (%)84.8%

Sample

1st row전주시, 전주한지문화축제조직위원회
2nd row비빔밥축제조직위원회
3rd row전주국제영화제집행위원회
4th row풍남문화법인
5th row전주세계소리축제조직위원회
ValueCountFrequency (%)
임실군 3
 
7.7%
조직위원회 2
 
5.1%
익산시 2
 
5.1%
전주시 1
 
2.6%
사)무주반딧불축제제전위원회 1
 
2.6%
마실축제제전위원회 1
 
2.6%
부안 1
 
2.6%
고창갯벌축제위원회 1
 
2.6%
1
 
2.6%
장류축제추진위원회 1
 
2.6%
Other values (25) 25
64.1%
2024-03-14T08:45:05.126279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 28
 
7.9%
회 25
 
7.1%
위 22
 
6.2%
원 22
 
6.2%
축 16
 
4.5%
사 10
 
2.8%
전 10
 
2.8%
직 8
 
2.3%
조 8
 
2.3%
주 8
 
2.3%
Other values (107) 196
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 330
93.5%
Close Punctuation 6
 
1.7%
Space Separator 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 28
 
8.5%
회 25
 
7.6%
위 22
 
6.7%
원 22
 
6.7%
축 16
 
4.8%
사 10
 
3.0%
전 10
 
3.0%
직 8
 
2.4%
조 8
 
2.4%
주 8
 
2.4%
Other values (97) 173
52.4%
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%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 330
93.5%
Common 23
 
6.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 28
 
8.5%
회 25
 
7.6%
위 22
 
6.7%
원 22
 
6.7%
축 16
 
4.8%
사 10
 
3.0%
전 10
 
3.0%
직 8
 
2.4%
조 8
 
2.4%
주 8
 
2.4%
Other values (97) 173
52.4%
Common
ValueCountFrequency (%)
) 6
26.1%
6
26.1%
( 4
17.4%
2 1
 
4.3%
0 1
 
4.3%
1 1
 
4.3%
5 1
 
4.3%
- 1
 
4.3%
, 1
 
4.3%
/ 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 330
93.5%
ASCII 23
 
6.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 28
 
8.5%
회 25
 
7.6%
위 22
 
6.7%
원 22
 
6.7%
축 16
 
4.8%
사 10
 
3.0%
전 10
 
3.0%
직 8
 
2.4%
조 8
 
2.4%
주 8
 
2.4%
Other values (97) 173
52.4%
ASCII
ValueCountFrequency (%)
) 6
26.1%
6
26.1%
( 4
17.4%
2 1
 
4.3%
0 1
 
4.3%
1 1
 
4.3%
5 1
 
4.3%
- 1
 
4.3%
, 1
 
4.3%
/ 1
 
4.3%

주최기관
Text

Distinct30
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-03-14T08:45:05.321238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length14
Mean length8.2121212
Min length1

Characters and Unicode

Total characters271
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

Unique27 ?
Unique (%)81.8%

Sample

1st row전라북도 전주시, 전주한지문화축제조직위원회
2nd row전라북도 전주시
3rd row전주국제영화제집행위원회
4th row전라북도 전주시
5th row전라북도
ValueCountFrequency (%)
전라북도 6
 
14.0%
전주시 5
 
11.6%
진안군 2
 
4.7%
정읍시 2
 
4.7%
전주한지문화축제조직위원회 1
 
2.3%
소충사선문화제전위원회 1
 
2.3%
마실축제제전위원회 1
 
2.3%
부안 1
 
2.3%
사)모양성보존회 1
 
2.3%
1
 
2.3%
Other values (22) 22
51.2%
2024-03-14T08:45:05.666109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 16
 
5.9%
제 15
 
5.5%
회 14
 
5.2%
원 11
 
4.1%
위 11
 
4.1%
10
 
3.7%
주 10
 
3.7%
시 8
 
3.0%
화 7
 
2.6%
축 7
 
2.6%
Other values (87) 162
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 250
92.3%
Space Separator 10
 
3.7%
Decimal Number 4
 
1.5%
Close Punctuation 2
 
0.7%
Other Punctuation 2
 
0.7%
Open Punctuation 2
 
0.7%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 16
 
6.4%
제 15
 
6.0%
회 14
 
5.6%
원 11
 
4.4%
위 11
 
4.4%
주 10
 
4.0%
시 8
 
3.2%
화 7
 
2.8%
축 7
 
2.8%
문 6
 
2.4%
Other values (78) 145
58.0%
Decimal Number
ValueCountFrequency (%)
5 1
25.0%
1 1
25.0%
0 1
25.0%
2 1
25.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 250
92.3%
Common 21
 
7.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 16
 
6.4%
제 15
 
6.0%
회 14
 
5.6%
원 11
 
4.4%
위 11
 
4.4%
주 10
 
4.0%
시 8
 
3.2%
화 7
 
2.8%
축 7
 
2.8%
문 6
 
2.4%
Other values (78) 145
58.0%
Common
ValueCountFrequency (%)
10
47.6%
) 2
 
9.5%
, 2
 
9.5%
( 2
 
9.5%
5 1
 
4.8%
1 1
 
4.8%
0 1
 
4.8%
- 1
 
4.8%
2 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 250
92.3%
ASCII 21
 
7.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 16
 
6.4%
제 15
 
6.0%
회 14
 
5.6%
원 11
 
4.4%
위 11
 
4.4%
주 10
 
4.0%
시 8
 
3.2%
화 7
 
2.8%
축 7
 
2.8%
문 6
 
2.4%
Other values (78) 145
58.0%
ASCII
ValueCountFrequency (%)
10
47.6%
) 2
 
9.5%
, 2
 
9.5%
( 2
 
9.5%
5 1
 
4.8%
1 1
 
4.8%
0 1
 
4.8%
- 1
 
4.8%
2 1
 
4.8%

후원기관
Categorical

Distinct15
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size396.0 B
-
12 
익산시
3 
고창군
3 
문화체육관광부
2 
전라북도
2 
Other values (10)
11 

Length

Max length60
Median length33
Mean length7.7272727
Min length1

Unique

Unique9 ?
Unique (%)27.3%

Sample

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

Common Values

ValueCountFrequency (%)
- 12
36.4%
익산시 3
 
9.1%
고창군 3
 
9.1%
문화체육관광부 2
 
6.1%
전라북도 2
 
6.1%
진안군 2
 
6.1%
문화체육관광부, 전라북도, 전주시, 영화진흥위원회 1
 
3.0%
문화관광체육부, 전라북도 1
 
3.0%
농림축산식품부, 산업통상자원부, 식품의약품안전처, 국립농산물품질관리원, 한국식품연구원, 전라북도생물산업진흥원 1
 
3.0%
문화체육관광부 외 74개단체 1
 
3.0%
Other values (5) 5
15.2%

Length

2024-03-14T08:45:05.787336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
12
22.6%
고창군 6
 
11.3%
전라북도 6
 
11.3%
문화체육관광부 5
 
9.4%
익산시 3
 
5.7%
진안군 2
 
3.8%
외 1
 
1.9%
고창수산업협동조합 1
 
1.9%
해양수산부 1
 
1.9%
한수원㈜ 1
 
1.9%
Other values (15) 15
28.3%

전화번호
Text

Distinct30
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-03-14T08:45:05.942230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.333333
Min length1

Characters and Unicode

Total characters374
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

Unique27 ?
Unique (%)81.8%

Sample

1st row063-271-2503
2nd row063-277-2515
3rd row063-280-7914
4th row063-277-2515
5th row063-232-8398
ValueCountFrequency (%)
063-277-2515 2
 
6.1%
063-560-2461 2
 
6.1%
2
 
6.1%
063-430-8247 1
 
3.0%
063-271-2503 1
 
3.0%
063-561-2132 1
 
3.0%
063-560-8058 1
 
3.0%
063-561-1422 1
 
3.0%
063-562-9897 1
 
3.0%
063-560-2457 1
 
3.0%
Other values (20) 20
60.6%
2024-03-14T08:45:06.221423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 64
17.1%
0 53
14.2%
3 53
14.2%
6 49
13.1%
2 37
9.9%
5 29
7.8%
8 23
 
6.1%
4 21
 
5.6%
1 16
 
4.3%
9 15
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 310
82.9%
Dash Punctuation 64
 
17.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 53
17.1%
3 53
17.1%
6 49
15.8%
2 37
11.9%
5 29
9.4%
8 23
7.4%
4 21
 
6.8%
1 16
 
5.2%
9 15
 
4.8%
7 14
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 374
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 64
17.1%
0 53
14.2%
3 53
14.2%
6 49
13.1%
2 37
9.9%
5 29
7.8%
8 23
 
6.1%
4 21
 
5.6%
1 16
 
4.3%
9 15
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 374
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 64
17.1%
0 53
14.2%
3 53
14.2%
6 49
13.1%
2 37
9.9%
5 29
7.8%
8 23
 
6.1%
4 21
 
5.6%
1 16
 
4.3%
9 15
 
4.0%

홈페이지주소
Text

Distinct24
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-03-14T08:45:06.396042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28
Mean length18.424242
Min length1

Characters and Unicode

Total characters608
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 (%)63.6%

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
24.2%
http://donghak.gochang.go.kr 2
 
6.1%
http://tour.jinan.go.kr 2
 
6.1%
http://www.mjff.or.kr 1
 
3.0%
http://www.jhanji.or.kr 1
 
3.0%
http://www.firefly.or.kr 1
 
3.0%
http://mud-exp.gochang.go.kr 1
 
3.0%
www.seonunsa.org 1
 
3.0%
http://chungbori.gochang.go.kr 1
 
3.0%
http://moyangfestival.gochang.go.kr 1
 
3.0%
Other values (14) 14
42.4%
2024-03-14T08:45:06.816083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 67
 
11.0%
t 47
 
7.7%
w 44
 
7.2%
/ 42
 
6.9%
o 42
 
6.9%
r 32
 
5.3%
g 31
 
5.1%
h 29
 
4.8%
n 26
 
4.3%
a 26
 
4.3%
Other values (19) 222
36.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 469
77.1%
Other Punctuation 128
 
21.1%
Dash Punctuation 10
 
1.6%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 47
 
10.0%
w 44
 
9.4%
o 42
 
9.0%
r 32
 
6.8%
g 31
 
6.6%
h 29
 
6.2%
n 26
 
5.5%
a 26
 
5.5%
k 25
 
5.3%
p 24
 
5.1%
Other values (14) 143
30.5%
Other Punctuation
ValueCountFrequency (%)
. 67
52.3%
/ 42
32.8%
: 19
 
14.8%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 470
77.3%
Common 138
 
22.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 47
 
10.0%
w 44
 
9.4%
o 42
 
8.9%
r 32
 
6.8%
g 31
 
6.6%
h 29
 
6.2%
n 26
 
5.5%
a 26
 
5.5%
k 25
 
5.3%
p 24
 
5.1%
Other values (15) 144
30.6%
Common
ValueCountFrequency (%)
. 67
48.6%
/ 42
30.4%
: 19
 
13.8%
- 10
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 608
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 67
 
11.0%
t 47
 
7.7%
w 44
 
7.2%
/ 42
 
6.9%
o 42
 
6.9%
r 32
 
5.3%
g 31
 
5.1%
h 29
 
4.8%
n 26
 
4.3%
a 26
 
4.3%
Other values (19) 222
36.5%

관련정보
Text

MISSING 

Distinct19
Distinct (%)59.4%
Missing1
Missing (%)3.0%
Memory size396.0 B
2024-03-14T08:45:06.997658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length27
Mean length14.25
Min length1

Characters and Unicode

Total characters456
Distinct characters145
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

Unique17 ?
Unique (%)53.1%

Sample

1st row한지산업지원센터, 한옥마을, 객사, 덕진공원
2nd row한지산업지원센터, 한옥마을, 객사, 덕진공원
3rd row한지산업지원센터, 한옥마을, 객사, 덕진공원
4th row한지산업지원센터, 한옥마을, 객사, 덕진공원
5th row소리축제 프로그램 정보, 티켓안내 등
ValueCountFrequency (%)
11
 
12.4%
덕진공원 5
 
5.6%
한옥마을 4
 
4.5%
객사 4
 
4.5%
한지산업지원센터 4
 
4.5%
등 4
 
4.5%
기념식 3
 
3.4%
공연 2
 
2.2%
프로그램 1
 
1.1%
소리축제 1
 
1.1%
Other values (50) 50
56.2%
2024-03-14T08:45:07.299272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57
 
12.5%
, 27
 
5.9%
지 14
 
3.1%
- 13
 
2.9%
원 12
 
2.6%
한 11
 
2.4%
공 10
 
2.2%
기 9
 
2.0%
사 8
 
1.8%
고 8
 
1.8%
Other values (135) 287
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 343
75.2%
Space Separator 57
 
12.5%
Other Punctuation 28
 
6.1%
Dash Punctuation 13
 
2.9%
Decimal Number 12
 
2.6%
Close Punctuation 1
 
0.2%
Math Symbol 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 14
 
4.1%
원 12
 
3.5%
한 11
 
3.2%
공 10
 
2.9%
기 9
 
2.6%
사 8
 
2.3%
고 8
 
2.3%
제 8
 
2.3%
진 7
 
2.0%
을 7
 
2.0%
Other values (123) 249
72.6%
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 (%)
, 27
96.4%
. 1
 
3.6%
Space Separator
ValueCountFrequency (%)
57
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
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 343
75.2%
Common 113
 
24.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 14
 
4.1%
원 12
 
3.5%
한 11
 
3.2%
공 10
 
2.9%
기 9
 
2.6%
사 8
 
2.3%
고 8
 
2.3%
제 8
 
2.3%
진 7
 
2.0%
을 7
 
2.0%
Other values (123) 249
72.6%
Common
ValueCountFrequency (%)
57
50.4%
, 27
23.9%
- 13
 
11.5%
1 4
 
3.5%
2 3
 
2.7%
0 3
 
2.7%
) 1
 
0.9%
~ 1
 
0.9%
9 1
 
0.9%
. 1
 
0.9%
Other values (2) 2
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 343
75.2%
ASCII 113
 
24.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
57
50.4%
, 27
23.9%
- 13
 
11.5%
1 4
 
3.5%
2 3
 
2.7%
0 3
 
2.7%
) 1
 
0.9%
~ 1
 
0.9%
9 1
 
0.9%
. 1
 
0.9%
Other values (2) 2
 
1.8%
Hangul
ValueCountFrequency (%)
지 14
 
4.1%
원 12
 
3.5%
한 11
 
3.2%
공 10
 
2.9%
기 9
 
2.6%
사 8
 
2.3%
고 8
 
2.3%
제 8
 
2.3%
진 7
 
2.0%
을 7
 
2.0%
Other values (123) 249
72.6%

소재지도로명주소
Text

Distinct28
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-03-14T08:45:07.528927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length13.848485
Min length1

Characters and Unicode

Total characters457
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 (%)75.8%

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
 
6.1%
전주시 7
 
6.1%
완산구 4
 
3.5%
4
 
3.5%
덕진구 3
 
2.6%
익산시 3
 
2.6%
임실군 3
 
2.6%
322 2
 
1.7%
현무1길 2
 
1.7%
20 2
 
1.7%
Other values (70) 78
67.8%
2024-03-14T08:45:07.914773image/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%
- 13
 
2.8%
주 13
 
2.8%
시 12
 
2.6%
3 12
 
2.6%
읍 10
 
2.2%
Other values (82) 241
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 270
59.1%
Decimal Number 92
 
20.1%
Space Separator 82
 
17.9%
Dash Punctuation 13
 
2.8%

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 (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 270
59.1%
Common 187
40.9%

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
43.9%
2 21
 
11.2%
1 15
 
8.0%
- 13
 
7.0%
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
59.1%
ASCII 187
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
82
43.9%
2 21
 
11.2%
1 15
 
8.0%
- 13
 
7.0%
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%

소재지지번주소
Text

Distinct31
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-03-14T08:45:08.136314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length15.939394
Min length10

Characters and Unicode

Total characters526
Distinct characters84
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

Unique29 ?
Unique (%)87.9%

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
 
5.5%
고창군 7
 
5.5%
덕진구 4
 
3.1%
진안군 4
 
3.1%
익산시 3
 
2.4%
완산구 3
 
2.4%
임실군 3
 
2.4%
공음면 2
 
1.6%
정읍시 2
 
1.6%
덕진동1가 2
 
1.6%
Other values (82) 90
70.9%
2024-03-14T08:45:08.472514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
94
 
17.9%
1 31
 
5.9%
2 23
 
4.4%
군 21
 
4.0%
리 21
 
4.0%
- 20
 
3.8%
산 16
 
3.0%
5 15
 
2.9%
동 14
 
2.7%
진 14
 
2.7%
Other values (74) 257
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 291
55.3%
Decimal Number 121
23.0%
Space Separator 94
 
17.9%
Dash Punctuation 20
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 21
 
7.2%
리 21
 
7.2%
산 16
 
5.5%
동 14
 
4.8%
진 14
 
4.8%
면 13
 
4.5%
시 13
 
4.5%
주 13
 
4.5%
고 10
 
3.4%
창 10
 
3.4%
Other values (62) 146
50.2%
Decimal Number
ValueCountFrequency (%)
1 31
25.6%
2 23
19.0%
5 15
12.4%
8 9
 
7.4%
4 8
 
6.6%
3 8
 
6.6%
0 7
 
5.8%
6 7
 
5.8%
9 7
 
5.8%
7 6
 
5.0%
Space Separator
ValueCountFrequency (%)
94
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 291
55.3%
Common 235
44.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 21
 
7.2%
리 21
 
7.2%
산 16
 
5.5%
동 14
 
4.8%
진 14
 
4.8%
면 13
 
4.5%
시 13
 
4.5%
주 13
 
4.5%
고 10
 
3.4%
창 10
 
3.4%
Other values (62) 146
50.2%
Common
ValueCountFrequency (%)
94
40.0%
1 31
 
13.2%
2 23
 
9.8%
- 20
 
8.5%
5 15
 
6.4%
8 9
 
3.8%
4 8
 
3.4%
3 8
 
3.4%
0 7
 
3.0%
6 7
 
3.0%
Other values (2) 13
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 291
55.3%
ASCII 235
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
94
40.0%
1 31
 
13.2%
2 23
 
9.8%
- 20
 
8.5%
5 15
 
6.4%
8 9
 
3.8%
4 8
 
3.4%
3 8
 
3.4%
0 7
 
3.0%
6 7
 
3.0%
Other values (2) 13
 
5.5%
Hangul
ValueCountFrequency (%)
군 21
 
7.2%
리 21
 
7.2%
산 16
 
5.5%
동 14
 
4.8%
진 14
 
4.8%
면 13
 
4.5%
시 13
 
4.5%
주 13
 
4.5%
고 10
 
3.4%
창 10
 
3.4%
Other values (62) 146
50.2%

위도
Real number (ℝ)

Distinct31
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.94665
Minimum126.43317
Maximum127.39451
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-03-14T08:45:08.586975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.43317
5-th percentile126.50511
Q1126.59085
median127.11964
Q3127.19576
95-th percentile127.36354
Maximum127.39451
Range0.9613387
Interquartile range (IQR)0.6049151

Descriptive statistics

Standard deviation0.32158906
Coefficient of variation (CV)0.0025332614
Kurtosis-1.5870557
Mean126.94665
Median Absolute Deviation (MAD)0.2235045
Skewness-0.2987613
Sum4189.2396
Variance0.10341953
MonotonicityNot monotonic
2024-03-14T08:45:08.694778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
127.1482821 2
 
6.1%
126.5908489 2
 
6.1%
127.3105197 1
 
3.0%
127.2326591 1
 
3.0%
126.4331716 1
 
3.0%
126.515072 1
 
3.0%
126.557443 1
 
3.0%
126.49555 1
 
3.0%
126.610025 1
 
3.0%
126.578229 1
 
3.0%
Other values (21) 21
63.6%
ValueCountFrequency (%)
126.4331716 1
3.0%
126.49555 1
3.0%
126.5114774 1
3.0%
126.515072 1
3.0%
126.542805 1
3.0%
126.557443 1
3.0%
126.56286 1
3.0%
126.578229 1
3.0%
126.5908489 2
6.1%
126.610025 1
3.0%
ValueCountFrequency (%)
127.3945103 1
3.0%
127.3941366 1
3.0%
127.3431445 1
3.0%
127.3105197 1
3.0%
127.2528784 1
3.0%
127.2349173 1
3.0%
127.2326591 1
3.0%
127.2317866 1
3.0%
127.195764 1
3.0%
127.1628636 1
3.0%

경도
Real number (ℝ)

Distinct31
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.587834
Minimum35.220717
Maximum36.000943
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-03-14T08:45:08.883193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.220717
5-th percentile35.323091
Q135.432751
median35.535535
Q335.820676
95-th percentile35.984206
Maximum36.000943
Range0.7802263
Interquartile range (IQR)0.3879253

Descriptive statistics

Standard deviation0.214963
Coefficient of variation (CV)0.0060403508
Kurtosis-0.80084014
Mean35.587834
Median Absolute Deviation (MAD)0.131874
Skewness0.54023912
Sum1174.3985
Variance0.046209091
MonotonicityNot monotonic
2024-03-14T08:45:09.048082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
35.8206764 2
 
6.1%
35.5658314 2
 
6.1%
35.382801 1
 
3.0%
35.9731102 1
 
3.0%
35.4327511 1
 
3.0%
35.530176 1
 
3.0%
35.418227 1
 
3.0%
35.403661 1
 
3.0%
35.535535 1
 
3.0%
35.496933 1
 
3.0%
Other values (21) 21
63.6%
ValueCountFrequency (%)
35.2207171 1
3.0%
35.321318 1
3.0%
35.3242733 1
3.0%
35.376298 1
3.0%
35.382801 1
3.0%
35.4020523 1
3.0%
35.403661 1
3.0%
35.418227 1
3.0%
35.4327511 1
3.0%
35.435385 1
3.0%
ValueCountFrequency (%)
36.0009434 1
3.0%
36.0008499 1
3.0%
35.9731102 1
3.0%
35.8490089 1
3.0%
35.8389558 1
3.0%
35.8382201 1
3.0%
35.8239265 1
3.0%
35.8208219 1
3.0%
35.8206764 2
6.1%
35.5901955 1
3.0%

데이터기준일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)3.2%
Missing2
Missing (%)6.1%
Memory size396.0 B
Minimum2017-08-29 00:00:00
Maximum2017-08-29 00:00:00
2024-03-14T08:45:09.390343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:45:09.458584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T08:45:01.757726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:45:01.611413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:45:01.838707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:45:01.676454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T08:45:09.523188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
축제명개최장소축제시작일자축제종료일자축제내용주관기관주최기관후원기관전화번호홈페이지주소관련정보소재지도로명주소소재지지번주소위도경도
축제명1.0001.0001.0001.0001.0000.9720.9720.9291.0001.0000.7900.9650.9750.9611.000
개최장소1.0001.0000.9900.9900.9590.9560.9300.9700.9880.9760.7900.9850.9970.9701.000
축제시작일자1.0000.9901.0000.9850.7950.8710.9070.9100.9900.9590.7610.9040.9300.3700.755
축제종료일자1.0000.9900.9851.0000.6990.3830.9360.1260.9660.7990.0000.8500.9590.0000.774
축제내용1.0000.9590.7950.6991.0000.9590.9360.8640.9770.7950.9400.9050.9771.0001.000
주관기관0.9720.9560.8710.3830.9591.0000.9241.0000.9630.9781.0000.8790.9560.9340.957
주최기관0.9720.9300.9070.9360.9360.9241.0000.9940.9890.9560.9890.9360.9560.9701.000
후원기관0.9290.9700.9100.1260.8641.0000.9941.0000.9580.9390.9630.9770.9880.8150.841
전화번호1.0000.9880.9900.9660.9770.9630.9890.9581.0000.9870.9730.8790.9560.9420.972
홈페이지주소1.0000.9760.9590.7990.7950.9780.9560.9390.9871.0000.9080.6440.6500.7440.951
관련정보0.7900.7900.7610.0000.9401.0000.9890.9630.9730.9081.0001.0001.0000.7580.878
소재지도로명주소0.9650.9850.9040.8500.9050.8790.9360.9770.8790.6441.0001.0001.0000.9360.969
소재지지번주소0.9750.9970.9300.9590.9770.9560.9560.9880.9560.6501.0001.0001.0001.0001.000
위도0.9610.9700.3700.0001.0000.9340.9700.8150.9420.7440.7580.9361.0001.0000.831
경도1.0001.0000.7550.7741.0000.9571.0000.8410.9720.9510.8780.9691.0000.8311.000
2024-03-14T08:45:09.678128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도후원기관
위도1.0000.3420.432
경도0.3421.0000.467
후원기관0.4320.4671.000

Missing values

2024-03-14T08:45:01.951588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T08:45:02.194055image/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.
2024-03-14T08:45:02.321180image/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

축제명개최장소축제시작일자축제종료일자축제내용주관기관주최기관후원기관전화번호홈페이지주소관련정보소재지도로명주소소재지지번주소위도경도데이터기준일자
0전주한지문화축제한국전통문화전당 일원2017-05-172017-05-21-전주시, 전주한지문화축제조직위원회전라북도 전주시, 전주한지문화축제조직위원회-063-271-2503http://www.jhanji.or.kr한지산업지원센터, 한옥마을, 객사, 덕진공원전주시 완산구 현무1길 20전주시 완산구 경원동3가 14-2127.14828235.8206762017-8-29
1전주비빔밥축제한국전통문화전당2017.10.262017.10.29우리동네 맛자랑 비빔 퍼포먼스 이색 런치 맛있는 정원, 고메쇼, 체험및 공연 등비빔밥축제조직위원회전라북도 전주시문화체육관광부063-277-2515http://www.bibimbapfest.com/한지산업지원센터, 한옥마을, 객사, 덕진공원전주시 완산구 현무1길 20전주시 완산구 경원동3가 14-2127.14828235.8206762017-8-29
2전주국제영화제영화의거리(메가박스) 외 4개소2017-04-272017-05-06<NA>전주국제영화제집행위원회전주국제영화제집행위원회문화체육관광부, 전라북도, 전주시, 영화진흥위원회063-280-7914-한지산업지원센터, 한옥마을, 객사, 덕진공원전주시 완산구 전주객사4길 74-12전주시 완산구 고사동 181127.14364735.8208222017-8-29
3전주단오축제덕진공원2017-05-302017-05-31-풍남문화법인전라북도 전주시전라북도063-277-2515http://www.pncc.or.kr한지산업지원센터, 한옥마을, 객사, 덕진공원전주시 덕진구 기린대로 451전주시 덕진구 덕진동1가 1220-1127.12516235.838222017-8-29
4전주세계소리축제한국소리문화의전당2017-09-202017-09-24음악 축제전주세계소리축제조직위원회전라북도문화체육관광부063-232-8398http://www.sorifestival.com소리축제 프로그램 정보, 티켓안내 등전주시 완산구 소리로 31전주시 덕진구 덕진동1가 산1-1127.13156935.8239262017-8-29
5전주대사습놀이전국대회한옥마을,한국전통문화전당일원2017-09-082017-09-11국악 경연전주대사습놀이조직위원회전주시문화관광체육부, 전라북도063-281-2680http://www.jjdss.or.kr전주대사습놀이유래, 대회안내, 보존회 현황전주시 덕진구 권삼득로 400전주시 덕진구 덕진동2가 184-1127.1196435.8490092017-8-29
6전주국제발효식품엑스포전주월드컵경기장2017-10-192017-10-23-전주국제발효식품엑스포조직위원회전라북도, 전라북도 전주시농림축산식품부, 산업통상자원부, 식품의약품안전처, 국립농산물품질관리원, 한국식품연구원, 전라북도생물산업진흥원063-272-6998http://www.iffe.or.kr/한지박물관, 덕진공원, 동물원전주시 덕진구 기린대로 418전주시 덕진구 금암1동 710-5127.13091235.8389562017-8-29
7서동축제중앙체육공원2017.5.122017.5.14무왕제례, 무왕즉위행차 퍼레이드 서동선발대회, 서동가면무도회, 서동마캐기 체험 등(재)문화재단(재)문화재단익산시063-859-5874seodong.iksan.go.Kr서동축제 기간에 국화축제와 병행하여 축제실시 세계유산으로등재된 백제유적지구인 미륵사지, 왕궁리유적지익산시 하나로 322익산시 어양동 52126.59084935.5658312017-8-29
8천만송이 축화축제중앙체육공원2017.10.272017.11.5국화 전시, 로컬푸드 판매장, 주제공연 및 문화공연, 체험프로그램 운영익산시농업기술센터익산시063-859-4984http://gukhwa.iksan.go.kr<NA>익산시 하나로 322익산시 어양동 52126.59084935.5658312017-8-29
9익산평생학습축제배산체육공원2017-09-222017-09-23<NA>익산시한국공연문화예술연구소익산시063-859-5155-평생학습을 진흥하기 위해 평생학습에 대한 시민의 이해를 돕고스스로 학습하고자 하는 의욕을 고취익산시 동서로 21익산시 모현동2가 186-1126.5628635.57419<NA>
축제명개최장소축제시작일자축제종료일자축제내용주관기관주최기관후원기관전화번호홈페이지주소관련정보소재지도로명주소소재지지번주소위도경도데이터기준일자
23장류축제전통고추장민속마을2017.10.202017.10.22순창고추장 상설체험 마당, 순창고추장 임금님진상행렬, 2015인분 고추장떡볶이 만들기 등장류축제추진위원회장류축제추진위원회순창군063-650-1624www.jangfestival.co.kr강천산군립공원전통고추장민속마을순창군 순창읍 민속마을길 6-3순창군 순창읍 백산리 265-64127.06352235.2207172017-8-29
24고창모양성제모양성일원2017.10.252017.10.29거리 퍼레이드, 답성놀이, 강강술래, 병영문화 체험 등(사)모양성보존회(사)모양성보존회고창군, 한빛원자력, 국방부063-560-2457http://moyangfestival.gochang.go.kr고창군민의날, 기념식고창군 고창읍 중앙로 292고창군 고창읍 교촌리 55-2126.70689535.4353852017-8-29
25고창청보리밭축제고창군 공음면 학원농장 일원2017.4.222017.5.14청보리밭 테마 길 걷기보릿골 체험마당 등고창청보리밭축제위윈회고창청보리밭축제위윈회고창군063-562-9897http://chungbori.gochang.go.kr기념식, 공연, 판매부스 등고창군 공음면 학원농장길 158-6고창군 공음면 선동리 산119-1126.54280535.3762982017-8-29
26선운문화제선운산도립공원2016-09-242016-09-24<NA>선운사선운사고창군063-561-1422www.seonunsa.org선운사도립공원, 고창고인돌유적지고창군 아산면 선운사로 250고창군 아산면 삼인리 500126.57822935.4969332017-8-29
27미당문학제미당시문학관2016-10-282016-10-30<NA>2015 미당문학제 추진위원회2015 미당문학제 추진위원회고창군063-560-8058-기념식, 공연, 농산물판매부스, 미당기념관고창군 부안면 질마재로 2-8고창군 부안면 선운리 231126.61002535.5355352017-8-29
28동학농민혁명 무장기포기념제와 무장읍성동학농민혁명 무장기포지 및 무장2017-04-252017-04-25<NA>동학농민혁명무장기포기념제와무장읍성축제위원회동학농민혁명무장기포기념제와무장읍성축제위원회고창군, 한빛원자력본부, 한수원㈜063-560-2461http://donghak.gochang.go.kr동학농민혁명무장기포기념제, 무장읍성축제 등고창군 공음면 선운대로 308고창군 공음면 구암리 589-2126.4955535.4036612017-8-29
29동학농민혁명 무장기포기념제와 무장읍성동학농민혁명 무장기포지 및 무장2017-04-252017-04-25<NA>---063-560-2461http://donghak.gochang.go.kr동학진격로 걷기 등고창군 무장면 무장읍성길 45고창군 무장면 성내리 156126.55744335.4182272017-8-29
30고창갯벌축제심원면 만돌갯벌체험장2017.7.282017.7.30풍어제, 갯벌체험, 어망체험, 염전체험 풍천장어잡기 체험, 숭어잡기 체험 등고창갯벌축제위원회고창갯벌축제위원회해양수산부, 전라북도, 고창군, 고창수산업협동조합, 한빛원전063-561-2132http://mud-exp.gochang.go.kr동호해수욕장고창군 심원면 애향갯벌로 320고창군 심원면 만돌리 960-27126.51507235.5301762017-8-29
31부안마실축제부안읍 일원2017.5.42017.5.6부래만복 퍼레이드, 위도 띠뱃놀이 재현, 황금오디를 찾아라 등부안 마실축제제전위원회부안 마실축제제전위원회----부안군 부안읍 예술회관길 11부안군 부안읍 서외리 455-51126.43317235.4327512017-8-29
32완주와일드푸드축제고산자연휴양림일원2017.9.222017.9.24와일드 음식&체험(천렵, 화덕 등) 감자삼굿, 개구리&메뚜기 튀김, 곤충음식 먹거리체험 등와일드푸드축제추진위원회완주군문화체육관광부, 전라북도063-290-2623http://wildfoodfestival.kr홈페이지 참고완주군 고산면 고산휴양림로 89완주군 고산면 오산리 808127.23265935.973112017-8-29