Overview

Dataset statistics

Number of variables9
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory77.1 B

Variable types

Unsupported5
Categorical1
Text3

Alerts

Unnamed: 3 has unique valuesUnique
농촌축제 지원 현황 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 8 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-13 23:50:36.523315
Analysis finished2024-03-13 23:50:36.990217
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

농촌축제 지원 현황
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size340.0 B

Unnamed: 1
Categorical

Distinct10
Distinct (%)38.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
진안
6 
익산
5 
고창
4 
남원
3 
완주
3 
Other values (5)
5 

Length

Max length3
Median length2
Mean length2.0384615
Min length2

Unique

Unique5 ?
Unique (%)19.2%

Sample

1st row시군
2nd row합 계
3rd row남원
4th row진안
5th row고창

Common Values

ValueCountFrequency (%)
진안 6
23.1%
익산 5
19.2%
고창 4
15.4%
남원 3
11.5%
완주 3
11.5%
시군 1
 
3.8%
합 계 1
 
3.8%
장수 1
 
3.8%
김제 1
 
3.8%
정읍 1
 
3.8%

Length

2024-03-14T08:50:37.052775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T08:50:37.155298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
진안 6
22.2%
익산 5
18.5%
고창 4
14.8%
남원 3
11.1%
완주 3
11.1%
시군 1
 
3.7%
합 1
 
3.7%
계 1
 
3.7%
장수 1
 
3.7%
김제 1
 
3.7%

Unnamed: 2
Text

Distinct22
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-03-14T08:50:37.330451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16.5
Mean length10.615385
Min length3

Characters and Unicode

Total characters276
Distinct characters86
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)73.1%

Sample

1st row축제명
2nd row26개 축제
3rd row용궁마을 산수유축제
4th row원연장마을 꽃잔디축제
5th row하전마을 생생갯벌축제
ValueCountFrequency (%)
축제 16
22.9%
송천 3
 
4.3%
블루베리 3
 
4.3%
하전마을 3
 
4.3%
원연장 2
 
2.9%
꽃잔디 2
 
2.9%
귀농․귀촌체험축제 2
 
2.9%
용궁마을 2
 
2.9%
생생 2
 
2.9%
산수유 2
 
2.9%
Other values (33) 33
47.1%
2024-03-14T08:50:37.670032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44
 
15.9%
축 26
 
9.4%
제 26
 
9.4%
마 9
 
3.3%
을 9
 
3.3%
생 8
 
2.9%
산 6
 
2.2%
리 6
 
2.2%
수 5
 
1.8%
험 4
 
1.4%
Other values (76) 133
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 222
80.4%
Space Separator 44
 
15.9%
Close Punctuation 2
 
0.7%
Open Punctuation 2
 
0.7%
Other Punctuation 2
 
0.7%
Decimal Number 2
 
0.7%
Initial Punctuation 1
 
0.4%
Final Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
축 26
 
11.7%
제 26
 
11.7%
마 9
 
4.1%
을 9
 
4.1%
생 8
 
3.6%
산 6
 
2.7%
리 6
 
2.7%
수 5
 
2.3%
험 4
 
1.8%
천 4
 
1.8%
Other values (68) 119
53.6%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
6 1
50.0%
Space Separator
ValueCountFrequency (%)
44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
․ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 222
80.4%
Common 54
 
19.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
축 26
 
11.7%
제 26
 
11.7%
마 9
 
4.1%
을 9
 
4.1%
생 8
 
3.6%
산 6
 
2.7%
리 6
 
2.7%
수 5
 
2.3%
험 4
 
1.8%
천 4
 
1.8%
Other values (68) 119
53.6%
Common
ValueCountFrequency (%)
44
81.5%
) 2
 
3.7%
( 2
 
3.7%
․ 2
 
3.7%
2 1
 
1.9%
6 1
 
1.9%
“ 1
 
1.9%
” 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 222
80.4%
ASCII 50
 
18.1%
Punctuation 4
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44
88.0%
) 2
 
4.0%
( 2
 
4.0%
2 1
 
2.0%
6 1
 
2.0%
Hangul
ValueCountFrequency (%)
축 26
 
11.7%
제 26
 
11.7%
마 9
 
4.1%
을 9
 
4.1%
생 8
 
3.6%
산 6
 
2.7%
리 6
 
2.7%
수 5
 
2.3%
험 4
 
1.8%
천 4
 
1.8%
Other values (68) 119
53.6%
Punctuation
ValueCountFrequency (%)
․ 2
50.0%
“ 1
25.0%
” 1
25.0%

Unnamed: 3
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-03-14T08:50:37.829458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length17.384615
Min length1

Characters and Unicode

Total characters452
Distinct characters19
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

Unique26 ?
Unique (%)100.0%

Sample

1st row기간
2nd row-
3rd row3.29. ~ 3.30.(2일간)
4th row5.3. ~ 5.6. (4일간)
5th row8.15. ~ 8.16. (2일간)
ValueCountFrequency (%)
25
25.8%
2일간 12
 
12.4%
3일간 4
 
4.1%
10일간 2
 
2.1%
5.5 2
 
2.1%
10.26 2
 
2.1%
8.16 2
 
2.1%
4.7 2
 
2.1%
4일간 2
 
2.1%
9.9 2
 
2.1%
Other values (41) 42
43.3%
2024-03-14T08:50:38.102921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 95
21.0%
72
15.9%
1 34
 
7.5%
2 29
 
6.4%
간 25
 
5.5%
~ 24
 
5.3%
( 24
 
5.3%
일 24
 
5.3%
) 24
 
5.3%
0 16
 
3.5%
Other values (9) 85
18.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 162
35.8%
Other Punctuation 95
21.0%
Space Separator 72
15.9%
Other Letter 50
 
11.1%
Math Symbol 24
 
5.3%
Open Punctuation 24
 
5.3%
Close Punctuation 24
 
5.3%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 34
21.0%
2 29
17.9%
0 16
9.9%
3 15
9.3%
5 15
9.3%
9 13
 
8.0%
6 12
 
7.4%
4 10
 
6.2%
7 10
 
6.2%
8 8
 
4.9%
Other Letter
ValueCountFrequency (%)
간 25
50.0%
일 24
48.0%
기 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 95
100.0%
Space Separator
ValueCountFrequency (%)
72
100.0%
Math Symbol
ValueCountFrequency (%)
~ 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 402
88.9%
Hangul 50
 
11.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 95
23.6%
72
17.9%
1 34
 
8.5%
2 29
 
7.2%
~ 24
 
6.0%
( 24
 
6.0%
) 24
 
6.0%
0 16
 
4.0%
3 15
 
3.7%
5 15
 
3.7%
Other values (6) 54
13.4%
Hangul
ValueCountFrequency (%)
간 25
50.0%
일 24
48.0%
기 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 402
88.9%
Hangul 50
 
11.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 95
23.6%
72
17.9%
1 34
 
8.5%
2 29
 
7.2%
~ 24
 
6.0%
( 24
 
6.0%
) 24
 
6.0%
0 16
 
4.0%
3 15
 
3.7%
5 15
 
3.7%
Other values (6) 54
13.4%
Hangul
ValueCountFrequency (%)
간 25
50.0%
일 24
48.0%
기 1
 
2.0%

Unnamed: 4
Text

Distinct20
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-03-14T08:50:38.288722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length11.076923
Min length1

Characters and Unicode

Total characters288
Distinct characters88
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)57.7%

Sample

1st row장소
2nd row-
3rd row남원시 주천면 용궁마을
4th row원연장마을 및 꽃잔디동산
5th row심원면 하전리 하전갯벌마을
ValueCountFrequency (%)
및 4
 
5.8%
원연장마을 3
 
4.3%
꽃잔디동산 3
 
4.3%
하전갯벌마을 3
 
4.3%
주천면 3
 
4.3%
지구 2
 
2.9%
용궁마을 2
 
2.9%
남원시 2
 
2.9%
웅포문화센터 2
 
2.9%
마을만들기 2
 
2.9%
Other values (39) 43
62.3%
2024-03-14T08:50:38.620220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46
 
16.0%
을 16
 
5.6%
마 16
 
5.6%
면 12
 
4.2%
원 11
 
3.8%
산 8
 
2.8%
장 7
 
2.4%
천 7
 
2.4%
전 6
 
2.1%
하 5
 
1.7%
Other values (78) 154
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 234
81.2%
Space Separator 46
 
16.0%
Decimal Number 6
 
2.1%
Dash Punctuation 1
 
0.3%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
을 16
 
6.8%
마 16
 
6.8%
면 12
 
5.1%
원 11
 
4.7%
산 8
 
3.4%
장 7
 
3.0%
천 7
 
3.0%
전 6
 
2.6%
하 5
 
2.1%
포 4
 
1.7%
Other values (72) 142
60.7%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
0 2
33.3%
1 1
 
16.7%
Space Separator
ValueCountFrequency (%)
46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 234
81.2%
Common 54
 
18.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
을 16
 
6.8%
마 16
 
6.8%
면 12
 
5.1%
원 11
 
4.7%
산 8
 
3.4%
장 7
 
3.0%
천 7
 
3.0%
전 6
 
2.6%
하 5
 
2.1%
포 4
 
1.7%
Other values (72) 142
60.7%
Common
ValueCountFrequency (%)
46
85.2%
2 3
 
5.6%
0 2
 
3.7%
- 1
 
1.9%
, 1
 
1.9%
1 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 234
81.2%
ASCII 54
 
18.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
46
85.2%
2 3
 
5.6%
0 2
 
3.7%
- 1
 
1.9%
, 1
 
1.9%
1 1
 
1.9%
Hangul
ValueCountFrequency (%)
을 16
 
6.8%
마 16
 
6.8%
면 12
 
5.1%
원 11
 
4.7%
산 8
 
3.4%
장 7
 
3.0%
천 7
 
3.0%
전 6
 
2.6%
하 5
 
2.1%
포 4
 
1.7%
Other values (72) 142
60.7%

Unnamed: 5
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size340.0 B

Unnamed: 6
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size340.0 B

Unnamed: 7
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size340.0 B

Unnamed: 8
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size340.0 B

Correlations

2024-03-14T08:50:38.695862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4
Unnamed: 11.0001.0001.0001.000
Unnamed: 21.0001.0001.0000.986
Unnamed: 31.0001.0001.0001.000
Unnamed: 41.0000.9861.0001.000

Missing values

2024-03-14T08:50:36.796475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T08:50:36.938659image/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.

Sample

농촌축제 지원 현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8
0구분시군축제명기간장소계(백만원)국비시군비자담
1연도합 계26개 축제--958.6392.2430.2136.2
22014남원용궁마을 산수유축제3.29. ~ 3.30.(2일간)남원시 주천면 용궁마을2510105
32014진안원연장마을 꽃잔디축제5.3. ~ 5.6. (4일간)원연장마을 및 꽃잔디동산4820208
42014고창하전마을 생생갯벌축제8.15. ~ 8.16. (2일간)심원면 하전리 하전갯벌마을5418288
52014장수“월야의 흥”축제10.10. ~ 10.11. (2일간)장수군 천천면 구신마을2210102
62014김제수류문화축제10.25. ~ 10.26. (2일간)김제시 금산면 수류로36.517172.5
72014익산억새축제11.7. ~ 11.9. (3일간)익산시 용안면 난포리3716165
82013남원용궁마을 산수유 축제4.6. ~ 4.7. (2일간)남원시 주천면 용궁마을201055
92013완주경천이 애인이와 함께 하는 생태나들이 축제10.26. ~ 10.27. (2일간)경천면농촌사랑학교, 12개 체험마을2912125
농촌축제 지원 현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8
162011익산송천 블루베리 축제7.1. ~ 7.3. (3일간)웅포문화센터4420204
172011완주소양 꽃 축제10.29. ~ 10.30. (2일간)소양초등학교3315153
182011진안원연장 꽃잔디 축제5.5. ~ 5.8. (4일간)원연장마을 및 꽃잔디동산4520205
192010익산송천 블루베리 축제6.19 ~ 6.20. (2일간)웅포문화센터3315153
202010완주물고기 마을 축제10.9. ~ 10.13. (5일간)이서 물고기마을47.618.218.211.2
212010진안생명의 땅 금지(배넘실) 마을축제12.3. ~ 12.5. (3일간)상전면 금지마을 및 광장402020-
222009익산송천 블루베리 축제6.12. ~ 6.14. (3일간)웅포면 송천마을402020-
232009진안귀농․귀촌체험축제7.31. ~ 8.9. (10일간)진안군내 20개 마을만들기 지구402020-
242008진안귀농․귀촌체험축제8.7. ~ 8.16. (10일간)진안군내 20개 마을만들기 지구402020-
252008고창청보리밭 축제4.12. ~ 5.12. (31일간)공음면 학원농장 청보리밭 일원110255035