Overview

Dataset statistics

Number of variables12
Number of observations196
Missing cells275
Missing cells (%)11.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.5 KiB
Average record size in memory96.7 B

Variable types

Unsupported3
Categorical4
Text5

Alerts

Unnamed: 9 is highly overall correlated with Unnamed: 1 and 2 other fieldsHigh correlation
Unnamed: 7 is highly overall correlated with Unnamed: 1 and 2 other fieldsHigh correlation
Unnamed: 1 is highly overall correlated with Unnamed: 7 and 1 other fieldsHigh correlation
Unnamed: 8 is highly overall correlated with Unnamed: 7 and 1 other fieldsHigh correlation
Unnamed: 1 is highly imbalanced (95.4%)Imbalance
Unnamed: 7 is highly imbalanced (59.8%)Imbalance
Unnamed: 8 is highly imbalanced (95.4%)Imbalance
Unnamed: 9 is highly imbalanced (71.9%)Imbalance
Unnamed: 5 has 145 (74.0%) missing valuesMissing
Unnamed: 10 has 130 (66.3%) missing valuesMissing
Unnamed: 2 has unique valuesUnique
한옥체험업 현황(2015년8월) is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 11 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 01:37:50.675767
Analysis finished2024-03-14 01:37:51.524327
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

한옥체험업 현황(2015년8월)
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size1.7 KiB

Unnamed: 1
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
관광편의 시설업
195 
업종명
 
1

Length

Max length8
Median length8
Mean length7.9744898
Min length3

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row업종명
2nd row관광편의 시설업
3rd row관광편의 시설업
4th row관광편의 시설업
5th row관광편의 시설업

Common Values

ValueCountFrequency (%)
관광편의 시설업 195
99.5%
업종명 1
 
0.5%

Length

2024-03-14T10:37:51.579310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:37:51.664344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광편의 195
49.9%
시설업 195
49.9%
업종명 1
 
0.3%

Unnamed: 2
Text

UNIQUE 

Distinct196
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-03-14T10:37:51.835515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length3.9897959
Min length1

Characters and Unicode

Total characters782
Distinct characters232
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique196 ?
Unique (%)100.0%

Sample

1st row시 설 명
2nd row학인당
3rd row양사재
4th row풍남헌
5th row한옥생활체험관
ValueCountFrequency (%)
고택 6
 
2.8%
가인당 2
 
0.9%
한옥마을숙박 2
 
0.9%
동락원 2
 
0.9%
일락당 2
 
0.9%
제인당 2
 
0.9%
들꽃 1
 
0.5%
정담별관 1
 
0.5%
달빛향 1
 
0.5%
꽃대궐 1
 
0.5%
Other values (198) 198
90.8%
2024-03-14T10:37:52.183032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 25
 
3.2%
23
 
2.9%
가 19
 
2.4%
한 18
 
2.3%
고 18
 
2.3%
옥 16
 
2.0%
원 15
 
1.9%
헌 14
 
1.8%
마 14
 
1.8%
다 12
 
1.5%
Other values (222) 608
77.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 743
95.0%
Space Separator 23
 
2.9%
Decimal Number 11
 
1.4%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 25
 
3.4%
가 19
 
2.6%
한 18
 
2.4%
고 18
 
2.4%
옥 16
 
2.2%
원 15
 
2.0%
헌 14
 
1.9%
마 14
 
1.9%
다 12
 
1.6%
택 12
 
1.6%
Other values (211) 580
78.1%
Decimal Number
ValueCountFrequency (%)
8 2
18.2%
2 2
18.2%
9 2
18.2%
1 2
18.2%
7 1
9.1%
3 1
9.1%
6 1
9.1%
Space Separator
ValueCountFrequency (%)
23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 742
94.9%
Common 39
 
5.0%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 25
 
3.4%
가 19
 
2.6%
한 18
 
2.4%
고 18
 
2.4%
옥 16
 
2.2%
원 15
 
2.0%
헌 14
 
1.9%
마 14
 
1.9%
다 12
 
1.6%
택 12
 
1.6%
Other values (210) 579
78.0%
Common
ValueCountFrequency (%)
23
59.0%
8 2
 
5.1%
2 2
 
5.1%
) 2
 
5.1%
9 2
 
5.1%
( 2
 
5.1%
1 2
 
5.1%
7 1
 
2.6%
3 1
 
2.6%
6 1
 
2.6%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 742
94.9%
ASCII 39
 
5.0%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 25
 
3.4%
가 19
 
2.6%
한 18
 
2.4%
고 18
 
2.4%
옥 16
 
2.2%
원 15
 
2.0%
헌 14
 
1.9%
마 14
 
1.9%
다 12
 
1.6%
택 12
 
1.6%
Other values (210) 579
78.0%
ASCII
ValueCountFrequency (%)
23
59.0%
8 2
 
5.1%
2 2
 
5.1%
) 2
 
5.1%
9 2
 
5.1%
( 2
 
5.1%
1 2
 
5.1%
7 1
 
2.6%
3 1
 
2.6%
6 1
 
2.6%
CJK
ValueCountFrequency (%)
家 1
100.0%

Unnamed: 3
Text

Distinct193
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-03-14T10:37:52.494268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length16.285714
Min length5

Characters and Unicode

Total characters3192
Distinct characters113
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

Unique190 ?
Unique (%)96.9%

Sample

1st row소 재 지
2nd row전주시 완산구 향교길 45
3rd row전주시 완산구 오목대길 40
4th row전주시 완산구 은행로 35
5th row전주시 완산구 어진길 29
ValueCountFrequency (%)
전주시 169
21.7%
완산구 169
21.7%
향교길 31
 
4.0%
은행로 27
 
3.5%
최명희길 26
 
3.3%
전주천동로 16
 
2.1%
한지길 15
 
1.9%
오목대길 12
 
1.5%
경기전길 10
 
1.3%
어진길 9
 
1.2%
Other values (248) 295
37.9%
2024-03-14T10:37:52.909503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
583
18.3%
전 197
 
6.2%
주 195
 
6.1%
시 182
 
5.7%
완 177
 
5.5%
산 174
 
5.5%
구 172
 
5.4%
- 142
 
4.4%
길 124
 
3.9%
1 122
 
3.8%
Other values (103) 1124
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1838
57.6%
Decimal Number 629
 
19.7%
Space Separator 583
 
18.3%
Dash Punctuation 142
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 197
 
10.7%
주 195
 
10.6%
시 182
 
9.9%
완 177
 
9.6%
산 174
 
9.5%
구 172
 
9.4%
길 124
 
6.7%
로 59
 
3.2%
향 32
 
1.7%
교 32
 
1.7%
Other values (91) 494
26.9%
Decimal Number
ValueCountFrequency (%)
1 122
19.4%
5 87
13.8%
4 70
11.1%
2 68
10.8%
3 63
10.0%
6 58
9.2%
8 46
 
7.3%
7 45
 
7.2%
9 37
 
5.9%
0 33
 
5.2%
Space Separator
ValueCountFrequency (%)
583
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 142
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1838
57.6%
Common 1354
42.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 197
 
10.7%
주 195
 
10.6%
시 182
 
9.9%
완 177
 
9.6%
산 174
 
9.5%
구 172
 
9.4%
길 124
 
6.7%
로 59
 
3.2%
향 32
 
1.7%
교 32
 
1.7%
Other values (91) 494
26.9%
Common
ValueCountFrequency (%)
583
43.1%
- 142
 
10.5%
1 122
 
9.0%
5 87
 
6.4%
4 70
 
5.2%
2 68
 
5.0%
3 63
 
4.7%
6 58
 
4.3%
8 46
 
3.4%
7 45
 
3.3%
Other values (2) 70
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1838
57.6%
ASCII 1354
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
583
43.1%
- 142
 
10.5%
1 122
 
9.0%
5 87
 
6.4%
4 70
 
5.2%
2 68
 
5.0%
3 63
 
4.7%
6 58
 
4.3%
8 46
 
3.4%
7 45
 
3.3%
Other values (2) 70
 
5.2%
Hangul
ValueCountFrequency (%)
전 197
 
10.7%
주 195
 
10.6%
시 182
 
9.9%
완 177
 
9.6%
산 174
 
9.5%
구 172
 
9.4%
길 124
 
6.7%
로 59
 
3.2%
향 32
 
1.7%
교 32
 
1.7%
Other values (91) 494
26.9%

Unnamed: 4
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size1.7 KiB

Unnamed: 5
Text

MISSING 

Distinct48
Distinct (%)94.1%
Missing145
Missing (%)74.0%
Memory size1.7 KiB
2024-03-14T10:37:53.115594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.823529
Min length4

Characters and Unicode

Total characters603
Distinct characters15
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

Unique45 ?
Unique (%)88.2%

Sample

1st row전화번호
2nd row063-284-9929
3rd row063-282-4959
4th row063-286-7673
5th row063-287-6300
ValueCountFrequency (%)
063-290-2606 2
 
3.9%
063-285-3490 2
 
3.9%
063-221-1251 2
 
3.9%
063-540-3324 1
 
2.0%
063-282-9366 1
 
2.0%
전화번호 1
 
2.0%
063-231-9929 1
 
2.0%
063-224-9233 1
 
2.0%
063-287-1128 1
 
2.0%
063-272-3992 1
 
2.0%
Other values (38) 38
74.5%
2024-03-14T10:37:53.478910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 100
16.6%
3 88
14.6%
2 86
14.3%
6 76
12.6%
0 74
12.3%
8 52
8.6%
7 27
 
4.5%
1 25
 
4.1%
5 25
 
4.1%
9 23
 
3.8%
Other values (5) 27
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 499
82.8%
Dash Punctuation 100
 
16.6%
Other Letter 4
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 88
17.6%
2 86
17.2%
6 76
15.2%
0 74
14.8%
8 52
10.4%
7 27
 
5.4%
1 25
 
5.0%
5 25
 
5.0%
9 23
 
4.6%
4 23
 
4.6%
Other Letter
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 599
99.3%
Hangul 4
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
- 100
16.7%
3 88
14.7%
2 86
14.4%
6 76
12.7%
0 74
12.4%
8 52
8.7%
7 27
 
4.5%
1 25
 
4.2%
5 25
 
4.2%
9 23
 
3.8%
Hangul
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 599
99.3%
Hangul 4
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 100
16.7%
3 88
14.7%
2 86
14.4%
6 76
12.7%
0 74
12.4%
8 52
8.7%
7 27
 
4.5%
1 25
 
4.2%
5 25
 
4.2%
9 23
 
3.8%
Hangul
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%

Unnamed: 6
Text

Distinct128
Distinct (%)65.3%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-03-14T10:37:53.739590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length5.5867347
Min length3

Characters and Unicode

Total characters1095
Distinct characters175
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

Unique105 ?
Unique (%)53.6%

Sample

1st row운영테마
2nd row국악, 명상차체험
3rd row용채포(한지공예)
4th row다도체험
5th row음식,국악체험
ValueCountFrequency (%)
전통음식 15
 
7.2%
다도체험 15
 
7.2%
한복체험 7
 
3.3%
전통차체험 6
 
2.9%
한지체험 4
 
1.9%
서예체험 4
 
1.9%
음식체험 4
 
1.9%
한지공예 4
 
1.9%
도예체험 3
 
1.4%
염색체험 3
 
1.4%
Other values (128) 144
68.9%
2024-03-14T10:37:54.096968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
체 99
 
9.0%
험 99
 
9.0%
전 60
 
5.5%
통 57
 
5.2%
, 47
 
4.3%
예 42
 
3.8%
한 39
 
3.6%
도 32
 
2.9%
기 29
 
2.6%
음 28
 
2.6%
Other values (165) 563
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1031
94.2%
Other Punctuation 47
 
4.3%
Space Separator 13
 
1.2%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
체 99
 
9.6%
험 99
 
9.6%
전 60
 
5.8%
통 57
 
5.5%
예 42
 
4.1%
한 39
 
3.8%
도 32
 
3.1%
기 29
 
2.8%
음 28
 
2.7%
공 26
 
2.5%
Other values (161) 520
50.4%
Other Punctuation
ValueCountFrequency (%)
, 47
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1031
94.2%
Common 64
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
체 99
 
9.6%
험 99
 
9.6%
전 60
 
5.8%
통 57
 
5.5%
예 42
 
4.1%
한 39
 
3.8%
도 32
 
3.1%
기 29
 
2.8%
음 28
 
2.7%
공 26
 
2.5%
Other values (161) 520
50.4%
Common
ValueCountFrequency (%)
, 47
73.4%
13
 
20.3%
) 2
 
3.1%
( 2
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1031
94.2%
ASCII 64
 
5.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
체 99
 
9.6%
험 99
 
9.6%
전 60
 
5.8%
통 57
 
5.5%
예 42
 
4.1%
한 39
 
3.8%
도 32
 
3.1%
기 29
 
2.8%
음 28
 
2.7%
공 26
 
2.5%
Other values (161) 520
50.4%
ASCII
ValueCountFrequency (%)
, 47
73.4%
13
 
20.3%
) 2
 
3.1%
( 2
 
3.1%

Unnamed: 7
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
무
167 
유
28 
주차장유무
 
1

Length

Max length5
Median length1
Mean length1.0204082
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row주차장유무
2nd row무
3rd row무
4th row무
5th row무

Common Values

ValueCountFrequency (%)
무 167
85.2%
유 28
 
14.3%
주차장유무 1
 
0.5%

Length

2024-03-14T10:37:54.214597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:37:54.311907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무 167
85.2%
유 28
 
14.3%
주차장유무 1
 
0.5%

Unnamed: 8
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
현금,카드
195 
결제방법
 
1

Length

Max length5
Median length5
Mean length4.994898
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row결제방법
2nd row현금,카드
3rd row현금,카드
4th row현금,카드
5th row현금,카드

Common Values

ValueCountFrequency (%)
현금,카드 195
99.5%
결제방법 1
 
0.5%

Length

2024-03-14T10:37:54.400686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:37:54.477966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
현금,카드 195
99.5%
결제방법 1
 
0.5%

Unnamed: 9
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct11
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
경기전,전동성당,풍남문
169 
대둔산, 송광사
 
8
금산사, 벽골제
 
6
내장산
 
4
지리산, 둘레길
 
2
Other values (6)
 
7

Length

Max length12
Median length12
Mean length11.382653
Min length3

Unique

Unique5 ?
Unique (%)2.6%

Sample

1st row주변관광정보
2nd row경기전,전동성당,풍남문
3rd row경기전,전동성당,풍남문
4th row경기전,전동성당,풍남문
5th row경기전,전동성당,풍남문

Common Values

ValueCountFrequency (%)
경기전,전동성당,풍남문 169
86.2%
대둔산, 송광사 8
 
4.1%
금산사, 벽골제 6
 
3.1%
내장산 4
 
2.0%
지리산, 둘레길 2
 
1.0%
새만금방조제, 채석강 2
 
1.0%
주변관광정보 1
 
0.5%
광한루, 춘향테마파크 1
 
0.5%
마이산 1
 
0.5%
치즈테마파크, 사선대 1
 
0.5%

Length

2024-03-14T10:37:54.559096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기전,전동성당,풍남문 169
77.9%
송광사 8
 
3.7%
대둔산 8
 
3.7%
금산사 6
 
2.8%
벽골제 6
 
2.8%
내장산 4
 
1.8%
새만금방조제 2
 
0.9%
채석강 2
 
0.9%
둘레길 2
 
0.9%
지리산 2
 
0.9%
Other values (8) 8
 
3.7%

Unnamed: 10
Text

MISSING 

Distinct62
Distinct (%)93.9%
Missing130
Missing (%)66.3%
Memory size1.7 KiB
2024-03-14T10:37:54.737544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length16.787879
Min length4

Characters and Unicode

Total characters1108
Distinct characters65
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)87.9%

Sample

1st row홈페이지
2nd rowwww.from1908.kr
3rd rowwww.jeonjutour.co.kr
4th rowwww.poongnam.co.kr
5th rowwww.jjhanok.com
ValueCountFrequency (%)
www.gaindang.co.kr 2
 
3.0%
www.jkhanok.co.kr 2
 
3.0%
www.ilrak.co.kr 2
 
3.0%
www.eodang.co.kr 2
 
3.0%
www.yeonwoodang.com 1
 
1.5%
jiwoodang.fortour.kr 1
 
1.5%
홈페이지 1
 
1.5%
www.한옥이야기.kr 1
 
1.5%
www.이택구사랑채.com 1
 
1.5%
www.darkbbang.com 1
 
1.5%
Other values (52) 52
78.8%
2024-03-14T10:37:55.038113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 191
17.2%
. 159
14.4%
o 119
10.7%
c 64
 
5.8%
k 63
 
5.7%
r 59
 
5.3%
n 57
 
5.1%
a 49
 
4.4%
m 40
 
3.6%
e 30
 
2.7%
Other values (55) 277
25.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 877
79.2%
Other Punctuation 161
 
14.5%
Other Letter 51
 
4.6%
Decimal Number 19
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 4
 
7.8%
옥 4
 
7.8%
한 4
 
7.8%
을 3
 
5.9%
마 3
 
5.9%
주 3
 
5.9%
전 2
 
3.9%
사 2
 
3.9%
고 2
 
3.9%
숙 2
 
3.9%
Other values (21) 22
43.1%
Lowercase Letter
ValueCountFrequency (%)
w 191
21.8%
o 119
13.6%
c 64
 
7.3%
k 63
 
7.2%
r 59
 
6.7%
n 57
 
6.5%
a 49
 
5.6%
m 40
 
4.6%
e 30
 
3.4%
h 30
 
3.4%
Other values (13) 175
20.0%
Decimal Number
ValueCountFrequency (%)
1 6
31.6%
9 4
21.1%
4 3
15.8%
8 2
 
10.5%
7 1
 
5.3%
3 1
 
5.3%
2 1
 
5.3%
0 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 159
98.8%
, 1
 
0.6%
/ 1
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
Latin 877
79.2%
Common 180
 
16.2%
Hangul 51
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 4
 
7.8%
옥 4
 
7.8%
한 4
 
7.8%
을 3
 
5.9%
마 3
 
5.9%
주 3
 
5.9%
전 2
 
3.9%
사 2
 
3.9%
고 2
 
3.9%
숙 2
 
3.9%
Other values (21) 22
43.1%
Latin
ValueCountFrequency (%)
w 191
21.8%
o 119
13.6%
c 64
 
7.3%
k 63
 
7.2%
r 59
 
6.7%
n 57
 
6.5%
a 49
 
5.6%
m 40
 
4.6%
e 30
 
3.4%
h 30
 
3.4%
Other values (13) 175
20.0%
Common
ValueCountFrequency (%)
. 159
88.3%
1 6
 
3.3%
9 4
 
2.2%
4 3
 
1.7%
8 2
 
1.1%
7 1
 
0.6%
3 1
 
0.6%
2 1
 
0.6%
, 1
 
0.6%
/ 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1057
95.4%
Hangul 51
 
4.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 191
18.1%
. 159
15.0%
o 119
11.3%
c 64
 
6.1%
k 63
 
6.0%
r 59
 
5.6%
n 57
 
5.4%
a 49
 
4.6%
m 40
 
3.8%
e 30
 
2.8%
Other values (24) 226
21.4%
Hangul
ValueCountFrequency (%)
이 4
 
7.8%
옥 4
 
7.8%
한 4
 
7.8%
을 3
 
5.9%
마 3
 
5.9%
주 3
 
5.9%
전 2
 
3.9%
사 2
 
3.9%
고 2
 
3.9%
숙 2
 
3.9%
Other values (21) 22
43.1%

Unnamed: 11
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size1.7 KiB

Correlations

2024-03-14T10:37:55.119806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 1Unnamed: 5Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10
Unnamed: 11.0001.0001.0000.7001.0001.000
Unnamed: 51.0001.0001.0001.0001.0001.000
Unnamed: 71.0001.0001.0001.0000.9681.000
Unnamed: 80.7001.0001.0001.0001.0001.000
Unnamed: 91.0001.0000.9681.0001.0001.000
Unnamed: 101.0001.0001.0001.0001.0001.000
2024-03-14T10:37:55.218636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 9Unnamed: 7Unnamed: 1Unnamed: 8
Unnamed: 91.0000.9470.9770.977
Unnamed: 70.9471.0000.9970.997
Unnamed: 10.9770.9971.0000.494
Unnamed: 80.9770.9970.4941.000
2024-03-14T10:37:55.348441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 1Unnamed: 7Unnamed: 8Unnamed: 9
Unnamed: 11.0000.9970.4940.977
Unnamed: 70.9971.0000.9970.947
Unnamed: 80.4940.9971.0000.977
Unnamed: 90.9770.9470.9771.000

Missing values

2024-03-14T10:37:51.222950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:37:51.351792image/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.
2024-03-14T10:37:51.468209image/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

한옥체험업 현황(2015년8월)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11
0연번업종명시 설 명소 재 지객 실 수전화번호운영테마주차장유무결제방법주변관광정보홈페이지데이터기준일자
11관광편의 시설업학인당전주시 완산구 향교길 4510063-284-9929국악, 명상차체험무현금,카드경기전,전동성당,풍남문www.from1908.kr2015-08-31 00:00:00
22관광편의 시설업양사재전주시 완산구 오목대길 408063-282-4959용채포(한지공예)무현금,카드경기전,전동성당,풍남문www.jeonjutour.co.kr2015-08-31 00:00:00
33관광편의 시설업풍남헌전주시 완산구 은행로 3511063-286-7673다도체험무현금,카드경기전,전동성당,풍남문www.poongnam.co.kr2015-08-31 00:00:00
44관광편의 시설업한옥생활체험관전주시 완산구 어진길 2918063-287-6300음식,국악체험무현금,카드경기전,전동성당,풍남문www.jjhanok.com2015-08-31 00:00:00
55관광편의 시설업소담원전주시 완산구 오목대길 707<NA>선춤,선요가, 헌매무현금,카드경기전,전동성당,풍남문<NA>2015-08-31 00:00:00
66관광편의 시설업참다원전주시 완산구 향교길 155-94063-285-3783다도, 전통예절무현금,카드경기전,전동성당,풍남문<NA>2015-08-31 00:00:00
77관광편의 시설업부용헌전주시 완산구 향교길 1479063-284-8587전통예절무현금,카드경기전,전동성당,풍남문www.buyongheon.com2015-08-31 00:00:00
88관광편의 시설업일락당전주시 완산구 최명희길 17-55063-284-8661사군자,칠보공예무현금,카드경기전,전동성당,풍남문www.ilrak.co.kr2015-08-31 00:00:00
99관광편의 시설업모련다원전주시 완산구 향교길 824063-227-7446한옥생활체험무현금,카드경기전,전동성당,풍남문<NA>2015-08-31 00:00:00
한옥체험업 현황(2015년8월)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11
186186관광편의 시설업신명헌완주군 구이면 장미로 235-262063-224-9233전통놀이체험유현금,카드대둔산, 송광사<NA>2015-08-31 00:00:00
187187관광편의 시설업문희한옥체험완주군 소양면 대흥리 3715<NA>전통음식유현금,카드대둔산, 송광사<NA>2015-08-31 00:00:00
188188관광편의 시설업전통한지생활문화체험관완주군 소양면 신원리 1208063-290-2606한지체험유현금,카드대둔산, 송광사<NA>2015-08-31 00:00:00
189189관광편의 시설업녹운제완주군 소양면 송광수만로 472-182<NA>붓글씨쓰기유현금,카드대둔산, 송광사<NA>2015-08-31 00:00:00
190190관광편의 시설업전통문화체험장완주군 고산면 소향리 16213063-290-2606그네뛰기,투구 등유현금,카드대둔산, 송광사<NA>2015-08-31 00:00:00
191191관광편의 시설업괴정고택진안군 주천면 주앙리 484-49<NA>전통음식유현금,카드마이산<NA>2015-08-31 00:00:00
192192관광편의 시설업임실필봉농악보존회임실군 강진면 강운로 27212063-643-1902농악체험유현금,카드치즈테마파크, 사선대www,pilbong.co.kr2015-08-31 00:00:00
193193관광편의 시설업고창읍성한옥마을고창군 고창읍 읍내리 12011063-563-9977도자기,공예체험유현금,카드모양성, 고인돌공원www.고창읍성한옥마을.kr2015-08-31 00:00:00
194194관광편의 시설업이갑수 고택부안군 부안읍 선은2길 53<NA>전통음식유현금,카드새만금방조제, 채석강<NA>2015-08-31 00:00:00
195195관광편의 시설업선은동 고택부안군 부안읍 선은2길 7-53<NA>전통음식유현금,카드새만금방조제, 채석강<NA>2015-08-31 00:00:00