Overview

Dataset statistics

Number of variables12
Number of observations195
Missing cells275
Missing cells (%)11.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.8 KiB
Average record size in memory98.7 B

Variable types

Numeric2
Categorical3
Text5
Boolean1
DateTime1

Dataset

Description전북특별자치도 한옥체험업 현황(업종명, 소재, 시설명 등)전북특별자치도내 한옥체험업 업체를 일률적으로 연속되어 있는 번호를 매김 등우리 기관에서는 더 이상 생성 불가 데이터입니다.
Author전북특별자치도
URLhttps://www.data.go.kr/data/15055599/fileData.do

Alerts

업종명 has constant value ""Constant
결제방법 has constant value ""Constant
데이터기준일자 has constant value ""Constant
주변관광정보 is highly overall correlated with 주차장유무High correlation
주차장유무 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 주차장유무High correlation
주변관광정보 is highly imbalanced (72.0%)Imbalance
전화번호 has 145 (74.4%) missing valuesMissing
홈페이지 has 130 (66.7%) missing valuesMissing
연번 has unique valuesUnique
시 설 명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 15:20:15.064650
Analysis finished2024-03-14 15:20:17.933391
Duration2.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct195
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98
Minimum1
Maximum195
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-15T00:20:18.091491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.7
Q149.5
median98
Q3146.5
95-th percentile185.3
Maximum195
Range194
Interquartile range (IQR)97

Descriptive statistics

Standard deviation56.435804
Coefficient of variation (CV)0.57587555
Kurtosis-1.2
Mean98
Median Absolute Deviation (MAD)49
Skewness0
Sum19110
Variance3185
MonotonicityStrictly increasing
2024-03-15T00:20:18.356252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
124 1
 
0.5%
126 1
 
0.5%
127 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
133 1
 
0.5%
Other values (185) 185
94.9%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
195 1
0.5%
194 1
0.5%
193 1
0.5%
192 1
0.5%
191 1
0.5%
190 1
0.5%
189 1
0.5%
188 1
0.5%
187 1
0.5%
186 1
0.5%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
관광편의 시설업
195 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광편의 시설업 195
100.0%

Length

2024-03-15T00:20:18.595669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:20:18.758423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광편의 195
50.0%
시설업 195
50.0%

시 설 명
Text

UNIQUE 

Distinct195
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-03-15T00:20:19.748751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length3.9846154
Min length1

Characters and Unicode

Total characters777
Distinct characters231
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

Unique195 ?
Unique (%)100.0%

Sample

1st row학인당
2nd row양사재
3rd row풍남헌
4th row한옥생활체험관
5th row소담원
ValueCountFrequency (%)
고택 6
 
2.8%
한옥마을숙박 2
 
0.9%
가인당 2
 
0.9%
제인당 2
 
0.9%
일락당 2
 
0.9%
동락원 2
 
0.9%
학인당 1
 
0.5%
들꽃 1
 
0.5%
달빛향 1
 
0.5%
꽃대궐 1
 
0.5%
Other values (195) 195
90.7%
2024-03-15T00:20:21.061714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 25
 
3.2%
21
 
2.7%
가 19
 
2.4%
고 18
 
2.3%
한 18
 
2.3%
옥 16
 
2.1%
원 15
 
1.9%
마 14
 
1.8%
헌 14
 
1.8%
택 12
 
1.5%
Other values (221) 605
77.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 740
95.2%
Space Separator 21
 
2.7%
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%
고 18
 
2.4%
한 18
 
2.4%
옥 16
 
2.2%
원 15
 
2.0%
마 14
 
1.9%
헌 14
 
1.9%
택 12
 
1.6%
다 12
 
1.6%
Other values (210) 577
78.0%
Decimal Number
ValueCountFrequency (%)
9 2
18.2%
1 2
18.2%
2 2
18.2%
8 2
18.2%
7 1
9.1%
3 1
9.1%
6 1
9.1%
Space Separator
ValueCountFrequency (%)
21
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 739
95.1%
Common 37
 
4.8%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 25
 
3.4%
가 19
 
2.6%
고 18
 
2.4%
한 18
 
2.4%
옥 16
 
2.2%
원 15
 
2.0%
마 14
 
1.9%
헌 14
 
1.9%
택 12
 
1.6%
다 12
 
1.6%
Other values (209) 576
77.9%
Common
ValueCountFrequency (%)
21
56.8%
) 2
 
5.4%
( 2
 
5.4%
9 2
 
5.4%
1 2
 
5.4%
2 2
 
5.4%
8 2
 
5.4%
7 1
 
2.7%
3 1
 
2.7%
. 1
 
2.7%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 739
95.1%
ASCII 37
 
4.8%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 25
 
3.4%
가 19
 
2.6%
고 18
 
2.4%
한 18
 
2.4%
옥 16
 
2.2%
원 15
 
2.0%
마 14
 
1.9%
헌 14
 
1.9%
택 12
 
1.6%
다 12
 
1.6%
Other values (209) 576
77.9%
ASCII
ValueCountFrequency (%)
21
56.8%
) 2
 
5.4%
( 2
 
5.4%
9 2
 
5.4%
1 2
 
5.4%
2 2
 
5.4%
8 2
 
5.4%
7 1
 
2.7%
3 1
 
2.7%
. 1
 
2.7%
CJK
ValueCountFrequency (%)
家 1
100.0%

소 재 지
Text

Distinct192
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-03-15T00:20:22.620131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length16.34359
Min length9

Characters and Unicode

Total characters3187
Distinct characters112
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

Unique189 ?
Unique (%)96.9%

Sample

1st row전주시 완산구 향교길 45
2nd row전주시 완산구 오목대길 40
3rd row전주시 완산구 은행로 35
4th row전주시 완산구 어진길 29
5th row전주시 완산구 오목대길 70
ValueCountFrequency (%)
전주시 169
21.8%
완산구 169
21.8%
향교길 31
 
4.0%
은행로 27
 
3.5%
최명희길 26
 
3.4%
전주천동로 16
 
2.1%
한지길 15
 
1.9%
오목대길 12
 
1.5%
경기전길 10
 
1.3%
어진길 9
 
1.2%
Other values (245) 292
37.6%
2024-03-15T00:20:24.545432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
581
18.2%
전 197
 
6.2%
주 195
 
6.1%
시 182
 
5.7%
완 177
 
5.6%
산 174
 
5.5%
구 172
 
5.4%
- 142
 
4.5%
길 124
 
3.9%
1 122
 
3.8%
Other values (102) 1121
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1835
57.6%
Decimal Number 629
 
19.7%
Space Separator 581
 
18.2%
Dash Punctuation 142
 
4.5%

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
 
6.8%
로 59
 
3.2%
교 32
 
1.7%
향 32
 
1.7%
Other values (90) 491
26.8%
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 (%)
581
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 142
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1835
57.6%
Common 1352
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
 
6.8%
로 59
 
3.2%
교 32
 
1.7%
향 32
 
1.7%
Other values (90) 491
26.8%
Common
ValueCountFrequency (%)
581
43.0%
- 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 1835
57.6%
ASCII 1352
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
581
43.0%
- 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
 
6.8%
로 59
 
3.2%
교 32
 
1.7%
향 32
 
1.7%
Other values (90) 491
26.8%

객 실 수
Real number (ℝ)

Distinct14
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7384615
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-15T00:20:24.899181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile10
Maximum18
Range17
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.4763433
Coefficient of variation (CV)0.52260491
Kurtosis4.8216927
Mean4.7384615
Median Absolute Deviation (MAD)1
Skewness1.7566103
Sum924
Variance6.132276
MonotonicityNot monotonic
2024-03-15T00:20:25.456270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
4 50
25.6%
5 38
19.5%
3 36
18.5%
2 19
 
9.7%
6 17
 
8.7%
7 8
 
4.1%
10 5
 
2.6%
8 5
 
2.6%
1 5
 
2.6%
11 4
 
2.1%
Other values (4) 8
 
4.1%
ValueCountFrequency (%)
1 5
 
2.6%
2 19
 
9.7%
3 36
18.5%
4 50
25.6%
5 38
19.5%
6 17
 
8.7%
7 8
 
4.1%
8 5
 
2.6%
9 4
 
2.1%
10 5
 
2.6%
ValueCountFrequency (%)
18 1
 
0.5%
13 1
 
0.5%
12 2
 
1.0%
11 4
 
2.1%
10 5
 
2.6%
9 4
 
2.1%
8 5
 
2.6%
7 8
 
4.1%
6 17
8.7%
5 38
19.5%

전화번호
Text

MISSING 

Distinct47
Distinct (%)94.0%
Missing145
Missing (%)74.4%
Memory size1.6 KiB
2024-03-15T00:20:26.357041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.98
Min length11

Characters and Unicode

Total characters599
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

Unique44 ?
Unique (%)88.0%

Sample

1st row063-284-9929
2nd row063-282-4959
3rd row063-286-7673
4th row063-287-6300
5th row063-285-3783
ValueCountFrequency (%)
063-290-2606 2
 
4.0%
063-285-3490 2
 
4.0%
063-221-1251 2
 
4.0%
063-224-9233 1
 
2.0%
063-282-8687 1
 
2.0%
063-643-1902 1
 
2.0%
063-232-6679 1
 
2.0%
063-287-3500 1
 
2.0%
063-284-0963 1
 
2.0%
063-282-8772 1
 
2.0%
Other values (37) 37
74.0%
2024-03-15T00:20:27.658976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

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%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 499
83.3%
Dash Punctuation 100
 
16.7%

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%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 599
100.0%

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%

Most occurring blocks

ValueCountFrequency (%)
ASCII 599
100.0%

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%

운영테마
Text

Distinct127
Distinct (%)65.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-03-15T00:20:28.909971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length5.5948718
Min length3

Characters and Unicode

Total characters1091
Distinct characters172
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

Unique104 ?
Unique (%)53.3%

Sample

1st row국악, 명상차체험
2nd row용채포(한지공예)
3rd row다도체험
4th row음식,국악체험
5th row선춤,선요가, 헌매
ValueCountFrequency (%)
다도체험 15
 
7.2%
전통음식 15
 
7.2%
한복체험 7
 
3.4%
전통차체험 6
 
2.9%
음식체험 4
 
1.9%
한지공예 4
 
1.9%
서예체험 4
 
1.9%
한지체험 4
 
1.9%
도예체험 3
 
1.4%
염색체험 3
 
1.4%
Other values (127) 143
68.8%
2024-03-15T00:20:30.547162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
체 99
 
9.1%
험 99
 
9.1%
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
 
2.7%
음 28
 
2.6%
Other values (162) 559
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1027
94.1%
Other Punctuation 47
 
4.3%
Space Separator 13
 
1.2%
Open Punctuation 2
 
0.2%
Close 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
 
5.6%
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 (158) 516
50.2%
Other Punctuation
ValueCountFrequency (%)
, 47
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1027
94.1%
Common 64
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
체 99
 
9.6%
험 99
 
9.6%
전 60
 
5.8%
통 57
 
5.6%
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 (158) 516
50.2%
Common
ValueCountFrequency (%)
, 47
73.4%
13
 
20.3%
( 2
 
3.1%
) 2
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1027
94.1%
ASCII 64
 
5.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
체 99
 
9.6%
험 99
 
9.6%
전 60
 
5.8%
통 57
 
5.6%
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 (158) 516
50.2%
ASCII
ValueCountFrequency (%)
, 47
73.4%
13
 
20.3%
( 2
 
3.1%
) 2
 
3.1%

주차장유무
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size323.0 B
False
167 
True
28 
ValueCountFrequency (%)
False 167
85.6%
True 28
 
14.4%
2024-03-15T00:20:30.902283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

결제방법
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
현금,카드
195 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
현금,카드 195
100.0%

Length

2024-03-15T00:20:31.229021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:20:31.532664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
현금,카드 195
100.0%

주변관광정보
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct10
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
경기전,전동성당,풍남문
169 
대둔산, 송광사
 
8
금산사, 벽골제
 
6
내장산
 
4
지리산, 둘레길
 
2
Other values (5)
 
6

Length

Max length12
Median length12
Mean length11.410256
Min length3

Unique

Unique4 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
경기전,전동성당,풍남문 169
86.7%
대둔산, 송광사 8
 
4.1%
금산사, 벽골제 6
 
3.1%
내장산 4
 
2.1%
지리산, 둘레길 2
 
1.0%
새만금방조제, 채석강 2
 
1.0%
광한루, 춘향테마파크 1
 
0.5%
마이산 1
 
0.5%
치즈테마파크, 사선대 1
 
0.5%
모양성, 고인돌공원 1
 
0.5%

Length

2024-03-15T00:20:31.865426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:20:32.221653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기전,전동성당,풍남문 169
78.2%
대둔산 8
 
3.7%
송광사 8
 
3.7%
금산사 6
 
2.8%
벽골제 6
 
2.8%
내장산 4
 
1.9%
채석강 2
 
0.9%
새만금방조제 2
 
0.9%
둘레길 2
 
0.9%
지리산 2
 
0.9%
Other values (7) 7
 
3.2%

홈페이지
Text

MISSING 

Distinct61
Distinct (%)93.8%
Missing130
Missing (%)66.7%
Memory size1.6 KiB
2024-03-15T00:20:33.158929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length16.984615
Min length10

Characters and Unicode

Total characters1104
Distinct characters62
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

Unique57 ?
Unique (%)87.7%

Sample

1st rowwww.from1908.kr
2nd rowwww.jeonjutour.co.kr
3rd rowwww.poongnam.co.kr
4th rowwww.jjhanok.com
5th rowwww.buyongheon.com
ValueCountFrequency (%)
www.gaindang.co.kr 2
 
3.1%
www.jkhanok.co.kr 2
 
3.1%
www.eodang.co.kr 2
 
3.1%
www.ilrak.co.kr 2
 
3.1%
www.happinessfull.co.kr 1
 
1.5%
www.baekryun.co.kr 1
 
1.5%
www.bluec.kr 1
 
1.5%
www.hanok1944.co.kr 1
 
1.5%
www.한옥이야기.kr 1
 
1.5%
www.from1908.kr 1
 
1.5%
Other values (51) 51
78.5%
2024-03-15T00:20:34.542888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 191
17.3%
. 159
14.4%
o 119
10.8%
c 64
 
5.8%
k 63
 
5.7%
r 59
 
5.3%
n 57
 
5.2%
a 49
 
4.4%
m 40
 
3.6%
h 30
 
2.7%
Other values (52) 273
24.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 877
79.4%
Other Punctuation 161
 
14.6%
Other Letter 47
 
4.3%
Decimal Number 19
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 4
 
8.5%
옥 4
 
8.5%
이 3
 
6.4%
주 3
 
6.4%
마 3
 
6.4%
을 3
 
6.4%
고 2
 
4.3%
숙 2
 
4.3%
박 2
 
4.3%
전 2
 
4.3%
Other values (18) 19
40.4%
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%
h 30
 
3.4%
e 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%
0 1
 
5.3%
2 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 159
98.8%
/ 1
 
0.6%
, 1
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
Latin 877
79.4%
Common 180
 
16.3%
Hangul 47
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 4
 
8.5%
옥 4
 
8.5%
이 3
 
6.4%
주 3
 
6.4%
마 3
 
6.4%
을 3
 
6.4%
고 2
 
4.3%
숙 2
 
4.3%
박 2
 
4.3%
전 2
 
4.3%
Other values (18) 19
40.4%
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%
h 30
 
3.4%
e 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%
/ 1
 
0.6%
7 1
 
0.6%
3 1
 
0.6%
0 1
 
0.6%
2 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1057
95.7%
Hangul 47
 
4.3%

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%
h 30
 
2.8%
Other values (24) 226
21.4%
Hangul
ValueCountFrequency (%)
한 4
 
8.5%
옥 4
 
8.5%
이 3
 
6.4%
주 3
 
6.4%
마 3
 
6.4%
을 3
 
6.4%
고 2
 
4.3%
숙 2
 
4.3%
박 2
 
4.3%
전 2
 
4.3%
Other values (18) 19
40.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2015-08-31 00:00:00
Maximum2015-08-31 00:00:00
2024-03-15T00:20:34.891124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:20:35.188595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T00:20:16.337364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:20:15.808339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:20:16.601907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:20:16.076309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T00:20:35.399096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번객 실 수전화번호주차장유무주변관광정보홈페이지
연번1.0000.2630.0000.9590.7500.000
객 실 수0.2631.0000.0000.3250.5670.945
전화번호0.0000.0001.0001.0001.0001.000
주차장유무0.9590.3251.0001.0000.9941.000
주변관광정보0.7500.5671.0000.9941.0001.000
홈페이지0.0000.9451.0001.0001.0001.000
2024-03-15T00:20:35.663284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주변관광정보주차장유무
주변관광정보1.0000.914
주차장유무0.9141.000
2024-03-15T00:20:35.902637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번객 실 수주차장유무주변관광정보
연번1.0000.0100.8090.319
객 실 수0.0101.0000.3190.299
주차장유무0.8090.3191.0000.914
주변관광정보0.3190.2990.9141.000

Missing values

2024-03-15T00:20:16.979483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T00:20:17.510740image/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.
2024-03-15T00:20:17.790715image/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

연번업종명시 설 명소 재 지객 실 수전화번호운영테마주차장유무결제방법주변관광정보홈페이지데이터기준일자
01관광편의 시설업학인당전주시 완산구 향교길 4510063-284-9929국악, 명상차체험N현금,카드경기전,전동성당,풍남문www.from1908.kr2015-08-31
12관광편의 시설업양사재전주시 완산구 오목대길 408063-282-4959용채포(한지공예)N현금,카드경기전,전동성당,풍남문www.jeonjutour.co.kr2015-08-31
23관광편의 시설업풍남헌전주시 완산구 은행로 3511063-286-7673다도체험N현금,카드경기전,전동성당,풍남문www.poongnam.co.kr2015-08-31
34관광편의 시설업한옥생활체험관전주시 완산구 어진길 2918063-287-6300음식,국악체험N현금,카드경기전,전동성당,풍남문www.jjhanok.com2015-08-31
45관광편의 시설업소담원전주시 완산구 오목대길 707<NA>선춤,선요가, 헌매N현금,카드경기전,전동성당,풍남문<NA>2015-08-31
56관광편의 시설업참다원전주시 완산구 향교길 155-94063-285-3783다도, 전통예절N현금,카드경기전,전동성당,풍남문<NA>2015-08-31
67관광편의 시설업부용헌전주시 완산구 향교길 1479063-284-8587전통예절N현금,카드경기전,전동성당,풍남문www.buyongheon.com2015-08-31
78관광편의 시설업일락당전주시 완산구 최명희길 17-55063-284-8661사군자,칠보공예N현금,카드경기전,전동성당,풍남문www.ilrak.co.kr2015-08-31
89관광편의 시설업모련다원전주시 완산구 향교길 824063-227-7446한옥생활체험N현금,카드경기전,전동성당,풍남문<NA>2015-08-31
910관광편의 시설업산민재전주시 완산구 향교길 1533063-283-4332생활예절N현금,카드경기전,전동성당,풍남문<NA>2015-08-31
연번업종명시 설 명소 재 지객 실 수전화번호운영테마주차장유무결제방법주변관광정보홈페이지데이터기준일자
185186관광편의 시설업신명헌완주군 구이면 장미로 235-262063-224-9233전통놀이체험Y현금,카드대둔산, 송광사<NA>2015-08-31
186187관광편의 시설업문희한옥체험완주군 소양면 대흥리 3715<NA>전통음식Y현금,카드대둔산, 송광사<NA>2015-08-31
187188관광편의 시설업전통한지생활문화체험관완주군 소양면 신원리 1208063-290-2606한지체험Y현금,카드대둔산, 송광사<NA>2015-08-31
188189관광편의 시설업녹운제완주군 소양면 송광수만로 472-182<NA>붓글씨쓰기Y현금,카드대둔산, 송광사<NA>2015-08-31
189190관광편의 시설업전통문화체험장완주군 고산면 소향리 16213063-290-2606그네뛰기,투구 등Y현금,카드대둔산, 송광사<NA>2015-08-31
190191관광편의 시설업괴정고택진안군 주천면 주앙리 484-49<NA>전통음식Y현금,카드마이산<NA>2015-08-31
191192관광편의 시설업임실필봉농악보존회임실군 강진면 강운로 27212063-643-1902농악체험Y현금,카드치즈테마파크, 사선대www,pilbong.co.kr2015-08-31
192193관광편의 시설업고창읍성한옥마을고창군 고창읍 읍내리 12011063-563-9977도자기,공예체험Y현금,카드모양성, 고인돌공원www.고창읍성한옥마을.kr2015-08-31
193194관광편의 시설업이갑수 고택부안군 부안읍 선은2길 53<NA>전통음식Y현금,카드새만금방조제, 채석강<NA>2015-08-31
194195관광편의 시설업선은동 고택부안군 부안읍 선은2길 7-53<NA>전통음식Y현금,카드새만금방조제, 채석강<NA>2015-08-31