Overview

Dataset statistics

Number of variables17
Number of observations190
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.7 KiB
Average record size in memory138.7 B

Variable types

Numeric1
Categorical9
Text7

Alerts

결제방법 has constant value ""Constant
자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
시군명 is highly overall correlated with 주차장유무 and 1 other fieldsHigh correlation
주차장유무 is highly overall correlated with 순번 and 2 other fieldsHigh correlation
관광정보 is highly overall correlated with 시군명 and 1 other fieldsHigh correlation
순번 is highly overall correlated with 주차장유무High correlation
시군명 is highly imbalanced (70.6%)Imbalance
관광정보 is highly imbalanced (71.5%)Imbalance
순번 has unique valuesUnique
시설명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 23:57:55.269838
Analysis finished2024-03-13 23:57:56.392392
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct190
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.447368
Minimum1
Maximum191
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-14T08:57:56.455958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.9
Q149.25
median96.5
Q3143.75
95-th percentile181.55
Maximum191
Range190
Interquartile range (IQR)94.5

Descriptive statistics

Standard deviation55.079403
Coefficient of variation (CV)0.57108248
Kurtosis-1.1940238
Mean96.447368
Median Absolute Deviation (MAD)47.5
Skewness-0.0049737632
Sum18325
Variance3033.7406
MonotonicityStrictly increasing
2024-03-14T08:57:56.605479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
133 1
 
0.5%
124 1
 
0.5%
125 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%
Other values (180) 180
94.7%
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 (%)
191 1
0.5%
190 1
0.5%
189 1
0.5%
188 1
0.5%
187 1
0.5%
186 1
0.5%
185 1
0.5%
184 1
0.5%
183 1
0.5%
182 1
0.5%

시군명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct9
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
전주시
164 
완주군
 
8
김제시
 
6
정읍시
 
4
남원시
 
3
Other values (4)
 
5

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique3 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
전주시 164
86.3%
완주군 8
 
4.2%
김제시 6
 
3.2%
정읍시 4
 
2.1%
남원시 3
 
1.6%
부안군 2
 
1.1%
진안군 1
 
0.5%
임실군 1
 
0.5%
고창군 1
 
0.5%

Length

2024-03-14T08:57:56.729553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T08:57:56.827646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전주시 164
86.3%
완주군 8
 
4.2%
김제시 6
 
3.2%
정읍시 4
 
2.1%
남원시 3
 
1.6%
부안군 2
 
1.1%
진안군 1
 
0.5%
임실군 1
 
0.5%
고창군 1
 
0.5%

시설명
Text

UNIQUE 

Distinct190
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-03-14T08:57:57.053261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length4.0263158
Min length1

Characters and Unicode

Total characters765
Distinct characters230
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

Unique190 ?
Unique (%)100.0%

Sample

1st row학인당
2nd row양사재
3rd row풍남헌
4th row한옥생활체험관
5th row소담원
ValueCountFrequency (%)
고택 4
 
1.9%
동락원 2
 
1.0%
한옥마을숙박 2
 
1.0%
가인당 2
 
1.0%
제인당 2
 
1.0%
일락당 2
 
1.0%
인연 1
 
0.5%
하늘애 1
 
0.5%
교동가온 1
 
0.5%
장수한옥민박 1
 
0.5%
Other values (191) 191
91.4%
2024-03-14T08:57:57.382689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 24
 
3.1%
19
 
2.5%
가 18
 
2.4%
한 18
 
2.4%
고 17
 
2.2%
옥 16
 
2.1%
원 15
 
2.0%
마 14
 
1.8%
헌 13
 
1.7%
택 12
 
1.6%
Other values (220) 599
78.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 730
95.4%
Space Separator 19
 
2.5%
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 24
 
3.3%
가 18
 
2.5%
한 18
 
2.5%
고 17
 
2.3%
옥 16
 
2.2%
원 15
 
2.1%
마 14
 
1.9%
헌 13
 
1.8%
택 12
 
1.6%
다 12
 
1.6%
Other values (209) 571
78.2%
Decimal Number
ValueCountFrequency (%)
8 2
18.2%
2 2
18.2%
1 2
18.2%
9 2
18.2%
3 1
9.1%
7 1
9.1%
6 1
9.1%
Space Separator
ValueCountFrequency (%)
19
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 729
95.3%
Common 35
 
4.6%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 24
 
3.3%
가 18
 
2.5%
한 18
 
2.5%
고 17
 
2.3%
옥 16
 
2.2%
원 15
 
2.1%
마 14
 
1.9%
헌 13
 
1.8%
택 12
 
1.6%
다 12
 
1.6%
Other values (208) 570
78.2%
Common
ValueCountFrequency (%)
19
54.3%
) 2
 
5.7%
( 2
 
5.7%
8 2
 
5.7%
2 2
 
5.7%
1 2
 
5.7%
9 2
 
5.7%
3 1
 
2.9%
7 1
 
2.9%
6 1
 
2.9%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 729
95.3%
ASCII 35
 
4.6%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 24
 
3.3%
가 18
 
2.5%
한 18
 
2.5%
고 17
 
2.3%
옥 16
 
2.2%
원 15
 
2.1%
마 14
 
1.9%
헌 13
 
1.8%
택 12
 
1.6%
다 12
 
1.6%
Other values (208) 570
78.2%
ASCII
ValueCountFrequency (%)
19
54.3%
) 2
 
5.7%
( 2
 
5.7%
8 2
 
5.7%
2 2
 
5.7%
1 2
 
5.7%
9 2
 
5.7%
3 1
 
2.9%
7 1
 
2.9%
6 1
 
2.9%
CJK
ValueCountFrequency (%)
家 1
100.0%

운영자
Text

Distinct183
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-03-14T08:57:57.671782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.0210526
Min length2

Characters and Unicode

Total characters574
Distinct characters133
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique176 ?
Unique (%)92.6%

Sample

1st row백광제
2nd row정재민
3rd row최영례
4th row김창균
5th row강남훈
ValueCountFrequency (%)
김미숙 2
 
1.0%
이선아 2
 
1.0%
완주군수 2
 
1.0%
한재섭 2
 
1.0%
정미숙 2
 
1.0%
서정숙 2
 
1.0%
이동근 2
 
1.0%
김현진 1
 
0.5%
강혜경 1
 
0.5%
김은영 1
 
0.5%
Other values (174) 174
91.1%
2024-03-14T08:57:58.128654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 43
 
7.5%
이 29
 
5.1%
영 21
 
3.7%
정 18
 
3.1%
숙 14
 
2.4%
순 13
 
2.3%
수 13
 
2.3%
연 11
 
1.9%
혜 10
 
1.7%
박 10
 
1.7%
Other values (123) 392
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 573
99.8%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 43
 
7.5%
이 29
 
5.1%
영 21
 
3.7%
정 18
 
3.1%
숙 14
 
2.4%
순 13
 
2.3%
수 13
 
2.3%
연 11
 
1.9%
혜 10
 
1.7%
박 10
 
1.7%
Other values (122) 391
68.2%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 573
99.8%
Common 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 43
 
7.5%
이 29
 
5.1%
영 21
 
3.7%
정 18
 
3.1%
숙 14
 
2.4%
순 13
 
2.3%
수 13
 
2.3%
연 11
 
1.9%
혜 10
 
1.7%
박 10
 
1.7%
Other values (122) 391
68.2%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 573
99.8%
ASCII 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 43
 
7.5%
이 29
 
5.1%
영 21
 
3.7%
정 18
 
3.1%
숙 14
 
2.4%
순 13
 
2.3%
수 13
 
2.3%
연 11
 
1.9%
혜 10
 
1.7%
박 10
 
1.7%
Other values (122) 391
68.2%
ASCII
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

Distinct189
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-03-14T08:57:58.476357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length16.394737
Min length9

Characters and Unicode

Total characters3115
Distinct characters109
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

Unique188 ?
Unique (%)98.9%

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 164
21.7%
완산구 164
21.7%
향교길 29
 
3.8%
은행로 27
 
3.6%
최명희길 26
 
3.4%
전주천동로 16
 
2.1%
한지길 14
 
1.8%
오목대길 12
 
1.6%
경기전길 10
 
1.3%
어진길 9
 
1.2%
Other values (239) 286
37.8%
2024-03-14T08:57:58.963075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
567
18.2%
전 192
 
6.2%
주 189
 
6.1%
시 177
 
5.7%
완 172
 
5.5%
산 169
 
5.4%
구 167
 
5.4%
- 136
 
4.4%
길 127
 
4.1%
1 119
 
3.8%
Other values (99) 1100
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1804
57.9%
Decimal Number 608
 
19.5%
Space Separator 567
 
18.2%
Dash Punctuation 136
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 192
 
10.6%
주 189
 
10.5%
시 177
 
9.8%
완 172
 
9.5%
산 169
 
9.4%
구 167
 
9.3%
길 127
 
7.0%
로 63
 
3.5%
은 31
 
1.7%
교 30
 
1.7%
Other values (87) 487
27.0%
Decimal Number
ValueCountFrequency (%)
1 119
19.6%
5 81
13.3%
4 70
11.5%
2 66
10.9%
3 62
10.2%
6 52
8.6%
8 46
 
7.6%
7 45
 
7.4%
9 37
 
6.1%
0 30
 
4.9%
Space Separator
ValueCountFrequency (%)
567
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1804
57.9%
Common 1311
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 192
 
10.6%
주 189
 
10.5%
시 177
 
9.8%
완 172
 
9.5%
산 169
 
9.4%
구 167
 
9.3%
길 127
 
7.0%
로 63
 
3.5%
은 31
 
1.7%
교 30
 
1.7%
Other values (87) 487
27.0%
Common
ValueCountFrequency (%)
567
43.2%
- 136
 
10.4%
1 119
 
9.1%
5 81
 
6.2%
4 70
 
5.3%
2 66
 
5.0%
3 62
 
4.7%
6 52
 
4.0%
8 46
 
3.5%
7 45
 
3.4%
Other values (2) 67
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1804
57.9%
ASCII 1311
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
567
43.2%
- 136
 
10.4%
1 119
 
9.1%
5 81
 
6.2%
4 70
 
5.3%
2 66
 
5.0%
3 62
 
4.7%
6 52
 
4.0%
8 46
 
3.5%
7 45
 
3.4%
Other values (2) 67
 
5.1%
Hangul
ValueCountFrequency (%)
전 192
 
10.6%
주 189
 
10.5%
시 177
 
9.8%
완 172
 
9.5%
산 169
 
9.4%
구 167
 
9.3%
길 127
 
7.0%
로 63
 
3.5%
은 31
 
1.7%
교 30
 
1.7%
Other values (87) 487
27.0%

지번주소
Text

Distinct186
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-03-14T08:57:59.288100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length16.515789
Min length10

Characters and Unicode

Total characters3138
Distinct characters83
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

Unique182 ?
Unique (%)95.8%

Sample

1st row전주시 완산구 교동 105-4
2nd row전주시 완산구 교동 58
3rd row전주시 완산구 풍남동3가 46-1
4th row전주시 완산구 풍남동3가 33-4
5th row전주시 완산구 교동 90
ValueCountFrequency (%)
전주시 164
21.7%
완산구 164
21.7%
교동 80
 
10.6%
풍남동3가 60
 
7.9%
풍남동2가 9
 
1.2%
완주군 8
 
1.1%
김제시 6
 
0.8%
서서학동 4
 
0.5%
정읍시 4
 
0.5%
풍남동1가 4
 
0.5%
Other values (228) 253
33.5%
2024-03-14T08:57:59.710981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
566
18.0%
시 177
 
5.6%
주 174
 
5.5%
완 172
 
5.5%
산 168
 
5.4%
동 167
 
5.3%
구 167
 
5.3%
전 166
 
5.3%
1 159
 
5.1%
- 157
 
5.0%
Other values (73) 1065
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1696
54.0%
Decimal Number 719
22.9%
Space Separator 566
 
18.0%
Dash Punctuation 157
 
5.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 177
10.4%
주 174
10.3%
완 172
10.1%
산 168
9.9%
동 167
9.8%
구 167
9.8%
전 166
9.8%
교 83
 
4.9%
가 78
 
4.6%
남 76
 
4.5%
Other values (61) 268
15.8%
Decimal Number
ValueCountFrequency (%)
1 159
22.1%
3 124
17.2%
2 85
11.8%
4 67
9.3%
5 54
 
7.5%
6 53
 
7.4%
8 49
 
6.8%
0 43
 
6.0%
9 43
 
6.0%
7 42
 
5.8%
Space Separator
ValueCountFrequency (%)
566
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 157
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1696
54.0%
Common 1442
46.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 177
10.4%
주 174
10.3%
완 172
10.1%
산 168
9.9%
동 167
9.8%
구 167
9.8%
전 166
9.8%
교 83
 
4.9%
가 78
 
4.6%
남 76
 
4.5%
Other values (61) 268
15.8%
Common
ValueCountFrequency (%)
566
39.3%
1 159
 
11.0%
- 157
 
10.9%
3 124
 
8.6%
2 85
 
5.9%
4 67
 
4.6%
5 54
 
3.7%
6 53
 
3.7%
8 49
 
3.4%
0 43
 
3.0%
Other values (2) 85
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1696
54.0%
ASCII 1442
46.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
566
39.3%
1 159
 
11.0%
- 157
 
10.9%
3 124
 
8.6%
2 85
 
5.9%
4 67
 
4.6%
5 54
 
3.7%
6 53
 
3.7%
8 49
 
3.4%
0 43
 
3.0%
Other values (2) 85
 
5.9%
Hangul
ValueCountFrequency (%)
시 177
10.4%
주 174
10.3%
완 172
10.1%
산 168
9.9%
동 167
9.8%
구 167
9.8%
전 166
9.8%
교 83
 
4.9%
가 78
 
4.6%
남 76
 
4.5%
Other values (61) 268
15.8%

전화번호
Text

Distinct56
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-03-14T08:57:59.886815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length1
Mean length4.3
Min length1

Characters and Unicode

Total characters817
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

Unique53 ?
Unique (%)27.9%

Sample

1st row063-284-9929
2nd row063-282-4959
3rd row063-286-7673
4th row063-287-6300
5th row063-284-5594
ValueCountFrequency (%)
133
70.0%
063-221-1251 2
 
1.1%
063-290-2606 2
 
1.1%
063-224-9233 1
 
0.5%
063-231-9929 1
 
0.5%
063-287-3500 1
 
0.5%
063-643-1902 1
 
0.5%
063-288-6310 1
 
0.5%
063-284-0983 1
 
0.5%
063-282-8772 1
 
0.5%
Other values (46) 46
 
24.2%
2024-03-14T08:58:00.175814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 247
30.2%
3 102
12.5%
2 95
 
11.6%
6 84
 
10.3%
0 81
 
9.9%
8 60
 
7.3%
7 35
 
4.3%
1 31
 
3.8%
5 29
 
3.5%
9 28
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 570
69.8%
Dash Punctuation 247
30.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 102
17.9%
2 95
16.7%
6 84
14.7%
0 81
14.2%
8 60
10.5%
7 35
 
6.1%
1 31
 
5.4%
5 29
 
5.1%
9 28
 
4.9%
4 25
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 247
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 817
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 247
30.2%
3 102
12.5%
2 95
 
11.6%
6 84
 
10.3%
0 81
 
9.9%
8 60
 
7.3%
7 35
 
4.3%
1 31
 
3.8%
5 29
 
3.5%
9 28
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 817
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 247
30.2%
3 102
12.5%
2 95
 
11.6%
6 84
 
10.3%
0 81
 
9.9%
8 60
 
7.3%
7 35
 
4.3%
1 31
 
3.8%
5 29
 
3.5%
9 28
 
3.4%

객실수
Categorical

Distinct15
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
4
48 
5
37 
3
34 
2
18 
6
17 
Other values (10)
36 

Length

Max length6
Median length1
Mean length1.1105263
Min length1

Unique

Unique3 ?
Unique (%)1.6%

Sample

1st row10
2nd row8
3rd row11
4th row18
5th row7

Common Values

ValueCountFrequency (%)
4 48
25.3%
5 37
19.5%
3 34
17.9%
2 18
 
9.5%
6 17
 
8.9%
7 8
 
4.2%
10 5
 
2.6%
8 5
 
2.6%
1 5
 
2.6%
11 4
 
2.1%
Other values (5) 9
 
4.7%

Length

2024-03-14T08:58:00.338476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
4 48
25.3%
5 37
19.5%
3 34
17.9%
2 18
 
9.5%
6 17
 
8.9%
7 8
 
4.2%
10 5
 
2.6%
8 5
 
2.6%
1 5
 
2.6%
11 4
 
2.1%
Other values (5) 9
 
4.7%

운영테마
Text

Distinct124
Distinct (%)65.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-03-14T08:58:00.554664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length5.5421053
Min length3

Characters and Unicode

Total characters1053
Distinct characters171
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

Unique103 ?
Unique (%)54.2%

Sample

1st row국악,명상차체험
2nd row용채포(한지공예)
3rd row다도체험
4th row음식,국악체험
5th row선춤,선요가,헌매
ValueCountFrequency (%)
다도체험 15
 
7.9%
전통음식 15
 
7.9%
한복체험 7
 
3.7%
전통차체험 6
 
3.2%
한지체험 4
 
2.1%
한지공예 4
 
2.1%
서예체험 4
 
2.1%
음식체험 3
 
1.6%
도예체험 3
 
1.6%
다도,전통예절 3
 
1.6%
Other values (114) 126
66.3%
2024-03-14T08:58:00.915853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
체 97
 
9.2%
험 97
 
9.2%
전 59
 
5.6%
통 56
 
5.3%
, 47
 
4.5%
예 40
 
3.8%
한 38
 
3.6%
도 32
 
3.0%
기 29
 
2.8%
음 27
 
2.6%
Other values (161) 531
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1002
95.2%
Other Punctuation 47
 
4.5%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
체 97
 
9.7%
험 97
 
9.7%
전 59
 
5.9%
통 56
 
5.6%
예 40
 
4.0%
한 38
 
3.8%
도 32
 
3.2%
기 29
 
2.9%
음 27
 
2.7%
공 25
 
2.5%
Other values (158) 502
50.1%
Other Punctuation
ValueCountFrequency (%)
, 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1002
95.2%
Common 51
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
체 97
 
9.7%
험 97
 
9.7%
전 59
 
5.9%
통 56
 
5.6%
예 40
 
4.0%
한 38
 
3.8%
도 32
 
3.2%
기 29
 
2.9%
음 27
 
2.7%
공 25
 
2.5%
Other values (158) 502
50.1%
Common
ValueCountFrequency (%)
, 47
92.2%
) 2
 
3.9%
( 2
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1002
95.2%
ASCII 51
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
체 97
 
9.7%
험 97
 
9.7%
전 59
 
5.9%
통 56
 
5.6%
예 40
 
4.0%
한 38
 
3.8%
도 32
 
3.2%
기 29
 
2.9%
음 27
 
2.7%
공 25
 
2.5%
Other values (158) 502
50.1%
ASCII
ValueCountFrequency (%)
, 47
92.2%
) 2
 
3.9%
( 2
 
3.9%

주차장유무
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
무
162 
유
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무 162
85.3%
유 28
 
14.7%

Length

2024-03-14T08:58:01.037573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T08:58:01.155706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무 162
85.3%
유 28
 
14.7%

관광정보
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct10
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
경기전,전동성당,풍남문
164 
대둔산,송광사
 
8
금산사,벽골제
 
6
내장산
 
4
지리산,둘레길
 
2
Other values (5)
 
6

Length

Max length12
Median length12
Mean length11.284211
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 164
86.3%
대둔산,송광사 8
 
4.2%
금산사,벽골제 6
 
3.2%
내장산 4
 
2.1%
지리산,둘레길 2
 
1.1%
새만금방조제,채석강 2
 
1.1%
광한루,춘향테마파크 1
 
0.5%
마이산 1
 
0.5%
치즈테마파크,사선대 1
 
0.5%
모양성,고인돌공원 1
 
0.5%

Length

2024-03-14T08:58:01.476412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T08:58:01.565881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기전,전동성당,풍남문 164
86.3%
대둔산,송광사 8
 
4.2%
금산사,벽골제 6
 
3.2%
내장산 4
 
2.1%
지리산,둘레길 2
 
1.1%
새만금방조제,채석강 2
 
1.1%
광한루,춘향테마파크 1
 
0.5%
마이산 1
 
0.5%
치즈테마파크,사선대 1
 
0.5%
모양성,고인돌공원 1
 
0.5%

결제방법
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
현금,카드
190 

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 190
100.0%

Length

2024-03-14T08:58:01.683660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T08:58:01.756157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
현금,카드 190
100.0%

홈페이지
Text

Distinct61
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-03-14T08:58:01.910574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length1
Mean length6.3473684
Min length1

Characters and Unicode

Total characters1206
Distinct characters65
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)29.5%

Sample

1st row홈페이지
2nd rowwww.from1908.kr
3rd rowwww.jeonjutour.co.kr
4th rowwww.poongnam.co.kr
5th rowwww.jjhanok.com
ValueCountFrequency (%)
126
66.3%
www.jkhanok.co.kr 2
 
1.1%
www.ilrak.co.kr 2
 
1.1%
www.eodang.co.kr 2
 
1.1%
www.gaindang.co.kr 2
 
1.1%
홈페이지 1
 
0.5%
www.baekryun.co.kr 1
 
0.5%
www.bluec.kr 1
 
0.5%
www.hanok1944.co.kr 1
 
0.5%
www.한옥이야기.kr 1
 
0.5%
Other values (51) 51
26.8%
2024-03-14T08:58:02.214800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 185
15.3%
. 154
12.8%
- 126
10.4%
o 115
 
9.5%
c 63
 
5.2%
k 62
 
5.1%
r 57
 
4.7%
n 55
 
4.6%
a 49
 
4.1%
m 39
 
3.2%
Other values (55) 301
25.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 856
71.0%
Other Punctuation 156
 
12.9%
Dash Punctuation 126
 
10.4%
Other Letter 49
 
4.1%
Decimal Number 19
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 4
 
8.2%
한 4
 
8.2%
옥 4
 
8.2%
마 3
 
6.1%
을 3
 
6.1%
주 3
 
6.1%
전 2
 
4.1%
숙 2
 
4.1%
사 2
 
4.1%
박 2
 
4.1%
Other values (20) 20
40.8%
Lowercase Letter
ValueCountFrequency (%)
w 185
21.6%
o 115
13.4%
c 63
 
7.4%
k 62
 
7.2%
r 57
 
6.7%
n 55
 
6.4%
a 49
 
5.7%
m 39
 
4.6%
h 29
 
3.4%
e 29
 
3.4%
Other values (13) 173
20.2%
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 (%)
. 154
98.7%
, 1
 
0.6%
/ 1
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 126
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 856
71.0%
Common 301
 
25.0%
Hangul 49
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 4
 
8.2%
한 4
 
8.2%
옥 4
 
8.2%
마 3
 
6.1%
을 3
 
6.1%
주 3
 
6.1%
전 2
 
4.1%
숙 2
 
4.1%
사 2
 
4.1%
박 2
 
4.1%
Other values (20) 20
40.8%
Latin
ValueCountFrequency (%)
w 185
21.6%
o 115
13.4%
c 63
 
7.4%
k 62
 
7.2%
r 57
 
6.7%
n 55
 
6.4%
a 49
 
5.7%
m 39
 
4.6%
h 29
 
3.4%
e 29
 
3.4%
Other values (13) 173
20.2%
Common
ValueCountFrequency (%)
. 154
51.2%
- 126
41.9%
1 6
 
2.0%
9 4
 
1.3%
4 3
 
1.0%
8 2
 
0.7%
7 1
 
0.3%
3 1
 
0.3%
2 1
 
0.3%
, 1
 
0.3%
Other values (2) 2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1157
95.9%
Hangul 49
 
4.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 185
16.0%
. 154
13.3%
- 126
10.9%
o 115
9.9%
c 63
 
5.4%
k 62
 
5.4%
r 57
 
4.9%
n 55
 
4.8%
a 49
 
4.2%
m 39
 
3.4%
Other values (25) 252
21.8%
Hangul
ValueCountFrequency (%)
이 4
 
8.2%
한 4
 
8.2%
옥 4
 
8.2%
마 3
 
6.1%
을 3
 
6.1%
주 3
 
6.1%
전 2
 
4.1%
숙 2
 
4.1%
사 2
 
4.1%
박 2
 
4.1%
Other values (20) 20
40.8%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
관광총괄과
190 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광총괄과 190
100.0%

Length

2024-03-14T08:58:02.326350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T08:58:02.407094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광총괄과 190
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
공개
190 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공개 190
100.0%

Length

2024-03-14T08:58:02.528440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T08:58:02.639844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 190
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2015.1
190 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2015.1 190
100.0%

Length

2024-03-14T08:58:02.739970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T08:58:02.837341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015.1 190
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
1년
190 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1년 190
100.0%

Length

2024-03-14T08:58:02.929637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T08:58:03.013607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 190
100.0%

Interactions

2024-03-14T08:57:56.024071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T08:58:03.064597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명전화번호객실수주차장유무관광정보홈페이지
순번1.0000.6380.4140.1530.9700.7580.217
시군명0.6381.0000.7200.6830.8821.0000.000
전화번호0.4140.7201.0000.8150.2510.7940.926
객실수0.1530.6830.8151.0000.3950.6920.101
주차장유무0.9700.8820.2510.3951.0000.9940.000
관광정보0.7581.0000.7940.6920.9941.0000.000
홈페이지0.2170.0000.9260.1010.0000.0001.000
2024-03-14T08:58:03.182860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명주차장유무관광정보객실수
시군명1.0000.9000.9970.353
주차장유무0.9001.0000.9130.348
관광정보0.9970.9131.0000.334
객실수0.3530.3480.3341.000
2024-03-14T08:58:03.281944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명객실수주차장유무관광정보
순번1.0000.3540.0540.8320.326
시군명0.3541.0000.3530.9000.997
객실수0.0540.3531.0000.3480.334
주차장유무0.8320.9000.3481.0000.913
관광정보0.3260.9970.3340.9131.000

Missing values

2024-03-14T08:57:56.155698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T08:57:56.324541image/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

순번시군명시설명운영자도로명주소지번주소전화번호객실수운영테마주차장유무관광정보결제방법홈페이지자료출처공개여부작성일갱신주기
01전주시학인당백광제전주시 완산구 향교길 45전주시 완산구 교동 105-4063-284-992910국악,명상차체험무경기전,전동성당,풍남문현금,카드홈페이지관광총괄과공개2015.11년
12전주시양사재정재민전주시 완산구 오목대길 40전주시 완산구 교동 58063-282-49598용채포(한지공예)무경기전,전동성당,풍남문현금,카드www.from1908.kr관광총괄과공개2015.11년
23전주시풍남헌최영례전주시 완산구 은행로 35전주시 완산구 풍남동3가 46-1063-286-767311다도체험무경기전,전동성당,풍남문현금,카드www.jeonjutour.co.kr관광총괄과공개2015.11년
34전주시한옥생활체험관김창균전주시 완산구 어진길 29전주시 완산구 풍남동3가 33-4063-287-630018음식,국악체험무경기전,전동성당,풍남문현금,카드www.poongnam.co.kr관광총괄과공개2015.11년
45전주시소담원강남훈전주시 완산구 오목대길 70전주시 완산구 교동 90063-284-55947선춤,선요가,헌매무경기전,전동성당,풍남문현금,카드www.jjhanok.com관광총괄과공개2015.11년
56전주시참다원배연식전주시 완산구 향교길 155-9전주시 완산구 교동 16-18063-285-37834다도,전통예절무경기전,전동성당,풍남문현금,카드-관광총괄과공개2015.11년
67전주시부용헌이석재전주시 완산구 향교길 147전주시 완산구 교동 24-11063-284-85879전통예절무경기전,전동성당,풍남문현금,카드-관광총괄과공개2015.11년
78전주시일락당윤춘화전주시 완산구 최명희길 17-5전주시 완산구 풍남동3가 50-1063-284-86615사군자,칠보공예무경기전,전동성당,풍남문현금,카드www.buyongheon.com관광총괄과공개2015.11년
89전주시모련다원정복희전주시 완산구 향교길 82전주시 완산구 교동 137-2063-227-74464한옥생활체험무경기전,전동성당,풍남문현금,카드www.ilrak.co.kr관광총괄과공개2015.11년
910전주시산민재황순배전주시 완산구 향교길 153전주시 완산구 교동 19-1063-283-43323생활예절무경기전,전동성당,풍남문현금,카드-관광총괄과공개2015.11년
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180182완주군신명헌황기정완주군 구이면 장미로 235-26완주군 구이면 안덕리 206063-224-92332전통놀이체험유대둔산,송광사현금,카드-관광총괄과공개2015.11년
181183완주군문희한옥체험임은희완주군 소양면 송광수만로 472-23완주군 소양면 대흥리 371-5전통음식유대둔산,송광사현금,카드-관광총괄과공개2015.11년
182184완주군전통한지생활문화체험관완주군수완주군 소양면 복은길 18-4완주군 소양면 신원리 120063-290-26068한지체험유대둔산,송광사현금,카드-관광총괄과공개2015.11년
183185완주군녹운제정숙이완주군 소양면 송광수만로 472-18완주군 소양면 대흥리 387-1-2(10)붓글씨쓰기유대둔산,송광사현금,카드-관광총괄과공개2015.11년
184186완주군전통문화체험장완주군수완주군 고산면 대아저수로 437완주군 고산면 소향리 158-1063-290-260613(52)그네뛰기,투구등유대둔산,송광사현금,카드-관광총괄과공개2015.11년
185187진안군괴정고택김미옥진안군 주천면 감나무골길 47-8진안군 주천면 주양리 98-9전통음식유마이산현금,카드-관광총괄과공개2015.11년
186188임실군임실필봉농악보존회양진성임실군 강진면 강운로 272임실군 강진면 필봉리 88-1063-643-190212농악체험유치즈테마파크,사선대현금,카드-관광총괄과공개2015.11년
187189고창군고창읍성한옥마을고창군수고창군 고창읍 동리로 128고창군 고창읍 읍내리 120063-563-997711도자기,공예체험유모양성,고인돌공원현금,카드www,pilbong.co.kr관광총괄과공개2015.11년
188190부안군이갑수고택원순연부안군 부안읍 선은2길 5부안군 부안읍 선은리 535-4전통음식유새만금방조제,채석강현금,카드www.고창읍성한옥마을.kr관광총괄과공개2015.11년
189191부안군선은동고택이병훈부안군 부안읍 선은2길 7-5부안군 부안읍 선은리 499-3전통음식유새만금방조제,채석강현금,카드-관광총괄과공개2015.11년