Overview

Dataset statistics

Number of variables13
Number of observations209
Missing cells2
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.0 KiB
Average record size in memory107.6 B

Variable types

Numeric2
Categorical6
Text4
Unsupported1

Alerts

자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
갱신주기 has constant value ""Constant
시군명 is highly overall correlated with 관광정보 and 1 other fieldsHigh correlation
작성일 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 작성일High correlation
시군명 is highly imbalanced (68.6%)Imbalance
관광정보 is highly imbalanced (68.6%)Imbalance
작성일 is highly imbalanced (52.9%)Imbalance
순번 has unique valuesUnique
시설명 has unique valuesUnique
운영자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 01:46:40.293384
Analysis finished2024-03-14 01:46:41.524593
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct209
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105
Minimum1
Maximum209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-14T10:46:41.581162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.4
Q153
median105
Q3157
95-th percentile198.6
Maximum209
Range208
Interquartile range (IQR)104

Descriptive statistics

Standard deviation60.477268
Coefficient of variation (CV)0.57597399
Kurtosis-1.2
Mean105
Median Absolute Deviation (MAD)52
Skewness0
Sum21945
Variance3657.5
MonotonicityStrictly increasing
2024-03-14T10:46:41.686903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
158 1
 
0.5%
134 1
 
0.5%
135 1
 
0.5%
136 1
 
0.5%
137 1
 
0.5%
138 1
 
0.5%
139 1
 
0.5%
140 1
 
0.5%
141 1
 
0.5%
Other values (199) 199
95.2%
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 (%)
209 1
0.5%
208 1
0.5%
207 1
0.5%
206 1
0.5%
205 1
0.5%
204 1
0.5%
203 1
0.5%
202 1
0.5%
201 1
0.5%
200 1
0.5%

시군명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct9
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
전주시
178 
완주군
 
9
남원시
 
6
정읍시
 
5
김제시
 
5
Other values (4)
 
6

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique3 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
전주시 178
85.2%
완주군 9
 
4.3%
남원시 6
 
2.9%
정읍시 5
 
2.4%
김제시 5
 
2.4%
부안군 3
 
1.4%
진안군 1
 
0.5%
임실군 1
 
0.5%
고창군 1
 
0.5%

Length

2024-03-14T10:46:41.782440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:46:41.875923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전주시 178
85.2%
완주군 9
 
4.3%
남원시 6
 
2.9%
정읍시 5
 
2.4%
김제시 5
 
2.4%
부안군 3
 
1.4%
진안군 1
 
0.5%
임실군 1
 
0.5%
고창군 1
 
0.5%

시설명
Text

UNIQUE 

Distinct209
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-03-14T10:46:42.117348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length5.1004785
Min length1

Characters and Unicode

Total characters1066
Distinct characters238
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique209 ?
Unique (%)100.0%

Sample

1st row학 인 당
2nd row양 사 재
3rd row풍 남 헌
4th row한옥생활체험관
5th row소 담 원
ValueCountFrequency (%)
당 14
 
3.7%
헌 11
 
2.9%
재 9
 
2.4%
원 8
 
2.1%
다 7
 
1.9%
고택 6
 
1.6%
사 5
 
1.3%
꽃 4
 
1.1%
인 4
 
1.1%
담 4
 
1.1%
Other values (253) 306
81.0%
2024-03-14T10:46:42.509297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
170
 
15.9%
당 26
 
2.4%
한 25
 
2.3%
옥 23
 
2.2%
가 20
 
1.9%
고 19
 
1.8%
원 16
 
1.5%
이 15
 
1.4%
헌 14
 
1.3%
전 13
 
1.2%
Other values (228) 725
68.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 867
81.3%
Space Separator 170
 
15.9%
Open Punctuation 8
 
0.8%
Close Punctuation 8
 
0.8%
Decimal Number 7
 
0.7%
Other Punctuation 5
 
0.5%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 26
 
3.0%
한 25
 
2.9%
옥 23
 
2.7%
가 20
 
2.3%
고 19
 
2.2%
원 16
 
1.8%
이 15
 
1.7%
헌 14
 
1.6%
전 13
 
1.5%
마 13
 
1.5%
Other values (218) 683
78.8%
Decimal Number
ValueCountFrequency (%)
8 2
28.6%
2 2
28.6%
6 1
14.3%
9 1
14.3%
1 1
14.3%
Space Separator
ValueCountFrequency (%)
170
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%
Other Symbol
ValueCountFrequency (%)
☆ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 866
81.2%
Common 199
 
18.7%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 26
 
3.0%
한 25
 
2.9%
옥 23
 
2.7%
가 20
 
2.3%
고 19
 
2.2%
원 16
 
1.8%
이 15
 
1.7%
헌 14
 
1.6%
전 13
 
1.5%
마 13
 
1.5%
Other values (217) 682
78.8%
Common
ValueCountFrequency (%)
170
85.4%
( 8
 
4.0%
) 8
 
4.0%
. 5
 
2.5%
8 2
 
1.0%
2 2
 
1.0%
☆ 1
 
0.5%
6 1
 
0.5%
9 1
 
0.5%
1 1
 
0.5%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 866
81.2%
ASCII 198
 
18.6%
CJK 1
 
0.1%
Misc Symbols 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
170
85.9%
( 8
 
4.0%
) 8
 
4.0%
. 5
 
2.5%
8 2
 
1.0%
2 2
 
1.0%
6 1
 
0.5%
9 1
 
0.5%
1 1
 
0.5%
Hangul
ValueCountFrequency (%)
당 26
 
3.0%
한 25
 
2.9%
옥 23
 
2.7%
가 20
 
2.3%
고 19
 
2.2%
원 16
 
1.8%
이 15
 
1.7%
헌 14
 
1.6%
전 13
 
1.5%
마 13
 
1.5%
Other values (217) 682
78.8%
CJK
ValueCountFrequency (%)
家 1
100.0%
Misc Symbols
ValueCountFrequency (%)
☆ 1
100.0%

운영자
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size1.8 KiB

도로명주소
Text

Distinct208
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-03-14T10:46:42.849242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length16.368421
Min length9

Characters and Unicode

Total characters3421
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

Unique207 ?
Unique (%)99.0%

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 178
21.4%
완산구 178
21.4%
향교길 34
 
4.1%
최명희길 28
 
3.4%
은행로 28
 
3.4%
한지길 16
 
1.9%
전주천동로 15
 
1.8%
오목대길 12
 
1.4%
경기전길 11
 
1.3%
완주군 9
 
1.1%
Other values (266) 322
38.7%
2024-03-14T10:46:43.335035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
622
18.2%
전 206
 
6.0%
주 203
 
5.9%
시 194
 
5.7%
산 188
 
5.5%
완 188
 
5.5%
구 180
 
5.3%
- 149
 
4.4%
길 141
 
4.1%
1 136
 
4.0%
Other values (102) 1214
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1975
57.7%
Decimal Number 675
 
19.7%
Space Separator 622
 
18.2%
Dash Punctuation 149
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 206
 
10.4%
주 203
 
10.3%
시 194
 
9.8%
산 188
 
9.5%
완 188
 
9.5%
구 180
 
9.1%
길 141
 
7.1%
로 66
 
3.3%
향 34
 
1.7%
교 34
 
1.7%
Other values (90) 541
27.4%
Decimal Number
ValueCountFrequency (%)
1 136
20.1%
5 84
12.4%
2 74
11.0%
4 73
10.8%
3 67
9.9%
6 63
9.3%
7 50
 
7.4%
8 49
 
7.3%
9 45
 
6.7%
0 34
 
5.0%
Space Separator
ValueCountFrequency (%)
622
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 149
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1975
57.7%
Common 1446
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 206
 
10.4%
주 203
 
10.3%
시 194
 
9.8%
산 188
 
9.5%
완 188
 
9.5%
구 180
 
9.1%
길 141
 
7.1%
로 66
 
3.3%
향 34
 
1.7%
교 34
 
1.7%
Other values (90) 541
27.4%
Common
ValueCountFrequency (%)
622
43.0%
- 149
 
10.3%
1 136
 
9.4%
5 84
 
5.8%
2 74
 
5.1%
4 73
 
5.0%
3 67
 
4.6%
6 63
 
4.4%
7 50
 
3.5%
8 49
 
3.4%
Other values (2) 79
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1975
57.7%
ASCII 1446
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
622
43.0%
- 149
 
10.3%
1 136
 
9.4%
5 84
 
5.8%
2 74
 
5.1%
4 73
 
5.0%
3 67
 
4.6%
6 63
 
4.4%
7 50
 
3.5%
8 49
 
3.4%
Other values (2) 79
 
5.5%
Hangul
ValueCountFrequency (%)
전 206
 
10.4%
주 203
 
10.3%
시 194
 
9.8%
산 188
 
9.5%
완 188
 
9.5%
구 180
 
9.1%
길 141
 
7.1%
로 66
 
3.3%
향 34
 
1.7%
교 34
 
1.7%
Other values (90) 541
27.4%

전화번호
Text

Distinct202
Distinct (%)97.6%
Missing2
Missing (%)1.0%
Memory size1.8 KiB
2024-03-14T10:46:43.573035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.792271
Min length8

Characters and Unicode

Total characters2234
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique197 ?
Unique (%)95.2%

Sample

1st row284-9929
2nd row282-4959
3rd row286-7673
4th row287-6301
5th row070-7011-7178
ValueCountFrequency (%)
010-9268-3445 2
 
1.0%
010-2642-7703 2
 
1.0%
010-6337-9091 2
 
1.0%
010-9121-9166 2
 
1.0%
286-4800 2
 
1.0%
010-5001-6375 1
 
0.5%
010-2760-7032 1
 
0.5%
010-3084-6679 1
 
0.5%
010-3624-7926 1
 
0.5%
070-4686-8407 1
 
0.5%
Other values (193) 193
92.8%
2024-03-14T10:46:43.925372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 355
15.9%
- 321
14.4%
1 221
9.9%
2 217
9.7%
8 194
8.7%
3 178
8.0%
7 160
7.2%
5 157
7.0%
6 155
6.9%
9 137
 
6.1%
Other values (3) 139
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1908
85.4%
Dash Punctuation 321
 
14.4%
Other Punctuation 3
 
0.1%
Space Separator 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 355
18.6%
1 221
11.6%
2 217
11.4%
8 194
10.2%
3 178
9.3%
7 160
8.4%
5 157
8.2%
6 155
8.1%
9 137
 
7.2%
4 134
 
7.0%
Dash Punctuation
ValueCountFrequency (%)
- 321
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2234
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 355
15.9%
- 321
14.4%
1 221
9.9%
2 217
9.7%
8 194
8.7%
3 178
8.0%
7 160
7.2%
5 157
7.0%
6 155
6.9%
9 137
 
6.1%
Other values (3) 139
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2234
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 355
15.9%
- 321
14.4%
1 221
9.9%
2 217
9.7%
8 194
8.7%
3 178
8.0%
7 160
7.2%
5 157
7.0%
6 155
6.9%
9 137
 
6.1%
Other values (3) 139
 
6.2%

객실수
Real number (ℝ)

Distinct16
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0382775
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-14T10:46:44.027727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q36
95-th percentile11
Maximum24
Range23
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.1330234
Coefficient of variation (CV)0.62184415
Kurtosis12.434573
Mean5.0382775
Median Absolute Deviation (MAD)1
Skewness2.8167693
Sum1053
Variance9.8158355
MonotonicityNot monotonic
2024-03-14T10:46:44.112254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
4 47
22.5%
5 45
21.5%
3 38
18.2%
2 21
10.0%
6 16
 
7.7%
7 10
 
4.8%
9 6
 
2.9%
8 6
 
2.9%
11 5
 
2.4%
1 4
 
1.9%
Other values (6) 11
 
5.3%
ValueCountFrequency (%)
1 4
 
1.9%
2 21
10.0%
3 38
18.2%
4 47
22.5%
5 45
21.5%
6 16
 
7.7%
7 10
 
4.8%
8 6
 
2.9%
9 6
 
2.9%
10 3
 
1.4%
ValueCountFrequency (%)
24 2
 
1.0%
15 1
 
0.5%
14 1
 
0.5%
13 2
 
1.0%
12 2
 
1.0%
11 5
2.4%
10 3
 
1.4%
9 6
2.9%
8 6
2.9%
7 10
4.8%

운영테마
Text

Distinct152
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-03-14T10:46:44.348781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length7.7655502
Min length2

Characters and Unicode

Total characters1623
Distinct characters191
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)61.7%

Sample

1st row국악, 명상차체험, 한옥생활체험
2nd row용채포(한지공예), 한옥생활체험
3rd row다도, 녹차만들기, 한옥생활체험
4th row음식, 국악체험, 한옥생활체험
5th row선춤, 선요가, 헌배, 한옥생활체험
ValueCountFrequency (%)
한옥생활체험 26
 
8.0%
다도체험 16
 
4.9%
전통음식 15
 
4.6%
한복체험 11
 
3.4%
체험 11
 
3.4%
및 8
 
2.5%
한지공예 6
 
1.9%
윷놀이 5
 
1.5%
전통차체험 4
 
1.2%
한지체험 4
 
1.2%
Other values (172) 218
67.3%
2024-03-14T10:46:44.733550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
체 151
 
9.3%
험 151
 
9.3%
115
 
7.1%
, 93
 
5.7%
한 70
 
4.3%
전 59
 
3.6%
통 55
 
3.4%
예 47
 
2.9%
기 45
 
2.8%
도 32
 
2.0%
Other values (181) 805
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1406
86.6%
Space Separator 115
 
7.1%
Other Punctuation 96
 
5.9%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
체 151
 
10.7%
험 151
 
10.7%
한 70
 
5.0%
전 59
 
4.2%
통 55
 
3.9%
예 47
 
3.3%
기 45
 
3.2%
도 32
 
2.3%
생 30
 
2.1%
활 30
 
2.1%
Other values (175) 736
52.3%
Other Punctuation
ValueCountFrequency (%)
, 93
96.9%
? 2
 
2.1%
· 1
 
1.0%
Space Separator
ValueCountFrequency (%)
115
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1406
86.6%
Common 217
 
13.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
체 151
 
10.7%
험 151
 
10.7%
한 70
 
5.0%
전 59
 
4.2%
통 55
 
3.9%
예 47
 
3.3%
기 45
 
3.2%
도 32
 
2.3%
생 30
 
2.1%
활 30
 
2.1%
Other values (175) 736
52.3%
Common
ValueCountFrequency (%)
115
53.0%
, 93
42.9%
( 3
 
1.4%
) 3
 
1.4%
? 2
 
0.9%
· 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1406
86.6%
ASCII 216
 
13.3%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
체 151
 
10.7%
험 151
 
10.7%
한 70
 
5.0%
전 59
 
4.2%
통 55
 
3.9%
예 47
 
3.3%
기 45
 
3.2%
도 32
 
2.3%
생 30
 
2.1%
활 30
 
2.1%
Other values (175) 736
52.3%
ASCII
ValueCountFrequency (%)
115
53.2%
, 93
43.1%
( 3
 
1.4%
) 3
 
1.4%
? 2
 
0.9%
None
ValueCountFrequency (%)
· 1
100.0%

관광정보
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct9
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
경기전,전동성당,풍남문
178 
대둔산, 고산자연휴양림
 
9
지리산, 춘향테마파크
 
6
내장사, 황토현전적지
 
5
금산사, 벽골제농경박물관
 
5
Other values (4)
 
6

Length

Max length13
Median length12
Mean length11.91866
Min length9

Unique

Unique3 ?
Unique (%)1.4%

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 178
85.2%
대둔산, 고산자연휴양림 9
 
4.3%
지리산, 춘향테마파크 6
 
2.9%
내장사, 황토현전적지 5
 
2.4%
금산사, 벽골제농경박물관 5
 
2.4%
새만금방조제,채석강 3
 
1.4%
마이산. 홍삼스파 1
 
0.5%
치즈테마파크,사선대 1
 
0.5%
고창모양읍성, 운곡습지 1
 
0.5%

Length

2024-03-14T10:46:44.860021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:46:44.998328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기전,전동성당,풍남문 178
75.4%
대둔산 9
 
3.8%
고산자연휴양림 9
 
3.8%
지리산 6
 
2.5%
춘향테마파크 6
 
2.5%
내장사 5
 
2.1%
황토현전적지 5
 
2.1%
금산사 5
 
2.1%
벽골제농경박물관 5
 
2.1%
새만금방조제,채석강 3
 
1.3%
Other values (5) 5
 
2.1%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
관광총괄과
209 

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 209
100.0%

Length

2024-03-14T10:46:45.125992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:46:45.224107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광총괄과 209
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
공개
209 

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 209
100.0%

Length

2024-03-14T10:46:45.333605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:46:45.416234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 209
100.0%

작성일
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2015.1
188 
2016.07
21 

Length

Max length7
Median length6
Mean length6.1004785
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 (%)
2015.1 188
90.0%
2016.07 21
 
10.0%

Length

2024-03-14T10:46:45.498903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:46:45.588021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015.1 188
90.0%
2016.07 21
 
10.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
1년
209 

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 209
100.0%

Length

2024-03-14T10:46:45.669313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:46:45.740386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 209
100.0%

Interactions

2024-03-14T10:46:40.913977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T10:46:40.736799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T10:46:40.991331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T10:46:40.825567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T10:46:45.790476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명객실수관광정보작성일
순번1.0000.6500.3020.6501.000
시군명0.6501.0000.7021.0000.938
객실수0.3020.7021.0000.7020.549
관광정보0.6501.0000.7021.0000.938
작성일1.0000.9380.5490.9381.000
2024-03-14T10:46:45.883887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명작성일관광정보
시군명1.0000.9601.000
작성일0.9601.0000.960
관광정보1.0000.9601.000
2024-03-14T10:46:45.961207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번객실수시군명관광정보작성일
순번1.0000.0330.3640.3640.980
객실수0.0331.0000.4400.4400.408
시군명0.3640.4401.0001.0000.960
관광정보0.3640.4401.0001.0000.960
작성일0.9800.4080.9600.9601.000

Missing values

2024-03-14T10:46:41.344640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:46:41.473622image/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

순번시군명시설명운영자도로명주소전화번호객실수운영테마관광정보자료출처공개여부작성일갱신주기
01전주시학 인 당백광제전주시 완산구 향교길 45284-99297국악, 명상차체험, 한옥생활체험경기전,전동성당,풍남문관광총괄과공개2015.11년
12전주시양 사 재정재민전주시 완산구 오목대길 40282-49598용채포(한지공예), 한옥생활체험경기전,전동성당,풍남문관광총괄과공개2015.11년
23전주시풍 남 헌최영례전주시 완산구 은행로 35286-767311다도, 녹차만들기, 한옥생활체험경기전,전동성당,풍남문관광총괄과공개2015.11년
34전주시한옥생활체험관김창균전주시 완산구 어진길 29287-63019음식, 국악체험, 한옥생활체험경기전,전동성당,풍남문관광총괄과공개2015.11년
45전주시소 담 원김남훈전주시 완산구 오목대길 70070-7011-71787선춤, 선요가, 헌배, 한옥생활체험경기전,전동성당,풍남문관광총괄과공개2015.11년
56전주시참 다 원배연석전주시 완산구 향교길 155-9285-37834다도, 전통예절교육, 한옥생활체험경기전,전동성당,풍남문관광총괄과공개2015.11년
67전주시부 용 헌이석재전주시 완산구 향교길 149-3284-85879전통예절 체험, 한옥생활체험경기전,전동성당,풍남문관광총괄과공개2015.11년
78전주시일 락 당윤춘화전주시 완산구 최명희길 17-5284-86615사군자, 칠보공에, 한옥생활체험경기전,전동성당,풍남문관광총괄과공개2015.11년
89전주시모련 다원정복희전주시 완산구 향교길 82285-34004한옥생활체험경기전,전동성당,풍남문관광총괄과공개2015.11년
910전주시산 민 재황순배전주시 완산구 향교길 153283-43323절배우기,생활예절, 사자소학낭독 및 서예경기전,전동성당,풍남문관광총괄과공개2015.11년
순번시군명시설명운영자도로명주소전화번호객실수운영테마관광정보자료출처공개여부작성일갱신주기
199200완주군전통한지생활문화체험관완주군수완주군 소양면 복은길 18-4290-20948한지체험대둔산, 고산자연휴양림관광총괄과공개2016.071년
200201완주군녹운제정숙이완주군 소양면 송광수만로 472-18010-3150-01512붓글씨쓰기대둔산, 고산자연휴양림관광총괄과공개2016.071년
201202완주군전통문화체험장완주군수완주군 고산면 대아저수로 392290-259611그네뛰기, 투구 등대둔산, 고산자연휴양림관광총괄과공개2016.071년
202203완주군청풍헌서금주완주군 고산면 동봉길 20-6010-4660-99983압화체험대둔산, 고산자연휴양림관광총괄과공개2016.071년
203204진안군괴정고택김미옥진안군 주천면 감나무골길 47-8432-653713전통음식마이산. 홍삼스파관광총괄과공개2016.071년
204205임실군임실필봉 농악보존회양진성임실군 강진면 강운로 272643-1902, 290124농악체험치즈테마파크,사선대관광총괄과공개2016.071년
205206고창군고창읍성한옥마을고창군수고창군 고창읍 동리로 128563-997711도자기, 공예체험고창모양읍성, 운곡습지관광총괄과공개2016.071년
206207부안군이연재(구.이갑수 고택)원순연부안군 부안읍 선은2길 5583-20943전통음식새만금방조제,채석강관광총괄과공개2016.071년
207208부안군선은동 고택이병훈부안군 부안읍 선은2길 7-5584-22722전통음식새만금방조제,채석강관광총괄과공개2016.071년
208209부안군나비의꿈박병우부안군 진서면 내소사로 129582-765115민속놀이 체험새만금방조제,채석강관광총괄과공개2016.071년