Overview

Dataset statistics

Number of variables28
Number of observations37
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.4 KiB
Average record size in memory232.6 B

Variable types

Numeric3
Categorical20
Text5

Alerts

데이터기준 has constant value ""Constant
자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
종료하절기 is highly imbalanced (63.3%)Imbalance
가능외국어 is highly imbalanced (67.2%)Imbalance
순번 has unique valuesUnique
관광안내소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 01:03:25.302659
Analysis finished2024-03-14 01:03:25.631207
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-03-14T10:03:25.680127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.8
Q110
median19
Q328
95-th percentile35.2
Maximum37
Range36
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.824355
Coefficient of variation (CV)0.56970291
Kurtosis-1.2
Mean19
Median Absolute Deviation (MAD)9
Skewness0
Sum703
Variance117.16667
MonotonicityStrictly increasing
2024-03-14T10:03:25.777924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1 1
 
2.7%
29 1
 
2.7%
22 1
 
2.7%
23 1
 
2.7%
24 1
 
2.7%
25 1
 
2.7%
26 1
 
2.7%
27 1
 
2.7%
28 1
 
2.7%
30 1
 
2.7%
Other values (27) 27
73.0%
ValueCountFrequency (%)
1 1
2.7%
2 1
2.7%
3 1
2.7%
4 1
2.7%
5 1
2.7%
6 1
2.7%
7 1
2.7%
8 1
2.7%
9 1
2.7%
10 1
2.7%
ValueCountFrequency (%)
37 1
2.7%
36 1
2.7%
35 1
2.7%
34 1
2.7%
33 1
2.7%
32 1
2.7%
31 1
2.7%
30 1
2.7%
29 1
2.7%
28 1
2.7%

시군명
Categorical

Distinct11
Distinct (%)29.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
남원시
8 
고창군
6 
전주시
5 
익산시
4 
부안군
3 
Other values (6)
11 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
남원시 8
21.6%
고창군 6
16.2%
전주시 5
13.5%
익산시 4
10.8%
부안군 3
 
8.1%
정읍시 2
 
5.4%
김제시 2
 
5.4%
진안군 2
 
5.4%
무주군 2
 
5.4%
장수군 2
 
5.4%

Length

2024-03-14T10:03:25.886706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남원시 8
21.6%
고창군 6
16.2%
전주시 5
13.5%
익산시 4
10.8%
부안군 3
 
8.1%
정읍시 2
 
5.4%
김제시 2
 
5.4%
진안군 2
 
5.4%
무주군 2
 
5.4%
장수군 2
 
5.4%

관광안내소
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-03-14T10:03:26.089844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length7.8918919
Min length3

Characters and Unicode

Total characters292
Distinct characters95
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

Unique37 ?
Unique (%)100.0%

Sample

1st row전주역 관광안내소
2nd row고속터미널 관광안내소
3rd row한옥마을 관광안내소
4th row경기전 관광안내소
5th row오목대 관광안내소
ValueCountFrequency (%)
관광안내소 5
 
11.4%
종합관광안내소 2
 
4.5%
모악산관광안내소 1
 
2.3%
벽골제관광안내소 1
 
2.3%
마이산관광안내소(남부 1
 
2.3%
마이산관광안내소(북부 1
 
2.3%
무주군청 1
 
2.3%
만남의광장 1
 
2.3%
논개생가 1
 
2.3%
논개사당 1
 
2.3%
Other values (29) 29
65.9%
2024-03-14T10:03:26.375674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
내 31
 
10.6%
안 30
 
10.3%
소 29
 
9.9%
관 22
 
7.5%
광 20
 
6.8%
7
 
2.4%
산 6
 
2.1%
합 5
 
1.7%
종 5
 
1.7%
( 4
 
1.4%
Other values (85) 133
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 277
94.9%
Space Separator 7
 
2.4%
Open Punctuation 4
 
1.4%
Close Punctuation 4
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
내 31
 
11.2%
안 30
 
10.8%
소 29
 
10.5%
관 22
 
7.9%
광 20
 
7.2%
산 6
 
2.2%
합 5
 
1.8%
종 5
 
1.8%
마 4
 
1.4%
읍 3
 
1.1%
Other values (82) 122
44.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 277
94.9%
Common 15
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
내 31
 
11.2%
안 30
 
10.8%
소 29
 
10.5%
관 22
 
7.9%
광 20
 
7.2%
산 6
 
2.2%
합 5
 
1.8%
종 5
 
1.8%
마 4
 
1.4%
읍 3
 
1.1%
Other values (82) 122
44.0%
Common
ValueCountFrequency (%)
7
46.7%
( 4
26.7%
) 4
26.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 277
94.9%
ASCII 15
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
내 31
 
11.2%
안 30
 
10.8%
소 29
 
10.5%
관 22
 
7.9%
광 20
 
7.2%
산 6
 
2.2%
합 5
 
1.8%
종 5
 
1.8%
마 4
 
1.4%
읍 3
 
1.1%
Other values (82) 122
44.0%
ASCII
ValueCountFrequency (%)
7
46.7%
( 4
26.7%
) 4
26.7%

안내소위치
Text

Distinct34
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-03-14T10:03:26.562915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length8.1351351
Min length1

Characters and Unicode

Total characters301
Distinct characters104
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)83.8%

Sample

1st row전주역 옆
2nd row고속터미널 옆
3rd row공영주차장 옆
4th row경기전 앞
5th row태조로쉼터 앞
ValueCountFrequency (%)
남원시 6
 
7.6%
고창군 6
 
7.6%
내 5
 
6.3%
앞 4
 
5.1%
고창읍 3
 
3.8%
옆 3
 
3.8%
2
 
2.5%
읍내리 2
 
2.5%
남원관광지(양림단지 2
 
2.5%
요천로 2
 
2.5%
Other values (44) 44
55.7%
2024-03-14T10:03:26.871588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
 
14.0%
내 12
 
4.0%
고 10
 
3.3%
창 9
 
3.0%
남 9
 
3.0%
원 8
 
2.7%
읍 7
 
2.3%
시 7
 
2.3%
군 7
 
2.3%
장 7
 
2.3%
Other values (94) 183
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 227
75.4%
Space Separator 42
 
14.0%
Decimal Number 20
 
6.6%
Dash Punctuation 4
 
1.3%
Uppercase Letter 4
 
1.3%
Open Punctuation 2
 
0.7%
Close Punctuation 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
내 12
 
5.3%
고 10
 
4.4%
창 9
 
4.0%
남 9
 
4.0%
원 8
 
3.5%
읍 7
 
3.1%
시 7
 
3.1%
군 7
 
3.1%
장 7
 
3.1%
앞 6
 
2.6%
Other values (79) 145
63.9%
Decimal Number
ValueCountFrequency (%)
1 5
25.0%
6 3
15.0%
2 3
15.0%
3 2
 
10.0%
7 2
 
10.0%
4 2
 
10.0%
5 1
 
5.0%
9 1
 
5.0%
8 1
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
50.0%
I 2
50.0%
Space Separator
ValueCountFrequency (%)
42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 227
75.4%
Common 70
 
23.3%
Latin 4
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
내 12
 
5.3%
고 10
 
4.4%
창 9
 
4.0%
남 9
 
4.0%
원 8
 
3.5%
읍 7
 
3.1%
시 7
 
3.1%
군 7
 
3.1%
장 7
 
3.1%
앞 6
 
2.6%
Other values (79) 145
63.9%
Common
ValueCountFrequency (%)
42
60.0%
1 5
 
7.1%
- 4
 
5.7%
6 3
 
4.3%
2 3
 
4.3%
3 2
 
2.9%
( 2
 
2.9%
7 2
 
2.9%
4 2
 
2.9%
) 2
 
2.9%
Other values (3) 3
 
4.3%
Latin
ValueCountFrequency (%)
C 2
50.0%
I 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 227
75.4%
ASCII 74
 
24.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42
56.8%
1 5
 
6.8%
- 4
 
5.4%
6 3
 
4.1%
2 3
 
4.1%
C 2
 
2.7%
3 2
 
2.7%
( 2
 
2.7%
7 2
 
2.7%
I 2
 
2.7%
Other values (5) 7
 
9.5%
Hangul
ValueCountFrequency (%)
내 12
 
5.3%
고 10
 
4.4%
창 9
 
4.0%
남 9
 
4.0%
원 8
 
3.5%
읍 7
 
3.1%
시 7
 
3.1%
군 7
 
3.1%
장 7
 
3.1%
앞 6
 
2.6%
Other values (79) 145
63.9%

안내소소개
Categorical

Distinct16
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Memory size428.0 B
-
16 
관광정보,안내
5 
관광해설 및 통역
2 
무주군 관광 안내 및 해설
2 
관광정보, 농특산품 홍보안내
 
1
Other values (11)
11 

Length

Max length33
Median length32
Mean length7.1081081
Min length1

Unique

Unique12 ?
Unique (%)32.4%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 16
43.2%
관광정보,안내 5
 
13.5%
관광해설 및 통역 2
 
5.4%
무주군 관광 안내 및 해설 2
 
5.4%
관광정보, 농특산품 홍보안내 1
 
2.7%
모악산 도립공원 등산 정보 및 대중교통 안내, 김제 관광안내 1
 
2.7%
벽골제관광지 시설물 안내 및 대중교통 안내, 김제 관광안내 1
 
2.7%
논개생가 1
 
2.7%
논개사당 1
 
2.7%
순창군 관광 홍보 및 안내를 도와주는 문화관광해설사 근무 1
 
2.7%
Other values (6) 6
 
16.2%

Length

2024-03-14T10:03:26.980699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
16
20.5%
및 7
 
9.0%
관련 5
 
6.4%
관광정보,안내 5
 
6.4%
안내 5
 
6.4%
관광 3
 
3.8%
대중교통 2
 
2.6%
김제 2
 
2.6%
관광안내 2
 
2.6%
관광해설 2
 
2.6%
Other values (26) 29
37.2%

부가서비스
Categorical

Distinct8
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Memory size428.0 B
-
26 
휠체어
3 
휴대폰 충전
 
2
휠체어대여,유모차대여
 
2
휠체어 대여, 유모차 대여
 
1
Other values (3)
3 

Length

Max length18
Median length1
Mean length3.1891892
Min length1

Unique

Unique4 ?
Unique (%)10.8%

Sample

1st row-
2nd row-
3rd row휠체어 대여, 유모차 대여
4th row-
5th row휠체어 대여

Common Values

ValueCountFrequency (%)
- 26
70.3%
휠체어 3
 
8.1%
휴대폰 충전 2
 
5.4%
휠체어대여,유모차대여 2
 
5.4%
휠체어 대여, 유모차 대여 1
 
2.7%
휠체어 대여 1
 
2.7%
휠체어.유모차 대여, 핸드폰 충전 1
 
2.7%
휠체어. 유모차 대여 1
 
2.7%

Length

2024-03-14T10:03:27.078137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:03:27.198745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
26
54.2%
휠체어 6
 
12.5%
대여 5
 
10.4%
충전 3
 
6.2%
휴대폰 2
 
4.2%
휠체어대여,유모차대여 2
 
4.2%
유모차 2
 
4.2%
휠체어.유모차 1
 
2.1%
핸드폰 1
 
2.1%

휴무일
Categorical

Distinct9
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Memory size428.0 B
연중무휴
12 
명절당일하루
8 
월요일
6 
월
3 
1월 1일
2 
Other values (4)
6 

Length

Max length8
Median length7
Mean length4.4864865
Min length1

Unique

Unique2 ?
Unique (%)5.4%

Sample

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

Common Values

ValueCountFrequency (%)
연중무휴 12
32.4%
명절당일하루 8
21.6%
월요일 6
16.2%
월 3
 
8.1%
1월 1일 2
 
5.4%
설날, 추석당일 2
 
5.4%
명절 당일 2
 
5.4%
토,일,공휴일 1
 
2.7%
설날, 추석 1
 
2.7%

Length

2024-03-14T10:03:27.418762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:03:27.528798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
연중무휴 12
27.3%
명절당일하루 8
18.2%
월요일 6
13.6%
월 3
 
6.8%
설날 3
 
6.8%
1월 2
 
4.5%
1일 2
 
4.5%
추석당일 2
 
4.5%
명절 2
 
4.5%
당일 2
 
4.5%
Other values (2) 2
 
4.5%

시작하절기
Categorical

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
09:00
27 
10:00
9 
-
 
1

Length

Max length5
Median length5
Mean length4.8918919
Min length1

Unique

Unique1 ?
Unique (%)2.7%

Sample

1st row09:00
2nd row09:00
3rd row09:00
4th row09:00
5th row09:00

Common Values

ValueCountFrequency (%)
09:00 27
73.0%
10:00 9
 
24.3%
- 1
 
2.7%

Length

2024-03-14T10:03:27.636672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:03:27.730098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00 27
73.0%
10:00 9
 
24.3%
1
 
2.7%

종료하절기
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
18:00
33 
17:00
 
3
-
 
1

Length

Max length5
Median length5
Mean length4.8918919
Min length1

Unique

Unique1 ?
Unique (%)2.7%

Sample

1st row18:00
2nd row18:00
3rd row18:00
4th row18:00
5th row18:00

Common Values

ValueCountFrequency (%)
18:00 33
89.2%
17:00 3
 
8.1%
- 1
 
2.7%

Length

2024-03-14T10:03:27.824834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:03:27.919598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18:00 33
89.2%
17:00 3
 
8.1%
1
 
2.7%

시작동절기
Categorical

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
09:00
27 
10:00
9 
-
 
1

Length

Max length5
Median length5
Mean length4.8918919
Min length1

Unique

Unique1 ?
Unique (%)2.7%

Sample

1st row09:00
2nd row09:00
3rd row09:00
4th row09:00
5th row09:00

Common Values

ValueCountFrequency (%)
09:00 27
73.0%
10:00 9
 
24.3%
- 1
 
2.7%

Length

2024-03-14T10:03:28.009456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:03:28.102945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00 27
73.0%
10:00 9
 
24.3%
1
 
2.7%

종료동절기
Categorical

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
18:00
27 
17:00
9 
-
 
1

Length

Max length5
Median length5
Mean length4.8918919
Min length1

Unique

Unique1 ?
Unique (%)2.7%

Sample

1st row18:00
2nd row18:00
3rd row18:00
4th row18:00
5th row18:00

Common Values

ValueCountFrequency (%)
18:00 27
73.0%
17:00 9
 
24.3%
- 1
 
2.7%

Length

2024-03-14T10:03:28.206709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:03:28.302092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18:00 27
73.0%
17:00 9
 
24.3%
1
 
2.7%

평균인원수
Categorical

Distinct5
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size428.0 B
0
12 
2
10 
3
10 
5
3 
1
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
0 12
32.4%
2 10
27.0%
3 10
27.0%
5 3
 
8.1%
1 2
 
5.4%

Length

2024-03-14T10:03:28.385527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:03:28.483330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 12
32.4%
2 10
27.0%
3 10
27.0%
5 3
 
8.1%
1 2
 
5.4%

영어안내
Categorical

Distinct4
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size428.0 B
Y
15 
-
14 
N
6 
Y(예약시)
2 

Length

Max length6
Median length1
Mean length1.2702703
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Y 15
40.5%
- 14
37.8%
N 6
 
16.2%
Y(예약시) 2
 
5.4%

Length

2024-03-14T10:03:28.597577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:03:28.690275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 15
40.5%
14
37.8%
n 6
 
16.2%
y(예약시 2
 
5.4%

일본어안내
Categorical

Distinct4
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size428.0 B
-
15 
Y
13 
N
7 
Y(예약시)
2 

Length

Max length6
Median length1
Mean length1.2702703
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
- 15
40.5%
Y 13
35.1%
N 7
18.9%
Y(예약시) 2
 
5.4%

Length

2024-03-14T10:03:28.828913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:03:28.918426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
15
40.5%
y 13
35.1%
n 7
18.9%
y(예약시 2
 
5.4%

중국어안내
Categorical

Distinct4
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size428.0 B
-
16 
Y
11 
N
8 
Y(예약시)
2 

Length

Max length6
Median length1
Mean length1.2702703
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowN
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
- 16
43.2%
Y 11
29.7%
N 8
21.6%
Y(예약시) 2
 
5.4%

Length

2024-03-14T10:03:29.016200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:03:29.099564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
16
43.2%
y 11
29.7%
n 8
21.6%
y(예약시 2
 
5.4%

가능외국어
Categorical

IMBALANCE 

Distinct4
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size428.0 B
-
33 
일어
 
2
불어
 
1
영어
 
1

Length

Max length2
Median length1
Mean length1.1081081
Min length1

Unique

Unique2 ?
Unique (%)5.4%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 33
89.2%
일어 2
 
5.4%
불어 1
 
2.7%
영어 1
 
2.7%

Length

2024-03-14T10:03:29.193445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:03:29.284509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
33
89.2%
일어 2
 
5.4%
불어 1
 
2.7%
영어 1
 
2.7%

전화번호
Text

Distinct34
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-03-14T10:03:29.467604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.837838
Min length9

Characters and Unicode

Total characters438
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

Unique31 ?
Unique (%)83.8%

Sample

1st row063-281-2024
2nd row063-281-2739
3rd row063-282-1330
4th row063-287-1330
5th row063-282-1335
ValueCountFrequency (%)
1899-8687 2
 
5.4%
063-560-8063 2
 
5.4%
063-620-1330 2
 
5.4%
063-281-2024 1
 
2.7%
063-650-1674 1
 
2.7%
063-430-2651 1
 
2.7%
063-433-2652 1
 
2.7%
063-350-2583 1
 
2.7%
063-350-2561 1
 
2.7%
063-620-6788 1
 
2.7%
Other values (24) 24
64.9%
2024-03-14T10:03:29.836913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 72
16.4%
6 71
16.2%
3 69
15.8%
0 68
15.5%
8 34
7.8%
5 34
7.8%
2 27
 
6.2%
1 19
 
4.3%
7 16
 
3.7%
4 15
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 366
83.6%
Dash Punctuation 72
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 71
19.4%
3 69
18.9%
0 68
18.6%
8 34
9.3%
5 34
9.3%
2 27
 
7.4%
1 19
 
5.2%
7 16
 
4.4%
4 15
 
4.1%
9 13
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 438
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 72
16.4%
6 71
16.2%
3 69
15.8%
0 68
15.5%
8 34
7.8%
5 34
7.8%
2 27
 
6.2%
1 19
 
4.3%
7 16
 
3.7%
4 15
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 438
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 72
16.4%
6 71
16.2%
3 69
15.8%
0 68
15.5%
8 34
7.8%
5 34
7.8%
2 27
 
6.2%
1 19
 
4.3%
7 16
 
3.7%
4 15
 
3.4%

도로명주소
Text

Distinct34
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-03-14T10:03:30.059829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length14.459459
Min length1

Characters and Unicode

Total characters535
Distinct characters103
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)83.8%

Sample

1st row전주시 덕진구 동부대로 680
2nd row전주시 덕진구 전주천동로 470
3rd row전주시 완산구 기린대로 99
4th row전주시 완산구 태조로 44
5th row전주시 완산구 태조로 6
ValueCountFrequency (%)
남원시 8
 
5.8%
고창군 6
 
4.3%
전주시 5
 
3.6%
고창읍 4
 
2.9%
익산시 4
 
2.9%
부안군 3
 
2.2%
완산구 3
 
2.2%
6 2
 
1.4%
김제시 2
 
1.4%
요천로 2
 
1.4%
Other values (85) 100
71.9%
2024-03-14T10:03:30.408168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
102
 
19.1%
로 29
 
5.4%
시 20
 
3.7%
산 17
 
3.2%
면 16
 
3.0%
군 16
 
3.0%
1 15
 
2.8%
4 14
 
2.6%
주 13
 
2.4%
고 11
 
2.1%
Other values (93) 282
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 329
61.5%
Space Separator 102
 
19.1%
Decimal Number 97
 
18.1%
Dash Punctuation 5
 
0.9%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 29
 
8.8%
시 20
 
6.1%
산 17
 
5.2%
면 16
 
4.9%
군 16
 
4.9%
주 13
 
4.0%
고 11
 
3.3%
창 11
 
3.3%
원 9
 
2.7%
읍 9
 
2.7%
Other values (79) 178
54.1%
Decimal Number
ValueCountFrequency (%)
1 15
15.5%
4 14
14.4%
5 11
11.3%
6 10
10.3%
9 9
9.3%
0 9
9.3%
8 8
8.2%
7 8
8.2%
2 7
7.2%
3 6
 
6.2%
Space Separator
ValueCountFrequency (%)
102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 329
61.5%
Common 206
38.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 29
 
8.8%
시 20
 
6.1%
산 17
 
5.2%
면 16
 
4.9%
군 16
 
4.9%
주 13
 
4.0%
고 11
 
3.3%
창 11
 
3.3%
원 9
 
2.7%
읍 9
 
2.7%
Other values (79) 178
54.1%
Common
ValueCountFrequency (%)
102
49.5%
1 15
 
7.3%
4 14
 
6.8%
5 11
 
5.3%
6 10
 
4.9%
9 9
 
4.4%
0 9
 
4.4%
8 8
 
3.9%
7 8
 
3.9%
2 7
 
3.4%
Other values (4) 13
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 329
61.5%
ASCII 206
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
102
49.5%
1 15
 
7.3%
4 14
 
6.8%
5 11
 
5.3%
6 10
 
4.9%
9 9
 
4.4%
0 9
 
4.4%
8 8
 
3.9%
7 8
 
3.9%
2 7
 
3.4%
Other values (4) 13
 
6.3%
Hangul
ValueCountFrequency (%)
로 29
 
8.8%
시 20
 
6.1%
산 17
 
5.2%
면 16
 
4.9%
군 16
 
4.9%
주 13
 
4.0%
고 11
 
3.3%
창 11
 
3.3%
원 9
 
2.7%
읍 9
 
2.7%
Other values (79) 178
54.1%

지번주소
Text

Distinct34
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-03-14T10:03:30.651234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length15.459459
Min length11

Characters and Unicode

Total characters572
Distinct characters87
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

Unique31 ?
Unique (%)83.8%

Sample

1st row전주시 덕진구 우아동3가 235
2nd row전주시 덕진구 금암동 767-2
3rd row전주시 완산구 남노송동 100-1
4th row전주시 완산구 풍남동3가 102
5th row전주시 완산구 풍남동3가 15-11
ValueCountFrequency (%)
남원시 8
 
5.7%
고창군 6
 
4.3%
전주시 5
 
3.5%
익산시 4
 
2.8%
고창읍 4
 
2.8%
읍내리 4
 
2.8%
완산구 3
 
2.1%
부안군 3
 
2.1%
무주읍 2
 
1.4%
어현동 2
 
1.4%
Other values (85) 100
70.9%
2024-03-14T10:03:31.025487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
104
 
18.2%
1 35
 
6.1%
리 24
 
4.2%
시 21
 
3.7%
- 20
 
3.5%
3 17
 
3.0%
산 16
 
2.8%
동 16
 
2.8%
군 16
 
2.8%
면 16
 
2.8%
Other values (77) 287
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 315
55.1%
Decimal Number 133
23.3%
Space Separator 104
 
18.2%
Dash Punctuation 20
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 24
 
7.6%
시 21
 
6.7%
산 16
 
5.1%
동 16
 
5.1%
군 16
 
5.1%
면 16
 
5.1%
읍 14
 
4.4%
창 12
 
3.8%
남 11
 
3.5%
고 10
 
3.2%
Other values (65) 159
50.5%
Decimal Number
ValueCountFrequency (%)
1 35
26.3%
3 17
12.8%
2 15
11.3%
5 13
 
9.8%
4 12
 
9.0%
7 12
 
9.0%
0 11
 
8.3%
6 9
 
6.8%
9 6
 
4.5%
8 3
 
2.3%
Space Separator
ValueCountFrequency (%)
104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 315
55.1%
Common 257
44.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 24
 
7.6%
시 21
 
6.7%
산 16
 
5.1%
동 16
 
5.1%
군 16
 
5.1%
면 16
 
5.1%
읍 14
 
4.4%
창 12
 
3.8%
남 11
 
3.5%
고 10
 
3.2%
Other values (65) 159
50.5%
Common
ValueCountFrequency (%)
104
40.5%
1 35
 
13.6%
- 20
 
7.8%
3 17
 
6.6%
2 15
 
5.8%
5 13
 
5.1%
4 12
 
4.7%
7 12
 
4.7%
0 11
 
4.3%
6 9
 
3.5%
Other values (2) 9
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 315
55.1%
ASCII 257
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
104
40.5%
1 35
 
13.6%
- 20
 
7.8%
3 17
 
6.6%
2 15
 
5.8%
5 13
 
5.1%
4 12
 
4.7%
7 12
 
4.7%
0 11
 
4.3%
6 9
 
3.5%
Other values (2) 9
 
3.5%
Hangul
ValueCountFrequency (%)
리 24
 
7.6%
시 21
 
6.7%
산 16
 
5.1%
동 16
 
5.1%
군 16
 
5.1%
면 16
 
5.1%
읍 14
 
4.4%
창 12
 
3.8%
남 11
 
3.5%
고 10
 
3.2%
Other values (65) 159
50.5%

운영기관명
Categorical

Distinct12
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
고창군청
6 
전주시청
5 
익산시청
4 
남원시청
4 
KATA
4 
Other values (7)
14 

Length

Max length5
Median length4
Mean length4.0540541
Min length4

Unique

Unique1 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
고창군청 6
16.2%
전주시청 5
13.5%
익산시청 4
10.8%
남원시청 4
10.8%
KATA 4
10.8%
부안군청 3
8.1%
정읍시청 2
 
5.4%
김제시청 2
 
5.4%
문화관광과 2
 
5.4%
무주군청 2
 
5.4%
Other values (2) 3
8.1%

Length

2024-03-14T10:03:31.138791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고창군청 6
16.2%
전주시청 5
13.5%
익산시청 4
10.8%
남원시청 4
10.8%
kata 4
10.8%
부안군청 3
8.1%
정읍시청 2
 
5.4%
김제시청 2
 
5.4%
문화관광과 2
 
5.4%
무주군청 2
 
5.4%
Other values (2) 3
8.1%

홈페이지
Categorical

Distinct7
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Memory size428.0 B
-
19 
http://culture.gochang.go.kr
6 
http://tour.jeonju.go.kr/
5 
http://culture.gimje.go.kr/index.sko
2 
http://tour.jinan.go.kr
2 
Other values (2)
3 

Length

Max length36
Median length1
Mean length13.27027
Min length1

Unique

Unique1 ?
Unique (%)2.7%

Sample

1st rowhttp://tour.jeonju.go.kr/
2nd rowhttp://tour.jeonju.go.kr/
3rd rowhttp://tour.jeonju.go.kr/
4th rowhttp://tour.jeonju.go.kr/
5th rowhttp://tour.jeonju.go.kr/

Common Values

ValueCountFrequency (%)
- 19
51.4%
http://culture.gochang.go.kr 6
 
16.2%
http://tour.jeonju.go.kr/ 5
 
13.5%
http://culture.gimje.go.kr/index.sko 2
 
5.4%
http://tour.jinan.go.kr 2
 
5.4%
http://www.muju.go.kr 2
 
5.4%
tour.sunchang.go.kr 1
 
2.7%

Length

2024-03-14T10:03:31.238956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:03:31.342372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19
51.4%
http://culture.gochang.go.kr 6
 
16.2%
http://tour.jeonju.go.kr 5
 
13.5%
http://culture.gimje.go.kr/index.sko 2
 
5.4%
http://tour.jinan.go.kr 2
 
5.4%
http://www.muju.go.kr 2
 
5.4%
tour.sunchang.go.kr 1
 
2.7%

경도
Real number (ℝ)

Distinct34
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.1106
Minimum126.48406
Maximum127.66086
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-03-14T10:03:31.439716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.48406
5-th percentile126.58128
Q1126.84315
median127.12892
Q3127.38621
95-th percentile127.63819
Maximum127.66086
Range1.1767973
Interquartile range (IQR)0.54305276

Descriptive statistics

Standard deviation0.35371459
Coefficient of variation (CV)0.0027827308
Kurtosis-1.1119021
Mean127.1106
Median Absolute Deviation (MAD)0.26491666
Skewness-0.074856393
Sum4703.0923
Variance0.12511401
MonotonicityNot monotonic
2024-03-14T10:03:31.553739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
127.37892735 2
 
5.4%
126.70290521 2
 
5.4%
127.62103484 2
 
5.4%
127.1618512 1
 
2.7%
127.07003537 1
 
2.7%
127.39383604 1
 
2.7%
127.41788468 1
 
2.7%
127.66085519 1
 
2.7%
127.65109584 1
 
2.7%
126.70505067 1
 
2.7%
Other values (24) 24
64.9%
ValueCountFrequency (%)
126.48405789 1
2.7%
126.55946837 1
2.7%
126.58673394 1
2.7%
126.61009534 1
2.7%
126.65205999 1
2.7%
126.69461509 1
2.7%
126.70290521 2
5.4%
126.70505067 1
2.7%
126.84315314 1
2.7%
126.85277294 1
2.7%
ValueCountFrequency (%)
127.66085519 1
2.7%
127.65109584 1
2.7%
127.6349661 1
2.7%
127.62103484 2
5.4%
127.56839749 1
2.7%
127.41788468 1
2.7%
127.39383604 1
2.7%
127.38721464 1
2.7%
127.3862059 1
2.7%
127.37892735 2
5.4%

위도
Real number (ℝ)

Distinct34
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.647093
Minimum35.402737
Maximum36.011257
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-03-14T10:03:31.651914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.402737
5-th percentile35.402873
Q135.432462
median35.622431
Q335.815734
95-th percentile35.99388
Maximum36.011257
Range0.60852002
Interquartile range (IQR)0.3832723

Descriptive statistics

Standard deviation0.21111155
Coefficient of variation (CV)0.0059222657
Kurtosis-1.3020464
Mean35.647093
Median Absolute Deviation (MAD)0.19207228
Skewness0.33893839
Sum1318.9424
Variance0.044568088
MonotonicityNot monotonic
2024-03-14T10:03:31.806500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
35.402872822 2
 
5.4%
35.432461805 2
 
5.4%
35.679438508 2
 
5.4%
35.850346138 1
 
2.7%
35.408519952 1
 
2.7%
35.757013492 1
 
2.7%
35.775500272 1
 
2.7%
36.006288804 1
 
2.7%
35.973959126 1
 
2.7%
35.430358678 1
 
2.7%
Other values (24) 24
64.9%
ValueCountFrequency (%)
35.402736729 1
2.7%
35.402872822 2
5.4%
35.402887454 1
2.7%
35.408519952 1
2.7%
35.411487176 1
2.7%
35.416868265 1
2.7%
35.430358678 1
2.7%
35.432461805 2
5.4%
35.441673201 1
2.7%
35.460226558 1
2.7%
ValueCountFrequency (%)
36.011256752 1
2.7%
36.006288804 1
2.7%
35.990777652 1
2.7%
35.973959126 1
2.7%
35.971264272 1
2.7%
35.940969649 1
2.7%
35.850346138 1
2.7%
35.834688261 1
2.7%
35.81824965 1
2.7%
35.815734109 1
2.7%

데이터기준
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
2015-09-30
37 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015-09-30
2nd row2015-09-30
3rd row2015-09-30
4th row2015-09-30
5th row2015-09-30

Common Values

ValueCountFrequency (%)
2015-09-30 37
100.0%

Length

2024-03-14T10:03:31.952946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:03:32.026823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015-09-30 37
100.0%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
관광총괄과
37 

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 37
100.0%

Length

2024-03-14T10:03:32.116617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:03:32.191884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광총괄과 37
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
공개
37 

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 37
100.0%

Length

2024-03-14T10:03:32.265715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:03:32.560551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 37
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
2015.1
37 

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 37
100.0%

Length

2024-03-14T10:03:32.635605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:03:32.728889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015.1 37
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
1년
37 

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 37
100.0%

Length

2024-03-14T10:03:32.819592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:03:32.899214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 37
100.0%

Sample

순번시군명관광안내소안내소위치안내소소개부가서비스휴무일시작하절기종료하절기시작동절기종료동절기평균인원수영어안내일본어안내중국어안내가능외국어전화번호도로명주소지번주소운영기관명홈페이지경도위도데이터기준자료출처공개여부작성일갱신주기
01전주시전주역 관광안내소전주역 옆--연중무휴09:0018:0009:0018:002YNY-063-281-2024전주시 덕진구 동부대로 680전주시 덕진구 우아동3가 235전주시청http://tour.jeonju.go.kr/127.16185135.8503462015-09-30관광총괄과공개2015.11년
12전주시고속터미널 관광안내소고속터미널 옆--연중무휴09:0018:0009:0018:002YYN-063-281-2739전주시 덕진구 전주천동로 470전주시 덕진구 금암동 767-2전주시청http://tour.jeonju.go.kr/127.12891935.8346882015-09-30관광총괄과공개2015.11년
23전주시한옥마을 관광안내소공영주차장 옆-휠체어 대여, 유모차 대여연중무휴09:0018:0009:0018:003YYY-063-282-1330전주시 완산구 기린대로 99전주시 완산구 남노송동 100-1전주시청http://tour.jeonju.go.kr/127.15367735.818252015-09-30관광총괄과공개2015.11년
34전주시경기전 관광안내소경기전 앞--연중무휴09:0018:0009:0018:003YYY-063-287-1330전주시 완산구 태조로 44전주시 완산구 풍남동3가 102전주시청http://tour.jeonju.go.kr/127.15008535.8157342015-09-30관광총괄과공개2015.11년
45전주시오목대 관광안내소태조로쉼터 앞-휠체어 대여연중무휴09:0018:0009:0018:003YYY-063-282-1335전주시 완산구 태조로 6전주시 완산구 풍남동3가 15-11전주시청http://tour.jeonju.go.kr/127.15392335.8151832015-09-30관광총괄과공개2015.11년
56익산시미륵사지미륵사지주차장옆관광정보,안내휠체어월09:0018:0009:0018:005Y---063-859-3873익산시 금마면 미륵사지로 362익산시 금마면 기양리 104-1익산시청-127.02858636.0112572015-09-30관광총괄과공개2015.11년
67익산시왕궁유적유물전시관내관광정보,안내휠체어월09:0018:0009:0018:005-Y--063-859-4799익산시 왕궁면 궁성로 666익산시 왕궁면 왕궁리 562익산시청-127.05477535.9712642015-09-30관광총괄과공개2015.11년
78익산시보석박물관박물관입구관광정보,안내휠체어월09:0018:0009:0018:005--Y-063-859-4645익산시 왕궁면 호반로 8익산시 왕궁면 동용리 541-1익산시청-127.10208735.9907782015-09-30관광총괄과공개2015.11년
89익산시익산역여행센터내관광정보,안내-토,일,공휴일09:0018:0009:0018:001----063-859-3825익산시 익산대로 153익산시 창인동2가 1익산시청-126.94591135.940972015-09-30관광총괄과공개2015.11년
910정읍시정읍종합관광안내소정읍역광장앞관광정보,안내-연중무휴09:0018:0009:0018:003YYY-063-536-6776정읍시 서부산업도로 305정읍시 연지동 343-13정읍시청-126.84315335.5760772015-09-30관광총괄과공개2015.11년
순번시군명관광안내소안내소위치안내소소개부가서비스휴무일시작하절기종료하절기시작동절기종료동절기평균인원수영어안내일본어안내중국어안내가능외국어전화번호도로명주소지번주소운영기관명홈페이지경도위도데이터기준자료출처공개여부작성일갱신주기
2728순창군순창종합관광안내소강천산 내순창군 관광 홍보 및 안내를 도와주는 문화관광해설사 근무-설날, 추석10:0017:0010:0017:000YNN불어063-650-1674순창군 팔덕면 강천산길 75순창군 팔덕면 청계리 961-1순창군청tour.sunchang.go.kr127.07003535.408522015-09-30관광총괄과공개2015.11년
2829고창군고창읍성안내소고창군 고창읍 읍내리 127고창읍성 관련-연중무휴10:0018:0010:0017:003YNN영어063-560-8055고창군 고창읍 모양성로 1고창군 고창읍 읍내리 127고창군청http://culture.gochang.go.kr126.70505135.4303592015-09-30관광총괄과공개2015.11년
2930고창군고인돌안내소고창군 고창읍 도산리 676고인돌유적 관련휠체어대여,유모차대여월요일10:0018:0010:0017:003NYN일어063-560-8676고창군 고창읍 고인돌공원길 74고창군 고창읍 도산리 676고창군청http://culture.gochang.go.kr126.6520635.4416732015-09-30관광총괄과공개2015.11년
3031고창군선운산안내소고창군 아산면 삼인리 398-4선운산 관련휠체어대여,유모차대여연중무휴10:0018:0010:0017:003NYN일어063-560-8687고창군 아산면 선운사로 158-4고창군 아산면 삼인리 398-4고창군청http://culture.gochang.go.kr126.58673435.5024892015-09-30관광총괄과공개2015.11년
3132고창군판소리박물관고창군 고창읍 읍내리 241-1판소리 관련-월요일10:0018:0010:0017:003NNN-063-560-8063고창군 고창읍 동리로 100고창군 고창읍 읍내리 241-1고창군청http://culture.gochang.go.kr126.70290535.4324622015-09-30관광총괄과공개2015.11년
3233고창군무장현관아와읍성안내소고창군 무장면 성내리 156무장현관아와읍성관련-연중무휴10:0018:0010:0017:002NNN-063-560-8063고창군 고창읍 동리로 100고창군 고창읍 읍내리 241-1고창군청http://culture.gochang.go.kr126.70290535.4324622015-09-30관광총괄과공개2015.11년
3334고창군미당시문학관고창군 부안면 선운리 231미당서정주시인 관련-월요일10:0018:0010:0017:002NNN-063-560-8058고창군 부안면 질마재로 2-8고창군 부안면 선운리 231고창군청http://culture.gochang.go.kr126.61009535.5355982015-09-30관광총괄과공개2015.11년
3435부안군부안관광안내소부안 영상테마파크 내--월요일09:0018:0009:0018:000----063-580-4434부안군 변산면 격포로 309-64부안군 변산면 격포리 375부안군청-126.48405835.6224312015-09-30관광총괄과공개2015.11년
3536부안군줄포관광안내소줄포IC 앞--월요일09:0018:0009:0018:000----063-580-4734부안군 줄포면 주을로 169부안군 줄포면 대동리 산 65부안군청-126.69461535.6017272015-09-30관광총괄과공개2015.11년
3637부안군새만금관광안내소새만금홍보관 내--월요일09:0018:0009:0018:000----063-581-6292부안군 변산면 새만금로 6부안군 변산면 대항리 141부안군청-126.55946835.6970412015-09-30관광총괄과공개2015.11년