Overview

Dataset statistics

Number of variables16
Number of observations806
Missing cells744
Missing cells (%)5.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory103.2 KiB
Average record size in memory131.2 B

Variable types

Numeric3
Categorical7
Text5
DateTime1

Alerts

데이터기준일자 has constant value ""Constant
주차장보유여부 is highly overall correlated with 경도(WGS84좌표) and 4 other fieldsHigh correlation
시군 is highly overall correlated with 순번 and 7 other fieldsHigh correlation
주변관광정보 is highly overall correlated with 순번 and 7 other fieldsHigh correlation
부대시설 is highly overall correlated with 순번 and 7 other fieldsHigh correlation
업종명 is highly overall correlated with 순번 and 5 other fieldsHigh correlation
순번 is highly overall correlated with 경도(WGS84좌표) and 6 other fieldsHigh correlation
경도(WGS84좌표) is highly overall correlated with 순번 and 4 other fieldsHigh correlation
위도(WGS84좌표) is highly overall correlated with 순번 and 6 other fieldsHigh correlation
객실수 is highly overall correlated with 결제방법High correlation
결제방법 is highly overall correlated with 순번 and 6 other fieldsHigh correlation
부대시설 is highly imbalanced (64.2%)Imbalance
연락처 has 43 (5.3%) missing valuesMissing
홈페이지주소 has 698 (86.6%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 02:15:41.160242
Analysis finished2024-03-14 02:15:43.707628
Duration2.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct806
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean407.01861
Minimum1
Maximum815
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2024-03-14T11:15:43.767716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile41.25
Q1204.25
median405.5
Q3611.75
95-th percentile773.75
Maximum815
Range814
Interquartile range (IQR)407.5

Descriptive statistics

Standard deviation235.52832
Coefficient of variation (CV)0.57866721
Kurtosis-1.2000051
Mean407.01861
Median Absolute Deviation (MAD)204
Skewness0.0069593014
Sum328057
Variance55473.591
MonotonicityStrictly increasing
2024-03-14T11:15:43.885636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
549 1
 
0.1%
537 1
 
0.1%
539 1
 
0.1%
540 1
 
0.1%
541 1
 
0.1%
542 1
 
0.1%
543 1
 
0.1%
544 1
 
0.1%
546 1
 
0.1%
Other values (796) 796
98.8%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
815 1
0.1%
814 1
0.1%
813 1
0.1%
812 1
0.1%
811 1
0.1%
810 1
0.1%
809 1
0.1%
808 1
0.1%
807 1
0.1%
806 1
0.1%

시군
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
남원시
318 
부안군
156 
무주군
82 
장수군
76 
진안군
67 
Other values (5)
107 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남원시 318
39.5%
부안군 156
19.4%
무주군 82
 
10.2%
장수군 76
 
9.4%
진안군 67
 
8.3%
고창군 62
 
7.7%
임실군 26
 
3.2%
익산시 7
 
0.9%
순창군 7
 
0.9%
정읍시 5
 
0.6%

Length

2024-03-14T11:15:43.991897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:15:44.088315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남원시 318
39.5%
부안군 156
19.4%
무주군 82
 
10.2%
장수군 76
 
9.4%
진안군 67
 
8.3%
고창군 62
 
7.7%
임실군 26
 
3.2%
익산시 7
 
0.9%
순창군 7
 
0.9%
정읍시 5
 
0.6%

업소명
Text

Distinct781
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2024-03-14T11:15:44.324119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length5.32134
Min length2

Characters and Unicode

Total characters4289
Distinct characters436
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique761 ?
Unique (%)94.4%

Sample

1st row미륵산 자연학교
2nd row행복드림
3rd row대파니 힐링팜
4th row함라초당
5th row서동선화
ValueCountFrequency (%)
민박 46
 
5.1%
펜션 8
 
0.9%
초원민박 3
 
0.3%
황토방민박 3
 
0.3%
청기와민박 3
 
0.3%
서울민박 3
 
0.3%
중앙민박 3
 
0.3%
캠핑장 2
 
0.2%
천천 2
 
0.2%
아침 2
 
0.2%
Other values (806) 826
91.7%
2024-03-14T11:15:44.648681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
민 464
 
10.8%
박 462
 
10.8%
산 124
 
2.9%
션 99
 
2.3%
95
 
2.2%
펜 91
 
2.1%
리 71
 
1.7%
집 64
 
1.5%
장 61
 
1.4%
이 50
 
1.2%
Other values (426) 2708
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4141
96.5%
Space Separator 95
 
2.2%
Decimal Number 16
 
0.4%
Lowercase Letter 14
 
0.3%
Close Punctuation 7
 
0.2%
Open Punctuation 7
 
0.2%
Uppercase Letter 6
 
0.1%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
민 464
 
11.2%
박 462
 
11.2%
산 124
 
3.0%
션 99
 
2.4%
펜 91
 
2.2%
리 71
 
1.7%
집 64
 
1.5%
장 61
 
1.5%
이 50
 
1.2%
지 49
 
1.2%
Other values (402) 2606
62.9%
Lowercase Letter
ValueCountFrequency (%)
o 3
21.4%
u 2
14.3%
s 2
14.3%
e 2
14.3%
m 2
14.3%
h 1
 
7.1%
t 1
 
7.1%
g 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 5
31.2%
2 4
25.0%
3 3
18.8%
5 2
 
12.5%
6 1
 
6.2%
0 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
O 2
33.3%
K 1
16.7%
P 1
16.7%
T 1
16.7%
H 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
95
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4141
96.5%
Common 128
 
3.0%
Latin 20
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
민 464
 
11.2%
박 462
 
11.2%
산 124
 
3.0%
션 99
 
2.4%
펜 91
 
2.2%
리 71
 
1.7%
집 64
 
1.5%
장 61
 
1.5%
이 50
 
1.2%
지 49
 
1.2%
Other values (402) 2606
62.9%
Latin
ValueCountFrequency (%)
o 3
15.0%
u 2
10.0%
O 2
10.0%
s 2
10.0%
e 2
10.0%
m 2
10.0%
K 1
 
5.0%
P 1
 
5.0%
T 1
 
5.0%
h 1
 
5.0%
Other values (3) 3
15.0%
Common
ValueCountFrequency (%)
95
74.2%
) 7
 
5.5%
( 7
 
5.5%
1 5
 
3.9%
2 4
 
3.1%
3 3
 
2.3%
, 2
 
1.6%
5 2
 
1.6%
6 1
 
0.8%
0 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4141
96.5%
ASCII 148
 
3.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
민 464
 
11.2%
박 462
 
11.2%
산 124
 
3.0%
션 99
 
2.4%
펜 91
 
2.2%
리 71
 
1.7%
집 64
 
1.5%
장 61
 
1.5%
이 50
 
1.2%
지 49
 
1.2%
Other values (402) 2606
62.9%
ASCII
ValueCountFrequency (%)
95
64.2%
) 7
 
4.7%
( 7
 
4.7%
1 5
 
3.4%
2 4
 
2.7%
o 3
 
2.0%
3 3
 
2.0%
u 2
 
1.4%
O 2
 
1.4%
s 2
 
1.4%
Other values (14) 18
 
12.2%

업종명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
민박
623 
펜션
116 
농어촌민박
67 

Length

Max length5
Median length2
Mean length2.2493797
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
민박 623
77.3%
펜션 116
 
14.4%
농어촌민박 67
 
8.3%

Length

2024-03-14T11:15:44.758642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:15:44.846008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민박 623
77.3%
펜션 116
 
14.4%
농어촌민박 67
 
8.3%

소재지도로명주소
Text

Distinct757
Distinct (%)94.3%
Missing3
Missing (%)0.4%
Memory size6.4 KiB
2024-03-14T11:15:45.126412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length30
Mean length16.450809
Min length11

Characters and Unicode

Total characters13210
Distinct characters217
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique727 ?
Unique (%)90.5%

Sample

1st row익산시 삼기면 죽청길 46-60
2nd row익산시 함라면 신등신촌1길 8-22
3rd row익산시 삼기면 미륵산1길 102
4th row익산시 함라면 소룡길 15-70
5th row익산시 금마면 황각길 69-5
ValueCountFrequency (%)
남원시 317
 
9.8%
산내면 216
 
6.7%
부안군 156
 
4.8%
무주군 82
 
2.5%
설천면 75
 
2.3%
위도면 75
 
2.3%
장수군 74
 
2.3%
지리산로 71
 
2.2%
진안군 67
 
2.1%
고창군 61
 
1.9%
Other values (892) 2025
62.9%
2024-03-14T11:15:45.570092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2416
 
18.3%
면 755
 
5.7%
1 533
 
4.0%
군 479
 
3.6%
길 445
 
3.4%
산 430
 
3.3%
2 360
 
2.7%
로 355
 
2.7%
- 345
 
2.6%
시 344
 
2.6%
Other values (207) 6748
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7749
58.7%
Decimal Number 2596
 
19.7%
Space Separator 2416
 
18.3%
Dash Punctuation 345
 
2.6%
Close Punctuation 46
 
0.3%
Open Punctuation 46
 
0.3%
Uppercase Letter 5
 
< 0.1%
Math Symbol 4
 
< 0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 755
 
9.7%
군 479
 
6.2%
길 445
 
5.7%
산 430
 
5.5%
로 355
 
4.6%
시 344
 
4.4%
원 330
 
4.3%
남 319
 
4.1%
천 300
 
3.9%
안 284
 
3.7%
Other values (187) 3708
47.9%
Decimal Number
ValueCountFrequency (%)
1 533
20.5%
2 360
13.9%
3 311
12.0%
7 230
8.9%
5 217
8.4%
6 213
 
8.2%
9 206
 
7.9%
4 193
 
7.4%
8 188
 
7.2%
0 145
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 3
60.0%
A 1
 
20.0%
C 1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
2416
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 345
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7749
58.7%
Common 5456
41.3%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 755
 
9.7%
군 479
 
6.2%
길 445
 
5.7%
산 430
 
5.5%
로 355
 
4.6%
시 344
 
4.4%
원 330
 
4.3%
남 319
 
4.1%
천 300
 
3.9%
안 284
 
3.7%
Other values (187) 3708
47.9%
Common
ValueCountFrequency (%)
2416
44.3%
1 533
 
9.8%
2 360
 
6.6%
- 345
 
6.3%
3 311
 
5.7%
7 230
 
4.2%
5 217
 
4.0%
6 213
 
3.9%
9 206
 
3.8%
4 193
 
3.5%
Other values (7) 432
 
7.9%
Latin
ValueCountFrequency (%)
B 3
60.0%
A 1
 
20.0%
C 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7749
58.7%
ASCII 5461
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2416
44.2%
1 533
 
9.8%
2 360
 
6.6%
- 345
 
6.3%
3 311
 
5.7%
7 230
 
4.2%
5 217
 
4.0%
6 213
 
3.9%
9 206
 
3.8%
4 193
 
3.5%
Other values (10) 437
 
8.0%
Hangul
ValueCountFrequency (%)
면 755
 
9.7%
군 479
 
6.2%
길 445
 
5.7%
산 430
 
5.5%
로 355
 
4.6%
시 344
 
4.4%
원 330
 
4.3%
남 319
 
4.1%
천 300
 
3.9%
안 284
 
3.7%
Other values (187) 3708
47.9%

소재지지번주소
Text

Distinct762
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2024-03-14T11:15:45.828011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length16.202233
Min length13

Characters and Unicode

Total characters13059
Distinct characters152
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

Unique734 ?
Unique (%)91.1%

Sample

1st row익산시 삼기면 연동리 205
2nd row익산시 함라면 신등리 21
3rd row익산시 함라면 연동리 112-3
4th row익산시 함라면 신목리 1137-1
5th row익산시 금마면 신용리 105-1
ValueCountFrequency (%)
남원시 318
 
9.9%
산내면 220
 
6.8%
부안군 156
 
4.8%
무주군 82
 
2.5%
장수군 76
 
2.4%
설천면 75
 
2.3%
위도면 75
 
2.3%
진안군 67
 
2.1%
고창군 62
 
1.9%
대정리 58
 
1.8%
Other values (908) 2034
63.1%
2024-03-14T11:15:46.182708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2417
 
18.5%
리 815
 
6.2%
면 760
 
5.8%
1 564
 
4.3%
- 506
 
3.9%
군 481
 
3.7%
3 386
 
3.0%
2 370
 
2.8%
산 341
 
2.6%
시 330
 
2.5%
Other values (142) 6089
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7191
55.1%
Decimal Number 2945
22.6%
Space Separator 2417
 
18.5%
Dash Punctuation 506
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 815
 
11.3%
면 760
 
10.6%
군 481
 
6.7%
산 341
 
4.7%
시 330
 
4.6%
남 326
 
4.5%
원 319
 
4.4%
안 251
 
3.5%
내 250
 
3.5%
천 225
 
3.1%
Other values (130) 3093
43.0%
Decimal Number
ValueCountFrequency (%)
1 564
19.2%
3 386
13.1%
2 370
12.6%
4 317
10.8%
5 289
9.8%
6 226
7.7%
8 219
 
7.4%
7 218
 
7.4%
0 192
 
6.5%
9 164
 
5.6%
Space Separator
ValueCountFrequency (%)
2417
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 506
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7191
55.1%
Common 5868
44.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 815
 
11.3%
면 760
 
10.6%
군 481
 
6.7%
산 341
 
4.7%
시 330
 
4.6%
남 326
 
4.5%
원 319
 
4.4%
안 251
 
3.5%
내 250
 
3.5%
천 225
 
3.1%
Other values (130) 3093
43.0%
Common
ValueCountFrequency (%)
2417
41.2%
1 564
 
9.6%
- 506
 
8.6%
3 386
 
6.6%
2 370
 
6.3%
4 317
 
5.4%
5 289
 
4.9%
6 226
 
3.9%
8 219
 
3.7%
7 218
 
3.7%
Other values (2) 356
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7191
55.1%
ASCII 5868
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2417
41.2%
1 564
 
9.6%
- 506
 
8.6%
3 386
 
6.6%
2 370
 
6.3%
4 317
 
5.4%
5 289
 
4.9%
6 226
 
3.9%
8 219
 
3.7%
7 218
 
3.7%
Other values (2) 356
 
6.1%
Hangul
ValueCountFrequency (%)
리 815
 
11.3%
면 760
 
10.6%
군 481
 
6.7%
산 341
 
4.7%
시 330
 
4.6%
남 326
 
4.5%
원 319
 
4.4%
안 251
 
3.5%
내 250
 
3.5%
천 225
 
3.1%
Other values (130) 3093
43.0%

연락처
Text

MISSING 

Distinct745
Distinct (%)97.6%
Missing43
Missing (%)5.3%
Memory size6.4 KiB
2024-03-14T11:15:46.409578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length11.086501
Min length8

Characters and Unicode

Total characters8459
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique728 ?
Unique (%)95.4%

Sample

1st row858-2580
2nd row856-5770
3rd row858-1886
4th row856-1364
5th row836-1221
ValueCountFrequency (%)
626-3596 3
 
0.4%
063-582-8748 2
 
0.3%
063-582-7886 2
 
0.3%
626-3341 2
 
0.3%
063-653-4779 2
 
0.3%
063-583-0222 2
 
0.3%
636-3087 2
 
0.3%
636-3471 2
 
0.3%
010-5280-9584 2
 
0.3%
063-561-3323 2
 
0.3%
Other values (740) 747
97.3%
2024-03-14T11:15:46.801255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1296
15.3%
3 1245
14.7%
6 1124
13.3%
0 1104
13.1%
1 668
7.9%
2 659
7.8%
5 658
7.8%
8 544
6.4%
4 447
 
5.3%
7 379
 
4.5%
Other values (4) 335
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7151
84.5%
Dash Punctuation 1296
 
15.3%
Other Punctuation 6
 
0.1%
Space Separator 5
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1245
17.4%
6 1124
15.7%
0 1104
15.4%
1 668
9.3%
2 659
9.2%
5 658
9.2%
8 544
7.6%
4 447
 
6.3%
7 379
 
5.3%
9 323
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 1296
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8459
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1296
15.3%
3 1245
14.7%
6 1124
13.3%
0 1104
13.1%
1 668
7.9%
2 659
7.8%
5 658
7.8%
8 544
6.4%
4 447
 
5.3%
7 379
 
4.5%
Other values (4) 335
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8459
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1296
15.3%
3 1245
14.7%
6 1124
13.3%
0 1104
13.1%
1 668
7.9%
2 659
7.8%
5 658
7.8%
8 544
6.4%
4 447
 
5.3%
7 379
 
4.5%
Other values (4) 335
 
4.0%

객실수
Categorical

HIGH CORRELATION 

Distinct38
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2
153 
3
137 
4
103 
5
93 
1
83 
Other values (33)
237 

Length

Max length2
Median length1
Mean length1.1203474
Min length1

Unique

Unique12 ?
Unique (%)1.5%

Sample

1st row6
2nd row1
3rd row3
4th row1
5th row3

Common Values

ValueCountFrequency (%)
2 153
19.0%
3 137
17.0%
4 103
12.8%
5 93
11.5%
1 83
10.3%
6 66
8.2%
7 53
 
6.6%
방1 37
 
4.6%
8 13
 
1.6%
10 9
 
1.1%
Other values (28) 59
 
7.3%

Length

2024-03-14T11:15:46.911252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2 153
19.0%
3 137
17.0%
4 103
12.8%
5 93
11.5%
1 83
10.3%
6 66
8.2%
7 53
 
6.6%
방1 37
 
4.6%
8 13
 
1.6%
10 9
 
1.1%
Other values (28) 59
 
7.3%

부대시설
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct14
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
590 
무
76 
취사시설
67 
-
62 
승마체험장
 
2
Other values (9)
 
9

Length

Max length20
Median length4
Mean length3.5359801
Min length1

Unique

Unique9 ?
Unique (%)1.1%

Sample

1st row황토방
2nd row<NA>
3rd row승마체험장
4th row차체험관
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 590
73.2%
무 76
 
9.4%
취사시설 67
 
8.3%
- 62
 
7.7%
승마체험장 2
 
0.2%
황토방 1
 
0.1%
차체험관 1
 
0.1%
하늘숲카페 1
 
0.1%
수영장, 야외바베큐장 1
 
0.1%
수영장, 야외바베큐장,당구장 1
 
0.1%
Other values (4) 4
 
0.5%

Length

2024-03-14T11:15:47.017977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 590
72.8%
무 76
 
9.4%
취사시설 67
 
8.3%
62
 
7.7%
야외바베큐장 3
 
0.4%
승마체험장 2
 
0.2%
수영장 2
 
0.2%
황토방 1
 
0.1%
차체험관 1
 
0.1%
하늘숲카페 1
 
0.1%
Other values (5) 5
 
0.6%

주차장보유여부
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
여
612 
<NA>
156 
부
 
38

Length

Max length4
Median length1
Mean length1.5806452
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
여 612
75.9%
<NA> 156
 
19.4%
부 38
 
4.7%

Length

2024-03-14T11:15:47.158453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:15:47.254903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여 612
75.9%
na 156
 
19.4%
부 38
 
4.7%

결제방법
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
현금
487 
현금,카드
167 
현금, 신용카드
83 
<NA>
67 
현금,신용카드
 
2

Length

Max length8
Median length2
Mean length3.4181141
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
현금 487
60.4%
현금,카드 167
 
20.7%
현금, 신용카드 83
 
10.3%
<NA> 67
 
8.3%
현금,신용카드 2
 
0.2%

Length

2024-03-14T11:15:47.364294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:15:47.472351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
현금 570
64.1%
현금,카드 167
 
18.8%
신용카드 83
 
9.3%
na 67
 
7.5%
현금,신용카드 2
 
0.2%

홈페이지주소
Text

MISSING 

Distinct104
Distinct (%)96.3%
Missing698
Missing (%)86.6%
Memory size6.4 KiB
2024-03-14T11:15:47.793681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length128
Median length32
Mean length27.157407
Min length12

Characters and Unicode

Total characters2933
Distinct characters107
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)94.4%

Sample

1st rowwww.mireuksan.com
2nd rowcafe.daum.net/daepani/
3rd rowwww.hamrachodang.com
4th rowwww.하늘숲펜션.com
5th rowhttp://www.gagopara.co.kr
ValueCountFrequency (%)
http://www.littleprovence.com 4
 
3.7%
www.demisemvillage.com 2
 
1.9%
www.mireuksan.com 1
 
0.9%
http://sopoongnori.com 1
 
0.9%
http://www.mujuskitel.co.kr 1
 
0.9%
http://www.magiccastle.kr 1
 
0.9%
http://www.mujuchampion.com 1
 
0.9%
http://www.mujuneverland.com 1
 
0.9%
http://www.9000sansae.co.kr/stdzn/page.do?request=gomainpage&bizcode=p201408001 1
 
0.9%
http://www.snow-flower.co.kr/main/index.html 1
 
0.9%
Other values (94) 94
87.0%
2024-03-14T11:15:48.220303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 297
 
10.1%
/ 253
 
8.6%
. 250
 
8.5%
t 217
 
7.4%
o 175
 
6.0%
p 134
 
4.6%
h 132
 
4.5%
m 124
 
4.2%
c 117
 
4.0%
e 110
 
3.8%
Other values (97) 1124
38.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2094
71.4%
Other Punctuation 627
 
21.4%
Uppercase Letter 84
 
2.9%
Decimal Number 59
 
2.0%
Other Letter 56
 
1.9%
Math Symbol 6
 
0.2%
Dash Punctuation 4
 
0.1%
Connector Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
션 6
 
10.7%
펜 6
 
10.7%
마 2
 
3.6%
가 2
 
3.6%
안 2
 
3.6%
민 2
 
3.6%
진 2
 
3.6%
박 2
 
3.6%
향 1
 
1.8%
오 1
 
1.8%
Other values (30) 30
53.6%
Lowercase Letter
ValueCountFrequency (%)
w 297
14.2%
t 217
 
10.4%
o 175
 
8.4%
p 134
 
6.4%
h 132
 
6.3%
m 124
 
5.9%
c 117
 
5.6%
e 110
 
5.3%
n 105
 
5.0%
r 90
 
4.3%
Other values (16) 593
28.3%
Uppercase Letter
ValueCountFrequency (%)
A 12
14.3%
E 11
13.1%
C 10
11.9%
B 8
 
9.5%
D 7
 
8.3%
V 4
 
4.8%
R 3
 
3.6%
P 3
 
3.6%
N 3
 
3.6%
W 3
 
3.6%
Other values (12) 20
23.8%
Decimal Number
ValueCountFrequency (%)
0 17
28.8%
8 8
13.6%
9 8
13.6%
2 7
11.9%
1 6
 
10.2%
4 6
 
10.2%
5 3
 
5.1%
7 2
 
3.4%
3 1
 
1.7%
6 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
/ 253
40.4%
. 250
39.9%
: 88
 
14.0%
% 30
 
4.8%
? 4
 
0.6%
& 2
 
0.3%
Math Symbol
ValueCountFrequency (%)
= 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2178
74.3%
Common 699
 
23.8%
Hangul 56
 
1.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 297
13.6%
t 217
 
10.0%
o 175
 
8.0%
p 134
 
6.2%
h 132
 
6.1%
m 124
 
5.7%
c 117
 
5.4%
e 110
 
5.1%
n 105
 
4.8%
r 90
 
4.1%
Other values (38) 677
31.1%
Hangul
ValueCountFrequency (%)
션 6
 
10.7%
펜 6
 
10.7%
마 2
 
3.6%
가 2
 
3.6%
안 2
 
3.6%
민 2
 
3.6%
진 2
 
3.6%
박 2
 
3.6%
향 1
 
1.8%
오 1
 
1.8%
Other values (30) 30
53.6%
Common
ValueCountFrequency (%)
/ 253
36.2%
. 250
35.8%
: 88
 
12.6%
% 30
 
4.3%
0 17
 
2.4%
8 8
 
1.1%
9 8
 
1.1%
2 7
 
1.0%
1 6
 
0.9%
4 6
 
0.9%
Other values (9) 26
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2877
98.1%
Hangul 56
 
1.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 297
 
10.3%
/ 253
 
8.8%
. 250
 
8.7%
t 217
 
7.5%
o 175
 
6.1%
p 134
 
4.7%
h 132
 
4.6%
m 124
 
4.3%
c 117
 
4.1%
e 110
 
3.8%
Other values (57) 1068
37.1%
Hangul
ValueCountFrequency (%)
션 6
 
10.7%
펜 6
 
10.7%
마 2
 
3.6%
가 2
 
3.6%
안 2
 
3.6%
민 2
 
3.6%
진 2
 
3.6%
박 2
 
3.6%
향 1
 
1.8%
오 1
 
1.8%
Other values (30) 30
53.6%

주변관광정보
Categorical

HIGH CORRELATION 

Distinct28
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
258 
뱀사골계곡
215 
무주구천동, 무주리조트, 덕유산국립공원, 적상산
82 
지리산둘레길
75 
마이산, 용담호, 운일암반일암 등
67 
Other values (23)
109 

Length

Max length38
Median length30
Mean length8.6389578
Min length3

Unique

Unique11 ?
Unique (%)1.4%

Sample

1st row미륵산, 미륵사지석탑 왕궁리유적전시관, 보석박물관
2nd row함라산둘레길, 삼부잣집, 웅포관광지곰개나루, 웅포캠핑장
3rd row미륵산, 미륵사지석탑, 왕궁리유적전시관, 보석박물관
4th row함라산둘레길, 삼부잣집, 교도소세트장, 웅포관광지곰개나루, 웅포캠핑장
5th row미륵산, 미륵사지석탑, 왕궁리유적전시관, 보석박물관

Common Values

ValueCountFrequency (%)
<NA> 258
32.0%
뱀사골계곡 215
26.7%
무주구천동, 무주리조트, 덕유산국립공원, 적상산 82
 
10.2%
지리산둘레길 75
 
9.3%
마이산, 용담호, 운일암반일암 등 67
 
8.3%
국악의성지, 지리산 허브밸리 21
 
2.6%
선운산 21
 
2.6%
구시포해수욕장 17
 
2.1%
선운산, 동호해수욕장 13
 
1.6%
광한루 6
 
0.7%
Other values (18) 31
 
3.8%

Length

2024-03-14T11:15:48.354115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 258
19.2%
뱀사골계곡 215
16.0%
무주구천동 82
 
6.1%
덕유산국립공원 82
 
6.1%
적상산 82
 
6.1%
무주리조트 82
 
6.1%
지리산둘레길 75
 
5.6%
운일암반일암 67
 
5.0%
등 67
 
5.0%
용담호 67
 
5.0%
Other values (35) 269
20.0%

경도(WGS84좌표)
Real number (ℝ)

HIGH CORRELATION 

Distinct759
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.05713
Minimum126.15179
Maximum127.49264
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2024-03-14T11:15:48.479716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.15179
5-th percentile126.17214
Q1126.59389
median127.3159
Q3127.36329
95-th percentile127.46215
Maximum127.49264
Range1.340849
Interquartile range (IQR)0.76940174

Descriptive statistics

Standard deviation0.46048334
Coefficient of variation (CV)0.0036242228
Kurtosis-0.73507169
Mean127.05713
Median Absolute Deviation (MAD)0.060724238
Skewness-1.0171053
Sum102408.04
Variance0.21204491
MonotonicityNot monotonic
2024-03-14T11:15:48.616705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.3446488113 12
 
1.5%
127.341055889 4
 
0.5%
127.360544795 3
 
0.4%
126.3037738985 3
 
0.4%
127.3450067126 3
 
0.4%
127.463780457 3
 
0.4%
127.3739968067 2
 
0.2%
126.3121176768 2
 
0.2%
126.2906465143 2
 
0.2%
126.3034286136 2
 
0.2%
Other values (749) 770
95.5%
ValueCountFrequency (%)
126.1517889997 2
0.2%
126.1519073045 1
0.1%
126.1519139573 1
0.1%
126.1519351833 1
0.1%
126.1542350996 1
0.1%
126.1543359041 1
0.1%
126.1543981154 1
0.1%
126.1544322524 1
0.1%
126.154514408 1
0.1%
126.1552170399 1
0.1%
ValueCountFrequency (%)
127.4926380028 1
0.1%
127.491950455 1
0.1%
127.4917763472 1
0.1%
127.4915580327 1
0.1%
127.4915076124 1
0.1%
127.4827338673 1
0.1%
127.4826806871 1
0.1%
127.4654956979 1
0.1%
127.4648906738 1
0.1%
127.4647976942 2
0.2%

위도(WGS84좌표)
Real number (ℝ)

HIGH CORRELATION 

Distinct759
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.363849
Minimum35.190316
Maximum36.074694
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2024-03-14T11:15:48.750415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.190316
5-th percentile35.214692
Q135.253051
median35.354562
Q335.445473
95-th percentile35.543178
Maximum36.074694
Range0.88437774
Interquartile range (IQR)0.19242122

Descriptive statistics

Standard deviation0.13187704
Coefficient of variation (CV)0.0037291483
Kurtosis4.7722026
Mean35.363849
Median Absolute Deviation (MAD)0.10142236
Skewness1.4761798
Sum28503.262
Variance0.017391553
MonotonicityNot monotonic
2024-03-14T11:15:48.869178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.2225441808 12
 
1.5%
35.2209028539 4
 
0.5%
35.2409015315 3
 
0.4%
35.3459724204 3
 
0.4%
35.2236879568 3
 
0.4%
35.5402312157 3
 
0.4%
35.2529541061 2
 
0.2%
35.3623716326 2
 
0.2%
35.3606330852 2
 
0.2%
35.3916939598 2
 
0.2%
Other values (749) 770
95.5%
ValueCountFrequency (%)
35.1903163181 1
0.1%
35.1903862524 1
0.1%
35.2020641512 1
0.1%
35.2052558984 1
0.1%
35.2053839688 1
0.1%
35.2056735578 1
0.1%
35.2056806244 1
0.1%
35.2057727583 2
0.2%
35.2057891229 1
0.1%
35.2057926511 1
0.1%
ValueCountFrequency (%)
36.0746940627 1
0.1%
36.0157778559 1
0.1%
36.0156591764 1
0.1%
36.0156396686 1
0.1%
36.0130709588 1
0.1%
36.0107567086 1
0.1%
36.0107034516 1
0.1%
36.0033632529 1
0.1%
36.0008905584 1
0.1%
35.5913033141 1
0.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
Minimum2015-09-30 00:00:00
Maximum2015-09-30 00:00:00
2024-03-14T11:15:48.977958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:15:49.049686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T11:15:43.000634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:15:42.171969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:15:42.457749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:15:43.094052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:15:42.270531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:15:42.545236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:15:43.175798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:15:42.356123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:15:42.893169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T11:15:49.114748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군업종명객실수부대시설주차장보유여부결제방법주변관광정보경도(WGS84좌표)위도(WGS84좌표)
순번1.0000.9690.8870.6960.9140.2920.8190.8920.8910.792
시군0.9691.0000.9480.7860.9900.8720.8481.0000.9460.887
업종명0.8870.9481.0000.7090.8750.0590.9630.9990.5250.827
객실수0.6960.7860.7091.0000.7980.0000.8300.8070.3150.602
부대시설0.9140.9900.8750.7981.0000.5520.9850.9620.8940.841
주차장보유여부0.2920.8720.0590.0000.5521.0000.2980.7590.8450.793
결제방법0.8190.8480.9630.8300.9850.2981.0000.9400.6250.708
주변관광정보0.8921.0000.9990.8070.9620.7590.9401.0000.9680.932
경도(WGS84좌표)0.8910.9460.5250.3150.8940.8450.6250.9681.0000.685
위도(WGS84좌표)0.7920.8870.8270.6020.8410.7930.7080.9320.6851.000
2024-03-14T11:15:49.229335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주차장보유여부시군주변관광정보결제방법부대시설업종명객실수
주차장보유여부1.0000.9010.6570.1980.5040.0970.000
시군0.9011.0000.9810.7320.9590.9350.404
주변관광정보0.6570.9811.0000.7830.7940.9470.303
결제방법0.1980.7320.7831.0000.8270.8250.573
부대시설0.5040.9590.7940.8271.0000.7550.433
업종명0.0970.9350.9470.8250.7551.0000.467
객실수0.0000.4040.3030.5730.4330.4671.000
2024-03-14T11:15:49.595149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번경도(WGS84좌표)위도(WGS84좌표)시군업종명객실수부대시설주차장보유여부결제방법주변관광정보
순번1.000-0.6300.5290.6970.8250.3180.7470.2900.6470.619
경도(WGS84좌표)-0.6301.000-0.1080.6080.3680.1130.6850.6620.4260.828
위도(WGS84좌표)0.529-0.1081.0000.7290.5130.3050.6110.5950.5390.726
시군0.6970.6080.7291.0000.9350.4040.9590.9010.7320.981
업종명0.8250.3680.5130.9351.0000.4670.7550.0970.8250.947
객실수0.3180.1130.3050.4040.4671.0000.4330.0000.5730.303
부대시설0.7470.6850.6110.9590.7550.4331.0000.5040.8270.794
주차장보유여부0.2900.6620.5950.9010.0970.0000.5041.0000.1980.657
결제방법0.6470.4260.5390.7320.8250.5730.8270.1981.0000.783
주변관광정보0.6190.8280.7260.9810.9470.3030.7940.6570.7831.000

Missing values

2024-03-14T11:15:43.298015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T11:15:43.507590image/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.
2024-03-14T11:15:43.626633image/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

순번시군업소명업종명소재지도로명주소소재지지번주소연락처객실수부대시설주차장보유여부결제방법홈페이지주소주변관광정보경도(WGS84좌표)위도(WGS84좌표)데이터기준일자
01익산시미륵산 자연학교민박익산시 삼기면 죽청길 46-60익산시 삼기면 연동리 205858-25806황토방부현금www.mireuksan.com미륵산, 미륵사지석탑 왕궁리유적전시관, 보석박물관127.01076336.0156592015-09-30
12익산시행복드림민박익산시 함라면 신등신촌1길 8-22익산시 함라면 신등리 21856-57701<NA>부현금<NA>함라산둘레길, 삼부잣집, 웅포관광지곰개나루, 웅포캠핑장126.54259136.0130712015-09-30
23익산시대파니 힐링팜민박익산시 삼기면 미륵산1길 102익산시 함라면 연동리 112-3858-18863승마체험장부현금cafe.daum.net/daepani/미륵산, 미륵사지석탑, 왕궁리유적전시관, 보석박물관127.01180436.0157782015-09-30
34익산시함라초당민박익산시 함라면 소룡길 15-70익산시 함라면 신목리 1137-1856-13641차체험관부현금www.hamrachodang.com함라산둘레길, 삼부잣집, 교도소세트장, 웅포관광지곰개나루, 웅포캠핑장126.52382336.015642015-09-30
45익산시서동선화민박익산시 금마면 황각길 69-5익산시 금마면 신용리 105-1<NA>3<NA>부현금<NA>미륵산, 미륵사지석탑, 왕궁리유적전시관, 보석박물관127.0324436.0107032015-09-30
56익산시하늘숲민박익산시 금마면 향산길 12-2익산시 금마면 기양리 334-56836-12214하늘숲카페여현금www.하늘숲펜션.com미륵산, 미륵사지석탑, 왕궁리유적전시관, 보석박물관127.01046336.0033632015-09-30
67익산시너나들이민박익산시 성당면 승댕이길 8익산시 성당면 성당리 312<NA>1<NA>부현금<NA>교도소세트장, ㄱ자교회, 편백숲126.55154736.0746942015-09-30
78정읍시가고파라민박정읍시 태산로 683-18정읍시 산내면 종성리 730-5063-538-50525수영장, 야외바베큐장여현금http://www.gagopara.co.kr구절초공원, 옥정호127.10061635.5381762015-09-30
89정읍시플로라민박정읍시 태산로 684정읍시 산내면 종성리 727-2063-538-13774수영장, 야외바베큐장,당구장여현금http://www.pensionflora.com구절초공원, 옥정호127.09954135.5402162015-09-30
910정읍시웨스턴캠프민박정읍시 송산1길 142-101정읍시 송산동 629-2063-534-00017승마체험장여현금, 신용카드http://www.westerncamp.co.kr내장산국립공원127.10061635.5381762015-09-30
순번시군업소명업종명소재지도로명주소소재지지번주소연락처객실수부대시설주차장보유여부결제방법홈페이지주소주변관광정보경도(WGS84좌표)위도(WGS84좌표)데이터기준일자
796806부안군변산힐링밸리민박민박부안군 진서면 참뽕로 175부안군 진서면 운호리 421-15063-584-36597<NA><NA>현금<NA><NA>126.31184435.3643412015-09-30
797807부안군개암힐링민박민박부안군 주산면 종유로 44-21부안군 주산면 사산리 795-8063-581-07003<NA><NA>현금<NA><NA>126.40318235.3857082015-09-30
798808부안군해맑은바다민박부안군 위도면 위도로 895부안군 위도면 대리 424-10063-582-74232<NA><NA>현금<NA><NA>126.15191435.3457042015-09-30
799809부안군드라마 민박민박부안군 변산면 궁항영상길 70부안군 변산면 격포리 647063-581-22775<NA><NA>현금<NA><NA>126.27585635.3629332015-09-30
800810부안군하늘호수민박민박부안군 하서면 영성로 388-22부안군 하서면 청호리 313-2063-582-58292<NA><NA>현금<NA><NA>126.39115135.4420932015-09-30
801811부안군위도 색소폰민박민박부안군 위도면 논금길 9-1부안군 위도면 대리 427-6063-583-68005<NA><NA>현금<NA><NA>126.15178935.3506692015-09-30
802812부안군사계절 민박민박부안군 변산면 변산로 3205부안군 변산면 도청리 503063-584-11495<NA><NA>현금<NA><NA>126.29064535.3603632015-09-30
803813부안군샹그릴라펜션부안군 변산면 변산로 3374부안군 변산면 도청리 272-8063-583-93931<NA><NA>현금<NA><NA>126.29317935.351832015-09-30
804814부안군상록관광 민박민박부안군 변산면 변산로 3197부안군 변산면 도청리 484-2063-582-87486<NA><NA>현금<NA><NA>126.29064735.3606332015-09-30
805815부안군소리섬펜션펜션부안군 변산면 궁항영상길 72-9부안군 변산면 격포리 643-8063-581-79798<NA><NA>현금<NA><NA>126.28012735.3632562015-09-30