Overview

Dataset statistics

Number of variables16
Number of observations34
Missing cells157
Missing cells (%)28.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory138.9 B

Variable types

Text6
Categorical3
Unsupported4
Numeric3

Alerts

업종명 has constant value ""Constant
서비스대상구분 has constant value ""Constant
외국어안내서비스 has 34 (100.0%) missing valuesMissing
전화번호 has 3 (8.8%) missing valuesMissing
주차장보유여부 has 34 (100.0%) missing valuesMissing
결제방법 has 34 (100.0%) missing valuesMissing
홈페이지주소 has 5 (14.7%) missing valuesMissing
주변관광정보 has 7 (20.6%) missing valuesMissing
위도 has 3 (8.8%) missing valuesMissing
경도 has 3 (8.8%) missing valuesMissing
데이터기준일자 has 34 (100.0%) missing valuesMissing
업소명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지지번주소 has unique valuesUnique
외국어안내서비스 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주차장보유여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
결제방법 is an unsupported type, check if it needs cleaning or further analysisUnsupported
데이터기준일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 01:00:44.108011
Analysis finished2024-03-14 01:00:45.860684
Duration1.75 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T10:00:46.014943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length6.0882353
Min length2

Characters and Unicode

Total characters207
Distinct characters96
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row섬마을풍경 관광펜션
2nd row브람스펜션
3rd row내장산 몽환의 숲 펜션
4th row지리산밸리
5th row지리산대호관광펜션
ValueCountFrequency (%)
펜션 2
 
4.5%
섬마을풍경 1
 
2.3%
guest 1
 
2.3%
momo 1
 
2.3%
더블힐링펜션 1
 
2.3%
해넘이타운 1
 
2.3%
힐링의 1
 
2.3%
바다 1
 
2.3%
한솔펜션 1
 
2.3%
변산리조트 1
 
2.3%
Other values (33) 33
75.0%
2024-03-14T10:00:46.354491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
펜 18
 
8.7%
션 18
 
8.7%
리 14
 
6.8%
10
 
4.8%
산 7
 
3.4%
스 7
 
3.4%
방 4
 
1.9%
광 3
 
1.4%
관 3
 
1.4%
o 3
 
1.4%
Other values (86) 120
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 183
88.4%
Lowercase Letter 14
 
6.8%
Space Separator 10
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
펜 18
 
9.8%
션 18
 
9.8%
리 14
 
7.7%
산 7
 
3.8%
스 7
 
3.8%
방 4
 
2.2%
광 3
 
1.6%
관 3
 
1.6%
프 3
 
1.6%
지 3
 
1.6%
Other values (77) 103
56.3%
Lowercase Letter
ValueCountFrequency (%)
o 3
21.4%
m 2
14.3%
u 2
14.3%
e 2
14.3%
s 2
14.3%
h 1
 
7.1%
t 1
 
7.1%
g 1
 
7.1%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 183
88.4%
Latin 14
 
6.8%
Common 10
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
펜 18
 
9.8%
션 18
 
9.8%
리 14
 
7.7%
산 7
 
3.8%
스 7
 
3.8%
방 4
 
2.2%
광 3
 
1.6%
관 3
 
1.6%
프 3
 
1.6%
지 3
 
1.6%
Other values (77) 103
56.3%
Latin
ValueCountFrequency (%)
o 3
21.4%
m 2
14.3%
u 2
14.3%
e 2
14.3%
s 2
14.3%
h 1
 
7.1%
t 1
 
7.1%
g 1
 
7.1%
Common
ValueCountFrequency (%)
10
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 183
88.4%
ASCII 24
 
11.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
펜 18
 
9.8%
션 18
 
9.8%
리 14
 
7.7%
산 7
 
3.8%
스 7
 
3.8%
방 4
 
2.2%
광 3
 
1.6%
관 3
 
1.6%
프 3
 
1.6%
지 3
 
1.6%
Other values (77) 103
56.3%
ASCII
ValueCountFrequency (%)
10
41.7%
o 3
 
12.5%
m 2
 
8.3%
u 2
 
8.3%
e 2
 
8.3%
s 2
 
8.3%
h 1
 
4.2%
t 1
 
4.2%
g 1
 
4.2%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
관광펜션
34 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광펜션 34
100.0%

Length

2024-03-14T10:00:46.478960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:00:46.563170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광펜션 34
100.0%

서비스대상구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
내국인+외국인
34 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row내국인+외국인
2nd row내국인+외국인
3rd row내국인+외국인
4th row내국인+외국인
5th row내국인+외국인

Common Values

ValueCountFrequency (%)
내국인+외국인 34
100.0%

Length

2024-03-14T10:00:46.671228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:00:46.751253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
내국인+외국인 34
100.0%

외국어안내서비스
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

소재지도로명주소
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T10:00:46.914248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length24
Mean length22.117647
Min length19

Characters and Unicode

Total characters752
Distinct characters72
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

Unique34 ?
Unique (%)100.0%

Sample

1st row전라북도 군산시 옥도면 장자도2길 55-10
2nd row전라북도 정읍시 내장산로 375(부전동)
3rd row전라북도 정읍시 용산호반길 26-4
4th row전라북도 남원시 산내면 지리산로 1268
5th row전라북도 남원시 산내면 산내달궁길 10
ValueCountFrequency (%)
전라북도 34
20.1%
무주군 19
 
11.2%
설천면 16
 
9.5%
부안군 8
 
4.7%
변산면 7
 
4.1%
구천동로 6
 
3.6%
내배방길 4
 
2.4%
남원시 4
 
2.4%
22 3
 
1.8%
산내면 3
 
1.8%
Other values (58) 65
38.5%
2024-03-14T10:00:47.197676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
135
 
18.0%
도 36
 
4.8%
전 35
 
4.7%
라 34
 
4.5%
북 34
 
4.5%
면 32
 
4.3%
군 28
 
3.7%
천 25
 
3.3%
2 22
 
2.9%
무 21
 
2.8%
Other values (62) 350
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 475
63.2%
Space Separator 135
 
18.0%
Decimal Number 120
 
16.0%
Dash Punctuation 18
 
2.4%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 36
 
7.6%
전 35
 
7.4%
라 34
 
7.2%
북 34
 
7.2%
면 32
 
6.7%
군 28
 
5.9%
천 25
 
5.3%
무 21
 
4.4%
산 21
 
4.4%
주 20
 
4.2%
Other values (48) 189
39.8%
Decimal Number
ValueCountFrequency (%)
2 22
18.3%
1 17
14.2%
5 14
11.7%
4 14
11.7%
3 13
10.8%
8 10
8.3%
9 10
8.3%
7 7
 
5.8%
0 7
 
5.8%
6 6
 
5.0%
Space Separator
ValueCountFrequency (%)
135
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 475
63.2%
Common 277
36.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 36
 
7.6%
전 35
 
7.4%
라 34
 
7.2%
북 34
 
7.2%
면 32
 
6.7%
군 28
 
5.9%
천 25
 
5.3%
무 21
 
4.4%
산 21
 
4.4%
주 20
 
4.2%
Other values (48) 189
39.8%
Common
ValueCountFrequency (%)
135
48.7%
2 22
 
7.9%
- 18
 
6.5%
1 17
 
6.1%
5 14
 
5.1%
4 14
 
5.1%
3 13
 
4.7%
8 10
 
3.6%
9 10
 
3.6%
7 7
 
2.5%
Other values (4) 17
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 475
63.2%
ASCII 277
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
135
48.7%
2 22
 
7.9%
- 18
 
6.5%
1 17
 
6.1%
5 14
 
5.1%
4 14
 
5.1%
3 13
 
4.7%
8 10
 
3.6%
9 10
 
3.6%
7 7
 
2.5%
Other values (4) 17
 
6.1%
Hangul
ValueCountFrequency (%)
도 36
 
7.6%
전 35
 
7.4%
라 34
 
7.2%
북 34
 
7.2%
면 32
 
6.7%
군 28
 
5.9%
천 25
 
5.3%
무 21
 
4.4%
산 21
 
4.4%
주 20
 
4.2%
Other values (48) 189
39.8%

소재지지번주소
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T10:00:47.405660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length16.058824
Min length11

Characters and Unicode

Total characters546
Distinct characters57
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

Unique34 ?
Unique (%)100.0%

Sample

1st row군산시 옥도면 대장도리 16
2nd row정읍시 부전동 866-10
3rd row정읍시 신정동 1590
4th row남원시 내령리 255-2
5th row남원시 덕동리 328-2
ValueCountFrequency (%)
무주군 19
 
14.7%
설천면 14
 
10.9%
심곡리 10
 
7.8%
부안군 8
 
6.2%
변산면 7
 
5.4%
삼공리 6
 
4.7%
남원시 4
 
3.1%
격포리 3
 
2.3%
정읍시 2
 
1.6%
도청리 2
 
1.6%
Other values (51) 54
41.9%
2024-03-14T10:00:47.731493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98
17.9%
리 32
 
5.9%
군 28
 
5.1%
면 27
 
4.9%
- 26
 
4.8%
1 25
 
4.6%
무 21
 
3.8%
2 20
 
3.7%
주 20
 
3.7%
6 18
 
3.3%
Other values (47) 231
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 286
52.4%
Decimal Number 136
24.9%
Space Separator 98
 
17.9%
Dash Punctuation 26
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 32
 
11.2%
군 28
 
9.8%
면 27
 
9.4%
무 21
 
7.3%
주 20
 
7.0%
천 15
 
5.2%
설 14
 
4.9%
심 10
 
3.5%
곡 10
 
3.5%
부 9
 
3.1%
Other values (35) 100
35.0%
Decimal Number
ValueCountFrequency (%)
1 25
18.4%
2 20
14.7%
6 18
13.2%
5 16
11.8%
8 13
9.6%
3 13
9.6%
4 12
8.8%
7 8
 
5.9%
0 7
 
5.1%
9 4
 
2.9%
Space Separator
ValueCountFrequency (%)
98
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 286
52.4%
Common 260
47.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 32
 
11.2%
군 28
 
9.8%
면 27
 
9.4%
무 21
 
7.3%
주 20
 
7.0%
천 15
 
5.2%
설 14
 
4.9%
심 10
 
3.5%
곡 10
 
3.5%
부 9
 
3.1%
Other values (35) 100
35.0%
Common
ValueCountFrequency (%)
98
37.7%
- 26
 
10.0%
1 25
 
9.6%
2 20
 
7.7%
6 18
 
6.9%
5 16
 
6.2%
8 13
 
5.0%
3 13
 
5.0%
4 12
 
4.6%
7 8
 
3.1%
Other values (2) 11
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 286
52.4%
ASCII 260
47.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
98
37.7%
- 26
 
10.0%
1 25
 
9.6%
2 20
 
7.7%
6 18
 
6.9%
5 16
 
6.2%
8 13
 
5.0%
3 13
 
5.0%
4 12
 
4.6%
7 8
 
3.1%
Other values (2) 11
 
4.2%
Hangul
ValueCountFrequency (%)
리 32
 
11.2%
군 28
 
9.8%
면 27
 
9.4%
무 21
 
7.3%
주 20
 
7.0%
천 15
 
5.2%
설 14
 
4.9%
심 10
 
3.5%
곡 10
 
3.5%
부 9
 
3.1%
Other values (35) 100
35.0%

전화번호
Text

MISSING 

Distinct31
Distinct (%)100.0%
Missing3
Missing (%)8.8%
Memory size404.0 B
2024-03-14T10:00:47.901281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.225806
Min length12

Characters and Unicode

Total characters379
Distinct characters12
Distinct categories3 ?
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 (%)100.0%

Sample

1st row063-468-7300
2nd row063-536-2242
3rd row063-625-3659
4th row063-625-4051
5th row063-625-3484
ValueCountFrequency (%)
063-468-7300 1
 
3.2%
063-322-7373 1
 
3.2%
063-322-3074 1
 
3.2%
063-581-5353 1
 
3.2%
063-582-7500 1
 
3.2%
063-583-0709 1
 
3.2%
063-583-8964 1
 
3.2%
063-226-0913 1
 
3.2%
063-583-1559 1
 
3.2%
063-581-7979 1
 
3.2%
Other values (21) 21
67.7%
2024-03-14T10:00:48.202825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 66
17.4%
- 62
16.4%
0 53
14.0%
6 43
11.3%
2 43
11.3%
5 27
7.1%
7 21
 
5.5%
8 19
 
5.0%
9 17
 
4.5%
4 13
 
3.4%
Other values (2) 15
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 312
82.3%
Dash Punctuation 62
 
16.4%
Space Separator 5
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 66
21.2%
0 53
17.0%
6 43
13.8%
2 43
13.8%
5 27
8.7%
7 21
 
6.7%
8 19
 
6.1%
9 17
 
5.4%
4 13
 
4.2%
1 10
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 379
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 66
17.4%
- 62
16.4%
0 53
14.0%
6 43
11.3%
2 43
11.3%
5 27
7.1%
7 21
 
5.5%
8 19
 
5.0%
9 17
 
4.5%
4 13
 
3.4%
Other values (2) 15
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 379
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 66
17.4%
- 62
16.4%
0 53
14.0%
6 43
11.3%
2 43
11.3%
5 27
7.1%
7 21
 
5.5%
8 19
 
5.0%
9 17
 
4.5%
4 13
 
3.4%
Other values (2) 15
 
4.0%

객실수
Real number (ℝ)

Distinct19
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.852941
Minimum2
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-03-14T10:00:48.378507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.65
Q16.25
median9
Q317.5
95-th percentile27
Maximum29
Range27
Interquartile range (IQR)11.25

Descriptive statistics

Standard deviation7.4187819
Coefficient of variation (CV)0.62590219
Kurtosis-0.27382082
Mean11.852941
Median Absolute Deviation (MAD)5
Skewness0.80701134
Sum403
Variance55.038324
MonotonicityNot monotonic
2024-03-14T10:00:48.479366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
8 5
14.7%
4 3
 
8.8%
18 2
 
5.9%
19 2
 
5.9%
16 2
 
5.9%
6 2
 
5.9%
10 2
 
5.9%
5 2
 
5.9%
9 2
 
5.9%
7 2
 
5.9%
Other values (9) 10
29.4%
ValueCountFrequency (%)
2 1
 
2.9%
3 1
 
2.9%
4 3
8.8%
5 2
 
5.9%
6 2
 
5.9%
7 2
 
5.9%
8 5
14.7%
9 2
 
5.9%
10 2
 
5.9%
12 1
 
2.9%
ValueCountFrequency (%)
29 1
2.9%
27 2
5.9%
22 1
2.9%
20 1
2.9%
19 2
5.9%
18 2
5.9%
16 2
5.9%
15 1
2.9%
14 1
2.9%
12 1
2.9%

부대시설
Categorical

Distinct12
Distinct (%)35.3%
Missing0
Missing (%)0.0%
Memory size404.0 B
ㅇ바베큐장: 1개
14 
<NA>
7 
ㅇ바비큐장 : 1개
4 
ㅇ바베큐장: 1개 ㅇ수영장: 1개
 
1
ㅇ수영장: 1개 ㅇ바베큐장: 1개
 
1
Other values (7)
7 

Length

Max length18
Median length14
Mean length8.7352941
Min length4

Unique

Unique9 ?
Unique (%)26.5%

Sample

1st rowㅇ바베큐장: 1개
2nd rowㅇ바베큐장: 1개
3rd rowㅇ바베큐장: 1개 ㅇ수영장: 1개
4th rowㅇ바베큐장: 1개
5th rowㅇ바베큐장: 1개

Common Values

ValueCountFrequency (%)
ㅇ바베큐장: 1개 14
41.2%
<NA> 7
20.6%
ㅇ바비큐장 : 1개 4
 
11.8%
ㅇ바베큐장: 1개 ㅇ수영장: 1개 1
 
2.9%
ㅇ수영장: 1개 ㅇ바베큐장: 1개 1
 
2.9%
ㅇ바베큐장: 8개 1
 
2.9%
ㅇ바베큐장: 2개 1
 
2.9%
ㅇ바베큐장: 5개 1
 
2.9%
ㅇ바비큐장 : 2개 1
 
2.9%
ㅇ바비큐장 : 3개 1
 
2.9%
Other values (2) 2
 
5.9%

Length

2024-03-14T10:00:48.586601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1개 22
30.1%
ㅇ바베큐장 19
26.0%
ㅇ바비큐장 8
 
11.0%
8
 
11.0%
na 7
 
9.6%
ㅇ수영장 2
 
2.7%
2개 2
 
2.7%
5개 2
 
2.7%
8개 1
 
1.4%
3개 1
 
1.4%

주차장보유여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

결제방법
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

홈페이지주소
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing5
Missing (%)14.7%
Memory size404.0 B
2024-03-14T10:00:48.767661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length24
Mean length20.482759
Min length10

Characters and Unicode

Total characters594
Distinct characters43
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

Unique29 ?
Unique (%)100.0%

Sample

1st rowhttp://www.jangjaland.com/
2nd rowhttp://bramspension.kr/
3rd rowhttp://www.valleypension.kr/
4th rowhttp://www.dhoo.co.kr
5th rowhttp://www.dukdong.net
ValueCountFrequency (%)
http://www.jangjaland.com 1
 
3.4%
www.9000valley.com 1
 
3.4%
sopoongnori.com 1
 
3.4%
doublehealing.com 1
 
3.4%
www.sundown.kr 1
 
3.4%
www.healingsea.co.kr 1
 
3.4%
www.bspt.kr 1
 
3.4%
www.stpaulpension.com 1
 
3.4%
www.dalgang.co.kr 1
 
3.4%
blog.naver.com/seorim_yeonga 1
 
3.4%
Other values (19) 19
65.5%
2024-03-14T10:00:49.075639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 73
 
12.3%
. 62
 
10.4%
o 50
 
8.4%
e 34
 
5.7%
n 32
 
5.4%
c 30
 
5.1%
t 26
 
4.4%
/ 24
 
4.0%
r 24
 
4.0%
m 24
 
4.0%
Other values (33) 215
36.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 476
80.1%
Other Punctuation 95
 
16.0%
Other Letter 12
 
2.0%
Space Separator 5
 
0.8%
Decimal Number 4
 
0.7%
Dash Punctuation 1
 
0.2%
Connector Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 73
15.3%
o 50
 
10.5%
e 34
 
7.1%
n 32
 
6.7%
c 30
 
6.3%
t 26
 
5.5%
r 24
 
5.0%
m 24
 
5.0%
a 22
 
4.6%
s 19
 
4.0%
Other values (13) 142
29.8%
Other Letter
ValueCountFrequency (%)
펜 1
8.3%
방 1
8.3%
가 1
8.3%
행 1
8.3%
여 1
8.3%
션 1
8.3%
드 1
8.3%
랜 1
8.3%
버 1
8.3%
네 1
8.3%
Other values (2) 2
16.7%
Other Punctuation
ValueCountFrequency (%)
. 62
65.3%
/ 24
 
25.3%
: 9
 
9.5%
Decimal Number
ValueCountFrequency (%)
0 3
75.0%
9 1
 
25.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 476
80.1%
Common 106
 
17.8%
Hangul 12
 
2.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 73
15.3%
o 50
 
10.5%
e 34
 
7.1%
n 32
 
6.7%
c 30
 
6.3%
t 26
 
5.5%
r 24
 
5.0%
m 24
 
5.0%
a 22
 
4.6%
s 19
 
4.0%
Other values (13) 142
29.8%
Hangul
ValueCountFrequency (%)
펜 1
8.3%
방 1
8.3%
가 1
8.3%
행 1
8.3%
여 1
8.3%
션 1
8.3%
드 1
8.3%
랜 1
8.3%
버 1
8.3%
네 1
8.3%
Other values (2) 2
16.7%
Common
ValueCountFrequency (%)
. 62
58.5%
/ 24
 
22.6%
: 9
 
8.5%
5
 
4.7%
0 3
 
2.8%
9 1
 
0.9%
- 1
 
0.9%
_ 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 582
98.0%
Hangul 12
 
2.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 73
 
12.5%
. 62
 
10.7%
o 50
 
8.6%
e 34
 
5.8%
n 32
 
5.5%
c 30
 
5.2%
t 26
 
4.5%
/ 24
 
4.1%
r 24
 
4.1%
m 24
 
4.1%
Other values (21) 203
34.9%
Hangul
ValueCountFrequency (%)
펜 1
8.3%
방 1
8.3%
가 1
8.3%
행 1
8.3%
여 1
8.3%
션 1
8.3%
드 1
8.3%
랜 1
8.3%
버 1
8.3%
네 1
8.3%
Other values (2) 2
16.7%

주변관광정보
Text

MISSING 

Distinct23
Distinct (%)85.2%
Missing7
Missing (%)20.6%
Memory size404.0 B
2024-03-14T10:00:49.237891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length11.407407
Min length6

Characters and Unicode

Total characters308
Distinct characters77
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)70.4%

Sample

1st row선유도 해수욕장
2nd row내장산 문화광장
3rd row내장산리조트관광단지
4th row지리산 국립공원, 실상사
5th row달궁계곡, 지리산 뱀사골
ValueCountFrequency (%)
덕유산 10
16.4%
국립공원 10
16.4%
구천동계곡 4
 
6.6%
무주리조트 4
 
6.6%
지리산 3
 
4.9%
달궁계곡 2
 
3.3%
뱀사골 2
 
3.3%
구천동 2
 
3.3%
내소사 1
 
1.6%
채석강 1
 
1.6%
Other values (22) 22
36.1%
2024-03-14T10:00:49.496596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34
 
11.0%
, 18
 
5.8%
산 17
 
5.5%
국 11
 
3.6%
원 11
 
3.6%
유 11
 
3.6%
덕 10
 
3.2%
립 10
 
3.2%
공 10
 
3.2%
구 8
 
2.6%
Other values (67) 168
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 256
83.1%
Space Separator 34
 
11.0%
Other Punctuation 18
 
5.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 17
 
6.6%
국 11
 
4.3%
원 11
 
4.3%
유 11
 
4.3%
덕 10
 
3.9%
립 10
 
3.9%
공 10
 
3.9%
구 8
 
3.1%
리 8
 
3.1%
장 8
 
3.1%
Other values (65) 152
59.4%
Space Separator
ValueCountFrequency (%)
34
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 256
83.1%
Common 52
 
16.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 17
 
6.6%
국 11
 
4.3%
원 11
 
4.3%
유 11
 
4.3%
덕 10
 
3.9%
립 10
 
3.9%
공 10
 
3.9%
구 8
 
3.1%
리 8
 
3.1%
장 8
 
3.1%
Other values (65) 152
59.4%
Common
ValueCountFrequency (%)
34
65.4%
, 18
34.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 256
83.1%
ASCII 52
 
16.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34
65.4%
, 18
34.6%
Hangul
ValueCountFrequency (%)
산 17
 
6.6%
국 11
 
4.3%
원 11
 
4.3%
유 11
 
4.3%
덕 10
 
3.9%
립 10
 
3.9%
공 10
 
3.9%
구 8
 
3.1%
리 8
 
3.1%
장 8
 
3.1%
Other values (65) 152
59.4%

위도
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing3
Missing (%)8.8%
Infinite0
Infinite (%)0.0%
Mean35.765604
Minimum35.350442
Maximum36.005193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-03-14T10:00:49.627956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.350442
5-th percentile35.375267
Q135.623609
median35.899142
Q335.909109
95-th percentile35.921361
Maximum36.005193
Range0.654751
Interquartile range (IQR)0.2855005

Descriptive statistics

Standard deviation0.19932686
Coefficient of variation (CV)0.005573144
Kurtosis-0.46516125
Mean35.765604
Median Absolute Deviation (MAD)0.02195
Skewness-0.94100365
Sum1108.7337
Variance0.039731197
MonotonicityNot monotonic
2024-03-14T10:00:49.757241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
35.527639 1
 
2.9%
35.701439 1
 
2.9%
35.668092 1
 
2.9%
35.641691 1
 
2.9%
35.637959 1
 
2.9%
35.605945 1
 
2.9%
35.596119 1
 
2.9%
35.609259 1
 
2.9%
35.911657 1
 
2.9%
35.881719 1
 
2.9%
Other values (21) 21
61.8%
(Missing) 3
 
8.8%
ValueCountFrequency (%)
35.350442 1
2.9%
35.351633 1
2.9%
35.398901 1
2.9%
35.401484 1
2.9%
35.527639 1
2.9%
35.596119 1
2.9%
35.605945 1
2.9%
35.609259 1
2.9%
35.637959 1
2.9%
35.641691 1
2.9%
ValueCountFrequency (%)
36.005193 1
2.9%
35.92989 1
2.9%
35.912832 1
2.9%
35.912661 1
2.9%
35.911657 1
2.9%
35.911588 1
2.9%
35.910526 1
2.9%
35.909159 1
2.9%
35.90906 1
2.9%
35.908456 1
2.9%

경도
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing3
Missing (%)8.8%
Infinite0
Infinite (%)0.0%
Mean127.37992
Minimum126.3936
Maximum127.8221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-03-14T10:00:49.900050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.3936
5-th percentile126.46582
Q1126.72697
median127.75566
Q3127.76714
95-th percentile127.80119
Maximum127.8221
Range1.428495
Interquartile range (IQR)1.040165

Descriptive statistics

Standard deviation0.56169035
Coefficient of variation (CV)0.0044095674
Kurtosis-1.0166263
Mean127.37992
Median Absolute Deviation (MAD)0.035481
Skewness-0.95584467
Sum3948.7776
Variance0.31549605
MonotonicityNot monotonic
2024-03-14T10:00:50.002163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
126.896444 1
 
2.9%
126.551181 1
 
2.9%
126.516116 1
 
2.9%
126.467261 1
 
2.9%
126.464734 1
 
2.9%
126.485465 1
 
2.9%
126.557501 1
 
2.9%
126.466913 1
 
2.9%
127.75697 1
 
2.9%
127.821574 1
 
2.9%
Other values (21) 21
61.8%
(Missing) 3
 
8.8%
ValueCountFrequency (%)
126.393602 1
2.9%
126.464734 1
2.9%
126.466913 1
2.9%
126.467261 1
2.9%
126.485465 1
2.9%
126.516116 1
2.9%
126.551181 1
2.9%
126.557501 1
2.9%
126.896444 1
2.9%
127.430691 1
2.9%
ValueCountFrequency (%)
127.822097 1
2.9%
127.821574 1
2.9%
127.780801 1
2.9%
127.780367 1
2.9%
127.779316 1
2.9%
127.775718 1
2.9%
127.773292 1
2.9%
127.770484 1
2.9%
127.763791 1
2.9%
127.757952 1
2.9%

데이터기준일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

Interactions

2024-03-14T10:00:45.187519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T10:00:44.716701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T10:00:44.943517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T10:00:45.266916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T10:00:44.783267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T10:00:45.011934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T10:00:45.347435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T10:00:44.859316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T10:00:45.092605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T10:00:50.080916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지도로명주소소재지지번주소전화번호객실수부대시설홈페이지주소주변관광정보위도경도
업소명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
객실수1.0001.0001.0001.0001.0000.0001.0000.8870.4770.000
부대시설1.0001.0001.0001.0000.0001.0001.0000.9090.0000.723
홈페이지주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
주변관광정보1.0001.0001.0001.0000.8870.9091.0001.0001.0001.000
위도1.0001.0001.0001.0000.4770.0001.0001.0001.0000.908
경도1.0001.0001.0001.0000.0000.7231.0001.0000.9081.000
2024-03-14T10:00:50.180582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
객실수위도경도부대시설
객실수1.0000.072-0.1170.000
위도0.0721.0000.4940.000
경도-0.1170.4941.0000.403
부대시설0.0000.0000.4031.000

Missing values

2024-03-14T10:00:45.457042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:00:45.679136image/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.
2024-03-14T10:00:45.787560image/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

업소명업종명서비스대상구분외국어안내서비스소재지도로명주소소재지지번주소전화번호객실수부대시설주차장보유여부결제방법홈페이지주소주변관광정보위도경도데이터기준일자
0섬마을풍경 관광펜션관광펜션내국인+외국인<NA>전라북도 군산시 옥도면 장자도2길 55-10군산시 옥도면 대장도리 16063-468-730018ㅇ바베큐장: 1개<NA><NA>http://www.jangjaland.com/선유도 해수욕장35.829708126.393602<NA>
1브람스펜션관광펜션내국인+외국인<NA>전라북도 정읍시 내장산로 375(부전동)정읍시 부전동 866-10063-536-22426ㅇ바베큐장: 1개<NA><NA>http://bramspension.kr/내장산 문화광장35.527639126.896444<NA>
2내장산 몽환의 숲 펜션관광펜션내국인+외국인<NA>전라북도 정읍시 용산호반길 26-4정읍시 신정동 1590<NA>4ㅇ바베큐장: 1개 ㅇ수영장: 1개<NA><NA><NA>내장산리조트관광단지<NA><NA><NA>
3지리산밸리관광펜션내국인+외국인<NA>전라북도 남원시 산내면 지리산로 1268남원시 내령리 255-2063-625-365927ㅇ바베큐장: 1개<NA><NA>http://www.valleypension.kr/지리산 국립공원, 실상사35.398901127.602537<NA>
4지리산대호관광펜션관광펜션내국인+외국인<NA>전라북도 남원시 산내면 산내달궁길 10남원시 덕동리 328-2063-625-40517ㅇ바베큐장: 1개<NA><NA>http://www.dhoo.co.kr달궁계곡, 지리산 뱀사골35.350442127.55263<NA>
5덕동관광펜션농원관광펜션내국인+외국인<NA>전라북도 남원시 산내면 지리산로 297남원시 덕동리 336-3063-625-34844ㅇ바베큐장: 1개<NA><NA>http://www.dukdong.net달궁계곡, 지리산 뱀사골35.351633127.552458<NA>
6지리산프리방스관광펜션내국인+외국인<NA>전라북도 남원시 주천면 원천로 345-34남원시 주천면 호기리 241-2063-625-15559ㅇ수영장: 1개 ㅇ바베큐장: 1개<NA><NA>http://www.jfreevence.co.kr구룡폭포, 용담사35.401484127.430691<NA>
7펜션무주네버랜드관광펜션내국인+외국인<NA>전라북도 무주군 무풍면 구천동로 289-55무주군 무풍면 삼거리 137063-322-83388ㅇ바베큐장: 8개<NA><NA>http://www.무주네버랜드.com/덕유산 국립공원35.877192127.822097<NA>
8구름채펜션관광펜션내국인+외국인<NA>전라북도 무주군 설천면 구천동로 962무주군 설천면 삼공리 820-5063-322-99998<NA><NA><NA>http://www.solche.co.kr덕유산 국립공원, 구천동계곡35.906528127.770484<NA>
9리틀프로방스관광펜션내국인+외국인<NA>전라북도 무주군 설천면 구천동로 930-8무주군 설천면 삼공리 734063-322-508819<NA><NA><NA>www.littleprovence.com<NA>35.908428127.773292<NA>
업소명업종명서비스대상구분외국어안내서비스소재지도로명주소소재지지번주소전화번호객실수부대시설주차장보유여부결제방법홈페이지주소주변관광정보위도경도데이터기준일자
24우리두리모텔관광펜션내국인+외국인<NA>전라북도 무주군 설천면 내배방길 9무주군 심곡리 668<NA>16ㅇ바베큐장: 1개<NA><NA><NA><NA>35.911657127.75697<NA>
25미르관광펜션내국인+외국인<NA>전라북도 무주군 설천면 구천동로 1048-23무주군 심곡리 463-2<NA>3ㅇ바베큐장: 1개<NA><NA><NA>채석강, 부안영상테마파크<NA><NA><NA>
26소리섬 펜션관광펜션내국인+외국인<NA>전라북도 부안군 변산면 궁항영상길 72-9부안군 변산면 격포리 643-8063-581-79798ㅇ바비큐장 : 1개<NA><NA><NA>궁항전라좌수영세트장,채석강35.609259126.466913<NA>
27생폴드방스펜션관광펜션내국인+외국인<NA>전라북도 부안군 진서면 구름호수길 52부안군 진서면 운호리 155-10063-583-15594ㅇ바비큐장 : 2개<NA><NA>www.stpaulpension.com내소사, 모항해수욕장35.596119126.557501<NA>
28변산리조트관광펜션내국인+외국인<NA>전라북도 부안군 변산면 격포로 453-8 (453-10)부안군 변산면 도청리 653-11063-226-091315ㅇ바비큐장 : 3개<NA><NA>www.bspt.kr<NA>35.605945126.485465<NA>
29한솔펜션관광펜션내국인+외국인<NA>전라북도 부안군 변산면 변산로 3583부안군 변산면 도청리 152-2063-583-89648ㅇ바비큐장 : 4개<NA><NA><NA><NA><NA><NA><NA>
30힐링의 바다관광펜션내국인+외국인<NA>전라북도 부안군 변산면 변산해변로 146-5부안군 변산면 격포리 110063-583-070910ㅇ바비큐장 : 5개<NA><NA>www.healingsea.co.kr<NA>35.637959126.464734<NA>
31해넘이타운관광펜션내국인+외국인<NA>전라북도 부안군 변산면 변산해변로 188부안군 변산면 격포리 124-4063-582-750020ㅇ바비큐장 : 1개<NA><NA>www.sundown.kr적벽강, 격포해수욕장35.641691126.467261<NA>
32더블힐링펜션관광펜션내국인+외국인<NA>전라북도 부안군 변산면 변산해변로 799-47부안군 변산면 운산리 455-89063-581-535318ㅇ바비큐장 : 1개<NA><NA>doublehealing.com<NA>35.668092126.516116<NA>
33데이나이스 리조트 변산관광펜션내국인+외국인<NA>전라북도 부안군 변산면 변산우회길 3-16부안군 변산면 대항리 528-10063-584-004729ㅇ바비큐장 : 1개<NA><NA>www.dayniceresortbyeonsan.com/변산해수욕장35.701439126.551181<NA>