Overview

Dataset statistics

Number of variables12
Number of observations43
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory101.1 B

Variable types

Numeric2
Categorical6
Text4

Dataset

Description전북 우수숙박시설 현황(2016. 7월 기준) 업종명 영업소명(공식상) 광역시/도 시군구 주소 총객실수 전화번호 홈페이지 주차장유무 결제방법 부대시설
URLhttps://www.data.go.kr/data/15119313/fileData.do

Alerts

업종명 has constant value ""Constant
광역시도 has constant value ""Constant
결제방법 has constant value ""Constant
연번 has unique valuesUnique
영업소명 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:14:10.353060
Analysis finished2023-12-12 05:14:12.093009
Duration1.74 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.72093
Minimum1
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T14:14:12.157266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.1
Q111.5
median36
Q347
95-th percentile55.9
Maximum58
Range57
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation19.090418
Coefficient of variation (CV)0.62141407
Kurtosis-1.5328259
Mean30.72093
Median Absolute Deviation (MAD)18
Skewness-0.20221218
Sum1321
Variance364.44408
MonotonicityStrictly increasing
2023-12-12T14:14:12.291713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1 1
 
2.3%
2 1
 
2.3%
39 1
 
2.3%
40 1
 
2.3%
41 1
 
2.3%
42 1
 
2.3%
43 1
 
2.3%
44 1
 
2.3%
45 1
 
2.3%
46 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
58 1
2.3%
57 1
2.3%
56 1
2.3%
55 1
2.3%
54 1
2.3%
53 1
2.3%
52 1
2.3%
51 1
2.3%
50 1
2.3%
49 1
2.3%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
숙박업
43 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
숙박업 43
100.0%

Length

2023-12-12T14:14:12.412434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:14:12.510577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
숙박업 43
100.0%

영업소명
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-12T14:14:12.732118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length5.6744186
Min length3

Characters and Unicode

Total characters244
Distinct characters110
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

Unique43 ?
Unique (%)100.0%

Sample

1st row무주이리스모텔
2nd row세르빌호텔
3rd row제일산장
4th row채석리조텔오크빌
5th row모악산모텔
ValueCountFrequency (%)
무주이리스모텔 1
 
1.9%
아리랑호텔 1
 
1.9%
샤르모텔 1
 
1.9%
s모텔(구 1
 
1.9%
금수장 1
 
1.9%
왕궁온천 1
 
1.9%
전주호텔(구 1
 
1.9%
아테네 1
 
1.9%
마이산콘도빌 1
 
1.9%
펜션설화 1
 
1.9%
Other values (42) 42
80.8%
2023-12-12T14:14:13.074322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 28
 
11.5%
호 16
 
6.6%
모 11
 
4.5%
9
 
3.7%
스 7
 
2.9%
리 6
 
2.5%
산 6
 
2.5%
아 5
 
2.0%
) 4
 
1.6%
( 4
 
1.6%
Other values (100) 148
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 221
90.6%
Space Separator 9
 
3.7%
Close Punctuation 4
 
1.6%
Open Punctuation 4
 
1.6%
Decimal Number 3
 
1.2%
Uppercase Letter 2
 
0.8%
Math Symbol 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 28
 
12.7%
호 16
 
7.2%
모 11
 
5.0%
스 7
 
3.2%
리 6
 
2.7%
산 6
 
2.7%
아 5
 
2.3%
빌 4
 
1.8%
우 4
 
1.8%
션 3
 
1.4%
Other values (92) 131
59.3%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
5 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
W 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 221
90.6%
Common 21
 
8.6%
Latin 2
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 28
 
12.7%
호 16
 
7.2%
모 11
 
5.0%
스 7
 
3.2%
리 6
 
2.7%
산 6
 
2.7%
아 5
 
2.3%
빌 4
 
1.8%
우 4
 
1.8%
션 3
 
1.4%
Other values (92) 131
59.3%
Common
ValueCountFrequency (%)
9
42.9%
) 4
19.0%
( 4
19.0%
1 2
 
9.5%
~ 1
 
4.8%
5 1
 
4.8%
Latin
ValueCountFrequency (%)
W 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 221
90.6%
ASCII 23
 
9.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 28
 
12.7%
호 16
 
7.2%
모 11
 
5.0%
스 7
 
3.2%
리 6
 
2.7%
산 6
 
2.7%
아 5
 
2.3%
빌 4
 
1.8%
우 4
 
1.8%
션 3
 
1.4%
Other values (92) 131
59.3%
ASCII
ValueCountFrequency (%)
9
39.1%
) 4
17.4%
( 4
17.4%
1 2
 
8.7%
W 1
 
4.3%
S 1
 
4.3%
~ 1
 
4.3%
5 1
 
4.3%

광역시도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
전북
43 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전북 43
100.0%

Length

2023-12-12T14:14:13.210134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:14:13.314396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전북 43
100.0%

시군구
Categorical

Distinct12
Distinct (%)27.9%
Missing0
Missing (%)0.0%
Memory size476.0 B
전주시
9 
무주군
6 
군산시
6 
남원시
6 
고창군
4 
Other values (7)
12 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique3 ?
Unique (%)7.0%

Sample

1st row무주군
2nd row정읍시
3rd row무주군
4th row부안군
5th row완주군

Common Values

ValueCountFrequency (%)
전주시 9
20.9%
무주군 6
14.0%
군산시 6
14.0%
남원시 6
14.0%
고창군 4
9.3%
부안군 3
 
7.0%
정읍시 2
 
4.7%
진안군 2
 
4.7%
장수군 2
 
4.7%
완주군 1
 
2.3%
Other values (2) 2
 
4.7%

Length

2023-12-12T14:14:13.410227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 9
20.9%
무주군 6
14.0%
군산시 6
14.0%
남원시 6
14.0%
고창군 4
9.3%
부안군 3
 
7.0%
정읍시 2
 
4.7%
진안군 2
 
4.7%
장수군 2
 
4.7%
완주군 1
 
2.3%
Other values (2) 2
 
4.7%

주소
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-12T14:14:13.712720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length29
Mean length22.953488
Min length15

Characters and Unicode

Total characters987
Distinct characters111
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

Unique43 ?
Unique (%)100.0%

Sample

1st row전라북도 무주군 무주읍 한풍루로 381-7
2nd row전라북도 정읍시 내장산로 937
3rd row전라북도 무주군 설천면 구천동1로 156
4th row전라북도 부안군 변산면 격포로 196
5th row전라북도 완주군 구이면 모악산길 104-10
ValueCountFrequency (%)
전라북도 43
 
19.8%
전주시 9
 
4.1%
덕진구 7
 
3.2%
군산시 6
 
2.8%
무주군 6
 
2.8%
남원시 6
 
2.8%
고창읍 4
 
1.8%
고창군 4
 
1.8%
설천면 4
 
1.8%
부안군 3
 
1.4%
Other values (113) 125
57.6%
2023-12-12T14:14:14.167578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
174
 
17.6%
전 54
 
5.5%
도 46
 
4.7%
북 43
 
4.4%
라 43
 
4.4%
1 37
 
3.7%
2 30
 
3.0%
군 25
 
2.5%
시 24
 
2.4%
로 23
 
2.3%
Other values (101) 488
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 613
62.1%
Space Separator 174
 
17.6%
Decimal Number 152
 
15.4%
Dash Punctuation 20
 
2.0%
Open Punctuation 14
 
1.4%
Close Punctuation 14
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 54
 
8.8%
도 46
 
7.5%
북 43
 
7.0%
라 43
 
7.0%
군 25
 
4.1%
시 24
 
3.9%
로 23
 
3.8%
산 22
 
3.6%
주 22
 
3.6%
길 18
 
2.9%
Other values (87) 293
47.8%
Decimal Number
ValueCountFrequency (%)
1 37
24.3%
2 30
19.7%
3 17
11.2%
6 14
 
9.2%
4 14
 
9.2%
9 13
 
8.6%
7 8
 
5.3%
0 7
 
4.6%
5 6
 
3.9%
8 6
 
3.9%
Space Separator
ValueCountFrequency (%)
174
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 613
62.1%
Common 374
37.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 54
 
8.8%
도 46
 
7.5%
북 43
 
7.0%
라 43
 
7.0%
군 25
 
4.1%
시 24
 
3.9%
로 23
 
3.8%
산 22
 
3.6%
주 22
 
3.6%
길 18
 
2.9%
Other values (87) 293
47.8%
Common
ValueCountFrequency (%)
174
46.5%
1 37
 
9.9%
2 30
 
8.0%
- 20
 
5.3%
3 17
 
4.5%
( 14
 
3.7%
) 14
 
3.7%
6 14
 
3.7%
4 14
 
3.7%
9 13
 
3.5%
Other values (4) 27
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 613
62.1%
ASCII 374
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
174
46.5%
1 37
 
9.9%
2 30
 
8.0%
- 20
 
5.3%
3 17
 
4.5%
( 14
 
3.7%
) 14
 
3.7%
6 14
 
3.7%
4 14
 
3.7%
9 13
 
3.5%
Other values (4) 27
 
7.2%
Hangul
ValueCountFrequency (%)
전 54
 
8.8%
도 46
 
7.5%
북 43
 
7.0%
라 43
 
7.0%
군 25
 
4.1%
시 24
 
3.9%
로 23
 
3.8%
산 22
 
3.6%
주 22
 
3.6%
길 18
 
2.9%
Other values (87) 293
47.8%

총객실수
Real number (ℝ)

Distinct25
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.255814
Minimum6
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T14:14:14.294098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile10.3
Q128
median32
Q335.5
95-th percentile49.8
Maximum96
Range90
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation14.006959
Coefficient of variation (CV)0.43424603
Kurtosis9.7492825
Mean32.255814
Median Absolute Deviation (MAD)4
Skewness1.9666816
Sum1387
Variance196.19491
MonotonicityNot monotonic
2023-12-12T14:14:14.407102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
30 5
 
11.6%
32 5
 
11.6%
28 3
 
7.0%
31 3
 
7.0%
50 2
 
4.7%
33 2
 
4.7%
41 2
 
4.7%
35 2
 
4.7%
38 2
 
4.7%
34 2
 
4.7%
Other values (15) 15
34.9%
ValueCountFrequency (%)
6 1
 
2.3%
7 1
 
2.3%
10 1
 
2.3%
13 1
 
2.3%
15 1
 
2.3%
20 1
 
2.3%
23 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 3
7.0%
ValueCountFrequency (%)
96 1
2.3%
50 2
4.7%
48 1
2.3%
42 1
2.3%
41 2
4.7%
40 1
2.3%
38 2
4.7%
36 1
2.3%
35 2
4.7%
34 2
4.7%

전화번호
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-12T14:14:14.622696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.023256
Min length12

Characters and Unicode

Total characters517
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

Unique43 ?
Unique (%)100.0%

Sample

1st row063-324-3400
2nd row063-538-9487
3rd row063-322-3100
4th row063-583-8046
5th row063-222-2023
ValueCountFrequency (%)
063-324-3400 1
 
2.3%
063-273-2233 1
 
2.3%
063-538-5656 1
 
2.3%
063-636-7200 1
 
2.3%
063-584-9931 1
 
2.3%
063-653-3960 1
 
2.3%
063-291-4747 1
 
2.3%
063-247-3333 1
 
2.3%
063-432-4201 1
 
2.3%
063-323-3238 1
 
2.3%
Other values (33) 33
76.7%
2023-12-12T14:14:14.971553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 90
17.4%
- 86
16.6%
0 77
14.9%
6 73
14.1%
2 50
9.7%
4 35
 
6.8%
5 32
 
6.2%
1 20
 
3.9%
7 18
 
3.5%
8 18
 
3.5%
Other values (2) 18
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 430
83.2%
Dash Punctuation 86
 
16.6%
Space Separator 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 90
20.9%
0 77
17.9%
6 73
17.0%
2 50
11.6%
4 35
 
8.1%
5 32
 
7.4%
1 20
 
4.7%
7 18
 
4.2%
8 18
 
4.2%
9 17
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 517
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 90
17.4%
- 86
16.6%
0 77
14.9%
6 73
14.1%
2 50
9.7%
4 35
 
6.8%
5 32
 
6.2%
1 20
 
3.9%
7 18
 
3.5%
8 18
 
3.5%
Other values (2) 18
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 517
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 90
17.4%
- 86
16.6%
0 77
14.9%
6 73
14.1%
2 50
9.7%
4 35
 
6.8%
5 32
 
6.2%
1 20
 
3.9%
7 18
 
3.5%
8 18
 
3.5%
Other values (2) 18
 
3.5%

홈페이지
Text

Distinct31
Distinct (%)72.1%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-12T14:14:15.189224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length30
Mean length15.883721
Min length2

Characters and Unicode

Total characters683
Distinct characters42
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)69.8%

Sample

1st row없음
2nd rowhttp://063-538-9487.114service.co.kr
3rd rowwww.jlsj.co.kr/
4th rowwww.csr063.com/
5th rowhttp://www.moakmotel.com
ValueCountFrequency (%)
없음 13
30.2%
www.gowoodang.com 1
 
2.3%
www.namwonhotel.com 1
 
2.3%
http://www.lecielhotel.com 1
 
2.3%
www.hotelsol.co.kr 1
 
2.3%
www.zaraguest.com 1
 
2.3%
www.tacomaresort.co.kr 1
 
2.3%
www.mj1614.com 1
 
2.3%
www.mujulaube.com 1
 
2.3%
www.seolguk.com 1
 
2.3%
Other values (21) 21
48.8%
2023-12-12T14:14:15.588109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 80
 
11.7%
. 68
 
10.0%
o 44
 
6.4%
t 41
 
6.0%
c 33
 
4.8%
/ 33
 
4.8%
e 32
 
4.7%
m 28
 
4.1%
a 26
 
3.8%
r 25
 
3.7%
Other values (32) 273
40.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 493
72.2%
Other Punctuation 112
 
16.4%
Decimal Number 40
 
5.9%
Other Letter 26
 
3.8%
Dash Punctuation 8
 
1.2%
Space Separator 4
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 80
16.2%
o 44
 
8.9%
t 41
 
8.3%
c 33
 
6.7%
e 32
 
6.5%
m 28
 
5.7%
a 26
 
5.3%
r 25
 
5.1%
h 25
 
5.1%
n 24
 
4.9%
Other values (15) 135
27.4%
Decimal Number
ValueCountFrequency (%)
3 8
20.0%
1 6
15.0%
6 6
15.0%
4 4
10.0%
5 4
10.0%
2 3
 
7.5%
0 3
 
7.5%
8 3
 
7.5%
7 2
 
5.0%
9 1
 
2.5%
Other Punctuation
ValueCountFrequency (%)
. 68
60.7%
/ 33
29.5%
: 11
 
9.8%
Other Letter
ValueCountFrequency (%)
음 13
50.0%
없 13
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 493
72.2%
Common 164
 
24.0%
Hangul 26
 
3.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 80
16.2%
o 44
 
8.9%
t 41
 
8.3%
c 33
 
6.7%
e 32
 
6.5%
m 28
 
5.7%
a 26
 
5.3%
r 25
 
5.1%
h 25
 
5.1%
n 24
 
4.9%
Other values (15) 135
27.4%
Common
ValueCountFrequency (%)
. 68
41.5%
/ 33
20.1%
: 11
 
6.7%
3 8
 
4.9%
- 8
 
4.9%
1 6
 
3.7%
6 6
 
3.7%
4
 
2.4%
4 4
 
2.4%
5 4
 
2.4%
Other values (5) 12
 
7.3%
Hangul
ValueCountFrequency (%)
음 13
50.0%
없 13
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 657
96.2%
Hangul 26
 
3.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 80
 
12.2%
. 68
 
10.4%
o 44
 
6.7%
t 41
 
6.2%
c 33
 
5.0%
/ 33
 
5.0%
e 32
 
4.9%
m 28
 
4.3%
a 26
 
4.0%
r 25
 
3.8%
Other values (30) 247
37.6%
Hangul
ValueCountFrequency (%)
음 13
50.0%
없 13
50.0%

주차장유무
Categorical

Distinct20
Distinct (%)46.5%
Missing0
Missing (%)0.0%
Memory size476.0 B
30대
7 
20대
6 
40대
5 
25대
4 
50대
4 
Other values (15)
17 

Length

Max length4
Median length3
Mean length3.1162791
Min length3

Unique

Unique13 ?
Unique (%)30.2%

Sample

1st row40대
2nd row50대
3rd row20대
4th row15대
5th row30대

Common Values

ValueCountFrequency (%)
30대 7
16.3%
20대 6
14.0%
40대 5
11.6%
25대 4
 
9.3%
50대 4
 
9.3%
15대 2
 
4.7%
100대 2
 
4.7%
36대 1
 
2.3%
17대 1
 
2.3%
27대 1
 
2.3%
Other values (10) 10
23.3%

Length

2023-12-12T14:14:15.717081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
30대 7
16.3%
20대 6
14.0%
40대 5
11.6%
25대 4
 
9.3%
50대 4
 
9.3%
15대 2
 
4.7%
100대 2
 
4.7%
200대 1
 
2.3%
16대 1
 
2.3%
32대 1
 
2.3%
Other values (10) 10
23.3%

결제방법
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
신용카드, 현금
43 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row신용카드, 현금
2nd row신용카드, 현금
3rd row신용카드, 현금
4th row신용카드, 현금
5th row신용카드, 현금

Common Values

ValueCountFrequency (%)
신용카드, 현금 43
100.0%

Length

2023-12-12T14:14:15.846828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:14:15.936831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신용카드 43
50.0%
현금 43
50.0%

부대시설
Categorical

Distinct21
Distinct (%)48.8%
Missing0
Missing (%)0.0%
Memory size476.0 B
없음
10 
식음료장
3 
사우나실
3 
식당
3 
조식
3 
Other values (16)
21 

Length

Max length17
Median length14
Mean length5.372093
Min length2

Unique

Unique11 ?
Unique (%)25.6%

Sample

1st row없음
2nd row한식당
3rd row세미나실, 족구장 등
4th row식당
5th row없음

Common Values

ValueCountFrequency (%)
없음 10
23.3%
식음료장 3
 
7.0%
사우나실 3
 
7.0%
식당 3
 
7.0%
조식 3
 
7.0%
세미나실 2
 
4.7%
세미나실, 사우나실, 노래방 등 2
 
4.7%
한식당 2
 
4.7%
세미나실, 식음료장 2
 
4.7%
세미나실, 노래방 2
 
4.7%
Other values (11) 11
25.6%

Length

2023-12-12T14:14:16.051710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
세미나실 13
21.0%
없음 10
16.1%
사우나실 6
9.7%
식음료장 5
 
8.1%
노래방 5
 
8.1%
등 4
 
6.5%
식당 3
 
4.8%
조식 3
 
4.8%
족구장 2
 
3.2%
공용pc실 2
 
3.2%
Other values (8) 9
14.5%

Interactions

2023-12-12T14:14:11.126513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:14:10.930496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:14:11.270370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:14:11.024150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:14:16.159842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번영업소명시군구주소총객실수전화번호홈페이지주차장유무부대시설
연번1.0001.0000.2411.0000.0001.0000.3870.2490.616
영업소명1.0001.0001.0001.0001.0001.0001.0001.0001.000
시군구0.2411.0001.0001.0000.5661.0000.5330.0000.576
주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
총객실수0.0001.0000.5661.0001.0001.0000.8550.7180.741
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
홈페이지0.3871.0000.5331.0000.8551.0001.0000.7790.928
주차장유무0.2491.0000.0001.0000.7181.0000.7791.0000.000
부대시설0.6161.0000.5761.0000.7411.0000.9280.0001.000
2023-12-12T14:14:16.283086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주차장유무부대시설시군구
주차장유무1.0000.0000.000
부대시설0.0001.0000.160
시군구0.0000.1601.000
2023-12-12T14:14:16.369940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번총객실수시군구주차장유무부대시설
연번1.000-0.1420.0490.0000.219
총객실수-0.1421.0000.2650.3400.328
시군구0.0490.2651.0000.0000.160
주차장유무0.0000.3400.0001.0000.000
부대시설0.2190.3280.1600.0001.000

Missing values

2023-12-12T14:14:11.476510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:14:12.033270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번업종명영업소명광역시도시군구주소총객실수전화번호홈페이지주차장유무결제방법부대시설
01숙박업무주이리스모텔전북무주군전라북도 무주군 무주읍 한풍루로 381-750063-324-3400없음40대신용카드, 현금없음
12숙박업세르빌호텔전북정읍시전라북도 정읍시 내장산로 93732063-538-9487http://063-538-9487.114service.co.kr50대신용카드, 현금한식당
23숙박업제일산장전북무주군전라북도 무주군 설천면 구천동1로 15620063-322-3100www.jlsj.co.kr/20대신용카드, 현금세미나실, 족구장 등
34숙박업채석리조텔오크빌전북부안군전라북도 부안군 변산면 격포로 19630063-583-8046www.csr063.com/15대신용카드, 현금식당
45숙박업모악산모텔전북완주군전라북도 완주군 구이면 모악산길 104-1026063-222-2023http://www.moakmotel.com30대신용카드, 현금없음
56숙박업웨스턴호텔전북군산시전라북도 군산시 옥서면 선연길 1733063-471-0715www.western-inn.kr/30대신용카드, 현금휴게소
67숙박업지리산칸호텔전북남원시전라북도 남원시 산내면 지리산로 81536063-626-2114http://www.jirisankhanhotel.com40대신용카드, 현금세미나실, 노래방
78숙박업휴모텔(군산)전북군산시전라북도 군산시 가도안1길 6140063-464-6081없음40대신용카드, 현금없음
89숙박업운호관광농원전북부안군전라북도 부안군 진서면 청자로 44929063-584-0970http://cafe.daum.net/uh-farm/40대신용카드, 현금야영장, 족구장
910숙박업호텔홍삼빌전북진안군전라북도 진안군 진안읍 외사양길 16-1028063-433-0396http://www.redginsengspa.kr25대신용카드, 현금한식당
연번업종명영업소명광역시도시군구주소총객실수전화번호홈페이지주차장유무결제방법부대시설
3349숙박업로베펜션전북무주군전라북도 무주군 설천면 구천동1로 12910063-322-9914www.mujulaube.com18대신용카드, 현금세미나실, 노래방
3450숙박업무주 덕유산 레저바이크텔전북무주군전라북도 무주군 설천면 구천동로 9686063-320-2575www.mj1614.com40대신용카드, 현금세미나실, 사우나실, 노래방 등
3551숙박업타코마 팜 리조트전북장수군전라북도 장수군 계남면 장수로 2662-1150063-353-8200www.tacomaresort.co.kr200대신용카드, 현금세미나실, 사우나실, 노래방 등
3652숙박업넥스텔전북고창군전라북도 고창군 고창읍 월암수월길 112 (월암리)38063-564-8999없음45대신용카드, 현금없음
3753숙박업자라게스트하우스전북남원시전라북도 남원시 인월면 인월장터로 6 (인월리)7063-626-2129www.zaraguest.com20대신용카드, 현금조식
3854숙박업W 호텔전북군산시전라북도 군산시 소룡1길 58 (소룡동)41063-464-6205없음32대신용카드, 현금공공pc실, 카페
3955숙박업솔호텔전북전주시전라북도 전주시 덕진구 아중2길 22-4 (우아동2가 928-5번지)30063-261-7000www.hotelsol.co.kr25대신용카드, 현금없음
4056숙박업르시엘전북전주시전라북도 전주시 덕진구 산정2길 23(산정동)31063-245-4848http://www.lecielhotel.com50대신용카드, 현금노래방
4157숙박업남원호텔전북남원시전라북도 남원시 주천면 정령치로 122-11(주천면)35063-626-3535www.namwonhotel.com100대신용카드, 현금뷔폐식당
4258숙박업호텔석정힐전북고창군전라북도 고창군 고창읍 방장로 1228063-563-7711www.hillcc.com60대신용카드, 현금세미나실