Overview

Dataset statistics

Number of variables4
Number of observations61
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory35.2 B

Variable types

Categorical2
Text1
Numeric1

Dataset

Description전라남도 무안군 농어촌 민박 및 펜션업소 현황으로 농어촌민박 및 펜선 운영 지역, 업종,업체명, 객실수 등을 제공하는 데이터입니다.
URLhttps://www.data.go.kr/data/15074307/fileData.do

Alerts

지역 has constant value ""Constant
객실수 is highly overall correlated with 업종High correlation
업종 is highly overall correlated with 객실수High correlation
업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:42:58.580432
Analysis finished2023-12-12 00:42:59.019034
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
전라남도 무안군
61 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전라남도 무안군
2nd row전라남도 무안군
3rd row전라남도 무안군
4th row전라남도 무안군
5th row전라남도 무안군

Common Values

ValueCountFrequency (%)
전라남도 무안군 61
100.0%

Length

2023-12-12T09:42:59.091690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:42:59.197725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 61
50.0%
무안군 61
50.0%

업종
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
민박
51 
펜션
10 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
민박 51
83.6%
펜션 10
 
16.4%

Length

2023-12-12T09:42:59.306424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:42:59.409368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민박 51
83.6%
펜션 10
 
16.4%

업체명
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-12T09:42:59.657655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length9
Mean length5.6065574
Min length2

Characters and Unicode

Total characters342
Distinct characters131
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)100.0%

Sample

1st row무안톱관광펜션
2nd row쓰레이스유한회사 하늘 별 바다 펜션 지점
3rd row해비치나루 관광펜션
4th row해양펜션
5th row휴 관광펜션
ValueCountFrequency (%)
바다펜션 2
 
2.6%
스테이 2
 
2.6%
펜션 2
 
2.6%
관광펜션 2
 
2.6%
풀하우스민박 1
 
1.3%
하우스 1
 
1.3%
나비채 1
 
1.3%
노을바다 1
 
1.3%
노을풍경 1
 
1.3%
노을길 1
 
1.3%
Other values (63) 63
81.8%
2023-12-12T09:43:00.218524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
펜 17
 
5.0%
션 17
 
5.0%
16
 
4.7%
민 15
 
4.4%
박 13
 
3.8%
바 12
 
3.5%
스 10
 
2.9%
다 10
 
2.9%
을 9
 
2.6%
노 8
 
2.3%
Other values (121) 215
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 322
94.2%
Space Separator 16
 
4.7%
Uppercase Letter 2
 
0.6%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
펜 17
 
5.3%
션 17
 
5.3%
민 15
 
4.7%
박 13
 
4.0%
바 12
 
3.7%
스 10
 
3.1%
다 10
 
3.1%
을 9
 
2.8%
노 8
 
2.5%
하 8
 
2.5%
Other values (116) 203
63.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
P 1
50.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 322
94.2%
Common 18
 
5.3%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
펜 17
 
5.3%
션 17
 
5.3%
민 15
 
4.7%
박 13
 
4.0%
바 12
 
3.7%
스 10
 
3.1%
다 10
 
3.1%
을 9
 
2.8%
노 8
 
2.5%
하 8
 
2.5%
Other values (116) 203
63.0%
Common
ValueCountFrequency (%)
16
88.9%
( 1
 
5.6%
) 1
 
5.6%
Latin
ValueCountFrequency (%)
M 1
50.0%
P 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 322
94.2%
ASCII 20
 
5.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
펜 17
 
5.3%
션 17
 
5.3%
민 15
 
4.7%
박 13
 
4.0%
바 12
 
3.7%
스 10
 
3.1%
다 10
 
3.1%
을 9
 
2.8%
노 8
 
2.5%
하 8
 
2.5%
Other values (116) 203
63.0%
ASCII
ValueCountFrequency (%)
16
80.0%
M 1
 
5.0%
P 1
 
5.0%
( 1
 
5.0%
) 1
 
5.0%

객실수
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4754098
Minimum1
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2023-12-12T09:43:00.704846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile11
Maximum56
Range55
Interquartile range (IQR)2

Descriptive statistics

Standard deviation7.7965945
Coefficient of variation (CV)1.7420962
Kurtosis33.820258
Mean4.4754098
Median Absolute Deviation (MAD)1
Skewness5.5212092
Sum273
Variance60.786885
MonotonicityNot monotonic
2023-12-12T09:43:00.834836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 27
44.3%
3 12
19.7%
4 9
 
14.8%
1 4
 
6.6%
5 2
 
3.3%
29 1
 
1.6%
8 1
 
1.6%
10 1
 
1.6%
12 1
 
1.6%
11 1
 
1.6%
Other values (2) 2
 
3.3%
ValueCountFrequency (%)
1 4
 
6.6%
2 27
44.3%
3 12
19.7%
4 9
 
14.8%
5 2
 
3.3%
7 1
 
1.6%
8 1
 
1.6%
10 1
 
1.6%
11 1
 
1.6%
12 1
 
1.6%
ValueCountFrequency (%)
56 1
 
1.6%
29 1
 
1.6%
12 1
 
1.6%
11 1
 
1.6%
10 1
 
1.6%
8 1
 
1.6%
7 1
 
1.6%
5 2
 
3.3%
4 9
14.8%
3 12
19.7%

Interactions

2023-12-12T09:42:58.736856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:43:00.938539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종업체명객실수
업종1.0001.0000.667
업체명1.0001.0001.000
객실수0.6671.0001.000
2023-12-12T09:43:01.043842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
객실수업종
객실수1.0000.788
업종0.7881.000

Missing values

2023-12-12T09:42:58.870480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:42:58.984227image/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

지역업종업체명객실수
0전라남도 무안군펜션무안톱관광펜션29
1전라남도 무안군펜션쓰레이스유한회사 하늘 별 바다 펜션 지점8
2전라남도 무안군펜션해비치나루 관광펜션10
3전라남도 무안군펜션해양펜션12
4전라남도 무안군펜션휴 관광펜션5
5전라남도 무안군펜션파티나인에스4
6전라남도 무안군펜션펜션 마블오션11
7전라남도 무안군펜션풀비치펜션7
8전라남도 무안군펜션톱머리 리조트56
9전라남도 무안군펜션파티나인에이4
지역업종업체명객실수
51전라남도 무안군민박에버그린2
52전라남도 무안군민박이도가2
53전라남도 무안군민박승달(애)2
54전라남도 무안군민박코러스빌라2
55전라남도 무안군민박비엔또솔비치2
56전라남도 무안군민박하루를봄3
57전라남도 무안군민박어니언 스테이2
58전라남도 무안군민박갯벌랜드홈펜숀민박1
59전라남도 무안군민박프레종4
60전라남도 무안군민박바람과바다4