Overview

Dataset statistics

Number of variables6
Number of observations114
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.6 KiB
Average record size in memory50.2 B

Variable types

Categorical3
Text1
Numeric1
DateTime1

Dataset

Description전라남도 곡성군 농어촌 민박 및 농어촌 펜션 데이터를 제공합니다 ( 전라남도 곡성군 업종명, 업소명, 영업소주소, 객실수를 포함)
URLhttps://www.data.go.kr/data/15106414/fileData.do

Alerts

지역 has constant value ""Constant
데이터 기준일자 has constant value ""Constant
객실수 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 객실수 and 1 other fieldsHigh correlation
영업소주소 is highly overall correlated with 업종명High correlation
업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:30:36.152162
Analysis finished2023-12-12 11:30:36.896378
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
전라남도 곡성군
114 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라남도 곡성군 114
100.0%

Length

2023-12-12T20:30:37.004487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:30:37.152478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 114
50.0%
곡성군 114
50.0%

업종명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
농어촌민박
90 
숙박업(일반)
15 
숙박업(생활)
 
9

Length

Max length7
Median length5
Mean length5.4210526
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row숙박업(일반)
2nd row숙박업(일반)
3rd row숙박업(일반)
4th row숙박업(일반)
5th row숙박업(일반)

Common Values

ValueCountFrequency (%)
농어촌민박 90
78.9%
숙박업(일반) 15
 
13.2%
숙박업(생활) 9
 
7.9%

Length

2023-12-12T20:30:37.344672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:30:37.525651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농어촌민박 90
78.9%
숙박업(일반 15
 
13.2%
숙박업(생활 9
 
7.9%

업소명
Text

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T20:30:37.903754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length5.6929825
Min length1

Characters and Unicode

Total characters649
Distinct characters197
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

Unique114 ?
Unique (%)100.0%

Sample

1st row모텔그랑프리목욕탕
2nd row대원장
3rd row휴
4th row그린가족호텔
5th rowe 편한호텔
ValueCountFrequency (%)
곡성나무펜션 5
 
3.7%
민박 3
 
2.2%
언덕위의 2
 
1.5%
기차마을 2
 
1.5%
황토민박 1
 
0.7%
곡성국사봉민박 1
 
0.7%
착한 1
 
0.7%
농부 1
 
0.7%
당월리댁 1
 
0.7%
숲속에하루민박 1
 
0.7%
Other values (118) 118
86.8%
2023-12-12T20:30:38.518322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
박 45
 
6.9%
민 45
 
6.9%
22
 
3.4%
션 17
 
2.6%
펜 17
 
2.6%
스 13
 
2.0%
곡 12
 
1.8%
하 11
 
1.7%
성 11
 
1.7%
무 10
 
1.5%
Other values (187) 446
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 621
95.7%
Space Separator 22
 
3.4%
Uppercase Letter 2
 
0.3%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%
Lowercase Letter 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
박 45
 
7.2%
민 45
 
7.2%
션 17
 
2.7%
펜 17
 
2.7%
스 13
 
2.1%
곡 12
 
1.9%
하 11
 
1.8%
성 11
 
1.8%
무 10
 
1.6%
텔 10
 
1.6%
Other values (180) 430
69.2%
Uppercase Letter
ValueCountFrequency (%)
H 1
50.0%
D 1
50.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 621
95.7%
Common 25
 
3.9%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
박 45
 
7.2%
민 45
 
7.2%
션 17
 
2.7%
펜 17
 
2.7%
스 13
 
2.1%
곡 12
 
1.9%
하 11
 
1.8%
성 11
 
1.8%
무 10
 
1.6%
텔 10
 
1.6%
Other values (180) 430
69.2%
Common
ValueCountFrequency (%)
22
88.0%
) 1
 
4.0%
( 1
 
4.0%
, 1
 
4.0%
Latin
ValueCountFrequency (%)
e 1
33.3%
H 1
33.3%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 621
95.7%
ASCII 28
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
박 45
 
7.2%
민 45
 
7.2%
션 17
 
2.7%
펜 17
 
2.7%
스 13
 
2.1%
곡 12
 
1.9%
하 11
 
1.8%
성 11
 
1.8%
무 10
 
1.6%
텔 10
 
1.6%
Other values (180) 430
69.2%
ASCII
ValueCountFrequency (%)
22
78.6%
) 1
 
3.6%
( 1
 
3.6%
e 1
 
3.6%
H 1
 
3.6%
, 1
 
3.6%
D 1
 
3.6%

영업소주소
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
오곡면
28 
죽곡면
17 
곡성읍
12 
고달면
10 
곡성읍
9 
Other values (18)
38 

Length

Max length12
Median length5
Mean length5.7192982
Min length2

Unique

Unique10 ?
Unique (%)8.8%

Sample

1st row전남 곡성군 곡성읍
2nd row전라남도 곡성군 석곡면
3rd row전남 곡성군 석곡면
4th row전남 곡성군 오산면
5th row전남 곡성군 오산면

Common Values

ValueCountFrequency (%)
오곡면 28
24.6%
죽곡면 17
14.9%
곡성읍 12
10.5%
고달면 10
 
8.8%
곡성읍 9
 
7.9%
전남 곡성군 오산면 7
 
6.1%
전남 곡성군 곡성읍 6
 
5.3%
전남 곡성군 오곡면 4
 
3.5%
전남 곡성군 죽곡면 3
 
2.6%
오곡면 2
 
1.8%
Other values (13) 16
14.0%

Length

2023-12-12T20:30:38.746806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
오곡면 34
21.0%
곡성읍 27
16.7%
곡성군 24
14.8%
전남 23
14.2%
죽곡면 20
12.3%
고달면 12
 
7.4%
오산면 8
 
4.9%
석곡면 5
 
3.1%
입면 3
 
1.9%
삼기면 2
 
1.2%
Other values (3) 4
 
2.5%

객실수
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.9298246
Minimum1
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T20:30:38.949525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile21.35
Maximum108
Range107
Interquartile range (IQR)3

Descriptive statistics

Standard deviation11.448785
Coefficient of variation (CV)1.9307123
Kurtosis56.415344
Mean5.9298246
Median Absolute Deviation (MAD)1.5
Skewness6.665135
Sum676
Variance131.07468
MonotonicityNot monotonic
2023-12-12T20:30:39.157836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2 31
27.2%
1 25
21.9%
3 20
17.5%
4 6
 
5.3%
6 5
 
4.4%
5 4
 
3.5%
7 3
 
2.6%
18 2
 
1.8%
15 2
 
1.8%
10 2
 
1.8%
Other values (11) 14
12.3%
ValueCountFrequency (%)
1 25
21.9%
2 31
27.2%
3 20
17.5%
4 6
 
5.3%
5 4
 
3.5%
6 5
 
4.4%
7 3
 
2.6%
8 1
 
0.9%
9 1
 
0.9%
10 2
 
1.8%
ValueCountFrequency (%)
108 1
0.9%
29 1
0.9%
27 2
1.8%
22 2
1.8%
21 1
0.9%
19 1
0.9%
18 2
1.8%
16 1
0.9%
15 2
1.8%
14 2
1.8%

데이터 기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2023-04-04 00:00:00
Maximum2023-04-04 00:00:00
2023-12-12T20:30:39.334715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:30:39.472052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T20:30:36.514478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:30:40.003329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명영업소주소객실수
업종명1.0000.9550.591
영업소주소0.9551.0000.736
객실수0.5910.7361.000
2023-12-12T20:30:40.164910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업소주소업종명
영업소주소1.0000.795
업종명0.7951.000
2023-12-12T20:30:40.317671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
객실수업종명영업소주소
객실수1.0000.6010.448
업종명0.6011.0000.795
영업소주소0.4480.7951.000

Missing values

2023-12-12T20:30:36.685992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:30:36.840058image/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

지역업종명업소명영업소주소객실수데이터 기준일자
0전라남도 곡성군숙박업(일반)모텔그랑프리목욕탕전남 곡성군 곡성읍182023-04-04
1전라남도 곡성군숙박업(일반)대원장전라남도 곡성군 석곡면102023-04-04
2전라남도 곡성군숙박업(일반)휴전남 곡성군 석곡면182023-04-04
3전라남도 곡성군숙박업(일반)그린가족호텔전남 곡성군 오산면212023-04-04
4전라남도 곡성군숙박업(일반)e 편한호텔전남 곡성군 오산면272023-04-04
5전라남도 곡성군숙박업(일반)에이스모텔전남 곡성군 오곡면222023-04-04
6전라남도 곡성군숙박업(일반)알프스모텔전남 곡성군 곡성읍192023-04-04
7전라남도 곡성군숙박업(일반)필모텔전남 곡성군 곡성읍272023-04-04
8전라남도 곡성군숙박업(일반)이돈전남 곡성군 오산면92023-04-04
9전라남도 곡성군숙박업(일반)초코릿모텔전남 곡성군 곡성읍122023-04-04
지역업종명업소명영업소주소객실수데이터 기준일자
104전라남도 곡성군농어촌민박섬진강향기농장고달면32023-04-04
105전라남도 곡성군농어촌민박외갓집게스트하우스고달면22023-04-04
106전라남도 곡성군농어촌민박황토지성펜션고달면32023-04-04
107전라남도 곡성군농어촌민박품안의 숲고달면22023-04-04
108전라남도 곡성군농어촌민박하연하림민박옥과면12023-04-04
109전라남도 곡성군농어촌민박심청골민박입면62023-04-04
110전라남도 곡성군농어촌민박콩까미네 민박입면22023-04-04
111전라남도 곡성군농어촌민박제월민박입면12023-04-04
112전라남도 곡성군농어촌민박산골쉼터겸면62023-04-04
113전라남도 곡성군농어촌민박초록마을민박오산면12023-04-04