Overview

Dataset statistics

Number of variables6
Number of observations67
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory50.9 B

Variable types

Numeric1
DateTime1
Text2
Categorical2

Dataset

Description전라남도 보성군의 농어촌민박펜션현황(인허가일자, 사업장명, 업태구분명, 도로명전체주소 등)자료입니다.
Author전라남도 보성군
URLhttps://www.data.go.kr/data/15074822/fileData.do

Alerts

업태구분명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
사업장명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 14:40:33.729364
Analysis finished2024-03-14 14:40:35.290353
Duration1.56 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34
Minimum1
Maximum67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-14T23:40:35.496289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.3
Q117.5
median34
Q350.5
95-th percentile63.7
Maximum67
Range66
Interquartile range (IQR)33

Descriptive statistics

Standard deviation19.485037
Coefficient of variation (CV)0.57308932
Kurtosis-1.2
Mean34
Median Absolute Deviation (MAD)17
Skewness0
Sum2278
Variance379.66667
MonotonicityStrictly increasing
2024-03-14T23:40:35.935513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
44 1
 
1.5%
50 1
 
1.5%
49 1
 
1.5%
48 1
 
1.5%
47 1
 
1.5%
46 1
 
1.5%
45 1
 
1.5%
43 1
 
1.5%
2 1
 
1.5%
Other values (57) 57
85.1%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
67 1
1.5%
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%

인허가일자
Date

Distinct59
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size664.0 B
Minimum2006-05-04 00:00:00
Maximum2021-11-30 00:00:00
2024-03-14T23:40:36.351393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:40:36.767065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업장명
Text

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size664.0 B
2024-03-14T23:40:37.731321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length5.0447761
Min length1

Characters and Unicode

Total characters338
Distinct characters154
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

Unique67 ?
Unique (%)100.0%

Sample

1st row대원민박
2nd row그린티하우스
3rd row지중해
4th row비치민박
5th row흑산도
ValueCountFrequency (%)
민박 4
 
5.0%
사계절 2
 
2.5%
숲속의 2
 
2.5%
대원민박 1
 
1.2%
오봉산한옥민박 1
 
1.2%
편백숲작은공간 1
 
1.2%
애견 1
 
1.2%
남쪽나라 1
 
1.2%
엄마의정원 1
 
1.2%
풀하우스 1
 
1.2%
Other values (65) 65
81.2%
2024-03-14T23:40:39.079913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
민 34
 
10.1%
박 34
 
10.1%
13
 
3.8%
다 6
 
1.8%
스 6
 
1.8%
원 5
 
1.5%
라 5
 
1.5%
집 5
 
1.5%
이 5
 
1.5%
바 5
 
1.5%
Other values (144) 220
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 317
93.8%
Space Separator 13
 
3.8%
Uppercase Letter 4
 
1.2%
Other Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
민 34
 
10.7%
박 34
 
10.7%
다 6
 
1.9%
스 6
 
1.9%
원 5
 
1.6%
라 5
 
1.6%
집 5
 
1.6%
이 5
 
1.6%
바 5
 
1.6%
의 5
 
1.6%
Other values (135) 207
65.3%
Uppercase Letter
ValueCountFrequency (%)
Y 1
25.0%
A 1
25.0%
T 1
25.0%
S 1
25.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 317
93.8%
Common 17
 
5.0%
Latin 4
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
민 34
 
10.7%
박 34
 
10.7%
다 6
 
1.9%
스 6
 
1.9%
원 5
 
1.6%
라 5
 
1.6%
집 5
 
1.6%
이 5
 
1.6%
바 5
 
1.6%
의 5
 
1.6%
Other values (135) 207
65.3%
Common
ValueCountFrequency (%)
13
76.5%
. 1
 
5.9%
) 1
 
5.9%
( 1
 
5.9%
1 1
 
5.9%
Latin
ValueCountFrequency (%)
Y 1
25.0%
A 1
25.0%
T 1
25.0%
S 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 317
93.8%
ASCII 21
 
6.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
민 34
 
10.7%
박 34
 
10.7%
다 6
 
1.9%
스 6
 
1.9%
원 5
 
1.6%
라 5
 
1.6%
집 5
 
1.6%
이 5
 
1.6%
바 5
 
1.6%
의 5
 
1.6%
Other values (135) 207
65.3%
ASCII
ValueCountFrequency (%)
13
61.9%
Y 1
 
4.8%
. 1
 
4.8%
A 1
 
4.8%
) 1
 
4.8%
( 1
 
4.8%
T 1
 
4.8%
S 1
 
4.8%
1 1
 
4.8%

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size664.0 B
농어촌민박
67 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
농어촌민박 67
100.0%

Length

2024-03-14T23:40:39.491498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:40:39.807367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농어촌민박 67
100.0%

도로명전체주소
Text

Distinct65
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size664.0 B
2024-03-14T23:40:40.829097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length21.925373
Min length18

Characters and Unicode

Total characters1469
Distinct characters97
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

Unique63 ?
Unique (%)94.0%

Sample

1st row전라남도 보성군 문덕면 죽산길 271
2nd row전라남도 보성군 득량면 개울고개길 246-18
3rd row전라남도 보성군 회천면 공룡로 206-38
4th row전라남도 보성군 회천면 남부관광로 2303
5th row전라남도 보성군 회천면 남부관광로 2311-12
ValueCountFrequency (%)
전라남도 67
20.0%
보성군 67
20.0%
회천면 26
 
7.8%
득량면 11
 
3.3%
남부관광로 10
 
3.0%
보성읍 9
 
2.7%
공룡로 8
 
2.4%
문덕면 7
 
2.1%
웅치면 6
 
1.8%
녹차로 4
 
1.2%
Other values (102) 120
35.8%
2024-03-14T23:40:42.401042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
270
18.4%
남 78
 
5.3%
성 77
 
5.2%
보 76
 
5.2%
전 68
 
4.6%
라 67
 
4.6%
도 67
 
4.6%
군 67
 
4.6%
면 55
 
3.7%
2 49
 
3.3%
Other values (87) 595
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 904
61.5%
Space Separator 270
 
18.4%
Decimal Number 259
 
17.6%
Dash Punctuation 36
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 78
 
8.6%
성 77
 
8.5%
보 76
 
8.4%
전 68
 
7.5%
라 67
 
7.4%
도 67
 
7.4%
군 67
 
7.4%
면 55
 
6.1%
길 36
 
4.0%
로 31
 
3.4%
Other values (75) 282
31.2%
Decimal Number
ValueCountFrequency (%)
2 49
18.9%
1 45
17.4%
3 32
12.4%
6 22
8.5%
5 21
8.1%
4 20
7.7%
7 20
7.7%
8 18
 
6.9%
9 17
 
6.6%
0 15
 
5.8%
Space Separator
ValueCountFrequency (%)
270
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 904
61.5%
Common 565
38.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 78
 
8.6%
성 77
 
8.5%
보 76
 
8.4%
전 68
 
7.5%
라 67
 
7.4%
도 67
 
7.4%
군 67
 
7.4%
면 55
 
6.1%
길 36
 
4.0%
로 31
 
3.4%
Other values (75) 282
31.2%
Common
ValueCountFrequency (%)
270
47.8%
2 49
 
8.7%
1 45
 
8.0%
- 36
 
6.4%
3 32
 
5.7%
6 22
 
3.9%
5 21
 
3.7%
4 20
 
3.5%
7 20
 
3.5%
8 18
 
3.2%
Other values (2) 32
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 904
61.5%
ASCII 565
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
270
47.8%
2 49
 
8.7%
1 45
 
8.0%
- 36
 
6.4%
3 32
 
5.7%
6 22
 
3.9%
5 21
 
3.7%
4 20
 
3.5%
7 20
 
3.5%
8 18
 
3.2%
Other values (2) 32
 
5.7%
Hangul
ValueCountFrequency (%)
남 78
 
8.6%
성 77
 
8.5%
보 76
 
8.4%
전 68
 
7.5%
라 67
 
7.4%
도 67
 
7.4%
군 67
 
7.4%
면 55
 
6.1%
길 36
 
4.0%
로 31
 
3.4%
Other values (75) 282
31.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size664.0 B
2024-02-29
67 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-29
2nd row2024-02-29
3rd row2024-02-29
4th row2024-02-29
5th row2024-02-29

Common Values

ValueCountFrequency (%)
2024-02-29 67
100.0%

Length

2024-03-14T23:40:42.618951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:40:42.790351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-29 67
100.0%

Interactions

2024-03-14T23:40:34.239916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T23:40:42.911396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인허가일자사업장명도로명전체주소
연번1.0000.9861.0000.870
인허가일자0.9861.0001.0000.984
사업장명1.0001.0001.0001.000
도로명전체주소0.8700.9841.0001.000

Missing values

2024-03-14T23:40:34.814494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T23:40:35.154308image/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

연번인허가일자사업장명업태구분명도로명전체주소데이터기준일자
012006-05-04대원민박농어촌민박전라남도 보성군 문덕면 죽산길 2712024-02-29
122006-05-04그린티하우스농어촌민박전라남도 보성군 득량면 개울고개길 246-182024-02-29
232006-05-04지중해농어촌민박전라남도 보성군 회천면 공룡로 206-382024-02-29
342006-05-06비치민박농어촌민박전라남도 보성군 회천면 남부관광로 23032024-02-29
452006-05-07흑산도농어촌민박전라남도 보성군 회천면 남부관광로 2311-122024-02-29
562006-05-08종현이네민박농어촌민박전라남도 보성군 회천면 남부관광로 2289-12024-02-29
672006-05-25왕실의 민박(갈멜농원)농어촌민박전라남도 보성군 웅치면 일림로 530-262024-02-29
782006-05-26용추폭포가든민박농어촌민박전라남도 보성군 웅치면 용추덕림길 89-842024-02-29
892006-05-27솔바람농어촌민박전라남도 보성군 웅치면 대산길 2632024-02-29
9102006-05-25녹차향민박농어촌민박전라남도 보성군 회천면 남부관광로 23232024-02-29
연번인허가일자사업장명업태구분명도로명전체주소데이터기준일자
57582020-10-23스테이 모든날농어촌민박전라남도 보성군 득량면 강골길 14-272024-02-29
58592020-11-13사계절 민박농어촌민박전라남도 보성군 벌교읍 월곡길 43-72024-02-29
59602020-12-04숲속의 아침농어촌민박전라남도 보성군 회천면 남부관광로 21732024-02-29
60612020-12-21힐링농어촌민박전라남도 보성군 벌교읍 장호길 57-52024-02-29
61622021-01-20달농어촌민박전라남도 보성군 회천면 남부관광로 1666-12024-02-29
62632021-01-20플라밍고농어촌민박전라남도 보성군 회천면 녹차로 7212024-02-29
63642021-02-08벽옥뜨락농어촌민박전라남도 보성군 보성읍 흥성로 2335-322024-02-29
64652021-03-05생태민박농어촌민박전라남도 보성군 회천면 남부관광로 2287-62024-02-29
65662021-03-15빛그린민박농어촌민박전라남도 보성군 보성읍 녹차로 1047-1352024-02-29
66672021-11-30초록바다농어촌민박전라남도 보성군 회천면 일림산길 317-662024-02-29