Overview

Dataset statistics

Number of variables7
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory62.5 B

Variable types

Numeric1
Text3
Categorical3

Dataset

Description전북해양수상레저사업장현황_201903
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=203103

Alerts

자료출처 has constant value ""Constant
운영기간 is highly overall correlated with 비고High correlation
비고 is highly overall correlated with 운영기간High correlation
연번 has unique valuesUnique
상호명 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2024-03-14 00:31:10.951944
Analysis finished2024-03-14 00:31:11.555530
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-03-14T09:31:11.602733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q16.75
median12.5
Q318.25
95-th percentile22.85
Maximum24
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.0710678
Coefficient of variation (CV)0.56568542
Kurtosis-1.2
Mean12.5
Median Absolute Deviation (MAD)6
Skewness0
Sum300
Variance50
MonotonicityStrictly increasing
2024-03-14T09:31:11.697379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 1
 
4.2%
14 1
 
4.2%
24 1
 
4.2%
23 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
20 1
 
4.2%
19 1
 
4.2%
18 1
 
4.2%
17 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
1 1
4.2%
2 1
4.2%
3 1
4.2%
4 1
4.2%
5 1
4.2%
6 1
4.2%
7 1
4.2%
8 1
4.2%
9 1
4.2%
10 1
4.2%
ValueCountFrequency (%)
24 1
4.2%
23 1
4.2%
22 1
4.2%
21 1
4.2%
20 1
4.2%
19 1
4.2%
18 1
4.2%
17 1
4.2%
16 1
4.2%
15 1
4.2%

주소
Text

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-03-14T09:31:11.882223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length16.25
Min length13

Characters and Unicode

Total characters390
Distinct characters69
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

Unique22 ?
Unique (%)91.7%

Sample

1st row고창군 상하면 자룡리 529-20
2nd row군산시 옥도면 대장도리 18
3rd row익산시 웅포면 강변로 25
4th row군산시 옥도면 선유도리 115-1
5th row군산시 옥도면 선유도리 115-3
ValueCountFrequency (%)
무주군 14
 
14.4%
부남면 11
 
11.3%
무금로 4
 
4.1%
옥도면 3
 
3.1%
군산시 3
 
3.1%
85 2
 
2.1%
하굴암길 2
 
2.1%
잠두강변길 2
 
2.1%
무주읍 2
 
2.1%
선유도리 2
 
2.1%
Other values (52) 52
53.6%
2024-03-14T09:31:12.174421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73
18.7%
군 21
 
5.4%
면 21
 
5.4%
무 20
 
5.1%
주 18
 
4.6%
1 17
 
4.4%
남 14
 
3.6%
2 14
 
3.6%
부 13
 
3.3%
로 11
 
2.8%
Other values (59) 168
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 235
60.3%
Decimal Number 75
 
19.2%
Space Separator 73
 
18.7%
Dash Punctuation 7
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 21
 
8.9%
면 21
 
8.9%
무 20
 
8.5%
주 18
 
7.7%
남 14
 
6.0%
부 13
 
5.5%
로 11
 
4.7%
길 8
 
3.4%
시 6
 
2.6%
도 6
 
2.6%
Other values (47) 97
41.3%
Decimal Number
ValueCountFrequency (%)
1 17
22.7%
2 14
18.7%
5 10
13.3%
3 8
10.7%
8 8
10.7%
6 5
 
6.7%
9 4
 
5.3%
0 4
 
5.3%
4 3
 
4.0%
7 2
 
2.7%
Space Separator
ValueCountFrequency (%)
73
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 235
60.3%
Common 155
39.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 21
 
8.9%
면 21
 
8.9%
무 20
 
8.5%
주 18
 
7.7%
남 14
 
6.0%
부 13
 
5.5%
로 11
 
4.7%
길 8
 
3.4%
시 6
 
2.6%
도 6
 
2.6%
Other values (47) 97
41.3%
Common
ValueCountFrequency (%)
73
47.1%
1 17
 
11.0%
2 14
 
9.0%
5 10
 
6.5%
3 8
 
5.2%
8 8
 
5.2%
- 7
 
4.5%
6 5
 
3.2%
9 4
 
2.6%
0 4
 
2.6%
Other values (2) 5
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 235
60.3%
ASCII 155
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
73
47.1%
1 17
 
11.0%
2 14
 
9.0%
5 10
 
6.5%
3 8
 
5.2%
8 8
 
5.2%
- 7
 
4.5%
6 5
 
3.2%
9 4
 
2.6%
0 4
 
2.6%
Other values (2) 5
 
3.2%
Hangul
ValueCountFrequency (%)
군 21
 
8.9%
면 21
 
8.9%
무 20
 
8.5%
주 18
 
7.7%
남 14
 
6.0%
부 13
 
5.5%
로 11
 
4.7%
길 8
 
3.4%
시 6
 
2.6%
도 6
 
2.6%
Other values (47) 97
41.3%

상호명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-03-14T09:31:12.356779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10.5
Mean length6.875
Min length4

Characters and Unicode

Total characters165
Distinct characters80
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

Unique24 ?
Unique (%)100.0%

Sample

1st row구시포 레저
2nd rowgo군산마린
3rd row금강관광 개발(유)
4th row선유도 수상레포츠
5th row선유도수상레져 마초마린
ValueCountFrequency (%)
구시포 1
 
3.3%
레저 1
 
3.3%
천마레저 1
 
3.3%
덕유산레저 1
 
3.3%
무주레저스쿨 1
 
3.3%
무주코리아레저 1
 
3.3%
김태홍아카데미 1
 
3.3%
무주최강레저 1
 
3.3%
반딧불레저 1
 
3.3%
금강파워레저 1
 
3.3%
Other values (20) 20
66.7%
2024-03-14T09:31:12.646563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
레 15
 
9.1%
저 11
 
6.7%
무 7
 
4.2%
주 7
 
4.2%
6
 
3.6%
마 5
 
3.0%
강 5
 
3.0%
금 4
 
2.4%
포 4
 
2.4%
선 4
 
2.4%
Other values (70) 97
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 155
93.9%
Space Separator 6
 
3.6%
Lowercase Letter 2
 
1.2%
Open Punctuation 1
 
0.6%
Close Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
레 15
 
9.7%
저 11
 
7.1%
무 7
 
4.5%
주 7
 
4.5%
마 5
 
3.2%
강 5
 
3.2%
금 4
 
2.6%
포 4
 
2.6%
선 4
 
2.6%
유 4
 
2.6%
Other values (65) 89
57.4%
Lowercase Letter
ValueCountFrequency (%)
g 1
50.0%
o 1
50.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 155
93.9%
Common 8
 
4.8%
Latin 2
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
레 15
 
9.7%
저 11
 
7.1%
무 7
 
4.5%
주 7
 
4.5%
마 5
 
3.2%
강 5
 
3.2%
금 4
 
2.6%
포 4
 
2.6%
선 4
 
2.6%
유 4
 
2.6%
Other values (65) 89
57.4%
Common
ValueCountFrequency (%)
6
75.0%
( 1
 
12.5%
) 1
 
12.5%
Latin
ValueCountFrequency (%)
g 1
50.0%
o 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 155
93.9%
ASCII 10
 
6.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
레 15
 
9.7%
저 11
 
7.1%
무 7
 
4.5%
주 7
 
4.5%
마 5
 
3.2%
강 5
 
3.2%
금 4
 
2.6%
포 4
 
2.6%
선 4
 
2.6%
유 4
 
2.6%
Other values (65) 89
57.4%
ASCII
ValueCountFrequency (%)
6
60.0%
g 1
 
10.0%
o 1
 
10.0%
( 1
 
10.0%
) 1
 
10.0%

연락처
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-03-14T09:31:12.815051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.291667
Min length12

Characters and Unicode

Total characters295
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row010-4654-0862
2nd row010-6880-9944
3rd row010-9444-1919
4th row010-7704-6807
5th row010-4151-2129
ValueCountFrequency (%)
010-4654-0862 1
 
4.2%
010-6880-9944 1
 
4.2%
063-322-3388 1
 
4.2%
010-9640-5400 1
 
4.2%
063-323-5882 1
 
4.2%
010-9555-1992 1
 
4.2%
063-323-8000 1
 
4.2%
063-322-6522 1
 
4.2%
063-322-6607 1
 
4.2%
063-322-2076 1
 
4.2%
Other values (14) 14
58.3%
2024-03-14T09:31:13.079673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 48
16.3%
0 46
15.6%
3 39
13.2%
6 32
10.8%
2 32
10.8%
1 21
7.1%
4 20
6.8%
8 16
 
5.4%
5 15
 
5.1%
7 15
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 247
83.7%
Dash Punctuation 48
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 46
18.6%
3 39
15.8%
6 32
13.0%
2 32
13.0%
1 21
8.5%
4 20
8.1%
8 16
 
6.5%
5 15
 
6.1%
7 15
 
6.1%
9 11
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 295
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 48
16.3%
0 46
15.6%
3 39
13.2%
6 32
10.8%
2 32
10.8%
1 21
7.1%
4 20
6.8%
8 16
 
5.4%
5 15
 
5.1%
7 15
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 295
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 48
16.3%
0 46
15.6%
3 39
13.2%
6 32
10.8%
2 32
10.8%
1 21
7.1%
4 20
6.8%
8 16
 
5.4%
5 15
 
5.1%
7 15
 
5.1%

운영기간
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
연중
15 
임시휴업
6 
’18. 5.30~’23. 5.29
 
1
’18. 7.20~’19. 7.19
 
1
’18. 7.20~’20. 5.31
 
1

Length

Max length19
Median length2
Mean length4.625
Min length2

Unique

Unique3 ?
Unique (%)12.5%

Sample

1st row임시휴업
2nd row’18. 5.30~’23. 5.29
3rd row임시휴업
4th row’18. 7.20~’19. 7.19
5th row’18. 7.20~’20. 5.31

Common Values

ValueCountFrequency (%)
연중 15
62.5%
임시휴업 6
 
25.0%
’18. 5.30~’23. 5.29 1
 
4.2%
’18. 7.20~’19. 7.19 1
 
4.2%
’18. 7.20~’20. 5.31 1
 
4.2%

Length

2024-03-14T09:31:13.209573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:31:13.299335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
연중 15
50.0%
임시휴업 6
 
20.0%
’18 3
 
10.0%
5.30~’23 1
 
3.3%
5.29 1
 
3.3%
7.20~’19 1
 
3.3%
7.19 1
 
3.3%
7.20~’20 1
 
3.3%
5.31 1
 
3.3%

비고
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
연중
18 
임시휴업
4 
한시
2 

Length

Max length4
Median length2
Mean length2.3333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한시
2nd row한시
3rd row연중
4th row연중
5th row연중

Common Values

ValueCountFrequency (%)
연중 18
75.0%
임시휴업 4
 
16.7%
한시 2
 
8.3%

Length

2024-03-14T09:31:13.437048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:31:13.538685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
연중 18
75.0%
임시휴업 4
 
16.7%
한시 2
 
8.3%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
해양수산정책과
24 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해양수산정책과 24
100.0%

Length

2024-03-14T09:31:13.652673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:31:13.734332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해양수산정책과 24
100.0%

Interactions

2024-03-14T09:31:11.225933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T09:31:13.783376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번주소상호명연락처운영기간비고
연번1.0000.9191.0001.0000.5620.520
주소0.9191.0001.0001.0000.9400.484
상호명1.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.000
운영기간0.5620.9401.0001.0001.0000.729
비고0.5200.4841.0001.0000.7291.000
2024-03-14T09:31:13.868133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비고운영기간
비고1.0000.685
운영기간0.6851.000
2024-03-14T09:31:13.942580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번운영기간비고
연번1.0000.1850.271
운영기간0.1851.0000.685
비고0.2710.6851.000

Missing values

2024-03-14T09:31:11.401474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T09:31:11.519438image/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

연번주소상호명연락처운영기간비고자료출처
01고창군 상하면 자룡리 529-20구시포 레저010-4654-0862임시휴업한시해양수산정책과
12군산시 옥도면 대장도리 18go군산마린010-6880-9944’18. 5.30~’23. 5.29한시해양수산정책과
23익산시 웅포면 강변로 25금강관광 개발(유)010-9444-1919임시휴업연중해양수산정책과
34군산시 옥도면 선유도리 115-1선유도 수상레포츠010-7704-6807’18. 7.20~’19. 7.19연중해양수산정책과
45군산시 옥도면 선유도리 115-3선유도수상레져 마초마린010-4151-2129’18. 7.20~’20. 5.31연중해양수산정책과
56남원시 주생면 주생 금풍길 268워터월드063-626-9575연중연중해양수산정책과
67김제시 만경읍 만경리 100김제지평선 마린리조트063-548-7774연중연중해양수산정책과
78진안군 마령면 마이산남로 289-5하라레포츠063-432-7117연중연중해양수산정책과
89임실군 관촌면 춘향로 3441-26사선대 해피랜드063-643-0881임시휴업임시휴업해양수산정책과
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