Overview

Dataset statistics

Number of variables4
Number of observations35
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory36.8 B

Variable types

Categorical2
Text1
Numeric1

Dataset

Description수상레저안전법 제25조(수상레저활동 금지구역의 지정 등)에 따른 해수면 수상레저활동 금지구역 지정현황 데이터입니다.
URLhttps://www.data.go.kr/data/15032062/fileData.do

Alerts

개수 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 개수High correlation

Reproduction

Analysis started2023-12-12 10:29:26.625458
Analysis finished2023-12-12 10:29:27.051909
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct5
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size412.0 B
서해청
10 
남해청
중부청
동해청
제주청

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서해청 10
28.6%
남해청 9
25.7%
중부청 7
20.0%
동해청 7
20.0%
제주청 2
 
5.7%

Length

2023-12-12T19:29:27.147972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:29:27.281965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서해청 10
28.6%
남해청 9
25.7%
중부청 7
20.0%
동해청 7
20.0%
제주청 2
 
5.7%
Distinct20
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T19:29:27.503407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0285714
Min length3

Characters and Unicode

Total characters106
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)14.3%

Sample

1st row인천서
2nd row인천서
3rd row태안서
4th row보령서
5th row보령서
ValueCountFrequency (%)
인천서 2
 
5.7%
포항서 2
 
5.7%
울산서 2
 
5.7%
창원서 2
 
5.7%
사천서 2
 
5.7%
통영서 2
 
5.7%
부안서 2
 
5.7%
군산서 2
 
5.7%
여수서 2
 
5.7%
완도서 2
 
5.7%
Other values (10) 15
42.9%
2023-12-12T19:29:28.238339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
34.0%
5
 
4.7%
5
 
4.7%
4
 
3.8%
3
 
2.8%
3
 
2.8%
3
 
2.8%
2
 
1.9%
2
 
1.9%
2
 
1.9%
Other values (23) 41
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 106
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
36
34.0%
5
 
4.7%
5
 
4.7%
4
 
3.8%
3
 
2.8%
3
 
2.8%
3
 
2.8%
2
 
1.9%
2
 
1.9%
2
 
1.9%
Other values (23) 41
38.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 106
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
36
34.0%
5
 
4.7%
5
 
4.7%
4
 
3.8%
3
 
2.8%
3
 
2.8%
3
 
2.8%
2
 
1.9%
2
 
1.9%
2
 
1.9%
Other values (23) 41
38.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 106
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
36
34.0%
5
 
4.7%
5
 
4.7%
4
 
3.8%
3
 
2.8%
3
 
2.8%
3
 
2.8%
2
 
1.9%
2
 
1.9%
2
 
1.9%
Other values (23) 41
38.7%

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
해수욕장
20 
기타지역
15 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row해수욕장
2nd row기타지역
3rd row해수욕장
4th row해수욕장
5th row기타지역

Common Values

ValueCountFrequency (%)
해수욕장 20
57.1%
기타지역 15
42.9%

Length

2023-12-12T19:29:28.409940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:29:28.554135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해수욕장 20
57.1%
기타지역 15
42.9%

개수
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)37.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6857143
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T19:29:28.669636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q37.5
95-th percentile16.1
Maximum25
Range24
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation5.6034203
Coefficient of variation (CV)0.98552619
Kurtosis4.0809588
Mean5.6857143
Median Absolute Deviation (MAD)3
Skewness1.9330662
Sum199
Variance31.398319
MonotonicityNot monotonic
2023-12-12T19:29:28.832764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 7
20.0%
3 5
14.3%
2 5
14.3%
4 4
11.4%
6 3
8.6%
7 2
 
5.7%
11 2
 
5.7%
8 2
 
5.7%
21 1
 
2.9%
25 1
 
2.9%
Other values (3) 3
8.6%
ValueCountFrequency (%)
1 7
20.0%
2 5
14.3%
3 5
14.3%
4 4
11.4%
6 3
8.6%
7 2
 
5.7%
8 2
 
5.7%
9 1
 
2.9%
11 2
 
5.7%
12 1
 
2.9%
ValueCountFrequency (%)
25 1
 
2.9%
21 1
 
2.9%
14 1
 
2.9%
12 1
 
2.9%
11 2
5.7%
9 1
 
2.9%
8 2
5.7%
7 2
5.7%
6 3
8.6%
4 4
11.4%

Interactions

2023-12-12T19:29:26.791070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:29:28.918413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지방해양경찰청해양경찰서구분개수
지방해양경찰청1.0001.0000.0000.000
해양경찰서1.0001.0000.0000.637
구분0.0000.0001.0000.737
개수0.0000.6370.7371.000
2023-12-12T19:29:29.042953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분지방해양경찰청
구분1.0000.000
지방해양경찰청0.0001.000
2023-12-12T19:29:29.138132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
개수지방해양경찰청구분
개수1.0000.0000.507
지방해양경찰청0.0001.0000.000
구분0.5070.0001.000

Missing values

2023-12-12T19:29:26.921318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:29:27.008703image/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

지방해양경찰청해양경찰서구분개수
0중부청인천서해수욕장6
1중부청인천서기타지역6
2중부청태안서해수욕장7
3중부청보령서해수욕장3
4중부청보령서기타지역2
5중부청평택서해수욕장4
6중부청평택서기타지역2
7동해청속초서해수욕장21
8동해청속초서기타지역4
9동해청동해서해수욕장25
지방해양경찰청해양경찰서구분개수
25남해청통영서해수욕장12
26남해청통영서기타지역3
27남해청사천서해수욕장6
28남해청사천서기타지역2
29남해청창원서해수욕장1
30남해청창원서기타지역1
31남해청울산서해수욕장4
32남해청울산서기타지역2
33제주청제주서해수욕장8
34제주청서귀포서해수욕장4