Overview

Dataset statistics

Number of variables8
Number of observations185
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.6 KiB
Average record size in memory69.7 B

Variable types

Numeric5
Categorical3

Dataset

Description전공항 마리나의 월별 계류장 등록현황입니다. 월별 계류장 등록현황에서 선박종류, 총톤수, 길이, 넓이, 깊이를 확인할 수 있습니다.
Author화성도시공사
URLhttps://www.data.go.kr/data/15126901/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 구분High correlation
총톤수 is highly overall correlated with 길이 and 2 other fieldsHigh correlation
길이 is highly overall correlated with 총톤수 and 2 other fieldsHigh correlation
넓이 is highly overall correlated with 총톤수 and 2 other fieldsHigh correlation
깊이 is highly overall correlated with 총톤수 and 2 other fieldsHigh correlation
구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
총톤수 has 3 (1.6%) zerosZeros
넓이 has 3 (1.6%) zerosZeros
깊이 has 3 (1.6%) zerosZeros

Reproduction

Analysis started2024-03-14 11:50:24.237937
Analysis finished2024-03-14 11:50:31.760418
Duration7.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct185
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93
Minimum1
Maximum185
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-14T20:50:31.967928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.2
Q147
median93
Q3139
95-th percentile175.8
Maximum185
Range184
Interquartile range (IQR)92

Descriptive statistics

Standard deviation53.549043
Coefficient of variation (CV)0.57579616
Kurtosis-1.2
Mean93
Median Absolute Deviation (MAD)46
Skewness0
Sum17205
Variance2867.5
MonotonicityStrictly increasing
2024-03-14T20:50:32.412503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
128 1
 
0.5%
119 1
 
0.5%
120 1
 
0.5%
121 1
 
0.5%
122 1
 
0.5%
123 1
 
0.5%
124 1
 
0.5%
125 1
 
0.5%
126 1
 
0.5%
Other values (175) 175
94.6%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
185 1
0.5%
184 1
0.5%
183 1
0.5%
182 1
0.5%
181 1
0.5%
180 1
0.5%
179 1
0.5%
178 1
0.5%
177 1
0.5%
176 1
0.5%

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
해상
145 
육상
40 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해상 145
78.4%
육상 40
 
21.6%

Length

2024-03-14T20:50:32.841983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:50:33.166610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해상 145
78.4%
육상 40
 
21.6%

선박종류
Categorical

Distinct11
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
모터보트
114 
세일링요트
32 
기선
13 
범선
 
10
동력요트
 
8
Other values (6)
 
8

Length

Max length7
Median length4
Mean length3.9135135
Min length2

Unique

Unique5 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
모터보트 114
61.6%
세일링요트 32
 
17.3%
기선 13
 
7.0%
범선 10
 
5.4%
동력요트 8
 
4.3%
보트 3
 
1.6%
모트보트 1
 
0.5%
모터모트 1
 
0.5%
세일리요트 1
 
0.5%
세일요트 1
 
0.5%

Length

2024-03-14T20:50:33.527917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
모터보트 114
61.6%
세일링요트 32
 
17.3%
기선 13
 
7.0%
범선 10
 
5.4%
동력요트 8
 
4.3%
보트 3
 
1.6%
모트보트 1
 
0.5%
모터모트 1
 
0.5%
세일리요트 1
 
0.5%
세일요트 1
 
0.5%

총톤수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct84
Distinct (%)45.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.9021622
Minimum0
Maximum24
Zeros3
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-14T20:50:33.917926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.3
Q12.9
median5.2
Q37.5
95-th percentile14.8
Maximum24
Range24
Interquartile range (IQR)4.6

Descriptive statistics

Standard deviation4.0697847
Coefficient of variation (CV)0.68954132
Kurtosis2.2624354
Mean5.9021622
Median Absolute Deviation (MAD)2.3
Skewness1.3326203
Sum1091.9
Variance16.563147
MonotonicityNot monotonic
2024-03-14T20:50:34.371799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.7 7
 
3.8%
3.5 6
 
3.2%
15.0 5
 
2.7%
12.0 5
 
2.7%
7.5 4
 
2.2%
3.2 4
 
2.2%
4.2 4
 
2.2%
13.0 4
 
2.2%
5.7 4
 
2.2%
6.4 4
 
2.2%
Other values (74) 138
74.6%
ValueCountFrequency (%)
0.0 3
1.6%
1.0 3
1.6%
1.1 1
 
0.5%
1.2 2
1.1%
1.3 2
1.1%
1.4 3
1.6%
1.5 1
 
0.5%
1.6 3
1.6%
1.7 3
1.6%
1.8 2
1.1%
ValueCountFrequency (%)
24.0 1
 
0.5%
19.0 1
 
0.5%
18.0 1
 
0.5%
17.0 1
 
0.5%
15.6 1
 
0.5%
15.0 5
2.7%
14.0 1
 
0.5%
13.0 4
2.2%
12.0 5
2.7%
11.3 1
 
0.5%

길이
Real number (ℝ)

HIGH CORRELATION 

Distinct72
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2616216
Minimum5.1
Maximum14.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-14T20:50:34.725090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.1
5-th percentile5.72
Q17.7
median9.1
Q310.6
95-th percentile12.88
Maximum14.8
Range9.7
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation2.0981844
Coefficient of variation (CV)0.22654612
Kurtosis-0.47099982
Mean9.2616216
Median Absolute Deviation (MAD)1.5
Skewness0.17848631
Sum1713.4
Variance4.4023778
MonotonicityNot monotonic
2024-03-14T20:50:35.090489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.6 9
 
4.9%
8.9 7
 
3.8%
9.8 7
 
3.8%
8.8 6
 
3.2%
9.9 5
 
2.7%
10.8 5
 
2.7%
11.9 5
 
2.7%
10.1 5
 
2.7%
6.6 5
 
2.7%
8.1 4
 
2.2%
Other values (62) 127
68.6%
ValueCountFrequency (%)
5.1 1
 
0.5%
5.2 3
1.6%
5.3 1
 
0.5%
5.4 2
1.1%
5.5 1
 
0.5%
5.6 1
 
0.5%
5.7 1
 
0.5%
5.8 1
 
0.5%
6.2 1
 
0.5%
6.3 3
1.6%
ValueCountFrequency (%)
14.8 1
 
0.5%
14.4 1
 
0.5%
13.9 1
 
0.5%
13.2 2
1.1%
13.1 1
 
0.5%
13.0 2
1.1%
12.9 2
1.1%
12.8 1
 
0.5%
12.7 3
1.6%
12.5 2
1.1%

넓이
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct31
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1427027
Minimum0
Maximum7.8
Zeros3
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-14T20:50:35.483333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.2
Q12.6
median3.2
Q33.6
95-th percentile4.4
Maximum7.8
Range7.8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.85412251
Coefficient of variation (CV)0.27177961
Kurtosis5.9049307
Mean3.1427027
Median Absolute Deviation (MAD)0.6
Skewness0.24345208
Sum581.4
Variance0.72952526
MonotonicityNot monotonic
2024-03-14T20:50:35.925420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
2.6 17
 
9.2%
3.4 14
 
7.6%
3.5 13
 
7.0%
3.8 11
 
5.9%
2.4 11
 
5.9%
2.3 10
 
5.4%
3.3 10
 
5.4%
2.8 10
 
5.4%
2.5 10
 
5.4%
3.2 7
 
3.8%
Other values (21) 72
38.9%
ValueCountFrequency (%)
0.0 3
 
1.6%
1.7 1
 
0.5%
1.8 1
 
0.5%
1.9 2
 
1.1%
2.1 1
 
0.5%
2.2 3
 
1.6%
2.3 10
5.4%
2.4 11
5.9%
2.5 10
5.4%
2.6 17
9.2%
ValueCountFrequency (%)
7.8 1
 
0.5%
4.8 1
 
0.5%
4.5 5
2.7%
4.4 5
2.7%
4.3 4
 
2.2%
4.2 5
2.7%
4.1 1
 
0.5%
4.0 5
2.7%
3.9 2
 
1.1%
3.8 11
5.9%

깊이
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5708108
Minimum0
Maximum3.1
Zeros3
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-14T20:50:36.307326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.92
Q11.3
median1.6
Q31.8
95-th percentile2.3
Maximum3.1
Range3.1
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.45637024
Coefficient of variation (CV)0.29053164
Kurtosis1.9439834
Mean1.5708108
Median Absolute Deviation (MAD)0.3
Skewness-0.056161556
Sum290.6
Variance0.2082738
MonotonicityNot monotonic
2024-03-14T20:50:36.683642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1.6 31
16.8%
1.3 22
11.9%
1.4 20
10.8%
1.5 18
9.7%
1.7 12
 
6.5%
1.0 10
 
5.4%
2.0 10
 
5.4%
1.9 8
 
4.3%
2.2 7
 
3.8%
1.8 7
 
3.8%
Other values (12) 40
21.6%
ValueCountFrequency (%)
0.0 3
 
1.6%
0.7 1
 
0.5%
0.8 1
 
0.5%
0.9 5
 
2.7%
1.0 10
5.4%
1.1 6
 
3.2%
1.2 5
 
2.7%
1.3 22
11.9%
1.4 20
10.8%
1.5 18
9.7%
ValueCountFrequency (%)
3.1 1
 
0.5%
3.0 1
 
0.5%
2.5 1
 
0.5%
2.4 6
3.2%
2.3 6
3.2%
2.2 7
3.8%
2.1 4
 
2.2%
2.0 10
5.4%
1.9 8
4.3%
1.8 7
3.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-31
185 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-31
2nd row2023-12-31
3rd row2023-12-31
4th row2023-12-31
5th row2023-12-31

Common Values

ValueCountFrequency (%)
2023-12-31 185
100.0%

Length

2024-03-14T20:50:37.090643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:50:37.406238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-31 185
100.0%

Interactions

2024-03-14T20:50:29.624947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:24.570030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:25.851697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:27.101073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:28.330131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:30.093566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:24.830899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:26.115810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:27.355036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:28.597094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:30.337994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:25.084517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:26.356986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:27.590775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:28.850632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:30.577860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:25.325951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:26.591018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:27.831093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:29.095411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:30.840053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:25.595761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:26.852684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:28.084424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:29.364271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T20:50:37.595670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분선박종류총톤수길이넓이깊이
연번1.0000.9980.1320.3680.5190.3000.270
구분0.9981.0000.0400.0660.3290.0240.095
선박종류0.1320.0401.0000.3100.1770.6240.557
총톤수0.3680.0660.3101.0000.7830.8300.866
길이0.5190.3290.1770.7831.0000.7440.650
넓이0.3000.0240.6240.8300.7441.0000.800
깊이0.2700.0950.5570.8660.6500.8001.000
2024-03-14T20:50:37.866916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분선박종류
구분1.0000.033
선박종류0.0331.000
2024-03-14T20:50:38.126290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번총톤수길이넓이깊이구분선박종류
연번1.0000.0990.1830.1400.0830.9360.061
총톤수0.0991.0000.8220.8620.7770.0930.150
길이0.1830.8221.0000.8410.6790.2460.074
넓이0.1400.8620.8411.0000.7520.0000.364
깊이0.0830.7770.6790.7521.0000.0920.289
구분0.9360.0930.2460.0000.0921.0000.033
선박종류0.0610.1500.0740.3640.2890.0331.000

Missing values

2024-03-14T20:50:31.195701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:50:31.604489image/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

연번구분선박종류총톤수길이넓이깊이데이터기준일자
01해상모터보트3.17.32.31.72023-12-31
12해상모터보트2.67.52.51.12023-12-31
23해상모터보트3.38.12.61.32023-12-31
34해상모터보트2.77.42.41.52023-12-31
45해상모터보트5.29.12.71.42023-12-31
56해상모터보트1.46.92.41.02023-12-31
67해상기선3.57.62.51.42023-12-31
78해상모터보트6.59.03.51.02023-12-31
89해상모터보트2.27.32.61.32023-12-31
910해상모터보트4.38.82.71.62023-12-31
연번구분선박종류총톤수길이넓이깊이데이터기준일자
175176육상모터보트4.48.52.91.52023-12-31
176177육상세일링요트8.411.94.01.72023-12-31
177178육상모터보트13.011.74.32.42023-12-31
178179육상모터보트7.58.93.32.02023-12-31
179180육상모터보트2.77.42.41.52023-12-31
180181육상범선6.98.83.71.62023-12-31
181182육상세일링요트5.410.83.11.62023-12-31
182183육상범선5.07.93.11.72023-12-31
183184육상세일링요트5.89.83.41.52023-12-31
184185육상동력요트3.58.72.91.32023-12-31