Overview

Dataset statistics

Number of variables3
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory28.3 B

Variable types

Numeric3

Dataset

Description샘플 데이터
Author한국기상산업기술원
URLhttps://www.bigdata-environment.kr/user/data_market/detail.do?id=2918a620-340a-11ea-b188-892391b61e47

Alerts

경도 is highly overall correlated with 위도High correlation
위도 is highly overall correlated with 경도High correlation
경도 has unique valuesUnique
위도 has unique valuesUnique
남북바람 has unique valuesUnique

Reproduction

Analysis started2023-12-10 10:34:21.348685
Analysis finished2023-12-10 10:34:23.537924
Duration2.19 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.63069
Minimum121.834
Maximum123.427
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:34:23.733389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum121.834
5-th percentile121.9142
Q1122.232
median122.631
Q3123.029
95-th percentile123.3478
Maximum123.427
Range1.593
Interquartile range (IQR)0.797

Descriptive statistics

Standard deviation0.46677769
Coefficient of variation (CV)0.0038063692
Kurtosis-1.200182
Mean122.63069
Median Absolute Deviation (MAD)0.4025
Skewness0.00061339049
Sum12263.069
Variance0.21788141
MonotonicityStrictly increasing
2023-12-10T19:34:24.332691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
121.834 1
 
1.0%
122.864 1
 
1.0%
123.025 1
 
1.0%
123.009 1
 
1.0%
122.993 1
 
1.0%
122.977 1
 
1.0%
122.96 1
 
1.0%
122.944 1
 
1.0%
122.928 1
 
1.0%
122.912 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
121.834 1
1.0%
121.851 1
1.0%
121.867 1
1.0%
121.883 1
1.0%
121.899 1
1.0%
121.915 1
1.0%
121.931 1
1.0%
121.947 1
1.0%
121.963 1
1.0%
121.979 1
1.0%
ValueCountFrequency (%)
123.427 1
1.0%
123.411 1
1.0%
123.395 1
1.0%
123.379 1
1.0%
123.363 1
1.0%
123.347 1
1.0%
123.331 1
1.0%
123.315 1
1.0%
123.299 1
1.0%
123.282 1
1.0%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.287438
Minimum32.2569
Maximum32.3136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:34:24.628942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32.2569
5-th percentile32.260365
Q132.27355
median32.2886
Q332.301925
95-th percentile32.31142
Maximum32.3136
Range0.0567
Interquartile range (IQR)0.028375

Descriptive statistics

Standard deviation0.016645871
Coefficient of variation (CV)0.00051555254
Kurtosis-1.1780996
Mean32.287438
Median Absolute Deviation (MAD)0.0142
Skewness-0.16671444
Sum3228.7438
Variance0.00027708501
MonotonicityStrictly increasing
2023-12-10T19:34:24.910120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.2569 1
 
1.0%
32.2966 1
 
1.0%
32.3018 1
 
1.0%
32.3013 1
 
1.0%
32.3008 1
 
1.0%
32.3003 1
 
1.0%
32.2997 1
 
1.0%
32.2992 1
 
1.0%
32.2987 1
 
1.0%
32.2982 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
32.2569 1
1.0%
32.2576 1
1.0%
32.2583 1
1.0%
32.259 1
1.0%
32.2597 1
1.0%
32.2604 1
1.0%
32.2611 1
1.0%
32.2618 1
1.0%
32.2625 1
1.0%
32.2631 1
1.0%
ValueCountFrequency (%)
32.3136 1
1.0%
32.3131 1
1.0%
32.3127 1
1.0%
32.3122 1
1.0%
32.3118 1
1.0%
32.3114 1
1.0%
32.3109 1
1.0%
32.3104 1
1.0%
32.31 1
1.0%
32.3095 1
1.0%

남북바람
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.4948981
Minimum-5.05772
Maximum-0.107525
Zeros0
Zeros (%)0.0%
Negative100
Negative (%)100.0%
Memory size1.0 KiB
2023-12-10T19:34:25.171958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-5.05772
5-th percentile-4.754303
Q1-3.81724
median-2.45811
Q3-1.20799
95-th percentile-0.17778885
Maximum-0.107525
Range4.950195
Interquartile range (IQR)2.60925

Descriptive statistics

Standard deviation1.4980777
Coefficient of variation (CV)-0.60045644
Kurtosis-1.2355699
Mean-2.4948981
Median Absolute Deviation (MAD)1.352785
Skewness0.11868701
Sum-249.48981
Variance2.2442366
MonotonicityNot monotonic
2023-12-10T19:34:25.456217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4.26719 1
 
1.0%
-2.45323 1
 
1.0%
-2.57676 1
 
1.0%
-2.41612 1
 
1.0%
-2.32725 1
 
1.0%
-2.32969 1
 
1.0%
-2.39073 1
 
1.0%
-2.41514 1
 
1.0%
-2.41465 1
 
1.0%
-2.41172 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-5.05772 1
1.0%
-4.98741 1
1.0%
-4.90391 1
1.0%
-4.76817 1
1.0%
-4.75987 1
1.0%
-4.75401 1
1.0%
-4.68663 1
1.0%
-4.63292 1
1.0%
-4.51085 1
1.0%
-4.38877 1
1.0%
ValueCountFrequency (%)
-0.107525 1
1.0%
-0.109478 1
1.0%
-0.118267 1
1.0%
-0.119732 1
1.0%
-0.167583 1
1.0%
-0.178326 1
1.0%
-0.217388 1
1.0%
-0.289165 1
1.0%
-0.296978 1
1.0%
-0.37022 1
1.0%

Interactions

2023-12-10T19:34:22.520657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:34:21.491041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:34:22.054243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:34:22.722637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:34:21.673263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:34:22.213838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:34:22.935647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:34:21.864281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:34:22.377545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T19:34:25.657115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경도위도남북바람
경도1.0000.9730.940
위도0.9731.0000.936
남북바람0.9400.9361.000
2023-12-10T19:34:25.832030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경도위도남북바람
경도1.0001.000-0.067
위도1.0001.000-0.067
남북바람-0.067-0.0671.000

Missing values

2023-12-10T19:34:23.229041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T19:34:23.487358image/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

경도위도남북바람
0121.83432.2569-4.26719
1121.85132.2576-4.38438
2121.86732.2583-4.51085
3121.88332.259-4.63292
4121.89932.2597-4.68663
5121.91532.2604-4.75401
6121.93132.2611-4.76817
7121.94732.2618-4.90391
8121.96332.2625-5.05772
9121.97932.2631-4.98741
경도위도남북바람
90123.28232.3095-3.87803
91123.29932.31-3.94053
92123.31532.3104-4.15489
93123.33132.3109-4.38877
94123.34732.3114-4.22911
95123.36332.3118-3.66465
96123.37932.3122-3.31114
97123.39532.3127-3.30186
98123.41132.3131-3.41319
99123.42732.3136-3.45469