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=020af010-340a-11ea-b188-892391b61e47

Alerts

경도 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
온도 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
경도 has unique valuesUnique
위도 has unique valuesUnique

Reproduction

Analysis started2023-12-10 11:20:23.064748
Analysis finished2023-12-10 11:20:25.430155
Duration2.37 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
2023-12-10T20:20:25.581509image/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
2023-12-10T20:20:25.883756image/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
2023-12-10T20:20:26.559592image/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
2023-12-10T20:20:26.841001image/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%

온도
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean300.11135
Minimum299.25
Maximum301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:27.180072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum299.25
5-th percentile299.306
Q1299.625
median300.021
Q3300.625
95-th percentile300.875
Maximum301
Range1.75
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.51555702
Coefficient of variation (CV)0.0017178858
Kurtosis-1.3152101
Mean300.11135
Median Absolute Deviation (MAD)0.479
Skewness-0.037265764
Sum30011.135
Variance0.26579904
MonotonicityDecreasing
2023-12-10T20:20:27.504539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
300.625 12
 
12.0%
300.0 9
 
9.0%
299.875 7
 
7.0%
300.5 6
 
6.0%
299.5 5
 
5.0%
299.625 5
 
5.0%
300.75 5
 
5.0%
300.125 4
 
4.0%
299.75 4
 
4.0%
300.875 4
 
4.0%
Other values (31) 39
39.0%
ValueCountFrequency (%)
299.25 1
 
1.0%
299.286 1
 
1.0%
299.305 2
2.0%
299.306 2
2.0%
299.307 1
 
1.0%
299.359 1
 
1.0%
299.375 3
3.0%
299.425 1
 
1.0%
299.436 1
 
1.0%
299.49 1
 
1.0%
ValueCountFrequency (%)
301.0 1
 
1.0%
300.977 1
 
1.0%
300.875 4
 
4.0%
300.873 1
 
1.0%
300.842 1
 
1.0%
300.75 5
5.0%
300.745 1
 
1.0%
300.726 1
 
1.0%
300.704 1
 
1.0%
300.625 12
12.0%

Interactions

2023-12-10T20:20:24.589828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:20:23.411976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:20:24.016347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:20:24.805817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:20:23.671596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:20:24.203404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:20:24.958309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:20:23.841803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:20:24.361186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T20:20:27.712688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경도위도온도
경도1.0000.9730.985
위도0.9731.0000.982
온도0.9850.9821.000
2023-12-10T20:20:27.920670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경도위도온도
경도1.0001.000-0.998
위도1.0001.000-0.998
온도-0.998-0.9981.000

Missing values

2023-12-10T20:20:25.208482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T20:20:25.371789image/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

경도위도온도
0121.83432.2569301.0
1121.85132.2576300.977
2121.86732.2583300.875
3121.88332.259300.875
4121.89932.2597300.875
5121.91532.2604300.875
6121.93132.2611300.873
7121.94732.2618300.842
8121.96332.2625300.75
9121.97932.2631300.75
경도위도온도
90123.28232.3095299.375
91123.29932.31299.375
92123.31532.3104299.359
93123.33132.3109299.307
94123.34732.3114299.306
95123.36332.3118299.306
96123.37932.3122299.305
97123.39532.3127299.305
98123.41132.3131299.286
99123.42732.3136299.25