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Use Explain Data as an incremental, jumping-off point for further exploration of your data. The possible explanations that it generates help you to see the different values that make up or relate to an analyzed mark in a view. It can tell you about the characteristics of the data points in...
Sometimes Explain Data will not be available for a selected mark, depending on the characteristics of the data source or the view. If Explain Data cannot analyze the selected mark, the Explain Data icon and context menu command will not be available. ...
such as the El Niño-Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD) which can lead to significant changes in sea level, rainfall and temperature15. When superimposed on underlying stresses of climate change, extreme climatic events can...
67. While an inversion for focal mechanisms is difficult to assess due to uncertainties in sensor characteristics68, waveform similarity analysis conducted in this study reveal the presence of anti-correlated events/anti-repeaters within the spatially and temporally constrained event cluster. The two ...
There, more than 19,600 induced events mapped the opening hydraulic fractures with extents of several metres66,67. While an inversion for focal mechanisms is difficult to assess due to uncertainties in sensor characteristics68, waveform similarity analysis conducted in this study reveal the presence ...
afor low flow analysis,the Tank Model method are usually selected among severalrunoff analysis methods, because it can well explain the runoff characteristics of the river basin, such as surface, medium and base runoff in the basin, in its model with separated several tanks. it is very conveni...
the two requirements of isolation between tasks with different characteristics and optimal efficiency. Function Compute asynchronous tasks adopt an independent queue model and an automatic load balancing strategy, and have the ability to perform multi-tenancy isolation without affecting processing performance....
Underlying Characteristics These explanations describe how underlying records of the marks in the view may be contributing to the aggregated value of the measure being explained. Mark attributes can include Extreme Values, Null Values, Number of Records, or the Average Value of the mark. Note: For...
Explain Data is a tool that uncovers and describes relationships in your data. It can't tell you what is causing the relationships or how to interpret the data.You are the expert on your data.Your domain knowledge and intuition are key in helping you decide what characteristics might be inte...