Wolfram Data Drop Quick Reference

Data Processing

Smooth data by taking a moving average:

In[1]:=
Out[1]= {{This creates a new key-value association, the keys of the databin point to an EventSeries of the moving averages.}}
In[2]:=
Out[2]= {{This maps (/@) the previous output (%) onto DateListPlot, which plots the EventSeries.}

Accumulate values to get running totals:

In[1]:=
Out[1]= {{This returns a running total of the data in the databin, expressed as an EventSeries.}}
In[2]:=
Out[2]= {{This maps (/@) the previous output (%) onto DateListPlot, which plots the EventSeries.}

Find averages for blocks of values:

In[1]:=
Out[1]= {{This computes the mean value of the data in the databin over non-overlapping windows of width 10.}}

Rescale every value in each time series:

In[1]:=
Out[1]= {{This scales all of the data to fit between 0.0 and 1.0, and plots it.}}

Rescale Normalize Standardize Threshold Clip

Apply a function to values in a particular time series:

In[2]:=
Out[2]= {{This returns a TimeSeries of distance values, converted to km.}}

Get pure lists of values, without timestamps:

In[1]:=
Out[1]= {{This returns a list of just the values, without timestamps.}}
In[2]:=
Out[2]= {{This plots the list of successive differences between values of the previous output.}

Differences LowpassFilter MaxFilter Fourier PowerSpectralDensity

QUICK REFERENCE: Linear and Nonlinear Filters »

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