You can better understand your data by visualizing it in an interactive graph.Viewing data in different formats can provide insight into trends or outliers in the data. For certain data types, you can also use an analysis panel to configure and apply an analysis function, capture the data that the function produces, and create a node that replicates the analysis function you configure to use in your code.
To use analysis panels, your data item must be an analog waveform of double-precision floating-point numbers or a 1D-array of double-precision floating-point numbers. If your data item does not meet the data type requirement, use a conversion node and capture the converted data to complete this step.
|Amplitude Measurements||Performs peak amplitude measurement.|
|Curve Fit||Finds the line that best represents an input signal or input data set using a specific fitting method.|
|FFT Spectrum||Computes the averaged FFT spectrum of a signal.|
|Filter||Applies a lowpass, highpass, bandpass, or bandstop filter to a signal.|
|Histogram||Finds the discrete histogram of a signal.|
|Limit Testing||Performs limit testing by comparing the signal to upper and lower limits that you define.|
|Pulse and Transition Measurements||Returns various measurements of a specific pulse in a periodic waveform or an array of periodic waveforms, such as the period, pulse duration, and duty cycle.|
|Resample||Resamples a signal according to a specific delay and sampling interval.|
|Scaling and Mapping||Scales a signal based on a straight line.|
|Signal Correlation||Computes the auto correlation of a signal or cross correlation of two signals.|
|Statistics||Performs statistical calculations on a signal.|
|Tone Measurements||Finds tones with specific amplitude and frequency parameters.|