Analyze and Visualize FFT

# Introduction In this programming challenge, you will explore the capabilities of NumPy's Fast Fourier Transform (FFT) and Matplotlib libraries to analyze and visualize complex data. The main goal of this challenge is to use the FFT algorithm to analyze a dataset containing synthetic data and visualize the results using Matplotlib. You will work with a generated dataset, apply the FFT algorithm to extract relevant frequency information and visualize the data in different ways to gain insights into the patterns within the dataset.

|
60 : 00

Click the virtual machine below to start practicing