Import Data and Analyze with Python

This tutorial covers importing data using NumPy, performing basic analysis, exporting data, and generating plots with Matplotlib. It guides through setting up a Python script, handling CSV files, manipulating data vectors, and visualizing data with plots.

What is the first step in setting up a Python script for data processing?

• Creating a new text document and renaming it with a .py extension

• Running the script without any data

• Installing Python on your computer

• Writing the entire code in one go

Which Python package is used for data manipulation and analysis?

• NumPy

• Pandas

• Matplotlib

• SciPy

How are missing values in the data identified in the tutorial?

• By looking for 'NaN' values

• By using a special function

• By checking for zeros

• By visual inspection

What is the purpose of adjusting the time values in the data?

• To make them negative

• To start from zero

• To convert them to minutes

• To remove them entirely

Which function is used to calculate the average of sensor values?

• np.mean()

• np.median()

• np.average()

• np.sum()

What is the delimiter used when exporting the data?

• Semicolon

• Tab

• Space

• Comma

What is the purpose of reshaping vectors before exporting data?

• To ensure compatibility for export

• To change their data type

• To increase data size

• To make them more readable

Which library is used for plotting data in the tutorial?

• Bokeh

• Matplotlib

• Plotly

• Seaborn

What is the file format used to save the plot?

• JPEG

• SVG

• PNG

• BMP

What is a common error encountered when generating plots?

• Out of index error

• Incorrect data types

• Syntax error

• Memory overflow