Investigating the contents of a data frame

Understanding how to check the contents of DataFrame after creating it is an essential aspect of working with data. In this recipe, we explain what features of the DataFrames.jl package make this task easy.

Getting ready

Make sure that you have the DataFrames.jl package installed. If it is missing, install it by running the commands using Pkg; Pkg.add("DataFrames") in the Julia command line.

Note

In the GitHub repository for this recipe, you will find the commands.txt file, which contains the presented sequence of shell and Julia commands.

Now, open your favorite terminal to execute the commands.

How to do it...

Here is a list of steps to be followed:

1. Create a random DataFrame so that its contents can be inspected later:

julia> using DataFrames, Random
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julia> Random.seed!(1);
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julia> df = DataFrame(rand(1000, 100));

2. Confirm the DataFrame that was created is too large to be displayed, as it contains 1000 rows and 100 columns by using the nrow,...