How can I read a CSV file into a persistent DataFrame that can be used later in my script?

[kburchfiel]

I am trying to read a CSV file into a DataFrame that I can use later in my code for a Leaflet map. Based on the Danfo.js documentation, here's what my code currently looks like:

dfd.readCSV("my_online_csv_file.csv")
.then(df => {
    df.describe().print()

}).catch(err => {
    console.log(err);
})

This code does indeed output some descriptive stats within my console. However, if I then try to access this DataFrame outside this block via df.head().print();, I get the following error:

Uncaught ReferenceError: df is not defined

I also tried the following setup:

df_data = dfd.readCSV("my_online_csv_file.csv");
df.head().print()

However, this produced the following error:

Uncaught TypeError: df.head is not a function

Is there an easy way for me to both read in a CSV file and access in later in the function? As a newcomer to both JavaScript and Danfo, I feel like I'm missing something very obvious.

[kburchfiel]

I now realize that one workaround is to use Pandas to export my data to a .json file (with orient = records specified in to_json()); copy and paste this .json data into my code editor; specify it as a variable; and then run df = new dfd.DataFrame(state_json_data) as specified in the quickstart. This setup allows me to get the expected result when I call df.head(5).print().