Creating a Julia dashboard

In this section, we use a Julia Notebook to load a dataset, produce graphics, analyze the data, and put the entirety into a Jupyter Notebook.

How to do it...

Julia uses many of the packages available in R and/or Python, so the conversion is pretty similar.

Load in the packages used (again, very similar):

#Pkg.add("DataFrames")
#Pkg.add("PyPlot")
#Pkg.add("GLM")
using DataFrames;
using GLM;
using PyPlot;

Read in our DataFrame and look at the start of the table:

juice = readtable("grapeJuice.csv")
size(juice)
names(juice)
head(juice)

Produce a linear regression:

lm = fit(LinearModel, @formula(sales ~ price + ad_type + price_apple + price_cookies), juice)

I found a Julia function to emulate the R pairs() functionality, which provides an x and y graph between all elements of a regression line from https://gist.github.com/ahwillia/43c2cfb894f2bfec6760:

function pairs(data)
    (nobs, nvars) = size(data)
    (fig, ax) = subplots(nvars, nvars, figsize=(8,8))
    subplots_adjust...