Getting started with Plots.jl

Introduction to Data Visualization with Julia

Gustavo Vieira Suñe

Data Analyst

Plots.jl

Installing and importing Plots.jl

Installation

using Pkg


Pkg.add("Plots")

Import

using Plots

Our first Julia plot

using CSV, DataFrames
using Plots


# Load dataset
fund = DataFrame(CSV.File("fund.csv"))


# Plot prices over time
plot(
    # Values in x-axis
    fund.price_date,
    # Values in y-axis
    fund.open,
)

A line plot depicting the price fluctuations of a fund over time, with a noticeable upward trend except for a dip in March 2020.

From lines to points

using CSV, DataFrames
using Plots

# Load dataset
fund = DataFrame(CSV.File("fund.csv"))


# Plot open and close prices
scatter(
    # Values in x-axis
    fund.open,
    # Values in x-axis
    fund.close,
)

A simple scatter plot showing the relationship between daily opening and closing prices. The graph displays a positive correlation between the two variables.

Adding title and axis labels

# Plot open and close prices
scatter(
    fund.open,
    fund.close,

    # Add title
    title="Intraday Price Movement",

    # Add axis labels
    xlabel="Opening Price (USD)",
    ylabel="Closing Price (USD)",
)

A simple scatter plot showing the relationship between daily opening and closing prices. The graph displays a positive correlation between the two variables.

Cheat Sheet

Line plots
- Trends over time
```
plot(x, y)
```
Scatter plots
- Relationships
```
scatter(x, y)
```

Axis labels and titles

Easier to interpret plot

title="My title", xlabel="My x-label", ylabel="My y-label"

Let's practice!

Introduction to Data Visualization with Julia