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Visualizing big data is next to impossible. As soon as I have 12 plots, that’s where my ability to use native ggplot suffers. That is until I found `trelliscopejs`.

`trelliscopejs` is like `ggplot2` faceting on steroids. This may seem crazy, but the benefit is that when you have 20, 30, or even 100+ plots you need to analyze, `trelliscopejs` is the solution!

And, I’m going to get you up and running with `trelliscopejs` in under 5-minutes:

1. I’ll teach you how to make 20+ ggplot facets using trelliscopejs
2. BONUS: I’ll not only show you how to make static ggplots, but I’ll even show you how to use the plotly integration for interactivity

# R-Tips Weekly

This article is part of R-Tips Weekly, a weekly video tutorial that shows you step-by-step how to do common R coding tasks.

Here are the links to get set up. 👇

# Video Tutorial

Learn how to use the `trelliscopejs` package in my 5-minute YouTube video tutorial.

# What you make in this R-Tip

By the end of this tutorial, you’ll make the 20+ ggplots for exposing insights in your big data.

Analyzing 20+ ggplots (made with `trelliscopejs`)

# Thank You Developers.

Before we move on, please recognize that `trelliscopejs` was developed by Ryan Hafen (follow Ryan on Twitter). Thank you for everything you do!

Also, the full documentation for trelliscopejs can be accessed here.

# `trelliscopejs` Tutorial

Let’s dive into using `trelliscopejs` so we can analyze 100+ ggplots.

## Step 1: Load the Libraries and Data

First, run this code to:

1. Load Libraries: Load `tidyverse` , `plotly`, and `trelliscopejs`.
2. Import Data: We’re using the `mpg` dataset that comes with `ggplot2`.

Our data looks like this. We want to understand how Highway Fuel Economy (`hwy`) varies with `displ` (engine size) but we want to see if there is any differences between `manufacturers`.

The mpg dataset

## Step 2: Make a ggplot

Next, let’s make a basic ggplot of fuel economy vs engine displacement.

This produces the following plot of `hwy` vs `displ`.

Our basic ggplot

## Step 3: Apply the trelliscopejs magic!

Listen, I’m telling you this next part is straight-up magic!

Seriously, I now use this simple trick to analyze 100+ ggplots at once.

• Use the `facet_trelliscope()` function
• This replaces a `facet_wrap()` or `facetgrid()`
• And makes 100’s of ggplots (as many as your heart desires)
• In this case, we facet by `manufacturer` and end up with 15 plots to analyze.

The result is the trelliscope plot with 15 ggplots by manufacturer.

We’ve transformed our ggplot into a faceted trelliscope with 15 plots by manufacturer

## Step 4: Customize the Trelliscopejs

This is really cool!! You can add additional labels like max/min displacement by plot.

Customize the trelliscope with labels & filters

# BONUS: Make your trelliscope interactive!!!

If you thought you were done…

We’re just gettin’ started!

THIS is the magic of trelliscope!!

• Add interactivity with the Plotly integration inside of `facet_trelliscope()`.
• Simply add `as_plotly = TRUE`

Check out the interactivity from plotly!!

Interactivity with the plotly-trelliscopejs integration

# Recap

We learned how to use the `trelliscopejs` library to not only create 100’s of static ggplots but create 100’s of interactive plotly plots. Great work! But, there’s a lot more to becoming a data scientist.

If you’d like to become a data scientist (and have an awesome career, improve your quality of life, enjoy your job, and all the fun that comes along), then I can help with that.

## Step 1: Watch my Free 40-Minute Webinar

Learning data science on your own is hard. I know because IT TOOK ME 5-YEARS to feel confident.

AND, I don’t want it to take that long for you.

So, I put together a FREE 40-minute webinar (a masterclass) that provides a roadmap for what worked for me.

Literally 5-years of learning, consolidated into 40-minutes. It’s jammed packed with value. I wish I saw this when I was starting… It would have made a huge difference.

## Step 2: Take action

For my action-takers, if you are ready to take your skills to the next level and DON’T want to wait 5-years to learn data science for business, AND you want a career you love that earns you \$100,000+ salary (plus bonuses), and you’d like someone to help you do this in UNDER 6-MONTHS or less….

Then I can help with that too. There’s a link in the FREE 40-minute webinar for a special price (because you are special!) and taking that action will kickstart your journey with me in your corner.

Get ready. The ride is wild. And the destination is AMAZING!

## 👇 Top R-Tips Tutorials you might like:

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