Albert Rapp @rappa753 Twitter profile

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Albert Rapp

1 year

Even though I've kept this tweet streak going for quite some time, I'm focusing on a new platform now . I will stop tweeting as soon as my scheduled tweets are over. If you want to see more of my content, you can join me via the link in the thread below 👇

Albert Rapp

@rappa753

1 year

372 days of daily tweeting got me: ~ 9,300 new followers ~ 10,000,000 impressions Guess I have to do the same thing on the "business people" platform again 🤷 Come find me there as I'm going to use it for more in-depth content✌️

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Albert Rapp

@rappa753

1 year

This book will give you superpowers: R for Data Science 2 Years ago, I started my #rstats journey with this book. And since then, I've used what this book taught me every single day. Absolutely best place to get started with R. And it's free. 🥳

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Albert Rapp

@rappa753

2 years

Data cleaning is tedious. But it's much easier with the {janitor} package. Especially if you work with Excel files. Here are 5 underrated features from {janitor}. #rstats

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Albert Rapp

@rappa753

2 years

Ever heard of logistic regression? Or Poisson regression? Both are generalized linear models (GLMs). They're versatile statistical models. And by now, they've probably been reframed as super hot #MachineLearning . You can brush up on their math with this 🧵. #rstats #Statistics

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Albert Rapp

@rappa753

2 years

You can step up your data visualization game with {ggiraph} & {patchwork}. Two premier tools for creating interactive, connected plots with click events and tool-tips. (And they're super easy to use too.) Code: #rstats #dataviz

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Albert Rapp

@rappa753

1 year

Need a quick data summary? gt_plt_summary() from {gtExtras} is your friend 🥳 #rstats

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Albert Rapp

@rappa753

1 year

Data cleaning is tedious. But it's much easier with the {janitor} package. Especially if you work with Excel files. Here are 5 underrated features from {janitor}. #rstats

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Albert Rapp

@rappa753

1 year

Correlation matrices are super hard to read. Instead, I like to use lollipop charts. Left: Correlation Right: Lollipops

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Albert Rapp

@rappa753

1 year

Three steps to use color in your title instead of wasting space on a huge legend.

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Albert Rapp

@rappa753

2 years

Here's a simple {ggplot2} + {dplyr} combo for using colors: 1️⃣ Create a new column with color names using case_when() 2️⃣ Use new column in aes() and add a scale_color_identity() layer. Great trick to draw your reader's attention to specific parts of your plot. #rstats

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Albert Rapp

@rappa753

1 year

This book will give you superpowers: R for Data Science 2 Years ago, I started my #rstats journey with this book. And since then, I've used what this book taught me every single day. Absolutely best place to get started with R. And it's free. 🥳

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Albert Rapp

@rappa753

2 years

In my first #rstats class, students loved the dinosaur from the dataSaurus package. One student even asked for more dinosaurs in class, and I couldn't resist! 🤪 I searched for dinosaur images, extracted coordinates and started plotting. So, here are more ggplot dinosaurs 🦕🦖

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Albert Rapp

@rappa753

2 years

The #rstats ecosystem makes splitting a stacked bar plot simple. 🥳 This way, comparing groups is sooo much easier! 👌🏽 ✂️ Split stacked bars with facet_wrap() 🪢 Combine splits with totals via {patchwork} Code: Details in thread 🧵 #dataviz

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Albert Rapp

@rappa753

2 years

BEFORE - Standard bar chart - No clue what the message is AFTER - Bar chart with nuanced color use - Informs your reader about key insights & actions The latter is actually pretty easy to pull off. At the end of this step-by-step guide, you can do that too. #rstats #dataviz

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Albert Rapp

@rappa753

1 year

Also a very neat summary table. Thanks to @JoelGires for pointing me to the {summarytools} package and it's `dfSummary()` function.

Albert Rapp

@rappa753

1 year

Need a quick data summary? gt_plt_summary() from {gtExtras} is your friend 🥳 #rstats

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Albert Rapp

@rappa753

2 years

Want to relabel your data with #rstats ? Here are 3 ways to do that: 1️⃣ case_when(), 2️⃣ case_match(), 3️⃣ if_else() + str_remove_all() + regex. Spoiler alert: one involves much less typing than the others. Code:

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Albert Rapp

@rappa753

1 year

R makes it dead-simple to use some of the most effective dataviz principles. Here are six principles that are so easy that any ggplot beginner’s course should teach them.

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Albert Rapp

@rappa753

3 years

The fun thing about getting better at #ggplot2 is that you begin to mimick other #dataviz . Here is a practice #rstats info graphic I created after seeing a similar infographic from @EatSmarter_de Original graphic, making of, comments and some ressources below ⬇️🧵

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Albert Rapp

@rappa753

2 years

Next time you're creating a bar plot, try using a lollipop chart. They're a lightweight version of bars. With #rstats , lollipops are easy to create by replacing: geom_col() ⬇️ geom_point() + geom_segment() Full code:

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Albert Rapp

@rappa753

2 years

A really cool #rstats package is {geomtextpath}. It does exactly what it says. Write texts along a path. That's how I've created the text in this plot. Code Package and many more beautiful examples at

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Albert Rapp

@rappa753

1 year

Sometimes people ask me if I can do one-on-one R tutoring. Sure I can. But then my hourly rate applies. And there are many amazing *free* resources. Want to try them first? Here are a few that I recommend. #rstats

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Albert Rapp

@rappa753

2 years

Instead of using a big legend in your plot, try coloring the words in your title. 3 steps to do that with #rstats : 1️⃣ Use Markdown in your title with {ggtext} and theme() 2️⃣ Create a text variable that wraps words into <span color="..."></span> 3️⃣ Use that variable in labs()

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Albert Rapp

@rappa753

1 year

There's an #rstats package for everything. With {ggbump}, it's dead-simple to create regular bump charts. (Great for rankings over time) 🔀 With some work, you can even transform them to ribbon bump charts. 👷 (Full code below)

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Albert Rapp

@rappa753

2 years

Confession: I used to suck at #rstats . 🙈 But teaching a hands-on university course forced me to up my game. I read a ton of resources on stats/ML with R and compiled them into one book. And now you can use it too! Check out to level up your R skills.

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Albert Rapp

@rappa753

2 years

A lot of people create reports with tables in Word and PowerPoint. {flextable} let's you do all the number crunching in #rstats and then export it to Word and PowerPoint. Work in R. Communicate in MS Office. That way, everyone can use your work.

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Albert Rapp

@rappa753

2 years

Two things every {ggplot2} course should teach: 1️⃣ Use proper labels and create a title with labs() 2️⃣ Increase the text size with theme_grey(base_size = ...) Just two lines of code. But a considerable amount of respect for your future audience (which has to read your graph).

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Albert Rapp

@rappa753

2 years

Creating calendar plots with #rstats is surprisingly easy. 📅 Handling dates: {lubridate} and {stringi} (for week of month) 🎨 Plotting: geom_tile() and facet_wrap() Code: #dataviz

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Albert Rapp

@rappa753

2 years

💎💎🧵🧵 5 hidden gems from well-known #rstats packages to spice up your #dataviz game. (with many code examples from the R twitter community)

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Albert Rapp

@rappa753

2 years

Forget regular heat maps. Use bubbles on a grid instead 🔵 🟢 🤯 A short #dataviz thread 🧵 🧵 #rstats #ggplot2 1/8

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Albert Rapp

@rappa753

2 years

I used to spend hours trying to figure out how to export my ggplots. Text sizes were always messed up when I used ggsave(). 😩 Once I learned about the {camcorder} package that problem was gone. Here's a demo of how I use it. #rstats

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Albert Rapp

@rappa753

1 year

Here's a simple {ggplot2} + {dplyr} combo for using colors: 1️⃣ Create a new column with color names using case_when() 2️⃣ Use new column in aes() and add a scale_color_identity() layer. Great trick to draw your reader's attention to specific parts of your plot. #rstats

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Albert Rapp

@rappa753

2 years

{patchwork} is one of my favorite #rstats packages. It's dead-simple to arrange multiple plots. "Add" plots to put them side-by-side "Divide" to stack them. Find out more in the docs () or my blog ()

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Albert Rapp

@rappa753

2 years

{ggcharts} looks very promising. I love the simplicity with which it can create lollipop charts and dumbbell charts. #rstats

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Albert Rapp

@rappa753

2 years

Duplicate code sucks! Avoid copy-and-pasting your code and wrap it into a function instead. It's dead-simple with powerful tools like curly-curly and dot-dot-dot (works even for ggplot or dplyr code.) Learn how to do this in 150 seconds with my new video (link below) #rstats

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Albert Rapp

@rappa753

2 years

If there's one supremely useful function I can't live without anymore, it's clean_names() from {janitor}. Ain't nobody got time for using pesky `` just to pick a badly named column. What's your function that you use every time? #rstats

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Albert Rapp

@rappa753

1 year

{patchwork} is one of my favorite #rstats packages. It's dead-simple to arrange multiple plots. "Add" plots to put them side-by-side "Divide" to stack them. Find out more in the docs () or my blog ()

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Albert Rapp

@rappa753

2 years

The #rstats ecosystem makes splitting a stacked bar plot simple. 🥳 This way, comparing groups is sooo much easier! ✂️ Split stacked bars with facet_wrap() 🪢 Combine splits with totals via {patchwork} Code: Details in thread #dataviz

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Albert Rapp

@rappa753

1 year

Want to relabel your data with #rstats ? Here are 3 ways to do that: 1️⃣ case_when(), 2️⃣ case_match(), 3️⃣ if_else() + str_remove_all() + regex. Spoiler alert: one involves much less typing than the others.

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Albert Rapp

@rappa753

1 year

Want to know more about machine learning? Here's a book recommendation for you: Machine Learning with R by Brett Lantz It's a great book for learning the most important concepts and seeing how it can be done with #rstats . Here are a few more details:

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Albert Rapp

@rappa753

2 years

There's an #rstats package for everything. With {ggbump}, it's dead-simple to create regular bump charts. (Great for rankings over time) 🔀 With some work, you can even transform them to ribbon bump charts. 👷 Code:

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Albert Rapp

@rappa753

1 year

You can step up your data visualization game with {ggiraph} & {patchwork}. Two premier tools for creating interactive, connected plots with click events and tool-tips. (And they're super easy to use too.) #rstats #dataviz

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Albert Rapp

@rappa753

1 year

This is one of the best dataviz books out there. To the point and full of dataviz wisdom: Storytelling with Data by Cole Nussbaumer Knaflic. I use the book's principles all the time and the book is short enough to finish it in a weekend.

Storytelling with Data: A Data Visualization Guide for Business Professionals

www.amazon.com

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Albert Rapp

@rappa753

3 years

Ever wanted to use colors in #ggplot2 more efficiently? Based on #dataviz principles described in a recent blog post from @lisacmuth , I'll show you how. Find my blog post at Stick around for a quick summary thread 🧵⬇️ #rstats

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Albert Rapp

@rappa753

2 years

Interactive plots let users focus on what matters to them. That's why they are a popular choice for data visualization. You can make any ggplot interactive in just a few easy steps. #rstats

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Albert Rapp

@rappa753

1 year

{modelsummary} looks like a pretty slick package for reporting. Definitely keeping that one at the back of my mind 🤔 #rstats

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Albert Rapp

@rappa753

1 year

Ever heard of logistic regression? Or Poisson regression? Both are generalized linear models (GLMs). They're versatile statistical models. And by now, they've probably been reframed as super hot #MachineLearning . Brush up on their math with this thread. #rstats

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Albert Rapp

@rappa753

2 years

A really cool #rstats package is {ggchicklet}. Its geom_rrect() function let's you create rounded rectangles. That's how I've created this visualization. Code: Package:

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Albert Rapp

@rappa753

3 years

From standard output to powerful storytelling. Here's how you can recreate the storytelling with data look in #ggplot2 . A detailed thread 🧵⬇️ #rstats #dataviz

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Albert Rapp

@rappa753

2 years

Over the past year, I've shared hundreds of dataviz tricks. This thread compiles the best tricks and will help you to A) build clear visualizations B) choose better chart types C) use colors much more efficiently D) create a dynamic experience with interactive elements #rstats

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Albert Rapp

@rappa753

1 year

Confession: I used to suck at #rstats . 🙈 But teaching a hands-on university course forced me to up my game. I read a ton of resources on stats/ML with R and compiled them into one book. And now you can use it too! Check out to level up your R skills.

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Albert Rapp

@rappa753

2 years

The best way to learn data analysis is to actually practice it. Each week, the #tidyTuesday challenge gives you plenty of opportunity for this. Don't know how to get started with the challenge? Here's an #rstats guide using this week's data.

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Albert Rapp

@rappa753

2 years

I'm thinking about moving from RStudio to VSCode. #rstats folks: What are good resources to make the transition as smooth as possible? Any obstacles I should be aware of?

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Albert Rapp

@rappa753

2 years

Paired bar charts suck at comparing values. The only reason they're used all the time is because they are easy to create. But there are better alternatives that are just as easy. Here's how to create 4 better alternatives with #rstats .

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Albert Rapp

@rappa753

2 years

Many people don't actually need a complex dashboard. An interactive document with a few toggles and sliders is easier to build and can give the same dynamic experience. With Quarto and Shiny you can do that in just a few steps. Here's how. #rstats

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Albert Rapp

@rappa753

2 years

Repeating tasks with for-loops can get very ugly really fast. That's why I prefer to use functions instead of loops. The map() family from {purrr} gives you the perfect tools for that. You can learn to use them in 150 seconds in my newest video. (Link below) #rstats

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Albert Rapp

@rappa753

2 years

The newest version of {gt} lets you create interactive web tables 🥳 And it's super easy to manage. Everything is funneled through one function opt_interactive() 👌 #rstats

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Albert Rapp

@rappa753

1 year

Paired bar charts suck at comparing values. The only reason they're used all the time is because they are easy to create. But there are better alternatives that are just as easy. Here's how to create 4 better alternatives with #rstats .

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Albert Rapp

@rappa753

2 years

Interactive reports with Quarto & Shiny are a game changer. Write all the important information into the text and let the reader check what you say using interactive elements. Great for teaching materials as well as for business reports. #rstats

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Albert Rapp

@rappa753

2 years

I built a table with this week's #tidyTuesday data and {gt}. Love the package. 🥳 Not to brag but I'm glad that I wrote an ebook about {gt}. I already forgot half of it and had to look it up 🤣 Code: Resource:

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Albert Rapp

@rappa753

1 year

Excel files are messy. So let me show you how to clean them with #rstats . It's just a matter of knowing the right functions. Once you know them, cleaning Excel files becomes much easier. In my newest YouTube video, I demonstrate how these powerful functions work (link below)

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Albert Rapp

@rappa753

2 years

I used to think tables are boring. But they can be beautiful & engaging. Here's a nice example from @infobeautiful . It uses many eye-catching elements. But you don't need catchy visuals to create a great table. Here are a couple of guidelines that will help you 🧵

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Albert Rapp

@rappa753

2 years

As always, there's a #rstats package for every occasion. 🔀 With {ggbump}, bump charts (for rankings) are easily created. 👷🏽 With a little bit of work, one can transform them to ribbon bump charts. Here's a demo for this week's #tidyTuesday . Code:

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Albert Rapp

@rappa753

1 year

The #rstats ecosystem makes splitting a stacked bar plot simple. 🥳 This way, comparing groups is sooo much easier! 👌🏽 ✂️ Split stacked bars with facet_wrap() 🪢 Combine splits with totals via {patchwork} #dataviz

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Albert Rapp

@rappa753

2 years

Bump charts are great for visualizing rankings over time. Ribbon bump charts take that a step further. They also display a related quantity using the width of the ribbons. 🤯 Plus, they're beautiful and eye-catching. 😍 #rstats Code:

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Albert Rapp

@rappa753

2 years

Frighteningly powerful #rstats combo: mutate() + across() + {tidyselect} helpers 💥 🤯 The syntax may be a bit confusing at first, though. So, here are a couple of simple examples. CODE:

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Albert Rapp

@rappa753

3 years

Last week, I held a short workshop teaching #RStats to Economics students without prior programming experience. Here are 6 lessons I learnt that I wish I had known in advance.

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Albert Rapp

@rappa753

1 year

A lot of people create reports with tables in Word and PowerPoint. {flextable} let's you do all the number crunching in #rstats and then export it to Word and PowerPoint. Work in R. Communicate in MS Office. That way, everyone can use your work.

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Albert Rapp

@rappa753

1 year

If there's one supremely useful function I can't live without anymore, it's clean_names() from {janitor}. Ain't nobody got time for using those pesky `` just to pick a badly named column. What's your function that you use every time? #rstats

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Albert Rapp

@rappa753

1 year

Duplicate code sucks! Avoid copy-and-pasting your code and wrap it into a function instead. It's dead-simple with powerful tools like curly-curly and dot-dot-dot (works even for ggplot or dplyr code.) One of my most popular video teaches you how in 150 seconds (link below)

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Albert Rapp

@rappa753

1 year

ggplot creates superb visualizations 💥 Here's a remake of an amazing viz from the PEW Research Center 🥳 Left: Remake Right: Original The maps were challenging but the {usmap} package helped A LOT! 🙏 Video tutorial coming soon ✌️ If you want, you can get notified below.

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Albert Rapp

@rappa753

1 year

In my first #rstats class, students loved the dinosaur from the dataSaurus package. One student even asked for more dinosaurs in class, and I couldn't resist! 🤪 I searched for dinosaur images, extracted coordinates and started plotting. So, here are more ggplot dinosaurs 🦕🦖

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Albert Rapp

@rappa753

1 year

Frighteningly powerful #rstats combo: mutate() + across() + {tidyselect} helpers 💥 🤯 But the syntax may be a bit confusing at first. So, here are a couple of simple examples. (With editable code plus meme below)

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Albert Rapp

@rappa753

2 years

'Tis the season to be sharing R treats: The curly-curly operator is a great way to use a data set's column names in your own functions. #rstats

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Albert Rapp

@rappa753

3 years

I tried to explain the variance of the sample variance to my students. Not sure if I did well, so I build a small #Shiny app to let students explore that on their own. Find it at I am still amazed how an #rstats package allows me to create web apps.

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Albert Rapp

@rappa753

1 year

Two things every {ggplot2} course should teach: 1️⃣ Use proper labels and create a title with labs() 2️⃣ Increase the text size with theme_grey(base_size = ...) Just two lines of code. But a considerable amount of respect for your future audience (which has to read your graph).

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Albert Rapp

@rappa753

2 years

Data visualization doesn't have to be complicated. 🤯 In fact, ggplot makes it dead-simple to implement some of the most effective dataviz principles. Here are six dataviz principles that are so easy that any beginner’s course should teach them. #rstats

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Albert Rapp

@rappa753

2 years

Cleaning Excel files in R is tedious! With the {janitor} package it gets much easier. It helps you to - remove empty cells - create clean column names - format Excel's weird date formats I show you how the package works in this demo video: #rstats

Use {janitor} to clean Excel files with R

This video demonstrates the power of the {janitor} package. I show you how to clean messy Excel files and use other powerful functions from {janitor}.Origina...

www.youtube.com

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Albert Rapp

@rappa753

2 years

Sometimes people ask me if I can do one-on-one R tutoring. Sure I can. But then my hourly rate applies. And there are many amazing *free* resources. Want to try them first? Here are a few that I recommend. #rstats

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Albert Rapp

@rappa753

2 years

I've been meaning to incorporate a bit of AI into my #rstats workflow. {gpttools} may just be the thing to help me get started. Left: Regular script Right: Automatically converted script to functions Check out this cool package from @JamesHWade at

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Albert Rapp

@rappa753

2 years

By itself, a standard #ggplot2 output can rarely convince anyone. You need a story to communicate your message. And for effective storytelling, your plot has to be customized. My newest blog post shows you how. Find it at #rstats #dataviz 🧵🧵⬇️

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Albert Rapp

@rappa753

2 years

Exporting ggplots without worrying about size issues? That's easy with the {camcorder} package! Call gg_record() when you start visualizing and ALL plots are exported. Nothing changes when you're finished. Check out this vid for a full breakdown: #rstats

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Albert Rapp

@rappa753

1 year

Using colors in your plot titles is a great way to ✅ remove the legend and ✅ give more room to your data. In ggplot, all it takes for this is learning one small trick. Tomorrow, my 3-minute newsletter will show you this trick. If you're curious, feel free to join us below.

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Albert Rapp

@rappa753

2 years

Analytics dashboards are a popular way to explore data or to communicate insights. So it's good to know how to build one. Here's how you do that with R in no time. 🧵 #rstats #shiny

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Albert Rapp

@rappa753

1 year

This is another great explainer how to connect R and GitHub actions to automate all the things. Great work from @rfortherest .

How to Use GitHub Actions with R to Run Code Automatically

In this video, I show how you can use GitHub Actions to run your R code automatically. To see the code and learn how to run code on a schedule and how to ren...

www.youtube.com

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Albert Rapp

@rappa753

1 year

Need to extract days, months, years or more from time data? Don't compute them all manually with {lubridate}. That's way too tedious. The {timetk} package has a nice function that does all the heavy lifting for you. LEFT: {lubridate} workflow RIGHT: {timetk} workflow #rstats

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Albert Rapp

@rappa753

2 years

I am rebuilding my #rstats blog from the bottom up with #quarto . This will let me use quarto's cool new tricks like tabs and easy columns. I've already spent hours using quarto's great docs to build a custom blog. If you want to do the same, let me show you what I did.

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Albert Rapp

@rappa753

2 years

Paired bar charts suck at comparing values. Still, they're used all the time because they are easy to make. But there are better alternatives that are just as easy. Here's how to create 4 alternatives with #rstats . 🧵

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Albert Rapp

@rappa753

2 years

This blog post () is truly a bridge between #python and #rstats . All tables are created in Python and R. A superb ressource for creating tables in both languages. Great work from @karbartolome .

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Albert Rapp

@rappa753

2 years

Dumbbell plots are great. But if your data compares times or dates, why not use arrows instead? This way, you can use colors differently. Left: dumbbells (color shows time) Right: arrows (color shows direction of change) #rstats Code:

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Albert Rapp

@rappa753

2 years

Calculating multiple lags for time series is annoying. Here's an insanely powerful combo from @paul_elotro to make your life easier. It channels the full #rstats power with 1️⃣ partial() + map() from {purrr} 2️⃣ curly-curly {{ }} from {rlang} 3️⃣ mutate() + across() from {dplyr}

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Albert Rapp

@rappa753

2 years

Many people insisted that {ggiraph} is a great package. So I gave it a try using this week's #tidyTuesday data. And it is indeed amazing. Makes it super easy to turn a ggplot interactive (like adding a tooltip). #rstats Code:

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Albert Rapp

@rappa753

2 years

Tables can be suuuper boring. But they don't have to be. A well-crafted table can be an exciting tool for communicating data insights. Using practical tips and examples, my free {gt} book shows you how. Learn to create beautiful tables with #rstats at

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Albert Rapp

@rappa753

2 years

Your dataviz can easily drill down into what's important with conditional formatting. #rstats has a powerful combo to do that: 1️⃣ case_when() or if_else() 2️⃣ scale_*_identity() Here's a demo how you can change color, shapes or whatever based on any condition you like #dataviz

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Albert Rapp

@rappa753

1 year

I used to struggle with emphasizing single words in a plot title. Then, I learned with about the {ggtext} package. Now it's pretty easy to just wrap words in **..** and make them bold that way.

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Albert Rapp

@rappa753

2 years

Need to turn your ggplot interactive? Like for a dashboard? Just pass your plot to ggplotly() from {plotly}. Doesn't always return perfect matches but good for a quick conversion. You can always tweak your plot later on. #rstats

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Albert Rapp

@rappa753

2 years

Today, I finished two new #rstats video tutorials 🥳☺️ Hope these will serve you well 📚🤓 1⃣ Extracting spatial data from OpenStreetMap 2⃣ How to build an interactive point-and-click game with {Shiny}

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Albert Rapp

@rappa753

1 year

The newest version of {gt} lets you create interactive web tables 🥳 And it's super easy to manage. Everything is funneled through one function opt_interactive() 👌 #rstats

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Albert Rapp

@rappa753

2 years

dot-dot-dot is my favorite advanced #rstats concept. It's the R world's "Let someone else deal with that". Basically, everything that is not explicitely defined in your function will be passed along to the next "...".

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Albert Rapp

@rappa753

1 year

Creating calendar plots with #rstats is surprisingly easy. 📅 Handling dates: {lubridate} and {stringi} (for week of month) 🎨 Plotting: geom_tile() and facet_wrap() #dataviz

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Albert Rapp

@rappa753

1 year

Want to combine Quarto and Shiny? This follow-up blog post shows you how to combine these awesome technologies. Find it at #rstats

Albert Rapp

@rappa753

1 year

Setting up the UI in Shiny apps can take forever. If you only need a few interactive elements, just use a Quarto document. This way, you can add interactive elements quickly to your text without the hassle of layout and design. #rstats

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Albert Rapp

@rappa753

1 year

I've once struggled with using different fonts in ggplot. For some reason I found it super hard to set up fonts in Windows. But then I found the {showtext} package. Makes it dead-simple to use fonts in 2 steps: 1️⃣ Load fonts from google 2️⃣ Enable showtext rendering Done 🥳

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