Slides of my Talk at the R Users Meetup Geneva

This July I had the chance to speak at the R Users Meetup Geneva. I shared the learnings of my year-long exploration of the tidyverse through blogging. It was such a pleasure to meet and discuss with other R users as passionnate as I am!

I obviously had to make my slides using R. Afer some research, I discovered the revealjs package, which allows to create reveal.js presentations using R Markdown.

I made this presentation writing only two lines of code by slide. Check it out!

Show code
    ---
    title: "Learning R through blogging: a journey into the tidyverse"
    author: "Félix Luginbühl"
    date: "Juillet 5, 2018"
    output: 
      revealjs::revealjs_presentation:
        theme: serif
        transition: slide
    ---
    
    ## I was doing an internship at the Embassy of Switzerland in Guatemala {data-background-iframe="https://www.openstreetmap.org/export/embed.html?bbox=-113.15917968750001%2C1.0106897682409128%2C-67.89550781250001%2C27.410785702577023&layer=mapnik&marker=14.604847155053898%2C-90.52734375"}
    
    ## but missing the cultural life of Geneva {data-background-iframe="https://www.openstreetmap.org/export/embed.html?bbox=-16.479492187500004%2C35.85343961959182%2C28.7841796875%2C54.901882187385006&layer=mapnik&marker=46.195042108660154%2C6.15234375"}
    
    ## So I started a blog about R {data-background-iframe="http://felixluginbuhl.com"}
    
    ## to investigate important questions {data-background=#FFFFFF}
    
    ## Is Marvel more successful at the box office than DC Comics? {data-transition="default"}
    
    ![](http://felixluginbuhl.com/images/chart_marvel_3.png)
    
    ## But taking into account inflation {data-transition="default"}
    
    ![](http://felixluginbuhl.com/images/chart_marvel_2.png)
    
    ## Which chapter of 1984 is the darkest? {data-transition="default"}
    
    ![](http://felixluginbuhl.com/images/chart_orwell_4.png)
    
    ## Which countries has James Bond visited? {data-transition="default"}
    
    ![](http://felixluginbuhl.com/images/map_bond_1.png)
    
    ## Which tennis player is the most popular? {data-transition="default"}
    
    ![](http://felixluginbuhl.com/images/chart_big4_2.png)
    
    ## Then I created my first package {data-transition="default"}
    
    ![](http://felixluginbuhl.com/images/screenshot_learner.gif)
    
    ## Which now looks like this
    
    ![](http://felixluginbuhl.com/images/polyglot_dev.gif)
    
    ## And developped a seconde package
    
    ![](https://raw.githubusercontent.com/lgnbhl/lgnbhl.github.io/master/images/Screenshot_bfsdata.png)
    
    ## It was then time to go interactive {data-background=#FFFFFF}
    
    <iframe src="http://felixluginbuhl.com/images/js_marvelNetwork.html" width="100%" height="600"></iframe>
    
    ## and making interactive maps {data-background=#FFFFFF}
    
    <iframe src="http://felixluginbuhl.com/images/js_leaflet_map.html" width="100%" height="400"></iframe>
    
    ## Then I tested XGBoost {data-background=#FFFFFF}
    
    ![](http://felixluginbuhl.com/images/chart_childrensmovies_3.png)
    
    ## Modeled for exploratory analysis {data-background=#FFFFFF}
    
    <iframe src="http://felixluginbuhl.com/images/js_olympics.html" width="100%" height="600"></iframe>
    
    ## Made some forecasting on Swiss data {data-background=#FFFFFF}
    
    ![](http://felixluginbuhl.com/images/chart_swisscom_5.png)
    
    ## And finally competed on Kaggle {data-background=#FFFFFF}
    
    ![](http://felixluginbuhl.com/images/chart_cooking_9.png)
    
    ## In summary {data-transition="zoom"}
    
    ![](https://raw.githubusercontent.com/lgnbhl/lgnbhl.github.io/master/images/blog_wordcloud.png)
    
    ## Thank you for your attention! {data-transition="fade"}
    
    <section style="text-align: left;"><br>
    
    Info Contact:
    
    - Blog: http://felixluginbuhl.com/
    - Github: https://github.com/lgnbhl
    - Twitter: https://twitter.com/lgnbhl
    - Linkedin: https://www.linkedin.com/in/felixluginbuhl

For more information about revealjs, you can read the chapter 8 of R Markdown: The Ultimate Guide.

Thanks for reading. For updates of recent blog posts, follow me on Twitter.

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