It feels great to be back with the Big Viz Energy. I hope Mr. Milchick will organize an Egg Bar Social, and a handshake will be available upon request after completing the Severance file. Macrodata Refinement has reached quota by the end of the quarter, and that gantt chart did bend after all!
I like to move it, move it! Turns out, if you stare at the monitor for long enough, try out n+1 options to finally make some elements move: you’ll succeed. Here come my weekly exercises in p5.js you can follow along.
I’m shocked and extremely happy at the same time that I managed to pull this off! I wrote 500 lines of code in 2 days and redid my most recent viz in p5.js. It is a post about my first weeks (of many more to come) into using this library.
This post is my first ever tutorial, and I think I’m more proud of this solution than I should be. But hey, here’s to a thousand more Saturn charts!
Thanks to David Lynch for keeping me wild at heart, I managed to come up with a new visualization after months. I’m super happy I was able to figure out the math behind this one all by myself. This post covers the design part, the next will focus on building the chart.
Not another movie-themed viz, right? Sorry, but yes, it is. I was trying out some new design perspectives with my favorite actress Amy Adams, that evolved into an infographic. Click for a handy Illustrator trick!
It’s fair to say that I won’t make a fortune selling prints. However, I promise I’ll buy myself a damn fine cup of coffee and a new book after each order. And if I don’t sell anything ever, I still learned a lot during this process.
There’s a first for everything, so I’m live-blogging my new project from the data collection to the finished viz. I’ll make a diary of my progress and document all the pitfalls, doubts, lousy sketches, ideas that never made it… so tune in for all the damn fine coffees drank on Twin Peaks. I haven’t been this excited for months!
The tooltips might not be what they seem, but they deserve to be beautiful too! Transcend with David Lynch and me into formatting tooltips to set them on fire. I’m not saying it’s not 568% extra work to make them more visually appealing, but I think it worth the effort.
This is a story that was heavily inspired by David Lynch, so hear it from him. “…If they give you the right to make the film, they owe you the right to make it the way you think it should be. The filmmaker should decide on every single element, every single word, every single sound, every single thing going down that highway through time. Otherwise it won’t hold together. The film may suck, but at least you made it suck on your own.”
The people close to me know that I have a soft spot for movies. And fonts. And a bunch of other things, but let’s narrow the scope down to the first two.
In 2020 I watched 645 hours of movies and series. Yes, that equals 27 days and it’s almost as long as February. 73% of this time I spent watching series – 660 episodes of 62 different ones. My main platform was Netflix (270 hours), closely followed by HBO GO (250 hours), while I only went to the movies 3 times this year due to the lockdown.
An unpopular opinion, but I was raised never to feel ashamed of the things I love. So here it is: I love Woody Allen. For me, he’s one of the most talented, intelligent, and funniest people of our century.
I watched the season finale of Westworld yesterday evening and was quite nervous the whole day, as this came out as one of the lowest-rated episodes of the series (correction from this morning: it is the lowest-rated episode of all time).
I might be as obsessed with this show as Joe Exotic and Carole Baskin with tigers, so I downloaded some search statistics of the main keywords from Google Trends and made a visualization of it.
I can’t believe Modern Family has come to an end after 11 years. I was growing up with this show, and even though the episodes started to get weaker at the end, I still enjoyed every minute of it. Even though I’m a mixture of Claire and Alex, my favorite characters were Phil and Luke… maybe Lily, as she turned out to be quite a savage teenager.
COUCHELLA 2020 is here! I’m not proud of myself for watching 45 hours of content in 3 weeks, but desperate times call for desperate measures. I even saw a film called “What Men Want” and I still don’t have a clue.
When the Game of Thrones series came to an end (which I haven’t seen one episode of, as I didn’t find the first book that interesting… sorry, not sorry) I had the idea to create a dataviz from the most popular series that has already ended. On this viz I compared the IMDB scores of the first and last episodes of the Top 15 series according to their number of ratings.
How shocking does it sound, that 4 studios made up more than 70% of the total gross income of Hollywood with only 12% of the films? I know I’m a real snob, but I hope that someday people will come to their senses and start watching good movies.
I tend to feel that I give way too many f*cks about things that other people give zero f*cks about. This time I made a dataviz in Tableau of the films that use the F word almost as frequently as articles.
Having been born in 1987 I think I belong to the golden generation of trash Christmas movies. I remember Arnold Schwarzenegger desperately fighting for Turbo Man at the department store, Chevy Chase lightning up the town with Xmas decorations or Tim Allen turning into Santa Claus with great nostalgia. But my favorite of all is Home Alone 2. Growing up in the 90s meant, that you had 5 videotapes on top and watched them night and day. I still know the whole film by heart and after more than 25 years, and can’t get bored of it.
Last week I wrote about putting together a list of the things that define me. I was in a really bad mood yesterday, so to absorb my negative energies I started to make a visualization out of it. I don’t think this could get any more personal, so I can only say: Hey, there! This is […]
Last week I saw a comic styled map on mapbox, and just like every fellow superhero fan would do, I called J.A.R.V.I.S. to prepare the data I can use this cool thingy on… Just kidding, it took me 2 days to build the dataset from IMDB and I single-handedly copied and pasted more than 400 filming […]