This is pretty cool.
* Screen time is pretty interesting because of the variance. I think I like the episodes where Lex talks more, but with this I can check my idea of when Lex talks more vs what the actual screen time ratio is. (In the Anca Dragan episode (and maybe others), the colours used are very similar, makes things less clear.)
* I was confused about "views" and "likes" until I saw it was from YouTube (which is also a limitation, most podcasts don't have YouTube channel or the YT channel audience is much lower). (Btw, it says "I used youtube-dl to download all of the videos publicly available on the JRE channel", should be Lex Fridman's channel for this site.)
* I'm confused about the second graph: how should I be using the left and right axes? Things don't seem to be vertically distributed by views, and I find it unlikely things fall in the "under 20% likes" vs "over 80% likes" bins so sharply, so I must be misreading it.
* The blue banner below Screen Time looked like a footer to me, so I assumed that's where the page ended. It took some half a page of scrolling beyond that, for the rest of the stuff to load.
* The "Search for a different episode" under Episode Similarity doesn't seem to be working. I click it, search for Sean Carroll (and it lists a dozen things, a lot of which seem to be his own podcast episodes), I can't click on any of the results. I can't even get out of that Search screen, reloading seems the only way out.
Visualizations look nice, though this site could use a bit of introduction and context. Iâve never heard of this podcast so I didnât know if âLex Fridmanâ was the author of the site or the host of the podcast. In fact, if it werenât for the HN article title, I wouldnât have immediately understood it was about a podcast at all - itâs not mentioned until half way down the page.
Just a brief sentence or two at the top to give context would help immensely.
I like it.
Perhaps put a little description of what this page is at the top (An analysis of Lex Fridmans podcast popularity.) For those of us who didn't know who he is.
The top graphs has your drawing continuous lines between discrete points. You should pobably show the points on the top graph. (the lines are trend lines) its clear the like ratio stays pretty constant no matter what. You could put the podcast guest on the x axis too. If you can gray the area in the bottom graph you are expanding in the above view that would be cool. Its moving forward in time automatically, but at some point it seems to run off the end (I"m not sure if I'm supposed to be able to manually set it)
In the topics/time the vertical scroll bar is a little strange but I'm not sure what could be better.
Despite these very minor points, I like the page.
Your viz techniques are stunning af. I'm afraid there might be too many moving parts on the canvas than enough to be not distracting to be honest.
Why was I not surprised to see that David Fravor (Navy Fighter Pilot, 'credible' UFO sighting) garnered the most views by a wide margin in the dataset? Sigh...
Some of the charts could do with an explanation of what they are showing. For example, what is a âlike ratioâ and what do the axis of that green line indicate?
two suggestions (and one nitpick):
1) add y-axis labels 2) indicate to the user that they can scroll for more content 3) charts with two y-axes!? really!?!
There is no contact info on the page. What's the best way to reach you?
Nice work Lex. Love your conversations.
Edit: I b dumb
This is from a Uni project for my Data Visualization class.
https://joerogan.faith/ http://lexfridman.faith/
There are really only tools available to search through shallow features from podcasts, like episode title or description. I wanted to solve the following objectives with my visualization techniques:
- Topics Over Time: How does the term frequency of a topic change over time? https://i.imgur.com/f0BX7mx.png
- Screen Time: How much speaking/screen time does each participant take up during a podcast? https://imgur.com/a/P76ewPh
- If I like episode X, what other episodes are similar in content?
Looking for feedback and suggestions, thanks!