cremepat OP t1_j5twl5v wrote

Reply to comment by xFrostyDog in Books I read in 2022 [OC] by cremepat

I tend to read the same book for several days in a row before going to the next. I mostly switch because something super tense is happening in the first one and I need a reprieve. I'm definitely not reading multiple books in the same day!


cremepat OP t1_j5or7uh wrote

My thought process: I wanted to color by genre, but I needed to group them into categories to reduce the number of colors. Prob not obvious, but the warm colors are fiction and cool colors are nonfiction. I pulled out the subgenres I read the most of and lumped the rest into broad buckets.


cremepat OP t1_j5lpu2d wrote

Reply to comment by dahlia-llama in Books I read in 2022 [OC] by cremepat

I read every night before bed! It's such an ingrained habit now I can't fall asleep without doing it.

I also don't watch much tv (ironically because I find it hard to sit still and focus), so that time goes to reading too


cremepat OP t1_j5law6s wrote

I get you, I was cautious about this viz for that exact reason. I do love looking at data art, but some of it really doesn't resonate with me because I can't understand what point is being made (and as a data journo that's my whole job lol)

I've done this exact analysis three years running and was getting bored of the same old traditional-ish visuals I'd been doing. I wanted to do something completely different to re-engage myself in the creative process.

I fiddled with a lot of "field of flowers" ideas using geom_bezier in ggplot to make curved "stems" showing the length of the books I read, and layered geom_points to make flowers colored to represent the genres. Everything I worked on in that vein felt like I was ripping off Valentina D'efilippo.

I randomly adding in a coord_polar to my plot and really liked the output. From there, I refined in ggplot (eg removing the flower heads) and gussied it up in Illustrator


cremepat OP t1_j5l3980 wrote

Reply to comment by tauwyt in Books I read in 2022 [OC] by cremepat

I analyzed my wpm data a couple years ago and I tend to read 350-500wpm depending on subject/complexity. At an average of 300 words per Kindle page, 81 pages per hour equates to 402 wpm. (edit: google seems to suggest 400wpm is normal for lifelong/heavy readers)


cremepat OP t1_j5l0ocu wrote

Reply to comment by mmmmm_pi in Books I read in 2022 [OC] by cremepat

Interesting question! I looked, and 9 were rereads, 5 of which were of Tana French books.
It's hard to define how many books I have going at once, but let's say it's the number of books on any given day that that a) I've started, b) I have yet to finish, and c) I do eventually finish.
By that definition, I have had anywhere between 1-6 "in progress", with a median of 2. But of course I do put down books for long periods of time, so I don't think those really count (tho I didn't exclude them)


cremepat OP t1_j5l070i wrote

Reply to comment by jonny24eh in Books I read in 2022 [OC] by cremepat

It's a term that can be kind of pejorative for books that aren't literary fiction (literary fiction: think stuff that you read in English class/gets major awards/reviewed in big publications). In my case, that category is mostly made up of mysteries and historical fiction,


cremepat OP t1_j5k4x7v wrote

Reply to comment by dimkal in Books I read in 2022 [OC] by cremepat

thanks! I just played around with the data for a week or two, trying to come up with a more data art concept than straight data viz. This ended up being the best concept I popped out


cremepat OP t1_j5jg7jd wrote

I analyzed data pulled from my Kindle to make the visual. Analysis and chart done in R. I used illustrator to add gradients to the “plumes” and lay out the final viz.

I read 94 books last year, roughly split between fiction and nonfiction. More details about my 2022 reading here. At the bottom of this post I documented how I grab data from my Kindle.