I’ve been wanting to visualize homelessness for quite a while, but didn’t find any data until today. This dataset contains several attributes of homelessness (chronic or temporary, sheltered or unsheltered, family or inidividual, etc) by US state.

Breaking down these percentage by location, we can observe:

- Nevada has lowest percentage of Homeless in families and highest % of unaccompanied youth
- Guam has lowest percentage of sheltered and highest percentage of homeless families
- South Dakota has the lowest percentage of chronically homelessness
What I learnt today is how to make waffle chart (alternative to pie chart) in R using waffle package and fontawesome.
library(waffle)
library(extrafont)
parts <- c(Sheltered=64, Unsheltered=36)
waffle(parts, rows=10, colors=c("#009bda", "#969696"),
use_glyph="home", glyph_size=6)
This is #day44 of my #100dayprojects on data science and visual storytelling. Full code on my github. Thanks for reading. Suggestions of new topics and feedbacks are always welcomed.