Ouafaa!!! This is INCREDIBLE!!! Seriously, it looks so professional! I love the logo, the font-awesome icons. You might also consider putting a link to the GitHub repo on the navbar.
At a glance
I love your use of the value boxes. They really help make those percentages pop.
I love how you separated your plot of top 10 borrowing countries by gender. There is almost always a much higher percentage of females borrowing than males... why is that?
Your loans distributed by sector plot is also great, but I'd recommend moving the annotations out to the end of the bars. I actually like to set these values inside the bars just a bit and then change the color of the annotations to something like white. Usually you can do this by adding something like geom_text(hjust = 0, nudge_x = -0.5, color = "white"), but you have to play around with the latter two arguments to make it look nice. This also assumes you have an x and a y defining the bars (and are therefore using geom_col) rather than having ggplot do it for you automatically.
At a glance, Version 0
Really nice use of storyboarding the progression is super clear
For your box plots (I realize you didn't go forward with them, but...) I'd recommend using fill = rather than color =.
How do we talk about the loans
Minor, but you have "for histogram fans" but these are actually bar charts, rather than histograms
I'm not sure the colors on the bar chart actually help... but this partly personal preference
Word clouds look great!
As an extension, you might consider coding the words for positive/negative sentiment and seeing what those distributions look like. Is the sentiment mostly positive or mostly negative?
Kiva, inequality, and poverty
Very clear progression again.
I really like the second two figures and think they are much cleaner and easier to interpret than the first two. Nicely done.
Kiva in the world
Really nice use of some cool html widgets! I particularly like the leaflet version.
Points
At least three different visualizations (30 points; 10 points each)
Design choices 10
Plot appropriate for given audience 10
Evolution of the plot is clear 10
Reproducibility (20 points)
Should be housed on GitHub 10
I’ll clone and try to reproduce 8
I removed two points on the reproduction part because your value boxes did not reproduce for me. I had to put spaces after the ###. This is a common issue where some platforms have no problem, but others to, so it's best to just always put a space after.
Deployment (10 points) 10
Should be shareable via a link
No errors in the specific chosen format
Clear, clean, easy to follow/understand
Thank you for your feedback, Daniel! Great suggestions. I did not know about the value box space problem. Good to know as it is important for reproducibility.
Ouafaa!!! This is INCREDIBLE!!! Seriously, it looks so professional! I love the logo, the font-awesome icons. You might also consider putting a link to the GitHub repo on the navbar.
At a glance
geom_text(hjust = 0, nudge_x = -0.5, color = "white")
, but you have to play around with the latter two arguments to make it look nice. This also assumes you have an x and a y defining the bars (and are therefore usinggeom_col
) rather than having ggplot do it for you automatically.At a glance, Version 0
fill =
rather thancolor =
.How do we talk about the loans
Kiva, inequality, and poverty
Kiva in the world
Points
At least three different visualizations (30 points; 10 points each) Design choices 10 Plot appropriate for given audience 10 Evolution of the plot is clear 10
Reproducibility (20 points) Should be housed on GitHub 10 I’ll clone and try to reproduce 8
###
. This is a common issue where some platforms have no problem, but others to, so it's best to just always put a space after.Deployment (10 points) 10 Should be shareable via a link No errors in the specific chosen format Clear, clean, easy to follow/understand