datalorax
commented
5 years ago Good feedback, Cianna. I think the point about non-codables is important. I think considering. I also like the feedback on the axis breaks.
In regard to the title being cut off, this is likely an aspect ratio issue you'll want to be careful about in your final deployment, Alejandra.
Well done!
Alegarisa
@Alegarisa @datalorax
Areas of Strength: • Great use of colors in graphs, they ended up being very visually appealing, you have a great eye for design. • Excellent job making it clear the difference between the control group and the intervention group, this seems like an important comparison to make and you highlighted it well. • You seem to have a very clear vision for the message you want to convey with each plot. • You are showing some really cool and powerful information with your graphs!
Something I learned from Reviewing Script: • I didn’t know you could assign a dot color for each participant. This is a really neat way to demonstrate data where each participant has multiple data points.
Areas for Improvement:
Plot 1 • I appreciated that each girl was represented by a different color but it might help to put a subtitle telling us how many different girls we are looking at. • Non-codables is a little difficult to interpret in this case. Is this a bucket to refer to something “other” than the categories listed? The data points have a very different span than other categories but it’s not clear why. • Is there any message that you are demonstrating by comparing control and intervention groups?
Plot 2 • You can definitely make your dots bigger here! It will help us see the relationship more clearly and I don’t think you’ll really lose any granularity • Your axis for number of placement changes includes .5 intervals. I am guessing this is just how the axis automatically set up as it seems like your data points are only whole numbers. I would manually change your axis to only include whole numbers for clarity. • Just looking at the overall graph it looks like there is somewhat of a negative relationship between age of first removal and number of placements, which makes sense. When you highlight just high number of placement changes the relationship becomes a little less clear and it looks more like any age of first removal can experience a high number of placement changes. Both are valid patterns to highlight and it just depends on what kind of message you want to convey!
Plot 3 • Your title gets cut off here and just needs to be made a little smaller or shorter. • Some color might help here, you could make the avoid bars the same color and the seek bars the same color so we could compare those categories also (if that’s relevant here). • Is there a specific message you are looking to convey here? Given the scale here all four groups look pretty similar. You could truncate part of your y axis is you want to show a more dramatic difference between group.