-1 Great start! Point off because it doesn't make too much sense to use multiple colors for your color scale here. Multiple color scales only make sense when there are some meaningful breakpoints

Hello, You probably saw or not, but Let explain here what coloring means in my plot. The color is to show how smoking percentage changes with time. The coloring is the smoking habit distribution and it will update when you change the year. If you slide the year, it will show you how the habits changes in each state. So, how come this does not make sense for this mapping plot? Thank you Basazin

Hey Basazin, having color for the plot makes sense but what doesn't make sense is the choice of colors. It looks like your color scale has three main sequential parts: purple to blue blue to green green to yellow Since there are 3 color sequences going on here, each sequence should correspond meaningfully to the data. So it looks like purple to blue has a range of roughly 0 - 10. With your color scale, 0-10 should be significantly different from 11 - 20 (blue to green) and 20 -MAX (green to yellow). An example could maybe be representing the age of a child using colors. Maybe the first 5 years you use a purple to blue color scale. Then, you switch to a blue to green color scale. This could make sense if you were representing the start of primary/middle/high school using your color scales. So each change in color signifies that the child enters a new school. It doesn't make much sense to have so many colors since each color doesn't signify a big change (at least in my eyes 0 - 10 days smoke doesn't seem to be a big difference from 11 - 20 days, etc). It would make more sense just to use one sequential scale here like white purple to blue