I’m creating a dot plot using ggplot2 in R to visualize the distribution of Sepal.Length in the iris dataset. However, the y-axis shows values from 0 to 1 as if it’s a density plot, when I need it to show actual frequency counts. Additionally, I noticed that the upper part of the plot gets trimmed when resizing, as shown in the image below. How can I fix these issues?

I’m struggling to reproduce this graph that I built in Tableau.

In my plot, I can’t get my scale_fill_manual to appropriately assign the “lightblue” to the non-active data points, but I have no issues with assigning “lightcoral” to the active point data. Also, I can’t get the labels for the point labels to update properly.

My plot is not coloring the columns in my stacked barplot. I am able to color the points that show the overall mean values for the different years, but I also want to color the bars according to the colors. And I just want the diamond points’ and bar colors to show up in the legend so that I have two points for “Temperature” and two filled squares for “Precipitation” as my legend.

This question might be duplicare. Sorry for that. However, none of the providing solutions work in my case.

I want to reverse the order of the legend.

I am making several plots by season, and I have no issues making figures with my code below for consecutive months (3 months at a time), until I get to winter. Because I want to plot values for Dec, Jan, Feb my figure gets messed up since the x-axis scale wants to remain from Jan-Dec. It is making a long line between the data points in Feb all the way to Dec.

The plot were created as below:

The original plot was created as below:

When I use scale_fill_gradient2, my image is stretched vertically.
When I use scale_fill_gradient, I didn’t see such a stretch.
What causes the difference?