TidyTuesday | TidyTuesday challenge , a weekly data visualization challenge

For this week's TidyTuesday challenge, I am trying to plot a stream graph of the top 5 male names and their frequencies. I am using the following code for this purpose

I have a dataset with a column which indicate the number of occurence of a group constituted by multiples variables. Here SEXand COLOR.

I'm getting an unexpected pattern of NAs from a left join. The data come from this week's Tidy Tuesday.

For this week's TidyTuesday challenge, I have been trying to make a table using reactable package. To this end, I looked at some blog posts on making tables with reactable in R and I made some progress, particularly with regard to customizing background colors and etc. However, although I tried for two-three days, I could not manage to add and customize titles in reactable package. The blogs I have looked at gave some examples. For instance, in one example, the following code chunk is given to make a beautiful table.

I borrowed the R code from the link and produced the following graph:

Using the same idea, I tried with my data as follows:

I would like to change the boolean values of my "success" column in my "members" dataframe. Specifically, I would like to change the True values to "success" and the False values to "fail". Would you know how to do this?

code :

I would like to create a cat_month column in my expeditions dataframe. This column would contain the mountain category (small, medium or large) and I would like to assign a category according to the height contained in the highpoint_metres column (with quartiles: small = height lower than the first quartile) but I can't manage to do it.

Data:

I would like to make a scatterplot with the dataframe :"df_death_mois1". But it doesn't work. The error message is : "x and y must be the same size". Can you help me ?

I have a dataframe "expeditions" where there are 3 columns ("basecamp_date", "highpoint_date" and "termination_date"). I would like to check that the basecamp date is before the highpoint date and before the termination date because I noticed that there are rows where this is not the case (see picture) Do you have any idea what I should do (a loop, a new dataframe...?)

Code