First, how to recognize the type of RDD?
Is that like this: (in my model, the treatment var is Dibao and the running var is lnscore)
gen newdibao=(lnscore>0.5)
tab newdibao dibao
and the result is like this

| dibao
newdibao | 0 1 | Total
-----------+----------------------+----------
0 | 27,335 591 | 27,926
1 | 61,933 996 | 62,929
-----------+----------------------+----------
Total | 89,268 1,587 | 90,855

so, from this table, it is a fuzzy RDD. Is that right?

Second, it is about the graphs after running rdplot command, if the trends of lines are different between before and after the threshold, can I say that this dependent variable cannot be chosen in RDD?

Third, it is about the logic of RDD in the paper. I am confused about the logic while writing a paper using RDD as a model.
Is that "check if it is a sharp or fuzzy RDD -> draw the twoway or plot graph by using twoway or rdplot-> run the regression by using rd command -> do the robustness check (find the discontinuity arount the cutoff, find the optimal bandwidth, and find the sensitivity of the obs...)"

Please tell me, thanks.