Each assay was measured with 3 parameters (T, D, and P) for 3 days. Some assay has missing all values or values of one/two parameter/s. The data is given in the table below:

name	T1	D1	P1	T2	D2	P2	T3	D3	P3
A	0.12	52	1	0.9	53	1	0.7	55	1
B	NA	NA	NA	0.9	52	2	0.5	54	2
C	0.3	60	3	0.8	51	2	0.63	60	NA
D	0.4	51	4	0.83	56	3	NA	NA	3

Question:

a) find out the number of missing data (i.e. count NA values) for each assay. Summarize how many assays have complete measurements, how many are missing one/or more values (Use is.na(), apply(), sum())

b) for each parameter (T,D, and P), make a boxplot for each timepoint to check if there are any outliers. ( First, reshape the data to combine observations for the same parameter across each timepoint into a one vector/or data frame first. Do that for all parameteres)

c) re-arrange the data to make time series plot for each parameter using facet_wrap() in ggplot