Intro. Run this to see what the ChickWeight dataset looks like:

$```\{$r$\}$

ChickWeight $\%>\%$ head$()$

ChickWeight $\%>\%$ tail$()$

$```$

### a$\backslash *.$ Create a table of the median chick weight for each diet $($name it median$\_$weight$\_$by$\_$diet$).$ Call the column containing this median weight $*$median$\_$weight$*.$ Save this table as Q$24.$

$```\{$r$\}$

median$\_$weight$\_$by$\_$diet $<-$ ChickWeight $\%>\%$

# $...$ complete this

median$\_$weight$\_$by$\_$diet

$```$

We don't know if this tells the whole story.

The chicks grew, but it's possible that those in one diet were measured less often than those in another.

Let's look at some general exploratory analysis. Write code that answers these questions:

### b$*.$ How many rows are there for each diet? Save the result as rows$\_$per$\_$diet.

$```\{$r$\}$

rows$\_$per$\_$diet

$```$

### c$*.$ How many rows are there for each chick? Save the result as rows$\_$per$\_$chick.

Note! this will also allow you to figure out how many chicks there are in this data. There will be one row per chick.

$```\{$r$\}$

rows$\_$per$\_$chick

$```$

### d$*.$ How many chicks were on each diet? Create a table that answers this question and save it to variable chicks$\_$per$\_$diet. Make this table only from the functions we we learned about: group$\_$by$,$ mutate, select, filter, arrange, summarize, tally$().($You will not need all of these functions.$)$