.43
## 5 1      2015  1020524    17.2 
## 6 1      2016  1044592    17.7 
## 7 2      2015   685534    12.4 
## 8 2      2016   744827    12.3</code></pre>
<p>After filtering out “day” cases, the grouping by <code>season</code> and <code>year</code> allows us to summarize counts and average temperatures for each of the eight groups. Note that the resulting tibble is still grouped by <code>season</code> (as shown in the output with the <code>[4]</code> explicitly stating the number of current subsets).</