Imagine the following df:
quar metier kweffort trips
<int> <chr> <dbl> <int>
1 1 OTB_DEF_100-119_0_0 12866.9022 6
2 1 OTB_DEF_70-99_0_0 13546.3839 11
3 1 OTB_MCD_70-99_0_0 2052.9117 2
4 1 TBB_DEF_100-119_0_0 4496.7492 1
5 1 TBB_DEF_70-99_0_0 384167.3136 69
6 1 TBB_DEF_G120_0_0 7260.1340 1
7 2 OTB_DEF_100-119_0_0 78069.8550 19
8 2 OTB_DEF_70-99_0_0 14333.0972 12
9 2 OTB_DEF_G120_0_0 859.0463 1
10 2 OTB_MCD_70-99_0_0 22528.3388 19
How can I use spread to get a table that has quar in the columns and both kweffort and trips as a value?
It would hopefully look like this:
metier quar 1 quar 2 quar 3 quar 4
OTB_DEF_100-119_0_0 trip value kweffort value ... ... ...