How program to join 2 different tables based on which one has the highest number of rows, with tidyverse? Now, the total_number_views_ndinstict
has only 8 but in the future this may have more rows than the second total_number_views_unique_na
which currently has 10 rows. I need both columns in the joined table.
Here is the first table:
> total_number_views_ndinstict
# A tibble: 8 × 2
app_name n_distinct_users
<chr> <int>
1 animals_to_groups 2
2 cage_randomiser 5
3 combo_cor 1
4 crispr_screen_viz 21
5 dep_map_bem 4
6 growth_rate_explorer 3
7 moprospector 2
8 translatability_single_gene 17
And the second table is
> total_number_views_unique_na
# A tibble: 10 × 2
app_name users_na
<chr> <int>
1 animals_to_groups 21
2 cage_randomiser 14
3 combo_cor 14
4 crispr_screen_viz 1
5 dep_map_bem 0
6 dtp_browser_prod 6
7 flat 81
8 growth_rate_explorer 48
9 moprospector 0
10 translatability_single_gene 2
Can someone help?
A full join will keep theh values of both tables
library(dplyr)
full_join(total_number_views_ndinstict, total_number_views_unique_na)