Preview

Total CRAN downloads for all packages:

cran %>% dplyr::summarize(download_total = sum(count))
## # A tibble: 1 × 1
##   download_total
##            <dbl>
## 1          23824

CRAN package downloads over time, summarized by month.

cran_stats <- cran %>%
  separate(date, into=c("year", "month name", "day"), sep = "-") %>%
  unite("Month", c("year", "month name"), sep='-', remove=TRUE) %>%  
  group_by(Month, package) %>%
  summarise(monthly_downloads = sum(count)) %>% #summarize monthly downloads by package
  filter(monthly_downloads > 0) #drop the 0's

ggplot(cran_stats, aes(Month, monthly_downloads, group=package, color = package)) +
  geom_line() +
  geom_point() +
  theme(panel.background = element_blank(), panel.grid = element_blank()) +
  theme(axis.text.x = element_text(angle = 90)) +
  labs(x = NULL,
       y = "Monthly Downloads",
       color = "R Packages")

Setting up CRAN

In the _config_automation.yml you will need to specify a few things.

###### CRAN ######
refresh-cran: yes
cran_packages: [ metricminer, ottrpal ]
cran_googlesheet:

Customizing CRAN Data

In order to customize the data you are downloading from CRAN you can modify the refresh-scripts/refresh-cran.R script in your repository.

You can take a look at the metricminer R package documentation for more details about the functions and what is possible.

If you have a metric need that is not currently fulfilled by metricminer or metricminer-dashboard we encourage you to file a GitHub issue with us and let us know about your new feature idea (or bug report).