Help Your Mac Stand Between The Darkness And The Light with GreyWatch

Greynoise helps security teams focus on potential threats by reducing the noise from logs, alerts, and SIEMs. They constantly watch for badly behaving internet hosts, keep track of the benign ones, and use this research to classify IP addresses. Teams can use these classifications to only focus on things that (potentially) matter. They also have… Continue reading →

Retrieve Process Run-time Architecture on Apple Silicon Macs On The Command Line with `archinfo`

Apple M1/Apple Silicon/arm64 macOS can run x86_64 programs via Rosetta and most M1 systems currently (~March 2021) very likely run a mix of x86_64 and arm64 processes. Activity Monitor can show the architecture: but command line tools such as ps and top do not due to Apple hiding the details of the proper sysctl() incantations… Continue reading →

Getting Into the Rhythm of Chart Typography with {ragg} and {hrbragg} (a.k.a. It’s {ragg}-time}

Horrible puns aside, hopefully everyone saw the news, earlier this week, from @thomasp85 on the evolution of modern typographic capabilities in the R ecosystem. Thomas (and some cohorts) has been working on {systemfonts}, {ragg}, and {textshaping} for quite a while now, and the — shall we say tidyglyphs ecosystem — is super-ready for prime time…. Continue reading →

Extracting Heart Rate Data (Two Ways!) from Apple Health XML Export Files Using R (a.k.a. The Least Romantic Valentine’s Day R Post Ever)

💙 Expand for EKG code library(hrbrthemes) library(elementalist) # remotes::install_github(“teunbrand/elementalist”) library(ggplot2) read_csv( file = “~/Data/apple_health_export/electrocardiograms/ecg_2020-09-24.csv”, # this is extracted below skip = 12, col_names = “µV” ) %>% mutate( idx = 1:n() ) -> ekg ggplot() + geom_line_theme( data = ekg %>% tail(3000) %>% head(2500), aes(idx, µV), size = 0.125, color = “#cb181d” ) + labs(x… Continue reading →