Skip to main content

Manhattan DA Denies 'Cover-Up' For Billionaire Sex Offender Jeffrey Epstein

Manhattan DA Denies 'Cover-Up' For Billionaire Sex Offender Jeffrey Epstein A little over a decade ago, Brooklyn-born billionaire Jeffrey Epstein got caught running what the Miami Herald describes as a "sexual pyramid scheme" on the backs of underage girls, allegedly committing multiple acts of pedophilia and engaging in child sex trafficking. The evidence against him appeared damning, but until now it's been kept largely out of the public eye, thanks to the efforts and missteps of prosecutors at the federal and state level—including President Donald Trump's current Labor Secretary and a prosecutor in Manhattan District Attorney Cy Vance's office. [ more › ] Gothamist https://ift.tt/2Aw7xPo November 29, 2018 at 11:21PM
Labels:

Comments

Post a Comment

Popular posts from this blog

Controlling legend appearance in ggplot2 with override.aes

[This article was first published on Very statisticious on Very statisticious , and kindly contributed to R-bloggers ]. (You can report issue about the content on this page here ) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. In ggplot2 , aesthetics and their scale_*() functions change both the plot appearance and the plot legend appearance simultaneously. The override.aes argument in guide_legend() allows the user to change only the legend appearance without affecting the rest of the plot. This is useful for making the legend more readable or for creating certain types of combined legends. In this post I’ll first introduce override.aes with a basic example and then go through three additional plotting scenarios to how other instances where override.aes comes in handy. Table of Contents R packages Introducing override.aes Adding a guides() layer Using the guide argument in scale_*() Changing multiple aesthetic par...
Post a Comment
Read more

Zooming in on maps with sf and ggplot2

(This article was first published on r-bloggers – WZB Data Science Blog , and kindly contributed to R-bloggers) When working with geo-spatial data in R, I usually use the sf package for manipulating spatial data as Simple Features objects and ggplot2 with geom_sf for visualizing these data. One thing that comes up regularly is “zooming in” on a certain region of interest, i.e. displaying a certain map detail. There are several ways to do so. Three common options are: selecting only certain areas of interest from the spatial dataset (e.g. only certain countries / continent(s) / etc.) cropping the geometries in the spatial dataset using sf_crop() restricting the display window via coord_sf() I will show the advantages and disadvantages of these options and especially focus on how to zoom in on a certain point of interest at a specific “zoom level”. We will see how to calculate the coordinates of the display window or “bounding box” around this zoom point. Loading t...
Post a Comment
Read more