Sharon Machlis

Executive Editor, Data & Analytics

Sharon Machlis is Director of Editorial Data & Analytics at IDG, where she works on analyzing data (both for IDG Enterprise Web sites and journalism projects) and in-house editor tools in addition to writing and editing. Her tech interests include data visualization and analysis as well as the intersection of journalism and technology. She holds an Extra class amateur radio license and is currently somewhat obsessed with R. Her book Practical R for Mass Communication and Journalism was published in December 2018.

“Do More with R” video tutorials

How to count by group in R

How to count by group in R

Discover quick and easy ways to count by groups in R, including reports as data frames, graphics, and ggplot graphs

How to create drill-down graphs with highcharter in R

How to create drill-down graphs with highcharter in R

See how to make an interactive drill-down visualization with R and the highcharter package

5 handy options in R data.table’s fread

5 handy options in R data.table’s fread

Not just a speedy way to import data into R, fread has useful options for importing subsets of data, setting data types for columns, running system commands, and more

GIS aids in Covid-19 fight beyond tracking cases

GIS aids in Covid-19 fight beyond tracking cases

Geospatial analysis helps in understanding community vulnerabilities, population mobility, and local businesses, according to panelists at Esri's annual user conference

How to create tables in R with expandable rows

How to create tables in R with expandable rows

See how to use the reactable R package to make an interactive table with rows that expand when clicked

How to run R 4.0 in Docker — and 3 cool new R 4.0 features

How to run R 4.0 in Docker — and 3 cool new R 4.0 features

See how to test drive R 4.0 in a Docker container, plus a look at three new R 4.0 features for color palettes and strings

Dplyr across: First look at a new Tidyverse function

Dplyr across: First look at a new Tidyverse function

See how to use dplyr to run functions across multiple columns at once. You can even run more than one function in the same line of code

Easier ggplot with the ggeasy R package

Easier ggplot with the ggeasy R package

See easy-to-remember ways of customizing ggplot2 visualizations – plus the super-simple patchwork package to visualize plots side by side

R data.table symbols and operators you should know

R data.table symbols and operators you should know

Make your R data.table code more efficient and elegant with these special symbols and operators. Plus, learn about the new fcase() function

RStudio Conference 2020 videos you don’t want to miss

RStudio Conference 2020 videos you don’t want to miss

You can watch dozens of must-see RStudio Conference videos online. Don't know where to start? Let us help

Add color to your ggplot2 text in R

Add color to your ggplot2 text in R

See how to style the headlines and axis text in your ggplot graphs with the ggtext package for R

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