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Great R packages for data import, wrangling and visualization

Here are my go-to R packages -- in a handy searchable table.

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R tip: Sparklines in HTML tables

Learn how to add sparklines to HTML tables in R with the DT and sparkline packages

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R tip: Quick Interactive Tables

See how to create an interactive HTML table with one line of code. Plus, plenty of customizations

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R tip: Drag-and-drop ggplot

See how the new graphical user interface for ggplot2 works, thanks to the esquisse R package

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R tip: Reshape data with tidyr

See how the tidyr R package’s gather and spread functions work. Plus a bonus look at labeling in ggplot2

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R tip: Schedule R scripts on a Mac

Learn how to run R scripts from the Mac command line. Then, see how to schedule R scripts with cron jobs and the cronR package.

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R tip: R Markdown tutorial

In this 10th episode of Do More with R, learn how to create HTML, Word docs, PowerPoint presentations, and more that combine text, graphics, and R code

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R tip: Access nested list items with purrr

In this ninth episode of Do More with R, learn how to easily access and modify nested list items with the purrr package’s modify_depth function

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EU regulation will drive U.S. banks to embrace FinTech or lose market share

Europe's financial services industry has been forced to embrace open banking and customer data sharing. Now, with PSD2, U.S. banks will soon have to follow suit or face increased online competition.

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R tip: Animations in R

In this eighth episode of Do More with R, learn how to animate data over time with R and the gganimate and ggplot2 packages.

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By 2020, 1-in-5 healthcare orgs will adopt blockchain; here’s why

Blockchain lets the healthcare industry exchange data in a standard format, automate complex processes and apply AI against large silos of medical data. It might even allow patients to sell their data for rewards.

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R tip: Create maps in R

In this seventh episode of Do More with R, learn how to create maps in R—it’s easier than you think, thanks to new and updated packages like sf, tmap, and ggplot2

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R tip: Iterate with purrr's map_df function

In this sixth episode of Do More with R, learn how to apply a function to a vector of values and return a data frame

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9 ways to get more value from business intelligence in 2018

Improved customer relations, increased employee productivity, new revenue streams — big benefits await those who breathe new life into their business intelligence strategies.

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R tip: Save time with RStudio code snippets

In this fifth episode of Do More with R, Sharon Machlis, director of Editorial Data & Analytics at IDG Communications, shows how code snippets work in RStudio—and how you can make your own

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R tip: Easy dashboards with flexdashboard

In this fourth episode of Do More with R, Sharon Machlis, director of Editorial Data & Analytics at IDG Communications, shows how to create dashboards in the R language with the flexdashboard package.

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R tip: Test your code with testthat

In this episode of Do More with R, learn how to automate testing your R functions with Hadley Wickham’s testthat package.

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R tip: Learn dplyr’s case_when() function

In this second episode of Do More with R, Sharon Machlis, director of Editorial Data & Analytics at IDG Communications, shows how dplyr's case_when() function helps avoid a lot of nested ifelse statements

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