Analytics

Analytics | News, how-tos, features, reviews, and videos


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How to export to Excel with R

See how to save a data frame from R to Excel – with styling or multiple tabs.

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How to get API data with R

No R package for an API you’d like to use? No problem! See how to write your own R code to pull data from an API using API key authentication.

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How to make your own ggplot2 functions

See how easy it is to make your own functions using ggplot2, dplyr, and other tidyverse package functions – without worrying about quoted and unquoted column names! Thanks to the latest version of the rlang package, tidy evaluation is...

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How to use .SD in the data.table package

See how to use the special .SD symbol in the R data.table package.

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Get month-over-month comparisons in R

See various ways to calculate month-over-month, week-over-week, and year-over-year comparisons in R using dplyr and lubridate.

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How to send email with R and Gmail

See how to automate sending email with the R programming language and Gmail.

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The biggest news out of Google I/O | TECH(feed)

At last week’s Google I/O conference, Google announced a slew of upgrades to its existing products. On today’s episode of TECH(feed), Juliet runs through some highlights of Google I/O announcements, including updates to Android OS and...

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How to customize ggplot with bbplot

Overwhelmed by all the ways you can customize a ggplot2 data visualization? With add-on packages like the BBC’s bbplot, you can use themes created by design professionals – or tweak them to make them your own.

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How to use tidy eval in R

Do you want to use ggplot2, dplyr, or other tidyverse functions in your own functions? This easy example shows how

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How to write your own R package

When you hear “R package,” you may think something to share with other people. But an R package can also be a good way to organize your own work

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Run Python in R code

While R is a useful language, Python is also great for data science and general-purpose computing. See how to run Python code within an R script and pass data between Python and R

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Can Your Infrastructure Meet the Challenge of Moving from Analytics 1.0 to Analytics 2.0?

Nearly every business is moving to become analytics-driven as more and more of them seek to support their digital transformations. According to , 53% of companies were using analytics as of the fourth quarter of 2017, up from 17%...

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Analytics at the Speed of Business: Beyond Self-Integration

With operating divisions and management demanding more and broader analytics to truly understand the state of the business, IT teams must provide the infrastructure that can support these much larger workloads. But IT must do so...

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Expanding Analytic Workloads Demand New IT Infrastructure

Is there any doubt that the use of analytics is taking off? According to Dresner Advisory Services, 53% of companies are currently using big data analytics, up from just 17% three years ago. And in a recent book published by the...

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R tip: Write your own RStudio addins

This RStudio Addins tutorial shows step by step how to create an addin for the RStudio IDE

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R tip: Creating color-coded calendars

See how well you’re achieving daily goals with a color-coded calendar made in R

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R tip: Addins and keyboard shortcuts

Discover an easy way to use key-value pairs in R

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R tip: Quick lookup tables with named vectors

Learn an easy method to use key-value pairs in R

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