Other content in this Stream
14:21How to excel without using Excel
There are many limitations of using Excel for your reports. RStudio makes reports and applications easy (and reproducible) using R.
58:50The Grammar and Graphics of Data Science
Data science is the process of turning data into understanding and actionable insight. Two key data science tools are data manipulation and visualization.
RStudio IDE Cheat Sheet
No matter what you do with R, the RStudio IDE can help you do it faster. This cheat sheet will guide you through the most useful features of the IDE, as well as the long list of keyboard shortcuts.
52:22What's new with readxl? A Tidyverse solution for reading data stored in xls or xlsx format
What's new with readxl? A Tidyverse solution for reading data stored in xls or xlsx format
1:02:43Introducing blogdown, a new R package to make blogs and websites with R Markdown
The most typical use of R Markdown is to create a single output document from a source document, and there is no special organization of the output documents.
48:11Best practices for working with databases
Get the most out of joining R forces with database forces. We will review key concepts, share the latest in R packages, and demo useful techniques.
43:53R-Hub Overview
The R-hub builder is an R package build and continuous integration service. It aims to simplify the R package development process: creating a package, building binaries and continuous integration.
40:56Sparklyr: Using Spark with RMarkdown
RStudio recently announced a new open-source package called sparklyr that facilitates a connection between R and Spark using a full-fledged dplyr backend with support for the entirety of Spark’s MLlib
58:02Reproducible Reporting
It doesn’t matter how great your analysis is unless you can share it with others – easily. R Markdown and knitr make it easy to intermingle code and text to generate compelling reports and presentatio
1:01:07Interactive Reporting
In a static report, you answer known questions. With a dynamic report, you give the reader the tools to answer their own questions.
Shiny Cheat Sheet
This cheat sheet provides a tour of the Shiny package and explains how to build and customize an interactive app.
Data Transformation Cheat Sheet
This cheat sheet will guide you through the grammar, reminding you how to select, filter, arrange, mutate, summarise, group, and join data frames and tibbles.
1:02:44Getting started with R Markdown
Cut and paste for reporting doesn’t cut it anymore! In this webinar you’ll learn to write reports quickly and effectively with the R Markdown package.
R Markdown Cheat Sheet
R Markdown is an authoring format that makes it easy to write reusable reports with R.
49:47Working with Big Data in R
R is the go to language for data exploration and development, but what role can R play in production with big data?
50:51Introducing Notebooks
R Markdown Notebooks are a powerful new construct in RStudio combining the strengths of the R Markdown ecosystem with the interactivity and immediacy of a notebook.
45:59Introducing flexdashboards
Flexdashboard is an easy way to quickly create dashboards, ideal for publishing visualizations with flexible and easy to specify layouts.
Data Visualization Cheat Sheet
The ggplot2 package lets you make beautiful and customizable plots of your data.
44:42Getting Data into R