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Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible.
R Ladies is a working group that promotes diversity in the #rstats community via meetups, mentorship, and global collaboration. There are over 90 groups worldwide. We have our own R Ladies group here at Vanderbilt. For updates and future meetups, follow them on Twitter and Meetup.
Download the R programming language here. You will need to download R before you download RStudio. Under "Download and Install R" make sure to click on your operating system (OS). If you're running on Windows, use Windows. If you're using Mac, use Mac. Click on base if you're downloading R for the first time. Continue to click through and accept the installation process.
Download RStudio here. RStudio is R's graphic user interface (GUI). Essentially, RStudio is a more user-friendly way to program in R. Like downloading R, make sure to choose your correct OS under "Installers." Click on your correct installer and RStudio.exe will download.
After you have both R and RStudio installed, open up RStudio:
Financial data for public & private companies worldwide; private capital firms; M&A transactions. Financial analysis tools to generate reports: comparables analysis, market analysis, financial modeling, etc.
Euromonitor International's global market analysis software platform, providing industry information, consumer statistics and analysis, historical and forecast data, consumer trends and lifestyles, articles, company profiles, and global reports.
Extensive selection of statistics for the United States, with selected data for regions, divisions, states, metropolitan areas, cities, and foreign countries from reports and records of government and private agencies.
International statistics related to domestic and international finance. International payments, rates of inflation & deflation, exchange rates, international liquidity, international banking, monetary policy, interest rates, etc. Includes Government Finance Statistics (GFS), Balance of Payments Statistics (BOPS), Direction of Trade Statistics (DOTS), Trade and Investment, and International Financial Statistics (IFS).
Collection of time-series data, and global development indicators. Cross-country comparable statistics about development and people’s lives around the globe and includes national, regional and global estimates.
This repository contains all the source materials for Learning Statistics with R. There are two versions of the content, the original version (LSR v0.6) written in LaTeX and the bookdown adaptation (LSR v0.6.1). The two versions are kept in distinct folders to ensure they share no dependencies.
The purpose of this repository is to serve as stockpile of statistical methods, modeling techniques, and data science tools. The content itself includes everything from educational vignettes on specific topics, to tailored functions and modeling pipelines built to enhance and optimize analyses, to notes and code from various data science conferences, to general data science utilities.
VU Libraries ResearchGuides is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. You may republish or adapt this guide for educational purposes, as long as proper credit is given. Our recommended credit includes the statement: Written by, or adapted from, Vanderbilt University Libraries (current as of .....). If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.