Tag Archives for " Learn R "

Learn to do Data Viz in R

One of the reasons that R is a top language for data science is that it’s great for data visualization. R users can take advantage of the wildly popular ggplot2 package to turn massive data sets into easily-readable charts in just a few lines of code. That can be incredibly valuable for presenting your data, […]

Python vs R: Head to Head Data Analysis

Which is better for data analysis? There have been dozens of articles written comparing Python and R from a subjective standpoint. This article aims to look at the languages more objectively. We’ll analyze a data set side by side in Python and R, and show what code is needed in both languages to achieve the […]

How to Start Learning R for Data Science

In the world of data science, R is an increasingly popular programming language for a reason. It was built with statistical manipulation in mind, and there’s an incredible ecosystem of packages for R that let you do amazing things – particularly in data visualization – that would be much more difficult in Python. But R […]

3 Mighty Good Reasons to Learn R for Data Science

Ahoy, mateys! Happy International Talk Like A Pirate Day! You may think a pirate’s life sounds like fun, but it isn’t all buried treasure and singing yo-ho-ho. Pirates have lots to do: Predicting profitability of plundering events based on crew size and ship features Optimizing trade routes to avoid the law, storms, and other pirates […]

Using Linear Regression for Predictive Modeling in R

Predictive models are extremely useful for forecasting future outcomes and estimating metrics that are impractical to measure. For example, data scientists could use predictive models to forecast crop yields based on rainfall and temperature, or to determine whether patients with certain traits are more likely to react badly to a new medication. Before we talk […]

Five Reasons for Historians to Learn R

In which I do some cheerleading for the R Project for Statistical Computing. 1. You’re almost certain to find it worth the effort Often, in the endless “should academics learn to code” debate, it’s not clear to newcomers what you can actually use this code for once you’ve invested a lot of time in learning […]

Learning From Bank Data: Women Across the World

This post looks at the World Bank World Development Indicators (WDI). This massive collection has data in several categories: demographic, education, work, poverty, health. It includes both country-level data and various aggregates by different criteria: geographical regions, income levels, etc. The UK Data Service has a useful guide as well as access to the data. […]

R Fundamentals: Building a Simple Grade Calculator

R is one of the most popular languages for statistical analysis, data science, and reporting. At Dataquest, we have been adding R courses (you can learn more in our recent update). For a comparison of R and Python, check out our analysis here. In this tutorial, we’ll teach you the basics of R by building […]

How to become a data scientist

Data science is one of the most buzzed about fields right now, and data scientists are in extreme demand. And with good reason — data scientists are doing everything from creating self-driving cars to automatically captioning images. Given all the interesting applications, it makes sense that data science is a very sought-after career. Data science […]

28 Jupyter Notebook tips, tricks, and shortcuts

This post is based on a post that originally appeared on Alex Rogozhnikov’s blog, ‘Brilliantly Wrong’. We have expanded the post and will continue to do so over time — if you have a suggestion please let us know. Thanks to Alex for graciously letting us republish his work here. Jupyter Notebook Jupyter notebook, formerly […]

Show Buttons
Share On Facebook
Share On Twitter
Share On Linkedin
Share On Reddit
Hide Buttons