Tag Archives for " Tutorials "
wool-poisson-regression-rstats-compressor

Tutorial: Poisson Regression in R

Poisson Regression can be a really useful tool if you know how and when to use it. In this tutorial we’re going to take a long look at Poisson Regression, what it is, and how R programmers can use it in the real world. Specifically, we’re going to cover:What Poisson Regression actually is and when we […]

Historic Wildfire Data: Exploratory Visualization in R

In recent weeks, news of the devastating wildfires sweeping parts of the US state of California have featured prominently in the news. While most wildfires are started accidentally by humans, weather conditions like wind and drought can exacerbate fires’ spread and intensity. Improved understanding of historical wildfire trends and causes can inform fire management and […]

11 Design Tips for Data Visualization

Here’s an important fact that’s easy to forget: our data is only as helpful as it is understandable. Most of the time, that means creating some kind of data visualization. And while a simple bar graph might cut it for internal work, making your data both visually understandable and visually attractive can help it get […]

Python Generators

Python generators are a powerful, but misunderstood tool. They’re often treated as too difficult a concept for beginning programmers to learn — creating the illusion that beginners should hold off on learning generators until they are ready. I think this assessment is unfair, and that you can use generators sooner than you think. In this […]

Using Linear Regression for Predictive Modeling in R

Predictive models are extremely useful, when learning r language, 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 […]

jupyter-notebooks-tutorial

Jupyter Notebook for Beginners: A Tutorial

The Jupyter Notebook is an incredibly powerful tool for interactively developing and presenting data science projects. A notebook integrates code and its output into a single document that combines visualisations, narrative text, mathematical equations, and other rich media. The intuitive workflow promotes iterative and rapid development, making notebooks an increasingly popular choice at the heart […]

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 Install and Configure Docker Swarm on Ubuntu

Docker Swarm is a clustering tool that turns a group of Docker hosts into a single virtual server. Docker Swarm ensures availability and high performance for your application by distributing it over the number of Docker hosts inside a cluster. Docker Swarm also allows you to increase the number of container instance for the same […]

1 2 3 4