State Unemployment Claims
In today’s Reproducible Finance post, we will explore state-level unemployment claims which get released every Thursday. The last few weeks have shown huge spikes in those claims, of course, due...continue reading.
In today’s Reproducible Finance post, we will explore state-level unemployment claims which get released every Thursday. The last few weeks have shown huge spikes in those claims, of course, due...continue reading.
Earlier this week, we were joined by the smart folks at Roche & Novartis to present a webinar on effective data visualization. You can watch the recording of the full...continue reading.
This report describes an update to the R package ‘dvir’ to add support for the LuaTeX engine. The immediate advantage of this support is the …continue reading.
Today, we finally talk about the mutate function! I’ve used it a lot throughout the series so far, so it’s nice to get to discuss what it is and how...continue reading.
On April 16th (8:00pm GMT+2) we will be delightful to host Heidi Seibold from Department of Statistics joins LMU Open Science Center (University of Munich). Heidi will share her experiences...continue reading.
As data scientists, getting our hands on the data we need is often the most challenging part of a project. In practice, we tend to make life hard on ourselves...continue reading.
eRum2020 goes virtual and becomes the first – free! – fully virtual R conference for hundreds of participants. The post eRum2020 becomes a virtual conference (from Milan!) appeared first on...continue reading.
We’re delighted to announce the release of three new tidymodels packages. These are “parsnip-adjacent” packages that add new models to the tidymodels framework. baguette This package contains basic functions and...continue reading.
We discuss the estimation with R of the time-varying effective reproduction number during an infectious disease outbreak such as the COVID-19 outbreak. Using a single simulated outbreak we compare the...continue reading.
Microsoft has released a GitHub repository to share best practices for time series forecasting. From the repo: Time series forecasting is one of the most important topics in data science....continue reading.
On April 16th (8:00pm GMT+2) we will be delightful to host Heidi Seibold from University of Munich (Department of Statistics joins LMU Open Science Center) ). Heidi will share her...continue reading.
When visualizing data, outliers and skewed data can have a huge impact, potentially making your visualization difficult to understand. We can use many of the tricks covered so far to...continue reading.
So RStudio Connect has embraced Python and now runs Flask applications! At Jumping Rivers we make a lot of use of R, shiny, and Python for creating visual tools for...continue reading.
Lately I’ve been publishing screencasts demonstrating how to use the tidymodels framework, from first steps in modeling to how to tune more complex models. Today, I’m exploring a different part...continue reading.
Lately I’ve been publishing screencasts demonstrating how to use the tidymodels framework, from first steps in modeling to how to tune more complex models. Today, I’m exploring a different part...continue reading.
Nothing beats the bar plot for fast data exploration and comparison of variable values between different groups, or building a story around how groups of data are composed. The ability...continue reading.
Part 1 of this blog series discussed how to:apply for free academic license of H2O.ai automated machine learning (AutoML) platform Driverless AI,spin up a VM with budget-oriented cloud provider Paperspace...continue reading.
Previously in this series: The “lost boarding pass” puzzle The “deadly board game” puzzle The “knight on an infinite chessboard” puzzle The “largest stock profit or loss” puzzle The “birthday...continue reading.
A few times in this series, I’ve wanted to display part of a dataset, such as key variables, like Title, Rating, and Pages. The tidyverse allows you to easily keep...continue reading.
In our recent post about saving R graphics, it became obvious that achieving consistent graphics across platforms or even saving the “correct” graph on a particular OS was challenging. Getting...continue reading.