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    Tidy Parallel Processing in R with furrr

    Written by Matt Dancho on September 14, 2021
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    furrr is a critical package to speed up iterative calculations using tidyverse purrr syntax.

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    Introducing Iterative (Nested) Forecasting with Modeltime

    Written by Matt Dancho on August 26, 2021
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    I'm super excited to introduce the experimental feature for performing iterative forecasting.

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    ggalt: Make a Lollipop Plot to Compare Categories in ggplot2

    Written by Matt Dancho on August 24, 2021
    ...

    ggalt is a ggplot2 extension that adds many new ggplot geometries. In this tutorial, we'll learn how to make lollipop plots for comparing categories within our data using geom_lollipop().

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    ggalt: Make a Dumbbell Plot to Visualize Change in ggplot2

    Written by Matt Dancho on August 12, 2021
    ...

    ggalt is a ggplot2 extension that adds many new ggplot geometries. In this tutorial, we'll learn how to make dumbbell plots for visualizing change within our data using geom_dumbbell().

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    SweetViz: Automated Exploratory Data Analysis (EDA) in Python

    Written by Matt Dancho on August 3, 2021
    ...

    SweetViz is a Python library that makes exploratory data analysis (EDA) fast and effective. Learn how to investigate feature relationships using correlation and associations in the automated SweetViz report.

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    ggforce: Make a Hull Plot to Visualize Clusters in ggplot2

    Written by Matt Dancho on July 27, 2021
    ...

    ggforce is a ggplot2 extension that adds many exploratory data analysis features. In this tutorial, we'll learn how to make hull plots for visualizing clusters or groups within our data.

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    ggdist: Make a Raincloud Plot to Visualize Distribution in ggplot2

    Written by Matt Dancho on July 22, 2021
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    The ggdist package is a ggplot2 extension that is made for visualizing distributions and uncertainty. We'll show see how ggdist can be used to make a raincloud plot.

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    Forecasting Many Time Series (Using NO For-Loops)

    Written by Matt Dancho on July 19, 2021
    ...

    I'm super excited to introduce the new panel data forecasting functionality in modeltime. It's perfect for making many forecasts at once without for-loops.

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    easystats: Quickly investigate model performance

    Written by Matt Dancho on July 13, 2021
    ...

    The easystats performance R package makes it easy to investigate the relevant assumptions for regression models. Simply use the check_model() function to produce a visualization that combines 6 tests for model performance.

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    R is for Research, Python is for Production

    Written by Matt Dancho and Jarrell Chalmers on July 12, 2021
    ...

    Both R and Python are great. We’ll showcase some of the strengths of each language in this article by showcasing where the major development efforts are within each ecosystem.

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    sklearn: Make your first linear regression model in Python [Video]

    Written by Matt Dancho on July 6, 2021
    ...

    Scikit Learn is a powerful package for making machine learning models. In this Python Tip, we cover how to make your first Linear Regression Model that adds a trendline to a plot.

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    Gentle Introduction to Forecasting with Modeltime [Video Tutorial]

    Written by Matt Dancho on June 29, 2021
    ...

    A gentle introduction to our forecasting package, Modeltime. Modeltime extends the Tidymodels ecosystem for time series forecasting. Learn how to forecast with ARIMA, Prophet, and linear regression time series models.

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