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    How to Make a Heatmap in R

    Written by Matt Dancho on October 12, 2021
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    The ggplot2 package is an essential tool in every data scientists toolkit. Today we show you how to use ggplot2 to make a professional heatmap that organizes customers by their sales purchasing habits.

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    3 Ways to Read Multiple CSV Files: For-Loop, Map, List Comprehension

    Written by Matt Dancho on September 21, 2021
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    Reading many CSV files is a common task for a data scientist. In this free tutorial, we show you 3 ways to streamline reading CSV files in Python.

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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
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    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
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    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
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    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
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    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
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    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
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    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
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    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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