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Category: Visualization

Extending a tinyAML and shiny App

Published 2023-05-02 by Kevin Feasel

Steven Sanderson wraps up a series on shiny and tinyAML. Part 3 extends options for regression:

As data science continues to be a sought-after field, creating a reliable and accurate model is essential. While there are various machine learning algorithms available, the process of selecting the correct algorithm can be complex. The {tidyAML} package, part of the tidymodels suite, offers an easy-to-use, consistent interface for building machine learning models. In this post, we will explore a Shiny application that utilizes tidyAML to build a machine learning model.

Today I have updated the tidyAML shiny app to include the ability to set the parameter of the fast_regression() function .parsnip_fns and this is things like linear_reg.

And part 4 includes classification:

This is a Shiny app for building models using the {tidyAML} which is based on the tidymodels package in R. The app allows you to upload your own data or choose from one of two built-in datasets (mtcars or iris) and select the type of model you want to build (regression or classification).

Let’s take a closer look at the code.

This was an interesting series, for sure.

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Creating a Clickable Word Cloud with Shiny

Published 2023-04-28 by Kevin Feasel

Mandy Norrbo builds a word cloud:

Word clouds are a visual representation of text data where words are arranged in a cluster, with the size of each word reflecting its frequency or importance in the data set. Word clouds are a great way of displaying the most prominent topics or keywords in free text data obtained from websites, social media feeds, reviews, articles and more. If you want to learn more about working with unstructured text data, we recommend attending our Text Mining in R course

Usually, a word cloud will be used solely as an output. But what if you wanted to use a word cloud as an input? For example, let’s say we visualised the most common words in reviews for a hotel. Imagine we could then click on a specific word in the word cloud, and it would then show us only the reviews which mention that specific word. Useful, right?

Read on to see how you can create one of these.

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Removing Chartjunk

Published 2023-04-25 by Kevin Feasel

Elizabeth Ricks takes out the trash:

Why is clutter so hard for us to let go of? Perhaps because we think something has always been there, so it must belong there and we’re afraid of what might happen if we eliminate it. Or perhaps we don’t have a good framework for evaluating whether something is useful or not. 

This same concept applies to our graphs and business communications. We tend to blindly accept the default settings of our tools and very rarely consider if the included elements actually have a purpose. The “Windows XP” question, in this case, is: does this element add enough informative value to make up for its presence?” 

This is one of the most important ideas Edward Tufte championed—other than “pie charts are dumb, so don’t use them”. I don’t completely agree with Tufte’s definition of the term, which is (paraphrasing and going by memory) any marking on the page not absolutely necessary to convey the most relevant details to a viewer. But in this post, Elizabeth shows quite a bit we could remove while losing no critical information.

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Diagramming a Finite State Machine with Mermaid.JS

Published 2023-04-24 by Kevin Feasel

Matt Eland defeats the boss:

A year or two ago I built a small game prototype that featured a boss fight with a crab monster that was powered by a finite state machine. This monster waited for the player to enter its arena, then descended from the ceiling, roared a challenge, and began fighting the player.

The monster was only damageable after it finished descending. Taking enough damage would make the monster react in pain before it could attack again. Hurting the monster enough caused it to die.

Read on to see how you can model this information in a finite state machine and, from there, how to visualize it with the Mermaid library. I have used Mermaid in the past and can certainly recommend it if you need to generate diagrams programmatically.

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Using Dynamic Format Strings for Measures in Power BI

Published 2023-04-24 by Kevin Feasel

Meagan Longoria shows off a new preview feature:

The April 2023 release of Power BI desktop introduced a new preview feature called dynamic format strings for measures. This allows us to return values with different formats from the same measure. Previously, we needed to create calculation groups (usually by using Tabular Editor) to accomplish this. But now it is built in to Power BI Desktop.

Read on to learn good use cases for this feature, as well as a few important notes on operation and limitations.

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Styling Excel Tables in R

Published 2023-04-14 by Kevin Feasel

Steven Sanderson wants to spice things up:

The styledtable package in R, which allows users to create styled tables in R Markdown documents. The package can help to create tables with various formatting options such as bold text, colored cells, and borders. It also has functionality on how to port these to Excel itself.

The package offers a simple syntax that allows users to specify formatting options using HTML and CSS. The resulting table can be customized by changing the CSS file or by using the ‘styler’ function to apply custom styles to individual cells or rows.

Read on for more information on what the package does and a few examples of how it works.

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Comparing Data Visualization in Excel and R

Published 2023-04-14 by Kevin Feasel

Amieroh Abrahams builds some graphs:

In Excel it is challenging to eye-ball which changes have been made to a graph, especially if these were minor changes. With R (and some easy to use version control systems), you can see exactly which files were changed. Also, in Excel, a user would usually draw a graph on a single Excel document, and if the same graph is required on a different data set, it is common to copy-and-paste a bunch of manipulations and configurations to another document. Such repeated human interaction is prone to introducing errors, as well as consuming a large amount of time. With R we can avoid this by creating functions, which can be used to run the same code on different data sets simply by changing the input, thereby producing reliable outputs and saving us a lot of time.

Click through for the article. One big thing in Excel’s defense that I did not see here was that it’s a lot easier to perform specific story-telling in Excel visuals. For example, highlight just these two data points, or annotate this segment of the visual. You can do those things in ggplot2 but it’s considerably more difficult than “right-click the data point and format.”

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Tooltip Design with CSS

Published 2023-04-05 by Kevin Feasel

Tim Brock takes on tooltips:

While colour-highlighting can be a great way of emphasizing part or parts of a chart or diagram, it doesn’t usually add precise information, which was important to the client. To add this precise information we used a tooltip. But to make them as effective as possible we had to spend a bit of time refining their design.

Click through for several tips on tooltip design, including a technique to minimize tooltip occlusion (in other words, the tooltip blocking important information underneath it).

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Tips for Enhancing Power BI User Experience

Published 2023-04-03 by Kevin Feasel

Mara Pereira provides some guidance:

Before we dive into the nitty-gritty, let’s address the elephant in the room – what exactly is user experience, and why is it such an indispensable factor in reporting and Power BI?

To put it simply, user experience (UX) is the overall impression and interaction your audience has with your report. It goes beyond aesthetics; UX focuses on the ease of understanding, navigation, and the ability to extract valuable insights from the data presented. In the world of reporting, having a top-notch user experience is crucial, as it can make or break the effectiveness and adoption of your reports.

The post stays mostly at a high level, providing motivational guidance rather than “here are the specific actions to take on a given report.” What it does provide is the reasoning behind why you would make those changes.

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Building a Unit Chart

Published 2023-03-28 by Kevin Feasel

Elizabeth Ricks describes a type of visual:

Unlike other charts that use line length, position on an axis, or area to represent values, unit charts are made up of individual markers—geometric shapes, icons, images, etc—that encode quantities based on how many of that unit are shown. Examples of unit charts are ISOTYPE charts, square area charts (also known as waffle charts), symbol charts, and pictorial charts. They are commonly used in media, advertisements, and infographics. 

Click through for some good use cases for unit charts.

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