Advantages and Best Uses of Four Popular Data Visualization Tools
Data visualization platforms vary widely in their capabilities, required skill sets, and uses. While some platforms are easy to use, they oftentimes can’t communicate complex, multivariable data the way that tools with a little more complexity can. Here, we compare four popular visualization programs and their advantages, disadvantages, and... Read more
Data Visualization – Part 3
What Type of Data Visualization Do You Choose (if any)? Determining whether or not you need a visualization is step one. While it seems silly, this is probably something everyone (including myself) should be doing more often. A lot of times, it seems like a great way to showcase the... Read more
Plotting author statistics for Git repos using Git of Theseus
I spent a few days during the holidays fixing up a bunch of semi-dormant open source projects and I have a couple of blog posts in the pipeline about various updates. First up, I made a number of fixes to Git of Theseus which is a tool (written in Python) that... Read more
Data visualizations can have very different goals and functions depending on the area of application. Success must therefore be measured against different quality criteria, depending on the task. When used in data analysis, success means, that a data scientist can identify the structures and patterns that she needs for... Read more
Data Visualization – Part 2
A Quick Overview of the ggplot2 Package in R While it will be important to focus on theory, I want to explain the ggplot2 package because I will be using it throughout the rest of this series. Knowing how it works will keep the focus on the results rather... Read more
The Cocktail Guide v2.0
Revamped one of my earlier Tableau creations for submission to ‘Tableau Student Viz Contest‘. Posting here in case anyone’s interested in having a look.   Read more
What Makes a Good Data Visualization – a Data Scientist perspective
Data visualization has been a subject of many thousands of books, courses, and blogs. My course on data mining included a one-hour lecture on Data Visualization. However, since you, my reader, don’t have an hour to read this blog, here is a KDnuggets-sized summary of what makes a good data visualization... Read more
Data Visualization – Part 1
Introduction to Data Visualization – Theory, R & ggplot2 The topic of data visualization is very popular in the data science community. The market size for visualization products is valued at $4 Billion and is projected to reach $7 Billion by the end of 2022 according to Mordor Intelligence. While we... Read more
Making sense of facts, numbers, and measurements is a form of art – the art of data visualization. There is a load of data in the sea of noise. To turn your numbers into knowledge, your job is not only to separate noise from the data, but also to present... Read more
Bundle Buddy
When building a complex JavaScript application, it is common to minify code and bundle files together to optimize network requests so the app loads faster. A common pattern for complex and large applications is code splitting. Typically this breaks up the bundles by each route in your application so... Read more
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