Visualization

Data Visualization 102: The Most Important Rules for Making Data Tables

Data Visualization 102: The Most Important Rules for Making Data Tables
What are effective ways to use tables to convey information?Picture from Mika BaumeisterIn a previous post about data visualization in data science and statistics, I discussed what I consider the single most important rule of graphing data. In this post, I am following up to discuss the most important rules for making data tables. I will focus on data tables in reporting/communicating findings to others, as opposed to the many other uses of tables in data science say to store, organize, and mine data.
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Reflecting on a decade of data science and the future of visualization tools

Reflecting on a decade of data science and the future of visualization tools
Data science has exploded over the past decade, changing the way that we conduct business and prepare the next generation of young people for the jobs of the future. But this rapid growth was coupled with a still evolving understanding of data science work, which has led to a lot of ambiguity toward how we can use data science to derive actionable insights from our piles of data.
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Modernizing Data Dashboards.

Modernizing Data Dashboards.
Modernizing is critical to apply the latest technologies and practices to address areas where users are less than satisfied and data trust needs to be higher. In this article, learn about modernizing data visualization with dashboards and reports.
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Beautiful Mathematical Images

Beautiful Mathematical Images
The topic discussed here is closely related to optimization techniques in machine learning. Dynamic systems, especially discrete chaotic ones, in two dimensions.
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100 Beer Styles

100 Beer Styles
How well do you know the different beer styles and names? Or even what differentiates one beer from another? Dive into Bo McCready's visualization on all things beer and learn the ABV, IBU, and SRM ranges of each one of them.
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