Category: Class Notes

  https://www.quora.com/Where-can-I-find-large-datasets-open-to-the-public https://github.com/curran/data https://www.gapminder.org/data/ http://datacanvas.org/ http://databits.io/ Canada https://open.canada.ca/en/open-data https://open.canada.ca/en/working-data https://data.gov.bc.ca/ API’s https://developers.google.com/apis-explorer/#p/

Here is an updated list of d3 examples, sorted alphabetically. Most of the D3 examples in this list come from this excel list but I also added some updates and my examples to push the list over 2K. Examples are really helpful when doing any kind of development so I am hoping that this big…

Why visualize data? It is a good way to communicate complex information, because we are highly visual animals, evolved to spot patterns and make visual comparisons. To visualize effectively, however, it helps to understand a little about how our brains process visual information. The mantra for this week’s class is: Design for the human brain!…

Before we leap into creating visualizations, charts and maps, we’ll consider the nature of data, and some basic principles that will help you to investigate datasets to find and tell stories. This is not a course in statistics, but I will introduce a few fundamental statistical concepts, which hopefully will stand you in good stead as we work…

Nominal A Nominal variable (sometimes called a categorical variable) is one that has two or more categories, but there is no intrinsic ordering to the categories or is qualitative. For example, gender is a categorical variable having two categories (male and female) and there is no intrinsic ordering to the categories. Hair color is also a categorical…

There is a vast sea of Visualization types, some used commonly and others seldom seen and understood. This posting is a starting point for gathering a definitive list of visualization types. Here is Google’s Chart Categorization.

Welcome to Making Data Interactive on Haig Armen Courses. This is a new course introduced in January 2017 that explores how to design and build interactive data visualizations. Check out the course outline for more information about the course or the course schedule for topics and syllabus.