FAQ: Data Visualization Basics - Aesthetic Properties II: Information Redundancy

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This community-built FAQ covers the “Aesthetic Properties II: Information Redundancy” exercise from the lesson “Data Visualization Basics”.

Paths and Courses
This exercise can be found in the following Codecademy content:

[Beta] Machine Learning/AI Engineering Foundations
Data Scientist: Analytics Specialist
Data Scientist: Natural Language Processing Specialist
Data Science Foundations
Data Scientist: Inference Specialist
Data Scientist: Machine Learning Specialist

Principles of Data Literacy

FAQs on the exercise Aesthetic Properties II: Information Redundancy

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2

I really thought the different colors represent the different companies.
Since three companies and three colors used only.
clarifications anyone?

3

It is stated in the exercise:

Color and x-position are also redundant on this graph, making the chart a little easier and faster to interpret. The three color groups in the graph help break up the three-ish decades shown, giving us a sense in one glance that red circles are part of an early group, purples are in a middle group, and blues are the latest.

A bit hard to tell the colors apart exactly by visual inspection alone. But, the red circles show the companies from approximately 1975-1990, the purple circles show the companies from approximately 1990-2002, whereas the blue circles show the companies from approximately 2002-2012.

You can view the chart at:
https://archive.nytimes.com/www.nytimes.com/interactive/2012/05/17/business/dealbook/how-the-facebook-offering-compares.html
On the above webpage, if you hover your mouse over a circle, information about the specific company will pop up.

4

Thank you so much
Much appreciated

5

Hi folks, I used to work in mgmt consulting and now work as BI team lead. In both industries data viz is very important and I have always trained my teams (and was trained) that we need to avoid data redundancy as much as possible. Why? Because we don’t want our brain to think more than it’s supposed to: 1 attribute of a visualization = one dimension. E.g. if time is on the x-axis, there is no need to show it in colors because in increases the brain work to make sense of the chart.

Just wanted to let you know – I’d review this page of the course.

6

What is meant by idea of variables being “encoded” with properties?

I have tried to google but maybe am not searching for right thing

Thanks