Dashboards and Data Viz | Design | Tips & Tricks

One of the most important steps in creating an effective and engaging data visualization is selecting the right charts to showcase your data. With so many different charts and graphs to choose from, it can be challenging to make sure that you are choosing the best option to convey your message. Only certain types of charts will be appropriate, and it largely depends on if you are looking to present the distribution, relationship, composition, or comparison of your data. You will also need to consider the number of variables you want to show, as well as whether you are displaying values over a period of time or among items.

We’ve created this handy infographic to guide you through all of the chart types and categories you could want to use in your dashboard. Think of it as a cheat sheet for setting the stage for your data story!

Click below for an enlarged version of the infographic:How to Choose Your Charts InfographicSources: Chart Suggestions – A Thought StarterThe Graphic Continuum, How to Choose the Best Chart For Your Data, Picking the Right Chart for Your Data

Did you find this helpful? Click below to share this infographic on Twitter!

How to Choose Your Charts - #DataViz #Infographic pic.twitter.com/FqLMLId9QQ Click To Tweet

Interested in learning more about the various types of charts? Check out our guide to the Top Charts & Graphs for Your Data.

Alternative Text

Melissa Anderson Senior Graphic Designer

Melissa Anderson is a Graphic Designer with over a decade of experience in the field. She loves drawing sophisticated doodles, hanging out with her deaf pup Betty White, and riding her bike through the city she calls home, Detroit.

Get the Guide - Psychology of Data Vizualization

Get the Guide Fundamental Design Principles for Dashboards

Even if you’re not the artistic type, this guide will have you thinking like a graphic designer and making informed choices that support your data narrative.

Comments

Your email address will not be published. Required fields are marked *