How to Design Charts and Graphs


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Download Our New e-book: Data Visualization 101 Data visualization is an effective way to share complex information in a simple, easy-to-understand format. The medium has become increasingly popular in recent years for this reason. Unfortunately, not all data visualization is good data visualization. We constantly see charts and graphs that complicate, obscure or altogether misrepresent data—defeating the purpose of data visualization entirely.

Our new collaboration with HubSpot, a convenient guide to all things data visualization.

Here is an example of data-visualization-gone-wrong.

While we cringe to see this happen in so many reports, presentations and infographics, we understand why it happens. Not everyone is a designer, and not every designer is an expert in data visualization. Seeing as we happen to be experts in both areas, we thought it was time to help. So we partnered with HubSpot to create the new e-book, Data Visualization 101: How to Design Charts and Graphs. It’s a convenient go-to guide for designers and non-designers alike, covering all the basics of data design.

Our new collaboration with HubSpot, a convenient guide to all things data visualization.

Our new collaboration with HubSpot, a convenient guide to all things data visualization.

Good data visualization design encompasses many things. It’s not just about understanding the data and choosing the right chart type. It’s about using design elements and critical thinking to present information in a logical, intuitive way, making it as easy as possible for the viewer to understand what the data means. If you are creating data visualizations on a regular basis, this e-book will help you enhance your presentation and increase the impact of your data. We like to make things easy, so we broke it all down for beginners:

  • Understand the different types of data and how they relate to each other
  • Find the story in your data
  • Choose the right visualization for your data, including bar chart, pie chart, line chart, area chart, scatter plot, bubble chart and heat map
  • Learn design best practices for each visualization, plus general data design dos and don’ts
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