Plotly’s Top Ten Graphs, Charts and Visualizations of 2015

Happy New Year Everyone!

We decided to put together the top 10 most outstanding Plotly charts from 2015 to show you the power of our platform.

These interactive graphs were made using Plotly’s web app and APIs. To securely share graphs and data within a team and make interactive dashboards, contact us about Plotly On-Premise.

If you’re interested in making charts like these, consider upgrading to a Pro or On-Premise plan for 2016.

10. “Support for Same-Sex Marriage, 2001–2014”

These Tufte sparklines were produced by Pew Research.

See Interactive Plot

Produce them using Python, R and the Plotly web app.

9. “Communities in a Facebook network”

This network graph was produced by empet.

Learn how to make this network graph in IPython Notebooks with Plotly. You can also make it in R and MATLAB.

8. “US Treasury yield curve”

This surface chart was produced by Plotly co-founder chris.

Learn how to make this 3D surface chart in Python with Plotly. You can also create it in R and with Excel data in the Plotly web app.

7. “Waterparks in the US”

This chloropleth map was produced by a blogger named rozran00.

Learn how to make this chloropleth map in Python with Plotly. You can also do it in R and with Excel data in the Plotly web app.

6. “Dendrogram heatmap”

This dendrogram heatmap was produced by Masters student in Biology named oxana.

Learn how to make this dendrogram heatmap in Python with Plotly. You can also do it in ggplot2.

5. “Master Painter Color Choices Throughout History”

This bubble chart was produced by brandnewpeterson.

See Interactive Plot

Learn how to make this bubble chart in Python with Plotly. You can also make it in R, Matlab, and with Excel data in the Plotly web app.

4. “Periodic Table of Elements”

This annotated heatmap was produced by Plotly software engineer chelsea_lyn.

See Interactive Plot

Learn how to make this annotated heatmap in Python with Plotly. You can also make it in R, Matlab and with Excel data in the Plotly web app.

3. “Co-authorship Network of Scientists”

This network graph was produced by empet.

See Interactive Plot

Learn how to make this network graph in IPython Notebooks with Plotly. You can also make it in R and Matlab.

2. “The Breather Surface”

This 3D surface plot was produced by data scientist tarzzz.

See Interactive Plot

Learn how to make this 3D surface plot in Python with Plotly. You can also make it in R, Matlab, and with Excel data in the web app.

1. “Flow of Visitors Between Cities”

This chord diagram was produced in Python by empet.

See Interactive Plot

Learn how to make this chord diagram in Python with Plotly. Here is the code to visualize it in R and Matlab.

Find out how Plotly can change your charts with our free tutorials.

With graphs like these, take advantage of unlimited API calls, unlimited private charts and custom themes by upgrading to our Professional or On-Premise plan today.

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