Eight New Ideas From Data Visualization Experts
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(This article was first published on Plotly, and kindly contributed toR-bloggers) This post summarizes and visualizes eight key ideas we’ve heard from data visualization experts. Check out our firstCase Study to learn more about using Plotly Enterprise on-premise, on your servers. To get started on free online graphing like in this post, check outour tutorials.
Institutional memory is crucial for research. But data is easily lost if it’s on a thumbdrive, in an email, or on a desktop. The team atOverleaf is enabling reproducible, online publication. You can import Plotly graphs into Overleaf papers and write together.
Graphing pros love using statisical graphs like histograms, heatmaps, 2D histograms, and box plots to investigate and explain data. Below, we’re showing a log axis plot, a boxplot, and a histogram. The numbers are Facebook users per country. Curious? We havetutorials.
For further customizations, use our JavaScript API. You (or a developer on your team) can build custom controls that change anything about an embedded Plotly graph
If you are an R user, you can render and embed interactive ggplot2 graphs in Shiny with Plotly. Seeour tutorial.
If you liked what you read, please consider sharing. We’re at feedback at plot dot ly, and@plotlygraphs.
Make Interactive Graphs
Pictures of graphs in PowerPoints, dashboards, and emails can be dull. Viewers get value when they can see data with their mouse, zoom, filter, drill down, and study graphs. Plotly usesD3.js so all your graphs are interactive.The graph below models the historical temperature record and associated temperature changes contributed by each factor.
Make Graphs With IPython Widges In Plotly & Domino
Our friends at Domino wrote a blog post showing how you or a developer on your team can use Domino, Plotly’s APIs, and IPython Notebooks to add sliders, filters, and widgets to graphs and take exploration a new direction. Seeour tutorial to learn more.
Reproducible Research with Plotly & Overleaf
Institutional memory is crucial for research. But data is easily lost if it’s on a thumbdrive, in an email, or on a desktop. The team atOverleaf is enabling reproducible, online publication. You can import Plotly graphs into Overleaf papers and write together.
- https://plot.ly/~Dreamshot/628/.png
- https://plot.ly/~Dreamshot/628.pdf
- https://plot.ly/~Dreamshot/628.svg
- https://plot.ly/~Dreamshot/628.eps
- https://plot.ly/~Dreamshot/628.py
- https://plot.ly/~Dreamshot/628.m
- https://plot.ly/~Dreamshot/628.r
- https://plot.ly/~Dreamshot/628.json
- https://plot.ly/~Dreamshot/628.jl
- https://plot.ly/~Dreamshot/628.embed
Use Statistical Graphs
Graphing pros love using statisical graphs like histograms, heatmaps, 2D histograms, and box plots to investigate and explain data. Below, we’re showing a log axis plot, a boxplot, and a histogram. The numbers are Facebook users per country. Curious? We havetutorials.
Use 3D Graphs
Embed Interactive Graphs With Dashboards
Customiz Interactive Graphs With JavaScript
For further customizations, use our JavaScript API. You (or a developer on your team) can build custom controls that change anything about an embedded Plotly graph
Embed Interactive Graphs With Shiny
If you are an R user, you can render and embed interactive ggplot2 graphs in Shiny with Plotly. Seeour tutorial.
If you liked what you read, please consider sharing. We’re at feedback at plot dot ly, and@plotlygraphs.
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