Tableau and Plotly Dashboards: Science, Finance, Banking, 3D & Beyond
To see the interactive versions of these charts, head over to our blog. If you’re inclined to share, here is the link: http://blog.plot.ly/post/104861235017/tableau-and-plotly-dashboards-science-finance
Suppose you work with business analysts, data scientists, marketers, and developers. You want to bring these teams together, combining the power of Tableau with the collaboration and flexibility of Python, R, Excel, MATLAB, and Plotly (see our APIs). You need a flexible, collaborative BI solution.
Assuming you’ve downloaded and installed Tableau Public, open a new dashboard and drag “web page” onto the Tableau canvas. Tableau triggers a dialogue asking for a URL. You can place a Plotly graph URL into the box and add .embed. Then “save to web.” See the gif in full-size here.
Tableau / Plotly Dashboard #1: S&P 500 Comparisons & 3D Volatility Surface
The S&P 500 graphs in our first dashboard are embedded with a customized size, e.g.,https://plot.ly/~matlab_user_guide/1963.embed?width=640&height=480.
Tableau / Plotly Dashboard #2: Nobel Prize Winners & Scientific Achievement
Here is a Nobel Prize dashboard with a Plotly graph showing a confidence interval and a Tableau map.
Tableau / Plotly Dashboard #3: The Mandelbrot Set
Our next dashboard combines Plotly’s 3D graphing with Tableau’s sliders to let you drill down into the Mandelbrot Set.
Tableau / Plotly Dashboard #4: Turkey Size, Cost, & Growth
For our final dashboard, we’ve used custom Tableau data markers with a Plotly polynomial fit to examine turkey size, growth, and cost.
Exporting & Collaboration
Plotly graphs are cloud-based (or you can host Plotly on-premise), and can be edited online by anyone added as a collaborator. You can download the plot in many forms, make get requests for the data from multiple programming languages, and collaborate between users. Updates will show in the hosted iframe. If users click the “Play with this data” button on an embedded Plotly graph, they’ll get options to access the code, data, and graph: