15 Clean, Stylish, Flexible and Interactive Plotly Charts with Sliders, Dropdowns, and Buttons

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Eli
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Below are 15 charts created by Plotly users in R and Python each incorporate buttons, dropdowns, and sliders to facilitate data exploration or convey a data narrative.

You can try Plotly’s libraries for R and Python - they are free and open-source. Check out interactive controls in Python and R.
  1. WIND FARM PARKS

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  2. THE COLOR SCALE

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  3. BOX PLOT STATISTICS

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  4. CHANGE THE CHART TYPE

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  5. OLYMPIC WINNERS

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  6. HIGHLIGHT A LINE

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  7. CHANGE MAP STYLE

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  8. CHANGE MAP PROJECTION

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  9. ROTATE A GLOBE

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  10. MODULATE A SINE WAVE

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  11. FADE A BACKGROUND IMAGE

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  12. A RANGE SLIDER TO SELECT THE DATE

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  13. A SLIDER TO MODEL AN EQUATION

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  14. A SLIDER TO ANIMATE MORTGAGE RATES

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  15. A SLIDER TO CALCULATE MOVING AVERAGE

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You may consider attending a workshop at PLOTCON 2017 for more help by Plotly experts in creating advanced charts, dashboards, and controls with R and Python: https://plotcon.plot.ly/workshops.

For more flexible controls of Python or R charts, see RStudio’s Shiny for R or GitHub Plotly’s Dash for Python.

Enjoy!
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