TSSFL TECHNOLOGY STACK

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
   
   
2. THE COLOR SCALE
   
   
3. BOX PLOT STATISTICS
   
   
4. CHANGE THE CHART TYPE
   
   
5. OLYMPIC WINNERS
   
   
6. HIGHLIGHT A LINE
   
   
7. CHANGE MAP STYLE
   
   
8. CHANGE MAP PROJECTION
   
   
9. ROTATE A GLOBE
   
   
10. MODULATE A SINE WAVE
    
    
11. FADE A BACKGROUND IMAGE
    
    
12. A RANGE SLIDER TO SELECT THE DATE
    
    
13. A SLIDER TO MODEL AN EQUATION
    
    
14. A SLIDER TO ANIMATE MORTGAGE RATES
    
    
15. A SLIDER TO CALCULATE MOVING AVERAGE
    
    

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!