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Where should I start? OK, the story goes like this ...
rBlocks: A port of #ipythonblocks to #rstats http://t.co/iMMRPCxQIN @simplystats @gvwilson @hadleywickham pic.twitter.com/6LQmN4LZWM
— Ramnath Vaidyanathan (@ramnath_vaidya) March 12, 2014
Colouring #rstats df with @ramnath_vaidya #rBlocks Iris revisited http://t.co/TFDDXGK7y2 nvr thought df can be funky? pic.twitter.com/ue2ajM0ZXQ
— Jo-fai Chow (@matlabulous) March 18, 2014
@matlabulous Cool application! I am trying to make this easier by trying to squeeze color and values into same structure.
— Ramnath Vaidyanathan (@ramnath_vaidya) March 18, 2014
@ramnath_vaidya thanks! With auto colours we can visualise the process of evolutionary optimisation or model ensembles quickly with #rBlocks
— Jo-fai Chow (@matlabulous) March 18, 2014
@matlabulous Feel free to suggest features on github.
— Ramnath Vaidyanathan (@ramnath_vaidya) March 18, 2014
@ramnath_vaidya done :) https://t.co/8HoCYSrWBr
— Jo-fai Chow (@matlabulous) March 18, 2014
@ramnath_vaidya another go at #rBlocks exploratory analysis on 'AirPassengers'. This time with #RSkittleBrewer! pic.twitter.com/kcZYYDmyVl
— Jo-fai Chow (@matlabulous) March 19, 2014
Conway's Game of Life animated using #rstats #rBlocks #animation @ramnath_vaidya @xieyihui http://t.co/VegpVUqSKn http://t.co/b1zMQzDrcN
— Jo-fai Chow (@matlabulous) March 19, 2014
@Jowanza did you read my mind? http://t.co/VegpVUqSKn http://t.co/b1zMQzDrcN
— Jo-fai Chow (@matlabulous) March 19, 2014
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This was such an intriguing read! The #rBlocks concept adds a creative twist to R programming, encouraging experimentation in a more modular and playful way. I love how you’re blending coding with a hands-on approach to problem-solving. It’s inspiring to see R users being innovative and thinking outside the box, especially with experiments like these.
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Fascinating insights into the #rBlocks experiments! It's great to see how you're exploring the potential of rBlocks for data visualization and analysis. The experimentation process you’ve shared offers a valuable perspective for those looking to leverage this tool in their own projects. I particularly appreciate the emphasis on community feedback and collaboration—it's a powerful way to enhance these experiments. It would be interesting to see some specific examples of how rBlocks has improved workflows or insights for users. Thanks for sharing your journey—this is a great resource for anyone interested in innovative data practices!
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