Marco (@mcpasin) header
Marco (@mcpasin) profile picture

Data stuffs. Tweets mostly #rstats #datascience

Lisbon, Portugal
Joined April 2013
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Johns Hopkins is running a free two-week epidemiology course, so we can make some sense out of the messy data out there coursera.org/learn/covid19-e…
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Are you new to R and @rstudio? Check out this amazing analogy by one of our organisers, @JKRWard - linking the different windows to cooking 📜🥔🥦🥚🍳➡️🍲 #rstats #rladies #pastryRchy
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ICYMI, 🕵️‍♂️ Some nice funs for quick EDA… 🔍 "inspectdf: Tools for Exploring and Comparing Data Frames" by @rushworth_a buff.ly/2L2xZIM #rstats
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Early prototypes of reviziting the receipt, one piece of a larger question I want explore: how can viz be integrated into everyday experiences?
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In a very very late #tidytuesday submission, I've used #rstats gganimate to look at Grand Slam #tennis players titles ranking.
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It's disappointing to see how @DataCamp is (not) dealing with the whole situation. Now even hiding their embarrassing post from search engines. My annual subscription is going to end in a couple of days, but I've cancelled it today.
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The stages of relationships towards marriage flowingdata.com/2019/03/26/r…
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glimpse() and skim() , super useful functions to get a feel of your data. How come I am not using them yet? 🤔 Going to incorporate them in my Rmarkdown from tomorrow! 🤓 #rstats #tidyverse
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Over the past year the BBC's data journalists have fundamentally changed the way we produce graphics. Now we’ve open-sourced the tools we use for making production-ready visuals with #rstats and #ggplot. Find out more here: bit.ly/2D1xbg7
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On my first #tidytuesday I started off by analysing how common failures were during the first #space #launches 🚀. Cool dataset, looking forward to deep dive more! #rstats
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raw_ingredients %>% mix() %>% scoop() %>% bake(oventemp=350F, time=20mins) %>% cool(time=30mins) %>% ggplot() + geom_cupcake() + geom_frosting() + geom_oreos() + geom_milk_duds() + geom_reeses_pieces() #rstats #HappyHalloween
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My #earlconf London Keynote is now online! Scientists are not mathematicians: you cannot prove your results, but you can show that they are reproducible. A good way to do this is with #RMarkdown. #rstats @rstudio youtube.com/watch?v=HVlwNayo…
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Looking for the ingredients that make different cuisines taste unique and oh so delicious flowingdata.com/2018/09/18/c…
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There are many sources of uncertainty in data analysis. @StatGarrett talk about the importance of reproducibility at #earlconf @earlconf #rmarkdown
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Thank you @thertrader for contributing an #rstats cheatsheet on Machine Learning, at rstudio.com/resources/cheats… @rstudio
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Some clever ways to visualise histograms with outliers via #rstats edwinth.github.io/blog/outli…
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Welcome "Conversion Probability". Newest metric from @googleanalytics analytics.googleblog.com/201…