Are Phase I resolutions a thing? If they weren’t, there are now. Because my Phase I resolution is to become more organized. Not only in terms my house or my business plans, but with my data. So when I saw my friend Thomas Mock post on LinkedIn about the package “Reactable,” I was inspired to check some features out.
Read MoreIn my business school Investments course, we used macros in Excel to pull Yahoo Finance data and simulate portfolios. No stranger to trading, but new to macros, I thought it was the coolest thing. But, as usual, anything Excel can do R can do better, as proven by my new favorite package: “tidyquant.”
Read MoreDemand for data scientists may change in the light of new unemployment statistics estimated by the International Labour Organization; they predict that the coronavirus will engineer the loss of approximately 24.7 million jobs worldwide (cnbc.com). However, such uncertainty has yet to stifle the enthusiasm of those curious to learn about the newest data science tools, which inspired my #DataEveryone chat last week about navigating the industry’s job market.
Read MoreA lot of us are spending a lot more time at home than usual. The fact that I’m even considering replacing my habit of working on my phone from bed with formally sitting at a desk I might order is proof of that. If experimenting with new packages in R is not in the cards for you during this time, that’s totally understandable. But if it is, I have a tutorial for you - one inspired by our additional nesting hours.
Read MoreLately, at my weekly Twitter chat #DataEveryone, I’ve been having the guests ask the questions. Last week’s prompt urged them to show up with the one question on their minds throughout the first week of “social distancing”, which has now been more accurately labeled as “physical distancing.”
We received feedback on our own questions while simultaneously answering those of others. It was a true meeting of minds and a much needed solace at the onset of this dark time.
Read MoreOn Thursday, our #DataEveryone Twitter chat was focused on something we all love: books! Our industry chat brings together some of the brightest experts in data science, who contributed their best reading recommendations that will boost you towards your end-of-2019 project goals. With each title, I will put the Twitter handle of the data scientist who suggested it so that if you want to interact or as questions about the title you can. Happy Reading!
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