Arecibo’s decommissioning marks yet another sign that we’re well into a twilight era for a certain mode of undertaking a

Aren’t you tired of drawing histograms or density plots for every variable segment? There’s an easier solution. Ridgeline plots are a go-to visualization for this type of problem. Yes, even for multiple variables at the same time.

Arecibo Observatory, a Great Eye on the Cosmos, Is Going Dark The radio telescope in Puerto Rico has to come down before it collapses. One of the great icons of human curiosity, the…www.nytimes.com

The most important point is to get your money working for you as quickly as possible and make sure you invest in something that you will be able to hold onto for the long term.

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ve their application use-cases. Channels are used to handle events that must be processed exactly once. This happens in a design with a type of event that usually has a single subscriber, but intermittently (at startup or during some kind of reconfiguration) there are no subscribers at all, and there is a requirement that all posted events must be retained until a subscriber appears.

This article is for informational purposes only. It should not be considered Financial or Legal Advice. Not all information will be accurate. Consult a financial professional before making any significant financial decisions

The dataset you’ll use today is called Rain in Australia, so please download it. You won’t use it to predict rain, as it says in the description, but to make visualizations.

When news broke that Puerto Rico’s famed Arecibo radio telescope was going to be demolished, it sent the scientific community into the kind of mourning typically reserved for its most beloved human heroes and pioneers. For many, Arecibo was more than the world’s second-largest radio telescope and a key instrument in our efforts to probe the cosmos and canvas the universe for extraterrestrial life — it was an iconic monument to the last 50 years of astronomy, to science, even human achievement.

Take a moment to appreciate how much information is shown on this single chart. It would take you 24 density plots for the most naive approach, and comparisons wouldn’t be nearly as easy.

To summarize — use ridgeline plots whenever you need to visualize distributions of variables and their segments in a compact way. Drawing histograms and density plots manually for variable segments is something you should avoid.

Once those priorities are taken care of, I would use the rest of the money to invest in a risk-appropriate portfolio. For me, that would mean investing the entire lump-sum in a single index fund that tracks the global stock market.

And that’s ridgeline plots in a nutshell. You could do more — like coloring the area under the curve by some variable. The official documentation is packed with examples — explore it if you have the time.

It took me a moment to realize nothing is wrong with the visualization. The dataset contains temperature data for Australia. The seasons there are opposite from the ones in the northern hemisphere.

This article is for informational purposes only. It should not be considered Financial or Legal Advice. Not all information will be accurate. Consult a financial professional before making any significant financial decisions

To summarize — use ridgeline plots whenever you need to visualize distributions of variables and their segments in a compact way. Drawing histograms and density plots manually for variable segments is something you should avoid.

If you ever find yourself in the fortunate position to have to worry about what to do with a large sum of money that has come your way, the first thing to do is take a moment to recognize how amazing that is.