Today @OurWorldInData released a new page on the topic of poverty.
Global poverty is a pressing problem: The poorest in the world are often undernourished, without access to electricity, safe drinking water and education, and suffer from poor health.
@OurWorldInData The page includes a number of resources that you can use to get a handle on the issue:
- new research and data
- an exploratory data analysis tool
- expert curated insights that highlight the most important top-level findings
For the @OurWorldInData publication, this release represents not only a new page on an important topic, but a step forward in how information on these big global topics will be presented going forward.
It's a hard challenge: how do you make data available in a useful format for an expert audience of researchers and policy makers while also making it understandable for novices who are just starting to learn about a topic?
At the top of the new topic pages are key insights, a collection of the main takeaways of a given topic curated by expert authors for those that want an *overview*.
These insights combine data visualizations with short explanations that allow readers to quickly understand the most important aspects of the subject.
Next, interactive data explorers allow readers to engage with and manipulate the data, quickly switching between metrics and comparing countries.
These explorers enable readers to discover their own insights by *filtering and zooming* data and creating custom visualizations
Interested readers can then dig into methodological explanations of key metrics, research and writing that provides in-depth analyses of global problems and potential solutions, and a visual gallery of all the charts that we’ve made on a topic.
We'll continue to iterate and refine the design of these pages.
And we really appreciate your feedback. Do you find it easy to navigate? What do you find confusing? If you have comments or suggestions please get in touch (DMs are open)
It’s complicated, but our new interactive helps break it down. Latest with @charlie_smart_ shows what the path to herd immunity could be in different possible scenarios.
How quickly we reach it depends on factors including:
- the speed and uptake of vaccination
- how long social distancing measures and other precautions are in effect
- what plays out with virus variants
This makes it unrealistic to predict an exact date things return to normal
There are also other unknowns, such as the true number of people who have already been infected, and how long immunity lasts.
So in each scenario we give two estimates of when the threshold is reached: one that includes all immunity and one that only includes vaccinations
Now that things have settled down a bit with @ParametricPress I want to share a couple tech tidbits that I found interesting when putting together the issue.
Maybe you'll find them interesting too.
👇
First, the graphics in parametric.press/issue-01/on-pa… were all made with a GUI editor, without ever dropping down into JavaScript to write visualization code
The author, @RicMBianchi, used Apparatus (aprt.us) to create *parameterized* graphics.
This means that the graphic can update visually according to the value that certain variables take on. GIF shows an example of what this editing process looks like:
I decided to install windows 10 on an old laptop since OSX is frustrating recently. trying to install and play minesweeper was a little microcosm of so much that's wrong with computing today.
first, it doesn't come pre-installed, you have to search for it in through microsoft app store and download. fine, nothing wrong with that.
but the download starts and its almost 200MB. 🤔 maybe they added some sweet textures
download completes. when you open the app you see this a popup asking you to sign in to a MS account, ostensibly to share a high score, more likely just because they really want you to sign in. Win 10 is maybe the thirstiest of all time in this regard