It’s been hotter this summer than at any time since 1880!
How can Data Scientists help demonstrate the way that our climate is rapidly changing and help in the communication of the seriousness of the situation? We take a look at the way we can present the data effectively through analysis and visualization and fine-tune the representation of that data.
But first, let’s take a short journey through some of the consequences of global warming. Then we will consider how to effectively visualize the data with Plotly and Python, and see how we can demonstrate how those data relate to CO₂ emissions.
This map from NASA shows this summer’s global temperature anomalies when compared to the 1951 to 1980 average and I’m not surprised to see that the part of Europe where I live is one of the areas on the globe where the temperature change has been the highest — it’s been sweltering here in Spain with temperatures of 40 degrees Celsius (that’s 104 degrees Fahrenheit) not being unusual.
The effects
The high temperatures have exacerbated wildfires in Canada, Hawaii, parts of Europe and elsewhere, and have likely contributed to the massive rainfall events that have been seen around the globe.
Wildfires in Europe are not unusual in the summer months but this year they have been particularly fierce, especially in Greece where evacuations took place from the islands of Rhodes and Corfu, among other areas, and many people died or were injured. And, of course, in Hawaii, a whole town was destroyed.
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