From the course: Python Data Analysis (2020)
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Challenge: Weather anomalies - Python Tutorial
From the course: Python Data Analysis (2020)
Challenge: Weather anomalies
(upbeat chime) - For your challenge, I'm asking you to plot the temperature anomaly for New York by computing yearly temperature averages for each year and comparing those with a mid-century average in the 1945-1955 decade. You can make yearly averages just as we did for the title of the New York Times inspired plot. TMIN plus TMAX over two averaged across the year. To make the mid-century average, just sum up results for 1945 through 1955 and then take the difference. This challenge should take about 15 minutes.
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