Question: Climate Datasets: [Cause] Project; Temps. csy and [Effect] Project; Cherries. csy Hypothesis: Did minimum temperatures in Michigan during a recent period from 2010-2015 have an

 Climate Datasets: [Cause] Project; Temps. csy and [Effect] Project; Cherries. csyHypothesis: Did minimum temperatures in Michigan during a recent period from 2010-2015

Climate Datasets: [Cause] Project; Temps. csy and [Effect] Project; Cherries. csy Hypothesis: Did minimum temperatures in Michigan during a recent period from 2010-2015 have an impact on the production of tart cherries? The connection between temperatures and cherry production is because of many different influences. Plant processes, including photosynthesis, transpiration, respiration, germination, and flowering are influenced by temperatures. As temperature increases, photosynthesis, transpiration, and respiration increase. When combined with daylength, temperature also affects the change from yegetatiye to reproductiye growth. The goal is to see if we can determine the effects of temperatures on the tart cherries. While milder temperatures can result in longer growing seasons, crops that break dormancy too early are at risk for freeze and frost damage. Tart cherries are yulnerable to these spring freeze eyents. Comparing minimum temperatures and anomalies to the production of tart cherries will be explored. Explore the data and answer your hypothesis through plots and statistics. You will complete the following: A) Resample your datasets / and or clean. Complete any that are necessary. Replace suspect values with np.nans (and fully justify your removal of these data from the set) Complete a resampling of the datasets for missing points with datetime. Use Boolean indexing to select a subset of certain data points to analyze. Apply any other methods demonstrated in class for pre-processing data

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