Blog Post 8: Tables and Graphs (Tokyo, Japan)

Did you have any difficulties organizing. aggregating or summarizing your data?

Yes, I had only considered to submit one graph in my final report, however, I realized that I needed supplemental graphs and tables otherwise I would not be providing a full picture to the reader of the report. It took me a while to decide what kind of additional data would be beneficial but not redundant to the ones I had already submitted.

Was the outcome as you expected?

Yes, the outcome was as I had expected. Flower abudance increased with decreased temperature and increased humidity. However, I was surprised that even with a small sample size of 9 samples, the significance level of the correlation came out to be significantly meaningful (p<0.05) as I was afraid that would not be the case. Clearly, it would have been better if I had more samples though.

Did your data reveal anything unexpected or give you any ideas for further exploration?

My data provided a linear relationship between the atmospheric factors and flower abudance. However, I wonder if I had studied a wider range of temperature/humidity, that the relationship would still have been linear. Would it have plateaued at some point? In that case would it be a logarithmic relationship? My data suggested a ballpark temperature/humidity range for the blooming of evergreen azaleas, but it made me want to study what the true optimum is for this species.

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