Open PhilipeRLeal opened 3 years ago
Hey @PhilipeRLeal
Thanks for your feedback! Do you want to submit a pull request?
I definitely would like to do it. Nevertheless, I am unsure of the plot labelling; what would be the xlabel of the axis? Could you aid me here? Once I properly understand what the xaxis represents, I can make a Pull Request for it.
After some brainstorming, I got wondering whether the "xaxis" of those plots represented the likelihood of each of the classes applied in the model (i.e., the High-School, Bachelor, Masters and Ph.Ds). If that supposition is correct, I presume that we could add a label to the xaxis of each of the subplots varying from ["Not-Likely to Know the Language" <-> "Likely to Know the Language"].
Let me know your thoughts.
Sincerely,
Ah, it's the probability of having a given education level
Dear Marco,
I have updated the Repository with a set of explanations and a further in-depth discussion of the results.
Please, let me know if my Pull Request is OK, especially with respect to the results discussion and comments provided.
Sincerely,
Philipe Riskalla Leal Ph.D. in Remote Sensing (INPE - Brazil) MSc in Sciences (USP - Brazil)
Em sex., 29 de out. de 2021 às 19:34, Marco Edward Gorelli < @.***> escreveu:
Ah, it's the probability of having a given education level
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Thanks, much appreciated! I'll take a look when I get a chance
Dear @MarcoGorelli,
Since your presentation at PYDATA 2021 (this morning), I have been testing and studying your example using numpyro for MCMC models.
I noticed that the Probability Distribution Plots (within the Jupyter-notebook) could be better documented by means of adding labels to the matplotlib.Axes.axis "X" and "Y". At the present moment, solely the "Y" axis is labeled (e.g., with the word "Density").
Let's take the second figure of the Jupyter Notebook as an example (cell 15):
Since its "X" axis range from 0 up to 1, I am having trouble understanding its meaning. Therefore, my suggestion is to add some labelling to this axis.
Notice here that the same Issue is applicable to the figure at cell 20 of the provided Jupyter-Notebook.
Let me know your thoughts.
Sincerely,