COM6018 Data Science with Python

Week 10 - More assignment feedback

Jon Barker

Group Feedback from Assignment 1

Q3 Plot requirements

"Distribution of Midday Solar and Wind Generation by Month"

Plot requirements:

• Produce seaborn distribution plots stacked vertically:
  • Top: solar generation (MW) during midday (11:00–13:00).
  • Bottom: wind generation (MW) during the same hours.
• The x-axis shows month, i.e. a separate distribution for each month.
• Choose the most suitable way to visualise the distributions (e.g., strip plot, swarm plot, violin plot, box plot, etc.).

Q3 Plot requirements (continued)

Questions (answer from your plot):

• Using the difference between the monthly minimum and maximum values shown in your plot, which energy source has the largest monthly range on average?
• For that source, which month has the largest range, and what is that range (in MW)?

Q3 Considerations

• Is the data correct?
• Does the plot conform to the requirements?
• Are the ranges easy to read?
• Are axes labeled clearly (including units)?
• Has the y-axis been kept consistent across subplots?
• Are grid and tick marks used well to aid readability?
• Is the question answered correctly and from the plot?

Question answer

• Wind has greatest variability.
• November, 17500 MW (approx).

Q3 Example Plots

Q4 Plot requirements

"Distribution of Midday Solar and Wind Generation by Month"

Plot requirements:

• Create a 2×2 grid of scatter plots, one for each month (May–August).
• For each month, plot solar generation (MW) on the x-axis and wind generation (MW) on the y-axis.
• Each point represents a midday (11:00–13:00) observation.
• Include a fitted line or smooth trend if helpful.

Q4 Plot requirements (continued)

Questions (answer from your plot):

• By visual inspection of your plots, is there a positive or negative correlation between solar and wind generation during the 11:00-13:00 time period for these months?
• What is the highest observed wind generation (in MW) when solar generation is
  above 6000 MW?

Q4 Considerations

• Is the data correct?
• Does the plot conform to the requirements?
• Is the plot easily readable?
• Are axes labeled clearly (including units)?
• Has the y-axis been kept consistent across subplots?
• Are grid and tick marks used well to aid readability?
• Does the plot or caption define the seasons?
• Is the question answered correctly and from the plot?

Question answers

• Negative correlation
• June; 10,600 MW

Q4 Example Plots