Dear ScatterPlot-Sorcerers: Below is the score breakdown for your proposal. Details of things that should be updated/revised are provided in separate issues. As you address them, you should close the individual issues.
You can do this in one of two ways:
On GitHub, by clicking on Close issue
Via a commit that directly addresses the issue.
Please use the second method wherever a fix can be tied to a commit. If you preface your commit messages with "Fixes", "Fixed", "Fix", "Closed", or "Close", the issue will be closed when you push the changes to your repo. For example, suppose you want to close issue #2 which, hypothetically, suggested that you add a new line to the README, your commit message can say something like Add a new line to the README, closes #2.
Once you've closed all of the other issues, close this one as well, so that going into the presentation you have no open issues remaining.
Available
Earned
Data
3
3
Proposal
5
5
Workflow
1
1
Teamwork
1
1
Total
10
10
Some minor issues:
"It contains the data about each episode till July 2023" Use the correct grammar, "until", not "till".
If you have a table with metadata, I suggest also giving the data types (factor, numeric, etc.)
Your 1.1-1.3 format is a little confusing, are they all supposed to be questions?
You are slightly inconsistent when discussing variables - e.g., scoville scale vs. spiciness (scoville scale). I would recomment just saying scoville scale after you explain it above.
Suggestions:
Since your Q1 has two potential correlations to address, I suggest first looking at a ggpairs correlation matrix. This will inform you as to whether scoville score influences any of the variables in question. Your final plot as a scatterplot makes sense, but pick the specific relationship you want to test in Q1.
The second question in Q2 doesn't really make sense to me as a correlation, I suggest checking it with the ggpairs plot I recommended above. Specifically - "Is there any correlation between the distributions and the length of the seasons?"
Dear ScatterPlot-Sorcerers: Below is the score breakdown for your proposal. Details of things that should be updated/revised are provided in separate issues. As you address them, you should close the individual issues.
You can do this in one of two ways:
Please use the second method wherever a fix can be tied to a commit. If you preface your commit messages with "Fixes", "Fixed", "Fix", "Closed", or "Close", the issue will be closed when you push the changes to your repo. For example, suppose you want to close issue
#2
which, hypothetically, suggested that you add a new line to the README, your commit message can say something likeAdd a new line to the README, closes #2
.Once you've closed all of the other issues, close this one as well, so that going into the presentation you have no open issues remaining.
Some minor issues:
Suggestions: Since your Q1 has two potential correlations to address, I suggest first looking at a
ggpairs
correlation matrix. This will inform you as to whether scoville score influences any of the variables in question. Your final plot as a scatterplot makes sense, but pick the specific relationship you want to test in Q1.The second question in Q2 doesn't really make sense to me as a correlation, I suggest checking it with the
ggpairs
plot I recommended above. Specifically - "Is there any correlation between the distributions and the length of the seasons?"