Overall a great report, interesting research questions, and clear logic. Good job, team bilby!
Some feedback shared with you guys:
Introduction and motivation
Good
Well-written introduction and motivation that provides the reader with a very detailed background to help understand the analysis.
Can be improved
1.There are some grammatical errors and some sentences are difficult to read and understand. The following picture shows some suggestions for improvements. (Other sections also have some grammatical problems, just take Introduction and motivation as an example.)
Recommendation: Use Grammarly for checking.
I'm not really sure what's the primary question?
Inline code
Good:
The numbers entered with inline R code, very good!
Visualize NA
Good
Use ·vis_dat` to show NA values distribution clearly.
The figure caption is very detailed, which is well done throughout the report.
Suggestion
Although the above visualization is better, I think it would be more meaningful to know the missing proportion of NA values. We can use vis_miss to get the plot below.
Data descprition
I'm not sure what this point(.) represents, maybe you guys missed the explanation?
Ref format
Good
Use inline reference in the whole report, very nice!
Can be improved
It would be better if they could be formatted in the same way. e.g. all Fig. XX or all Figure XX.
Figure 3.1
Good
The analysis discusses gender differences and data outliers around age 20.
Can be improved
The figure also shows a significant increase in the number of cases for age 40, which is not discussed in the analysis.
Tables
Table 3.1&3.2
Good
Use tables to present specific percentages so that the reader has a clear idea of the differences between males and females, and different age groups.
Can be improved
To combine the two tables into one, as shown in the figure below. You can use the datatable for interaction and resort the variables.
Table 3.4
Good
Very well formatted table.
Can be improved (Suggestion from ETC5521 teaching team)
It would be better if you could add proportional information.
Color for Figure 3.7
Good
The number of injuries for each park is sorted, and the plot looks good.
Can be improved
It is difficult to distinguish blue and green in the original plot. It is suggested to change the color palette and revise as follows:
Overall a great report, interesting research questions, and clear logic. Good job, team bilby!
Some feedback shared with you guys:
Introduction and motivation
Good Well-written introduction and motivation that provides the reader with a very detailed background to help understand the analysis.
Can be improved 1.There are some grammatical errors and some sentences are difficult to read and understand. The following picture shows some suggestions for improvements. (Other sections also have some grammatical problems, just take
Introduction and motivation
as an example.) Recommendation: Use Grammarly for checking.Inline code
Visualize NA
vis_miss
to get the plot below.Data descprition
I'm not sure what this point(
.
) represents, maybe you guys missed the explanation?Ref format
Fig. XX
or allFigure XX
.Figure 3.1
Tables
Table 3.1&3.2
Good Use tables to present specific percentages so that the reader has a clear idea of the differences between males and females, and different age groups.
Can be improved To combine the two tables into one, as shown in the figure below. You can use the
datatable
for interaction and resort the variables.Table 3.4
Color for Figure 3.7