tunghng / data-viz-proj

A repo for Data Visualization first project
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Peer review for proposal - [Group H] #1

Open dangkh opened 5 months ago

dangkh commented 5 months ago

Feasibility of the Plan:

The plan presented is deemed feasible. It demonstrates a clear understanding of the objectives and outlines a practical approach towards achieving the project goals.

Quality of Instructions for Dataset Utilization:

The instructions provided for the dataset used in the project are commendable. They exhibit a good level of clarity and detail, facilitating a thorough understanding of how the dataset is applied within the context of the project.

Visualization Techniques and Chart Plotting:

Concerning the response to Question 1, it is noted that group B proposes utilizing charts to visualize trends. It is advisable for the group B to specify which types of charts would be most appropriate for illustrating these trends effectively. A detailed explanation of the selection rationale for these charts will enhance the academic rigor of the project. Regarding the response to Question 2, the recommendation to use a line chart for comparing the recovery and growth post-pandemic is critically assessed. The critique is based on the observation that line charts primarily depict trends over time rather than quantifying recovery in percentage terms. This may not fully address users' interest in understanding the magnitude of tech companies' recovery. Additionally, the potential for significant disparities in the valuation of different companies (e.g., one company valued at $100 and another at $10) could obscure trend visibility in a line chart. It is suggested that alternative visualization methods be considered to more accurately represent the data and facilitate clearer insights. Intrigue of the Questions: The questions formulated are intriguing. They are likely to stimulate interest and encourage deeper investigation into the subject matter.

tienvu95 commented 5 months ago

Suggestions on qn2 also makes sense. But I think in their introduction, they made a pretty obvious mistake on captioning their tables :D. You will see it right away if you check the originial dataset

TraMiu commented 5 months ago

Thank you for your team's review. It is very helpful. Regarding the issue of chart selection for question 1, our team think that we would use line charts as we can illustrate trends between different companies with different lines. This would be intuitive for comparison between companies' trends. Another option that we are considering is using the candle stick to illustrate long-term trends in the some significant individual companies as this kind of chart is commonly used in stock market.

For question 2, we agreeed that line chart may not be a good choice for plotting the recovery after COVID. After researching a little bit, we find this kind of chart (in the picture) may help capture the recovery percentage better for individual companies. Using this chart can also address the problem that the teaching team has mentioned in their review. ![Uploading 433564457_6802930539810746_2533655577230347166_n.png…]() For multiple companies, we are considering taking a price in a chosen day before the the COVID as the milestones (100%) and ploting lollipop or bar chart to see companies' recovery. About the disparities between companies, we think that this would not be the problem given that we use percentage.

TraMiu commented 5 months ago

@tienvu95 Sorry, can you explain more about the mistake of captioning the tables @@