tunghng / data-viz-proj

A repo for Data Visualization first project
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Peer review for proposal - [Group I] #2

Open vodiepnhu opened 4 months ago

vodiepnhu commented 4 months ago

Clarity of questions and plans Detailed trend analysis for individual companies: The strategy for addressing this inquiry is quite evident, delineating the process of data filtration, variable generation, and trend visualization. Nevertheless, a more elaborate explanation is needed regarding the specific methodology for choosing key event dates and historical market indices. What will be the criteria for selecting these events, and how will market indices be incorporated? It is essential to guarantee an unbiased selection process that encompasses a diverse range of events impacting stock prices.

Comparative growth analysis since a key historical event: The inquiry is significant and engaging, particularly given recent worldwide developments. Nevertheless, the proposal appears to be ambitious, especially in terms of standardizing stock prices and incorporating external data for context. Although the concept is solid, carrying it out may necessitate access to datasets that are not easily obtainable or simple to incorporate due to disparities in data formats or accessibility. It would be advantageous to delineate a more comprehensive plan for acquiring and integrating data.

Choice of plots Both inquiries refer to line graphs and indexed price comparisons, which are effective for illustrating stock price patterns and contrasts across time. Nonetheless, given the intricate nature of stock price assessment, the integration of candlestick charts could offer deeper insights into market sentiments, particularly for detailed trend examination. Additionally, employing scatter plots with regression lines may aid in depicting the connection between significant events and stock price fluctuations, providing a more nuanced perspective on how particular events influence stock prices.

Summary of data source The data source summary provides a comprehensive understanding of the dataset contents and its possible uses. Yet, it could benefit from specifying the timeframe of the data, essential for contextualizing the analyses. Additionally, highlighting the absence of Tesla and Meta during a certain period without clarifying its impact on the analyses may raise concerns about data comprehensiveness. Offering a brief explanation of how these gaps were managed or their potential influence on the results would enhance clarity.

Significance of questions/insights The questions raised are substantial and non-trivial, centering on the influence of worldwide events and extended trends on the stock prices of prominent tech firms. Yet, accounting for inflation, particularly in prolonged assessments, could enhance the depth of the observations, offering a more precise depiction of development and achievement across time. Moreover, investigating connections between stock performance and particular product introductions or significant upgrades could present more focused perspectives on the factors behind stock price fluctuations.

Ambition and feasibility The goals are ambitious, especially aiming to integrate external data for additional context. It is essential to evaluate the accessibility and suitability of this external data in advance to guarantee the feasibility of the goals. Moreover, considering the extensive dataset and the intricate aspects of analyzing stock prices, it would be wise to give priority to analyses depending on data and resource availability, to maintain a manageable scope.

tienvu95 commented 4 months ago

I think candle stick is a good suggestion, i also appreciate that you ask for the clarification regarding to the definition of key events and the normalization process

TraMiu commented 4 months ago

Thank you for your insights, we have make serveral updates to the proposal according to your comments

tranvu21 commented 4 months ago

Thank you for your review, we appreciate your comments. Here are some responses from our external research: