Prior To Beginning Work On This Discussion Forum Read 469430

Question

Prior To Beginning Work On This Discussion Forum Read Chapter 1 Of Yo Prior to beginning work on this discussion forum, read Chapter 1 of your textbook. On the Internet, find the most recent quarterly sales, comparable sales, financial report, or any other data set for a corporation that you work at now or have worked in the past, or an organization you are familiar with. For example, view Walmart’s Financial Information: Annual Reports & Proxies (Links to an external site.) to find the comparable store sales for Walmart. Note: The Walmart Financial Information page is just an example. You will need to find your own company to research, searching for the most recent data. In your post, examine three different data points from the data set. Be sure to include the URL of the website you are considering. For the data points you selected, address each of the following: Indicate the name of the data for each data point and the information associated with the data. Copy and paste the three selected data points in your post. Explain whether the variable is cross-sectional or time series. Explain whether the type is quantitative or categorical. If quantitative, give the unit of measurement. What are the important factors in the dataset? How would you plan to handle the missing data if there are some in the report? Explain the value of the data. Who might find this useful? Why? Guided Response: Your initial response should be a minimum of 300 words in length. Respond to at least two of your classmates by commenting on their posts. Do you see any additional value in their data?

Dr. Jack HW Helper · Accepted Answer

The assignment requires selecting a recent dataset related to a corporation’s financial performance, such as quarterly sales or comparable sales figures, and analyzing three specific data points. The goal is to interpret these data points in terms of their nature—whether they are cross-sectional or time series, and whether they are quantitative or categorical. Additionally, understanding the units of measurement, significant factors, and potential handling of missing data is crucial. The analysis should also explore the practical value of the data for various stakeholders and conclude with reflections on its usefulness, followed by engaging responses to peers' posts. To exemplify, consider Amazon’s recent quarterly sales report. I selected three data points from Amazon’s latest financial report available on their investor relations website (https://ir.aboutamazon.com/). The first data point is the "Net Sales," which amounts to $120 billion for the quarter. This represents the total revenue generated during this period, and it is a quantitative variable measured in billions of USD. This figure is a time series data point as it reflects performance over a specific reporting period. It is crucial for assessing growth trends over successive quarters. The second data point is "Number of Prime Members," which stands at 200 million. This is a categorical variable in the sense that it classifies users into members and non-members, but typically, the count can be considered as quantitative if viewed numerically. It is cross-sectional data because it represents a snapshot at the end of the report period. The third data point is "Operating Income," which stands at $6 billion, also measured in USD, and constitutes a time series variable capturing profitability over the reporting period. The important factors in this dataset include accurate calculation, data freshness, and completeness. Missing data, if encountered, could be handled through techniques such as imputation or excl

Prior To Beginning Work On This Discussion Forum Read Chapter 1 Of Yo

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