6-2 Report Findings on Data Analysis

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Southern New Hampshire University *

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350

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Information Systems

Date

Jan 9, 2024

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pdf

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6

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Jasmine Bowser MIS 350 6-2 Report 12/03/2023 6-2 Report: Findings on Data Analysis What was significant about the data? The information holds substantial relevance to numerous individuals, including entrepreneurs, shareholders, and clients. Each graph I transformed into a visual representation was meant to address a particular query. The capability to extract details from a spreadsheet and turn it into a visualization is what enabled the question's resolution. For instance, the question that was asked when creating my visualizations was, "Which platform has the most games?". By gathering data from the spreadsheet, refining it, and using Power BI for visualization creation, I could respond to the inquiry accurately. This demonstrates the importance of data for various people in diverse ways. Without data, it would be impossible to provide precise answers to the questions posed. What hypothesis can you make about the data set? By integrating all available information to answer specific questions, these visualizations can contribute to addressing a common major query. Based on all this data, one hypothesis question that I can ask is “Which gaming platform has been the most lucrat ive on the public market?.” To answer this question, further in -depth data mining can be executed to extend our research. Having accurate visualizations gives a business the ability to answer report related questions and have the visualization to back their answer up with an accurate source. What could be added to the data to increase its usefulness? To enhance the usefulness of this data, more color could be incorporated in my graphs and tables to distinguish between different gaming platforms. “Color selection in data visualization is not merely an aesthetic choice, it is a crucial tool to convey quantitative
Jasmine Bowser MIS 350 6-2 Report 12/03/2023 information. Properly selected colors convey the underlying data accurately, in contrast to many color schemes commonly used in visualization that distort relationships between data values” (Simmon, n.d.). Besides this aspect, I cannot identify any other improvements that could increase data usefulness. Conducting numerous visualizations has allowed me to reach the fundamental question and answer it confidently without a doubt. One thing that I have noticed with my data is that throughout all my visualization and the report questions to be answered, PS2 has consistently been the top contender in every issue investigated. By addressing specific questions related to key challenges in gaming and marketing, finding comprehensive and precise findings becomes much more feasible. Were there any anomalies? Upon examining all consolidated information, no irregularities or animalities were detected. “A data anomaly, also known as an outlier, is an observation or data point that deviates significantly from the norm, making it inconsistent with the rest of the dataset. Data anomalies can be either intentional or unintentional and may result from errors, noise, or merely unique occurrences” (Soloveichik, 2023). I am confident that further investigation into other issues may reveal certain anomalies. Anomalies might discourage people if they lack complete understanding of the data; therefore, presenting these visualizations in a more comprehensible manner assists those struggling to grasp the information.
Jasmine Bowser MIS 350 6-2 Report 12/03/2023 Visualizations (Power BI also submitted with visualizations) Platform vs. Critic score Genre vs. Critic Score Platform vs. Most games Game vs Critic score
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