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CS1100: Excel Lab 1 Filtering and Summarizing Data To complete this assignment you must submit an electronic copy to Blackboard by the due date. Use the data in the starter file. In this lab you are
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How to fill out filtering and summarizing data

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To fill out filtering and summarizing data, follow these steps:
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Identify the dataset or data source that you want to filter and summarize.
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Decide on the specific criteria or parameters that you want to use for filtering the data. This could be based on certain values, conditions, or ranges.
04
Use a filtering tool or function in your chosen software or programming language to apply the criteria to the dataset. This will help in reducing the dataset and isolating the relevant data that meets the criteria.
05
Once the data is filtered, decide on the type of summarization or aggregation you want to perform on the filtered data. This could include calculations such as count, sum, average, maximum, minimum, etc.
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Apply the summarization functions or tools to the filtered dataset to obtain the desired summarized or aggregated results.
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Verify the accuracy of the filtered and summarized data by cross-checking with the original dataset or source.
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Document the filtering and summarization process along with the criteria used for future reference or replication.

Who needs filtering and summarizing data?

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Filtering and summarizing data is needed by various individuals and organizations, including:
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- Data analysts and data scientists who want to extract relevant insights from large datasets.
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- Business professionals who need to analyze and present key metrics or statistics for decision-making.
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- Researchers and academics who need to summarize and analyze data for their studies and papers.
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- Software developers who are building applications or systems that require filtered and summarized data as inputs.
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- Government agencies and regulatory bodies who need to analyze and report on specific data subsets for compliance or policy purposes.
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- Financial analysts who want to analyze and summarize financial data for investment or forecasting purposes.
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- Marketing professionals who want to segment customer data and summarize key trends or patterns.
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- Any individual or organization that deals with large volumes of data and needs to extract meaningful information efficiently.
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Filtering and summarizing data is the process of sorting through data to identify and extract relevant information, and then presenting a concise summary of the key findings.
Any individual, organization, or entity that needs to analyze and present data in a clear and organized manner may be required to file filtering and summarizing data.
Filtering and summarizing data can be done using data analysis tools, spreadsheet software, or programming languages to apply filters, aggregate data, and create visualizations.
The purpose of filtering and summarizing data is to make complex datasets more manageable, understandable, and actionable by extracting essential insights and trends.
The specific information to be reported on filtering and summarizing data will depend on the nature of the data being analyzed and the objectives of the analysis.
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