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CHAPTER 1 Exploring DataThe first rule of data analysis is: make a picture. The second rule of data analysis is: make a picture. The third rule of data analysis is: ___Def: A ___ displays the possible
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To fill out Making Sense of Data, follow these steps:
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Start by gathering the data that you want to analyze. This can include various types of data such as numerical data, text data, or categorical data.
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Clean and organize the data to ensure its quality and structure. This may involve removing any irrelevant or missing data points, addressing inconsistencies, and standardizing formats.
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Explore the data by conducting descriptive statistics, data visualizations, or other exploratory analysis techniques. This step helps you to get an initial understanding of the data and identify any patterns or trends.
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Perform advanced analysis techniques such as regression analysis, clustering, or predictive modeling, depending on the purpose of your analysis. These techniques can reveal deeper insights and help you make data-driven decisions.
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Interpret the results of your analysis and communicate them effectively to others. This can involve creating reports, visualizations, or presentations that clearly present the key findings and insights derived from the data.
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Continuously update and refine your analysis as new data becomes available or as you gain more insights. This iterative process helps you to gain a deeper understanding of the data and uncover further insights.
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Remember, making sense of data is an iterative and ongoing process that requires critical thinking, analytical skills, and domain knowledge.

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Making sense of data refers to the process of analyzing and interpreting data to extract meaningful insights and information.
Typically, organizations that collect and manage significant amounts of data, including businesses, researchers, and government entities, are required to file making sense of data.
To fill out making sense of data, gather all relevant data, analyze it using appropriate methodologies, summarize key findings, and report them in a clear and structured manner.
The purpose of making sense of data is to enable decision-making, identify trends, provide insights, and enhance understanding of complex information.
The report should include data summaries, key insights, methodologies used for analysis, and any relevant conclusions drawn from the data.
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