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DATA 8 Spring 2018Lecture 12 Table ExamplesSlides created by John Dinero (denero@berkeley.edu) and ANI Adhara (adhikari@berkeley.edu)AnnouncementsCombining Table MethodsImportant Table Methods t.select(column,)
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Computational thinking refers to the process of approaching problems in a systematic way that can be solved using programming and algorithmic techniques. Inferential thinking involves drawing conclusions from data and making predictions based on statistical methods.
Individuals or organizations that engage in data analysis and need to report their findings based on computational and inferential methods are typically required to file.
To fill out computational and inferential thinking, one should gather relevant data, apply appropriate algorithms and statistical analyses, and document the findings clearly and accurately.
The purpose of computational and inferential thinking is to enhance understanding and decision-making by using systematic methods to analyze data and draw logical conclusions.
The information reported should include data sets used, computational methods applied, inferential techniques employed, results obtained, and any conclusions drawn from the analysis.
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