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Exploratory Data Analysis Aneesh Agrawal CS 448B: Visualization Fall 20181A2: Exploratory Data Analysis Use Tableau to formulate & answer questions First stepsister 1: Pick a domain Step 2: Pose questions
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How to fill out exploratory data analysis
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To fill out exploratory data analysis, follow these steps:
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Start by collecting the relevant data for your analysis. This could include any relevant information or variables that you want to explore.
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Clean and preprocess the data to ensure it is in a suitable format. This may involve removing missing values, handling outliers, or transforming variables if necessary.
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Visualize the data using different graphical techniques. This can include scatter plots, histograms, box plots, or any other visualization that helps you understand the data distribution.
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Calculate and interpret summary statistics such as mean, median, standard deviation, or correlation coefficients. These measures can provide insights into the central tendency and variability of the data.
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Identify and handle any anomalies or outliers in the data. These values may have a significant impact on the analysis results and should be carefully examined.
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Conduct hypothesis testing or statistical techniques to evaluate relationships or patterns in the data. This can include t-tests, ANOVA, or regression analysis.
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Draw conclusions and make inferences based on the results of your analysis. Communicate your findings effectively to stakeholders or decision-makers.
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