DAT 640 Practical R Activity Three

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School

Southern New Hampshire University *

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Course

640

Subject

Business

Date

Jan 9, 2024

Type

docx

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Uploaded by ymedo521

DAT 640 Practical R Activity Three Selecting Visualizations Overview: Exploratory data analysis allows us to become familiar with the underlying data of interest. As we use these techniques, we learn about the characterizations, distributions, and quality of our data. And, as we continue to explore, an underlying narrative describing the story of this data begins to emerge. Instructions: Complete the lab activities below. Provide responses to the questions and screenshots when prompted. Please note: This assignment will be submitted and graded in Brightspace. Part 1. Complete the uCertify Lab 2.22.2 Creating a Histogram and Lab 2.22.3 Creating a Scatterplot. Take screenshots illustrating successful execution of the lab R commands. Part 2. Data Summary: Summarize your data through basic or detailed numeric summaries and through a characterization done by looking at any or all of the following:  Distribution  Skewness  Kurtosis  Missing values in data sets As part of your summary, describe how the statistics generated may be valuable in determining potential areas of investigation. Part 3. Visualizations: Choose two different visualizations using any of the methods learned in the uCertify labs or readings. You must provide screenshots of two visualizations of the data set you chose in Module Two. Part 4. Justification of Visualizations: In 1 to 2 paragraphs, justify the rationale for selecting one or more of these visualizations to tell a story. What aspects of the visualization are uniquely suited to this method?

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