CIS 468 - Data Preprocessing and Exploratory Data Analysis - Visualizations of the Distribution of the Attributes - Computer Science Assignment Help

Assignment Task:

1) Exploratory data analysis with R: Choose a dataset with at least four attributes. There are a number of datasets available in the R datasets package: 

You are also welcome to use any dataset that you are interested in exploring. You can use the functions provided in the labs and the R Zone section of the textbook as a reference. Write a brief report showing your exploratory data analysis. The requirements for the report are as follows: 
• Write a description of the dataset 
• Calculate and describe descriptive statistics for the data including measures of central tendency, dispersion, and skewness (you can find these in the DM text). 
• Create and describe visualizations of the distribution of the attributes (histograms) 
• Create and describe visualizations that relationships between attributes (scatter plots) 
• Choose two methods for data preprocessing, implement them and write about the result. This could include rescaling numeric values using min-max rescaling or converting nominal attributes to dummy (numeric) attributes. If you are extra ambitious, you could find an attribute that is not normally distributed (skewed) and transform it to be normally distributed.

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