In this chapter, we have focused on the implementation of all the libraries discussed in previous chapters, which will help in evaluating the univariate dataset. The best demonstration of the univariate dataset was the loan eligibility parameter of the customer, which we implemented through various algorithms. We have listed some of the various packages that are available for reading, in various kinds of attributes, within the dataset mentioned in R. There are lots of different options, and even the options we have listed have a wide functionality that we are going to cover and use as we progress through the book. In this chapter, we understood the structure of the data after cleaning and tidying it up. We then covered various tests, such as the hypothesis test, the Tietjen-Moore test, and the parsimonious model. In the next chapter, we will introduce a time series dataset...
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You're reading from Hands-On Exploratory Data Analysis with R
Radhika Datar has more than 5 years' experience in software development and content writing. She is well versed in frameworks such as Python, PHP, and Java, and regularly provides training on them. She has been working with Educba and Eduonix as a training consultant since June 2016, while also working as a freelance academic writer in data science and data analytics. She obtained her master's degree from the Symbiosis Institute of Computer Studies and Research and her bachelor's degree from K. J. Somaiya College of Science and Commerce.
Read more about Radhika Datar
Harish Garg is a Principal Software Developer, author, and co-founder of a software development and training company, Bignumworks. Harish has more than 19 years of experience in a wide variety of technologies, including blockchain, data science and enterprise software. During this time, he has worked for companies such as McAfee, Intel, etc.
Read more about Harish Garg
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Radhika Datar has more than 5 years' experience in software development and content writing. She is well versed in frameworks such as Python, PHP, and Java, and regularly provides training on them. She has been working with Educba and Eduonix as a training consultant since June 2016, while also working as a freelance academic writer in data science and data analytics. She obtained her master's degree from the Symbiosis Institute of Computer Studies and Research and her bachelor's degree from K. J. Somaiya College of Science and Commerce.
Read more about Radhika Datar
Harish Garg is a Principal Software Developer, author, and co-founder of a software development and training company, Bignumworks. Harish has more than 19 years of experience in a wide variety of technologies, including blockchain, data science and enterprise software. During this time, he has worked for companies such as McAfee, Intel, etc.
Read more about Harish Garg