This chapter will introduce a multi-factor dataset and explain how to use exploratory data analysis techniques to analyze this data. In previous chapters, we focused on univariate and multivariate datasets. Univariate and multivariate datasets represent two patterns to statistical analysis. Univariate analysis involves the analysis of a single variable, while multivariate analysis involves the analysis of two or more variables. Most multivariate analysis involves implementation of dependent variable and multiple independent variables. Multiple factor datasets simultaneously analyze several tables of variables to obtain results. In this chapter, we will first learn to read and tidy the data, after which we will learn to map and understand the underlying structure of the dataset and identify the important variables. We will then create a list of outliers or...
United States
Great Britain
India
Germany
France
Canada
Russia
Spain
Brazil
Australia
Singapore
Hungary
Ukraine
Luxembourg
Estonia
Lithuania
South Korea
Turkey
Switzerland
Colombia
Taiwan
Chile
Norway
Ecuador
Indonesia
New Zealand
Cyprus
Denmark
Finland
Poland
Malta
Czechia
Austria
Sweden
Italy
Egypt
Belgium
Portugal
Slovenia
Ireland
Romania
Greece
Argentina
Netherlands
Bulgaria
Latvia
South Africa
Malaysia
Japan
Slovakia
Philippines
Mexico
Thailand