Univariate Analysis
Univariate analysis is the study of a single feature/variable. Here, we describe the data to help us get an overall view of how it is organized. For numeric features, such as age, duration, nr.employed (numeric features in the dataset) and many others, we look at summary statistics such as min, max, mean, standard deviation, and percentile distribution. These measures together help us understand the spread of the data. Similarly, for categorical features such as job, marital, and education, we need to study the distinct values in the feature and the frequency of these values. To accomplish this, we can implement a few analytical, visual, and statistical techniques. Let's take a look at the analytical and visual techniques for exploring numeric features.
Exploring Numeric/Continuous Features
If you explored the previous output snippet, you might have noted that we have a mix of numeric and categorical features in the dataset. Let's start by looking at the first feature in...
