STATISTICS AND QUANTITATIVE DATA ANALYSIS Theory, Exploration, and Implementation

Exploratory Data Analysis (EDA) is the initial step in the data analysis process, aimed at understanding data structure, detecting anomalies, and testing initial hypotheses (Shabbir et al., 2023). Before conducting the analysis, we must identify our primary object, namely the data.
1.1 Types of Data
Data can be defined as a collection of raw information or facts obtained from observations or specific sources. To facilitate analysis, data is classified into several main
categories:

Data can be classified based on several points of view, namely:Data Based on Nature
A. Quantitative Data
Quantitative datais data in the form of numberscan be obtained from a measurement. Quantitative data is divided into:
1. Discrete Data
Discrete datais numeric data that can only be represented by integers and cannot be divided into
smaller units.