Exploratory Data Analysis & Descriptive Statistics

Descriptive Statistics focuses on summarizing and organizing data to provide meaningful insights. It includes techniques for measuring central tendency (mean, median, mode) to determine the data's center, and dispersion measures like range, variance, and standard deviation to assess variability. Graphical representations such as histograms, bar charts, pie charts, and box plots help visualize data distribution and patterns. Descriptive statistics also involve analyzing data distribution through skewness and kurtosis to understand its shape. Additionally, it employs measures of position, such as percentiles and quartiles, to describe data in relative terms. These tools are foundational for data analysis, enabling clear communication of data trends and characteristics.