Real Estate Data Analysis: Descriptive Statistics

This lecture covers the analysis of real estate data using descriptive statistics. Topics include frequency and mode, dispersion measures like quantiles and variance, graphical representation techniques such as histograms and scatter plots, correlation analysis, simple regression, and forecasting methods. The instructor explains how to interpret data on property prices, rental rates, housing characteristics, and economic indicators. Emphasis is placed on understanding the central tendency, variability, and relationships within real estate datasets.