Day 56 | Matplotlib Scatter Plots & Formatting | Python Data Science Tutorial

In this Data Science with Python tutorial, we learn Scatter Plots in Matplotlib and how to format them professionally. In this session, you will learn: Introduction to Scatter Plots plt.scatter() Markers and Marker Size Transparency using alpha Multiple Datasets X-axis and Y-axis Limits Custom Ticks Annotations using plt.annotate() Professional Chart Formatting Practical Scatter Plot Visualization We also work with practical Python examples to understand how scatter plots can be used to visualize relationships between numerical variables and identify patterns, trends, and outliers. Topics Covered: plt.scatter() | Markers | Marker Size | Alpha | Multiple Datasets | xlim() | ylim() | xticks() | yticks() | annotate() | Chart Formatting Recommended For: Beginners in Data Science, Python learners, aspiring Data Analysts, and anyone learning Matplotlib for data visualization.