CodeStips

Data Visualization

Python Matplotlib Reference

Cheatsheets & Reference Guides

A guide to Matplotlib for Python data visualization, covering installation, key components, and daily techniques for creating plots and multi-panel figures.

Python Modules for Data Analysis

Functions & Modules in Python

Python offers essential modules and tools for efficient data analysis, including data cleaning, visualization, and modeling. Learn key libraries to master data processing and insights.

Python Modules for Machine Learning

Functions & Modules in Python

Explore essential Python libraries that power modern machine learning workflows, making it efficient and accessible for both beginners and experts.

Recap: Mastering Data Analysis & Visualization in Python

Data Analysis & Visualization

A guide to essential Python tools for data analysis and visualization, covering pandas for data manipulation and matplotlib/seaborn for charts, with best practices for efficient workflow.

Saving Plots with Matplotlib

Data Analysis & Visualization

Learn to save and customize Matplotlib plots for reports, sharing, and online use, from basic exports to advanced settings.

Sharing Visualizations Online

Data Analysis & Visualization

Learn how to share Python visualizations online using tools like web dashboards, embedding, and export options to showcase your work to a wider audience.

Trend Analysis Using Python

Data Analysis & Visualization

Python provides tools like Pandas, Matplotlib, and Seaborn for analyzing trends in sales, traffic, or stock data over time.

Using Subplots in Matplotlib

Data Analysis & Visualization

Learn how to use Matplotlib subplots to arrange multiple plots in a grid, making it easier to compare datasets and create more effective data visualizations in Python.

Why Data Analysis is Important

Data Analysis & Visualization

Data analysis turns overwhelming information into clear, actionable insights, making it a vital skill in today's world.