Skip to content

Developed data visualization skills with Matplotlib, creating plots for pharmaceutical data analysis. Overcame Matplotlib challenges for more effective insights.

Notifications You must be signed in to change notification settings

ericfayhuynh/Python-Matplotlib

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 

Repository files navigation

Python-Matplotlib

Objective

The Module 5 Challenge aims to develop data visualization skills using Matplotlib by analyzing a dataset from pharmaceutical research. The goal is to create various visualizations to convey insights effectively.

Summary

In the Module 5 Challenge, as a beginner data analyst, I explored data visualization with Matplotlib using a real-world dataset from pharmaceutical research. I crafted different types of plots and graphs, including bar charts, pie charts, line plots, scatter plots, and box plots. While grappling with Matplotlib initially, I gained a better grasp of the library's nuances, leading to a smoother analysis process.

Tools/Libraries Used

  • Matplotlib
  • Pandas
  • Jupyter Notebook

About

Developed data visualization skills with Matplotlib, creating plots for pharmaceutical data analysis. Overcame Matplotlib challenges for more effective insights.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published