Matplotlib Exercises

Collection of exercises using Matplotlib to visualize data in Python.

My Goal:

• Learn Matplotlib
• Practice converting numeric data into visualizations
• Build intuition for selecting appropriate plot types
• Create reproducible, well-documented examples

Each folder contains an exercise

Current Exercises

• basic-line-plot/

  • Line plot visualizing values over time
  • Includes plot titles, axis labels, and saved output

• multi-plot-customization/

  • Two line plots visualizing product sales over time
  • Includes plot titles, axis labels, saved output, and plot customization

• customized-labels/

  • Line plot visualizing student attendance over time
  • Includes customized axis labels, titles, saved output, and plot customization

• bar-chart/

  • Bar chart visualizing quantity of employees per department
  • Includes axis labels, titles, saved output, and plot customization

• pie-chart/

  • Pie chart visualizing monthly expenses
  • Includes labels, percentages, customized colors, and saved output

• scatter-plot/

  • Scatter plot visualizing the correlation between hours of sleep and levels of productivity between students and workers
  • Includes labels, customized colors, alpha, legend, and saved output

• histogram/

  • Three histogram exercises
  • delivery-time-distribution/
    • Histogram visualizing the frequency distribution of delivery time in minutes among a quantity of deliveries
  • login-duration-distribution/
    • Histogram visualizing the frequency distribution of login duration in minutes among a quantity of users
  • screen-time-distribution/
    • Histogram visualizing the frequency distribution of screen time hours among a quantity of users
  • Each histogram is analyzed for bulk concentration, mean vs median, and distribution direction.

• subplots/

  • One figure with four axes visualizing a student dashboard
  • Includes labels, titles, line plot, scatter plot, histogram, bar chart, and analysis of each subplot