📅 2023-05-02 — Session: Completed Data Visualization Exercises with Matplotlib
🕒 19:55–20:05
🏷️ Labels: Matplotlib, Python, Data Visualization, Graphs
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The goal of this session was to explore and execute various data visualization exercises using the Matplotlib library in Python.
Key Activities
- Created basic time series plots using mathematical functions like sine, cosine, and exponential.
- Developed and customized bar charts from a dataset of fruits, focusing on data import, plot creation, and customization.
- Followed structured guides to create bar and scatter plots, including data import and plot customization.
- Revised exercises to correct and enhance data visualization techniques, ensuring proper formatting and labeling.
- Explored a series of exercises for creating diverse data visualizations, such as line graphs, scatter plots, stacked bar charts, pie charts, and histograms, with detailed code examples.
Achievements
- Successfully executed multiple exercises, enhancing understanding of Matplotlib’s capabilities in data visualization.
- Clarified the process of creating and customizing various plot types in Python.
Pending Tasks
- Further exploration of data visualization using Seaborn and Plotly libraries as introduced in the exercises.