📅 2023-05-02 — Session: Completed Data Visualization Exercises with Matplotlib
🕒 19:55–20:10
🏷️ Labels: Matplotlib, Python, Data Visualization, Bar Chart, Scatter Plot
📂 Project: Dev
Session Goal
The goal of this session was to explore and practice [[data visualization]] techniques using the Matplotlib library in Python.
Key Activities
- Created basic time series plots using mathematical functions such as sine, cosine, and exponential.
- Developed and customized bar charts based on a dataset of fruits.
- Explored the creation of scatter plots and the customization of these visualizations.
- Revised and corrected exercises involving bar charts, ensuring proper formatting and labeling.
- Conducted a series of exercises to create various types of data visualizations, including line graphs, scatter plots, stacked bar charts, pie charts, and histograms.
- Introduced additional libraries such as Seaborn and Plotly for enhanced [[data visualization]] techniques.
Achievements
- Successfully created and customized various types of data visualizations using Matplotlib.
- Gained a deeper understanding of how to use Python libraries for effective [[data visualization]].
Pending Tasks
- Further exploration and practice with Seaborn and Plotly for advanced visualization techniques.