Data Visualization using Python Programming
ICSE · Class 11 · Artificial Intelligence
Complete topic list for Data Visualization using Python Programming in ICSE Class 11 Artificial Intelligence. Key concepts, sub-topics, and what to focus on for board exams.
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Topics in Data Visualization using Python Programming
1. Meaning and Purpose of Data Visualization
- Data visualization refers to the process of representing data in a graphical or pictorial format.
- Its main goal is to distill large datasets into visual graphics to allow for easy understanding of complex relationships within the data.
- Data visualization helps reveal trends, outliers, and relationships hidden in raw data.
2. Data Visualization Tools
- Datawrapper is ideal for creating charts and maps for embedding in online content like news articles or blog posts.
- Datawrapper requires uploading data via a CSV file to plot charts.
- Microsoft Excel and Google Sheets provide basic charting functionalities.
3. Excel Features for Charts and Data Cleaning
- Charts in Excel can be created by selecting data and using the Insert tab.
- Recommended Charts helps choose a suitable chart type.
- Chart Design and Format tabs help customize charts.
4. Matplotlib: Basic Python Visualization Library
- Matplotlib is the foundational Python library for creating static, animated, and interactive visualizations.
- The matplotlib.pyplot module provides a MATLAB-like interface.
- Matplotlib features include Drawing, Customization, and Saving of plots.
Key Concepts
Central concept: Data visualization as graphical representation of data for understanding patterns, trends, outliers, and relationships
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