Descriptive statistics

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Explores data visualization principles, including chart navigation, histograms, scatter plots, box plots, and color usage.

Explores techniques and applications of data visualization, emphasizing the importance of effective communication and unconventional examples.

Emphasizes the importance of data visualization techniques and practices for effective data analysis and communication.

Covers principles and techniques of data visualization, emphasizing storytelling, anomaly detection, and effective communication of results.

Covers the basics of creating and customizing charts in Excel.

Explores different types of graphs achievable with Matplotlib, showcasing a variety of visualization techniques.

Discusses data visualization techniques, emphasizing their applications and principles for effective communication of complex information.

Covers a wide range of topics in Matplotlib, including simple plots, subplots, and various types of charts.

Explores the process of creating impactful infographics to present data and complex problems effectively.

Covers the analysis of air pollution data, focusing on R basics, visualizing time series, and creating summaries of pollutant concentrations.