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In this course, you will :
- Learn the value of visualisations by graphically representing the spread of a variable using histograms and box plots on real-world data on British monarchs, Australian salaries, Panamanian animals, and US cigarette consumption.
- how to interpret data plots and comprehend fundamental data visualisation concepts like correlation, linear relationships, and log scales
- Learn how to use scatter plots and line plots to investigate the relationship between two continuous variables.
- Investigate information on life expectancy, technology adoption, COVID-19 coronavirus cases, and Swiss juvenile offenders.
- introduced to two other popular visualizations—bar plots and dot plots—that are frequently used to investigate the relationship between categorical and continuous variables
- Learn how to use colour and shape to make your data visualisations clearer and easier to understand, especially when working with more than two variables at once.
- Learn how to recognise and avoid the most common plot issues.
Syllabus :
- Visualizing distributions
- Visualizing two variables
- The color and the shape
- 99 problems but a plot ain't one of them
