Visualization in Python with matplotlib
Visualization is one of the most common ways of representing data. By using different kinds of plots (like scatter-plot, histogram, bar charts, and so on) you can find some insights in your data, or approve/reject some assumption/hypothesis. In this course, you will be introduced to the matplotlib library, and learn how to build different charts.Course
Gain insight into a topic and learn the fundamentalsnew
- Acquire proficiency in representing data through various plots, such as line charts, bar charts, and scatter plots.
- Develop the ability to customize charts with legends, labels, titles and line styles.
- Understand how to layer multiple data series within a single plot for in-depth analysis.
- Explore techniques for effectively grouping and presenting data visually to convey information clearly.
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There are 6 modules in this course
Visualization is one of the most common ways of representing data. By using different kinds of plots (like scatter-plot, histogram, bar charts, and so on) you can find some insights in your data, or approve/reject some assumption/hypothesis. In this course, you will be introduced to the matplotlib library, and learn how to build different charts.- Creating an Empty PlotPreview
- Simple Line ChartPreview
- Create a Simple Line ChartPreview
- Adding One More LinePreview
- Add Data to the PlotPreview
- Adding Legend to a PlotPreview
- Add LegendPreview
- Plot Labels and TitlePreview
- Add Lables and TitlesPreview
- Changing Line StylePreview
- Customize Your Line ChartPreview
- Create a Complete Line ChartPreview
- The Simplest Scatter PlotPreview
- Create a Simple Scatter PlotPreview
- Setting Plot ParametersPreview
- Set Ticks and LimitsPreview
- CustomizationPreview
- Customize Your Scatter PlotPreview
- Grouping ObservationsPreview
- Group by RegionPreview
- Further GroupingPreview
- Group by Continuous VariablePreview
- Making Chart InformativePreview
- Add Information to the PlotPreview
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Recommended if you're interested in learning Python
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