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 fundamentals4.7
(142)
- 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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Showing 3 of 50 reviews
Jordan F.
3
Reviewed on Feb 4, 2024
A little messy but still a good lesson overall.
Colin Reineberg
4
Reviewed on Dec 5, 2023
f
Riccardo Clavenna
4
Reviewed on Sep 6, 2023
Mostly good. Some more details on some function would be better for a complete beginner. e.g. import numpy as np, why is needed, what is it...
Recommended if you're interested in learning Python
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Embrace the fascination of Tech Skills! Our AI-assistant provides real-time feedback, personalized hints, and error explanations, empowering you to learn with confidence.
With Workspaces, you can create and share projects directly on our platform. We've prepared templates for your convenience
Take control of your career development and commence your path into mastering the latest technologies
Real-world projects elevate your portfolio, showcasing practical skills to impress potential employers
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