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Data Visualization with Python

Python provides a myriad of data visualization libraries that give you the flexibility to define every aspect of your visualization. It provides you the option of choosing between static images, which can be helpful for academic papers, and interactive visualizations that can help you delve deeper into your data.

Data Visualization with Python using Seaborn

Data Visualization with Python using Matplotlib

  • Pandas Scatter Plot: How to Make a Scatter Plot in Pandas
    In this tutorial, you’ll learn how to use Pandas to make a scatter plot. Under the hood, Pandas uses Matplotlib, which can make customizing your plot a familiar experience. Pandas allows you to customize your scatter plot by changing colors, adding titles, and more. In more recent versions, Pandas included the ability to use different backends for plotting data. In this tutorial, we’ll explore the default of Matplotlib, though most of the tutorial can extend to different backends. Being able to visualize your data easily is an important step in determining where to take your analysis. In many cases, looking… Read More »Pandas Scatter Plot: How to Make a Scatter Plot in Pandas
  • Plotting in Python with Matplotlib
    In this tutorial, you’ll learn how to get started with plotting in Python with the matplotlib library. You’ll learn how the matplotlib library works and gain an understanding of its “anatomy”. You’ll learn how to plot and customize some simple graphs and how to use the matplotlib library with Pandas. Finally, you’ll learn how to plot and discover different plot types. Making graphs, or plots, is an incredibly important skill in your data science journey. There’s a reason people say that a picture is worth a thousand words. Whether you’re using plotting as part of your exploratory data analysis or… Read More »Plotting in Python with Matplotlib
  • Matplotlib Scatter Charts – Learn all you need to know
    Learn how to create Matplotlib scatter charts, including how to customize colours, add titles, change transparency and size of markers.
  • Matplotlib Bar Charts – Learn all you need to know
    Learn how to create Matplotlib bar charts, including how to customize bar colours, add titles, stacked and double bar charts.
  • Matplotlib Line Charts – Learn all you need to know
    Learn how to make Matplotlib line charts, including how to add multiple lines, customize labels, add data labels, and add a legend.
  • Plotting a Histogram in Python with Matplotlib and Pandas
    Learn what histograms are and how to create them in Python with Matplotlib and Pandas.