Data Visulaization is an important part of data analysis. To visualize/plot data in python there are many libraries available but one of most commonly used package is Matplotlib. In this episode of learning you will be able to learn basics of Matplotlib, visualize data using the pyplot sub-package and plot the most commonly used graphs/charts.
We will be using Anaconda a data science platform for python.
It comes with a set of libraries, where matplotlib is already included so no need of separate installation. For programming jupyter notebook will be used.
Reference for matplotlib color options: https://matplotlib.org/examples/color...
Reference for different line styles and markers:
https://matplotlib.org/1.5.3/api/pypl...
Anaconda: https://www.anaconda.com/
Also look at my previous youtube videos, here's the link below:
Web Scraping tutorial using python
• Creating Dataset using Web scraping
NumPy Tutorial
• Data Science Essentials | NumPy Tutorial
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