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DATA VISUALIZATION USING MATPLOTLIB (PYTHON)

  1. WHY DATA VISUALIZATION Data visualization helps us to quickly interpret data and adjust different variables to see their effect.
  2. Why data visualization Human brain can process information easily when it is in pictorial or in graphical form.
  3. Python (programming language) Python is an interpreted, high-level and general-purpose programming language. Created by Guido van Rossum and first released in 1991 Python can be easy to pick up whether you're a first time programmer or you're experienced with other languages.
  4. Advantages of python  Versatile, Easy to Use and Fast to Develop  This language is an obvious choice for machine learning, data analysis and visualisation. AI-first companies should love it Has All the Libraries You Can Imagine Open Source with a Vibrant Community Great for Prototypes - You Can Do More with Less Code
  5. Python libraries  Numpy  Matplotlib  Pandas  Pillow  TensorFlow  Keras  Theano, etc. Commonly-used modules that contain source code for generic needs are called Libraries Library in python is a collection of various python packages. Conceptually there is no difference between package and Python library.
  6.  Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.  Matplotlib is a 2D plotting library that helps in visualizing figures.  Matplotlib is used in Python as it is robust, free and easy library for data visualization.
  7. Gets started… HERE’S SOME BASIC CODE TO GENERATE ONE OF THE MOST SIMPLEST GRAPH
  8. Bar graph
  9. Scatter plot
  10. histogram
  11. Pie chart
  12. Working with multiple plots
  13. Fits your brain (part II): But I think this is the python
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