DATA VISUALIZATION USING MATPLOTLIB (PYTHON)

WHY DATA VISUALIZATION
Data visualization helps us to quickly interpret
data and adjust different variables to see their
effect.

Why data visualization
Human brain can process
information easily when it
is in pictorial or in
graphical form.

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.

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

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.

 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.

Gets started…
HERE’S SOME BASIC CODE TO GENERATE ONE OF THE MOST SIMPLEST GRAPH

Fits your brain (part II):
But I think this is the python

DATA VISUALIZATION USING MATPLOTLIB (PYTHON)

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