Summary: Basic and Specialized Visualization Tools
A pie chart is a circular statistical graphic, divided into segments, to illustrate numerical proportion.
The process of creating a pie chart involves importing Matplotlib to represent a large set of data over a period of time.
A box plot is a way of statistically representing given data distribution through five main dimensions.
The five main dimensions are minimum, first quartile, median, third quartile, and maximum.
You can create a box plot using Matplotlib.
A scatter plot displays values pertaining to typically two variables against each other.
The process of creating a scatter plot involves importing Matplotlib to visualize a large set of data.
Matplotlib is a versatile plotting library that offers a flexible interface for creating various types of plots.
Matplotlib’s Pyplot module offers a convenient way to create and customize plots quickly.
Data Storytelling is the ‘art of storytelling’ that involves creating a narrative around the data.
Data visualization is an important aspect of data storytelling and involves creating engaging visuals.
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