Bar Graph and Histogram are the two ways to display data in the form of a diagram.

Matplotlib installed using pip. Pip is a management software for installing python packages.

Box plot: The box plot is a standardized way of displaying the distribution of data based on the five number summary: minimum, first quartile, median, third quartile, and maximum.

Scatter plot: A scatter plot is a type of plot that shows the data as a collection of points. The position of a point depends on its two dimensional value, where each value is a position on either the horizontal or vertical dimension.

Matplotlib is the most popular data visualization library in Python. It allows to create charts in few lines of code.

Dashboard ￫ A dashboard is a collection of resources assembled to create a single unified visual display. Data visualizations and dashboards translate complex ideas and concepts into a simple visual format. Patterns and relationships that are undetectable in text are detectable at a glance using dashboard.

Infographics ￫ An infographic (information graphic) is the representation of information in a graphic format.

plt.plot ([I,2,3,4])	plt.pIot ([I,2,3,4], [1,4,9,16])
1. It refers y values as [1,2, 3,4]	1. It refers x and y values as ([1, 2, 3, 4], [1,4,9, 16])
2. Indirectly it refers x values as [0, 1, 2, 3] (0,1),(1,2), 2,3), (3,4)	2. Directly given in the function (1,1), (2,4), (3,9), (4,16)

We can install Matplotlib using Pip. Pip is a management software for installing Python packages.

(i) Line plot
(ii) Scatter plot
(iii) Histogram
(iv) Box plot
(v) Bar chart and
(vi) Pie chart

(i) Charts
(ii) Tables
(iii) Graphs
(iv) Maps
(v) Infographics
(vi) Dashboards

Data Visualization is the graphical representation of information and data. The objective of Data Visualization is to communicate information visually to users.