Data Visualization Definition

Data Visualization Definition

Data Visualization is the graphical representation of information and data. The objective of Data Visualization is to communicate information visually to users. For this, data visualization uses statistical graphics. Numerical data may be encoded using dots, lines, or bars, to visually communicate a quantitative message.

General types of Data Visualization

·        Charts

·        Tables

·        Graphs

·        Maps

·        Infographics

·        Dashboards

Data visualization - Uses

·        Data Visualization help users to analyze and interpret the data easily.

·        It makes complex data understandable and usable.

·        Various Charts in Data Visualization helps to show relationship in the data for one or more variables.

Introduction to Matplotlib — Data Visualization in Python

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

Types of Visualizations in Matplotlib

There are many types of Visualizations under Matplotlib. Some of them are:

·        Line plot

·        Scatter plot

·        Histogram

·        Box plot

·        Bar chart and

·        Pie chart

Installing Matplotlib

You can install matplotlib using pip. Pip is a management software for installing python packages.