Pygal is an open-source python library for Data Visualization that creates highly interactive plots and their SVG images also.
Data visualization is a scientific method of finding out the patterns, anomalies, and outliers in the data. It is a method that is used to create the graphs and plots which helps in finding out the trend in the data because it makes data simpler in terms of understanding by the human brain and we identify trends with naked eyes.
Visual Analytics and Advanced Data Visualization - How CanvasJS help enterprises in creating custom Interactive and Analytical Dashboards for advanced visual analytics for data visualization
In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.
For Big Data Analytics, the challenges faced by businesses are unique and so will be the solution required to help access the full potential of Big Data.
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How to use graphs effectively while working on Analytical problems. Data visualization is the process of creating interactive visuals to understand trends, variations, and derive meaningful insights from the data. Data visualization is used mainly for data checking and cleaning, exploration and discovery, and communicating results to business stakeholders.