Data Visualization with Python | 100% Correct Answers | Cognitive Class

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Data visualization is the graphical representation of data in order to interactively and efficiently convey insights to clients, customers, and stakeholders in general.

Matplotlib is the O.G. of Python data visualization libraries. Despite being over a decade old, it's still the most widely used library for plotting in the Python community. ... While matplotlib is good for getting a sense of the data, it's not very useful for creating publication-quality charts quickly and easily.

Most positions require a Bachelor's degree, though some companies, particularly in education, require you to have a Master's degree. Actual degrees are the usual ones considered useful for lower level data science jobs, including analytics-focused business degrees, computer science, and statistics.

The best data visualization tools include Google Charts, Tableau, Grafana, Chartist. js, FusionCharts, Datawrapper, Infogram, ChartBlocks, and D3. js. The best tools offer a variety of visualization styles, are easy to use, and can handle large data sets.

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