Worldwide, people create over 2.5 quintillion bytes of data every day. Are you harvesting your share to ensure your business stays ahead of the game?

Sophisticated, up-to-the-minute data collection processes are an essential tool for every modern-day business. Yet, all that information is worthless unless you know how to make sense of it.

If you want to harness the power of all this data, you need to bridge the communication gap between man and machine.

Data visualization is the key to getting the most value out of your business data. Behind every data viz platform is a team of coders working to make that data come to life using various programming languages. Data visualization is the discipline of trying to understand data by placing it in a visual context so that patterns, trends and correlations that might not otherwise be detected can be exposed.

Data programming is the magic formula used to translate these reams of figures. The results are easy-to-understand graphic representations.

Python offers multiple great graphing libraries that come packed with lots of different features. No matter if you want to create interactive, live or highly customized plots python has an excellent library for you.

To get a little overview here are a few popular plotting libraries:

• Matplotlib: low level, provides lots of freedom

• Seaborn: high-level interface, great default styles

• Pandas Visualization: easy to use interface, built on Matplotlib

By leveraging these libraries we get a good overview about the data and help the audience get the better feel of it.