Sometimes, data doesn't seem worthy if not presented in a way it should be. In this chapter, we have gone through two open source libraries to format your data in a more presentable way. The first library we explored was Matplotlib, which is based on Python. The object of this library is to create different types of charts with minimal coding. We started with the installation of Matplotlib and then moved on to some practical examples, where we created different types of charts. These charts included a line chart, bar chart, pie chart, and a scatter chart.
Then we extended our knowledge to the second library, named D3.js. It is based on JavaScript and is used to create different colorful and interactive data representations. It utilizes the power of DOM to increase performance and reuses the data to create different visual elements. We started with an introduction...
