The world is full of data. From server logs to financial records, sensor telemetry to census statistics, there seems to be no end to the raw data that programmers are tasked to sift through and extract meaning from. In addition to this, nothing distills a set of raw data into meaningful information as effectively as a good chart or graph. While there are some great charting tools such as matplotlib available for Python, PyQt offers its own QtCharts library, which is a simple toolkit for constructing charts, graphs, and other data visualizations.
In this chapter, we're going to explore data visualization using QtCharts in the following topics:
- Making a simple chart
- Displaying real-time data
- Styling Qt charts
