Employ data manipulation libraries like pandas in Python or dplyr in R to preprocess and clean large datasets before visualization. Consider using data streaming techniques for real-time data ...

Data visualization is the presentation of data in a graphical format such as a plot, graph, or map to make it easier for decision makers to see and understand trends, outliers, and patterns in data.

Pandas is a BSD-licensed open source library that provides high-performance, easy-to-use data structures and data analysis tools for Python. The R dataframe data structure has a close equivalent ...