Python allows free creation of plots, unlike expensive, stagnant graphing calculators. Import NumPy and Matplotlib for basic linear and polynomial plots in Python. Seaborn lets you make statistical ...

Data visualization is a technique that allows data scientists to convert raw data into charts and plots that generate valuable insights. Charts reduce the complexity of the data and make it easier to ...

If there’s one thing that characterizes the Information Age that we find ourselves in today, it is streams of data. However, without proper ways to aggregate and transform this data into information, ...

Compound graphs, a frequently encountered type of data set, have a hierarchical tree structure with parent-child relations (‘inclusion’ relations) and non-hierarchical relations between leaf nodes ...

Visualizing time series data is often the first step in observing trends that can guide time series modeling and analysis. As time series data analysis becomes more essential in applications across ...

One of the most common clichés in the viz space is that “data visualizations are only as effective as the insights they reveal.” In this context, effectiveness is a function of careful planning. Any ...

Choosing the right way to visualize your data makes the difference between telling a clear, compelling story or creating cognitive overload. Here's how to pick. Data is best understood when presented ...

A new Visual Studio Code extension called Nogic sparked a wide-ranging Hacker News discussion, with commenters praising its ...