Data Visualization Techniques

Scaling helps make parallel coordinate plots more readable by putting data on a comparable scale.

In parallel coordinates, the term "scaling" refers to adjusting the visual space between the lines in a plot.

The "std" scaling option in parallel coordinates centers data by subtracting the mean and dividing by the standard deviation.

Brushing is a technique to dynamically emphasize particular parts of a plot.

Brushing can only be applied to line charts.

Brushing allows users to filter out unnecessary data to focus on specific areas of interest.

Interactivity is a key component in enhancing the usability of dense visualizations like parallel coordinate plots.

Over-cluttering in parallel coordinate plots can be mitigated by applying different colors to each data line.

A density plot shows the distribution of a continuous variable without dividing it into specific bins.

Density plots are an alternative to histograms for displaying the distribution of continuous data.