1Introduction to Bar Charts

Bar Plots are a convenient visualization tool for comparing several statistics at a glance, whether these derive from different gates, plots, data files, ratios, or complex statistical formulae.

2Introduction to Pie Charts

Pie Charts facilitate the visualization of relationships between statistics and how they combine to form a conceptual whole.

3Introduction to Scatter and Scatter with Regression Plots

Scatter plots facilitate the observation of relationships between two variables.  These variables may be native to the experiment (e.g., time and fluorescence .fcs file parameters), simple statistical tokens derived from different plots or populations, or complex statistical formulae defined in Custom Tokens.

4Introduction to Summary Charts

Summary Charts help visualize the central tendency of the data (e.g., Mean or Median), along with the distribution of the data, including outliers and single data points, if desired.

Summary Charts in FCS Express include Box and Whisker, Violin, Beeswarm, and Levey Jennings plots.

    • Box and Whisker Plots allow you to visualize the distribution of your data, where the lower quartile and upper quartile of your data set construct a mean or median bisected box (interquartile region), and the whiskers are defined by the minimum and maximum data points. 
    • Violin Plots display the probability density of the data at different values, usually smoothed by a kernel density estimator. Individual data points within each set may also be denoted by points, and the appearance of outliers can also be visually emphasized.
    • Beeswarm Plots display individual data points in a 1D scatter plot, with a logic ensuring that plotted points do not overlap.
    • Levey Jennings Plot allows you to visualize quality control data to ensure test metrics are stable over time and fall within a predetermined range. The range allows the test metric to be assessed based on whether the values fall within the range or outside of the range.