Sentence examples for the plot above from inspiring English sources

The plot above, for instance, shows performance on what's known as a Stroop test, which asks subjects to parse the difference between incongruently labeled color/word pairs.

Each tweet is represented by a circle - coloring is the same as the plot above, so a tweet is orange and a re-tweet is blue - and a set of horizontal circles indicates multiple tweets by the author.

In the plot above, the data of residuals are plotted with the corresponding nitrogen treatment.

For the bottom-left plot (plot9), we use the same colormap as the plot above it - the rainbow map in plot5 - but invert the colormap.

The following plots show the model forecasts issued not only from the current month (as in the plot above), but also from the 21 months previous to this month.

The results are included in the plot above as dotted lines you can see that the numbers have changed slightly for transmission and loss, probably stemming from interference between light radiated directly from the source and light propagating around the waveguide.

In the plots above the blue, red, cyan, orange points correspond to ACIS-S, ACIS-I, HRC-I, and HRC-S, respectively.

The appropriate aperture correction for the plots above (measured with Megacam images) is about 1.7 (ratio of flux within a 20″ diameter aperture to the flux within a 1.5″ diameter aperture).

The plots above summarize the results from applying the regression analysis to the data at all heights.

This, together with the appearance of the plots above, strongly suggests that we should use both a seasonal and a nonseasonal difference.

The plots above show the measured decay rates relative to the standard model predictions, so that a value of 1 means agreement.