The rumen microbiome plays a key role in the production of methane, a critical greenhouse gas. Two graphical methods aiding visualization of the rumen microbiome are presented. Marker gene sequence data generated from 520 rumen samples from 260 sheep were used to estimate the relative abundance of bacteria. These were assigned to 54 bacterial taxa, which were then clustered into four groups of co-occurring taxa. Sheep were measured for methane emissions in closed circuit respiration chambers. Heatmaps and simplex plots were used to visualise the rumen data and their relationship to methane emissions from the sheep. The relationship of these dimensions to methane emission was not clear-cut, however, the simplex graphic suggests that a dual-clustering of low methane emitters occurs. The analysis indicates that the bacterial microbiome data set is broadly two-dimensional. This in turn creates the challenge - to relate this low dimensionality to rumen biology.