Box Plots & Scatter Plots
Use our box plots and scatter plots to quickly and easily see the relationship between any two variables or columns of data. Welch's t-test, Pearson's and Spearman's rank correlation help you determine if the trend you're seeing is significant.
Scatter plot of arm-level deletions in gliomas
Above you can see a scatter plot of Glioblastoma Multiforme (GBM) and Lower Grade Glioma (LGG) samples in TCGA. The x-axis shows copy number variation in chromosome 19q and the y-axis shows copy number variation in chromosome 1p. Samples are colored by primary disease. We can see here that there are a subset of samples in LGG that have a strong correlation between a deletion of chr19q and chr1p. GBM samples do not show this relationship.
Box plot of EGFR copy number in gliomas
Above you can see a box plot of EGFR copy number variation in Glioblastoma Multiforme (GBM) and Lower Grade Glioma (LGG) samples in TCGA. We can see that GBM samples tend to have amplification of EGFR and that this trend is significant (Welch's t-test, p<0.05).
Get started by going to our Visualization tab, following the wizard to enter your data of interest into the Visual spreadsheet, which is our default view. Once you have the data you're interested in, click the 'chart' button in the top left.