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  • How do I ...
    • How do I make a KM plot?
    • How do I compare tumor vs normal expression?
    • How do I remove null data (gray lines) from view?
    • How do I make subgroups?
    • How do I make more than 2 subgroups?
    • How do I make subgroups with geneA high and geneB high?
    • How do I compare gene expression between subgroups?
    • How do I compare gene expression between different cancer types?
    • How do I remove duplicate samples from a KM plot?
    • How do I view multiple types of cancer together?
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    • How do I view my data with the data from TCGA?
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  • Overview of features
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      • Coloring for Mutation Columns
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      • Supported search terms for finding samples
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On this page
  • Enter Chart View
  • Build a chart
  • After building a chart
  • Return to the Visual Spreadsheet

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  1. Overview of features

Chart & Statistics View

Last updated 1 month ago

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Chart View will generate bar plots, box plots, violin plots, scatter plots, and distribution graphs using any of the columns in a Visual Spreadsheet. Statistics, such as and , and will be calculated automatically.

Enter Chart View

To get to the chart view click on the icon indicated below by the red box or use the column menu and select 'Chart & Statistics'.

Build a chart

Once you enter Chart View, it will ask you a series of questions about what type of graph you are trying to make.

Compare subgroups will allow you to compare groups of patient's samples, either those that you have made or via a categorical feature, such as sample type. It will build the appropriate graph depending on whether you have selected a continuous numerical or categorical column. This option will let you make box plots, violin plots, bar charts, and dot plots.

See a distribution will let you see a histogram distribution of the data in a single column. You can view the mean, median, and various standard deviations on the distribution. The column can have sub-columns, either multiple probes or multiple genes, which will instead create a plot with multiple box plots.

Make a scatterplot will make a scatterplot from two continuous numerical columns. The second column can have multiple sub-columns, either multiple probes or multiple genes, which will create overlapping scatterplots

If an option is grayed out, this means that you do not have enough or the right type of data on the screen. Return to the Visual Spreadsheet and add more data.

After building a chart

If you are viewing a distribution of a continuous feature, such as gene expression for a single gene, you can add lines to the graph that indicate the mean/median or percentiles.

If you are viewing a scatterplot, you can color the points by a third column of data.

If you are viewing a dot plot, you can select if you would like to view the data as 'continuous value' where the size of the dot reflects the mean, same as the intensity of the color, or if you would like to view the data as 'single cell count data' where the size of the dot reflects the percent of cells/samples that have a non-zero value.

Advanced options available under the graph will allow you to change the scales of the axes.

We show statistics in the bottom right corner of the screen for most graphs. If we detect it will take some time run the statistics we may instead show a button with 'run stats', so that you can decide if you would like to run the statistical test.

Note that for violin plots, the width of each plot is does not relate to the number of samples in the plot.

Return to the Visual Spreadsheet

To return to the Visual Spreadsheet, click either the icon in the upper left, or the 'x' close button.

Welch's t-test,
Pearson's
Spearman's rank correlation
ANOVA
How to enter the Chart View