When reviewing the results of your Watson Analytics project analysis, Watson Analytics can use many visualization methods to display the results of the analysis of the data you are interested in. It is imperative that you take the time to begin to understand and feel comfortable with the definitions of the visualization types as they apply to Watson Analytics.
The types currently supported by Watson Analytics include: bar chart, bubble plot, classification accuracy table, density plot, difference graph, heat map, histogram, marginal distribution visualization, packed bubble visualization, pie chart, prediction table, scatter plot, tree diagram and tree map – all of which are described very well in the Watson Analytics product documentation and is a good use of the readers time to review.
