Graphs & Charts
Last updated
Last updated
Graphs are great for condensing data points into a Visualization.
With TONalytica, you can create the following types of graphs:
Line charts are almost exclusively used to present changes in one or more metrics over time.
Bar charts can be used to present changes in metrics over time or to show proportionality, like a pie chart. Bar charts can be combined with Stacking with great effect. Horizontal bar charts are also supported.
Area charts are often used to show sales funnel changes through time. They are frequently combined with Stacking to grant a broader picture.
Pie charts are designed to show proportionality between metrics. They are not meant for conveying time series data.
Scatter charts excel at showing many groups of data points. Under the covers, Scatter plots are just like line plots, but without the connecting lines. A scatter graph is more precise but less useful for time series data.
Scatter plots are necessary for visualizations where some groups appear just once. The line chart does not display singleton values because it can only show data where two or more points are present. One option is to force singletons into scatter form on the Series tab of the Visualization Editor while keeping other traces in line form.
Bubble charts are scatter graphs where the size of each point marker reflects a relevant metric.
Heatmap visualizations blend features of bar charts, stacking, and bubble charts. There are several built-in color schemes to pick from. Heatmaps cannot be grouped since the entire chart is technically one trace.
Box plots can automatically show the distribution of data points across grouped categories. Horizontal box plots are also supported.
Title
The title will appear in all instances of this graph prominently at the top.
The graph will always keep the name of the Query, even if you edit this.
Show chart legend
Ticking this box will enable or disable the legend for the chart.
Enable stacking
If applicable, ticking this box will stack the chart values on top of each other based on the x-axis values.
If this is not turned on, the values will be plotted individually on the y-axis.
The calculation underpinning this will always group the value corresponding to one value on the x-axis. Make sure your data is clean in the table for this to work (avoid gaps in your data).
Normalize to percentage data
This will normalize the chart to display the percentage values of the chosen data table.
The calculation underpinning this will always group the value corresponding to one value on the x-axis. Make sure your data is clean in the table for this to work (avoid gaps in your data).
Show data labels
Ticking this box leads to the display of the individual data points inside the graph.
This only makes sense in cases where you have few data points that are spread out far enough from each other to not overlap.