This article describes the different data charts which are available in StriveCast Analytics.
In general, our platform differs between two data views. The overview page and the detailed data view.
The overview page gives you a first impression of how your stream is performing, and it also greets you with only the most crucial information.
If you want to dig deeper into the specifics of the collected data, you want to use the detailed data view. You can find the data view if you click on data in the main menu and select one of the presented metrics.
We make use of several kinds of graphs to visualize the data collected by the tracker:
Each graph type can interact differently. Notice that not all charts are getting plotted against the time. As a result of that, they cannot all be used to narrow down the selected time interval. Also, notice that not all of the dimensions are available for every metric if the outcome, for example, would not make any sense.
Line
The line chart consists of one or more data points connected by a line to enable a better visualization. You can always hover over a data point to get more specific information. This graph can be zoomed in to narrow down the selected time interval.
Multiline
The multiline chart consists of one or more data points connected by one or more lines to enable a better visualization. You can always hover over a data point to get more specific information. Notice that you can enable or disable particular lines of the chart to compare the values. This graph can also be zoomed in to narrow down the selected time interval.
List
Sometimes we just present data in the form of a sorted list if it makes sense. Values get sorted descending by their actual numeric value.
Pie
We use pie charts to represent data points and, more specifically, the amount of their appearance to enable you to quickly compare the parts which together build up a whole truth. Here you can also hover over the particular parts of the chart to separate them from the others and also get more detailed information.
Map
Locational data is visualized in the form of a map. Hover over a single point on the map to get more details about it.
