Use Adjust's graph view to visualize how your KPIs and in-app events change over time. To switch to graph view, select Switch View (chart icon) in the top right above your Deliverables table.
Your graph view automatically displays:
- Install data from this month
- One data point for each day
- A linear y-axis
Here, you'll learn how to customize these settings, add or remove tracked sources from your graph, and view data for specific dates.
Your tracked sources appear on the left side of the graph. Hover over any source and select Add to chart (+ icon) to add its data to the graph. To remove a source, select Remove from chart (- icon).
Added sources appear as colored keys above your graph. Select or hover over any colored key to isolate that source in your graph.
Note: You can add up to 10 data sources to your graph.
When you hover over your graph, the specific date of your current position appears at the top. The colored keys above the date show the value for that point.
To customize this view, use the dropdown menus above your graph.
To change the time period shown in your graph (e.g., today, last week, all time, custom), select This month.
To change the KPI or custom event displayed in your graph, select Installs.
To change the time period represented by each data point on your graph (hours, days, weeks, or months), select Day.
For example, if you want to know how user activity changed throughout the day, select Hour. You'll see a data point for every hour of your selected timeframe. For a broader look, select Month to see a data point for every month of your selected timeframe.
In a linear graph, there's an equal amount of space between every data range on the y-axis. For example, the distance between 0 and 500 is the same as the distance between 500 and 1,000.
In a logarithmic graph, each data range on the y-axis takes up half as much space as the previous range. For example, the distance between 0 and 500 is twice as big as the distance between 500 and 1,000.
Your graph is automatically set to logarithmic.
Note: A logarithmic y-axis can make your lower and upper ranges seem closer than they really are. To fully understand your data, we recommend regularly switching between logarithmic and linear views.
Visit our Filter your data article for more information on filtering your deliverables view.