When you connect your data with Panobi and add a new metric, you get to choose how your data will be visualized.
Check out the available visualizations below, along with guidance on how to choose and what data formats are required for each one.
Time series ✨
The time series chart is the star of Panobi, as the only chart type that can be viewed on your timeline. If you haven’t experienced metrics on your timeline yet, let us share with you: it’s game-changing to see current experiments side-by-side with live data showing you how those experiments are impacting your top-line metrics.
Data format:
x-axis: one independent variable, must be date values
y-axis: one dependent variable, must be numeric data
Table
The table is the simplest chart format, displaying your columns of data as returned by your SQL query.
Data format:
No special formatting required; for a table, all you need are columns of data.
Line
The line chart allows you to track changes in one or more datasets. It’s good for simple comparisons of metrics, since you’ll see one or more lines indicating shifting dependent variable values that revolve around a shared independent variable.
Data format:
x-axis: one independent variable, any data type
y-axis (series): one or more dependent variables, must be numeric data
Area
The area chart also allows you to track changes in one or more datasets. It’s good for part-to-whole comparisons of metrics over time, since the graphical use of shaded, two-dimensional forms makes it easier to visualize the relationship between the metrics you’re comparing.
Data format:
x-axis: one independent variable, any data type
y-axis (series): one or more dependent variables, must be numeric data
Column
The column chart lets you compare multiple datasets with vertically-oriented columns. You can choose to show changes over time with one or more columns of data, or to show multiple columns at a fixed point in time, depending on what type of data you choose for your x-axis.
Data format:
x-axis: one independent variable, any data type
y-axis (series): one or more dependent variables, must be numeric data
Bar
The bar chart also lets you compare multiple datasets, but with horizontally-oriented bars. You can choose to show changes over time with one or more bars of data, or to show multiple bars at a fixed point in time, depending on what type of data you choose for your y-axis.
Data format:
x-axis (series): one or more dependent variables, must be numeric data
y-axis: one independent variable, any data type
Scatter
The scatter chart is an all-purpose option that shows the relationship between two variables, using points plotted on a graph.
Data format:
x-axis: one independent variable, any data type
y-axis (series): one or more dependent variables, must be numeric data
