What is it: A way to break data down into categories. Each category is represented by a bar & the size of each bar compares a certain value.
How to use it: Add a column to the x-axis, typically a text column, to represent each bar. Then, choose a value to represent the height of the bars in the y-axis along with the appropriate operation.
What is it: A way to find relationships between two values. A data point is plotted for each x-axis and y-axis coordinate to find if the values are correlated.
How to use it: A numeric column will need to be added to both the x and y-axis. If one value typically precedes or predicts the other, place that value in the x-axis.
What is it: A way to track trends across time. A line connects data points plotted for each date running along the x-axis and its associated y-axis value.
How to use it: Ensure the appropriate date value is selected for the x-axis. Then, add a value to be measured along the y-axis for each date along with the appropriate operation.
What is it: A way to visualize distribution & discover hotspots. Colored squares fill a 2D grid & the intensity of each square’s color indicates how large the value is in that intersection of categories.
How to use it: Select a column for the y-axis and x-axis to create squares at the intersection of each. At this stage each square will represent the frequency of those axes coordinates, but can be represented by a metric if one is chosen as well.
What is it: A way to show how one value changes in response to another. A line connects data points plotted for each x-axis & associated y-axis value.
How to use it: A numeric column will need to be added to both the x and y-axis. If one value should precede or predict the other, place that value in the x-axis.
What is it: A way to visualize proportionality. A circular “pie” is cut into pieces where the size of each piece is equal to the portion of data it represents.