Data
Column Data
A chart for veritically aligning, comparing & ranking data
Why column charts?
Column charts are great for comparing data defined by a grouping categorical variable (ie. region, treatment, quarterly results, etc).
Column charts are popular because they are simple to produce and easy to understand.
Data entry
If you select to create a column chart a table is generated where each column defines a group and rows represent observations / samples within groups.
| Treatment A | Treatment B | Control |
|---|---|---|
| 80 | 120 | 41 |
| 60 | 95 | 20 |
| 70 | 142 |
Have unequal sample sizes? Simply leave cells blank and they will be ignored by Graphmatik.
When you're ready to plot, Graphmatik will automatically parse your data and calculate all necessary descriptive statistics when navigating over to the chart workspace.
Key features
- Each column defines a separate group
- If your data is not paired. You can enter your data in any order.
- If your data is paired (i.e. before and after treatment) the paired samples should be entered on the same row.
Types of column charts
Graphmatik allows you to create 5 subtypes of column charts. Select a plot to learn more.
Statistical analyses supported
- Descriptive statistics
- Independent samples t-test
- Dependant samples t-test
- One-way ANOVA