Data
Line Data
A chart for visualizing trends in data over time.
Why line charts?
Line charts are a staple for comparing data over time. They are good at showing trends in data represented by two variables.
- The x-axis represents a continuous variable and data points are connected in sequential order
- The y-axis or dependent variable on the other hand represents a numerical measure of interest
Line charts are popular because they are informative yet easy to understand.
Information density has pros and cons. Too many lines in a single chart can overwhelm viewers with excess information and introduce visual clutter.
Data entry
If you select to create a line chart a table will be automatically generated with an x axis column and grouping columns for the y-axis values.
Groups are divided into subcolumns where you can enter individual sample / replicate values.
| X-axis | Group A | Group A | Group A | Group B | Group B | Group B |
|---|---|---|---|---|---|---|
| 1 | 56 | 65 | 44 | 105 | 127 | 98 |
| 3 | 35 | 55 | 40 | 96 | 115 | 78 |
| 5 | 30 | 45 | 34 | 88 | 105 | 70 |
Only 1 x-axis value should be entered per row.
Have groups that do not share x-values? Simply leave the matching y-values blank and they will be ignored by Graphmatik.
The x-axis can accept dates or times in addition to numbers.
Key features
- You can plot numbers, dates or times on the x-axis and numerical values on the y-axis
- Subcolumns are for individual samples within groups and are used to calculate error values.
- Leave y-values blank if your groups do not share x-values
Types of line charts
You can create 3 types of line charts. Select a plot below to learn more.
Statistical analyses supported
- Descriptive statistics
- Multiple t-tests (coming soon)