## Step 1: Set up your data table and enter data

You can enter column headings for the data table by clicking on each field in the column heading and typing values:

**Column name**: text name for the quantity in this column**units**: the units of measurement for this quantity if the column is a number**variable**: an abbreviated name for the quantity, such asfor time, or*t*for temperature.*T*

Click the three dot menu on a row or column to see what options you have:

**Column Settings**lets you configure how data is displayed, such as numerical or text, how many significant figures, scientific notation etc. (more: using a column for text, formatting numerical columns)**Change Column Formula**lets you use a formula to calculate values for this column. more...**Insert Column Right**,**Insert Column Left**, or**Remove Column**

To clear data from your data table, click the gear icon in the top-left corner of the table. *Note that this option will NOT appear to an instructor doing an assignment in *Preview* mode. It will only appear to students working on the assignment.*

## Step 2: Add more columns, and create columns with formulas

If needed, you can add additional columns, or add formulas to columns to do calculations on your data. (Read more on using formulas in columns.)

## Step 3: Create your Graph

Once you've got your data collected you can set up your graph:

You can plot multiple columns on the Y axis. When you click on the Vertical Axis to configure it, you'd get an option to "Add Columns" and can then choose up to 5 columns.

## Step 4: Apply a Curve Fit

If you want to see if your data follows a mathematical pattern, you can use a curve fit:

In the previous version of the graphing tool there was a button for ** linear regression**. That has been replaced by the following steps:

click the cog at the upper right of the graph

select

*Curve Fit*choose

*Linear*click

*Done*The equation for the line will appear below the graph with curve fit parameters A and B

"A" represents the slope of the line.

"B" represents the y-intercept of the line

RMSE stands for Root Mean Squared Error and it tells you how closely the fit matches the data. A lower RMSE generally means a closer fit.

To display uncertainty with the fit, check the

*Display Curve Fit Uncertainty*box.

You can click on data points on the graph to include/exclude them from the curve fit calculations.

Lastly, here are instructions on converting a position vs time graph to a velocity vs time graph

As a student, your data always saves as you go so you can return to your work later to continue or revise.