Interactive Line Graph

Please cite this tool as        Video instructions

This website allows you to create interactive line graphs in a few simple steps.

Enter your data manually or upload your data as a .csv file.

You can also upload an .xml file to view a previously created interactive line graph.

Click here to download an example file for an interactive line graph as used in peer reviewed paper describing this tool. Upload the example file into the tool to view the interactive line graph.

Click on "Graph”, then "Build” on the left side of the screen to create your interactive line graph.

View your interactive line graph. Use the options below the graph to customize axis labels, scales, etc.
If you would like to save a copy of particular graphs for print publication, select the options to display the graph that you want, enter a name in the "Save this graph as” function below the graph, then click save.
Use the "Download workset" option to download files for any graphs that you saved (for print publication), as well as the .csv and .xml files for the interactive graphic.
The .csv or .xml file can be included in the data supplement for your paper. The .csv file is "human readable" and contains your data (can be viewed/edited in Excel or any other spreadsheet software). The .xml file contains your data, as well as any changes that you made to the axis labels, scales, etc.
Readers can upload the .xml file into the website to view your interactive graphic.

The interactive line graph allows you to do four things:

The base graph shows the central tendency and variation in each group for each condition or time point. The user can adjust the graph to show the mean, mean and standard deviation, mean and 95% confidence interval for the population, median, median and interquartile range, or median and range. The variation around each line is shown as a semi-transparent shaded region, which allows users to easily assess the magnitude of the overlap between observations from different groups.
The line for each participant or sample in the dataset can be turned on or off individually, allowing the user to view any subset of individuals in the dataset. For example, the user could use this option to identify responders or non-responders, or to determine whether an individual who has high values at the first time point also has high values for the second and third time points.
Options allow the user to focus on a subset of groups, conditions or time points where important changes are occurring.
The “Difference plot” tab allows the user to quickly compare the magnitude and direction of changes across groups, as well as for different individuals within the same group.