The data library houses all of the data sets uploaded across your projects. It can be accessed from anywhere in the platform by clicking ‘Data Library’ on the top of your screen.

Each project has a dedicated folder and clicking into a folder will display all the data sets associated with the project.

From the Data Library, you can:

For a detailed explanation of each function including step-by-step guides, click through to the linked resources in each section below.

Create new projects

In addition to the Explore Dashboard, new projects can also be created directly from the Data Library by clicking 'New project' in the top right of the screen.

Learn more about creating projects from the Data Library.

Upload data

You can also upload data directly to the Data Library by clicking into the relevant project folder and clicking 'Upload'.

Read our guide to uploading data for full details on formatting data and getting it into the platform for analysis.

Split & combine data sets

Splitting data sets allows you to define rules based on which you want to subdivide a master data set into parts (e.g. breaking down a file of survey responses based on the location of respondents). Combining data sets allows you to unify data sets for use in a comparison (e.g. combining weekly data sets into a monthly file).

Read the step-by-step guide to splitting and combining data sets.

Compare groups of two or more data sets

When wanting to compare two or more data sets, we often recommend comparing each data set against all others in the group combined using NOT comparisons. This approach allows you to understand how each brand, product or audience group is different from and similar from the market or broader audience.

They are created by hovering over the single data set you want to isolate from the others and then clicking the two circles icon to compare against all others.

Learn more about comparing multiple data sets using NOT comparisons

Create & view heatmaps

Heatmaps are a tool for visualizing which pairs of data sets in a group are most and least different. The feature allows you to understand and comment on high-level trends in your data and prioritize comparisons to explore further.

They are created by selecting the applicable data sets and then clicking the heatmap icon from the bulk actions menu at the top of your data list.

Learn more about creating and interpreting heatmaps

Manage and organise your data

When hovering over a data set, you will be presented with several additional options, including:

  • Delete a data set

  • Move a data set to another folder

  • Edit (rename) a data set

  • View a summary of a data set’s details

Change the language of the analysis

You can change the output language from the data library, while you are uploading a new data set.

  1. In the Data Library, select the folder corresponding to your project

  2. Click on the ‘Upload’ button and select a relevant file type. Locate the correct file and drag and drop it into the upload screen or select it from the ‘Browse files’ option.

  3. The data language will be automatically set to 'English.' To change it, click on the arrow next to it and select the desired option from the drop-down menu.

Did this answer your question?