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FAQs: Data Lab

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Data & Reporting

How far back does the data in Data Lab go for my site?

The data in Data Lab for your site extends back to February 2023.

How often does the data in Data Lab update?

Data in Data Lab is refreshed every 2 hours and has a latency of T-5 hours. This means that data for the current day in the local time zone will begin to appear around 5 AM local time. As a result, the previous day's data will not be complete until 5 AM the following day in the local time zone. It is recommended to run reports after 5 AM local time for the most complete results.

What time zone is used in Data Lab reports?

Your Data Lab reports will use the site-level timezone (set by your Account Owner on the Sites settings page) for each site.

Is there a Data Lab API?

Yes, the documentation for the Data Lab API is available here.

What is the maximum amount of data that can be exported?

  • CSV: 1 million rows
  • Excel: 1 million rows
  • PNG: No download limit
  • PDF:
    • General: No download limit
    • Tables and Pivot Tables: Maximum 1,000 rows per table

Queries & Workbooks

Is there a max number of saved queries/workbooks that can be saved in Data Lab?

There is no limitation on the number of saved queries or workbooks within Data Lab.

Can I share saved queries or workbooks with teammates?

Yes, users have the ability to share workbooks with their teammates via “workspaces.”

How do I duplicate a saved workbook?

The folder icon located in the bottom left corner of the application allows you to duplicate a workbook using the “save as” functionality.

Can I rename or delete saved queries and workbooks?

To rename items, select the folder icon located in the bottom left corner of the application and choose the "rename" option.

To delete items, select the folder icon located in the bottom left corner of the application and choose the "delete" option.

Filters & Dimensions

What filter types are available in Data Lab?

  • Data Lab offers the following filter types:
  • Include: Show only data matching specific values.
  • Exclude: Omit data matching specific values.
  • Range: Filter for data within a numerical range.
  • Date Range: Filter data within a specific time frame.
  • Text Match: Filter data that matches specific text patterns.
  • Boolean: Filter data based on true/false values.
  • Top N: Display the top N entries based on a metric.

Functionality & Features

Can clients customize the views by uploading font/colour palettes for their brands?

Yes, clients are able to customize the views by changing font and color palettes consistent with their brand guidelines.

Can I set up alerts in Data Lab?

Yes, users have the ability to set up an alert to “alert when” a metric meets a certain condition. However, it's crucial to remember that Data Lab does not operate in real time, so there might be a delay between when the condition is met and when the alert is generated.

Can I set up benchmarks in Data Lab?

Yes, benchmarks can be set up using the KPI chart

Is multi-site reporting supported by Data Lab? If yes, are there limits on the number of sites I can include in a query?

Yes, multi-site reporting is fully supported within Data Lab. There is no restriction on the number of sites you can incorporate into your analysis. However, it's important to remember that the processing and loading time of the application may increase as the size of your dataset grows. Therefore, for optimal performance, it is recommended to be mindful of the number of sites included in your multi-site reports, especially if you're working with particularly large datasets.

Access & Permissions

How do I grant a colleague access to Data Lab?

To grant users access to Data Lab, a Chartbeat Admin must navigate to the "Settings" section and then select "Users." Within the "Users" section, the Administrator can manage user permissions and grant Data Lab access to specific individuals. More info can also be found here.

Are there different permission levels within Data Lab?

Within Data Lab, there are two distinct permission levels to consider: Explorer and Viewer. These roles determine the extent to which a user can interact with and manipulate data within the platform.

  • Explorer: This permission level grants users the highest degree of flexibility and control. Explorers have the ability to not only view and analyze data but also to actively manipulate and customize templates. This means they can adjust existing templates or create new documents to suit their specific needs, allowing for a more personalized and in-depth data exploration experience.
  • Viewer: This permission level offers more limited capabilities compared to the Explorer role. Viewers can access and analyze data using existing templates and filters. They can apply predefined filters to narrow down their data set and focus on specific aspects of interest. Additionally, Viewers have the ability to export data in various formats, allowing them to share their findings or use the data in other applications. However, Viewers cannot modify or create templates, restricting their ability to customize the data analysis process.

Technical & Troubleshooting

Why am I seeing an error when I try to run a query?

If your query is processing an excessive amount of data, the system may time out and result in an error. If this occurs, please submit a support ticket.

What should I do if my data isn’t showing up?

If you're experiencing an issue where your data isn't appearing as expected, first check the filters, and if that doesn't resolve the problem, our support team is ready to assist you.

Troubleshooting

Review Filters and Settings: Double-check any filters or settings that might be applied to your data view to ensure they're not inadvertently hiding the data.

Contact Support

In your ticket, please provide as much detail as possible about the issue, including:

  • The specific data that's missing
  • The time period when you expect to see the data
  • Any relevant settings or filters that you've applied (e.g. host, publish date, etc)
  • Any error messages that you've encountered

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