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Data Analysis in specter

The data analysis page in specter allows you to evaluate and visualize project-related data.

Can-Su Hermann avatar
Written by Can-Su Hermann
Updated over 10 months ago

In this article, we will show you:

  • how to create analyses.

  • how to configure diagrams.

  • which filtering options are available.

  • Hhow to share your results with project participants.


Explanatory video

Video

Timestamps

0:00 – Opening the data analysis page

0:10 – Overview of the interface and analysis suggestions

0:35 – Creating a new analysis

1:35 – Explanation of graph metric settings

2:27 – Selecting chart types for visualization

3:45 – Explanation of available filters

4:45 – Focus on the quantity metric

5:17 – Focus on analyzing the number of sticky notes

6:30 – Creating a new table

6:55 – Naming and saving an analysis

7:38 – Sharing an analysis with project participants


Overview

With the data analysis feature, you can evaluate your project data using various chart types, create project-specific metrics, and identify patterns. You can customize charts and tables, apply filters, and share your analyses with team members.

Step-by-Step Guide

1. Open the data analysis page

You can find the data analysis page in the menu under Data Analysis. Here, you’ll see some pre-made templates and can also create your own analyses.

2. Create a new analysis

  • Click "Create New Analysis".

  • Select a metric (e.g., man-hours, material quantities, or number of sticky notes).

  • Choose how the data should be displayed on the X-axis (e.g., by floors or trades).

  • Select a chart type (bar chart, line chart, or pie chart).

3. Apply filters

  • Global filters: Affect all charts at once (e.g., timeframes or materials).

  • Chart-specific filters: Apply only to a single chart.

Example: If you select "Concrete" as a material, only the corresponding data will be displayed.

4. Tables for detailed analyses

In addition to charts, you can create a table where you can customize columns (e.g., quantities, costs, or times).

5. Save and share analyses

  • Save your analysis with a unique name.

  • Your saved analyses can be found at the bottom of the Data Analysis page.

  • Sharing: Copy the link and send it to project participants – they will see exactly the analysis you created.

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