<aside> 💡 The Phoenix platform will make all the data you gather available in an editable dashboard, with any classifications you have added applied to it. Phoenix dashboards are built on Superset, a powerful, open-source data visualisation tool.

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Contents of this page:

Your dashboard

When you click on visualize in the Phoenix platform, you will be taken to your dashboard, which will initially show a few graphs, tables and filters that we think may be useful as you start to explore the data you have gathered (and maybe classified). For example, these graphs and tables may be useful as you experiment with your gathers, to see whether the data you have gathered is useful or whether you need to iterate before you invest any time in classification or analysis.

Your dashboard is automatically connected to the standard table we described in the gathered data output section of this manual. All of the data for all of your gathers is in one consolidated table, which is connected to this dashboard.

Editing your dashboard

You have complete control over your dashboard, meaning that you can edit or delete all the elements that are there, and add new ones. This includes adding / editing the tabs, headings, filters, graphs and tables.

Visualising conflict data is crucial for peacebuilders and mediators as it transforms complex information into understandable insights. Presenting data visually enables peacebuilders to identify patterns, trends, and connections that might be missed in raw data. There are many options available to you in the dahsboard, but here are some ideas to start off with:

• Tabs: Organise your dashboard into tabs that break down the different areas of analysis. For example, have a tab that focuses on accounts (who posts about what) and another tab that focuses on narratives (what people post about)
• Filters: Apply filters to your charts or tables to focus on specific data segments. For example, you can filter by date range, account type or by any of your classifications.
• Bar Charts: Useful for comparing quantities across different categories. For example, visualize the volume of posts by different classes.
• Pie Charts: Show proportions and percentages within a whole. For example, visualize the volume of posts by different types of accounts.
• Line Charts: Ideal for showing trends over time. For example, track the frequency of specific classes of posts over a selected period.
• Scatter Plots: Highlight relationships between two variables. For example, examine the correlation between the number of posts and the level of engagement (likes, shares, comments).
• Heat Maps: Provide a visual representation of data density or intensity in a cross-reference. For example, create a heatmap of post class against comment class, visualising the density of certain comments in certain posts.

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We will be adding network graphs and word analysis in 2025.

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Sharing charts from your dashboard

Once your dashboard is complete, you can share it with your team or partners by exporting individual charts as images or CSV files for use in reports and presentations.