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Working with Visualisations

Visual storytelling is at the core of effective data communication. PlotsAlot automates chart creation while giving you fine-grained control over appearance and interactivity. This guide unpacks the full range of visual features so you can present insights with clarity.

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1. Requesting a Visualisation

In any chat, add cues such as “plot”, “chart”, “graph”, or describe the desired type:

• “Plot a line graph of daily active users over the past 30 days.”
• “Create a pie chart showing revenue share by product category.”

The assistant selects the most appropriate chart library behind the scenes and embeds the result directly in the chat.

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2. Understanding Visual Output

Each visual element arrives with:

• Interactive Chart – Hover, zoom, or isolate series.
• Download Button – Save as PNG for inclusion in reports.
• Source Details – A brief note identifies the underlying data table or file and any filters applied.

If the assistant produced supporting code (for example Python or SQL under the hood), a collapsible panel labeled View Code appears. Opening it reveals the logic used, promoting transparency and reproducibility.

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3. Refining the Chart

After seeing the first draft, you might want tweaks:

• Change the colour palette.
• Swap from bar to stacked bar.
• Add a moving average line.

Simply describe the change in plain language, e.g., “Use a pastel colour scheme” or “Stack the bars by region.” The assistant instantly regenerates the visual.

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4. Multi-Panel Dashboards

For broader storytelling, you can combine several visuals into a single dashboard.

1. Ask for your primary chart.
2. Follow up with “Add this as panel 1.”
3. Continue requesting additional visuals.
4. Finish by saying “Assemble a dashboard of all panels.”

The assistant produces a cohesive layout you can export or embed.

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5. Dataframes & Tables

When numeric tables tell a clearer story than charts, just say “show me the raw data” or “display as table.” You can:

• Sort by any column.
• Copy rows to the clipboard.
• Download as CSV for offline work.

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6. Advanced Techniques

• Anomaly Highlighting – Ask SlashML AI to mark outliers or sudden changes in red.
• Trend Forecasting – Request a forecast line for the next quarter based on historical trends.

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7. Sharing & Embedding

Every visual can be shared individually:

• Click Share to generate an image link.
• Embed in slides, documents, or dashboards by pasting the link.

For interactive embeds, the platform provides an iFrame link that preserves tooltip and zoom behaviour for viewers.

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8. Troubleshooting Visuals

Issue	Cause	Solution
Chart shows “No data”	Missing or filtered-out dataset	Check that your query returns rows.
Wrong chart type chosen	Ambiguous prompt	Specify the type explicitly (e.g., “scatter plot”).
Colours clash with brand	Default palette mismatch	Ask the assistant to apply custom colours or provide HEX codes.

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With visual mastery under your belt, explore how to integrate external analytics platforms in the next guide.