Custom charts give you the flexibility to explore your OneCliq data more deeply and highlight the insights that matter most. While standard charts in your report provide a great starting point, custom charts let you isolate, compare, and present data in ways that suit your specific needs.
Why Use Custom Charts?
You might want to create a custom chart when you want to:
Dig deeper into insights
Go beyond standard visualizations to uncover patterns, like how emotions differ across platforms or topics.Isolate subsets of data
Apply filters to focus on specific topics, emotions, platforms, or timeframes, so you can zero in and uncover deeper insightsTest hypotheses
For example, compare sentiment on TikTok versus Reddit to see how different audiences react.Validate trends
Double-check whether certain sentiments (like neutrality) actually reflect curiosity or information-sharing.
How to Create a Custom Chart
Follow these steps to build a custom chart, apply filters, and save it for later editing.
Add a new section
On the left side of your report, click the '+' button to add a new section, and select Create a Chart. Create a title for your new section and select Create.
Select a chart type
You can choose from three chart types:
Bar
Donut
Stacked Bar
Bar and Donut charts allow you to analyze one variable — either Topic, Emotion, or Sentiment. Stacked Bar charts require you to select two of these three options to compare (for example, Topic + Emotion).
Once you’ve made your selections, the chart will load for a few seconds before generating a base version. At the top of your new chart, you’ll see:
The chart name (click to rename it)
A Save button
An Exit button
Customize your chart
At the top of the chart, you’ll see buttons showing:
The selected chart type, and
Filter options
You can customize your chart further using the available filters for:
Topics
Sentiment
Emotions
Timeframe
Sources
Note: You can only use the data available in the original report. Timeframe and Source filters are limited to what’s included in that report- you can’t generate new data. By default, all filters start with everything selected.
Customizing your section
To add new charts to your section, move your section to a different spot in your report, or to delete your chart or section, select the dotted icon to the top left of your section.
Filter rules and logic
To make sure charts display correctly, there are some rules around how filters can be applied:
If Emotion is used in the chart settings, you must select at least two emotions in the Emotion filter.
You can remove a filter using the “x” button, or select a minimum of two filter labels before the Apply button becomes active.
Until one of these two actions is taken, the filter dropdown will remain open, and the Add Filter button will be disabled.
If you click Save Chart without completing your filters, those filters will not be applied.
If your chart is based on Emotion and you add a Topic or Sentiment filter, you must select at least one label in that filter.
For Stacked Bar charts (for example, Topic + Emotion), you must select at least:
2 Topics
2 Emotions
and if you add a Sentiment filter, at least 1 Sentiment label
These rules apply across all chart type and filter combinations.
Example workflows to try
Emotions by platform: Compare TikTok vs. Reddit to validate audience differences.
Topics × Emotions (stacked bar): Then filter to Last year and a single platform to see what drove negative emotion.
Best Practices for Creating Custom Charts
Here are a few tips to make your charts as effective as possible:
Start with a clear question
Make sure to follow query writing best practices to get the most accurate insights from your report.Filter strategically
Apply filters (topics, platforms, emotions, timeframes) to isolate the data you want, but remember you’re working with a subset, not the entire dataset.Name your charts descriptively
Include filters and focus areas in the title so it’s clear what’s being shown.Use the right chart type
Bar charts: simple comparisons.
Stacked bar charts: best for exploring multiple dimensions at once.
Donut charts: great for showing proportions.
Keep context in mind
A filtered chart reflects only the selected subset of data. Don’t generalize findings without considering the overall dataset.
Custom charts are more than just “extra visuals”, they’re a way to take ownership of your analysis. By isolating what matters, testing your assumptions, and presenting insights clearly, you can turn raw data into compelling stories.