Visualization

Create visual representations of your insights.

The insight editor not only allows you to analyze data in tables – you can also create charts and visual summaries of your results. This is helpful when you want to better understand trends, share insights with others, or create dashboards.

How to access the visualization tab

Once you've added the data you want to analyze:

1. Go to the top right area of the editor.

2. Click on the "Chart" tab (next to the "Data" tab).

This opens the visualization area where you can select a chart type and configure how your data is displayed.

What you need for a good chart

Before switching to the Chart tab, make sure your data is:

• Summarized or grouped (e.g., by country, date, or category)

• Clean (no duplicate labels or missing values in key fields)

• Meaningful (a small table with clear labels and values works best)

Good vs. bad data examples

Good example: summarized data

Country	Number of Customers
Germany	540
France	470
Italy	320

This is excellent for a pie chart or bar chart.

Bad example: raw data

Customer ID	Country	Age
C1	Germany	28
C2	France	33
C3	Italy	25

This is too detailed. Group it first (e.g., count of customers per country).

Chart types and their features

You can choose from several chart types in the editor:

Table Chart

Shows your data exactly as it is - in rows and columns. Useful when you want to display numbers clearly and precisely.

Pie Chart

Visualizes proportions - how each value compares to the whole. Best suited for showing distributions like market shares or regional breakdowns.

Line Chart

Shows trends over time (or over another sequence). You need a time-based or ordered category like "Year" or "Month".

Bar Chart (Columns)

Displays values side by side to enable easy comparison. Good for comparing categories like "cities" or "departments".

Single Number

Shows a single key value, like a sum or average. Ideal for dashboards and summary tiles.

Tips for better charts

• Keep your dataset small and focused — 5-10 rows are ideal.

• Use clear labels in your grouping columns (e.g., region names or years).

• Filter out noise before switching to the Chart tab.

• Experiment with different chart types — some work better than others depending on your data.