Insight builder Chart Types

What are the chart types that can be created with the Insight Builder?

Chart Types

Donut Chart

Choose from our selection of Donut charts once you've picked your data source for your Insight! 

Each Donut chart features that iconic donut shape, along with a brief description to help you understand what data source will be showcased.

When to use a Donut chart

1. Visual Appeal: Donut charts can be more visually appealing than traditional pie charts, especially when used with multiple categories. 
2. Flexibility: Donut charts can be customised in various ways, adding values and labels. This flexibility allows you to create a chart that is tailored to your specific needs.
3. Comparison: Donut charts can be used to compare different data sets or categories. By comparing the relative sizes of the slices, you can easily see how the data points relate to each other.

Overall, donut charts are a versatile and effective tool for visualising data. By understanding the advantages of using donut charts, you can choose the best chart type for your specific needs.

Interpreting the Donut chart

To effectively interpret a donut chart, follow these steps:

1. Identify the Whole: Understand what the entire donut represents. This is typically the total amount or value being divided into categories.
2. Examine the Categories: Identify the different categories or groups represented by the slices. Each slice corresponds to a specific category.
3. Compare Slice Sizes: The relative sizes of the slices indicate the proportion of each category to the whole. A larger slice represents a higher proportion.
4. Look for Patterns: Analyse the data to identify any patterns, trends, or outliers. Are there any categories that are significantly larger or smaller than others?
   
   

Key Points to Remember:

• Percentages: The size of each slice can be represented as a percentage of the whole.
• Labels: Labels or legends can be used to identify the categories and their corresponding values.
• Colours: Different colours are used to distinguish between categories and make the chart more visually appealing.

By following these steps, you can effectively interpret a donut chart and gain valuable insights from the data it represents

Line Chart

Make a choice from the available Line Charts

A line chart is a graphical representation of data points connected by straight lines. It's often used to illustrate trends, patterns, and relationships over time or other continuous variables.

When to use a Line chart

• Visualising Trends: Line charts are excellent for showing how data changes over time. This makes it easy to identify trends, such as increases, decreases, or plateaus.
• Comparing Multiple Data Sets: You can plot multiple data sets on the same line chart to compare how they change over time. This is useful for identifying correlations or contrasting trends.
• Identifying Patterns: Line charts can help you spot patterns or anomalies in the data that might not be immediately apparent in a tabular report.
• Making Predictions: Based on the trends observed in a line chart, you can make predictions or forecasts about future data points.
• Simple to Understand: Line charts are relatively easy to understand, even for those without extensive data analysis experience.

Interpreting a Line chart

Understanding the Axes:

• X-axis: (horizontal axis) Represents the Independent value, normally the time/duration.
• Y-axis: (vertical axis) Represents the dependent variable, which is the value being measured in relation to the horizontal variable.

Analysing the Data Points:

• Location: Observe the position of each data point on the chart. This indicates the value of the dependent variable for a specific value of the independent variable.
• Trends: Look for overall trends in the data. Are the data points increasing, decreasing, or remaining relatively constant?
• Patterns: Identify any recurring patterns or cycles in the data.
• Anomalies: Notice any unusual data points that deviate significantly from the overall trend.

Interpreting the Slope:

• Positive slope: The line slants upward, indicating a positive correlation between the variables. As the independent variable increases, the dependent variable also increases.
• Negative slope: The line slants downward, indicating a negative correlation. As the independent variable increases, the dependent variable decreases.
• Zero slope: The line is horizontal, indicating no correlation between the variables.

Column & Bar Charts

Make a choice from the available Column & Bar charts

Column & Bar charts are a type of graph used to represent categorical data.

When to use a Column or Bar chart

• Easy to understand: Bar charts are simple to interpret, even for those without extensive data analysis experience.
• Effective for comparing categories: They are ideal for comparing the values of different categories or groups.
• Show magnitude: The length of the bars visually represents the magnitude of the data, making it easy to identify the highest or lowest values.
• Can be customised: You can customise the appearance of a bar chart by adding labels, titles and period.

Interpreting a Bar chart