Understanding the Leaderboard visualization

Use the Leaderboard visualization to rank metrics, track top performers, and analyze ordered data across metrics or dimensions for better insights.


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The Leaderboard visualization presents data in a structured grid layout, with an added ranking column in the first position to display the row number, making it easy to view and compare individual data points across multiple metrics and dimensions. This ranked format is especially effective for highlighting top performers or key values, allowing users to analyze performance, identify trends, and spot anomalies within their datasets. By organizing data into rows and columns, with a clear ranked order, the Leaderboard visualization supports in-depth analysis and enhances data-driven decision-making.

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Features

The following features highlight the key functionalities of the Leaderboard visualization:

  • A maximum of 30 columns can be displayed, each representing different metrics, dimensions, or granularities.
  • Each column can be customized with its own title, aggregation function (SUM, AVG, MED, MIN, MAX), and available comparison options.
  • Each row corresponds to a metric (if it lacks dimensions) or a dimension (for metrics that include dimensions).
  • The table can be sorted based on a specific column's value, the name of the metric or dimension, change value, or by manually rearranging the metrics in a custom order.
  • Row numbering is on by default but can be toggled off as needed.

Considerations

  • Up to 100 rows can be displayed, with the option to include a 16th "Other" row to group any remaining values.
  • All columns, except for the first, are required to display numerical data.

Use Cases

The Leaderboard visualization is particularly useful in scenarios that benefit from ranking or ordered data, including:

  • Sales Leaderboard: Display top-performing sales representatives ranked by revenue, conversions, or deal closures, helping identify leaders and drive competition.

  • Customer Support Metrics: Rank support agents based on response times, resolutions, or customer satisfaction scores, encouraging improved service and accountability.

  • Product Performance: Showcase top products by sales volume, revenue, or customer ratings, providing insight into best-sellers and trends.

  • Marketing Campaign Tracking: Rank campaigns by metrics such as engagement, click-through rates, or conversion rates, identifying the most effective campaigns.

  • Employee Recognition: Highlight employees with the highest performance scores, project contributions, or productivity metrics, promoting recognition and motivation.

  • Website Analytics: Rank pages or sections by traffic, time spent, or conversions, giving insight into popular content and user behavior.

  • Financial Analysis: Rank expenses, income sources, or departments by cost or revenue, providing a clear view of financial priorities and impact. 

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