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Types of metrics

  1. Series Metrics: Data trends or comparisons, visualized as pie, bar, horizontal bar, line charts, or tables.
  2. Number Metrics: Single values with optional targets, shown as gauges or simple numbers.
  3. Comparison Metrics: Compare two numbers, highlighting improvements or decrements.

Series

Series metrics involve a sequence of data points collected over a period or categorically. This type allows for detailed analysis and visualization of trends, changes, and progressions in your data. For example, tracking monthly visitors over a year.

Bar chartBar Chart: Visualizes data points as vertical bars, useful for comparing categories.
Horizontal bar chartHorizontal Bar: Similar to the bar chart but with horizontal bars, ideal for long category names.
Pie chartPie Chart: Displays data as slices of a pie, showing relative proportions.
Line chartLine Chart: Plots data points on a line, best for showing trends over time.
Table chartTable: Lists data points systematically, suitable for detailed viewing.

Number

Number metrics represent a single, standalone data value. This type is ideal for key figures or summary statistics that need to be highlighted, such as total number of users, one-time sales figures, or overall engagement rates.

Number displayNumber: Shows a single value prominently, ideal for displaying essential figures like total users or one-time sales.
Gauge displayGauge: A semi-circular gauge that shows the value relative to a target value, perfect for giving a quick visual of performance against goals.

Comparison

Comparison metrics allow you to compare two or more data points against each other. This type is perfect for side-by-side evaluations, such as comparing revenues from different months or contrasting user engagement between various features or campaigns.

Comparison displayComparison: Displays a number with a percentage change below, ideal for showing improvements or declines over a period.
Bar comparison displayBar Comparison: Uses bars to compare different data points visually, making it easy to see which data point performs better.