◆ Using interval charts: Histograms, Line-charts
Interval charts include histogram charts for numeric attributes and line-charts for attributes with a timestamp. These charts show data trends by aggregating data into bins (ranges of numbers or dates), and then visualizing the data in each bin using bar height or line position.
Numeric attributes describe some quantifiable observation for each records, such as the money value of each sale, or the number of participants in each event.
Timestamp attributes describe the observed time of each record, such as the date of a transaction, the birthday of an employee, or the start and end dates of projects.
Creating a histogram chart : aggregating numeric attributes
Creating a line chart : aggregating timestamp attributes
- Learn how to quickly create and add two types of interval charts, histograms and line charts, into your dashboard.
- Learn overview of common chart controls.
Selecting visible interval charts (Histograms, Line-Charts, Percentiles)
- You can control the visible interval chart types, among two types of visualizations:
- Histograms (numeric data) or Line-charts (timestamp data) — which are based on fixed-width binning along the value (horizontal) range.
- Percentile charts (for numeric data only) — which use bins that include 10% (percentile) of the data.
Filtering data
Filtering data using a numeric range
Filtering data using a time range
- Learn how to select a specific range to filter numeric or timestamp data.
Filtering missing data
- Learn how to filter out, or learn more about, missing data in a numeric or timestamp attribute.
Removing interval filters
- Learn how to remove range filters in an interval chart.
Adjusting interval chart visualizations
- Interval visualizations bin records into intervals and visualize the data in each bin using the bar height, or line position.
- You can adjust bin heights, ranges, zoom and measurement scales of interval charts to fully customize your visualizations.
Using percentile charts for numeric data
- Percentile charts provides an alternative compact look into the distribution of numeric data.