◆ Using record lists
A record list presents a sorted list of the individual records in a dataset. You can use it to create visualizations such as record bar charts and small charts showing values over time called sparklines.
Watch below for a quick demo of a range of visual analysis features with record lists.
To aggregate data and measure trends over categorical features of a dataset, see using categorical charts.
Creating a record list / bar chart
- Learn how to quickly add a record list into the dashboard.
Adjusting record list visualizations
The charting and analysis configurations allow you to adjust view type, available columns & sizes, and color assignments.
Selecting record listing type: List / Grid
- Keshif provides two view types: List and Grid, to list the records.
Changing sorting in record list
- Learn how to change the sorting criteria in a record list.
Showing rankings in record lists
- Learn how to show or hide record list rankings.
Visualizing record groups by color in record lists
- Learn how to visualize records by groups.
Adjusting width of bar charts
Adjusting width of sorting value column
Adjusting width of record box (grid view)
Adjusting width of sparkline
Using Time-Series Data
Analyzing data over time in a record list
- Learn about analysis of data over time.
- A record list chart can be used with large datasets, as it optimizes the number of visible items within the view. New records are added gradually as the user scrolls in the list view. Other record charts, such as maps, scatter plots and time-series require a smaller data set size to use effectively since they utilize all data at once in a single view.