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Read a date Explore Card and change its granularity

The transformation shortcuts need edit access to the View · Updated 8 Nov 2026

A date card shows a vertical bar chart, oldest period on the left. Each bar is a period, and its height shows how many rows fall in it; hover a bar for the exact period and value. Add one with Add card in the Explore panel; the shortcuts that change values need edit access to the View.

Date Explore Card for order_date with a column chart by month, the chart type and Count menus, and Earliest and Latest values below

Date card views, Earliest and Latest

ViewBest for
Columns (default)Trends and seasonality
TimelineThe same periods drawn as a line over time
ListReading exact counts per period. Sort by sorts by the measure or by period in date order

Below the chart, Earliest and Latest show the oldest and newest values with full date and time, for example 2024-01-02 12:00:00 and 2024-12-23 12:00:00. A future date in historical data, or a Latest value much older than expected, stands out here.

order_date card with the January 2026 bar hovered and a tooltip reading Count: 10, 83.3%, with the hint Click to select, drag across for a range Date card statistics showing Earliest 2024-01-02 12:00:00 and Latest 2024-12-23 12:00:00

Change a date card to day, month, year or hour

Mammoth picks the period from the earliest and latest values: Year if they fall in different calendar years, Month if they fall in different months of the same year, otherwise Day. Automatic selection only ever picks Day, Month or Year, even for data that spans a few hours. It is recalculated when a filter narrows the dates.

  1. Click the aggregation menu in the card header (it reads Count).
  2. Choose a Granularity.
  3. Click Apply.
GranularityExample labelsBest for
Day01-Aug-2024 (list) or 1, 2 (chart)Daily operations, short-term trends
MonthJan '24 (list) or Jan-2024 (chart)Seasonal patterns, monthly performance
Year2022, 2023, 2024Long-term trends, year-over-year
Hour01-Aug-2024 08:00 (list) or 8 am (chart)Intraday patterns, shift analysis
Minute01-Aug-2024 08:15 (list) or 8:15 am (chart)Process timing, high-frequency data
Second01-Aug-2024 08:15:00 (list) or 8:15:00 am (chart)Real-time monitoring, event logs

Changing granularity doesn't change your data.

order_date card Count menu open, with Show values by COUNT, a Granularity dropdown set to Month, and Cancel and Apply buttons

Date Explore card with its More options menu open: Add to dashboard…, Copy values to clipboard, Export list as CSV and Export Image as PNG

order_date card in list view with the Sort by menu open, showing a Count dropdown, a Descending dropdown, and Cancel and Apply buttons

Patterns and problems a date card reveals

PatternWhat you see
SeasonalityHoliday spikes in retail, new-year bumps in subscriptions, summer slowdowns in B2B
TrendsRising bars mean growth; falling bars mean decline
Operational rhythmsWeekday against weekend, month-end spikes, shift patterns
Missing periodsAbsent bars where daily data should appear every day point to a collection problem
Future datesA Latest value after today in historical data
Batch artifactsHeavy clustering on one date, such as 90% of rows on the last day of each month

Worked example: an orders card by month shows 500–700 orders a month from January to October, 2,400 in November and 3,100 in December. Double-click November and read the product category card to its right: "Gifts" dominates. For website visits over one week, switching to Hour shows peaks at 12:00–14:00 and 20:00–22:00 and a lull at 02:00–06:00.

Troubleshooting date cards

SymptomCauseFix
Date column appears as text, not a chartDates in mixed formats (for example MM/DD/YYYY and DD-MM-YYYY)Use Convert Column Type. See Work with dates
Seasonal pattern not visibleData covers less than one full cycle, or the granularity hides itCheck Earliest and Latest; a year is needed for annual seasonality; try another granularity
Earliest or Latest looks wrongBoth include the time part, or the data has future or impossible datesRead the full datetime; check for dates before the business or system existed
Chart changes period after filteringAutomatic granularity follows the rows currently countedSet the granularity you want and click Apply
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