Visualizations

Life Tracker supports 13 visualization types, each suited for different kinds of data.

Cartesian Charts

These charts plot data over time with X and Y axes.

Line Chart

Best for: Tracking trends over time

Shows data points connected by lines
Ideal for continuous numeric data
Supports multiple datasets (overlays)
Good for: mood tracking, weight, temperature

Bar Chart

Best for: Comparing discrete values

Vertical bars for each time period
Good for counts and totals
Supports multiple datasets (overlays)
Good for: exercise duration, calories, steps

Area Chart

Best for: Showing volume over time

Filled area under the line
Emphasizes magnitude of change
Supports multiple datasets (overlays)
Good for: sleep hours, screen time, reading time

Scatter Chart

Best for: Showing distribution

Individual points without connections
Plotted against a real date axis, so points sit at their actual position in time and the tooltip shows the exact date
Good for sparse or irregular data
Shows data density patterns
Good for: irregular measurements, event occurrences

Bubble Chart

Best for: Multi-dimensional data

Points with variable size
Size represents a third dimension
Good for: data with magnitude variations
Hovering a bubble shows the value and the exact number of entries in that period

Chart tooltips show whole-number values without trailing decimals, so counts like habit completions read as 3 rather than 3.00.

Range Chart

Draws one floating bar per period, spanning from a start property’s value to an end property’s value — sleep from “To Bed” to “Wake Up”, work hours from “Start” to “End”, or any numeric spread.

Range charts combine two properties, so they are created as overlays: see Overlay Charts.
Values can be times of day (23:30), datetimes, or plain numbers. If any value is a time, the axis and tooltips read as clock times (HH:mm).
Spans that end “before” they start cross midnight and are drawn into the next day, so a 23:30 → 07:15 night renders as one continuous bar.

Circular Charts

These charts show proportions and distributions.

Colors match the heatmap: when the segments are numeric values (a 1-5 mood, a rating), pie, doughnut, and polar area charts color each segment with the same value → color scale a heatmap of that property uses — the view-wide heatmap color scheme, or the default derived from the property’s value direction — so the same value looks the same in both visualizations. Picking an explicit color scheme on the chart card overrides this, and non-numeric values (categories, tags) keep the regular chart palette.

Pie Chart

Best for: Part-to-whole relationships

Circular chart divided into slices
Shows percentage of total
Best with 2-6 categories
Good for: time allocation, category distribution

Doughnut Chart

Best for: Part-to-whole with emphasis

Pie chart with hollow center
Center can show total or label
More modern appearance
Good for: budget breakdown, task categories

Polar Area Chart

Best for: Comparing magnitudes

Like pie but segments have equal angles
Radius shows magnitude
Good for comparing values across categories
Good for: ratings, scores, performance metrics

Radar Chart

Best for: Multi-variable comparison

Spider/web chart pattern
Each axis represents a variable
Shows balance across dimensions
Good for: skill assessments, balanced scorecards

Specialized Visualizations

Heatmap

Best for: Daily patterns over time

GitHub-style contribution graph
Color intensity shows value magnitude
Shows gaps and streaks clearly
Good for: habit tracking, daily ratings, streaks

Color schemes: Green, Blue, Purple, Orange, Red, plus Viridis and Cividis — two colorblind-friendly gradients that also stay readable in grayscale.

Custom color mapping: for scales where each value means something specific (mood 1-5, energy levels, a rating), a single-hue gradient makes 2 and 3 nearly indistinguishable. Right-click the card, set Colors to Custom mapping…, and give each value its own color. A new mapping starts with values 1-5 on a colorblind-friendly ramp, so it is usable straight away. Values you have not mapped use the fallback color, and the legend lists one labelled swatch per entry instead of the “Less → More” ramp. The mapping belongs to that card, so two heatmaps of the same property can be colored differently.

Aggregation: when several notes fall in the same cell period, their values are combined by Average (default) or Sum. Use Sum for counter-style tracking like calories or sessions per day. Set it from the card’s right-click menu.

Streak stats: a compact row below the legend shows your current streak, best streak, and total active periods. A period counts toward a streak when it has a recorded value other than 0 (matching the heatmap rendering, where 0 on a 0-based scale shows as empty). The current streak still counts if today’s data isn’t captured yet. Toggle the row with the Show streak stats view option.

Best for: Text/tag frequency

Words sized by frequency
Shows most common values
Great for tags and categories
Good for: tags, activities, locations

Timeline

Best for: Event sequences

Events plotted on a time axis
Shows when things happened
Good for sparse events
Good for: milestones, achievements, events

Progress Ring

Best for: Goals you either hit or miss

Circular progress toward a target for the period you are currently in
Colors follow the goal’s direction: a “reach it” goal runs red → yellow → green as the ring fills, a “stay under” budget runs green → yellow → red
The hit rate and your current/best streak sit below the ring, with a strip of bars for the last 26 periods
Good for: “3 days a week”, “150 reps a week”, “10 000 steps a day”, “at most 80 kg”

A progress ring needs a target — see Goals and Targets below. Until one is set, the card shows a prompt instead of a chart.

List Property Support

For properties containing arrays/lists (like tags):

Circular charts (Pie, Doughnut, Polar Area):

Count occurrences of each unique value
Show distribution across all entries

Cartesian charts (Line, Bar, Area, Radar):

Create one dataset per unique value
Show 0/1 presence per time period
Legend identifies each value

X-Axis Source

Line, bar, and area charts normally group entries into time periods. The X-axis option in the card’s right-click menu offers an alternative:

Date (default): group entries by period via the date anchor.
Note name: one point per note, labeled with the note’s name, in the Base view’s own sort order — sort the view to arrange the axis. Entries don’t need a date, which makes this ideal for Bases whose notes aren’t date-shaped (books with ratings, projects with scores, people).

On the note-name axis there is no time grouping, so the Aggregation setting does not apply; the moving average, running total, and trend indicator operate over notes instead of periods. List-valued properties keep the date axis.

Scale Configuration

For numeric visualizations, configure the Y-axis scale:

Preset	Range	Use Case
Auto	Dynamic	Let the chart determine
0-1	0 to 1	Percentages, ratios
0-5	0 to 5	5-point scales
1-5	1 to 5	Rating scales (no zero)
0-10	0 to 10	10-point scales
1-10	1 to 10	Rating scales (no zero)
0-100	0 to 100	Percentages, large ranges

Color Schemes

Available for all chart types (except Tag Cloud):

Green: Default, nature-inspired
Blue: Cool, calming
Purple: Creative, premium
Orange: Warm, energetic
Red: Bold, attention-grabbing
Colorblind-friendly: eight colors chosen to stay distinguishable with any common form of color vision deficiency — use it whenever a chart shows several series at once, since the other schemes vary only in lightness

Heatmaps have their own list instead: the five schemes above plus Viridis and Cividis (both colorblind-friendly), and Custom mapping… for exact value-to-color control. See Heatmap.

Reference Lines

For cartesian charts only (Line, Bar, Area):

Add horizontal lines at threshold values
Useful for limits and milestones
Custom labels (defaults to “Reference: {value}”)
Color matches the dataset
Drawn together with the goal target’s line when both are configured: the target uses a tighter dash and anchors its label at the left edge, the reference line at the right

Example uses:

Weight goal line
Minimum sleep target
Exercise duration target

Goals and Targets

Set a goal on any card through the right-click menu → Configure target. A target reads as one sentence:

<measure> per <period> must be <at least / at most> <value>

Measure	Meaning	Example goal
Entries with a value	Days you actually did it	“Push-ups on 3 days a week”
Total of the values	Volume added up	“150 squats a week”
Average of the values	Mean over the period	“Average mood of at least 7”
Most recent value	The last reading	“At most 80 kg”

Days logged as 0 do not count toward “entries with a value” — writing push_ups: 0 records that you did not do it, so a “3 days a week” goal is not satisfied by logging zeros every day.

Targets belong to a visualization, not to a property, so one property can carry two goals side by side: a consistency ring (days a week) and a volume ring (reps a week). The goal appears in the card title so the two stay distinguishable.

Supported by the progress ring and by Line, Bar and Area charts, which draw the target as a horizontal reference line. An explicitly configured reference line takes precedence over the target’s.

Colors

The ring colors itself from the goal’s direction, so filling it always reads the right way round:

Goal	Empty ring	Approaching	At the target
At least (reach it)	Red	Yellow	Green
At most (stay under)	Green	Yellow	Red once exceeded

The yellow warning band needs a meaningful zero to measure against, so it only applies to “entries with a value” and “total of the values”. A weight of 79 against an 80 kg ceiling is not “99% of a budget” — that scale does not start at zero — so “average” and “most recent value” goals are simply met or missed.

If you have set a property’s value direction in the plugin settings (higher is better / lower is better), it preselects the matching goal direction when you create a target, and warns you if you pick the opposite. It does not override the colors: the direction you chose is the explicit statement of what you want, and most properties carry no value direction at all.

Periods with nothing recorded

For “entries with a value” and “total of the values”, an empty period is a real zero: doing nothing all week genuinely is 0 days and 0 reps, and the ring turns red.

For “average” and “most recent value” it is unknown instead. A week you forgot to weigh yourself shows a grey ring and a dash — not a weight of 0 kg, which would otherwise satisfy an “at most 80 kg” goal every time you skipped the scale. Those periods are left out of the hit rate as well.

Personal Records

Properties with a polarity (see value polarity in Configuration) show their personal best: a “🏆 Record: value (date)” chip below single-dataset line, bar, and area charts, and in the heatmap’s streak row.

Higher is better records the maximum; lower is better the minimum.
Neutral properties show nothing — without a direction there is no “best”.
The record reads raw entry values, not period aggregates: “longest meditation: 30 min” is a single session, not a daily average.
When new data beats the record displayed earlier in the session, a “🏆 New record!” notice celebrates it.

Checkbox properties: completion instead

A record over a checkbox would always be “true”, so checkbox properties get a completion chip in the same spot instead:

✅ Checked: 42/90 days (47%)

That is how many of the periods on screen were ticked — 42 of the 90 days the visualization covers — not how many days you remembered to write the property down. A day with no entry counts as a day it was not done, which is what makes the number honest for a habit you only log when you do it.

The unit follows the granularity, so a weekly chart counts weeks. Completion needs no polarity: it counts periods rather than calling any of them best.

Moving Average

For line and area charts, enable a moving average from the card’s right-click menu (7, 14, or 30 periods). It renders as a thin dashed line in the chart’s color, smoothing noisy daily metrics like mood, weight, or steps. Each point is the mean of the recorded values in the trailing window — missing periods are skipped, not counted as 0.

Running Total

For line and area charts, switch Running total to Enabled in the card’s right-click menu to plot the cumulative total instead of the per-period value. A pages_read of 20, 15, then 30 is drawn as 20 → 35 → 65, so you can see progress toward a long-term goal instead of session-by-session values. It works for any numeric property: pages read, distance covered, money saved, tasks completed.

A few details worth knowing:

Values recorded in the same period are combined by the Aggregation setting first, then the periods accumulate. “Sum” is usually what you want here.
The total starts from zero at the left edge of the visible range, so a time frame like Last 30 days totals just that month rather than carrying in earlier history.
A note that exists but records no value holds the line flat rather than breaking it, since your total has not changed. Periods with no note at all are not plotted — they are not part of the chart either way, with or without a running total.
The legend and CSV export label the series (running total), since it no longer shows the raw property value.
A reference line now reads as a target total, which is handy for goals like “500 pages this year”.
A goal target whose period matches the chart’s granularity accumulates alongside the data: “50 per day” draws as a line climbing 50 a day, labeled (cumulative), so you can see whether the total keeps pace with the goal. A target with a different period (e.g. “per week” on a daily chart) has no honest slope on that axis and is not drawn while the running total is on.
The trend arrow keeps describing your per-period rate, not the total, and the trend row is labeled Per-period trend to make that explicit. A cumulative line always climbs when the values are positive, so a trend taken from it would only restate that; “steady 10 a day” reports as flat, which is what you want to know. A ↓ next to a rising total is not a contradiction: your total grew, but by less than in the previous periods.
Clicking a point opens a note from that period, not from everything the total has accumulated so far.
Only numeric properties get this option. List-valued properties are charted as one line per value, which has no total to accumulate.

Trend Indicator

Single-dataset line, bar, and area charts show a small ↑ / ↓ / → arrow next to the card title, plus a trend row below the chart (e.g. Trend: ↑ +12.3% · vs previous 7 periods), comparing the average of the most recent periods (up to 7) against the previous ones. Hover the arrow for the same detail. The display stays neutral in color, since whether “up” is good depends on what you track. Toggle it with the Show trend view option.

Exporting

Right-click any visualization card (long-press on mobile) to export it:

Export image: saves a PNG of the chart in its current state. Available for chart types (line, bar, area, pie, doughnut, radar, polar area, scatter, bubble).
Export CSV: saves the data exactly as displayed — chart periods and values, heatmap dates/values/entry counts, tag frequencies, or timeline points.

Files are saved to your vault’s attachment folder, and a notice shows the exact path.