Visualizations

Life Tracker supports 12 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
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

Circular Charts

These charts show proportions and distributions.

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

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

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

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

Reference Lines

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

Add horizontal lines at target values
Useful for goals and thresholds
Custom labels (defaults to “Target: {value}”)
Color matches the dataset

Example uses:

Weight goal line
Minimum sleep target
Exercise duration target