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What Are Figs?

Figs are Go Fig’s branded name for charts - interactive visualizations that can stand alone or added to a dashboard.

Chart Types

Overview

Metrics display single key performance indicators with optional comparisons, trends, and sparklines.Best For:
  • Executive dashboards (Revenue, Profit, Customer Count)
  • Real-time monitoring (Active Users, Server Uptime)
  • Goal tracking (Quota Attainment, NPS Score)

Configuration Options

Value Display:
  • Aggregation: SUM, AVG, COUNT, MIN, MAX, MEDIAN
  • Formatting: Currency ($), Percent (%), Number (1,234), Decimal precision
  • Size: Small (1-2 columns), Medium (3-4 columns), Large (4-6 columns)
Comparison (Period-over-Period):
  • Compare To: Previous period, Same period last year, Target value, Custom baseline
  • Display: Percentage change, Absolute change, Both
  • Trend Indicator: Up arrow (green), Down arrow (red), Neutral (gray)
  • Inverse Colors: Enable for metrics where down is good (e.g., Costs, Defect Rate)
Sparkline (optional mini chart):
  • Shows trend over time (last 7 days, 30 days, 90 days)
  • Area or line visualization
  • Helps contextualize current value
[SCREENSHOT: Metric configuration panel with all options]

Overview

Column & Bar charts compare categorical data using rectangular bars. Height/length represents value.Variations:
  • Columns: Categories on X-axis, values on Y-axis
  • Bars: Categories on Y-axis, values on X-axis
  • Grouped: Multiple series side-by-side (compare subcategories)
  • Stacked: Multiple series stacked (show total + composition)
  • 100% Stacked: Normalized to 100% (compare proportions)
Best For:
  • Comparing categories (Sales by Product, Revenue by Region)
  • Ranking (Top 10 Customers, Bottom 5 Performers)
  • Part-to-whole with categories (Market Share by Company)

Configuration Options

Data Requirements:
  • Category Column (X-axis): Product, Region, Month (categorical or date)
  • Value Column (Y-axis): Sales, Quantity, Revenue (numeric)
  • Series Column (optional): For grouped/stacked charts
[SCREENSHOT: Bar chart configuration panel]

Overview

Line charts display trends over time by connecting data points with lines. Ideal for time-series analysis.Variations:
  • Overlay: Multiple series plotted on the same axis (compare subcategories)
  • Stacked: Multiple series stacked (show total + composition)
  • Stacked 100%: Normalized to 100% (compare proportions)
Best For:
  • Time-series trends (Revenue over time, Daily active users)
  • Comparing trends (This year vs last year)
  • Forecasting with trend lines

Configuration Options

[SCREENSHOT: Line chart configuration with reference lines]

Overview

Pie charts show part-to-whole relationships as circular slices. Donut charts add center space for labels/metrics.Best For:
  • Composition (Market share, Budget allocation)
  • Categories with few segments (2-6 slices ideal, max 10)
  • Showing dominance of one category
Avoid For:
  • Precise comparisons (use bar chart instead)
  • Time-series data (use line/area chart)
  • More than 10 categories (too cluttered)

Configuration Options

Data Requirements:
  • Category Column: Slice labels (Product, Category, Region)
  • Value Column: Numeric values (sales, count, percentage)
Chart Type:
  • Pie: Full circle
  • Donut: Ring with center space
[SCREENSHOT: Donut chart configuration panel]

Overview

Tables display raw data in rows and columns with sorting, filtering, pagination, and conditional formatting.Best For:
  • Detailed data exploration (customer lists, order details)
  • Sortable/filterable datasets
  • Exporting data for further analysis

Configuration Options

[SCREENSHOT: Table configuration showing column settings]

Overview

Scatter plots show relationships between two numeric variables as points on X-Y plane.Best For:
  • Correlation analysis (Price vs Sales Volume)
  • Outlier detection (Identify anomalies)
  • Distribution patterns (Clustering, spread)

Configuration Options

Data Requirements:
  • X-Axis: Numeric variable (e.g., Price)
  • Y-Axis: Numeric variable (e.g., Sales)
[SCREENSHOT: Scatter plot configuration with trend line options]

Overview

Area charts are line charts with filled area below the line, emphasizing cumulative totals.Variations:
  • Overlay: Single metric over time
  • Stacked: Multiple metrics stacked (show total + composition)
  • 100% Stacked: Normalized to 100% (show proportion changes)
Best For:
  • Cumulative totals over time (Total revenue, Cumulative users)
  • Part-to-whole over time (Revenue by product category)
  • Emphasizing magnitude of change
[SCREENSHOT: Stacked area chart example]

Configuration Options

Similar to line charts[SCREENSHOT: 100% stacked area chart showing proportions]

Overview

Funnel charts visualize multi-stage processes showing drop-off at each stage.Best For:
  • Conversion funnels (Website visits → Signups → Purchases)
  • Sales pipelines (Leads → Qualified → Opportunities → Closed)
  • Process efficiency (Manufacturing stages, Approval workflows)
[SCREENSHOT: Funnel chart showing conversion stages]

Configuration Options

Data Requirements:
  • Stage Column: Stage names (sequential order)
  • Value Column: Count or amount at each stage
[SCREENSHOT: Funnel configuration panel]

Overview

Gauge charts display single values as progress toward a target or within a range.Best For:
  • Goal tracking (Quota attainment, Target progress)
  • Performance monitoring (Server capacity, Budget utilization)
  • Status indicators (Health scores, Quality ratings)
[SCREENSHOT: Gauge chart variations]

Configuration Options

Gauge Style:
  • Type: Full circle, Semi-circle, Arc
  • Needle: Classic needle, Bar, None (just fill)
Range:
  • Min: Minimum value (default: 0)
  • Max: Maximum value (target or capacity)
[SCREENSHOT: Gauge configuration with threshold bands]

Tips and Best Practices

Match Chart to Data Type: Time-series → Line/Area. Categories → Bar. Part-whole → Pie. Correlation → Scatter.
Limit Pie Slices: Use 2-6 slices. More than 10 slices? Use bar chart instead.
Start Y-Axis at Zero: For bar/line charts showing magnitude (not just trend). Starting above zero exaggerates differences.
Use Color Consistently: Establish meaning (green=good, red=bad, blue=neutral) and apply across all dashboard figs.
Add Context with Reference Lines: Show targets, averages, or thresholds to make charts more actionable.
Sort for Impact: Sort bar charts by value (descending) to highlight top performers. Don’t leave alphabetical unless intentional.
Declutter: Remove unnecessary gridlines, borders, and decorations. Focus on data, minimize chart junk.
Test Colorblind-Friendly: 8% of men are colorblind. Use patterns/shapes or colorblind-safe palettes (not just red/green).