Explore chart types designed for trend analysis, comparisons, and dashboards. Learn which visuals to use based on your analytical goals - no code required.

Data visualization should clarify - not complicate. But in many tools, users face unclear chart logic, inconsistent formatting, and a lack of governance, leading to unreliable dashboards, duplicate metrics, and wasted analysis effort.

Edilitics resolves this with a standardized, governed visualization layer built on top of clean, transformed datasets. Every chart type is carefully designed to support specific analytical use cases, ensuring clarity, consistency, and trust in what your teams see.

Why Visual Standardization Matters

Without enforced structure, most organizations struggle with:

Chart sprawl and redundancy

Dashboards often include multiple charts showing the same metric, but with different logic or filters - causing confusion.
Inconsistent formatting and filters

Ad hoc dashboards lead to mismatched color schemes, time filters, and calculation logic across teams.
Unvetted data sources

Users may visualize raw or temporary datasets without realizing the risk of incorrect or outdated results.
Lack of collaborative control

In most BI tools, there’s little control over who builds what, where - and no traceability when dashboards go stale or break.

How Edilitics Solves This

The Visualize module addresses these problems with a charting framework grounded in governed workflows and consistent logic:

Built on cleansed, shared datasets

Every chart in Edilitics is configured on top of a validated table from the Transform module, ensuring column definitions, field types, and aggregation logic are standardized.
Standardized chart behavior

Each chart type supports governed filters, auto-grouping for time/date fields, and dynamic formatting based on data type.
Flexible formatting, consistent themes

Theme-based visuals ensure all dashboards adhere to your organization's look and feel - across teams and business units.
Secure collaboration by design

Dashboards and charts can be securely shared, versioned, and viewed in real-time without exposing raw logic or edit rights unnecessarily.

For step-by-step setup of your dashboards, refer to the Visualize Module Overview.

Supported Chart Types in Edilitics

Each chart type is designed to fulfill a distinct visualization purpose - whether it's highlighting patterns over time, comparing subgroups, or presenting a structured tabular view.

Bar Charts

Chart Type	Description	Dimensions
Basic Bar	Best for comparing values across discrete categories. Bar length reflects value magnitude, with optional sort order controls.	1 category (row), 1 value field (column)
Clustered Bar	Compares sub-groups within each primary category. Each cluster holds multiple bars side-by-side.	2–10 categories (rows), 1 value field (column)
Stacked Bar	Displays composition by stacking sub-categories vertically. Great for part-to-whole metrics.	2–10 categories (rows), 1 value field (column)
Horizontal Bar	Rotated version of the bar - ideal for long category labels or large numbers of items.	1 category (row), 1 value field (column)
Horizontal Clustered Bar	Compares sub-groups across horizontally grouped bars.	2–10 categories (rows), 1 value field (column)
Horizontal Stacked Bar	Shows part-to-whole contributions across a horizontal layout.	2–10 categories (rows), 1 value field (column)
Radial Polar Bar	Circular bar chart for comparing categories with angular visual impact.	1 category (row), 1 value field (column)

Line & Area Charts

Chart Type	Description	Dimensions
Basic Line	Connects data points with a continuous line - ideal for trend analysis over time.	1 category (row), 1 value field (column)
Stacked Line	Displays cumulative trends for multiple series.	2–10 categories (rows), 1 value field (column)
Basic Area	Similar to a line chart, but the area beneath is filled - highlighting volume.	1 category (row), 1 value field (column)
Stacked Area	Aggregates multiple filled lines to show overall trends and contributions.	2–10 categories (rows), 1 value field (column)
Mixed Line & Bar	Combines line and bar charts for dual-metric comparison on a shared axis.	1–2 categories (rows), 2 value fields (columns)

Pie & Doughnut Charts

Chart Type	Description	Dimensions
Basic Pie	Displays relative proportions as slices of a circle. Best for part-to-whole with limited categories.	1 category (row), 1 value field (column)
Doughnut Pie	Pie chart with a hollow center - useful for adding KPI labels or icons.	1 category (row), 1 value field (column)
Half Doughnut	Semicircular gauge-style chart for progress or target tracking.	1 category (row), 1 value field (column)
Nightingale Rose	Circular chart where category values are represented by radius, not angle.	1 category (row), 1 value field (column)

Statistical & Distribution Charts

Chart Type	Description	Dimensions
Histogram	Shows frequency distribution of a single numeric variable across bins.	1 value field (column)
Boxplot	Visualizes statistical distribution showing median, quartiles, and outliers.	1 category (row), 1 value field (column)
Scatter	Plots two numeric variables to explore correlations or clusters.	2 value fields (columns)
Bubble	Extends scatter with a third dimension represented by bubble size.	3 value fields (columns)

Hierarchical & Flow Charts

Chart Type	Description	Dimensions
Treemap	Nested rectangles showing hierarchical data by size.	1–3 categories (rows), 1 value field (column)
Tree	Hierarchical node-link diagram for organizational structures.	1–3 categories (rows)
Sankey	Flow diagram showing movement or transformation between stages.	2 categories (rows), 1 value field (column)
Funnel	Shows progressive reduction across stages like sales or conversion funnels.	1 category (row), 1 value field (column)

Geographic Charts

Chart Type	Description	Dimensions
Map	Choropleth map for regional data visualization by color intensity.	1 geographic field, 1 value field (column)
Scatter Map	Point-based geographic visualization for location-specific data.	Latitude, Longitude, 1 value field (column)

Specialty Charts

Chart Type	Description	Dimensions
KPI Scorecard	Single-value display for headline metrics with optional trend indicators.	1 value field (column)
Gauge	Dial-style chart for displaying progress toward a target.	1 value field (column), 1 target value
Radar	Multi-axis chart for comparing multiple variables across categories.	3–8 categories (rows), 1 value field (column)
Heatmap	Matrix visualization with color intensity representing values.	2 categories (rows), 1 value field (column)
Word Cloud	Displays word frequency with size representing occurrence count.	1 text field, 1 value field (column)

Table Charts

Chart Type	Description	Dimensions
Text Table	Interactive table for structured views of KPIs and records.	1–10 categories (rows), 1–10 fields (columns)
Highlighted Table	Extends text tables with conditional color formatting for anomalies.	1–10 categories (rows), 1–10 fields (columns)

How to Choose the Right Chart

The best chart depends on the type of question you're answering, not just the data available. Below are common analysis goals with recommended visuals:

Analytical Goal	Recommended Chart Types
Compare values across categories	Basic Bar, Clustered Bar, Horizontal Bar, Radar
Visualize part-to-whole data	Stacked Bar, Pie, Doughnut, Treemap, Stacked Area
Analyze trends over time	Line, Area, Stacked Line, Mixed Line & Bar
Show statistical distribution	Histogram, Boxplot, Scatter, Bubble
Explore geographic data	Map, Scatter Map
Track KPIs and targets	KPI Scorecard, Gauge, Half Doughnut
Visualize flows and stages	Sankey, Funnel, Tree
Explore correlations	Scatter, Bubble, Heatmap
Display hierarchies	Treemap, Tree, Sankey
Explore granular tabular data	Text Table, Highlighted Table
Spot anomalies or patterns	Highlighted Table, Heatmap, Boxplot
Analyze text frequency	Word Cloud

Need help interpreting visual outputs? All visualizations support live tooltips, point-and-click filters, and chart-level formatting for easier analysis.

Integrated Governance and Scalability

Unlike BI tools that treat charts as disconnected assets, Edilitics treats charts as outputs of a controlled, governed pipeline.

Data Trust by Design

Charts are always built on transformed datasets configured in the Transform module - ensuring metrics reflect a single source of truth.
Centralized Formatting

Application-wide themes (light/dark), default fonts, and color logic are enforced automatically to ensure consistency across dashboards.
Smart Chart Suggestions

Optional chart recommendations are available within the builder, offering context-aware visual choices based on column metadata and data types. These are based on metadata only - no data is shared outside your environment.
Configurable, Not Scripted

Every chart in Edilitics is built with a point-and-click or drag-and-drop interface, no SQL or scripting required.
Reusable Dashboards

Once configured, charts can be reused, duplicated, or shared across teams - without duplicating logic or losing governance.

Built for Enterprise Reporting at Scale

Whether you're building an executive scorecard, a real-time campaign dashboard, or a board-level summary - Edilitics provides the right visual structure, with the right governance, at every step.

From chart selection to dashboard sharing, everything in Edilitics is designed to be reusable, secure, and analytically consistent - so teams can move faster without compromising on trust.

Need help? Email support@edilitics.com with your workspace, job ID, and context. We reply within one business day.

Chart Types Catalog