Take data visualization to the next level with dozens of advanced charts in PowerPoint, Excel and Word

Compare two related values for multiple categories, for instance for 2 different years.

Visualizes flows and their proportions between different categories with linked paths. Read more.

Ideal for comparing multiple variables across different categories to identify strengths and weaknesses.

Great for analyzing market share or distribution when both axis values vary in size. Read more.

Perfect for tracking trends and changes over time with continuous data points.

Used for project management to visualize timelines, tasks, and dependencies. Read more.

Ideal for visualizing changes at irregular intervals, such as pricing or inventory levels.

Great for comparing category totals while showing the contribution of each subcategory.

Useful for displaying performance against a target, like KPIs or progress tracking.

Helps compare multiple related datasets side by side for deeper insights.

Ideal for showing the distribution of data and frequency of values within specific ranges.

Used for visualizing relationships between two variables with individual data points.

Perfect for highlighting the difference between actual and expected values in a clear comparison.

Great for showing proportions and parts of a whole, similar to a pie chart, with a central space.

Visualizes data as a grid of squares, ideal for showing percentages and progress in a compact format.

Used to represent data with varying categories, where column width reflects the significance of each value.

Ideal for comparing changes between two points in time across multiple categories.

Shows incremental changes in data, useful for visualizing profits, losses, or financial trends.

Great for comparing values across categories using vertical bars for clear visualization.

Ideal for comparing values across categories using horizontal bars for easy readability.

Useful for visualizing minimum and maximum values over a range, such as temperature or price variations.

Ideal for comparing multiple variables across categories to highlight strengths and weaknesses.

Great for visualizing relationships between three or four variables using bubble size to show magnitude.

Uses human-shaped icons to represent data, making statistics more engaging and relatable.

Ranks categories in descending or ascending order for easy comparison of values.

Uses arrows to show direction and magnitude, ideal for illustrating trends or movements.

Highlights positive and negative contributions within categories for easy comparison.

Combines bars and dots to emphasize individual data points while maintaining comparison clarity.

Displays hierarchical data as nested rectangles, ideal for showing proportions within categories.

Visualizes stages in a process, highlighting the decline in values from start to end.

Used to visualize uncertainty in forecasts, showing possible future ranges with fan-like shapes.

Tracks progress over time in project management, showing work completed versus remaining tasks.

Visualizes the relationship between two variables, showing data points on an X and Y axis.

Displays hierarchical data in a circular layout, highlighting proportions and relationships within levels.

Shows the relative percentage of each category within a total, with columns representing 100%.

Visualizes the distribution of data points, showing the frequency of values in a bell-shaped curve.

Enhances standard column charts by adding variation in values and percentages.

Reduces overlap in scatter plots by adding slight random variation to data point positions.

Shows events in chronological order, ideal for visualizing project milestones. Read more.

Highlights discrete changes between data points, useful for stepwise variations or sudden shifts.

Used for visualizing survey responses, showing agreement or sentiment across multiple categories.

Compares two datasets side by side, often used for sensitivity analysis and risk assessment.