Supported Chart Types

Column Chart & Bar Chart

Depending on your analysis needs, you can choose from three types of column and bar charts:

• Column Chart: Clustered column, Stacked column, 100% Stacked column

• Bar Chart: Clustered bar, Stacked bar, 100% Stacked bar

These charts are used to display and compare data across different categories. Each bar represents a specific category, with its height or length indicating the corresponding value. They are ideal for visualizing comparisons across groups or over time and are commonly used in business and finance to represent key metrics such as revenue, expenses, and profit.

Waterfall Chart

A Waterfall Chart visualizes how an initial value is affected by a series of intermediate positive or negative values, leading to a final result. Named for its resemblance to cascading water, it helps users understand the cumulative effect of sequential values. This chart is particularly useful in financial analysis to track things like profit changes, budget flows, or variance explanations.

Line Chart

A Line Chart is used to show the trend or movement of a variable over time or along a continuous scale. It typically includes one or more lines representing data points connected by straight segments across the x and y axes. It's effective for highlighting trends, patterns, and fluctuations.

Area Chart

An Area Chart is a variation of the line chart where the area between the line and the x-axis is filled with color. This type of chart emphasizes the magnitude of values over time, highlighting not just the trend but also the volume represented.

Pie Chart

A Pie Chart is a circular chart divided into slices to illustrate numerical proportions. Each slice represents a category's contribution to the whole. Pie charts are useful for showing relative percentages and distributions, and are widely used in statistics, education, business, and research.

Combo Chart (Line and Column Chart)

A Combo Chart combines column and line graphs into a single visualization, allowing the comparison of two datasets with different units or scales. This is helpful when analyzing relationships between different types of data simultaneously.

Data Table (Regular Table)

Displays raw data in a structured tabular format with rows and columns, similar to an Excel spreadsheet. Each row represents a record, and each column corresponds to a specific data field.

Matrix Table

A Matrix Table displays data in a pivot-style layout. It supports grouping at multiple levels and allows users to expand or collapse rows/columns. It’s especially useful for showing hierarchical data and summarizing large datasets.