Plots the distribution of data grouped into sorted frequency bins.

Shows the biggest factors in a set of data (e.g. per the 80/20 Pareto principle).

Includes a line representing cumulative contribution to 100% of each column.

Limited formatting options compared to a Combo chart.

Plots data points for independent and dependant variables.

Often used for scientific, statistical, and engineering data.

Also known as XY chart. Shows patterns in large sets of data.

Plots data in order and joins with a 2D line.

Track changes or trends over time.

3D option is also available.

Plots fluctuations in stock prices or other data.

Uses 5 series of values, in order: volume, open, high, low, close.

Data needs to be organized in the correct order.

Plots fluctuations in stock prices or other data.

Uses 4 series of values, in order: open, high, low, close.

Data needs to be organized in the correct order.

Plots data within a hierarchical structure.

Segments are sized proportionally based on values.

Effective at showing how a category is broken into its contributing pieces.

Join two or more text strings together with a delimiter.

TEXTJOIN(delimiter, ignore_empty, text1, [text2], ...)

Plots data into quartiles, highlighting the mean, median and outliers.

Indicates whether a distribution is skewed or whether there are outliers in the data set.

Use with multiple data sets which relate to each other in some way.

Plots data in horizontal rows stacked by category.

Make comparisons between discrete categories.

2D and 3D options are available.

Plots data proportional to the sum of items.

Data points shown as a percentage of the whole.

Unlike a pie chart, can display multiple categories.