Defines the horizontal axis of the chart

Defines the vertical axis of the chart

Displays a list of the values appearing in the chart and an example of their appearance. This information allows the data from each value to be identified in the chart. AppCreator allows you to choose the position of the legend in your chart.

Displays data along X-axis (horizontal) and Y-axis (vertical) as rectangular bars. These charts are helpful in finding trends over time periods by using different colors.

Displays data as vertical bars, stacked one on top of the other in vertical columns and allow part-to-whole comparisons across categories. 

A variation of the stacked column chart, this chart enables you to check a specific percentage of the overall data quickly.

Displays your categorical data in rectangular bars with lengths proportional to the values they represent. They are similar to column charts and are preferred when dealing with larger data.

Displays data as horizontal bars, with each bar divided into a number of sub-bars stacked from end to end and corresponding to the field values it is stacked by. This chart enables part-to-whole comparisons over time or across categories.

A variation of the stacked bar chart, this chart enables you to check a specific percentage of the overall data quickly.

Displays data as a series of data points called markers, that are connected by lines. They are used to depict trends over time periods such as analyzing long-term trends in sales, financial data, or marketing statistics. 

Displays the relationship between two or more field values using marked, distinct points that appear scattered in the chart. It provides you with the degree of difference between those values, which is known as correlation, such as comparing the sales of ice-cream at different temperatures of the day. 

These are similar to line charts, as they display data that are plotted using lines but with a filled area below. They offer a simple presentation that is easy to interpret at a glance.

Displays your data plotted with filled areas stacked, one on top of the other. These charts depict how part to whole relationships change over time. 

Resemble a spider web, where its axes radiate out from the center and data points are plotted on each axis using a common scale. These charts are preferred for large set of different data groups For example, the HR department can use web charts to check the skill pattern of different employees and analyze their performance.

Uses pie slices to display the relative size of data. Useful for small categorized groups of data. For example, survey questions in yes/no format, data split by gender, etc.

Essentially a pie chart with an area of the center cut out. Displays proportions of categorical data, with the size of each piece representing the proportion of each category. For example, comparing the total value of policies in each policy class of an insurance company.

Simply a donut chart cut in half. The main advantage is that it takes two times less space than the regular pie or donut chart for the same amount of data displayed. Also, they provide compact visualization, often used in dashboards.

Displays the progressive reduction of data in stages, where each stage represents a part of the total. For example, these charts can depict the potential leads funnel that allows executives to see how effective the sales team is in turning a sales lead into a closed deal.