Visual appearance of bars is defined using certain styles and then you just apply the style to the certain data elements. The main idea of styles is to segregate visualization and data definition. Also you will see list of predefined styles. In this section we will describe main parts of bar chart style and demonstrate how style can be created and applied.
#Anychart directed node graph series#
Each point in series represents one channels and sales amount through this channel. With categories that hold Retail channels names. In terms of An圜hart data model we have one series of data (Sales) Now we need to convert this data table into XML, this format will be accepted by An圜hart. apparel through different retail channels in one year: Retail Channel Let's see single series bar chart created using the following data - sales of ACME Corp. An圜hart solution allows to build both 2D (two-dimensional) and 3D (three-dimensional) bar charts. The values that are shown are durations.ĭepending on data model and the visualization purpose the bar chart may contain single series or multi series.In bar charts, categories are typically organized along the vertical axis and values along the horizontal axis. Although the bars can be horizontally or vertically oriented, we call vertically oriented charts - column charts and study them in a Column Chart Help section.īar charts are useful for showing data changes over a period of time or for illustrating comparisons among items. Working with hatch fills and hatch palettesĪ bar chart, is a chart with rectangular bars of lengths usually proportional to the magnitudes or frequencies of what they represent.Application of different styles to chart elements.Multi-Series bar chart grouped by series.
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