Bar Charts

Bar chart

Bar-chart is the simplest and most versatile of all statistical diagrams. It compares values across categories and proves ideal for highlighting the variations in an item value over time via horizontal bars. Points from adjacent series are drawn as bars next to each other.

Stacking Bar Chart

Stacking BarCharts are bar charts with Y values stacked over one another, in the series order. Chart data can be visualized as sum of series parts, while using the StackingBar Chart.

StackingBar100 Chart

The 100% stacked bar chart type displays multiple series of data as stacked Bars ensuring that the cumulative proportion of each stacked element always totals 100%. The Y axis will hence always be rendered with the range 0 - 100. The type of charts are best suited for depicting relative contribution of data points.

Gantt Chart

Frequently used in project management, a Gantt chart provides a graphical illustration of a schedule to help plan, coordinate, and track specific tasks in a project.

Key Features:

• Provides a graphical representation of the duration of tasks against the progression of time.
• Each task takes up one row.
• The expected time for each task is represented by a horizontal bar, whose left and right end mark the beginning and completion date of a task, respectively.
• Another bar usually rendered behind and wider than the above bar is used to represent the progress information of that task.
• Tasks may run in a sequential, parallel or overlapped fashion.

Histogram_Chart

Histogram is a bar (column) chart of a frequency distribution in which the widths of the bars are proportional to the classes into which the variable has been divided and the heights of the bars are proportional to the class frequencies. The categories are usually specified as non overlapping intervals of some variable. The categories (bars) must be adjacent. In addition, the chart has the capability to draw a normal distribution curve.

Tornado Chart

The Tornado chart is a bar chart which shows the variability of an output to several different inputs. Variability is displayed using relative lengths of bars across a range. It is mainly used in sensitivity analysis. It shows how different random factors can influence the prognostic outcome.