Understanding visualizations

It is important to view the data in the format that is relevant to you. QMF™ Vision has an array of visualizations to suit your business requirements. You can drill down a visualization to slice and dice data. For example, you can drill down data from yearly to quarterly to monthly, and so on.

The following list summarizes the types of visualizations that are provided by QMF Vision:
Visualizations Explanation
Table Presents the summary of data that are grouped by categories. It provides relation between two variables. The data is represented in form of a matrix with frequency distribution of variables.
KPI It displays the key performance indicators for your data. You can add a histogram to this visualization to view the trend of data along with the value of KPI.
Line chart Displays information as points connected by straight-line segments. It represents variations in data at fixed time intervals. For example, a finance manager can use this chart to see the trend in wages that are paid to employees in a decade.
Column chart Displays data in the form of vertical bars. The axes of the chart contain various measures and context. For example, the following chart displays the number of people who are injured across different districts in a country.
Pareto This chart contains both bars and a line graph. The line that appears above the par graph shows the cumulative total.
Dot plot This chart displays data points that are plotted on a scale using circles. This chart is used for continuous data. It is usually used for moderate sizes data sets.
Stack bar This char uses horizontal or vertical bars to display comparison among different categories. Values are plotted on one axis of the graph and categories on the other. This graph can be stacked horizontally. A sales manager can use the bar chart to view sales for five years.
Waterfall This chart displays the effect of a series of positive and negative values on the initial value. The chart is also known as the flying bricks chart.
Stacked area This chart displays quantitative data on a graph. It is used to compare two or more quantities and the area between axis and line is emphasized by different colors.
Scatter plot Displays values for two variables for a data set. The data is represented by a collection of points or clusters. These points are displayed in uneven intervals. For example, a sales manager can use this chart to view the correlation between percentage sales across different demographics. A trend line on the scatter plot shows the sales trend of a product over time.
Box plot This chart displays a set of values across a range in the ascending order. The values are represented by percentile with median placed in the centre of the box.
Bullet chart This chart is used to portray comparative performance. It is a horizontal bar graph that features a single, primary measure and displays that measure in comparison to one or more other measures in the context of qualitative ranges of performance. For example, you can show actual and target performance.
Geo map It presents quantitative data for a country, region, city and so on by the way of varying color intensity. A user can view analysis of a data based on various geographies. This map can be drilled down to display detailed analysis.
Geo bubble This chart is combination of geo map and bubble chart. The bubble size and color intensity combined with regional color fills is used to display data.
Word cloud This chart is used to visualize text data. The text size of these words represents the frequency of the word. To generate meaningful word cloud, the text to be entered should be free of fillers. It can be used to convey the most salient points in a report. This report also makes it easier for a user to spot text. They have a strong visual impact and are easy to understand.
Tree map Represents the data in form of nested rectangles. It helps you to view large data in a small space.
Heatmap This chart is made of cells arranged as a tabular matrix. Each cell displays a quantitative value by varying color gradient.
Pie chart It is circular and divided into sectors. The arc length of the chart represents the quantity. Users can explode the chart for an insight into segments.
Sunburst This multilevel pie chart is best suited to represent hierarchical by the way of concentric circles. The outermost circle represents the data in top of the hierarchy.
Bubble It is used to visualize data in three dimensions. This chart is used if your data has three data sets as opposed to commonly used, two data sets.
Text and images You can add a description of the key elements on the dashboard or additional information to help the user understand the analysis.
Web page Enables you to embed HTML code on your dashboard.
Dashboard Filter It is used to apply filter criterion to a dashboard.