Showcase

Today we look at creating a Bootstrap Dashboard application. This layout is increasingly popular lately. It provides both a wealth of data for the user to consider and a responsive layout, which covers a wide variety of devices.

For the sample used in this blog, I have used the ShieldUI web development framework, which offers all of the widgets utilized.
The complete sample is available for download here.

Our development team recently added a new and highly anticipated feature to our jQuery Grid component - editing. This enhancement impacts both the Grid and the Data-source components, which both received major updates, to facilitate the functionality.

The jQuery window control is the latest addition to our component Suite, which has now grown significantly. The control allows showing predefined or dynamic text and content in a windowed container. This improves content separation on the page and allows additional styled prompts.

Buuble chart series are similar to scatter charts. They resemble individual, disconnected points of data. Unlike scatter points, bubbles should not be used in "cluster" scenarios.

Getting Started
In order to take advantage of the functionality offered by the chart component, you will need to:

Scatter charts render individual, disconnected points. Unlike line and area charts, scatter points do not convey trends well, but are used for individual data entries.

Getting Started

In order to take advantage of the functionality offered by the chart component, you will need to:

1. Include references to all required scripts.
2. Add the control declaration along with the desired properties.

Pie charts are similar to bar charts in the aspect that pie charts tend to visualize individual, disconnected points, rather than trends, such as lines or area charts. With a pie chart, the focus is on showing a part-of-a-whole relationship.

Getting Started

In order to take advantage of the functionality offered by the chart component, you will need to:

Bar charts are useful for displaying data that is classified into nominal or ordinal categories. Nominal data is categorised according to descriptive or qualitative information such as county of birth, or subject studied at university. Ordinal data are similar but the different categories can also be ranked, for example in a survey people may be asked to say whether they thought something was very poor, poor, fair, good or very good.

Area charts are similar to line charts in that they are used to track performance over a period of time. Line charts and area charts are very closely related. They are both good for time series data. They both show continuity and connectivity across a given dataset. They are both good for underlining trends rather than individual values.

Line charts are used to track performance over a period of time. It connects a series of points with straight lines. When working with line series, depending on the precise type of data in the underlying data source, one can choose either a standard line or a scatter. A line is preferred when the distribution of data over time is more even. A Scatter on the other hand, is the better choice when working with clusters of data, which would otherwise be harder to distinguish.

When choosing a data visualization tool, it is important to pick the right set. The Shield UI Chart component offers three distinct advantages. We will briefly look at these in the next paragraphs.