Research: Composition

Research: Composition

          Kirk & Wen-Mei (2016) argues that composition is the most basic requirement for a designer. The first thing a person or reader looks at when viewing at a set of data is the colour, position and presentation of the diagram. Composition form the last step for designers where they have to think of composition in a way such as the positioning of the graphics, their arrangements besides sizes of the charts, how the interactive controls, as well as annotated elements, have been used across the project and finally the decisions made regarding each table. All these considerations are observed due to the need to accomplish the final objective, which is optimum readability. Therefore, this paper will discuss composition using the project level as well as chart-level composition options.

Composition

The composition is considered an essential aspect of data visualization. It concerns with particular physical preferences, connections between visible possessions in which may result in efficient readings and understanding for the reader. The composition is significantly vital during project construction and emphasizes on bringing together various elements in view and focus on what they are made off.

Project-level composition

This option is focused on bringing out the layouts that will are used to set up the entire project. The primary purpose of this step is to ensure that images and graphics used in the final project about the sequence as well as structure are clear, memorable and mind-blowing (Kirk, & Wen-Mei, 2016). They may include different elements such as collaborative action plans, graphical representations, as well as short explanations about the components. The tools used to perform the tasks may cover;

Storyboarding; These are tools used to show a series of collaborative animatics for enhancing user visualization. They will are used before the entire picture motions, animations as well as motion graphics. These tools are highly recommended for their ability to bring out the idea behind the full text (Kirk, & Wen-Mei, 2016).

Wireframing: This is a technique used in composition where visual designs are used in presenting accurate layouts to allow the best user-experiences besides interface. The tools can show relationships between the various pages within the text, thus creating more understanding for the reader. Wireframes creation done before the whole visual designing work begins to allow the designer to focus only on architecture with no colour besides visual distractions (Vafeiadis et al. 2019). This allows the designers to develop a better final product which is visually attractive to the reader and makes more meaning in the shortest time possible upon looking at the graphical two components.

Chart-level composition

Charts in information are used to compare data, finding ranks and trends. Kirk, & Wen-Mei, 2016) asserts that chart-level form may include features such as the spatial concerns which are found only within particular charts. The level consists of different aspects which can be considered. These are;

The different chart measurements which should be considered during the formulation process of the chart. They involve attributes, for instance, the spots, colours, contour as well as outline. These aspects should be precisely used to bring out the final table for better visualization by the reader.

To ensure the enhancement of the chart possibilities and potentials, the different analyses may be drafted concurrently within a given chart (Card, Mackinlay & Shneiderman, 2009). The purpose of these enhancements is to enable viewers visualization of all the samples in the data.

There are possibilities which may be encountered during the commencement of different analysis. The impact is created on the text sizes where the textual contents may shrink depending on the image size. Therefore, considerations regarding the text, including font-size, text colour, and preferred text type (Kirk, & Wen-Mei, 2016).

Explanations  

Project-level composition

Several questions should be addressed by the use of the tools under the projects. The items may include;

a). You had to demonstrate the worst possible data visualization composition practices (in the same space)

b). You had to force yourself to use a small space as reasonably possible

c). You have to transpose the work from landscape > portrait or vice-versa

To address the questions under this level, wireframing can be used to improve the sparse data visualization within the space and utilize the minimal space for the same purpose (Greenfield & Southgate, 2003).

Chart-level composition

This type of writing comprises of scales which are represented by values of x and Y-axis. When plotting, the minima and maxim range impact the chart. Therefore, when resizing the poorly visualized data and forcing the use of smaller-space to visualize the textual data, concerns, as well as axis dimensions, should be considered to acquire the desired product. Kirk & Wen-Mei (2016) assets that modifying the chart may require additional drafting of simultaneous analysis within the table. The primary purpose of the new study is to enable viewers to get proper data visualization of all the available samples.  In a case the element length is higher within the chart, factoring of scale values to smaller units may be necessary. This allows the user to express the meaning with the original inclusion of visual scopes.