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Assignment3.zipAssignment 2/AssignementOne1.docx
DATA AND COMPOUND VISUALIZATION
DATA AND COMPOUND VISUALIZATION
Data and Compound Visualization
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Data presentation accommodates significant articulation to marks and attributes for effective dossier visualization and compound display in an organization, accommodating different visualization methods (Kirk, 2013). Admittedly, data representation occurs in the forms of data visualization and compound visualization for extensive visualization to ensure readability, meaningfulness, and visibility. In the periodic table for visualization methods, data visualization, and compound visualization provide underscored articulation. Specifically, bar charts in the data visualization and knowledge map in the compound visualizations accommodates significant and distinctive features that accommodate cho8ces and visualizations needs, Therefore my choice of bar charts and knowledge map on data visualization and compound visualization respectively, posits significant advantages to ensures data readability, meaningfulness, and visibility for data-driven decision-making.
A bar chart is a visualization method that displays quantitative data of different categories, comprising of bars and heights for each category representation. Significantly, the bar charts in data visualization provide significant advantages in showing a variation on individual values against time for effective data meaningfulness, readability, and visibility in data visualization techniques. Similarly, the bar charts facets such as tick marks and gridlines increase accuracy and readability on quantitative values. A knowledge map is a significant compound visualization method showing knowledge accessibility in groups or organizations and expertise usage within the visual aid tools in compound visualization. Notably, the maps are interconnected using nodes for effective management of information within a grouped or compound data in visualization techniques. According to the author, knowledge maps is significant because of powerful integrations, fundamental project planning, and management, significant compound visualization platform, and convenient applications (Onyancha, 2020). Thus my choice of the bar charts and knowledge map as data visualization and compound visualization resonates with visibility, integration, and interaction in single and grouped data visualization for effective project management.
References
Kirk, A. (2013). Data Visualization: A Handbook for Data-Driven Design. Sage Publications
Onyancha, O. (2020). Knowledge visualization and mapping of information literacy, 1975–2018. IFLA Journal. Vol. 46. Pp.107-123
Assignment 2/Assignment11.docx
Running Head: ASSIGNMENT 1. DATA ADJUSTMENT 1
DATA ADJUSTMENT 2
Assignment 1- Data Adjustment
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Data adjustment as well as presentation is an essential concept which entails the utility of a variety of distinct graphical associatied methods to visually illustrate the identified reader the identified relationship that exists between the distinct data associatied sets. There are a variety of benefits that come with it including emphasizing on the identified nature regarding a specific aspect associatied with the data or even to geographically place the given data effectively on a given map (In Schnädelbach & In Kirk, 2019). Of the chosen aspects, there is that one that is referred to as annotation. Annotation is defined as being the third level type of layer associatied with data associatied visualization design form of anatomy. It is essential in focusing more simply the need to illustrate a variety of things. Annotation associatied feature is usually considered to be unquestionably be the most neglected layer regarding data associatied visualization anatomy since it entails the least amount associatied with pure design form of thinking regarding other matters which needs attention just like interactivity and color (Conference on Artificial Intelligence in Medicine (2005) & In Teije, 2019).
The most appropriate annotation is the one that needs the visualizer to actually comprehend the intended type of audience. This can be considered to be a hard frame associatied with the mind to take part in the adoption specifically when the identified potential viewers are considered to be having diverse type of knowledge along with ability and even the range regarding interest. Annotation requires that the user to understand the principle of Goldilocks. Project annotation is essential in helping the given viewers to have a comprehensive understanding of what the identified project entails as well as the utility regarding the given Project. Chart annotation is considered to be more like assisting the given viewers to see the identified charts as well as help in the optimization of the potential associatied interpretation
References
Andy Kirk - Data Visualization_ A Handbook for Data Driven Design-Sage Publications (2019)
Conference on Artificial Intelligence in Medicine (2005), In Riaño, D., In Wilk, S., & In Teije, A. (2019). Artificial intelligence in medicine: 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26-29, 2019, Proceedings.
In Schnädelbach, H., & In Kirk, D. (2019). People, personal data and the built environment. Retrieved from https://www.worldcat.org/title/people-personal-data-and-the-built-environment/oclc/1096280319
Assignment 2/Assignment21.docx
Running Head: ASSIGNMENT 2- TOPIC OF COLOR 1
ASSIGNMENT 2-TOPIC OF COLOR 3
Assignment 2- Topic of Color
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Color
There are different aspects of color that need to be put into consideration. The following research looks at the specific aspects of color hue spectrum concept. This is among the three key aspects of color. Hue is defined as being the term which is usually utilized when talking about the pure associated spectrum colors. In the common cases, it is often defined as being the color associated names (In Tagnin & In Aluisio, 2014). The color names are considered to be red along with orange, blue, green violet and even yellow. These types of colors are usually considered to be appearing in the hue circle regarding the rainbow and can be seen when it appears. In theoretical terms, it is often considered that all the identified hues can be effectively mixed from the three fundamental hues which are usually referred to as primaries. It is vital to understand these aspects as they form the basis for understanding all the other concepts in the topic of color (Andy Kirk - Data Visualization_ A Handbook for Data Driven Design-Sage Publications, 2019).
Hue is considered to be among the key properties which are defined as being color appearance associated parameters regarding color. This is as they are defined technically in the identified CIECAMO2 associated model as the identified degree to which a given stimulus can be illustrated as being similar or even distinct from the identified stimuli which are usually illustrated as being red along with green and yellow whereby some theories regarding color vision are usually referred to as being unique hues. Hues can be represented in a quantitative manner through a single number usually considered to be corresponding to an identified angular position that is considered to be around a central or even a neutral point or an identified axis on an identified colors pace coordinate form of diagram or even the identified color associated wheel which is of its complementary associated color (Beckwith, 2013).
References
Andy Kirk - Data Visualization_ A Handbook for Data Driven Design-Sage Publications (2019)
Beckwith, B. (2013). Programming Grails. Sebastopol, CA: O'Reilly. Retrieved from https://www.worldcat.org/title/programming-grails/oclc/842363841
In Tagnin, S. E. O., & In Aluisio, S. M. (2014). New language technologies and linguistic research: A two-way road. Newcastle upon Tyne: Cambridge Scholars Publishing. Retrieved from https://www.worldcat.org/title/new-language-technologies-and-linguistic-research-a-two-way-road/oclc/1066685724
Assignment 2/criticalthinking.docx
Running Head: ANALYSING AND VISUALISING DATA 1
Analyzing and Visualizing Data
Analyzing and Visualizing Data
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Pressure and rules plays a very vital role in ensuring that a person is more disciplined and through this there is generation of a person that can be in a position of working sytemativally and in a more syncronised manner. This is because ewith these rukles when people ae following them there will be no need for a person to be presently there but everything will be working as it is supposed to.
Pressures and rules also are very important in making sure that a person who is working in a team is disciplined. This is especially the one who maybe because of who he feels he is may not want to follow rules therefore it will be of importance if such pressures are put in place to ensure that rules have been followed.
When there is planning and innovation in the working area then there will be very minimal pressure which will be exerted on the workers. It is important that wporkers should be innovative so that they can make sure that they are coming up with new technologies which will ensure that work pressure is reduced in the working station. This is where the issue of creative and critical thinking will become of much importance, (Fuad, et al, (2017).
Reference
Fuad, N. M., Zubaidah, S., Mahanal, S., & Suarsini, E. (2017). Improving Junior High Schools' Critical Thinking Skills Based on Test Three Different Models of Learning. International Journal of Instruction, 10(1), 101-116.
Assignment 2/Datavisualization.docx
Running Head: DATA VISUALIZATION 1
DATA VISUALIZATION 2
Data Visualization
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Data visualization is the representation of data in a visual format. It is also the process of converting raw data into forms that can easily be read and interpreted by the viewer or the targeted audience (Bach et al., 2017). It is important to note that data visualization needs to be done correctly for it to be effective. The benefits of data visualization are that it enables individuals to grasp and clearly comprehend data with ease. Data visualization also makes it possible for the representation of large quantities of data which would otherwise be tedious and challenging to comprehend. There are a variety of tools that can be used by an individual during the process of data visualization. For example, charts which might include categorical, spatial, hierarchical, relational and temporal. However, in this article, we will discuss the temporal data visualizer’s category and discuss why I selected this data visualizer’s category.
An individual can categorize data into the temporal data visualization category if the following two aspects characterize the data. One is that the data is supposed to be linear and secondly, the data is supposed to be one dimensional (Kirk, 2016). Temporal visualization often includes lines that overlap and which have a starting and finishing time. The temporal visualization data also contains lines that stand on their own. Example of temporal data visualization is stream graph, tree rings and alluvial diagrams. The reason why I selected temporal data visualization for my discussion is because; temporal data visualization such as scatterplots can be used in showing the relationship between two different objects, secondly, they can be used to improve the readability and understanding through the addition of indicators. Lastly, temporal data visualization can be used to in tracking a single metric. To conclude, data visualization has become an integral part of individual’s life and for better and clearer understanding of data, visualization should be done correctly.
References
Bach, B., Dragicevic, P., Archambault, D., Hurter, C., & Carpendale, S. (2017, September). A descriptive framework for temporal data visualizations based on generalized space‐time cubes. In Computer Graphics Forum (Vol. 36, No. 6, pp. 36-61). Retrieved from https://onlinelibrary.wiley.com/doi/abs/10.1111/cgf.12804
Kirk, A. (2016). Data visualisation: A handbook for data driven design. Sage Publications.
Assignment 2/DataVisualizationWorkflowDiscussion.doc
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Running head: DATA VISUALIZATION WORKFLOW DISCUSSION |
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Running head: DATA VISUALIZATION WORKFLOW
DISCUSSION
Data Visualization Workflow Discussion
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Data Visualization Workflow Discussion
According to Kirk (2019), data visualization involves four stages which are “formulating your brief, working with data, establish your editorial thinking, and developing the design solution”. The stage that I shall explain is working with data since it enables the creation of an effective workflow. This stage involves collection of data, assessing the data to determine suitability, and preparation of data for the workflow. The stage is critical since it enables collection of factual data that can be used to present transparent visualizations.
The collection of raw material is the initial and important stage. It involves collecting data connected to the topic getting studied and arranging it in meaningful forms. The data can get acquired from the internet or through face-to-face encounters with the topic getting studied. It is possible to create graphs, charts, or maps using factual information gained through data visualization collection of data method.
The next step is observation of data to determine whether it is suitable and can produce expected outcomes. The data can get divided into groups that have similarity so that it is easier to create graphs or charts. The data can then get used to plot parameters that will later be used to draw the graphs, infographics, maps, or radial trees (Heitzman, 2019).
Working with data also involves determining the amount of data that shall be used to create the visuals chosen. This stage involves the analysis of the largest or lowest value of data in the chosen set. It is possible to form an overall understanding of how the visuals will get created.
The last step is to analyze the data to determine whether there is any missing data. This ensures the accuracy of the visuals that shall get created. The charts of graphs that shall be created are determined in this stage based on the amount and range of data applied.
Reference
Heitzman, A. (2019). Data Visualization: What It Is, Why It’s Important & How to Use It for SEO. Retrieved 12 January 2021 from https://www.searchenginejournal.com/what-is-data-visualization-why-important-seo/288127/
Kirk, A. (2019). Data Visualisation: A Handbook for Data Driven Design (2nd ed., pp. 31-58). London: Sage Publications.
