In four stages of data visualization is developing your design solution which involves several procedures to develop your design to represent the data.
Respond to the two classmates in 70 words each
Figure: 2.11 – “Asia Loses Its Sweet Tooth for Chocolate”
The comment that I want to provide here is actually about the design that has been used for plotting the values related to the rising prices of chocolate in China. The bar chart and line graph have been used here to visualize the data in the system and separately identify the values in the system. The demand for cocoa in China has been plotted with the help of a bar graph and how the separation of the components that have been used for making the chocolate in the system (Kirk, 2016). In another bar chart, there has been mentioned about the promotion of getting the investors for developing the chocolate in China in a better way and this happens when seeing the outlook with the help of pushing down the prices has been plotted with the help of line graph so that the design could be understood by the others.
From my perspective, I want to share some thought process that would actually involve the importance of using the visualization of data in this situation as with the help of these two graph format, we could be able to understand the incident of products of rising and the falling price of chocolates in the market. Effectively in the situation would be increased by seeing the concept implemented properly in the system. Involving some of the other visualization techniques would increase the efficiency of the things that are seen in the system. The flexibility in the selling procedure would increase with the involvement of this graph design properly done.
Figure: 4.7 – “What Good Marathons and Bad Investments Have in Common
The annotations that would be actually included when it comes to discussing the chart design that could be seen here is about the spike charts which mentions about the distribution of marathon that has been finished within some time period by the people in how many times and time-related to this situation (Kirk, 2016). The importance of taking this example here for the purpose of mentioning the arbitrary goals of the people when getting the motivation from the people who involve in the marathon and with that, the variation in the spikes could be found in the graph design. The perspective that I want to share here is actually about the situation that I have faced by getting the information related to the data that has been visualized in the system.
There is always a better chance of having a profit from the perspective of the graph that has been mentioned to measure the procedure in the system. This is actually the incident that is needed to be installed by every organization to move the action with respect to the situation in the system. The main thing that is seen to be enhanced here is actually about the significant role that has been played by the annotations in the system. This is actually the main intention of the organization to get the numbers plotted properly in the system. Developing the thought process in the system actually makes the difference in getting proper results in the system with the angle of the spikes utilized in the graph design.
In four stages of data visualization is developing your design solution which involves several procedures to develop your design to represent the data. They are
Interactivity
Annotation
Color
Composition
In this discussion, we are talking about Annotation which defines how to read the visual data by viewers. It also presents data visualization in an intuitive and perceptive way. As the author says the annotation design exists across two main groups.
Project annotations.
Chart annotations.
Project annotations:
These types of annotations mainly explain the project, its business theme and why it’s used for.
Chart annotations:
These types of annotations mainly explain the chart or plot, it’s inter-activities and visual actions.
These type of annotations helps the audiences to understand the background function, readability of data and purpose of the project.
It involves Headings (titles, subtitles, subheadings, section headings and chart titles), introductions, multimedia (videos, images), footnotes (credits, attributions, time/date stamps). These help to attract the viewer’s attention.
Figure 8.16” US Gun Deaths” by Periscopic:
In this figure
The heading title explains the total US gun deaths in two different two years.
The color differentiates the total number of years they survive, and the total number of years life span is stolen.
Different plots with different subtitles, subsections explain more information about the deaths caused and different sources where the information is from.
Quantitative and qualitative information gives a straightforward detail about the data.
The credits of the data visualization are provided by the periscopic.
The interactions on this figure help the viewers to overlay or interact with different interactions to analyze the data from different angles or ways such as sex, gun type, etc.
The images are shown below where the users’ or viewer’s feedback or valuable comments or updates of new information can also be gathered by using social media like Facebook and Twitter.
Figure 8.16” Forbes: The world’s 100 highest paid athletics”:
The heading title explains about world’s 100 highest paid athletics in both.
The chart titles differentiate genders.
Section heading explains the how the pay as been grouped.
The color-coding gives straight point information about the highest-paid athletic.
The images with color-coding give about which athletic is belonged to which group of pay.
The credits and sources are stated in footnotes.
Enhancements in both figures:
Dark color as good for visualization, light colors gives stress to the viewers.
The information shown in the two figures is cluster and hard to point out where exactly the user is?
By grouping, the information based on age, gender, type, etc. will helps viewer to analyze in an easy way.
Answer preview to in four stages of data visualization is developing your design solution which involves several procedures to develop your design to represent the data.
APA
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