Effective data visualization can be considered a form of:Data encryptionData compressionData storytellingData manipulation
Question
Effective data visualization can be considered a form of:
- Data encryption
- Data compression
- Data storytelling
- Data manipulation
Solution
Effective data visualization can be considered a form of Data storytelling.
Here's why:
-
Data encryption is the process of converting data into a code to prevent unauthorized access. This doesn't have much to do with visualization.
-
Data compression is the process of reducing the size of a data file, which also doesn't relate to visualization.
-
Data storytelling, on the other hand, involves presenting data in a way that tells a story. This is often done through data visualization, where complex data is presented in a graphical or pictorial format that's easy to understand and interpret.
-
Data manipulation involves changing data to make it easier to read or process, which is not the primary goal of data visualization. While data visualization can involve some data manipulation (like cleaning up the data to prepare it for visualization), the main goal is to present the data in a way that tells a story, not just to change or manipulate the data.
Similar Questions
Discuss the key characteristics of effective data visualizations that make them clear, informative, and impactful
Data presentation is about using the same information to exhibit it in an attractive and useful way that can be read and interpreted easily*2 pointsTrueFalse
What type of data visualization might an analyst create in order to communicate data insights to others? Select all that apply.1 pointGraphChartMapReport
In which data analysis phase would a data analyst use visuals such as charts or graphs to simplify complex data for better understanding?
a) Explain the following terms giving examples:i)data,ii)big data,iii)data visualization,iv)multidimensional data visualization [8]
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.