Answer:
The correct answer is: 2. Good data visualization is trustworthy. 3. Good data visualization is elegant. 4. Good data visualization is accesible.
Explanation:
1. Data visualization has to be trustworthy: The information has to be honest and real. Sometimes, people try to exaggerate the information they've found by creating visualizations that don't reflect reality.
2. Data visualization is elegant. Data visualization needs to have an aesthetic aspect to it. Data per se is boring and may not captivate the audience, so data visualization has to be interesting to look at.
3. Data visualization is accessible: There's a cognitive bias where someone is presenting a certain topic, and it's the tendency to think that the audience knows about the topic that you are speaking with the same level of expertise, and thus sometimes the data that the speaker shows is very complex or intricate for the audience to understand. To avoid this mistake, the data visualized has to be clear and accessible to anyone seeing the presentation.
Answer:
Women in United States in the early 1800s were expected to bear as many childs as they possibly could. Nowdays it's not generally expected for a 21-year-old girl to have many kids. This is related to the socioeconomic context of each times: in the 1800s infant mortality rates were much higher than nowdays.
Explanation:
Explained above.
The as-is process model could be identified as a business model where they focus more on representing or showing processes in business and enterprise. They have a business objective in order to achieve the goals that they want for their company or organization. But, the as-is process model's primary goal is to simplify the methods, eliminate unwanted factors or things that could interfere with their goals or methods, and lastly, to improve the to-be process which is essential in having the process model.
Answer: Comforts
Explanation: I got it right and it said in the text what they all need.