decisions, decisions: dashboards and reports coursera weekly challenge 3 answers
Weekly challenge 3
1. There are four key questions business intelligence professionals ask when designing a dashboard. One is, “How many charts are required?” What are the other three? Select all that apply.
- How can the dashboard be designed in order to include as much fine detail as possible?
- Which measures and dimensions will be represented in each chart?
- Which parts of the dataset will make it possible to address the business requirement?
- Which chart types and forms of encoding will be most effective?
2. What are the risks of including numerous visualizations in a dashboard? Select all that apply.
- Enable long-term monitoring
- Empowering users to interpret the data on their own
- Overwhelming the user
- Slowing down the dashboard
3. Fill in the blank: When conducting long-term monitoring, larger dashboards will likely require more context in order to make the data _____ for users.
- accessible
- dynamic
- visually pleasing
- understandable
4. Fill in the blank: It is important to establish _____ for different views in a live-monitoring dashboard in order to give users the ability to drill down to the information that is relevant to them.
- partitions
- business rules
- legends
- use cases
5. Fill in the blank: In a dashboard, it is helpful to build in _____ that enables users to follow the data’s evolution, rather than isolated snapshots of the latest information.
- encoding
- conformity
- tracking
- mapping
6. Fill in the blank: When creating a dashboard, implementing _____ is beneficial because it helps users understand why the data in the dashboard is useful.
- comparisons
- patterns
- indexes
- updates
Shuffle Q/A
7. Fill in the blank: When conducting long-term monitoring, larger dashboards will likely require more _____ in order to make the data understandable for users.
- context
- color
- datasets
- privacy permissions
8. What are the benefits of implementing comparisons when creating a dashboard? Select all that apply.
- It helps predict future performance based on a single moment in time
- It provides insights about an independent datapoint based on one criteria
- It helps users interpret whether the visualizations indicate good or bad performance
- It quickly enables users to understand why the data in the dashboard is useful
9. Fill in the blank: Including more visualizations in a dashboard enables more data to be displayed, but this may _____ or slow down the dashboard.
- change the data over time
- overwhelm the user
- speed up the dashboard
- empower users to interpret the data on their own
10. Fill in the blank: It is important to establish use cases for different _____ in a live-monitoring dashboard in order to give users the ability to drill down to the information that is relevant to them.
- mockups
- views
- hardware
- aesthetics
