6.1.4.Weekly challenge 1 - sj50179/Google-Data-Analytics-Professional-Certificate GitHub Wiki
Weekly challenge 1
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Question 1
A data analyst wants to create a visualization that demonstrates how often data values fall into certain ranges. What type of data visualization should they use?
Line graphScatter plotCorrelation chart- Histogram
Correct. To demonstrate how often data values fall into certain ranges, the data analyst should use a histogram.
Question 2
A data analyst notices that two variables in their data seem to rise and fall at the same time. They recognize that these variables are related somehow. What is this an example of?
- Correlation
VisualizationCausationTabulation
Correct. When a data analyst notices that two variables rise and fall at the same time, this is an example of correlation. Correlation is the measure of the degree to which two variables change in relationship to each other.
Question 3
Fill in the blank: A data analyst creates a presentation for stakeholders. They include _____ visualizations because they want them to be interactive and automatically change over time.
geometricaesthetic- dynamic
static
Correct. They include dynamic visualizations. Dynamic visualizations are interactive and can automatically change over time.
Question 4
While creating a chart to share their findings, a data analyst uses the color red to make important data stand out and separate it from the rest of the visualization. Which element of effective visualization does this describe?
Clear meaningRefined execution- Sophisticated use of contrast
Subtitles
Correct. A data analyst using color to make important data stand out and separate it from the rest of the visualization is an example of sophisticated use of contrast. Sophisticated use of contrast helps separate the most important data from the rest using visual context.
Question 5
A data analyst makes sure that they approach problems in a user-centric way. What element of data analytics does this describe?
Structured thinking- Design thinking
Critical thinkingAnalytical thinking
Correct. Design thinking is a process used to solve complex problems in a user-centric way.
Question 6
Fill in the blank: During the _____ phase of the design process, you start to generate data visualization ideas.
- ideate
testempathizedefine
Correct. There are five phases of the design process: empathize, define, ideate, prototype, and test. During the ideate phase of the design process, you start to generate data visualization ideas.
Question 7
A data analyst wants to make their visualizations more accessible by adding text explanations directly on the visualization. What is this called?
Distinguishing- Labeling
SimplifyingSubtitling
Correct. This is labeling. Labeling data directly instead of relying on legends can make data visualizations more accessible.
Question 8
Distinguishing elements of your data visualizations makes the content easier to see. This can help make them more accessible for audience members with visual impairments. What is a method data analysts use to distinguish elements?
Use contrasting colors and shapesAdd a legendEnsure all elements are highlighted equally- Separate the foreground and background
Correct. Data analysts distinguish elements of data visualizations by separating the foreground and background and using contrasting colors and shapes.