An analyst has been tracking company intranet usage and has been asked to create a chat to show
the most-used/most-clicked portions of a homepage that contains more than 30 links. Which of the
following visualizations would BEST illustrate this information?
Correct Answer: B
Explanation:
This is because a heat map is a visualization that uses colors to represent different values or
intensities of a variable. A heat map can be used to show the most-used/most-clicked portions of a
homepage that contains more than 30 links by assigning different colors to each link based on how
frequently they are clicked by the users. For example, a link that is clicked very often can be colored
red, while a link that is clicked rarely can be colored blue. A heat map can help the analyst to identify
which links are more popular or important than others on the homepage. The other visualizations
are not as effective as a heat map for this purpose. Here is why:
A scatter plot is a visualization that uses dots or points to represent the relationship between two
variables. A scatter plot cannot show the most-used/most-clicked portions of a homepage that
contain more than 30 links because it does not have a clear way of mapping each link to a point on
the graph.
A pie chart is a visualization that uses slices or sectors to represent the proportion of each category in
a whole. A pie chart cannot show the most-used/most-clicked portions of a homepage that contains
more than 30 links because it does not have enough space to display all the categories clearly and
accurately.
An infographic is a visualization that uses images, icons, charts, and text to convey information or tell
a story. An infographic cannot show the most-used/most-clicked portions of a homepage that contain
more than 30 links because it does not have a consistent or standardized way of representing each
link and its click frequency.
Question 2
Which of the following would be the BEST technique for the analyst to apply to acquire the data?
Correct Answer: A
Explanation:
This is because web scraping is a technique that allows the analyst to extract data from web pages,
such as articles from a digital news outlet. Web scraping can be done using various tools and
methods, such as Python libraries, browser extensions, or online services. The other techniques are
notsuitable for acquiring data from web pages. Here is why:
Sampling is a technique that involves selecting a subset of data from a larger population, usually for
statistical analysis or testing purposes. Sampling does not help the analyst to acquire data from web
pages, but rather to reduce the amount of data to be analyzed.
Data wrangling is a technique that involves transforming and cleaning data to make it suitable for
analysis or visualization. Data wrangling does not help the analyst to acquire data from web pages,
butratherto improve the quality and usability of the data.
ETL stands for Extract, Transform, and Load, which is a process that involves moving data from one or
more sources to a destination, such as a data warehouse or a database. ETL does not help the analyst
to acquire data from web pages, but rather to store and organize the data
Question 3
Which of the following is an example of a at flat file?
Correct Answer: D
Demo Practice Mode
You are viewing only the questions marked as Demo.