Question

Which of the following types of data can be easily accessed and analyzed when using descriptive, predictive, and prescriptive data analytics techniques?

a. Structured data
b. Unstructured data
c. Nominal Data
d. Categorical Data

Answer 1

Structured data is best suited for analysis using descriptive, predictive, and prescriptive analytics techniques. The number of times per week is quantitative discrete data, duration is quantitative continuous, and house colors represent qualitative categorical data.

Step-by-step explanation:

The type of data that can be easily accessed and analyzed using descriptive, predictive, and prescriptive data analytics techniques is primarily structured data. Structured data is organized in a format that can be easily entered, queried, and analyzed by data analytics software. On the other hand, unstructured data requires more preprocessing to structure the data before analysis.

Regarding the survey questions from the exercise:

• The number of times per week is quantitative discrete data because it represents a count of occurrences that cannot be fractionally measured.
• The duration (amount of time) is quantitative continuous data as it can potentially take on any value within a given range, including fractions.
• Qualitative data, such as the colors of the houses around the park, are categorical in nature and are described by words rather than numbers.

Therefore, both nominal and categorical data are types of qualitative data, which are integral to descriptive analytics but can be challenging for predictive and prescriptive analytics without proper coding or transformation into a structured form.

Answer 2

The types of data that can be most easily accessed and analyzed with descriptive, predictive, and prescriptive analytics are structured data, which is organized in a fixed format. 'Number of times per week' is an example of quantitative discrete data, while 'duration' represents quantitative continuous data.

Step-by-step explanation:

The question concerns the types of data that can be easily accessed and analyzed using descriptive, predictive, and prescriptive data analytics techniques. The correct answer is a. Structured data, which consists of highly organized information that is readily searchable within databases or other data systems. Structured data fits into tables and spreadsheets in a fixed schema and is the easiest type of data for these analytical methods to utilize. Some examples of structured data are Excel files, SQL databases, and numbers or categories that have a clear definition, like 'a number of times per week' or 'duration (amount of time)'.

For the SEO keywords given, the term 'number of times per week' corresponds to quantitative discrete data, which is data that can be counted in integer values. 'Duration (amount of time)' correlates with quantitative continuous data, which can be measured and can take on any value within a given range. Finally, 'qualitative (categorical)' data represents non-numeric data that is used to categorize or describe attributes of a population such as colors or types.