Course 2: Week 2 - Quantitative and Qualitative Data

Question 1

Quantitative data

Answer 1

• is all about the specific and objective measures of numerical facts. This can often be the what, how many, and how often about a problem.

Question 2

Qualitative data

Answer 2

• describes subjective or explanatory measures of qualities and characteristics or things that can’t be measured with numerical data, like your hair colour.
• Helps to contextualise quantitative data.

Question 3

Reports

Answer 3

• A report is a static collection of data given to stakeholders periodically.
• Is useful for data visualisation.

Question 4

Dashboard

Answer 4

A dashboard on the other hand, monitors live, incoming data
- Is live reflection of incoming data, you’ll want to design a dashboard. Dashboards are great for a lot of reasons, they give your team more access to information being recorded, you can interact through data by playing with filters, and because they’re dynamic, they have long-term value. If stakeholders need to continually access information, a dashboard can be more efficient than having to pull reports over and over

Question 5

A Metric

Answer 5

A metric is a single, quantifiable type of data that can be used for measurement.
- Data contains a lot of raw details about the problem we’re exploring. But we need the right metrics to get the answers we’re looking for.

Question 6

Data

Answer 6

Data starts as a collection of raw facts, until we organize them into individual metrics that represent a single type of data.

Question 7

Big data

Answer 7

Large, complex datasets typically involving long periods of time, which enable data analysts to address far-reaching business problems

Question 8

Cloud

Answer 8

A place to keep data online, rather than a computer hard drive

Question 9

Small Data

Answer 9

Small, specific data points typically involving a short period of time, which are useful for making day-to-day decisions

Question 10

Pivot table

Answer 10

A data summarization tool used to sort, reorganize, group, count, total, or average data