Introduction to R for Data Analytics

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15 Questions

What is R?

A free and open source programming language for statistical computing and graphics

How many packages are currently available in R?

Over 12000 packages

What type of data is described as strictly numeric and can be measured?

Quantitative (Numeric) data

What does a numerical summary provide an overview of?

$It provides an overview of quantitative data$

Why is R built?

$To handle and analyze data$

What is R primarily used for?

Statistical computing and graphics

How many packages are currently available in R?

Over 12000

What type of data is strictly numeric and can be measured?

Quantitative

What does a numerical summary provide an overview of?

Data without examining all values

Which companies use R for statistical analysis?

$ ext{Microsoft}$, $ ext{Google}$, $ ext{Facebook}$

What is the primary use of R?

Statistical computing and graphics

How many packages are currently available in R?

Over 12000

What types of data are considered qualitative (categorical)?

Descriptions or groups, observed and not measured

What does a numerical summary provide an overview of?

Data to help understand it without examining all data values

Why is R built?

To handle and analyze data

Learn about R, a free and open source programming language widely used for statistical computing and graphics. Understand its popularity in academia and industry, and explore the multitude of packages available for statistical analysis.

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