Worksheetsr lab
Total questions: 15
Worksheet time: 8mins
In 1991, R was created by Ross Ihaka and Robert Gentleman in the Department of Statistics at the University of _________
a) John Hopkins
b) California
c) Harvard
d) Auckland
R is technically much closer to the Scheme language than it is to the original _____ language.
a) B
b) C
c) C++
d) S
Which of the following describes R language?
a) Free
b) Paid
c) Available for free trial only
d) Testing
Which of the following is NOT a feature of R?
A. It is open-source and free
B. It provides tools for data visualization
C. It is mainly used for web development
D. It supports various statistical techniques
What is one key reason R is widely used in data science?
A. It runs only on Windows
B. It is a proprietary language
C. It supports machine learning and statistical techniques
D. It is mainly for database management
What is the primary purpose of the R programming language?
A. Building mobile applications
B. Designing websites
C. Statistical computing and graphical presentation
D. Developing video games
Which of the following is the first step in a data science project?
a) Modeling
b) Data Cleaning
c) Problem Definition
d) Data Visualization
Which of the following is NOT part of the data science lifecycle?
a) Data Preparation
b) Deployment
c) Marketing Strategy
d) Modeling
Which Python library is used for data manipulation?
a) NumPy
b) Matplotlib
c) Pandas
d) Seaborn
Which library is used for numerical computation in Python?
a) Scikit-learn
b) NumPy
c) Pandas
d) Matplotlib
In how many ways can you analyze data in Data Science?
2
3
4
7
What is the primary goal of data visualization?
a) Clean data
b) Hide patterns
c) Make data analysis slower
d) Communicate insights clearly
The process of discovering patterns in large data sets is known as (a) .
Hadoop is written in which programming language?
a) C++
b) Java
c) Python
d) Scala
What does the term "Datification" refer to?
a) Encrypting all digital files
b) Deleting old data records
c) Turning human behaviors and activities into data
d) Compressing large files for storage
