Jawaharlal Nehru Technological University Hyderabad
Jawaharlal Nehru Technological University Hyderabad B.Tech III INTRODUCTION TO DATA SCIENCE Previous Question Paper (January/February - 2023 - R18)
Note: i) Question paper consists of Part A, Part B.
ii) Part A is compulsory, which carries 25 marks. In Part A, Answer all questions.
iii) In Part B, Answer any one question from each unit. Each question carries 10 marks and may have a, b as sub questions.
Part A
What is R Software?
Answer
R is an open-source programming language and software environment specifically designed for statistical computing, data analysis, and graphical representation. It provides a wide variety of statistical and graphical techniques and is highly extensible through user-created packages.
What is the difference between database and big data?
Answer
A database is a structured collection of data typically managed by a Relational Database Management System (RDBMS) using SQL, suitable for transactional processing. Big data refers to datasets that are so voluminous, fast-moving, or complex (the three Vs: Volume, Velocity, Variety) that traditional data processing software cannot manage them, requiring specialized distributed computing frameworks like Hadoop or Spark.
Give an example for nominal attribute.
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What is the inter-quartile range and how is it calculated?
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Define an array.
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What are ordered factors in R?
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Give the syntax of ‘for’ loop and ‘while’ loop in R.
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Present a short note on nested functions in R.
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Write a short note on a regression model.
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What is the need of attribute subset selection technique?
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Part B
Compare population with sample.
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Describe the concept of datafication.
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How to create an R environment and run RStudio? Explain.
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Give a brief summary on graphic display of basic statistical description of data.
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Differentiate between discrete and continuous attributes.
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Classify the various common measures of central tendency and briefly explain them.
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Explain how to convert lists to vectors.
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Examine if a factor is an ordered factor or not in R programming with an example.
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Explain how to sort dataframes in R programming.
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Describe how to create and name the vectors.
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Explain the following terms in R:
Relational operators and vectors.
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Conditional statement.
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Write R code for sum of series using recursion.
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Describe looping statements in R.
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Write short notes on data cube aggregation.
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Describe the icon-based visualization techniques.
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Explain the following terms:
Principal components analysis
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Visualizing complex data.
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