JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD
JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD B.Tech III INTRODUCTION TO ANALYTICS (ASSOCIATE ANALYTICS I) Previous Question Paper (February - 2023 - R16)
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
Define R data frame. Give example.
Answer
An R data frame is a two-dimensional, table-like data structure used to store data where each column can contain different types of data (e.g., numeric, character, or logical), but every column must have the same number of rows. It is the most common data structure for storing datasets in R, functioning similarly to a spreadsheet or a SQL table.
Example:
df <- data.frame(ID = c(1, 2), Name = c("Alice", "Bob"), Age = c(25, 30))List various data types in R.
Answer
R supports several fundamental data types used to store information. The primary data types are:
- Numeric: Represents real numbers, including both integers and decimals (e.g., 10.5, 42).
- Integer: Represents whole numbers, explicitly defined by appending an 'L' to the value (e.g., 5L).
- Character: Represents text or string data, enclosed in single or double quotes (e.g., "Analytics").
- Logical: Represents boolean values, consisting only of TRUE, FALSE, or NA.
- Complex: Represents numbers with an imaginary component, written with an 'i' suffix (e.g., 2+3i).
- Raw: Used to hold raw bytes of data, typically represented as hexadecimal values.
Name any 4 bivariate methods and its uses in statistics.
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Explain how data is summarized in R.
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Elucidate NOSQL databases.
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Compare SQL and NOSQL.
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Define a statistical model. Give examples.
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What is heteroscedasticity?
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Name the 5Vs of data analytics.
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What are the data analytics methods that could be used to predict the Gold price for the next year?
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Part B
Give an account on outliers? How are they handled with R functions? Give example.
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File handling in R
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Matrix in R.
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Elaborate on population and theoretical distributions.
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Scatter plots
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Central limit theorem.
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With code explain the process of connecting different file types and NoSQL databases to R.
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Brief on Multivalue NoSQL databases
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Handling unnormalized data in NoSQL database.
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Enumerate the types of regression. Explain them with example.
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Discuss Autocorrelation with example
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Forecasting methods.
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Explain various phases in the process of understanding a system.
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Explain requirements gathering process in detail.
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