Jawaharlal Nehru Technological University Hyderabad
Jawaharlal Nehru Technological University Hyderabad B.Tech III INTRODUCTION TO ANALYTICS (ASSOCIATE ANALYTICS I) Previous Question Paper (August/September - 2024 - 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
What is structured array? Give example.
Answer
A structured array is a NumPy array where each element can contain multiple fields of different data types, allowing it to behave like a C-style struct or a database record. Example:
What are the challenges in analysis of data?
Answer
Key challenges in data analysis include:
- Data Quality: Dealing with missing, inconsistent, or noisy data.
- Scalability: Processing massive volumes of data (Big Data) efficiently.
- Complexity: Integrating unstructured data from diverse sources and ensuring data privacy/security.
Define sample space.
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Calculate clear statistics for random variables.
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What is R connector?
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What are the benefits of NOSQL databases?
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How correlation is used for data analysis?
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What is regression? Explain it briefly.
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What is business intelligence?
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What are problems related to a business?
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Part B
Explain data sets in R with their syntax and example.
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Discuss the R studio in detail.
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How do you find outliers in R explain with an example?
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Write a R program for matrix multiplication.
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What is summarization of data? Explain different methods of summarizations in R.
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Elaborate on population and theoretical distribution.
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What is probability function. Calculate probability for n*(n-1) functions.
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Discuss the various forms of nonverbal communication in data analytics in detail.
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Explain the role of NoSQL in data analytics using an example.
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Write about stored procedures in NOSQL. Explain with examples.
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Differentiate between data integrity and data manipulator.
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How database connector is used to R-integrity?
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What is the relationship between covariance and correlation coefficient. How they can be computed in R?
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Give the importance of correlation for prediction.
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Explain about Heteroscedasticity and auto correlation.
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Enumerate the types of regression. Explain them with example.
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Explain about automated mechanism design.
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Write an optimality function for a close loop system.
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Compare and contrast the manufacturing and production activities.
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Explain in detail about SMART utilities.
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