Important RGPV Question
AL 603 (B) Data and Visual Analytics
VI Sem, AIML
UNIT 1-Data Definitions and Analysis Techniques
Q.1) What are measures of central tendency? Describe in detail.
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Q.2) Describe measures of location of dispersions in detail.
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Q.3) Explain various levels of measurements in detail.
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Q.4) What are statistical inferences? Explain different statistical inferences in detail.
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Q.5) Explain about Data Management and Indexing.
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Q.6) What do you mean by measures of Central Tendency? Explain.
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Q.7) Define Variables and discuss about data categorization.
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Q.8) How do you calculate Chi-Square test? Explain with an example.
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UNIT 2-Advance Data Analysis Techniques
Q.1) What is Multivariate analysis? Describe in detail.
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Q.2) What is Chi Square Test? Describe in detail.
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Q.3) We have the potato yield from 12 different farms. We know that the standard potato yield for the given variety is .
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Test if the potato yield from these farms is significantly better than the standard yield. Apply t-test.
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Q.4) What is Regression Analysis? Explain simple and multiple regression with example.
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Q.5) What is Bayesian modelling? How it works? Describe its advantage and disadvantages.
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Q.6) Describe maximum likelihood test in detail.
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Q.7) Explain different types of variables used in Regression Modeling.
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Q.8) Discuss in detail about Maximum likelihood test with an example.
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Q.9) What do you understand by Multivariate Exploration of Data? Explain.
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Q.10) Briefly discuss about Univariate Exploration of data.
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UNIT 3-Data Wrangling
Q.1) What do you mean Data Wrangling? Explain Data Wrangling process in detail.
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Q.2) What is data visualization? Explain Univariate, Bivariate and Multivariate Exploration of Data.
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Q.3) Discuss in detail about Data Wrangling.
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Q.4) How to create your Own Visualization of a complex data set? Explain.
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Q.5) Briefly discuss about Pandas in Python.
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UNIT 4- Data Ecosystem
Q.1) Describe the different types of file formats in detail.
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Q.2) What is Big Data? Explain various big data processing tools in detail.
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Q.3) Explain in detail about HDFS.
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Q.4) What do you understand by Data Analyst Ecosystem? Explain.
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Q.5) Explain different types of File Format.
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UNIT 5-Data Visualization Tools
Q.1) Describe different Python visualization libraries in detail.
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Q.2) What is PowerBI? Describe different PowerBI tools in detail.
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Extra Questions-
Q.1) Write short notes on any Two:
a) ggplot
b) Re-Sampling
c) T-test
d) Hive
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— Best of Luck for Exam —
