111 Questions
Which programming language is used in this subject?
R
Where can you find the lecture slides?
On the subject homepage
Which textbook is recommended for this subject?
Data Analysis with R
When is the consultation time for the lecturer?
Wednesday 01:00 PM-02:00 PM
What are the prerequisites for this subject?
Both CSE4DBF and MAT4NLA
Which room is Lab-3 held in?
BG-104
Which of the following is a key goal of the subject CSE5DEV?
To equip graduate students with practical knowledge of data exploration techniques
What are the process steps in data exploration and analysis also known as?
Problem Solving
What is the first step in problem solving?
Identifying a problem
What is the main objective of data exploration projects?
To uncover the structure of the data
What is the purpose of data cleaning and normalization?
To prepare data for analysis
Which stage of the data science project involves exploring the data?
Stage 3: Explore the data
What is the difference between manual tools and automation tools for data exploration?
Automation tools require programming knowledge
Which assignments are required in this subject?
Both Assignment 1 and Assignment 2
What percentage of the final mark is Assignment 1 worth?
15%
What percentage of the final mark is Assignment 2 worth?
25%
What is the equation for the arithmetic and partial sum simplifications?
$P_n = \sum_{i=0}^{n} = 2n + 2$
What is the requirement for passing this subject?
Accumulate at least 50% over all forms of assessments
Where can you watch the recorded lectures if you cannot attend them?
Subject Homepage: LMS
What is the focus of the labs?
Application
Which programming language is ranked #1 in the KDnuggets 2016 poll on Top Analytics and Data Science software?
R
What is the purpose of a flowchart in programming?
To graphically describe the steps in a program
What are the three steps performed by a computer program?
Take Input(s), Perform Process, Produce Output(s)
What is the average of two numbers, num1 and num2, in R programming?
$\text{Average} = \frac{\text{num1} + \text{num2}}{2}$
What are the steps required to use R in CSE5DEV Labs?
Install R Programming language and RStudio
What is the purpose of RStudio in R programming?
An integrated development environment (IDE) for writing R codes
What is the purpose of the CRAN Task Views in R programming?
To provide collections of packages for different tasks
What is the purpose of the R Language Definition in R programming?
To provide documentation on the R language
What is the purpose of R in CSE5DEV Labs?
To perform statistical computing and graphics
Which section of the syllabus covers the basics of R programming?
Section 3
What is the purpose of data exploration and analysis projects?
To explore the data
Which stage of the data science project involves communicating the results?
Stage - 4 Communicate the results
What is the first step in problem solving?
Identify the problem
What is the purpose of data cleaning and normalization?
To clean and normalize the data
Which programming language is commonly used in data science and analysis projects?
Python
What is the purpose of RStudio in R programming?
To write and run R code
What is the goal of a data science project?
To estimate or solve a problem
What is the equation for arithmetic and partial sum simplifications?
a = b + c
Which section of the syllabus covers data collection?
Section 2
Which section of the CSE5DEV syllabus covers the basics of R programming?
Section 3
What is the purpose of data collection?
To evaluate outcomes
What are the two main categories of data?
Experimental and observational
Which of the following is an example of qualitative data?
Grades (A, B, C)
What type of data is represented by the value 3.3?
Continuous numeric
Where can data be obtained from?
All of the above
In which format can data be stored?
All of the above
What is the purpose of data exploration and analysis techniques in R programming?
To analyze and explore data
Which type of data is collected from strictly controlled experiments?
Experimental data
What is the main difference between experimental and observational data?
Observational data is collected from real-world settings
Which of the following is NOT a data type in R programming?
Boolean
What is the first step in importing data into R environment?
Write R codes to import data into RStudio environment
Which file format is NOT supported for data importing in R programming?
PDF files
What is the purpose of RStudio in R programming?
To write and run R code
What is the syntax for the R reading function?
ReadData(object_name)
Which section of the syllabus covers the basics of R programming?
Section 3: Basics of R Programming
What is the purpose of data exploration in R programming?
To understand and analyze the data
Which step is NOT involved in data collection?
Analyzing the data
What is the purpose of R programming software?
To write and run R code
Which file format is NOT mentioned as a possible source for data importing in R programming?
Which file format is NOT mentioned as a possible source for data importing in R programming?
name.PDF
What is the purpose of RStudio in R programming?
To write and run R code
What are the steps required to import data into R environment?
Step 1: Write R codes to import data into Rstudio environment, Step 2: View the data
Which of the following is NOT a data type in R programming?
Boolean
What is the purpose of data cleaning and normalization?
To clean and prepare data for analysis
What is the purpose of data exploration and analysis projects?
To gain insights and make informed decisions
Which section of the syllabus covers the basics of R programming?
Section 3: Basics of R Programming
What is the purpose of the R Language Definition in R programming?
To define the syntax and semantics of the R language
What is the first step in importing data into R environment?
Step 4: Write R codes to import data into Rstudio environment
What is the purpose of a flowchart in programming?
To visualize the logical flow of a program
Which section of the syllabus covers data exploration and analysis techniques in R programming?
Section 4: Data Exploration and Analysis
What are the stages involved in a data science project?
Stage 1: Identify the problem, Stage 2: Collect & Prepare the data, Stage 3: Explore the data, Stage 4: Communicate the results
What is the purpose of data cleaning and normalization in a data science project?
To convert data into a standard format
Which programming language is used in the CSE5DEV Labs?
R
What is the main goal of data exploration projects?
To identify patterns and relationships in the data
What are the three main steps involved in using R in the CSE5DEV Labs?
Install R and RStudio, Create Rmarkdown file, Write and run basic codes
Which stage of the data science project involves exploring the data?
Stage 3: Explore the data
What is the purpose of RStudio in R programming?
To write and run R code
What is the difference between manual tools and automation tools for data exploration?
Manual tools require human intervention, while automation tools automate the data exploration process
Which section of the syllabus covers the basics of R programming?
Section 3: Basics of R Programming
Which section of the syllabus covers the basics of R programming?
Section 3: Basics of R Programming
What is the purpose of data collection?
To learn more about customers, items, and products
What is the difference between qualitative and quantitative data?
Qualitative data describes something, while quantitative data is numerical
What are the different types of data values?
Numeric, Categorical, Date, Text, Time series
What is the main category of data obtained from strictly controlled experiments?
Experimental data
What is the main category of data collected from real-world settings without control over the captured phenomena?
Observational data
What is the purpose of data cleaning and normalization?
To improve the quality of the system
Which programming language is ranked #1 in the KDnuggets 2016 poll on Top Analytics and Data Science software?
R
What are the steps required to import data into R environment?
Import the data into R environment, explore and analyze the data, clean and normalize the data
What percentage of the final mark is Assignment 1 worth?
25%
Which section of the syllabus covers the basics of R programming?
Section 3: Basics of R Programming
What is the purpose of data exploration and analysis techniques in R programming?
To discover trends and patterns in the data
What is the difference between qualitative and quantitative data?
Qualitative data describes something, while quantitative data is numerical
What are the two main categories of data?
Experimental and observational
What is the purpose of RStudio in R programming?
To explore and analyze data
Which programming language is used in this subject?
R
What is the purpose of data cleaning and normalization?
To improve the quality of the data
What is the goal of a data science project?
To discover trends and patterns in the data
What is the purpose of the CRAN Task Views in R programming?
To provide a curated list of R packages for specific tasks
What is the purpose of the R Language Definition in R programming?
To provide a detailed specification of the R language
Which section of the CSE5DEV syllabus covers data exploration and analysis techniques in R programming?
Section 4: Data Exploration and Analysis
What is the first step in importing data into the R environment?
Collect & Prepare the data
What is the purpose of data cleaning and normalization in a data science project?
To clean and transform the data
Which section of the syllabus covers the basics of R programming?
Section 3: Basics of R Programming
What is the purpose of data cleaning and normalization?
To answer relevant questions and evaluate outcomes
Which file format is NOT supported for data importing in R programming?
HTML
What is the main category of data collected from real-world settings without control over the captured phenomena?
Observational data
Which of the following is NOT a data type in R programming?
Images
What are the three main steps involved in importing data into R environment?
Import the data, view the data, access the data
Which file format is NOT mentioned as a possible source for data importing in R programming?
What is the purpose of RStudio in R programming?
To write R code
Test your knowledge on data exploration techniques and tools in this quiz for graduate students. Assess your understanding of data types, notations, and analysis steps to find practical solutions to real-world problems.
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