Podcast
Questions and Answers
Which stage involves identifying the problem or question in a data science project?
Which stage involves identifying the problem or question in a data science project?
- Stage - 1 (correct)
- Stage - 2
- Stage - 3
- Stage - 4
What are the stages involved in a data science project?
What are the stages involved in a data science project?
- Data Collection, Data Normalization, Data Analysis, Data Reporting
- Identify the problem, Collect & Prepare the data, Explore the data, Communicate the results (correct)
- Data Collection, Data Wrangling, Data Exploration, Data Cleaning
- Data Collection, Data Visualization, Data Analysis, Data Presentation
Which lecture covers Data Cleaning & Normalization in the syllabus?
Which lecture covers Data Cleaning & Normalization in the syllabus?
- Lecture 4 (correct)
- Lecture 1
- Lecture 3
- Lecture 2
Which type of attribute represents quantities with meaningful ratios between their values?
Which type of attribute represents quantities with meaningful ratios between their values?
Which type of attribute represents quantities that have meaningful difference between their values but no multiplicative relations?
Which type of attribute represents quantities that have meaningful difference between their values but no multiplicative relations?
Which type of attribute represents quantities with some order, but don't specify an exact quantity?
Which type of attribute represents quantities with some order, but don't specify an exact quantity?
Which type of attribute represents attributes that just specify names without any particular order or relation between them?
Which type of attribute represents attributes that just specify names without any particular order or relation between them?
Which of the following is NOT a learning outcome of the course?
Which of the following is NOT a learning outcome of the course?
What are the different data formats mentioned in the course?
What are the different data formats mentioned in the course?
What is data wrangling?
What is data wrangling?
What type of representation will be used in CSE5DEV labs?
What type of representation will be used in CSE5DEV labs?
Which function can be used to check whether all entries of a logical vector are TRUE?
Which function can be used to check whether all entries of a logical vector are TRUE?
Which operator can be used to combine two or more conditions element-wise?
Which operator can be used to combine two or more conditions element-wise?
Which function returns the dimensions of a data frame?
Which function returns the dimensions of a data frame?
Which operator can be used to check if a value is not equal to another value?
Which operator can be used to check if a value is not equal to another value?
Which function shows the class of each column in a data frame?
Which function shows the class of each column in a data frame?
Which operator can be used to check if a value is less than or equal to another value?
Which operator can be used to check if a value is less than or equal to another value?
Which of the following is NOT a learning outcome of the CSE5DEV course?
Which of the following is NOT a learning outcome of the CSE5DEV course?
Which stage in a data science project involves identifying the problem or question?
Which stage in a data science project involves identifying the problem or question?
Which type of attribute represents quantities with meaningful ratios between their values?
Which type of attribute represents quantities with meaningful ratios between their values?
Which lecture in the syllabus covers Data Cleaning & Normalization?
Which lecture in the syllabus covers Data Cleaning & Normalization?
What is the data format used in CSE5DEV labs?
What is the data format used in CSE5DEV labs?
What are the different data formats mentioned in the course?
What are the different data formats mentioned in the course?
Which packages need to be installed and loaded into R in order to use the mentioned processes?
Which packages need to be installed and loaded into R in order to use the mentioned processes?
What is the first step in the data wrangling process?
What is the first step in the data wrangling process?
Which function is used to filter the data in the data wrangling process?
Which function is used to filter the data in the data wrangling process?
Which function is used to arrange the data in the data wrangling process?
Which function is used to arrange the data in the data wrangling process?
Which function is used to select specific columns of data in the data wrangling process?
Which function is used to select specific columns of data in the data wrangling process?
Which function is used to create new variables based on existing variables in the data wrangling process?
Which function is used to create new variables based on existing variables in the data wrangling process?
Which of the following is NOT a type of attribute in tabular data?
Which of the following is NOT a type of attribute in tabular data?
Which of the following operations can be applied to all types of attributes in tabular data?
Which of the following operations can be applied to all types of attributes in tabular data?
Which process is used to gather columns into a new pair of variables in tabular data?
Which process is used to gather columns into a new pair of variables in tabular data?
Which process is the opposite of gathering in tabular data?
Which process is the opposite of gathering in tabular data?
Which process is used to separate a column into multiple columns based on a separator character in tabular data?
Which process is used to separate a column into multiple columns based on a separator character in tabular data?
Which of the following is NOT a technical format for storing or collecting tabular data?
Which of the following is NOT a technical format for storing or collecting tabular data?
Which type of attribute represents attributes that have only two values, such as Yes/No or 0/1?
Which type of attribute represents attributes that have only two values, such as Yes/No or 0/1?
What are the types of operations that can be applied to attributes?
What are the types of operations that can be applied to attributes?
Which technical format is a standard format for storing or collecting tabular data?
Which technical format is a standard format for storing or collecting tabular data?
What are the processes used to convert non-tabular data into tabular representation?
What are the processes used to convert non-tabular data into tabular representation?
Which process is used to pull apart one column into multiple columns by splitting wherever a separator character appears?
Which process is used to pull apart one column into multiple columns by splitting wherever a separator character appears?
What function is used to separate data into multiple columns in R?
What function is used to separate data into multiple columns in R?
Which of the following is NOT a learning outcome of the CSE5DEV course?
Which of the following is NOT a learning outcome of the CSE5DEV course?
What are the different data formats mentioned in the course?
What are the different data formats mentioned in the course?
Which stage involves identifying the problem or question in a data science project?
Which stage involves identifying the problem or question in a data science project?
Which type of attribute represents quantities with meaningful ratios between their values?
Which type of attribute represents quantities with meaningful ratios between their values?
What is data wrangling?
What is data wrangling?
Which lecture covers Data Cleaning & Normalization in the syllabus?
Which lecture covers Data Cleaning & Normalization in the syllabus?
Which function in R can be used to show the first 6 rows of a data frame?
Which function in R can be used to show the first 6 rows of a data frame?
What is the result of the following logical condition in R: x < 5?
What is the result of the following logical condition in R: x < 5?
Which function in R can be used to check whether all entries of a logical vector are TRUE?
Which function in R can be used to check whether all entries of a logical vector are TRUE?
Which logical operator in R is used to combine two or more conditions element-wise?
Which logical operator in R is used to combine two or more conditions element-wise?
What is the result of the following logical condition in R: x >= 3?
What is the result of the following logical condition in R: x >= 3?
Which function in R can be used to extract the values of a vector that satisfy a certain condition?
Which function in R can be used to extract the values of a vector that satisfy a certain condition?
Which operator is used to select a subset of data based on multiple conditions?
Which operator is used to select a subset of data based on multiple conditions?
What is the result of the following code: z <- dat[dat$disp<=160 & dat$hp<110,]?
What is the result of the following code: z <- dat[dat$disp<=160 & dat$hp<110,]?
What is the syntax of an if statement in R?
What is the syntax of an if statement in R?
What is the purpose of a for loop in R?
What is the purpose of a for loop in R?
What is the purpose of the repeat loop in R?
What is the purpose of the repeat loop in R?
What is the purpose of the library function in R?
What is the purpose of the library function in R?
Which package needs to be installed and loaded into R to perform data wrangling functions?
Which package needs to be installed and loaded into R to perform data wrangling functions?
What is the first step in data wrangling?
What is the first step in data wrangling?
Which function is used to filter data in data wrangling?
Which function is used to filter data in data wrangling?
Which function is used to arrange data in data wrangling?
Which function is used to arrange data in data wrangling?
Which function is used to select columns in data wrangling?
Which function is used to select columns in data wrangling?
Which function is used to create new columns in data wrangling?
Which function is used to create new columns in data wrangling?
Which logical condition operator is used to select data based on multiple conditions?
Which logical condition operator is used to select data based on multiple conditions?
Which logical condition operator is used to select data based on either of the conditions being TRUE?
Which logical condition operator is used to select data based on either of the conditions being TRUE?
What is the result of the following code? s <- dat[dat$disp<=160, ]
What is the result of the following code? s <- dat[dat$disp<=160, ]
What is the result of the following code? z <- dat[dat$disp<=160 & dat$hp<110,]
What is the result of the following code? z <- dat[dat$disp<=160 & dat$hp<110,]
What is the purpose of the 'if' statement in R?
What is the purpose of the 'if' statement in R?
What is the result of the following code? for (i in 1:3) { print(i) }
What is the result of the following code? for (i in 1:3) { print(i) }
