MATH144 DATA ANALYSIS WITH R 122
QUESTIONS WITH VERIFIED ANSWERS
2 things that determine the value of data - CORRECT ANSWER Accuracy of data
and Efficiency with which we're able to access the data
What can we do with data analysis? - CORRECT ANSWER 1. Predict data trends,
2. Analyze and interpret data
3. Solves the problem and drives effective decision-making in real-world scenarios.
Ways that data are collected - CORRECT ANSWER - Manually by scientists
- Digitally every time you click on a website or access an app on your mobile
device
an important resource for sample datasets - CORRECT ANSWER Data Asset
exchange
What is the first critical step to data analysis? - CORRECT ANSWER Understanding
the variables
Common file format for datasets
separates each of the column values within a row with commas - CORRECT
ANSWER .csv file
Predict flight delay rate from LAX to JFK. (locations are the fixed variables)
,The goal of this project is to predict "Ardella" for a given flight date and airline. -
CORRECT ANSWER What problem is being solved ?
Ardella- arrival delay (min)
this is the value that we want to predict from the dataset - CORRECT ANSWER
What is the target variable?
Distance, Carrier Delay, Weather Delay, NAS Delay (National Aviation System),
Security Delay, or LateAircraftDelay.
These are the categories for reasons of delay - CORRECT ANSWER What are the
predictors?
tidyverse library groups - CORRECT ANSWER 1. Data Wrangling and
Transformation
2. Data Import and Management
3. Functional Programming
4. Data Visualization and Exploration
What packages does Data Wrangling and Transformation group include - CORRECT
ANSWER diplyr and tidyr
helps filter and group data
What packages does Data Import and Management group include - CORRECT
ANSWER readr
, parsing a flat file into a tibble
What packages does Functional Programming group include? - CORRECT ANSWER
purrr package
provides statistics, eg. calculating mean for each column
What packages does Data Visualization and Exploration group include? - CORRECT
ANSWER ggplot 2
produce charts and visualizations eg box plot, density plots, violin plots, tile plots,
and time series plots
5 key dplyr functions - CORRECT ANSWER 1. select() - selects variables by their
names,
2. filter() - filters observations based on values
3. summarize() - computes summary statistics,
4. arrange() -reorders the rows
5. mutate() -creates new variables
procress of loading and reading data from various sources - CORRECT ANSWER
Data acquisition
2 factors to consider whenusing the R readr package - CORRECT ANSWER 1.
Format - way data is encoded (.csv, .json, .xlsx)
2. File path of dataset - where data is stored, either on local file or online
QUESTIONS WITH VERIFIED ANSWERS
2 things that determine the value of data - CORRECT ANSWER Accuracy of data
and Efficiency with which we're able to access the data
What can we do with data analysis? - CORRECT ANSWER 1. Predict data trends,
2. Analyze and interpret data
3. Solves the problem and drives effective decision-making in real-world scenarios.
Ways that data are collected - CORRECT ANSWER - Manually by scientists
- Digitally every time you click on a website or access an app on your mobile
device
an important resource for sample datasets - CORRECT ANSWER Data Asset
exchange
What is the first critical step to data analysis? - CORRECT ANSWER Understanding
the variables
Common file format for datasets
separates each of the column values within a row with commas - CORRECT
ANSWER .csv file
Predict flight delay rate from LAX to JFK. (locations are the fixed variables)
,The goal of this project is to predict "Ardella" for a given flight date and airline. -
CORRECT ANSWER What problem is being solved ?
Ardella- arrival delay (min)
this is the value that we want to predict from the dataset - CORRECT ANSWER
What is the target variable?
Distance, Carrier Delay, Weather Delay, NAS Delay (National Aviation System),
Security Delay, or LateAircraftDelay.
These are the categories for reasons of delay - CORRECT ANSWER What are the
predictors?
tidyverse library groups - CORRECT ANSWER 1. Data Wrangling and
Transformation
2. Data Import and Management
3. Functional Programming
4. Data Visualization and Exploration
What packages does Data Wrangling and Transformation group include - CORRECT
ANSWER diplyr and tidyr
helps filter and group data
What packages does Data Import and Management group include - CORRECT
ANSWER readr
, parsing a flat file into a tibble
What packages does Functional Programming group include? - CORRECT ANSWER
purrr package
provides statistics, eg. calculating mean for each column
What packages does Data Visualization and Exploration group include? - CORRECT
ANSWER ggplot 2
produce charts and visualizations eg box plot, density plots, violin plots, tile plots,
and time series plots
5 key dplyr functions - CORRECT ANSWER 1. select() - selects variables by their
names,
2. filter() - filters observations based on values
3. summarize() - computes summary statistics,
4. arrange() -reorders the rows
5. mutate() -creates new variables
procress of loading and reading data from various sources - CORRECT ANSWER
Data acquisition
2 factors to consider whenusing the R readr package - CORRECT ANSWER 1.
Format - way data is encoded (.csv, .json, .xlsx)
2. File path of dataset - where data is stored, either on local file or online
