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ETC1010 - ETC5510 - Introduction to data analysis - S1 2025

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theme(axis.text.x = element(angle = 90))

100%

theme(axis.line.x = element_text(angle = 90))

theme(axis.x = element_text(angle = 90))

theme(axis.text.x = element_text(angle = 90))

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ggplot(data = mpg ) + geom_boxplot(aes(x = class, y=hwy, fill=class)) + labs(y = "Highway miles per gallon")

100%

ggplot(data = mpg ) + geom_boxplot(aes(x = class, y=hwy, colour=class)) + labs(y = "Highway miles per gallon")

ggplot(data = mpg ) + geom_boxplot(aes(x = class, y=hwy, group=class)) + labs(y = "Highway miles per gallon")

ggplot(data = mpg, aes(x = class, y=hwy)) + geom_boxplot()

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Why is not a good practise to use setwd() inside your Rmd or

R file?

That will set a local path which will not work in any machine other than yours

❌

That will set a global path which will not work in any machine other than yours

50%

It is a good idea since it will set a global path which will work in any machine

It is a good idea since it will set a local path which will work in any machine

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The function “str_trim()” will

remove whitespace from the start and end of a string

✅

remove whitespace from the end of a string only

❌

remove whitespace from the start of a string only

❌

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Which of the below is NOT a potential challenge of web-scraping?

Unreliable formatting at the source

❌

Data broken into many pages

❌

Data arriving in multiple excel file formats

❌

It can't be automated

✅

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A friend of yours complained about copying the same R code many times.

Should you tell them that they should put the code into a function?

Yes

✅

No, because you don't have any friends

❌

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True or False?

The "bow()" function checks if the data can be scraped appropriately.

True

False

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The following question is about visualisation.

The data shows calories of a selection of chocolate bars, 100g equivalents. Which of the following statements are true?

Image failed to load

The median calories of the “Dark” and “Milk” chocolates are similar for the samples in this data set.

❌

The “Milk” chocolates in this data seem to have more calories

❌

The “Dark” chocolates in this data seem to have higher calories

✅

In this data set there are more chocolate samples in the “Dark” group

❌

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The following question is about tidy data. The table below contains looks at crime occurrence in different locations across Victoria:

entry_point	lga	crime_type	count
FRONT DOOR	Monash	arson	70
FRONT DOOR	Alpine	arson	70
WINDOW	Monash	burglary	30
WINDOW	Alpine	burglary	45
ROOF	Monash	burglary	15
ROOF	Alpine	burglary	10

What proportion of the crimes were recorded in the Alpine LGA?

Incorrect answers are penalised.

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The following question is about visualisation.

The data shows calories of a selection of chocolate bars, 100g equivalents. Calories mapped to the vertical axis. For the following statement:

Dark chocolates are higher in calories than milk chocolates.

Image failed to load

The statement is true.

❌

The statement is false.

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