ETX2250/ETF5922 Data Visualisation and
Analytics
Assignment 1: Visualisation – The Arts
Submission instructions
This assignment comprises 15% of the assessment in ETX2250 and
ETF5922.
Your assignment submission will consist of a pdf document. The
document must include both your code and graphical and other output
as well as paragraph answers that provide description and discussion
of the output. The presentation of graphs is important. In
particular, headings and labels should be provided.
In your completed assignment, graphs should be easy to read, with
appropriate use of headings, colour, formatting and text.
The pdf document must be submitted as a hard copy in class, and also
must be uploaded to Moodle.
The pdf document should be titled <studentid>_A1.pdf
(Note: No spaces, No Names, No other characters, No extra
characters)
The assignment is due before class on Friday 25 January 2019 (9.00
am), and a hard copy of the pdf document should be submitted in
class, securely stapled in the top left corner and with a signed
COVER SHEET on top.
If for some reason you are unable to submit the assignment
personally, there will be an assignment box available on level 5 of
Building H to place it there before the due time.
The cover sheet is available at URL:
https://www.monash.edu/__data/assets/word_doc/0004/903379/assignment
-cover-sheet-fbe-1.doc you must supply the unit code and further
details.
Upload your assignment to Moodle as follows:
Go to the Assignments section
Click on Submission of Assignment 1: Visualisation
Click on Add submission
Drag and drop the file to submit it
Save changes
To confirm that your upload was successful, go to the Assignments
section, and click on the Assignment 1: Visualisation link. The
uploaded filename will be shown.
Retain your marked assignment until after the publication of the
final results for this unit.
Assignment 1: Introduction
This assignment relates to the Visualisation component of the unit.
We ask you to report on two different data sets.
Part A: Painters
The first is the data set painters relating to various qualities of
the artwork of some famous classical painters.
Part B: Movies
The second part of the assignment is unrelated to the first. You
will investigate certain aspects of a data set about movies.
Assignment 1 Part A (10 Points)
The data set painters.csv is available on the Moodle site. This data
consists of scores assigned to 54 classical painters on the basis of
the four attributes:
Composition
Drawing
Colour
Expression
Thus there are 216 scores altogether. The names of the artists are
given as row label. In addition there is a categorical variable:
School , taking values A, B, C, D, E, F, G, H (see the details in
the library MASS and type ?painters in a cell).
a) Data Wrangling (1 Point)
Some of the graphics you will be asked to produce relating to the
painters data set are more conveniently produced using long form
data. So prepare by producing a version of this data in long form.
Also provide the head and tail of the resulting data frame.
b) Produce each of the following graphs. (2 Points)
(i) To determine the distribution of scores over the possible
range, provide a histogram of all 216 scores. Use a binwidth
of 1 so that it is clear exactly how many of each score have
been assigned. (0.5 Points)
(ii) Provide four histograms showing the distribution of scores
in each of the four Attributes. (0.5 Points)
(iii) Provide boxplots of the scores, one for each of the four
Attributes. (0.5 Points)
(iv) Provide a scatterplot matrix for the scores across all
attributes (i.e. the scatterplot matrix includes
scatterplots for each pair of attributes.) (0.5 Points)
(c) Summarise what you learn from the plots in (b) about the
distributions of scores. (3 Points)?
(d) Suppose we now would like to also distinguish scores
between the different schools (A to H) (1.5 Points)
(i) Apply a facet wrap to the graph produced in (b) (iii) to
obtain thirty-two boxplots, four for each School,
corresponding to the four Attributes. (0.5 Points)
(ii) Provide a graph of the scores for each School, coloured
by Attributes. (e.g. schools A to H along x axis, and in a
line above a given school, points representing the scores for
painters in that school, coloured by attribute.) (0.5 Points)
(iii) Provide a facet plot where facets correspond to schools,
and for which in each facet, attributes are plotted on the x
axis and scores on the y axis, with dots coloured by attribute
and appropriate use of jittering. (0.5 Points)
(e) For the various plots you have provided in part (d),
discuss the advantages and disadvantages of using them to
represent the data about scores by schools. (1 Point)
(f) Choose your preferred plot from part (d). Choose three
Schools to focus on, and discuss what your chosen plot
indicates about the attributes of these schools. (1.5 Points)
Assignment 1 Part B (4 Points)
There is a package ggplot2movies containing the data set movies.
(a) Create a histogram for the variable length in the data set
movies, limiting the range of the x axis so that the shape can
be seen. Comment on the shape. (1 Points)
b) (1 Point)?
We are going to focus on certain feature length movies. Use the
subset commands on the data frame movies to create a data frame
entitled movies.df satisfying the following:
It includes only the variables title, year, length, rating,
votes, Action, Comedy, Drama, and Romance.
It includes only those movies that are at least 60 minutes and
at most 180 minutes long.
? It includes only those movies that are listed as being in at
least one of the four categories Action, Comedy, Drama, and
Romance
c) (1 Point)
(i) Construct a mosaic plot for the four binary variables
Action, Comedy, Drama, and Romance. Choose the order of
the variables so that the mosaic plot splits simply into
a section that is comedy and a section that is not
comedy. (0.25 Points)
(ii) One possible plot that you might obtain is:
For each segment of the mosaic plot labelled X1 through
X8, state which of the classifications Comedy, Drama,
Romance, and Action it belongs to. (Of course, in many
cases, it will belong to more than one. You should state
all categories it belongs to. ) (0.25 Points)
(iii) Given that a movie is a Comedy, which is it most likely
to also be: Action, Drama or Romance? Which is it least
likely to also be? Explain your answers by referring to
the mosaic plot above. (0.5 Points)
d) (1 Point)
Using the movies in the movies.df data frame, construct a scatter
plot for rating vs votes. Discuss what conclusions can be drawn from
this scatter plot about these two variables and their relationship.
Overall presentation: 1 point
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原文地址：https://www.cnblogs.com/rrrrrhelper/p/10327723.html