MY-ASSIGNMENTEXPERT™可以为您提供 sydney INFS6023 Data Visualization 数据可视化课程的代写代考和辅导服务！
这是悉尼大学 数据可视化课程代写成功案例。
INFS6023课程简介
Data visualisation, storytelling, and scenario development are prominent analytical practices that are increasingly used by professionals seeking to use data for decision making. This unit aims to equip students with necessary knowledge and data visualisation skills, acquired through real-world projects and applications inspired by leading industry practices. Students develop a holistic view of data visualisation and acquire knowledge of related tools to deal with organisational and societal challenges. This unit focuses on business/organisational decision makers and their use of data visualisation. As such this unit does not require any prior IT, computer science or data science experience.
Prerequisites
At the completion of this unit, you should be able to:
- LO1. Apply fundamental concepts of data visualisation to analyse and present data-related challenges in organisational and societal settings.
- LO2. Identify and analyse multi-disciplinary issues and ethical challenges associated with the use of data visualisation techniques.
- LO3. Explain principles and best practices of data visualisation as it applies to current and emerging industry trends.
- LO4. Design and develop data visualisations based on real world datasets.
- LO5. Recommend and evaluate data visualisation solutions and present outcomes orally and verbally.
INFS6023 Data Visualization HELP（EXAM HELP， ONLINE TUTOR）
a) Generate a sequence from -3 to 3 by 0.1 steps. Plot the function $y=x^2$ with $x$ being the previously generated sequence. What does the function look like for $y=2+x^2$ and $y=5-x^2$ ?
Solution:
$$
\begin{aligned}
& x<-(-30: 30) / 10 \
& y<-x^{\wedge} 2 \
& \text { plot }(y, \text { type – “1”) }
\end{aligned}
$$
y2 <- 2 + x^2
plot(y2, type = “l”)
\begin{aligned}
& y^3<-5-x^{\wedge} 2 \
& \text { plot (y3, type }-” I *)
\end{aligned}
The following table gives the murders in New Jersey by date of the week:
\begin{tabular}{ccccccc}
Sun & Mon & Tue & Wed & Thu & Fri & Sat \
\hline 53 & 42 & 51 & 45 & 36 & 37 & 65
\end{tabular}
Calculate the relative and absolute frequencies, plot and interpret the results in a boxplot, a bar and a pie chart.
Solution:
murder <- $c(53,42,51,45,36,37,65)$
names (murder) <- c (“Sun”, “Mon”, “Tue”, “Wed”, “Thu”, “Fri”, “Sat”)
freq.rel <- murder/sum (murder)
boxplot (murder)
barplot(murder)
pie(murder)
The age of all U.S. presidents on inauguration day is given in the file us-president.csv. Study the data with a histogram, a boxplot and descriptive statistics.
Solution:
uspresident <- as.data.frame (read.csv (“us-president, csv”, header-TRUE, sep-“, “)) head (uspresident)
President Age
fi 1 Washington 57
fA 2 J.Adams 61
HA 3 Jefferson 5 ?
HA 4 Madison 58
HA 5 Monroe 58
4A 6 J.Q.Adams 57
hist (uspresident \$Age)
boxplot(uspresident$Age)
attach (uspresident)
summary (Age)
HA Min. 1st Qu. Median Mean 3rd Qu. $\quad$ Max.
mean (Age)
HA [1] 54.89
sd (Age)
[1] 6.218
var (Age)
4A [1] 38.66
IQR (Age)
계 [1]?
range (Age)
+H [1] $42 \quad 69$
MY-ASSIGNMENTEXPERT™可以为您提供 sydney INFS6023 Data Visualization 数据可视化课程的代写代考和辅导服务！
