Before we Start
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Introduction to R
Starting with Data
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{alt
= ‘A 3 by 3 data frame with columns showing numeric, character and
logical values.’}
Data Wrangling with dplyr and tidyr
A couple of plots. And making our own functions
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Two new things happens here. First, we are using a new way of telling
the plot function what relationship we want to visualise. The function
notation y~x, tells the boxplot function that we want to visualise y as
a function of x. In this case we want to visualise the number of people,
as af function of the wall type. Secondly, we use a boxplot. A boxplots
shows the distribution of the values on the y-axis. The median value is
indicated by the solid bar. The box encapsulates 50% of the
observations. Its upper and lower borders represents the interquartile
range (IQR). The whiskers on the plot - here only the upper whiskers are
shown due to the nature of the data, represents the range of the data.
The distance from the upper part of the box, to the whisker is 1.5 times
the interquartile range. The dots that we see for muddaub and sunbricks
are outliers. Observations that lies so far from the rest of the
observations, that we consider them as outliers.
Figure 4
