程序代写代做代考 Semester 2 2021 – cscodehelp代写

Semester 2 2021
Lecture 2: Visualisation – Part I

Visualisation
Why Have Visual Representations?
https://gis.icao.int/eganp/jpgfc/FLOWCHARTFIRbackgroundproposewhite.jpg

Basic Visualisation
• Line plots
• Boxplots
• Histograms • Bar charts
• Scatter plots • Heatmap
• Parallel Coordinate plots

Line plot

Boxplot
25% 25%
50% 25%
25%
Shows distribution based on a 5-number summary of a set of data points (e.g. distance)
• Median: the midway data point
• First quartile(Q1): middle data point below
the median.
• Third quartile(Q3): middle data point above
the median
• Minimum: the smallest value in the data
• Maximum: the largest value in the data
• IQR = interquartile range = Q3-Q1

Boxplots – patterns
• Symmetric or skewed? Tightly or loosely grouped?

Outliers and
1.5 IQR
Outlier
Suspected outlier
Upper-limit
Upper inner fence
Q3
median Q1
Lower inner fence
Median: the middle data point (once sorted) Q1: middle data point below the median. Q3: middle data point above the median. IQR = interquartile range = Q3 – Q1
Whiskers (inner fence)
•Upper-limit: Q3 + 1.5 × IQR
•Upper inner fence: Highest data point ≤ Upper-limit
•Lower-limit Q1 – 1.5 × IQR
•Lower inner fence: Lowest data point ≥ Lower-limit
Suspected outliers (circle)
• > 1.5 × QR below Q1 or above Q3 Outliers (black dot)
• > 3 × IQR below Q1 or above Q3
1.5 IQR
IQR
1.5 IQR
Lower-limit