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Tlyons_WIT

Tony Lyons

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Data Visualisation 2019 - Assignment 10
In this workbook, you will review several topics which were covered in previous assignments during the semester.
Data Visualisation 2019 - Assignment 9
In this workbook you will cover 1. Clustering 2. Single and Complete Linkage and 3. Dendrograms.
Data Visualisation 2019 - Assignment 8
In this workbook you will cover 1. Metrics (Euclidean and Manhattan) and 2. Heat maps
Data Visualisation 2019 - Assignment 7
In this workbook you will cover misrepresentation in statistics. The three forms of misrepresentation considered will be 1. Incorrect choice of baseline 2. Using Cumulative plots instead of frequency plots 3. Using incomplete data.
Data Visualisation 2019 - Assignment 6
In this work book you will cover 1. Time Series and 2. Predictions.
Data Visualisation 2019 - Assignment 5
In this assignment you will cover 1. Scatter plots, 2. Linear regression and 3. Lines of best fit
Data Visualisation 2019 - Assignment 4
In this assignment you will cover 1. Normal Distributions 2. Confidence Intervals and 3. Interpretation of Confidence Intervals.
Data Visualisation 2019 - Assignment 2
In this assignment you will cover 1. Clustered Bar Charts 2. Stacked Bar Charts, 3. Significance of Ordering Data and 4. Optimal Colouring of Charts. This assignment should be uploaded to Moodle by 5 p.m. on Friday, 4 October.
Data Visualisation 2019 - Assignment 1
In Assignment 1 you will cover 1. Histograms 2. Skewness of data 3. Pareto Charts The assignment should be uploaded to the Moodle page for this module by 5 p.m. on Friday, 27 September 2019.
Data Visualisation 2019 - Introduction to R
This workbook introduces the basic functions of the statistical package R and the environment R Studio.