MATH06111 2020 Data Visualisation
Full Title
Data Visualisation
Transcript Title
Data Visualisation
Code
MATH06111
Attendance
N/A %
Subject Area
MATH - Mathematics
Department
HEAL - Health & Nutritional Sciences
Level
06 - NFQ Level 6
Credit
05 - 05 Credits
Duration
Semester
Fee
€
Start Term
2020 - Full Academic Year 2020-21
End Term
9999 - The End of Time
Author(s)
Padraig McGourty
Programme Membership
SG_SINFO_B07 202000 Bachelor of Science in Health and Medical Information Science
SG_SINFO_C06 202000 Higher Certificate in Science in Health and Medical Information Science
Description
In this module, the learner will investigate a variety of visualisation concepts and tools for analysing data sets. The student will gain an understanding of the core skills in data visualisation and the tools available. The will gain knowledge in how to select appropriate visualisation methods based on the data and target audience and create visualisations using appropriate software packages. The use and creation of dashboards will also be explored.
Learning Outcomes
On completion of this module the learner will/should be able to;
1.
Explain core skills for data Visualisation and tools available for visualisation
2.
Select the appropriate data visualisation methods based on the type of data and target audience.
3.
Create visualisations using various software packages
4.
Create compelling and effective dashboards using an appropriate collection of related visualisations.
5.
Evaluate data visualisations and outline issues and techniques applying visualisations in a health domain
Teaching and Learning Strategies
This module will be delivered using a combination of theory based online lectures, online computer based practicals and self-study. The student's learning will be supported by a range of supplemental content available on the module page in the institutes' VLE (Moodle). This supplemental content will include notes, practical manuals and videos.
The principles of UDL will underpin the design of all module content to ensure maximum accessibility for all learners.
Module Assessment Strategies
The student will be assessed by means of both summative and formative assessment. The summative assessment will consist of two data visualisation projects and a set of open book moodle quizzes where the student will be examined on their theoretical knowledge of data visualisation.
The student will also have access to online self-assessment quizzes as part of the formative assessment. These quizzes will allow the student to monitor their own progress on the module as well as identify any knowledge gaps they may have.
Repeat Assessments
Where the student does not pass the modules they may be asked to re-submit one or both of the data visualisation projects and re-do the moodle quizzes.
Indicative Syllabus
1. Explain core skills for data Visualisation and tools available for visualisation
- What is Data Visualisation?
- Characteristics of Data, Data Types and Information
- Communication through visualisation
- Tools used for Visualisation
2. Select the appropriate data visualisation methods based on the type of data and target audience.
- Principles of data visualisation
- Graphical integrity
- Clarity of data representation
- Elements of visual design (layout, colour, fonts, labelling etc.)
3. Create visualisations using various software packages
- Planning and designing visualisations
- Investigation of Tools for creating appropriate data Visualisations (Tableau, Power BI, Google Charts, Excel)
- Creating Visualisations for Numerical Data
- Creating Visualisation for Non-Numerical Data
- Techniques for:
- Spatial data,
- Geospatial data,
- Multivariate data,
- Trees,
- Graphs,
- Clusters etc.
4. Create compelling and effective dashboards using an appropriate collection of related visualisations.
- Investigate and implement dashboard creation with Tableau/Excel
- Show how these packages can be connected to data sources, e.g. databases. for dashboard creation
5. Evaluate data visualisations and outline issues and techniques applying visualisations in a health domain
- Investigating Pitfalls in data visualisation design
- Compare and contrast data visualisation techniques.
Coursework & Assessment Breakdown
Coursework & Continuous Assessment
100 %
Coursework Assessment
| Title | Type | Form | Percent | Week | Learning Outcomes Assessed | |
|---|---|---|---|---|---|---|
| 1 | Moodle Quizzes | Coursework Assessment | Multiple Choice/Short Answer Test | 30 % | OnGoing | 1,2,3,4,5 |
| 2 | Project - Creating Data Visualisations | Project | Assignment | 35 % | Week 7 | 2,3 |
| 3 | Project - Creating Dashboards | Project | Assignment | 35 % | Week 13 | 3,4,5 |
Online Learning Mode Workload
| Type | Location | Description | Hours | Frequency | Avg Workload |
|---|---|---|---|---|---|
| Online Lecture | Distance Learning Suite | Online Lecture | 1 | Weekly | 1.00 |
| Workshop / Seminar | Distance Learning Suite | Online Computer Based Workshop | 2 | Weekly | 2.00 |
| Independent Learning | Offsite Facility | Student Self Study | 4 | Weekly | 4.00 |
Total Online Learning Average Weekly Learner Contact Time 3.00 Hours
Required & Recommended Book List
Recommended Reading
2016-08-15 Data Visualisation Sage Publications Limited
ISBN 147391213X ISBN-13 9781473912137
2016-08-15 Data Visualisation Sage Publications Limited
ISBN 147391213X ISBN-13 9781473912137
The first of its kind - a data visualisation book combining beautiful presentation with student-specific guidance and learning features - this resource empowers and inspires readers to be able to present data effectively
Recommended Reading
2019-05-14 Effective Data Visualization SAGE Publications, Incorporated
ISBN 1544350880 ISBN-13 9781544350882
2019-05-14 Effective Data Visualization SAGE Publications, Incorporated
ISBN 1544350880 ISBN-13 9781544350882
Written by sought-after speaker, designer, and researcher Stephanie D. H. Evergreen, Effective Data Visualization shows readers how to create Excel charts and graphs that best communicate data findings. This comprehensive how-to guide functions as a set of blueprintssupported by research and the authors extensive experience with clients in industries all over the worldfor conveying data in an impactful way. Delivered in Evergreens humorous and approachable style, the book covers the spectrum of graph types available beyond the default options, how to determine which one most appropriately fits specific data stories, and easy steps for making the chosen graph in Excel. New to the Second Edition is a completely re-written chapter on qualitative data; inclusion of 9 new quantitative graph types; new shortcuts in Excel; and entirely new chapter on Sharing Your Data with the World which includes advice on using dashboards; and lots of new examples throughout. The Second Edition is also presented in full color.
Recommended Reading
2013 Tableau Data Visualization Cookbook Packt Publishing
ISBN 1849689784 ISBN-13 9781849689786
2013 Tableau Data Visualization Cookbook Packt Publishing
ISBN 1849689784 ISBN-13 9781849689786
This Cookbook contains step-by-step instructions for Tableau users to create effective graphics. The book is designed in such a way that you can refer to it chapter by chapter; you can look at the list of recipes and read them in no particular order.You'll gain the most from this book if you have basic understanding of various chart types and of their importance. Knowing when to employ a certain graphic will be equally useful. This book will get you up to speed if you just started using Tableau. You'll find this book useful if you spend a lot of time conducting data analysis and creating reports.