Data Visualisation With R

methods@manchester is an initiative funded by the Faculty of Humanities, University of Manchester. It aims to:highlight Manchester's strength in research methods in the social sciencespromote interdisciplinary and innovative methodological developmentsfoster further developments, including training, through external fundingmethods@manchester achieves these aims by:web pages that showcase the expertise in research methods within the facultypromoting and facilitatingmethods-related eventsacross the universityholding twice-yearly high profile external eventsm﻿ethods@manchester is part of Methods North West, a regional hub for research methods innovation, celebrating the collective strength, depth and breadth of methodological expertise across the participating Universities of Manchester, Liverpool, Lancaster, Lancashire and Keele.

methods@manchester

A 2-day course to learn effective skills in data visualisation with R.

In collaboration with the Economics department at the University of Manchester (please note, if you are staff/student based within the Economics department please ensure you select &#x27;For staff and students in UoM Economics department&#x27; at checkout).This course is spread over two days, you must be able to attend both days.Day 1: Monday 21st February 9am -12.30pmDay 2 : Tuesday 22nd February 9am-12.30pmData visualisation is a key statistical tool for effective communication and to understand aspects of data and models. The statistical language R is used widely for data analysis and visualization, e.g. the BBC Visual and Data Journalism team uses ggplot2 R-package to create production-ready charts. This workshop will teach you how to create production-ready graphics using the grammar of graphics implemented in ggplot2 R-package. In addition, the workshop will teach you how to construct more complex plots, including maps, and discuss inference for statistical graphics to understand if what we see in a plot is really there. The workshop will be hands-on with plenty of practical examples.Target audience:This workshop is suitable for those who know R but are not familiar or comfortable with using ggplot2 or would like a refresher on ggplot2. Requirements:•	basic R knowledge (e.g. you have used R to load data, create simple visualisations, perform basic analyses and write simple functions or more specifically, you are familiar with concepts in Cookbook for R by Winston Chang)•	basic statistics (e.g. simple linear regression, hypothesis testing, basic summary statistics and plots)•	computer (with ability to install R and R-packages), microphone and web camera •	stable internet connection•	Install the video conferencing software, zoom and know how to use zoomAbout the presenters:Dianne Cook is Professor of Business Analytics at Monash University in Melbourne, Australia. She is a world leader in data visualisation, especially the visualisation of high-dimensional data using tours with low-dimensional projections, and projection pursuit. She is currently focusing on bridging the gap between exploratory graphics and statistical inference. Di is a Fellow of the American Statistical Association, past editor of the Journal of Computational and Graphical Statistics, current editor of the R Journal, elected Ordinary Member of the R Foundation, and elected member of the International Statistical Institute. Emi Tanaka is a Lecturer in Statistics at Monash University and the President of SSA Vic. She is currently working on a statistical theory for conducting inference using data plots and is an early career researcher in mixed models, and experimental design. She is an experienced and enthusiastic R user and instructor, and regularly teaches university courses and workshops to the broader community on data visualisation, including ggplot2.

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Data Visualisation With R

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Data Visualisation With R

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