![]() Manipulate and investigate the datasets used in Day 1.Īpply visualisations to further investigate the patterns in the data and their statistical foundations. Learn how to compute descriptive and comparative statistics, and when to use them. Day 2 – Friday 4th October 2019 Basics of Data Analysis | 9:00 – 12:30 Learn how to make basic visualisations with R, and how to think about the different options available to adapt visualisations to specific audiences (e.g., to choose the information, graph, and aesthetics).Įxplore the datasets prepared in the morning.Īpply visualisations to overview the content of the data and report specific insights with attractive and intuitive visuals. Learn basic techniques to write fewer lines of code, and write code that is easy to inspect and correct.įocusing on manipulating open source datasets, and performing basic tasks for collecting and preparing data (i.e., read, write, clean, format and merge datasets). The exercises will be designed so that all types of learners develop their programming skills. Learners with programming experience will assist and collaborate with inexperienced learners during practice sessions. ![]() Learn the basic concepts and principles for programming. Visualisation made with R about the “Focus on the growth of labour for 6 sectors of activity.” Day 1 – Thursday 3rd October 2019 Basics of Programming | 9:00 – 10:30 ![]()
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