In this session, I’ll introduce the ‘messy’ R package designed to introduce controlled levels of messiness into existing, clean datasets. This package allows you to retain the structure and simplicity of familiar example datasets while providing students with a realistic, manageable data cleaning experience.
This talk will showcase why you should visualise data and present some guidelines for making better charts to improve decision-making, before we discuss examples of good and bad charts.
This talk will showcase why you should visualise data and present some guidelines for making better charts to improve decision-making, before we discuss examples of good and bad charts.
This talk will showcase why you should visualise data and present some guidelines for making better charts to improve decision-making, before we discuss examples of good and bad charts.
This talk will showcase why you should visualise data and present some guidelines for making better charts to improve decision-making, before we discuss examples of good and bad charts.
In this talk, I’ll showcase why you should visualise data and how the RSS guide was developed, present some guidelines for making better charts, before we discuss examples of good and bad charts.
In this talk, Brian and Nicola will describe the motivation for creating the Royal Statistical Society’s data visualisation guide, describe its key recommendations to improve your data visualisations, and show you how to get involved.
As part of the parallel sessions section, I will deliver a short presentation on the use of data visualisation in OR before we open the floor to the round table discussion.
In this lightning talk, I’ll describe ways that teaching materials can be adjusted and made more engaging with live coding examples. It will include a demonstration of using webR to teach a simple statistical concept showing its potential to revolutionise the way we teach data science.
This talk will discuss my career path to date as part of the International Day of Women in Statistics and Data Science celebrations at STOR-i CDT.
This talk will highlight the types of projects that data scientists might work on, and some of the skills that have come in useful.
A panel discussion on the career path of Women in Statistics and Data Science at Lancaster University as we celebrate International Women’s Day.