Summarising and presenting AMR data

Introduction

This module introduces common ways of summarising data visually, reviews the strengths and limitations of each approach, and discusses how you can use visual summaries to enhance the analysis of AMR-related data. The module explores the effectiveness of visual summaries in communicating important information to a wide range of people. You will have the opportunity to reflect on the most appropriate ways to visualise AMR-related data, to look for patterns and trends, and identify errors in this data.

This module is part of a series related to AMR data. It is recommended that you first complete the modules Fundamentals of data for AMR and Processing and analysing AMR data to understand AMR data and data analysis principles.

By the end of this module, you should be able to:

  • describe the different ways to represent data visually
  • explain why visual summaries of data are an essential part of AMR data analysis
  • review the strengths and limitations of each visual presentation
  • make a simple graph and map using AMR data.

Activity 1: Assessing your skills and knowledge

Timing: Allow about 10 minutes

Rate these statements below on how confident you feel about them. This is for you to reflect on the knowledge and skills you already have.

  • 5 Very confident
  • 4 Confident
  • 3 Somewhat confident
  • 2 Slightly confident
  • 1 Not at all confident
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1 Recap: AMR data and analysis