Module - Visualisation and Presentation of Data (SBI221)

STP

Aim of this module

The clear and accurate presentation of the results of analysis is an essential part of the epidemiologist and data scientist skill set. The aim of this module is to provide trainees with the knowledge and skills to create appropriate and actionable visualisations from a wide range of data and the results of their analysis. The aim of this module is to enable the trainee to apply their knowledge as they develop skills to clearly and accurately present the results of epidemiological analysis, for example an outbreak investigation, a risk factor analysis, or an analysis of health service use. The audience will vary according to the analysis but could be an outbreak control team, a local authority public health team, or a planning and commissioning organisation.

Work-based learning outcomes

  1. Select and create appropriate charts or plots for at least two different audiences using a defined data set.
  2. Create clear and accurate charts in a range of software.
  3. Create a simple infographic.
  4. Create a simple interactive data product using public health data.
  5. Use graphing tools (e.g. ggplot2 used in R), visual exploratory data analysis tools (e.g. Tableau) and interactive tools (e.g. Tableau Public, Plot.ly and RShiny).
  6. Present health data using a Geographic Information System (GIS) and assess how the findings might be used to inform local or national public health action.

Work-based Competencies

Learning outcome Title Knowledge
1 1

Identify a public health topic that could be informed by data visualisation.
  • The impact of visual perception on the construction of data presentations for different audiences, e.g. public, patients and decision makers.
  • The range of data presentations available, e.g. tables, graphs, maps and infographics.
  • How to select the most appropriate presentation modality for different data types and audiences.
2 1

Identify the appropriate data set.
  • How to identify the target audience.
  • How to characterise the needs and prior knowledge of the audience.
  • How to select the type of visualisation that is appropriate for the data.
  • How to interpret the data.
  • How to determine if the information/message has been understood, by the target audience.
3 1

Define the target audience and select a suitable type of visualisation to communicate the important messages in the data to the audience.
  • How to identify the target audience.
  • How to characterise the needs and prior knowledge of the audience.
  • How to select the type of visualisation that is appropriate for the data.
  • How to interpret the data.
  • How to determine if the information/message has been understood, by the target audience.
4 1

Create the visualisations and gain feedback from the intended audience.
  • How to create the visualisation.
  • Testing the effectiveness of the visualisation.
5 2

Identify available software packages and practise creating charts.
  • The range of data presentation software available.
  • Strengths and weaknesses of each software package.
  • Considerations for creating charts for people with disabilities.
  • How to evaluate charts and infographics.
6 2

Gain feedback on each chart, identifying areas for improvement.
  • The range of data presentation software available.
  • Strengths and weaknesses of each software package.
  • Considerations for creating charts for people with disabilities.
  • How to evaluate charts and infographics.
7 3

Identify a suitable software tool for producing an infographic.
  • The range of software tools for producing infographics available.
  • How to evaluate and select the most appropriate software tool for producing presentations.
  • Considerations for creating infographics for people with disabilities.
8 3

Identify a suitable data set and define a target audience.
  • How to identify the target audience.
  • How to characterise the needs and prior knowledge of the audience.
  • How to select the type of visualisation that is appropriate for the data.
9 3

Create an infographic and gain feedback, identifying areas for improvement.
  • How to create effective infographics.
  • How to evaluate charts and infographics.
10 4

Choose an interactive tool to create an interactive product from public health data.
  • The principles and uses of interactive data products.
  • Strengths and weaknesses of interactive data products.
  • Considerations for creating interactive data products for people with disabilities.
  • How to evaluate interactive data products.
11 4

Identify suitable data sets and define an appropriate audience.
  • The principles and uses of interactive data products.
  • Strengths and weaknesses of interactive data products.
  • Considerations for creating interactive data products for people with disabilities.
  • How to evaluate interactive data products.
12 4

Create an interactive data product using the chosen tool and gain feedback, identifying areas for improvement.
  • Methods to evaluate interactive data products.
13 5

Choose at least one graphing tool and at least one interactive tool.
  • How to evaluate and select the most appropriate software tool for producing presentations.
14 5

Identify suitable data sets and define an appropriate audience.
  • How to evaluate and select the most appropriate software tool for producing presentations.
15 5

Create a visualisation using each of the chosen tools and gain feedback, identifying areas for improvement.
  • Methods to evaluate interactive data products.
16 6

Identify a health data set that has suitable geographical data.
  • The concepts of Geographic Information Systems (GIS) and the application of GIS to public health.
  • How to identify the advantages and disadvantages of GIS and steps to be taken to quality assure the use of GIS in Epidemiology.
  • Consideration of disclosure risk.
17 6

Decide which geographical level(s) is/are appropriate for the analysis.
  • The concepts of Geographic Information Systems (GIS) and the application of GIS to public health.
  • How to identify the advantages and disadvantages of GIS and steps to be taken to quality assure the use of GIS in Epidemiology.
  • Consideration of disclosure risk.
18 6

Undertake and interpret the analysis.
  • How the findings might be used to inform a local or national public health action.
  • The importance of being able to be able to practise as an autonomous professional and exercise professional judgement.
19 6

Present the findings and defend the interpretation in a peer setting.
  • How the findings might be used to inform a local or national public health action.
  • The importance of being able to be able to practise as an autonomous professional and exercise professional judgement.

Work-based assessment

Complete Case-Based Discussion(s)
Complete of the following DOPS and/or OCEs
Type Title