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Ideas for Scientific Data Analysis Presentation

What Is So Important About Scientific Data Analysis?

It does not matter which field of study you have entered you are going to find that you need to fully understand scientific data analysis if you are going to manage to conduct any research. So even if you are one of those students who struggle with basic math you are going to have to work hard to be able to understand the science behind manipulating and analyzing data so as to be able to prove your thesis and back up your research. Scientific data analysis is so important that you will find that there are many workshops and courses being offered by the different universities such as the Department of Social Sciences at Loughborough University which is offering a full 22 week module of studies to help with the task of scientific data analysis.

statistical data analysis schema

Using Scientific Data Analysis

We live now in a society in which there are huge amounts of data available to us from sales information through to hospital medical records and other information. The challenge with all of this data is to be able to draw out real information from it that is going to be of value. This is often a major challenge; after all having a huge spreadsheet full of data is often of no value at all as we cannot make sense of the often huge amount of data that is in front of us by just looking at it. For scientific data analysis we often need to use computer software to convert that raw data into a form that we can use to see relationships between the many different variables. Software can be as simple as using excel to create graphs through to SPSS software or even Topographical Data Analysis (TDA) packages. The aim of most of these packages however are to very simply turn that data into a pictorial representation of data that we can use.

What Does Scientific Data Visualization Have to Show?

Data visualization in sociology or any other subject is vitally important in firstly understanding what is going on with the data and then in being able to present that data to your peers in a manner that everyone will understand. Simple visualization techniques for scientific data analysis as well as for quantitative data analysis are vital in doing your research and then presenting what you have found. You need to ensure however that you choose the simplest and easiest to understand techniques rather than trying to be clever and creating complicated visuals that only you can understand. A good visual for scientific data analysis should;

  • Clearly show the data without any form of distortion
  • Make the reader think about the data and what it means rather than the visual
  • Be able to display large amounts of data in a small space
  • Make sense of large data sets easily
  • Not be confusing or overly complicated
  • Should be able to stand on its own outside of your report

Forms of Visualization You Can Use for Scientific Data Analysis

There are many different techniques that can be used to provide  visualization within scientific data analysis and you should always seek to use the simplest and most appropriate tool rather than trying to impress with your knowledge of tools and methodology. The aim of your paper and your analysis is to show the information not to show your skills with different techniques. There are many tools that you can use and the following list will provide you with just a few of those that you could use within your scientific data analysis;

Graphs and bar charts; from simple line charts and histograms through to pie charts. Simple to use and create but more often than not the most appropriate tools to use

Network charts and relationship diagrams; using size and color to indicate the strength of a relationship

Simple maps with the use of color or other scientific data visualization techniques

Gantt charts and other time related tools

Scatter graphs; similar to simple line charts but you show the individual data points to show clusters. These can also be done in three dimensions to show relationships between more than two variables

Topographical Data Analysis; these techniques can be used to show relationships between multiple characteristics over many dimensions in a similar way to a scatter graph

Learn everything about using scientific data visualization today!