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Data Presentation - How to present collected data in a precise and professional manner. Taught by:

How to present collected data in a precise and professional manner. Ta...
Module

Research Skills For Biology

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Students shared 9 documents in this course
Academic year: 2018/2019
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Data Presentation

Why Present Data?

To get the message across To support/test your hypothesis Something unique, controversial to say about your results

Allow other to judge out work

Science relies upon peer review, must present work to allow this to happen Others must be able to make their own judgements based on what is presented to them

How are data presented?

Figures and tables in reports, papers, oral presentations, and posters. Text and embedded into text, and on websites

General Points

Ambiguity

All data must be presented in a way that says what it means Data in figures and legends must match text

Clarity

Normally, raw data are not presented Analysed data will be in a format that is clear Use appropriate fonts and things!!!! Usually less is more (dont fuckin use everything ur given dipshit!!)

Format

Look at other figures and see what looks nice my g!!! All figures and tables have legends (massive legend here) People should be able to understand them on their own - gotta be simple as shit yo!!!! Always double check ur figures!!! U mightve input something wrong!!!

Work to Guidelines

Usually have guidelines for authorship and presentation If u dont follow them, theyll just be sent back bitch, so do it right!!

Accuracy

Shouldnt be a problem with R!! (although we all know how shit it can be) Use like 3 decimal places in calculations, and in tables, but sometimes round to 2 instead, looks better!!

Labels and Legends (wow me)

Fully informative (people should be like “aw shit i know what this is”) Stand alone Go for clear, visual impact What excel and minitab call legends are not sufficient (because im the only legend here)

Table or figure?

Info in figures is usually easier to understand (and is also prettier) - sometimes cant get exact details from figures though

Tables: Content and style

Tables are rly good for data that doesnt need to be assimilated (destroyed??) but does need to be presented Suit non-numerical data!!! Good for wordy shit!!!

Table formatting tips

Title!!! A good title is key my man!!! Column headers aligned to centre - make it look pretty as shit!! Units of measure in column title (like (mm/s) or some shit) Only horizontal lines!!!!! No verticals!!!!!! Numbers aligned by decimal point Legend explains what was done to obtain the data Descriptive stats and abbreviations explained below to make table small and easy

Figures: what kind of plots?

Proportional or absolute data Continuous or discontinuous data??? correlative/recessive data? Single data points or mean?? Stat tests on plots?? Specialist types of presentations???

Bar charts

Allows numerical and proportional data Easy to compare things!! Can get cluttered though if too many data thingies Good for general descriptions, not super in depth Good for trends and shit

Pie charts

Only proportional data Need additional legends and additional info Good for non-numerical data (surveys and things!!!) Not always so great for showing trends

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Data Presentation - How to present collected data in a precise and professional manner. Taught by:

Module: Research Skills For Biology

9 Documents
Students shared 9 documents in this course
Was this document helpful?
Data Presentation
Why Present Data?
To get the message across
To support/test your hypothesis
Something unique, controversial to say about your results
Allow other to judge out work
Science relies upon peer review, must present work to allow this to happen
Others must be able to make their own judgements based on what is presented to them
How are data presented?
Figures and tables in reports, papers, oral presentations, and posters. Text and embedded
into text, and on websites
General Points
Ambiguity
All data must be presented in a way that says what it means
Data in figures and legends must match text
Clarity
Normally, raw data are not presented
Analysed data will be in a format that is clear
Use appropriate fonts and things!!!!
Usually less is more (dont fuckin use everything ur given dipshit!!)
Format
Look at other figures and see what looks nice my g!!!
All figures and tables have legends (massive legend here)
People should be able to understand them on their own - gotta be simple as shit yo!!!!
Always double check ur figures!!! U mightve input something wrong!!!
Work to Guidelines
Usually have guidelines for authorship and presentation
If u dont follow them, theyll just be sent back bitch, so do it right!!
Accuracy
Shouldnt be a problem with R!! (although we all know how shit it can be)
Use like 3 decimal places in calculations, and in tables, but sometimes round to 2 instead,
looks better!!