The document provides guidance on creating and analyzing various types of graphs for a coursework project on surveys conducted during a trip. Key points include:
1) Graphs are needed for environmental, pedestrian, traffic, footpath, and tourist surveys from the trip. Scatter graphs require statistical analysis and trend lines.
2) Graphs must be titled, labeled on both axes, spell checked, and have titles and labels that are clearly legible.
3) An example is provided of analyzing a graph about environmental features at a visitors' center, noting values that support the graph's findings and potential ways to better manage tourism and the environment.
Curious about the different types of chart? This presentation demonstrates the variety of charts and their purpose. All these charts have been created using Chartblocks online chart building tool.
Curious about the different types of chart? This presentation demonstrates the variety of charts and their purpose. All these charts have been created using Chartblocks online chart building tool.
Top 8 Different Types Of Charts In Statistics And Their UsesStat Analytica
Are you confused about various Types Of Charts In Statistics? In this blog, you will get to learn about the various Types Of Charts In Statistics in detail.
Top 8 Different Types Of Charts In Statistics And Their UsesStat Analytica
Are you confused about various Types Of Charts In Statistics? In this blog, you will get to learn about the various Types Of Charts In Statistics in detail.
Slide to accompany a talk around how fieldwork should be approached in response to the 2016 GCSE Geography changes. Given as part of the Geographical Association's New Geography GCSE courses.
Dealing with the forest field study data Finding the data .docxrandyburney60861
Dealing with the forest
field study data
Finding the data for your focal species
1. Go on Canvas, Lab 10 folder, and download the spreadsheet with the data for your field
study time period (e.g. if you are in a B section, you will download the spreadsheet
Forest data - B sections - Monday 2pm).
2. The data for your focal species (in this example, R. ursinus) are in one of the
columns with the yellow label. E.g., R. ursinus (let’s assume that this is your group’s focal
species) is in column C. Data on abundance in the deciduous forest is in rows 11 - 71.
BIOL140 2019 - LABS 10+11 �1
If you scroll down, you’ll find data for the coniferous forest (here, rows 76 - 136).
Preparing the graphs for the presentation (with appropriately sized labels)
3. You will need to first get Excel to calculate the mean abundance for your focal
species (and it’s a good idea to also get the standard deviation) for the 60 quadrats
sampled. To do so, below quadrat #60 add a row for the mean and one for the SD. In the
appropriate cells (in your focal species column) have Excel calculate the mean and the
SD.
4. Do the same for the coniferous forest data (your mean and SD will be just below
the data in the last quadrat).
5. Find a clear space on the spreadsheet and set up a little ‘table’, similar to the one
shown in the figure below, where you’ll record the mean abundance for each of the two
sites and where you’ll have Excel calculate the standard deviation
BIOL140 2019- LABS 10+11 �2
6. To make your graph, proceed as you did for your Lab experiment results, but this
time we will use a ‘bar graph’ (known in Excel as ‘Column’ ‘Clustered column’. The error
bars should be the standard deviation. A few things to remember (that many groups missed
in their oral presentation:
❖ no title for the graphs (Excel will likely include a ‘Chart Title’; remove it)
❖ no ‘Excel legend’ (this is different from a figure legend…check the Conventions)
❖ yes proper axes labels! (If you have selected a graph style that does not give you
labels, you can add them in when you copy-paste your graph into your presentation
❖ A figure legend is optional.
BIOL140 2019 - LABS 10+11 �3
7. To format your graph such that it is suitable for the presentation, copy and paste it
into PowerPoint, ‘stretch it’ (to make it as large as possible), and don’t forget to make the
font size larger too! (It does not automatically get bigger as you ‘stretch’ the graph).
8. To change the font size you need to work in PowerPoint and:
❖ click on an axis label
❖ go to font>size and change the size to what you want it to be (recommended is 24, if
this looks really to big go with 20 — smaller fonts are very difficult to see from the back of
the room with the lighting available in the labs!)
❖ repeat with each axis label and with each axis.
It is also suggested that you change the colour of the bar graph to something very
visible that however does not mask the erro.
Why and how to make publication ready graphicsDavid Tng
Notes from a course presenting a simple system for making publication-ready graphics for scientific articles. Useful also for any type of simple graphic making. This document (an earlier version) can also be found on: https://www.researchgate.net/publication/305994435_Why_quality_figures_matter_and_how_to_make_them
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