__Line Graphs and Bar Graphs__
- Simple Line Graphs = drawn to show a single series of data e.g precipitation

- Comparative Line Graphs = show two or more data sets on the same graph. Often, lines are drawn using the same scales on the x-axis and the y-axis e.g flood-storm hydrograph

- Compound Line Graphs = drawn with several different components (AS students, bewarned you will see a lot of these in the Energy module!). Important to remember to use axis to measure the 'bands/layers' separately.

- Divergent Line Graphs = used when one set of data is proided for part of the period under consideration and then this data set is split into separate components for another part of the period.

A similar variety of bar graphs exists.....

- Simple Bar Graphs = shows a single set of data

- Comparative Bar Graphs = shows two or more sets of data. The columns for each division along the x-axis are drawn side by side

- Compound Bar Graphs = show how the total in any one bar is divided up between a number of subtotals

- Divergent Bar Graphs = start as simple bar garphs but then become compound bar graphs when subtotals become avaliable

__Advantages of using Bar Graphs__

- show each data category in a frequency distribution
- display relative numbers/proportions of multiple categories
- summarize a large amount of data in a visual, easily intepretable form
- make trends easier to highlight than tables do
- estimates can be made quickly and accurately
- permit visual guidance on accuracy and reasonableness of calculations
- accessible to a wide audience

__Disadvantages of using Bar Graphs__

- often require additional explanation
- fail to expose key assumptions, causes, impacts and patterns
- can be easily manipulated to give false impressions

__Scatter Graphs__
- Positive Relationship = both variables increase

- Negative Relationship = one variable increases and the other decreases

- No Relationship = no pattern, ith points distributed at random

- Strength of the relationship presented is also indicated, once a line of best fit is drawn (although, it is not always suitable to draw one). The greater the number of points within a closer proximity to the best fit line the stronger the relationship; allowing analysis to be made upon which conclusions can be drawn. Such analysis is subjective though and so often carrying out a Spearman's Rank is a better option, if you want the most accurate and precise expression of strength and reliability of the relationshiop between variables.

- Strength of the relationship presented is also indicated, once a line of best fit is drawn (although, it is not always suitable to draw one). The greater the number of points within a closer proximity to the best fit line the stronger the relationship; allowing analysis to be made upon which conclusions can be drawn. Such analysis is subjective though and so often carrying out a Spearman's Rank is a better option, if you want the most accurate and precise expression of strength and reliability of the relationshiop between variables.

__Pie Charts__

angle =

__number in the category__x 360

total number

__Advantages of using Pie Charts__

- display relative proportions of multiple classes of data
- size of the circle can be made proportional to the total quantity it represents
- summarize a large data set in visual form
- be visually simpler than other types of graphs
- permit a visual check of the reasonableness or accuracy of calculations
- require minimal additional explanation
- be easily understood due to widespread use in business and the media

- do not easily reveal exact values
- Many pie charts may be needed to show changes over time
- fail to reveal key assumptions, causes, effects, or patterns
- be easily manipulated to yield false impressions

**= really just a scatter graph that shows three sets of variables**

__Triangular Graphs__
- usually used when plotting employment structures (primary, secodnary and tertiary sectors) or soil structure

**= plotted to describe distribution of different species along a transect line; so used to compare changes in different variables**

__Kite Diagrams__
- most commonly used for dune transects

__Radial Diagrams__
Used to show:-

- ORIENTATIONS as given by points on a compass; often used to indicate oreintations of particles in glacial deposits so direction of ice flow can be determined

- CONTINUOUS CYCLE, such as daily or annual progressions

__Dispersion Diagrams__
- Sometimes called 'Box and Whisker plots'

- Used to show spread of a number of values, displaying range, median, interquartile range, lower quartile range and upper quartile range

I realise that this isn't the most exciting stuff to read but I couldn't think of a more interesting way to write this all up - however, fellow A2 students there is hopefully some Poole-related intertactive timelines and maps on the way! But first, I need to cover statistical tests, especially considering how much my class seemed to 'love' doing them last week.....

Thanks for posting this blog, what a great way to summarise your learning - I hope it's working for you, it certainly helped me to clarify a couple of points. Keep it up please!!

ReplyDeleteThanks, it is always great to hear that other people find this helpful - just let me know if there is anything you would like me to write about! It helped me a great deal with my A-levels!!!

Deletei'm doing my AS and thanks so much this is so useful!!

ReplyDeleteI am glad its helpful to you - good luck with your exams!

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DeleteThank you so much, this is so useful! Please keep on updating :)

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