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Experiment with different types of graphs and select the most appropriate.

What Is A Graph?

Graphs and charts are visual representations of data in the form of points, lines, bars, and pie charts. They are convenient ways of displaying large quantities of information in the form that is quick and simple to understand. Using graphs or charts, you can display values you measure in an experiment, sales data, or how your electrical use changes over time. Types of graphs and charts include diagrams, tables, maps, line graphs, bar graphs, and circle/pie charts. Different types of graphs and charts display data in different ways, and some are better suited than others for different uses. To interpret a graph or chart, read the title, look at the key, read the labels. Then study the graph to understand what it shows.

A graph is usually a drawing or a chart, which shows the relationship between changing things. People also refer to a graph as a diagram showing the relationship between amounts or numbers. Usual graphs make use of lines, bars, or parts of a circle to show the data. In other words, a graph represents facts in an apparent manner. It is a kind of diagram, which shows the comparative size of statistical quantities. Hence, a graph is termed the simplest method to compare numbers. You can use graphs to show several types of data, because they are not just restricted to the simpler types as such circle, bar, and line graphs. You can liberally use graphs to make facts more apparent and logical. Importance of Graphs to have a Clear Idea: Graphs are undoubtedly a handy way to depict your data in an apparent manner. You just need to make sure the way to display your results with correct graph form. The x and y axes on bar and line graphs ought to be correctly labeled with appropriate units of measure. You can use metric units to label these axes. The line, bar, and circle graph depicts different types of data and below mentioned is a general description of these graphs: Bar Graph: You can use bar graphs to display the relationship among groups. Any two items that you will be comparing need not necessarily influence each other in any way. It is also a quickest way to display huge difference. Line Graph: You can use line graphs to depict continuing data, for how one thing is influenced by the other. You can clearly see how things are progressing by the fluctuations shown in line graph. Such types of graphs are necessary to display the consequence of independent variables on dependent variables. For example, pulse rate of a person is clearly viewable in a line graph. Since, the time continues and the pulse rate keeps on changing. Circle or (Pie) Graph: A pie graph or circle graph will help you to display a part of something that relates to the whole. Usually, circle graphs are a key way to show percentages efficiently. Area Graph: You can use area graphs to display things, which change over time. These graphs have an x-axis (horizontal) and a y-axis (vertical). Generally, the x-axis denotes the time scale, whereas the y-axis denotes what you are measuring. You can use area graphs specifically, when you think to plot data that has ups (peaks) and downs (valleys) or for data collected over a short period. One real example of area graph would be the graph required to show percentage of high school graduates, who have completed advanced English courses over a period. Some graphs are easy to understand, while some are a bit complicated. You have to be a bit careful while you work on graphs, as there are several types of graphs with each one having moderate and definite use. A good graph
  • accurately shows the facts
  • grabs the reader's attention
  • complements or demonstrates arguments presented in the text
  • has a title and labels
  • is simple and uncluttered
  • shows data without altering the message of the data
  • clearly shows any trends or differences in the data
  • is visually accurate (i.e., if one chart value is 15 and another 30, then 30 should appear to be twice the size of 15).
Why use graphs when presenting data? Diagrams...
  • are quick and direct
  • highlight the most important facts
  • facilitate understanding of the data
  • can convince readers
  • can be easily remembered
There are many different types of graphs that can be used to convey information, including pictographs, tally charts, bar graphs, histograms, line graphs and pie charts. Knowing what type of graph to use with what type of information is crucial. Depending on the nature of the data some graphs might be more appropriate than others. Yet, a graph is not always the most appropriate tool to present information. Sometimes text or a data table can provide a better explanation to the readers—and save you considerable time and effort. When is it not appropriate to use a graph? You might want to reconsider the use of a graph when
  • the data are very dispersed
  • there are too few data (one, two or three data points)
  • the data are very numerous
  • the data show little or no variations
 

Consider the following instructions and their appropriate terms when labelling the graph or describing features of it in accompanying text:

 

Determine the nature of the message
If your graph will... Use the following terms...
describe components share of, percent of the, smallest, the majority of
compare items ranking, larger than, smaller than, equal to
establish a time series change, rise, growth, increase, decrease, decline, fluctuation
determine a frequency range, concentration, most of, distribution of x and y by age
analyse relationships in data increase with, decrease with, vary with, despite, correspond to, relate to
do any combination of the above actions e.g., 'percentage of dropouts among the 15 to 24 age group has increased because of....'

Experiment with different types of graphs and select the most appropriate.

  1. pie chart (description of components)
  2. horizontal bar graph (comparison of items and relationships, time series)
  3. vertical bar graph (comparison of items and relationships, time series, frequency distribution)
  4. line graph (time series and frequency distribution)
  5. scatterplot (analysis of relationships)

 

 





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