Tables,charts and graphs.
Bar graphs show a record in column form so over a period of time comparisons of the recorded information can be clear to see ADVANTAGES:- 1. Beautiful and neatly constructed diagrams/charts are more attractive then simple figures 2. Comparison is made easy and it will save time of the user to make quick comparison of large data. 3. You can record comparison between two things or objects.
3 because they are all in multiples of 3 3x4 and 3x13
You can use different colors or symbols to differentiate between the different plots.
The right answer is 3.( I think :D )
A title, labeled axes (for graphs), markings on the axes (again, for graphs) and units of measurement. You could use any of the above, based on your context
graphs,data and illustration
1. PICTORIAL GRAPHS. These are the kind found in mathematics and physics textbooks. Their purpose is to simply and clearly illustrate a mathematical relation. No attempt is made to show data points or errors on such a graph.2. DISPLAY GRAPHS. These present the data from an experiment. They are found in laboratory reports, research journals, and sometimes in textbooks. They show the data points as well as a smooth line representing the mathematical relation.3. COMPUTATIONAL GRAPHS. These are drawn for the purpose of extracting a numerical result from the data. An example is the calculation of the slope of a straight line graph, or its intercepts.
Tables,charts and graphs.
Roosevelt may have used data graphs to state that personal income and GNP dropped $40 billion during Herbert Hoover's term. The GNP decreased this amount in the span of 3 years from 1929 to 1932.
Almost any kind of graph can be used to show discrete data: You can use a line graph (most economic data), a bar graph (demographics), a pictogram, a pie chart, a scatter plot, radar. Although 3-d charts can also be used, they are very poor at conveying information because of the difficulty in interpreting depth.
A 3-unit scale is acceptable in physics graphs, depending on the range and detail required for the data being presented. It may be suitable for showing trends or patterns in the data with a moderate level of precision. However, for more detailed analysis or when small changes need to be accurately represented, a finer scale might be more appropriate.
Gap involves using graphs and line plots. The gap is a piece of data with no data in it between two pieces of data with data in it(there can be more than one gap between data pieces) For example, say people were being asked about their favored color. Out of ten people, 3 said yellow, 0 said orange, 4 said blue, and 3 said green. Orange would be the gap in the data.
No idiea
There Are Two main types of data. Qualitative data are expressed As numbers, obtained by counting or measuring. Another type of data is called an inference.An inference is a logical interpretation based on prior knowledge or experience.
1. To organize data in a meaningful, intelligible way. 2. To enable the reader to determine the nature or shape of the distribution. 3. To facilitate computational procedures for measures of average and spread. 4. To enable the researcher to draw charts and graphs for the presentation of data. 5. To enable the reader to make comparison among different data sets.
Multivariate is probably the most accurate answers. Graphs need not be bivariate - you can have graphs in 3 or more dimensions - not easy to visualise in more than 3-d but that does not mean they cannot exist. Graphs need not represent exact relationships - as any scattergram will demonstrate. Graphs are simply visual representations of information, presented in a form that [hopefully] conveys he information in an effective way. For one of my favourite semi-numeric graphs follow the link to see a graphical representation of Napoleon's invasion of Rusia.