whet are advantages and disadvantages of different statistical graphs
Answers
Bar graphs
When you’ve got data that has different categories, a bar graph is excellent for displaying your info. You’re able to easily compare several data sets and it’s visually straightforward when someone reads it.
However, an issue with a bar graph is that it can only be used with discrete data (data that only takes on certain values). It can also be misleading, since if you organize a bar graph a certain way, it could emphasize a certain effect even though that effect isn’t actually that statistically relevant.
Other than a standard bar graph, there’s something called the double bar graph. Double bar graphs allow you to compare two sets of data across categories. You’re able to make comparisons across intervals (similar to a regular bar graph). Of course, there are also disadvantages to bar graphs. One of the main issues is that it’s hard to determine fractions or find percents in your data when you’ve laid everything out in double bar graphs.
Circle graphs
If you are working with data that use whole percentages, circle graphs will be perfect for you. Another name for circle graphs are pie charts. Keep in mind that the sum of the percents that you’ll have in your circle graphs have to equal to 100%. Other than the main advantage that circle graphs are able to show total percentages for each category that you’re displaying, it’s also visually appealing.
The cons of circle graphs is that it’s hard to compare two sets of data with each other. The numerical data that you display isn’t very exact. You should usually only use a circle graph if you have between 3-7 categories that you’re comparing. Lastly, circle graphs can only be used with discrete data.
Line graphs
Line graphs can give a quick analysis of data. You’re able to quickly tell the range, minimum/maximum, as well as if there are any gaps or clusters. This also means that it can easily observe changes over a certain period of time. When drawing them, you’re able to use exact values from your data.
So what are its disadvantages? Well, line graphs are generally good only when you have under 50 data values. It also requires that the range in your data not be too big. You may have noticed that the line graph isn’t as visually appealing as some of the other graphs we’ve explored as well.
Pictographs
Pictographs are visually appealing graphs that are best used with data that can be represented with symbols. It’s quite easy to read and can handle a large set of data well.
However, pictographs run into a problem when you’re trying to show partial icons. It’s a very simplistic type of graph, so you will not be able to show more complex observations in data sets with them. Lastly, it really only works well with 2-6 categories.