The most important purpose of graphs and charts is to read the gathered information or data easily with the help of a virtual graphic. These graphs are very useful in conveying the data which includes hundreds and thousands of numbers and various variables in just one graph/chart. If a chart is presented in a smart way it can be the most powerful tool to reach the masses effortlessly. If any given information is presented in graphs/charts, it has more impact on people than reading a whole article, report or paper about it. That is why graphs/charts are a popular choice in any kind of media articles and research reports because they help elucidate data in a much simpler way. However, sometimes the chart is not presented in a way which can be easily readable and interpretable. That can lead to misinformation regarding the results of the research as well as decreased interest in particular research.
The above chart depicts the number of newly married adults per 1000 marriage eligible adults for years 2008, 2009, 2010, 2011 and 2012 for different age groups. This is an elaborate chart which has information for 5 years and for all the adult age groups. Any person who is interested in gathering all the information about this research can read the chart very easily. Bar graph with various color shades helps in distinguishing the years for which the data is presented. Also, it provides total number of adults per 1000 marriage eligible adults to summarize the whole research. By merely looking at the chart one can understand if marriage rate increased or decreased with each passing year.
Although, in my opinion there are some drawbacks to this chart which cannot be ignored. Firstly, there needs to be vertical axis which can show the number of adults. Secondly, individuals who are interested in knowing the data for the years 2009, 2010 and 2011 cannot interpret the number since vertical axis with numbering on it doesn’t exist. They will have to assume that data in regard to 2008 and 2012 numbers as these are the only ones available. Also, according to me it is critical to round up the number of people for each age group category as individuals cannot be measured in decimal points.
If I was given an opportunity to improve this chart, I will add vertical axis with increment of 5 or 10 number of people to give exact number of people for each age group who are newly married per 1000 marriage eligible adults. It will also be beneficial to interpret the data for years 2009, 2010 and 2011 where the number is not clearly mentioned. I will mention the number for each age group on top of the bar like 2008 and 2012. As mentioned above, I would like to round up the number to give it more readability. With all of these additions, I think it will be easier to interpret the above chart and understand the research topic.