Additionally, charts are visually appealing, easy to make a comparison, and simplifies complex information into an impactful visualization. For example, the users can mouse over the line to see the population at a specific year and age group which allows them to draw conclusions easily. Moreover, if the user wants to remove or add a certain age group they can easily modify the line chart to draw the needed information. However, as the number of groups increases, it can clutter the charts making it difficult to interpret. Having uneven class intervals can make it difficult to read the visualization accurately and possibly mask important patterns in the data. For the second audience group, I decided to use a bar chart to show the population by all fifty states, in which the top ten states are highlighted with a different color. Bar charts can display a large amount of data and trends in an easily interpretable form. Additionally, members can make estimates accurately and display relative proportions of multiple categories. However; the biggest flaw of bar charts is the inability to expose key assumptions, causes, and patterns. Moreover, they require additional assumptions, causes, and can be easily manipulated to give an incorrect analysis. In this visualization clicking on the play button while showing the state population transformation over the past century which will attract the users in the younger age group. Additionally, if the user doesn’t want to view the transformation they can scroll the horizontal bar to a specific year and mouse over the bars to see the population value for each bar and the top 10 populous states. The main flaw with this visualization is overlaying text of the states which disrupts the visualization and makes it difficult to view the bar height relative to the other states. Understanding the audience and their
Additionally, charts are visually appealing, easy to make a comparison, and simplifies complex information into an impactful visualization. For example, the users can mouse over the line to see the population at a specific year and age group which allows them to draw conclusions easily. Moreover, if the user wants to remove or add a certain age group they can easily modify the line chart to draw the needed information. However, as the number of groups increases, it can clutter the charts making it difficult to interpret. Having uneven class intervals can make it difficult to read the visualization accurately and possibly mask important patterns in the data. For the second audience group, I decided to use a bar chart to show the population by all fifty states, in which the top ten states are highlighted with a different color. Bar charts can display a large amount of data and trends in an easily interpretable form. Additionally, members can make estimates accurately and display relative proportions of multiple categories. However; the biggest flaw of bar charts is the inability to expose key assumptions, causes, and patterns. Moreover, they require additional assumptions, causes, and can be easily manipulated to give an incorrect analysis. In this visualization clicking on the play button while showing the state population transformation over the past century which will attract the users in the younger age group. Additionally, if the user doesn’t want to view the transformation they can scroll the horizontal bar to a specific year and mouse over the bars to see the population value for each bar and the top 10 populous states. The main flaw with this visualization is overlaying text of the states which disrupts the visualization and makes it difficult to view the bar height relative to the other states. Understanding the audience and their