Benji Schwartz-Gilbert
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Quentin Christensen
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The user for this chart is someone comparing average annual salary for their job in different metro areas. They may currently work in Seattle and plan to Move to San Francisco and with this graph they can compare how much higher the annual salary is in San Francisco. The message is a comparison of salaries for a specific job (Agents) in different metro areas. This is a ranking and is sorted in descending order. It is effective because it is sorted and has faint graph lines for the 10,000 level marks making it easy to compare values.


This chart is for users wanting to compare pay for their career in different states for if they plan to move to a different state or see how their pay compares to other areas. This is a ranking that communicates different mean salaries for different states. It is ranked and uses a bar chart so it is easy to compare different values.


The users for this graph are interested in the number of jobs in a certain position. The total amount of employment in a certain career may be important for making a decision to enter that career. This is a ranking or nominal comparison. The horizontal bar chart makes it easy to compare values and allow the names for various careers to be fully displayed and easily read.


This graph compares the 90th and 10th percentile ranges for mean salary for computer careers. Users can compare the top 10% to the bottom 10%. The user is someone interested in comparing pay variance for their position and to other positions. The message is the variance in pay for the upper and lower 10%. This graph is good because both scales are equal, the colors for the different values are distinct, it is easy to compare values, and you can see the correlation between upper and lower 10% ranges.

Heather Lahde
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This graph shows the total number of employees for each state (US Territories have been filtered out). This would be useful to individuals associated with the US Department of Labor, statisticians, and federal funding groups. This visualization is effective as it is fairly straightforward and additional data not related to number of employees per state has been left out. The states were shown in alphabetical order for ease of location, but an alternative presentation would be to show them organized by ranking in descending order.


This graph shows the ranking of the computer-related occupations in Washington State by mean annual salary. The intended audience of this visualization is the US Department of Labor, statisticians, individuals seeking computer-related occupations, and employers in computer-related industries. As there is no specific ordering needed for these occupations, they have been sorted in descending order based on their overall mean annual salary. This type of visualization is most useful as it makes it easier to compare the salaries of two computer-related occupations and get an overall sense of which types of computer-related occupations pay the highest annual salaries.



Both graphs shown contain the same data, which is showing the 25th percentile, Mean, and 75th percentile for annual salary of Washington state legislators. These types of visualizations would be useful for the US Department of Labor, statisticians, and those involved in setting legislator’s salaries. The first graph is effective as the scale has been adjusted to correctly represent the differences in the various percentiles. The second graph is more useful for determining trends across the years as the lines make it easy to see variation with time. The data shown is for May of each year, and additional months/years were not added as they were not consistent across the time scale.

Daniel Kim
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Ranking of Hourly Salary of IT Related Occupations

The visualization above represents the ranking of hourly mean salary of IT related occupants. The audience of this visualization would be students and general job hunters who mainly participate in information technology field. The vertical axis is the hourly mean salary of the occupants, and the horizontal axis represents the title of occupations. Through this visualization users can discover various IT jobs and identify their expectation on hourly salary of the occupation. The top rank occupation is the “computer an information systems managers.” The ranked bar graph effectively communicates the message with its ranking relationship so that the viewers can easily identify and compare the hourly salary and the ranks of the occupations

Distribution of Engineers by State

This visualization displays the distribution of engineers by state. The main audiences for this visualization are the engineers across the country and researchers. The vertical axis represent the total employment and the horizontal axis displays the states. The color legend displays corresponding occupation title. Users can identify the distribution of engineers of specific field by state. The line graph effectively displays the distribution of engineers and the color coordination makes it easy for users to identify the types of engineers.

Average Annual Salary and Employment of WA Cities

The visualization above shows the average annual salary and employment by the cities in Washington State. The main audiences for this visualization are job hunters and general researchers. The vertical axis represent the average annual mean and the horizontal axis shows the city names. The color saturation represents the total employment of the city; the darker color means more employment. Users can evaluate the difference between average annual salaries the total employment among different cities. The use of bar graph for nominal comparison effectively communicates the relationship and the color saturation makes it easy for users to recognize differences of total employment by city.