Danni Hu InfoVis Final Project
Seattle Lags Behind Other Big Cities in Sheltering Homeless in 2012​ (1st Iteration)
In the First Iteration, I created two versions:
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a scattered plot graph, which visualizes the Sheltering Rates and Total Unsheltered homeless people at the same time.
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a stacked bar chart that visualize Sheltering Rates. By filling the rest of the bars in red, Unsheltering Rates are presented.
In order to emulate the model infographic, both of the diagrams adopt the color scheme used in the modal. The style of the map emulates the one in the modal.
Displays that exploit the visual potential of numbers
Critique Feedback
First Graph:
Feedback 1: the color scheme in this visualization is too muted. And the font size is too small, which makes it hard to read. The rectangle for Seattle should be larger to differentiate it from other cities.
Feedback 2: I like the scattered plot graph. The information behind is obvious and clear. However, the line between the scattered plot graph is confusing, I cannot tell which square is connected to which. Proposed solution: swop two ends of x-axis.
Feedback 3: I like it. Maybe we can use different colors to represent different cities.
Feedback 4: you are trying to present one idea using two graphs. However, these two does not seem to be one whole thing. How about getting rid of the border of the first graph, and flip the current white and grey area. Using red for the line between Seattle could make Seattle stand out.
Second Graph:
Feedback 1: the two colors are confusing, not sure what did they mean until saw the 100% label in the vertical axis. It would be helpful adding annotations to explain the meaning of these two colors.
Feedback 2: It will be sufficient to present the information/ideas if there are only yellow bars.
Feedback 3: Probably a good idea to highlight Seattle.
Critique Feedback
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First Graph:
Feedback 1: different font weights used in the labels of different sections seems to implicate that the area labeled with larger fonts is more important.
Feedback 2: The white color used for "Minor" looks like flaw in design.
Feedback 3: Verticle axis is meaningless. It is hard to use it as a reference to find the accurate number.
Feedback 4: 1 person/ love it! it is easy to get the information behind this graph.
Second Graph:
Feedback 1: Like it as it is easy to tell the exact numbers for each section.
Feedback 2: why there are no number for minor?
Feedback 3: too much information in one graph.
One Night Count Result
(2010 - 2014)
(1st Iteration)
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My second numeric visualization is intended to present the result the recent five year's One Night Count Result, especially the trend of homeless populations in Seattle and the gender distribution.
One Night Count is the annual point-in-time counts of homeless people without Shelter in Seattle area organized by Seattle/ King County Collition on Homelessness.
In my first Iteration, I created 2 versions:
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an area diagram: although it is problematic by showing discrete number with areas. I like it as it is easy to observe general trend (highlighted with red line), and trend in each gender section.
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a bar chart
Both of the diagrams adopt the color scheme used in the modal.
Seattle Lags Behind Other Big Cities in Sheltering Homeless in 2012​ (2nd Iteration)
Based on the suggestions I got from critics, I made following changes:
1. re-arranged the lines (the height of the turning point now depends on how "left" the coresponding city is in the map); I also adjusted the vertical spaces between two lines
2. flip the background color and the color of the map
3. further highlight Seattle by making the connecting line red
One Night Count Result
(2010 - 2014)
(2nd Iteration)
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The main purpose of this infographic is to show the general trend of unsheltered homeless people in Seattle area. It tries to visualize what is the gender distribution like within this group of people, instead of exact number of homeless people in each section.
Based on the rationale described above, I chose the first version.
In response to the critics, I make slight change of the color ("Minor" from light yellow to grey). But the color scheme remain consistent with the one of my modal infographic. I also change the way different gender sections are labeled in order to make sure each gender is neutrally presented.
Critique Feedback
Feedback 1: axis label should start at zero to avoid misleading the viewer (other wise the differences appear exaggerated)
Feedback 2: it takes time to trace each line...that isn't a good sign because it means the viewer isn't able to see what is happening at a glance. Compare to this map: http://gdb.voanews.com/9C3A5117-E262-4E4C-9824-3FBDE8E0994E_mw1024_n_s.jpg
Critique Feedback
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Feedback 1: The order of categories in the area chart seems odd. Why not go smallest to largest or vice versa?
Feedback 2: It will be helpful to have some text helping the viewer to understand the data better. For example, how were people counted (and how accurate do they think it is)? Why is the gender of so many people unknown? That group is so large that it makes the other information not very meaningful (e.g. if 75% of the "unknown gender" people are actually women, then there are more women than men who are homeless).