Data Visualization Analysis

  For this assignment, we were refining our map from last week. One thing I did differently, it was that I went back and changed the type of map I was using, opting for one with brighter colors and city names for better visibility and understanding the location of the libraries. The vector elements I added were the points for better visibility, as well as the label and legend. I think the Gestalt principles guided me in the color choice to draw the viewer in. Overall, I think the map ended up with good visibility and nice colors that grab the viewers attention. 

  Map of Public Libraries in Miami-Dade County https://docs.google.com/spreadsheets/d/1T17POMNsTbxoCZmJmeO4m2vuOLzXWeINip18Q1LwdNE/edit?gid=1338048746#gid=1338048746 This is a map of the public libraries in Miami-Dade County that I created using a dataset and Tableau. The primary challenge I faced when creating this map was selecting a suitable dataset. The first one, I found some cities and locations were not showing, it was because Tableau was not recognizing them properly, even though they were spelled correctly. After switching to a different dataset, it all worked much nicer.  I used the same consistent color and size across all the points ot reate similarity between them and convey that to the viewer. Making all points the same tells the viewer they all represent public libraries. The principle of proximity allows us to see clusters of libraries in those heavily populated areas. I think this map could be further improved by adding more detail, like increasing the point s...

           Source:  ourworldindata.org      For this assignment, I have chosen a data visualization from Our World in Data, which shows the internet usage by country, measured as the percentage of the country's population.       In this visualizaiton we can see a world map where each country is shaded based on its level of internet usage. The darker shaded regions show a higher usage percentage, and the lower shaded region shows a lower percentage of usage. This color gradient approach allows for easier visualization of the difference from one country to another. This map also gives you the ability to select the year dating back to 1990, so you can see how the use of the internet has evolved over the years.      I believe this visualization was created by humans and not AI. The choices of using this shaded color and pecentage of usage make it very easy to understand the information presented....