I chose this topic because I think it’s important for characters (as well as TV personalities) of color to have more visibility in television. Diversity needs to be reflected in popular culture for reasons that are needless to say. Throughout the years, people of color on TV and movie screens have increased yet wavered at the same time. I feel that in the present day more diverse shows are on the rise. I  chose TV shows from the past up to the present, many of which are very successful. 

View table and spreadsheet.

Map:

Bar Graph: 

Pie Charts

Network Graph:   

Here is a link to my Google Fusion Graphs about athletes:

https://www.google.com/fusiontables/DataSource?docid=1ap5KbokRsqDNYB2M1g-oUkHamtsDbiReM86q-_k1

Cards:

Maps

Bar Chart:

Pie Chart:

Network graph:

and Url:https://www.google.com/fusiontables/DataSource?docid=1jN3JofxVaKwO1Mh3k21oT6JxoKwIR7gpYbbXaV65

Oldest Trees in the World

Fusion Table link

And the tables analyzing oldest trees by age, type, dead or alive and location:

Location of the Oldest Trees in the World

Link to spread sheet: https://www.google.com/fusiontables/DataSource?docid=1uJSEpWfF6U1SOOq7jw3Acw7BQg0UhWhjtkxAmexs

Cards:

My Google Fusion tables assignment is based off of 10 different dog breeds. I researched their origin locations and average weights to construct my visuals. 

My Google Fusion Tables

Here is my spreadsheet.

My Cards.

The map of where the dog breeds originate.

This is my bar graph. It is showing the relationship between breed and average weight (lbs).

My pie graph shows the amount of dog breeds in an origin location.

My network visualization connects the breeds to their location. In order to do this, I had to create another “location” column as a text based column. As you can see, Germany and the United Kingdom are the most popular origins.