Outcomes for pets at animal shelters 10/28

Last updated almost 6 years ago

5 questions

What happens to shelter dogs and cats has changed considerably over the past decade.

This graph originally appeared elsewhere on NYTimes.com. Dallas Animal Services operates a city shelter and has an “open admissions” policy, which means the agency is required to take in any animal, regardless of its health or behavior. Animals that are “adopted” are adopted directly from the shelter. “Transferred to rescue” means the animal has been transferred to an independent rescue agency.

Note: A stacked area time-series graph shows trends over time and compares the relative sizes of subgroups of a whole. The comparison may be of absolute numbers or percentages.
In the pet euthanasia graph, the time period is 2009 - 2018. Outcomes of shelter dogs and cats in the Dallas public shelter is divided into subgroups of those who were euthanized, adopted, returned to owner, transferred to rescue agency, released elsewhere, or lost or died. The subgroup statistics are the number of all shelter dogs and cats and sum to the total number of animals.

About how many pets were returned to their owners in 2017

Where are percentages represented in the graph?

Why was it appropriate for the author to chose a stacked area time-series graph instead of a line graph to represent the data?

What's going on in this graph? (i.e. what would be an accurate conclusion that can be supported by this graph)
To answer this question use the CER framework

Write a >140 character Tweet that could accompany the sharing of the of the graph.
This means, you would write a short sentence or two that describes one surprising thing you noticed from the map and you accompany it with one or two relevant hashtags.

Outcomes for pets at animal shelters 10/28

About how many pets were returned to their owners in 2017

Where are percentages represented in the graph?

Why was it appropriate for the author to chose a stacked area time-series graph instead of a line graph to represent the data?

What's going on in this graph? (i.e. what would be an accurate conclusion that can be supported by this graph)To answer this question use the CER framework

Write a >140 character Tweet that could accompany the sharing of the of the graph. This means, you would write a short sentence or two that describes one surprising thing you noticed from the map and you accompany it with one or two relevant hashtags.

What's going on in this graph? (i.e. what would be an accurate conclusion that can be supported by this graph)
To answer this question use the CER framework

Write a >140 character Tweet that could accompany the sharing of the of the graph.
This means, you would write a short sentence or two that describes one surprising thing you noticed from the map and you accompany it with one or two relevant hashtags.