Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

update app description #46

Merged
merged 1 commit into from
Dec 6, 2019
Merged

update app description #46

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 3 additions & 1 deletion README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -32,7 +32,9 @@ Team members (lab 1, group 101):

## App Description and Sketch

The app contains one page that includes four main plots and four summary statistics. The left column of plots visualize `life expectancy`, `change in life expectancy`, `GDP` (gross domestic product), and `percentage of GDP spent on health` over time. The right column of plots includes a geographic heat map that can compare `life expectancy`, `GDP`, or `percentage of GDP spent on health` and a histogram of the distribution of life expectancy.
The app contains one page that includes four summary statistics and four main plots. The summary statistics are about the average life expectancy, average GDP around the world, standard deviation of GDP of all countries and the count of the countries in total in our dataset. The left column are line plots that visualize `life expectancy`, `GDP` (gross domestic product) over time by country or `life expectancy` and `GDP` change in percentage year over year. The right column of plots includes a geographic heat map that can compare `life expectancy`, `GDP`, or `GDP log` and a scatter plot of `life expectancy` by `GDP` or `GDP log` for selected year range for all countries.

We include `GDP log` variable for the heat map and scatter plot, because of the right skewness of the GDP distribution of all countries. With `GDP log`, some patterns may become more obvious.

One of the most interesting features of this dashboard is the ability to change the variable each plot explores. By allowing the user to choose the variable of the y-axis and colour for time series plots, and the colour variable for the heat map, users are able to answer many potential questions with a limited number of plots and screen real estate.

Expand Down