This project serves a dual purpose.
It constitutes the author's submission
for Coursera's course 'Developing Data Products'
within the Data Scientist specialisation offered
by Faculty from John Hopkins Bloomberg School of Public Health.
It also provides for visual exploration
of open data provided by the Canadian Department of Foreign Affairs, Trade and Development
and the World Bank.
In 2010, Canada announced the Muskoka Initiative. That Initiative seeks to mobilize global action to reduce maternal mortality and improve the health of mothers and children in the world's 10 poorest countries.
Hundreds of thousands of women die each year due to complications consecutive to pregnancy or childbirth. In addition, 6.6 million children died before reaching the age of five in 2012.
Over the period covering 2010 to 2015, $1.1 billion will be added to $1.75 billion already budgeted by the Canadian government to improve the situation of mothers and children along three paths.
The Shiny package under R is used to manipulate
the data and provide a visual output allowing analysis.
The URL to access this Shiny application is https://ypat.shinyapps.io/MNCH.
Funds spent each year under the MNCH heading for each
of the 10 countries identified as priorities are totalled.
The ratios indicate the dollar contribution for each element,
eg. births means the yearly contribution in dollars divided
by the number of live births that year. Two ratios with ties to the three paths are proposed.
No analysis of the data was conducted since the stated purpose of the project is to use the tools, Shiny and Slidify.
The function tapply was used to obtain totals of MNCH funds spent per country.
tapply(df.2012.2013[[2]],INDEX=df.2012.2013[[1]],sum)
Other calculations involved:
DFATD Canada. (2014). Maternal, Newborn and Child Health. Retrieved December 13, 2014, from http://www.international.gc.ca/development-developpement/priorities-priorites/mnch-smne/index.aspx?lang=eng The World Bank. (2014). Indicators - Data. Retrieved December 13, 2014, from http://data.worldbank.org/indicator