According to UNESCO, about 258 million children and youth are out of school for the school year ending in 2018. The total includes 59 million children of primary school age, 62 million of lower secondary school age and 138 million of upper secondary age. This is a major humanitarian challenge that all countries have united to address by anchoring it within SDG number 4: Quality Education.
Every Child deserves the opportunity to learn. In this Dashboard, we tried to show visualizations that highlight the reality behind Children Out Of School.
Poverty is a barrier that keeps children out of schools.
The gap between males and females attending schools was equal to 14% in 1970 and decreased to reach 2% in 2018. For girls in some part of this world, education chances are still restricted.
Data Source: World Bank Data
As part of the MSBA 325 Final Project done on Covid-19 and its impact on the World, we have created a time-lapse interactive Covid-19 tracker dashboard containing the following sections:
- A map to show the total confirmed active cases and new cases based on the user’s selection. Every country contains a circular mark, which size is determined by the metric (# of cases) and color is a degradation of orange (9 steps).
- A side by side line+area chart for Cases and Death. With a dynamic label to show the total number increasing with time. This was done by combining a line chart with an area chart, using only one Axis (hiding the right one) to create the below effect.
- A side by side bar chart for Cases and Death. This part shows the top 10 countries with confirmed cases (total and new) and deaths (total and new). A Grand Total has also been added to these charts. A manual sort has been performed on this chart since the total number is by date (as of the max date May 2 2020).
- As for the dashboard parameters, we have added a drop-down to select between Total Cases or New Cases. In addition to the Date control that is used to add the animation to the dashboard and will show the progress of all the dashboard sections by date starting from January 22 till May 2 by default. The user can start from a different start point to monitor the progress.
Click on the below animated image to see the dashboard in action!
Data source: Global Coronavirus (COVID-19) Data (Johns Hopkins)
It will be interesting to explore what all insights can be obtained from a Netflix dataset.
Since 2000 Guyana is witnessing an increase in number of suicides. This increase should grab communities attention to work hard on reducing this rate. We have to instill hope again in every home in Guyana.
Since I started working in the healthcare sector I’ve always been interested in knowing more about this industry. As such, while exploring the WDI Data I studied several healthcare indicators and it turns out – Lebanon is doing better than we thought! I was intrigued to know what’s beyond those indicators, and luckily I found a detailed dataset about Primary Health Care Centers in Lebanon on The Humanitarian Data Exchange, I was surprised to know we had this many centers.
Could this visualization be a sign of a sound healthcare system ?
Did this awareness in healthcare aid us in containing the Covid-19?
Do you think there is a better future for the healthcare system for Lebanon, or will it be worst?
Personally, I am optimistic..
So here are some things I didn’t know:
- There are 174 Operational Primary Healthcare Centers in Lebanon
- There are 25 PHC funded by UNHCR
- There are 100 PHC that provide subsidized services.
- Nabatieh has 0 operational PHCs.
- The North governorate has the highest number of operational PHC: 36
In this dashboard, I prepared – using Tableau – a map that shows the different Operational PHC locations in Lebanon filtered by UNHCR Funding. Alongside it, is a bar chart showing the percentage of operational PHC in each Governorate. Finally, at the bottom, you can find a stacked bar chart representing the number of operational PHC per governorate, highlighting those who offer subsidized services.