All raw data was acquired from the World Values Survey (WVS).
The data was processed using Excel and R, data from four waves of the Survey for 8 dimensions, all of them related to individuals’ feelings towards their neighbours was cleaned.
WVS has its own tool for information visualisations, it allowed me to look at single variables of my interest and plot them as a bar graph.
The WVS tool is limiting in the sense that it doesn’t allow view transformations. Additionally, data from multiple variables of my interest could not be visualised simultaneously.
Raw data was acquired from the World Values Survey (WVS) combined with data from Gapminder.
The data was processed using Excel and R, data from four waves of the WVS for 8 dimensions and 30 countries, all of them related to individuals’ feelings towards their neighbours was cleaned. Then, data for the selected countries in their respective time periods was gathered from Gapminder. As Gapminder has values corresponding to the variables of interest for every year, an average for the 5 year waves represented in the WVS was calculated. From gapminder I took data on GDP, Poverty headcount, Internet Usage and Education.
I created a stacked bar chart in order to visually map how accepting and open minded people in certain countries are towards having neighbours of different race, religion, unmarried couples living together, drug addicts and heavy drinkers. In the default view countries are ordered by how “accpeting” they are in an ascending order on the x-axes.
The user has the ability to sort the bar charts based on data from Gapminder, such as GDP. This was allowing the user to see if there is a correlation between how accepting people are to other indices. The user can also select which wave’s data they would like to observe
First of all, I learned that the tendency of survey participants having issue with having one type of minority as a neighbour is that they will also have problems with others. Rather than just being picky about one particular group it often reflect their general openness. An exception from this however is having "heavy drinkers" as neighbours, which is considered negatively by the majority of people all around the world.
Second, there seems to be a trend of how accepting people are of their neighbors positively correlating with the GDP/capita and with internet access and negatively correlating with poverty headcount.