Implementation of Visual Designs 1
Below are our processes on data visualizations for the World Happiness Score Dataset from 2015 to 2020.
Research Question 1: Did happiness scores change between 2015 to 2020?
For this problem, we plan to use the world map in Tableau combined with bar graphs. For interaction, we added the option to change the year of the dataset displayed on the map, and you can also select multiple countries/regions. It is shown in the image below, you can also try to use this map via the link below.
Update new Tableau on May 10.
Research Question 2: Which region has the highest happiness index? Is there any similarity between the countries in each region?
According to our dataset, it split the world into 11 regions: Central and Eastern Europe, Commonwealth of Independent States, East Asia, Latin America and Caribbean, Middle East and North Africa, North America, Oceania, South Asia, Southeast Asia, Sub-Saharan Africa, Western Europe. For this question, we also planned to draw the Bar Chart of the average happiness score in each region which can select the year with Vega-Lite. For seeing the similarity we will also use the interactive visual plot above in research question one from Tableau. In order we can zoom in with each region, we will add one more selection in the previous plot.
Research Question 3: What makes people in a region happy? Which two features have the highest influence on the happiness score in each region?
For this question, we were planned to draw a set of the pie chart for each region and place it to the corresponding area on the world map. Now for it to be more interactive, we will apply the D3.js or other language to draw the Radar chart which can select the year and the factor. The following picture is the target chart we want to have.
Research Question 4: Will lower working hours can make people feel happier?
First, we try to visualize data in R: the relationship between average working hours and happiness levels in different regions. The graph has some problems, such as non-interactive. We will try some other data visualization tools for this question.
