Data Wranling: Alexandros , Mengyang, Vancesca

Data Description: Vancesca, Alexandros, Quandi

Designs: Mengyang, Quandi, Alexandros


Research Question 1: Mengyang, Quandi

Research Question 2: Quandi, Mengyang

Research Question 3: Mengyang

Research Question 4: Alexandros

Integrated report: Mengyang, Vancesca, Quandi

Video Editing: Quandi

Video Recording: Mengyang, Alexandros

Blog: Mengyang (made 4), Quandi (made 4), Vancesca (made 1)

Final Visualization Notebook (in Observable): Quandi, Mengyang, Alexandros

Research Question 4: Does work bring happiness?

We always thought that work makes a person happy and complete. But is it really the case? If we were taught something from Covid-19 is that people seemed to really enjoy teleworking. Is it because it was more convenient? Is it because they did not have to go to the office? That raised the question. Does working really bring joy to people?

As we can see from the graph below, there s seems to be a correlation with happiness and working hours. It seems that is an important factor but not the catalyst. It is apparent that countries with more…

Research Question 3: Can money buy happiness?

3.1 Analyzing the Relationship Between Happiness & the GDP per capita among time. (Scatterplot & Heatmap — Vega Lite)

The first graph can interact by using the slider to filter different years (click). The second graph showing the overall scatter plot from 2015 to 2020.

In both pictures, you can hover your mouse over any point to view detailed information about that point.

Research Question 1.2: Exploration of Happiness Trend (Time & Region)

This chart shows the rank of Happiness Score for six different regions in the world from 2015 to 2020. Colour indicates regions and the height of the histogram indicates happiness score.

Use your mouse can rotate, pan and zoom the chart.

Obviously, we can see the happiness score of Western Europe, North America, and Western Europe are much higher than average, and South Asia and Sub-Saharan Africa are at the bottom of the world where people feel low well-being. …

During these two weeks, we mainly explore research questions 1 and 2.

For this part, we would focus on two-part: the top 20 countries in 2015 to 2020, and the Happiness trend in different regions (using the Tableau Graph in Implementation 1).

For analysis of the top 20 countries from 2015 to 2020, we used the bar chart race to visualize the trend. The following link is our visualization of the trend for the top 20 countries during these 6 years. And different regions will be assigned a different colour.

The top 20 happiness indexes all show an increasing trend…

Current Process on Data Visualization

Below are our processes on data visualizations for the World Happiness Score Dataset from 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.

According to our dataset, it split the world into 11 regions: Central and Eastern Europe, Commonwealth of Independent…

1. What a terrific idea to use animation to reshape the country’s boundaries! I’m curious to find out what you mean by displaying relationships among countries – in what sense?

2. As for the visualization regarding the flow of skilled workers, it’s difficult for me to visualize what the end product will look like. Will the pie charts also be animated? I wonder how you’ll be able to showcase the effects of Trump’s policies on migration. How will you be able to ‘prove’ that it is due to Trump’s policies?

3. The combined sankeyplots are so interesting! Perhaps there’s a…

Comment on Group 1 — Mengyang

Firstly, for the interactive political rating line plot in the diverge part, this can clearly allow readers to see the specific political ratings of each region at each time point. But my concern is that the country on top will hide the country at the bottom when there have many countries with the same rating at the same time period in this diagram. Now in the given sample diagram, already shows this problem for Ethiopia and Zimbabwe from 2010 to 2016.

Secondly, I found the visual drawing of the stability of various regions is really interesting! But I couldn’t imagine…

Right after the data exploration, we start with our first visual-design sketches.

We collaborated through the Miro board using the approaches of diverging, emerging, and converging. We came up with some interesting ideas:

We start to explore the major data using Tableau to help us answer our research questions.

Observing this dynamic visualization, we can see how the happiness score changes in the six years from 2015 to 2020. The colours range from red, yellow, to blue for the below graph. Dark red indicates the happiest countries and dark blue indicates the opposite. For further exploration, we are interested in has there been any change in the top ten countries in the happiness index between 2015 and 2020? Top 20?

The colours range from red, yellow, to green. Dark red indicates the least…

Data show

Four students working on data visualisation of Happiness Score

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