Add tracker of features implement/not implemented to readme.

Needs link to Heroku deployed dashboard near top

Limit width of content so line charts look better.

Draw the app and decide on app functions

Marking:
-1 Interactive Dash app with R and ggplotly: Visualizations (Ploty controls need to be fixed)
-0.5 Interactive Dash app with R and ggplotly: Quality (Same types of plots)

Suggestions:
Great job at implementing the app on R. The deployed app on Heroku looks very neat. I like the consistency that you guys have between the python and r deployment. As mentioned for milestone 2 feedback, it would be wise to have other types of graphs to represent the countries for example, such as a country figure to pick which country’s data is displayed etc. Lastly the ploty controls are on top of the titles of your figures and should be fixed with spacing.

1. Motivation and purpose
   Factors that are associated with happiness, how they have changed over time by country
2. Description of the data

Hello group 10,

Great Job! We (Jacob, Santiago, Yuyan from group 9) all enjoy reviewing your World Happiness Report Explorer app. It is very organized and informative. If I were a policy analyst working for the government, I will find the app is super useful for helping me identify how happiness scores change over time for our country while comparing with the rest of the world. If I saw a country had a much better performance than our county, I can even explore which factors make such difference(e.g. GDP, family, life expectancy). In this way, I think it can point me to right direction for my further research and even future advocacy.

What we like:

• As I mentioned, we like the overall layout of your app. Everything is so clear and organized. The structure of the dashboard allow us to easily and quickly understand the app.
• We also like the way that the drop-downs and sliders interact with the plots. As I select more features, more plots will show up! So cool!
• The overall plot types are very efficient! We can always easily compare the happiness score over time for two countries. The line plots are very suitable and in line with the purpose of the app.
• The app takes just one screen, we like it as there is no scrolling needed.

What we suggest: (we might be wrong)

• We found that there are so many options in the countries, we like it. But we would suggest to add another filter, such as continent. For the purpose of this dashboard, if I really want to compare one county with some other countries together(as benchmark), then I cannot do that. All I can do is select them one by one and then drop them one by one. Also I select more than 5 countries, the app becomes overwhelming quickly.
• We also noticed that for the contribution plots, there is no y-axis scales for the plots on the right hand side. Initially, I assume they have the same scale as the plots on the left. But after careful comparison, I do not think this is how it works, at least from an audience perspective. Because the white grid lines are not aligned. Maybe it worth to add the scales of the y-axis for all plots to avoid confusion.
• I am using the mac laptop with full screen. I found out that if I select all the contribution plots, the titles and the axes of those plots will all overlap together. Maybe it's because there are so many plots on the same screen. Maybe try to combine two relatively unimportant factor together.
• Maybe add a card or some other plot types in the app. Currently they are all line charts.(But still very clear!)

Overall, we think your group did a amazing job in designing the dashboard! Hope our suggestions can help in your Milestone4. Have a great weekend!

Marking:
-0.5 Interactive Dash app in Python and Altair: Quality. The plots can be displayed differently.

Suggestions:
Great job! It looks very clean, and I like that you guys used Ploty. One minor flaw that Ploty might have is the ability for individuals to click away at the graph and completely miss the years that the data is recorded/displayed. Great use of space! The data displayed is very informative, and it’s clear to see that you guys put thought in what data to show. One of my biggest suggestions would be to remember that there can be other ways to display the data, and I believe is it a criterion to use more than 1 type of graph for the final product. In addition to this, to add to the complexity, I would suggest that instead of drop-down bar, it would be wise to in-cooperate something like a global map in which when a country is clicked, it’s data could be shown on the graphs. Great job on the first attempt! Have a great week!

Marking:
-1 Tie it all together and deliver a production ready app: Visualizations Spacing
Suggestions:

Amazing, Great Final Work! Give yourselves a pat on the back. Some minor alignment issues. The right white space seems larger than the left side. Great job at finishing DSCI 532!

Marking
-1 missing research questions Section 3: Research questions and usage scenarios: Writing
-1 missing research questions Section 3: Research questions and usage scenarios: Reasoning

Suggestions: Overall it looks great! As we previously discussed maybe it’s a good idea to just to implement one tab for milestone 2. Even for Milestone 3 and 4 your group might need to simplify a bit, but you put some recursive code for all the line graphs. I really like that all the filters and buttons are on the left side. I don’t know what the colors would look like, but make sure they are aesthetically pleasing. Another cool idea would be to add the geography of the world, and have the numbers fit inside each country. Please add research questions in the next iteration of the proposal.