Project 1

Still Crazy After All These Years

Project due 9/21 at 8:59 pm Chicago time



Project 1 will be an individual project to give people practice with writing a web-based application in javascript, html, and D3 and get everyone ready to contribute to the group projects to come. In this project everyone will learn how to import data, how to write an interactive application, and how to create an effective user interface for visualizing and analyzing this data on the classroom wall. This will give everyone a common basis for communication in the later group projects where people will start to specialize in different tasks.

Events shape attitudes and opinions. This project will focus on using basic graphs to show information on the ages of people around the US and around the world, and relate that age information to various events. Your application should help someone to investigate differences in the populations in different regions, and to get some answers to the question 'how many people were alive (or remember) when  X happened' where X could be the Dust Bowl in the US, or when The Police broke up, or when England won the World Cup, etc.

The data files to start with are:

data for the US as a whole and information on all of the individual states
in 2010-2014:
http://factfinder.census.gov
and in particular (unless they change the link again)
http://www.census.gov/popest/data/state/asrh/2014/SC-EST2014-AGESEX-CIV.html

full data on populations by year for every country:
https://www.census.gov/population/international/data/idb/region.php



Note that the data in the data files can be rather detailed. You will probably want to come up with an intelligent way to cluster the data into fewer categories for some of your visualizations. Dealing with data files is a major part of visualization, and most are not as well formatted as these. If there are too many slices in a pie chart, too many bars in a bar chart, or so much text that it is unreadable, then you need to do something smart to make it usable, and document those decisions in your writeup. Saying 'that is what the computer did' is never an acceptable answer from a computer scientist.



You will be writing your code to run in a web browser and it should run on all current browsers (Chrome, Safari, Firefox, Explorer, Edge, etc) but the main evaluation and demonstration will be done on our classroom wall which runs the latest stable version of Chrome and Firefox under Windows 10. A big advantage of using scalable graphics is that your visualizations and interface should naturally scale up to the larger display. The screen size will be roughly 8196 x 2188 (which is almost the same aspect ratio as two HD monitors side by side) but assume some space will be lost for borders, tool bars etc. The application should have obvious and intuitive controls. We will use the touch overlay on the wall so your features should be accessible assuming the user only has a single button mouse, and you should make sure any controls you have are reachable and an appropriate size for a person to touch.

While scalable graphics scale pretty well, user interaction is a bit different on a large wall so you should plan on spending some time testing on the actual wall during office hours to make sure your application works as expected.

One of the major goals here is to experiment with different ways to visualize the same data so no other libraries can be used without prior permission (e.g. no xCharts, D3plus, rickshaw, etc). You are in control of the visualization and interaction and you should not feel limited by what some other libraries provide. You can use a database to store the data if you wish or flat files or the cloud. You can use external tools to process the data as long as you have a pipeline you can document in your writeup.

All of your graphs should be well labelled and have common axis and colors to make comparison easier.

The user should be able to bring up information on who wrote the project, what libraries are being used to visualize it, where the data came from, etc.




For a C you need:


For a B you need to add:


For an A you need to add:




You should start by getting D3 installed, running through the demos, and doing some initial tests to load in the data and start displaying it.

Once you have a basic shell working you should then start to draw some sketches of what the interface might look like and how you want to arrange and display the data. You can use other software to generate statistics about the data if you find that useful, but be sure to document that process. Be careful of missing data when you generate statistics. Look at the actual data and make sure your statistics make sense.

Your application should start out showing some data (e.g. data for the entire US in this case) - a blank screen is not very inviting and doesn't tell a user what your visualization can do. However, in past terms the students have shown a desire to show an overwhelming amount of the data to the user right away. You should be careful not to overwhelm the user either. As Schneiderman said "overview first, zoom and filter, details on demand." Appropriate levels of aggregating data will be very important here.

It is also important to note that 'getting it to work' is just a prerequisite to using the application to find answers to your questions. It is that usage that will give you ideas on how to improve your app to make it easier and more intuitive to find those things. Writing the application at the last minute pretty much guarantees that you will not come up with an intuitive interface.

Many of the routines you write for this project will be used again and expanded upon in the upcoming projects - e.g. all of the projects will need graphs, so it is a good idea to write your code in a way that it is reusable so you can modify it rather than totally rewriting it later.


You should create a set of public web pages that describe your work on the project. This should include:
all of which should have plenty of screenshots with meaningful captions. Web pages like this can be very helpful later on in helping you build up a portfolio of your work when you start looking for a job so please put some effort into it.

Be sure to document any external libraries or tools that you make use of - give credit where credit is due.

You should also create a 2-3 minute YouTube video showing the use of your application including narration with decent audio quality. That video should be in a very obvious place on your main project web page. The easiest way to do this is to use a screen-capture tool while interacting with your application, or using a camera while interacting with the classroom wall, though you will most likely find its useful to do some editing afterwards to tighten the video up. Its also a good idea to have a video like this available as a backup during your presentation just in case of gremlins.


The web page including screen snapshots and video need to be done by the deadline so be sure to leave enough time to get that work done.

I will be linking your web page to the course notes so please send me a nice 1920 x 512 jpg image of your visualization for the web along with the link to your website before the deadline. The image should be named p1.<your_last_name>.<your_first_name>.jpg. 

Each student will show his / her visualization to the class on the wall and describe its features. This allows everyone to see a variety of solutions to the problem, and a variety of implementations. It is also a good way to find collaborators for projects 2 and 3. Rehearse your presentation ... several times.



last revision 8/31/15