Work Hours
Everyday: 北京时间8:00 - 23:59
Part 1
Identify a dataset to explore.
This will be iterative! You probably won’t get one you like on the first try.
Check out sources like data.world, data.illinois.gov, data.gov,developer.marvel.com,
IDB, etc.
or the dataset doc that lives right here
Explore the dataset in a Jupyter notebook. Make sure you include things that did and
did not work. (30 pts)
Summarize the characteristics of the dataset in words: what does it represent, what are
the fields/columns/rows, what data types are they, etc (30 pts)
Your datasets need to be submitted as well. To do this, include this information in your
Jupyter notebook (40 pts):
What is the “name” of the dataset?
Where did you obtain it?
Where can we obtain it? (i.e., URL)
What is the license of the dataset? What are we allowed to do with it?
How big is it in file size and in items?
Make a simple plot showing a relationship of interest. You can use matplotlib or pandas
(or other). Don’t worry about colors, labels or anything else of that nature!
Part 2
Using your dataset from Part 1:
Submit code and a writeup (either separate or within the notebook):
Code (70 pts):
Jupyter notebook with an interactive dashboard that helps an expert explore your
dataset thoroughly.
There should be a “dashboard” type aspect to this – i.e. a linked view exploring your
dataset in an interactive way
Do not delete any cells, just comment them out. Show your work.
Also submit:
Prose (30 pts):
One paragraph explaining how to use the dashboard you created, to help someone who
is not an expert understand your dataset.
A list of 1 or more contextual datasets you have identified, links to where they reside,
and a sentence about why they might be useful in telling the final story.
Part 3
Due by class, submitted in a repository and a link that can be rendered in HTML.
You can approach this as:
Raw HTML
Iodide
Idyll
Github pages
Embedded Jupyter notebooks
Others?
You will be writing an interactive data visualization article aimed at the public. Your
article should feature:
A compelling title don’t forget to specify that you are the author!
At least one central interactive visualization featuring your primary dataset. This can
be similar to what you submitted in the last phase, but does not need to be a dashboard.
Remember, this is for the public so it should be large and friendly.
At least two contextual visualizations – these can be other data visualizations you’ve
done, or images from other places (remember to site your sources!!).
At least 3 paragraphs of connective information to help a novice understand what is
happening in your datasets.
Citations of all the data sources used and information for the reader to be able to find
those datasets themselves.
You should submit:
Code (in the form of a URL):
The GitHub (or other) URL where the code is stored or a link specifying what to enter
in nbviewer/mybinder.
You can receive extra credit for including more than the required minimum. This can
include making more than one visualization interactive, incorporating more than 1
visualization you’ve done yourself, or incorporating more than your main dataset into
the three visualizations.
Look to data visualization articles on fivethirtyeight.com, the New York Times website,
or elsewhere for inspiration.
You will get feedback over the next week and have an opportunity to re-submit this
next week for your final project.
NOTE: there will be a “presentation portion” of this part of the assignment that will be
posting your final submission in the forum & getting/giving feedback.
Your grade will consist of:
What you turn in here: Your central viz (20 points), your 2 contextual visualizations (30
pts), your write up (20 pts).
Your submission will not be accepted without proper citation and links to data (unless
the data cannot be shared in which case you will need to send me an email outlining the
reasons for this).
