CS 4460 - Information Visualization P3

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Programming Assignment 3: Sliding GapMinder

Instructions

In this assignment you will create a version of the bubble chart from Hans Rosling's GapMinder storytelling video. The bubble chart shows 142 countries. The chart shows the life expectancy compared to the GDP per capita for each country. An interactive version of the tool can be found on the GapMinder website.

Your chart will be interactive. It must update to show the data for each 5-year interval. We have already added a slider that will control the current year for the chart. Your submission should update with the slider as seen below:

Lab Result

The slider will call the method updateChart(year) where year is one of the 5-year intervals from the dataset. It is your job to update your chart within this method.

You will use the dataset at ./data/gapminder.csv to re-create the GapMinder bubble chart. Here is a snippet of the dataset:

country year population continent lifeExp gdpPercap
Afghanistan 2002 25268405 Asia 42.129 726.7340548
Afghanistan 2007 31889923 Asia 43.828 974.5803384
United Kingdom 1977 56179000 Europe 72.76 17428.74846
United Kingdom 1982 56339704 Europe 74.04 18232.42452
Madagascar 2002 16473477 Africa 57.286 894.6370822
Madagascar 2007 19167654 Africa 59.443 894.6370822
  • country (string) - the name of the country
  • year (number) - the year for that recording, spans from 1952 to 2007 in 5-year intervals
  • population (number) - the total population for that year
  • lifeExp (number) - the mean life expectancy for that year
  • gdpPercap (number) - the income per person, or GDP per capita in USD adjusted for inflation for that year

Lab Result

You will use this dataset to create the above interactive bubble chart.

The data-bindings on the bubbles are:

  • x-positon - gdpPercap in a scaleLog
  • y-positon - lifeExp in a scaleLinear
  • radius - population in a scaleSqrt
  • fill color - continent (we have provided the color map as contintentColors)

First, you will need to group or nest the dataset by the year data attribute. This data re-configuration is slightly different - you want to access all 142 countries for each year so making a key-value array with d3.nest().entries() might not be the best method.

Unlike P2 you are not required to use the d3.nest() function.

You will create this interactive chart using D3's Enter, Update, Exit pattern. Look to Lab 6 where we covered how to add, update, and remove elements with D3.

Reminder that this is an individual assignment. The code you turn in should be your own creation. You are certainly welcome to seek assistance from the TAs as you work on the assignment, however.

Starter code

All of the starter code for the Programming Assignments can be found at the HW Github Repository. git clone this repository for this assignments starter code. You will need to git pull for all future starter code.

You are required to use the starter code for all programming assignments.

What to turn in

You will submit your code via T-Square. Compress your code (the 03_gapminder directory) into a zip file. Upload and submit this zip file via T-Square.

Deadline

Your zipped code should be submitted to T-Square by 12 Noon on Friday, November 3rd

Grading

This assignment will be graded out of a 100 point scale. If your D3 code does all of the following you will receive all 100 points:

  1. Creates a bubble chart with the above visual to data mappings for each circle representing a country.
  2. The chart updates with the appropriate yearly data on updateChart(year). You are required to use the Enter, Update, Exit D3 pattern. Points will be deducted if your code removes all circles and then re-appends new circles on every updateChart() call. Your code should use object constancy per country.
  3. You are required to add a title, labels and axes to the chart.

You will not lose points on any of the following:

  1. The styling of the chart, grids, axes or labels
  2. The number of ticks or grid lines
  3. Conventions or legibility of your code
  4. Handling any other datasets than ./data/gapminder.csv

Extra Credit

We will be giving up to 10 points of extra credit for styling your charts. Or any useful feature that enhances your visualization. Please make note of the additions/embellishments in the notes of your T-Square submission.

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