Udacity Data Visualisation Nanodegree Capstone Project

Source: Unsplash | Blake Wisz
Available at: https://finance.yahoo.com/news/chart-reveals-huge-difference-millennials-201133732.html

What could be improved with the original visualisation?

  • Cluttered with too many intense colours, making it difficult to draw the reader’s attention.
  • The visualisation does not convey the message.
  • Unnecessary text and gridlines. The Y-axis information is not needed since the bar charts are already labelled.
  • Not built for people with colourblindness. The colour combination (red + green) can be difficult for some people to read.
  • Stacked bars do not show a clear trend and similar values are hard to see.
  • Missing explanation about generations.
  • There is no indication as to which year the data represents.

Biases and limitations

  • Limited dataset. There is no actual data on spending. The dataset brings only information on % spending, with no $ values, which does not allow do average calculations.
  • Missing variables: not all generations have been reported.
  • Lack of information on what comprises each category.
  • Lack of information on how the data has been collected.
  • The grand-total for the baby boomers generation is not 100%.

The goal of the dashboard

  • Which generation spends the most on each individual category?
  • What does each generation spend the most on?

Improving the original chart

  • Changing the stacked bar visualisation to bar/column charts, making it easier to read and identify trends.
  • Changing the colour palette to blue only, which is a colour blind friend.
  • Removing the gridlines and removing the % spending from the Y-axis.
  • Using a question as a title and adding new filters to promote interaction.
  • Adding a description of the generations and year of which the data represents.
  • Adding icons to differentiate categories and generations.

Please find below my improved data visualisation followed by its link.

--

--

--

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

The pinnacle of data analysis in ticket sales

Using clustering to improve classification — a use case

Tracking Donald Trump’s Activity on Twitter by his private schedule

How Data Science Can Be Meaningful In Environmental Studies.

Twitter Follow Graph

Data: The Commodity of the Modern World

Data Mining: Predicting of Student Performance Using Classification Technique

Hard Problems in Data Science

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Ana Klafke

Ana Klafke

More from Medium

Data Warehouse Project

Learn Big Data with Hadoop to Ace the Technology World!

Usability Testing to Improve Your Product

How to Predict Customer churn