Data Visualization 2.0

Thursday 9 november 2017

Recap

The purpose of your visualization

1. Your data visualization allows the audience to access the dataset and find a meaning within the data.
2. It helps people to understand what you are trying to tell them.
3. Attracts people towards a story. 
4. The purpose is most important when you are selecting a form for your visualization.

Recap

Recap

Think about your
audience

1. Don't make your data visualization too complex.

2. Don't make your data visualization too interactive.

3. Don't use a data visualization just to attract your audience. There has to be a purpose and a meaning.

Recap

Think about (ethical) issues

1. Make sure you are not manipulating your data.

2. Be aware of data sets that are incomplete or not accurate.

3. Data visualizations might dehumanize your subject.

Recap

Recap

Today

1. Pick a (part of a) dataset that you would like to visualize.

2. Decide what the purpose (/message) of your data visualization is going to be.

3. Create a data visualization. Use a data visualization tool.

What are data visualization tools and why should you use them?

We want to create data visualizations, but we don't want to...

• Spent to much time doing that.
• Work with dozens of people in one team (this also costs a lot of time and money).

Positive

• Tools are webbased

• They are easy to use

• They are free (?) to use

• They are embeddable

Negative

• Tools are webbased

• They are free (?) to use

• They are not always stable

• You have to work within their frame and use the functionalities the tool has to offer

I've selected 3 tools for you to choose from...

Reflecting on what we just did