Martina Pugliese
* Data Science Lead at Mallzee (https://mallzee.com)
Doing a data visual that is beautiful, informative and rigorous is ...hard
Everybody likes looking at data visually, and producing a visualisation that is both informative and engaging is typically a far from easy task. The world is full of data visuals that are ambiguous, unclear, or, in the worst scenarios, misleading, whether accidentally or on purpose. In many situations, presenting data in one way or another can produce quite different stories.
I'll go through a few things I'm learning myself about this fascinating area and share some thoughts on what I believe are good principles and workflows to keep in mind when working on visualising quantitative information. There are considerations about the rigour of the information presented, as well as design principles and scientific effects. This is why this is such a fascinating field.
As usual, there will be space if you want to share anything. We're also always on the lookout for speakers, so let us know who you have in mind.
See you soon.
Cheers,
Brendan (Hill), Ben (Bach), Uta (Hinrichs)
*Venue: we’re in the Inspace Gallery at the University of Edinburgh's Bayes Centre for Data Science. Enter through the door at the *south east* corner of the building (glass door aside the white poles in the bottom right of the photo above), right opposite Edinburgh Central Mosque.
Doing a data visual that is beautiful, informative and rigorous is ...hard
Martina Pugliese
* Data Science Lead at Mallzee (https://mallzee.com)
Everybody likes looking at data visually, and producing a visualisation that is both informative and engaging is typically a far from easy task. The world is full of data visuals that are ambiguous, unclear, or, in the worst scenarios, misleading, whether accidentally or on purpose. In many situations, presenting data in one way or another can produce quite different stories.
I'll go through a few things I'm learning myself about this fascinating area and share some thoughts on what I believe are good principles and workflows to keep in mind when working on visualising quantitative information. There are considerations about the rigour of the information presented, as well as design principles and scientific effects. This is why this is such a fascinating field.
Data physicalization
Talks to include work by
- Uta Hinrichs,
- Fearn Bishop,
- Evan Morgan and
- Bettina Nissen
Data physicalization as a way to encode data in physical shapes, artifacts and experiences. We will introduce the opportunities and benefits of data physicalization for engaging audiences and making data accessible to non specialist and non technical audiences.
This session will consist of a couple of lightning talks to introduce
the topic and then a hands-on activity where we will make different
physicalizations. Through this dynamic activity you will find out more
about how to translate data into material forms and how materials may
engage people with data in a different sensorial and experiential ways.
As usual, there will be space if you want to share anything. We're also always on the lookout for speakers, so let us know who you have in mind.
See you soon.
Cheers,
Brendan (Hill), Ben (Bach), Uta (Hinrichs)
*Venue: we’re in the Inspace Gallery at the University of Edinburgh's Bayes Centre for Data Science. Enter through the door at the *south east* corner of the building (glass door aside the white poles in the bottom right of the photo above), right opposite Edinburgh Central Mosque.
Talks to include work by:
- Uta Hinrichs,
- Fearn Bishop,
- Evan Morgan and
- Bettina Nissen
Data physicalization as a way to encode data in physical shapes, artifacts and experiences. We will introduce the opportunities and benefits of data physicalization for engaging audiences and making data accessible to non specialist and non technical audiences.
This session will consist of a couple of lightning talks to introduce
the topic and then a hands-on activity where we will make different
physicalizations.
Through this dynamic activity you will find out more
about how to translate data into material forms and how materials may
engage people with data in a different sensorial and experiential ways.
P.S. Martina Pugliese of Mallzee will now be giving her talk at a later date.
As usual, there will be space if you want to share anything. We're also always on the lookout for speakers, so let us know who you have in mind.
See you soon.
Cheers,
Brendan (Hill), Ben (Bach), Uta (Hinrichs)
*Venue: we’re in the Inspace Gallery at the University of Edinburgh's Bayes Centre for Data Science. Enter through the door at the *south east* corner of the building (glass door aside the white poles in the bottom right of the photo above), right opposite Edinburgh Central Mosque.
Talks to include work by:
- Uta Hinrichs,
- Fearn Bishop,
- Evan Morgan and
- Bettina Nissen
Data physicalization as a way to encode data in physical shapes, artifacts and experiences. We will introduce the opportunities and benefits of data physicalization for engaging audiences and making data accessible to non specialist and non technical audiences.
This session will consist of a couple of lightning talks to introduce
the topic and then a hands-on activity where we will make different
physicalizations.
Through this dynamic activity you will find out more about how to translate data into material forms and how materials may engage people with data in a different sensorial and experiential ways.
P.S. Martina Pugliese of Mallzee will now be giving her talk at a later date.
As usual, there will be space if you have anything to share. We're also open to suggestions for topics and speakers, so let us know if you have someone or something in mind.
See you soon.
Cheers,
Brendan (Hill), Ben (Bach), Uta (Hinrichs)
*Venue: the Inspace Gallery at the University of Edinburgh's Bayes Centre for Data Science. Enter through the door at the *south east* corner of the building (glass door aside the white poles in the bottom right of the photo above), right opposite Edinburgh Central Mosque.
