"It's magic!" Or so they say. Creating beautiful and enchanting visualizations out of nowhere. The art of data visualization brings us the possibility of identifying patterns, understanding the story and grasping the latest trends. And that's not all!
During this meetup we will host two practitioners active in this domain. Both speakers will give a 30 minute presentation, with some time for questions afterwards. Between the talks there will be a brief break, and afterwards we will have room for further discussion and socializing.
And there is more! This time we will actually have a hybrid meetup! This one night, Viqtor Davis (data company in Utrecht) will be welcoming us in their office located in Utrecht (close to Leidsche Rijn train station). We will arrange some diner beforehand and then we'll get started with the first talk at 19:00! Doors are open 18:30.
Since we will only have limited space at the location, sign up quickly (using the Meetup link provided below). Want to enjoy the talks from home? We will also stream the talks.
- From 19:00 until ~21:00 (CET)
- Location: Viqtor Davis, Parijsboulevard 143a, 3541CS Utrecht
- Please RSVP on Meetup.
Please let us know if we can do anything to make the event (more) accessible to you. We will try our best to accommodate any needs you may have. You can reach us through email@example.com.
The collateral beauty of being a data analyst
Generating abstract visuals using machine learning
Personal projects are a great (and fun!) way to learn. They force you to apply your skills to a new context. For example: what happens when you try to blend a job as data analyst with a personal passion for music? In my talk, I’ll answer that question by taking you through the ongoing development of a personal project. A project that started with a data analysis question and generated some unintended, but beautiful, side-effects.
Keywords: natural language processing, sentiment analysis, data art
About Erik Driessen
A business view on data
Using data visualization in business environments
Data scientists dive deep into the data to gain understanding of the business, to develop features and optimize predictive models. However, in the end, managers/product owners are the ones who make decisions. To facilitate hte decision making, the insights created by the data scientist must be captured into interpretable tables, graphs, and figures. Therefore, visualizations are a key means to provide them with insights to understand the use case at hand.
In this presentation I will show a selection of graphs/visualizations from different projects which:
- gave a better grasp on the information hidden in the data during the exploratory data analysis phase,
- assisted in developing features for feature engineering and feature selection,
- helped communicate a message to the product owner or,
- assisted management to make informed decisions.
Keywords: data visualization