On Friday 29th November I had the pleasure to attend the Data Visualization Berlin meetup in Berlin for the first time.

But why data visualization?

@first Big Data is some kind of hobby and creating predictive models with (unstructured) data is the future. It is very interested to be in the front line of this trend and talk to the guru’s and evangelists.

@second within ContentForces we created a solution where we visualize the online customer journey (so all the online touch points before and during reaching the clients website) based on a collected click- and mouse movements data.

And @third within ContentForces we developed custom solutions for visualizing (unstructured) data. For example a dashboard to analyze social media messages (sentiment analysis). So in this case visualization of text, a which is unstructured data.

The Big Question I want to get answered during this meeting:
Visualization of data looks nice and impress the ‘users’ but what is the function of visualization?

Marian Dörk gave the answer.

The value of visualization data is to make learning easier and more efficient and create curiosity.

Marian presented his project wordwanderer.org. It is an experimental tool where you can visualize relations between words in a text. It may help to the create the curiosity if you need to dig in loads of text like digital archives. Based on the analysis you can find read the more interesting articles.

WordWanderer
The Data Wanderer of this blog post

Another project Marian presented was the pivot paths. For the Pivot paths, it may be interested to see if you use this for sentiment analysis. But it is first seeing then improving besides it misses the dimension in time. Letty showed an article for the visualization of Facebook: “Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach“.

All together it is was a cousy meetup as the group was small. Data Visualization is an interesting aspect of the Big Data trend. For sure this will grow fast coming years, although “people & companies” still need to be aware of which problems they can solve or which questions they can answer. There is still a way to go.

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