I believe that for a city like Austin, one possessing a robust local music scene as well as a density of popular venues that has proven incredibly attractive to touring acts, the question of how changing neighborhood geography, demographics and expectations
Where’d the money go?
What Story are you interested in telling? I’d like to know where the money form the music festivals held in Austin go. From everyone that we have heard speak it seems pretty clear that musicians make net to nothing, so
Air By Southwest
I really like the idea of exploring the data that Trei and Skip talked about last week in terms of Airbnb and how much money is being driven into Austin during festivals. Although Airbnb has ignored my requests for data,
Data Storytelling for Music
One aspect of the Delivering Data chapter that really stuck with me was to always ask yourself “Who is my audience and what are their needs?”. I feel like one of the most important things to remember when working with
Handbook and Dataset
I particularly enjoyed this last chapter of our Data Journalism Handbook because it gave first-hand insight into data journalism projects and finding data sets. It made me feel a lot better that the struggled with finding data sets as much
Telling Tales with Data
As we have discussed countless times, data visualization is so important when telling a story. Whether we display information in charts or graphs, being able to condense information to be analyzed and consumed by the public is now a necessary
Data for Data Sake
What I gleaned from the articles is how important data journalism is and how easy it can be misused. Data for data sake is a downfall of data journalism. In order for data visualization or data journalism to become human,
Noise Violations in Austin
The Delivering Data chapter of the Data Journalism Handbook made some interesting points that I hadn’t truly thought about in terms of making your data available and prioritizing data projects. As someone with a design focus I normally think more
This data set is Excel-ent
As other people have noted, the largest takeaway from the Delivering Data chapter is the need to deliver data quickly, clearly, and with a concise story. I think that what Scott Klein had to say about news apps was very
Mix Beverages Data to the Rescue?
At the beginning I skimmed through the Delivering Data chapter to find ideas about what kind of data can be manipulated for music in Austin. Next I looked through many of the different databases that our wonderful professor gave us.