All posts by Matthew MacVey

Festival of Data – Matt

Bob Beamon’s Long Olympic Shadow. New York Times.

I selected an animated infographic about the history of Olympic long jump. The graphic in the video is essentially a bar chart with a timeline as the x-axis. The animation  swoops through the chart emphasizing a few different views and points of comparison for the results over the years. The video format allows for a quick drill down about some of the athletes.

Compare the data as portrayed in the video to the interactive graphic and photos below. The interactive is limited by having to show all of the jumps in a small space within the browser window. Because the 3D camera in the video zooms in an out, that graphic is able to show details like which country each athlete is from. However, the video is really edited to tell just a few narratives. Its not practical for a user to use the video to find out what year an Italian athlete won a medal.

On the interactive graphic itself, I appreciate the basketball court overlay as a reference, but some grid lines would have been useful to help in making accurate comparisons between the different athletes.

Sharif/MacVey: Starbucks


Page Layout:









+ a proposed title or headline: Starbucks and Sky-High Retail Rates

+ a story slug — up to three words that capture the essence of your story: Starbucks; Neighborhood; Rent

+ a list of the story’s key elements:
  •  Does the opening of a Starbucks mean that all of the local retailers in your neighborhood will close and apartment rents will skyrocket?
  • How does Starbucks choose it’s new locations in New York City?
  • What do the de Blasio administration and the New York Economic Development Corporation have planned to support small businesses in the outer boroughs?

+ a news hook, or explanation of why this story matters now:

        With Bill de Blasio taking office, there is increasing attention on changes to the outer borough neighborhoods and what types of demographics those changes are being catered to. Starbucks is planning to open 3,000 new stores in North America by 2017 (we will find information about what new locations are currently slated in New York City).
+ a description of and link to the data (which means you have to find your data!):
Cleaned up Starbucks data:
Retail Rent Data:
+ one source you have already spoken with or at least three potential expert sources and your plans for reaching them:
  • NYU Furman Center for Real Estate and Urban Policy.
    Shannon Moriarty
    Communications Director
    Phone: 212-998-6492
  • Real Estate Board of New York.
    Jamie McShane,
    SVP Communications
  • Paul Milstein Center for Real Estate Research at ColumbiaMedia InquiriesKeshia Mark
    Evan Nowell
  • Baruch Real Estate
    George Donohue
  • Todd Trewhella. Director of Development at Starbucks Coffee Company
  • Someone at RKF. A large New York retail real estate broker
  • Farron Roboff, Senior Vice President at Royal Properties. Has leased to Starbucks locations.
    press contact is Jeff Kintzer

Matt MacVey Data Sets

  1. Vacant publicly owned land.
    Vacant private land and tax assessment
    Bill de Blasio has stated that he wants to increase taxes on vacant lots  to encourage building on these sites. Where are these spaces and what effect are they having on their communities. These vacant spaces are often turned into community gardens. Vacant lots  provide a significant portion of the wild habitat that supports biodiversity in New York City. I could talk with people that use community gardens made from similar lots. What species that might lose habitat?
  2. Census Computer and Internet Access in the United States 2012
    Smartphone and internet access data. There is potential for stories about differing access between income levels or states. I think that it could be interesting to find some regions that are being held back by a lack of internet access. I could look at the difference between rural and urban New York state or look at the differences within New York City.
    This new census data is the first to show information about access to smartphones. Some people are looking to smartphones to help with inequality in access to the internet, the digital divide. I want to look at what this new data shows about smartphones and the digital divide and whether having smartphone access has the same economic impact as other types of broadband access.
    Another angle, 25% of households don’t have internet access. What do those households look like?
  3. Starbucks locations.
    I read a piece about a new Starbucks uptown and the economic changes this signifies for commercial renting in the area. (
    De Blasio’s mayorship has put a spotlight on inequality, gentrification, and the economic identity of the outer boroughs. So, what does it mean when a Starbucks arrives in a new part of town? Readers will find out what neighborhoods Starbucks are clustered in, median household income, median commercial rent, how those numbers have changed in the last five or 10 years, and if those neighborhoods seen big demographic shifts.
    I can pull out a few stories to focus on, maybe someplace where a Starbucks closed or a place where Starbucks challenged a local coffee shop.