Tag Archives: data visualization

Libraries and museums are essential contributors to Americans’ lives

Posted on March 23, 2017 by

In the President’s proposed FY 2018 budget (p. 5), the Institute of Museum and Library Services (IMLS) is one of eighteen independent agencies that would be completely eliminated. In a statement from the Director of the Institute of Museum and Library Services, Dr. Katheryn K. Matthew describes the value and impact that funding from the IMLS has on communities:

The institutions we serve provide vital resources that contribute significantly to Americans’ economic development, education, health, and well-being… our grants and programs support libraries and museums as essential contributors to improving Americans’ quality of life.

A long list of professional organizations have spoken out against the proposed cuts to the NEA, NEH, and IMLS; and many of these organizations and individuals are urging people to contact their representatives in order to demonstrate the impact that the programs funded by these agencies have made on our lives, society, and cultural existence.1  (more…)

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Where are the Women (Inductees) at the Rock and Roll Hall of Fame?

Posted on December 23, 2015 by

Several days ago music critic Evelyn McDonnell wrote a post, #RockandRollHallofShame, on her Populism blog in which she discussed the ongoing exclusion of women from the Rock and Roll Hall of Fame. She wrote: “No women. Not one. There is not a single female in any of the five acts to be inducted into the Rock and Roll Hall of Fame next year.” In addition to this disparity between genders, there is a further omission of women of color and other minority groups, which McDonnell hopes someone will investigate further.

Without having the time to do extensive research or data mining, I decided to extract a simple list of artists inducted into the RRHF between 1986-2016 and then modify it by adding a value for gender. Wikipedia maintains a list of inductees, so I extracted the data, cleaned and modified it. I then used Tableau Public to create a tree map where you can easily see the disparity between male and female artists inducted into the hall. To break it down easily, I color-coded by gender:

  • Male artists/band members are orange
  • Female artists/band members are blue
  • Bands with both male and female artists are green

Within this visualization you can also search or facet the results by name of artist/band, inducted members (if not a solo artist), gender, as well as by year. Hover over the name of the artist/band  name to view additional information about them, such as the year they were inducted, a link to the wikipedia page, and band member names (if applicable). Visit my Tableau Public page to view the full tree map.

All of my data is available on my GitHub page and can be modified by others. The data I extracted and modified is focused on gender, but it would be interesting to add other dimensions, including race and artists/bands nominated, but not inducted. I encourage others to use the data and modify or extend it to show other disparities that were not captured in this quick data exercise.

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