10 Data Visualizations

  1. The rise of partisanship in the u.s. house of representatives – mauro martino, clio andris – http://iibawards-prod.s3.amazonaws.com/projects/images/000/000/866/large.jpg?1467150910asdf
  2. A World of Languages by Alberto Lucas Lópezasdfdaf
  3. Rappers, Sorted by Size of Vocabulary by Matthew Daniels

    http://iibawards-prod.s3.amazonaws.com/projects/images/000/000/539/large.jpg?1467151864rq

  4. Field of Commemoration by Valentina D’Efilipposd
  5. Meteorites 1900 – 2000 by Kim Albrechtasd
  6. Nobel Prize Nominees by Rossiya Segodnyamn
  7. IMDB 1000 by The New School, Parsons – Hang Do Thi Duc and Umi Syamas
  8. A World of Tea by Valerio PellegriniT La Lettura
  9. What if it was your city? by Alberto Lucas Lópezwerf
  10. Women in Development by Valerio Pellegrini – La LetturaLa Lettura Donne finale

10 Infographics

  1. Feltron Annual Report 2013 – Nicholas Felton
  2. Felton Annual Report 2007 – Nicholas Felton
  3. 54 Years of Space Exploration – 5w Infographicsexploration
  4. Geological Time Spiral – Ethan Helm103e48984bfa3f7235131172bda0f866
  5. The Daily Routines of Famous Creative People -Christopher Jobsonasdf
  6. Daily Routines – RJ Andrewsdaily
  7. Garbage sorting recycling figure – Pei Lei Ye完全更改3
  8. America in Africa – Francesco Francidsf
  9. Infographic Bicicelitte – Francesco Francivja
  10. Plot Lines -Julian Barnes6a00d8341e992c53ef017c3286ec04970b

Public Health/Social Issues

Social Issue: an undesirable condition that people believe should be corrected, it affects many people and.

Public Health: the health of the population as a whole, especially as monitored, regulated, and promoted by the state

 

Potential Issues:

  1. Mass Incarceration
    1. https://www.prisonpolicy.org/reports/pie2016.html
    2. http://www.naacp.org/criminal-justice-fact-sheet/
    3. http://journals.sagepub.com/doi/pdf/10.1177/0002716208324850
    4. http://onlinelibrary.wiley.com/doi/10.1111/socf.12179/full
    5. http://sentencingproject.org/wp-content/uploads/2016/01/Trends-in-US-Corrections.pdf
  2. Housing Discrimination
    1. http://www.diversityinc.com/diversity-and-inclusion/though-more-hidden-housing-discrimination-is-still-absurdly-high/
    2. http://www.huduser.gov/portal/Publications/pdf/HUD-514_HDS2012_execsumm.pdf
    3. http://www.nationalfairhousing.org/Portals/33/2015-04-30%20NFHA%20Trends%20Report%202015.pdf
    4. https://portal.hud.gov/hudportal/documents/huddoc?id=2012-13annreport.pdf
  3. Diversity Representation in Hollywood
    1. http://www.womensmediacenter.com/pages/the-problem
    2. http://www.indiewire.com/2015/02/sorry-ladies-study-on-women-in-film-and-television-confirms-the-worst-65220/
    3. https://thedissolve.com/news/847-new-study-finds-minority-representation-lacking-in/
    4. http://time.com/7278/agencies-hollywood-racial-diversity/
  4. Climate Change
    1. http://www.climatecentre.org/downloads/files/conferences/COP-16/Fact%20and%20Figures.pdf
    2. https://www.statista.com/topics/1148/global-climate-change/
    3. http://climate.nasa.gov/evidence/
  5. Texting and driving
    1. http://www.textinganddrivingsafety.com/texting-and-driving-stats
    2. https://www.edgarsnyder.com/car-accident/cause-of-accident/cell-phone/cell-phone-statistics.html
    3. https://www.distraction.gov/stats-research-laws/facts-and-statistics.html
    4. http://www.icebike.org/texting-and-driving/
    5. http://www.huffingtonpost.com/2015/06/08/dangers-of-texting-and-driving-statistics_n_7537710.html

 

Textual Research

Qualitative Data : Data that cannot be put into numerical form. Diaries, testimonials, and open ended questions would fall into this category. It is hard to analyze. It is used to gather descriptive data.

Quantitative Data: Data that can be put into numerical form and can be used to construct charts and graphs. Things that can be easily categorized and measured.

Infographic: Generally created for the purpose of telling or explaining a specific story, intended for a specific audience, they are subjective and usually are specialized.

Data Visualization: Tend to be created for the purposes of making sense of the data, or to change a data set into a more accessible form, may be generated by a computer if need be.

Some common ways to present data are bar graphs, pie charts, histograms, line graphs, and tables.