MPA 630: Data Science for Public Management September 27, 2018

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Presentation transcript:

MPA 630: Data Science for Public Management September 27, 2018 DATA WRANGLING I MPA 630: Data Science for Public Management September 27, 2018 Fill out your reading report on Learning Suite

Answering your own questions with data PLAN FOR TODAY ¡Exam! Reproducibility Technical stuff Answering your own questions with data

EXAM

BREAK

REPRODUCIBILITY

Debt:GDP = 90%+ → −0.1% growth AUSTERITY AND EXCEL https://www.bloomberg.com/news/articles/2013-04-18/faq-reinhart-rogoff-and-the-excel-error-that-changed-history https://www.fa-mag.com/news/reinhart-rogoff-paper-cited-by-ryan-faulted-by-umass-economists-13993.html Debt:GDP = 90%+ → −0.1% growth

AUSTERITY AND EXCEL Thomas Herndon http://www.bbc.com/news/magazine-22223190

AUSTERITY AND EXCEL Debt:GDP = 90%+ → 2.2% growth Australia, Austria, Belgium, Canada and Denmark - 15/20 were included https://www.bloomberg.com/news/articles/2013-04-18/faq-reinhart-rogoff-and-the-excel-error-that-changed-history https://www.fa-mag.com/news/reinhart-rogoff-paper-cited-by-ryan-faulted-by-umass-economists-13993.html

20% of genetics papers between 2005–2015 GENES AND EXCEL Septin 2 Membrane-Associated Ring Finger (C3HC4) 1 2310009E13 Septin 2 – SEPT2 Membrane-Associated Ring Finger (C3HC4) 1 – MARCH1 2310009E13 20% of papers between 2005-2015 – checked 35,000 lists of genes! 20% of genetics papers between 2005–2015

GENERAL GUIDELINES Don’t touch the raw data Use self-documenting code If you do, explain what you did! Use self-documenting code R Markdown! Ensure code is reproducible R Markdown! Use open formats Use .csv, not .xlsx

R MARKDOWN IN REAL LIFE https://peerj.com/preprints/3182.pdf + https://gdsdata.blog.gov.uk/2017/03/27/reproducible-analytical-pipeline/ + http://archive.somervillema.gov/dashboard/daily.html

TECHNICAL STUFF

LEFT_JOIN

LEFT_JOIN libraries %>% left_join(county_seats, by = "County")

LEFT_JOIN

LEFT_JOIN libraries %>% left_join(lions, by = c("County", "Year"))

LEFT_JOIN

RIGHT_JOIN

RIGHT_JOIN libraries %>% right_join(lions, by = c("County", "Year"))

RIGHT_JOIN

LEFT_JOIN libraries %>% left_join(lions, by = c("County", "Year")) %>% left_join(county_seats, by = "County")

LEFT_JOIN

COMMON PROBLEM SET ISSUES .ZIP files Working directories and projects

ANSWERING YOUR OWN QUESTIONS WITH DATA