Making the Most of Data to Benefit Public Health.

Transcription

1 Making the Most of Data to Benefit Public Health 1

2 Data Example: The Challenger Space Shuttle Tragedy 02/02/2018 2

3 Graphic for conference call: NASA & O-ring engineers 02/02/2018 3

4 Temperature and O-ring damage: for all previous Shuttle launches 02/02/2018 4

5 Trend in O-ring damage 02/02/2018 5

6 Trend (loess) in O-ring damage 02/02/2018 6

7 Predicted Challenger launch temperature (ºC) ( 28/1/86) and trend in O-ring damage 02/02/2018 7

8 NASA and the O-ring engineers (Morton Thiokol) did not apply Data Science 02/02/2018 cidents/assets/rogers_commission_report.pdf 8

9 Data Science Interdisciplinary (and includes) Statistics Visualisation Computer science Information science Data mining Machine learning 02/02/2018 9

10 Data Science info graphic 02/02/

11 Water Supply E.coli time line 02/02/

12 Water Supply E.coli monthly distribution 02/02/

13 Not a Database Format 02/02/

14 Database Format 02/02/

15 The Joy of Data Science 02/02/

16 World Health Organisation (WHO) TB data represented spatially 02/02/2018 Reference:- 16

17 Hospital Wing: Hot Water Temperatures 02/02/

18 Hot Water Temperatures: For Infection Control 02/02/

19 Cold Water Temperatures typical 02/02/

20 Tools for Data Science six-reasons-to-use-r-for-business.html. User friendliness Capability 02/02/

21 UK Government is changing its approach to producing official statistics 02/02/

22 Open Source R R has many resources and an active online community not difficult to teach yourself Many corporate users: NASA, Google, Microsoft, Schneider Electric, etc Use extensively in Academia R is used to teach statistics by default 02/02/

23 R R is an open-source programming language and software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians/data scientists for developing statistical software and data analysis. Download and install the latest version of R (R is regularly updated) (R can also be downloaded for Mac & Linux) 02/02/

24 RStudio Use R through RStudio. Download and install the latest version of RStudio from their web page [Download the Desktop FREE version] A couple of introductory books: R for Dummies 2 nd Edition R Fundamentals 1:Working with R (Stephanie Locke) 02/02/

25 R Packages Much of the ability of R is derived from its packages, these add real value to the data science being applied. The packages are developed by a wide variety of contributors and are most commonly provided as a General Public Licence (GPL). The tidyverse package is a collection of packages useful to data science (e.g. loading/manipulating data and plotting graphs) fully described at How to apply the tidyverse packages is also illustrated in the R for Data Science Book by Garrett Grolemund & Hadley Wickham the whole book is published online! 02/02/

26 RMarkdown RMarkdown documents are fully reproducible and support dozens of static and dynamic output formats. It can transform your analyses into high quality documents, reports, presentations and dashboards. RMarkdown is integrated into RStudio, a full introduction to RMarkdown can be found: 02/02/

27 Webinars to Watch Getting your data into R What s new with readxl (get data from Excel) Data wrangling with R and RStudio Getting started with R Markdown The Ecosystem of R Markdown There are numerous videos on YouTube, of varying quality, 02/02/2018 covering all aspects of R/RStudio/RMarkdown 27

28 What to do when you get stuck Google the question (as a sentence in English) The answer is likely to appear in stack overflow Other good answer for sources (not an exhaustive list): Quick - R R Tutorial To keep up to date, with coding ideas and new packages, sign up to R-bloggers 02/02/

29 Other Open Source Software that works with R/RStudio/RMarkdown Needed to produce PDF reports from RMarkdown (can be downloaded for Win, Mac & Linux) an open source bibliography reference manager. The native file format used by JabRef is BibTeX (can be downloaded for Win, Mac & Linux) 02/02/

30 Apply Data Science to data and extract knowledge 02/02/

31 Thank you 02/02/