adding cran maintainers 2017 info from Pinto et al. 2018 (#108)

* adding cran maintainers 2017 into from Pinto et al. 2018

* fixed image paths

* attempting to fix how images display on page

* added missign quote to div tag

* made Heather's changes & updates plot figures to be rounded instead of truncated

* fixed typo on location bullet

content/data.md

@@ -8,45 +8,67 @@ tocify: true
 
 ### Current Efforts
 
-The survey sub-team is focused on monitoring diversity and exploring obstacles, motivations, and involvement of useRs in the community.  Diversity will be monitored via basic demographic summaries from specifically designed surveys or other community surveys (e.g. useR! feedback survey).
+The survey sub-team is focused on monitoring diversity and exploring obstacles, 
+motivations, and involvement of useRs in the community. Diversity will be 
+monitored via basic demographic summaries from specifically designed surveys 
+or other community surveys (e.g. useR! feedback survey).
 
 ### Former Efforts
 
 The taskforce collates data on the gender breakdown and other demographics of
 contributors to the R project, particularly R Foundation supported activities. 
-For many of the gender summaries the gender is predicted based on first name,
+For many of the gender summaries the gender was predicted based on first name,
 giving a rough approximation that assumes binary gender categories.
 
+
 ## Packages
 
-### Maintainer Gender 2016
-
-CRAN maintainers as of March 2016 were processed with the **genderizer** 
-package, which utilizes the https://genderize.io/ API to predict gender from 
-first names, with an associated probability that the prediction is correct. In 
-some cases genderize.io fails to make a prediction, particularly
-for Asian names, so the results were supplemented by manual predictions based on
-personal knowledge (with help from Chinese colleagues).
-
-Using assignments as given, i.e. treating predictions with probability > 0.5
-as correct, 14.8% of the 7854 maintainers were predicted as female. Clearly this
-is a rough estimate as not all maintainers with the same name will share the 
-same gender. The frequencies could be adjusted by the probabilities, but this 
-would over-estimate the proportion of female maintainers as the probabilities 
-are based on a general population rather than the population of programmers, 
-which is known to be male-dominated. For example genderize.io assigns the name 
-"Robin" as female with probability 0.59, however the proportion of females among
-CRAN maintainers with the name Robin is around 10%. So a better estimate is 
-obtained by focusing on names that are strongly predictive of gender, i.e. with
-probability at least 0.8, giving an estimate of 11.4%.
+### Maintainer Demographics 2017
 
-<div class="commentbox">
-In 2016, 11.4% of package maintainers were women. </div>
+In [Pinto, Wiese & Dias (2018). How Do Scientists Develop Scientific Software? An External Replication](http://gustavopinto.org/lost+found/saner-rene2018.pdf), the authors surveyed CRAN maintainers that self-identified as a 
+scientist. The survey was conducted starting in late November 2017 and ending in early January 2018. The respondents were contacted 
+by email and asked to complete an online questionnaire, with a response rate of 24% (a total of 1,553 responses). 
+
+<div class="commentbox"> In 2017, 11.0% of package maintainers who self-identified as scientists were women or non-binary. </div>
+
+- 44.6% of respondents self-identified between 30 and 40 years of age at the time of the survey.
+
+- Overwhelmingly, 80.0% of respondents self-identified as either having a completed or in-progress doctorate degree.
+
+- 16.5% of the respondents self-identified as being located outside of Europe and North America.
 
-<img src="../images/genderizer_authors.svg" 
-    alt="histogram of male/female package authors"
-    height = "450px"
-    width = "310px"/>
+<br>
+
+<div style="display: flex; justify-content: center">
+<img src="../images/pinto_et_al_2018_gender_plot.png" 
+    alt="In 2017, of the package authors surveyed, 10.9% of respondents self-identified as female, about 88.2% self-identified as male, 0.1% of respondents self-identified as non-binary."
+    width = "425"/>
+<img src="../images/pinto_et_al_2018_age_cats_plot.png" 
+    alt="44.6% of respondents self-identified between 30 and 40 years of age at the 
+    time of the survey. 23.2% self-identified being younger than 30 and 32.0% as being 
+    older than 40 years of age. The remainder did not provide an answer. "
+    width = "425"/>
+</div>   
+
+<br>
+
+<div style="display: flex; justify-content: center">
+<img src="../images/pinto_et_al_2018_educ_plot.png" 
+    alt="80.0% of respondents self-identified as either having a completed or in-progress 
+    doctorate degree. 15.8% as either having completed or are in progress of 
+    completing a master’s degree and 3.9% as either having completed or are in 
+    progress of completing a bachelor’s degree. The remainder did not provide 
+    an answer."
+    width = "425"/>
+<img src="../images/pinto_et_al_2018_loc_plot.png" 
+    alt="Almost half (48.9%) of the respondents self-identified their location in 
+    Europe and another 34.2% self-identified their location in North America. The 
+    remaining package authors who responded to the survey are distributed across 
+    the globe, including Asia (5.9%), South America (5.6%), Oceania (4.1%), 
+    Africa (0.5%), and Central America (0.4%). The remainder did not provide 
+    an answer. "
+    width = "425"/>
+</div>
 
 ### Author Demographics 2010