The Gender of Big Data

When I grow up I want to be a dancer (Carmen, my beautiful daughter)

The presence of women in positions of responsibility inside Big Data companies is quite far of parity: while approximately 5o% of world population are women, only 7% of CEOs of Top 100 Big Data Companies are. Like it or not, technology seems to be a guy thing.

To do this experiment, I did some webscraping to download the list of big data companies from here. I also used a very interesting package called genderizeR, which makes gender prediction based on first names (more info here).

Here you have the code:

library(rvest)
library(stringr)
library(dplyr)
library(genderizeR)
library(ggplot2)
library(googleVis)
paste0("http://www.crn.com/slide-shows/data-center/300076704/2015-big-data-100-business-analytics.htm/pgno/0/", 1:45) %>%
c(., paste0("http://www.crn.com/slide-shows/data-center/300076709/2015-big-data-100-data-management.htm/pgno/0/",1:30)) %>%
c(., paste0("http://www.crn.com/slide-shows/data-center/300076740/2015-big-data-100-infrastructure-tools-and-services.htm/pgno/0/",1:25)) -> webpages
results=data.frame()
for(x in webpages)
{
read_html(x) %>% html_nodes("p:nth-child(1)") %>% .[[2]] %>% html_text() -> Company
read_html(x) %>% html_nodes("p:nth-child(2)") %>% .[[1]] %>% html_text() -> Executive
results=rbind(results, data.frame(Company, Executive))
}
results=data.frame(lapply(results, as.character), stringsAsFactors=FALSE)
results[74,]=c("Trifacta", "Top Executive: CEO Adam Wilson")
results %>% mutate(Name=gsub("Top|\bExec\S*|\bCEO\S*|President|Founder|and|Co-Founder|\:", "", Executive)) %>%
mutate(Name=word(str_trim(Name))) -> results
results %>%
select(Name) %>%
findGivenNames() %>%
filter(probability > 0.9 & count > 15) %>%
as.data.frame() -> data
data %>% group_by(gender) %>% summarize(Total=n()) -> dat
doughnut=gvisPieChart(dat,
options=list(
width=450,
height=450,
legend="{ position: 'bottom', textStyle: {Size: 10}}",
chartArea="{left:25,top:50}",
title='TOP 100 BIG DATA COMPANIES 2015
Gender of CEOs',
colors="['red','blue']",
pieHole=0.5),
chartid="doughnut")
plot(doughnut)