Today's Visualization (R)

source: https://www.kaggle.com/kaggle/kaggle-survey-2017?utm_medium=partner&utm_source=datacamp.com&utm_campaign=ml+survey+case+study&select=multipleChoiceResponses.csv

The survey received over 16,000 responses and we learned a ton about who is working with data, what’s happening at the cutting edge of machine learning across industries, and how new data scientists can best break into the field.

Which platforms do data scientists find useful?

from 2017 Kaggle Machine Learning & Data Science Survey

using R with ggplot2

useful_platform_per <- useful_platform_per %>%
  mutate(usefulness_f = fct_recode(usefulness_f, "0" = "Not Useful", "1" = "Somewhat useful", '2' = "Very useful"))

ggplot(useful_platform_per, aes(x = usefulness_f, y = perc_useful_platform*100, group = learning_platform)) + 
  geom_line(color = "purple") + 
  geom_point() +
  facet_wrap(~ learning_platform) +
  labs(x = "Usefulness: 0 = Not Useful, 1 = Somewhat useful, 2 = Very useful", y = "Responses (%)")

Findings: Courses, Kaggle, and Projects are the most appreciated platforms by data scientists. I absolutely agree -- I believe we need to get our hands dirty to improve our skillset.