Prior to my graduate research, I had been under the impression that most breast cancer patients would receive similar treatments… Read more Prognosis and Breast Cancer Therapy
For this week’s data analysis, I used publicly available data from the Challenger Space Shuttle O-ring disaster. The model developed… Read more The Challenger O-Ring Analysis: Week 5
This week was an introduction to Python and its many quantitative functions, having had the chance to explore both Python and R programming languages, I have to say that I found Python a program that focuses on code readability, complex functions and would be highly useful for developers.
This week, I was able to explore some of the different visualization tools in R, including the standard tools such as bar plots, histograms, scatterplots and the advanced tools (i.e., ggplots).
For this week, I’ve been working with uploading data sets, performing basic computation and visualizing the data through R.
Through this weekly series, I hope to narrate my foray into data science, its relevance in today’s market and applications within the healthcare sector.
The debate and issues related to gender parity within the workforce have been long-standing. Questions as to whether females are barred indirectly from progressing into more senior roles or whether females experience negative attitudes in the workplace can be polarizing. However, statistics glaringly show lower numbers of women in more senior roles. Women make up 22% of the STEM workforce in comparison to the 78% of men (Statistics Canada, 2014), compounded with a gender pay gap of 30% (Statistics Canada, 2013) and differing attitudes towards working women, this article aims to observe some of the most recent cases of women in the modern day workplace.