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Article Summary

The article I chose is called Salary, Job Satisfaction, Trend of Data Jobs and comes from the website Towards Data Science. It was published on June 5th, 2021 and can be found here.

The article uses results from a survey in Stack Overflow to discuss the trends in salaries, job satisfaction, and other factors with numerous data science related jobs. The Stack Overflow survey from February 2020 had almost 65,000 responses, with people in data fields (data scientists, machine learning specialists, data engineers, etc.) answering questions about their compensation, years of coding experience, and levels of job satisfaction.

The article had several main arguments that caught my attention:

arguments <- c("Data Scientists have high salaries in the U.S. but not in Other Countries", "There are A Lot More Men in Data Science than Women", "Job Satisfaction is Not Always Positively Correlated with Salary", "The Number of Data-Related Jobs Decreased from 2019 to 2020")

kable(arguments, col.names = "Main Arguments of the Article")
Main Arguments of the Article
Data Scientists have high salaries in the U.S. but not in Other Countries
There are A Lot More Men in Data Science than Women
Job Satisfaction is Not Always Positively Correlated with Salary
The Number of Data-Related Jobs Decreased from 2019 to 2020

Plots for the Main Arguments

Salaries for Different Countries

knitr::include_graphics('global_salaries.png')

Gender Distribution in the Data Field

knitr::include_graphics('gender_dist.png')

Job Satisfaction and Salary

knitr::include_graphics('job_salary.png')

Number of Data Jobs

knitr::include_graphics('number_datajobs.png')

Author Information

The author of this article is Chuangxin Lin. Dr. Lin has a Ph.D. in Physics but is passionate about the topic of Data Science and Machine Learning. He just recently starting writing about Data Science and has written 2 other articles on the Towards Data Science website.

Areas of Application for the Article

I think that this article is incredibly useful to those who think that they might be interested in a career in Data Science and the article could be discussed in Data Science classes to show different facts about the industry. In addition, I think that this article can help companies who will hire data scientists learn more about what their employees might think, particularly the sections on job satisfaction within the data field.

What I Found Most Useful

The point of the article that I found most useful and interesting were the salary comparisons between the United States and other countries. I thought it was interesting how big of a difference the salaries could be for a data scientist depending on the country they worked in. I have always been interested in having a career in another country, just to get the experience of living in a new environment and learning another country’s culture, so I thought it was cool to see the comparisons of salaries of many countries.

HairEyeColor Dataset Within R

Table

datatable(as.data.frame(HairEyeColor))

Bar Plot

hair_plot <- ggplot(as.data.frame(HairEyeColor), aes(x=Hair, y=Freq, fill=Sex)) + geom_bar(stat = "identity")


ggplotly(hair_plot)