1. Using the Sankey_Data.csv dataset, create a snakey diagram.
The graph shows layoffs across tech companies, with Amazon and
Microsoft having the highest numbers, particularly in HR & Talent
Sourcing and Software Engineering.
2. Write an interpretation.
The migration of layoffs from different organizations to different
job kinds is seen in the Sankey diagram. The number of layoffs is
indicated by the links’ width.
Observations:
1. Amazon: Data science and software engineering positions had a
large number of layoffs.
2. Meta: Positions in marketing, data science, and software
engineering saw the most layoffs.
3. Twitter: Data science and software engineering positions were
impacted by a significant percentage of layoffs.
4. Microsoft: Layoffs occurred in a variety of job categories, such
as marketing, data science, and software engineering.
Overall Trends:
1. Software Engineering: Across all firms, this job type has
continuously seen the most layoffs.
2. Data Science: Layoffs had a significant effect on data science
positions as well, especially at Amazon, Meta, and Twitter.
3. Marketing: Layoffs at Microsoft and Meta had an impact on
marketing positions.
Additional Insights:
1. HR & Talent Sourcing: Although not the main target of
layoffs, some positions were eliminated in this sector.
2. Cloud & Data Centers: This industry saw fewer layoffs than
the others.