1. Using the Sankey_Data.csv dataset, create a snakey diagram.
2. Write an interpretation.
The Sankey diagram illustrates the flow of layoffs from various
companies to different job types. The width of the links represents the
number of layoffs.
Observations:
1.Amazon: A significant number of layoffs occurred in software
engineering and data science roles.
2.Meta: Layoffs were concentrated in software engineering, data
science, and marketing positions.
3.Twitter: A substantial portion of layoffs affected software
engineering and data science roles.
4.Microsoft: Layoffs were spread across multiple job types,
including software engineering, data science, and marketing.
Overall Trends:
1.Software Engineering: This job type consistently experienced the
highest number of layoffs across all companies.
2.Data Science: Data science roles were also heavily impacted by
layoffs, particularly at Amazon, Meta, and Twitter.
3.Marketing: Marketing positions were affected by layoffs at Meta
and Microsoft.
Additional Insights:
1.HR & Talent Sourcing: While not the primary focus of layoffs,
some job cuts occurred in this area.
2.Cloud & Data Centers: A smaller number of layoffs were
observed in this sector.