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As part of Women's History Month in the United States, your company is writing a piece on parental leave policies across the business world and they need you to create an impactful visual using the data you collected.
The dataset included ~1,600 companies' data on industry, paternity, maternity, and paid/unpaid leave amounts.
Some initial questions I wanted to explore were:
I decided to not collect additional data on job satisfaction from Glassdoor. It started to prove a bit too time intensive to create a workflow in Selenium that can scrape job satisfaction data at scale for all companies in the list.
Additionally, the focal point of the analysis was the distribution of maternity leave and not so much job satisfaction.
There really wasn't any data cleaning that needed to happen. However, I removed any records that had an industry category of #N/A from the dataset - which resulted in 3 records being removed.
First, I noticed both the average paid maternity and unpaid maternity leaves fell below 12 weeks.
This was an interesting insight and I wanted to probe deeper to see how many companies offered below the minimum mandated maternity leave with paid and unpaid leave combined.
I found 1 in 4 companies on average provide less than 12 weeks of maternity leave.
The industries with the most companies that offer below 12 weeks of maternity leave consisted of Technology, Healthcare, Retail, Business Services, Education, and Insurance.