It is easier to understand complex information through the use of graphs and bar charts as well as pie charts and histograms. Visualization supports procedural organization by allowing a person understand the relationship between many aspects, making it easier to make informed decisions and choose the right option. There are many visualization options available depending on the message being conveyed. Data source for graphic analysis is the HR churn rates between 27 May 2021 and 8 May 2022. (Kumar, 2022).
Covid-19’s popularity posed dangers to economic security for many people. In order to be financially sustainable, companies had to let go of certain workers. Many firms are now rehiring the workers they have laid off as the economy recovers. Many companies expressed concern about how long it would be viable to hire younger workers, especially millennials. These people are less likely than others to leave their job. The visualization can help to determine if age is associated with attrition. The image is also a representation of the multiple circumstances that can lead to a person quitting a job that pays well, at a time that other people struggle to obtain jobs that allow them to have a stable existence. This representation helped me understand professionals who have high turnover rates. This visualization helps to understand the labour market and institutional efforts to keep employees.
To communicate with the public and to explain attrition, the creator of this graphic employs many methods (Behrisch (2018). In some cases, the author makes use of pie charts, bar graphs and the Likert Scale. Visualization helps the audience understand the relationships between work function, position, gender, age and education as well as the attrition rate. The pie chart shows the relationship between attrition rate and organizational department. As an example, Research and Development (16%) and Sales (26% respectively) are the departments with highest turnover rates. Human Resources (24%) is also the most popular. Also, the pie charts showed the relationship between gender and attrition. The men had a lower rate (20.5%), while girls had a 17.2%. This material is simple and easy for everyone to grasp. Bar charts are used by the author to show the effects of age, education, and attrition.
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