How can data visualization skills improve your career?

Data visualization skills enhance communication by presenting complex data clearly, aid in data-driven decision-making, identify patterns efficiently, and create compelling narratives. These skills offer diverse career opportunities and a competitive advantage in many fields. Improves communication, decision-making, and storytelling. Identifies patterns, boosts efficiency, and enhances career opportunities in various fields. By honing your data visualization skills, you not only make yourself more marketable but also contribute significantly to the success of any organization you are a part of.

Data visualization skills can propel your career forward by showcasing your ability to transform complex data into easily understandable visuals. This not only makes you a valuable asset in data-driven environments but also opens doors to more advanced roles and responsibilities. As you master data visualization, you become more valuable to your organization. Your capacity to distill intricate data into clear, actionable insights is a skill highly sought after in various industries, contributing to your professional worth. Data visualization empowers you to advance in your career by increasing your professional value, visibility, and capacity to communicate effectively with impactful visuals.

Whether it is for internal use within the organisation or for external publication, fostering an awareness for what is or is not ethical in the domain of visual communication is of the utmost importance. Data is not neutral; visualizations are not neutral. There is a sort of impression that if it is quantitative, it is objective or neutral or even apolitical. Similarly, visuals can be misleading and make viewers believe they represent reality as it is. We just need to look back at the campaign of the pro-Brexiters displaying bluntly misleading figures about the UK contribution to the EU budget and how these amounts could be redirected to the UK’s public health system.

Always consider the organizational culture in which you are developing the visual for. If it's a company that uses a lot of bar charts, default to bar charts when appropriate. Org cultures have a lot of say in how easily certain visuals are interpreted based on previous use of them. The quicker a person can interpret the visual, the better you've done your job. So, consider what your org culture has used in the past when preparing visuals.

Taking the legal industry, so much could be possible. Yet legal professionals have been encapsulated in the textual world and less prompt to numerical or visual modes of expression. This is evolving big times with the advent of legislative data visualization, sometime even interactive data visualization of entire legal framework. The digital transformation of the legal industry also creates new vistas. Data, information, knowledge are more and more multimodal and include visualization. It also comes from more attention paid to legal operations as a business space with more computing capacity invested than ever before.

You can also create impressive visualizations with the assistance of Python programming. Libraries such as Matplotlib and Seaborn offer a wide range of charts to choose from. When it comes to interactive visualization with Python, Plotly truly excels. However, you could also consider using other tools like Bokeh, Streamlit, or mpld3.