Hey there, data enthusiasts! When it comes to exploratory data analysis (EDA) using SQL, formatting and presentation are crucial to effectively communicating insights. But how do you approach formatting your EDA results, and what key metrics should you highlight on your resume?
I recently gained some valuable insights with the help of ChatGPT, and I’d love to share some best practices on incorporating them into your workflow. Typically, how many insights should you aim to include in your analysis? And what’s the best way to present them?
Let’s dive into some practical tips on formatting your EDA results and showcasing your skills on your resume.
When it comes to formatting, it’s essential to make your results easy to understand and visually appealing. Consider using tables, charts, and graphs to illustrate your findings. You can also use SQL comments to add context and explanations to your code.
For presenting key metrics on your resume, focus on the most relevant and impactful insights. Highlight the metrics that demonstrate your skills and accomplishments, and be prepared to discuss them in more detail during an interview.
As for the number of insights to include, it really depends on the complexity of your analysis and the audience you’re presenting to. A good rule of thumb is to focus on 3-5 key takeaways and supporting metrics.
Do you have any favorite formatting tips or strategies for presenting EDA results? Share your thoughts in the comments below!