There’s a common phrase in data analysis – “Garbage in, garbage out”. That means that the quality of your analysis and insights is closely tied to the quality of the data you analyze. Without proper data preparation, any subsequent analysis will be flawed.
Data preparation helps you identify potential flaws and pitfalls in your dataset. Preparing data and identifying the opportunities in the data you have will help you seamlessly analyze your data, produce actionable insights, and confidently communicate with stakeholders.
In this ebook, you’ll learn how to:
- Evaluate data fields for relevance to your research question and quality of the measurement
- Identify and rectify data issues such as invalid entries and inconsistent formats
- Communicate the benefits and limitations of your dataset to stakeholders
- Advocate for alternative paths forward for your data project
Download your copy of Prepare: Avoid Common Pitfalls by Analyzing the Right Data.
