Here's how you can navigate working with incomplete or messy data.
Navigating incomplete or messy data is a common challenge in data analytics. When you encounter such datasets, it can seem daunting at first, but there are strategies you can employ to make sense of the chaos. The key is to approach the problem methodically, using a set of tools and techniques that can help you clean, organize, and interpret your data effectively. Whether you're dealing with missing values, inconsistent formatting, or just a sheer volume of unstructured information, understanding how to handle these issues is crucial. By following some essential steps, you can transform an unruly dataset into a well-structured source of insights that can inform your analysis and decision-making processes.
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Naresh Kumar MSoftware Project Lead @Big Bucks Innovation |Ex - Machine Learning Intern @CDAC | Machine Learning | Data Analyst |…
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Ragamalika KarumuriAWS cloud intern at OneData Software Solutions| MS in Information Systems @ Northeastern University, Boston| Ex- Senior…
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Clara RaphaelData Evangelist | Data Intelligence and Analytics | Empowering visionary founders to build and deploy data solutions…