Here's how you can navigate incomplete or messy data during analysis.
Navigating incomplete or messy data is a common challenge in the field of data analytics. Whether you're a seasoned analyst or just starting out, you'll inevitably encounter datasets that are less than perfect. But don't worry, there are strategies you can employ to make sense of the chaos and extract valuable insights. This article will guide you through practical steps to handle and analyze data even when it's not in an ideal state.
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Soham ShahAnalyst @RIVIAN | Top Data Analytics Voice | Ex - Data Analyst @Planning Real Estate and Facilities, Northeastern |…
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Pulkit SinghData & Analytics Leader- Data Engineering | Business Intelligence | Data Analytics | Data Governance
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Samen Anjum AraniReport Developer at Kontoor Brands, Inc (Data Analyst | Microsoft Power BI Analyst)