Do you use a Data Cleaning Checklist or just go through the motion to get it ready?

Here are a few questions you should ask to make sure your data is ready and reliable:

🔹Is my data unbiased?

🔹Is my Data up-to-date?

🔹Are there missing values, and what are the causes?

🔹Are there erroneous values?

🔹For each field (input or target), does my data have the same unit?

🔹For each field (input or target), is the meaning of my data consistent?

🔹Is the same value recorded in the same way everywhere?

🔹Are there any duplicates?

🔹Are all sources of noise removed from my data?

🔹Have I identified and removed sources of data leakage?

🔹Are there any obvious outliers?

Any other questions I should ask?

Shout out to Robin, CEO of Itelnet for providing a service that makes data consistent and reliable, giving data scientists 80% of their time back so they can focus on creating value for their business.

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