#๐ Ensuring data quality while importing data from multiple sources
11 messages ยท Page 1 of 1 (latest)
@echo harbor
Remember to:
- Ask your Python question, not if you can ask or if there's an expert who can help.
- Show a code sample as text (rather than a screenshot) and the error message, if you've got one.
- Explain what you expect to happen and what actually happens.
:warning: Do not pip install anything that isn't related to your question, especially if asked to over DMs.
What do you mean by data quality?
normalize the data to an expected input for further processing
input1 = a, b , c
input2 = (a, b, c, d)
input3 = {x:a, y:b, z:c}
need to get normalized to 1 format to use.
This is after importing though.
OP said while importing.
Maybe I'm misunderstanding the question.
implies the samething to me, you import the data from sources, quality is subjective...
if each provides more or less data, but all have required data, its normalizing, stripping just the data u need no?
This is a meaningless question. What criteria are to be applied to determine whether it is of poor quality? And if it is below par, what do you intend to do? Change the data, skip items, skip the whole set or something else? First you need to answer those questions (and only you can do that), later, and only later, can you begin to think about how to apply that to the actual data.
This help channel has been closed. Feel free to create a new post in #1035199133436354600. To maximize your chances of getting a response, check out this guide on asking good questions.