How does data cleaning play a vital role in data analysis

Question

I want to know how data cleaning plays a vital role in analysis?

Answer 1

Data cleaning can help in analysis because:

• Cleaning data from multiple sources helps to transform it into a format that data analysts or data scientists can work with.
• Data Cleaning helps to increase the accuracy of the model in machine learning.
• It is a cumbersome process because as the number of data sources increases, the time taken to clean the data increases exponentially due to the number of sources and the volume of data generated by these sources.
• It might take up to 80% of the time for just cleaning data making it a critical part of analysis task.

Secure Your Future in Data Analysis - Enroll Today at Our Unbeatable Data Analyst Course Fee!

Answer 2

Data is the core you do your analysis upon, unclean data generate un-accurate and ambiguous results from the analysis

Let's take an example to understand this further:

You want to categorize similarly color clothes together from the following table:

S no.	Item name	Color	Size
1	T-shirt	bleu	S
2	T-shirt	Blue	M
3	Jeans	Black	L
4	T-shirt	Blue	XL
5	Jeans	Black	L

 

As the data is unclean the analysis will show 3 color categories instead of two, hence data cleaning is a vital process of data analysis.