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Data Cleansing: 4 ways to generally clean your list

posted by Margaret Spencer on November 24, 2015

 

Data Cleansing- 4 ways to generally clean your listYou can’t avoid messing up your own Data, let alone fixing other data. Inaccurate or outdated information data can hurt your company, so it’s important for you to clean, fix and remove duplicate data. Of course, having said this, you need tools to help you clean unwanted Data from time to time.

Ensuring that your data is clean and in good working order you need to apply methods that is effective in cleaning up your data. I’ll reveal to you some of the ways I’ve learned throughout my Data Cleansing experience.

#1 Removing Duplicates Rows

Some clients will require you to clean duplicates, having said this, you need to analyze every single one of those lists to ensure that you can spot duplicates. So how can we know if it’s a duplicate? Well, it’s pretty easy considering that the name of the person, job title, number and company are the same. There are instances that the company is double but the name of that person is different, this can be considered as duplicate if the client only asks for one member of each company.

#2 Spell Check

Misspelled words can cause you a lot of misunderstanding in your data, if you want to avoid those misspelled word from happening, use a spell checker.

#3 Misusage of Formats

Maintaining a clean database means  that you need to make sure that everything must be in its proper format. If those formats are incorrect then your entire database will be in ruins. Of course, in excel it’s easy for us to properly format the list.

#4 Removing unnecessary data

To keep your list on the right track, you need to remove incorrect data and replace or search for the correct data to be inputted.

 

There are many ways to clean your data, you can read it or you can learn from it by practicing it every time, you are asked to do it. But only remember that you need to input the right Data in order for your data list to be accurate.

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