What exactly is Data wrangling

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What exactly is Data wrangling

Hi,

I am wondering What exactly is Data wrangling and what all things are done for this?

What should i learn to master Data wrangling in Data Science?

Thanks

View Answers

April 17, 2019 at 5:08 AM

Hi,

Data wangling is a process for properly creating the data for training the machine learning model. Here 80% of time of a Data scientist goes into the data preparation for model training and testing. So, the Data wrangling is an important skill to master. There is not book or university course on the Data Wrangling topic, every Data Scientist are learning it themselves. They have to find out the ways to clean and prepare the data for machine learning.

All the programming language comes with the API for reading and processing the data. So, Data scientists create their own logic for data cleansing and making it ready for training the model.

There six steps that must be performed as part of Data wrangling. These steps are:

  • Data collection: First of all targeted data is collected from internal or external sources

  • Understanding the data: Then data is understood and planning is done for data cleansing

  • Data cleansing: The next step is to clean up the data by performing the operations like de-duplication, blanks removal/replacement, and removal of other errors of data

  • Joining the data: Finally data is joined into one or multiple tables based on the requirement

  • Saving the data: Then final data is saved into Hive or CSV files for running analytics or machine learning training

  • Data Visualization: Various programming tools are used for visualization of cleaned data to check its quality. Through visualization we can find out the outliers and illogical data. If there is any data error then it must be removed before training machine learning model or performing any analytics.

The Data wrangling process is also compute intensive; so, Apache Spark, R, or Python can be used which is good tool and come with the power of distributed processing. The Data wrangling is one of the most import concepts of Data science and every Data engineer must learn these techniques. If you have any questions ask here.

Data Science Tutorials:

Thanks

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