Data wrangling

If you have some experience working on data of some sort, you will recollect that most of the time data needs to be preprocessed so that we can further use it as part of a bigger analysis. This process is called data wrangling.

Let's see what the typical flow in this process looks like:

• Data acquisition
• Data structure analysis
• Information extraction
• Unwanted data removal
• Data transformation
• Data standardization

Let's try to understand these in detail.

Data acquisition

Even though not a part of data wrangling, this phase deals with the process of acquiring data from somewhere. Typically, all data is generated and stored in a central location or is available in files located on some shared storage...