Understanding the datasets
Finding out an appropriate dataset is a challenging task in data science. Sometimes, you find a dataset but it is not in the appropriate format. Our problem statement will decide what type of dataset and data format we need. These kinds of activities are a part of data wrangling.
Note
Data wrangling is defined as the process of transforming and mapping data from one data form into another. With transformation and mapping, our intention should be to create an appropriate and valuable dataset that can be useful in order to develop analytics products. Data wrangling is also referred to as data munging and is a crucial part of any data science application.
Generally, e-commerce datasets are proprietary datasets, and it's rare that you get transactions of real users. Fortunately, The UCI Machine Learning Repository hosts a dataset named Online Retail. This dataset contains actual transactions from UK retailers.
Description of the dataset
This Online Retail dataset contains...
