**Context** The Groceries Market Basket Dataset, which can be found [here](http://www.sci.csueastbay.edu/~esuess/classes/Statistics_6620/Presentations/ml13/groceries.csv). The dataset contains 9835 transactions by customers shopping for groceries. The data contains 169 unique items.
The data is suitable to do data mining for market basket analysis which has multiple variables.

**Acknowledgement** Thanks to https://github.com/shubhamjha97/association-rule-mining-apriori
The data is under course Association rules mining using Apriori algorithm. Course Assignment for CS F415- Data Mining @ BITS Pilani, Hyderabad Campus. Done under the guidance of Dr. Aruna Malapati, Assistant Professor, BITS Pilani, Hyderabad Campus.

**Pre-processing** The csv file was read transaction by transaction and each transaction was saved as a list. A mapping was created from the unique items in the dataset to integers so that each item corresponded to a unique integer. The entire data was mapped to integers to reduce the storage and computational requirement. A reverse mapping was created from the integers to the item, so that the item names could be written in the final output file. **Don't forget to upvote before you download :)**