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An investigatory analysis of restaurant sales data using Apache Spark in an attempt to give some insights as to how to boost up the sales of less frequently sold items. This is a real-world dataset from an actual restaurant.

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nishantuzir/Spark-up-the-sales

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Spark-up-the-sales

DESCRIPTION:

The anaysis report is contained in the jupyter notebook named 'analysis.ipynb'. In case, one dosen't wish to deal with the jupyter notebook or pyspark or has no installation of jupyter notebook or pyspark in the system, an html file named 'analysis.html' containing the results of anaysis has been provided.

DEPENDENCY:

  • python (3.x or 2.7)

  • Apache Spark 2.2.0

PS: It is important to note that pyspark has to be installed to run the code inside the notebook.

PACKAGES:

The package required for running the notebook, are provided in the 'requirements.txt' file.

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An investigatory analysis of restaurant sales data using Apache Spark in an attempt to give some insights as to how to boost up the sales of less frequently sold items. This is a real-world dataset from an actual restaurant.

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