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Data visualisation project for vending machine sales data using Power BI, Python and Excel Resources

Explore and run machine learning code with Kaggle Notebooks | Using data from Vending Machine Sales

Database system of vending machine transactions. Contribute to yiranni/vending-machine-database development by creating an account on GitHub.

composition of products sold in the vending machine. This data can hence be used to guide shoppers towards an affordable or a rather healthy product, for example within a mixed re-

2020年10月1日 · To assess the potential of current neural network architectures to reliably identify packaged products within a retail environment, we created an open-source dataset of 295 shelf images of vending machines with 10’035 labelled instances of 109 products.

The table contains data on cash and card transactions for 1395 entries, including dates, cash types, card types, amounts, and coffee names. This data can be used to analyze trends in payment methods, popular coffee choices, and overall sales patterns over time.

2024年8月4日 · How to Create Data Dictionary in Excel: Step-by-Step Procedure. In the following article, we will describe 3 easy steps to create a Data Dictionary in Excel. Here, we used Excel 365. You can use any available Excel version.

2022年8月13日 · Vending Machine Logic. A function machine() is written in the vending machine with a Python program, which is the program’s primary function. This function will take 3 arguments: the items_in_stock dictionary, the run variable with a boolean value, and the_item list will contain all the intended items by the user.

There are some criteria and constraints to work around: Criteria: The vending machine needs to sell popular drinks to help your team earn as much money as possible in 6 months. The vending machine is restocked twice a month. -Only standard-size 12-oz. cans, 20 oz. plastic bottles, and single-serve milk cartons will fit in the machine.