https://github.com/najibadan/cognizant_ai
https://github.com/najibadan/cognizant_ai
Last synced: 5 months ago
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- Host: GitHub
- URL: https://github.com/najibadan/cognizant_ai
- Owner: NajibAdan
- Created: 2023-05-24T04:39:18.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2023-06-15T09:14:03.000Z (over 2 years ago)
- Last Synced: 2025-02-16T19:17:34.564Z (8 months ago)
- Language: Jupyter Notebook
- Size: 1.99 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# About
A retail grocery store that heavily uses IoT is looking for a way to estimate whether or not a product should be stocked.
# Dataset
- `sales.csv` contains sales data
- `sensor_stock_levels.csv` contains IoT sensor data of estimated stock percentage for a particular product at a particular time
- `sensor_storage_temperature.csv` contains IoT sensor data for the temperature.
## Data Description for `sales.csv`
- transaction_id = this is a unique ID that is assigned to each transaction
- timestamp = this is the datetime at which the transaction was made
- product_id = this is an ID that is assigned to the product that was sold. Each product has a unique ID
- category = this is the category that the product is contained within
- customer_type = this is the type of customer that made the transaction
- unit_price = the price that 1 unit of this item sells for
- quantity = the number of units sold for this product within this transaction
- total = the total amount payable by the customer
- payment_type = the payment method used by the customer