https://github.com/denisecase/smart-sales-raw-data
Holds some raw data for a smart sales project. Generally, save these files to your project and put them in the data/raw folder.
https://github.com/denisecase/smart-sales-raw-data
Last synced: 2 months ago
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Holds some raw data for a smart sales project. Generally, save these files to your project and put them in the data/raw folder.
- Host: GitHub
- URL: https://github.com/denisecase/smart-sales-raw-data
- Owner: denisecase
- Created: 2024-10-19T12:58:24.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2025-05-05T11:48:45.000Z (over 1 year ago)
- Last Synced: 2025-05-05T12:41:00.539Z (over 1 year ago)
- Size: 6.84 KB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# smart-sales-raw-data
This repo provides **raw data** for the Smart Sales project.
These CSV files represent the **original, messy, real-world data** typically received from point-of-sale systems or other information sources, before any cleaning, transformation, or analysis.
## Instructions
1. Open your smart sales repository in VS Code.
2. Run `git pull` to ensure you have the most current work from your GitHub repository.
3. Create a folder named `data`, and in that data folder, create another folder named `raw`.
4. Save each .csv (comma separated value) file in this repo's `data\raw` folder to the `data/raw` folder of your smart sales repository.
5. Git add-commit-push your work to your GitHub repository.
## Raw Data Examples
`data/raw/customers_data.csv`
```csv
CustomerID,Name,Region,JoinDate
1000,Robert Gomez,West,2024-02-25
1001,John Silva,East,2020-12-01
```
`data/raw/products_data.csv`
```csv
ProductID,ProductName,Category,UnitPrice
2000,Electronics-Be,Electronics,969.31
2001,Electronics-Be,Clothing,412.35
```
`data/raw/sales_data.csv`
```csv
TransactionID,SaleDate,CustomerID,ProductID,StoreID,CampaignID,SaleAmount
1,2025-05-04,1034,2059,402,0,2048.2
2,2025-05-04,1066,2048,403,1,321.87
```
## Recommended Tools
- VS Code Extension: Rainbow CSV – colors columns for easier reading and alignment
- Optional: Excel or Google Sheets – to explore and preview raw
## Optional Reference
Learn more about how different tools handle date fields - see [REF-DATES.md](REF-DATES.md)