Predict Jewel Prices
A Synthetic Time Series Dataset for Predicting Daily Sales
@kaggle.stealthtechnologies_predict_jewel_prices
A Synthetic Time Series Dataset for Predicting Daily Sales
@kaggle.stealthtechnologies_predict_jewel_prices
This dataset contains information about the daily sales revenue of various (imaginary) jewelry stores. The dataset is structured to facilitate time series analysis and machine learning tasks, specifically for predicting sales patterns and trends.
| Column Name | Data Type | Description |
|---|---|---|
| Date | DateTime | The date of the recorded sales revenue. |
| Store Name (Sales) | Float | The Sales & name of the jewelry store. |
| . | // | // |
| . | // | // |
| . | // | // |
| Nth Store Name (Sales) | // | The Sales & name of the jewelry store. |
CREATE TABLE jewel_sales (
"date" TIMESTAMP,
"bijoux_chic" DOUBLE,
"bright_gems" DOUBLE,
"eclat_dor" DOUBLE -- Eclat Doré,
"elegant_jewels" DOUBLE,
"gem_hub" DOUBLE,
"gema_brillante" DOUBLE,
"la_perla" DOUBLE,
"pearl_place" DOUBLE,
"tesoros" DOUBLE
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