README.md

---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
dataset_info:
  features:
  - name: dates
    dtype: string
  - name: product_id
    dtype: string
  - name: sales
    dtype: float64
  splits:
  - name: train
    num_bytes: 38430
    num_examples: 1098
  download_size: 10860
  dataset_size: 38430
license: apache-2.0
language:
- en
pretty_name: time-series-data
size_categories:
- 1K<n<10K
---
# time-series-data

## Overview 

The time-series-data is a fake dataset containing a sales history of three years of a particular product (chocolate).

## Dataset Details

The dataset is used in this [notebook](https://github.com/Nkluge-correa/TeenyTinyCastle/blob/master/ML-Intro-Course/14_time_series_forecasting.ipynb)
to introduction to time series forecasting and XGBoost.

- Dataset Name: time-series-data
- Language:  English
- Total Size: 1,098

## Contents

The dataset consists of a data frame with the following columns:

- dates
- product_id
- sales

```bash
{
  dates: "2020-01-01",
  product_id: "chocolate",
  sales: 137
}
```

## How to use

```python
from datasets import load_dataset

dataset = load_dataset("AiresPucrs/time-series-data", split='train')

```

## License

This dataset is licensed under the Apache-2.0.