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---
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. |