dates
stringlengths 10
10
| product_id
stringclasses 1
value | sales
float64 0
466
|
|---|---|---|
2020-01-01 | chocolate | 137 |
2020-01-02 | chocolate | 87 |
2020-01-03 | chocolate | 188 |
2020-01-04 | chocolate | 286 |
2020-01-05 | chocolate | 156 |
2020-01-06 | chocolate | 111 |
2020-01-07 | chocolate | 113 |
2020-01-08 | chocolate | 138 |
2020-01-09 | chocolate | 71 |
2020-01-10 | chocolate | 102 |
2020-01-11 | chocolate | 214 |
2020-01-12 | chocolate | 161 |
2020-01-13 | chocolate | 93 |
2020-01-14 | chocolate | 94 |
2020-01-15 | chocolate | 172 |
2020-01-16 | chocolate | 69 |
2020-01-17 | chocolate | 142 |
2020-01-18 | chocolate | 166 |
2020-01-19 | chocolate | 160 |
2020-01-20 | chocolate | 117 |
2020-01-21 | chocolate | 148 |
2020-01-22 | chocolate | 156 |
2020-01-23 | chocolate | 94 |
2020-01-24 | chocolate | 158 |
2020-01-25 | chocolate | 227 |
2020-01-26 | chocolate | 109 |
2020-01-27 | chocolate | 91 |
2020-01-28 | chocolate | 99 |
2020-01-29 | chocolate | 73 |
2020-01-30 | chocolate | 72 |
2020-01-31 | chocolate | 122 |
2020-02-01 | chocolate | 251 |
2020-02-02 | chocolate | 202 |
2020-02-03 | chocolate | 98 |
2020-02-04 | chocolate | 110 |
2020-02-05 | chocolate | 115 |
2020-02-06 | chocolate | 70 |
2020-02-07 | chocolate | 97 |
2020-02-08 | chocolate | 200 |
2020-02-09 | chocolate | 130 |
2020-02-10 | chocolate | 107 |
2020-02-11 | chocolate | 88 |
2020-02-12 | chocolate | 107 |
2020-02-13 | chocolate | 48 |
2020-02-14 | chocolate | 136 |
2020-02-15 | chocolate | 216 |
2020-02-16 | chocolate | 152 |
2020-02-17 | chocolate | 142 |
2020-02-18 | chocolate | 152 |
2020-02-19 | chocolate | 162 |
2020-02-20 | chocolate | 65 |
2020-02-21 | chocolate | 115 |
2020-02-22 | chocolate | 199 |
2020-02-23 | chocolate | 166 |
2020-02-24 | chocolate | 101 |
2020-02-25 | chocolate | 103 |
2020-02-26 | chocolate | 100 |
2020-02-27 | chocolate | 76 |
2020-02-28 | chocolate | 113 |
2020-02-29 | chocolate | 165 |
2020-03-01 | chocolate | 156 |
2020-03-02 | chocolate | 106 |
2020-03-03 | chocolate | 117 |
2020-03-04 | chocolate | 92 |
2020-03-05 | chocolate | 83 |
2020-03-06 | chocolate | 108 |
2020-03-07 | chocolate | 204 |
2020-03-08 | chocolate | 143 |
2020-03-09 | chocolate | 138 |
2020-03-10 | chocolate | 155 |
2020-03-11 | chocolate | 153 |
2020-03-12 | chocolate | 123 |
2020-03-13 | chocolate | 93 |
2020-03-14 | chocolate | 143 |
2020-03-15 | chocolate | 151 |
2020-03-16 | chocolate | 166 |
2020-03-17 | chocolate | 134 |
2020-03-18 | chocolate | 183 |
2020-03-19 | chocolate | 106 |
2020-03-20 | chocolate | 80 |
2020-03-21 | chocolate | 162 |
2020-03-22 | chocolate | 129 |
2020-03-23 | chocolate | 157 |
2020-03-24 | chocolate | 182 |
2020-03-25 | chocolate | 185 |
2020-03-26 | chocolate | 124 |
2020-03-27 | chocolate | 135 |
2020-03-28 | chocolate | 297 |
2020-03-29 | chocolate | 170 |
2020-03-30 | chocolate | 97 |
2020-03-31 | chocolate | 106 |
2020-04-01 | chocolate | 83 |
2020-04-02 | chocolate | 103 |
2020-04-03 | chocolate | 81 |
2020-04-04 | chocolate | 141 |
2020-04-05 | chocolate | 174 |
2020-04-06 | chocolate | 126 |
2020-04-07 | chocolate | 110 |
2020-04-08 | chocolate | 87 |
2020-04-09 | chocolate | 78 |
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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 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
{
dates: "2020-01-01",
product_id: "chocolate",
sales: 137
}
How to use
from datasets import load_dataset
dataset = load_dataset("AiresPucrs/time-series-data", split='train')
License
This dataset is licensed under the Apache-2.0.
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