Dataset: Chinatown
| Train Size | Test Size | Length | Number of Classes | Number of Dimensions | Type |
| 20 | 345 | 24 | 2 | 1 | TRAFFIC |
| Data Source: | Link Here |
| Donated By: | H.A. Dau |
| Description: | The Chinatown data problem is to predict week of the day based on the time series of pedestrian volumes. The City of Melbourne, Australia has developed an automated pedestrian counting system to better understand pedestrian activity within the municipality, such as how people use different city locations at different time of the day. The data analysis can facility decision making and urban planning for the future. This data is from 10 locations for the whole year 2017. Time series are pedestrian count in Chinatown-Swanston St (North for 12 months of the year 2017. Classes are based on whether data are from a normal day or a weekend day. There is nothing to infer from the order of examples in the train and test set. Data source: City of Melbourne (Link Here) Data edited by Hoang Anh Dau. |
