Tourist Numbers Time Series Dataset
Data Science and Analytics
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About
This dataset provides real-world tourist numbers visiting an island, designed for beginners to implement forecasting models. Its primary purpose is to enable users to explore trend and seasonality components to build robust predictive models. The objective is specifically to forecast tourist numbers for the subsequent six months.
Columns
- Date: Represents dates in Unicode format.
- TouristNumber: Indicates the total number of tourists visiting the island.
Distribution
The dataset is provided in a CSV format, named
data.csv
, with a file size of approximately 3.73 kB. It contains 2 columns and 288 records. Both the 'Date' and 'TouristNumber' columns are entirely valid with no missing or mismatched entries across all 288 records.Usage
This dataset is ideal for learning and practising time series forecasting. It can be used by beginners to build and test various forecasting models, focusing on understanding and manipulating trend and seasonality. The dataset is suitable for predicting future tourist volumes, specifically for a six-month horizon.
Coverage
The data covers tourist numbers for a single island location. While specific date ranges are represented by numerical values in the source, the dataset captures a period suitable for time-series analysis. No specific demographic breakdown of tourists is provided.
License
CC0: Public Domain
Who Can Use It
This dataset is primarily intended for beginners in data science and time series analysis. It is suitable for those looking to develop and refine their skills in forecasting tourist numbers, explore different forecasting methodologies, and understand the impact of trend and seasonality in real-world data.
Dataset Name Suggestions
- Island Tourist Forecasting Data
- Univariate Island Tourism Forecasts
- Tourist Numbers Time Series Dataset
- Island Visitor Forecasting Data
- Tourism Prediction Dataset
Attributes
Original Data Source: Tourist Numbers Time Series Dataset